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ahmadiga/min_edx
|
common/test/acceptance/tests/lms/test_lms_courseware.py
|
26
|
15868
|
# -*- coding: utf-8 -*-
"""
End-to-end tests for the LMS.
"""
import time
from ..helpers import UniqueCourseTest
from ...pages.studio.auto_auth import AutoAuthPage
from ...pages.lms.create_mode import ModeCreationPage
from ...pages.studio.overview import CourseOutlinePage
from ...pages.lms.courseware import CoursewarePage, CoursewareSequentialTabPage
from ...pages.lms.course_nav import CourseNavPage
from ...pages.lms.problem import ProblemPage
from ...pages.common.logout import LogoutPage
from ...pages.lms.track_selection import TrackSelectionPage
from ...pages.lms.pay_and_verify import PaymentAndVerificationFlow, FakePaymentPage
from ...pages.lms.dashboard import DashboardPage
from ...fixtures.course import CourseFixture, XBlockFixtureDesc
class CoursewareTest(UniqueCourseTest):
"""
Test courseware.
"""
USERNAME = "STUDENT_TESTER"
EMAIL = "student101@example.com"
def setUp(self):
super(CoursewareTest, self).setUp()
self.courseware_page = CoursewarePage(self.browser, self.course_id)
self.course_outline = CourseOutlinePage(
self.browser,
self.course_info['org'],
self.course_info['number'],
self.course_info['run']
)
# Install a course with sections/problems, tabs, updates, and handouts
course_fix = CourseFixture(
self.course_info['org'], self.course_info['number'],
self.course_info['run'], self.course_info['display_name']
)
course_fix.add_children(
XBlockFixtureDesc('chapter', 'Test Section 1').add_children(
XBlockFixtureDesc('sequential', 'Test Subsection 1').add_children(
XBlockFixtureDesc('problem', 'Test Problem 1')
)
),
XBlockFixtureDesc('chapter', 'Test Section 2').add_children(
XBlockFixtureDesc('sequential', 'Test Subsection 2').add_children(
XBlockFixtureDesc('problem', 'Test Problem 2')
)
)
).install()
# Auto-auth register for the course.
self._auto_auth(self.USERNAME, self.EMAIL, False)
def _goto_problem_page(self):
"""
Open problem page with assertion.
"""
self.courseware_page.visit()
self.problem_page = ProblemPage(self.browser)
self.assertEqual(self.problem_page.problem_name, 'TEST PROBLEM 1')
def _auto_auth(self, username, email, staff):
"""
Logout and login with given credentials.
"""
AutoAuthPage(self.browser, username=username, email=email,
course_id=self.course_id, staff=staff).visit()
def test_courseware(self):
"""
Test courseware if recent visited subsection become unpublished.
"""
# Visit problem page as a student.
self._goto_problem_page()
# Logout and login as a staff user.
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
# Visit course outline page in studio.
self.course_outline.visit()
# Set release date for subsection in future.
self.course_outline.change_problem_release_date_in_studio()
# Logout and login as a student.
LogoutPage(self.browser).visit()
self._auto_auth(self.USERNAME, self.EMAIL, False)
# Visit courseware as a student.
self.courseware_page.visit()
# Problem name should be "TEST PROBLEM 2".
self.assertEqual(self.problem_page.problem_name, 'TEST PROBLEM 2')
class ProctoredExamTest(UniqueCourseTest):
"""
Test courseware.
"""
USERNAME = "STUDENT_TESTER"
EMAIL = "student101@example.com"
def setUp(self):
super(ProctoredExamTest, self).setUp()
self.courseware_page = CoursewarePage(self.browser, self.course_id)
self.course_outline = CourseOutlinePage(
self.browser,
self.course_info['org'],
self.course_info['number'],
self.course_info['run']
)
# Install a course with sections/problems, tabs, updates, and handouts
course_fix = CourseFixture(
self.course_info['org'], self.course_info['number'],
self.course_info['run'], self.course_info['display_name']
)
course_fix.add_advanced_settings({
"enable_proctored_exams": {"value": "true"}
})
course_fix.add_children(
XBlockFixtureDesc('chapter', 'Test Section 1').add_children(
XBlockFixtureDesc('sequential', 'Test Subsection 1').add_children(
XBlockFixtureDesc('problem', 'Test Problem 1')
)
)
).install()
self.track_selection_page = TrackSelectionPage(self.browser, self.course_id)
self.payment_and_verification_flow = PaymentAndVerificationFlow(self.browser, self.course_id)
self.immediate_verification_page = PaymentAndVerificationFlow(
self.browser, self.course_id, entry_point='verify-now'
)
self.upgrade_page = PaymentAndVerificationFlow(self.browser, self.course_id, entry_point='upgrade')
self.fake_payment_page = FakePaymentPage(self.browser, self.course_id)
self.dashboard_page = DashboardPage(self.browser)
self.problem_page = ProblemPage(self.browser)
# Add a verified mode to the course
ModeCreationPage(
self.browser, self.course_id, mode_slug=u'verified', mode_display_name=u'Verified Certificate',
min_price=10, suggested_prices='10,20'
).visit()
# Auto-auth register for the course.
self._auto_auth(self.USERNAME, self.EMAIL, False)
def _auto_auth(self, username, email, staff):
"""
Logout and login with given credentials.
"""
AutoAuthPage(self.browser, username=username, email=email,
course_id=self.course_id, staff=staff).visit()
def _login_as_a_verified_user(self):
"""
login as a verififed user
"""
self._auto_auth(self.USERNAME, self.EMAIL, False)
# the track selection page cannot be visited. see the other tests to see if any prereq is there.
# Navigate to the track selection page
self.track_selection_page.visit()
# Enter the payment and verification flow by choosing to enroll as verified
self.track_selection_page.enroll('verified')
# Proceed to the fake payment page
self.payment_and_verification_flow.proceed_to_payment()
# Submit payment
self.fake_payment_page.submit_payment()
def test_can_create_proctored_exam_in_studio(self):
"""
Test that Proctored exam settings are visible in Studio.
"""
# Given that I am a staff member
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
# When I visit the course outline page in studio.
self.course_outline.visit()
# And open the subsection edit dialog
self.course_outline.open_exam_settings_dialog()
# Then I can view all settings related to Proctored and timed exams
self.assertTrue(self.course_outline.proctoring_items_are_displayed())
def test_proctored_exam_flow(self):
"""
Test that staff can create a proctored exam.
"""
# Given that I am a staff member on the exam settings section
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I Make the exam proctored.
self.course_outline.make_exam_proctored()
# And I login as a verified student.
LogoutPage(self.browser).visit()
self._login_as_a_verified_user()
# And visit the courseware as a verified student.
self.courseware_page.visit()
# Then I can see an option to take the exam as a proctored exam.
self.assertTrue(self.courseware_page.can_start_proctored_exam)
def test_timed_exam_flow(self):
"""
Test that staff can create a timed exam.
"""
# Given that I am a staff member on the exam settings section
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I Make the exam timed.
self.course_outline.make_exam_timed()
# And I login as a verified student.
LogoutPage(self.browser).visit()
self._login_as_a_verified_user()
# And visit the courseware as a verified student.
self.courseware_page.visit()
# And I start the timed exam
self.courseware_page.start_timed_exam()
# Then I am taken to the exam with a timer bar showing
self.assertTrue(self.courseware_page.is_timer_bar_present)
def test_time_allotted_field_is_not_visible_with_none_exam(self):
"""
Test that the time allotted text field is not shown if 'none' radio
button is selected
"""
# Given that I am a staff member
# And I have visited the course outline page in studio.
# And the subsection edit dialog is open
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I select the 'None' exams radio button
self.course_outline.select_none_exam()
# Then the time allotted text field becomes invisible
self.assertFalse(self.course_outline.time_allotted_field_visible())
def test_time_allotted_field_is_visible_with_timed_exam(self):
"""
Test that the time allotted text field is shown if timed exam radio
button is selected
"""
# Given that I am a staff member
# And I have visited the course outline page in studio.
# And the subsection edit dialog is open
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I select the timed exams radio button
self.course_outline.select_timed_exam()
# Then the time allotted text field becomes visible
self.assertTrue(self.course_outline.time_allotted_field_visible())
def test_time_allotted_field_is_visible_with_proctored_exam(self):
"""
Test that the time allotted text field is shown if proctored exam radio
button is selected
"""
# Given that I am a staff member
# And I have visited the course outline page in studio.
# And the subsection edit dialog is open
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I select the proctored exams radio button
self.course_outline.select_proctored_exam()
# Then the time allotted text field becomes visible
self.assertTrue(self.course_outline.time_allotted_field_visible())
def test_time_allotted_field_is_visible_with_practice_exam(self):
"""
Test that the time allotted text field is shown if practice exam radio
button is selected
"""
# Given that I am a staff member
# And I have visited the course outline page in studio.
# And the subsection edit dialog is open
LogoutPage(self.browser).visit()
self._auto_auth("STAFF_TESTER", "staff101@example.com", True)
self.course_outline.visit()
self.course_outline.open_exam_settings_dialog()
# When I select the practice exams radio button
self.course_outline.select_practice_exam()
# Then the time allotted text field becomes visible
self.assertTrue(self.course_outline.time_allotted_field_visible())
class CoursewareMultipleVerticalsTest(UniqueCourseTest):
"""
Test courseware with multiple verticals
"""
USERNAME = "STUDENT_TESTER"
EMAIL = "student101@example.com"
def setUp(self):
super(CoursewareMultipleVerticalsTest, self).setUp()
self.courseware_page = CoursewarePage(self.browser, self.course_id)
self.course_outline = CourseOutlinePage(
self.browser,
self.course_info['org'],
self.course_info['number'],
self.course_info['run']
)
# Install a course with sections/problems, tabs, updates, and handouts
course_fix = CourseFixture(
self.course_info['org'], self.course_info['number'],
self.course_info['run'], self.course_info['display_name']
)
course_fix.add_children(
XBlockFixtureDesc('chapter', 'Test Section 1').add_children(
XBlockFixtureDesc('sequential', 'Test Subsection 1').add_children(
XBlockFixtureDesc('problem', 'Test Problem 1', data='<problem>problem 1 dummy body</problem>'),
XBlockFixtureDesc('html', 'html 1', data="<html>html 1 dummy body</html>"),
XBlockFixtureDesc('problem', 'Test Problem 2', data="<problem>problem 2 dummy body</problem>"),
XBlockFixtureDesc('html', 'html 2', data="<html>html 2 dummy body</html>"),
),
XBlockFixtureDesc('sequential', 'Test Subsection 2'),
),
).install()
# Auto-auth register for the course.
AutoAuthPage(self.browser, username=self.USERNAME, email=self.EMAIL,
course_id=self.course_id, staff=False).visit()
self.courseware_page.visit()
self.course_nav = CourseNavPage(self.browser)
def test_tab_position(self):
# test that using the position in the url direct to correct tab in courseware
self.course_nav.go_to_section('Test Section 1', 'Test Subsection 1')
subsection_url = self.courseware_page.get_active_subsection_url()
url_part_list = subsection_url.split('/')
self.assertEqual(len(url_part_list), 9)
course_id = url_part_list[4]
chapter_id = url_part_list[-3]
subsection_id = url_part_list[-2]
problem1_page = CoursewareSequentialTabPage(
self.browser,
course_id=course_id,
chapter=chapter_id,
subsection=subsection_id,
position=1
).visit()
self.assertIn('problem 1 dummy body', problem1_page.get_selected_tab_content())
html1_page = CoursewareSequentialTabPage(
self.browser,
course_id=course_id,
chapter=chapter_id,
subsection=subsection_id,
position=2
).visit()
self.assertIn('html 1 dummy body', html1_page.get_selected_tab_content())
problem2_page = CoursewareSequentialTabPage(
self.browser,
course_id=course_id,
chapter=chapter_id,
subsection=subsection_id,
position=3
).visit()
self.assertIn('problem 2 dummy body', problem2_page.get_selected_tab_content())
html2_page = CoursewareSequentialTabPage(
self.browser,
course_id=course_id,
chapter=chapter_id,
subsection=subsection_id,
position=4
).visit()
self.assertIn('html 2 dummy body', html2_page.get_selected_tab_content())
|
agpl-3.0
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] |
akhilari7/pa-dude
|
lib/python2.7/site-packages/chardet/mbcssm.py
|
1783
|
19590
|
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is mozilla.org code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .constants import eStart, eError, eItsMe
# BIG5
BIG5_cls = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
1,1,1,0,1,1,1,1, # 18 - 1f
1,1,1,1,1,1,1,1, # 20 - 27
1,1,1,1,1,1,1,1, # 28 - 2f
1,1,1,1,1,1,1,1, # 30 - 37
1,1,1,1,1,1,1,1, # 38 - 3f
2,2,2,2,2,2,2,2, # 40 - 47
2,2,2,2,2,2,2,2, # 48 - 4f
2,2,2,2,2,2,2,2, # 50 - 57
2,2,2,2,2,2,2,2, # 58 - 5f
2,2,2,2,2,2,2,2, # 60 - 67
2,2,2,2,2,2,2,2, # 68 - 6f
2,2,2,2,2,2,2,2, # 70 - 77
2,2,2,2,2,2,2,1, # 78 - 7f
4,4,4,4,4,4,4,4, # 80 - 87
4,4,4,4,4,4,4,4, # 88 - 8f
4,4,4,4,4,4,4,4, # 90 - 97
4,4,4,4,4,4,4,4, # 98 - 9f
4,3,3,3,3,3,3,3, # a0 - a7
3,3,3,3,3,3,3,3, # a8 - af
3,3,3,3,3,3,3,3, # b0 - b7
3,3,3,3,3,3,3,3, # b8 - bf
3,3,3,3,3,3,3,3, # c0 - c7
3,3,3,3,3,3,3,3, # c8 - cf
3,3,3,3,3,3,3,3, # d0 - d7
3,3,3,3,3,3,3,3, # d8 - df
3,3,3,3,3,3,3,3, # e0 - e7
3,3,3,3,3,3,3,3, # e8 - ef
3,3,3,3,3,3,3,3, # f0 - f7
3,3,3,3,3,3,3,0 # f8 - ff
)
BIG5_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,#08-0f
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart#10-17
)
Big5CharLenTable = (0, 1, 1, 2, 0)
Big5SMModel = {'classTable': BIG5_cls,
'classFactor': 5,
'stateTable': BIG5_st,
'charLenTable': Big5CharLenTable,
'name': 'Big5'}
# CP949
CP949_cls = (
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,0,0, # 00 - 0f
1,1,1,1,1,1,1,1, 1,1,1,0,1,1,1,1, # 10 - 1f
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, # 20 - 2f
1,1,1,1,1,1,1,1, 1,1,1,1,1,1,1,1, # 30 - 3f
1,4,4,4,4,4,4,4, 4,4,4,4,4,4,4,4, # 40 - 4f
4,4,5,5,5,5,5,5, 5,5,5,1,1,1,1,1, # 50 - 5f
1,5,5,5,5,5,5,5, 5,5,5,5,5,5,5,5, # 60 - 6f
5,5,5,5,5,5,5,5, 5,5,5,1,1,1,1,1, # 70 - 7f
0,6,6,6,6,6,6,6, 6,6,6,6,6,6,6,6, # 80 - 8f
6,6,6,6,6,6,6,6, 6,6,6,6,6,6,6,6, # 90 - 9f
6,7,7,7,7,7,7,7, 7,7,7,7,7,8,8,8, # a0 - af
7,7,7,7,7,7,7,7, 7,7,7,7,7,7,7,7, # b0 - bf
7,7,7,7,7,7,9,2, 2,3,2,2,2,2,2,2, # c0 - cf
2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2,2, # d0 - df
2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2,2, # e0 - ef
2,2,2,2,2,2,2,2, 2,2,2,2,2,2,2,0, # f0 - ff
)
CP949_st = (
#cls= 0 1 2 3 4 5 6 7 8 9 # previous state =
eError,eStart, 3,eError,eStart,eStart, 4, 5,eError, 6, # eStart
eError,eError,eError,eError,eError,eError,eError,eError,eError,eError, # eError
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe, # eItsMe
eError,eError,eStart,eStart,eError,eError,eError,eStart,eStart,eStart, # 3
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 4
eError,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart,eStart, # 5
eError,eStart,eStart,eStart,eStart,eError,eError,eStart,eStart,eStart, # 6
)
CP949CharLenTable = (0, 1, 2, 0, 1, 1, 2, 2, 0, 2)
CP949SMModel = {'classTable': CP949_cls,
'classFactor': 10,
'stateTable': CP949_st,
'charLenTable': CP949CharLenTable,
'name': 'CP949'}
# EUC-JP
EUCJP_cls = (
4,4,4,4,4,4,4,4, # 00 - 07
4,4,4,4,4,4,5,5, # 08 - 0f
4,4,4,4,4,4,4,4, # 10 - 17
4,4,4,5,4,4,4,4, # 18 - 1f
4,4,4,4,4,4,4,4, # 20 - 27
4,4,4,4,4,4,4,4, # 28 - 2f
4,4,4,4,4,4,4,4, # 30 - 37
4,4,4,4,4,4,4,4, # 38 - 3f
4,4,4,4,4,4,4,4, # 40 - 47
4,4,4,4,4,4,4,4, # 48 - 4f
4,4,4,4,4,4,4,4, # 50 - 57
4,4,4,4,4,4,4,4, # 58 - 5f
4,4,4,4,4,4,4,4, # 60 - 67
4,4,4,4,4,4,4,4, # 68 - 6f
4,4,4,4,4,4,4,4, # 70 - 77
4,4,4,4,4,4,4,4, # 78 - 7f
5,5,5,5,5,5,5,5, # 80 - 87
5,5,5,5,5,5,1,3, # 88 - 8f
5,5,5,5,5,5,5,5, # 90 - 97
5,5,5,5,5,5,5,5, # 98 - 9f
5,2,2,2,2,2,2,2, # a0 - a7
2,2,2,2,2,2,2,2, # a8 - af
2,2,2,2,2,2,2,2, # b0 - b7
2,2,2,2,2,2,2,2, # b8 - bf
2,2,2,2,2,2,2,2, # c0 - c7
2,2,2,2,2,2,2,2, # c8 - cf
2,2,2,2,2,2,2,2, # d0 - d7
2,2,2,2,2,2,2,2, # d8 - df
0,0,0,0,0,0,0,0, # e0 - e7
0,0,0,0,0,0,0,0, # e8 - ef
0,0,0,0,0,0,0,0, # f0 - f7
0,0,0,0,0,0,0,5 # f8 - ff
)
EUCJP_st = (
3, 4, 3, 5,eStart,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eStart,eError,eStart,eError,eError,eError,#10-17
eError,eError,eStart,eError,eError,eError, 3,eError,#18-1f
3,eError,eError,eError,eStart,eStart,eStart,eStart#20-27
)
EUCJPCharLenTable = (2, 2, 2, 3, 1, 0)
EUCJPSMModel = {'classTable': EUCJP_cls,
'classFactor': 6,
'stateTable': EUCJP_st,
'charLenTable': EUCJPCharLenTable,
'name': 'EUC-JP'}
# EUC-KR
EUCKR_cls = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
1,1,1,0,1,1,1,1, # 18 - 1f
1,1,1,1,1,1,1,1, # 20 - 27
1,1,1,1,1,1,1,1, # 28 - 2f
1,1,1,1,1,1,1,1, # 30 - 37
1,1,1,1,1,1,1,1, # 38 - 3f
1,1,1,1,1,1,1,1, # 40 - 47
1,1,1,1,1,1,1,1, # 48 - 4f
1,1,1,1,1,1,1,1, # 50 - 57
1,1,1,1,1,1,1,1, # 58 - 5f
1,1,1,1,1,1,1,1, # 60 - 67
1,1,1,1,1,1,1,1, # 68 - 6f
1,1,1,1,1,1,1,1, # 70 - 77
1,1,1,1,1,1,1,1, # 78 - 7f
0,0,0,0,0,0,0,0, # 80 - 87
0,0,0,0,0,0,0,0, # 88 - 8f
0,0,0,0,0,0,0,0, # 90 - 97
0,0,0,0,0,0,0,0, # 98 - 9f
0,2,2,2,2,2,2,2, # a0 - a7
2,2,2,2,2,3,3,3, # a8 - af
2,2,2,2,2,2,2,2, # b0 - b7
2,2,2,2,2,2,2,2, # b8 - bf
2,2,2,2,2,2,2,2, # c0 - c7
2,3,2,2,2,2,2,2, # c8 - cf
2,2,2,2,2,2,2,2, # d0 - d7
2,2,2,2,2,2,2,2, # d8 - df
2,2,2,2,2,2,2,2, # e0 - e7
2,2,2,2,2,2,2,2, # e8 - ef
2,2,2,2,2,2,2,2, # f0 - f7
2,2,2,2,2,2,2,0 # f8 - ff
)
EUCKR_st = (
eError,eStart, 3,eError,eError,eError,eError,eError,#00-07
eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,eStart #08-0f
)
EUCKRCharLenTable = (0, 1, 2, 0)
EUCKRSMModel = {'classTable': EUCKR_cls,
'classFactor': 4,
'stateTable': EUCKR_st,
'charLenTable': EUCKRCharLenTable,
'name': 'EUC-KR'}
# EUC-TW
EUCTW_cls = (
2,2,2,2,2,2,2,2, # 00 - 07
2,2,2,2,2,2,0,0, # 08 - 0f
2,2,2,2,2,2,2,2, # 10 - 17
2,2,2,0,2,2,2,2, # 18 - 1f
2,2,2,2,2,2,2,2, # 20 - 27
2,2,2,2,2,2,2,2, # 28 - 2f
2,2,2,2,2,2,2,2, # 30 - 37
2,2,2,2,2,2,2,2, # 38 - 3f
2,2,2,2,2,2,2,2, # 40 - 47
2,2,2,2,2,2,2,2, # 48 - 4f
2,2,2,2,2,2,2,2, # 50 - 57
2,2,2,2,2,2,2,2, # 58 - 5f
2,2,2,2,2,2,2,2, # 60 - 67
2,2,2,2,2,2,2,2, # 68 - 6f
2,2,2,2,2,2,2,2, # 70 - 77
2,2,2,2,2,2,2,2, # 78 - 7f
0,0,0,0,0,0,0,0, # 80 - 87
0,0,0,0,0,0,6,0, # 88 - 8f
0,0,0,0,0,0,0,0, # 90 - 97
0,0,0,0,0,0,0,0, # 98 - 9f
0,3,4,4,4,4,4,4, # a0 - a7
5,5,1,1,1,1,1,1, # a8 - af
1,1,1,1,1,1,1,1, # b0 - b7
1,1,1,1,1,1,1,1, # b8 - bf
1,1,3,1,3,3,3,3, # c0 - c7
3,3,3,3,3,3,3,3, # c8 - cf
3,3,3,3,3,3,3,3, # d0 - d7
3,3,3,3,3,3,3,3, # d8 - df
3,3,3,3,3,3,3,3, # e0 - e7
3,3,3,3,3,3,3,3, # e8 - ef
3,3,3,3,3,3,3,3, # f0 - f7
3,3,3,3,3,3,3,0 # f8 - ff
)
EUCTW_st = (
eError,eError,eStart, 3, 3, 3, 4,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eStart,eError,#10-17
eStart,eStart,eStart,eError,eError,eError,eError,eError,#18-1f
5,eError,eError,eError,eStart,eError,eStart,eStart,#20-27
eStart,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
)
EUCTWCharLenTable = (0, 0, 1, 2, 2, 2, 3)
EUCTWSMModel = {'classTable': EUCTW_cls,
'classFactor': 7,
'stateTable': EUCTW_st,
'charLenTable': EUCTWCharLenTable,
'name': 'x-euc-tw'}
# GB2312
GB2312_cls = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
1,1,1,0,1,1,1,1, # 18 - 1f
1,1,1,1,1,1,1,1, # 20 - 27
1,1,1,1,1,1,1,1, # 28 - 2f
3,3,3,3,3,3,3,3, # 30 - 37
3,3,1,1,1,1,1,1, # 38 - 3f
2,2,2,2,2,2,2,2, # 40 - 47
2,2,2,2,2,2,2,2, # 48 - 4f
2,2,2,2,2,2,2,2, # 50 - 57
2,2,2,2,2,2,2,2, # 58 - 5f
2,2,2,2,2,2,2,2, # 60 - 67
2,2,2,2,2,2,2,2, # 68 - 6f
2,2,2,2,2,2,2,2, # 70 - 77
2,2,2,2,2,2,2,4, # 78 - 7f
5,6,6,6,6,6,6,6, # 80 - 87
6,6,6,6,6,6,6,6, # 88 - 8f
6,6,6,6,6,6,6,6, # 90 - 97
6,6,6,6,6,6,6,6, # 98 - 9f
6,6,6,6,6,6,6,6, # a0 - a7
6,6,6,6,6,6,6,6, # a8 - af
6,6,6,6,6,6,6,6, # b0 - b7
6,6,6,6,6,6,6,6, # b8 - bf
6,6,6,6,6,6,6,6, # c0 - c7
6,6,6,6,6,6,6,6, # c8 - cf
6,6,6,6,6,6,6,6, # d0 - d7
6,6,6,6,6,6,6,6, # d8 - df
6,6,6,6,6,6,6,6, # e0 - e7
6,6,6,6,6,6,6,6, # e8 - ef
6,6,6,6,6,6,6,6, # f0 - f7
6,6,6,6,6,6,6,0 # f8 - ff
)
GB2312_st = (
eError,eStart,eStart,eStart,eStart,eStart, 3,eError,#00-07
eError,eError,eError,eError,eError,eError,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eError,eError,eStart,#10-17
4,eError,eStart,eStart,eError,eError,eError,eError,#18-1f
eError,eError, 5,eError,eError,eError,eItsMe,eError,#20-27
eError,eError,eStart,eStart,eStart,eStart,eStart,eStart #28-2f
)
# To be accurate, the length of class 6 can be either 2 or 4.
# But it is not necessary to discriminate between the two since
# it is used for frequency analysis only, and we are validing
# each code range there as well. So it is safe to set it to be
# 2 here.
GB2312CharLenTable = (0, 1, 1, 1, 1, 1, 2)
GB2312SMModel = {'classTable': GB2312_cls,
'classFactor': 7,
'stateTable': GB2312_st,
'charLenTable': GB2312CharLenTable,
'name': 'GB2312'}
# Shift_JIS
SJIS_cls = (
1,1,1,1,1,1,1,1, # 00 - 07
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
1,1,1,0,1,1,1,1, # 18 - 1f
1,1,1,1,1,1,1,1, # 20 - 27
1,1,1,1,1,1,1,1, # 28 - 2f
1,1,1,1,1,1,1,1, # 30 - 37
1,1,1,1,1,1,1,1, # 38 - 3f
2,2,2,2,2,2,2,2, # 40 - 47
2,2,2,2,2,2,2,2, # 48 - 4f
2,2,2,2,2,2,2,2, # 50 - 57
2,2,2,2,2,2,2,2, # 58 - 5f
2,2,2,2,2,2,2,2, # 60 - 67
2,2,2,2,2,2,2,2, # 68 - 6f
2,2,2,2,2,2,2,2, # 70 - 77
2,2,2,2,2,2,2,1, # 78 - 7f
3,3,3,3,3,2,2,3, # 80 - 87
3,3,3,3,3,3,3,3, # 88 - 8f
3,3,3,3,3,3,3,3, # 90 - 97
3,3,3,3,3,3,3,3, # 98 - 9f
#0xa0 is illegal in sjis encoding, but some pages does
#contain such byte. We need to be more error forgiven.
2,2,2,2,2,2,2,2, # a0 - a7
2,2,2,2,2,2,2,2, # a8 - af
2,2,2,2,2,2,2,2, # b0 - b7
2,2,2,2,2,2,2,2, # b8 - bf
2,2,2,2,2,2,2,2, # c0 - c7
2,2,2,2,2,2,2,2, # c8 - cf
2,2,2,2,2,2,2,2, # d0 - d7
2,2,2,2,2,2,2,2, # d8 - df
3,3,3,3,3,3,3,3, # e0 - e7
3,3,3,3,3,4,4,4, # e8 - ef
3,3,3,3,3,3,3,3, # f0 - f7
3,3,3,3,3,0,0,0) # f8 - ff
SJIS_st = (
eError,eStart,eStart, 3,eError,eError,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe,eError,eError,eStart,eStart,eStart,eStart #10-17
)
SJISCharLenTable = (0, 1, 1, 2, 0, 0)
SJISSMModel = {'classTable': SJIS_cls,
'classFactor': 6,
'stateTable': SJIS_st,
'charLenTable': SJISCharLenTable,
'name': 'Shift_JIS'}
# UCS2-BE
UCS2BE_cls = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
0,0,0,3,0,0,0,0, # 18 - 1f
0,0,0,0,0,0,0,0, # 20 - 27
0,3,3,3,3,3,0,0, # 28 - 2f
0,0,0,0,0,0,0,0, # 30 - 37
0,0,0,0,0,0,0,0, # 38 - 3f
0,0,0,0,0,0,0,0, # 40 - 47
0,0,0,0,0,0,0,0, # 48 - 4f
0,0,0,0,0,0,0,0, # 50 - 57
0,0,0,0,0,0,0,0, # 58 - 5f
0,0,0,0,0,0,0,0, # 60 - 67
0,0,0,0,0,0,0,0, # 68 - 6f
0,0,0,0,0,0,0,0, # 70 - 77
0,0,0,0,0,0,0,0, # 78 - 7f
0,0,0,0,0,0,0,0, # 80 - 87
0,0,0,0,0,0,0,0, # 88 - 8f
0,0,0,0,0,0,0,0, # 90 - 97
0,0,0,0,0,0,0,0, # 98 - 9f
0,0,0,0,0,0,0,0, # a0 - a7
0,0,0,0,0,0,0,0, # a8 - af
0,0,0,0,0,0,0,0, # b0 - b7
0,0,0,0,0,0,0,0, # b8 - bf
0,0,0,0,0,0,0,0, # c0 - c7
0,0,0,0,0,0,0,0, # c8 - cf
0,0,0,0,0,0,0,0, # d0 - d7
0,0,0,0,0,0,0,0, # d8 - df
0,0,0,0,0,0,0,0, # e0 - e7
0,0,0,0,0,0,0,0, # e8 - ef
0,0,0,0,0,0,0,0, # f0 - f7
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2BE_st = (
5, 7, 7,eError, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 6, 6, 6, 6,eError,eError,#10-17
6, 6, 6, 6, 6,eItsMe, 6, 6,#18-1f
6, 6, 6, 6, 5, 7, 7,eError,#20-27
5, 8, 6, 6,eError, 6, 6, 6,#28-2f
6, 6, 6, 6,eError,eError,eStart,eStart #30-37
)
UCS2BECharLenTable = (2, 2, 2, 0, 2, 2)
UCS2BESMModel = {'classTable': UCS2BE_cls,
'classFactor': 6,
'stateTable': UCS2BE_st,
'charLenTable': UCS2BECharLenTable,
'name': 'UTF-16BE'}
# UCS2-LE
UCS2LE_cls = (
0,0,0,0,0,0,0,0, # 00 - 07
0,0,1,0,0,2,0,0, # 08 - 0f
0,0,0,0,0,0,0,0, # 10 - 17
0,0,0,3,0,0,0,0, # 18 - 1f
0,0,0,0,0,0,0,0, # 20 - 27
0,3,3,3,3,3,0,0, # 28 - 2f
0,0,0,0,0,0,0,0, # 30 - 37
0,0,0,0,0,0,0,0, # 38 - 3f
0,0,0,0,0,0,0,0, # 40 - 47
0,0,0,0,0,0,0,0, # 48 - 4f
0,0,0,0,0,0,0,0, # 50 - 57
0,0,0,0,0,0,0,0, # 58 - 5f
0,0,0,0,0,0,0,0, # 60 - 67
0,0,0,0,0,0,0,0, # 68 - 6f
0,0,0,0,0,0,0,0, # 70 - 77
0,0,0,0,0,0,0,0, # 78 - 7f
0,0,0,0,0,0,0,0, # 80 - 87
0,0,0,0,0,0,0,0, # 88 - 8f
0,0,0,0,0,0,0,0, # 90 - 97
0,0,0,0,0,0,0,0, # 98 - 9f
0,0,0,0,0,0,0,0, # a0 - a7
0,0,0,0,0,0,0,0, # a8 - af
0,0,0,0,0,0,0,0, # b0 - b7
0,0,0,0,0,0,0,0, # b8 - bf
0,0,0,0,0,0,0,0, # c0 - c7
0,0,0,0,0,0,0,0, # c8 - cf
0,0,0,0,0,0,0,0, # d0 - d7
0,0,0,0,0,0,0,0, # d8 - df
0,0,0,0,0,0,0,0, # e0 - e7
0,0,0,0,0,0,0,0, # e8 - ef
0,0,0,0,0,0,0,0, # f0 - f7
0,0,0,0,0,0,4,5 # f8 - ff
)
UCS2LE_st = (
6, 6, 7, 6, 4, 3,eError,eError,#00-07
eError,eError,eError,eError,eItsMe,eItsMe,eItsMe,eItsMe,#08-0f
eItsMe,eItsMe, 5, 5, 5,eError,eItsMe,eError,#10-17
5, 5, 5,eError, 5,eError, 6, 6,#18-1f
7, 6, 8, 8, 5, 5, 5,eError,#20-27
5, 5, 5,eError,eError,eError, 5, 5,#28-2f
5, 5, 5,eError, 5,eError,eStart,eStart #30-37
)
UCS2LECharLenTable = (2, 2, 2, 2, 2, 2)
UCS2LESMModel = {'classTable': UCS2LE_cls,
'classFactor': 6,
'stateTable': UCS2LE_st,
'charLenTable': UCS2LECharLenTable,
'name': 'UTF-16LE'}
# UTF-8
UTF8_cls = (
1,1,1,1,1,1,1,1, # 00 - 07 #allow 0x00 as a legal value
1,1,1,1,1,1,0,0, # 08 - 0f
1,1,1,1,1,1,1,1, # 10 - 17
1,1,1,0,1,1,1,1, # 18 - 1f
1,1,1,1,1,1,1,1, # 20 - 27
1,1,1,1,1,1,1,1, # 28 - 2f
1,1,1,1,1,1,1,1, # 30 - 37
1,1,1,1,1,1,1,1, # 38 - 3f
1,1,1,1,1,1,1,1, # 40 - 47
1,1,1,1,1,1,1,1, # 48 - 4f
1,1,1,1,1,1,1,1, # 50 - 57
1,1,1,1,1,1,1,1, # 58 - 5f
1,1,1,1,1,1,1,1, # 60 - 67
1,1,1,1,1,1,1,1, # 68 - 6f
1,1,1,1,1,1,1,1, # 70 - 77
1,1,1,1,1,1,1,1, # 78 - 7f
2,2,2,2,3,3,3,3, # 80 - 87
4,4,4,4,4,4,4,4, # 88 - 8f
4,4,4,4,4,4,4,4, # 90 - 97
4,4,4,4,4,4,4,4, # 98 - 9f
5,5,5,5,5,5,5,5, # a0 - a7
5,5,5,5,5,5,5,5, # a8 - af
5,5,5,5,5,5,5,5, # b0 - b7
5,5,5,5,5,5,5,5, # b8 - bf
0,0,6,6,6,6,6,6, # c0 - c7
6,6,6,6,6,6,6,6, # c8 - cf
6,6,6,6,6,6,6,6, # d0 - d7
6,6,6,6,6,6,6,6, # d8 - df
7,8,8,8,8,8,8,8, # e0 - e7
8,8,8,8,8,9,8,8, # e8 - ef
10,11,11,11,11,11,11,11, # f0 - f7
12,13,13,13,14,15,0,0 # f8 - ff
)
UTF8_st = (
eError,eStart,eError,eError,eError,eError, 12, 10,#00-07
9, 11, 8, 7, 6, 5, 4, 3,#08-0f
eError,eError,eError,eError,eError,eError,eError,eError,#10-17
eError,eError,eError,eError,eError,eError,eError,eError,#18-1f
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#20-27
eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,eItsMe,#28-2f
eError,eError, 5, 5, 5, 5,eError,eError,#30-37
eError,eError,eError,eError,eError,eError,eError,eError,#38-3f
eError,eError,eError, 5, 5, 5,eError,eError,#40-47
eError,eError,eError,eError,eError,eError,eError,eError,#48-4f
eError,eError, 7, 7, 7, 7,eError,eError,#50-57
eError,eError,eError,eError,eError,eError,eError,eError,#58-5f
eError,eError,eError,eError, 7, 7,eError,eError,#60-67
eError,eError,eError,eError,eError,eError,eError,eError,#68-6f
eError,eError, 9, 9, 9, 9,eError,eError,#70-77
eError,eError,eError,eError,eError,eError,eError,eError,#78-7f
eError,eError,eError,eError,eError, 9,eError,eError,#80-87
eError,eError,eError,eError,eError,eError,eError,eError,#88-8f
eError,eError, 12, 12, 12, 12,eError,eError,#90-97
eError,eError,eError,eError,eError,eError,eError,eError,#98-9f
eError,eError,eError,eError,eError, 12,eError,eError,#a0-a7
eError,eError,eError,eError,eError,eError,eError,eError,#a8-af
eError,eError, 12, 12, 12,eError,eError,eError,#b0-b7
eError,eError,eError,eError,eError,eError,eError,eError,#b8-bf
eError,eError,eStart,eStart,eStart,eStart,eError,eError,#c0-c7
eError,eError,eError,eError,eError,eError,eError,eError #c8-cf
)
UTF8CharLenTable = (0, 1, 0, 0, 0, 0, 2, 3, 3, 3, 4, 4, 5, 5, 6, 6)
UTF8SMModel = {'classTable': UTF8_cls,
'classFactor': 16,
'stateTable': UTF8_st,
'charLenTable': UTF8CharLenTable,
'name': 'UTF-8'}
|
mit
|
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subutai/nupic
|
src/nupic/algorithms/backtracking_tm_shim.py
|
6
|
9992
|
# ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2014, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero Public License version 3 as
# published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU Affero Public License for more details.
#
# You should have received a copy of the GNU Affero Public License
# along with this program. If not, see http://www.gnu.org/licenses.
#
# http://numenta.org/licenses/
# ----------------------------------------------------------------------
"""
A shim for the TM class that transparently implements TemporalMemory,
for use with OPF.
"""
import numpy
from nupic.bindings.algorithms import TemporalMemory as TemporalMemoryCPP
from nupic.algorithms.monitor_mixin.temporal_memory_monitor_mixin import (
TemporalMemoryMonitorMixin)
from nupic.algorithms.temporal_memory import TemporalMemory
class MonitoredTemporalMemory(TemporalMemoryMonitorMixin,
TemporalMemory):
def __init__(self, *args, **kwargs):
TemporalMemoryMonitorMixin.__init__(self, *args, **kwargs)
TemporalMemory.__init__(self, *args, **kwargs)
@classmethod
def read(cls, proto):
"""
Intercepts TemporalMemory deserialization request in order to initialize
`TemporalMemoryMonitorMixin` state
@param proto (DynamicStructBuilder) Proto object
@return (TemporalMemory) TemporalMemory shim instance
"""
tm = super(TemporalMemoryMonitorMixin, cls).read(proto)
# initialize `TemporalMemoryMonitorMixin` attributes
tm.mmName = None
tm._mmTraces = None
tm._mmData = None
tm.mmClearHistory()
tm._mmResetActive = True
return tm
class TMShimMixin(object):
"""
TM => Temporal Memory shim class.
"""
def __init__(self,
numberOfCols=500,
cellsPerColumn=10,
initialPerm=0.11,
connectedPerm=0.50,
minThreshold=8,
newSynapseCount=15,
permanenceInc=0.10,
permanenceDec=0.10,
permanenceMax=1.0,
activationThreshold=12,
predictedSegmentDecrement=0.0,
maxSegmentsPerCell=255,
maxSynapsesPerSegment=255,
globalDecay=0.10,
maxAge=100000,
pamLength=1,
verbosity=0,
outputType="normal",
seed=42):
"""
Translate parameters and initialize member variables specific to `backtracking_tm.py`.
"""
super(TMShimMixin, self).__init__(
columnDimensions=(numberOfCols,),
cellsPerColumn=cellsPerColumn,
activationThreshold=activationThreshold,
initialPermanence=initialPerm,
connectedPermanence=connectedPerm,
minThreshold=minThreshold,
maxNewSynapseCount=newSynapseCount,
permanenceIncrement=permanenceInc,
permanenceDecrement=permanenceDec,
predictedSegmentDecrement=predictedSegmentDecrement,
maxSegmentsPerCell=maxSegmentsPerCell,
maxSynapsesPerSegment=maxSynapsesPerSegment,
seed=seed)
self.infActiveState = {"t": None}
@classmethod
def read(cls, proto):
"""
Intercepts TemporalMemory deserialization request in order to initialize
`self.infActiveState`
@param proto (DynamicStructBuilder) Proto object
@return (TemporalMemory) TemporalMemory shim instance
"""
tm = super(TMShimMixin, cls).read(proto)
tm.infActiveState = {"t": None}
return tm
def compute(self, bottomUpInput, enableLearn, computeInfOutput=None):
"""
(From `backtracking_tm.py`)
Handle one compute, possibly learning.
@param bottomUpInput The bottom-up input, typically from a spatial pooler
@param enableLearn If true, perform learning
@param computeInfOutput If None, default behavior is to disable the inference
output when enableLearn is on.
If true, compute the inference output
If false, do not compute the inference output
"""
super(TMShimMixin, self).compute(set(bottomUpInput.nonzero()[0]),
learn=enableLearn)
numberOfCells = self.numberOfCells()
activeState = numpy.zeros(numberOfCells)
activeState[self.getActiveCells()] = 1
self.infActiveState["t"] = activeState
output = numpy.zeros(numberOfCells)
output[self.getPredictiveCells()] = 1
output[self.getActiveCells()] = 1
return output
def topDownCompute(self, topDownIn=None):
"""
(From `backtracking_tm.py`)
Top-down compute - generate expected input given output of the TM
@param topDownIn top down input from the level above us
@returns best estimate of the TM input that would have generated bottomUpOut.
"""
output = numpy.zeros(self.numberOfColumns())
columns = [self.columnForCell(idx) for idx in self.getPredictiveCells()]
output[columns] = 1
return output
def getActiveState(self):
activeState = numpy.zeros(self.numberOfCells())
activeState[self.getActiveCells()] = 1
return activeState
def getPredictedState(self):
predictedState = numpy.zeros(self.numberOfCells())
predictedState[self.getPredictiveCells()] = 1
return predictedState
def getLearnActiveStateT(self):
state = numpy.zeros([self.numberOfColumns(), self.getCellsPerColumn()])
return state
class TMShim(TMShimMixin, TemporalMemory):
pass
class TMCPPShim(TMShimMixin, TemporalMemoryCPP):
pass
class MonitoredTMShim(MonitoredTemporalMemory):
"""
TM => Monitored Temporal Memory shim class.
TODO: This class is not very DRY. This whole file needs to be replaced by a
pure TemporalMemory region
(WIP at https://github.com/numenta/nupic.research/pull/247).
"""
def __init__(self,
numberOfCols=500,
cellsPerColumn=10,
initialPerm=0.11,
connectedPerm=0.50,
minThreshold=8,
newSynapseCount=15,
permanenceInc=0.10,
permanenceDec=0.10,
permanenceMax=1.0,
activationThreshold=12,
predictedSegmentDecrement=0.0,
maxSegmentsPerCell=255,
maxSynapsesPerSegment=255,
globalDecay=0.10,
maxAge=100000,
pamLength=1,
verbosity=0,
outputType="normal",
seed=42):
"""
Translate parameters and initialize member variables specific to `backtracking_tm.py`.
"""
super(MonitoredTMShim, self).__init__(
columnDimensions=(numberOfCols,),
cellsPerColumn=cellsPerColumn,
activationThreshold=activationThreshold,
initialPermanence=initialPerm,
connectedPermanence=connectedPerm,
minThreshold=minThreshold,
maxNewSynapseCount=newSynapseCount,
permanenceIncrement=permanenceInc,
permanenceDecrement=permanenceDec,
predictedSegmentDecrement=predictedSegmentDecrement,
maxSegmentsPerCell=maxSegmentsPerCell,
maxSynapsesPerSegment=maxSynapsesPerSegment,
seed=seed)
self.infActiveState = {"t": None}
@classmethod
def read(cls, proto):
"""
Intercepts TemporalMemory deserialization request in order to initialize
`self.infActiveState`
@param proto (DynamicStructBuilder) Proto object
@return (TemporalMemory) TemporalMemory shim instance
"""
tm = super(MonitoredTMShim, cls).read(proto)
tm.infActiveState = {"t": None}
return tm
def compute(self, bottomUpInput, enableLearn, computeInfOutput=None):
"""
(From `backtracking_tm.py`)
Handle one compute, possibly learning.
@param bottomUpInput The bottom-up input, typically from a spatial pooler
@param enableLearn If true, perform learning
@param computeInfOutput If None, default behavior is to disable the inference
output when enableLearn is on.
If true, compute the inference output
If false, do not compute the inference output
"""
super(MonitoredTMShim, self).compute(set(bottomUpInput.nonzero()[0]),
learn=enableLearn)
numberOfCells = self.numberOfCells()
activeState = numpy.zeros(numberOfCells)
activeState[self.getActiveCells()] = 1
self.infActiveState["t"] = activeState
output = numpy.zeros(numberOfCells)
output[self.getPredictiveCells() + self.getActiveCells()] = 1
return output
def topDownCompute(self, topDownIn=None):
"""
(From `backtracking_tm.py`)
Top-down compute - generate expected input given output of the TM
@param topDownIn top down input from the level above us
@returns best estimate of the TM input that would have generated bottomUpOut.
"""
output = numpy.zeros(self.numberOfColumns())
columns = [self.columnForCell(idx) for idx in self.getPredictiveCells()]
output[columns] = 1
return output
def getActiveState(self):
activeState = numpy.zeros(self.numberOfCells())
activeState[self.getActiveCells()] = 1
return activeState
def getPredictedState(self):
predictedState = numpy.zeros(self.numberOfCells())
predictedState[self.getPredictiveCells()] = 1
return predictedState
def getLearnActiveStateT(self):
state = numpy.zeros([self.numberOfColumns(), self.cellsPerColumn])
return state
|
agpl-3.0
|
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Tranzystorek/servo
|
tests/wpt/css-tests/css-text-decor-3_dev/html/reference/support/generate-text-emphasis-line-height-tests.py
|
829
|
3431
|
#!/usr/bin/env python
# - * - coding: UTF-8 - * -
"""
This script generates tests text-emphasis-line-height-001 ~ 004 except
001z. They test the line height expansion in different directions. This
script outputs a list of all tests it generated in the format of Mozilla
reftest.list to the stdout.
"""
from __future__ import unicode_literals
TEST_FILE = 'text-emphasis-line-height-{:03}{}.html'
TEST_TEMPLATE = '''<!DOCTYPE html>
<meta charset="utf-8">
<title>CSS Test: text-emphasis line height, {pos}, {wm}, {tag}</title>
<link rel="author" title="Xidorn Quan" href="https://www.upsuper.org">
<link rel="author" title="Mozilla" href="https://www.mozilla.org">
<link rel="help" href="https://drafts.csswg.org/css-text-decor-3/#text-emphasis-position-property">
<meta name="assert" content="text emphasis marks should expand the line height like ruby if necessary">
<link rel="match" href="text-emphasis-line-height-{index:03}-ref.html">
<p>Pass if the emphasis marks are {dir} the black line:</p>
{start}試験テスト{end}
'''
REF_FILE = 'text-emphasis-line-height-{:03}-ref.html'
REF_TEMPLATE='''<!DOCTYPE html>
<meta charset="utf-8">
<title>CSS Reference: text-emphasis line height, {pos}</title>
<link rel="author" title="Xidorn Quan" href="https://www.upsuper.org">
<link rel="author" title="Mozilla" href="https://www.mozilla.org">
<style> rt {{ font-variant-east-asian: inherit; }} </style>
<p>Pass if the emphasis marks are {dir} the black line:</p>
<div style="line-height: 1; border-{pos}: 1px solid black; writing-mode: {wm}; ruby-position: {posval}"><ruby>試<rt>●</rt>験<rt>●</rt>テ<rt>●</rt>ス<rt>●</rt>ト<rt>●</rt></ruby></div>
'''
STYLE1 = 'line-height: 1; border-{pos}: 1px solid black; ' + \
'writing-mode: {wm}; text-emphasis-position: {posval};'
STYLE2 = 'text-emphasis: circle;'
TAGS = [
# (tag, start, end)
('div', '<div style="{style1}{style2}">', '</div>'),
('span', '<div style="{style1}"><span style="{style2}">', '</span></div>'),
]
POSITIONS = [
# pos, text-emphasis-position, ruby-position,
# writing-modes, dir text
('top', 'over right', 'over',
['horizontal-tb'], 'below'),
('bottom', 'under right', 'under',
['horizontal-tb'], 'over'),
('right', 'over right', 'over',
['vertical-rl', 'vertical-lr'], 'to the left of'),
('left', 'over left', 'under',
['vertical-rl', 'vertical-lr'], 'to the right of'),
]
import string
def write_file(filename, content):
with open(filename, 'wb') as f:
f.write(content.encode('UTF-8'))
print("# START tests from {}".format(__file__))
idx = 0
for (pos, emphasis_pos, ruby_pos, wms, dir) in POSITIONS:
idx += 1
ref_file = REF_FILE.format(idx)
content = REF_TEMPLATE.format(pos=pos, dir=dir, wm=wms[0], posval=ruby_pos)
write_file(ref_file, content)
suffix = iter(string.ascii_lowercase)
for wm in wms:
style1 = STYLE1.format(pos=pos, wm=wm, posval=emphasis_pos)
for (tag, start, end) in TAGS:
test_file = TEST_FILE.format(idx, next(suffix))
content = TEST_TEMPLATE.format(
pos=pos, wm=wm, tag=tag, index=idx, dir=dir,
start=start.format(style1=style1, style2=STYLE2), end=end)
write_file(test_file, content)
print("== {} {}".format(test_file, ref_file))
print("# END tests from {}".format(__file__))
|
mpl-2.0
|
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] |
ales-erjavec/orange-bio
|
orangecontrib/bio/chem.py
|
3
|
50948
|
"""A library for searching frequent molecular fragments (substructures) based on the
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
Christian Borgelt and Michael R. Berthold.
Classes (see their corresponding __doc__ strings for further detail):
Fragment : Representation of the fragment
FragmentMiner : The main class that does the search
Fragmenter : A class that is used to fragment an ExampleTable
FragmentBasedLearner : A learner wrapper class that first runs the molecular fragmentation on the data
"""
try:
from openbabel import OBMol, OBAtom, OBBond, OBSmartsPattern, OBConversion, OBMolAtomIter, OBMolBondIter, OBAtomBondIter
except ImportError:
pass
##from pybel import *
from copy import deepcopy
import Orange
import orange
import sys, os
debug=False
class Atom(object):
def __init__(self, molecule, atomicNum=6, aromaticFlag=False, atomIndex=0):
self.molecule=molecule
self.atomicNum=atomicNum
self.aromaticFlag=aromaticFlag
self.atomIndex=atomIndex
self.extendedIndex=0
self.lastExtendedBondOrder=1
self.lastExtendedAtomicNum=1
self.molecule.AddAtom(self)
def GetAtomicNum(self): return self.atomicNum
def IsAromatic(self): return self.aromaticFlag
def Match(self, atom):
#Match this atom to an OBAtom
if self.atomicNum==atom.GetAtomicNum() and self.IsAromatic()==atom.IsAromatic():
return True
else:
return False
def GetIdx(self):
return self.atomIndex
class Bond(object):
def __init__(self, molecule, atom1=None, atom2=None, bondOrder=1):
self.molecule=molecule
self.atom1=atom1
self.atom2=atom2
self.bondOrder=bondOrder
self.molecule.AddBond(self)
def GetBondOrder(self): return self.bondOrder
def GetNbrAtom(self, atom):
if atom==self.atom1:
return self.atom2
elif atom==self. atom2:
return self.atom1
else:
raise Exception("Atom does not belong to this bond")
def Match(self, bond):
#Match this bond to an OBBond
if self.GetbondOrder()==bond.GetBondOrder():
return True
else:
return False
class Ring(object):
def __init__(self, molecule, obRing, embeding):
self.molecule=molecule
molecule.AddRing(self)
self.ringAtoms=[]
self.isAromatic=obRing.IsAromatic()
reverseEmbedingDict=embeding.GetReverseDict()
newAtoms={}
self.extendedIndex=oldNextExtendedIndex=molecule.nextExtendedIndex
for ind1, ind2 in GetRingPairs(obRing._path):
atom1=embeding.GetReverseEmbededAtom(ind1, None) or newAtoms.get(ind1, None)
if not atom1:
atom1=Atom(molecule, embeding.molecule.GetAtom(ind1).GetAtomicNum(), obRing.IsAromatic())
newAtoms[ind1]=atom1
embeding[atom1.atomIndex]=ind1
atom2=embeding.GetReverseEmbededAtom(ind2, None) or newAtoms.get(ind2, None)
if not atom2:
atom2=Atom(molecule, embeding.molecule.GetAtom(ind2).GetAtomicNum(), obRing.IsAromatic())
newAtoms[ind2]=atom2
embeding[atom2.atomIndex]=ind2
Bond(molecule, atom1, atom2, embeding.molecule.GetBond(ind1, ind2).GetBondOrder())
self.ringAtoms.append(atom1)
for atom in newAtoms.values():
atom.extendedIndex=oldNextExtendedIndex
self.extendedIndex=oldNextExtendedIndex
molecule.nextExtendedIndex=oldNextExtendedIndex+1
def Size(self):
return len(self.ringAtoms)
def __getattr__(self, name):
if name == "_path":
return [a.GetIdx() for a in self.ringAtoms]
raise AttributeError
class Molecule(object):
def __init__(self):
self.atoms=[]
self.bonds=[]
self.rings=[]
self.nextExtendedIndex=0
def __deepcopy__(self, memo):
mol=Molecule()
memo[id(self)]=mol
mol.__in_place_deepcopy__(self, memo)
return mol
def __in_place_deepcopy__(self, mol, memo):
if debug: print "Copying molecule"
self.atoms=deepcopy(mol.atoms, memo)
#memo[mol.atoms]=self.atoms
self.bonds=deepcopy(mol.bonds, memo)
#memo[mol.bonds]=self.bonds
self.rings=deepcopy(mol.rings, memo)
self.nextExtendedIndex=mol.nextExtendedIndex
#memo[mol.rings]=self.rings"""
def AddAtom(self, atom):
if atom in self.atoms:
raise Exception("Atom already present")
self.atoms.append(atom)
atom.atomIndex=len(self.atoms)-1
atom.extendedIndex=self.nextExtendedIndex
self.nextExtendedIndex+=1
def AddBond(self, bond):
if bond in self.bonds:
raise Exception("Bond already present")
self.bonds.append(bond)
bond.bondIndex=len(self.bonds)-1
def AddRing(self, ring):
if ring in self.rings:
raise Exception("Ring already present")
self.rings.append(ring)
ring.ringIndex=len(self.rings)-1
def GetBond(self, atom1, atom2):
for bond in self.bonds:
if bond.atom1==atom1 and bond.atom2==atom2:
return bond
if bond.atom1==atom2 and bond.atom2==atom1:
return bond
return None
def GetAtom(self, index):
return self.atoms[index]
def cmpAtoms(atom1, atom2):
return atom1.GetAtomicNum()==atom2.GetAtomicNum() and atom1.IsAromatic()==atom2.IsAromatic()
def cmpAtomBonds(bond1, bond2):
return bond1.IsAromatic() and bond2.IsAromatic() or bond1.GetBondOrder()==bond2.GetBondOrder()
class Embeding(dict):
def __init__(self, embeding={}, molecule=None, fragment=None):
dict.__init__(self, embeding)
self.molecule=molecule
self.fragment=fragment
if embeding.__class__==Embeding:
if not self.molecule:
self.molecule=embeding.molecule
if not self.fragment:
self.fragment=embeding.fragment
def __deepcopy__(self, memo):
if id(self.fragment) in memo:
return Embeding(self, fragment=memo[id(self.fragment)])
else:
return Embeding(self)
def GetEmbededAtom(self, atomInd):
return self.molecule.GetAtom(self.__getitem__(atomInd))
def GetReverseEmbededAtom(self, atomInd, default=None):
rev=self.GetReverseDict()
if atomInd in rev:
return self.fragment.atoms[rev[atomInd]]
else:
return default
def GetReverseDict(self):
return dict([(value, key) for key, value in self.items()])
def GetRingPairs(list):
return reduce(lambda a,b:a+[(a[-1][1],b)], list[1:], [(list[-1],list[0])])
class FragmentExtension(object):
def __init__(self, startAtomInd, embedings):
self.startAtomInd=startAtomInd
self.embedings=embedings
def IsEquivalent(self, extension):
pass
def MergeFrom(self, extension):
pass
def Extend(self, fragment):
pass
class FragmentExtensionByAtom(FragmentExtension):
def __init__(self, atomicNum, aromatic, atomIndices, embedings):
self.atomicNum=atomicNum
self.aromatic=aromatic
self.atomIndices=atomIndices
self.embedings=embedings
def IsEquivalent(self, extension):
return self.atomicNum==extension.atomicNum and self.aromatic==extension.aromatic
def MergeFrom(self, extension):
self.embedings.extend(extension.embedings)
self.atomIndices.extend(extension.atomIndices)
def Extend(self, fragment):
atom=Atom(fragment, self.atomicNum, self.aromatic)
embedings=[Embeding(e, fragment=fragment)for e in self.embedings]
for embeding, atomInd in zip(embedings, self.atomIndices):
embeding[atom.atomIndex]=atomInd
fragment.embedings=embedings
class FragmentExtensionByBondAtom(FragmentExtension):
def __init__(self, startAtomInd, bondOrder, endAtoms, embedings):
FragmentExtension.__init__(self, startAtomInd, embedings)
self.bondOrder=bondOrder
self.endAtoms=endAtoms
def IsEquivalent(self, extension):
return self.startAtomInd==extension.startAtomInd and self.bondOrder==extension.bondOrder and cmpAtoms(self.endAtoms[0], extension.endAtoms[0])
def MergeFrom(self, extension):
self.endAtoms.extend(extension.endAtoms)
self.embedings.extend(extension.embedings)
def Extend(self, fragment):
if debug: print "Extending by bond and atom"
sAtom=fragment.atoms[self.startAtomInd]
atom=Atom(fragment, self.endAtoms[0].GetAtomicNum(),self.endAtoms[0].IsAromatic())
#atom.SetAtomicNum(self.endAtoms[0].GetAtomicNum())
Bond(fragment, sAtom, atom, self.bondOrder)
sAtom.lastExtendedBondOrder=self.bondOrder
sAtom.lastExtendedAtomicNum=atom.GetAtomicNum()
fragment.lastExtendedAtomIndex=sAtom.extendedIndex
embedings=[Embeding(e, fragment=fragment)for e in self.embedings]
for embeding, endAtom in zip(embedings, self.endAtoms):
embeding[atom.atomIndex]=endAtom.GetIdx()
fragment.embedings=embedings
class FragmentExtensionByBond(FragmentExtension):
def __init__(self, startAtomInd, bondOrder, endAtomInd, embedings):
FragmentExtension.__init__(self, startAtomInd, embedings)
self.bondOrder=bondOrder
self.endAtomInd=endAtomInd
def IsEquivalent(self, extension):
return self.startAtomInd==extension.startAtomInd and self.bondOrder==extension.bondOrder and self.endAtomInd==extension.endAtomInd
def MergeFrom(self, extension):
self.embedings.extend(extension.embedings)
def Extend(self, fragment):
if debug: print "Extending by bond"
sAtom=fragment.atoms[self.startAtomInd]
eAtom=fragment.atoms[self.endAtomInd]
Bond(fragment, sAtom, eAtom, self.bondOrder)
sAtom.lastExtendedBondOrder=self.bondOrder
sAtom.lastExtendedAtomicNum=eAtom.GetAtomicNum()
fragment.lastExtendedAtomIndex=sAtom.extendedIndex
fragment.embedings=[Embeding(e, fragment=fragment) for e in self.embedings]
class FragmentExtensionByBondRing(FragmentExtension):
def __init__(self, startAtomInd, bondOrder, endAtoms, rings, embedings):
FragmentExtension.__init__(self, startAtomInd, embedings)
self.bondOrder=bondOrder
self.endAtoms=endAtoms
self.rings=rings
def GetRingMapping(self, endAtom1, ring1, embeding1, endAtom2, ring2, embeding2):
rDict1=embeding1.GetReverseDict()
rDict2=embeding2.GetReverseDict()
ringMappings=[]
i=list(ring1._path).index(endAtom1.GetIdx())
c0=list(ring1._path)[i:]+list(ring1._path)[:i]
i=list(ring2._path).index(endAtom2.GetIdx())
c1=list(ring2._path)[i:]+list(ring2._path)[:i]
l=list(c1[1:]) #l=list(c1[:-1])
l.reverse()
c2=[c1[0]]+l #c2=[c1[-1]]+l
for c in [c1,c2]:
mapping=[]
for (ra11, ra12), (ra21, ra22) in zip(GetRingPairs(map(lambda i:ring1.GetParent().GetAtom(i), c0)),GetRingPairs(map(lambda i:ring2.GetParent().GetAtom(i), c))):
if cmpAtoms(ra12, ra22) and cmpAtomBonds(ring1.GetParent().GetBond(ra11, ra12), ring2.GetParent().GetBond(ra21, ra22)):
mapping.append((ra12.GetIdx(), ra22.GetIdx()))
else:
break
else:
ringMappings.append(dict(mapping))
return ringMappings
def IsEquivalent(self, extension):
if self.startAtomInd==extension.startAtomInd and self.bondOrder==extension.bondOrder and len(self.rings[0]._path)==len(extension.rings[0]._path) \
and self.rings[0].fingerprint==extension.rings[0].fingerprint:
return bool(self.GetRingMapping(self.endAtoms[0], self.rings[0], self.embedings[0], extension.endAtoms[0], extension.rings[0], extension.embedings[0]))
return False
def MergeFrom(self, extension):
self.endAtoms.extend(extension.endAtoms)
self.embedings.extend(extension.embedings)
self.rings.extend(extension.rings)
def Extend(self, fragment):
if debug: print "Extending by ring and bond"
sAtom=fragment.atoms[self.startAtomInd]
endAtom1=self.endAtoms[0]
ring1=self.rings[0] #One ring to rule them all
embeding1=Embeding(self.embedings[0], fragment=fragment)
#Add all the atoms and bonds in the ring
newRing=Ring(fragment, ring1, embeding1) #Changes embeding
Bond(fragment, fragment.atoms[self.startAtomInd], fragment.atoms[embeding1.GetReverseDict()[endAtom1.GetIdx()]], self.bondOrder)
sAtom.lastExtendedAtomicNum=endAtom1.GetAtomicNum()
sAtom.lastExtendedBondOrder=self.bondOrder
fragment.lastExtendedAtomIndex=sAtom.extendedIndex
#Update embedings
#embeding1=self.embedings[0]
fragment.embedings=[]
for endAtom, ring, embeding in zip(self.endAtoms, self.rings, self.embedings):
#embeding[sAtom.atomIndex]=endAtom.GetIdx()
mappings=self.GetRingMapping(endAtom1, ring1, embeding1, endAtom, ring, embeding)
for map in mappings:
embeding=Embeding(embeding, fragment=fragment)
for atom in newRing.ringAtoms:
embeding[atom.atomIndex]=map[embeding1[atom.atomIndex]]
embeding[newRing]=ring
fragment.embedings.append(embeding)
class FragmentExtensionByRing(FragmentExtension):
def __init__(self, rings, embedings):
FragmentExtension.__init__(self, 0, embedings)
self.rings=rings
def GetRingMapping(self, ring1, embeding1, ring2, embeding2):
rDict1=embeding1.GetReverseDict()
rDict2=embeding2.GetReverseDict()
ringMappings=[]
for i in range(ring2.Size()):
c1=list(ring2._path)[i:]+list(ring2._path)[:i]
l=list(c1[1:])
l.reverse()
c2=[c1[0]]+l
for c in [c1,c2]:
mapping=[]
for (ra11, ra12), (ra21, ra22) in zip(GetRingPairs(map(lambda i:ring1.GetParent().GetAtom(i), ring1._path)),GetRingPairs(map(lambda i:ring2.GetParent().GetAtom(i), c))):
if cmpAtoms(ra12, ra22) and cmpAtomBonds(ring1.GetParent().GetBond(ra11, ra12), ring2.GetParent().GetBond(ra21, ra22)) and rDict1.get(ra12.GetIdx(), None)==rDict2.get(ra22.GetIdx(), None):
mapping.append((ra12.GetIdx(), ra22.GetIdx()))
else:
break
else:
ringMappings.append(dict(mapping))
return ringMappings
def IsEquivalent(self, extension):
if len(self.rings[0]._path)==len(extension.rings[0]._path) and self.rings[0].fingerprint==extension.rings[0].fingerprint:
return bool(self.GetRingMapping(self.rings[0], self.embedings[0], extension.rings[0], extension.embedings[0]))
return False
def MergeFrom(self, extension):
self.rings.extend(extension.rings)
self.embedings.extend(extension.embedings)
def Extend(self, fragment):
if debug: print "Extending by ring"
ring1=self.rings[0]
tmpEmbeding=Embeding(self.embedings[0],fragment=fragment)
newRing=Ring(fragment, ring1, tmpEmbeding) #Changes embeding
embeding1=self.embedings[0]
## fragment.lastExtendedAtomIndex=sAtom.extendedIndex
fragment.embedings=[]
for ring, embeding in zip(self.rings, self.embedings):
mappings=self.GetRingMapping(ring1, embeding1, ring, embeding)
for map in mappings:
embeding=Embeding(embeding, fragment=fragment)
for atom in newRing.ringAtoms:
embeding[atom.atomIndex]=map[tmpEmbeding[atom.atomIndex]]
embeding[newRing]=ring
fragment.embedings.append(embeding)
class Fragment(Molecule):
"""A class representing a molecular fragment
Methods:
ToOBMol() : Returns an openbabel.OBMol object representation
ToSmiles() : Returns a SMILES code representation
ToCanonicalSmiles() : Returns a canonical SMILES code representation
Support() : Returns the support of the fragment in the active set
OcurrencesIn(smiles): Returns the number of times a fragment is containd
in the molecule represented by the smiles code argument
ContainedIn(smiles) : Returns True if the fragment is present in the molecule
represented by the smiles code argument
"""
def __init__(self, miner=None, excludeAtomList=[]):
Molecule.__init__(self)
self.embedings=[]
self.miner=miner
self.excludeAtomList=excludeAtomList
self.lastExtendedAtomicNum=0
self.lastExtendedAtomIndex=0
self.writer=OBConversion()
self.writer.SetInAndOutFormats("smi","smi")
def __deepcopy__(self, memo):
f=Fragment()
memo[id(self)]=f
Molecule.__in_place_deepcopy__(f, self, memo)
f.embedings=[Embeding(e,fragment=f) for e in self.embedings]
f.miner=self.miner
f.excludeAtomList=self.excludeAtomList
f.lastExtendedAtomIndex=self.lastExtendedAtomIndex
return f
def InitializeFragment(self, atomicNum):
mol=OBMol()
atom=Atom(self, atomicNum)
for mol in self.miner.GetAllMolecules():
for a in OBMolAtomIter(mol):
if atom.Match(a):
self.embedings.append(Embeding({atom.atomIndex : a.GetIdx()}, molecule=mol, fragment=self))
def IsAtomExcluded(self, atom):
return atom.GetAtomicNum() in self.excludeAtomList
def GetCandidateAtoms(self):
return filter(lambda a:a.extendedIndex>=self.lastExtendedAtomIndex, self.atoms)
def GetCandidateRings(self):
return filter(lambda r:r.extendedIndex>=self.lastExtendedAtomIndex, self.rings)
def FilterRings(self, candidateRings, embeding):
for ring1 in candidateRings:
for ring2 in filter(lambda r:type(r)==type(ring1), embeding.values()):
if ring1.this==ring2.this:
break
else:
yield ring1
def GetCandidatesFromAtom(self, atomInd, embeding):
candidates=[]
reverseEmbedingDict=embeding.GetReverseDict()
atom=embeding.GetEmbededAtom(atomInd)
if atom.GetParent().NumHvyAtoms()==1:
return candidates
for bond in OBAtomBondIter(atom): #crashes if the atom is alone in a molecule
nbrAtom=bond.GetNbrAtom(atom)
if self.IsAtomExcluded(nbrAtom):
continue
if bond.GetBondOrder()>self.atoms[atomInd].lastExtendedBondOrder or (bond.GetBondOrder()==self.atoms[atomInd].lastExtendedBondOrder and nbrAtom.GetAtomicNum()>=self.atoms[atomInd].lastExtendedAtomicNum):
if self.miner.addWholeRings: #Whole rings are added at the same time (no new bond can connect to an atom already in the embeding)
if nbrAtom.IsInRing():
if not bond.IsInRing(): #ring to ring extensions are handled in GetRingCandidatesFromRing
for ring in self.FilterRings(self.miner.rings[embeding.molecule], embeding):
if ring.IsMember(nbrAtom):
candidates.append(FragmentExtensionByBondRing(atomInd, bond.GetBondOrder(), [nbrAtom], [ring], [embeding]))
## elif len(self.atoms)==1: #
## for ring in self.FilterRings(self.miner.rings[embeding.molecule], embeding):
## if ring.IsMember(nbrAtom) and ring.IsMember(atom) and ring not in addedRings:
## candidates.append(FragmentExtensionByRing([ring], [embeding]))
## addedRings.append(ring)
elif nbrAtom.GetIdx() not in reverseEmbedingDict:
candidates.append(FragmentExtensionByBondAtom(atomInd, bond.GetBondOrder(), [nbrAtom], [embeding]))
else:
if nbrAtom.GetIdx() in reverseEmbedingDict:
if not self.GetBond(self.GetAtom(atomInd), self.GetAtom(reverseEmbedingDict[nbrAtom.GetIdx()])) :
candidates.append(FragmentExtensionByBond(atomInd, bond.GetBondOrder(), reverseEmbedingDict[nbrAtom.GetIdx()], [embeding]))
else:
candidates.append(FragmentExtensionByBondAtom(atomInd, bond.GetBondOrder(), [nbrAtom], [embeding]))
#candidates.sort(lambda a,b:cmp(a[0],b[0]) or cmp(a[1].GetAtomicNum(),b[1].GetAtomicNum()))
return candidates
def GetRingCandidatesFromRing(self, ring, embeding):
candidates=[]
reverseEmbedingDict=embeding.GetReverseDict()
for candidateRing in self.FilterRings(self.miner.rings[embeding.molecule], embeding):
for atom in ring.ringAtoms:
if candidateRing.IsMember(embeding.GetEmbededAtom(atom.atomIndex)):
candidates.append(FragmentExtensionByRing([candidateRing], [embeding]))
break
return candidates
def GetCandidatesFromEmbeding(self, embeding):
candidates=[]
if len(self.atoms)==1 and self.miner.addWholeRings:
atom=embeding.GetEmbededAtom(self.atoms[0].GetIdx())
if atom.IsInRing():
for ring in embeding.molecule.rings:
if ring.IsMember(atom):
candidates.append(FragmentExtensionByRing([ring],[embeding]))
return candidates
if debug: print "Parsing candidate bonds"
for atom in self.GetCandidateAtoms():
candidates.extend(self.GetCandidatesFromAtom(atom.atomIndex, embeding))
if debug: print "Parsing candidate rings"
for ring in self.GetCandidateRings():
candidates.extend(self.GetRingCandidatesFromRing(ring, embeding))
return candidates
def Extend(self):
if debug :print "Extending"
candidates=[]
for embeding in self.embedings:
c=self.GetCandidatesFromEmbeding(embeding)
candidates.extend(c)
#embedingDict[embeding]=c
#group equivalent candidates
if debug: print "Grouping candidates"
groups=[]
for extension in candidates:
for ext in groups:
if ext.__class__==extension.__class__ and ext.IsEquivalent(extension):
ext.MergeFrom(extension)
break
else:
groups.append(extension)
#generate new fragments
if debug: print "Generating new fragments"
newFragments=[]
for extension in groups:
#set_trace()
f=deepcopy(self)
extension.Extend(f)
newFragments.append(f)
return newFragments
def ToOBMol(self):
atomCache={}
mol=OBMol()
mol.BeginModify()
for sourceAtom in self.atoms:
atom=mol.NewAtom()
atom.SetAtomicNum(sourceAtom.GetAtomicNum())
if sourceAtom.IsAromatic():
atom.SetAromatic()
## atom.SetSpinMultiplicity(2)
atomCache[sourceAtom]=atom
for sourceBond in self.bonds:
mol.AddBond(atomCache[sourceBond.atom1].GetIdx(), atomCache[sourceBond.atom2].GetIdx(), sourceBond.GetBondOrder())
## mol.SetAromaticPerceived()
mol.AssignSpinMultiplicity()
## mol.UnsetAromaticPerceived()
mol.EndModify()
return mol
def ToSmiles(self):
writer=OBConversion()
writer.SetInAndOutFormats("smi", "smi")
return writer.WriteString(self.ToOBMol()).strip()
def ToCannonicalSmiles(self):
atomCache={}
mol=OBMol()
for sourceAtom in self.atoms:
atom=mol.NewAtom()
atom.SetAtomicNum(sourceAtom.GetAtomicNum())
if sourceAtom.IsAromatic():
atom.SetAromatic()
atom.SetSpinMultiplicity(2)
atomCache[sourceAtom]=atom
for sourceBond in self.bonds:
mol.AddBond(atomCache[sourceBond.atom1].GetIdx(), atomCache[sourceBond.atom2].GetIdx(), sourceBond.GetBondOrder())
writer=OBConversion()
writer.SetInAndOutFormats("smi", "can")
return writer.WriteString(mol).strip()
def Support(self, activeSet=None):
activeSet=self.miner.activeSet if activeSet==None else activeSet
uniqueMolecules=set()
for embeding in self.embedings:
if embeding.molecule in activeSet:
uniqueMolecules.add(embeding.molecule)
## s=set(filter(lambda mol:self.ContainedIn(mol), self.miner.GetAllMolecules()))
## if len(s) != len(uniqueMolecules):
## writer=OBConversion()
## writer.SetInAndOutFormats("smi", "smi")
## print "\n",self.ToSmiles()
## for m in uniqueMolecules: print writer.WriteString(m).strip()
## for m in s: print writer.WriteString(m).strip()
return float(len(uniqueMolecules))/float(len(activeSet) or 1)
def OcurrencesIn(self, molecule):
pattern=OBSmartsPattern()
pattern.Init(self.ToSmiles())
return pattern.Match(molecule)
def ContainedIn(self, molecule):
return bool(self.OcurrencesIn(molecule))
class FragmentMiner(object):
"""A class for finding frequent molecular fragments
Attributes:
active : list of smiles codes of active molecules
inactive : list of smiles codes of inactive molecules
minSupport : minimum frequency in the active set of the fragments to search for
maxSupport : maximum frequency in the inactive set of the fragments to search for
addWholeRings : if True rings will be added as a whole rather then atom by atom
canonicalPruning : if True a cache of all cannonical codes of all fragments will be kept to avoid
redundant search
findClosed : finds only fragments that are not sub-structures of any other fragment with the same support (default: True)
Example:
>>> miner = FragmentMiner(active = ["CC(C=N)=O", "c1ccccc1C=O", "SCC(N)O"], inactive = [], minSupport = 0.6)
>>> for fragment in miner.Search():
... print fragment.ToSmiles() , "Support: %.3f" %fragment.Support()
"""
def __init__(self, active, inactive=[], minSupport=0.2, maxSupport=0.2, addWholeRings=True, canonicalPruning=True, findClosed=True):
self.active=filter(lambda m:m, map(self.LoadMolecules, active))
self.inactive=filter(lambda m:m, map(self.LoadMolecules, inactive))
self.minSupport=minSupport
self.maxSupport=maxSupport
self.rings={}
self.atomCount={}
self.findClosed=findClosed
self.addWholeRings=addWholeRings
self.canonicalPruning=canonicalPruning
self.canonicalPruningSet={}
self.loader=OBConversion()
self.loader.SetInAndOutFormats("smi","smi")
def LoadMolecules(self, smiles):
mol=LoadMolFromSmiles(smiles)
## if mol:
## mol.StripSalts()
return mol
def GetAllMolecules(self):
return self.active+self.inactive
def Initialize(self):
"""Initializes the search"""
self.initialFragments=[]
self.rings={}
self.atomCount={}
self.canonicalPruningSet={}
candidates=[]
ringCandidates=[]
for mol in self.GetAllMolecules():
mol.rings=self.rings[mol]=list(mol.GetSSSR())
for ring in mol.rings:
ring.fingerprint=set([mol.GetAtom(i).GetAtomicNum() for i in ring._path])
## for ring in mol.rings:
## candidates.append(FragmentExtensionByRing([ring],[Embeding(molecule=mol)]))
for mol in self.GetAllMolecules():
for atom in OBMolAtomIter(mol):
self.atomCount[atom.GetAtomicNum()]= self.atomCount[atom.GetAtomicNum()]+1 if atom.GetAtomicNum() in self.atomCount else 1
if not (atom.GetAtomicNum()==6 and atom.IsInRing()):
candidates.append(FragmentExtensionByAtom(atom.GetAtomicNum(), atom.IsAromatic(), [atom.GetIdx()], [Embeding(molecule=mol)]))
groups=[]
candidates.sort(lambda a,b: cmp(self.atomCount[a.atomicNum], self.atomCount[b.atomicNum]))
for extension in candidates:
for ext in groups:
if type(ext)==type(extension) and ext.IsEquivalent(extension):
ext.MergeFrom(extension)
break
else:
groups.append(extension)
lst=self.atomCount.items()
lst.sort(lambda a,b:cmp(a[1], b[1]))
self.initialFragments=[]
lst=[t[0] for t in lst]
for extension in groups:
if type(extension)==FragmentExtensionByAtom:
f=Fragment(miner=self, excludeAtomList=lst[:lst.index(extension.atomicNum)])
else:
f=Fragment(miner=self)
extension.Extend(f)
self.initialFragments.append(f)
## self.initialFragments.reverse()
## excludeList=[]
## for atom, c in lst:
## f=Fragment(miner=self, excludeAtomList=excludeList)
## f.InitializeFragment(atom)
## self.initialFragments.append(f)
## excludeList.append(atom)
self.activeSet=set(self.active)
self.inactiveSet=set(self.inactive)
def TraverseTree(self, fragment):
if self.canonicalPruning:
codeWord=fragment.ToCannonicalSmiles()
if codeWord in self.canonicalPruningSet:
return self.canonicalPruningSet[codeWord]
else:
self.canonicalPruningSet[codeWord]=fragment.Support(self.activeSet)
extended=fragment.Extend()
extended=filter(lambda f:f.Support(self.activeSet)>=self.minSupport, extended)
superStructSupport=[]
for frag in extended:
#print self.loader.WriteString(frag.ToOBMol())
superStructSupport.append(self.TraverseTree(frag))
support=fragment.Support(self.activeSet)
if support>=self.minSupport and fragment.Support(self.inactiveSet)<=self.maxSupport:
if not self.findClosed or (support not in superStructSupport):
print fragment.ToSmiles().strip()+" %.2f %.2f" % (support, fragment.Support(self.inactiveSet))
self.foundFragments.append(fragment)
return support
def Search(self):
"""Runs the search and returns the found fragments"""
self.Initialize()
## set_trace()
self.foundFragments=[]
for fragment in self.initialFragments:
self.TraverseTree(fragment)
#self.foundFragments=filter(lambda f:f.Support(self.inactive)<=self.maxSupport, self.foundFragments)
return self.foundFragments
def TraverseTreeIterator(self, fragment):
if self.canonicalPruning:
codeWord=fragment.ToCannonicalSmiles()
if codeWord in self.canonicalPruningSet:
raise StopIteration
else:
self.canonicalPruningSet[codeWord]=fragment.Support(self.activeSet)
extended=fragment.Extend()
extended=filter(lambda f:f.Support(self.activeSet)>=self.minSupport, extended)
superStructSupport=[]
for frag in extended:
#print self.loader.WriteString(frag.ToOBMol())
iter=self.TraverseTreeIterator(frag)
try:
while True:
f=iter.next()
superStructSupport.append(f.Support(self.active))
yield f
except StopIteration:
pass
superStructSupport.append(self.TraverseTree(frag))
support=fragment.Support(self.activeSet)
if support>=self.minSupport and fragment.Support(self.inactiveSet)<=self.maxSupport:
if not self.findClosed or (support not in superStructSupport):
#print fragment.ToSmiles().strip()+" %.2f %.2f" % (support, fragment.Support(self.inactiveSet))
#self.foundFragments.append(fragment)
yield fragment
#return support
def SearchIterator(self):
"""Runs the search and returns the found fragments one by one"""
self.Initialize()
## set_trace()
self.foundFragments=[]
for fragment in self.initialFragments:
iter=self.TraverseTreeIterator(fragment)
try:
while True:
yield iter.next()
except StopIteration:
pass
#self.foundFragments=filter(lambda f:f.Support(self.inactive)<=self.maxSupport, self.foundFragments)
#return self.foundFragments
def LoadMolFromSmiles(smiles):
"""Returns an OBMol construcetd from an SMILES code"""
smiles = sorted(smiles.split("."), key=len)[-1] ## Strip salts
mol=OBMol()
loader=OBConversion()
loader.SetInAndOutFormats("smi","smi")
if not loader.ReadString(mol, smiles):
return None
mol.smilesCode=smiles
return mol
class Fragmenter(object):
"""An object that is used to fragment an ExampleTable
Attributes:
minSupport : minimum frequency in the active set of the fragments to search for (default: 0.2)
maxSupport : maximum frequency in the inactive set of the fragments to search for (default: 0.2)
findClosed : finds only fragments that are not sub-structures of any other fragment with the same support (default: True)
Example:
>>> fragmenter=Fragmenter(minSupport=0.1, maxSupport=0.05)
>>> data, fragments=fragmenter(data, "SMILES", lambda ex:ex.getclass())
"""
def __init__(self, minSupport=0.2, maxSupport=0.2, canonicalPruning=True, findClosed=True):
self.minSupport=minSupport
self.maxSupport=maxSupport
self.canonicalPruning=canonicalPruning
self.findClosed=findClosed
def __call__(self, data, smilesAttr=None, activeFunc=lambda e:True, useCannonicalFragments=True):
"""Takes a data-set, and runs the FragmentMiner on it. Returns a new data-set and the fragments.
The new data-set contains new attributes that represent the presence of a fragment that was found.
Arguments:
data : the dataset
smilesAttr : the attribute in the data that contains the SMILES codes
activeFunc : a function that takes an example from the data-set and returns True if the example should be
considered as active (if none is provided all examples are considered active)
useCannonicalFragments : if True use cannonical smiles for fragment attribute names else use regular smiles (defaut: True)
"""
if not smilesAttr:
smilesAttr=self.FindSmilesAttr(data)
active=filter(lambda s:s, [str(e[smilesAttr]) for e in data if activeFunc(e)])
inactive=filter(lambda s:s, [str(e[smilesAttr]) for e in data if not activeFunc(e)])
miner=FragmentMiner(active, inactive, self.minSupport, self.maxSupport, canonicalPruning=self.canonicalPruning, findClosed=self.findClosed)
self.fragments=fragments=miner.Search()
fragVars=[orange.EnumVariable(frag.ToCannonicalSmiles() if useCannonicalFragments else frag.ToSmiles(), values=["0", "1"]) for frag in fragments]
smilesInFragments=dict([(fragment, set([embeding.molecule.smilesCode for embeding in fragment.embedings]) ) for fragment in fragments])
from functools import partial
def getVal(var, fragment, smilesAttr, example, returnWhat):
mol=LoadMolFromSmiles(str(example[smilesAttr]))
## print "GetVal"
return (fragment.ContainedIn(mol) and var(1) or var(0)) if mol else var(None)
for var, frag in zip(fragVars, fragments):
var.getValueFrom=partial(getVal,var, frag, smilesAttr)
vars=data.domain.attributes+fragVars+(data.domain.classVar and [data.domain.classVar] or [])
domain=orange.Domain(vars, data.domain.classVar and 1 or 0)
domain.addmetas(data.domain.getmetas())
table=orange.ExampleTable(domain)
for e in data:
vals=[e[attr] for attr in data.domain.attributes]+[1 if str(e[smilesAttr]) in smilesInFragments[fragment] else (None if e[smilesAttr].isSpecial() else 0) for fragment in fragments]
vals=vals + [e.getclass()] if data.domain.classVar else vals
ex=orange.Example(domain, vals)
for key, val in e.getmetas().items():
ex[key]=val
table.append(ex)
return table, fragments
def FindSmilesAttr(self, data):
data=data.select(orange.MakeRandomIndices2(data, min(20, len(data))))
stringVars=filter(lambda var:type(var)==orange.StringVariable, data.domain.attributes+data.domain.getmetas().values())
count=dict.fromkeys(stringVars, 0)
for example in data:
for var in stringVars:
if LoadMolFromSmiles(str(example[var])):
count[var]+=1
count=count.items()
count.sort(lambda a,b:cmp(a[1], b[1]))
return count[-1][0]
from Orange.orng import orngSVM
class FragmentBasedLearner(orange.Learner):
"""A learner wrapper class that first runs the molecular fragmentation on the data.
Attributes:
smilesAttr : Attribute in the data that contains the smiles codes (if none is provided it will try to make a smart guess)
learner : learner that will be used to actualy learn on the fragmented data (default: orngSVM.SVMLearner)
minSupport : minimum frequency in the active set of the fragments to search for
maxSupport : maximum frequency in the inactive set of the fragments to search for
activeFunc : a function that takes an example from the learning data-set and returns True if the example should be
considered as active (if none is provided all examples are considered active)
findClosed : finds only fragments that are not sub-structures of any other fragment with the same support (default: True)
"""
def __new__(cls, data=None, weights=0, **kwds):
learner=orange.Learner.__new__(cls, **kwds)
if data:
learner.__init__(**kwds)
return learner(data)
else:
return learner
def __init__(self, learner=orngSVM.SVMLearner(probability=True), name="FragmentBasedLearner",
minSupport=0.2, maxSupport=0.2, smilesAttr=None, findClosed=True, activeFunc=lambda e:True):
self.name=name
self.learner=learner
self.minSupport=minSupport
self.smilesAttr=smilesAttr
self.activeFunc=activeFunc
self.maxSupport=maxSupport
self.findClosed=findClosed
def __call__(self, data, weight=0):
fragmenter=Fragmenter(minSupport=self.minSupport, maxSupport=self.maxSupport, findClosed=self.findClosed)
data, fragments=fragmenter(data, self.smilesAttr, self.activeFunc)
return FragmentBasedClassifier(self.learner(data), data.domain)
class FragmentBasedClassifier(object):
def __init__(self, classifier, domain):
self.classifier=classifier
self.domain=domain
def __call__(self, example, getBoth=orange.GetValue):
example=orange.Example(self.domain, example)
return self.classifier(example, getBoth)
def Count(smiles, fragment):
mols=filter(lambda m:m, map(LoadMolFromSmiles, smiles))
## for mol in mols: mol.StripSalts()
pattern=OBSmartsPattern()
pattern.Init(fragment)
return len(filter(lambda m:pattern.Match(m, True), mols))
def ContaindIn(smiles, fragment):
mol=LoadMolFromSmiles(smiles)
pattern=OBSmartsPattern()
pattern.Init(fragment)
return bool(pattern.Match(mol))
"""
Viasualizations
===============
"""
try:
from oasa.svg_out import svg_out as _svg_out
from oasa.pybel_bridge import PybelConverter
from oasa.coords_generator import coords_generator
from oasa import dom_extensions
except ImportError:
try:
from bkchem.oasa.oasa.svg_out import svg_out as _svg_out
from bkchem.oasa.oasa.pybel_bridge import PybelConverter
from bkchem.oasa.oasa.coords_generator import coords_generator
from bkchem.oasa.oasa import dom_extensions
except ImportError:
class _svg_out(object):
def __init__(self, *args, **kwargs):
raise ImportError("OASA library not found")
try:
from oasa.cairo_out import cairo_out as _cairo_out
except ImportError:
try:
from bkchem.oasa.oasa.cairo_out import cairo_out as _cairo_out
except ImportError:
class _cairo_out(object):
def __init__(self, *args, **kwargs):
raise ImportError("OASA library not found")
class cairo_out(_cairo_out):
atom_colors = {"A":(0, 0, 0), "R":(255, 0, 0)}
def __init__(self, **kwargs):
_cairo_out.__init__(self, **kwargs)
self.atom_colors.update({"A":(0, 0, 0), "R":(255, 0, 0)})
def _draw_edge(self, e):
v1, v2 = e.vertices
s1, s2 = v1.symbol, v2.symbol
matched = v1 in self.ob_matched and v2 in self.ob_matched
## 'A' and 'R' are used because they are in oasa periodic table and indicate any atom or any atom except hydrogen
v1.symbol = "R" if matched else "A"
v2.symbol = "R" if matched else "A"
if matched:
## Set the default color argument for _draw_line to red
self._draw_line.im_func.func_defaults = self._draw_line.im_func.func_defaults[:2]+ ((255, 0, 0),)
_cairo_out._draw_edge(self, e)
if matched:
## Restore the default color
self._draw_line.im_func.func_defaults = self._draw_line.im_func.func_defaults[:2]+ ((0, 0, 0),)
v1.symbol, v2.symbol = s1, s2
def _draw_vertex(self, v):
if v in self.ob_matched:
color = self.atom_colors.get(v.symbol, None)
self.atom_colors[v.symbol] = (255, 0, 0)
_cairo_out._draw_vertex(self, v)
## Restore the atom colors
if color:
self.atom_colors[v.symbol] = color
else:
del self.atom_colors[v.symbol]
else:
_cairo_out._draw_vertex(self, v)
def mol_to_cairo(self, molSmiles, fragSmiles=None, file="mol.png"):
import pybel
molSmiles = max(molSmiles.split("."), key = lambda s:len(s))
mol = pybel.readstring("smi", molSmiles)
if fragSmiles:
pattern=pybel.Smarts(fragSmiles)
matches = pattern.findall(mol)
self.ob_matched = reduce(set.union, matches if matches != False else [], set())
else:
self.ob_matched = set()
# from oasa.pybel_bridge import PybelConverter
o_mol, idx2oa = PybelConverter.pybel_to_oasa_molecule_with_atom_map(mol)
# from oasa.coords_generator import coords_generator
gen = coords_generator(30)
gen.calculate_coords(o_mol, bond_length=30, force=True)
## self.oasa2obidx = dict([(value, key) for key, value in ix2oa.items()])
self.ob_matched = [idx2oa[i] for i in self.ob_matched]
self.color_bonds = True
return _cairo_out.mol_to_cairo(self, o_mol, file)
import xml.dom.minidom as dom
class svg_out(_svg_out):
def __init__(self, **kwargs):
_svg_out.__init__(self, **kwargs)
self._curr_color = "rgb(0%, 0%, 0%)"
def _draw_edge(self, e):
v1, v2 = e.vertices
matched = v1 in self.ob_matched and v2 in self.ob_matched
if matched:
self._curr_color = "rgb(255, 0, 0)"
else:
self._curr_color = "rgb(0, 0, 0)"
_svg_out._draw_edge(self, e)
def _draw_vertex(self, v):
if v in self.ob_matched:
self._curr_color = "rgb(255, 0, 0)"
else:
self._curr_color = "rgb(0, 0, 0)"
_svg_out._draw_vertex(self, v)
def _draw_line( self, parent, start, end, line_width=1, capstyle=""):
x1, y1 = start
x2, y2 = end
# from oasa import dom_extensions
line = dom_extensions.elementUnder( parent, 'line',
(( 'x1', str( x1)),
( 'y1', str( y1)),
( 'x2', str( x2)),
( 'y2', str( y2)),
( 'stroke', self._curr_color)))
def _draw_text( self, parent, xy, text, font_name="Arial", font_size=16):
x, y = xy
# from oasa import dom_extensions
dom_extensions.textOnlyElementUnder( parent, "text", text,
(( "x", str( x)),
( "y", str( y)),
( "font-family", font_name),
( "font-size", str( font_size)),
( 'stroke', self._curr_color)))
def mol_to_svg(self, molSmiles, fragSmiles=None):
import pybel
molSmiles = max(molSmiles.split("."), key = lambda s:len(s))
mol = pybel.readstring("smi", molSmiles)
if fragSmiles:
pattern=pybel.Smarts(fragSmiles)
matches = pattern.findall(mol)
self.ob_matched = reduce(set.union, matches if matches != False else [], set())
else:
self.ob_matched = set()
# from oasa.pybel_bridge import PybelConverter
o_mol, idx2oa = PybelConverter.pybel_to_oasa_molecule_with_atom_map(mol)
# from oasa.coords_generator import coords_generator
gen = coords_generator(30)
gen.calculate_coords(o_mol, bond_length=30, force=True)
## self.oasa2obidx = dict([(value, key) for key, value in ix2oa.items()])
self.ob_matched = [idx2oa[i] for i in self.ob_matched]
return _svg_out.mol_to_svg(self, o_mol)
def mol_to_png(molSmiles, fragSmiles=None, file="mol.png", size=None):
d = cairo_out()
d.mol_to_cairo(molSmiles, fragSmiles)
if size != None:
import Image
image = Image.open(file)
width, height = image.size
resize_factor = float(size) / max(width, height)
width, height = int(width * resize_factor), int(height * resize_factor)
image = image.resize((width, height), Image.ANTIALIAS)
newimage = Image.new("RGB", size=(size, size), color=(255, 255, 255))
newimage.paste(image, (size - width, size - height))
newimage.save(file)
def mol_to_svg(molSmiles, fragSmiles=None, file="mol.svg"):
c = svg_out()
tree = c.mol_to_svg(molSmiles, fragSmiles)
if type(file) == str:
file = open(file, "w")
file.write( tree.toprettyxml())
def _test_draw():
## mol_to_png("CC1CC2C(CC(=O)O2)OC3CC4C(CC(C5C(O4)CC=CCC6C(O5)CC=CC7C(O6)CCCC8C(O7)(CC9C(O8)CC2C(O9)C(CC(O2)CC(=C)C=O)O)C)C)OC3(C1)C", "Scc", "mol1.png")
## mol_to_png("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "Scc", "mol1.png")
## mol_to_png("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "NCC", "mol2.png")
## mol_to_png("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "Ncc", "mol3.png")
## mol_to_png("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "NCCC", "mol3.png")
mol_to_svg("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "Scc", "mol1.svg")
mol_to_svg("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "Ncc", "mol2.svg")
mol_to_svg("CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "NCC", "mol3.svg")
def _test():
import orange
d=orange.ExampleTable("E:\chem\mutagen_raw.tab")
active=[str(e["SMILES"]) for e in d if str(e[-1])=="1"]
inactive=[str(e["SMILES"]) for e in d if str(e[-1])=="0"]
## d=orange.ExampleTable("E:\PCLedit_s.tab")
## active=[str(e["SMILES"]) for e in d if not e["SMILES"].isSpecial()][:100]
## print active
## inactive=[]
## active=["NC(C)C(=O)O", "NC(CS)C(=O)O", "NC(CO)C(=O)O"]
## active=["CCS(O)(O)N", "CCS(O)(C)N", "CS(O)(C)N", "CCS(=N)N", "CS(=N)N", "CS(=N)O"]
## active=["NC(S)c1ccccc1","NCC1=CC=CC=C1", "NCC1C=CC=CC=1", "c1ccccc1C(N)C(=S(O)C)c2ccccc2"]
## active=["c1ccccc1C(N)C(=S(O)C)c2ccccc2"]
## active=["O=C1C=CC(=O)C=C1","O=C1CCCCCN1"]
## active=["C1SC2CCN2C1C(=O)"]
## active=["CCCCCCc1ccc(O)cc1O","Nc1ccc(O)c(N)c1", "Cc1cc(C)c(N)cc1C", "CN(C)C(=S)S[Zn]SC(=S)N(C)C", "NC(=O)N(CCO)N=O"]
## active=["CC(C)CCCC(C)C1CCC2C3CC=C4CC(CCC4(C)C3CCC12C)OC(=O)Cc5ccc(cc5)N(CCCl)CCCl","Cc1cc(C)c(N=Nc2c(O)c(cc3cc(ccc23)S(=O)(=O)O)S(=O)(=O)O)cc1CCNNCc1ccc(cc1)C(=O)NC(C)C","CC(C)(Oc1ccc(cc1)C2CCCc3ccccc23)C(=O)O","CCn1cc(C(=O)O)c(=O)c2ccc(C)nc12"]
active=["CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)Cl","CN1CCCCC1CCN2c3ccccc3Sc4c2cc(cc4)SC","c1ccc2c(c1)N(c3cc(ccc3S2)Cl)CCCN4CCN(CC4)CCO",
"CN1CCN(CC1)CCCN2c3ccccc3Sc4c2cc(cc4)S(=O)(=O)N(C)C", "CN1CCC(=C2c3ccccc3Sc4c2cccc4)CC1", "[U]-C-S-P"]
## active=["CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)Cl","CN1CCCCC1CCN2c3ccccc3Sc4c2cc(cc4)SC"]
## active=["CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)C(F)(F)F", "CN(C)CCCN1c2ccccc2Sc3c1cc(cc3)Cl"]
## set_trace()
miner=FragmentMiner(active, inactive[:0], minSupport=0.1, maxSupport=0.1, addWholeRings=True, canonicalPruning=True)
fragments=miner.Search()
## for f in fragments:
## print f.ToSmiles()
def _test1():
import orange
data=orange.ExampleTable("E:\chem\mutagen_raw.tab")
## data=orange.ExampleTable("E:\chem\smiles.tab")
fragmenter=Fragmenter(minSupport=0.02, maxSupport=0.1, canonicalPruning=True)
## set_trace()
data, fragments1=fragmenter(data, "SMILES") #, lambda e:str(e[-1])=="1")
## data, fragments2=fragmenter(data, "SMILES", lambda e:str(e[-1])=="0")
data.save("E:\chem\mutagen_raw_frag.tab")
if __name__=="__main__":
import time
sTime=time.clock()
_test_draw()
print time.clock()-sTime
|
gpl-3.0
|
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DOE-NEPA/geonode_2.0_to_2.4_migration
|
migrate_actstream_follow_modified.py
|
1
|
1661
|
#!/usr/bin/python
import os
import psycopg2
import sys
import django_content_type_mapping
file = open("/home/" + os.getlogin() + "/.pgpass", "r")
pgpasses = []
for line in file:
pgpasses.append(line.rstrip("\n").split(":"))
file.close()
for pgpass in pgpasses:
#print str(pgpass)
if pgpass[0] == "54.236.235.110" and pgpass[3] == "geonode":
src_pgpass = pgpass
if pgpass[0] == "54.197.226.56" and pgpass[3] == "geonode":
dst_pgpass = pgpass
src = psycopg2.connect(host=src_pgpass[0], database="geonode2", user=src_pgpass[3], password=src_pgpass[4])
dst = psycopg2.connect(host=dst_pgpass[0], database="geonode", user=dst_pgpass[3], password=dst_pgpass[4])
src_cur = src.cursor()
dst_cur = dst.cursor()
src_cur.execute("select id, user_id, content_type_id, object_id, actor_only, started from actstream_follow")
for src_row in src_cur:
assignments = []
#id
assignments.append(src_row[0])
#user_id
assignments.append(src_row[1])
#content_type_id
assignments.append(get_django_content_type_id(src_row[2]))
#object_id
assignments.append(src_row[3])
#actor_only
assignments.append(src_row[4])
#started
assignments.append(src_row[5])
try:
dst_cur.execute("insert into actstream_follow(id, user_id, content_type_id, object_id, actor_only, started) values (%s, %s, %s, %s, %s, %s)", assignments)
dst.commit()
except Exception as error:
print
print type(error)
print str(error) + "select id, user_id, content_type_id, object_id, actor_only, started from actstream_follow"
print str(src_row)
dst.rollback()
dst.commit()
src_cur.close()
dst_cur.close()
src.close()
dst.close()
|
gpl-2.0
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DBeath/flask-feedrsub
|
feedrsub/utils/security.py
|
1
|
4868
|
import functools
from flask import request, current_app as app, make_response
from flask_security import Security, current_user
from flask_security.decorators import _check_http_auth
from flask_security.forms import ForgotPasswordForm, RegisterForm, SendConfirmationForm
from flask_wtf import RecaptchaField
from werkzeug.exceptions import abort
class ExtendedRegisterForm(RegisterForm):
# name = StringField('Name', [Required()])
pass
class RecaptchaRegisterForm(ExtendedRegisterForm):
recaptcha = RecaptchaField()
class RecaptchaForgotPasswordForm(ForgotPasswordForm):
recaptcha = RecaptchaField()
class RecaptchaSendConfirmationForm(SendConfirmationForm):
recaptcha = RecaptchaField()
def configure_security(app, datastore):
register_form = ExtendedRegisterForm
confirm_register_form = ExtendedRegisterForm
forgot_password_form = ForgotPasswordForm
send_confirmation_form = SendConfirmationForm
if app.config.get("SECURITY_RECAPTCHA_ENABLED"):
register_form = RecaptchaRegisterForm
confirm_register_form = RecaptchaRegisterForm
forgot_password_form = RecaptchaForgotPasswordForm
send_confirmation_form = RecaptchaSendConfirmationForm
Security(
app=app,
datastore=datastore,
register_form=register_form,
confirm_register_form=confirm_register_form,
forgot_password_form=forgot_password_form,
send_confirmation_form=send_confirmation_form,
)
def abort_if_not_same_user_public_id(user_public_id: str, status_code: int = 403):
"""
Abort the request and return an HTTP error if the provided user_public_id
is not the same as the public Id of the currently authorized user.
This is not a decorator as we sometimes need to use it in the view.
:param user_public_id: url-safe public Id of the user that this resource belongs to
:param status_code: Optional status code of the error
"""
if not is_same_user_public_id(user_public_id):
abort(status_code)
def is_same_user_public_id(user_public_id: str) -> bool:
"""
Checks if provided authorization is for same User as user_public_id.
This is not a decorator as we sometimes need to use it in the view.
:param user_public_id: Id of the user that this resource belongs to
"""
if current_user.has_role("admin"):
return True
elif current_user.is_authenticated:
return current_user.urlsafe_public_id == user_public_id
elif request.authorization:
if _check_http_auth():
return current_user.urlsafe_public_id == user_public_id
return False
def abort_if_not_same_user(user_id: int, status_code: int = 403):
"""
Abort the request and return an HTTP error if the provided user_id
is not the same as the Id of the currently authorized user.
This is not a decorator as we sometimes need to use it in the view.
:param user_id: Id of the user that this resource belongs to
:param status_code: Optional status code of the error
"""
if not is_same_user(user_id):
abort(status_code)
def is_same_user(user_id: int) -> bool:
"""
Checks if provided authorization is for same User as user_id.
This is not a decorator as we sometimes need to use it in the view.
:param user_id: Id of the user that this resource belongs to
:type user_id: int
"""
if current_user.has_role("admin"):
return True
elif current_user.is_authenticated:
return int(current_user.get_id()) == user_id
elif request.authorization:
if _check_http_auth():
return int(current_user.get_id()) == user_id
return False
def require_cron_api_key(func):
"""
Requires that a request contains a valid CRON API KEY.
Only use for cron functions that are not security essential.
TODO: This should be swapped for a more secure solution.
"""
@functools.wraps(func)
def wrap(*args, **kwargs):
cron_key = app.config.get("CRON_API_KEY", "")
request_key = request.headers.get("X-Cron-Api-Key", "")
if cron_key_valid(cron_key, request_key):
return func(*args, **kwargs)
else:
return make_response("Not authenticated\n", 401)
return wrap
def cron_key_valid(cron_key: str, request_key: str) -> bool:
"""
Returns True if the request_key equals the required cron_key.
Will always return False if cron_key is empty string.
:param cron_key: Required CRON key
:param request_key: Provided key from Request
:return: Bool
"""
if not isinstance(cron_key, str):
raise TypeError("cron_key must be of type str")
if not isinstance(request_key, str):
raise TypeError("request_key must be of type str")
if cron_key and request_key == cron_key:
return True
return False
|
mit
|
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NJHale/chicken-scratch
|
python-coop-store/coop_routes.py
|
1
|
1571
|
# coop_routes.py
import os
from flask import Flask
from flask import jsonify
from flask import request
from flask_pymongo import PyMongo
app = Flask(__name__)
# Get mongodb configurations
app.config['MONGO_DBNAME'] = os.getenv('MONGO_DBNAME', 'coopdb')
app.config['MONGO_URI'] = ('mongodb://%s:%s/restdb',
os.getenv('PYTHON_COOP_STORE_DB_SERVICE_HOST',
'localhost'),
os.getenv('PYTHON_COOP_STORE_DB_SERVICE_PORT'))
mongo = PyMongo(app)
@app.route('/star', methods=['GET'])
def get_all_stars():
star = mongo.db.stars
output = []
for s in star.find():
output.append({'name' : s['name'], 'distance' : s['distance']})
return jsonify({'result' : output})
@app.route('/star/', methods=['GET'])
def get_one_star(name):
star = mongo.db.stars
s = star.find_one({'name' : name})
if s:
output = {'name' : s['name'], 'distance' : s['distance']}
else:
output = "No such name"
return jsonify({'result' : output})
@app.route('/star', methods=['POST'])
def add_star():
star = mongo.db.stars
name = request.json['name']
distance = request.json['distance']
star_id = star.insert({'name': name, 'distance': distance})
new_star = star.find_one({'_id': star_id })
output = {'name' : new_star['name'], 'distance' : new_star['distance']}
return jsonify({'result' : output})
if __name__ == '__main__':
app.run(host=os.getenv('PYTHON_COOP_STORE_SERVICE_HOST', '0.0.0.0'),
port=int(os.getenv('PYTHON_COOP_STORE_SERVICE_PORT_HTTP', 8080)))
|
mit
|
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noironetworks/heat
|
heat/engine/resources/signal_responder.py
|
1
|
15471
|
#
# 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.
from keystoneclient.contrib.ec2 import utils as ec2_utils
from oslo_config import cfg
from oslo_log import log as logging
from oslo_serialization import jsonutils
from six.moves.urllib import parse as urlparse
from heat.common import exception
from heat.common.i18n import _
from heat.common import password_gen
from heat.engine.clients.os import swift
from heat.engine.resources import stack_user
LOG = logging.getLogger(__name__)
SIGNAL_TYPES = (
WAITCONDITION, SIGNAL
) = (
'/waitcondition', '/signal'
)
SIGNAL_VERB = {WAITCONDITION: 'PUT',
SIGNAL: 'POST'}
class SignalResponder(stack_user.StackUser):
PROPERTIES = (
SIGNAL_TRANSPORT,
) = (
'signal_transport',
)
ATTRIBUTES = (
SIGNAL_ATTR,
) = (
'signal',
)
# Anything which subclasses this may trigger authenticated
# API operations as a consequence of handling a signal
requires_deferred_auth = True
def handle_delete(self):
self._delete_signals()
return super(SignalResponder, self).handle_delete()
def _delete_signals(self):
self._delete_ec2_signed_url()
self._delete_heat_signal_url()
self._delete_swift_signal_url()
self._delete_zaqar_signal_queue()
@property
def password(self):
return self.data().get('password')
@password.setter
def password(self, password):
if password is None:
self.data_delete('password')
else:
self.data_set('password', password, True)
def _signal_transport_cfn(self):
return self.properties[
self.SIGNAL_TRANSPORT] == self.CFN_SIGNAL
def _signal_transport_heat(self):
return self.properties[
self.SIGNAL_TRANSPORT] == self.HEAT_SIGNAL
def _signal_transport_none(self):
return self.properties[
self.SIGNAL_TRANSPORT] == self.NO_SIGNAL
def _signal_transport_temp_url(self):
return self.properties[
self.SIGNAL_TRANSPORT] == self.TEMP_URL_SIGNAL
def _signal_transport_zaqar(self):
return self.properties.get(
self.SIGNAL_TRANSPORT) == self.ZAQAR_SIGNAL
def _get_heat_signal_credentials(self):
"""Return OpenStack credentials that can be used to send a signal.
These credentials are for the user associated with this resource in
the heat stack user domain.
"""
if self._get_user_id() is None:
if self.password is None:
self.password = password_gen.generate_openstack_password()
self._create_user()
return {'auth_url': self.keystone().v3_endpoint,
'username': self.physical_resource_name(),
'user_id': self._get_user_id(),
'password': self.password,
'project_id': self.stack.stack_user_project_id,
'domain_id': self.keystone().stack_domain_id,
'region_name': (self.context.region_name or
cfg.CONF.region_name_for_services)}
def _get_ec2_signed_url(self, signal_type=SIGNAL):
"""Create properly formatted and pre-signed URL.
This uses the created user for the credentials.
See boto/auth.py::QuerySignatureV2AuthHandler
:param signal_type: either WAITCONDITION or SIGNAL.
"""
stored = self.data().get('ec2_signed_url')
if stored is not None:
return stored
access_key = self.data().get('access_key')
secret_key = self.data().get('secret_key')
if not access_key or not secret_key:
if self.id is None:
# it is too early
return
if self._get_user_id() is None:
self._create_user()
self._create_keypair()
access_key = self.data().get('access_key')
secret_key = self.data().get('secret_key')
if not access_key or not secret_key:
LOG.warning('Cannot generate signed url, '
'unable to create keypair')
return
config_url = cfg.CONF.heat_waitcondition_server_url
if config_url:
signal_url = config_url.replace('/waitcondition', signal_type)
else:
heat_client_plugin = self.stack.clients.client_plugin('heat')
endpoint = heat_client_plugin.get_heat_cfn_url()
signal_url = ''.join([endpoint, signal_type])
host_url = urlparse.urlparse(signal_url)
path = self.identifier().arn_url_path()
# Note the WSGI spec apparently means that the webob request we end up
# processing in the CFN API (ec2token.py) has an unquoted path, so we
# need to calculate the signature with the path component unquoted, but
# ensure the actual URL contains the quoted version...
unquoted_path = urlparse.unquote(host_url.path + path)
request = {'host': host_url.netloc.lower(),
'verb': SIGNAL_VERB[signal_type],
'path': unquoted_path,
'params': {'SignatureMethod': 'HmacSHA256',
'SignatureVersion': '2',
'AWSAccessKeyId': access_key,
'Timestamp':
self.created_time.strftime("%Y-%m-%dT%H:%M:%SZ")
}}
# Sign the request
signer = ec2_utils.Ec2Signer(secret_key)
request['params']['Signature'] = signer.generate(request)
qs = urlparse.urlencode(request['params'])
url = "%s%s?%s" % (signal_url.lower(),
path, qs)
self.data_set('ec2_signed_url', url)
return url
def _delete_ec2_signed_url(self):
self.data_delete('ec2_signed_url')
self._delete_keypair()
def _get_heat_signal_url(self, project_id=None):
"""Return a heat-api signal URL for this resource.
This URL is not pre-signed, valid user credentials are required.
If a project_id is provided, it is used in place of the original
project_id. This is useful to generate a signal URL that uses
the heat stack user project instead of the user's.
"""
stored = self.data().get('heat_signal_url')
if stored is not None:
return stored
if self.id is None:
# it is too early
return
url = self.client_plugin('heat').get_heat_url()
path = self.identifier().url_path()
if project_id is not None:
path = project_id + path[path.find('/'):]
url = urlparse.urljoin(url, '%s/signal' % path)
self.data_set('heat_signal_url', url)
return url
def _delete_heat_signal_url(self):
self.data_delete('heat_signal_url')
def _get_swift_signal_url(self, multiple_signals=False):
"""Create properly formatted and pre-signed Swift signal URL.
This uses a Swift pre-signed temp_url. If multiple_signals is
requested, the Swift object referenced by the returned URL will have
versioning enabled.
"""
put_url = self.data().get('swift_signal_url')
if put_url:
return put_url
if self.id is None:
# it is too early
return
container = self.stack.id
object_name = self.physical_resource_name()
self.client('swift').put_container(container)
if multiple_signals:
put_url = self.client_plugin('swift').get_signal_url(container,
object_name)
else:
put_url = self.client_plugin('swift').get_temp_url(container,
object_name)
self.client('swift').put_object(container, object_name, '')
self.data_set('swift_signal_url', put_url)
self.data_set('swift_signal_object_name', object_name)
return put_url
def _delete_swift_signal_url(self):
object_name = self.data().get('swift_signal_object_name')
if not object_name:
return
with self.client_plugin('swift').ignore_not_found:
container_name = self.stack.id
swift = self.client('swift')
# delete all versions of the object, in case there are some
# signals that are waiting to be handled
container = swift.get_container(container_name)
filtered = [obj for obj in container[1]
if object_name in obj['name']]
for obj in filtered:
# we delete the main object every time, swift takes
# care of restoring the previous version after each delete
swift.delete_object(container_name, object_name)
headers = swift.head_container(container_name)
if int(headers['x-container-object-count']) == 0:
swift.delete_container(container_name)
self.data_delete('swift_signal_object_name')
self.data_delete('swift_signal_url')
def _get_zaqar_signal_queue_id(self):
"""Return a zaqar queue_id for signaling this resource.
This uses the created user for the credentials.
"""
queue_id = self.data().get('zaqar_signal_queue_id')
if queue_id:
return queue_id
if self.id is None:
# it is too early
return
if self._get_user_id() is None:
if self.password is None:
self.password = password_gen.generate_openstack_password()
self._create_user()
queue_id = self.physical_resource_name()
zaqar_plugin = self.client_plugin('zaqar')
zaqar = zaqar_plugin.create_for_tenant(
self.stack.stack_user_project_id, self._user_token())
queue = zaqar.queue(queue_id)
signed_url_data = queue.signed_url(
['messages'], methods=['GET', 'DELETE'])
self.data_set('zaqar_queue_signed_url_data',
jsonutils.dumps(signed_url_data))
self.data_set('zaqar_signal_queue_id', queue_id)
return queue_id
def _delete_zaqar_signal_queue(self):
queue_id = self.data().get('zaqar_signal_queue_id')
if not queue_id:
return
zaqar_plugin = self.client_plugin('zaqar')
zaqar = zaqar_plugin.create_for_tenant(
self.stack.stack_user_project_id, self._user_token())
with zaqar_plugin.ignore_not_found:
zaqar.queue(queue_id).delete()
self.data_delete('zaqar_signal_queue_id')
def _get_signal(self, signal_type=SIGNAL, multiple_signals=False):
"""Return a dictionary with signal details.
Subclasses can invoke this method to retrieve information of the
resource signal for the specified transport.
"""
signal = None
if self._signal_transport_cfn():
signal = {'alarm_url': self._get_ec2_signed_url(
signal_type=signal_type)}
elif self._signal_transport_heat():
signal = self._get_heat_signal_credentials()
signal['alarm_url'] = self._get_heat_signal_url(
project_id=self.stack.stack_user_project_id)
elif self._signal_transport_temp_url():
signal = {'alarm_url': self._get_swift_signal_url(
multiple_signals=multiple_signals)}
elif self._signal_transport_zaqar():
signal = self._get_heat_signal_credentials()
signal['queue_id'] = self._get_zaqar_signal_queue_id()
elif self._signal_transport_none():
signal = {}
return signal
def _service_swift_signal(self):
swift_client = self.client('swift')
try:
container = swift_client.get_container(self.stack.id)
except Exception as exc:
self.client_plugin('swift').ignore_not_found(exc)
LOG.debug("Swift container %s was not found", self.stack.id)
return
index = container[1]
if not index: # Swift objects were deleted by user
LOG.debug("Swift objects in container %s were not found",
self.stack.id)
return
# Remove objects that are for other resources, given that
# multiple swift signals in the same stack share a container
object_name = self.physical_resource_name()
filtered = [obj for obj in index if object_name in obj['name']]
# Fetch objects from Swift and filter results
signal_names = []
for obj in filtered:
try:
signal = swift_client.get_object(self.stack.id, obj['name'])
except Exception as exc:
self.client_plugin('swift').ignore_not_found(exc)
continue
body = signal[1]
if body == swift.IN_PROGRESS: # Ignore the initial object
continue
signal_names.append(obj['name'])
if body == "":
self.signal(details={})
continue
try:
self.signal(details=jsonutils.loads(body))
except ValueError:
raise exception.Error(_("Failed to parse JSON data: %s") %
body)
# remove the signals that were consumed
for signal_name in signal_names:
if signal_name != object_name:
swift_client.delete_object(self.stack.id, signal_name)
if object_name in signal_names:
swift_client.delete_object(self.stack.id, object_name)
def _service_zaqar_signal(self):
zaqar_plugin = self.client_plugin('zaqar')
zaqar = zaqar_plugin.create_for_tenant(
self.stack.stack_user_project_id, self._user_token())
try:
queue = zaqar.queue(self._get_zaqar_signal_queue_id())
except Exception as ex:
self.client_plugin('zaqar').ignore_not_found(ex)
return
messages = list(queue.pop())
for message in messages:
self.signal(details=message.body)
def _service_signal(self):
"""Service the signal, when necessary.
This method must be called repeatedly by subclasses to update the
state of the signals that require polling, which are the ones based on
Swift temp URLs and Zaqar queues. The "NO_SIGNAL" case is also handled
here by triggering the signal once per call.
"""
if self._signal_transport_temp_url():
self._service_swift_signal()
elif self._signal_transport_zaqar():
self._service_zaqar_signal()
elif self._signal_transport_none():
self.signal(details={})
|
apache-2.0
|
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alexanderfefelov/nav
|
python/nav/web/geomap/coordinates.py
|
1
|
10124
|
#
# Copyright (C) 2009, 2010 UNINETT AS
#
# This file is part of Network Administration Visualized (NAV).
#
# NAV is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License version 2 as published by the Free
# Software Foundation.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details. You should have received a copy of the GNU General Public
# License along with NAV. If not, see <http://www.gnu.org/licenses/>.
#
"""Coordinate transformation.
Functions for converting between UTM and longitude/latitude, and for
parsing a string representation of UTM.
Derived from code available under GPL from http://pygps.org/
(http://pygps.org/LatLongUTMconversion-1.2.tar.gz)
"""
from math import pi, sin, cos, tan, sqrt
import re
_deg2rad = pi / 180.0
_rad2deg = 180.0 / pi
_equatorial_radius = 2
_eccentricity_squared = 3
_ellipsoid = [
# id, Ellipsoid name, Equatorial Radius, square of eccentricity
# first once is a placeholder only, To allow array indices to match id numbers
[ -1, "Placeholder", 0, 0],
[ 1, "Airy", 6377563, 0.00667054],
[ 2, "Australian National", 6378160, 0.006694542],
[ 3, "Bessel 1841", 6377397, 0.006674372],
[ 4, "Bessel 1841 (Nambia] ", 6377484, 0.006674372],
[ 5, "Clarke 1866", 6378206, 0.006768658],
[ 6, "Clarke 1880", 6378249, 0.006803511],
[ 7, "Everest", 6377276, 0.006637847],
[ 8, "Fischer 1960 (Mercury] ", 6378166, 0.006693422],
[ 9, "Fischer 1968", 6378150, 0.006693422],
[ 10, "GRS 1967", 6378160, 0.006694605],
[ 11, "GRS 1980", 6378137, 0.00669438],
[ 12, "Helmert 1906", 6378200, 0.006693422],
[ 13, "Hough", 6378270, 0.00672267],
[ 14, "International", 6378388, 0.00672267],
[ 15, "Krassovsky", 6378245, 0.006693422],
[ 16, "Modified Airy", 6377340, 0.00667054],
[ 17, "Modified Everest", 6377304, 0.006637847],
[ 18, "Modified Fischer 1960", 6378155, 0.006693422],
[ 19, "South American 1969", 6378160, 0.006694542],
[ 20, "WGS 60", 6378165, 0.006693422],
[ 21, "WGS 66", 6378145, 0.006694542],
[ 22, "WGS-72", 6378135, 0.006694318],
[ 23, "WGS-84", 6378137, 0.00669438]
]
#Reference ellipsoids derived from Peter H. Dana's website-
#http://www.utexas.edu/depts/grg/gcraft/notes/datum/elist.html
#Department of Geography, University of Texas at Austin
#Internet: pdana@mail.utexas.edu
#3/22/95
#Source
#Defense Mapping Agency. 1987b. DMA Technical Report: Supplement to Department of Defense World Geodetic System
#1984 Technical Report. Part I and II. Washington, DC: Defense Mapping Agency
def ll_to_utm(reference_ellipsoid, lat, lon, zone = None):
"""converts lat/long to UTM coords. Equations from USGS Bulletin 1532
East Longitudes are positive, West longitudes are negative.
North latitudes are positive, South latitudes are negative
lat and Long are in decimal degrees
Written by Chuck Gantz- chuck.gantz@globalstar.com"""
a = _ellipsoid[reference_ellipsoid][_equatorial_radius]
ecc_squared = _ellipsoid[reference_ellipsoid][_eccentricity_squared]
k0 = 0.9996
#Make sure the longitude is between -180.00 .. 179.9
lon_tmp = (lon+180)-int((lon+180)/360)*360-180 # -180.00 .. 179.9
lat_rad = lat*_deg2rad
lon_rad = lon_tmp*_deg2rad
if zone is None:
zone_number = int((lon_tmp + 180)/6) + 1
else:
zone_number = zone
if lat >= 56.0 and lat < 64.0 and lon_tmp >= 3.0 and lon_tmp < 12.0:
zone_number = 32
# Special zones for Svalbard
if lat >= 72.0 and lat < 84.0:
if lon_tmp >= 0.0 and lon_tmp < 9.0:
zone_number = 31
elif lon_tmp >= 9.0 and lon_tmp < 21.0:
zone_number = 33
elif lon_tmp >= 21.0 and lon_tmp < 33.0:
zone_number = 35
elif lon_tmp >= 33.0 and lon_tmp < 42.0:
zone_number = 37
lon_origin = (zone_number - 1)*6 - 180 + 3 #+3 puts origin in middle of zone
lon_origin_rad = lon_origin * _deg2rad
#compute the UTM Zone from the latitude and longitude
utm_zone = "%d%c" % (zone_number, _utm_letter_designator(lat))
ecc_prime_squared = (ecc_squared)/(1-ecc_squared)
N = a/sqrt(1-ecc_squared*sin(lat_rad)*sin(lat_rad))
T = tan(lat_rad)*tan(lat_rad)
C = ecc_prime_squared*cos(lat_rad)*cos(lat_rad)
A = cos(lat_rad)*(lon_rad-lon_origin_rad)
M = a*((1
- ecc_squared/4
- 3*ecc_squared*ecc_squared/64
- 5*ecc_squared*ecc_squared*ecc_squared/256)*lat_rad
- (3*ecc_squared/8
+ 3*ecc_squared*ecc_squared/32
+ 45*ecc_squared*ecc_squared*ecc_squared/1024)*sin(2*lat_rad)
+ (15*ecc_squared*ecc_squared/256 + 45*ecc_squared*ecc_squared*ecc_squared/1024)*sin(4*lat_rad)
- (35*ecc_squared*ecc_squared*ecc_squared/3072)*sin(6*lat_rad))
utm_easting = (k0*N*(A+(1-T+C)*A*A*A/6
+ (5-18*T+T*T+72*C-58*ecc_prime_squared)*A*A*A*A*A/120)
+ 500000.0)
utm_northing = (k0*(M+N*tan(lat_rad)*(A*A/2+(5-T+9*C+4*C*C)*A*A*A*A/24
+ (61
-58*T
+T*T
+600*C
-330*ecc_prime_squared)*A*A*A*A*A*A/720)))
if lat < 0:
utm_northing = utm_northing + 10000000.0; #10000000 meter offset for southern hemisphere
return (utm_zone, utm_easting, utm_northing)
def _utm_letter_designator(lat):
"""This routine determines the correct UTM letter designator for the given latitude
returns 'Z' if latitude is outside the UTM limits of 84N to 80S
Written by Chuck Gantz- chuck.gantz@globalstar.com"""
if 84 >= lat >= 72: return 'X'
elif 72 > lat >= 64: return 'W'
elif 64 > lat >= 56: return 'V'
elif 56 > lat >= 48: return 'U'
elif 48 > lat >= 40: return 'T'
elif 40 > lat >= 32: return 'S'
elif 32 > lat >= 24: return 'R'
elif 24 > lat >= 16: return 'Q'
elif 16 > lat >= 8: return 'P'
elif 8 > lat >= 0: return 'N'
elif 0 > lat >= -8: return 'M'
elif -8 > lat >= -16: return 'L'
elif -16 > lat >= -24: return 'K'
elif -24 > lat >= -32: return 'J'
elif -32 > lat >= -40: return 'H'
elif -40 > lat >= -48: return 'G'
elif -48 > lat >= -56: return 'F'
elif -56 > lat >= -64: return 'E'
elif -64 > lat >= -72: return 'D'
elif -72 > lat >= -80: return 'C'
else: return 'Z' # if the Latitude is outside the UTM limits
def utm_to_ll(reference_ellipsoid, northing, easting, zone):
"""converts UTM coords to lat/long. Equations from USGS Bulletin 1532
East Longitudes are positive, West longitudes are negative.
North latitudes are positive, South latitudes are negative
lat and lon are in decimal degrees.
Written by Chuck Gantz- chuck.gantz@globalstar.com
Converted to Python by Russ Nelson <nelson@crynwr.com>"""
k0 = 0.9996
a = _ellipsoid[reference_ellipsoid][_equatorial_radius]
ecc_squared = _ellipsoid[reference_ellipsoid][_eccentricity_squared]
e1 = (1-sqrt(1-ecc_squared))/(1+sqrt(1-ecc_squared))
#northern_hemisphere; //1 for northern hemispher, 0 for southern
x = easting - 500000.0 #remove 500,000 meter offset for longitude
y = northing
zone_letter = zone[-1]
zone_number = int(zone[:-1])
if zone_letter >= 'N':
northern_hemisphere = 1 # point is in northern hemisphere
else:
northern_hemisphere = 0 # point is in southern hemisphere
y -= 10000000.0 # remove 10,000,000 meter offset used for southern hemisphere
lon_origin = (zone_number - 1)*6 - 180 + 3 # +3 puts origin in middle of zone
ecc_prime_squared = (ecc_squared)/(1-ecc_squared)
M = y / k0
mu = M/(a*(1-ecc_squared/4-3*ecc_squared*ecc_squared/64-5*ecc_squared*ecc_squared*ecc_squared/256))
phi1_rad = (mu + (3*e1/2-27*e1*e1*e1/32)*sin(2*mu)
+ (21*e1*e1/16-55*e1*e1*e1*e1/32)*sin(4*mu)
+(151*e1*e1*e1/96)*sin(6*mu))
phi1 = phi1_rad*_rad2deg;
N1 = a/sqrt(1-ecc_squared*sin(phi1_rad)*sin(phi1_rad))
T1 = tan(phi1_rad)*tan(phi1_rad)
C1 = ecc_prime_squared*cos(phi1_rad)*cos(phi1_rad)
R1 = a*(1-ecc_squared)/pow(1-ecc_squared*sin(phi1_rad)*sin(phi1_rad), 1.5)
D = x/(N1*k0)
lat = phi1_rad - (N1*tan(phi1_rad)/R1)*(D*D/2-(5+3*T1+10*C1-4*C1*C1-9*ecc_prime_squared)*D*D*D*D/24
+(61+90*T1+298*C1+45*T1*T1-252*ecc_prime_squared-3*C1*C1)*D*D*D*D*D*D/720)
lat = lat * _rad2deg
lon = (D-(1+2*T1+C1)*D*D*D/6+(5-2*C1+28*T1-3*C1*C1+8*ecc_prime_squared+24*T1*T1)
*D*D*D*D*D/120)/cos(phi1_rad)
lon = lon_origin + lon * _rad2deg
return (lat, lon)
def parse_utm(utm_str):
"""Parse UTM coordinates from a string.
utm_str should be a string of the form 'zh n e', where z is a zone
number, h a hemisphere identifier ('N' or 'S') and n and e the
northing and easting. h may be omitted, in which case 'N' is
assumed.
Return value: dictionary with keys (zone, hemisphere, n, e).
"""
default_hemisphere = 'N'
utm_re = (r'^\W*([0-9][0-9])([NS]?)\W+([0-9]*[.]?[0-9]+)\W+'
r'([0-9]*[.]?[0-9]+)\W*$')
m = re.match(utm_re, utm_str)
if m is None:
raise Exception('incorrectly formatted UTM string "' + utm_str)
utm = {}
utm['zone'] = int(m.group(1))
utm['hemisphere'] = m.group(2)
if utm['hemisphere'] == '':
utm['hemisphere'] = default_hemisphere
utm['n'] = float(m.group(3))
utm['e'] = float(m.group(4))
return utm
def utm_str_to_lonlat(utm_str):
"""Convert UTM coordinates in string form (see parse_utm) to a
(longitude,latitude) pair.
"""
utm = parse_utm(utm_str)
(lat, lon) = utm_to_ll(23, utm['n'], utm['e'],
'%d%s'%(utm['zone'], utm['hemisphere']))
return (lon, lat)
|
gpl-2.0
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jpshort/odoo
|
addons/membership/membership.py
|
11
|
27706
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
import time
from openerp.osv import fields, osv
import openerp.addons.decimal_precision as dp
from openerp.tools.translate import _
STATE = [
('none', 'Non Member'),
('canceled', 'Cancelled Member'),
('old', 'Old Member'),
('waiting', 'Waiting Member'),
('invoiced', 'Invoiced Member'),
('free', 'Free Member'),
('paid', 'Paid Member'),
]
STATE_PRIOR = {
'none': 0,
'canceled': 1,
'old': 2,
'waiting': 3,
'invoiced': 4,
'free': 6,
'paid': 7
}
class membership_line(osv.osv):
'''Member line'''
def _get_partners(self, cr, uid, ids, context=None):
list_membership_line = []
member_line_obj = self.pool.get('membership.membership_line')
for partner in self.pool.get('res.partner').browse(cr, uid, ids, context=context):
if partner.member_lines:
list_membership_line += member_line_obj.search(cr, uid, [('id', 'in', [ l.id for l in partner.member_lines])], context=context)
return list_membership_line
def _get_membership_lines(self, cr, uid, ids, context=None):
list_membership_line = []
member_line_obj = self.pool.get('membership.membership_line')
for invoice in self.pool.get('account.invoice').browse(cr, uid, ids, context=context):
if invoice.invoice_line:
list_membership_line += member_line_obj.search(cr, uid, [('account_invoice_line', 'in', [ l.id for l in invoice.invoice_line])], context=context)
return list_membership_line
def _check_membership_date(self, cr, uid, ids, context=None):
"""Check if membership product is not in the past
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of Membership Line IDs
@param context: A standard dictionary for contextual values
"""
cr.execute('''
SELECT MIN(ml.date_to - ai.date_invoice)
FROM membership_membership_line ml
JOIN account_invoice_line ail ON (
ml.account_invoice_line = ail.id
)
JOIN account_invoice ai ON (
ai.id = ail.invoice_id)
WHERE ml.id IN %s''', (tuple(ids),))
res = cr.fetchall()
for r in res:
if r[0] and r[0] < 0:
return False
return True
def _state(self, cr, uid, ids, name, args, context=None):
"""Compute the state lines
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of Membership Line IDs
@param name: Field Name
@param context: A standard dictionary for contextual values
@param return: Dictionary of state Value
"""
res = {}
inv_obj = self.pool.get('account.invoice')
for line in self.browse(cr, uid, ids, context=context):
cr.execute('''
SELECT i.state, i.id FROM
account_invoice i
WHERE
i.id = (
SELECT l.invoice_id FROM
account_invoice_line l WHERE
l.id = (
SELECT ml.account_invoice_line FROM
membership_membership_line ml WHERE
ml.id = %s
)
)
''', (line.id,))
fetched = cr.fetchone()
if not fetched:
res[line.id] = 'canceled'
continue
istate = fetched[0]
state = 'none'
if (istate == 'draft') | (istate == 'proforma'):
state = 'waiting'
elif istate == 'open':
state = 'invoiced'
elif istate == 'paid':
state = 'paid'
inv = inv_obj.browse(cr, uid, fetched[1], context=context)
for payment in inv.payment_ids:
if payment.invoice and payment.invoice.type == 'out_refund':
state = 'canceled'
elif istate == 'cancel':
state = 'canceled'
res[line.id] = state
return res
_description = __doc__
_name = 'membership.membership_line'
_columns = {
'partner': fields.many2one('res.partner', 'Partner', ondelete='cascade', select=1),
'membership_id': fields.many2one('product.product', string="Membership", required=True),
'date_from': fields.date('From', readonly=True),
'date_to': fields.date('To', readonly=True),
'date_cancel': fields.date('Cancel date'),
'date': fields.date('Join Date', help="Date on which member has joined the membership"),
'member_price': fields.float('Membership Fee', digits_compute= dp.get_precision('Product Price'), required=True, help='Amount for the membership'),
'account_invoice_line': fields.many2one('account.invoice.line', 'Account Invoice line', readonly=True),
'account_invoice_id': fields.related('account_invoice_line', 'invoice_id', type='many2one', relation='account.invoice', string='Invoice', readonly=True),
'state': fields.function(_state,
string='Membership Status', type='selection',
selection=STATE, store = {
'account.invoice': (_get_membership_lines, ['state'], 10),
'res.partner': (_get_partners, ['membership_state'], 12),
}, help="""It indicates the membership status.
-Non Member: A member who has not applied for any membership.
-Cancelled Member: A member who has cancelled his membership.
-Old Member: A member whose membership date has expired.
-Waiting Member: A member who has applied for the membership and whose invoice is going to be created.
-Invoiced Member: A member whose invoice has been created.
-Paid Member: A member who has paid the membership amount."""),
'company_id': fields.related('account_invoice_line', 'invoice_id', 'company_id', type="many2one", relation="res.company", string="Company", readonly=True, store=True)
}
_rec_name = 'partner'
_order = 'id desc'
_constraints = [
(_check_membership_date, 'Error, this membership product is out of date', [])
]
class Partner(osv.osv):
'''Partner'''
_inherit = 'res.partner'
def _get_partner_id(self, cr, uid, ids, context=None):
member_line_obj = self.pool.get('membership.membership_line')
res_obj = self.pool.get('res.partner')
data_inv = member_line_obj.browse(cr, uid, ids, context=context)
list_partner = []
for data in data_inv:
list_partner.append(data.partner.id)
ids2 = list_partner
while ids2:
ids2 = res_obj.search(cr, uid, [('associate_member', 'in', ids2)], context=context)
list_partner += ids2
return list_partner
def _get_invoice_partner(self, cr, uid, ids, context=None):
inv_obj = self.pool.get('account.invoice')
res_obj = self.pool.get('res.partner')
data_inv = inv_obj.browse(cr, uid, ids, context=context)
list_partner = []
for data in data_inv:
list_partner.append(data.partner_id.id)
ids2 = list_partner
while ids2:
ids2 = res_obj.search(cr, uid, [('associate_member', 'in', ids2)], context=context)
list_partner += ids2
return list_partner
def _membership_state(self, cr, uid, ids, name, args, context=None):
"""This Function return Membership State For Given Partner.
@param self: The object pointer
@param cr: the current row, from the database cursor,
@param uid: the current user’s ID for security checks,
@param ids: List of Partner IDs
@param name: Field Name
@param context: A standard dictionary for contextual values
@param return: Dictionary of Membership state Value
"""
res = {}
for id in ids:
res[id] = 'none'
today = time.strftime('%Y-%m-%d')
for id in ids:
partner_data = self.browse(cr, uid, id, context=context)
if partner_data.membership_cancel and today > partner_data.membership_cancel:
res[id] = 'free' if partner_data.free_member else 'canceled'
continue
if partner_data.membership_stop and today > partner_data.membership_stop:
res[id] = 'free' if partner_data.free_member else 'old'
continue
s = 4
if partner_data.member_lines:
for mline in partner_data.member_lines:
if mline.date_to >= today:
if mline.account_invoice_line and mline.account_invoice_line.invoice_id:
mstate = mline.account_invoice_line.invoice_id.state
if mstate == 'paid':
s = 0
inv = mline.account_invoice_line.invoice_id
for payment in inv.payment_ids:
if payment.invoice.type == 'out_refund':
s = 2
break
elif mstate == 'open' and s!=0:
s = 1
elif mstate == 'cancel' and s!=0 and s!=1:
s = 2
elif (mstate == 'draft' or mstate == 'proforma') and s!=0 and s!=1:
s = 3
if s==4:
for mline in partner_data.member_lines:
if mline.date_from < today and mline.date_to < today and mline.date_from <= mline.date_to and (mline.account_invoice_line and mline.account_invoice_line.invoice_id.state) == 'paid':
s = 5
else:
s = 6
if s==0:
res[id] = 'paid'
elif s==1:
res[id] = 'invoiced'
elif s==2:
res[id] = 'canceled'
elif s==3:
res[id] = 'waiting'
elif s==5:
res[id] = 'old'
elif s==6:
res[id] = 'none'
if partner_data.free_member and s!=0:
res[id] = 'free'
if partner_data.associate_member:
res_state = self._membership_state(cr, uid, [partner_data.associate_member.id], name, args, context=context)
res[id] = res_state[partner_data.associate_member.id]
return res
def _membership_date(self, cr, uid, ids, name, args, context=None):
"""Return date of membership"""
name = name[0]
res = {}
member_line_obj = self.pool.get('membership.membership_line')
for partner in self.browse(cr, uid, ids, context=context):
if partner.associate_member:
partner_id = partner.associate_member.id
else:
partner_id = partner.id
res[partner.id] = {
'membership_start': False,
'membership_stop': False,
'membership_cancel': False
}
if name == 'membership_start':
line_id = member_line_obj.search(cr, uid, [('partner', '=', partner_id),('date_cancel','=',False)],
limit=1, order='date_from', context=context)
if line_id:
res[partner.id]['membership_start'] = member_line_obj.read(cr, uid, [line_id[0]],
['date_from'], context=context)[0]['date_from']
if name == 'membership_stop':
line_id1 = member_line_obj.search(cr, uid, [('partner', '=', partner_id),('date_cancel','=',False)],
limit=1, order='date_to desc', context=context)
if line_id1:
res[partner.id]['membership_stop'] = member_line_obj.read(cr, uid, [line_id1[0]],
['date_to'], context=context)[0]['date_to']
if name == 'membership_cancel':
if partner.membership_state == 'canceled':
line_id2 = member_line_obj.search(cr, uid, [('partner', '=', partner.id)], limit=1, order='date_cancel', context=context)
if line_id2:
res[partner.id]['membership_cancel'] = member_line_obj.read(cr, uid, [line_id2[0]], ['date_cancel'], context=context)[0]['date_cancel']
return res
def _get_partners(self, cr, uid, ids, context=None):
ids2 = ids
while ids2:
ids2 = self.search(cr, uid, [('associate_member', 'in', ids2)], context=context)
ids += ids2
return ids
def __get_membership_state(self, *args, **kwargs):
return self._membership_state(*args, **kwargs)
_columns = {
'associate_member': fields.many2one('res.partner', 'Associate Member',help="A member with whom you want to associate your membership.It will consider the membership state of the associated member."),
'member_lines': fields.one2many('membership.membership_line', 'partner', 'Membership'),
'free_member': fields.boolean('Free Member', help = "Select if you want to give free membership."),
'membership_amount': fields.float(
'Membership Amount', digits=(16, 2),
help = 'The price negotiated by the partner'),
'membership_state': fields.function(
__get_membership_state,
string = 'Current Membership Status', type = 'selection',
selection = STATE,
store = {
'account.invoice': (_get_invoice_partner, ['state'], 10),
'membership.membership_line': (_get_partner_id, ['state'], 10),
'res.partner': (_get_partners, ['free_member', 'membership_state', 'associate_member'], 10)
}, help='It indicates the membership state.\n'
'-Non Member: A partner who has not applied for any membership.\n'
'-Cancelled Member: A member who has cancelled his membership.\n'
'-Old Member: A member whose membership date has expired.\n'
'-Waiting Member: A member who has applied for the membership and whose invoice is going to be created.\n'
'-Invoiced Member: A member whose invoice has been created.\n'
'-Paying member: A member who has paid the membership fee.'),
'membership_start': fields.function(
_membership_date, multi = 'membeship_start',
string = 'Membership Start Date', type = 'date',
store = {
'account.invoice': (_get_invoice_partner, ['state'], 10),
'membership.membership_line': (_get_partner_id, ['state'], 10, ),
'res.partner': (lambda self, cr, uid, ids, c={}: ids, ['free_member'], 10)
}, help="Date from which membership becomes active."),
'membership_stop': fields.function(
_membership_date,
string = 'Membership End Date', type='date', multi='membership_stop',
store = {
'account.invoice': (_get_invoice_partner, ['state'], 10),
'membership.membership_line': (_get_partner_id, ['state'], 10),
'res.partner': (lambda self, cr, uid, ids, c={}: ids, ['free_member'], 10)
}, help="Date until which membership remains active."),
'membership_cancel': fields.function(
_membership_date,
string = 'Cancel Membership Date', type='date', multi='membership_cancel',
store = {
'account.invoice': (_get_invoice_partner, ['state'], 11),
'membership.membership_line': (_get_partner_id, ['state'], 10),
'res.partner': (lambda self, cr, uid, ids, c={}: ids, ['free_member'], 10)
}, help="Date on which membership has been cancelled"),
}
_defaults = {
'free_member': False,
'membership_cancel': False,
}
def _check_recursion(self, cr, uid, ids, context=None):
"""Check Recursive for Associated Members.
"""
level = 100
while len(ids):
cr.execute('SELECT DISTINCT associate_member FROM res_partner WHERE id IN %s', (tuple(ids),))
ids = filter(None, map(lambda x:x[0], cr.fetchall()))
if not level:
return False
level -= 1
return True
_constraints = [
(_check_recursion, 'Error ! You cannot create recursive associated members.', ['associate_member'])
]
def create_membership_invoice(self, cr, uid, ids, product_id=None, datas=None, context=None):
""" Create Customer Invoice of Membership for partners.
@param datas: datas has dictionary value which consist Id of Membership product and Cost Amount of Membership.
datas = {'membership_product_id': None, 'amount': None}
"""
invoice_obj = self.pool.get('account.invoice')
invoice_line_obj = self.pool.get('account.invoice.line')
invoice_tax_obj = self.pool.get('account.invoice.tax')
product_id = product_id or datas.get('membership_product_id', False)
amount = datas.get('amount', 0.0)
invoice_list = []
if type(ids) in (int, long,):
ids = [ids]
for partner in self.browse(cr, uid, ids, context=context):
account_id = partner.property_account_receivable and partner.property_account_receivable.id or False
fpos_id = partner.property_account_position and partner.property_account_position.id or False
addr = self.address_get(cr, uid, [partner.id], ['invoice'])
if partner.free_member:
raise osv.except_osv(_('Error!'),
_("Partner is a free Member."))
if not addr.get('invoice', False):
raise osv.except_osv(_('Error!'),
_("Partner doesn't have an address to make the invoice."))
quantity = 1
line_value = {
'product_id': product_id,
}
line_dict = invoice_line_obj.product_id_change(cr, uid, {},
product_id, False, quantity, '', 'out_invoice', partner.id, fpos_id, price_unit=amount, context=context)
line_value.update(line_dict['value'])
line_value['price_unit'] = amount
if line_value.get('invoice_line_tax_id', False):
tax_tab = [(6, 0, line_value['invoice_line_tax_id'])]
line_value['invoice_line_tax_id'] = tax_tab
invoice_id = invoice_obj.create(cr, uid, {
'partner_id': partner.id,
'account_id': account_id,
'fiscal_position': fpos_id or False
}, context=context)
line_value['invoice_id'] = invoice_id
invoice_line_id = invoice_line_obj.create(cr, uid, line_value, context=context)
invoice_obj.write(cr, uid, invoice_id, {'invoice_line': [(6, 0, [invoice_line_id])]}, context=context)
invoice_list.append(invoice_id)
if line_value['invoice_line_tax_id']:
tax_value = invoice_tax_obj.compute(cr, uid, invoice_id).values()
for tax in tax_value:
invoice_tax_obj.create(cr, uid, tax, context=context)
#recompute the membership_state of those partners
self.pool.get('res.partner').write(cr, uid, ids, {})
return invoice_list
class Product(osv.osv):
def fields_view_get(self, cr, user, view_id=None, view_type='form', context=None, toolbar=False, submenu=False):
model_obj = self.pool.get('ir.model.data')
if context is None:
context = {}
if ('product' in context) and (context['product']=='membership_product'):
model_data_ids_form = model_obj.search(cr, user, [('model','=','ir.ui.view'), ('name', 'in', ['membership_products_form', 'membership_products_tree'])], context=context)
resource_id_form = model_obj.read(cr, user, model_data_ids_form, fields=['res_id', 'name'], context=context)
dict_model = {}
for i in resource_id_form:
dict_model[i['name']] = i['res_id']
if view_type == 'form':
view_id = dict_model['membership_products_form']
else:
view_id = dict_model['membership_products_tree']
return super(Product,self).fields_view_get(cr, user, view_id, view_type, context, toolbar, submenu)
'''Product'''
_inherit = 'product.template'
_columns = {
'membership': fields.boolean('Membership', help='Check if the product is eligible for membership.'),
'membership_date_from': fields.date('Membership Start Date', help='Date from which membership becomes active.'),
'membership_date_to': fields.date('Membership End Date', help='Date until which membership remains active.'),
}
_sql_constraints = [('membership_date_greater','check(membership_date_to >= membership_date_from)','Error ! Ending Date cannot be set before Beginning Date.')]
_defaults = {
'membership': False,
}
class Invoice(osv.osv):
'''Invoice'''
_inherit = 'account.invoice'
def action_cancel(self, cr, uid, ids, context=None):
'''Create a 'date_cancel' on the membership_line object'''
member_line_obj = self.pool.get('membership.membership_line')
today = time.strftime('%Y-%m-%d')
for invoice in self.browse(cr, uid, ids, context=context):
mlines = member_line_obj.search(cr, uid,
[('account_invoice_line', 'in',
[l.id for l in invoice.invoice_line])])
member_line_obj.write(cr, uid, mlines, {'date_cancel': today})
return super(Invoice, self).action_cancel(cr, uid, ids, context=context)
class account_invoice_line(osv.osv):
_inherit='account.invoice.line'
def write(self, cr, uid, ids, vals, context=None):
"""Overrides orm write method
"""
member_line_obj = self.pool.get('membership.membership_line')
res = super(account_invoice_line, self).write(cr, uid, ids, vals, context=context)
for line in self.browse(cr, uid, ids, context=context):
if line.invoice_id.type == 'out_invoice':
ml_ids = member_line_obj.search(cr, uid, [('account_invoice_line', '=', line.id)], context=context)
if line.product_id and line.product_id.membership and not ml_ids:
# Product line has changed to a membership product
date_from = line.product_id.membership_date_from
date_to = line.product_id.membership_date_to
if line.invoice_id.date_invoice > date_from and line.invoice_id.date_invoice < date_to:
date_from = line.invoice_id.date_invoice
member_line_obj.create(cr, uid, {
'partner': line.invoice_id.partner_id.id,
'membership_id': line.product_id.id,
'member_price': line.price_unit,
'date': time.strftime('%Y-%m-%d'),
'date_from': date_from,
'date_to': date_to,
'account_invoice_line': line.id,
}, context=context)
if line.product_id and not line.product_id.membership and ml_ids:
# Product line has changed to a non membership product
member_line_obj.unlink(cr, uid, ml_ids, context=context)
return res
def unlink(self, cr, uid, ids, context=None):
"""Remove Membership Line Record for Account Invoice Line
"""
member_line_obj = self.pool.get('membership.membership_line')
for id in ids:
ml_ids = member_line_obj.search(cr, uid, [('account_invoice_line', '=', id)], context=context)
member_line_obj.unlink(cr, uid, ml_ids, context=context)
return super(account_invoice_line, self).unlink(cr, uid, ids, context=context)
def create(self, cr, uid, vals, context=None):
"""Overrides orm create method
"""
member_line_obj = self.pool.get('membership.membership_line')
result = super(account_invoice_line, self).create(cr, uid, vals, context=context)
line = self.browse(cr, uid, result, context=context)
if line.invoice_id.type == 'out_invoice':
ml_ids = member_line_obj.search(cr, uid, [('account_invoice_line', '=', line.id)], context=context)
if line.product_id and line.product_id.membership and not ml_ids:
# Product line is a membership product
date_from = line.product_id.membership_date_from
date_to = line.product_id.membership_date_to
if line.invoice_id.date_invoice > date_from and line.invoice_id.date_invoice < date_to:
date_from = line.invoice_id.date_invoice
member_line_obj.create(cr, uid, {
'partner': line.invoice_id.partner_id and line.invoice_id.partner_id.id or False,
'membership_id': line.product_id.id,
'member_price': line.price_unit,
'date': time.strftime('%Y-%m-%d'),
'date_from': date_from,
'date_to': date_to,
'account_invoice_line': line.id,
}, context=context)
return result
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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kbrebanov/ansible
|
lib/ansible/modules/remote_management/manageiq/manageiq_policies.py
|
23
|
11922
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2017, Daniel Korn <korndaniel1@gmail.com>
# (c) 2017, Yaacov Zamir <yzamir@redhat.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
module: manageiq_policies
short_description: Management of resource policy_profiles in ManageIQ.
extends_documentation_fragment: manageiq
version_added: '2.5'
author: Daniel Korn (@dkorn)
description:
- The manageiq_policies module supports adding and deleting policy_profiles in ManageIQ.
options:
state:
description:
- absent - policy_profiles should not exist,
- present - policy_profiles should exist,
- list - list current policy_profiles and policies.
required: False
choices: ['absent', 'present', 'list']
default: 'present'
policy_profiles:
description:
- list of dictionaries, each includes the policy_profile 'name' key.
- required if state is present or absent.
required: false
default: null
resource_type:
description:
- the type of the resource to which the profile should be [un]assigned
required: true
choices: ['provider', 'host', 'vm', 'blueprint', 'category', 'cluster',
'data store', 'group', 'resource pool', 'service', 'service template',
'template', 'tenant', 'user']
default: null
resource_name:
description:
- the name of the resource to which the profile should be [un]assigned
required: true
default: null
'''
EXAMPLES = '''
- name: Assign new policy_profile for a provider in ManageIQ
manageiq_policies:
resource_name: 'EngLab'
resource_type: 'provider'
policy_profiles:
- name: openscap profile
manageiq_connection:
url: 'http://127.0.0.1:3000'
username: 'admin'
password: 'smartvm'
verify_ssl: False
- name: Unassign a policy_profile for a provider in ManageIQ
manageiq_policies:
state: absent
resource_name: 'EngLab'
resource_type: 'provider'
policy_profiles:
- name: openscap profile
manageiq_connection:
url: 'http://127.0.0.1:3000'
username: 'admin'
password: 'smartvm'
verify_ssl: False
- name: List current policy_profile and policies for a provider in ManageIQ
manageiq_policies:
state: list
resource_name: 'EngLab'
resource_type: 'provider'
manageiq_connection:
url: 'http://127.0.0.1:3000'
username: 'admin'
password: 'smartvm'
verify_ssl: False
'''
RETURN = '''
manageiq_policies:
description:
- List current policy_profile and policies for a provider in ManageIQ
returned: always
type: dict
sample: '{
"changed": false,
"profiles": [
{
"policies": [
{
"active": true,
"description": "OpenSCAP",
"name": "openscap policy"
},
{
"active": true,
"description": "Analyse incoming container images",
"name": "analyse incoming container images"
},
{
"active": true,
"description": "Schedule compliance after smart state analysis",
"name": "schedule compliance after smart state analysis"
}
],
"profile_description": "OpenSCAP profile",
"profile_name": "openscap profile"
}
]
}'
'''
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.manageiq import ManageIQ, manageiq_argument_spec, manageiq_entities
class ManageIQPolicies(object):
"""
Object to execute policies management operations of manageiq resources.
"""
def __init__(self, manageiq, resource_type, resource_id):
self.manageiq = manageiq
self.module = self.manageiq.module
self.api_url = self.manageiq.api_url
self.client = self.manageiq.client
self.resource_type = resource_type
self.resource_id = resource_id
self.resource_url = '{api_url}/{resource_type}/{resource_id}'.format(
api_url=self.api_url,
resource_type=resource_type,
resource_id=resource_id)
def query_profile_href(self, profile):
""" Add or Update the policy_profile href field
Example:
{name: STR, ...} => {name: STR, href: STR}
"""
resource = self.manageiq.find_collection_resource_or_fail(
"policy_profiles", **profile)
return dict(name=profile['name'], href=resource['href'])
def query_resource_profiles(self):
""" Returns a set of the profile objects objects assigned to the resource
"""
url = '{resource_url}/policy_profiles?expand=resources'
try:
response = self.client.get(url.format(resource_url=self.resource_url))
except Exception as e:
msg = "Failed to query {resource_type} policies: {error}".format(
resource_type=self.resource_type,
error=e)
self.module.fail_json(msg=msg)
resources = response.get('resources', [])
# clean the returned rest api profile object to look like:
# {profile_name: STR, profile_description: STR, policies: ARR<POLICIES>}
profiles = [self.clean_profile_object(profile) for profile in resources]
return profiles
def query_profile_policies(self, profile_id):
""" Returns a set of the policy objects assigned to the resource
"""
url = '{api_url}/policy_profiles/{profile_id}?expand=policies'
try:
response = self.client.get(url.format(api_url=self.api_url, profile_id=profile_id))
except Exception as e:
msg = "Failed to query {resource_type} policies: {error}".format(
resource_type=self.resource_type,
error=e)
self.module.fail_json(msg=msg)
resources = response.get('policies', [])
# clean the returned rest api policy object to look like:
# {name: STR, description: STR, active: BOOL}
policies = [self.clean_policy_object(policy) for policy in resources]
return policies
def clean_policy_object(self, policy):
""" Clean a policy object to have human readable form of:
{
name: STR,
description: STR,
active: BOOL
}
"""
name = policy.get('name')
description = policy.get('description')
active = policy.get('active')
return dict(
name=name,
description=description,
active=active)
def clean_profile_object(self, profile):
""" Clean a profile object to have human readable form of:
{
profile_name: STR,
profile_description: STR,
policies: ARR<POLICIES>
}
"""
profile_id = profile['id']
name = profile.get('name')
description = profile.get('description')
policies = self.query_profile_policies(profile_id)
return dict(
profile_name=name,
profile_description=description,
policies=policies)
def profiles_to_update(self, profiles, action):
""" Create a list of policies we need to update in ManageIQ.
Returns:
Whether or not a change took place and a message describing the
operation executed.
"""
profiles_to_post = []
assigned_profiles = self.query_resource_profiles()
# make a list of assigned full profile names strings
# e.g. ['openscap profile', ...]
assigned_profiles_set = set([profile['profile_name'] for profile in assigned_profiles])
for profile in profiles:
assigned = profile.get('name') in assigned_profiles_set
if (action == 'unassign' and assigned) or (action == 'assign' and not assigned):
# add/update the policy profile href field
# {name: STR, ...} => {name: STR, href: STR}
profile = self.query_profile_href(profile)
profiles_to_post.append(profile)
return profiles_to_post
def assign_or_unassign_profiles(self, profiles, action):
""" Perform assign/unassign action
"""
# get a list of profiles needed to be changed
profiles_to_post = self.profiles_to_update(profiles, action)
if not profiles_to_post:
return dict(
changed=False,
msg="Profiles {profiles} already {action}ed, nothing to do".format(
action=action,
profiles=profiles))
# try to assign or unassign profiles to resource
url = '{resource_url}/policy_profiles'.format(resource_url=self.resource_url)
try:
response = self.client.post(url, action=action, resources=profiles_to_post)
except Exception as e:
msg = "Failed to {action} profile: {error}".format(
action=action,
error=e)
self.module.fail_json(msg=msg)
# check all entities in result to be successfull
for result in response['results']:
if not result['success']:
msg = "Failed to {action}: {message}".format(
action=action,
message=result['message'])
self.module.fail_json(msg=msg)
# successfully changed all needed profiles
return dict(
changed=True,
msg="Successfully {action}ed profiles: {profiles}".format(
action=action,
profiles=profiles))
def main():
actions = {'present': 'assign', 'absent': 'unassign', 'list': 'list'}
argument_spec = dict(
policy_profiles=dict(type='list'),
resource_name=dict(required=True, type='str'),
resource_type=dict(required=True, type='str',
choices=manageiq_entities().keys()),
state=dict(required=False, type='str',
choices=['present', 'absent', 'list'], default='present'),
)
# add the manageiq connection arguments to the arguments
argument_spec.update(manageiq_argument_spec())
module = AnsibleModule(
argument_spec=argument_spec,
required_if=[
('state', 'present', ['policy_profiles']),
('state', 'absent', ['policy_profiles'])
],
)
policy_profiles = module.params['policy_profiles']
resource_type_key = module.params['resource_type']
resource_name = module.params['resource_name']
state = module.params['state']
# get the action and resource type
action = actions[state]
resource_type = manageiq_entities()[resource_type_key]
manageiq = ManageIQ(module)
# query resource id, fail if resource does not exist
resource_id = manageiq.find_collection_resource_or_fail(resource_type, name=resource_name)['id']
manageiq_policies = ManageIQPolicies(manageiq, resource_type, resource_id)
if action == 'list':
# return a list of current profiles for this object
current_profiles = manageiq_policies.query_resource_profiles()
res_args = dict(changed=False, profiles=current_profiles)
else:
# assign or unassign the profiles
res_args = manageiq_policies.assign_or_unassign_profiles(policy_profiles, action)
module.exit_json(**res_args)
if __name__ == "__main__":
main()
|
gpl-3.0
|
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] |
timoschwarzer/blendworks
|
BlendWorks Server/python/Lib/site-packages/pip/_vendor/requests/packages/charade/charsetgroupprober.py
|
2929
|
3791
|
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from . import constants
import sys
from .charsetprober import CharSetProber
class CharSetGroupProber(CharSetProber):
def __init__(self):
CharSetProber.__init__(self)
self._mActiveNum = 0
self._mProbers = []
self._mBestGuessProber = None
def reset(self):
CharSetProber.reset(self)
self._mActiveNum = 0
for prober in self._mProbers:
if prober:
prober.reset()
prober.active = True
self._mActiveNum += 1
self._mBestGuessProber = None
def get_charset_name(self):
if not self._mBestGuessProber:
self.get_confidence()
if not self._mBestGuessProber:
return None
# self._mBestGuessProber = self._mProbers[0]
return self._mBestGuessProber.get_charset_name()
def feed(self, aBuf):
for prober in self._mProbers:
if not prober:
continue
if not prober.active:
continue
st = prober.feed(aBuf)
if not st:
continue
if st == constants.eFoundIt:
self._mBestGuessProber = prober
return self.get_state()
elif st == constants.eNotMe:
prober.active = False
self._mActiveNum -= 1
if self._mActiveNum <= 0:
self._mState = constants.eNotMe
return self.get_state()
return self.get_state()
def get_confidence(self):
st = self.get_state()
if st == constants.eFoundIt:
return 0.99
elif st == constants.eNotMe:
return 0.01
bestConf = 0.0
self._mBestGuessProber = None
for prober in self._mProbers:
if not prober:
continue
if not prober.active:
if constants._debug:
sys.stderr.write(prober.get_charset_name()
+ ' not active\n')
continue
cf = prober.get_confidence()
if constants._debug:
sys.stderr.write('%s confidence = %s\n' %
(prober.get_charset_name(), cf))
if bestConf < cf:
bestConf = cf
self._mBestGuessProber = prober
if not self._mBestGuessProber:
return 0.0
return bestConf
# else:
# self._mBestGuessProber = self._mProbers[0]
# return self._mBestGuessProber.get_confidence()
|
gpl-2.0
|
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tklaus/ansible
|
lib/ansible/errors/yaml_strings.py
|
264
|
3419
|
# (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
__all__ = [
'YAML_SYNTAX_ERROR',
'YAML_POSITION_DETAILS',
'YAML_COMMON_DICT_ERROR',
'YAML_COMMON_UNQUOTED_VARIABLE_ERROR',
'YAML_COMMON_UNQUOTED_COLON_ERROR',
'YAML_COMMON_PARTIALLY_QUOTED_LINE_ERROR',
'YAML_COMMON_UNBALANCED_QUOTES_ERROR',
]
YAML_SYNTAX_ERROR = """\
Syntax Error while loading YAML.
"""
YAML_POSITION_DETAILS = """\
The error appears to have been in '%s': line %s, column %s, but may
be elsewhere in the file depending on the exact syntax problem.
"""
YAML_COMMON_DICT_ERROR = """\
This one looks easy to fix. YAML thought it was looking for the start of a
hash/dictionary and was confused to see a second "{". Most likely this was
meant to be an ansible template evaluation instead, so we have to give the
parser a small hint that we wanted a string instead. The solution here is to
just quote the entire value.
For instance, if the original line was:
app_path: {{ base_path }}/foo
It should be written as:
app_path: "{{ base_path }}/foo"
"""
YAML_COMMON_UNQUOTED_VARIABLE_ERROR = """\
We could be wrong, but this one looks like it might be an issue with
missing quotes. Always quote template expression brackets when they
start a value. For instance:
with_items:
- {{ foo }}
Should be written as:
with_items:
- "{{ foo }}"
"""
YAML_COMMON_UNQUOTED_COLON_ERROR = """\
This one looks easy to fix. There seems to be an extra unquoted colon in the line
and this is confusing the parser. It was only expecting to find one free
colon. The solution is just add some quotes around the colon, or quote the
entire line after the first colon.
For instance, if the original line was:
copy: src=file.txt dest=/path/filename:with_colon.txt
It can be written as:
copy: src=file.txt dest='/path/filename:with_colon.txt'
Or:
copy: 'src=file.txt dest=/path/filename:with_colon.txt'
"""
YAML_COMMON_PARTIALLY_QUOTED_LINE_ERROR = """\
This one looks easy to fix. It seems that there is a value started
with a quote, and the YAML parser is expecting to see the line ended
with the same kind of quote. For instance:
when: "ok" in result.stdout
Could be written as:
when: '"ok" in result.stdout'
Or equivalently:
when: "'ok' in result.stdout"
"""
YAML_COMMON_UNBALANCED_QUOTES_ERROR = """\
We could be wrong, but this one looks like it might be an issue with
unbalanced quotes. If starting a value with a quote, make sure the
line ends with the same set of quotes. For instance this arbitrary
example:
foo: "bad" "wolf"
Could be written as:
foo: '"bad" "wolf"'
"""
|
gpl-3.0
|
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NullNoname/dolphin
|
Externals/scons-local/scons-local-2.0.1/SCons/Tool/rpm.py
|
61
|
4549
|
"""SCons.Tool.rpm
Tool-specific initialization for rpm.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
The rpm tool calls the rpmbuild command. The first and only argument should a
tar.gz consisting of the source file and a specfile.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY
# KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
__revision__ = "src/engine/SCons/Tool/rpm.py 5134 2010/08/16 23:02:40 bdeegan"
import os
import re
import shutil
import subprocess
import SCons.Builder
import SCons.Node.FS
import SCons.Util
import SCons.Action
import SCons.Defaults
def get_cmd(source, env):
tar_file_with_included_specfile = source
if SCons.Util.is_List(source):
tar_file_with_included_specfile = source[0]
return "%s %s %s"%(env['RPM'], env['RPMFLAGS'],
tar_file_with_included_specfile.abspath )
def build_rpm(target, source, env):
# create a temporary rpm build root.
tmpdir = os.path.join( os.path.dirname( target[0].abspath ), 'rpmtemp' )
if os.path.exists(tmpdir):
shutil.rmtree(tmpdir)
# now create the mandatory rpm directory structure.
for d in ['RPMS', 'SRPMS', 'SPECS', 'BUILD']:
os.makedirs( os.path.join( tmpdir, d ) )
# set the topdir as an rpmflag.
env.Prepend( RPMFLAGS = '--define \'_topdir %s\'' % tmpdir )
# now call rpmbuild to create the rpm package.
handle = subprocess.Popen(get_cmd(source, env),
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
shell=True)
output = handle.stdout.read()
status = handle.wait()
if status:
raise SCons.Errors.BuildError( node=target[0],
errstr=output,
filename=str(target[0]) )
else:
# XXX: assume that LC_ALL=c is set while running rpmbuild
output_files = re.compile( 'Wrote: (.*)' ).findall( output )
for output, input in zip( output_files, target ):
rpm_output = os.path.basename(output)
expected = os.path.basename(input.get_path())
assert expected == rpm_output, "got %s but expected %s" % (rpm_output, expected)
shutil.copy( output, input.abspath )
# cleanup before leaving.
shutil.rmtree(tmpdir)
return status
def string_rpm(target, source, env):
try:
return env['RPMCOMSTR']
except KeyError:
return get_cmd(source, env)
rpmAction = SCons.Action.Action(build_rpm, string_rpm)
RpmBuilder = SCons.Builder.Builder(action = SCons.Action.Action('$RPMCOM', '$RPMCOMSTR'),
source_scanner = SCons.Defaults.DirScanner,
suffix = '$RPMSUFFIX')
def generate(env):
"""Add Builders and construction variables for rpm to an Environment."""
try:
bld = env['BUILDERS']['Rpm']
except KeyError:
bld = RpmBuilder
env['BUILDERS']['Rpm'] = bld
env.SetDefault(RPM = 'LC_ALL=c rpmbuild')
env.SetDefault(RPMFLAGS = SCons.Util.CLVar('-ta'))
env.SetDefault(RPMCOM = rpmAction)
env.SetDefault(RPMSUFFIX = '.rpm')
def exists(env):
return env.Detect('rpmbuild')
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set expandtab tabstop=4 shiftwidth=4:
|
gpl-2.0
|
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madmax983/h2o-3
|
h2o-py/tests/testdir_munging/unop/pyunit_frame_reducers.py
|
1
|
1280
|
import sys
sys.path.insert(1,"../../../")
import h2o
from tests import pyunit_utils
import numpy as np
import random
def frame_reducers():
data = [[random.uniform(-10000,10000) for r in range(10)] for c in range(10)]
h2o_data = h2o.H2OFrame(zip(*data))
np_data = np.array(data)
h2o_val = h2o_data.min()
num_val = np.min(np_data)
assert abs(h2o_val - num_val) < 1e-06, \
"check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal min values between h2o and " \
"numpy".format(h2o_val,num_val)
h2o_val = h2o_data.max()
num_val = np.max(np_data)
assert abs(h2o_val - num_val) < 1e-06, \
"check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal max values between h2o and " \
"numpy".format(h2o_val,num_val)
h2o_val = h2o_data.sum()
num_val = np.sum(np_data)
assert abs(h2o_val - num_val) < 1e-06, \
"check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal sum values between h2o and " \
"numpy".format(h2o_val,num_val)
#pyunit_utils.np_comparison_check(h2o.var(h2o_data), np.cov(np_data, rowvar=0, ddof=1), 10)
if __name__ == "__main__":
pyunit_utils.standalone_test(frame_reducers)
else:
frame_reducers()
|
apache-2.0
|
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GbalsaC/bitnamiP
|
venv/lib/python2.7/site-packages/kombu/exceptions.py
|
27
|
1860
|
"""
kombu.exceptions
================
Exceptions.
"""
from __future__ import absolute_import
import socket
from amqp import ChannelError, ConnectionError, ResourceError
__all__ = ['NotBoundError', 'MessageStateError', 'TimeoutError',
'LimitExceeded', 'ConnectionLimitExceeded',
'ChannelLimitExceeded', 'ConnectionError', 'ChannelError',
'VersionMismatch', 'SerializerNotInstalled', 'ResourceError',
'SerializationError', 'EncodeError', 'DecodeError']
TimeoutError = socket.timeout
class KombuError(Exception):
"""Common subclass for all Kombu exceptions."""
pass
class SerializationError(KombuError):
"""Failed to serialize/deserialize content."""
class EncodeError(SerializationError):
"""Cannot encode object."""
pass
class DecodeError(SerializationError):
"""Cannot decode object."""
class NotBoundError(KombuError):
"""Trying to call channel dependent method on unbound entity."""
pass
class MessageStateError(KombuError):
"""The message has already been acknowledged."""
pass
class LimitExceeded(KombuError):
"""Limit exceeded."""
pass
class ConnectionLimitExceeded(LimitExceeded):
"""Maximum number of simultaneous connections exceeded."""
pass
class ChannelLimitExceeded(LimitExceeded):
"""Maximum number of simultaneous channels exceeded."""
pass
class VersionMismatch(KombuError):
pass
class SerializerNotInstalled(KombuError):
"""Support for the requested serialization type is not installed"""
pass
class ContentDisallowed(SerializerNotInstalled):
"""Consumer does not allow this content-type."""
pass
class InconsistencyError(ConnectionError):
"""Data or environment has been found to be inconsistent,
depending on the cause it may be possible to retry the operation."""
pass
|
agpl-3.0
|
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patrikpettersson/rest-engine
|
lib/werkzeug/_internal.py
|
89
|
14082
|
# -*- coding: utf-8 -*-
"""
werkzeug._internal
~~~~~~~~~~~~~~~~~~
This module provides internally used helpers and constants.
:copyright: (c) 2011 by the Werkzeug Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
import inspect
from weakref import WeakKeyDictionary
from cStringIO import StringIO
from Cookie import SimpleCookie, Morsel, CookieError
from time import gmtime
from datetime import datetime, date
_logger = None
_empty_stream = StringIO('')
_signature_cache = WeakKeyDictionary()
_epoch_ord = date(1970, 1, 1).toordinal()
HTTP_STATUS_CODES = {
100: 'Continue',
101: 'Switching Protocols',
102: 'Processing',
200: 'OK',
201: 'Created',
202: 'Accepted',
203: 'Non Authoritative Information',
204: 'No Content',
205: 'Reset Content',
206: 'Partial Content',
207: 'Multi Status',
226: 'IM Used', # see RFC 3229
300: 'Multiple Choices',
301: 'Moved Permanently',
302: 'Found',
303: 'See Other',
304: 'Not Modified',
305: 'Use Proxy',
307: 'Temporary Redirect',
400: 'Bad Request',
401: 'Unauthorized',
402: 'Payment Required', # unused
403: 'Forbidden',
404: 'Not Found',
405: 'Method Not Allowed',
406: 'Not Acceptable',
407: 'Proxy Authentication Required',
408: 'Request Timeout',
409: 'Conflict',
410: 'Gone',
411: 'Length Required',
412: 'Precondition Failed',
413: 'Request Entity Too Large',
414: 'Request URI Too Long',
415: 'Unsupported Media Type',
416: 'Requested Range Not Satisfiable',
417: 'Expectation Failed',
418: 'I\'m a teapot', # see RFC 2324
422: 'Unprocessable Entity',
423: 'Locked',
424: 'Failed Dependency',
426: 'Upgrade Required',
449: 'Retry With', # proprietary MS extension
500: 'Internal Server Error',
501: 'Not Implemented',
502: 'Bad Gateway',
503: 'Service Unavailable',
504: 'Gateway Timeout',
505: 'HTTP Version Not Supported',
507: 'Insufficient Storage',
510: 'Not Extended'
}
class _Missing(object):
def __repr__(self):
return 'no value'
def __reduce__(self):
return '_missing'
_missing = _Missing()
def _proxy_repr(cls):
def proxy_repr(self):
return '%s(%s)' % (self.__class__.__name__, cls.__repr__(self))
return proxy_repr
def _get_environ(obj):
env = getattr(obj, 'environ', obj)
assert isinstance(env, dict), \
'%r is not a WSGI environment (has to be a dict)' % type(obj).__name__
return env
def _log(type, message, *args, **kwargs):
"""Log into the internal werkzeug logger."""
global _logger
if _logger is None:
import logging
_logger = logging.getLogger('werkzeug')
# Only set up a default log handler if the
# end-user application didn't set anything up.
if not logging.root.handlers and _logger.level == logging.NOTSET:
_logger.setLevel(logging.INFO)
handler = logging.StreamHandler()
_logger.addHandler(handler)
getattr(_logger, type)(message.rstrip(), *args, **kwargs)
def _parse_signature(func):
"""Return a signature object for the function."""
if hasattr(func, 'im_func'):
func = func.im_func
# if we have a cached validator for this function, return it
parse = _signature_cache.get(func)
if parse is not None:
return parse
# inspect the function signature and collect all the information
positional, vararg_var, kwarg_var, defaults = inspect.getargspec(func)
defaults = defaults or ()
arg_count = len(positional)
arguments = []
for idx, name in enumerate(positional):
if isinstance(name, list):
raise TypeError('cannot parse functions that unpack tuples '
'in the function signature')
try:
default = defaults[idx - arg_count]
except IndexError:
param = (name, False, None)
else:
param = (name, True, default)
arguments.append(param)
arguments = tuple(arguments)
def parse(args, kwargs):
new_args = []
missing = []
extra = {}
# consume as many arguments as positional as possible
for idx, (name, has_default, default) in enumerate(arguments):
try:
new_args.append(args[idx])
except IndexError:
try:
new_args.append(kwargs.pop(name))
except KeyError:
if has_default:
new_args.append(default)
else:
missing.append(name)
else:
if name in kwargs:
extra[name] = kwargs.pop(name)
# handle extra arguments
extra_positional = args[arg_count:]
if vararg_var is not None:
new_args.extend(extra_positional)
extra_positional = ()
if kwargs and not kwarg_var is not None:
extra.update(kwargs)
kwargs = {}
return new_args, kwargs, missing, extra, extra_positional, \
arguments, vararg_var, kwarg_var
_signature_cache[func] = parse
return parse
def _patch_wrapper(old, new):
"""Helper function that forwards all the function details to the
decorated function."""
try:
new.__name__ = old.__name__
new.__module__ = old.__module__
new.__doc__ = old.__doc__
new.__dict__ = old.__dict__
except Exception:
pass
return new
def _decode_unicode(value, charset, errors):
"""Like the regular decode function but this one raises an
`HTTPUnicodeError` if errors is `strict`."""
fallback = None
if errors.startswith('fallback:'):
fallback = errors[9:]
errors = 'strict'
try:
return value.decode(charset, errors)
except UnicodeError, e:
if fallback is not None:
return value.decode(fallback, 'replace')
from werkzeug.exceptions import HTTPUnicodeError
raise HTTPUnicodeError(str(e))
def _iter_modules(path):
"""Iterate over all modules in a package."""
import os
import pkgutil
if hasattr(pkgutil, 'iter_modules'):
for importer, modname, ispkg in pkgutil.iter_modules(path):
yield modname, ispkg
return
from inspect import getmodulename
from pydoc import ispackage
found = set()
for path in path:
for filename in os.listdir(path):
p = os.path.join(path, filename)
modname = getmodulename(filename)
if modname and modname != '__init__':
if modname not in found:
found.add(modname)
yield modname, ispackage(modname)
def _dump_date(d, delim):
"""Used for `http_date` and `cookie_date`."""
if d is None:
d = gmtime()
elif isinstance(d, datetime):
d = d.utctimetuple()
elif isinstance(d, (int, long, float)):
d = gmtime(d)
return '%s, %02d%s%s%s%s %02d:%02d:%02d GMT' % (
('Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun')[d.tm_wday],
d.tm_mday, delim,
('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',
'Oct', 'Nov', 'Dec')[d.tm_mon - 1],
delim, str(d.tm_year), d.tm_hour, d.tm_min, d.tm_sec
)
def _date_to_unix(arg):
"""Converts a timetuple, integer or datetime object into the seconds from
epoch in utc.
"""
if isinstance(arg, datetime):
arg = arg.utctimetuple()
elif isinstance(arg, (int, long, float)):
return int(arg)
year, month, day, hour, minute, second = arg[:6]
days = date(year, month, 1).toordinal() - _epoch_ord + day - 1
hours = days * 24 + hour
minutes = hours * 60 + minute
seconds = minutes * 60 + second
return seconds
class _ExtendedMorsel(Morsel):
_reserved = {'httponly': 'HttpOnly'}
_reserved.update(Morsel._reserved)
def __init__(self, name=None, value=None):
Morsel.__init__(self)
if name is not None:
self.set(name, value, value)
def OutputString(self, attrs=None):
httponly = self.pop('httponly', False)
result = Morsel.OutputString(self, attrs).rstrip('\t ;')
if httponly:
result += '; HttpOnly'
return result
class _ExtendedCookie(SimpleCookie):
"""Form of the base cookie that doesn't raise a `CookieError` for
malformed keys. This has the advantage that broken cookies submitted
by nonstandard browsers don't cause the cookie to be empty.
"""
def _BaseCookie__set(self, key, real_value, coded_value):
morsel = self.get(key, _ExtendedMorsel())
try:
morsel.set(key, real_value, coded_value)
except CookieError:
pass
dict.__setitem__(self, key, morsel)
class _DictAccessorProperty(object):
"""Baseclass for `environ_property` and `header_property`."""
read_only = False
def __init__(self, name, default=None, load_func=None, dump_func=None,
read_only=None, doc=None):
self.name = name
self.default = default
self.load_func = load_func
self.dump_func = dump_func
if read_only is not None:
self.read_only = read_only
self.__doc__ = doc
def __get__(self, obj, type=None):
if obj is None:
return self
storage = self.lookup(obj)
if self.name not in storage:
return self.default
rv = storage[self.name]
if self.load_func is not None:
try:
rv = self.load_func(rv)
except (ValueError, TypeError):
rv = self.default
return rv
def __set__(self, obj, value):
if self.read_only:
raise AttributeError('read only property')
if self.dump_func is not None:
value = self.dump_func(value)
self.lookup(obj)[self.name] = value
def __delete__(self, obj):
if self.read_only:
raise AttributeError('read only property')
self.lookup(obj).pop(self.name, None)
def __repr__(self):
return '<%s %s>' % (
self.__class__.__name__,
self.name
)
def _easteregg(app):
"""Like the name says. But who knows how it works?"""
gyver = '\n'.join([x + (77 - len(x)) * ' ' for x in '''
eJyFlzuOJDkMRP06xRjymKgDJCDQStBYT8BCgK4gTwfQ2fcFs2a2FzvZk+hvlcRvRJD148efHt9m
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1R4FQ3Uwt8RKEtRc0/CrANUoes3EzM6WYcFyskGZ6UTHJWenBDS7h163Eo2bpzqxNE9aVgEM2CqI
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Jlxr3pUuFvlBWLJGE3GcA1/1xxLcHmlO+LAXbhrXah1tD6Ze+uqFGdZa5FM+3eHcKNaEarutAQ0A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'''.decode('base64').decode('zlib').splitlines()])
def easteregged(environ, start_response):
def injecting_start_response(status, headers, exc_info=None):
headers.append(('X-Powered-By', 'Werkzeug'))
return start_response(status, headers, exc_info)
if environ.get('QUERY_STRING') != 'macgybarchakku':
return app(environ, injecting_start_response)
injecting_start_response('200 OK', [('Content-Type', 'text/html')])
return ['''
<!DOCTYPE html>
<html>
<head>
<title>About Werkzeug</title>
<style type="text/css">
body { font: 15px Georgia, serif; text-align: center; }
a { color: #333; text-decoration: none; }
h1 { font-size: 30px; margin: 20px 0 10px 0; }
p { margin: 0 0 30px 0; }
pre { font: 11px 'Consolas', 'Monaco', monospace; line-height: 0.95; }
</style>
</head>
<body>
<h1><a href="http://werkzeug.pocoo.org/">Werkzeug</a></h1>
<p>the Swiss Army knife of Python web development.</p>
<pre>%s\n\n\n</pre>
</body>
</html>''' % gyver]
return easteregged
|
mit
|
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] |
lukeiwanski/tensorflow-opencl
|
tensorflow/contrib/distributions/python/ops/categorical.py
|
5
|
8801
|
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""The Categorical distribution class."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.distributions.python.ops import distribution
from tensorflow.contrib.distributions.python.ops import distribution_util
from tensorflow.contrib.distributions.python.ops import kullback_leibler
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shape
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import nn_ops
from tensorflow.python.ops import random_ops
class Categorical(distribution.Distribution):
"""Categorical distribution.
The categorical distribution is parameterized by the log-probabilities
of a set of classes.
#### Examples
Creates a 3-class distiribution, with the 2nd class, the most likely to be
drawn from.
```python
p = [0.1, 0.5, 0.4]
dist = Categorical(probs=p)
```
Creates a 3-class distiribution, with the 2nd class the most likely to be
drawn from, using logits.
```python
logits = [-50, 400, 40]
dist = Categorical(logits=logits)
```
Creates a 3-class distribution, with the 3rd class is most likely to be drawn.
The distribution functions can be evaluated on counts.
```python
# counts is a scalar.
p = [0.1, 0.4, 0.5]
dist = Categorical(probs=p)
dist.prob(0) # Shape []
# p will be broadcast to [[0.1, 0.4, 0.5], [0.1, 0.4, 0.5]] to match counts.
counts = [1, 0]
dist.prob(counts) # Shape [2]
# p will be broadcast to shape [3, 5, 7, 3] to match counts.
counts = [[...]] # Shape [5, 7, 3]
dist.prob(counts) # Shape [5, 7, 3]
```
"""
def __init__(
self,
logits=None,
probs=None,
dtype=dtypes.int32,
validate_args=False,
allow_nan_stats=True,
name="Categorical"):
"""Initialize Categorical distributions using class log-probabilities.
Args:
logits: An N-D `Tensor`, `N >= 1`, representing the log probabilities
of a set of Categorical distributions. The first `N - 1` dimensions
index into a batch of independent distributions and the last dimension
represents a vector of logits for each class. Only one of `logits` or
`probs` should be passed in.
probs: An N-D `Tensor`, `N >= 1`, representing the probabilities
of a set of Categorical distributions. The first `N - 1` dimensions
index into a batch of independent distributions and the last dimension
represents a vector of probabilities for each class. Only one of
`logits` or `probs` should be passed in.
dtype: The type of the event samples (default: int32).
validate_args: Python `bool`, default `False`. When `True` distribution
parameters are checked for validity despite possibly degrading runtime
performance. When `False` invalid inputs may silently render incorrect
outputs.
allow_nan_stats: Python `bool`, default `True`. When `True`, statistics
(e.g., mean, mode, variance) use the value "`NaN`" to indicate the
result is undefined. When `False`, an exception is raised if one or
more of the statistic's batch members are undefined.
name: Python `str` name prefixed to Ops created by this class.
"""
parameters = locals()
with ops.name_scope(name, values=[logits, probs]) as ns:
self._logits, self._probs = distribution_util.get_logits_and_probs(
logits=logits,
probs=probs,
validate_args=validate_args,
multidimensional=True,
name=name)
logits_shape_static = self._logits.get_shape().with_rank_at_least(1)
if logits_shape_static.ndims is not None:
self._batch_rank = ops.convert_to_tensor(
logits_shape_static.ndims - 1,
dtype=dtypes.int32,
name="batch_rank")
else:
with ops.name_scope(name="batch_rank"):
self._batch_rank = array_ops.rank(self._logits) - 1
logits_shape = array_ops.shape(self._logits, name="logits_shape")
if logits_shape_static[-1].value is not None:
self._event_size = ops.convert_to_tensor(
logits_shape_static[-1].value,
dtype=dtypes.int32,
name="event_size")
else:
with ops.name_scope(name="event_size"):
self._event_size = logits_shape[self._batch_rank]
if logits_shape_static[:-1].is_fully_defined():
self._batch_shape_val = constant_op.constant(
logits_shape_static[:-1].as_list(),
dtype=dtypes.int32,
name="batch_shape")
else:
with ops.name_scope(name="batch_shape"):
self._batch_shape_val = logits_shape[:-1]
super(Categorical, self).__init__(
dtype=dtype,
is_continuous=False,
reparameterization_type=distribution.NOT_REPARAMETERIZED,
validate_args=validate_args,
allow_nan_stats=allow_nan_stats,
parameters=parameters,
graph_parents=[self._logits,
self._probs],
name=ns)
@property
def event_size(self):
"""Scalar `int32` tensor: the number of classes."""
return self._event_size
@property
def logits(self):
"""Vector of coordinatewise logits."""
return self._logits
@property
def probs(self):
"""Vector of coordinatewise probabilities."""
return self._probs
def _batch_shape_tensor(self):
return array_ops.identity(self._batch_shape_val)
def _batch_shape(self):
return self.logits.get_shape()[:-1]
def _event_shape_tensor(self):
return constant_op.constant([], dtype=dtypes.int32)
def _event_shape(self):
return tensor_shape.scalar()
def _sample_n(self, n, seed=None):
if self.logits.get_shape().ndims == 2:
logits_2d = self.logits
else:
logits_2d = array_ops.reshape(self.logits, [-1, self.event_size])
samples = random_ops.multinomial(logits_2d, n, seed=seed)
samples = math_ops.cast(samples, self.dtype)
ret = array_ops.reshape(
array_ops.transpose(samples),
array_ops.concat([[n], self.batch_shape_tensor()], 0))
return ret
def _log_prob(self, k):
k = ops.convert_to_tensor(k, name="k")
if self.logits.get_shape()[:-1] == k.get_shape():
logits = self.logits
else:
logits = self.logits * array_ops.ones_like(
array_ops.expand_dims(k, -1), dtype=self.logits.dtype)
logits_shape = array_ops.shape(logits)[:-1]
k *= array_ops.ones(logits_shape, dtype=k.dtype)
k.set_shape(tensor_shape.TensorShape(logits.get_shape()[:-1]))
return -nn_ops.sparse_softmax_cross_entropy_with_logits(labels=k,
logits=logits)
def _prob(self, k):
return math_ops.exp(self._log_prob(k))
def _entropy(self):
return -math_ops.reduce_sum(
nn_ops.log_softmax(self.logits) * self.probs, axis=-1)
def _mode(self):
ret = math_ops.argmax(self.logits, dimension=self._batch_rank)
ret = math_ops.cast(ret, self.dtype)
ret.set_shape(self.batch_shape)
return ret
@kullback_leibler.RegisterKL(Categorical, Categorical)
def _kl_categorical_categorical(a, b, name=None):
"""Calculate the batched KL divergence KL(a || b) with a and b Categorical.
Args:
a: instance of a Categorical distribution object.
b: instance of a Categorical distribution object.
name: (optional) Name to use for created operations.
default is "kl_categorical_categorical".
Returns:
Batchwise KL(a || b)
"""
with ops.name_scope(name, "kl_categorical_categorical",
values=[a.logits, b.logits]):
# sum(probs log(probs / (1 - probs)))
delta_log_probs1 = (nn_ops.log_softmax(a.logits) -
nn_ops.log_softmax(b.logits))
return math_ops.reduce_sum(nn_ops.softmax(a.logits) * delta_log_probs1,
axis=-1)
|
apache-2.0
|
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andreamerello/linux-stm32
|
scripts/gdb/linux/dmesg.py
|
249
|
2059
|
#
# gdb helper commands and functions for Linux kernel debugging
#
# kernel log buffer dump
#
# Copyright (c) Siemens AG, 2011, 2012
#
# Authors:
# Jan Kiszka <jan.kiszka@siemens.com>
#
# This work is licensed under the terms of the GNU GPL version 2.
#
import gdb
from linux import utils
class LxDmesg(gdb.Command):
"""Print Linux kernel log buffer."""
def __init__(self):
super(LxDmesg, self).__init__("lx-dmesg", gdb.COMMAND_DATA)
def invoke(self, arg, from_tty):
log_buf_addr = int(str(gdb.parse_and_eval("log_buf")).split()[0], 16)
log_first_idx = int(gdb.parse_and_eval("log_first_idx"))
log_next_idx = int(gdb.parse_and_eval("log_next_idx"))
log_buf_len = int(gdb.parse_and_eval("log_buf_len"))
inf = gdb.inferiors()[0]
start = log_buf_addr + log_first_idx
if log_first_idx < log_next_idx:
log_buf_2nd_half = -1
length = log_next_idx - log_first_idx
log_buf = utils.read_memoryview(inf, start, length).tobytes()
else:
log_buf_2nd_half = log_buf_len - log_first_idx
a = utils.read_memoryview(inf, start, log_buf_2nd_half)
b = utils.read_memoryview(inf, log_buf_addr, log_next_idx)
log_buf = a.tobytes() + b.tobytes()
pos = 0
while pos < log_buf.__len__():
length = utils.read_u16(log_buf[pos + 8:pos + 10])
if length == 0:
if log_buf_2nd_half == -1:
gdb.write("Corrupted log buffer!\n")
break
pos = log_buf_2nd_half
continue
text_len = utils.read_u16(log_buf[pos + 10:pos + 12])
text = log_buf[pos + 16:pos + 16 + text_len].decode()
time_stamp = utils.read_u64(log_buf[pos:pos + 8])
for line in text.splitlines():
gdb.write("[{time:12.6f}] {line}\n".format(
time=time_stamp / 1000000000.0,
line=line))
pos += length
LxDmesg()
|
gpl-2.0
|
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inesaloulou21/arisgames
|
zxing-master/cpp/scons/scons-local-2.0.0.final.0/SCons/Tool/Subversion.py
|
34
|
2708
|
"""SCons.Tool.Subversion.py
Tool-specific initialization for Subversion.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY
# KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
__revision__ = "src/engine/SCons/Tool/Subversion.py 5023 2010/06/14 22:05:46 scons"
import os.path
import SCons.Action
import SCons.Builder
import SCons.Util
def generate(env):
"""Add a Builder factory function and construction variables for
Subversion to an Environment."""
def SubversionFactory(repos, module='', env=env):
""" """
# fail if repos is not an absolute path name?
import SCons.Warnings as W
W.warn(W.DeprecatedSourceCodeWarning, """The Subversion() factory is deprecated and there is no replacement.""")
if module != '':
module = os.path.join(module, '')
act = SCons.Action.Action('$SVNCOM', '$SVNCOMSTR')
return SCons.Builder.Builder(action = act,
env = env,
SVNREPOSITORY = repos,
SVNMODULE = module)
#setattr(env, 'Subversion', SubversionFactory)
env.Subversion = SubversionFactory
env['SVN'] = 'svn'
env['SVNFLAGS'] = SCons.Util.CLVar('')
env['SVNCOM'] = '$SVN $SVNFLAGS cat $SVNREPOSITORY/$SVNMODULE$TARGET > $TARGET'
def exists(env):
return env.Detect('svn')
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set expandtab tabstop=4 shiftwidth=4:
|
mit
|
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jefffohl/nupic
|
external/linux32/lib/python2.6/site-packages/matplotlib/backend_bases.py
|
69
|
69740
|
"""
Abstract base classes define the primitives that renderers and
graphics contexts must implement to serve as a matplotlib backend
:class:`RendererBase`
An abstract base class to handle drawing/rendering operations.
:class:`FigureCanvasBase`
The abstraction layer that separates the
:class:`matplotlib.figure.Figure` from the backend specific
details like a user interface drawing area
:class:`GraphicsContextBase`
An abstract base class that provides color, line styles, etc...
:class:`Event`
The base class for all of the matplotlib event
handling. Derived classes suh as :class:`KeyEvent` and
:class:`MouseEvent` store the meta data like keys and buttons
pressed, x and y locations in pixel and
:class:`~matplotlib.axes.Axes` coordinates.
"""
from __future__ import division
import os, warnings, time
import numpy as np
import matplotlib.cbook as cbook
import matplotlib.colors as colors
import matplotlib.transforms as transforms
import matplotlib.widgets as widgets
from matplotlib import rcParams
class RendererBase:
"""An abstract base class to handle drawing/rendering operations.
The following methods *must* be implemented in the backend:
* :meth:`draw_path`
* :meth:`draw_image`
* :meth:`draw_text`
* :meth:`get_text_width_height_descent`
The following methods *should* be implemented in the backend for
optimization reasons:
* :meth:`draw_markers`
* :meth:`draw_path_collection`
* :meth:`draw_quad_mesh`
"""
def __init__(self):
self._texmanager = None
def open_group(self, s):
"""
Open a grouping element with label *s*. Is only currently used by
:mod:`~matplotlib.backends.backend_svg`
"""
pass
def close_group(self, s):
"""
Close a grouping element with label *s*
Is only currently used by :mod:`~matplotlib.backends.backend_svg`
"""
pass
def draw_path(self, gc, path, transform, rgbFace=None):
"""
Draws a :class:`~matplotlib.path.Path` instance using the
given affine transform.
"""
raise NotImplementedError
def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None):
"""
Draws a marker at each of the vertices in path. This includes
all vertices, including control points on curves. To avoid
that behavior, those vertices should be removed before calling
this function.
*gc*
the :class:`GraphicsContextBase` instance
*marker_trans*
is an affine transform applied to the marker.
*trans*
is an affine transform applied to the path.
This provides a fallback implementation of draw_markers that
makes multiple calls to :meth:`draw_path`. Some backends may
want to override this method in order to draw the marker only
once and reuse it multiple times.
"""
tpath = trans.transform_path(path)
for vertices, codes in tpath.iter_segments():
if len(vertices):
x,y = vertices[-2:]
self.draw_path(gc, marker_path,
marker_trans + transforms.Affine2D().translate(x, y),
rgbFace)
def draw_path_collection(self, master_transform, cliprect, clippath,
clippath_trans, paths, all_transforms, offsets,
offsetTrans, facecolors, edgecolors, linewidths,
linestyles, antialiaseds, urls):
"""
Draws a collection of paths, selecting drawing properties from
the lists *facecolors*, *edgecolors*, *linewidths*,
*linestyles* and *antialiaseds*. *offsets* is a list of
offsets to apply to each of the paths. The offsets in
*offsets* are first transformed by *offsetTrans* before
being applied.
This provides a fallback implementation of
:meth:`draw_path_collection` that makes multiple calls to
draw_path. Some backends may want to override this in order
to render each set of path data only once, and then reference
that path multiple times with the different offsets, colors,
styles etc. The generator methods
:meth:`_iter_collection_raw_paths` and
:meth:`_iter_collection` are provided to help with (and
standardize) the implementation across backends. It is highly
recommended to use those generators, so that changes to the
behavior of :meth:`draw_path_collection` can be made globally.
"""
path_ids = []
for path, transform in self._iter_collection_raw_paths(
master_transform, paths, all_transforms):
path_ids.append((path, transform))
for xo, yo, path_id, gc, rgbFace in self._iter_collection(
path_ids, cliprect, clippath, clippath_trans,
offsets, offsetTrans, facecolors, edgecolors,
linewidths, linestyles, antialiaseds, urls):
path, transform = path_id
transform = transforms.Affine2D(transform.get_matrix()).translate(xo, yo)
self.draw_path(gc, path, transform, rgbFace)
def draw_quad_mesh(self, master_transform, cliprect, clippath,
clippath_trans, meshWidth, meshHeight, coordinates,
offsets, offsetTrans, facecolors, antialiased,
showedges):
"""
This provides a fallback implementation of
:meth:`draw_quad_mesh` that generates paths and then calls
:meth:`draw_path_collection`.
"""
from matplotlib.collections import QuadMesh
paths = QuadMesh.convert_mesh_to_paths(
meshWidth, meshHeight, coordinates)
if showedges:
edgecolors = np.array([[0.0, 0.0, 0.0, 1.0]], np.float_)
linewidths = np.array([1.0], np.float_)
else:
edgecolors = facecolors
linewidths = np.array([0.0], np.float_)
return self.draw_path_collection(
master_transform, cliprect, clippath, clippath_trans,
paths, [], offsets, offsetTrans, facecolors, edgecolors,
linewidths, [], [antialiased], [None])
def _iter_collection_raw_paths(self, master_transform, paths, all_transforms):
"""
This is a helper method (along with :meth:`_iter_collection`) to make
it easier to write a space-efficent :meth:`draw_path_collection`
implementation in a backend.
This method yields all of the base path/transform
combinations, given a master transform, a list of paths and
list of transforms.
The arguments should be exactly what is passed in to
:meth:`draw_path_collection`.
The backend should take each yielded path and transform and
create an object that can be referenced (reused) later.
"""
Npaths = len(paths)
Ntransforms = len(all_transforms)
N = max(Npaths, Ntransforms)
if Npaths == 0:
return
transform = transforms.IdentityTransform()
for i in xrange(N):
path = paths[i % Npaths]
if Ntransforms:
transform = all_transforms[i % Ntransforms]
yield path, transform + master_transform
def _iter_collection(self, path_ids, cliprect, clippath, clippath_trans,
offsets, offsetTrans, facecolors, edgecolors,
linewidths, linestyles, antialiaseds, urls):
"""
This is a helper method (along with
:meth:`_iter_collection_raw_paths`) to make it easier to write
a space-efficent :meth:`draw_path_collection` implementation in a
backend.
This method yields all of the path, offset and graphics
context combinations to draw the path collection. The caller
should already have looped over the results of
:meth:`_iter_collection_raw_paths` to draw this collection.
The arguments should be the same as that passed into
:meth:`draw_path_collection`, with the exception of
*path_ids*, which is a list of arbitrary objects that the
backend will use to reference one of the paths created in the
:meth:`_iter_collection_raw_paths` stage.
Each yielded result is of the form::
xo, yo, path_id, gc, rgbFace
where *xo*, *yo* is an offset; *path_id* is one of the elements of
*path_ids*; *gc* is a graphics context and *rgbFace* is a color to
use for filling the path.
"""
Npaths = len(path_ids)
Noffsets = len(offsets)
N = max(Npaths, Noffsets)
Nfacecolors = len(facecolors)
Nedgecolors = len(edgecolors)
Nlinewidths = len(linewidths)
Nlinestyles = len(linestyles)
Naa = len(antialiaseds)
Nurls = len(urls)
if (Nfacecolors == 0 and Nedgecolors == 0) or Npaths == 0:
return
if Noffsets:
toffsets = offsetTrans.transform(offsets)
gc = self.new_gc()
gc.set_clip_rectangle(cliprect)
if clippath is not None:
clippath = transforms.TransformedPath(clippath, clippath_trans)
gc.set_clip_path(clippath)
if Nfacecolors == 0:
rgbFace = None
if Nedgecolors == 0:
gc.set_linewidth(0.0)
xo, yo = 0, 0
for i in xrange(N):
path_id = path_ids[i % Npaths]
if Noffsets:
xo, yo = toffsets[i % Noffsets]
if Nfacecolors:
rgbFace = facecolors[i % Nfacecolors]
if Nedgecolors:
gc.set_foreground(edgecolors[i % Nedgecolors])
if Nlinewidths:
gc.set_linewidth(linewidths[i % Nlinewidths])
if Nlinestyles:
gc.set_dashes(*linestyles[i % Nlinestyles])
if rgbFace is not None and len(rgbFace)==4:
gc.set_alpha(rgbFace[-1])
rgbFace = rgbFace[:3]
gc.set_antialiased(antialiaseds[i % Naa])
if Nurls:
gc.set_url(urls[i % Nurls])
yield xo, yo, path_id, gc, rgbFace
def get_image_magnification(self):
"""
Get the factor by which to magnify images passed to :meth:`draw_image`.
Allows a backend to have images at a different resolution to other
artists.
"""
return 1.0
def draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None):
"""
Draw the image instance into the current axes;
*x*
is the distance in pixels from the left hand side of the canvas.
*y*
the distance from the origin. That is, if origin is
upper, y is the distance from top. If origin is lower, y
is the distance from bottom
*im*
the :class:`matplotlib._image.Image` instance
*bbox*
a :class:`matplotlib.transforms.Bbox` instance for clipping, or
None
"""
raise NotImplementedError
def option_image_nocomposite(self):
"""
overwrite this method for renderers that do not necessarily
want to rescale and composite raster images. (like SVG)
"""
return False
def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!'):
raise NotImplementedError
def draw_text(self, gc, x, y, s, prop, angle, ismath=False):
"""
Draw the text instance
*gc*
the :class:`GraphicsContextBase` instance
*x*
the x location of the text in display coords
*y*
the y location of the text in display coords
*s*
a :class:`matplotlib.text.Text` instance
*prop*
a :class:`matplotlib.font_manager.FontProperties` instance
*angle*
the rotation angle in degrees
**backend implementers note**
When you are trying to determine if you have gotten your bounding box
right (which is what enables the text layout/alignment to work
properly), it helps to change the line in text.py::
if 0: bbox_artist(self, renderer)
to if 1, and then the actual bounding box will be blotted along with
your text.
"""
raise NotImplementedError
def flipy(self):
"""
Return true if y small numbers are top for renderer Is used
for drawing text (:mod:`matplotlib.text`) and images
(:mod:`matplotlib.image`) only
"""
return True
def get_canvas_width_height(self):
'return the canvas width and height in display coords'
return 1, 1
def get_texmanager(self):
"""
return the :class:`matplotlib.texmanager.TexManager` instance
"""
if self._texmanager is None:
from matplotlib.texmanager import TexManager
self._texmanager = TexManager()
return self._texmanager
def get_text_width_height_descent(self, s, prop, ismath):
"""
get the width and height, and the offset from the bottom to the
baseline (descent), in display coords of the string s with
:class:`~matplotlib.font_manager.FontProperties` prop
"""
raise NotImplementedError
def new_gc(self):
"""
Return an instance of a :class:`GraphicsContextBase`
"""
return GraphicsContextBase()
def points_to_pixels(self, points):
"""
Convert points to display units
*points*
a float or a numpy array of float
return points converted to pixels
You need to override this function (unless your backend
doesn't have a dpi, eg, postscript or svg). Some imaging
systems assume some value for pixels per inch::
points to pixels = points * pixels_per_inch/72.0 * dpi/72.0
"""
return points
def strip_math(self, s):
return cbook.strip_math(s)
def start_rasterizing(self):
pass
def stop_rasterizing(self):
pass
class GraphicsContextBase:
"""
An abstract base class that provides color, line styles, etc...
"""
# a mapping from dash styles to suggested offset, dash pairs
dashd = {
'solid' : (None, None),
'dashed' : (0, (6.0, 6.0)),
'dashdot' : (0, (3.0, 5.0, 1.0, 5.0)),
'dotted' : (0, (1.0, 3.0)),
}
def __init__(self):
self._alpha = 1.0
self._antialiased = 1 # use 0,1 not True, False for extension code
self._capstyle = 'butt'
self._cliprect = None
self._clippath = None
self._dashes = None, None
self._joinstyle = 'miter'
self._linestyle = 'solid'
self._linewidth = 1
self._rgb = (0.0, 0.0, 0.0)
self._hatch = None
self._url = None
self._snap = None
def copy_properties(self, gc):
'Copy properties from gc to self'
self._alpha = gc._alpha
self._antialiased = gc._antialiased
self._capstyle = gc._capstyle
self._cliprect = gc._cliprect
self._clippath = gc._clippath
self._dashes = gc._dashes
self._joinstyle = gc._joinstyle
self._linestyle = gc._linestyle
self._linewidth = gc._linewidth
self._rgb = gc._rgb
self._hatch = gc._hatch
self._url = gc._url
self._snap = gc._snap
def get_alpha(self):
"""
Return the alpha value used for blending - not supported on
all backends
"""
return self._alpha
def get_antialiased(self):
"Return true if the object should try to do antialiased rendering"
return self._antialiased
def get_capstyle(self):
"""
Return the capstyle as a string in ('butt', 'round', 'projecting')
"""
return self._capstyle
def get_clip_rectangle(self):
"""
Return the clip rectangle as a :class:`~matplotlib.transforms.Bbox` instance
"""
return self._cliprect
def get_clip_path(self):
"""
Return the clip path in the form (path, transform), where path
is a :class:`~matplotlib.path.Path` instance, and transform is
an affine transform to apply to the path before clipping.
"""
if self._clippath is not None:
return self._clippath.get_transformed_path_and_affine()
return None, None
def get_dashes(self):
"""
Return the dash information as an offset dashlist tuple.
The dash list is a even size list that gives the ink on, ink
off in pixels.
See p107 of to PostScript `BLUEBOOK
<http://www-cdf.fnal.gov/offline/PostScript/BLUEBOOK.PDF>`_
for more info.
Default value is None
"""
return self._dashes
def get_joinstyle(self):
"""
Return the line join style as one of ('miter', 'round', 'bevel')
"""
return self._joinstyle
def get_linestyle(self, style):
"""
Return the linestyle: one of ('solid', 'dashed', 'dashdot',
'dotted').
"""
return self._linestyle
def get_linewidth(self):
"""
Return the line width in points as a scalar
"""
return self._linewidth
def get_rgb(self):
"""
returns a tuple of three floats from 0-1. color can be a
matlab format string, a html hex color string, or a rgb tuple
"""
return self._rgb
def get_url(self):
"""
returns a url if one is set, None otherwise
"""
return self._url
def get_snap(self):
"""
returns the snap setting which may be:
* True: snap vertices to the nearest pixel center
* False: leave vertices as-is
* None: (auto) If the path contains only rectilinear line
segments, round to the nearest pixel center
"""
return self._snap
def set_alpha(self, alpha):
"""
Set the alpha value used for blending - not supported on
all backends
"""
self._alpha = alpha
def set_antialiased(self, b):
"""
True if object should be drawn with antialiased rendering
"""
# use 0, 1 to make life easier on extension code trying to read the gc
if b: self._antialiased = 1
else: self._antialiased = 0
def set_capstyle(self, cs):
"""
Set the capstyle as a string in ('butt', 'round', 'projecting')
"""
if cs in ('butt', 'round', 'projecting'):
self._capstyle = cs
else:
raise ValueError('Unrecognized cap style. Found %s' % cs)
def set_clip_rectangle(self, rectangle):
"""
Set the clip rectangle with sequence (left, bottom, width, height)
"""
self._cliprect = rectangle
def set_clip_path(self, path):
"""
Set the clip path and transformation. Path should be a
:class:`~matplotlib.transforms.TransformedPath` instance.
"""
assert path is None or isinstance(path, transforms.TransformedPath)
self._clippath = path
def set_dashes(self, dash_offset, dash_list):
"""
Set the dash style for the gc.
*dash_offset*
is the offset (usually 0).
*dash_list*
specifies the on-off sequence as points. ``(None, None)`` specifies a solid line
"""
self._dashes = dash_offset, dash_list
def set_foreground(self, fg, isRGB=False):
"""
Set the foreground color. fg can be a matlab format string, a
html hex color string, an rgb unit tuple, or a float between 0
and 1. In the latter case, grayscale is used.
The :class:`GraphicsContextBase` converts colors to rgb
internally. If you know the color is rgb already, you can set
``isRGB=True`` to avoid the performace hit of the conversion
"""
if isRGB:
self._rgb = fg
else:
self._rgb = colors.colorConverter.to_rgba(fg)
def set_graylevel(self, frac):
"""
Set the foreground color to be a gray level with *frac*
"""
self._rgb = (frac, frac, frac)
def set_joinstyle(self, js):
"""
Set the join style to be one of ('miter', 'round', 'bevel')
"""
if js in ('miter', 'round', 'bevel'):
self._joinstyle = js
else:
raise ValueError('Unrecognized join style. Found %s' % js)
def set_linewidth(self, w):
"""
Set the linewidth in points
"""
self._linewidth = w
def set_linestyle(self, style):
"""
Set the linestyle to be one of ('solid', 'dashed', 'dashdot',
'dotted').
"""
try:
offset, dashes = self.dashd[style]
except:
raise ValueError('Unrecognized linestyle: %s' % style)
self._linestyle = style
self.set_dashes(offset, dashes)
def set_url(self, url):
"""
Sets the url for links in compatible backends
"""
self._url = url
def set_snap(self, snap):
"""
Sets the snap setting which may be:
* True: snap vertices to the nearest pixel center
* False: leave vertices as-is
* None: (auto) If the path contains only rectilinear line
segments, round to the nearest pixel center
"""
self._snap = snap
def set_hatch(self, hatch):
"""
Sets the hatch style for filling
"""
self._hatch = hatch
def get_hatch(self):
"""
Gets the current hatch style
"""
return self._hatch
class Event:
"""
A matplotlib event. Attach additional attributes as defined in
:meth:`FigureCanvasBase.mpl_connect`. The following attributes
are defined and shown with their default values
*name*
the event name
*canvas*
the FigureCanvas instance generating the event
*guiEvent*
the GUI event that triggered the matplotlib event
"""
def __init__(self, name, canvas,guiEvent=None):
self.name = name
self.canvas = canvas
self.guiEvent = guiEvent
class IdleEvent(Event):
"""
An event triggered by the GUI backend when it is idle -- useful
for passive animation
"""
pass
class DrawEvent(Event):
"""
An event triggered by a draw operation on the canvas
In addition to the :class:`Event` attributes, the following event attributes are defined:
*renderer*
the :class:`RendererBase` instance for the draw event
"""
def __init__(self, name, canvas, renderer):
Event.__init__(self, name, canvas)
self.renderer = renderer
class ResizeEvent(Event):
"""
An event triggered by a canvas resize
In addition to the :class:`Event` attributes, the following event attributes are defined:
*width*
width of the canvas in pixels
*height*
height of the canvas in pixels
"""
def __init__(self, name, canvas):
Event.__init__(self, name, canvas)
self.width, self.height = canvas.get_width_height()
class LocationEvent(Event):
"""
A event that has a screen location
The following additional attributes are defined and shown with
their default values
In addition to the :class:`Event` attributes, the following event attributes are defined:
*x*
x position - pixels from left of canvas
*y*
y position - pixels from bottom of canvas
*inaxes*
the :class:`~matplotlib.axes.Axes` instance if mouse is over axes
*xdata*
x coord of mouse in data coords
*ydata*
y coord of mouse in data coords
"""
x = None # x position - pixels from left of canvas
y = None # y position - pixels from right of canvas
inaxes = None # the Axes instance if mouse us over axes
xdata = None # x coord of mouse in data coords
ydata = None # y coord of mouse in data coords
# the last event that was triggered before this one
lastevent = None
def __init__(self, name, canvas, x, y,guiEvent=None):
"""
*x*, *y* in figure coords, 0,0 = bottom, left
"""
Event.__init__(self, name, canvas,guiEvent=guiEvent)
self.x = x
self.y = y
if x is None or y is None:
# cannot check if event was in axes if no x,y info
self.inaxes = None
self._update_enter_leave()
return
# Find all axes containing the mouse
axes_list = [a for a in self.canvas.figure.get_axes() if a.in_axes(self)]
if len(axes_list) == 0: # None found
self.inaxes = None
self._update_enter_leave()
return
elif (len(axes_list) > 1): # Overlap, get the highest zorder
axCmp = lambda _x,_y: cmp(_x.zorder, _y.zorder)
axes_list.sort(axCmp)
self.inaxes = axes_list[-1] # Use the highest zorder
else: # Just found one hit
self.inaxes = axes_list[0]
try:
xdata, ydata = self.inaxes.transData.inverted().transform_point((x, y))
except ValueError:
self.xdata = None
self.ydata = None
else:
self.xdata = xdata
self.ydata = ydata
self._update_enter_leave()
def _update_enter_leave(self):
'process the figure/axes enter leave events'
if LocationEvent.lastevent is not None:
last = LocationEvent.lastevent
if last.inaxes!=self.inaxes:
# process axes enter/leave events
if last.inaxes is not None:
last.canvas.callbacks.process('axes_leave_event', last)
if self.inaxes is not None:
self.canvas.callbacks.process('axes_enter_event', self)
else:
# process a figure enter event
if self.inaxes is not None:
self.canvas.callbacks.process('axes_enter_event', self)
LocationEvent.lastevent = self
class MouseEvent(LocationEvent):
"""
A mouse event ('button_press_event', 'button_release_event', 'scroll_event',
'motion_notify_event').
In addition to the :class:`Event` and :class:`LocationEvent`
attributes, the following attributes are defined:
*button*
button pressed None, 1, 2, 3, 'up', 'down' (up and down are used for scroll events)
*key*
the key pressed: None, chr(range(255), 'shift', 'win', or 'control'
*step*
number of scroll steps (positive for 'up', negative for 'down')
Example usage::
def on_press(event):
print 'you pressed', event.button, event.xdata, event.ydata
cid = fig.canvas.mpl_connect('button_press_event', on_press)
"""
x = None # x position - pixels from left of canvas
y = None # y position - pixels from right of canvas
button = None # button pressed None, 1, 2, 3
inaxes = None # the Axes instance if mouse us over axes
xdata = None # x coord of mouse in data coords
ydata = None # y coord of mouse in data coords
step = None # scroll steps for scroll events
def __init__(self, name, canvas, x, y, button=None, key=None,
step=0, guiEvent=None):
"""
x, y in figure coords, 0,0 = bottom, left
button pressed None, 1, 2, 3, 'up', 'down'
"""
LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
self.button = button
self.key = key
self.step = step
class PickEvent(Event):
"""
a pick event, fired when the user picks a location on the canvas
sufficiently close to an artist.
Attrs: all the :class:`Event` attributes plus
*mouseevent*
the :class:`MouseEvent` that generated the pick
*artist*
the :class:`~matplotlib.artist.Artist` picked
other
extra class dependent attrs -- eg a
:class:`~matplotlib.lines.Line2D` pick may define different
extra attributes than a
:class:`~matplotlib.collections.PatchCollection` pick event
Example usage::
line, = ax.plot(rand(100), 'o', picker=5) # 5 points tolerance
def on_pick(event):
thisline = event.artist
xdata, ydata = thisline.get_data()
ind = event.ind
print 'on pick line:', zip(xdata[ind], ydata[ind])
cid = fig.canvas.mpl_connect('pick_event', on_pick)
"""
def __init__(self, name, canvas, mouseevent, artist, guiEvent=None, **kwargs):
Event.__init__(self, name, canvas, guiEvent)
self.mouseevent = mouseevent
self.artist = artist
self.__dict__.update(kwargs)
class KeyEvent(LocationEvent):
"""
A key event (key press, key release).
Attach additional attributes as defined in
:meth:`FigureCanvasBase.mpl_connect`.
In addition to the :class:`Event` and :class:`LocationEvent`
attributes, the following attributes are defined:
*key*
the key pressed: None, chr(range(255), shift, win, or control
This interface may change slightly when better support for
modifier keys is included.
Example usage::
def on_key(event):
print 'you pressed', event.key, event.xdata, event.ydata
cid = fig.canvas.mpl_connect('key_press_event', on_key)
"""
def __init__(self, name, canvas, key, x=0, y=0, guiEvent=None):
LocationEvent.__init__(self, name, canvas, x, y, guiEvent=guiEvent)
self.key = key
class FigureCanvasBase:
"""
The canvas the figure renders into.
Public attributes
*figure*
A :class:`matplotlib.figure.Figure` instance
"""
events = [
'resize_event',
'draw_event',
'key_press_event',
'key_release_event',
'button_press_event',
'button_release_event',
'scroll_event',
'motion_notify_event',
'pick_event',
'idle_event',
'figure_enter_event',
'figure_leave_event',
'axes_enter_event',
'axes_leave_event'
]
def __init__(self, figure):
figure.set_canvas(self)
self.figure = figure
# a dictionary from event name to a dictionary that maps cid->func
self.callbacks = cbook.CallbackRegistry(self.events)
self.widgetlock = widgets.LockDraw()
self._button = None # the button pressed
self._key = None # the key pressed
self._lastx, self._lasty = None, None
self.button_pick_id = self.mpl_connect('button_press_event',self.pick)
self.scroll_pick_id = self.mpl_connect('scroll_event',self.pick)
if False:
## highlight the artists that are hit
self.mpl_connect('motion_notify_event',self.onHilite)
## delete the artists that are clicked on
#self.mpl_disconnect(self.button_pick_id)
#self.mpl_connect('button_press_event',self.onRemove)
def onRemove(self, ev):
"""
Mouse event processor which removes the top artist
under the cursor. Connect this to the 'mouse_press_event'
using::
canvas.mpl_connect('mouse_press_event',canvas.onRemove)
"""
def sort_artists(artists):
# This depends on stable sort and artists returned
# from get_children in z order.
L = [ (h.zorder, h) for h in artists ]
L.sort()
return [ h for zorder, h in L ]
# Find the top artist under the cursor
under = sort_artists(self.figure.hitlist(ev))
h = None
if under: h = under[-1]
# Try deleting that artist, or its parent if you
# can't delete the artist
while h:
print "Removing",h
if h.remove():
self.draw_idle()
break
parent = None
for p in under:
if h in p.get_children():
parent = p
break
h = parent
def onHilite(self, ev):
"""
Mouse event processor which highlights the artists
under the cursor. Connect this to the 'motion_notify_event'
using::
canvas.mpl_connect('motion_notify_event',canvas.onHilite)
"""
if not hasattr(self,'_active'): self._active = dict()
under = self.figure.hitlist(ev)
enter = [a for a in under if a not in self._active]
leave = [a for a in self._active if a not in under]
print "within:"," ".join([str(x) for x in under])
#print "entering:",[str(a) for a in enter]
#print "leaving:",[str(a) for a in leave]
# On leave restore the captured colour
for a in leave:
if hasattr(a,'get_color'):
a.set_color(self._active[a])
elif hasattr(a,'get_edgecolor'):
a.set_edgecolor(self._active[a][0])
a.set_facecolor(self._active[a][1])
del self._active[a]
# On enter, capture the color and repaint the artist
# with the highlight colour. Capturing colour has to
# be done first in case the parent recolouring affects
# the child.
for a in enter:
if hasattr(a,'get_color'):
self._active[a] = a.get_color()
elif hasattr(a,'get_edgecolor'):
self._active[a] = (a.get_edgecolor(),a.get_facecolor())
else: self._active[a] = None
for a in enter:
if hasattr(a,'get_color'):
a.set_color('red')
elif hasattr(a,'get_edgecolor'):
a.set_edgecolor('red')
a.set_facecolor('lightblue')
else: self._active[a] = None
self.draw_idle()
def pick(self, mouseevent):
if not self.widgetlock.locked():
self.figure.pick(mouseevent)
def blit(self, bbox=None):
"""
blit the canvas in bbox (default entire canvas)
"""
pass
def resize(self, w, h):
"""
set the canvas size in pixels
"""
pass
def draw_event(self, renderer):
"""
This method will be call all functions connected to the
'draw_event' with a :class:`DrawEvent`
"""
s = 'draw_event'
event = DrawEvent(s, self, renderer)
self.callbacks.process(s, event)
def resize_event(self):
"""
This method will be call all functions connected to the
'resize_event' with a :class:`ResizeEvent`
"""
s = 'resize_event'
event = ResizeEvent(s, self)
self.callbacks.process(s, event)
def key_press_event(self, key, guiEvent=None):
"""
This method will be call all functions connected to the
'key_press_event' with a :class:`KeyEvent`
"""
self._key = key
s = 'key_press_event'
event = KeyEvent(s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
self.callbacks.process(s, event)
def key_release_event(self, key, guiEvent=None):
"""
This method will be call all functions connected to the
'key_release_event' with a :class:`KeyEvent`
"""
s = 'key_release_event'
event = KeyEvent(s, self, key, self._lastx, self._lasty, guiEvent=guiEvent)
self.callbacks.process(s, event)
self._key = None
def pick_event(self, mouseevent, artist, **kwargs):
"""
This method will be called by artists who are picked and will
fire off :class:`PickEvent` callbacks registered listeners
"""
s = 'pick_event'
event = PickEvent(s, self, mouseevent, artist, **kwargs)
self.callbacks.process(s, event)
def scroll_event(self, x, y, step, guiEvent=None):
"""
Backend derived classes should call this function on any
scroll wheel event. x,y are the canvas coords: 0,0 is lower,
left. button and key are as defined in MouseEvent.
This method will be call all functions connected to the
'scroll_event' with a :class:`MouseEvent` instance.
"""
if step >= 0:
self._button = 'up'
else:
self._button = 'down'
s = 'scroll_event'
mouseevent = MouseEvent(s, self, x, y, self._button, self._key,
step=step, guiEvent=guiEvent)
self.callbacks.process(s, mouseevent)
def button_press_event(self, x, y, button, guiEvent=None):
"""
Backend derived classes should call this function on any mouse
button press. x,y are the canvas coords: 0,0 is lower, left.
button and key are as defined in :class:`MouseEvent`.
This method will be call all functions connected to the
'button_press_event' with a :class:`MouseEvent` instance.
"""
self._button = button
s = 'button_press_event'
mouseevent = MouseEvent(s, self, x, y, button, self._key, guiEvent=guiEvent)
self.callbacks.process(s, mouseevent)
def button_release_event(self, x, y, button, guiEvent=None):
"""
Backend derived classes should call this function on any mouse
button release.
*x*
the canvas coordinates where 0=left
*y*
the canvas coordinates where 0=bottom
*guiEvent*
the native UI event that generated the mpl event
This method will be call all functions connected to the
'button_release_event' with a :class:`MouseEvent` instance.
"""
s = 'button_release_event'
event = MouseEvent(s, self, x, y, button, self._key, guiEvent=guiEvent)
self.callbacks.process(s, event)
self._button = None
def motion_notify_event(self, x, y, guiEvent=None):
"""
Backend derived classes should call this function on any
motion-notify-event.
*x*
the canvas coordinates where 0=left
*y*
the canvas coordinates where 0=bottom
*guiEvent*
the native UI event that generated the mpl event
This method will be call all functions connected to the
'motion_notify_event' with a :class:`MouseEvent` instance.
"""
self._lastx, self._lasty = x, y
s = 'motion_notify_event'
event = MouseEvent(s, self, x, y, self._button, self._key,
guiEvent=guiEvent)
self.callbacks.process(s, event)
def leave_notify_event(self, guiEvent=None):
"""
Backend derived classes should call this function when leaving
canvas
*guiEvent*
the native UI event that generated the mpl event
"""
self.callbacks.process('figure_leave_event', LocationEvent.lastevent)
LocationEvent.lastevent = None
def enter_notify_event(self, guiEvent=None):
"""
Backend derived classes should call this function when entering
canvas
*guiEvent*
the native UI event that generated the mpl event
"""
event = Event('figure_enter_event', self, guiEvent)
self.callbacks.process('figure_enter_event', event)
def idle_event(self, guiEvent=None):
'call when GUI is idle'
s = 'idle_event'
event = IdleEvent(s, self, guiEvent=guiEvent)
self.callbacks.process(s, event)
def draw(self, *args, **kwargs):
"""
Render the :class:`~matplotlib.figure.Figure`
"""
pass
def draw_idle(self, *args, **kwargs):
"""
:meth:`draw` only if idle; defaults to draw but backends can overrride
"""
self.draw(*args, **kwargs)
def draw_cursor(self, event):
"""
Draw a cursor in the event.axes if inaxes is not None. Use
native GUI drawing for efficiency if possible
"""
pass
def get_width_height(self):
"""
return the figure width and height in points or pixels
(depending on the backend), truncated to integers
"""
return int(self.figure.bbox.width), int(self.figure.bbox.height)
filetypes = {
'emf': 'Enhanced Metafile',
'eps': 'Encapsulated Postscript',
'pdf': 'Portable Document Format',
'png': 'Portable Network Graphics',
'ps' : 'Postscript',
'raw': 'Raw RGBA bitmap',
'rgba': 'Raw RGBA bitmap',
'svg': 'Scalable Vector Graphics',
'svgz': 'Scalable Vector Graphics'
}
# All of these print_* functions do a lazy import because
# a) otherwise we'd have cyclical imports, since all of these
# classes inherit from FigureCanvasBase
# b) so we don't import a bunch of stuff the user may never use
def print_emf(self, *args, **kwargs):
from backends.backend_emf import FigureCanvasEMF # lazy import
emf = self.switch_backends(FigureCanvasEMF)
return emf.print_emf(*args, **kwargs)
def print_eps(self, *args, **kwargs):
from backends.backend_ps import FigureCanvasPS # lazy import
ps = self.switch_backends(FigureCanvasPS)
return ps.print_eps(*args, **kwargs)
def print_pdf(self, *args, **kwargs):
from backends.backend_pdf import FigureCanvasPdf # lazy import
pdf = self.switch_backends(FigureCanvasPdf)
return pdf.print_pdf(*args, **kwargs)
def print_png(self, *args, **kwargs):
from backends.backend_agg import FigureCanvasAgg # lazy import
agg = self.switch_backends(FigureCanvasAgg)
return agg.print_png(*args, **kwargs)
def print_ps(self, *args, **kwargs):
from backends.backend_ps import FigureCanvasPS # lazy import
ps = self.switch_backends(FigureCanvasPS)
return ps.print_ps(*args, **kwargs)
def print_raw(self, *args, **kwargs):
from backends.backend_agg import FigureCanvasAgg # lazy import
agg = self.switch_backends(FigureCanvasAgg)
return agg.print_raw(*args, **kwargs)
print_bmp = print_rgb = print_raw
def print_svg(self, *args, **kwargs):
from backends.backend_svg import FigureCanvasSVG # lazy import
svg = self.switch_backends(FigureCanvasSVG)
return svg.print_svg(*args, **kwargs)
def print_svgz(self, *args, **kwargs):
from backends.backend_svg import FigureCanvasSVG # lazy import
svg = self.switch_backends(FigureCanvasSVG)
return svg.print_svgz(*args, **kwargs)
def get_supported_filetypes(self):
return self.filetypes
def get_supported_filetypes_grouped(self):
groupings = {}
for ext, name in self.filetypes.items():
groupings.setdefault(name, []).append(ext)
groupings[name].sort()
return groupings
def print_figure(self, filename, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', format=None, **kwargs):
"""
Render the figure to hardcopy. Set the figure patch face and edge
colors. This is useful because some of the GUIs have a gray figure
face color background and you'll probably want to override this on
hardcopy.
Arguments are:
*filename*
can also be a file object on image backends
*orientation*
only currently applies to PostScript printing.
*dpi*
the dots per inch to save the figure in; if None, use savefig.dpi
*facecolor*
the facecolor of the figure
*edgecolor*
the edgecolor of the figure
*orientation* '
landscape' | 'portrait' (not supported on all backends)
*format*
when set, forcibly set the file format to save to
"""
if format is None:
if cbook.is_string_like(filename):
format = os.path.splitext(filename)[1][1:]
if format is None or format == '':
format = self.get_default_filetype()
if cbook.is_string_like(filename):
filename = filename.rstrip('.') + '.' + format
format = format.lower()
method_name = 'print_%s' % format
if (format not in self.filetypes or
not hasattr(self, method_name)):
formats = self.filetypes.keys()
formats.sort()
raise ValueError(
'Format "%s" is not supported.\n'
'Supported formats: '
'%s.' % (format, ', '.join(formats)))
if dpi is None:
dpi = rcParams['savefig.dpi']
origDPI = self.figure.dpi
origfacecolor = self.figure.get_facecolor()
origedgecolor = self.figure.get_edgecolor()
self.figure.dpi = dpi
self.figure.set_facecolor(facecolor)
self.figure.set_edgecolor(edgecolor)
try:
result = getattr(self, method_name)(
filename,
dpi=dpi,
facecolor=facecolor,
edgecolor=edgecolor,
orientation=orientation,
**kwargs)
finally:
self.figure.dpi = origDPI
self.figure.set_facecolor(origfacecolor)
self.figure.set_edgecolor(origedgecolor)
self.figure.set_canvas(self)
#self.figure.canvas.draw() ## seems superfluous
return result
def get_default_filetype(self):
raise NotImplementedError
def set_window_title(self, title):
"""
Set the title text of the window containing the figure. Note that
this has no effect if there is no window (eg, a PS backend).
"""
if hasattr(self, "manager"):
self.manager.set_window_title(title)
def switch_backends(self, FigureCanvasClass):
"""
instantiate an instance of FigureCanvasClass
This is used for backend switching, eg, to instantiate a
FigureCanvasPS from a FigureCanvasGTK. Note, deep copying is
not done, so any changes to one of the instances (eg, setting
figure size or line props), will be reflected in the other
"""
newCanvas = FigureCanvasClass(self.figure)
return newCanvas
def mpl_connect(self, s, func):
"""
Connect event with string *s* to *func*. The signature of *func* is::
def func(event)
where event is a :class:`matplotlib.backend_bases.Event`. The
following events are recognized
- 'button_press_event'
- 'button_release_event'
- 'draw_event'
- 'key_press_event'
- 'key_release_event'
- 'motion_notify_event'
- 'pick_event'
- 'resize_event'
- 'scroll_event'
For the location events (button and key press/release), if the
mouse is over the axes, the variable ``event.inaxes`` will be
set to the :class:`~matplotlib.axes.Axes` the event occurs is
over, and additionally, the variables ``event.xdata`` and
``event.ydata`` will be defined. This is the mouse location
in data coords. See
:class:`~matplotlib.backend_bases.KeyEvent` and
:class:`~matplotlib.backend_bases.MouseEvent` for more info.
Return value is a connection id that can be used with
:meth:`~matplotlib.backend_bases.Event.mpl_disconnect`.
Example usage::
def on_press(event):
print 'you pressed', event.button, event.xdata, event.ydata
cid = canvas.mpl_connect('button_press_event', on_press)
"""
return self.callbacks.connect(s, func)
def mpl_disconnect(self, cid):
"""
disconnect callback id cid
Example usage::
cid = canvas.mpl_connect('button_press_event', on_press)
#...later
canvas.mpl_disconnect(cid)
"""
return self.callbacks.disconnect(cid)
def flush_events(self):
"""
Flush the GUI events for the figure. Implemented only for
backends with GUIs.
"""
raise NotImplementedError
def start_event_loop(self,timeout):
"""
Start an event loop. This is used to start a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events. This should not be
confused with the main GUI event loop, which is always running
and has nothing to do with this.
This is implemented only for backends with GUIs.
"""
raise NotImplementedError
def stop_event_loop(self):
"""
Stop an event loop. This is used to stop a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events.
This is implemented only for backends with GUIs.
"""
raise NotImplementedError
def start_event_loop_default(self,timeout=0):
"""
Start an event loop. This is used to start a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events. This should not be
confused with the main GUI event loop, which is always running
and has nothing to do with this.
This function provides default event loop functionality based
on time.sleep that is meant to be used until event loop
functions for each of the GUI backends can be written. As
such, it throws a deprecated warning.
Call signature::
start_event_loop_default(self,timeout=0)
This call blocks until a callback function triggers
stop_event_loop() or *timeout* is reached. If *timeout* is
<=0, never timeout.
"""
str = "Using default event loop until function specific"
str += " to this GUI is implemented"
warnings.warn(str,DeprecationWarning)
if timeout <= 0: timeout = np.inf
timestep = 0.01
counter = 0
self._looping = True
while self._looping and counter*timestep < timeout:
self.flush_events()
time.sleep(timestep)
counter += 1
def stop_event_loop_default(self):
"""
Stop an event loop. This is used to stop a blocking event
loop so that interactive functions, such as ginput and
waitforbuttonpress, can wait for events.
Call signature::
stop_event_loop_default(self)
"""
self._looping = False
class FigureManagerBase:
"""
Helper class for matlab mode, wraps everything up into a neat bundle
Public attibutes:
*canvas*
A :class:`FigureCanvasBase` instance
*num*
The figure nuamber
"""
def __init__(self, canvas, num):
self.canvas = canvas
canvas.manager = self # store a pointer to parent
self.num = num
self.canvas.mpl_connect('key_press_event', self.key_press)
def destroy(self):
pass
def full_screen_toggle (self):
pass
def resize(self, w, h):
'For gui backends: resize window in pixels'
pass
def key_press(self, event):
# these bindings happen whether you are over an axes or not
#if event.key == 'q':
# self.destroy() # how cruel to have to destroy oneself!
# return
if event.key == 'f':
self.full_screen_toggle()
# *h*ome or *r*eset mnemonic
elif event.key == 'h' or event.key == 'r' or event.key == "home":
self.canvas.toolbar.home()
# c and v to enable left handed quick navigation
elif event.key == 'left' or event.key == 'c' or event.key == 'backspace':
self.canvas.toolbar.back()
elif event.key == 'right' or event.key == 'v':
self.canvas.toolbar.forward()
# *p*an mnemonic
elif event.key == 'p':
self.canvas.toolbar.pan()
# z*o*om mnemonic
elif event.key == 'o':
self.canvas.toolbar.zoom()
elif event.key == 's':
self.canvas.toolbar.save_figure(self.canvas.toolbar)
if event.inaxes is None:
return
# the mouse has to be over an axes to trigger these
if event.key == 'g':
event.inaxes.grid()
self.canvas.draw()
elif event.key == 'l':
ax = event.inaxes
scale = ax.get_yscale()
if scale=='log':
ax.set_yscale('linear')
ax.figure.canvas.draw()
elif scale=='linear':
ax.set_yscale('log')
ax.figure.canvas.draw()
elif event.key is not None and (event.key.isdigit() and event.key!='0') or event.key=='a':
# 'a' enables all axes
if event.key!='a':
n=int(event.key)-1
for i, a in enumerate(self.canvas.figure.get_axes()):
if event.x is not None and event.y is not None and a.in_axes(event):
if event.key=='a':
a.set_navigate(True)
else:
a.set_navigate(i==n)
def show_popup(self, msg):
"""
Display message in a popup -- GUI only
"""
pass
def set_window_title(self, title):
"""
Set the title text of the window containing the figure. Note that
this has no effect if there is no window (eg, a PS backend).
"""
pass
# cursors
class Cursors: #namespace
HAND, POINTER, SELECT_REGION, MOVE = range(4)
cursors = Cursors()
class NavigationToolbar2:
"""
Base class for the navigation cursor, version 2
backends must implement a canvas that handles connections for
'button_press_event' and 'button_release_event'. See
:meth:`FigureCanvasBase.mpl_connect` for more information
They must also define
:meth:`save_figure`
save the current figure
:meth:`set_cursor`
if you want the pointer icon to change
:meth:`_init_toolbar`
create your toolbar widget
:meth:`draw_rubberband` (optional)
draw the zoom to rect "rubberband" rectangle
:meth:`press` (optional)
whenever a mouse button is pressed, you'll be notified with
the event
:meth:`release` (optional)
whenever a mouse button is released, you'll be notified with
the event
:meth:`dynamic_update` (optional)
dynamically update the window while navigating
:meth:`set_message` (optional)
display message
:meth:`set_history_buttons` (optional)
you can change the history back / forward buttons to
indicate disabled / enabled state.
That's it, we'll do the rest!
"""
def __init__(self, canvas):
self.canvas = canvas
canvas.toolbar = self
# a dict from axes index to a list of view limits
self._views = cbook.Stack()
self._positions = cbook.Stack() # stack of subplot positions
self._xypress = None # the location and axis info at the time of the press
self._idPress = None
self._idRelease = None
self._active = None
self._lastCursor = None
self._init_toolbar()
self._idDrag=self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
self._button_pressed = None # determined by the button pressed at start
self.mode = '' # a mode string for the status bar
self.set_history_buttons()
def set_message(self, s):
'display a message on toolbar or in status bar'
pass
def back(self, *args):
'move back up the view lim stack'
self._views.back()
self._positions.back()
self.set_history_buttons()
self._update_view()
def dynamic_update(self):
pass
def draw_rubberband(self, event, x0, y0, x1, y1):
'draw a rectangle rubberband to indicate zoom limits'
pass
def forward(self, *args):
'move forward in the view lim stack'
self._views.forward()
self._positions.forward()
self.set_history_buttons()
self._update_view()
def home(self, *args):
'restore the original view'
self._views.home()
self._positions.home()
self.set_history_buttons()
self._update_view()
def _init_toolbar(self):
"""
This is where you actually build the GUI widgets (called by
__init__). The icons ``home.xpm``, ``back.xpm``, ``forward.xpm``,
``hand.xpm``, ``zoom_to_rect.xpm`` and ``filesave.xpm`` are standard
across backends (there are ppm versions in CVS also).
You just need to set the callbacks
home : self.home
back : self.back
forward : self.forward
hand : self.pan
zoom_to_rect : self.zoom
filesave : self.save_figure
You only need to define the last one - the others are in the base
class implementation.
"""
raise NotImplementedError
def mouse_move(self, event):
#print 'mouse_move', event.button
if not event.inaxes or not self._active:
if self._lastCursor != cursors.POINTER:
self.set_cursor(cursors.POINTER)
self._lastCursor = cursors.POINTER
else:
if self._active=='ZOOM':
if self._lastCursor != cursors.SELECT_REGION:
self.set_cursor(cursors.SELECT_REGION)
self._lastCursor = cursors.SELECT_REGION
if self._xypress:
x, y = event.x, event.y
lastx, lasty, a, ind, lim, trans = self._xypress[0]
self.draw_rubberband(event, x, y, lastx, lasty)
elif (self._active=='PAN' and
self._lastCursor != cursors.MOVE):
self.set_cursor(cursors.MOVE)
self._lastCursor = cursors.MOVE
if event.inaxes and event.inaxes.get_navigate():
try: s = event.inaxes.format_coord(event.xdata, event.ydata)
except ValueError: pass
except OverflowError: pass
else:
if len(self.mode):
self.set_message('%s : %s' % (self.mode, s))
else:
self.set_message(s)
else: self.set_message(self.mode)
def pan(self,*args):
'Activate the pan/zoom tool. pan with left button, zoom with right'
# set the pointer icon and button press funcs to the
# appropriate callbacks
if self._active == 'PAN':
self._active = None
else:
self._active = 'PAN'
if self._idPress is not None:
self._idPress = self.canvas.mpl_disconnect(self._idPress)
self.mode = ''
if self._idRelease is not None:
self._idRelease = self.canvas.mpl_disconnect(self._idRelease)
self.mode = ''
if self._active:
self._idPress = self.canvas.mpl_connect(
'button_press_event', self.press_pan)
self._idRelease = self.canvas.mpl_connect(
'button_release_event', self.release_pan)
self.mode = 'pan/zoom mode'
self.canvas.widgetlock(self)
else:
self.canvas.widgetlock.release(self)
for a in self.canvas.figure.get_axes():
a.set_navigate_mode(self._active)
self.set_message(self.mode)
def press(self, event):
'this will be called whenver a mouse button is pressed'
pass
def press_pan(self, event):
'the press mouse button in pan/zoom mode callback'
if event.button == 1:
self._button_pressed=1
elif event.button == 3:
self._button_pressed=3
else:
self._button_pressed=None
return
x, y = event.x, event.y
# push the current view to define home if stack is empty
if self._views.empty(): self.push_current()
self._xypress=[]
for i, a in enumerate(self.canvas.figure.get_axes()):
if x is not None and y is not None and a.in_axes(event) and a.get_navigate():
a.start_pan(x, y, event.button)
self._xypress.append((a, i))
self.canvas.mpl_disconnect(self._idDrag)
self._idDrag=self.canvas.mpl_connect('motion_notify_event', self.drag_pan)
self.press(event)
def press_zoom(self, event):
'the press mouse button in zoom to rect mode callback'
if event.button == 1:
self._button_pressed=1
elif event.button == 3:
self._button_pressed=3
else:
self._button_pressed=None
return
x, y = event.x, event.y
# push the current view to define home if stack is empty
if self._views.empty(): self.push_current()
self._xypress=[]
for i, a in enumerate(self.canvas.figure.get_axes()):
if x is not None and y is not None and a.in_axes(event) \
and a.get_navigate() and a.can_zoom():
self._xypress.append(( x, y, a, i, a.viewLim.frozen(), a.transData.frozen()))
self.press(event)
def push_current(self):
'push the current view limits and position onto the stack'
lims = []; pos = []
for a in self.canvas.figure.get_axes():
xmin, xmax = a.get_xlim()
ymin, ymax = a.get_ylim()
lims.append( (xmin, xmax, ymin, ymax) )
# Store both the original and modified positions
pos.append( (
a.get_position(True).frozen(),
a.get_position().frozen() ) )
self._views.push(lims)
self._positions.push(pos)
self.set_history_buttons()
def release(self, event):
'this will be called whenever mouse button is released'
pass
def release_pan(self, event):
'the release mouse button callback in pan/zoom mode'
self.canvas.mpl_disconnect(self._idDrag)
self._idDrag=self.canvas.mpl_connect('motion_notify_event', self.mouse_move)
for a, ind in self._xypress:
a.end_pan()
if not self._xypress: return
self._xypress = []
self._button_pressed=None
self.push_current()
self.release(event)
self.draw()
def drag_pan(self, event):
'the drag callback in pan/zoom mode'
for a, ind in self._xypress:
#safer to use the recorded button at the press than current button:
#multiple button can get pressed during motion...
a.drag_pan(self._button_pressed, event.key, event.x, event.y)
self.dynamic_update()
def release_zoom(self, event):
'the release mouse button callback in zoom to rect mode'
if not self._xypress: return
last_a = []
for cur_xypress in self._xypress:
x, y = event.x, event.y
lastx, lasty, a, ind, lim, trans = cur_xypress
# ignore singular clicks - 5 pixels is a threshold
if abs(x-lastx)<5 or abs(y-lasty)<5:
self._xypress = None
self.release(event)
self.draw()
return
x0, y0, x1, y1 = lim.extents
# zoom to rect
inverse = a.transData.inverted()
lastx, lasty = inverse.transform_point( (lastx, lasty) )
x, y = inverse.transform_point( (x, y) )
Xmin,Xmax=a.get_xlim()
Ymin,Ymax=a.get_ylim()
# detect twinx,y axes and avoid double zooming
twinx, twiny = False, False
if last_a:
for la in last_a:
if a.get_shared_x_axes().joined(a,la): twinx=True
if a.get_shared_y_axes().joined(a,la): twiny=True
last_a.append(a)
if twinx:
x0, x1 = Xmin, Xmax
else:
if Xmin < Xmax:
if x<lastx: x0, x1 = x, lastx
else: x0, x1 = lastx, x
if x0 < Xmin: x0=Xmin
if x1 > Xmax: x1=Xmax
else:
if x>lastx: x0, x1 = x, lastx
else: x0, x1 = lastx, x
if x0 > Xmin: x0=Xmin
if x1 < Xmax: x1=Xmax
if twiny:
y0, y1 = Ymin, Ymax
else:
if Ymin < Ymax:
if y<lasty: y0, y1 = y, lasty
else: y0, y1 = lasty, y
if y0 < Ymin: y0=Ymin
if y1 > Ymax: y1=Ymax
else:
if y>lasty: y0, y1 = y, lasty
else: y0, y1 = lasty, y
if y0 > Ymin: y0=Ymin
if y1 < Ymax: y1=Ymax
if self._button_pressed == 1:
a.set_xlim((x0, x1))
a.set_ylim((y0, y1))
elif self._button_pressed == 3:
if a.get_xscale()=='log':
alpha=np.log(Xmax/Xmin)/np.log(x1/x0)
rx1=pow(Xmin/x0,alpha)*Xmin
rx2=pow(Xmax/x0,alpha)*Xmin
else:
alpha=(Xmax-Xmin)/(x1-x0)
rx1=alpha*(Xmin-x0)+Xmin
rx2=alpha*(Xmax-x0)+Xmin
if a.get_yscale()=='log':
alpha=np.log(Ymax/Ymin)/np.log(y1/y0)
ry1=pow(Ymin/y0,alpha)*Ymin
ry2=pow(Ymax/y0,alpha)*Ymin
else:
alpha=(Ymax-Ymin)/(y1-y0)
ry1=alpha*(Ymin-y0)+Ymin
ry2=alpha*(Ymax-y0)+Ymin
a.set_xlim((rx1, rx2))
a.set_ylim((ry1, ry2))
self.draw()
self._xypress = None
self._button_pressed = None
self.push_current()
self.release(event)
def draw(self):
'redraw the canvases, update the locators'
for a in self.canvas.figure.get_axes():
xaxis = getattr(a, 'xaxis', None)
yaxis = getattr(a, 'yaxis', None)
locators = []
if xaxis is not None:
locators.append(xaxis.get_major_locator())
locators.append(xaxis.get_minor_locator())
if yaxis is not None:
locators.append(yaxis.get_major_locator())
locators.append(yaxis.get_minor_locator())
for loc in locators:
loc.refresh()
self.canvas.draw()
def _update_view(self):
'''update the viewlim and position from the view and
position stack for each axes
'''
lims = self._views()
if lims is None: return
pos = self._positions()
if pos is None: return
for i, a in enumerate(self.canvas.figure.get_axes()):
xmin, xmax, ymin, ymax = lims[i]
a.set_xlim((xmin, xmax))
a.set_ylim((ymin, ymax))
# Restore both the original and modified positions
a.set_position( pos[i][0], 'original' )
a.set_position( pos[i][1], 'active' )
self.draw()
def save_figure(self, *args):
'save the current figure'
raise NotImplementedError
def set_cursor(self, cursor):
"""
Set the current cursor to one of the :class:`Cursors`
enums values
"""
pass
def update(self):
'reset the axes stack'
self._views.clear()
self._positions.clear()
self.set_history_buttons()
def zoom(self, *args):
'activate zoom to rect mode'
if self._active == 'ZOOM':
self._active = None
else:
self._active = 'ZOOM'
if self._idPress is not None:
self._idPress=self.canvas.mpl_disconnect(self._idPress)
self.mode = ''
if self._idRelease is not None:
self._idRelease=self.canvas.mpl_disconnect(self._idRelease)
self.mode = ''
if self._active:
self._idPress = self.canvas.mpl_connect('button_press_event', self.press_zoom)
self._idRelease = self.canvas.mpl_connect('button_release_event', self.release_zoom)
self.mode = 'Zoom to rect mode'
self.canvas.widgetlock(self)
else:
self.canvas.widgetlock.release(self)
for a in self.canvas.figure.get_axes():
a.set_navigate_mode(self._active)
self.set_message(self.mode)
def set_history_buttons(self):
'enable or disable back/forward button'
pass
|
gpl-3.0
|
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] |
songfj/calibre
|
src/calibre/ebooks/lrf/__init__.py
|
22
|
4485
|
__license__ = 'GPL v3'
__copyright__ = '2008, Kovid Goyal <kovid at kovidgoyal.net>'
"""
This package contains logic to read and write LRF files.
The LRF file format is documented at U{http://www.sven.de/librie/Librie/LrfFormat}.
"""
from calibre.ebooks.lrf.pylrs.pylrs import Book as _Book
from calibre.ebooks.lrf.pylrs.pylrs import TextBlock, Header, \
TextStyle, BlockStyle
from calibre.ebooks.lrf.fonts import FONT_FILE_MAP
from calibre.ebooks import ConversionError
__docformat__ = "epytext"
class LRFParseError(Exception):
pass
class PRS500_PROFILE(object):
screen_width = 600
screen_height = 775
dpi = 166
# Number of pixels to subtract from screen_height when calculating height of text area
fudge = 0
font_size = 10 #: Default (in pt)
parindent = 10 #: Default (in pt)
line_space = 1.2 #: Default (in pt)
header_font_size = 6 #: In pt
header_height = 30 #: In px
default_fonts = { 'sans': "Swis721 BT Roman", 'mono': "Courier10 BT Roman",
'serif': "Dutch801 Rm BT Roman"}
name = 'prs500'
def find_custom_fonts(options, logger):
from calibre.utils.fonts.scanner import font_scanner
fonts = {'serif' : None, 'sans' : None, 'mono' : None}
def family(cmd):
return cmd.split(',')[-1].strip()
if options.serif_family:
f = family(options.serif_family)
fonts['serif'] = font_scanner.legacy_fonts_for_family(f)
if not fonts['serif']:
logger.warn('Unable to find serif family %s'%f)
if options.sans_family:
f = family(options.sans_family)
fonts['sans'] = font_scanner.legacy_fonts_for_family(f)
if not fonts['sans']:
logger.warn('Unable to find sans family %s'%f)
if options.mono_family:
f = family(options.mono_family)
fonts['mono'] = font_scanner.legacy_fonts_for_family(f)
if not fonts['mono']:
logger.warn('Unable to find mono family %s'%f)
return fonts
def Book(options, logger, font_delta=0, header=None,
profile=PRS500_PROFILE, **settings):
from uuid import uuid4
ps = {}
ps['topmargin'] = options.top_margin
ps['evensidemargin'] = options.left_margin
ps['oddsidemargin'] = options.left_margin
ps['textwidth'] = profile.screen_width - (options.left_margin + options.right_margin)
ps['textheight'] = profile.screen_height - (options.top_margin + options.bottom_margin) \
- profile.fudge
if header:
hdr = Header()
hb = TextBlock(textStyle=TextStyle(align='foot',
fontsize=int(profile.header_font_size*10)),
blockStyle=BlockStyle(blockwidth=ps['textwidth']))
hb.append(header)
hdr.PutObj(hb)
ps['headheight'] = profile.header_height
ps['headsep'] = options.header_separation
ps['header'] = hdr
ps['topmargin'] = 0
ps['textheight'] = profile.screen_height - (options.bottom_margin + ps['topmargin']) \
- ps['headheight'] - ps['headsep'] - profile.fudge
fontsize = int(10*profile.font_size+font_delta*20)
baselineskip = fontsize + 20
fonts = find_custom_fonts(options, logger)
tsd = dict(fontsize=fontsize,
parindent=int(10*profile.parindent),
linespace=int(10*profile.line_space),
baselineskip=baselineskip,
wordspace=10*options.wordspace)
if fonts['serif'] and fonts['serif'].has_key('normal'):
tsd['fontfacename'] = fonts['serif']['normal'][1]
book = _Book(textstyledefault=tsd,
pagestyledefault=ps,
blockstyledefault=dict(blockwidth=ps['textwidth']),
bookid=uuid4().hex,
**settings)
for family in fonts.keys():
if fonts[family]:
for font in fonts[family].values():
book.embed_font(*font)
FONT_FILE_MAP[font[1]] = font[0]
for family in ['serif', 'sans', 'mono']:
if not fonts[family]:
fonts[family] = { 'normal' : (None, profile.default_fonts[family]) }
elif not fonts[family].has_key('normal'):
raise ConversionError, 'Could not find the normal version of the ' + family + ' font'
return book, fonts
|
gpl-3.0
|
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gltn/stdm
|
stdm/third_party/migrate/changeset/databases/postgres.py
|
140
|
1129
|
"""
`PostgreSQL`_ database specific implementations of changeset classes.
.. _`PostgreSQL`: http://www.postgresql.org/
"""
from migrate.changeset import ansisql
from sqlalchemy.databases import postgresql as sa_base
PGSchemaGenerator = sa_base.PGDDLCompiler
class PGColumnGenerator(PGSchemaGenerator, ansisql.ANSIColumnGenerator):
"""PostgreSQL column generator implementation."""
pass
class PGColumnDropper(ansisql.ANSIColumnDropper):
"""PostgreSQL column dropper implementation."""
pass
class PGSchemaChanger(ansisql.ANSISchemaChanger):
"""PostgreSQL schema changer implementation."""
pass
class PGConstraintGenerator(ansisql.ANSIConstraintGenerator):
"""PostgreSQL constraint generator implementation."""
pass
class PGConstraintDropper(ansisql.ANSIConstraintDropper):
"""PostgreSQL constaint dropper implementation."""
pass
class PGDialect(ansisql.ANSIDialect):
columngenerator = PGColumnGenerator
columndropper = PGColumnDropper
schemachanger = PGSchemaChanger
constraintgenerator = PGConstraintGenerator
constraintdropper = PGConstraintDropper
|
gpl-2.0
|
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Numel2020/NUMEL-Transitions
|
node_modules/node-gyp/gyp/pylib/gyp/MSVSNew.py
|
1835
|
12124
|
# Copyright (c) 2012 Google Inc. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""New implementation of Visual Studio project generation."""
import os
import random
import gyp.common
# hashlib is supplied as of Python 2.5 as the replacement interface for md5
# and other secure hashes. In 2.6, md5 is deprecated. Import hashlib if
# available, avoiding a deprecation warning under 2.6. Import md5 otherwise,
# preserving 2.4 compatibility.
try:
import hashlib
_new_md5 = hashlib.md5
except ImportError:
import md5
_new_md5 = md5.new
# Initialize random number generator
random.seed()
# GUIDs for project types
ENTRY_TYPE_GUIDS = {
'project': '{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}',
'folder': '{2150E333-8FDC-42A3-9474-1A3956D46DE8}',
}
#------------------------------------------------------------------------------
# Helper functions
def MakeGuid(name, seed='msvs_new'):
"""Returns a GUID for the specified target name.
Args:
name: Target name.
seed: Seed for MD5 hash.
Returns:
A GUID-line string calculated from the name and seed.
This generates something which looks like a GUID, but depends only on the
name and seed. This means the same name/seed will always generate the same
GUID, so that projects and solutions which refer to each other can explicitly
determine the GUID to refer to explicitly. It also means that the GUID will
not change when the project for a target is rebuilt.
"""
# Calculate a MD5 signature for the seed and name.
d = _new_md5(str(seed) + str(name)).hexdigest().upper()
# Convert most of the signature to GUID form (discard the rest)
guid = ('{' + d[:8] + '-' + d[8:12] + '-' + d[12:16] + '-' + d[16:20]
+ '-' + d[20:32] + '}')
return guid
#------------------------------------------------------------------------------
class MSVSSolutionEntry(object):
def __cmp__(self, other):
# Sort by name then guid (so things are in order on vs2008).
return cmp((self.name, self.get_guid()), (other.name, other.get_guid()))
class MSVSFolder(MSVSSolutionEntry):
"""Folder in a Visual Studio project or solution."""
def __init__(self, path, name = None, entries = None,
guid = None, items = None):
"""Initializes the folder.
Args:
path: Full path to the folder.
name: Name of the folder.
entries: List of folder entries to nest inside this folder. May contain
Folder or Project objects. May be None, if the folder is empty.
guid: GUID to use for folder, if not None.
items: List of solution items to include in the folder project. May be
None, if the folder does not directly contain items.
"""
if name:
self.name = name
else:
# Use last layer.
self.name = os.path.basename(path)
self.path = path
self.guid = guid
# Copy passed lists (or set to empty lists)
self.entries = sorted(list(entries or []))
self.items = list(items or [])
self.entry_type_guid = ENTRY_TYPE_GUIDS['folder']
def get_guid(self):
if self.guid is None:
# Use consistent guids for folders (so things don't regenerate).
self.guid = MakeGuid(self.path, seed='msvs_folder')
return self.guid
#------------------------------------------------------------------------------
class MSVSProject(MSVSSolutionEntry):
"""Visual Studio project."""
def __init__(self, path, name = None, dependencies = None, guid = None,
spec = None, build_file = None, config_platform_overrides = None,
fixpath_prefix = None):
"""Initializes the project.
Args:
path: Absolute path to the project file.
name: Name of project. If None, the name will be the same as the base
name of the project file.
dependencies: List of other Project objects this project is dependent
upon, if not None.
guid: GUID to use for project, if not None.
spec: Dictionary specifying how to build this project.
build_file: Filename of the .gyp file that the vcproj file comes from.
config_platform_overrides: optional dict of configuration platforms to
used in place of the default for this target.
fixpath_prefix: the path used to adjust the behavior of _fixpath
"""
self.path = path
self.guid = guid
self.spec = spec
self.build_file = build_file
# Use project filename if name not specified
self.name = name or os.path.splitext(os.path.basename(path))[0]
# Copy passed lists (or set to empty lists)
self.dependencies = list(dependencies or [])
self.entry_type_guid = ENTRY_TYPE_GUIDS['project']
if config_platform_overrides:
self.config_platform_overrides = config_platform_overrides
else:
self.config_platform_overrides = {}
self.fixpath_prefix = fixpath_prefix
self.msbuild_toolset = None
def set_dependencies(self, dependencies):
self.dependencies = list(dependencies or [])
def get_guid(self):
if self.guid is None:
# Set GUID from path
# TODO(rspangler): This is fragile.
# 1. We can't just use the project filename sans path, since there could
# be multiple projects with the same base name (for example,
# foo/unittest.vcproj and bar/unittest.vcproj).
# 2. The path needs to be relative to $SOURCE_ROOT, so that the project
# GUID is the same whether it's included from base/base.sln or
# foo/bar/baz/baz.sln.
# 3. The GUID needs to be the same each time this builder is invoked, so
# that we don't need to rebuild the solution when the project changes.
# 4. We should be able to handle pre-built project files by reading the
# GUID from the files.
self.guid = MakeGuid(self.name)
return self.guid
def set_msbuild_toolset(self, msbuild_toolset):
self.msbuild_toolset = msbuild_toolset
#------------------------------------------------------------------------------
class MSVSSolution(object):
"""Visual Studio solution."""
def __init__(self, path, version, entries=None, variants=None,
websiteProperties=True):
"""Initializes the solution.
Args:
path: Path to solution file.
version: Format version to emit.
entries: List of entries in solution. May contain Folder or Project
objects. May be None, if the folder is empty.
variants: List of build variant strings. If none, a default list will
be used.
websiteProperties: Flag to decide if the website properties section
is generated.
"""
self.path = path
self.websiteProperties = websiteProperties
self.version = version
# Copy passed lists (or set to empty lists)
self.entries = list(entries or [])
if variants:
# Copy passed list
self.variants = variants[:]
else:
# Use default
self.variants = ['Debug|Win32', 'Release|Win32']
# TODO(rspangler): Need to be able to handle a mapping of solution config
# to project config. Should we be able to handle variants being a dict,
# or add a separate variant_map variable? If it's a dict, we can't
# guarantee the order of variants since dict keys aren't ordered.
# TODO(rspangler): Automatically write to disk for now; should delay until
# node-evaluation time.
self.Write()
def Write(self, writer=gyp.common.WriteOnDiff):
"""Writes the solution file to disk.
Raises:
IndexError: An entry appears multiple times.
"""
# Walk the entry tree and collect all the folders and projects.
all_entries = set()
entries_to_check = self.entries[:]
while entries_to_check:
e = entries_to_check.pop(0)
# If this entry has been visited, nothing to do.
if e in all_entries:
continue
all_entries.add(e)
# If this is a folder, check its entries too.
if isinstance(e, MSVSFolder):
entries_to_check += e.entries
all_entries = sorted(all_entries)
# Open file and print header
f = writer(self.path)
f.write('Microsoft Visual Studio Solution File, '
'Format Version %s\r\n' % self.version.SolutionVersion())
f.write('# %s\r\n' % self.version.Description())
# Project entries
sln_root = os.path.split(self.path)[0]
for e in all_entries:
relative_path = gyp.common.RelativePath(e.path, sln_root)
# msbuild does not accept an empty folder_name.
# use '.' in case relative_path is empty.
folder_name = relative_path.replace('/', '\\') or '.'
f.write('Project("%s") = "%s", "%s", "%s"\r\n' % (
e.entry_type_guid, # Entry type GUID
e.name, # Folder name
folder_name, # Folder name (again)
e.get_guid(), # Entry GUID
))
# TODO(rspangler): Need a way to configure this stuff
if self.websiteProperties:
f.write('\tProjectSection(WebsiteProperties) = preProject\r\n'
'\t\tDebug.AspNetCompiler.Debug = "True"\r\n'
'\t\tRelease.AspNetCompiler.Debug = "False"\r\n'
'\tEndProjectSection\r\n')
if isinstance(e, MSVSFolder):
if e.items:
f.write('\tProjectSection(SolutionItems) = preProject\r\n')
for i in e.items:
f.write('\t\t%s = %s\r\n' % (i, i))
f.write('\tEndProjectSection\r\n')
if isinstance(e, MSVSProject):
if e.dependencies:
f.write('\tProjectSection(ProjectDependencies) = postProject\r\n')
for d in e.dependencies:
f.write('\t\t%s = %s\r\n' % (d.get_guid(), d.get_guid()))
f.write('\tEndProjectSection\r\n')
f.write('EndProject\r\n')
# Global section
f.write('Global\r\n')
# Configurations (variants)
f.write('\tGlobalSection(SolutionConfigurationPlatforms) = preSolution\r\n')
for v in self.variants:
f.write('\t\t%s = %s\r\n' % (v, v))
f.write('\tEndGlobalSection\r\n')
# Sort config guids for easier diffing of solution changes.
config_guids = []
config_guids_overrides = {}
for e in all_entries:
if isinstance(e, MSVSProject):
config_guids.append(e.get_guid())
config_guids_overrides[e.get_guid()] = e.config_platform_overrides
config_guids.sort()
f.write('\tGlobalSection(ProjectConfigurationPlatforms) = postSolution\r\n')
for g in config_guids:
for v in self.variants:
nv = config_guids_overrides[g].get(v, v)
# Pick which project configuration to build for this solution
# configuration.
f.write('\t\t%s.%s.ActiveCfg = %s\r\n' % (
g, # Project GUID
v, # Solution build configuration
nv, # Project build config for that solution config
))
# Enable project in this solution configuration.
f.write('\t\t%s.%s.Build.0 = %s\r\n' % (
g, # Project GUID
v, # Solution build configuration
nv, # Project build config for that solution config
))
f.write('\tEndGlobalSection\r\n')
# TODO(rspangler): Should be able to configure this stuff too (though I've
# never seen this be any different)
f.write('\tGlobalSection(SolutionProperties) = preSolution\r\n')
f.write('\t\tHideSolutionNode = FALSE\r\n')
f.write('\tEndGlobalSection\r\n')
# Folder mappings
# Omit this section if there are no folders
if any([e.entries for e in all_entries if isinstance(e, MSVSFolder)]):
f.write('\tGlobalSection(NestedProjects) = preSolution\r\n')
for e in all_entries:
if not isinstance(e, MSVSFolder):
continue # Does not apply to projects, only folders
for subentry in e.entries:
f.write('\t\t%s = %s\r\n' % (subentry.get_guid(), e.get_guid()))
f.write('\tEndGlobalSection\r\n')
f.write('EndGlobal\r\n')
f.close()
|
mit
|
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] |
xiyuansun/linux
|
tools/perf/scripts/python/export-to-postgresql.py
|
617
|
16128
|
# export-to-postgresql.py: export perf data to a postgresql database
# Copyright (c) 2014, Intel Corporation.
#
# This program is free software; you can redistribute it and/or modify it
# under the terms and conditions of the GNU General Public License,
# version 2, as published by the Free Software Foundation.
#
# This program is distributed in the hope it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
# more details.
import os
import sys
import struct
import datetime
from PySide.QtSql import *
# Need to access PostgreSQL C library directly to use COPY FROM STDIN
from ctypes import *
libpq = CDLL("libpq.so.5")
PQconnectdb = libpq.PQconnectdb
PQconnectdb.restype = c_void_p
PQfinish = libpq.PQfinish
PQstatus = libpq.PQstatus
PQexec = libpq.PQexec
PQexec.restype = c_void_p
PQresultStatus = libpq.PQresultStatus
PQputCopyData = libpq.PQputCopyData
PQputCopyData.argtypes = [ c_void_p, c_void_p, c_int ]
PQputCopyEnd = libpq.PQputCopyEnd
PQputCopyEnd.argtypes = [ c_void_p, c_void_p ]
sys.path.append(os.environ['PERF_EXEC_PATH'] + \
'/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
# These perf imports are not used at present
#from perf_trace_context import *
#from Core import *
perf_db_export_mode = True
perf_db_export_calls = False
def usage():
print >> sys.stderr, "Usage is: export-to-postgresql.py <database name> [<columns>] [<calls>]"
print >> sys.stderr, "where: columns 'all' or 'branches'"
print >> sys.stderr, " calls 'calls' => create calls table"
raise Exception("Too few arguments")
if (len(sys.argv) < 2):
usage()
dbname = sys.argv[1]
if (len(sys.argv) >= 3):
columns = sys.argv[2]
else:
columns = "all"
if columns not in ("all", "branches"):
usage()
branches = (columns == "branches")
if (len(sys.argv) >= 4):
if (sys.argv[3] == "calls"):
perf_db_export_calls = True
else:
usage()
output_dir_name = os.getcwd() + "/" + dbname + "-perf-data"
os.mkdir(output_dir_name)
def do_query(q, s):
if (q.exec_(s)):
return
raise Exception("Query failed: " + q.lastError().text())
print datetime.datetime.today(), "Creating database..."
db = QSqlDatabase.addDatabase('QPSQL')
query = QSqlQuery(db)
db.setDatabaseName('postgres')
db.open()
try:
do_query(query, 'CREATE DATABASE ' + dbname)
except:
os.rmdir(output_dir_name)
raise
query.finish()
query.clear()
db.close()
db.setDatabaseName(dbname)
db.open()
query = QSqlQuery(db)
do_query(query, 'SET client_min_messages TO WARNING')
do_query(query, 'CREATE TABLE selected_events ('
'id bigint NOT NULL,'
'name varchar(80))')
do_query(query, 'CREATE TABLE machines ('
'id bigint NOT NULL,'
'pid integer,'
'root_dir varchar(4096))')
do_query(query, 'CREATE TABLE threads ('
'id bigint NOT NULL,'
'machine_id bigint,'
'process_id bigint,'
'pid integer,'
'tid integer)')
do_query(query, 'CREATE TABLE comms ('
'id bigint NOT NULL,'
'comm varchar(16))')
do_query(query, 'CREATE TABLE comm_threads ('
'id bigint NOT NULL,'
'comm_id bigint,'
'thread_id bigint)')
do_query(query, 'CREATE TABLE dsos ('
'id bigint NOT NULL,'
'machine_id bigint,'
'short_name varchar(256),'
'long_name varchar(4096),'
'build_id varchar(64))')
do_query(query, 'CREATE TABLE symbols ('
'id bigint NOT NULL,'
'dso_id bigint,'
'sym_start bigint,'
'sym_end bigint,'
'binding integer,'
'name varchar(2048))')
do_query(query, 'CREATE TABLE branch_types ('
'id integer NOT NULL,'
'name varchar(80))')
if branches:
do_query(query, 'CREATE TABLE samples ('
'id bigint NOT NULL,'
'evsel_id bigint,'
'machine_id bigint,'
'thread_id bigint,'
'comm_id bigint,'
'dso_id bigint,'
'symbol_id bigint,'
'sym_offset bigint,'
'ip bigint,'
'time bigint,'
'cpu integer,'
'to_dso_id bigint,'
'to_symbol_id bigint,'
'to_sym_offset bigint,'
'to_ip bigint,'
'branch_type integer,'
'in_tx boolean)')
else:
do_query(query, 'CREATE TABLE samples ('
'id bigint NOT NULL,'
'evsel_id bigint,'
'machine_id bigint,'
'thread_id bigint,'
'comm_id bigint,'
'dso_id bigint,'
'symbol_id bigint,'
'sym_offset bigint,'
'ip bigint,'
'time bigint,'
'cpu integer,'
'to_dso_id bigint,'
'to_symbol_id bigint,'
'to_sym_offset bigint,'
'to_ip bigint,'
'period bigint,'
'weight bigint,'
'transaction bigint,'
'data_src bigint,'
'branch_type integer,'
'in_tx boolean)')
if perf_db_export_calls:
do_query(query, 'CREATE TABLE call_paths ('
'id bigint NOT NULL,'
'parent_id bigint,'
'symbol_id bigint,'
'ip bigint)')
do_query(query, 'CREATE TABLE calls ('
'id bigint NOT NULL,'
'thread_id bigint,'
'comm_id bigint,'
'call_path_id bigint,'
'call_time bigint,'
'return_time bigint,'
'branch_count bigint,'
'call_id bigint,'
'return_id bigint,'
'parent_call_path_id bigint,'
'flags integer)')
do_query(query, 'CREATE VIEW samples_view AS '
'SELECT '
'id,'
'time,'
'cpu,'
'(SELECT pid FROM threads WHERE id = thread_id) AS pid,'
'(SELECT tid FROM threads WHERE id = thread_id) AS tid,'
'(SELECT comm FROM comms WHERE id = comm_id) AS command,'
'(SELECT name FROM selected_events WHERE id = evsel_id) AS event,'
'to_hex(ip) AS ip_hex,'
'(SELECT name FROM symbols WHERE id = symbol_id) AS symbol,'
'sym_offset,'
'(SELECT short_name FROM dsos WHERE id = dso_id) AS dso_short_name,'
'to_hex(to_ip) AS to_ip_hex,'
'(SELECT name FROM symbols WHERE id = to_symbol_id) AS to_symbol,'
'to_sym_offset,'
'(SELECT short_name FROM dsos WHERE id = to_dso_id) AS to_dso_short_name,'
'(SELECT name FROM branch_types WHERE id = branch_type) AS branch_type_name,'
'in_tx'
' FROM samples')
file_header = struct.pack("!11sii", "PGCOPY\n\377\r\n\0", 0, 0)
file_trailer = "\377\377"
def open_output_file(file_name):
path_name = output_dir_name + "/" + file_name
file = open(path_name, "w+")
file.write(file_header)
return file
def close_output_file(file):
file.write(file_trailer)
file.close()
def copy_output_file_direct(file, table_name):
close_output_file(file)
sql = "COPY " + table_name + " FROM '" + file.name + "' (FORMAT 'binary')"
do_query(query, sql)
# Use COPY FROM STDIN because security may prevent postgres from accessing the files directly
def copy_output_file(file, table_name):
conn = PQconnectdb("dbname = " + dbname)
if (PQstatus(conn)):
raise Exception("COPY FROM STDIN PQconnectdb failed")
file.write(file_trailer)
file.seek(0)
sql = "COPY " + table_name + " FROM STDIN (FORMAT 'binary')"
res = PQexec(conn, sql)
if (PQresultStatus(res) != 4):
raise Exception("COPY FROM STDIN PQexec failed")
data = file.read(65536)
while (len(data)):
ret = PQputCopyData(conn, data, len(data))
if (ret != 1):
raise Exception("COPY FROM STDIN PQputCopyData failed, error " + str(ret))
data = file.read(65536)
ret = PQputCopyEnd(conn, None)
if (ret != 1):
raise Exception("COPY FROM STDIN PQputCopyEnd failed, error " + str(ret))
PQfinish(conn)
def remove_output_file(file):
name = file.name
file.close()
os.unlink(name)
evsel_file = open_output_file("evsel_table.bin")
machine_file = open_output_file("machine_table.bin")
thread_file = open_output_file("thread_table.bin")
comm_file = open_output_file("comm_table.bin")
comm_thread_file = open_output_file("comm_thread_table.bin")
dso_file = open_output_file("dso_table.bin")
symbol_file = open_output_file("symbol_table.bin")
branch_type_file = open_output_file("branch_type_table.bin")
sample_file = open_output_file("sample_table.bin")
if perf_db_export_calls:
call_path_file = open_output_file("call_path_table.bin")
call_file = open_output_file("call_table.bin")
def trace_begin():
print datetime.datetime.today(), "Writing to intermediate files..."
# id == 0 means unknown. It is easier to create records for them than replace the zeroes with NULLs
evsel_table(0, "unknown")
machine_table(0, 0, "unknown")
thread_table(0, 0, 0, -1, -1)
comm_table(0, "unknown")
dso_table(0, 0, "unknown", "unknown", "")
symbol_table(0, 0, 0, 0, 0, "unknown")
sample_table(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
if perf_db_export_calls:
call_path_table(0, 0, 0, 0)
unhandled_count = 0
def trace_end():
print datetime.datetime.today(), "Copying to database..."
copy_output_file(evsel_file, "selected_events")
copy_output_file(machine_file, "machines")
copy_output_file(thread_file, "threads")
copy_output_file(comm_file, "comms")
copy_output_file(comm_thread_file, "comm_threads")
copy_output_file(dso_file, "dsos")
copy_output_file(symbol_file, "symbols")
copy_output_file(branch_type_file, "branch_types")
copy_output_file(sample_file, "samples")
if perf_db_export_calls:
copy_output_file(call_path_file, "call_paths")
copy_output_file(call_file, "calls")
print datetime.datetime.today(), "Removing intermediate files..."
remove_output_file(evsel_file)
remove_output_file(machine_file)
remove_output_file(thread_file)
remove_output_file(comm_file)
remove_output_file(comm_thread_file)
remove_output_file(dso_file)
remove_output_file(symbol_file)
remove_output_file(branch_type_file)
remove_output_file(sample_file)
if perf_db_export_calls:
remove_output_file(call_path_file)
remove_output_file(call_file)
os.rmdir(output_dir_name)
print datetime.datetime.today(), "Adding primary keys"
do_query(query, 'ALTER TABLE selected_events ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE machines ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE threads ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE comms ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE comm_threads ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE dsos ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE symbols ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE branch_types ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE samples ADD PRIMARY KEY (id)')
if perf_db_export_calls:
do_query(query, 'ALTER TABLE call_paths ADD PRIMARY KEY (id)')
do_query(query, 'ALTER TABLE calls ADD PRIMARY KEY (id)')
print datetime.datetime.today(), "Adding foreign keys"
do_query(query, 'ALTER TABLE threads '
'ADD CONSTRAINT machinefk FOREIGN KEY (machine_id) REFERENCES machines (id),'
'ADD CONSTRAINT processfk FOREIGN KEY (process_id) REFERENCES threads (id)')
do_query(query, 'ALTER TABLE comm_threads '
'ADD CONSTRAINT commfk FOREIGN KEY (comm_id) REFERENCES comms (id),'
'ADD CONSTRAINT threadfk FOREIGN KEY (thread_id) REFERENCES threads (id)')
do_query(query, 'ALTER TABLE dsos '
'ADD CONSTRAINT machinefk FOREIGN KEY (machine_id) REFERENCES machines (id)')
do_query(query, 'ALTER TABLE symbols '
'ADD CONSTRAINT dsofk FOREIGN KEY (dso_id) REFERENCES dsos (id)')
do_query(query, 'ALTER TABLE samples '
'ADD CONSTRAINT evselfk FOREIGN KEY (evsel_id) REFERENCES selected_events (id),'
'ADD CONSTRAINT machinefk FOREIGN KEY (machine_id) REFERENCES machines (id),'
'ADD CONSTRAINT threadfk FOREIGN KEY (thread_id) REFERENCES threads (id),'
'ADD CONSTRAINT commfk FOREIGN KEY (comm_id) REFERENCES comms (id),'
'ADD CONSTRAINT dsofk FOREIGN KEY (dso_id) REFERENCES dsos (id),'
'ADD CONSTRAINT symbolfk FOREIGN KEY (symbol_id) REFERENCES symbols (id),'
'ADD CONSTRAINT todsofk FOREIGN KEY (to_dso_id) REFERENCES dsos (id),'
'ADD CONSTRAINT tosymbolfk FOREIGN KEY (to_symbol_id) REFERENCES symbols (id)')
if perf_db_export_calls:
do_query(query, 'ALTER TABLE call_paths '
'ADD CONSTRAINT parentfk FOREIGN KEY (parent_id) REFERENCES call_paths (id),'
'ADD CONSTRAINT symbolfk FOREIGN KEY (symbol_id) REFERENCES symbols (id)')
do_query(query, 'ALTER TABLE calls '
'ADD CONSTRAINT threadfk FOREIGN KEY (thread_id) REFERENCES threads (id),'
'ADD CONSTRAINT commfk FOREIGN KEY (comm_id) REFERENCES comms (id),'
'ADD CONSTRAINT call_pathfk FOREIGN KEY (call_path_id) REFERENCES call_paths (id),'
'ADD CONSTRAINT callfk FOREIGN KEY (call_id) REFERENCES samples (id),'
'ADD CONSTRAINT returnfk FOREIGN KEY (return_id) REFERENCES samples (id),'
'ADD CONSTRAINT parent_call_pathfk FOREIGN KEY (parent_call_path_id) REFERENCES call_paths (id)')
do_query(query, 'CREATE INDEX pcpid_idx ON calls (parent_call_path_id)')
if (unhandled_count):
print datetime.datetime.today(), "Warning: ", unhandled_count, " unhandled events"
print datetime.datetime.today(), "Done"
def trace_unhandled(event_name, context, event_fields_dict):
global unhandled_count
unhandled_count += 1
def sched__sched_switch(*x):
pass
def evsel_table(evsel_id, evsel_name, *x):
n = len(evsel_name)
fmt = "!hiqi" + str(n) + "s"
value = struct.pack(fmt, 2, 8, evsel_id, n, evsel_name)
evsel_file.write(value)
def machine_table(machine_id, pid, root_dir, *x):
n = len(root_dir)
fmt = "!hiqiii" + str(n) + "s"
value = struct.pack(fmt, 3, 8, machine_id, 4, pid, n, root_dir)
machine_file.write(value)
def thread_table(thread_id, machine_id, process_id, pid, tid, *x):
value = struct.pack("!hiqiqiqiiii", 5, 8, thread_id, 8, machine_id, 8, process_id, 4, pid, 4, tid)
thread_file.write(value)
def comm_table(comm_id, comm_str, *x):
n = len(comm_str)
fmt = "!hiqi" + str(n) + "s"
value = struct.pack(fmt, 2, 8, comm_id, n, comm_str)
comm_file.write(value)
def comm_thread_table(comm_thread_id, comm_id, thread_id, *x):
fmt = "!hiqiqiq"
value = struct.pack(fmt, 3, 8, comm_thread_id, 8, comm_id, 8, thread_id)
comm_thread_file.write(value)
def dso_table(dso_id, machine_id, short_name, long_name, build_id, *x):
n1 = len(short_name)
n2 = len(long_name)
n3 = len(build_id)
fmt = "!hiqiqi" + str(n1) + "si" + str(n2) + "si" + str(n3) + "s"
value = struct.pack(fmt, 5, 8, dso_id, 8, machine_id, n1, short_name, n2, long_name, n3, build_id)
dso_file.write(value)
def symbol_table(symbol_id, dso_id, sym_start, sym_end, binding, symbol_name, *x):
n = len(symbol_name)
fmt = "!hiqiqiqiqiii" + str(n) + "s"
value = struct.pack(fmt, 6, 8, symbol_id, 8, dso_id, 8, sym_start, 8, sym_end, 4, binding, n, symbol_name)
symbol_file.write(value)
def branch_type_table(branch_type, name, *x):
n = len(name)
fmt = "!hiii" + str(n) + "s"
value = struct.pack(fmt, 2, 4, branch_type, n, name)
branch_type_file.write(value)
def sample_table(sample_id, evsel_id, machine_id, thread_id, comm_id, dso_id, symbol_id, sym_offset, ip, time, cpu, to_dso_id, to_symbol_id, to_sym_offset, to_ip, period, weight, transaction, data_src, branch_type, in_tx, *x):
if branches:
value = struct.pack("!hiqiqiqiqiqiqiqiqiqiqiiiqiqiqiqiiiB", 17, 8, sample_id, 8, evsel_id, 8, machine_id, 8, thread_id, 8, comm_id, 8, dso_id, 8, symbol_id, 8, sym_offset, 8, ip, 8, time, 4, cpu, 8, to_dso_id, 8, to_symbol_id, 8, to_sym_offset, 8, to_ip, 4, branch_type, 1, in_tx)
else:
value = struct.pack("!hiqiqiqiqiqiqiqiqiqiqiiiqiqiqiqiqiqiqiqiiiB", 21, 8, sample_id, 8, evsel_id, 8, machine_id, 8, thread_id, 8, comm_id, 8, dso_id, 8, symbol_id, 8, sym_offset, 8, ip, 8, time, 4, cpu, 8, to_dso_id, 8, to_symbol_id, 8, to_sym_offset, 8, to_ip, 8, period, 8, weight, 8, transaction, 8, data_src, 4, branch_type, 1, in_tx)
sample_file.write(value)
def call_path_table(cp_id, parent_id, symbol_id, ip, *x):
fmt = "!hiqiqiqiq"
value = struct.pack(fmt, 4, 8, cp_id, 8, parent_id, 8, symbol_id, 8, ip)
call_path_file.write(value)
def call_return_table(cr_id, thread_id, comm_id, call_path_id, call_time, return_time, branch_count, call_id, return_id, parent_call_path_id, flags, *x):
fmt = "!hiqiqiqiqiqiqiqiqiqiqii"
value = struct.pack(fmt, 11, 8, cr_id, 8, thread_id, 8, comm_id, 8, call_path_id, 8, call_time, 8, return_time, 8, branch_count, 8, call_id, 8, return_id, 8, parent_call_path_id, 4, flags)
call_file.write(value)
|
gpl-2.0
|
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Azulinho/ansible
|
test/units/modules/network/nxos/test_nxos_feature.py
|
4
|
2696
|
# (c) 2016 Red Hat Inc.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
# Make coding more python3-ish
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import json
from ansible.compat.tests.mock import patch
from ansible.modules.network.nxos import nxos_feature
from .nxos_module import TestNxosModule, load_fixture, set_module_args
class TestNxosFeatureModule(TestNxosModule):
module = nxos_feature
def setUp(self):
super(TestNxosFeatureModule, self).setUp()
self.mock_run_commands = patch('ansible.modules.network.nxos.nxos_feature.run_commands')
self.run_commands = self.mock_run_commands.start()
self.mock_load_config = patch('ansible.modules.network.nxos.nxos_feature.load_config')
self.load_config = self.mock_load_config.start()
def tearDown(self):
super(TestNxosFeatureModule, self).tearDown()
self.mock_run_commands.stop()
self.mock_load_config.stop()
def load_fixtures(self, commands=None, device=''):
def load_from_file(*args, **kwargs):
module, commands = args
output = list()
for item in commands:
try:
obj = json.loads(item['command'])
command = obj['command']
except ValueError:
command = item['command']
filename = '%s.txt' % str(command).replace(' ', '_')
output.append(load_fixture('nxos_feature', filename))
return output
self.run_commands.side_effect = load_from_file
self.load_config.return_value = None
def test_nxos_feature_enable(self):
set_module_args(dict(feature='nve', state='enabled'))
result = self.execute_module(changed=True)
self.assertEqual(result['commands'], ['feature nv overlay'])
def test_nxos_feature_disable(self):
set_module_args(dict(feature='ospf', state='disabled'))
result = self.execute_module(changed=True)
self.assertEqual(result['commands'], ['no feature ospf'])
|
gpl-3.0
|
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] |
orione7/Italorione
|
servers/realvid.py
|
9
|
2427
|
# -*- coding: utf-8 -*-
#------------------------------------------------------------
# pelisalacarta - XBMC Plugin
# Conector para realvid
# http://blog.tvalacarta.info/plugin-xbmc/pelisalacarta/
#------------------------------------------------------------
import urlparse,urllib2,urllib,re
import os
from core import scrapertools
from core import logger
from core import config
from core import jsunpack
def test_video_exists( page_url ):
logger.info("[realvid.py] test_video_exists(page_url='%s')" % page_url)
return True,""
def get_video_url( page_url , premium = False , user="" , password="", video_password="" ):
logger.info("[realvid.py] url="+page_url)
if not "embed" in page_url:
page_url = page_url.replace("http://realvid.net/","http://realvid.net/embed-") + ".html"
data = scrapertools.cache_page( page_url )
media_url = scrapertools.get_match(data,'file: "([^"]+)",')
video_urls = []
video_urls.append( [ scrapertools.get_filename_from_url(media_url)[-4:]+" [realvid]",media_url])
return video_urls
# Encuentra vídeos del servidor en el texto pasado
def find_videos(data):
# Añade manualmente algunos erróneos para evitarlos
encontrados = set()
devuelve = []
patronvideos = 'realvid.net/embed-([a-z0-9A-Z]+)'
logger.info("[realvid.py] find_videos #"+patronvideos+"#")
matches = re.compile(patronvideos,re.DOTALL).findall(data)
for match in matches:
titulo = "[realvid]"
url = "http://realvid.net/embed-"+match+".html"
if url not in encontrados:
logger.info(" url="+url)
devuelve.append( [ titulo , url , 'realvid' ] )
encontrados.add(url)
else:
logger.info(" url duplicada="+url)
patronvideos = 'realvid.net/([a-z0-9A-Z]+)'
logger.info("[realvid.py] find_videos #"+patronvideos+"#")
matches = re.compile(patronvideos,re.DOTALL).findall(data)
for match in matches:
titulo = "[realvid]"
url = "http://realvid.net/embed-"+match+".html"
if url not in encontrados:
logger.info(" url="+url)
devuelve.append( [ titulo , url , 'realvid' ] )
encontrados.add(url)
else:
logger.info(" url duplicada="+url)
return devuelve
def test():
video_urls = get_video_url("http://realvid.net/embed-m4snvxoc2tsn.html")
return len(video_urls)>0
|
gpl-3.0
|
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] |
yencarnacion/jaikuengine
|
.google_appengine/google/appengine/tools/devappserver2/admin/xmpp_request_handler_test.py
|
10
|
7646
|
#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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.
#
"""Tests for devappserver2.admin.xmpp_request_handler."""
import unittest
import google
from lxml import doctestcompare
import mox
import webapp2
from google.appengine.tools.devappserver2 import dispatcher
from google.appengine.tools.devappserver2.admin import xmpp_request_handler
class CompareXml(mox.Comparator):
"""Compare XML using only semantic differences e.g. ignore attribute order."""
def __init__(self, xml):
self._xml = xml
def equals(self, rhs):
checker = doctestcompare.LXMLOutputChecker()
return checker.check_output(self._xml, rhs, 0)
class TestFormData(unittest.TestCase):
"""Tests for xmpp_request_handler._FormData."""
def test(self):
form_data = xmpp_request_handler._FormData()
form_data.add_text('message', u'\N{White Smiling Face}', 'plain')
form_data.add_text('stanza', '<p>This is\na\ntest!</p>', 'xml')
boundary, content = form_data.get_boundary_and_content()
self.assertMultiLineEqual(
'--{boundary}\r\n'
'Content-Type: text/plain; charset="UTF-8"\r\n'
'Content-Disposition: form-data; name="message"\r\n'
'\r\n'
'\xe2\x98\xba\r\n'
'--{boundary}\r\n'
'Content-Type: text/xml; charset="UTF-8"\r\n'
'Content-Disposition: form-data; name="stanza"\r\n'
'\r\n'
'<p>This is\na\ntest!</p>\r\n'
'--{boundary}--\r\n'.format(boundary=boundary),
content
)
class TestXmppRequestHandler(unittest.TestCase):
"""Tests for xmpp_request_handler.XmppRequestHandler."""
def setUp(self):
self.mox = mox.Mox()
def tearDown(self):
self.mox.UnsetStubs()
def test_send(self):
self.mox.StubOutWithMock(xmpp_request_handler.XmppRequestHandler,
'dispatcher')
handler = xmpp_request_handler.XmppRequestHandler()
handler.dispatcher = self.mox.CreateMock(dispatcher.Dispatcher)
handler.dispatcher.add_request(
method='POST',
relative_url='url',
headers=[('Content-Type',
mox.Regex('multipart/form-data; boundary=".*?"'))],
body=mox.IsA(str),
source_ip='0.1.0.10',
fake_login=True)
data = xmpp_request_handler._FormData()
self.mox.ReplayAll()
handler._send('url', data)
self.mox.VerifyAll()
def test_chat(self):
self.mox.StubOutWithMock(xmpp_request_handler.XmppRequestHandler, '_send')
request = webapp2.Request.blank('/xmpp', POST={'message_type': 'chat',
'to': 'foo@example.com',
'from': 'baz@example.com',
'chat': 'Chat content'})
response = webapp2.Response()
handler = xmpp_request_handler.XmppRequestHandler(request, response)
data = xmpp_request_handler._FormData()
data.add_text('from', 'baz@example.com', 'plain')
data.add_text('to', 'foo@example.com', 'plain')
data.add_text('body', 'Chat content', 'plain')
data.add_text(
'stanza',
CompareXml(
'<ns0:message from="baz@example.com" to="foo@example.com" '
'type="chat" xmlns:ns0="jabber:client">'
'<ns0:body>Chat content</ns0:body>'
'</ns0:message>'),
'xml')
handler._send('/_ah/xmpp/message/chat/', data).AndReturn(
dispatcher.ResponseTuple('404 Not Found', [], 'Response'))
self.mox.ReplayAll()
handler.post()
self.mox.VerifyAll()
self.assertEqual('404 Not Found', response.status)
def test_presence_available(self):
self.mox.StubOutWithMock(xmpp_request_handler.XmppRequestHandler, '_send')
request = webapp2.Request.blank('/xmpp', POST={'message_type': 'presence',
'to': 'foo@example.com',
'from': 'baz@example.com',
'presence': 'available'})
response = webapp2.Response()
handler = xmpp_request_handler.XmppRequestHandler(request, response)
data = xmpp_request_handler._FormData()
data.add_text('from', 'baz@example.com', 'plain')
data.add_text('to', 'foo@example.com', 'plain')
data.add_text(
'stanza',
CompareXml(
'<ns0:presence from="baz@example.com" to="foo@example.com" '
'xmlns:ns0="jabber:client" />'),
'xml')
handler._send('/_ah/xmpp/presence/available/', data).AndReturn(
dispatcher.ResponseTuple('404 Not Found', [], 'Response'))
self.mox.ReplayAll()
handler.post()
self.mox.VerifyAll()
self.assertEqual('404 Not Found', response.status)
def test_presence_unavailable(self):
self.mox.StubOutWithMock(xmpp_request_handler.XmppRequestHandler, '_send')
request = webapp2.Request.blank('/xmpp', POST={'message_type': 'presence',
'to': 'foo@example.com',
'from': 'baz@example.com',
'presence': 'unavailable'})
response = webapp2.Response()
handler = xmpp_request_handler.XmppRequestHandler(request, response)
data = xmpp_request_handler._FormData()
data.add_text('from', 'baz@example.com', 'plain')
data.add_text('to', 'foo@example.com', 'plain')
data.add_text(
'stanza',
CompareXml(
'<ns0:presence from="baz@example.com" to="foo@example.com" '
'type="unavailable" xmlns:ns0="jabber:client" />'),
'xml')
handler._send('/_ah/xmpp/presence/unavailable/', data).AndReturn(
dispatcher.ResponseTuple('404 Not Found', [], 'Response'))
self.mox.ReplayAll()
handler.post()
self.mox.VerifyAll()
self.assertEqual('404 Not Found', response.status)
def test_subscribe(self):
self.mox.StubOutWithMock(xmpp_request_handler.XmppRequestHandler, '_send')
request = webapp2.Request.blank('/xmpp',
POST={'message_type': 'subscribe',
'to': 'foo@example.com',
'from': 'baz@example.com',
'subscription_type': 'subscribe'})
response = webapp2.Response()
handler = xmpp_request_handler.XmppRequestHandler(request, response)
data = xmpp_request_handler._FormData()
data.add_text('from', 'baz@example.com', 'plain')
data.add_text('to', 'foo@example.com', 'plain')
data.add_text(
'stanza',
CompareXml(
'<ns0:presence from="baz@example.com" to="foo@example.com" '
'type="subscribe" xmlns:ns0="jabber:client" />'),
'xml')
handler._send('/_ah/xmpp/subscription/subscribe/', data).AndReturn(
dispatcher.ResponseTuple('404 Not Found', [], 'Response'))
self.mox.ReplayAll()
handler.post()
self.mox.VerifyAll()
self.assertEqual('404 Not Found', response.status)
if __name__ == '__main__':
unittest.main()
|
apache-2.0
|
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mhaberler/machinekit
|
src/emc/usr_intf/touchy/listing.py
|
35
|
3481
|
# Touchy is Copyright (c) 2009 Chris Radek <chris@timeguy.com>
#
# Touchy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# Touchy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
class listing:
def __init__(self, gtk, emc, labels, eventboxes):
self.labels = labels
self.eventboxes = eventboxes
self.numlabels = len(labels)
self.gtk = gtk
self.emc = emc
self.lineoffset = 0
self.selected = -1
self.start_line = -1
self.filename = ""
self.program = []
self.lines = 0
self.populate()
def populate(self):
program = self.program[self.lineoffset:self.lineoffset + self.numlabels]
for i in range(self.numlabels):
l = self.labels[i]
e = self.eventboxes[i]
if i < len(program):
l.set_text(program[i].rstrip())
else:
l.set_text('')
if self.start_line == self.lineoffset + i:
e.modify_bg(self.gtk.STATE_NORMAL, self.gtk.gdk.color_parse('#66f'))
elif self.selected == self.lineoffset + i:
e.modify_bg(self.gtk.STATE_NORMAL, self.gtk.gdk.color_parse('#fff'))
else:
e.modify_bg(self.gtk.STATE_NORMAL, self.gtk.gdk.color_parse('#ccc'))
def show_line(self, n):
if len(self.program) <= self.numlabels:
self.lineoffset = 0
else:
self.lineoffset = min(max(0, n - self.numlabels/2),self.lines - self.numlabels)
self.populate()
def highlight_line(self, n):
n -= 1 # program[] is zero-based, emc line numbers are one-based
if self.selected == n: return
self.selected = n
self.show_line(n)
def up(self, b):
self.lineoffset -= self.numlabels
if self.lineoffset < 0:
self.lineoffset = 0
self.populate()
def down(self, b):
self.lineoffset += self.numlabels
self.populate()
def readfile(self, fn):
self.filename = fn
f = file(fn, 'r')
self.program = f.readlines()
f.close()
self.lines = len(self.program)
self.lineoffset = 0
self.selected = -1
self.populate()
def reload(self, b):
pass
def previous(self, b,count=1):
for i in range(count):
while True:
if self.start_line <= 0:
break
self.start_line -= 1
if (self.program[self.start_line][0] == 'N' or
self.program[self.start_line][0] == 'n' ):
break
self.show_line(self.start_line)
def next(self,b,count=1):
if count < 0: return self.previous(b, -count)
for i in range(count):
while True:
if self.start_line >= len(self.program)-1:
break
self.start_line += 1
if (self.program[self.start_line][0] == 'N' or
self.program[self.start_line][0] == 'n' ):
break
self.show_line(self.start_line)
def clear_startline(self):
self.start_line = -1
self.populate()
def get_startline(self):
return self.start_line + 1
|
lgpl-2.1
|
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inoshiro/symposion-demo
|
symposion_project/apps/symposion/sponsors_pro/views.py
|
5
|
4598
|
import itertools
from functools import wraps
from django.http import HttpResponse
from django.shortcuts import render_to_response, redirect, get_object_or_404
from django.template import RequestContext
from django.contrib import messages
from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.auth.decorators import login_required
from symposion.sponsors_pro.forms import SponsorApplicationForm, SponsorDetailsForm, SponsorBenefitsFormSet
from symposion.sponsors_pro.models import Sponsor, SponsorBenefit
def require_no_sponsorship(only_active=False):
def inner(func):
@wraps(func)
def view(request, *args, **kwargs):
if request.user.is_authenticated():
try:
sponsorship = request.user.sponsorship
except Sponsor.DoesNotExist:
pass
else:
if not only_active or sponsorship.active:
return redirect(sponsorship)
return func(request, *args, **kwargs)
return view
return inner
def sponsor_info(request):
return render_to_response("sponsors/info.html", {
}, context_instance=RequestContext(request))
@login_required
@require_no_sponsorship()
def sponsor_apply(request):
if request.method == "POST":
form = SponsorApplicationForm(request.POST, user=request.user)
if form.is_valid():
form.save()
return redirect("sponsor_info")
else:
form = SponsorApplicationForm(user=request.user)
return render_to_response("sponsors/apply.html", {
"form": form,
}, context_instance=RequestContext(request))
@login_required
def sponsor_detail(request, pk):
sponsor = get_object_or_404(Sponsor, pk=pk)
if not sponsor.active or sponsor.applicant != request.user:
return redirect("sponsor_info")
formset_kwargs = {
"instance": sponsor,
"queryset": SponsorBenefit.objects.filter(active=True)
}
if request.method == "POST":
form = SponsorDetailsForm(request.POST, instance=sponsor)
formset = SponsorBenefitsFormSet(request.POST, request.FILES, **formset_kwargs)
if form.is_valid() and formset.is_valid():
form.save()
formset.save()
messages.success(request, "Your sponsorship application has been submitted!")
return redirect(request.path)
else:
form = SponsorDetailsForm(instance=sponsor)
formset = SponsorBenefitsFormSet(**formset_kwargs)
return render_to_response("sponsors/detail.html", {
"sponsor": sponsor,
"form": form,
"formset": formset,
}, context_instance=RequestContext(request))
@staff_member_required
def sponsor_export_data(request):
sponsors = []
data = ""
for sponsor in Sponsor.objects.order_by("added"):
d = {
"name": sponsor.name,
"url": sponsor.external_url,
"level": (sponsor.level.order, sponsor.level.name),
"description": "",
}
for sponsor_benefit in sponsor.sponsor_benefits.all():
if sponsor_benefit.benefit_id == 2:
d["description"] = sponsor_benefit.text
sponsors.append(d)
def izip_longest(*args):
fv = None
def sentinel(counter=([fv]*(len(args)-1)).pop):
yield counter()
iters = [itertools.chain(it, sentinel(), itertools.repeat(fv)) for it in args]
try:
for tup in itertools.izip(*iters):
yield tup
except IndexError:
pass
def pairwise(iterable):
a, b = itertools.tee(iterable)
b.next()
return izip_longest(a, b)
def level_key(s):
return s["level"]
for level, level_sponsors in itertools.groupby(sorted(sponsors, key=level_key), level_key):
data += "%s\n" % ("-" * (len(level[1])+4))
data += "| %s |\n" % level[1]
data += "%s\n\n" % ("-" * (len(level[1])+4))
for sponsor, next in pairwise(level_sponsors):
description = sponsor["description"].strip()
description = description if description else "-- NO DESCRIPTION FOR THIS SPONSOR --"
data += "%s\n\n%s" % (sponsor["name"], description)
if next is not None:
data += "\n\n%s\n\n" % ("-"*80)
else:
data += "\n\n"
return HttpResponse(data, content_type="text/plain;charset=utf-8")
|
mit
|
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] |
vbelakov/h2o
|
py/testdir_multi_jvm/notest_create_rebalance_2enum.py
|
9
|
5646
|
import unittest, random, sys, time
sys.path.extend(['.','..','../..','py'])
import h2o, h2o_cmd, h2o_util, h2o_import as h2i
REBALANCE_CHUNKS = 100
print "Keeping the # of rows > the number of chunks I ask for. Is that a requirement?"
paramDict = {
'rows': [100,1000],
'cols': [1,10,100], # Number of data columns (in addition to the first response column)
'seed': [None, 1234],
'randomize': [None, 0, 1],
'value': [None, 0, 1234567890, 1e6, -1e6], # Constant value (for randomize=false)
'real_range': [None, 0, 1234567890, 1e6, -1e6], # -range to range
'categorical_fraction': [None, 0.1, 1.0], # Fraction of integer columns (for randomize=true)
'factors': [None, 5, 17], # Factor levels for categorical variables
'integer_fraction': [None, 0.1, 1.0], # Fraction of integer columns (for randomize=true)
'integer_range': [None, 0, 1, 1234567890], # -range to range
'missing_fraction': [None, 0.1, 1.0],
'response_factors': [None, 1, 2, 10], # Number of factor levels of the first column (1=real, 2=binomial, N=multinomial)
}
class Basic(unittest.TestCase):
def tearDown(self):
h2o.check_sandbox_for_errors()
@classmethod
def setUpClass(cls):
global SEED
SEED = h2o.setup_random_seed()
h2o.init(3)
global SYNDATASETS_DIR
SYNDATASETS_DIR = h2o.make_syn_dir()
@classmethod
def tearDownClass(cls):
h2o.tear_down_cloud()
def test_create_rebalance_2enum(self):
# default
params = {
'rows': 100,
'cols': 1
}
for trial in range(20):
# CREATE FRAME params################################################################
h2o_util.pickRandParams(paramDict, params)
i = params.get('integer_fraction', None)
c = params.get('categorical_fraction', None)
r = params.get('randomize', None)
v = params.get('value', None)
# h2o does some strict checking on the combinations of these things
# fractions have to add up to <= 1 and only be used if randomize
# h2o default randomize=1?
if r:
if not i:
i = 0
if not c:
c = 0
if (i and c) and (i + c) >= 1.0:
c = 1.0 - i
params['integer_fraction'] = i
params['categorical_fraction'] = c
params['value'] = None
else:
params['randomize'] = 0
params['integer_fraction'] = 0
params['categorical_fraction'] = 0
# CREATE FRAME*****************************************************
kwargs = params.copy()
print kwargs
timeoutSecs = 300
hex_key='temp1000.hex'
cfResult = h2o.nodes[0].create_frame(key=hex_key, timeoutSecs=timeoutSecs, **kwargs)
# REBALANCE*****************************************************
print "Rebalancing it to create an artificially large # of chunks"
rb_key = "rb_%s" % (hex_key)
start = time.time()
print "Rebalancing %s to %s with %s chunks" % (hex_key, rb_key, REBALANCE_CHUNKS)
SEEDPERFILE = random.randint(0, sys.maxint)
rebalanceResult = h2o.nodes[0].rebalance(source=hex_key, after=rb_key, chunks=REBALANCE_CHUNKS)
elapsed = time.time() - start
print "rebalance end on ", hex_key, 'to', rb_key, 'took', elapsed, 'seconds',\
# TO ENUM*****************************************************
print "Now doing to_enum across all columns of %s" % rb_key
for column_index in range(params['cols']):
# is the column index 1-base in to_enum
result = h2o.nodes[0].to_enum(None, src_key=rb_key, column_index=column_index+1)
# print "\nto_enum result:", h2o.dump_json(result)
summaryResult = h2o_cmd.runSummary(key=hex_key)
# check that it at least is an enum column now, with no na's
# just look at the column we touched
column = summaryResult['summaries'][column_index]
colname = column['colname']
coltype = column['type']
nacnt = column['nacnt']
stats = column['stats']
stattype = stats['type']
# we have some # of na's in the columns...but there should not be 100% NA
if nacnt>=params['rows']:
raise Exception("column %s, which has name '%s', somehow too many NAs after convert to Enum %s %s" %
(column_index, colname, nacnt, params['rows']))
print "I suspect that columns that are constant, maybe with NAs also, don't convert to Enum"
if stattype != 'Enum':
raise Exception("column %s, which has name '%s', didn't convert to Enum, is %s %s %s" %
(column_index, colname, stattype, coltype, h2o.dump_json(column)))
cardinality = stats['cardinality']
# don't know the cardinality expected
# if cardinality!=4:
# raise Exception("column %s, which has name '%s', should have cardinality 4, got: %s" %
# (column_index, colname, cardinality))
h2o_cmd.infoFromSummary(summaryResult)
print "Trial #", trial, "completed"
if __name__ == '__main__':
h2o.unit_main()
|
apache-2.0
|
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] |
Shaswat27/sympy
|
sympy/polys/agca/tests/test_modules.py
|
121
|
13526
|
"""Test modules.py code."""
from sympy.polys.agca.modules import FreeModule, ModuleOrder, FreeModulePolyRing
from sympy.polys import CoercionFailed, QQ, lex, grlex, ilex, ZZ
from sympy.abc import x, y, z
from sympy.utilities.pytest import raises
from sympy import S
def test_FreeModuleElement():
M = QQ.old_poly_ring(x).free_module(3)
e = M.convert([1, x, x**2])
f = [QQ.old_poly_ring(x).convert(1), QQ.old_poly_ring(x).convert(x), QQ.old_poly_ring(x).convert(x**2)]
assert list(e) == f
assert f[0] == e[0]
assert f[1] == e[1]
assert f[2] == e[2]
raises(IndexError, lambda: e[3])
g = M.convert([x, 0, 0])
assert e + g == M.convert([x + 1, x, x**2])
assert f + g == M.convert([x + 1, x, x**2])
assert -e == M.convert([-1, -x, -x**2])
assert e - g == M.convert([1 - x, x, x**2])
assert e != g
assert M.convert([x, x, x]) / QQ.old_poly_ring(x).convert(x) == [1, 1, 1]
R = QQ.old_poly_ring(x, order="ilex")
assert R.free_module(1).convert([x]) / R.convert(x) == [1]
def test_FreeModule():
M1 = FreeModule(QQ.old_poly_ring(x), 2)
assert M1 == FreeModule(QQ.old_poly_ring(x), 2)
assert M1 != FreeModule(QQ.old_poly_ring(y), 2)
assert M1 != FreeModule(QQ.old_poly_ring(x), 3)
M2 = FreeModule(QQ.old_poly_ring(x, order="ilex"), 2)
assert [x, 1] in M1
assert [x] not in M1
assert [2, y] not in M1
assert [1/(x + 1), 2] not in M1
e = M1.convert([x, x**2 + 1])
X = QQ.old_poly_ring(x).convert(x)
assert e == [X, X**2 + 1]
assert e == [x, x**2 + 1]
assert 2*e == [2*x, 2*x**2 + 2]
assert e*2 == [2*x, 2*x**2 + 2]
assert e/2 == [x/2, (x**2 + 1)/2]
assert x*e == [x**2, x**3 + x]
assert e*x == [x**2, x**3 + x]
assert X*e == [x**2, x**3 + x]
assert e*X == [x**2, x**3 + x]
assert [x, 1] in M2
assert [x] not in M2
assert [2, y] not in M2
assert [1/(x + 1), 2] in M2
e = M2.convert([x, x**2 + 1])
X = QQ.old_poly_ring(x, order="ilex").convert(x)
assert e == [X, X**2 + 1]
assert e == [x, x**2 + 1]
assert 2*e == [2*x, 2*x**2 + 2]
assert e*2 == [2*x, 2*x**2 + 2]
assert e/2 == [x/2, (x**2 + 1)/2]
assert x*e == [x**2, x**3 + x]
assert e*x == [x**2, x**3 + x]
assert e/(1 + x) == [x/(1 + x), (x**2 + 1)/(1 + x)]
assert X*e == [x**2, x**3 + x]
assert e*X == [x**2, x**3 + x]
M3 = FreeModule(QQ.old_poly_ring(x, y), 2)
assert M3.convert(e) == M3.convert([x, x**2 + 1])
assert not M3.is_submodule(0)
assert not M3.is_zero()
raises(NotImplementedError, lambda: ZZ.old_poly_ring(x).free_module(2))
raises(NotImplementedError, lambda: FreeModulePolyRing(ZZ, 2))
raises(CoercionFailed, lambda: M1.convert(QQ.old_poly_ring(x).free_module(3)
.convert([1, 2, 3])))
raises(CoercionFailed, lambda: M3.convert(1))
def test_ModuleOrder():
o1 = ModuleOrder(lex, grlex, False)
o2 = ModuleOrder(ilex, lex, False)
assert o1 == ModuleOrder(lex, grlex, False)
assert (o1 != ModuleOrder(lex, grlex, False)) is False
assert o1 != o2
assert o1((1, 2, 3)) == (1, (5, (2, 3)))
assert o2((1, 2, 3)) == (-1, (2, 3))
def test_SubModulePolyRing_global():
R = QQ.old_poly_ring(x, y)
F = R.free_module(3)
Fd = F.submodule([1, 0, 0], [1, 2, 0], [1, 2, 3])
M = F.submodule([x**2 + y**2, 1, 0], [x, y, 1])
assert F == Fd
assert Fd == F
assert F != M
assert M != F
assert Fd != M
assert M != Fd
assert Fd == F.submodule(*F.basis())
assert Fd.is_full_module()
assert not M.is_full_module()
assert not Fd.is_zero()
assert not M.is_zero()
assert Fd.submodule().is_zero()
assert M.contains([x**2 + y**2 + x, 1 + y, 1])
assert not M.contains([x**2 + y**2 + x, 1 + y, 2])
assert M.contains([y**2, 1 - x*y, -x])
assert not F.submodule([1 + x, 0, 0]) == F.submodule([1, 0, 0])
assert F.submodule([1, 0, 0], [0, 1, 0]).union(F.submodule([0, 0, 1])) == F
assert not M.is_submodule(0)
m = F.convert([x**2 + y**2, 1, 0])
n = M.convert(m)
assert m.module is F
assert n.module is M
raises(ValueError, lambda: M.submodule([1, 0, 0]))
raises(TypeError, lambda: M.union(1))
raises(ValueError, lambda: M.union(R.free_module(1).submodule([x])))
assert F.submodule([x, x, x]) != F.submodule([x, x, x], order="ilex")
def test_SubModulePolyRing_local():
R = QQ.old_poly_ring(x, y, order=ilex)
F = R.free_module(3)
Fd = F.submodule([1 + x, 0, 0], [1 + y, 2 + 2*y, 0], [1, 2, 3])
M = F.submodule([x**2 + y**2, 1, 0], [x, y, 1])
assert F == Fd
assert Fd == F
assert F != M
assert M != F
assert Fd != M
assert M != Fd
assert Fd == F.submodule(*F.basis())
assert Fd.is_full_module()
assert not M.is_full_module()
assert not Fd.is_zero()
assert not M.is_zero()
assert Fd.submodule().is_zero()
assert M.contains([x**2 + y**2 + x, 1 + y, 1])
assert not M.contains([x**2 + y**2 + x, 1 + y, 2])
assert M.contains([y**2, 1 - x*y, -x])
assert F.submodule([1 + x, 0, 0]) == F.submodule([1, 0, 0])
assert F.submodule(
[1, 0, 0], [0, 1, 0]).union(F.submodule([0, 0, 1 + x*y])) == F
raises(ValueError, lambda: M.submodule([1, 0, 0]))
def test_SubModulePolyRing_nontriv_global():
R = QQ.old_poly_ring(x, y, z)
F = R.free_module(1)
def contains(I, f):
return F.submodule(*[[g] for g in I]).contains([f])
assert contains([x, y], x)
assert contains([x, y], x + y)
assert not contains([x, y], 1)
assert not contains([x, y], z)
assert contains([x**2 + y, x**2 + x], x - y)
assert not contains([x + y + z, x*y + x*z + y*z, x*y*z], x**2)
assert contains([x + y + z, x*y + x*z + y*z, x*y*z], x**3)
assert contains([x + y + z, x*y + x*z + y*z, x*y*z], x**4)
assert not contains([x + y + z, x*y + x*z + y*z, x*y*z], x*y**2)
assert contains([x + y + z, x*y + x*z + y*z, x*y*z], x**4 + y**3 + 2*z*y*x)
assert contains([x + y + z, x*y + x*z + y*z, x*y*z], x*y*z)
assert contains([x, 1 + x + y, 5 - 7*y], 1)
assert contains(
[x**3 + y**3, y**3 + z**3, z**3 + x**3, x**2*y + x**2*z + y**2*z],
x**3)
assert not contains(
[x**3 + y**3, y**3 + z**3, z**3 + x**3, x**2*y + x**2*z + y**2*z],
x**2 + y**2)
# compare local order
assert not contains([x*(1 + x + y), y*(1 + z)], x)
assert not contains([x*(1 + x + y), y*(1 + z)], x + y)
def test_SubModulePolyRing_nontriv_local():
R = QQ.old_poly_ring(x, y, z, order=ilex)
F = R.free_module(1)
def contains(I, f):
return F.submodule(*[[g] for g in I]).contains([f])
assert contains([x, y], x)
assert contains([x, y], x + y)
assert not contains([x, y], 1)
assert not contains([x, y], z)
assert contains([x**2 + y, x**2 + x], x - y)
assert not contains([x + y + z, x*y + x*z + y*z, x*y*z], x**2)
assert contains([x*(1 + x + y), y*(1 + z)], x)
assert contains([x*(1 + x + y), y*(1 + z)], x + y)
def test_syzygy():
R = QQ.old_poly_ring(x, y, z)
M = R.free_module(1).submodule([x*y], [y*z], [x*z])
S = R.free_module(3).submodule([0, x, -y], [z, -x, 0])
assert M.syzygy_module() == S
M2 = M / ([x*y*z],)
S2 = R.free_module(3).submodule([z, 0, 0], [0, x, 0], [0, 0, y])
assert M2.syzygy_module() == S2
F = R.free_module(3)
assert F.submodule(*F.basis()).syzygy_module() == F.submodule()
R2 = QQ.old_poly_ring(x, y, z) / [x*y*z]
M3 = R2.free_module(1).submodule([x*y], [y*z], [x*z])
S3 = R2.free_module(3).submodule([z, 0, 0], [0, x, 0], [0, 0, y])
assert M3.syzygy_module() == S3
def test_in_terms_of_generators():
R = QQ.old_poly_ring(x, order="ilex")
M = R.free_module(2).submodule([2*x, 0], [1, 2])
assert M.in_terms_of_generators(
[x, x]) == [R.convert(S(1)/4), R.convert(x/2)]
raises(ValueError, lambda: M.in_terms_of_generators([1, 0]))
M = R.free_module(2) / ([x, 0], [1, 1])
SM = M.submodule([1, x])
assert SM.in_terms_of_generators([2, 0]) == [R.convert(-2/(x - 1))]
R = QQ.old_poly_ring(x, y) / [x**2 - y**2]
M = R.free_module(2)
SM = M.submodule([x, 0], [0, y])
assert SM.in_terms_of_generators(
[x**2, x**2]) == [R.convert(x), R.convert(y)]
def test_QuotientModuleElement():
R = QQ.old_poly_ring(x)
F = R.free_module(3)
N = F.submodule([1, x, x**2])
M = F/N
e = M.convert([x**2, 2, 0])
assert M.convert([x + 1, x**2 + x, x**3 + x**2]) == 0
assert e == [x**2, 2, 0] + N == F.convert([x**2, 2, 0]) + N == \
M.convert(F.convert([x**2, 2, 0]))
assert M.convert([x**2 + 1, 2*x + 2, x**2]) == e + [0, x, 0] == \
e + M.convert([0, x, 0]) == e + F.convert([0, x, 0])
assert M.convert([x**2 + 1, 2, x**2]) == e - [0, x, 0] == \
e - M.convert([0, x, 0]) == e - F.convert([0, x, 0])
assert M.convert([0, 2, 0]) == M.convert([x**2, 4, 0]) - e == \
[x**2, 4, 0] - e == F.convert([x**2, 4, 0]) - e
assert M.convert([x**3 + x**2, 2*x + 2, 0]) == (1 + x)*e == \
R.convert(1 + x)*e == e*(1 + x) == e*R.convert(1 + x)
assert -e == [-x**2, -2, 0]
f = [x, x, 0] + N
assert M.convert([1, 1, 0]) == f / x == f / R.convert(x)
M2 = F/[(2, 2*x, 2*x**2), (0, 0, 1)]
G = R.free_module(2)
M3 = G/[[1, x]]
M4 = F.submodule([1, x, x**2], [1, 0, 0]) / N
raises(CoercionFailed, lambda: M.convert(G.convert([1, x])))
raises(CoercionFailed, lambda: M.convert(M3.convert([1, x])))
raises(CoercionFailed, lambda: M.convert(M2.convert([1, x, x])))
assert M2.convert(M.convert([2, x, x**2])) == [2, x, 0]
assert M.convert(M4.convert([2, 0, 0])) == [2, 0, 0]
def test_QuotientModule():
R = QQ.old_poly_ring(x)
F = R.free_module(3)
N = F.submodule([1, x, x**2])
M = F/N
assert M != F
assert M != N
assert M == F / [(1, x, x**2)]
assert not M.is_zero()
assert (F / F.basis()).is_zero()
SQ = F.submodule([1, x, x**2], [2, 0, 0]) / N
assert SQ == M.submodule([2, x, x**2])
assert SQ != M.submodule([2, 1, 0])
assert SQ != M
assert M.is_submodule(SQ)
assert not SQ.is_full_module()
raises(ValueError, lambda: N/F)
raises(ValueError, lambda: F.submodule([2, 0, 0]) / N)
raises(ValueError, lambda: R.free_module(2)/F)
raises(CoercionFailed, lambda: F.convert(M.convert([1, x, x**2])))
M1 = F / [[1, 1, 1]]
M2 = M1.submodule([1, 0, 0], [0, 1, 0])
assert M1 == M2
def test_ModulesQuotientRing():
R = QQ.old_poly_ring(x, y, order=(("lex", x), ("ilex", y))) / [x**2 + 1]
M1 = R.free_module(2)
assert M1 == R.free_module(2)
assert M1 != QQ.old_poly_ring(x).free_module(2)
assert M1 != R.free_module(3)
assert [x, 1] in M1
assert [x] not in M1
assert [1/(R.convert(x) + 1), 2] in M1
assert [1, 2/(1 + y)] in M1
assert [1, 2/y] not in M1
assert M1.convert([x**2, y]) == [-1, y]
F = R.free_module(3)
Fd = F.submodule([x**2, 0, 0], [1, 2, 0], [1, 2, 3])
M = F.submodule([x**2 + y**2, 1, 0], [x, y, 1])
assert F == Fd
assert Fd == F
assert F != M
assert M != F
assert Fd != M
assert M != Fd
assert Fd == F.submodule(*F.basis())
assert Fd.is_full_module()
assert not M.is_full_module()
assert not Fd.is_zero()
assert not M.is_zero()
assert Fd.submodule().is_zero()
assert M.contains([x**2 + y**2 + x, -x**2 + y, 1])
assert not M.contains([x**2 + y**2 + x, 1 + y, 2])
assert M.contains([y**2, 1 - x*y, -x])
assert F.submodule([x, 0, 0]) == F.submodule([1, 0, 0])
assert not F.submodule([y, 0, 0]) == F.submodule([1, 0, 0])
assert F.submodule([1, 0, 0], [0, 1, 0]).union(F.submodule([0, 0, 1])) == F
assert not M.is_submodule(0)
def test_module_mul():
R = QQ.old_poly_ring(x)
M = R.free_module(2)
S1 = M.submodule([x, 0], [0, x])
S2 = M.submodule([x**2, 0], [0, x**2])
I = R.ideal(x)
assert I*M == M*I == S1 == x*M == M*x
assert I*S1 == S2 == x*S1
def test_intersection():
# SCA, example 2.8.5
F = QQ.old_poly_ring(x, y).free_module(2)
M1 = F.submodule([x, y], [y, 1])
M2 = F.submodule([0, y - 1], [x, 1], [y, x])
I = F.submodule([x, y], [y**2 - y, y - 1], [x*y + y, x + 1])
I1, rel1, rel2 = M1.intersect(M2, relations=True)
assert I1 == M2.intersect(M1) == I
for i, g in enumerate(I1.gens):
assert g == sum(c*x for c, x in zip(rel1[i], M1.gens)) \
== sum(d*y for d, y in zip(rel2[i], M2.gens))
assert F.submodule([x, y]).intersect(F.submodule([y, x])).is_zero()
def test_quotient():
# SCA, example 2.8.6
R = QQ.old_poly_ring(x, y, z)
F = R.free_module(2)
assert F.submodule([x*y, x*z], [y*z, x*y]).module_quotient(
F.submodule([y, z], [z, y])) == QQ.old_poly_ring(x, y, z).ideal(x**2*y**2 - x*y*z**2)
assert F.submodule([x, y]).module_quotient(F.submodule()).is_whole_ring()
M = F.submodule([x**2, x**2], [y**2, y**2])
N = F.submodule([x + y, x + y])
q, rel = M.module_quotient(N, relations=True)
assert q == R.ideal(y**2, x - y)
for i, g in enumerate(q.gens):
assert g*N.gens[0] == sum(c*x for c, x in zip(rel[i], M.gens))
def test_groebner_extendend():
M = QQ.old_poly_ring(x, y, z).free_module(3).submodule([x + 1, y, 1], [x*y, z, z**2])
G, R = M._groebner_vec(extended=True)
for i, g in enumerate(G):
assert g == sum(c*gen for c, gen in zip(R[i], M.gens))
|
bsd-3-clause
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simonwydooghe/ansible
|
lib/ansible/modules/cloud/azure/azure_rm_resource_info.py
|
28
|
17641
|
#!/usr/bin/python
#
# Copyright (c) 2018 Zim Kalinowski, <zikalino@microsoft.com>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: azure_rm_resource_info
version_added: "2.9"
short_description: Generic facts of Azure resources
description:
- Obtain facts of any resource using Azure REST API.
- This module gives access to resources that are not supported via Ansible modules.
- Refer to U(https://docs.microsoft.com/en-us/rest/api/) regarding details related to specific resource REST API.
options:
url:
description:
- Azure RM Resource URL.
api_version:
description:
- Specific API version to be used.
provider:
description:
- Provider type, should be specified in no URL is given.
resource_group:
description:
- Resource group to be used.
- Required if URL is not specified.
resource_type:
description:
- Resource type.
resource_name:
description:
- Resource name.
subresource:
description:
- List of subresources.
suboptions:
namespace:
description:
- Subresource namespace.
type:
description:
- Subresource type.
name:
description:
- Subresource name.
extends_documentation_fragment:
- azure
author:
- Zim Kalinowski (@zikalino)
'''
EXAMPLES = '''
- name: Get scaleset info
azure_rm_resource_info:
resource_group: myResourceGroup
provider: compute
resource_type: virtualmachinescalesets
resource_name: myVmss
api_version: "2017-12-01"
- name: Query all the resources in the resource group
azure_rm_resource_info:
resource_group: "{{ resource_group }}"
resource_type: resources
'''
RETURN = '''
response:
description:
- Response specific to resource type.
returned: always
type: complex
contains:
id:
description:
- Id of the Azure resource.
type: str
returned: always
sample: "/subscriptions/xxxx...xxxx/resourceGroups/v-xisuRG/providers/Microsoft.Compute/virtualMachines/myVM"
location:
description:
- Resource location.
type: str
returned: always
sample: eastus
name:
description:
- Resource name.
type: str
returned: always
sample: myVM
properties:
description:
- Specifies the virtual machine's property.
type: complex
returned: always
contains:
diagnosticsProfile:
description:
- Specifies the boot diagnostic settings state.
type: complex
returned: always
contains:
bootDiagnostics:
description:
- A debugging feature, which to view Console Output and Screenshot to diagnose VM status.
type: dict
returned: always
sample: {
"enabled": true,
"storageUri": "https://vxisurgdiag.blob.core.windows.net/"
}
hardwareProfile:
description:
- Specifies the hardware settings for the virtual machine.
type: dict
returned: always
sample: {
"vmSize": "Standard_D2s_v3"
}
networkProfile:
description:
- Specifies the network interfaces of the virtual machine.
type: complex
returned: always
contains:
networkInterfaces:
description:
- Describes a network interface reference.
type: list
returned: always
sample:
- {
"id": "/subscriptions/xxxx...xxxx/resourceGroups/v-xisuRG/providers/Microsoft.Network/networkInterfaces/myvm441"
}
osProfile:
description:
- Specifies the operating system settings for the virtual machine.
type: complex
returned: always
contains:
adminUsername:
description:
- Specifies the name of the administrator account.
type: str
returned: always
sample: azureuser
allowExtensionOperations:
description:
- Specifies whether extension operations should be allowed on the virtual machine.
- This may only be set to False when no extensions are present on the virtual machine.
type: bool
returned: always
sample: true
computerName:
description:
- Specifies the host OS name of the virtual machine.
type: str
returned: always
sample: myVM
requireGuestProvisionSignale:
description:
- Specifies the host require guest provision signal or not.
type: bool
returned: always
sample: true
secrets:
description:
- Specifies set of certificates that should be installed onto the virtual machine.
type: list
returned: always
sample: []
linuxConfiguration:
description:
- Specifies the Linux operating system settings on the virtual machine.
type: dict
returned: when OS type is Linux
sample: {
"disablePasswordAuthentication": false,
"provisionVMAgent": true
}
provisioningState:
description:
- The provisioning state.
type: str
returned: always
sample: Succeeded
vmID:
description:
- Specifies the VM unique ID which is a 128-bits identifier that is encoded and stored in all Azure laaS VMs SMBIOS.
- It can be read using platform BIOS commands.
type: str
returned: always
sample: "eb86d9bb-6725-4787-a487-2e497d5b340c"
storageProfile:
description:
- Specifies the storage account type for the managed disk.
type: complex
returned: always
contains:
dataDisks:
description:
- Specifies the parameters that are used to add a data disk to virtual machine.
type: list
returned: always
sample:
- {
"caching": "None",
"createOption": "Attach",
"diskSizeGB": 1023,
"lun": 2,
"managedDisk": {
"id": "/subscriptions/xxxx....xxxx/resourceGroups/V-XISURG/providers/Microsoft.Compute/disks/testdisk2",
"storageAccountType": "StandardSSD_LRS"
},
"name": "testdisk2"
}
- {
"caching": "None",
"createOption": "Attach",
"diskSizeGB": 1023,
"lun": 1,
"managedDisk": {
"id": "/subscriptions/xxxx...xxxx/resourceGroups/V-XISURG/providers/Microsoft.Compute/disks/testdisk3",
"storageAccountType": "StandardSSD_LRS"
},
"name": "testdisk3"
}
imageReference:
description:
- Specifies information about the image to use.
type: dict
returned: always
sample: {
"offer": "UbuntuServer",
"publisher": "Canonical",
"sku": "18.04-LTS",
"version": "latest"
}
osDisk:
description:
- Specifies information about the operating system disk used by the virtual machine.
type: dict
returned: always
sample: {
"caching": "ReadWrite",
"createOption": "FromImage",
"diskSizeGB": 30,
"managedDisk": {
"id": "/subscriptions/xxx...xxxx/resourceGroups/v-xisuRG/providers/Microsoft.Compute/disks/myVM_disk1_xxx",
"storageAccountType": "Premium_LRS"
},
"name": "myVM_disk1_xxx",
"osType": "Linux"
}
type:
description:
- The type of identity used for the virtual machine.
type: str
returned: always
sample: "Microsoft.Compute/virtualMachines"
'''
from ansible.module_utils.azure_rm_common import AzureRMModuleBase
from ansible.module_utils.azure_rm_common_rest import GenericRestClient
try:
from msrestazure.azure_exceptions import CloudError
from msrest.service_client import ServiceClient
from msrestazure.tools import resource_id, is_valid_resource_id
import json
except ImportError:
# This is handled in azure_rm_common
pass
class AzureRMResourceInfo(AzureRMModuleBase):
def __init__(self):
# define user inputs into argument
self.module_arg_spec = dict(
url=dict(
type='str'
),
provider=dict(
type='str'
),
resource_group=dict(
type='str'
),
resource_type=dict(
type='str'
),
resource_name=dict(
type='str'
),
subresource=dict(
type='list',
default=[]
),
api_version=dict(
type='str'
)
)
# store the results of the module operation
self.results = dict(
response=[]
)
self.mgmt_client = None
self.url = None
self.api_version = None
self.provider = None
self.resource_group = None
self.resource_type = None
self.resource_name = None
self.subresource = []
super(AzureRMResourceInfo, self).__init__(self.module_arg_spec, supports_tags=False)
def exec_module(self, **kwargs):
is_old_facts = self.module._name == 'azure_rm_resource_facts'
if is_old_facts:
self.module.deprecate("The 'azure_rm_resource_facts' module has been renamed to 'azure_rm_resource_info'", version='2.13')
for key in self.module_arg_spec:
setattr(self, key, kwargs[key])
self.mgmt_client = self.get_mgmt_svc_client(GenericRestClient,
base_url=self._cloud_environment.endpoints.resource_manager)
if self.url is None:
orphan = None
rargs = dict()
rargs['subscription'] = self.subscription_id
rargs['resource_group'] = self.resource_group
if not (self.provider is None or self.provider.lower().startswith('.microsoft')):
rargs['namespace'] = "Microsoft." + self.provider
else:
rargs['namespace'] = self.provider
if self.resource_type is not None and self.resource_name is not None:
rargs['type'] = self.resource_type
rargs['name'] = self.resource_name
for i in range(len(self.subresource)):
resource_ns = self.subresource[i].get('namespace', None)
resource_type = self.subresource[i].get('type', None)
resource_name = self.subresource[i].get('name', None)
if resource_type is not None and resource_name is not None:
rargs['child_namespace_' + str(i + 1)] = resource_ns
rargs['child_type_' + str(i + 1)] = resource_type
rargs['child_name_' + str(i + 1)] = resource_name
else:
orphan = resource_type
else:
orphan = self.resource_type
self.url = resource_id(**rargs)
if orphan is not None:
self.url += '/' + orphan
# if api_version was not specified, get latest one
if not self.api_version:
try:
# extract provider and resource type
if "/providers/" in self.url:
provider = self.url.split("/providers/")[1].split("/")[0]
resourceType = self.url.split(provider + "/")[1].split("/")[0]
url = "/subscriptions/" + self.subscription_id + "/providers/" + provider
api_versions = json.loads(self.mgmt_client.query(url, "GET", {'api-version': '2015-01-01'}, None, None, [200], 0, 0).text)
for rt in api_versions['resourceTypes']:
if rt['resourceType'].lower() == resourceType.lower():
self.api_version = rt['apiVersions'][0]
break
else:
# if there's no provider in API version, assume Microsoft.Resources
self.api_version = '2018-05-01'
if not self.api_version:
self.fail("Couldn't find api version for {0}/{1}".format(provider, resourceType))
except Exception as exc:
self.fail("Failed to obtain API version: {0}".format(str(exc)))
self.results['url'] = self.url
query_parameters = {}
query_parameters['api-version'] = self.api_version
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
skiptoken = None
while True:
if skiptoken:
query_parameters['skiptoken'] = skiptoken
response = self.mgmt_client.query(self.url, "GET", query_parameters, header_parameters, None, [200, 404], 0, 0)
try:
response = json.loads(response.text)
if isinstance(response, dict):
if response.get('value'):
self.results['response'] = self.results['response'] + response['value']
skiptoken = response.get('nextLink')
else:
self.results['response'] = self.results['response'] + [response]
except Exception as e:
self.fail('Failed to parse response: ' + str(e))
if not skiptoken:
break
return self.results
def main():
AzureRMResourceInfo()
if __name__ == '__main__':
main()
|
gpl-3.0
|
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GenoaIO/ews-python-suds
|
src/suds/wsdl.py
|
197
|
31503
|
# This program is free software; you can redistribute it and/or modify
# it under the terms of the (LGPL) GNU Lesser General Public License as
# published by the Free Software Foundation; either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library Lesser General Public License for more details at
# ( http://www.gnu.org/licenses/lgpl.html ).
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
# written by: Jeff Ortel ( jortel@redhat.com )
"""
The I{wsdl} module provides an objectification of the WSDL.
The primary class is I{Definitions} as it represends the root element
found in the document.
"""
from logging import getLogger
from suds import *
from suds.sax import splitPrefix
from suds.sax.element import Element
from suds.bindings.document import Document
from suds.bindings.rpc import RPC, Encoded
from suds.xsd import qualify, Namespace
from suds.xsd.schema import Schema, SchemaCollection
from suds.xsd.query import ElementQuery
from suds.sudsobject import Object, Facade, Metadata
from suds.reader import DocumentReader, DefinitionsReader
from urlparse import urljoin
import re, soaparray
log = getLogger(__name__)
wsdlns = (None, "http://schemas.xmlsoap.org/wsdl/")
soapns = (None, 'http://schemas.xmlsoap.org/wsdl/soap/')
soap12ns = (None, 'http://schemas.xmlsoap.org/wsdl/soap12/')
class WObject(Object):
"""
Base object for wsdl types.
@ivar root: The XML I{root} element.
@type root: L{Element}
"""
def __init__(self, root, definitions=None):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
Object.__init__(self)
self.root = root
pmd = Metadata()
pmd.excludes = ['root']
pmd.wrappers = dict(qname=repr)
self.__metadata__.__print__ = pmd
def resolve(self, definitions):
"""
Resolve named references to other WSDL objects.
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
pass
class NamedObject(WObject):
"""
A B{named} WSDL object.
@ivar name: The name of the object.
@type name: str
@ivar qname: The I{qualified} name of the object.
@type qname: (name, I{namespace-uri}).
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
WObject.__init__(self, root, definitions)
self.name = root.get('name')
self.qname = (self.name, definitions.tns[1])
pmd = self.__metadata__.__print__
pmd.wrappers['qname'] = repr
class Definitions(WObject):
"""
Represents the I{root} container of the WSDL objects as defined
by <wsdl:definitions/>
@ivar id: The object id.
@type id: str
@ivar options: An options dictionary.
@type options: L{options.Options}
@ivar url: The URL used to load the object.
@type url: str
@ivar tns: The target namespace for the WSDL.
@type tns: str
@ivar schema: The collective WSDL schema object.
@type schema: L{SchemaCollection}
@ivar children: The raw list of child objects.
@type children: [L{WObject},...]
@ivar imports: The list of L{Import} children.
@type imports: [L{Import},...]
@ivar messages: The dictionary of L{Message} children key'd by I{qname}
@type messages: [L{Message},...]
@ivar port_types: The dictionary of L{PortType} children key'd by I{qname}
@type port_types: [L{PortType},...]
@ivar bindings: The dictionary of L{Binding} children key'd by I{qname}
@type bindings: [L{Binding},...]
@ivar service: The service object.
@type service: L{Service}
"""
Tag = 'definitions'
def __init__(self, url, options):
"""
@param url: A URL to the WSDL.
@type url: str
@param options: An options dictionary.
@type options: L{options.Options}
"""
log.debug('reading wsdl at: %s ...', url)
reader = DocumentReader(options)
d = reader.open(url)
root = d.root()
WObject.__init__(self, root)
self.id = objid(self)
self.options = options
self.url = url
self.tns = self.mktns(root)
self.types = []
self.schema = None
self.children = []
self.imports = []
self.messages = {}
self.port_types = {}
self.bindings = {}
self.services = []
self.add_children(self.root)
self.children.sort()
pmd = self.__metadata__.__print__
pmd.excludes.append('children')
pmd.excludes.append('wsdl')
pmd.wrappers['schema'] = repr
self.open_imports()
self.resolve()
self.build_schema()
self.set_wrapped()
for s in self.services:
self.add_methods(s)
log.debug("wsdl at '%s' loaded:\n%s", url, self)
def mktns(self, root):
""" Get/create the target namespace """
tns = root.get('targetNamespace')
prefix = root.findPrefix(tns)
if prefix is None:
log.debug('warning: tns (%s), not mapped to prefix', tns)
prefix = 'tns'
return (prefix, tns)
def add_children(self, root):
""" Add child objects using the factory """
for c in root.getChildren(ns=wsdlns):
child = Factory.create(c, self)
if child is None: continue
self.children.append(child)
if isinstance(child, Import):
self.imports.append(child)
continue
if isinstance(child, Types):
self.types.append(child)
continue
if isinstance(child, Message):
self.messages[child.qname] = child
continue
if isinstance(child, PortType):
self.port_types[child.qname] = child
continue
if isinstance(child, Binding):
self.bindings[child.qname] = child
continue
if isinstance(child, Service):
self.services.append(child)
continue
def open_imports(self):
""" Import the I{imported} WSDLs. """
for imp in self.imports:
imp.load(self)
def resolve(self):
""" Tell all children to resolve themselves """
for c in self.children:
c.resolve(self)
def build_schema(self):
""" Process L{Types} objects and create the schema collection """
container = SchemaCollection(self)
for t in [t for t in self.types if t.local()]:
for root in t.contents():
schema = Schema(root, self.url, self.options, container)
container.add(schema)
if not len(container): # empty
root = Element.buildPath(self.root, 'types/schema')
schema = Schema(root, self.url, self.options, container)
container.add(schema)
self.schema = container.load(self.options)
for s in [t.schema() for t in self.types if t.imported()]:
self.schema.merge(s)
return self.schema
def add_methods(self, service):
""" Build method view for service """
bindings = {
'document/literal' : Document(self),
'rpc/literal' : RPC(self),
'rpc/encoded' : Encoded(self)
}
for p in service.ports:
binding = p.binding
ptype = p.binding.type
operations = p.binding.type.operations.values()
for name in [op.name for op in operations]:
m = Facade('Method')
m.name = name
m.location = p.location
m.binding = Facade('binding')
op = binding.operation(name)
m.soap = op.soap
key = '/'.join((op.soap.style, op.soap.input.body.use))
m.binding.input = bindings.get(key)
key = '/'.join((op.soap.style, op.soap.output.body.use))
m.binding.output = bindings.get(key)
op = ptype.operation(name)
p.methods[name] = m
def set_wrapped(self):
""" set (wrapped|bare) flag on messages """
for b in self.bindings.values():
for op in b.operations.values():
for body in (op.soap.input.body, op.soap.output.body):
body.wrapped = False
if len(body.parts) != 1:
continue
for p in body.parts:
if p.element is None:
continue
query = ElementQuery(p.element)
pt = query.execute(self.schema)
if pt is None:
raise TypeNotFound(query.ref)
resolved = pt.resolve()
if resolved.builtin():
continue
body.wrapped = True
def __getstate__(self):
nopickle = ('options',)
state = self.__dict__.copy()
for k in nopickle:
if k in state:
del state[k]
return state
def __repr__(self):
return 'Definitions (id=%s)' % self.id
class Import(WObject):
"""
Represents the <wsdl:import/>.
@ivar location: The value of the I{location} attribute.
@type location: str
@ivar ns: The value of the I{namespace} attribute.
@type ns: str
@ivar imported: The imported object.
@type imported: L{Definitions}
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
WObject.__init__(self, root, definitions)
self.location = root.get('location')
self.ns = root.get('namespace')
self.imported = None
pmd = self.__metadata__.__print__
pmd.wrappers['imported'] = repr
def load(self, definitions):
""" Load the object by opening the URL """
url = self.location
log.debug('importing (%s)', url)
if '://' not in url:
url = urljoin(definitions.url, url)
options = definitions.options
d = Definitions(url, options)
if d.root.match(Definitions.Tag, wsdlns):
self.import_definitions(definitions, d)
return
if d.root.match(Schema.Tag, Namespace.xsdns):
self.import_schema(definitions, d)
return
raise Exception('document at "%s" is unknown' % url)
def import_definitions(self, definitions, d):
""" import/merge wsdl definitions """
definitions.types += d.types
definitions.messages.update(d.messages)
definitions.port_types.update(d.port_types)
definitions.bindings.update(d.bindings)
self.imported = d
log.debug('imported (WSDL):\n%s', d)
def import_schema(self, definitions, d):
""" import schema as <types/> content """
if not len(definitions.types):
types = Types.create(definitions)
definitions.types.append(types)
else:
types = definitions.types[-1]
types.root.append(d.root)
log.debug('imported (XSD):\n%s', d.root)
def __gt__(self, other):
return False
class Types(WObject):
"""
Represents <types><schema/></types>.
"""
@classmethod
def create(cls, definitions):
root = Element('types', ns=wsdlns)
definitions.root.insert(root)
return Types(root, definitions)
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
WObject.__init__(self, root, definitions)
self.definitions = definitions
def contents(self):
return self.root.getChildren('schema', Namespace.xsdns)
def schema(self):
return self.definitions.schema
def local(self):
return ( self.definitions.schema is None )
def imported(self):
return ( not self.local() )
def __gt__(self, other):
return isinstance(other, Import)
class Part(NamedObject):
"""
Represents <message><part/></message>.
@ivar element: The value of the {element} attribute.
Stored as a I{qref} as converted by L{suds.xsd.qualify}.
@type element: str
@ivar type: The value of the {type} attribute.
Stored as a I{qref} as converted by L{suds.xsd.qualify}.
@type type: str
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
NamedObject.__init__(self, root, definitions)
pmd = Metadata()
pmd.wrappers = dict(element=repr, type=repr)
self.__metadata__.__print__ = pmd
tns = definitions.tns
self.element = self.__getref('element', tns)
self.type = self.__getref('type', tns)
def __getref(self, a, tns):
""" Get the qualified value of attribute named 'a'."""
s = self.root.get(a)
if s is None:
return s
else:
return qualify(s, self.root, tns)
class Message(NamedObject):
"""
Represents <message/>.
@ivar parts: A list of message parts.
@type parts: [I{Part},...]
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
NamedObject.__init__(self, root, definitions)
self.parts = []
for p in root.getChildren('part'):
part = Part(p, definitions)
self.parts.append(part)
def __gt__(self, other):
return isinstance(other, (Import, Types))
class PortType(NamedObject):
"""
Represents <portType/>.
@ivar operations: A list of contained operations.
@type operations: list
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
NamedObject.__init__(self, root, definitions)
self.operations = {}
for c in root.getChildren('operation'):
op = Facade('Operation')
op.name = c.get('name')
op.tns = definitions.tns
input = c.getChild('input')
if input is None:
op.input = None
else:
op.input = input.get('message')
output = c.getChild('output')
if output is None:
op.output = None
else:
op.output = output.get('message')
faults = []
for fault in c.getChildren('fault'):
f = Facade('Fault')
f.name = fault.get('name')
f.message = fault.get('message')
faults.append(f)
op.faults = faults
self.operations[op.name] = op
def resolve(self, definitions):
"""
Resolve named references to other WSDL objects.
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
for op in self.operations.values():
if op.input is None:
op.input = Message(Element('no-input'), definitions)
else:
qref = qualify(op.input, self.root, definitions.tns)
msg = definitions.messages.get(qref)
if msg is None:
raise Exception("msg '%s', not-found" % op.input)
else:
op.input = msg
if op.output is None:
op.output = Message(Element('no-output'), definitions)
else:
qref = qualify(op.output, self.root, definitions.tns)
msg = definitions.messages.get(qref)
if msg is None:
raise Exception("msg '%s', not-found" % op.output)
else:
op.output = msg
for f in op.faults:
qref = qualify(f.message, self.root, definitions.tns)
msg = definitions.messages.get(qref)
if msg is None:
raise Exception, "msg '%s', not-found" % f.message
f.message = msg
def operation(self, name):
"""
Shortcut used to get a contained operation by name.
@param name: An operation name.
@type name: str
@return: The named operation.
@rtype: Operation
@raise L{MethodNotFound}: When not found.
"""
try:
return self.operations[name]
except Exception, e:
raise MethodNotFound(name)
def __gt__(self, other):
return isinstance(other, (Import, Types, Message))
class Binding(NamedObject):
"""
Represents <binding/>
@ivar operations: A list of contained operations.
@type operations: list
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
NamedObject.__init__(self, root, definitions)
self.operations = {}
self.type = root.get('type')
sr = self.soaproot()
if sr is None:
self.soap = None
log.debug('binding: "%s" not a soap binding', self.name)
return
soap = Facade('soap')
self.soap = soap
self.soap.style = sr.get('style', default='document')
self.add_operations(self.root, definitions)
def soaproot(self):
""" get the soap:binding """
for ns in (soapns, soap12ns):
sr = self.root.getChild('binding', ns=ns)
if sr is not None:
return sr
return None
def add_operations(self, root, definitions):
""" Add <operation/> children """
dsop = Element('operation', ns=soapns)
for c in root.getChildren('operation'):
op = Facade('Operation')
op.name = c.get('name')
sop = c.getChild('operation', default=dsop)
soap = Facade('soap')
soap.action = '"%s"' % sop.get('soapAction', default='')
soap.style = sop.get('style', default=self.soap.style)
soap.input = Facade('Input')
soap.input.body = Facade('Body')
soap.input.headers = []
soap.output = Facade('Output')
soap.output.body = Facade('Body')
soap.output.headers = []
op.soap = soap
input = c.getChild('input')
if input is None:
input = Element('input', ns=wsdlns)
body = input.getChild('body')
self.body(definitions, soap.input.body, body)
for header in input.getChildren('header'):
self.header(definitions, soap.input, header)
output = c.getChild('output')
if output is None:
output = Element('output', ns=wsdlns)
body = output.getChild('body')
self.body(definitions, soap.output.body, body)
for header in output.getChildren('header'):
self.header(definitions, soap.output, header)
faults = []
for fault in c.getChildren('fault'):
sf = fault.getChild('fault')
if sf is None:
continue
fn = fault.get('name')
f = Facade('Fault')
f.name = sf.get('name', default=fn)
f.use = sf.get('use', default='literal')
faults.append(f)
soap.faults = faults
self.operations[op.name] = op
def body(self, definitions, body, root):
""" add the input/output body properties """
if root is None:
body.use = 'literal'
body.namespace = definitions.tns
body.parts = ()
return
parts = root.get('parts')
if parts is None:
body.parts = ()
else:
body.parts = re.split('[\s,]', parts)
body.use = root.get('use', default='literal')
ns = root.get('namespace')
if ns is None:
body.namespace = definitions.tns
else:
prefix = root.findPrefix(ns, 'b0')
body.namespace = (prefix, ns)
def header(self, definitions, parent, root):
""" add the input/output header properties """
if root is None:
return
header = Facade('Header')
parent.headers.append(header)
header.use = root.get('use', default='literal')
ns = root.get('namespace')
if ns is None:
header.namespace = definitions.tns
else:
prefix = root.findPrefix(ns, 'h0')
header.namespace = (prefix, ns)
msg = root.get('message')
if msg is not None:
header.message = msg
part = root.get('part')
if part is not None:
header.part = part
def resolve(self, definitions):
"""
Resolve named references to other WSDL objects. This includes
cross-linking information (from) the portType (to) the I{soap}
protocol information on the binding for each operation.
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
self.resolveport(definitions)
for op in self.operations.values():
self.resolvesoapbody(definitions, op)
self.resolveheaders(definitions, op)
self.resolvefaults(definitions, op)
def resolveport(self, definitions):
"""
Resolve port_type reference.
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
ref = qualify(self.type, self.root, definitions.tns)
port_type = definitions.port_types.get(ref)
if port_type is None:
raise Exception("portType '%s', not-found" % self.type)
else:
self.type = port_type
def resolvesoapbody(self, definitions, op):
"""
Resolve soap body I{message} parts by
cross-referencing with operation defined in port type.
@param definitions: A definitions object.
@type definitions: L{Definitions}
@param op: An I{operation} object.
@type op: I{operation}
"""
ptop = self.type.operation(op.name)
if ptop is None:
raise Exception, \
"operation '%s' not defined in portType" % op.name
soap = op.soap
parts = soap.input.body.parts
if len(parts):
pts = []
for p in ptop.input.parts:
if p.name in parts:
pts.append(p)
soap.input.body.parts = pts
else:
soap.input.body.parts = ptop.input.parts
parts = soap.output.body.parts
if len(parts):
pts = []
for p in ptop.output.parts:
if p.name in parts:
pts.append(p)
soap.output.body.parts = pts
else:
soap.output.body.parts = ptop.output.parts
def resolveheaders(self, definitions, op):
"""
Resolve soap header I{message} references.
@param definitions: A definitions object.
@type definitions: L{Definitions}
@param op: An I{operation} object.
@type op: I{operation}
"""
soap = op.soap
headers = soap.input.headers + soap.output.headers
for header in headers:
mn = header.message
ref = qualify(mn, self.root, definitions.tns)
message = definitions.messages.get(ref)
if message is None:
raise Exception, "message'%s', not-found" % mn
pn = header.part
for p in message.parts:
if p.name == pn:
header.part = p
break
if pn == header.part:
raise Exception, \
"message '%s' has not part named '%s'" % (ref, pn)
def resolvefaults(self, definitions, op):
"""
Resolve soap fault I{message} references by
cross-referencing with operation defined in port type.
@param definitions: A definitions object.
@type definitions: L{Definitions}
@param op: An I{operation} object.
@type op: I{operation}
"""
ptop = self.type.operation(op.name)
if ptop is None:
raise Exception, \
"operation '%s' not defined in portType" % op.name
soap = op.soap
for fault in soap.faults:
for f in ptop.faults:
if f.name == fault.name:
fault.parts = f.message.parts
continue
if hasattr(fault, 'parts'):
continue
raise Exception, \
"fault '%s' not defined in portType '%s'" % (fault.name, self.type.name)
def operation(self, name):
"""
Shortcut used to get a contained operation by name.
@param name: An operation name.
@type name: str
@return: The named operation.
@rtype: Operation
@raise L{MethodNotFound}: When not found.
"""
try:
return self.operations[name]
except:
raise MethodNotFound(name)
def __gt__(self, other):
return ( not isinstance(other, Service) )
class Port(NamedObject):
"""
Represents a service port.
@ivar service: A service.
@type service: L{Service}
@ivar binding: A binding name.
@type binding: str
@ivar location: The service location (url).
@type location: str
"""
def __init__(self, root, definitions, service):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
@param service: A service object.
@type service: L{Service}
"""
NamedObject.__init__(self, root, definitions)
self.__service = service
self.binding = root.get('binding')
address = root.getChild('address')
if address is None:
self.location = None
else:
self.location = address.get('location').encode('utf-8')
self.methods = {}
def method(self, name):
"""
Get a method defined in this portType by name.
@param name: A method name.
@type name: str
@return: The requested method object.
@rtype: I{Method}
"""
return self.methods.get(name)
class Service(NamedObject):
"""
Represents <service/>.
@ivar port: The contained ports.
@type port: [Port,..]
@ivar methods: The contained methods for all ports.
@type methods: [Method,..]
"""
def __init__(self, root, definitions):
"""
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
NamedObject.__init__(self, root, definitions)
self.ports = []
for p in root.getChildren('port'):
port = Port(p, definitions, self)
self.ports.append(port)
def port(self, name):
"""
Locate a port by name.
@param name: A port name.
@type name: str
@return: The port object.
@rtype: L{Port}
"""
for p in self.ports:
if p.name == name:
return p
return None
def setlocation(self, url, names=None):
"""
Override the invocation location (url) for service method.
@param url: A url location.
@type url: A url.
@param names: A list of method names. None=ALL
@type names: [str,..]
"""
for p in self.ports:
for m in p.methods.values():
if names is None or m.name in names:
m.location = url
def resolve(self, definitions):
"""
Resolve named references to other WSDL objects.
Ports without soap bindings are discarded.
@param definitions: A definitions object.
@type definitions: L{Definitions}
"""
filtered = []
for p in self.ports:
ref = qualify(p.binding, self.root, definitions.tns)
binding = definitions.bindings.get(ref)
if binding is None:
raise Exception("binding '%s', not-found" % p.binding)
if binding.soap is None:
log.debug('binding "%s" - not a soap, discarded', binding.name)
continue
p.binding = binding
filtered.append(p)
self.ports = filtered
def __gt__(self, other):
return True
class Factory:
"""
Simple WSDL object factory.
@cvar tags: Dictionary of tag->constructor mappings.
@type tags: dict
"""
tags =\
{
'import' : Import,
'types' : Types,
'message' : Message,
'portType' : PortType,
'binding' : Binding,
'service' : Service,
}
@classmethod
def create(cls, root, definitions):
"""
Create an object based on the root tag name.
@param root: An XML root element.
@type root: L{Element}
@param definitions: A definitions object.
@type definitions: L{Definitions}
@return: The created object.
@rtype: L{WObject}
"""
fn = cls.tags.get(root.name)
if fn is not None:
return fn(root, definitions)
else:
return None
|
bsd-2-clause
|
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] |
wsmith323/django
|
django/template/smartif.py
|
69
|
6197
|
"""
Parser and utilities for the smart 'if' tag
"""
# Using a simple top down parser, as described here:
# http://effbot.org/zone/simple-top-down-parsing.htm.
# 'led' = left denotation
# 'nud' = null denotation
# 'bp' = binding power (left = lbp, right = rbp)
class TokenBase(object):
"""
Base class for operators and literals, mainly for debugging and for throwing
syntax errors.
"""
id = None # node/token type name
value = None # used by literals
first = second = None # used by tree nodes
def nud(self, parser):
# Null denotation - called in prefix context
raise parser.error_class(
"Not expecting '%s' in this position in if tag." % self.id
)
def led(self, left, parser):
# Left denotation - called in infix context
raise parser.error_class(
"Not expecting '%s' as infix operator in if tag." % self.id
)
def display(self):
"""
Returns what to display in error messages for this node
"""
return self.id
def __repr__(self):
out = [str(x) for x in [self.id, self.first, self.second] if x is not None]
return "(" + " ".join(out) + ")"
def infix(bp, func):
"""
Creates an infix operator, given a binding power and a function that
evaluates the node
"""
class Operator(TokenBase):
lbp = bp
def led(self, left, parser):
self.first = left
self.second = parser.expression(bp)
return self
def eval(self, context):
try:
return func(context, self.first, self.second)
except Exception:
# Templates shouldn't throw exceptions when rendering. We are
# most likely to get exceptions for things like {% if foo in bar
# %} where 'bar' does not support 'in', so default to False
return False
return Operator
def prefix(bp, func):
"""
Creates a prefix operator, given a binding power and a function that
evaluates the node.
"""
class Operator(TokenBase):
lbp = bp
def nud(self, parser):
self.first = parser.expression(bp)
self.second = None
return self
def eval(self, context):
try:
return func(context, self.first)
except Exception:
return False
return Operator
# Operator precedence follows Python.
# NB - we can get slightly more accurate syntax error messages by not using the
# same object for '==' and '='.
# We defer variable evaluation to the lambda to ensure that terms are
# lazily evaluated using Python's boolean parsing logic.
OPERATORS = {
'or': infix(6, lambda context, x, y: x.eval(context) or y.eval(context)),
'and': infix(7, lambda context, x, y: x.eval(context) and y.eval(context)),
'not': prefix(8, lambda context, x: not x.eval(context)),
'in': infix(9, lambda context, x, y: x.eval(context) in y.eval(context)),
'not in': infix(9, lambda context, x, y: x.eval(context) not in y.eval(context)),
'==': infix(10, lambda context, x, y: x.eval(context) == y.eval(context)),
'!=': infix(10, lambda context, x, y: x.eval(context) != y.eval(context)),
'>': infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),
'>=': infix(10, lambda context, x, y: x.eval(context) >= y.eval(context)),
'<': infix(10, lambda context, x, y: x.eval(context) < y.eval(context)),
'<=': infix(10, lambda context, x, y: x.eval(context) <= y.eval(context)),
}
# Assign 'id' to each:
for key, op in OPERATORS.items():
op.id = key
class Literal(TokenBase):
"""
A basic self-resolvable object similar to a Django template variable.
"""
# IfParser uses Literal in create_var, but TemplateIfParser overrides
# create_var so that a proper implementation that actually resolves
# variables, filters etc is used.
id = "literal"
lbp = 0
def __init__(self, value):
self.value = value
def display(self):
return repr(self.value)
def nud(self, parser):
return self
def eval(self, context):
return self.value
def __repr__(self):
return "(%s %r)" % (self.id, self.value)
class EndToken(TokenBase):
lbp = 0
def nud(self, parser):
raise parser.error_class("Unexpected end of expression in if tag.")
EndToken = EndToken()
class IfParser(object):
error_class = ValueError
def __init__(self, tokens):
# pre-pass necessary to turn 'not','in' into single token
l = len(tokens)
mapped_tokens = []
i = 0
while i < l:
token = tokens[i]
if token == "not" and i + 1 < l and tokens[i + 1] == "in":
token = "not in"
i += 1 # skip 'in'
mapped_tokens.append(self.translate_token(token))
i += 1
self.tokens = mapped_tokens
self.pos = 0
self.current_token = self.next_token()
def translate_token(self, token):
try:
op = OPERATORS[token]
except (KeyError, TypeError):
return self.create_var(token)
else:
return op()
def next_token(self):
if self.pos >= len(self.tokens):
return EndToken
else:
retval = self.tokens[self.pos]
self.pos += 1
return retval
def parse(self):
retval = self.expression()
# Check that we have exhausted all the tokens
if self.current_token is not EndToken:
raise self.error_class("Unused '%s' at end of if expression." %
self.current_token.display())
return retval
def expression(self, rbp=0):
t = self.current_token
self.current_token = self.next_token()
left = t.nud(self)
while rbp < self.current_token.lbp:
t = self.current_token
self.current_token = self.next_token()
left = t.led(left, self)
return left
def create_var(self, value):
return Literal(value)
|
bsd-3-clause
|
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] |
RogueFrog/calculator
|
lexer_calc.py
|
1
|
1083
|
from types_calc import *
class Lexer:
def setLine(self, line):
self.line = line + ' '
self.tokenizes = []
self.tokenNumber = ''
def tokenize(self):
for i in self.line:
Lexer.tokenizeNumber(self, i)
Lexer.tokenizeMath(self, i)
self.tokenizes.append(Token(EOF, 0))
def tokenizeNumber(self, char):
if char.isdigit():
self.tokenNumber += char
else:
if self.tokenNumber != '':
self.tokenizes.append(Token(NUMBER, int(self.tokenNumber)))
self.tokenNumber = ''
def tokenizeMath(self, char):
if char == '+':
self.tokenizes.append(Token(PLUS, char))
elif char == '-':
self.tokenizes.append(Token(MINUS, char))
elif char == '*':
self.tokenizes.append(Token(STAR, char))
elif char == '/':
self.tokenizes.append(Token(SLASH, char))
class Token:
def __init__(self, token, data):
self.token = token
self.data = data
|
mit
|
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rahul67/hue
|
desktop/core/ext-py/lxml/src/lxml/html/tests/transform_feedparser_data.py
|
28
|
2819
|
"""
This takes the feedparser tests from here:
http://feedparser.org/tests/wellformed/sanitize/
and rewrites them to be easier to handle (not using the internal model
of feedparser). The input format is::
<!--
Description: {description}
Expect: {expression}
-->
...
<content ...>{content}</content>
...
The Expect expression is checked for
``entries[0]['content'][0]['value'] == {data}``.
The output format is::
Description: {description}
Expect: {expression} (if data couldn't be parsed)
Options:
{content, unescaped}
----------
{data, unescaped, if found}
"""
import re
import os
import traceback
_desc_re = re.compile(r'\s*Description:\s*(.*)')
_expect_re = re.compile(r'\s*Expect:\s*(.*)')
_data_expect_re = re.compile(r"entries\[0\]\['[^']+'\](?:\[0\]\['value'\])?\s*==\s*(.*)")
_feed_data_expect_re = re.compile(r"feed\['[^']+'\]\s*==\s*(.*)")
def parse_content(content):
match = _desc_re.search(content)
desc = match.group(1)
match = _expect_re.search(content)
expect = match.group(1)
data = None
for regex in [_data_expect_re, _feed_data_expect_re]:
match = regex.search(expect)
if match:
# Icky, but I'll trust it
data = eval(match.group(1).strip())
break
c = None
for tag in ['content', 'summary', 'title', 'copyright', 'tagline', 'info', 'subtitle', 'fullitem', 'body', 'description', 'content:encoded']:
regex = re.compile(r"<%s.*?>(.*)</%s>" % (tag, tag), re.S)
match = regex.search(content)
if match:
c = match.group(1)
break
assert c is not None
# Seems like body isn't quoted
if tag != 'body':
c = c.replace('<', '<')
c = c.replace('&', '&')
# FIXME: I should really do more unescaping...
return {
'Description': desc,
'Expect': expect,
'data': data,
'content': c}
def serialize_content(d):
s = '''\
Description: %(Description)s
Expect: %(Expect)s
Options:
%(content)s
''' % d
if d.get('data') is not None:
s += '----------\n%s' % d['data']
return s
def translate_file(filename):
f = open(filename, 'rb')
c = f.read()
f.close()
try:
output = serialize_content(parse_content(c))
except:
print 'Bad data in %s:' % filename
print c
traceback.print_exc()
print '-'*60
return
new = os.path.splitext(filename)[0] + '.data'
f = open(new, 'wb')
f.write(output)
f.close()
def translate_all(dir):
for fn in os.listdir(dir):
fn = os.path.join(dir, fn)
if fn.endswith('.xml'):
translate_file(fn)
if __name__ == '__main__':
import sys
translate_all(os.path.join(os.path.dirname(__file__), 'feedparser-data'))
|
apache-2.0
|
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NEricN/RobotCSimulator
|
Python/App/Lib/test/curses_tests.py
|
201
|
1241
|
#!/usr/bin/env python
#
# $Id: ncurses.py 36559 2004-07-18 05:56:09Z tim_one $
#
# Interactive test suite for the curses module.
# This script displays various things and the user should verify whether
# they display correctly.
#
import curses
from curses import textpad
def test_textpad(stdscr, insert_mode=False):
ncols, nlines = 8, 3
uly, ulx = 3, 2
if insert_mode:
mode = 'insert mode'
else:
mode = 'overwrite mode'
stdscr.addstr(uly-3, ulx, "Use Ctrl-G to end editing (%s)." % mode)
stdscr.addstr(uly-2, ulx, "Be sure to try typing in the lower-right corner.")
win = curses.newwin(nlines, ncols, uly, ulx)
textpad.rectangle(stdscr, uly-1, ulx-1, uly + nlines, ulx + ncols)
stdscr.refresh()
box = textpad.Textbox(win, insert_mode)
contents = box.edit()
stdscr.addstr(uly+ncols+2, 0, "Text entered in the box\n")
stdscr.addstr(repr(contents))
stdscr.addstr('\n')
stdscr.addstr('Press any key')
stdscr.getch()
for i in range(3):
stdscr.move(uly+ncols+2 + i, 0)
stdscr.clrtoeol()
def main(stdscr):
stdscr.clear()
test_textpad(stdscr, False)
test_textpad(stdscr, True)
if __name__ == '__main__':
curses.wrapper(main)
|
apache-2.0
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cgstudiomap/cgstudiomap
|
main/eggs/python_stdnum-1.2-py2.7.egg/stdnum/verhoeff.py
|
3
|
3161
|
# verhoeff.py - functions for performing the Verhoeff checksum
#
# Copyright (C) 2010, 2011, 2012, 2013 Arthur de Jong
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
# 02110-1301 USA
"""The Verhoeff algorithm.
The Verhoeff algorithm uses two tables for permutations and
multiplications to calculate a checksum.
>>> validate('1234')
Traceback (most recent call last):
...
InvalidChecksum: ...
>>> checksum('1234')
1
>>> calc_check_digit('1234')
'0'
>>> validate('12340')
'12340'
"""
from stdnum.exceptions import *
# These are the multiplication and permutation tables used in the
# Verhoeff algorithm.
_multiplication_table = (
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[1, 2, 3, 4, 0, 6, 7, 8, 9, 5],
[2, 3, 4, 0, 1, 7, 8, 9, 5, 6],
[3, 4, 0, 1, 2, 8, 9, 5, 6, 7],
[4, 0, 1, 2, 3, 9, 5, 6, 7, 8],
[5, 9, 8, 7, 6, 0, 4, 3, 2, 1],
[6, 5, 9, 8, 7, 1, 0, 4, 3, 2],
[7, 6, 5, 9, 8, 2, 1, 0, 4, 3],
[8, 7, 6, 5, 9, 3, 2, 1, 0, 4],
[9, 8, 7, 6, 5, 4, 3, 2, 1, 0])
_permutation_table = (
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9),
(1, 5, 7, 6, 2, 8, 3, 0, 9, 4),
(5, 8, 0, 3, 7, 9, 6, 1, 4, 2),
(8, 9, 1, 6, 0, 4, 3, 5, 2, 7),
(9, 4, 5, 3, 1, 2, 6, 8, 7, 0),
(4, 2, 8, 6, 5, 7, 3, 9, 0, 1),
(2, 7, 9, 3, 8, 0, 6, 4, 1, 5),
(7, 0, 4, 6, 9, 1, 3, 2, 5, 8))
def checksum(number):
"""Calculate the Verhoeff checksum over the provided number. The checksum
is returned as an int. Valid numbers should have a checksum of 0."""
# transform number list
number = tuple(int(n) for n in reversed(str(number)))
# calculate checksum
check = 0
for i, n in enumerate(number):
check = _multiplication_table[check][_permutation_table[i % 8][n]]
return check
def validate(number):
"""Checks to see if the number provided passes the Verhoeff checksum."""
if not bool(number):
raise InvalidFormat()
try:
valid = checksum(number) == 0
except Exception:
raise InvalidFormat()
if not valid:
raise InvalidChecksum()
return number
def is_valid(number):
"""Checks to see if the number provided passes the Verhoeff checksum."""
try:
return bool(validate(number))
except ValidationError:
return False
def calc_check_digit(number):
"""With the provided number, calculate the extra digit that should be
appended to make it pass the Verhoeff checksum."""
return str(_multiplication_table[checksum(str(number) + '0')].index(0))
|
agpl-3.0
|
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pratikmallya/hue
|
desktop/core/ext-py/boto-2.38.0/boto/beanstalk/layer1.py
|
146
|
56259
|
# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/
# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.
# All Rights Reserved
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish, dis-
# tribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the fol-
# lowing conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
#
import boto
import boto.jsonresponse
from boto.compat import json
from boto.regioninfo import RegionInfo
from boto.connection import AWSQueryConnection
class Layer1(AWSQueryConnection):
APIVersion = '2010-12-01'
DefaultRegionName = 'us-east-1'
DefaultRegionEndpoint = 'elasticbeanstalk.us-east-1.amazonaws.com'
def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,
is_secure=True, port=None,
proxy=None, proxy_port=None,
proxy_user=None, proxy_pass=None, debug=0,
https_connection_factory=None, region=None, path='/',
api_version=None, security_token=None, profile_name=None):
if not region:
region = RegionInfo(self, self.DefaultRegionName,
self.DefaultRegionEndpoint)
self.region = region
super(Layer1, self).__init__(aws_access_key_id,
aws_secret_access_key,
is_secure, port, proxy, proxy_port,
proxy_user, proxy_pass,
self.region.endpoint, debug,
https_connection_factory, path,
security_token, profile_name=profile_name)
def _required_auth_capability(self):
return ['hmac-v4']
def _encode_bool(self, v):
v = bool(v)
return {True: "true", False: "false"}[v]
def _get_response(self, action, params, path='/', verb='GET'):
params['ContentType'] = 'JSON'
response = self.make_request(action, params, path, verb)
body = response.read().decode('utf-8')
boto.log.debug(body)
if response.status == 200:
return json.loads(body)
else:
raise self.ResponseError(response.status, response.reason, body)
def check_dns_availability(self, cname_prefix):
"""Checks if the specified CNAME is available.
:type cname_prefix: string
:param cname_prefix: The prefix used when this CNAME is
reserved.
"""
params = {'CNAMEPrefix': cname_prefix}
return self._get_response('CheckDNSAvailability', params)
def create_application(self, application_name, description=None):
"""
Creates an application that has one configuration template
named default and no application versions.
:type application_name: string
:param application_name: The name of the application.
Constraint: This name must be unique within your account. If the
specified name already exists, the action returns an
InvalidParameterValue error.
:type description: string
:param description: Describes the application.
:raises: TooManyApplicationsException
"""
params = {'ApplicationName': application_name}
if description:
params['Description'] = description
return self._get_response('CreateApplication', params)
def create_application_version(self, application_name, version_label,
description=None, s3_bucket=None,
s3_key=None, auto_create_application=None):
"""Creates an application version for the specified application.
:type application_name: string
:param application_name: The name of the application. If no
application is found with this name, and AutoCreateApplication is
false, returns an InvalidParameterValue error.
:type version_label: string
:param version_label: A label identifying this version. Constraint:
Must be unique per application. If an application version already
exists with this label for the specified application, AWS Elastic
Beanstalk returns an InvalidParameterValue error.
:type description: string
:param description: Describes this version.
:type s3_bucket: string
:param s3_bucket: The Amazon S3 bucket where the data is located.
:type s3_key: string
:param s3_key: The Amazon S3 key where the data is located. Both
s3_bucket and s3_key must be specified in order to use a specific
source bundle. If both of these values are not specified the
sample application will be used.
:type auto_create_application: boolean
:param auto_create_application: Determines how the system behaves if
the specified application for this version does not already exist:
true: Automatically creates the specified application for this
version if it does not already exist. false: Returns an
InvalidParameterValue if the specified application for this version
does not already exist. Default: false Valid Values: true | false
:raises: TooManyApplicationsException,
TooManyApplicationVersionsException,
InsufficientPrivilegesException,
S3LocationNotInServiceRegionException
"""
params = {'ApplicationName': application_name,
'VersionLabel': version_label}
if description:
params['Description'] = description
if s3_bucket and s3_key:
params['SourceBundle.S3Bucket'] = s3_bucket
params['SourceBundle.S3Key'] = s3_key
if auto_create_application:
params['AutoCreateApplication'] = self._encode_bool(
auto_create_application)
return self._get_response('CreateApplicationVersion', params)
def create_configuration_template(self, application_name, template_name,
solution_stack_name=None,
source_configuration_application_name=None,
source_configuration_template_name=None,
environment_id=None, description=None,
option_settings=None):
"""Creates a configuration template.
Templates are associated with a specific application and are used to
deploy different versions of the application with the same
configuration settings.
:type application_name: string
:param application_name: The name of the application to associate with
this configuration template. If no application is found with this
name, AWS Elastic Beanstalk returns an InvalidParameterValue error.
:type template_name: string
:param template_name: The name of the configuration template.
Constraint: This name must be unique per application. Default: If
a configuration template already exists with this name, AWS Elastic
Beanstalk returns an InvalidParameterValue error.
:type solution_stack_name: string
:param solution_stack_name: The name of the solution stack used by this
configuration. The solution stack specifies the operating system,
architecture, and application server for a configuration template.
It determines the set of configuration options as well as the
possible and default values. Use ListAvailableSolutionStacks to
obtain a list of available solution stacks. Default: If the
SolutionStackName is not specified and the source configuration
parameter is blank, AWS Elastic Beanstalk uses the default solution
stack. If not specified and the source configuration parameter is
specified, AWS Elastic Beanstalk uses the same solution stack as
the source configuration template.
:type source_configuration_application_name: string
:param source_configuration_application_name: The name of the
application associated with the configuration.
:type source_configuration_template_name: string
:param source_configuration_template_name: The name of the
configuration template.
:type environment_id: string
:param environment_id: The ID of the environment used with this
configuration template.
:type description: string
:param description: Describes this configuration.
:type option_settings: list
:param option_settings: If specified, AWS Elastic Beanstalk sets the
specified configuration option to the requested value. The new
value overrides the value obtained from the solution stack or the
source configuration template.
:raises: InsufficientPrivilegesException,
TooManyConfigurationTemplatesException
"""
params = {'ApplicationName': application_name,
'TemplateName': template_name}
if solution_stack_name:
params['SolutionStackName'] = solution_stack_name
if source_configuration_application_name:
params['SourceConfiguration.ApplicationName'] = source_configuration_application_name
if source_configuration_template_name:
params['SourceConfiguration.TemplateName'] = source_configuration_template_name
if environment_id:
params['EnvironmentId'] = environment_id
if description:
params['Description'] = description
if option_settings:
self._build_list_params(params, option_settings,
'OptionSettings.member',
('Namespace', 'OptionName', 'Value'))
return self._get_response('CreateConfigurationTemplate', params)
def create_environment(self, application_name, environment_name,
version_label=None, template_name=None,
solution_stack_name=None, cname_prefix=None,
description=None, option_settings=None,
options_to_remove=None, tier_name=None,
tier_type=None, tier_version='1.0'):
"""Launches an environment for the application using a configuration.
:type application_name: string
:param application_name: The name of the application that contains the
version to be deployed. If no application is found with this name,
CreateEnvironment returns an InvalidParameterValue error.
:type environment_name: string
:param environment_name: A unique name for the deployment environment.
Used in the application URL. Constraint: Must be from 4 to 23
characters in length. The name can contain only letters, numbers,
and hyphens. It cannot start or end with a hyphen. This name must
be unique in your account. If the specified name already exists,
AWS Elastic Beanstalk returns an InvalidParameterValue error.
Default: If the CNAME parameter is not specified, the environment
name becomes part of the CNAME, and therefore part of the visible
URL for your application.
:type version_label: string
:param version_label: The name of the application version to deploy. If
the specified application has no associated application versions,
AWS Elastic Beanstalk UpdateEnvironment returns an
InvalidParameterValue error. Default: If not specified, AWS
Elastic Beanstalk attempts to launch the most recently created
application version.
:type template_name: string
:param template_name: The name of the configuration template to
use in deployment. If no configuration template is found with this
name, AWS Elastic Beanstalk returns an InvalidParameterValue error.
Condition: You must specify either this parameter or a
SolutionStackName, but not both. If you specify both, AWS Elastic
Beanstalk returns an InvalidParameterCombination error. If you do
not specify either, AWS Elastic Beanstalk returns a
MissingRequiredParameter error.
:type solution_stack_name: string
:param solution_stack_name: This is an alternative to specifying a
configuration name. If specified, AWS Elastic Beanstalk sets the
configuration values to the default values associated with the
specified solution stack. Condition: You must specify either this
or a TemplateName, but not both. If you specify both, AWS Elastic
Beanstalk returns an InvalidParameterCombination error. If you do
not specify either, AWS Elastic Beanstalk returns a
MissingRequiredParameter error.
:type cname_prefix: string
:param cname_prefix: If specified, the environment attempts to use this
value as the prefix for the CNAME. If not specified, the
environment uses the environment name.
:type description: string
:param description: Describes this environment.
:type option_settings: list
:param option_settings: If specified, AWS Elastic Beanstalk sets the
specified configuration options to the requested value in the
configuration set for the new environment. These override the
values obtained from the solution stack or the configuration
template. Each element in the list is a tuple of (Namespace,
OptionName, Value), for example::
[('aws:autoscaling:launchconfiguration',
'Ec2KeyName', 'mykeypair')]
:type options_to_remove: list
:param options_to_remove: A list of custom user-defined configuration
options to remove from the configuration set for this new
environment.
:type tier_name: string
:param tier_name: The name of the tier. Valid values are
"WebServer" and "Worker". Defaults to "WebServer".
The ``tier_name`` and a ``tier_type`` parameters are
related and the values provided must be valid.
The possible combinations are:
* "WebServer" and "Standard" (the default)
* "Worker" and "SQS/HTTP"
:type tier_type: string
:param tier_type: The type of the tier. Valid values are
"Standard" if ``tier_name`` is "WebServer" and "SQS/HTTP"
if ``tier_name`` is "Worker". Defaults to "Standard".
:type tier_version: string
:type tier_version: The version of the tier. Valid values
currently are "1.0". Defaults to "1.0".
:raises: TooManyEnvironmentsException, InsufficientPrivilegesException
"""
params = {'ApplicationName': application_name,
'EnvironmentName': environment_name}
if version_label:
params['VersionLabel'] = version_label
if template_name:
params['TemplateName'] = template_name
if solution_stack_name:
params['SolutionStackName'] = solution_stack_name
if cname_prefix:
params['CNAMEPrefix'] = cname_prefix
if description:
params['Description'] = description
if option_settings:
self._build_list_params(params, option_settings,
'OptionSettings.member',
('Namespace', 'OptionName', 'Value'))
if options_to_remove:
self.build_list_params(params, options_to_remove,
'OptionsToRemove.member')
if tier_name and tier_type and tier_version:
params['Tier.Name'] = tier_name
params['Tier.Type'] = tier_type
params['Tier.Version'] = tier_version
return self._get_response('CreateEnvironment', params)
def create_storage_location(self):
"""
Creates the Amazon S3 storage location for the account. This
location is used to store user log files.
:raises: TooManyBucketsException,
S3SubscriptionRequiredException,
InsufficientPrivilegesException
"""
return self._get_response('CreateStorageLocation', params={})
def delete_application(self, application_name,
terminate_env_by_force=None):
"""
Deletes the specified application along with all associated
versions and configurations. The application versions will not
be deleted from your Amazon S3 bucket.
:type application_name: string
:param application_name: The name of the application to delete.
:type terminate_env_by_force: boolean
:param terminate_env_by_force: When set to true, running
environments will be terminated before deleting the application.
:raises: OperationInProgressException
"""
params = {'ApplicationName': application_name}
if terminate_env_by_force:
params['TerminateEnvByForce'] = self._encode_bool(
terminate_env_by_force)
return self._get_response('DeleteApplication', params)
def delete_application_version(self, application_name, version_label,
delete_source_bundle=None):
"""Deletes the specified version from the specified application.
:type application_name: string
:param application_name: The name of the application to delete
releases from.
:type version_label: string
:param version_label: The label of the version to delete.
:type delete_source_bundle: boolean
:param delete_source_bundle: Indicates whether to delete the
associated source bundle from Amazon S3. Valid Values: true |
false
:raises: SourceBundleDeletionException,
InsufficientPrivilegesException,
OperationInProgressException,
S3LocationNotInServiceRegionException
"""
params = {'ApplicationName': application_name,
'VersionLabel': version_label}
if delete_source_bundle:
params['DeleteSourceBundle'] = self._encode_bool(
delete_source_bundle)
return self._get_response('DeleteApplicationVersion', params)
def delete_configuration_template(self, application_name, template_name):
"""Deletes the specified configuration template.
:type application_name: string
:param application_name: The name of the application to delete
the configuration template from.
:type template_name: string
:param template_name: The name of the configuration template to
delete.
:raises: OperationInProgressException
"""
params = {'ApplicationName': application_name,
'TemplateName': template_name}
return self._get_response('DeleteConfigurationTemplate', params)
def delete_environment_configuration(self, application_name,
environment_name):
"""
Deletes the draft configuration associated with the running
environment. Updating a running environment with any
configuration changes creates a draft configuration set. You can
get the draft configuration using DescribeConfigurationSettings
while the update is in progress or if the update fails. The
DeploymentStatus for the draft configuration indicates whether
the deployment is in process or has failed. The draft
configuration remains in existence until it is deleted with this
action.
:type application_name: string
:param application_name: The name of the application the
environment is associated with.
:type environment_name: string
:param environment_name: The name of the environment to delete
the draft configuration from.
"""
params = {'ApplicationName': application_name,
'EnvironmentName': environment_name}
return self._get_response('DeleteEnvironmentConfiguration', params)
def describe_application_versions(self, application_name=None,
version_labels=None):
"""Returns descriptions for existing application versions.
:type application_name: string
:param application_name: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to only include ones that are associated
with the specified application.
:type version_labels: list
:param version_labels: If specified, restricts the returned
descriptions to only include ones that have the specified version
labels.
"""
params = {}
if application_name:
params['ApplicationName'] = application_name
if version_labels:
self.build_list_params(params, version_labels,
'VersionLabels.member')
return self._get_response('DescribeApplicationVersions', params)
def describe_applications(self, application_names=None):
"""Returns the descriptions of existing applications.
:type application_names: list
:param application_names: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to only include those with the specified
names.
"""
params = {}
if application_names:
self.build_list_params(params, application_names,
'ApplicationNames.member')
return self._get_response('DescribeApplications', params)
def describe_configuration_options(self, application_name=None,
template_name=None,
environment_name=None,
solution_stack_name=None, options=None):
"""Describes configuration options used in a template or environment.
Describes the configuration options that are used in a
particular configuration template or environment, or that a
specified solution stack defines. The description includes the
values the options, their default values, and an indication of
the required action on a running environment if an option value
is changed.
:type application_name: string
:param application_name: The name of the application associated with
the configuration template or environment. Only needed if you want
to describe the configuration options associated with either the
configuration template or environment.
:type template_name: string
:param template_name: The name of the configuration template whose
configuration options you want to describe.
:type environment_name: string
:param environment_name: The name of the environment whose
configuration options you want to describe.
:type solution_stack_name: string
:param solution_stack_name: The name of the solution stack whose
configuration options you want to describe.
:type options: list
:param options: If specified, restricts the descriptions to only
the specified options.
"""
params = {}
if application_name:
params['ApplicationName'] = application_name
if template_name:
params['TemplateName'] = template_name
if environment_name:
params['EnvironmentName'] = environment_name
if solution_stack_name:
params['SolutionStackName'] = solution_stack_name
if options:
self.build_list_params(params, options, 'Options.member')
return self._get_response('DescribeConfigurationOptions', params)
def describe_configuration_settings(self, application_name,
template_name=None,
environment_name=None):
"""
Returns a description of the settings for the specified
configuration set, that is, either a configuration template or
the configuration set associated with a running environment.
When describing the settings for the configuration set
associated with a running environment, it is possible to receive
two sets of setting descriptions. One is the deployed
configuration set, and the other is a draft configuration of an
environment that is either in the process of deployment or that
failed to deploy.
:type application_name: string
:param application_name: The application for the environment or
configuration template.
:type template_name: string
:param template_name: The name of the configuration template to
describe. Conditional: You must specify either this parameter or
an EnvironmentName, but not both. If you specify both, AWS Elastic
Beanstalk returns an InvalidParameterCombination error. If you do
not specify either, AWS Elastic Beanstalk returns a
MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to describe.
Condition: You must specify either this or a TemplateName, but not
both. If you specify both, AWS Elastic Beanstalk returns an
InvalidParameterCombination error. If you do not specify either,
AWS Elastic Beanstalk returns MissingRequiredParameter error.
"""
params = {'ApplicationName': application_name}
if template_name:
params['TemplateName'] = template_name
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('DescribeConfigurationSettings', params)
def describe_environment_resources(self, environment_id=None,
environment_name=None):
"""Returns AWS resources for this environment.
:type environment_id: string
:param environment_id: The ID of the environment to retrieve AWS
resource usage data. Condition: You must specify either this or an
EnvironmentName, or both. If you do not specify either, AWS Elastic
Beanstalk returns MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to retrieve
AWS resource usage data. Condition: You must specify either this
or an EnvironmentId, or both. If you do not specify either, AWS
Elastic Beanstalk returns MissingRequiredParameter error.
:raises: InsufficientPrivilegesException
"""
params = {}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('DescribeEnvironmentResources', params)
def describe_environments(self, application_name=None, version_label=None,
environment_ids=None, environment_names=None,
include_deleted=None,
included_deleted_back_to=None):
"""Returns descriptions for existing environments.
:type application_name: string
:param application_name: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to include only those that are associated
with this application.
:type version_label: string
:param version_label: If specified, AWS Elastic Beanstalk restricts the
returned descriptions to include only those that are associated
with this application version.
:type environment_ids: list
:param environment_ids: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to include only those that have the
specified IDs.
:type environment_names: list
:param environment_names: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to include only those that have the
specified names.
:type include_deleted: boolean
:param include_deleted: Indicates whether to include deleted
environments: true: Environments that have been deleted after
IncludedDeletedBackTo are displayed. false: Do not include deleted
environments.
:type included_deleted_back_to: timestamp
:param included_deleted_back_to: If specified when IncludeDeleted is
set to true, then environments deleted after this date are
displayed.
"""
params = {}
if application_name:
params['ApplicationName'] = application_name
if version_label:
params['VersionLabel'] = version_label
if environment_ids:
self.build_list_params(params, environment_ids,
'EnvironmentIds.member')
if environment_names:
self.build_list_params(params, environment_names,
'EnvironmentNames.member')
if include_deleted:
params['IncludeDeleted'] = self._encode_bool(include_deleted)
if included_deleted_back_to:
params['IncludedDeletedBackTo'] = included_deleted_back_to
return self._get_response('DescribeEnvironments', params)
def describe_events(self, application_name=None, version_label=None,
template_name=None, environment_id=None,
environment_name=None, request_id=None, severity=None,
start_time=None, end_time=None, max_records=None,
next_token=None):
"""Returns event descriptions matching criteria up to the last 6 weeks.
:type application_name: string
:param application_name: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to include only those associated with
this application.
:type version_label: string
:param version_label: If specified, AWS Elastic Beanstalk restricts the
returned descriptions to those associated with this application
version.
:type template_name: string
:param template_name: If specified, AWS Elastic Beanstalk restricts the
returned descriptions to those that are associated with this
environment configuration.
:type environment_id: string
:param environment_id: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to those associated with this
environment.
:type environment_name: string
:param environment_name: If specified, AWS Elastic Beanstalk restricts
the returned descriptions to those associated with this
environment.
:type request_id: string
:param request_id: If specified, AWS Elastic Beanstalk restricts the
described events to include only those associated with this request
ID.
:type severity: string
:param severity: If specified, limits the events returned from this
call to include only those with the specified severity or higher.
:type start_time: timestamp
:param start_time: If specified, AWS Elastic Beanstalk restricts the
returned descriptions to those that occur on or after this time.
:type end_time: timestamp
:param end_time: If specified, AWS Elastic Beanstalk restricts the
returned descriptions to those that occur up to, but not including,
the EndTime.
:type max_records: integer
:param max_records: Specifies the maximum number of events that can be
returned, beginning with the most recent event.
:type next_token: string
:param next_token: Pagination token. If specified, the events return
the next batch of results.
"""
params = {}
if application_name:
params['ApplicationName'] = application_name
if version_label:
params['VersionLabel'] = version_label
if template_name:
params['TemplateName'] = template_name
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
if request_id:
params['RequestId'] = request_id
if severity:
params['Severity'] = severity
if start_time:
params['StartTime'] = start_time
if end_time:
params['EndTime'] = end_time
if max_records:
params['MaxRecords'] = max_records
if next_token:
params['NextToken'] = next_token
return self._get_response('DescribeEvents', params)
def list_available_solution_stacks(self):
"""Returns a list of the available solution stack names."""
return self._get_response('ListAvailableSolutionStacks', params={})
def rebuild_environment(self, environment_id=None, environment_name=None):
"""
Deletes and recreates all of the AWS resources (for example:
the Auto Scaling group, load balancer, etc.) for a specified
environment and forces a restart.
:type environment_id: string
:param environment_id: The ID of the environment to rebuild.
Condition: You must specify either this or an EnvironmentName, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to rebuild.
Condition: You must specify either this or an EnvironmentId, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:raises: InsufficientPrivilegesException
"""
params = {}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('RebuildEnvironment', params)
def request_environment_info(self, info_type='tail', environment_id=None,
environment_name=None):
"""
Initiates a request to compile the specified type of
information of the deployed environment. Setting the InfoType
to tail compiles the last lines from the application server log
files of every Amazon EC2 instance in your environment. Use
RetrieveEnvironmentInfo to access the compiled information.
:type info_type: string
:param info_type: The type of information to request.
:type environment_id: string
:param environment_id: The ID of the environment of the
requested data. If no such environment is found,
RequestEnvironmentInfo returns an InvalidParameterValue error.
Condition: You must specify either this or an EnvironmentName, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment of the
requested data. If no such environment is found,
RequestEnvironmentInfo returns an InvalidParameterValue error.
Condition: You must specify either this or an EnvironmentId, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
"""
params = {'InfoType': info_type}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('RequestEnvironmentInfo', params)
def restart_app_server(self, environment_id=None, environment_name=None):
"""
Causes the environment to restart the application container
server running on each Amazon EC2 instance.
:type environment_id: string
:param environment_id: The ID of the environment to restart the server
for. Condition: You must specify either this or an
EnvironmentName, or both. If you do not specify either, AWS Elastic
Beanstalk returns MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to restart the
server for. Condition: You must specify either this or an
EnvironmentId, or both. If you do not specify either, AWS Elastic
Beanstalk returns MissingRequiredParameter error.
"""
params = {}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('RestartAppServer', params)
def retrieve_environment_info(self, info_type='tail', environment_id=None,
environment_name=None):
"""
Retrieves the compiled information from a RequestEnvironmentInfo
request.
:type info_type: string
:param info_type: The type of information to retrieve.
:type environment_id: string
:param environment_id: The ID of the data's environment. If no such
environment is found, returns an InvalidParameterValue error.
Condition: You must specify either this or an EnvironmentName, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the data's environment. If no such
environment is found, returns an InvalidParameterValue error.
Condition: You must specify either this or an EnvironmentId, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
"""
params = {'InfoType': info_type}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('RetrieveEnvironmentInfo', params)
def swap_environment_cnames(self, source_environment_id=None,
source_environment_name=None,
destination_environment_id=None,
destination_environment_name=None):
"""Swaps the CNAMEs of two environments.
:type source_environment_id: string
:param source_environment_id: The ID of the source environment.
Condition: You must specify at least the SourceEnvironmentID or the
SourceEnvironmentName. You may also specify both. If you specify
the SourceEnvironmentId, you must specify the
DestinationEnvironmentId.
:type source_environment_name: string
:param source_environment_name: The name of the source environment.
Condition: You must specify at least the SourceEnvironmentID or the
SourceEnvironmentName. You may also specify both. If you specify
the SourceEnvironmentName, you must specify the
DestinationEnvironmentName.
:type destination_environment_id: string
:param destination_environment_id: The ID of the destination
environment. Condition: You must specify at least the
DestinationEnvironmentID or the DestinationEnvironmentName. You may
also specify both. You must specify the SourceEnvironmentId with
the DestinationEnvironmentId.
:type destination_environment_name: string
:param destination_environment_name: The name of the destination
environment. Condition: You must specify at least the
DestinationEnvironmentID or the DestinationEnvironmentName. You may
also specify both. You must specify the SourceEnvironmentName with
the DestinationEnvironmentName.
"""
params = {}
if source_environment_id:
params['SourceEnvironmentId'] = source_environment_id
if source_environment_name:
params['SourceEnvironmentName'] = source_environment_name
if destination_environment_id:
params['DestinationEnvironmentId'] = destination_environment_id
if destination_environment_name:
params['DestinationEnvironmentName'] = destination_environment_name
return self._get_response('SwapEnvironmentCNAMEs', params)
def terminate_environment(self, environment_id=None, environment_name=None,
terminate_resources=None):
"""Terminates the specified environment.
:type environment_id: string
:param environment_id: The ID of the environment to terminate.
Condition: You must specify either this or an EnvironmentName, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to terminate.
Condition: You must specify either this or an EnvironmentId, or
both. If you do not specify either, AWS Elastic Beanstalk returns
MissingRequiredParameter error.
:type terminate_resources: boolean
:param terminate_resources: Indicates whether the associated AWS
resources should shut down when the environment is terminated:
true: (default) The user AWS resources (for example, the Auto
Scaling group, LoadBalancer, etc.) are terminated along with the
environment. false: The environment is removed from the AWS
Elastic Beanstalk but the AWS resources continue to operate. For
more information, see the AWS Elastic Beanstalk User Guide.
Default: true Valid Values: true | false
:raises: InsufficientPrivilegesException
"""
params = {}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
if terminate_resources:
params['TerminateResources'] = self._encode_bool(
terminate_resources)
return self._get_response('TerminateEnvironment', params)
def update_application(self, application_name, description=None):
"""
Updates the specified application to have the specified
properties.
:type application_name: string
:param application_name: The name of the application to update.
If no such application is found, UpdateApplication returns an
InvalidParameterValue error.
:type description: string
:param description: A new description for the application. Default: If
not specified, AWS Elastic Beanstalk does not update the
description.
"""
params = {'ApplicationName': application_name}
if description:
params['Description'] = description
return self._get_response('UpdateApplication', params)
def update_application_version(self, application_name, version_label,
description=None):
"""Updates the application version to have the properties.
:type application_name: string
:param application_name: The name of the application associated with
this version. If no application is found with this name,
UpdateApplication returns an InvalidParameterValue error.
:type version_label: string
:param version_label: The name of the version to update. If no
application version is found with this label, UpdateApplication
returns an InvalidParameterValue error.
:type description: string
:param description: A new description for this release.
"""
params = {'ApplicationName': application_name,
'VersionLabel': version_label}
if description:
params['Description'] = description
return self._get_response('UpdateApplicationVersion', params)
def update_configuration_template(self, application_name, template_name,
description=None, option_settings=None,
options_to_remove=None):
"""
Updates the specified configuration template to have the
specified properties or configuration option values.
:type application_name: string
:param application_name: The name of the application associated with
the configuration template to update. If no application is found
with this name, UpdateConfigurationTemplate returns an
InvalidParameterValue error.
:type template_name: string
:param template_name: The name of the configuration template to update.
If no configuration template is found with this name,
UpdateConfigurationTemplate returns an InvalidParameterValue error.
:type description: string
:param description: A new description for the configuration.
:type option_settings: list
:param option_settings: A list of configuration option settings to
update with the new specified option value.
:type options_to_remove: list
:param options_to_remove: A list of configuration options to remove
from the configuration set. Constraint: You can remove only
UserDefined configuration options.
:raises: InsufficientPrivilegesException
"""
params = {'ApplicationName': application_name,
'TemplateName': template_name}
if description:
params['Description'] = description
if option_settings:
self._build_list_params(params, option_settings,
'OptionSettings.member',
('Namespace', 'OptionName', 'Value'))
if options_to_remove:
self.build_list_params(params, options_to_remove,
'OptionsToRemove.member')
return self._get_response('UpdateConfigurationTemplate', params)
def update_environment(self, environment_id=None, environment_name=None,
version_label=None, template_name=None,
description=None, option_settings=None,
options_to_remove=None, tier_name=None,
tier_type=None, tier_version='1.0'):
"""
Updates the environment description, deploys a new application
version, updates the configuration settings to an entirely new
configuration template, or updates select configuration option
values in the running environment. Attempting to update both
the release and configuration is not allowed and AWS Elastic
Beanstalk returns an InvalidParameterCombination error. When
updating the configuration settings to a new template or
individual settings, a draft configuration is created and
DescribeConfigurationSettings for this environment returns two
setting descriptions with different DeploymentStatus values.
:type environment_id: string
:param environment_id: The ID of the environment to update. If no
environment with this ID exists, AWS Elastic Beanstalk returns an
InvalidParameterValue error. Condition: You must specify either
this or an EnvironmentName, or both. If you do not specify either,
AWS Elastic Beanstalk returns MissingRequiredParameter error.
:type environment_name: string
:param environment_name: The name of the environment to update. If no
environment with this name exists, AWS Elastic Beanstalk returns an
InvalidParameterValue error. Condition: You must specify either
this or an EnvironmentId, or both. If you do not specify either,
AWS Elastic Beanstalk returns MissingRequiredParameter error.
:type version_label: string
:param version_label: If this parameter is specified, AWS Elastic
Beanstalk deploys the named application version to the environment.
If no such application version is found, returns an
InvalidParameterValue error.
:type template_name: string
:param template_name: If this parameter is specified, AWS Elastic
Beanstalk deploys this configuration template to the environment.
If no such configuration template is found, AWS Elastic Beanstalk
returns an InvalidParameterValue error.
:type description: string
:param description: If this parameter is specified, AWS Elastic
Beanstalk updates the description of this environment.
:type option_settings: list
:param option_settings: If specified, AWS Elastic Beanstalk updates the
configuration set associated with the running environment and sets
the specified configuration options to the requested value.
:type options_to_remove: list
:param options_to_remove: A list of custom user-defined configuration
options to remove from the configuration set for this environment.
:type tier_name: string
:param tier_name: The name of the tier. Valid values are
"WebServer" and "Worker". Defaults to "WebServer".
The ``tier_name`` and a ``tier_type`` parameters are
related and the values provided must be valid.
The possible combinations are:
* "WebServer" and "Standard" (the default)
* "Worker" and "SQS/HTTP"
:type tier_type: string
:param tier_type: The type of the tier. Valid values are
"Standard" if ``tier_name`` is "WebServer" and "SQS/HTTP"
if ``tier_name`` is "Worker". Defaults to "Standard".
:type tier_version: string
:type tier_version: The version of the tier. Valid values
currently are "1.0". Defaults to "1.0".
:raises: InsufficientPrivilegesException
"""
params = {}
if environment_id:
params['EnvironmentId'] = environment_id
if environment_name:
params['EnvironmentName'] = environment_name
if version_label:
params['VersionLabel'] = version_label
if template_name:
params['TemplateName'] = template_name
if description:
params['Description'] = description
if option_settings:
self._build_list_params(params, option_settings,
'OptionSettings.member',
('Namespace', 'OptionName', 'Value'))
if options_to_remove:
self.build_list_params(params, options_to_remove,
'OptionsToRemove.member')
if tier_name and tier_type and tier_version:
params['Tier.Name'] = tier_name
params['Tier.Type'] = tier_type
params['Tier.Version'] = tier_version
return self._get_response('UpdateEnvironment', params)
def validate_configuration_settings(self, application_name,
option_settings, template_name=None,
environment_name=None):
"""
Takes a set of configuration settings and either a
configuration template or environment, and determines whether
those values are valid. This action returns a list of messages
indicating any errors or warnings associated with the selection
of option values.
:type application_name: string
:param application_name: The name of the application that the
configuration template or environment belongs to.
:type template_name: string
:param template_name: The name of the configuration template to
validate the settings against. Condition: You cannot specify both
this and an environment name.
:type environment_name: string
:param environment_name: The name of the environment to validate the
settings against. Condition: You cannot specify both this and a
configuration template name.
:type option_settings: list
:param option_settings: A list of the options and desired values to
evaluate.
:raises: InsufficientPrivilegesException
"""
params = {'ApplicationName': application_name}
self._build_list_params(params, option_settings,
'OptionSettings.member',
('Namespace', 'OptionName', 'Value'))
if template_name:
params['TemplateName'] = template_name
if environment_name:
params['EnvironmentName'] = environment_name
return self._get_response('ValidateConfigurationSettings', params)
def _build_list_params(self, params, user_values, prefix, tuple_names):
# For params such as the ConfigurationOptionSettings,
# they can specify a list of tuples where each tuple maps to a specific
# arg. For example:
# user_values = [('foo', 'bar', 'baz']
# prefix=MyOption.member
# tuple_names=('One', 'Two', 'Three')
# would result in:
# MyOption.member.1.One = foo
# MyOption.member.1.Two = bar
# MyOption.member.1.Three = baz
for i, user_value in enumerate(user_values, 1):
current_prefix = '%s.%s' % (prefix, i)
for key, value in zip(tuple_names, user_value):
full_key = '%s.%s' % (current_prefix, key)
params[full_key] = value
|
apache-2.0
|
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] |
b1-systems/kiwi
|
test/unit/utils_rpm_test.py
|
1
|
3046
|
import io
import os
from .test_helper import patch_open
from mock import (
patch, Mock, MagicMock, call
)
from kiwi.utils.rpm import Rpm
from kiwi.defaults import Defaults
class TestRpm(object):
def setup(self):
self.rpm_host = Rpm()
self.rpm_image = Rpm('root_dir')
self.macro_file = os.sep.join(
[
Defaults.get_custom_rpm_macros_path(),
Defaults.get_custom_rpm_bootstrap_macro_name()
]
)
@patch('kiwi.utils.rpm.Command.run')
def test_expand_query(self, mock_Command_run):
self.rpm_host.expand_query('foo')
mock_Command_run.assert_called_once_with(
['rpm', '-E', 'foo']
)
mock_Command_run.reset_mock()
self.rpm_image.expand_query('foo')
mock_Command_run.assert_called_once_with(
['chroot', 'root_dir', 'rpm', '-E', 'foo']
)
@patch('kiwi.utils.rpm.Command.run')
def test_get_query(self, mock_Command_run):
rpmdb_call = Mock()
rpmdb_call.output = '%_dbpath %{_usr}/lib/sysimage/rpm'
mock_Command_run.return_value = rpmdb_call
assert self.rpm_host.get_query('_dbpath') == \
'%{_usr}/lib/sysimage/rpm'
mock_Command_run.assert_called_once_with(
['rpmdb', '--showrc']
)
mock_Command_run.reset_mock()
assert self.rpm_image.get_query('_dbpath') == \
'%{_usr}/lib/sysimage/rpm'
mock_Command_run.assert_called_once_with(
['chroot', 'root_dir', 'rpmdb', '--showrc']
)
def test_set_config_value(self):
self.rpm_host.set_config_value('key', 'value')
assert self.rpm_host.custom_config[0] == '%key\tvalue'
@patch('kiwi.utils.rpm.Path.wipe')
def test_wipe_config(self, mock_Path_wipe):
self.rpm_host.wipe_config()
mock_Path_wipe.assert_called_once_with(
os.sep + self.macro_file
)
mock_Path_wipe.reset_mock()
self.rpm_image.wipe_config()
mock_Path_wipe.assert_called_once_with(
os.sep.join(['root_dir', self.macro_file])
)
@patch_open
@patch('kiwi.utils.rpm.Path.create')
def test_write_config(self, mock_Path_create, mock_open):
mock_open.return_value = MagicMock(spec=io.IOBase)
file_handle = mock_open.return_value.__enter__.return_value
self.rpm_host.set_config_value('key', 'value')
self.rpm_host.write_config()
mock_open.assert_called_once_with(
os.sep + self.macro_file, 'w'
)
assert file_handle.write.call_args_list == [
call('%key\tvalue\n')
]
mock_open.reset_mock()
file_handle.write.reset_mock()
self.rpm_image.set_config_value('foo', 'bar')
self.rpm_image.write_config()
mock_open.assert_called_once_with(
os.sep.join(['root_dir', self.macro_file]), 'w'
)
assert file_handle.write.call_args_list == [
call('%foo\tbar\n')
]
|
gpl-3.0
|
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cemoody/chainer
|
chainer/links/caffe/caffe_pb2.py
|
27
|
209364
|
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: caffe.proto
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = _descriptor.FileDescriptor(
name='caffe.proto',
package='caffe',
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_PHASE = _descriptor.EnumDescriptor(
name='Phase',
full_name='caffe.Phase',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='TRAIN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TEST', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=13218,
serialized_end=13246,
)
Phase = enum_type_wrapper.EnumTypeWrapper(_PHASE)
TRAIN = 0
TEST = 1
_FILLERPARAMETER_VARIANCENORM = _descriptor.EnumDescriptor(
name='VarianceNorm',
full_name='caffe.FillerParameter.VarianceNorm',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='FAN_IN', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FAN_OUT', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AVERAGE', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=608,
serialized_end=660,
)
_SOLVERPARAMETER_SOLVERMODE = _descriptor.EnumDescriptor(
name='SolverMode',
full_name='caffe.SolverParameter.SolverMode',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='CPU', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='GPU', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1941,
serialized_end=1971,
)
_SOLVERPARAMETER_SOLVERTYPE = _descriptor.EnumDescriptor(
name='SolverType',
full_name='caffe.SolverParameter.SolverType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='SGD', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='NESTEROV', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ADAGRAD', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=1973,
serialized_end=2021,
)
_PARAMSPEC_DIMCHECKMODE = _descriptor.EnumDescriptor(
name='DimCheckMode',
full_name='caffe.ParamSpec.DimCheckMode',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='STRICT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='PERMISSIVE', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=2452,
serialized_end=2494,
)
_CONVOLUTIONPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.ConvolutionParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_DATAPARAMETER_DB = _descriptor.EnumDescriptor(
name='DB',
full_name='caffe.DataParameter.DB',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='LEVELDB', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='LMDB', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5820,
serialized_end=5847,
)
_ELTWISEPARAMETER_ELTWISEOP = _descriptor.EnumDescriptor(
name='EltwiseOp',
full_name='caffe.EltwiseParameter.EltwiseOp',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='PROD', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SUM', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MAX', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=6187,
serialized_end=6226,
)
_HINGELOSSPARAMETER_NORM = _descriptor.EnumDescriptor(
name='Norm',
full_name='caffe.HingeLossParameter.Norm',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='L1', index=0, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='L2', index=1, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=6552,
serialized_end=6574,
)
_LRNPARAMETER_NORMREGION = _descriptor.EnumDescriptor(
name='NormRegion',
full_name='caffe.LRNParameter.NormRegion',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='ACROSS_CHANNELS', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WITHIN_CHANNEL', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=7308,
serialized_end=7361,
)
_POOLINGPARAMETER_POOLMETHOD = _descriptor.EnumDescriptor(
name='PoolMethod',
full_name='caffe.PoolingParameter.PoolMethod',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='MAX', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AVE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='STOCHASTIC', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=7885,
serialized_end=7931,
)
_POOLINGPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.PoolingParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_REDUCTIONPARAMETER_REDUCTIONOP = _descriptor.EnumDescriptor(
name='ReductionOp',
full_name='caffe.ReductionParameter.ReductionOp',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='SUM', index=0, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ASUM', index=1, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SUMSQ', index=2, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MEAN', index=3, number=4,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=8221,
serialized_end=8274,
)
_RELUPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.ReLUParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_SIGMOIDPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.SigmoidParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_SOFTMAXPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.SoftmaxParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_TANHPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.TanHParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_SPPPARAMETER_POOLMETHOD = _descriptor.EnumDescriptor(
name='PoolMethod',
full_name='caffe.SPPParameter.PoolMethod',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='MAX', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AVE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='STOCHASTIC', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=7885,
serialized_end=7931,
)
_SPPPARAMETER_ENGINE = _descriptor.EnumDescriptor(
name='Engine',
full_name='caffe.SPPParameter.Engine',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='DEFAULT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CAFFE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CUDNN', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=5530,
serialized_end=5573,
)
_V1LAYERPARAMETER_LAYERTYPE = _descriptor.EnumDescriptor(
name='LayerType',
full_name='caffe.V1LayerParameter.LayerType',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='NONE', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ABSVAL', index=1, number=35,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ACCURACY', index=2, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ARGMAX', index=3, number=30,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='BNLL', index=4, number=2,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CONCAT', index=5, number=3,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CONTRASTIVE_LOSS', index=6, number=37,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='CONVOLUTION', index=7, number=4,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DATA', index=8, number=5,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DECONVOLUTION', index=9, number=39,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DROPOUT', index=10, number=6,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='DUMMY_DATA', index=11, number=32,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='EUCLIDEAN_LOSS', index=12, number=7,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='ELTWISE', index=13, number=25,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='EXP', index=14, number=38,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='FLATTEN', index=15, number=8,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='HDF5_DATA', index=16, number=9,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='HDF5_OUTPUT', index=17, number=10,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='HINGE_LOSS', index=18, number=28,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IM2COL', index=19, number=11,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='IMAGE_DATA', index=20, number=12,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='INFOGAIN_LOSS', index=21, number=13,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='INNER_PRODUCT', index=22, number=14,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='LRN', index=23, number=15,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MEMORY_DATA', index=24, number=29,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MULTINOMIAL_LOGISTIC_LOSS', index=25, number=16,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='MVN', index=26, number=34,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='POOLING', index=27, number=17,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='POWER', index=28, number=26,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='RELU', index=29, number=18,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SIGMOID', index=30, number=19,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SIGMOID_CROSS_ENTROPY_LOSS', index=31, number=27,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SILENCE', index=32, number=36,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SOFTMAX', index=33, number=20,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SOFTMAX_LOSS', index=34, number=21,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SPLIT', index=35, number=22,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='SLICE', index=36, number=33,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='TANH', index=37, number=23,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='WINDOW_DATA', index=38, number=24,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='THRESHOLD', index=39, number=31,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=11459,
serialized_end=12059,
)
_V1LAYERPARAMETER_DIMCHECKMODE = _descriptor.EnumDescriptor(
name='DimCheckMode',
full_name='caffe.V1LayerParameter.DimCheckMode',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='STRICT', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='PERMISSIVE', index=1, number=1,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=2452,
serialized_end=2494,
)
_V0LAYERPARAMETER_POOLMETHOD = _descriptor.EnumDescriptor(
name='PoolMethod',
full_name='caffe.V0LayerParameter.PoolMethod',
filename=None,
file=DESCRIPTOR,
values=[
_descriptor.EnumValueDescriptor(
name='MAX', index=0, number=0,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='AVE', index=1, number=1,
options=None,
type=None),
_descriptor.EnumValueDescriptor(
name='STOCHASTIC', index=2, number=2,
options=None,
type=None),
],
containing_type=None,
options=None,
serialized_start=7885,
serialized_end=7931,
)
_BLOBSHAPE = _descriptor.Descriptor(
name='BlobShape',
full_name='caffe.BlobShape',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='dim', full_name='caffe.BlobShape.dim', index=0,
number=1, type=3, cpp_type=2, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=22,
serialized_end=50,
)
_BLOBPROTO = _descriptor.Descriptor(
name='BlobProto',
full_name='caffe.BlobProto',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='shape', full_name='caffe.BlobProto.shape', index=0,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='data', full_name='caffe.BlobProto.data', index=1,
number=5, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')),
_descriptor.FieldDescriptor(
name='diff', full_name='caffe.BlobProto.diff', index=2,
number=6, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')),
_descriptor.FieldDescriptor(
name='num', full_name='caffe.BlobProto.num', index=3,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channels', full_name='caffe.BlobProto.channels', index=4,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height', full_name='caffe.BlobProto.height', index=5,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='caffe.BlobProto.width', index=6,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=53,
serialized_end=207,
)
_BLOBPROTOVECTOR = _descriptor.Descriptor(
name='BlobProtoVector',
full_name='caffe.BlobProtoVector',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='blobs', full_name='caffe.BlobProtoVector.blobs', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=209,
serialized_end=259,
)
_DATUM = _descriptor.Descriptor(
name='Datum',
full_name='caffe.Datum',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='channels', full_name='caffe.Datum.channels', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height', full_name='caffe.Datum.height', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='caffe.Datum.width', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='data', full_name='caffe.Datum.data', index=3,
number=4, type=12, cpp_type=9, label=1,
has_default_value=False, default_value="",
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='label', full_name='caffe.Datum.label', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='float_data', full_name='caffe.Datum.float_data', index=5,
number=6, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='encoded', full_name='caffe.Datum.encoded', index=6,
number=7, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=262,
serialized_end=391,
)
_FILLERPARAMETER = _descriptor.Descriptor(
name='FillerParameter',
full_name='caffe.FillerParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='type', full_name='caffe.FillerParameter.type', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("constant", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='value', full_name='caffe.FillerParameter.value', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min', full_name='caffe.FillerParameter.min', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max', full_name='caffe.FillerParameter.max', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean', full_name='caffe.FillerParameter.mean', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='std', full_name='caffe.FillerParameter.std', index=5,
number=6, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sparse', full_name='caffe.FillerParameter.sparse', index=6,
number=7, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='variance_norm', full_name='caffe.FillerParameter.variance_norm', index=7,
number=8, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_FILLERPARAMETER_VARIANCENORM,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=394,
serialized_end=660,
)
_NETPARAMETER = _descriptor.Descriptor(
name='NetParameter',
full_name='caffe.NetParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='caffe.NetParameter.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='input', full_name='caffe.NetParameter.input', index=1,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='input_shape', full_name='caffe.NetParameter.input_shape', index=2,
number=8, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='input_dim', full_name='caffe.NetParameter.input_dim', index=3,
number=4, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_backward', full_name='caffe.NetParameter.force_backward', index=4,
number=5, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='state', full_name='caffe.NetParameter.state', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='debug_info', full_name='caffe.NetParameter.debug_info', index=6,
number=7, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='layer', full_name='caffe.NetParameter.layer', index=7,
number=100, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='layers', full_name='caffe.NetParameter.layers', index=8,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=663,
serialized_end=933,
)
_SOLVERPARAMETER = _descriptor.Descriptor(
name='SolverParameter',
full_name='caffe.SolverParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='net', full_name='caffe.SolverParameter.net', index=0,
number=24, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='net_param', full_name='caffe.SolverParameter.net_param', index=1,
number=25, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='train_net', full_name='caffe.SolverParameter.train_net', index=2,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_net', full_name='caffe.SolverParameter.test_net', index=3,
number=2, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='train_net_param', full_name='caffe.SolverParameter.train_net_param', index=4,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_net_param', full_name='caffe.SolverParameter.test_net_param', index=5,
number=22, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='train_state', full_name='caffe.SolverParameter.train_state', index=6,
number=26, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_state', full_name='caffe.SolverParameter.test_state', index=7,
number=27, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_iter', full_name='caffe.SolverParameter.test_iter', index=8,
number=3, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_interval', full_name='caffe.SolverParameter.test_interval', index=9,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_compute_loss', full_name='caffe.SolverParameter.test_compute_loss', index=10,
number=19, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='test_initialization', full_name='caffe.SolverParameter.test_initialization', index=11,
number=32, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='base_lr', full_name='caffe.SolverParameter.base_lr', index=12,
number=5, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='display', full_name='caffe.SolverParameter.display', index=13,
number=6, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='average_loss', full_name='caffe.SolverParameter.average_loss', index=14,
number=33, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_iter', full_name='caffe.SolverParameter.max_iter', index=15,
number=7, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='iter_size', full_name='caffe.SolverParameter.iter_size', index=16,
number=36, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='lr_policy', full_name='caffe.SolverParameter.lr_policy', index=17,
number=8, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='gamma', full_name='caffe.SolverParameter.gamma', index=18,
number=9, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='power', full_name='caffe.SolverParameter.power', index=19,
number=10, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='momentum', full_name='caffe.SolverParameter.momentum', index=20,
number=11, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_decay', full_name='caffe.SolverParameter.weight_decay', index=21,
number=12, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='regularization_type', full_name='caffe.SolverParameter.regularization_type', index=22,
number=29, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("L2", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stepsize', full_name='caffe.SolverParameter.stepsize', index=23,
number=13, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stepvalue', full_name='caffe.SolverParameter.stepvalue', index=24,
number=34, type=5, cpp_type=1, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='clip_gradients', full_name='caffe.SolverParameter.clip_gradients', index=25,
number=35, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='snapshot', full_name='caffe.SolverParameter.snapshot', index=26,
number=14, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='snapshot_prefix', full_name='caffe.SolverParameter.snapshot_prefix', index=27,
number=15, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='snapshot_diff', full_name='caffe.SolverParameter.snapshot_diff', index=28,
number=16, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='solver_mode', full_name='caffe.SolverParameter.solver_mode', index=29,
number=17, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='device_id', full_name='caffe.SolverParameter.device_id', index=30,
number=18, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='random_seed', full_name='caffe.SolverParameter.random_seed', index=31,
number=20, type=3, cpp_type=2, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='solver_type', full_name='caffe.SolverParameter.solver_type', index=32,
number=30, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='delta', full_name='caffe.SolverParameter.delta', index=33,
number=31, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1e-08,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='debug_info', full_name='caffe.SolverParameter.debug_info', index=34,
number=23, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='snapshot_after_train', full_name='caffe.SolverParameter.snapshot_after_train', index=35,
number=28, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_SOLVERPARAMETER_SOLVERMODE,
_SOLVERPARAMETER_SOLVERTYPE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=936,
serialized_end=2021,
)
_SOLVERSTATE = _descriptor.Descriptor(
name='SolverState',
full_name='caffe.SolverState',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='iter', full_name='caffe.SolverState.iter', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='learned_net', full_name='caffe.SolverState.learned_net', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='history', full_name='caffe.SolverState.history', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='current_step', full_name='caffe.SolverState.current_step', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=2023,
serialized_end=2131,
)
_NETSTATE = _descriptor.Descriptor(
name='NetState',
full_name='caffe.NetState',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='phase', full_name='caffe.NetState.phase', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='level', full_name='caffe.NetState.level', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stage', full_name='caffe.NetState.stage', index=2,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=2133,
serialized_end=2211,
)
_NETSTATERULE = _descriptor.Descriptor(
name='NetStateRule',
full_name='caffe.NetStateRule',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='phase', full_name='caffe.NetStateRule.phase', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='min_level', full_name='caffe.NetStateRule.min_level', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='max_level', full_name='caffe.NetStateRule.max_level', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stage', full_name='caffe.NetStateRule.stage', index=3,
number=4, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='not_stage', full_name='caffe.NetStateRule.not_stage', index=4,
number=5, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=2213,
serialized_end=2328,
)
_PARAMSPEC = _descriptor.Descriptor(
name='ParamSpec',
full_name='caffe.ParamSpec',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='caffe.ParamSpec.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='share_mode', full_name='caffe.ParamSpec.share_mode', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='lr_mult', full_name='caffe.ParamSpec.lr_mult', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='decay_mult', full_name='caffe.ParamSpec.decay_mult', index=3,
number=4, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_PARAMSPEC_DIMCHECKMODE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=2331,
serialized_end=2494,
)
_LAYERPARAMETER = _descriptor.Descriptor(
name='LayerParameter',
full_name='caffe.LayerParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='caffe.LayerParameter.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='type', full_name='caffe.LayerParameter.type', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bottom', full_name='caffe.LayerParameter.bottom', index=2,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='top', full_name='caffe.LayerParameter.top', index=3,
number=4, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='phase', full_name='caffe.LayerParameter.phase', index=4,
number=10, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss_weight', full_name='caffe.LayerParameter.loss_weight', index=5,
number=5, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='param', full_name='caffe.LayerParameter.param', index=6,
number=6, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blobs', full_name='caffe.LayerParameter.blobs', index=7,
number=7, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='propagate_down', full_name='caffe.LayerParameter.propagate_down', index=8,
number=11, type=8, cpp_type=7, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='include', full_name='caffe.LayerParameter.include', index=9,
number=8, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='exclude', full_name='caffe.LayerParameter.exclude', index=10,
number=9, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='transform_param', full_name='caffe.LayerParameter.transform_param', index=11,
number=100, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss_param', full_name='caffe.LayerParameter.loss_param', index=12,
number=101, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='accuracy_param', full_name='caffe.LayerParameter.accuracy_param', index=13,
number=102, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='argmax_param', full_name='caffe.LayerParameter.argmax_param', index=14,
number=103, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='concat_param', full_name='caffe.LayerParameter.concat_param', index=15,
number=104, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='contrastive_loss_param', full_name='caffe.LayerParameter.contrastive_loss_param', index=16,
number=105, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convolution_param', full_name='caffe.LayerParameter.convolution_param', index=17,
number=106, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='data_param', full_name='caffe.LayerParameter.data_param', index=18,
number=107, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dropout_param', full_name='caffe.LayerParameter.dropout_param', index=19,
number=108, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dummy_data_param', full_name='caffe.LayerParameter.dummy_data_param', index=20,
number=109, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='eltwise_param', full_name='caffe.LayerParameter.eltwise_param', index=21,
number=110, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='exp_param', full_name='caffe.LayerParameter.exp_param', index=22,
number=111, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='flatten_param', full_name='caffe.LayerParameter.flatten_param', index=23,
number=135, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hdf5_data_param', full_name='caffe.LayerParameter.hdf5_data_param', index=24,
number=112, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hdf5_output_param', full_name='caffe.LayerParameter.hdf5_output_param', index=25,
number=113, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hinge_loss_param', full_name='caffe.LayerParameter.hinge_loss_param', index=26,
number=114, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='image_data_param', full_name='caffe.LayerParameter.image_data_param', index=27,
number=115, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='infogain_loss_param', full_name='caffe.LayerParameter.infogain_loss_param', index=28,
number=116, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='inner_product_param', full_name='caffe.LayerParameter.inner_product_param', index=29,
number=117, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='log_param', full_name='caffe.LayerParameter.log_param', index=30,
number=134, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='lrn_param', full_name='caffe.LayerParameter.lrn_param', index=31,
number=118, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='memory_data_param', full_name='caffe.LayerParameter.memory_data_param', index=32,
number=119, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mvn_param', full_name='caffe.LayerParameter.mvn_param', index=33,
number=120, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pooling_param', full_name='caffe.LayerParameter.pooling_param', index=34,
number=121, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='power_param', full_name='caffe.LayerParameter.power_param', index=35,
number=122, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='prelu_param', full_name='caffe.LayerParameter.prelu_param', index=36,
number=131, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='python_param', full_name='caffe.LayerParameter.python_param', index=37,
number=130, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='reduction_param', full_name='caffe.LayerParameter.reduction_param', index=38,
number=136, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='relu_param', full_name='caffe.LayerParameter.relu_param', index=39,
number=123, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='reshape_param', full_name='caffe.LayerParameter.reshape_param', index=40,
number=133, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sigmoid_param', full_name='caffe.LayerParameter.sigmoid_param', index=41,
number=124, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='softmax_param', full_name='caffe.LayerParameter.softmax_param', index=42,
number=125, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='spp_param', full_name='caffe.LayerParameter.spp_param', index=43,
number=132, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='slice_param', full_name='caffe.LayerParameter.slice_param', index=44,
number=126, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='tanh_param', full_name='caffe.LayerParameter.tanh_param', index=45,
number=127, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='threshold_param', full_name='caffe.LayerParameter.threshold_param', index=46,
number=128, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='window_data_param', full_name='caffe.LayerParameter.window_data_param', index=47,
number=129, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=2497,
serialized_end=4594,
)
_TRANSFORMATIONPARAMETER = _descriptor.Descriptor(
name='TransformationParameter',
full_name='caffe.TransformationParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.TransformationParameter.scale', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mirror', full_name='caffe.TransformationParameter.mirror', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_size', full_name='caffe.TransformationParameter.crop_size', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_file', full_name='caffe.TransformationParameter.mean_file', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_value', full_name='caffe.TransformationParameter.mean_value', index=4,
number=5, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_color', full_name='caffe.TransformationParameter.force_color', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_gray', full_name='caffe.TransformationParameter.force_gray', index=6,
number=7, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=4597,
serialized_end=4779,
)
_LOSSPARAMETER = _descriptor.Descriptor(
name='LossParameter',
full_name='caffe.LossParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='ignore_label', full_name='caffe.LossParameter.ignore_label', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='normalize', full_name='caffe.LossParameter.normalize', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=4781,
serialized_end=4843,
)
_ACCURACYPARAMETER = _descriptor.Descriptor(
name='AccuracyParameter',
full_name='caffe.AccuracyParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_k', full_name='caffe.AccuracyParameter.top_k', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.AccuracyParameter.axis', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='ignore_label', full_name='caffe.AccuracyParameter.ignore_label', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=4845,
serialized_end=4921,
)
_ARGMAXPARAMETER = _descriptor.Descriptor(
name='ArgMaxParameter',
full_name='caffe.ArgMaxParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='out_max_val', full_name='caffe.ArgMaxParameter.out_max_val', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='top_k', full_name='caffe.ArgMaxParameter.top_k', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=4923,
serialized_end=4986,
)
_CONCATPARAMETER = _descriptor.Descriptor(
name='ConcatParameter',
full_name='caffe.ConcatParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.ConcatParameter.axis', index=0,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='concat_dim', full_name='caffe.ConcatParameter.concat_dim', index=1,
number=1, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=4988,
serialized_end=5045,
)
_CONTRASTIVELOSSPARAMETER = _descriptor.Descriptor(
name='ContrastiveLossParameter',
full_name='caffe.ContrastiveLossParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='margin', full_name='caffe.ContrastiveLossParameter.margin', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='legacy_version', full_name='caffe.ContrastiveLossParameter.legacy_version', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=5047,
serialized_end=5123,
)
_CONVOLUTIONPARAMETER = _descriptor.Descriptor(
name='ConvolutionParameter',
full_name='caffe.ConvolutionParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_output', full_name='caffe.ConvolutionParameter.num_output', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_term', full_name='caffe.ConvolutionParameter.bias_term', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad', full_name='caffe.ConvolutionParameter.pad', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_h', full_name='caffe.ConvolutionParameter.pad_h', index=3,
number=9, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_w', full_name='caffe.ConvolutionParameter.pad_w', index=4,
number=10, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_size', full_name='caffe.ConvolutionParameter.kernel_size', index=5,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_h', full_name='caffe.ConvolutionParameter.kernel_h', index=6,
number=11, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_w', full_name='caffe.ConvolutionParameter.kernel_w', index=7,
number=12, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='group', full_name='caffe.ConvolutionParameter.group', index=8,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride', full_name='caffe.ConvolutionParameter.stride', index=9,
number=6, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride_h', full_name='caffe.ConvolutionParameter.stride_h', index=10,
number=13, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride_w', full_name='caffe.ConvolutionParameter.stride_w', index=11,
number=14, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_filler', full_name='caffe.ConvolutionParameter.weight_filler', index=12,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_filler', full_name='caffe.ConvolutionParameter.bias_filler', index=13,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.ConvolutionParameter.engine', index=14,
number=15, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_CONVOLUTIONPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=5126,
serialized_end=5573,
)
_DATAPARAMETER = _descriptor.Descriptor(
name='DataParameter',
full_name='caffe.DataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='caffe.DataParameter.source', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_size', full_name='caffe.DataParameter.batch_size', index=1,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='rand_skip', full_name='caffe.DataParameter.rand_skip', index=2,
number=7, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='backend', full_name='caffe.DataParameter.backend', index=3,
number=8, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.DataParameter.scale', index=4,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_file', full_name='caffe.DataParameter.mean_file', index=5,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_size', full_name='caffe.DataParameter.crop_size', index=6,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mirror', full_name='caffe.DataParameter.mirror', index=7,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='force_encoded_color', full_name='caffe.DataParameter.force_encoded_color', index=8,
number=9, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_DATAPARAMETER_DB,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=5576,
serialized_end=5847,
)
_DROPOUTPARAMETER = _descriptor.Descriptor(
name='DropoutParameter',
full_name='caffe.DropoutParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='dropout_ratio', full_name='caffe.DropoutParameter.dropout_ratio', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=5849,
serialized_end=5895,
)
_DUMMYDATAPARAMETER = _descriptor.Descriptor(
name='DummyDataParameter',
full_name='caffe.DummyDataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data_filler', full_name='caffe.DummyDataParameter.data_filler', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shape', full_name='caffe.DummyDataParameter.shape', index=1,
number=6, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num', full_name='caffe.DummyDataParameter.num', index=2,
number=2, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channels', full_name='caffe.DummyDataParameter.channels', index=3,
number=3, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height', full_name='caffe.DummyDataParameter.height', index=4,
number=4, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='caffe.DummyDataParameter.width', index=5,
number=5, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=5898,
serialized_end=6058,
)
_ELTWISEPARAMETER = _descriptor.Descriptor(
name='EltwiseParameter',
full_name='caffe.EltwiseParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operation', full_name='caffe.EltwiseParameter.operation', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='coeff', full_name='caffe.EltwiseParameter.coeff', index=1,
number=2, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stable_prod_grad', full_name='caffe.EltwiseParameter.stable_prod_grad', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_ELTWISEPARAMETER_ELTWISEOP,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6061,
serialized_end=6226,
)
_EXPPARAMETER = _descriptor.Descriptor(
name='ExpParameter',
full_name='caffe.ExpParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='caffe.ExpParameter.base', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.ExpParameter.scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shift', full_name='caffe.ExpParameter.shift', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6228,
serialized_end=6296,
)
_FLATTENPARAMETER = _descriptor.Descriptor(
name='FlattenParameter',
full_name='caffe.FlattenParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.FlattenParameter.axis', index=0,
number=1, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='end_axis', full_name='caffe.FlattenParameter.end_axis', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6298,
serialized_end=6355,
)
_HDF5DATAPARAMETER = _descriptor.Descriptor(
name='HDF5DataParameter',
full_name='caffe.HDF5DataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='caffe.HDF5DataParameter.source', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_size', full_name='caffe.HDF5DataParameter.batch_size', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shuffle', full_name='caffe.HDF5DataParameter.shuffle', index=2,
number=3, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6357,
serialized_end=6436,
)
_HDF5OUTPUTPARAMETER = _descriptor.Descriptor(
name='HDF5OutputParameter',
full_name='caffe.HDF5OutputParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='file_name', full_name='caffe.HDF5OutputParameter.file_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6438,
serialized_end=6478,
)
_HINGELOSSPARAMETER = _descriptor.Descriptor(
name='HingeLossParameter',
full_name='caffe.HingeLossParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='norm', full_name='caffe.HingeLossParameter.norm', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_HINGELOSSPARAMETER_NORM,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6480,
serialized_end=6574,
)
_IMAGEDATAPARAMETER = _descriptor.Descriptor(
name='ImageDataParameter',
full_name='caffe.ImageDataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='caffe.ImageDataParameter.source', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_size', full_name='caffe.ImageDataParameter.batch_size', index=1,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='rand_skip', full_name='caffe.ImageDataParameter.rand_skip', index=2,
number=7, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shuffle', full_name='caffe.ImageDataParameter.shuffle', index=3,
number=8, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_height', full_name='caffe.ImageDataParameter.new_height', index=4,
number=9, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_width', full_name='caffe.ImageDataParameter.new_width', index=5,
number=10, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='is_color', full_name='caffe.ImageDataParameter.is_color', index=6,
number=11, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.ImageDataParameter.scale', index=7,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_file', full_name='caffe.ImageDataParameter.mean_file', index=8,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_size', full_name='caffe.ImageDataParameter.crop_size', index=9,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mirror', full_name='caffe.ImageDataParameter.mirror', index=10,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='root_folder', full_name='caffe.ImageDataParameter.root_folder', index=11,
number=12, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6577,
serialized_end=6853,
)
_INFOGAINLOSSPARAMETER = _descriptor.Descriptor(
name='InfogainLossParameter',
full_name='caffe.InfogainLossParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='caffe.InfogainLossParameter.source', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6855,
serialized_end=6894,
)
_INNERPRODUCTPARAMETER = _descriptor.Descriptor(
name='InnerProductParameter',
full_name='caffe.InnerProductParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='num_output', full_name='caffe.InnerProductParameter.num_output', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_term', full_name='caffe.InnerProductParameter.bias_term', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_filler', full_name='caffe.InnerProductParameter.weight_filler', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_filler', full_name='caffe.InnerProductParameter.bias_filler', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.InnerProductParameter.axis', index=4,
number=5, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=6897,
serialized_end=7074,
)
_LOGPARAMETER = _descriptor.Descriptor(
name='LogParameter',
full_name='caffe.LogParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='caffe.LogParameter.base', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.LogParameter.scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shift', full_name='caffe.LogParameter.shift', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7076,
serialized_end=7144,
)
_LRNPARAMETER = _descriptor.Descriptor(
name='LRNParameter',
full_name='caffe.LRNParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='local_size', full_name='caffe.LRNParameter.local_size', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='alpha', full_name='caffe.LRNParameter.alpha', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='beta', full_name='caffe.LRNParameter.beta', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.75,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='norm_region', full_name='caffe.LRNParameter.norm_region', index=3,
number=4, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='k', full_name='caffe.LRNParameter.k', index=4,
number=5, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_LRNPARAMETER_NORMREGION,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7147,
serialized_end=7361,
)
_MEMORYDATAPARAMETER = _descriptor.Descriptor(
name='MemoryDataParameter',
full_name='caffe.MemoryDataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='batch_size', full_name='caffe.MemoryDataParameter.batch_size', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channels', full_name='caffe.MemoryDataParameter.channels', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='height', full_name='caffe.MemoryDataParameter.height', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='width', full_name='caffe.MemoryDataParameter.width', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7363,
serialized_end=7453,
)
_MVNPARAMETER = _descriptor.Descriptor(
name='MVNParameter',
full_name='caffe.MVNParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='normalize_variance', full_name='caffe.MVNParameter.normalize_variance', index=0,
number=1, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='across_channels', full_name='caffe.MVNParameter.across_channels', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='eps', full_name='caffe.MVNParameter.eps', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1e-09,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7455,
serialized_end=7555,
)
_POOLINGPARAMETER = _descriptor.Descriptor(
name='PoolingParameter',
full_name='caffe.PoolingParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='pool', full_name='caffe.PoolingParameter.pool', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad', full_name='caffe.PoolingParameter.pad', index=1,
number=4, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_h', full_name='caffe.PoolingParameter.pad_h', index=2,
number=9, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad_w', full_name='caffe.PoolingParameter.pad_w', index=3,
number=10, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_size', full_name='caffe.PoolingParameter.kernel_size', index=4,
number=2, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_h', full_name='caffe.PoolingParameter.kernel_h', index=5,
number=5, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernel_w', full_name='caffe.PoolingParameter.kernel_w', index=6,
number=6, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride', full_name='caffe.PoolingParameter.stride', index=7,
number=3, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride_h', full_name='caffe.PoolingParameter.stride_h', index=8,
number=7, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride_w', full_name='caffe.PoolingParameter.stride_w', index=9,
number=8, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.PoolingParameter.engine', index=10,
number=11, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='global_pooling', full_name='caffe.PoolingParameter.global_pooling', index=11,
number=12, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_POOLINGPARAMETER_POOLMETHOD,
_POOLINGPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7558,
serialized_end=7976,
)
_POWERPARAMETER = _descriptor.Descriptor(
name='PowerParameter',
full_name='caffe.PowerParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='power', full_name='caffe.PowerParameter.power', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.PowerParameter.scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shift', full_name='caffe.PowerParameter.shift', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=7978,
serialized_end=8048,
)
_PYTHONPARAMETER = _descriptor.Descriptor(
name='PythonParameter',
full_name='caffe.PythonParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='module', full_name='caffe.PythonParameter.module', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='layer', full_name='caffe.PythonParameter.layer', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8050,
serialized_end=8098,
)
_REDUCTIONPARAMETER = _descriptor.Descriptor(
name='ReductionParameter',
full_name='caffe.ReductionParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='operation', full_name='caffe.ReductionParameter.operation', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.ReductionParameter.axis', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='coeff', full_name='caffe.ReductionParameter.coeff', index=2,
number=3, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_REDUCTIONPARAMETER_REDUCTIONOP,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8101,
serialized_end=8274,
)
_RELUPARAMETER = _descriptor.Descriptor(
name='ReLUParameter',
full_name='caffe.ReLUParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='negative_slope', full_name='caffe.ReLUParameter.negative_slope', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.ReLUParameter.engine', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_RELUPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8277,
serialized_end=8418,
)
_RESHAPEPARAMETER = _descriptor.Descriptor(
name='ReshapeParameter',
full_name='caffe.ReshapeParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='shape', full_name='caffe.ReshapeParameter.shape', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.ReshapeParameter.axis', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_axes', full_name='caffe.ReshapeParameter.num_axes', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8420,
serialized_end=8510,
)
_SIGMOIDPARAMETER = _descriptor.Descriptor(
name='SigmoidParameter',
full_name='caffe.SigmoidParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.SigmoidParameter.engine', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_SIGMOIDPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8512,
serialized_end=8632,
)
_SLICEPARAMETER = _descriptor.Descriptor(
name='SliceParameter',
full_name='caffe.SliceParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.SliceParameter.axis', index=0,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='slice_point', full_name='caffe.SliceParameter.slice_point', index=1,
number=2, type=13, cpp_type=3, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='slice_dim', full_name='caffe.SliceParameter.slice_dim', index=2,
number=1, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8634,
serialized_end=8710,
)
_SOFTMAXPARAMETER = _descriptor.Descriptor(
name='SoftmaxParameter',
full_name='caffe.SoftmaxParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.SoftmaxParameter.engine', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='axis', full_name='caffe.SoftmaxParameter.axis', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_SOFTMAXPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8713,
serialized_end=8850,
)
_TANHPARAMETER = _descriptor.Descriptor(
name='TanHParameter',
full_name='caffe.TanHParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.TanHParameter.engine', index=0,
number=1, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_TANHPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8852,
serialized_end=8966,
)
_THRESHOLDPARAMETER = _descriptor.Descriptor(
name='ThresholdParameter',
full_name='caffe.ThresholdParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='threshold', full_name='caffe.ThresholdParameter.threshold', index=0,
number=1, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=8968,
serialized_end=9010,
)
_WINDOWDATAPARAMETER = _descriptor.Descriptor(
name='WindowDataParameter',
full_name='caffe.WindowDataParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='source', full_name='caffe.WindowDataParameter.source', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.WindowDataParameter.scale', index=1,
number=2, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mean_file', full_name='caffe.WindowDataParameter.mean_file', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batch_size', full_name='caffe.WindowDataParameter.batch_size', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_size', full_name='caffe.WindowDataParameter.crop_size', index=4,
number=5, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mirror', full_name='caffe.WindowDataParameter.mirror', index=5,
number=6, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='fg_threshold', full_name='caffe.WindowDataParameter.fg_threshold', index=6,
number=7, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bg_threshold', full_name='caffe.WindowDataParameter.bg_threshold', index=7,
number=8, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='fg_fraction', full_name='caffe.WindowDataParameter.fg_fraction', index=8,
number=9, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.25,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='context_pad', full_name='caffe.WindowDataParameter.context_pad', index=9,
number=10, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='crop_mode', full_name='caffe.WindowDataParameter.crop_mode', index=10,
number=11, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("warp", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='cache_images', full_name='caffe.WindowDataParameter.cache_images', index=11,
number=12, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='root_folder', full_name='caffe.WindowDataParameter.root_folder', index=12,
number=13, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=9013,
serialized_end=9334,
)
_SPPPARAMETER = _descriptor.Descriptor(
name='SPPParameter',
full_name='caffe.SPPParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='pyramid_height', full_name='caffe.SPPParameter.pyramid_height', index=0,
number=1, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pool', full_name='caffe.SPPParameter.pool', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='engine', full_name='caffe.SPPParameter.engine', index=2,
number=6, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_SPPPARAMETER_POOLMETHOD,
_SPPPARAMETER_ENGINE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=9337,
serialized_end=9572,
)
_V1LAYERPARAMETER = _descriptor.Descriptor(
name='V1LayerParameter',
full_name='caffe.V1LayerParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='bottom', full_name='caffe.V1LayerParameter.bottom', index=0,
number=2, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='top', full_name='caffe.V1LayerParameter.top', index=1,
number=3, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='name', full_name='caffe.V1LayerParameter.name', index=2,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='include', full_name='caffe.V1LayerParameter.include', index=3,
number=32, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='exclude', full_name='caffe.V1LayerParameter.exclude', index=4,
number=33, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='type', full_name='caffe.V1LayerParameter.type', index=5,
number=5, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blobs', full_name='caffe.V1LayerParameter.blobs', index=6,
number=6, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='param', full_name='caffe.V1LayerParameter.param', index=7,
number=1001, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blob_share_mode', full_name='caffe.V1LayerParameter.blob_share_mode', index=8,
number=1002, type=14, cpp_type=8, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blobs_lr', full_name='caffe.V1LayerParameter.blobs_lr', index=9,
number=7, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_decay', full_name='caffe.V1LayerParameter.weight_decay', index=10,
number=8, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss_weight', full_name='caffe.V1LayerParameter.loss_weight', index=11,
number=35, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='accuracy_param', full_name='caffe.V1LayerParameter.accuracy_param', index=12,
number=27, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='argmax_param', full_name='caffe.V1LayerParameter.argmax_param', index=13,
number=23, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='concat_param', full_name='caffe.V1LayerParameter.concat_param', index=14,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='contrastive_loss_param', full_name='caffe.V1LayerParameter.contrastive_loss_param', index=15,
number=40, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='convolution_param', full_name='caffe.V1LayerParameter.convolution_param', index=16,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='data_param', full_name='caffe.V1LayerParameter.data_param', index=17,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dropout_param', full_name='caffe.V1LayerParameter.dropout_param', index=18,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dummy_data_param', full_name='caffe.V1LayerParameter.dummy_data_param', index=19,
number=26, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='eltwise_param', full_name='caffe.V1LayerParameter.eltwise_param', index=20,
number=24, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='exp_param', full_name='caffe.V1LayerParameter.exp_param', index=21,
number=41, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hdf5_data_param', full_name='caffe.V1LayerParameter.hdf5_data_param', index=22,
number=13, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hdf5_output_param', full_name='caffe.V1LayerParameter.hdf5_output_param', index=23,
number=14, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hinge_loss_param', full_name='caffe.V1LayerParameter.hinge_loss_param', index=24,
number=29, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='image_data_param', full_name='caffe.V1LayerParameter.image_data_param', index=25,
number=15, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='infogain_loss_param', full_name='caffe.V1LayerParameter.infogain_loss_param', index=26,
number=16, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='inner_product_param', full_name='caffe.V1LayerParameter.inner_product_param', index=27,
number=17, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='lrn_param', full_name='caffe.V1LayerParameter.lrn_param', index=28,
number=18, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='memory_data_param', full_name='caffe.V1LayerParameter.memory_data_param', index=29,
number=22, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mvn_param', full_name='caffe.V1LayerParameter.mvn_param', index=30,
number=34, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pooling_param', full_name='caffe.V1LayerParameter.pooling_param', index=31,
number=19, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='power_param', full_name='caffe.V1LayerParameter.power_param', index=32,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='relu_param', full_name='caffe.V1LayerParameter.relu_param', index=33,
number=30, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='sigmoid_param', full_name='caffe.V1LayerParameter.sigmoid_param', index=34,
number=38, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='softmax_param', full_name='caffe.V1LayerParameter.softmax_param', index=35,
number=39, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='slice_param', full_name='caffe.V1LayerParameter.slice_param', index=36,
number=31, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='tanh_param', full_name='caffe.V1LayerParameter.tanh_param', index=37,
number=37, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='threshold_param', full_name='caffe.V1LayerParameter.threshold_param', index=38,
number=25, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='window_data_param', full_name='caffe.V1LayerParameter.window_data_param', index=39,
number=20, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='transform_param', full_name='caffe.V1LayerParameter.transform_param', index=40,
number=36, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='loss_param', full_name='caffe.V1LayerParameter.loss_param', index=41,
number=42, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='layer', full_name='caffe.V1LayerParameter.layer', index=42,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_V1LAYERPARAMETER_LAYERTYPE,
_V1LAYERPARAMETER_DIMCHECKMODE,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=9575,
serialized_end=12103,
)
_V0LAYERPARAMETER = _descriptor.Descriptor(
name='V0LayerParameter',
full_name='caffe.V0LayerParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='name', full_name='caffe.V0LayerParameter.name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='type', full_name='caffe.V0LayerParameter.type', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='num_output', full_name='caffe.V0LayerParameter.num_output', index=2,
number=3, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='biasterm', full_name='caffe.V0LayerParameter.biasterm', index=3,
number=4, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=True,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_filler', full_name='caffe.V0LayerParameter.weight_filler', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='bias_filler', full_name='caffe.V0LayerParameter.bias_filler', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pad', full_name='caffe.V0LayerParameter.pad', index=6,
number=7, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='kernelsize', full_name='caffe.V0LayerParameter.kernelsize', index=7,
number=8, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='group', full_name='caffe.V0LayerParameter.group', index=8,
number=9, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='stride', full_name='caffe.V0LayerParameter.stride', index=9,
number=10, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='pool', full_name='caffe.V0LayerParameter.pool', index=10,
number=11, type=14, cpp_type=8, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='dropout_ratio', full_name='caffe.V0LayerParameter.dropout_ratio', index=11,
number=12, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='local_size', full_name='caffe.V0LayerParameter.local_size', index=12,
number=13, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='alpha', full_name='caffe.V0LayerParameter.alpha', index=13,
number=14, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='beta', full_name='caffe.V0LayerParameter.beta', index=14,
number=15, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.75,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='k', full_name='caffe.V0LayerParameter.k', index=15,
number=22, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='source', full_name='caffe.V0LayerParameter.source', index=16,
number=16, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='scale', full_name='caffe.V0LayerParameter.scale', index=17,
number=17, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='meanfile', full_name='caffe.V0LayerParameter.meanfile', index=18,
number=18, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='batchsize', full_name='caffe.V0LayerParameter.batchsize', index=19,
number=19, type=13, cpp_type=3, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='cropsize', full_name='caffe.V0LayerParameter.cropsize', index=20,
number=20, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='mirror', full_name='caffe.V0LayerParameter.mirror', index=21,
number=21, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blobs', full_name='caffe.V0LayerParameter.blobs', index=22,
number=50, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='blobs_lr', full_name='caffe.V0LayerParameter.blobs_lr', index=23,
number=51, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='weight_decay', full_name='caffe.V0LayerParameter.weight_decay', index=24,
number=52, type=2, cpp_type=6, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='rand_skip', full_name='caffe.V0LayerParameter.rand_skip', index=25,
number=53, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='det_fg_threshold', full_name='caffe.V0LayerParameter.det_fg_threshold', index=26,
number=54, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='det_bg_threshold', full_name='caffe.V0LayerParameter.det_bg_threshold', index=27,
number=55, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.5,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='det_fg_fraction', full_name='caffe.V0LayerParameter.det_fg_fraction', index=28,
number=56, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=0.25,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='det_context_pad', full_name='caffe.V0LayerParameter.det_context_pad', index=29,
number=58, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='det_crop_mode', full_name='caffe.V0LayerParameter.det_crop_mode', index=30,
number=59, type=9, cpp_type=9, label=1,
has_default_value=True, default_value=unicode("warp", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_num', full_name='caffe.V0LayerParameter.new_num', index=31,
number=60, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_channels', full_name='caffe.V0LayerParameter.new_channels', index=32,
number=61, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_height', full_name='caffe.V0LayerParameter.new_height', index=33,
number=62, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='new_width', full_name='caffe.V0LayerParameter.new_width', index=34,
number=63, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='shuffle_images', full_name='caffe.V0LayerParameter.shuffle_images', index=35,
number=64, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='concat_dim', full_name='caffe.V0LayerParameter.concat_dim', index=36,
number=65, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='hdf5_output_param', full_name='caffe.V0LayerParameter.hdf5_output_param', index=37,
number=1001, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
_V0LAYERPARAMETER_POOLMETHOD,
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=12106,
serialized_end=13127,
)
_PRELUPARAMETER = _descriptor.Descriptor(
name='PReLUParameter',
full_name='caffe.PReLUParameter',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='filler', full_name='caffe.PReLUParameter.filler', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
_descriptor.FieldDescriptor(
name='channel_shared', full_name='caffe.PReLUParameter.channel_shared', index=1,
number=2, type=8, cpp_type=7, label=1,
has_default_value=True, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=13129,
serialized_end=13216,
)
_BLOBPROTO.fields_by_name['shape'].message_type = _BLOBSHAPE
_BLOBPROTOVECTOR.fields_by_name['blobs'].message_type = _BLOBPROTO
_FILLERPARAMETER.fields_by_name['variance_norm'].enum_type = _FILLERPARAMETER_VARIANCENORM
_FILLERPARAMETER_VARIANCENORM.containing_type = _FILLERPARAMETER;
_NETPARAMETER.fields_by_name['input_shape'].message_type = _BLOBSHAPE
_NETPARAMETER.fields_by_name['state'].message_type = _NETSTATE
_NETPARAMETER.fields_by_name['layer'].message_type = _LAYERPARAMETER
_NETPARAMETER.fields_by_name['layers'].message_type = _V1LAYERPARAMETER
_SOLVERPARAMETER.fields_by_name['net_param'].message_type = _NETPARAMETER
_SOLVERPARAMETER.fields_by_name['train_net_param'].message_type = _NETPARAMETER
_SOLVERPARAMETER.fields_by_name['test_net_param'].message_type = _NETPARAMETER
_SOLVERPARAMETER.fields_by_name['train_state'].message_type = _NETSTATE
_SOLVERPARAMETER.fields_by_name['test_state'].message_type = _NETSTATE
_SOLVERPARAMETER.fields_by_name['solver_mode'].enum_type = _SOLVERPARAMETER_SOLVERMODE
_SOLVERPARAMETER.fields_by_name['solver_type'].enum_type = _SOLVERPARAMETER_SOLVERTYPE
_SOLVERPARAMETER_SOLVERMODE.containing_type = _SOLVERPARAMETER;
_SOLVERPARAMETER_SOLVERTYPE.containing_type = _SOLVERPARAMETER;
_SOLVERSTATE.fields_by_name['history'].message_type = _BLOBPROTO
_NETSTATE.fields_by_name['phase'].enum_type = _PHASE
_NETSTATERULE.fields_by_name['phase'].enum_type = _PHASE
_PARAMSPEC.fields_by_name['share_mode'].enum_type = _PARAMSPEC_DIMCHECKMODE
_PARAMSPEC_DIMCHECKMODE.containing_type = _PARAMSPEC;
_LAYERPARAMETER.fields_by_name['phase'].enum_type = _PHASE
_LAYERPARAMETER.fields_by_name['param'].message_type = _PARAMSPEC
_LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO
_LAYERPARAMETER.fields_by_name['include'].message_type = _NETSTATERULE
_LAYERPARAMETER.fields_by_name['exclude'].message_type = _NETSTATERULE
_LAYERPARAMETER.fields_by_name['transform_param'].message_type = _TRANSFORMATIONPARAMETER
_LAYERPARAMETER.fields_by_name['loss_param'].message_type = _LOSSPARAMETER
_LAYERPARAMETER.fields_by_name['accuracy_param'].message_type = _ACCURACYPARAMETER
_LAYERPARAMETER.fields_by_name['argmax_param'].message_type = _ARGMAXPARAMETER
_LAYERPARAMETER.fields_by_name['concat_param'].message_type = _CONCATPARAMETER
_LAYERPARAMETER.fields_by_name['contrastive_loss_param'].message_type = _CONTRASTIVELOSSPARAMETER
_LAYERPARAMETER.fields_by_name['convolution_param'].message_type = _CONVOLUTIONPARAMETER
_LAYERPARAMETER.fields_by_name['data_param'].message_type = _DATAPARAMETER
_LAYERPARAMETER.fields_by_name['dropout_param'].message_type = _DROPOUTPARAMETER
_LAYERPARAMETER.fields_by_name['dummy_data_param'].message_type = _DUMMYDATAPARAMETER
_LAYERPARAMETER.fields_by_name['eltwise_param'].message_type = _ELTWISEPARAMETER
_LAYERPARAMETER.fields_by_name['exp_param'].message_type = _EXPPARAMETER
_LAYERPARAMETER.fields_by_name['flatten_param'].message_type = _FLATTENPARAMETER
_LAYERPARAMETER.fields_by_name['hdf5_data_param'].message_type = _HDF5DATAPARAMETER
_LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER
_LAYERPARAMETER.fields_by_name['hinge_loss_param'].message_type = _HINGELOSSPARAMETER
_LAYERPARAMETER.fields_by_name['image_data_param'].message_type = _IMAGEDATAPARAMETER
_LAYERPARAMETER.fields_by_name['infogain_loss_param'].message_type = _INFOGAINLOSSPARAMETER
_LAYERPARAMETER.fields_by_name['inner_product_param'].message_type = _INNERPRODUCTPARAMETER
_LAYERPARAMETER.fields_by_name['log_param'].message_type = _LOGPARAMETER
_LAYERPARAMETER.fields_by_name['lrn_param'].message_type = _LRNPARAMETER
_LAYERPARAMETER.fields_by_name['memory_data_param'].message_type = _MEMORYDATAPARAMETER
_LAYERPARAMETER.fields_by_name['mvn_param'].message_type = _MVNPARAMETER
_LAYERPARAMETER.fields_by_name['pooling_param'].message_type = _POOLINGPARAMETER
_LAYERPARAMETER.fields_by_name['power_param'].message_type = _POWERPARAMETER
_LAYERPARAMETER.fields_by_name['prelu_param'].message_type = _PRELUPARAMETER
_LAYERPARAMETER.fields_by_name['python_param'].message_type = _PYTHONPARAMETER
_LAYERPARAMETER.fields_by_name['reduction_param'].message_type = _REDUCTIONPARAMETER
_LAYERPARAMETER.fields_by_name['relu_param'].message_type = _RELUPARAMETER
_LAYERPARAMETER.fields_by_name['reshape_param'].message_type = _RESHAPEPARAMETER
_LAYERPARAMETER.fields_by_name['sigmoid_param'].message_type = _SIGMOIDPARAMETER
_LAYERPARAMETER.fields_by_name['softmax_param'].message_type = _SOFTMAXPARAMETER
_LAYERPARAMETER.fields_by_name['spp_param'].message_type = _SPPPARAMETER
_LAYERPARAMETER.fields_by_name['slice_param'].message_type = _SLICEPARAMETER
_LAYERPARAMETER.fields_by_name['tanh_param'].message_type = _TANHPARAMETER
_LAYERPARAMETER.fields_by_name['threshold_param'].message_type = _THRESHOLDPARAMETER
_LAYERPARAMETER.fields_by_name['window_data_param'].message_type = _WINDOWDATAPARAMETER
_CONVOLUTIONPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER
_CONVOLUTIONPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER
_CONVOLUTIONPARAMETER.fields_by_name['engine'].enum_type = _CONVOLUTIONPARAMETER_ENGINE
_CONVOLUTIONPARAMETER_ENGINE.containing_type = _CONVOLUTIONPARAMETER;
_DATAPARAMETER.fields_by_name['backend'].enum_type = _DATAPARAMETER_DB
_DATAPARAMETER_DB.containing_type = _DATAPARAMETER;
_DUMMYDATAPARAMETER.fields_by_name['data_filler'].message_type = _FILLERPARAMETER
_DUMMYDATAPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE
_ELTWISEPARAMETER.fields_by_name['operation'].enum_type = _ELTWISEPARAMETER_ELTWISEOP
_ELTWISEPARAMETER_ELTWISEOP.containing_type = _ELTWISEPARAMETER;
_HINGELOSSPARAMETER.fields_by_name['norm'].enum_type = _HINGELOSSPARAMETER_NORM
_HINGELOSSPARAMETER_NORM.containing_type = _HINGELOSSPARAMETER;
_INNERPRODUCTPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER
_INNERPRODUCTPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER
_LRNPARAMETER.fields_by_name['norm_region'].enum_type = _LRNPARAMETER_NORMREGION
_LRNPARAMETER_NORMREGION.containing_type = _LRNPARAMETER;
_POOLINGPARAMETER.fields_by_name['pool'].enum_type = _POOLINGPARAMETER_POOLMETHOD
_POOLINGPARAMETER.fields_by_name['engine'].enum_type = _POOLINGPARAMETER_ENGINE
_POOLINGPARAMETER_POOLMETHOD.containing_type = _POOLINGPARAMETER;
_POOLINGPARAMETER_ENGINE.containing_type = _POOLINGPARAMETER;
_REDUCTIONPARAMETER.fields_by_name['operation'].enum_type = _REDUCTIONPARAMETER_REDUCTIONOP
_REDUCTIONPARAMETER_REDUCTIONOP.containing_type = _REDUCTIONPARAMETER;
_RELUPARAMETER.fields_by_name['engine'].enum_type = _RELUPARAMETER_ENGINE
_RELUPARAMETER_ENGINE.containing_type = _RELUPARAMETER;
_RESHAPEPARAMETER.fields_by_name['shape'].message_type = _BLOBSHAPE
_SIGMOIDPARAMETER.fields_by_name['engine'].enum_type = _SIGMOIDPARAMETER_ENGINE
_SIGMOIDPARAMETER_ENGINE.containing_type = _SIGMOIDPARAMETER;
_SOFTMAXPARAMETER.fields_by_name['engine'].enum_type = _SOFTMAXPARAMETER_ENGINE
_SOFTMAXPARAMETER_ENGINE.containing_type = _SOFTMAXPARAMETER;
_TANHPARAMETER.fields_by_name['engine'].enum_type = _TANHPARAMETER_ENGINE
_TANHPARAMETER_ENGINE.containing_type = _TANHPARAMETER;
_SPPPARAMETER.fields_by_name['pool'].enum_type = _SPPPARAMETER_POOLMETHOD
_SPPPARAMETER.fields_by_name['engine'].enum_type = _SPPPARAMETER_ENGINE
_SPPPARAMETER_POOLMETHOD.containing_type = _SPPPARAMETER;
_SPPPARAMETER_ENGINE.containing_type = _SPPPARAMETER;
_V1LAYERPARAMETER.fields_by_name['include'].message_type = _NETSTATERULE
_V1LAYERPARAMETER.fields_by_name['exclude'].message_type = _NETSTATERULE
_V1LAYERPARAMETER.fields_by_name['type'].enum_type = _V1LAYERPARAMETER_LAYERTYPE
_V1LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO
_V1LAYERPARAMETER.fields_by_name['blob_share_mode'].enum_type = _V1LAYERPARAMETER_DIMCHECKMODE
_V1LAYERPARAMETER.fields_by_name['accuracy_param'].message_type = _ACCURACYPARAMETER
_V1LAYERPARAMETER.fields_by_name['argmax_param'].message_type = _ARGMAXPARAMETER
_V1LAYERPARAMETER.fields_by_name['concat_param'].message_type = _CONCATPARAMETER
_V1LAYERPARAMETER.fields_by_name['contrastive_loss_param'].message_type = _CONTRASTIVELOSSPARAMETER
_V1LAYERPARAMETER.fields_by_name['convolution_param'].message_type = _CONVOLUTIONPARAMETER
_V1LAYERPARAMETER.fields_by_name['data_param'].message_type = _DATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['dropout_param'].message_type = _DROPOUTPARAMETER
_V1LAYERPARAMETER.fields_by_name['dummy_data_param'].message_type = _DUMMYDATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['eltwise_param'].message_type = _ELTWISEPARAMETER
_V1LAYERPARAMETER.fields_by_name['exp_param'].message_type = _EXPPARAMETER
_V1LAYERPARAMETER.fields_by_name['hdf5_data_param'].message_type = _HDF5DATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER
_V1LAYERPARAMETER.fields_by_name['hinge_loss_param'].message_type = _HINGELOSSPARAMETER
_V1LAYERPARAMETER.fields_by_name['image_data_param'].message_type = _IMAGEDATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['infogain_loss_param'].message_type = _INFOGAINLOSSPARAMETER
_V1LAYERPARAMETER.fields_by_name['inner_product_param'].message_type = _INNERPRODUCTPARAMETER
_V1LAYERPARAMETER.fields_by_name['lrn_param'].message_type = _LRNPARAMETER
_V1LAYERPARAMETER.fields_by_name['memory_data_param'].message_type = _MEMORYDATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['mvn_param'].message_type = _MVNPARAMETER
_V1LAYERPARAMETER.fields_by_name['pooling_param'].message_type = _POOLINGPARAMETER
_V1LAYERPARAMETER.fields_by_name['power_param'].message_type = _POWERPARAMETER
_V1LAYERPARAMETER.fields_by_name['relu_param'].message_type = _RELUPARAMETER
_V1LAYERPARAMETER.fields_by_name['sigmoid_param'].message_type = _SIGMOIDPARAMETER
_V1LAYERPARAMETER.fields_by_name['softmax_param'].message_type = _SOFTMAXPARAMETER
_V1LAYERPARAMETER.fields_by_name['slice_param'].message_type = _SLICEPARAMETER
_V1LAYERPARAMETER.fields_by_name['tanh_param'].message_type = _TANHPARAMETER
_V1LAYERPARAMETER.fields_by_name['threshold_param'].message_type = _THRESHOLDPARAMETER
_V1LAYERPARAMETER.fields_by_name['window_data_param'].message_type = _WINDOWDATAPARAMETER
_V1LAYERPARAMETER.fields_by_name['transform_param'].message_type = _TRANSFORMATIONPARAMETER
_V1LAYERPARAMETER.fields_by_name['loss_param'].message_type = _LOSSPARAMETER
_V1LAYERPARAMETER.fields_by_name['layer'].message_type = _V0LAYERPARAMETER
_V1LAYERPARAMETER_LAYERTYPE.containing_type = _V1LAYERPARAMETER;
_V1LAYERPARAMETER_DIMCHECKMODE.containing_type = _V1LAYERPARAMETER;
_V0LAYERPARAMETER.fields_by_name['weight_filler'].message_type = _FILLERPARAMETER
_V0LAYERPARAMETER.fields_by_name['bias_filler'].message_type = _FILLERPARAMETER
_V0LAYERPARAMETER.fields_by_name['pool'].enum_type = _V0LAYERPARAMETER_POOLMETHOD
_V0LAYERPARAMETER.fields_by_name['blobs'].message_type = _BLOBPROTO
_V0LAYERPARAMETER.fields_by_name['hdf5_output_param'].message_type = _HDF5OUTPUTPARAMETER
_V0LAYERPARAMETER_POOLMETHOD.containing_type = _V0LAYERPARAMETER;
_PRELUPARAMETER.fields_by_name['filler'].message_type = _FILLERPARAMETER
DESCRIPTOR.message_types_by_name['BlobShape'] = _BLOBSHAPE
DESCRIPTOR.message_types_by_name['BlobProto'] = _BLOBPROTO
DESCRIPTOR.message_types_by_name['BlobProtoVector'] = _BLOBPROTOVECTOR
DESCRIPTOR.message_types_by_name['Datum'] = _DATUM
DESCRIPTOR.message_types_by_name['FillerParameter'] = _FILLERPARAMETER
DESCRIPTOR.message_types_by_name['NetParameter'] = _NETPARAMETER
DESCRIPTOR.message_types_by_name['SolverParameter'] = _SOLVERPARAMETER
DESCRIPTOR.message_types_by_name['SolverState'] = _SOLVERSTATE
DESCRIPTOR.message_types_by_name['NetState'] = _NETSTATE
DESCRIPTOR.message_types_by_name['NetStateRule'] = _NETSTATERULE
DESCRIPTOR.message_types_by_name['ParamSpec'] = _PARAMSPEC
DESCRIPTOR.message_types_by_name['LayerParameter'] = _LAYERPARAMETER
DESCRIPTOR.message_types_by_name['TransformationParameter'] = _TRANSFORMATIONPARAMETER
DESCRIPTOR.message_types_by_name['LossParameter'] = _LOSSPARAMETER
DESCRIPTOR.message_types_by_name['AccuracyParameter'] = _ACCURACYPARAMETER
DESCRIPTOR.message_types_by_name['ArgMaxParameter'] = _ARGMAXPARAMETER
DESCRIPTOR.message_types_by_name['ConcatParameter'] = _CONCATPARAMETER
DESCRIPTOR.message_types_by_name['ContrastiveLossParameter'] = _CONTRASTIVELOSSPARAMETER
DESCRIPTOR.message_types_by_name['ConvolutionParameter'] = _CONVOLUTIONPARAMETER
DESCRIPTOR.message_types_by_name['DataParameter'] = _DATAPARAMETER
DESCRIPTOR.message_types_by_name['DropoutParameter'] = _DROPOUTPARAMETER
DESCRIPTOR.message_types_by_name['DummyDataParameter'] = _DUMMYDATAPARAMETER
DESCRIPTOR.message_types_by_name['EltwiseParameter'] = _ELTWISEPARAMETER
DESCRIPTOR.message_types_by_name['ExpParameter'] = _EXPPARAMETER
DESCRIPTOR.message_types_by_name['FlattenParameter'] = _FLATTENPARAMETER
DESCRIPTOR.message_types_by_name['HDF5DataParameter'] = _HDF5DATAPARAMETER
DESCRIPTOR.message_types_by_name['HDF5OutputParameter'] = _HDF5OUTPUTPARAMETER
DESCRIPTOR.message_types_by_name['HingeLossParameter'] = _HINGELOSSPARAMETER
DESCRIPTOR.message_types_by_name['ImageDataParameter'] = _IMAGEDATAPARAMETER
DESCRIPTOR.message_types_by_name['InfogainLossParameter'] = _INFOGAINLOSSPARAMETER
DESCRIPTOR.message_types_by_name['InnerProductParameter'] = _INNERPRODUCTPARAMETER
DESCRIPTOR.message_types_by_name['LogParameter'] = _LOGPARAMETER
DESCRIPTOR.message_types_by_name['LRNParameter'] = _LRNPARAMETER
DESCRIPTOR.message_types_by_name['MemoryDataParameter'] = _MEMORYDATAPARAMETER
DESCRIPTOR.message_types_by_name['MVNParameter'] = _MVNPARAMETER
DESCRIPTOR.message_types_by_name['PoolingParameter'] = _POOLINGPARAMETER
DESCRIPTOR.message_types_by_name['PowerParameter'] = _POWERPARAMETER
DESCRIPTOR.message_types_by_name['PythonParameter'] = _PYTHONPARAMETER
DESCRIPTOR.message_types_by_name['ReductionParameter'] = _REDUCTIONPARAMETER
DESCRIPTOR.message_types_by_name['ReLUParameter'] = _RELUPARAMETER
DESCRIPTOR.message_types_by_name['ReshapeParameter'] = _RESHAPEPARAMETER
DESCRIPTOR.message_types_by_name['SigmoidParameter'] = _SIGMOIDPARAMETER
DESCRIPTOR.message_types_by_name['SliceParameter'] = _SLICEPARAMETER
DESCRIPTOR.message_types_by_name['SoftmaxParameter'] = _SOFTMAXPARAMETER
DESCRIPTOR.message_types_by_name['TanHParameter'] = _TANHPARAMETER
DESCRIPTOR.message_types_by_name['ThresholdParameter'] = _THRESHOLDPARAMETER
DESCRIPTOR.message_types_by_name['WindowDataParameter'] = _WINDOWDATAPARAMETER
DESCRIPTOR.message_types_by_name['SPPParameter'] = _SPPPARAMETER
DESCRIPTOR.message_types_by_name['V1LayerParameter'] = _V1LAYERPARAMETER
DESCRIPTOR.message_types_by_name['V0LayerParameter'] = _V0LAYERPARAMETER
DESCRIPTOR.message_types_by_name['PReLUParameter'] = _PRELUPARAMETER
class BlobShape(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _BLOBSHAPE
# @@protoc_insertion_point(class_scope:caffe.BlobShape)
class BlobProto(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _BLOBPROTO
# @@protoc_insertion_point(class_scope:caffe.BlobProto)
class BlobProtoVector(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _BLOBPROTOVECTOR
# @@protoc_insertion_point(class_scope:caffe.BlobProtoVector)
class Datum(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _DATUM
# @@protoc_insertion_point(class_scope:caffe.Datum)
class FillerParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _FILLERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.FillerParameter)
class NetParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _NETPARAMETER
# @@protoc_insertion_point(class_scope:caffe.NetParameter)
class SolverParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SOLVERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.SolverParameter)
class SolverState(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SOLVERSTATE
# @@protoc_insertion_point(class_scope:caffe.SolverState)
class NetState(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _NETSTATE
# @@protoc_insertion_point(class_scope:caffe.NetState)
class NetStateRule(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _NETSTATERULE
# @@protoc_insertion_point(class_scope:caffe.NetStateRule)
class ParamSpec(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _PARAMSPEC
# @@protoc_insertion_point(class_scope:caffe.ParamSpec)
class LayerParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _LAYERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.LayerParameter)
class TransformationParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _TRANSFORMATIONPARAMETER
# @@protoc_insertion_point(class_scope:caffe.TransformationParameter)
class LossParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _LOSSPARAMETER
# @@protoc_insertion_point(class_scope:caffe.LossParameter)
class AccuracyParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _ACCURACYPARAMETER
# @@protoc_insertion_point(class_scope:caffe.AccuracyParameter)
class ArgMaxParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _ARGMAXPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ArgMaxParameter)
class ConcatParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _CONCATPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ConcatParameter)
class ContrastiveLossParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _CONTRASTIVELOSSPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ContrastiveLossParameter)
class ConvolutionParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _CONVOLUTIONPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ConvolutionParameter)
class DataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _DATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.DataParameter)
class DropoutParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _DROPOUTPARAMETER
# @@protoc_insertion_point(class_scope:caffe.DropoutParameter)
class DummyDataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _DUMMYDATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.DummyDataParameter)
class EltwiseParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _ELTWISEPARAMETER
# @@protoc_insertion_point(class_scope:caffe.EltwiseParameter)
class ExpParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _EXPPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ExpParameter)
class FlattenParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _FLATTENPARAMETER
# @@protoc_insertion_point(class_scope:caffe.FlattenParameter)
class HDF5DataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _HDF5DATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.HDF5DataParameter)
class HDF5OutputParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _HDF5OUTPUTPARAMETER
# @@protoc_insertion_point(class_scope:caffe.HDF5OutputParameter)
class HingeLossParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _HINGELOSSPARAMETER
# @@protoc_insertion_point(class_scope:caffe.HingeLossParameter)
class ImageDataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _IMAGEDATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ImageDataParameter)
class InfogainLossParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _INFOGAINLOSSPARAMETER
# @@protoc_insertion_point(class_scope:caffe.InfogainLossParameter)
class InnerProductParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _INNERPRODUCTPARAMETER
# @@protoc_insertion_point(class_scope:caffe.InnerProductParameter)
class LogParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _LOGPARAMETER
# @@protoc_insertion_point(class_scope:caffe.LogParameter)
class LRNParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _LRNPARAMETER
# @@protoc_insertion_point(class_scope:caffe.LRNParameter)
class MemoryDataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _MEMORYDATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.MemoryDataParameter)
class MVNParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _MVNPARAMETER
# @@protoc_insertion_point(class_scope:caffe.MVNParameter)
class PoolingParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _POOLINGPARAMETER
# @@protoc_insertion_point(class_scope:caffe.PoolingParameter)
class PowerParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _POWERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.PowerParameter)
class PythonParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _PYTHONPARAMETER
# @@protoc_insertion_point(class_scope:caffe.PythonParameter)
class ReductionParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _REDUCTIONPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ReductionParameter)
class ReLUParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _RELUPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ReLUParameter)
class ReshapeParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _RESHAPEPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ReshapeParameter)
class SigmoidParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SIGMOIDPARAMETER
# @@protoc_insertion_point(class_scope:caffe.SigmoidParameter)
class SliceParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SLICEPARAMETER
# @@protoc_insertion_point(class_scope:caffe.SliceParameter)
class SoftmaxParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SOFTMAXPARAMETER
# @@protoc_insertion_point(class_scope:caffe.SoftmaxParameter)
class TanHParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _TANHPARAMETER
# @@protoc_insertion_point(class_scope:caffe.TanHParameter)
class ThresholdParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _THRESHOLDPARAMETER
# @@protoc_insertion_point(class_scope:caffe.ThresholdParameter)
class WindowDataParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _WINDOWDATAPARAMETER
# @@protoc_insertion_point(class_scope:caffe.WindowDataParameter)
class SPPParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _SPPPARAMETER
# @@protoc_insertion_point(class_scope:caffe.SPPParameter)
class V1LayerParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _V1LAYERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.V1LayerParameter)
class V0LayerParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _V0LAYERPARAMETER
# @@protoc_insertion_point(class_scope:caffe.V0LayerParameter)
class PReLUParameter(_message.Message):
__metaclass__ = _reflection.GeneratedProtocolMessageType
DESCRIPTOR = _PRELUPARAMETER
# @@protoc_insertion_point(class_scope:caffe.PReLUParameter)
_BLOBSHAPE.fields_by_name['dim'].has_options = True
_BLOBSHAPE.fields_by_name['dim']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')
_BLOBPROTO.fields_by_name['data'].has_options = True
_BLOBPROTO.fields_by_name['data']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')
_BLOBPROTO.fields_by_name['diff'].has_options = True
_BLOBPROTO.fields_by_name['diff']._options = _descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')
# @@protoc_insertion_point(module_scope)
|
mit
|
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] |
zenodo/invenio
|
invenio/legacy/webalert/htmlparser.py
|
11
|
6799
|
# This file is part of Invenio.
# Copyright (C) 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011 CERN.
#
# Invenio is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# Invenio is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Invenio; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
"""HTML parser for records."""
__revision__ = "$Id$"
import re
from HTMLParser import HTMLParser
import textwrap
from six.moves import html_entities
from invenio.config import \
CFG_WEBALERT_MAX_NUM_OF_CHARS_PER_LINE_IN_ALERT_EMAIL, \
CFG_SITE_LANG
from invenio.modules.formatter import format_record
from invenio.utils.html import remove_html_markup
from invenio.base.i18n import gettext_set_language
whitespaces_pattern = re.compile(r'[ \t]+')
def wrap(text):
"""Limits the number of characters per line in given text.
The function does not preserve new lines.
"""
lines = textwrap.wrap(text, CFG_WEBALERT_MAX_NUM_OF_CHARS_PER_LINE_IN_ALERT_EMAIL)
r = ''
for l in lines:
r += l + '\n'
return r
def wrap_records(text):
"""Limits the number of characters per line in given text.
The function preserves new lines.
"""
lines = text.split('\n')
result_lines = []
for l in lines:
newlines = textwrap.wrap(l, CFG_WEBALERT_MAX_NUM_OF_CHARS_PER_LINE_IN_ALERT_EMAIL)
for ll in newlines:
result_lines.append(ll)
return '\n'.join(result_lines)
class RecordHTMLParser(HTMLParser):
"""A parser for the HTML returned by invenio.legacy.search_engine.print_record.
The parser provides methods to transform the HTML returned by
invenio.legacy.search_engine.print_record into plain text, with some
minor formatting.
"""
silent = False
new_line = True # Are we at the beginning of a new line? (after
# <br/>, </p> or at the beginning of the text)
def __init__(self):
HTMLParser.__init__(self)
self.result = ''
def handle_starttag(self, tag, attrs):
if tag == 'strong':
# self.result += '*'
pass
elif tag == 'a':
self.printURL = 0
self.unclosedBracket = 0
for f in attrs:
#if f[1] == 'note':
# self.result += 'Fulltext : <'
# self.unclosedBracket = 1
if f[1] == 'moreinfo':
self.result += 'Detailed record : '
self.printURL = 1
if (self.printURL == 1) and (f[0] == 'href'):
self.result += '<' + f[1] + '>'
elif tag == 'br':
self.result += '\n'
elif tag == 'style' or tag == 'script':
self.silent = True
elif tag == 'p':
if not self.new_line:
self.result += '\n'
self.new_line = True
def handle_startendtag(self, tag, attrs):
if tag == 'br':
self.result += '\n'
self.new_line = True
def handle_endtag(self, tag):
if tag == 'strong':
# self.result += '\n'
pass
elif tag == 'a':
if self.unclosedBracket == 1:
self.result += '>'
self.unclosedBracket = 0
elif tag == 'style' or tag == 'script':
self.silent = False
elif tag == 'p':
self.result += '\n'
self.new_line = True
def handle_data(self, data):
if data.lower() in ['detailed record', 'similar record', 'cited by']:
pass
elif self.silent == False:
if self.new_line:
# Remove unnecessary trailing whitespace at the
# beginning of a line
data = data.lstrip()
# Merge all consecutive whitespaces into a single one
self.result += data
self.new_line = False
def handle_comment(self, data):
if 'START_NOT_FOR_TEXT' == data.upper().strip():
self.silent = True
elif 'END_NOT_FOR_TEXT' == data.upper().strip():
self.silent = False
def handle_charref(self, name):
"""Process character references of the form "&#ref;". Transform to text whenever possible."""
try:
self.result += unichr(int(name)).encode("utf-8")
except:
return
def handle_entityref(self, name):
"""Process a general entity reference of the form "&name;".
Transform to text whenever possible."""
if name == 'nbsp':
# Keep them for the moment. Will be processed at the end.
# It is needed to consider them separately, as all
# consecutive whitespaces will be merged into a single one
# at the end. It should not be the case of non breakable
# space. Note that because of this trick, input
# &nbsp; will be considered as a
self.result += ' '
return
char_code = html_entities.name2codepoint.get(name, None)
if char_code is not None:
try:
self.result += unichr(char_code).encode("utf-8")
except:
return
def get_as_text(record_id=0, xml_record=None, ln=CFG_SITE_LANG):
"""Return the record in a textual format"""
_ = gettext_set_language(ln)
out = ""
if record_id != 0:
rec_in_hb = format_record(record_id, of="hb")
elif xml_record:
rec_in_hb = format_record(0, of="hb", xml_record=xml_record)
rec_in_hb = rec_in_hb.replace('\n', ' ')
htparser = RecordHTMLParser()
try:
htparser.feed(rec_in_hb)
htparser.close()
out = htparser.result
except:
out = remove_html_markup(rec_in_hb)
# Remove trailing whitespace and linefeeds
out = out.strip('\n').strip()
# Merge consecutive whitespaces. Must be done here, once all HTML
# tags have been removed
out = whitespaces_pattern.sub(' ', out)
# Now consider non-breakable spaces
out = out.replace(' ', ' ')
out = re.sub(r"[\-:]?\s*%s\s*[\-:]?" % _("Detailed record"), "", out)
out = re.sub(r"[\-:]?\s*%s\s*[\-:]?" % _("Similar records"), "", out)
out = re.sub(r"[\-:]?\s*%s\s*[\-:]?" % _("Cited by"), "", out)
return out.strip()
|
gpl-2.0
|
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] |
BFriedland/UserDataBase-Heroku
|
venv/Lib/encodings/hp_roman8.py
|
134
|
13447
|
""" Python Character Mapping Codec generated from 'hp_roman8.txt' with gencodec.py.
Based on data from ftp://dkuug.dk/i18n/charmaps/HP-ROMAN8 (Keld Simonsen)
Original source: LaserJet IIP Printer User's Manual HP part no
33471-90901, Hewlet-Packard, June 1989.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_table)
def decode(self,input,errors='strict'):
return codecs.charmap_decode(input,errors,decoding_table)
class IncrementalEncoder(codecs.IncrementalEncoder):
def encode(self, input, final=False):
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
class IncrementalDecoder(codecs.IncrementalDecoder):
def decode(self, input, final=False):
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
class StreamWriter(Codec,codecs.StreamWriter):
pass
class StreamReader(Codec,codecs.StreamReader):
pass
### encodings module API
def getregentry():
return codecs.CodecInfo(
name='hp-roman8',
encode=Codec().encode,
decode=Codec().decode,
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamwriter=StreamWriter,
streamreader=StreamReader,
)
### Decoding Table
decoding_table = (
'\x00' # 0x00 -> NULL
'\x01' # 0x01 -> START OF HEADING
'\x02' # 0x02 -> START OF TEXT
'\x03' # 0x03 -> END OF TEXT
'\x04' # 0x04 -> END OF TRANSMISSION
'\x05' # 0x05 -> ENQUIRY
'\x06' # 0x06 -> ACKNOWLEDGE
'\x07' # 0x07 -> BELL
'\x08' # 0x08 -> BACKSPACE
'\t' # 0x09 -> HORIZONTAL TABULATION
'\n' # 0x0A -> LINE FEED
'\x0b' # 0x0B -> VERTICAL TABULATION
'\x0c' # 0x0C -> FORM FEED
'\r' # 0x0D -> CARRIAGE RETURN
'\x0e' # 0x0E -> SHIFT OUT
'\x0f' # 0x0F -> SHIFT IN
'\x10' # 0x10 -> DATA LINK ESCAPE
'\x11' # 0x11 -> DEVICE CONTROL ONE
'\x12' # 0x12 -> DEVICE CONTROL TWO
'\x13' # 0x13 -> DEVICE CONTROL THREE
'\x14' # 0x14 -> DEVICE CONTROL FOUR
'\x15' # 0x15 -> NEGATIVE ACKNOWLEDGE
'\x16' # 0x16 -> SYNCHRONOUS IDLE
'\x17' # 0x17 -> END OF TRANSMISSION BLOCK
'\x18' # 0x18 -> CANCEL
'\x19' # 0x19 -> END OF MEDIUM
'\x1a' # 0x1A -> SUBSTITUTE
'\x1b' # 0x1B -> ESCAPE
'\x1c' # 0x1C -> FILE SEPARATOR
'\x1d' # 0x1D -> GROUP SEPARATOR
'\x1e' # 0x1E -> RECORD SEPARATOR
'\x1f' # 0x1F -> UNIT SEPARATOR
' ' # 0x20 -> SPACE
'!' # 0x21 -> EXCLAMATION MARK
'"' # 0x22 -> QUOTATION MARK
'#' # 0x23 -> NUMBER SIGN
'$' # 0x24 -> DOLLAR SIGN
'%' # 0x25 -> PERCENT SIGN
'&' # 0x26 -> AMPERSAND
"'" # 0x27 -> APOSTROPHE
'(' # 0x28 -> LEFT PARENTHESIS
')' # 0x29 -> RIGHT PARENTHESIS
'*' # 0x2A -> ASTERISK
'+' # 0x2B -> PLUS SIGN
',' # 0x2C -> COMMA
'-' # 0x2D -> HYPHEN-MINUS
'.' # 0x2E -> FULL STOP
'/' # 0x2F -> SOLIDUS
'0' # 0x30 -> DIGIT ZERO
'1' # 0x31 -> DIGIT ONE
'2' # 0x32 -> DIGIT TWO
'3' # 0x33 -> DIGIT THREE
'4' # 0x34 -> DIGIT FOUR
'5' # 0x35 -> DIGIT FIVE
'6' # 0x36 -> DIGIT SIX
'7' # 0x37 -> DIGIT SEVEN
'8' # 0x38 -> DIGIT EIGHT
'9' # 0x39 -> DIGIT NINE
':' # 0x3A -> COLON
';' # 0x3B -> SEMICOLON
'<' # 0x3C -> LESS-THAN SIGN
'=' # 0x3D -> EQUALS SIGN
'>' # 0x3E -> GREATER-THAN SIGN
'?' # 0x3F -> QUESTION MARK
'@' # 0x40 -> COMMERCIAL AT
'A' # 0x41 -> LATIN CAPITAL LETTER A
'B' # 0x42 -> LATIN CAPITAL LETTER B
'C' # 0x43 -> LATIN CAPITAL LETTER C
'D' # 0x44 -> LATIN CAPITAL LETTER D
'E' # 0x45 -> LATIN CAPITAL LETTER E
'F' # 0x46 -> LATIN CAPITAL LETTER F
'G' # 0x47 -> LATIN CAPITAL LETTER G
'H' # 0x48 -> LATIN CAPITAL LETTER H
'I' # 0x49 -> LATIN CAPITAL LETTER I
'J' # 0x4A -> LATIN CAPITAL LETTER J
'K' # 0x4B -> LATIN CAPITAL LETTER K
'L' # 0x4C -> LATIN CAPITAL LETTER L
'M' # 0x4D -> LATIN CAPITAL LETTER M
'N' # 0x4E -> LATIN CAPITAL LETTER N
'O' # 0x4F -> LATIN CAPITAL LETTER O
'P' # 0x50 -> LATIN CAPITAL LETTER P
'Q' # 0x51 -> LATIN CAPITAL LETTER Q
'R' # 0x52 -> LATIN CAPITAL LETTER R
'S' # 0x53 -> LATIN CAPITAL LETTER S
'T' # 0x54 -> LATIN CAPITAL LETTER T
'U' # 0x55 -> LATIN CAPITAL LETTER U
'V' # 0x56 -> LATIN CAPITAL LETTER V
'W' # 0x57 -> LATIN CAPITAL LETTER W
'X' # 0x58 -> LATIN CAPITAL LETTER X
'Y' # 0x59 -> LATIN CAPITAL LETTER Y
'Z' # 0x5A -> LATIN CAPITAL LETTER Z
'[' # 0x5B -> LEFT SQUARE BRACKET
'\\' # 0x5C -> REVERSE SOLIDUS
']' # 0x5D -> RIGHT SQUARE BRACKET
'^' # 0x5E -> CIRCUMFLEX ACCENT
'_' # 0x5F -> LOW LINE
'`' # 0x60 -> GRAVE ACCENT
'a' # 0x61 -> LATIN SMALL LETTER A
'b' # 0x62 -> LATIN SMALL LETTER B
'c' # 0x63 -> LATIN SMALL LETTER C
'd' # 0x64 -> LATIN SMALL LETTER D
'e' # 0x65 -> LATIN SMALL LETTER E
'f' # 0x66 -> LATIN SMALL LETTER F
'g' # 0x67 -> LATIN SMALL LETTER G
'h' # 0x68 -> LATIN SMALL LETTER H
'i' # 0x69 -> LATIN SMALL LETTER I
'j' # 0x6A -> LATIN SMALL LETTER J
'k' # 0x6B -> LATIN SMALL LETTER K
'l' # 0x6C -> LATIN SMALL LETTER L
'm' # 0x6D -> LATIN SMALL LETTER M
'n' # 0x6E -> LATIN SMALL LETTER N
'o' # 0x6F -> LATIN SMALL LETTER O
'p' # 0x70 -> LATIN SMALL LETTER P
'q' # 0x71 -> LATIN SMALL LETTER Q
'r' # 0x72 -> LATIN SMALL LETTER R
's' # 0x73 -> LATIN SMALL LETTER S
't' # 0x74 -> LATIN SMALL LETTER T
'u' # 0x75 -> LATIN SMALL LETTER U
'v' # 0x76 -> LATIN SMALL LETTER V
'w' # 0x77 -> LATIN SMALL LETTER W
'x' # 0x78 -> LATIN SMALL LETTER X
'y' # 0x79 -> LATIN SMALL LETTER Y
'z' # 0x7A -> LATIN SMALL LETTER Z
'{' # 0x7B -> LEFT CURLY BRACKET
'|' # 0x7C -> VERTICAL LINE
'}' # 0x7D -> RIGHT CURLY BRACKET
'~' # 0x7E -> TILDE
'\x7f' # 0x7F -> DELETE
'\x80' # 0x80 -> <control>
'\x81' # 0x81 -> <control>
'\x82' # 0x82 -> <control>
'\x83' # 0x83 -> <control>
'\x84' # 0x84 -> <control>
'\x85' # 0x85 -> <control>
'\x86' # 0x86 -> <control>
'\x87' # 0x87 -> <control>
'\x88' # 0x88 -> <control>
'\x89' # 0x89 -> <control>
'\x8a' # 0x8A -> <control>
'\x8b' # 0x8B -> <control>
'\x8c' # 0x8C -> <control>
'\x8d' # 0x8D -> <control>
'\x8e' # 0x8E -> <control>
'\x8f' # 0x8F -> <control>
'\x90' # 0x90 -> <control>
'\x91' # 0x91 -> <control>
'\x92' # 0x92 -> <control>
'\x93' # 0x93 -> <control>
'\x94' # 0x94 -> <control>
'\x95' # 0x95 -> <control>
'\x96' # 0x96 -> <control>
'\x97' # 0x97 -> <control>
'\x98' # 0x98 -> <control>
'\x99' # 0x99 -> <control>
'\x9a' # 0x9A -> <control>
'\x9b' # 0x9B -> <control>
'\x9c' # 0x9C -> <control>
'\x9d' # 0x9D -> <control>
'\x9e' # 0x9E -> <control>
'\x9f' # 0x9F -> <control>
'\xa0' # 0xA0 -> NO-BREAK SPACE
'\xc0' # 0xA1 -> LATIN CAPITAL LETTER A WITH GRAVE
'\xc2' # 0xA2 -> LATIN CAPITAL LETTER A WITH CIRCUMFLEX
'\xc8' # 0xA3 -> LATIN CAPITAL LETTER E WITH GRAVE
'\xca' # 0xA4 -> LATIN CAPITAL LETTER E WITH CIRCUMFLEX
'\xcb' # 0xA5 -> LATIN CAPITAL LETTER E WITH DIAERESIS
'\xce' # 0xA6 -> LATIN CAPITAL LETTER I WITH CIRCUMFLEX
'\xcf' # 0xA7 -> LATIN CAPITAL LETTER I WITH DIAERESIS
'\xb4' # 0xA8 -> ACUTE ACCENT
'\u02cb' # 0xA9 -> MODIFIER LETTER GRAVE ACCENT (MANDARIN CHINESE FOURTH TONE)
'\u02c6' # 0xAA -> MODIFIER LETTER CIRCUMFLEX ACCENT
'\xa8' # 0xAB -> DIAERESIS
'\u02dc' # 0xAC -> SMALL TILDE
'\xd9' # 0xAD -> LATIN CAPITAL LETTER U WITH GRAVE
'\xdb' # 0xAE -> LATIN CAPITAL LETTER U WITH CIRCUMFLEX
'\u20a4' # 0xAF -> LIRA SIGN
'\xaf' # 0xB0 -> MACRON
'\xdd' # 0xB1 -> LATIN CAPITAL LETTER Y WITH ACUTE
'\xfd' # 0xB2 -> LATIN SMALL LETTER Y WITH ACUTE
'\xb0' # 0xB3 -> DEGREE SIGN
'\xc7' # 0xB4 -> LATIN CAPITAL LETTER C WITH CEDILLA
'\xe7' # 0xB5 -> LATIN SMALL LETTER C WITH CEDILLA
'\xd1' # 0xB6 -> LATIN CAPITAL LETTER N WITH TILDE
'\xf1' # 0xB7 -> LATIN SMALL LETTER N WITH TILDE
'\xa1' # 0xB8 -> INVERTED EXCLAMATION MARK
'\xbf' # 0xB9 -> INVERTED QUESTION MARK
'\xa4' # 0xBA -> CURRENCY SIGN
'\xa3' # 0xBB -> POUND SIGN
'\xa5' # 0xBC -> YEN SIGN
'\xa7' # 0xBD -> SECTION SIGN
'\u0192' # 0xBE -> LATIN SMALL LETTER F WITH HOOK
'\xa2' # 0xBF -> CENT SIGN
'\xe2' # 0xC0 -> LATIN SMALL LETTER A WITH CIRCUMFLEX
'\xea' # 0xC1 -> LATIN SMALL LETTER E WITH CIRCUMFLEX
'\xf4' # 0xC2 -> LATIN SMALL LETTER O WITH CIRCUMFLEX
'\xfb' # 0xC3 -> LATIN SMALL LETTER U WITH CIRCUMFLEX
'\xe1' # 0xC4 -> LATIN SMALL LETTER A WITH ACUTE
'\xe9' # 0xC5 -> LATIN SMALL LETTER E WITH ACUTE
'\xf3' # 0xC6 -> LATIN SMALL LETTER O WITH ACUTE
'\xfa' # 0xC7 -> LATIN SMALL LETTER U WITH ACUTE
'\xe0' # 0xC8 -> LATIN SMALL LETTER A WITH GRAVE
'\xe8' # 0xC9 -> LATIN SMALL LETTER E WITH GRAVE
'\xf2' # 0xCA -> LATIN SMALL LETTER O WITH GRAVE
'\xf9' # 0xCB -> LATIN SMALL LETTER U WITH GRAVE
'\xe4' # 0xCC -> LATIN SMALL LETTER A WITH DIAERESIS
'\xeb' # 0xCD -> LATIN SMALL LETTER E WITH DIAERESIS
'\xf6' # 0xCE -> LATIN SMALL LETTER O WITH DIAERESIS
'\xfc' # 0xCF -> LATIN SMALL LETTER U WITH DIAERESIS
'\xc5' # 0xD0 -> LATIN CAPITAL LETTER A WITH RING ABOVE
'\xee' # 0xD1 -> LATIN SMALL LETTER I WITH CIRCUMFLEX
'\xd8' # 0xD2 -> LATIN CAPITAL LETTER O WITH STROKE
'\xc6' # 0xD3 -> LATIN CAPITAL LETTER AE
'\xe5' # 0xD4 -> LATIN SMALL LETTER A WITH RING ABOVE
'\xed' # 0xD5 -> LATIN SMALL LETTER I WITH ACUTE
'\xf8' # 0xD6 -> LATIN SMALL LETTER O WITH STROKE
'\xe6' # 0xD7 -> LATIN SMALL LETTER AE
'\xc4' # 0xD8 -> LATIN CAPITAL LETTER A WITH DIAERESIS
'\xec' # 0xD9 -> LATIN SMALL LETTER I WITH GRAVE
'\xd6' # 0xDA -> LATIN CAPITAL LETTER O WITH DIAERESIS
'\xdc' # 0xDB -> LATIN CAPITAL LETTER U WITH DIAERESIS
'\xc9' # 0xDC -> LATIN CAPITAL LETTER E WITH ACUTE
'\xef' # 0xDD -> LATIN SMALL LETTER I WITH DIAERESIS
'\xdf' # 0xDE -> LATIN SMALL LETTER SHARP S (GERMAN)
'\xd4' # 0xDF -> LATIN CAPITAL LETTER O WITH CIRCUMFLEX
'\xc1' # 0xE0 -> LATIN CAPITAL LETTER A WITH ACUTE
'\xc3' # 0xE1 -> LATIN CAPITAL LETTER A WITH TILDE
'\xe3' # 0xE2 -> LATIN SMALL LETTER A WITH TILDE
'\xd0' # 0xE3 -> LATIN CAPITAL LETTER ETH (ICELANDIC)
'\xf0' # 0xE4 -> LATIN SMALL LETTER ETH (ICELANDIC)
'\xcd' # 0xE5 -> LATIN CAPITAL LETTER I WITH ACUTE
'\xcc' # 0xE6 -> LATIN CAPITAL LETTER I WITH GRAVE
'\xd3' # 0xE7 -> LATIN CAPITAL LETTER O WITH ACUTE
'\xd2' # 0xE8 -> LATIN CAPITAL LETTER O WITH GRAVE
'\xd5' # 0xE9 -> LATIN CAPITAL LETTER O WITH TILDE
'\xf5' # 0xEA -> LATIN SMALL LETTER O WITH TILDE
'\u0160' # 0xEB -> LATIN CAPITAL LETTER S WITH CARON
'\u0161' # 0xEC -> LATIN SMALL LETTER S WITH CARON
'\xda' # 0xED -> LATIN CAPITAL LETTER U WITH ACUTE
'\u0178' # 0xEE -> LATIN CAPITAL LETTER Y WITH DIAERESIS
'\xff' # 0xEF -> LATIN SMALL LETTER Y WITH DIAERESIS
'\xde' # 0xF0 -> LATIN CAPITAL LETTER THORN (ICELANDIC)
'\xfe' # 0xF1 -> LATIN SMALL LETTER THORN (ICELANDIC)
'\xb7' # 0xF2 -> MIDDLE DOT
'\xb5' # 0xF3 -> MICRO SIGN
'\xb6' # 0xF4 -> PILCROW SIGN
'\xbe' # 0xF5 -> VULGAR FRACTION THREE QUARTERS
'\u2014' # 0xF6 -> EM DASH
'\xbc' # 0xF7 -> VULGAR FRACTION ONE QUARTER
'\xbd' # 0xF8 -> VULGAR FRACTION ONE HALF
'\xaa' # 0xF9 -> FEMININE ORDINAL INDICATOR
'\xba' # 0xFA -> MASCULINE ORDINAL INDICATOR
'\xab' # 0xFB -> LEFT-POINTING DOUBLE ANGLE QUOTATION MARK
'\u25a0' # 0xFC -> BLACK SQUARE
'\xbb' # 0xFD -> RIGHT-POINTING DOUBLE ANGLE QUOTATION MARK
'\xb1' # 0xFE -> PLUS-MINUS SIGN
'\ufffe'
)
### Encoding table
encoding_table=codecs.charmap_build(decoding_table)
|
mit
|
[
624,
2018,
17660,
12340,
13732,
4046,
687,
283,
12025,
63,
20971,
24,
14,
2424,
7,
543,
486,
2143,
67,
14,
647,
14,
339,
21311,
641,
666,
687,
14904,
921,
6341,
85,
1518,
14,
6341,
15,
73,
1085,
78,
15,
1560,
8919,
15,
18635,
13,
3810,
879,
24,
334,
43,
457,
10751,
265,
2464,
9,
339,
12769,
1350,
26,
7964,
332,
42,
386,
473,
1772,
25716,
1058,
2876,
1159,
30247,
869,
48,
1777,
949,
272,
650,
1082,
3172,
13,
26578,
614,
12,
869,
546,
2723,
13,
29471,
12,
1603,
11474,
5851,
1407,
14,
199,
199,
624,
23662,
199,
199,
646,
6010,
199,
199,
5680,
13732,
15913,
199,
199,
533,
13732,
8,
8933,
14,
8818,
304,
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HuaweiSwitch/ansible
|
lib/ansible/plugins/connection/jail.py
|
35
|
8225
|
# Based on local.py (c) 2012, Michael DeHaan <michael.dehaan@gmail.com>
# and chroot.py (c) 2013, Maykel Moya <mmoya@speedyrails.com>
# (c) 2013, Michael Scherer <misc@zarb.org>
# (c) 2015, Toshio Kuratomi <tkuratomi@ansible.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import distutils.spawn
import os
import os.path
import subprocess
import traceback
from ansible.errors import AnsibleError
from ansible.module_utils.six.moves import shlex_quote
from ansible.module_utils._text import to_bytes
from ansible.plugins.connection import ConnectionBase, BUFSIZE
try:
from __main__ import display
except ImportError:
from ansible.utils.display import Display
display = Display()
class Connection(ConnectionBase):
''' Local BSD Jail based connections '''
modified_jailname_key = 'conn_jail_name'
transport = 'jail'
# Pipelining may work. Someone needs to test by setting this to True and
# having pipelining=True in their ansible.cfg
has_pipelining = True
# Some become_methods may work in v2 (sudo works for other chroot-based
# plugins while su seems to be failing). If some work, check chroot.py to
# see how to disable just some methods.
become_methods = frozenset()
def __init__(self, play_context, new_stdin, *args, **kwargs):
super(Connection, self).__init__(play_context, new_stdin, *args, **kwargs)
self.jail = self._play_context.remote_addr
if self.modified_jailname_key in kwargs :
self.jail = kwargs[self.modified_jailname_key]
if os.geteuid() != 0:
raise AnsibleError("jail connection requires running as root")
self.jls_cmd = self._search_executable('jls')
self.jexec_cmd = self._search_executable('jexec')
if self.jail not in self.list_jails():
raise AnsibleError("incorrect jail name %s" % self.jail)
@staticmethod
def _search_executable(executable):
cmd = distutils.spawn.find_executable(executable)
if not cmd:
raise AnsibleError("%s command not found in PATH" % executable)
return cmd
def list_jails(self):
p = subprocess.Popen([self.jls_cmd, '-q', 'name'],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = p.communicate()
return stdout.split()
def get_jail_path(self):
p = subprocess.Popen([self.jls_cmd, '-j', to_bytes(self.jail), '-q', 'path'],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = p.communicate()
# remove \n
return stdout[:-1]
def _connect(self):
''' connect to the jail; nothing to do here '''
super(Connection, self)._connect()
if not self._connected:
display.vvv(u"ESTABLISH JAIL CONNECTION FOR USER: {0}".format(self._play_context.remote_user), host=self.jail)
self._connected = True
def _buffered_exec_command(self, cmd, stdin=subprocess.PIPE):
''' run a command on the jail. This is only needed for implementing
put_file() get_file() so that we don't have to read the whole file
into memory.
compared to exec_command() it looses some niceties like being able to
return the process's exit code immediately.
'''
local_cmd = [self.jexec_cmd]
set_env = ''
if self._play_context.remote_user is not None:
local_cmd += ['-U', self._play_context.remote_user]
# update HOME since -U does not update the jail environment
set_env = 'HOME=~' + self._play_context.remote_user + ' '
local_cmd += [self.jail, self._play_context.executable, '-c', set_env + cmd]
display.vvv("EXEC %s" % (local_cmd,), host=self.jail)
local_cmd = [to_bytes(i, errors='surrogate_or_strict') for i in local_cmd]
p = subprocess.Popen(local_cmd, shell=False, stdin=stdin,
stdout=subprocess.PIPE, stderr=subprocess.PIPE)
return p
def exec_command(self, cmd, in_data=None, sudoable=False):
''' run a command on the jail '''
super(Connection, self).exec_command(cmd, in_data=in_data, sudoable=sudoable)
p = self._buffered_exec_command(cmd)
stdout, stderr = p.communicate(in_data)
return (p.returncode, stdout, stderr)
def _prefix_login_path(self, remote_path):
''' Make sure that we put files into a standard path
If a path is relative, then we need to choose where to put it.
ssh chooses $HOME but we aren't guaranteed that a home dir will
exist in any given chroot. So for now we're choosing "/" instead.
This also happens to be the former default.
Can revisit using $HOME instead if it's a problem
'''
if not remote_path.startswith(os.path.sep):
remote_path = os.path.join(os.path.sep, remote_path)
return os.path.normpath(remote_path)
def put_file(self, in_path, out_path):
''' transfer a file from local to jail '''
super(Connection, self).put_file(in_path, out_path)
display.vvv("PUT %s TO %s" % (in_path, out_path), host=self.jail)
out_path = shlex_quote(self._prefix_login_path(out_path))
try:
with open(to_bytes(in_path, errors='surrogate_or_strict'), 'rb') as in_file:
try:
p = self._buffered_exec_command('dd of=%s bs=%s' % (out_path, BUFSIZE), stdin=in_file)
except OSError:
raise AnsibleError("jail connection requires dd command in the jail")
try:
stdout, stderr = p.communicate()
except:
traceback.print_exc()
raise AnsibleError("failed to transfer file %s to %s" % (in_path, out_path))
if p.returncode != 0:
raise AnsibleError("failed to transfer file %s to %s:\n%s\n%s" % (in_path, out_path, stdout, stderr))
except IOError:
raise AnsibleError("file or module does not exist at: %s" % in_path)
def fetch_file(self, in_path, out_path):
''' fetch a file from jail to local '''
super(Connection, self).fetch_file(in_path, out_path)
display.vvv("FETCH %s TO %s" % (in_path, out_path), host=self.jail)
in_path = shlex_quote(self._prefix_login_path(in_path))
try:
p = self._buffered_exec_command('dd if=%s bs=%s' % (in_path, BUFSIZE))
except OSError:
raise AnsibleError("jail connection requires dd command in the jail")
with open(to_bytes(out_path, errors='surrogate_or_strict'), 'wb+') as out_file:
try:
chunk = p.stdout.read(BUFSIZE)
while chunk:
out_file.write(chunk)
chunk = p.stdout.read(BUFSIZE)
except:
traceback.print_exc()
raise AnsibleError("failed to transfer file %s to %s" % (in_path, out_path))
stdout, stderr = p.communicate()
if p.returncode != 0:
raise AnsibleError("failed to transfer file %s to %s:\n%s\n%s" % (in_path, out_path, stdout, stderr))
def close(self):
''' terminate the connection; nothing to do here '''
super(Connection, self).close()
self._connected = False
|
gpl-3.0
|
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] |
crobinso/virt-manager
|
virtinst/devices/hostdev.py
|
2
|
4651
|
#
# Copyright 2009, 2013 Red Hat, Inc.
#
# This work is licensed under the GNU GPLv2 or later.
# See the COPYING file in the top-level directory.
import re
from ..logger import log
from .device import Device
from ..nodedev import NodeDevice
from ..xmlbuilder import XMLProperty
class DeviceHostdev(Device):
XML_NAME = "hostdev"
def set_from_nodedev(self, nodedev):
log.debug("set_from_nodedev xml=\n%s", nodedev.get_xml())
if nodedev.device_type == NodeDevice.CAPABILITY_TYPE_PCI:
self.type = "pci"
self.domain = nodedev.domain
self.bus = nodedev.bus
self.slot = nodedev.slot
self.function = nodedev.function
elif nodedev.device_type == NodeDevice.CAPABILITY_TYPE_USBDEV:
self.type = "usb"
self.vendor = nodedev.vendor_id
self.product = nodedev.product_id
count = 0
for dev in self.conn.fetch_all_nodedevs():
if (dev.device_type == NodeDevice.CAPABILITY_TYPE_USBDEV and
dev.vendor_id == self.vendor and
dev.product_id == self.product):
count += 1
if count > 1:
self.bus = nodedev.bus
self.device = nodedev.device
elif nodedev.device_type == nodedev.CAPABILITY_TYPE_NET:
founddev = None
for checkdev in self.conn.fetch_all_nodedevs():
if checkdev.name == nodedev.parent:
founddev = checkdev
break
self.set_from_nodedev(founddev)
elif nodedev.device_type == nodedev.CAPABILITY_TYPE_SCSIDEV:
self.type = "scsi"
self.scsi_adapter = "scsi_host%s" % nodedev.host
self.scsi_bus = nodedev.bus
self.scsi_target = nodedev.target
self.scsi_unit = nodedev.lun
self.managed = False
elif nodedev.device_type == nodedev.CAPABILITY_TYPE_MDEV:
self.type = "mdev"
if nodedev.type_id == "vfio_ccw-io":
self.model = "vfio-ccw"
self.managed = "no"
elif nodedev.type_id == "vfio_ap-passthrough":
self.model = "vfio-ap"
self.managed = "no"
elif (re.match("^nvidia-[0-9]{2}", nodedev.type_id) or
re.match("^i915-GVTg_V[0-9]_[0-9]", nodedev.type_id)):
self.model = "vfio-pci"
self.managed = "yes"
self.display = "off"
self.ramfb = "off"
else:
raise ValueError( # pragma: no cover
_("Don't know how to generate nodedev for mdev type id '%s'") %
nodedev.type_id)
self.uuid = nodedev.get_mdev_uuid()
else:
raise ValueError(_("Unknown node device type %s") % nodedev)
_XML_PROP_ORDER = ["mode", "type", "managed", "vendor", "product",
"domain", "bus", "slot", "function", "model",
"display", "ramfb"]
mode = XMLProperty("./@mode")
type = XMLProperty("./@type")
managed = XMLProperty("./@managed", is_yesno=True)
model = XMLProperty("./@model")
display = XMLProperty("./@display")
ramfb = XMLProperty("./@ramfb")
vendor = XMLProperty("./source/vendor/@id")
product = XMLProperty("./source/product/@id")
device = XMLProperty("./source/address/@device")
bus = XMLProperty("./source/address/@bus")
domain = XMLProperty("./source/address/@domain")
function = XMLProperty("./source/address/@function")
slot = XMLProperty("./source/address/@slot")
driver_name = XMLProperty("./driver/@name")
rom_bar = XMLProperty("./rom/@bar", is_onoff=True)
# type=scsi handling
scsi_adapter = XMLProperty("./source/adapter/@name")
scsi_bus = XMLProperty("./source/address/@bus", is_int=True)
scsi_target = XMLProperty("./source/address/@target", is_int=True)
scsi_unit = XMLProperty("./source/address/@unit", is_int=True)
# type=net handling
net_interface = XMLProperty("./source/interface")
# type=misc handling
misc_char = XMLProperty("./source/char")
# type=misc handling
storage_block = XMLProperty("./source/block")
# type=mdev
uuid = XMLProperty("./source/address/@uuid")
##################
# Default config #
##################
def set_defaults(self, guest):
if self.managed is None:
self.managed = self.conn.is_xen() and "no" or "yes"
if not self.mode:
self.mode = "subsystem"
|
gpl-2.0
|
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litong01/python-monasca
|
kiloeyes/openstack/common/eventlet_backdoor.py
|
1
|
4777
|
# Copyright (c) 2012 OpenStack Foundation.
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# 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.
from __future__ import print_function
import errno
import gc
import os
import pprint
import socket
import sys
import traceback
import eventlet
import eventlet.backdoor
import greenlet
from oslo_config import cfg
from kiloeyes.openstack.common.gettextutils import _LI
from kiloeyes.openstack.common import log as logging
help_for_backdoor_port = (
"Acceptable values are 0, <port>, and <start>:<end>, where 0 results "
"in listening on a random tcp port number; <port> results in listening "
"on the specified port number (and not enabling backdoor if that port "
"is in use); and <start>:<end> results in listening on the smallest "
"unused port number within the specified range of port numbers. The "
"chosen port is displayed in the service's log file.")
eventlet_backdoor_opts = [
cfg.StrOpt('backdoor_port',
help="Enable eventlet backdoor. %s" % help_for_backdoor_port)
]
CONF = cfg.CONF
CONF.register_opts(eventlet_backdoor_opts)
LOG = logging.getLogger(__name__)
class EventletBackdoorConfigValueError(Exception):
def __init__(self, port_range, help_msg, ex):
msg = ('Invalid backdoor_port configuration %(range)s: %(ex)s. '
'%(help)s' %
{'range': port_range, 'ex': ex, 'help': help_msg})
super(EventletBackdoorConfigValueError, self).__init__(msg)
self.port_range = port_range
def _dont_use_this():
print("Don't use this, just disconnect instead")
def _find_objects(t):
return [o for o in gc.get_objects() if isinstance(o, t)]
def _print_greenthreads():
for i, gt in enumerate(_find_objects(greenlet.greenlet)):
print(i, gt)
traceback.print_stack(gt.gr_frame)
print()
def _print_nativethreads():
for threadId, stack in sys._current_frames().items():
print(threadId)
traceback.print_stack(stack)
print()
def _parse_port_range(port_range):
if ':' not in port_range:
start, end = port_range, port_range
else:
start, end = port_range.split(':', 1)
try:
start, end = int(start), int(end)
if end < start:
raise ValueError
return start, end
except ValueError as ex:
raise EventletBackdoorConfigValueError(port_range, ex,
help_for_backdoor_port)
def _listen(host, start_port, end_port, listen_func):
try_port = start_port
while True:
try:
return listen_func((host, try_port))
except socket.error as exc:
if (exc.errno != errno.EADDRINUSE or
try_port >= end_port):
raise
try_port += 1
def initialize_if_enabled():
backdoor_locals = {
'exit': _dont_use_this, # So we don't exit the entire process
'quit': _dont_use_this, # So we don't exit the entire process
'fo': _find_objects,
'pgt': _print_greenthreads,
'pnt': _print_nativethreads,
}
if CONF.backdoor_port is None:
return None
start_port, end_port = _parse_port_range(str(CONF.backdoor_port))
# NOTE(johannes): The standard sys.displayhook will print the value of
# the last expression and set it to __builtin__._, which overwrites
# the __builtin__._ that gettext sets. Let's switch to using pprint
# since it won't interact poorly with gettext, and it's easier to
# read the output too.
def displayhook(val):
if val is not None:
pprint.pprint(val)
sys.displayhook = displayhook
sock = _listen('localhost', start_port, end_port, eventlet.listen)
# In the case of backdoor port being zero, a port number is assigned by
# listen(). In any case, pull the port number out here.
port = sock.getsockname()[1]
LOG.info(
_LI('Eventlet backdoor listening on %(port)s for process %(pid)d') %
{'port': port, 'pid': os.getpid()}
)
eventlet.spawn_n(eventlet.backdoor.backdoor_server, sock,
locals=backdoor_locals)
return port
|
apache-2.0
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chuan9/chromium-crosswalk
|
base/allocator/prep_libc.py
|
50
|
2407
|
#!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
# This script takes libcmt.lib for VS2013 and removes the allocation related
# functions from it.
#
# Usage: prep_libc.py <VCLibDir> <OutputDir> <arch>
#
# VCLibDir is the path where VC is installed, something like:
# C:\Program Files\Microsoft Visual Studio 8\VC\lib
# OutputDir is the directory where the modified libcmt file should be stored.
# arch is one of: 'ia32', 'x86' or 'x64'. ia32 and x86 are synonyms.
import os
import shutil
import subprocess
import sys
def run(command):
"""Run |command|. If any lines that match an error condition then
terminate."""
error = 'cannot find member object'
popen = subprocess.Popen(
command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
out, _ = popen.communicate()
for line in out.splitlines():
print line
if error and line.find(error) != -1:
print 'prep_libc.py: Error stripping object from C runtime.'
sys.exit(1)
def main():
bindir = 'SELF_X86'
objdir = 'INTEL'
vs_install_dir = sys.argv[1]
outdir = sys.argv[2]
if "x64" in sys.argv[3]:
bindir = 'SELF_64_amd64'
objdir = 'amd64'
vs_install_dir = os.path.join(vs_install_dir, 'amd64')
output_lib = os.path.join(outdir, 'libcmt.lib')
shutil.copyfile(os.path.join(vs_install_dir, 'libcmt.lib'), output_lib)
shutil.copyfile(os.path.join(vs_install_dir, 'libcmt.pdb'),
os.path.join(outdir, 'libcmt.pdb'))
cvspath = 'f:\\binaries\\Intermediate\\vctools\\crt_bld\\' + bindir + \
'\\crt\\prebuild\\build\\' + objdir + '\\mt_obj\\nativec\\\\';
cppvspath = 'f:\\binaries\\Intermediate\\vctools\\crt_bld\\' + bindir + \
'\\crt\\prebuild\\build\\' + objdir + '\\mt_obj\\nativecpp\\\\';
cobjfiles = ['malloc', 'free', 'realloc', 'heapinit', 'calloc', 'recalloc',
'calloc_impl']
cppobjfiles = ['new', 'new2', 'delete', 'delete2', 'new_mode', 'newopnt',
'newaopnt']
for obj in cobjfiles:
cmd = ('lib /nologo /ignore:4006,4221 /remove:%s%s.obj %s' %
(cvspath, obj, output_lib))
run(cmd)
for obj in cppobjfiles:
cmd = ('lib /nologo /ignore:4006,4221 /remove:%s%s.obj %s' %
(cppvspath, obj, output_lib))
run(cmd)
if __name__ == "__main__":
sys.exit(main())
|
bsd-3-clause
|
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felliott/osf.io
|
api_tests/providers/preprints/views/test_preprint_provider_request_list.py
|
15
|
2781
|
import pytest
from api.base.settings.defaults import API_BASE
from api_tests.requests.mixins import PreprintRequestTestMixin
@pytest.mark.django_db
class TestPreprintProviderWithdrawalRequstList(PreprintRequestTestMixin):
def url(self, provider):
return '/{}providers/preprints/{}/withdraw_requests/'.format(API_BASE, provider._id)
def test_list(self, app, admin, moderator, write_contrib, noncontrib, pre_mod_provider, post_mod_provider, pre_mod_preprint, post_mod_preprint, pre_request, post_request):
# test_no_perms
res = app.get(self.url(pre_mod_provider), auth=admin.auth, expect_errors=True) # preprint admin, not reviews admin
assert res.status_code == 403
res = app.get(self.url(pre_mod_provider), auth=write_contrib.auth, expect_errors=True)
assert res.status_code == 403
res = app.get(self.url(pre_mod_provider), auth=noncontrib.auth, expect_errors=True)
assert res.status_code == 403
res = app.get(self.url(pre_mod_provider), expect_errors=True)
assert res.status_code == 401
# test_moderator_can_view
res = app.get(self.url(pre_mod_provider), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == pre_request._id
res = app.get(self.url(post_mod_provider), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == post_request._id
# test_embed
res = app.get('{}?embed=target'.format(self.url(pre_mod_provider)), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == pre_request._id
assert res.json['data'][0]['embeds']['target']['data']['id'] == pre_mod_preprint._id
res = app.get('{}?embed=target'.format(self.url(post_mod_provider)), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == post_request._id
assert res.json['data'][0]['embeds']['target']['data']['id'] == post_mod_preprint._id
# test_filter
res = app.get('{}?filter[target]={}'.format(self.url(pre_mod_provider), pre_mod_preprint._id), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == pre_request._id
res = app.get('{}?filter[target]={}'.format(self.url(post_mod_provider), post_mod_preprint._id), auth=moderator.auth)
assert res.status_code == 200
assert len(res.json['data']) == 1
assert res.json['data'][0]['id'] == post_request._id
|
apache-2.0
|
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southpaw94/MachineLearning
|
Perceptron/Iris.py
|
1
|
1993
|
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from Perceptron import Perceptron
def plotRawData():
plt.scatter(X[:50, 0], X[:50, 1], color='red', marker='o', label='setosa')
plt.scatter(X[50:100, 0], X[50:100, 1], color='blue', marker='x', label='versicolor')
plt.xlabel('petal length')
plt.ylabel('sepal length')
plt.legend(loc='upper left')
plt.show()
plt.cla()
def plotErrors():
plt.plot(range(1, len(ppn.errors_) + 1), ppn.errors_, marker='o')
plt.xlabel('Epochs')
plt.ylabel('Number of misclassifications')
plt.show()
plt.cla()
def plot_decision_regions(X, y, classifier, resolution=0.02):
# setup marker generator and color map
markers = ('s', 'x', 'o', '^', 'v')
colors=('red', 'blue', 'lightgreen', 'gray', 'cyan')
cmap = ListedColormap(colors[:len(np.unique(y))])
# plot the decision surface
x1_min, x1_max = X[:, 0].min() - 1, X[:, 0].max() + 1
x2_min, x2_max = X[:, 1].min() - 1, X[:, 1].max() + 1
xx1, xx2 = np.meshgrid(np.arange(x1_min, x1_max, resolution), np.arange(x2_min, x2_max, resolution))
Z = classifier.predict(np.array([xx1.ravel(), xx2.ravel()]).T)
Z = Z.reshape(xx1.shape)
plt.contourf(xx1, xx2, Z, alpha=0.4, cmap=cmap)
plt.xlim(xx1.min(), xx1.max())
plt.ylim(xx2.min(), xx2.max())
# plot class samples
for idx, cl in enumerate(np.unique(y)):
plt.scatter(x=X[y ==cl, 0], y=X[y == cl, 1], alpha=0.8, c=cmap(idx), marker=markers[idx], label=cl)
plt.xlabel('sepal length [cm]')
plt.ylabel('petal length [cm]')
plt.legend(loc='upper left')
df = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data', header=None)
# print(df.tail())
y = df.iloc[0:100, 4].values
y = np.where(y == 'Iris-setosa', -1, 1)
X = df.iloc[0:100, [0, 2]].values
ppn = Perceptron(eta=0.1, n_iter=10)
ppn.fit(X, y)
plot_decision_regions(X, y, ppn)
plt.cla()
|
gpl-2.0
|
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srus/django-kickstartvenv
|
boot/ipython/ipython_config.py
|
3
|
19804
|
# Configuration file for ipython.
c = get_config()
#------------------------------------------------------------------------------
# InteractiveShellApp configuration
#------------------------------------------------------------------------------
# A Mixin for applications that start InteractiveShell instances.
#
# Provides configurables for loading extensions and executing files as part of
# configuring a Shell environment.
#
# The following methods should be called by the :meth:`initialize` method of the
# subclass:
#
# - :meth:`init_path`
# - :meth:`init_shell` (to be implemented by the subclass)
# - :meth:`init_gui_pylab`
# - :meth:`init_extensions`
# - :meth:`init_code`
# Execute the given command string.
# c.InteractiveShellApp.code_to_run = ''
# Run the file referenced by the PYTHONSTARTUP environment variable at IPython
# startup.
# c.InteractiveShellApp.exec_PYTHONSTARTUP = True
# lines of code to run at IPython startup.
c.InteractiveShellApp.exec_lines = [
'from __future__ import unicode_literals, print_function, absolute_import, division'
]
# Enable GUI event loop integration with any of ('glut', 'gtk', 'gtk3', 'none',
# 'osx', 'pyglet', 'qt', 'qt4', 'tk', 'wx').
# c.InteractiveShellApp.gui = None
# Pre-load matplotlib and numpy for interactive use, selecting a particular
# matplotlib backend and loop integration.
# c.InteractiveShellApp.pylab = None
# Configure matplotlib for interactive use with the default matplotlib backend.
# c.InteractiveShellApp.matplotlib = None
# If true, IPython will populate the user namespace with numpy, pylab, etc. and
# an ``import *`` is done from numpy and pylab, when using pylab mode.
#
# When False, pylab mode should not import any names into the user namespace.
# c.InteractiveShellApp.pylab_import_all = True
# A list of dotted module names of IPython extensions to load.
# c.InteractiveShellApp.extensions = []
# Run the module as a script.
# c.InteractiveShellApp.module_to_run = ''
# Should variables loaded at startup (by startup files, exec_lines, etc.) be
# hidden from tools like %who?
# c.InteractiveShellApp.hide_initial_ns = True
# dotted module name of an IPython extension to load.
# c.InteractiveShellApp.extra_extension = ''
# List of files to run at IPython startup.
# c.InteractiveShellApp.exec_files = []
# A file to be run
# c.InteractiveShellApp.file_to_run = ''
#------------------------------------------------------------------------------
# TerminalIPythonApp configuration
#------------------------------------------------------------------------------
# TerminalIPythonApp will inherit config from: BaseIPythonApplication,
# Application, InteractiveShellApp
# Run the file referenced by the PYTHONSTARTUP environment variable at IPython
# startup.
# c.TerminalIPythonApp.exec_PYTHONSTARTUP = True
# Pre-load matplotlib and numpy for interactive use, selecting a particular
# matplotlib backend and loop integration.
# c.TerminalIPythonApp.pylab = None
# Create a massive crash report when IPython encounters what may be an internal
# error. The default is to append a short message to the usual traceback
# c.TerminalIPythonApp.verbose_crash = False
# Run the module as a script.
# c.TerminalIPythonApp.module_to_run = ''
# The date format used by logging formatters for %(asctime)s
# c.TerminalIPythonApp.log_datefmt = '%Y-%m-%d %H:%M:%S'
# Whether to overwrite existing config files when copying
# c.TerminalIPythonApp.overwrite = False
# Execute the given command string.
# c.TerminalIPythonApp.code_to_run = ''
# Set the log level by value or name.
# c.TerminalIPythonApp.log_level = 30
# lines of code to run at IPython startup.
# c.TerminalIPythonApp.exec_lines = []
# Suppress warning messages about legacy config files
# c.TerminalIPythonApp.ignore_old_config = False
# Path to an extra config file to load.
#
# If specified, load this config file in addition to any other IPython config.
# c.TerminalIPythonApp.extra_config_file = u''
# Should variables loaded at startup (by startup files, exec_lines, etc.) be
# hidden from tools like %who?
# c.TerminalIPythonApp.hide_initial_ns = True
# dotted module name of an IPython extension to load.
# c.TerminalIPythonApp.extra_extension = ''
# A file to be run
# c.TerminalIPythonApp.file_to_run = ''
# The IPython profile to use.
# c.TerminalIPythonApp.profile = u'default'
# Configure matplotlib for interactive use with the default matplotlib backend.
# c.TerminalIPythonApp.matplotlib = None
# If a command or file is given via the command-line, e.g. 'ipython foo.py',
# start an interactive shell after executing the file or command.
# c.TerminalIPythonApp.force_interact = False
# If true, IPython will populate the user namespace with numpy, pylab, etc. and
# an ``import *`` is done from numpy and pylab, when using pylab mode.
#
# When False, pylab mode should not import any names into the user namespace.
# c.TerminalIPythonApp.pylab_import_all = True
# The name of the IPython directory. This directory is used for logging
# configuration (through profiles), history storage, etc. The default is usually
# $HOME/.ipython. This options can also be specified through the environment
# variable IPYTHONDIR.
# c.TerminalIPythonApp.ipython_dir = u''
# Whether to display a banner upon starting IPython.
# c.TerminalIPythonApp.display_banner = True
# Whether to install the default config files into the profile dir. If a new
# profile is being created, and IPython contains config files for that profile,
# then they will be staged into the new directory. Otherwise, default config
# files will be automatically generated.
# c.TerminalIPythonApp.copy_config_files = False
# List of files to run at IPython startup.
# c.TerminalIPythonApp.exec_files = []
# Enable GUI event loop integration with any of ('glut', 'gtk', 'gtk3', 'none',
# 'osx', 'pyglet', 'qt', 'qt4', 'tk', 'wx').
# c.TerminalIPythonApp.gui = None
# A list of dotted module names of IPython extensions to load.
# c.TerminalIPythonApp.extensions = []
# Start IPython quickly by skipping the loading of config files.
# c.TerminalIPythonApp.quick = False
# The Logging format template
# c.TerminalIPythonApp.log_format = '[%(name)s]%(highlevel)s %(message)s'
#------------------------------------------------------------------------------
# TerminalInteractiveShell configuration
#------------------------------------------------------------------------------
# TerminalInteractiveShell will inherit config from: InteractiveShell
# auto editing of files with syntax errors.
# c.TerminalInteractiveShell.autoedit_syntax = False
# Use colors for displaying information about objects. Because this information
# is passed through a pager (like 'less'), and some pagers get confused with
# color codes, this capability can be turned off.
# c.TerminalInteractiveShell.color_info = True
# A list of ast.NodeTransformer subclass instances, which will be applied to
# user input before code is run.
# c.TerminalInteractiveShell.ast_transformers = []
#
# c.TerminalInteractiveShell.history_length = 10000
# Don't call post-execute functions that have failed in the past.
# c.TerminalInteractiveShell.disable_failing_post_execute = False
# Show rewritten input, e.g. for autocall.
# c.TerminalInteractiveShell.show_rewritten_input = True
# Set the color scheme (NoColor, Linux, or LightBG).
# c.TerminalInteractiveShell.colors = 'Linux'
# Autoindent IPython code entered interactively.
# c.TerminalInteractiveShell.autoindent = True
#
# c.TerminalInteractiveShell.separate_in = '\n'
# Deprecated, use PromptManager.in2_template
# c.TerminalInteractiveShell.prompt_in2 = ' .\\D.: '
#
# c.TerminalInteractiveShell.separate_out = ''
# Deprecated, use PromptManager.in_template
# c.TerminalInteractiveShell.prompt_in1 = 'In [\\#]: '
# Make IPython automatically call any callable object even if you didn't type
# explicit parentheses. For example, 'str 43' becomes 'str(43)' automatically.
# The value can be '0' to disable the feature, '1' for 'smart' autocall, where
# it is not applied if there are no more arguments on the line, and '2' for
# 'full' autocall, where all callable objects are automatically called (even if
# no arguments are present).
# c.TerminalInteractiveShell.autocall = 0
# Number of lines of your screen, used to control printing of very long strings.
# Strings longer than this number of lines will be sent through a pager instead
# of directly printed. The default value for this is 0, which means IPython
# will auto-detect your screen size every time it needs to print certain
# potentially long strings (this doesn't change the behavior of the 'print'
# keyword, it's only triggered internally). If for some reason this isn't
# working well (it needs curses support), specify it yourself. Otherwise don't
# change the default.
# c.TerminalInteractiveShell.screen_length = 0
# Set the editor used by IPython (default to $EDITOR/vi/notepad).
# c.TerminalInteractiveShell.editor = 'vi'
# Deprecated, use PromptManager.justify
# c.TerminalInteractiveShell.prompts_pad_left = True
# The part of the banner to be printed before the profile
# c.TerminalInteractiveShell.banner1 = 'Python 2.7.3 (default, Feb 27 2014, 19:58:35) \nType "copyright", "credits" or "license" for more information.\n\nIPython 2.2.0 -- An enhanced Interactive Python.\n? -> Introduction and overview of IPython\'s features.\n%quickref -> Quick reference.\nhelp -> Python\'s own help system.\nobject? -> Details about \'object\', use \'object??\' for extra details.\n'
#
# c.TerminalInteractiveShell.readline_parse_and_bind = ['tab: complete', '"\\C-l": clear-screen', 'set show-all-if-ambiguous on', '"\\C-o": tab-insert', '"\\C-r": reverse-search-history', '"\\C-s": forward-search-history', '"\\C-p": history-search-backward', '"\\C-n": history-search-forward', '"\\e[A": history-search-backward', '"\\e[B": history-search-forward', '"\\C-k": kill-line', '"\\C-u": unix-line-discard']
# The part of the banner to be printed after the profile
# c.TerminalInteractiveShell.banner2 = ''
#
# c.TerminalInteractiveShell.separate_out2 = ''
#
# c.TerminalInteractiveShell.wildcards_case_sensitive = True
#
# c.TerminalInteractiveShell.debug = False
# Set to confirm when you try to exit IPython with an EOF (Control-D in Unix,
# Control-Z/Enter in Windows). By typing 'exit' or 'quit', you can force a
# direct exit without any confirmation.
# c.TerminalInteractiveShell.confirm_exit = True
#
# c.TerminalInteractiveShell.ipython_dir = ''
#
# c.TerminalInteractiveShell.readline_remove_delims = '-/~'
# Start logging to the default log file.
# c.TerminalInteractiveShell.logstart = False
# The name of the logfile to use.
# c.TerminalInteractiveShell.logfile = ''
# The shell program to be used for paging.
# c.TerminalInteractiveShell.pager = 'less'
# Enable magic commands to be called without the leading %.
# c.TerminalInteractiveShell.automagic = True
# Save multi-line entries as one entry in readline history
# c.TerminalInteractiveShell.multiline_history = True
#
# c.TerminalInteractiveShell.readline_use = True
# Enable deep (recursive) reloading by default. IPython can use the deep_reload
# module which reloads changes in modules recursively (it replaces the reload()
# function, so you don't need to change anything to use it). deep_reload()
# forces a full reload of modules whose code may have changed, which the default
# reload() function does not. When deep_reload is off, IPython will use the
# normal reload(), but deep_reload will still be available as dreload().
# c.TerminalInteractiveShell.deep_reload = False
# Start logging to the given file in append mode.
# c.TerminalInteractiveShell.logappend = ''
#
# c.TerminalInteractiveShell.xmode = 'Context'
#
# c.TerminalInteractiveShell.quiet = False
# Enable auto setting the terminal title.
# c.TerminalInteractiveShell.term_title = False
#
# c.TerminalInteractiveShell.object_info_string_level = 0
# Deprecated, use PromptManager.out_template
# c.TerminalInteractiveShell.prompt_out = 'Out[\\#]: '
# Set the size of the output cache. The default is 1000, you can change it
# permanently in your config file. Setting it to 0 completely disables the
# caching system, and the minimum value accepted is 20 (if you provide a value
# less than 20, it is reset to 0 and a warning is issued). This limit is
# defined because otherwise you'll spend more time re-flushing a too small cache
# than working
# c.TerminalInteractiveShell.cache_size = 1000
# 'all', 'last', 'last_expr' or 'none', specifying which nodes should be run
# interactively (displaying output from expressions).
# c.TerminalInteractiveShell.ast_node_interactivity = 'last_expr'
# Automatically call the pdb debugger after every exception.
# c.TerminalInteractiveShell.pdb = False
#------------------------------------------------------------------------------
# PromptManager configuration
#------------------------------------------------------------------------------
# This is the primary interface for producing IPython's prompts.
# Output prompt. '\#' will be transformed to the prompt number
# c.PromptManager.out_template = 'Out[\\#]: '
# Continuation prompt.
# c.PromptManager.in2_template = ' .\\D.: '
# If True (default), each prompt will be right-aligned with the preceding one.
# c.PromptManager.justify = True
# Input prompt. '\#' will be transformed to the prompt number
# c.PromptManager.in_template = 'In [\\#]: '
#
# c.PromptManager.color_scheme = 'Linux'
#------------------------------------------------------------------------------
# HistoryManager configuration
#------------------------------------------------------------------------------
# A class to organize all history-related functionality in one place.
# HistoryManager will inherit config from: HistoryAccessor
# Should the history database include output? (default: no)
# c.HistoryManager.db_log_output = False
# Write to database every x commands (higher values save disk access & power).
# Values of 1 or less effectively disable caching.
# c.HistoryManager.db_cache_size = 0
# Path to file to use for SQLite history database.
#
# By default, IPython will put the history database in the IPython profile
# directory. If you would rather share one history among profiles, you can set
# this value in each, so that they are consistent.
#
# Due to an issue with fcntl, SQLite is known to misbehave on some NFS mounts.
# If you see IPython hanging, try setting this to something on a local disk,
# e.g::
#
# ipython --HistoryManager.hist_file=/tmp/ipython_hist.sqlite
# c.HistoryManager.hist_file = u''
# Options for configuring the SQLite connection
#
# These options are passed as keyword args to sqlite3.connect when establishing
# database conenctions.
# c.HistoryManager.connection_options = {}
# enable the SQLite history
#
# set enabled=False to disable the SQLite history, in which case there will be
# no stored history, no SQLite connection, and no background saving thread.
# This may be necessary in some threaded environments where IPython is embedded.
# c.HistoryManager.enabled = True
#------------------------------------------------------------------------------
# ProfileDir configuration
#------------------------------------------------------------------------------
# An object to manage the profile directory and its resources.
#
# The profile directory is used by all IPython applications, to manage
# configuration, logging and security.
#
# This object knows how to find, create and manage these directories. This
# should be used by any code that wants to handle profiles.
# Set the profile location directly. This overrides the logic used by the
# `profile` option.
# c.ProfileDir.location = u''
#------------------------------------------------------------------------------
# PlainTextFormatter configuration
#------------------------------------------------------------------------------
# The default pretty-printer.
#
# This uses :mod:`IPython.lib.pretty` to compute the format data of the object.
# If the object cannot be pretty printed, :func:`repr` is used. See the
# documentation of :mod:`IPython.lib.pretty` for details on how to write pretty
# printers. Here is a simple example::
#
# def dtype_pprinter(obj, p, cycle):
# if cycle:
# return p.text('dtype(...)')
# if hasattr(obj, 'fields'):
# if obj.fields is None:
# p.text(repr(obj))
# else:
# p.begin_group(7, 'dtype([')
# for i, field in enumerate(obj.descr):
# if i > 0:
# p.text(',')
# p.breakable()
# p.pretty(field)
# p.end_group(7, '])')
# PlainTextFormatter will inherit config from: BaseFormatter
#
# c.PlainTextFormatter.type_printers = {}
#
# c.PlainTextFormatter.newline = '\n'
#
# c.PlainTextFormatter.float_precision = ''
#
# c.PlainTextFormatter.verbose = False
#
# c.PlainTextFormatter.deferred_printers = {}
#
# c.PlainTextFormatter.pprint = True
#
# c.PlainTextFormatter.max_width = 79
#
# c.PlainTextFormatter.singleton_printers = {}
#------------------------------------------------------------------------------
# IPCompleter configuration
#------------------------------------------------------------------------------
# Extension of the completer class with IPython-specific features
# IPCompleter will inherit config from: Completer
# Instruct the completer to omit private method names
#
# Specifically, when completing on ``object.<tab>``.
#
# When 2 [default]: all names that start with '_' will be excluded.
#
# When 1: all 'magic' names (``__foo__``) will be excluded.
#
# When 0: nothing will be excluded.
# c.IPCompleter.omit__names = 2
# Whether to merge completion results into a single list
#
# If False, only the completion results from the first non-empty completer will
# be returned.
# c.IPCompleter.merge_completions = True
# Instruct the completer to use __all__ for the completion
#
# Specifically, when completing on ``object.<tab>``.
#
# When True: only those names in obj.__all__ will be included.
#
# When False [default]: the __all__ attribute is ignored
# c.IPCompleter.limit_to__all__ = False
# Activate greedy completion
#
# This will enable completion on elements of lists, results of function calls,
# etc., but can be unsafe because the code is actually evaluated on TAB.
# c.IPCompleter.greedy = False
#------------------------------------------------------------------------------
# ScriptMagics configuration
#------------------------------------------------------------------------------
# Magics for talking to scripts
#
# This defines a base `%%script` cell magic for running a cell with a program in
# a subprocess, and registers a few top-level magics that call %%script with
# common interpreters.
# Extra script cell magics to define
#
# This generates simple wrappers of `%%script foo` as `%%foo`.
#
# If you want to add script magics that aren't on your path, specify them in
# script_paths
# c.ScriptMagics.script_magics = []
# Dict mapping short 'ruby' names to full paths, such as '/opt/secret/bin/ruby'
#
# Only necessary for items in script_magics where the default path will not find
# the right interpreter.
# c.ScriptMagics.script_paths = {}
#------------------------------------------------------------------------------
# StoreMagics configuration
#------------------------------------------------------------------------------
# Lightweight persistence for python variables.
#
# Provides the %store magic.
# If True, any %store-d variables will be automatically restored when IPython
# starts.
# c.StoreMagics.autorestore = False
|
mit
|
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Serag8/Bachelor
|
google_appengine/lib/django-1.2/django/contrib/gis/gdal/prototypes/ds.py
|
311
|
4244
|
"""
This module houses the ctypes function prototypes for OGR DataSource
related data structures. OGR_Dr_*, OGR_DS_*, OGR_L_*, OGR_F_*,
OGR_Fld_* routines are relevant here.
"""
from ctypes import c_char_p, c_double, c_int, c_long, c_void_p, POINTER
from django.contrib.gis.gdal.envelope import OGREnvelope
from django.contrib.gis.gdal.libgdal import lgdal
from django.contrib.gis.gdal.prototypes.generation import \
const_string_output, double_output, geom_output, int_output, \
srs_output, void_output, voidptr_output
c_int_p = POINTER(c_int) # shortcut type
### Driver Routines ###
register_all = void_output(lgdal.OGRRegisterAll, [], errcheck=False)
cleanup_all = void_output(lgdal.OGRCleanupAll, [], errcheck=False)
get_driver = voidptr_output(lgdal.OGRGetDriver, [c_int])
get_driver_by_name = voidptr_output(lgdal.OGRGetDriverByName, [c_char_p])
get_driver_count = int_output(lgdal.OGRGetDriverCount, [])
get_driver_name = const_string_output(lgdal.OGR_Dr_GetName, [c_void_p])
### DataSource ###
open_ds = voidptr_output(lgdal.OGROpen, [c_char_p, c_int, POINTER(c_void_p)])
destroy_ds = void_output(lgdal.OGR_DS_Destroy, [c_void_p], errcheck=False)
release_ds = void_output(lgdal.OGRReleaseDataSource, [c_void_p])
get_ds_name = const_string_output(lgdal.OGR_DS_GetName, [c_void_p])
get_layer = voidptr_output(lgdal.OGR_DS_GetLayer, [c_void_p, c_int])
get_layer_by_name = voidptr_output(lgdal.OGR_DS_GetLayerByName, [c_void_p, c_char_p])
get_layer_count = int_output(lgdal.OGR_DS_GetLayerCount, [c_void_p])
### Layer Routines ###
get_extent = void_output(lgdal.OGR_L_GetExtent, [c_void_p, POINTER(OGREnvelope), c_int])
get_feature = voidptr_output(lgdal.OGR_L_GetFeature, [c_void_p, c_long])
get_feature_count = int_output(lgdal.OGR_L_GetFeatureCount, [c_void_p, c_int])
get_layer_defn = voidptr_output(lgdal.OGR_L_GetLayerDefn, [c_void_p])
get_layer_srs = srs_output(lgdal.OGR_L_GetSpatialRef, [c_void_p])
get_next_feature = voidptr_output(lgdal.OGR_L_GetNextFeature, [c_void_p])
reset_reading = void_output(lgdal.OGR_L_ResetReading, [c_void_p], errcheck=False)
test_capability = int_output(lgdal.OGR_L_TestCapability, [c_void_p, c_char_p])
get_spatial_filter = geom_output(lgdal.OGR_L_GetSpatialFilter, [c_void_p])
set_spatial_filter = void_output(lgdal.OGR_L_SetSpatialFilter, [c_void_p, c_void_p], errcheck=False)
set_spatial_filter_rect = void_output(lgdal.OGR_L_SetSpatialFilterRect, [c_void_p, c_double, c_double, c_double, c_double], errcheck=False)
### Feature Definition Routines ###
get_fd_geom_type = int_output(lgdal.OGR_FD_GetGeomType, [c_void_p])
get_fd_name = const_string_output(lgdal.OGR_FD_GetName, [c_void_p])
get_feat_name = const_string_output(lgdal.OGR_FD_GetName, [c_void_p])
get_field_count = int_output(lgdal.OGR_FD_GetFieldCount, [c_void_p])
get_field_defn = voidptr_output(lgdal.OGR_FD_GetFieldDefn, [c_void_p, c_int])
### Feature Routines ###
clone_feature = voidptr_output(lgdal.OGR_F_Clone, [c_void_p])
destroy_feature = void_output(lgdal.OGR_F_Destroy, [c_void_p], errcheck=False)
feature_equal = int_output(lgdal.OGR_F_Equal, [c_void_p, c_void_p])
get_feat_geom_ref = geom_output(lgdal.OGR_F_GetGeometryRef, [c_void_p])
get_feat_field_count = int_output(lgdal.OGR_F_GetFieldCount, [c_void_p])
get_feat_field_defn = voidptr_output(lgdal.OGR_F_GetFieldDefnRef, [c_void_p, c_int])
get_fid = int_output(lgdal.OGR_F_GetFID, [c_void_p])
get_field_as_datetime = int_output(lgdal.OGR_F_GetFieldAsDateTime, [c_void_p, c_int, c_int_p, c_int_p, c_int_p, c_int_p, c_int_p, c_int_p])
get_field_as_double = double_output(lgdal.OGR_F_GetFieldAsDouble, [c_void_p, c_int])
get_field_as_integer = int_output(lgdal.OGR_F_GetFieldAsInteger, [c_void_p, c_int])
get_field_as_string = const_string_output(lgdal.OGR_F_GetFieldAsString, [c_void_p, c_int])
get_field_index = int_output(lgdal.OGR_F_GetFieldIndex, [c_void_p, c_char_p])
### Field Routines ###
get_field_name = const_string_output(lgdal.OGR_Fld_GetNameRef, [c_void_p])
get_field_precision = int_output(lgdal.OGR_Fld_GetPrecision, [c_void_p])
get_field_type = int_output(lgdal.OGR_Fld_GetType, [c_void_p])
get_field_type_name = const_string_output(lgdal.OGR_GetFieldTypeName, [c_int])
get_field_width = int_output(lgdal.OGR_Fld_GetWidth, [c_void_p])
|
mit
|
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peak6/st2
|
st2reactor/st2reactor/rules/datatransform.py
|
2
|
2532
|
# Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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 copy
from st2common.constants.keyvalue import SYSTEM_SCOPE, FULL_SYSTEM_SCOPE, DATASTORE_PARENT_SCOPE
from st2common.constants.rules import TRIGGER_PAYLOAD_PREFIX
from st2common.services.keyvalues import KeyValueLookup
from st2common.util import jinja as jinja_utils
class Jinja2BasedTransformer(object):
def __init__(self, payload):
self._payload_context = Jinja2BasedTransformer.\
_construct_context(TRIGGER_PAYLOAD_PREFIX, payload, {})
def __call__(self, mapping):
context = copy.copy(self._payload_context)
context[SYSTEM_SCOPE] = KeyValueLookup(scope=SYSTEM_SCOPE)
context.update({
DATASTORE_PARENT_SCOPE: {
SYSTEM_SCOPE: KeyValueLookup(scope=FULL_SYSTEM_SCOPE)
}
})
return jinja_utils.render_values(mapping=mapping, context=context)
@staticmethod
def _construct_context(prefix, data, context):
if data is None:
return context
context = context or {}
context[SYSTEM_SCOPE] = KeyValueLookup(scope=SYSTEM_SCOPE)
context.update({
DATASTORE_PARENT_SCOPE: {
SYSTEM_SCOPE: KeyValueLookup(scope=FULL_SYSTEM_SCOPE)
}
})
# add in the data in the context without any processing. Payload may
# contain renderable keys however those are often due to nature of the
# events being posted e.g. ActionTrigger with template variables. Rendering
# these values would lead to bugs in the data so best to avoid.
if prefix not in context:
context[prefix] = {}
context[prefix].update(data)
return context
def get_transformer(payload):
return Jinja2BasedTransformer(payload)
|
apache-2.0
|
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andela-bojengwa/pleft
|
plapp/views.py
|
6
|
13418
|
# Copyright 2009, 2010 Sander Dijkhuis <sander.dijkhuis@gmail.com>
#
# This file is part of Pleft.
#
# Pleft is free software: you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Pleft is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Pleft. If not, see <http://www.gnu.org/licenses/>.
import datetime
import email.utils
from django.core.cache import cache
from django.core import exceptions
from django import http
from django.shortcuts import render_to_response
from django.template.context import RequestContext
from django.template.loader import render_to_string
from django.utils import dateformat
from django.utils import html
from django.utils import simplejson
from django.utils.translation import ugettext as _
from django.views.decorators.cache import never_cache
import plauth
import plauth.models
import plapp
from plapp import forms
from plapp import models
def _get_appointment_or_404(request):
if request.method == 'POST':
params = request.POST
else:
params = request.GET
if not 'id' in params:
raise http.Http404
appointment = models.Appointment.objects.all().get(id=int(params['id']))
if not appointment or not appointment.visible:
raise http.Http404
user = plauth.models.User.get_signed_in(request)
if not user:
raise exceptions.PermissionDenied
invitee = models.Invitee.objects.all().get(appointment=appointment, user=user)
if not invitee:
raise http.Http404
return (appointment, user, invitee)
def create(request):
form = forms.AppointmentForm(request.POST)
if form.is_valid():
# Create the appointment
user = plauth.models.User.get_or_create(form.cleaned_data['email'])
appointment = models.Appointment(initiator=user)
appointment.description = form.cleaned_data['description']
appointment.propose_more = form.cleaned_data['propose_more']
signed_in = plauth.models.User.get_signed_in(request)
if signed_in:
if signed_in == user:
validate = False
appointment.visible = True
else:
plauth.models.User.sign_out(request)
validate = True
appointment.visible = False
else:
validate = True
appointment.visible = False
appointment.save()
owner = models.Invitee(user=user, appointment=appointment)
owner.name = form.cleaned_data['name']
owner.save()
for invitee in form.cleaned_data['invitees']:
iuser = plauth.models.User.get_or_create(invitee[1])
inv = models.Invitee.get_or_create(iuser, appointment)
inv.name = invitee[0]
inv.save()
if form.cleaned_data['dates'][0] != '':
for input in form.cleaned_data['dates']:
date = models.Date(appointment=appointment)
date.date_time = datetime.datetime.strptime(input,
'%Y-%m-%dT%H:%M:%S')
date.invitee = owner
date.save()
avail = models.Availability()
avail.date = date
avail.invitee = owner
avail.possible = 1
avail.save()
if validate == True:
plapp.send_mail(
subject='%s: %s' % (_('Verification'), appointment.get_title()),
template='plapp/mail/verification.txt',
address=user.email,
name=owner.get_name(),
title=appointment.get_title(),
url=appointment.get_url(user.email, user.password, True))
else:
appointment.send_overview_mail(request)
appointment.send_invitations(request)
return http.HttpResponse(appointment.get_url())
return http.HttpResponse()
else:
raise http.Http404
def appointment(request):
if 'id' in request.GET:
return http.HttpResponsePermanentRedirect('/a#id=%s'
% request.GET['id'])
user = plauth.models.User.get_signed_in(request)
if not user:
return render_to_response('plauth/not-signed-in.html',
context_instance=RequestContext(request))
return render_to_response('plapp/appointment.html',
context_instance=RequestContext(request))
@never_cache
def appointment_data(request):
appointment, user, invitee = _get_appointment_or_404(request)
user_id = user.id
invitee_id = invitee.id
appt_id = appointment.id
data = {'user': user_id, 'invitee': invitee_id}
metadata_key = plapp.get_cache_key('metadata', appointment=appt_id)
metadata = cache.get(metadata_key)
if not metadata:
appt = appointment
metadata = appt.get_metadata()
cache.set(metadata_key, metadata)
data['meta'] = metadata
invitees_key = plapp.get_cache_key('invitees', appointment=appt_id)
invitees = cache.get(invitees_key)
if not invitees:
instances = appointment.invitee_set.all()
invitees = [{'name': i.get_name(), 'id': i.id}
for i in instances]
cache.set(invitees_key, invitees)
data['people'] = invitees
if metadata['initiator'] == user_id:
addresses_key = plapp.get_cache_key('addresses', appointment=appt_id)
addresses = cache.get(addresses_key)
if not addresses:
instances = appointment.invitee_set.all()
addresses = {}
for i in instances:
if i.user.id == user_id:
continue
addresses[i.id] = i.user.email
cache.set(addresses_key, addresses)
data['addresses'] = addresses
dates_key = plapp.get_cache_key('dates', appointment=appt_id)
dates = cache.get(dates_key)
if not dates:
def _local_short_date(date):
return dateformat.format(date, _('D M d, G:i'))
instances = appointment.date_set.order_by('date_time').all()
dates = []
for d in instances:
dates.append({'id': d.id, 's': _local_short_date(d.date_time), 'd': d.date_time.strftime('%Y-%m-%dT%H:%M:%S')})
cache.set(dates_key, dates)
data['dates'] = dates
availability = {}
for invitee in invitees:
avail_key = plapp.get_cache_key('availability', appointment=appt_id,
invitee=invitee['id'])
avail = cache.get(avail_key)
if not avail:
invitee_instance = plapp.models.Invitee.objects.all().get(id=int(invitee['id']))
instances = invitee_instance.availability_set.all()
avail = {}
for a in instances:
avail[a.date.id] = [a.possible, a.comment]
cache.set(avail_key, avail)
availability[invitee['id']] = avail
data['availability'] = availability
s = simplejson.dumps(data, separators=(',', ':'))
return http.HttpResponse(s, mimetype='application/javascript')
def appointment_list(request):
user = plauth.models.User.get_signed_in(request)
inviteeships = models.Invitee.objects.all(). \
filter(user=user, appointment__visible=True).order_by('-id')
return render_to_response('plapp/list.html',
{ 'inviteeships': inviteeships, },
context_instance=RequestContext(request))
@never_cache
def appointment_menu(request):
user = plauth.models.User.get_signed_in(request)
if not user:
raise exceptions.PermissionDenied
memkey = plapp.get_menu_cache_key(user)
data = cache.get(memkey)
if not data:
appts = plapp.models.Appointment.get_unarchived_for_user(user)
data = ','.join(['[%s,"%s"]' % (app.id, html.escape(app.get_title()))
for app in appts])
data = '[%s]' % data
cache.set(memkey, data, 60*60*24*7)
return http.HttpResponse('{"a":%s}' % data, mimetype='application/javascript')
def archive(request):
appointment, user, invitee = _get_appointment_or_404(request)
invitee.archived = not 'undo' in request.GET
invitee.save()
plapp.clear_menu_cache(user)
return http.HttpResponseRedirect('/appointments')
def verify(request):
import logging
if not 'id' in request.GET:
raise http.Http404
appointment = models.Appointment.objects.all().get(id=int(request.GET['id']))
if not appointment:
raise http.Http404
user = plauth.models.User.get_signed_in(request)
if not user:
raise http.Http404
if appointment.initiator != user:
return http.Http404
if not appointment.visible:
appointment.visible = True
appointment.save()
appointment.send_overview_mail(request)
appointment.send_invitations(request)
return http.HttpResponseRedirect(appointment.get_url())
def resend_invitation(request):
appointment = models.Appointment.objects.all().get(id=int(request.POST['id']))
user = plauth.models.User.get_signed_in(request)
if (not user or
not appointment or
not appointment.visible or
appointment.initiator != user):
raise http.Http404
invitee = models.Invitee.objects.all().get(id=int(request.POST['invitee']))
if invitee.appointment != appointment:
raise http.Http404
initiator = models.Invitee.objects.all().get(user=user,
appointment=appointment)
appointment.send_invitation(invitee, initiator, request)
return http.HttpResponse()
def add_invitees(request):
appointment = models.Appointment.objects.all().get(id=int(request.POST['id']))
user = plauth.models.User.get_signed_in(request)
if (not user or
not appointment or
not appointment.visible or
appointment.initiator != user):
raise http.Http404
name, address = email.utils.getaddresses([request.POST['a']])[0]
iuser = plauth.models.User.get_or_create(address)
inv = models.Invitee.get_or_create(iuser, appointment)
inv.name = name
inv.save()
initiator = models.Invitee.objects.all().get(user=appointment.initiator,
appointment=appointment)
appointment.send_invitation(inv, initiator, request)
invitees_key = plapp.get_cache_key('invitees', appointment=appointment.id)
invitees = cache.get(invitees_key)
if invitees:
cache.delete(invitees_key)
"""
invitees.append({'name': inv.get_name(), 'id': inv.id})
cache.set(invitees_key, invitees)
"""
addresses_key = plapp.get_cache_key('addresses', appointment=appointment.id)
addresses = cache.get(addresses_key)
if addresses:
cache.delete(addresses_key)
"""
addresses[inv.id] = inv.user.email
cache.set(addresses_key, addresses)
"""
return http.HttpResponse()
def add_dates(request):
appointment, user, invitee = _get_appointment_or_404(request)
if (appointment.initiator != user and
not appointment.propose_more):
raise http.Http404
date = models.Date(appointment=appointment)
date.date_time = datetime.datetime.strptime(request.POST['d'],
'%Y-%m-%dT%H:%M:%S')
date.invitee = invitee
date.save()
avail = models.Availability()
avail.date = date
avail.invitee = invitee
avail.possible = 1
avail.save()
# Remove dates from cache. Would be nicer to add the current date, but that would need re-ordering.
dates_key = plapp.get_cache_key('dates', appointment=appointment.id)
cache.set(dates_key, None)
availability_key = plapp.get_cache_key('availability', appointment=appointment.id, invitee=invitee.id)
availability = cache.get(availability_key)
if availability:
availability[date.id] = [1, '']
cache.set(availability_key, availability)
return http.HttpResponse()
def set_availability(request):
appointment, user, invitee = _get_appointment_or_404(request)
key = plapp.get_cache_key('availability', appointment=appointment.id, invitee=invitee.id)
cached = cache.get(key)
i = 0
for line in request.POST['a'].splitlines():
[datestring, possible, comment] = line.split(':', 2)
date = models.Date.objects.all().get(id=int(datestring))
i += 1
try:
avail = models.Availability.objects.all().get(date=date, invitee=invitee)
except exceptions.ObjectDoesNotExist:
avail = models.Availability(date=date, invitee=invitee)
avail.possible = int(possible)
avail.comment = comment
avail.save()
if cached:
cached[date.id] = [int(possible), comment]
if cached:
cache.set(key, cached)
return http.HttpResponse()
|
gpl-3.0
|
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fhartwig/adhocracy3.mercator
|
src/adhocracy_core/adhocracy_core/test_interfaces.py
|
4
|
2797
|
import unittest
from adhocracy_core.interfaces import ISheet
class SheetToSheetUnitTests(unittest.TestCase):
def test_create_valid(self):
from adhocracy_core.interfaces import SheetToSheet as Reference
# substanced standard tagged values
assert Reference.getTaggedValue('source_integrity') is False
assert Reference.getTaggedValue('target_integrity') is False
assert Reference.getTaggedValue('source_ordered') is False
assert Reference.getTaggedValue('target_ordered') is False
# extra tagged values
assert Reference.getTaggedValue('source_isheet') is ISheet
assert Reference.getTaggedValue('source_isheet_field') == u''
assert Reference.getTaggedValue('target_isheet') is ISheet
def test_create_valid_custom_values(self):
from adhocracy_core.interfaces import SheetToSheet
from adhocracy_core.interfaces import ISheet
class IA(ISheet):
pass
class Reference(SheetToSheet):
source_integrity = True
target_integrity = True
target_ordered = True
source_ordered = True
source_isheet = IA
source_isheet_field = u''
target_isheet = IA
# substanced standard tagged values
assert Reference.getTaggedValue('source_integrity')
assert Reference.getTaggedValue('target_integrity')
assert Reference.getTaggedValue('source_ordered')
assert Reference.getTaggedValue('target_ordered')
# extra tagged values
assert Reference.getTaggedValue('source_isheet') is IA
assert Reference.getTaggedValue('source_isheet_field') == u''
assert Reference.getTaggedValue('target_isheet') is IA
class TestNamedTuple:
class ISample:
pass
class ISampleSheetA:
pass
class ISampleSheetB:
pass
def call_fut(self, typename, field_names, verbose=False, rename=False):
from .interfaces import namedtuple
return namedtuple(typename, field_names, verbose, rename)
def make_one(self):
meta_class = self.call_fut('ResourceMetadata', ['extended_sheets',
'after_creation'])
meta = meta_class(extended_sheets=(self.ISampleSheetA,),
after_creation=())
return meta
def test_namedtuple(self):
def after_creation_sample(self):
pass
meta = self.make_one()
new_meta = meta._add(extended_sheets=(self.ISampleSheetB,),
after_creation=(after_creation_sample,))
assert new_meta.extended_sheets == (self.ISampleSheetA, self.ISampleSheetB)
assert new_meta.after_creation == (after_creation_sample,)
|
agpl-3.0
|
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kangkot/arangodb
|
3rdParty/V8-4.3.61/third_party/python_26/Lib/distutils/tests/test_sdist.py
|
47
|
4905
|
"""Tests for distutils.command.sdist."""
import os
import unittest
import shutil
import zipfile
from os.path import join
import sys
from distutils.command.sdist import sdist
from distutils.core import Distribution
from distutils.tests.test_config import PyPIRCCommandTestCase
from distutils.errors import DistutilsExecError
from distutils.spawn import find_executable
CURDIR = os.path.dirname(__file__)
TEMP_PKG = join(CURDIR, 'temppkg')
SETUP_PY = """
from distutils.core import setup
import somecode
setup(name='fake')
"""
MANIFEST_IN = """
recursive-include somecode *
"""
class sdistTestCase(PyPIRCCommandTestCase):
def setUp(self):
PyPIRCCommandTestCase.setUp(self)
self.old_path = os.getcwd()
def tearDown(self):
os.chdir(self.old_path)
if os.path.exists(TEMP_PKG):
shutil.rmtree(TEMP_PKG)
PyPIRCCommandTestCase.tearDown(self)
def _init_tmp_pkg(self):
if os.path.exists(TEMP_PKG):
shutil.rmtree(TEMP_PKG)
os.mkdir(TEMP_PKG)
os.mkdir(join(TEMP_PKG, 'somecode'))
os.mkdir(join(TEMP_PKG, 'dist'))
# creating a MANIFEST, a package, and a README
self._write(join(TEMP_PKG, 'MANIFEST.in'), MANIFEST_IN)
self._write(join(TEMP_PKG, 'README'), 'xxx')
self._write(join(TEMP_PKG, 'somecode', '__init__.py'), '#')
self._write(join(TEMP_PKG, 'setup.py'), SETUP_PY)
os.chdir(TEMP_PKG)
def _write(self, path, content):
f = open(path, 'w')
try:
f.write(content)
finally:
f.close()
def test_prune_file_list(self):
# this test creates a package with some vcs dirs in it
# and launch sdist to make sure they get pruned
# on all systems
self._init_tmp_pkg()
# creating VCS directories with some files in them
os.mkdir(join(TEMP_PKG, 'somecode', '.svn'))
self._write(join(TEMP_PKG, 'somecode', '.svn', 'ok.py'), 'xxx')
os.mkdir(join(TEMP_PKG, 'somecode', '.hg'))
self._write(join(TEMP_PKG, 'somecode', '.hg',
'ok'), 'xxx')
os.mkdir(join(TEMP_PKG, 'somecode', '.git'))
self._write(join(TEMP_PKG, 'somecode', '.git',
'ok'), 'xxx')
# now building a sdist
dist = Distribution()
dist.script_name = 'setup.py'
dist.metadata.name = 'fake'
dist.metadata.version = '1.0'
dist.metadata.url = 'http://xxx'
dist.metadata.author = dist.metadata.author_email = 'xxx'
dist.packages = ['somecode']
dist.include_package_data = True
cmd = sdist(dist)
cmd.manifest = 'MANIFEST'
cmd.template = 'MANIFEST.in'
cmd.dist_dir = 'dist'
# zip is available universally
# (tar might not be installed under win32)
cmd.formats = ['zip']
cmd.run()
# now let's check what we have
dist_folder = join(TEMP_PKG, 'dist')
files = os.listdir(dist_folder)
self.assertEquals(files, ['fake-1.0.zip'])
zip_file = zipfile.ZipFile(join(dist_folder, 'fake-1.0.zip'))
try:
content = zip_file.namelist()
finally:
zip_file.close()
# making sure everything has been pruned correctly
self.assertEquals(len(content), 4)
def test_make_distribution(self):
# check if tar and gzip are installed
if (find_executable('tar') is None or
find_executable('gzip') is None):
return
self._init_tmp_pkg()
# now building a sdist
dist = Distribution()
dist.script_name = 'setup.py'
dist.metadata.name = 'fake'
dist.metadata.version = '1.0'
dist.metadata.url = 'http://xxx'
dist.metadata.author = dist.metadata.author_email = 'xxx'
dist.packages = ['somecode']
dist.include_package_data = True
cmd = sdist(dist)
cmd.manifest = 'MANIFEST'
cmd.template = 'MANIFEST.in'
cmd.dist_dir = 'dist'
# creating a gztar then a tar
cmd.formats = ['gztar', 'tar']
cmd.run()
# making sure we have two files
dist_folder = join(TEMP_PKG, 'dist')
result = os.listdir(dist_folder)
result.sort()
self.assertEquals(result,
['fake-1.0.tar', 'fake-1.0.tar.gz'] )
os.remove(join(dist_folder, 'fake-1.0.tar'))
os.remove(join(dist_folder, 'fake-1.0.tar.gz'))
# now trying a tar then a gztar
cmd.formats = ['tar', 'gztar']
cmd.run()
result = os.listdir(dist_folder)
result.sort()
self.assertEquals(result,
['fake-1.0.tar', 'fake-1.0.tar.gz'])
def test_suite():
return unittest.makeSuite(sdistTestCase)
if __name__ == "__main__":
unittest.main(defaultTest="test_suite")
|
apache-2.0
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Shenmolu/rosalind
|
sample.py
|
1
|
3913
|
def LCSBACKTRACK(v, w,u):
global score
m=len(v)+1
n=len(w)+1
l=len(u)+1
Backtrack=[[[0 for x in range(l)]for y in range(m)]for z in range(n)]
s=[[[0 for x in range(l)]for y in range(m)]for z in range(n)]
for i in range(n):
s[i][0][0]= -i
Backtrack[i][0][0] = 0
for i in range(m):
s[0][i][0] = -i
Backtrack[0][i][0] = 1
for i in range(l):
s[0][0][i]= -i
Backtrack[0][0][i] = 2
for k in range(1, len(u)+1):
for i in range(1,len(w) + 1):
for j in range(1,len(v) + 1):
if(u[k-1]==v[j-1])and(v[j-1]==w[i-1]):
f=1
else:
f=0
s[i][j][k] = max(s[i-1][j][k], s[i][j-1][k], s[i][j][k-1],s[i-1][j-1][k],s[i-1][j][k-1],
s[i][j-1][k-1],s[i-1][j-1][k-1] + f)
if s[i][j][k] == s[i-1][j][k]:
Backtrack[i][j][k] = 0
if s[i][j][k] == s[i][j-1][k]:
Backtrack[i][j][k] = 1
if s[i][j][k] == s[i][j][k-1]:
Backtrack[i][j][k] = 2
if s[i][j][k] == s[i-1][j-1][k]:
Backtrack[i][j][k] = 3
if s[i][j][k] == s[i-1][j][k-1]:
Backtrack[i][j][k] = 4
if s[i][j][k] == s[i][j-1][k-1]:
Backtrack[i][j][k] = 5
if s[i][j][k] == s[i-1][j-1][k-1] + f:
Backtrack[i][j][k] = 6
fout.write(str(s[len(w)][len(v)][len(u)])+'\n')
print(s)
print(Backtrack)
return(Backtrack)
def OUTPUTAligm(Backtrack, j, i, k):
ans1 = ""
ans2 = ""
ans3 = ''
while((i!=0)and(j!=0)and(k!=0)):
if Backtrack[i][j][k] == 0:
ans1 = ans1 + '-'
ans2 = ans2 + str(w[i-1])
ans3 = ans3 + '-'
i -= 1
else:
if Backtrack[i][j][k] == 1:
ans1 = ans1 + str(v[j-1])
ans2 = ans2 + '-'
ans3 = ans3 + '-'
j -= 1
else:
if Backtrack[i][j][k] == 2:
ans1 = ans1 + '-'
ans2 = ans2 + '-'
ans3 = ans3 + str(u[k-1])
k -= 1
else:
if Backtrack[i][j][k] == 4:
ans1 = ans1 + '-'
ans2 = ans2 + str(w[i-1])
ans3 = ans3 + str(u[k-1])
k -= 1
i -= 1
else:
if Backtrack[i][j][k] == 3:
ans1 = ans1 + str(v[j-1])
ans2 = ans2 + str(w[i-1])
ans3 = ans3 + '-'
j -= 1
i -= 1
else:
if Backtrack[i][j][k] == 5:
ans1 = ans1 + str(v[j-1])
ans2 = ans2 + '-'
ans3 = ans3 + str(u[k-1])
j -= 1
k -= 1
else:
if Backtrack[i][j][k] == 6:
ans1 = ans1 + str(v[j-1])
ans2 = ans2 + str(w[i-1])
ans3 = ans3 + str(u[k-1])
j -= 1
k -= 1
i -= 1
fout.write(ans1[::-1]+'\n')
fout.write(ans2[::-1]+'\n')
fout.write(ans3[::-1])
fin = open('data.txt', 'r')
fout=open('a.txt', 'w')
v=fin.readline().replace('\n','')
w=fin.readline().replace('\n','')
u=fin.readline().replace('\n','')
b=LCSBACKTRACK(v,w,u)
OUTPUTAligm(b,len(v),len(w),len(u))
|
gpl-3.0
|
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] |
lcostantino/healing-os
|
healing/openstack/common/db/sqlalchemy/test_migrations.py
|
1
|
11081
|
# Copyright 2010-2011 OpenStack Foundation
# Copyright 2012-2013 IBM Corp.
# All Rights Reserved.
#
# 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 functools
import logging
import os
import subprocess
import lockfile
from oslotest import base as test_base
from six import moves
from six.moves.urllib import parse
import sqlalchemy
import sqlalchemy.exc
from healing.openstack.common.db.sqlalchemy import utils
from healing.openstack.common.gettextutils import _LE
LOG = logging.getLogger(__name__)
def _have_mysql(user, passwd, database):
present = os.environ.get('TEST_MYSQL_PRESENT')
if present is None:
return utils.is_backend_avail(backend='mysql',
user=user,
passwd=passwd,
database=database)
return present.lower() in ('', 'true')
def _have_postgresql(user, passwd, database):
present = os.environ.get('TEST_POSTGRESQL_PRESENT')
if present is None:
return utils.is_backend_avail(backend='postgres',
user=user,
passwd=passwd,
database=database)
return present.lower() in ('', 'true')
def _set_db_lock(lock_path=None, lock_prefix=None):
def decorator(f):
@functools.wraps(f)
def wrapper(*args, **kwargs):
try:
path = lock_path or os.environ.get("HEALING_LOCK_PATH")
lock = lockfile.FileLock(os.path.join(path, lock_prefix))
with lock:
LOG.debug('Got lock "%s"' % f.__name__)
return f(*args, **kwargs)
finally:
LOG.debug('Lock released "%s"' % f.__name__)
return wrapper
return decorator
class BaseMigrationTestCase(test_base.BaseTestCase):
"""Base class fort testing of migration utils."""
def __init__(self, *args, **kwargs):
super(BaseMigrationTestCase, self).__init__(*args, **kwargs)
self.DEFAULT_CONFIG_FILE = os.path.join(os.path.dirname(__file__),
'test_migrations.conf')
# Test machines can set the TEST_MIGRATIONS_CONF variable
# to override the location of the config file for migration testing
self.CONFIG_FILE_PATH = os.environ.get('TEST_MIGRATIONS_CONF',
self.DEFAULT_CONFIG_FILE)
self.test_databases = {}
self.migration_api = None
def setUp(self):
super(BaseMigrationTestCase, self).setUp()
# Load test databases from the config file. Only do this
# once. No need to re-run this on each test...
LOG.debug('config_path is %s' % self.CONFIG_FILE_PATH)
if os.path.exists(self.CONFIG_FILE_PATH):
cp = moves.configparser.RawConfigParser()
try:
cp.read(self.CONFIG_FILE_PATH)
defaults = cp.defaults()
for key, value in defaults.items():
self.test_databases[key] = value
except moves.configparser.ParsingError as e:
self.fail("Failed to read test_migrations.conf config "
"file. Got error: %s" % e)
else:
self.fail("Failed to find test_migrations.conf config "
"file.")
self.engines = {}
for key, value in self.test_databases.items():
self.engines[key] = sqlalchemy.create_engine(value)
# We start each test case with a completely blank slate.
self._reset_databases()
def tearDown(self):
# We destroy the test data store between each test case,
# and recreate it, which ensures that we have no side-effects
# from the tests
self._reset_databases()
super(BaseMigrationTestCase, self).tearDown()
def execute_cmd(self, cmd=None):
process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
output = process.communicate()[0]
LOG.debug(output)
self.assertEqual(0, process.returncode,
"Failed to run: %s\n%s" % (cmd, output))
def _reset_pg(self, conn_pieces):
(user,
password,
database,
host) = utils.get_db_connection_info(conn_pieces)
os.environ['PGPASSWORD'] = password
os.environ['PGUSER'] = user
# note(boris-42): We must create and drop database, we can't
# drop database which we have connected to, so for such
# operations there is a special database template1.
sqlcmd = ("psql -w -U %(user)s -h %(host)s -c"
" '%(sql)s' -d template1")
sql = ("drop database if exists %s;") % database
droptable = sqlcmd % {'user': user, 'host': host, 'sql': sql}
self.execute_cmd(droptable)
sql = ("create database %s;") % database
createtable = sqlcmd % {'user': user, 'host': host, 'sql': sql}
self.execute_cmd(createtable)
os.unsetenv('PGPASSWORD')
os.unsetenv('PGUSER')
@_set_db_lock(lock_prefix='migration_tests-')
def _reset_databases(self):
for key, engine in self.engines.items():
conn_string = self.test_databases[key]
conn_pieces = parse.urlparse(conn_string)
engine.dispose()
if conn_string.startswith('sqlite'):
# We can just delete the SQLite database, which is
# the easiest and cleanest solution
db_path = conn_pieces.path.strip('/')
if os.path.exists(db_path):
os.unlink(db_path)
# No need to recreate the SQLite DB. SQLite will
# create it for us if it's not there...
elif conn_string.startswith('mysql'):
# We can execute the MySQL client to destroy and re-create
# the MYSQL database, which is easier and less error-prone
# than using SQLAlchemy to do this via MetaData...trust me.
(user, password, database, host) = \
utils.get_db_connection_info(conn_pieces)
sql = ("drop database if exists %(db)s; "
"create database %(db)s;") % {'db': database}
cmd = ("mysql -u \"%(user)s\" -p\"%(password)s\" -h %(host)s "
"-e \"%(sql)s\"") % {'user': user, 'password': password,
'host': host, 'sql': sql}
self.execute_cmd(cmd)
elif conn_string.startswith('postgresql'):
self._reset_pg(conn_pieces)
class WalkVersionsMixin(object):
def _walk_versions(self, engine=None, snake_walk=False, downgrade=True):
# Determine latest version script from the repo, then
# upgrade from 1 through to the latest, with no data
# in the databases. This just checks that the schema itself
# upgrades successfully.
# Place the database under version control
self.migration_api.version_control(engine, self.REPOSITORY,
self.INIT_VERSION)
self.assertEqual(self.INIT_VERSION,
self.migration_api.db_version(engine,
self.REPOSITORY))
LOG.debug('latest version is %s' % self.REPOSITORY.latest)
versions = range(self.INIT_VERSION + 1, self.REPOSITORY.latest + 1)
for version in versions:
# upgrade -> downgrade -> upgrade
self._migrate_up(engine, version, with_data=True)
if snake_walk:
downgraded = self._migrate_down(
engine, version - 1, with_data=True)
if downgraded:
self._migrate_up(engine, version)
if downgrade:
# Now walk it back down to 0 from the latest, testing
# the downgrade paths.
for version in reversed(versions):
# downgrade -> upgrade -> downgrade
downgraded = self._migrate_down(engine, version - 1)
if snake_walk and downgraded:
self._migrate_up(engine, version)
self._migrate_down(engine, version - 1)
def _migrate_down(self, engine, version, with_data=False):
try:
self.migration_api.downgrade(engine, self.REPOSITORY, version)
except NotImplementedError:
# NOTE(sirp): some migrations, namely release-level
# migrations, don't support a downgrade.
return False
self.assertEqual(
version, self.migration_api.db_version(engine, self.REPOSITORY))
# NOTE(sirp): `version` is what we're downgrading to (i.e. the 'target'
# version). So if we have any downgrade checks, they need to be run for
# the previous (higher numbered) migration.
if with_data:
post_downgrade = getattr(
self, "_post_downgrade_%03d" % (version + 1), None)
if post_downgrade:
post_downgrade(engine)
return True
def _migrate_up(self, engine, version, with_data=False):
"""migrate up to a new version of the db.
We allow for data insertion and post checks at every
migration version with special _pre_upgrade_### and
_check_### functions in the main test.
"""
# NOTE(sdague): try block is here because it's impossible to debug
# where a failed data migration happens otherwise
try:
if with_data:
data = None
pre_upgrade = getattr(
self, "_pre_upgrade_%03d" % version, None)
if pre_upgrade:
data = pre_upgrade(engine)
self.migration_api.upgrade(engine, self.REPOSITORY, version)
self.assertEqual(version,
self.migration_api.db_version(engine,
self.REPOSITORY))
if with_data:
check = getattr(self, "_check_%03d" % version, None)
if check:
check(engine, data)
except Exception:
LOG.error(_LE("Failed to migrate to version %s on engine %s") %
(version, engine))
raise
|
apache-2.0
|
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] |
frouty/odoogoeen
|
addons/hr_holidays/report/holidays_summary_report.py
|
23
|
10494
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
import datetime
import time
from openerp.osv import fields, osv
from openerp.report.interface import report_rml
from openerp.report.interface import toxml
from openerp import pooler
import time
from openerp.report import report_sxw
from openerp.tools import ustr
from openerp.tools.translate import _
from openerp.tools import to_xml
def lengthmonth(year, month):
if month == 2 and ((year % 4 == 0) and ((year % 100 != 0) or (year % 400 == 0))):
return 29
return [0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][month]
def strToDate(dt):
if dt:
dt_date=datetime.date(int(dt[0:4]),int(dt[5:7]),int(dt[8:10]))
return dt_date
else:
return
def emp_create_xml(self, cr, uid, dept, holiday_type, row_id, empid, name, som, eom):
display={}
if dept==0:
count=0
p_id=pooler.get_pool(cr.dbname).get('hr.holidays').search(cr, uid, [('employee_id','in',[empid,False]), ('type', '=', 'remove')])
ids_date = pooler.get_pool(cr.dbname).get('hr.holidays').read(cr, uid, p_id, ['date_from','date_to','holiday_status_id','state'])
for index in range(1,61):
diff=index-1
current=som+datetime.timedelta(diff)
for item in ids_date:
if current >= strToDate(item['date_from']) and current <= strToDate(item['date_to']):
if item['state'] in holiday_type:
display[index]=item['holiday_status_id'][0]
count=count +1
else:
display[index]=' '
break
else:
display[index]=' '
else:
for index in range(1,61):
display[index]=' '
count=''
data_xml=['<info id="%d" number="%d" val="%s" />' % (row_id,x,display[x]) for x in range(1,len(display)+1) ]
# Computing the xml
xml = '''
%s
<employee row="%d" id="%d" name="%s" sum="%s">
</employee>
''' % (data_xml,row_id,dept, ustr(toxml(name)),count)
return xml
class report_custom(report_rml):
def create_xml(self, cr, uid, ids, data, context):
obj_dept = pooler.get_pool(cr.dbname).get('hr.department')
obj_emp = pooler.get_pool(cr.dbname).get('hr.employee')
depts=[]
emp_id={}
# done={}
rpt_obj = pooler.get_pool(cr.dbname).get('hr.holidays')
rml_obj=report_sxw.rml_parse(cr, uid, rpt_obj._name,context)
cr.execute("SELECT name FROM res_company")
res=cr.fetchone()[0]
date_xml=[]
date_today=time.strftime('%Y-%m-%d %H:%M:%S')
date_xml +=['<res name="%s" today="%s" />' % (to_xml(res),date_today)]
cr.execute("SELECT id, name, color_name FROM hr_holidays_status ORDER BY id")
legend=cr.fetchall()
today=datetime.datetime.today()
first_date=data['form']['date_from']
som = strToDate(first_date)
eom = som+datetime.timedelta(59)
day_diff=eom-som
name = ''
if len(data['form'].get('emp', ())) == 1:
name = obj_emp.read(cr, uid, data['form']['emp'][0], ['name'])['name']
if data['form']['holiday_type']!='both':
type=data['form']['holiday_type']
if data['form']['holiday_type']=='Confirmed':
holiday_type=('confirm')
else:
holiday_type=('validate')
else:
type="Confirmed and Approved"
holiday_type=('confirm','validate')
date_xml.append('<from>%s</from>\n'% (str(rml_obj.formatLang(som.strftime("%Y-%m-%d"),date=True))))
date_xml.append('<to>%s</to>\n' %(str(rml_obj.formatLang(eom.strftime("%Y-%m-%d"),date=True))))
date_xml.append('<type>%s</type>'%(type))
date_xml.append('<name>%s</name>'%(name))
# date_xml=[]
for l in range(0,len(legend)):
date_xml += ['<legend row="%d" id="%d" name="%s" color="%s" />' % (l+1,legend[l][0],_(legend[l][1]),legend[l][2])]
date_xml += ['<date month="%s" year="%d" />' % (ustr(som.strftime('%B')), som.year),'<days>']
cell=1
if day_diff.days>=30:
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som.replace(day=x).strftime('%a')),x-som.day+1) for x in range(som.day, lengthmonth(som.year, som.month)+1)]
else:
if day_diff.days>=(lengthmonth(som.year, som.month)-som.day):
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som.replace(day=x).strftime('%a')),x-som.day+1) for x in range(som.day, lengthmonth(som.year, som.month)+1)]
else:
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som.replace(day=x).strftime('%a')),x-som.day+1) for x in range(som.day, eom.day+1)]
cell=x-som.day+1
day_diff1=day_diff.days-cell+1
width_dict={}
month_dict={}
i=1
j=1
year=som.year
month=som.month
month_dict[j]=som.strftime('%B')
width_dict[j]=cell
while day_diff1>0:
if month+i<=12:
if day_diff1 > lengthmonth(year,i+month): # Not on 30 else you have problems when entering 01-01-2009 for example
som1=datetime.date(year,month+i,1)
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som1.replace(day=x).strftime('%a')),cell+x) for x in range(1, lengthmonth(year,i+month)+1)]
i=i+1
j=j+1
month_dict[j]=som1.strftime('%B')
cell=cell+x
width_dict[j]=x
else:
som1=datetime.date(year,month+i,1)
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som1.replace(day=x).strftime('%a')),cell+x) for x in range(1, eom.day+1)]
i=i+1
j=j+1
month_dict[j]=som1.strftime('%B')
cell=cell+x
width_dict[j]=x
day_diff1=day_diff1-x
else:
years=year+1
year=years
month=0
i=1
if day_diff1>=30:
som1=datetime.date(years,i,1)
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som1.replace(day=x).strftime('%a')),cell+x) for x in range(1, lengthmonth(years,i)+1)]
i=i+1
j=j+1
month_dict[j]=som1.strftime('%B')
cell=cell+x
width_dict[j]=x
else:
som1=datetime.date(years,i,1)
i=i+1
j=j+1
month_dict[j]=som1.strftime('%B')
date_xml += ['<dayy number="%d" name="%s" cell="%d"/>' % (x, _(som1.replace(day=x).strftime('%a')),cell+x) for x in range(1, eom.day+1)]
cell=cell+x
width_dict[j]=x
day_diff1=day_diff1-x
date_xml.append('</days>')
date_xml.append('<cols>3.5cm%s,0.4cm</cols>\n' % (',0.4cm' * (60)))
date_xml = ''.join(date_xml)
st='<cols_months>3.5cm'
for m in range(1,len(width_dict)+1):
st+=',' + str(0.4 *width_dict[m])+'cm'
st+=',0.4cm</cols_months>\n'
months_xml =['<months number="%d" name="%s"/>' % (x, _(month_dict[x])) for x in range(1,len(month_dict)+1) ]
months_xml.append(st)
emp_xml=''
row_id=1
if data['model']=='hr.employee':
for id in data['form']['emp']:
items = obj_emp.read(cr, uid, id, ['id','name'])
emp_xml += emp_create_xml(self, cr, uid, 0, holiday_type, row_id, items['id'], items['name'], som, eom)
row_id = row_id +1
elif data['model']=='ir.ui.menu':
for id in data['form']['depts']:
dept = obj_dept.browse(cr, uid, id, context=context)
emp_ids = obj_emp.search(cr, uid, [('department_id', '=', id)], context=context)
if emp_ids==[]:
continue
dept_done=0
for item in obj_emp.read(cr, uid, emp_ids, ['id', 'name']):
if dept_done==0:
emp_xml += emp_create_xml(self, cr, uid, 1, holiday_type, row_id, dept.id, dept.name, som, eom)
row_id = row_id +1
dept_done=1
emp_xml += emp_create_xml(self, cr, uid, 0, holiday_type, row_id, item['id'], item['name'], som, eom)
row_id = row_id +1
header_xml = '''
<header>
<date>%s</date>
<company>%s</company>
</header>
''' % (str(rml_obj.formatLang(time.strftime("%Y-%m-%d"),date=True))+' ' + str(time.strftime("%H:%M")),to_xml(pooler.get_pool(cr.dbname).get('res.users').browse(cr,uid,uid).company_id.name))
# Computing the xml
xml='''<?xml version="1.0" encoding="UTF-8" ?>
<report>
%s
%s
%s
%s
</report>
''' % (header_xml,months_xml,date_xml, ustr(emp_xml))
return xml
report_custom('report.holidays.summary', 'hr.holidays', '', 'addons/hr_holidays/report/holidays_summary.xsl')
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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cocosli/antlr4
|
runtime/Python2/src/antlr4/atn/ATNDeserializationOptions.py
|
14
|
2185
|
#[The "BSD license"]
# Copyright (c) 2013 Terence Parr
# Copyright (c) 2013 Sam Harwell
# Copyright (c) 2014 Eric Vergnaud
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# 3. The name of the author may not be used to endorse or promote products
# derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
# OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
# NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
# THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
class ATNDeserializationOptions(object):
defaultOptions = None
def __init__(self, copyFrom = None):
self.readOnly = False
self.verifyATN = True if copyFrom is None else copyFrom.verifyATN
self.generateRuleBypassTransitions = False if copyFrom is None else copyFrom.generateRuleBypassTransitions
def __setattr__(self, key, value):
if key!="readOnly" and self.readOnly:
raise Exception("The object is read only.")
super(type(self), self).__setattr__(key,value)
ATNDeserializationOptions.defaultOptions = ATNDeserializationOptions()
ATNDeserializationOptions.defaultOptions.readOnly = True
|
bsd-3-clause
|
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] |
mahabs/nitro
|
nssrc/com/citrix/netscaler/nitro/resource/config/vpn/vpnvserver_authenticationldappolicy_binding.py
|
1
|
14377
|
#
# Copyright (c) 2008-2015 Citrix Systems, Inc.
#
# 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.
#
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_resource
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_response
from nssrc.com.citrix.netscaler.nitro.service.options import options
from nssrc.com.citrix.netscaler.nitro.exception.nitro_exception import nitro_exception
from nssrc.com.citrix.netscaler.nitro.util.nitro_util import nitro_util
class vpnvserver_authenticationldappolicy_binding(base_resource) :
""" Binding class showing the authenticationldappolicy that can be bound to vpnvserver.
"""
def __init__(self) :
self._policy = ""
self._priority = 0
self._acttype = 0
self._secondary = False
self._groupextraction = False
self._name = ""
self._gotopriorityexpression = ""
self._bindpoint = ""
self.___count = 0
@property
def priority(self) :
"""The priority, if any, of the VPN virtual server policy.
"""
try :
return self._priority
except Exception as e:
raise e
@priority.setter
def priority(self, priority) :
"""The priority, if any, of the VPN virtual server policy.
"""
try :
self._priority = priority
except Exception as e:
raise e
@property
def gotopriorityexpression(self) :
"""Expression or other value specifying the next policy to evaluate if the current policy evaluates to TRUE. Specify one of the following values:
* NEXT - Evaluate the policy with the next higher priority number.
* END - End policy evaluation.
* USE_INVOCATION_RESULT - Applicable if this policy invokes another policy label. If the final goto in the invoked policy label has a value of END, the evaluation stops. If the final goto is anything other than END, the current policy label performs a NEXT.
* A default syntax or classic expression that evaluates to a number.
If you specify an expression, the number to which it evaluates determines the next policy to evaluate, as follows:
* If the expression evaluates to a higher numbered priority, the policy with that priority is evaluated next.
* If the expression evaluates to the priority of the current policy, the policy with the next higher numbered priority is evaluated next.
* If the expression evaluates to a number that is larger than the largest numbered priority, policy evaluation ends.
An UNDEF event is triggered if:
* The expression is invalid.
* The expression evaluates to a priority number that is numerically lower than the current policy's priority.
* The expression evaluates to a priority number that is between the current policy's priority number (say, 30) and the highest priority number (say, 100), but does not match any configured priority number (for example, the expression evaluates to the number 85). This example assumes that the priority number increments by 10 for every successive policy, and therefore a priority number of 85 does not exist in the policy label.
"""
try :
return self._gotopriorityexpression
except Exception as e:
raise e
@gotopriorityexpression.setter
def gotopriorityexpression(self, gotopriorityexpression) :
"""Expression or other value specifying the next policy to evaluate if the current policy evaluates to TRUE. Specify one of the following values:
* NEXT - Evaluate the policy with the next higher priority number.
* END - End policy evaluation.
* USE_INVOCATION_RESULT - Applicable if this policy invokes another policy label. If the final goto in the invoked policy label has a value of END, the evaluation stops. If the final goto is anything other than END, the current policy label performs a NEXT.
* A default syntax or classic expression that evaluates to a number.
If you specify an expression, the number to which it evaluates determines the next policy to evaluate, as follows:
* If the expression evaluates to a higher numbered priority, the policy with that priority is evaluated next.
* If the expression evaluates to the priority of the current policy, the policy with the next higher numbered priority is evaluated next.
* If the expression evaluates to a number that is larger than the largest numbered priority, policy evaluation ends.
An UNDEF event is triggered if:
* The expression is invalid.
* The expression evaluates to a priority number that is numerically lower than the current policy's priority.
* The expression evaluates to a priority number that is between the current policy's priority number (say, 30) and the highest priority number (say, 100), but does not match any configured priority number (for example, the expression evaluates to the number 85). This example assumes that the priority number increments by 10 for every successive policy, and therefore a priority number of 85 does not exist in the policy label.
"""
try :
self._gotopriorityexpression = gotopriorityexpression
except Exception as e:
raise e
@property
def policy(self) :
"""The name of the policy, if any, bound to the VPN virtual server.
"""
try :
return self._policy
except Exception as e:
raise e
@policy.setter
def policy(self, policy) :
"""The name of the policy, if any, bound to the VPN virtual server.
"""
try :
self._policy = policy
except Exception as e:
raise e
@property
def groupextraction(self) :
"""Binds the authentication policy to a tertiary chain which will be used only for group extraction. The user will not authenticate against this server, and this will only be called if primary and/or secondary authentication has succeeded.
"""
try :
return self._groupextraction
except Exception as e:
raise e
@groupextraction.setter
def groupextraction(self, groupextraction) :
"""Binds the authentication policy to a tertiary chain which will be used only for group extraction. The user will not authenticate against this server, and this will only be called if primary and/or secondary authentication has succeeded.
"""
try :
self._groupextraction = groupextraction
except Exception as e:
raise e
@property
def name(self) :
"""Name of the virtual server.<br/>Minimum length = 1.
"""
try :
return self._name
except Exception as e:
raise e
@name.setter
def name(self, name) :
"""Name of the virtual server.<br/>Minimum length = 1
"""
try :
self._name = name
except Exception as e:
raise e
@property
def secondary(self) :
"""Binds the authentication policy as the secondary policy to use in a two-factor configuration. A user must then authenticate not only via a primary authentication method but also via a secondary authentication method. User groups are aggregated across both. The user name must be exactly the same for both authentication methods, but they can require different passwords.
"""
try :
return self._secondary
except Exception as e:
raise e
@secondary.setter
def secondary(self, secondary) :
"""Binds the authentication policy as the secondary policy to use in a two-factor configuration. A user must then authenticate not only via a primary authentication method but also via a secondary authentication method. User groups are aggregated across both. The user name must be exactly the same for both authentication methods, but they can require different passwords.
"""
try :
self._secondary = secondary
except Exception as e:
raise e
@property
def bindpoint(self) :
"""Bind point to which to bind the policy. Applies only to rewrite and cache policies. If you do not set this parameter, the policy is bound to REQ_DEFAULT or RES_DEFAULT, depending on whether the policy rule is a response-time or a request-time expression.
"""
try :
return self._bindpoint
except Exception as e:
raise e
@bindpoint.setter
def bindpoint(self, bindpoint) :
"""Bind point to which to bind the policy. Applies only to rewrite and cache policies. If you do not set this parameter, the policy is bound to REQ_DEFAULT or RES_DEFAULT, depending on whether the policy rule is a response-time or a request-time expression.
"""
try :
self._bindpoint = bindpoint
except Exception as e:
raise e
@property
def acttype(self) :
try :
return self._acttype
except Exception as e:
raise e
def _get_nitro_response(self, service, response) :
""" converts nitro response into object and returns the object array in case of get request.
"""
try :
result = service.payload_formatter.string_to_resource(vpnvserver_authenticationldappolicy_binding_response, response, self.__class__.__name__)
if(result.errorcode != 0) :
if (result.errorcode == 444) :
service.clear_session(self)
if result.severity :
if (result.severity == "ERROR") :
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
else :
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
return result.vpnvserver_authenticationldappolicy_binding
except Exception as e :
raise e
def _get_object_name(self) :
""" Returns the value of object identifier argument
"""
try :
if (self.name) :
return str(self.name)
return None
except Exception as e :
raise e
@classmethod
def add(cls, client, resource) :
try :
if resource and type(resource) is not list :
updateresource = vpnvserver_authenticationldappolicy_binding()
updateresource.name = resource.name
updateresource.policy = resource.policy
updateresource.secondary = resource.secondary
updateresource.groupextraction = resource.groupextraction
updateresource.gotopriorityexpression = resource.gotopriorityexpression
updateresource.bindpoint = resource.bindpoint
return updateresource.update_resource(client)
else :
if resource and len(resource) > 0 :
updateresources = [vpnvserver_authenticationldappolicy_binding() for _ in range(len(resource))]
for i in range(len(resource)) :
updateresources[i].name = resource[i].name
updateresources[i].policy = resource[i].policy
updateresources[i].secondary = resource[i].secondary
updateresources[i].groupextraction = resource[i].groupextraction
updateresources[i].gotopriorityexpression = resource[i].gotopriorityexpression
updateresources[i].bindpoint = resource[i].bindpoint
return cls.update_bulk_request(client, updateresources)
except Exception as e :
raise e
@classmethod
def delete(cls, client, resource) :
try :
if resource and type(resource) is not list :
deleteresource = vpnvserver_authenticationldappolicy_binding()
deleteresource.name = resource.name
deleteresource.policy = resource.policy
deleteresource.secondary = resource.secondary
deleteresource.groupextraction = resource.groupextraction
deleteresource.bindpoint = resource.bindpoint
return deleteresource.delete_resource(client)
else :
if resource and len(resource) > 0 :
deleteresources = [vpnvserver_authenticationldappolicy_binding() for _ in range(len(resource))]
for i in range(len(resource)) :
deleteresources[i].name = resource[i].name
deleteresources[i].policy = resource[i].policy
deleteresources[i].secondary = resource[i].secondary
deleteresources[i].groupextraction = resource[i].groupextraction
deleteresources[i].bindpoint = resource[i].bindpoint
return cls.delete_bulk_request(client, deleteresources)
except Exception as e :
raise e
@classmethod
def get(cls, service, name) :
""" Use this API to fetch vpnvserver_authenticationldappolicy_binding resources.
"""
try :
obj = vpnvserver_authenticationldappolicy_binding()
obj.name = name
response = obj.get_resources(service)
return response
except Exception as e:
raise e
@classmethod
def get_filtered(cls, service, name, filter_) :
""" Use this API to fetch filtered set of vpnvserver_authenticationldappolicy_binding resources.
Filter string should be in JSON format.eg: "port:80,servicetype:HTTP".
"""
try :
obj = vpnvserver_authenticationldappolicy_binding()
obj.name = name
option_ = options()
option_.filter = filter_
response = obj.getfiltered(service, option_)
return response
except Exception as e:
raise e
@classmethod
def count(cls, service, name) :
""" Use this API to count vpnvserver_authenticationldappolicy_binding resources configued on NetScaler.
"""
try :
obj = vpnvserver_authenticationldappolicy_binding()
obj.name = name
option_ = options()
option_.count = True
response = obj.get_resources(service, option_)
if response :
return response[0].__dict__['___count']
return 0
except Exception as e:
raise e
@classmethod
def count_filtered(cls, service, name, filter_) :
""" Use this API to count the filtered set of vpnvserver_authenticationldappolicy_binding resources.
Filter string should be in JSON format.eg: "port:80,servicetype:HTTP".
"""
try :
obj = vpnvserver_authenticationldappolicy_binding()
obj.name = name
option_ = options()
option_.count = True
option_.filter = filter_
response = obj.getfiltered(service, option_)
if response :
return response[0].__dict__['___count']
return 0
except Exception as e:
raise e
class Staaddresstype:
IPV4 = "IPV4"
IPV6 = "IPV6"
class Bindpoint:
REQUEST = "REQUEST"
RESPONSE = "RESPONSE"
ICA_REQUEST = "ICA_REQUEST"
OTHERTCP_REQUEST = "OTHERTCP_REQUEST"
class vpnvserver_authenticationldappolicy_binding_response(base_response) :
def __init__(self, length=1) :
self.vpnvserver_authenticationldappolicy_binding = []
self.errorcode = 0
self.message = ""
self.severity = ""
self.sessionid = ""
self.vpnvserver_authenticationldappolicy_binding = [vpnvserver_authenticationldappolicy_binding() for _ in range(length)]
|
apache-2.0
|
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100Shapes/wagtail
|
wagtail/wagtailsearch/management/commands/update_index.py
|
2
|
2445
|
from django.core.management.base import BaseCommand
from django.db import models
from wagtail.wagtailsearch import Indexed, get_search_backend
class Command(BaseCommand):
def handle(self, **options):
# Print info
self.stdout.write("Getting object list")
# Get list of indexed models
indexed_models = [model for model in models.get_models() if issubclass(model, Indexed)]
# Object set
object_set = {}
# Add all objects to object set and detect any duplicates
# Duplicates are caused when both a model and a derived model are indexed
# Eg, if BlogPost inherits from Page and both of these models are indexed
# If we were to add all objects from both models into the index, all the BlogPosts will have two entries
for model in indexed_models:
# Get toplevel content type
toplevel_content_type = model.indexed_get_toplevel_content_type()
# Loop through objects
for obj in model.get_indexed_objects():
# Get key for this object
key = toplevel_content_type + ':' + str(obj.pk)
# Check if this key already exists
if key in object_set:
# Conflict, work out who should get this space
# The object with the longest content type string gets the space
# Eg, "wagtailcore.Page-myapp.BlogPost" kicks out "wagtailcore.Page"
if len(obj.indexed_get_content_type()) > len(object_set[key].indexed_get_content_type()):
# Take the spot
object_set[key] = obj
else:
# Space free, take it
object_set[key] = obj
# Search backend
if 'backend' in options:
s = options['backend']
else:
s = get_search_backend()
# Reset the index
self.stdout.write("Reseting index")
s.reset_index()
# Add types
self.stdout.write("Adding types")
for model in indexed_models:
s.add_type(model)
# Add objects to index
self.stdout.write("Adding objects")
for result in s.add_bulk(object_set.values()):
self.stdout.write(result[0] + ' ' + str(result[1]))
# Refresh index
self.stdout.write("Refreshing index")
s.refresh_index()
|
bsd-3-clause
|
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purduesigbots/pros-cli
|
pros/common/ui/interactive/components/container.py
|
1
|
1157
|
from typing import *
from pros.common.ui.interactive.parameters import BooleanParameter
from .component import Component
class Container(Component):
"""
A Container has multiple Components, possibly a title, and possibly a description
"""
def __init__(self, *elements: Component,
title: Optional[AnyStr] = None, description: Optional[AnyStr] = None,
collapsed: Union[BooleanParameter, bool] = False):
self.title = title
self.description = description
self.elements = elements
self.collapsed = BooleanParameter(collapsed) if isinstance(collapsed, bool) else collapsed
def __getstate__(self):
extra_state = {
'uuid': self.collapsed.uuid,
'collapsed': self.collapsed.value
}
if self.title is not None:
extra_state['title'] = self.title
if self.description is not None:
extra_state['description'] = self.description
return dict(
**super(Container, self).__getstate__(),
**extra_state,
elements=[e.__getstate__() for e in self.elements]
)
|
mpl-2.0
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Stanford-Online/edx-platform
|
common/djangoapps/course_modes/helpers.py
|
23
|
3214
|
""" Helper methods for CourseModes. """
from django.utils.translation import ugettext_lazy as _
from course_modes.models import CourseMode
from student.helpers import VERIFY_STATUS_APPROVED, VERIFY_STATUS_NEED_TO_VERIFY, VERIFY_STATUS_SUBMITTED
DISPLAY_VERIFIED = "verified"
DISPLAY_HONOR = "honor"
DISPLAY_AUDIT = "audit"
DISPLAY_PROFESSIONAL = "professional"
def enrollment_mode_display(mode, verification_status, course_id):
""" Select appropriate display strings and CSS classes.
Uses mode and verification status to select appropriate display strings and CSS classes
for certificate display.
Args:
mode (str): enrollment mode.
verification_status (str) : verification status of student
Returns:
dictionary:
"""
show_image = False
image_alt = ''
enrollment_title = ''
enrollment_value = ''
display_mode = _enrollment_mode_display(mode, verification_status, course_id)
if display_mode == DISPLAY_VERIFIED:
if verification_status in [VERIFY_STATUS_NEED_TO_VERIFY, VERIFY_STATUS_SUBMITTED]:
enrollment_title = _("Your verification is pending")
enrollment_value = _("Verified: Pending Verification")
show_image = True
image_alt = _("ID verification pending")
elif verification_status == VERIFY_STATUS_APPROVED:
enrollment_title = _("You're enrolled as a verified student")
enrollment_value = _("Verified")
show_image = True
image_alt = _("ID Verified Ribbon/Badge")
elif display_mode == DISPLAY_HONOR:
enrollment_title = _("You're enrolled as an honor code student")
enrollment_value = _("Honor Code")
elif display_mode == DISPLAY_PROFESSIONAL:
enrollment_title = _("You're enrolled as a professional education student")
enrollment_value = _("Professional Ed")
return {
'enrollment_title': unicode(enrollment_title),
'enrollment_value': unicode(enrollment_value),
'show_image': show_image,
'image_alt': unicode(image_alt),
'display_mode': _enrollment_mode_display(mode, verification_status, course_id)
}
def _enrollment_mode_display(enrollment_mode, verification_status, course_id):
"""Checking enrollment mode and status and returns the display mode
Args:
enrollment_mode (str): enrollment mode.
verification_status (str) : verification status of student
Returns:
display_mode (str) : display mode for certs
"""
course_mode_slugs = [mode.slug for mode in CourseMode.modes_for_course(course_id)]
if enrollment_mode == CourseMode.VERIFIED:
if verification_status in [VERIFY_STATUS_NEED_TO_VERIFY, VERIFY_STATUS_SUBMITTED, VERIFY_STATUS_APPROVED]:
display_mode = DISPLAY_VERIFIED
elif DISPLAY_HONOR in course_mode_slugs:
display_mode = DISPLAY_HONOR
else:
display_mode = DISPLAY_AUDIT
elif enrollment_mode in [CourseMode.PROFESSIONAL, CourseMode.NO_ID_PROFESSIONAL_MODE]:
display_mode = DISPLAY_PROFESSIONAL
else:
display_mode = enrollment_mode
return display_mode
|
agpl-3.0
|
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Changaco/oh-mainline
|
vendor/packages/html5lib/html5lib/tests/test_tokenizer.py
|
72
|
6826
|
import sys
import os
import unittest
import cStringIO
import warnings
import re
try:
import json
except ImportError:
import simplejson as json
from support import html5lib_test_files
from html5lib.tokenizer import HTMLTokenizer
from html5lib import constants
class TokenizerTestParser(object):
def __init__(self, initialState, lastStartTag=None):
self.tokenizer = HTMLTokenizer
self._state = initialState
self._lastStartTag = lastStartTag
def parse(self, stream, encoding=None, innerHTML=False):
tokenizer = self.tokenizer(stream, encoding)
self.outputTokens = []
tokenizer.state = getattr(tokenizer, self._state)
if self._lastStartTag is not None:
tokenizer.currentToken = {"type": "startTag",
"name":self._lastStartTag}
types = dict((v,k) for k,v in constants.tokenTypes.iteritems())
for token in tokenizer:
getattr(self, 'process%s' % types[token["type"]])(token)
return self.outputTokens
def processDoctype(self, token):
self.outputTokens.append([u"DOCTYPE", token["name"], token["publicId"],
token["systemId"], token["correct"]])
def processStartTag(self, token):
self.outputTokens.append([u"StartTag", token["name"],
dict(token["data"][::-1]), token["selfClosing"]])
def processEmptyTag(self, token):
if token["name"] not in constants.voidElements:
self.outputTokens.append(u"ParseError")
self.outputTokens.append([u"StartTag", token["name"], dict(token["data"][::-1])])
def processEndTag(self, token):
self.outputTokens.append([u"EndTag", token["name"],
token["selfClosing"]])
def processComment(self, token):
self.outputTokens.append([u"Comment", token["data"]])
def processSpaceCharacters(self, token):
self.outputTokens.append([u"Character", token["data"]])
self.processSpaceCharacters = self.processCharacters
def processCharacters(self, token):
self.outputTokens.append([u"Character", token["data"]])
def processEOF(self, token):
pass
def processParseError(self, token):
self.outputTokens.append([u"ParseError", token["data"]])
def concatenateCharacterTokens(tokens):
outputTokens = []
for token in tokens:
if not "ParseError" in token and token[0] == "Character":
if (outputTokens and not "ParseError" in outputTokens[-1] and
outputTokens[-1][0] == "Character"):
outputTokens[-1][1] += token[1]
else:
outputTokens.append(token)
else:
outputTokens.append(token)
return outputTokens
def normalizeTokens(tokens):
# TODO: convert tests to reflect arrays
for i, token in enumerate(tokens):
if token[0] == u'ParseError':
tokens[i] = token[0]
return tokens
def tokensMatch(expectedTokens, receivedTokens, ignoreErrorOrder,
ignoreErrors=False):
"""Test whether the test has passed or failed
If the ignoreErrorOrder flag is set to true we don't test the relative
positions of parse errors and non parse errors
"""
checkSelfClosing= False
for token in expectedTokens:
if (token[0] == "StartTag" and len(token) == 4
or token[0] == "EndTag" and len(token) == 3):
checkSelfClosing = True
break
if not checkSelfClosing:
for token in receivedTokens:
if token[0] == "StartTag" or token[0] == "EndTag":
token.pop()
if not ignoreErrorOrder and not ignoreErrors:
return expectedTokens == receivedTokens
else:
#Sort the tokens into two groups; non-parse errors and parse errors
tokens = {"expected":[[],[]], "received":[[],[]]}
for tokenType, tokenList in zip(tokens.keys(),
(expectedTokens, receivedTokens)):
for token in tokenList:
if token != "ParseError":
tokens[tokenType][0].append(token)
else:
if not ignoreErrors:
tokens[tokenType][1].append(token)
return tokens["expected"] == tokens["received"]
def unescape_test(test):
def decode(inp):
return inp.decode("unicode-escape")
test["input"] = decode(test["input"])
for token in test["output"]:
if token == "ParseError":
continue
else:
token[1] = decode(token[1])
if len(token) > 2:
for key, value in token[2]:
del token[2][key]
token[2][decode(key)] = decode(value)
return test
def runTokenizerTest(test):
#XXX - move this out into the setup function
#concatenate all consecutive character tokens into a single token
if 'doubleEscaped' in test:
test = unescape_test(test)
expected = concatenateCharacterTokens(test['output'])
if 'lastStartTag' not in test:
test['lastStartTag'] = None
outBuffer = cStringIO.StringIO()
stdout = sys.stdout
sys.stdout = outBuffer
parser = TokenizerTestParser(test['initialState'],
test['lastStartTag'])
tokens = parser.parse(test['input'])
tokens = concatenateCharacterTokens(tokens)
received = normalizeTokens(tokens)
errorMsg = u"\n".join(["\n\nInitial state:",
test['initialState'] ,
"\nInput:", unicode(test['input']),
"\nExpected:", unicode(expected),
"\nreceived:", unicode(tokens)])
errorMsg = errorMsg.encode("utf-8")
ignoreErrorOrder = test.get('ignoreErrorOrder', False)
assert tokensMatch(expected, received, ignoreErrorOrder), errorMsg
def _doCapitalize(match):
return match.group(1).upper()
_capitalizeRe = re.compile(r"\W+(\w)").sub
def capitalize(s):
s = s.lower()
s = _capitalizeRe(_doCapitalize, s)
return s
def test_tokenizer():
for filename in html5lib_test_files('tokenizer', '*.test'):
tests = json.load(file(filename))
testName = os.path.basename(filename).replace(".test","")
if 'tests' in tests:
for index,test in enumerate(tests['tests']):
#Skip tests with a self closing flag
skip = False
if 'initialStates' not in test:
test["initialStates"] = ["Data state"]
for initialState in test["initialStates"]:
test["initialState"] = capitalize(initialState)
yield runTokenizerTest, test
|
agpl-3.0
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] |
NeovaHealth/odoo
|
addons/website_forum_doc/__openerp__.py
|
322
|
1508
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2014-Today OpenERP SA (<http://www.openerp.com>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'Documentation',
'category': 'Website',
'summary': 'Forum, Documentation',
'version': '1.0',
'description': """
Documentation based on question and pertinent answers of Forum
""",
'author': 'OpenERP SA',
'depends': [
'website_forum'
],
'data': [
'data/doc_data.xml',
'security/ir.model.access.csv',
'views/doc.xml',
'views/website_doc.xml',
],
'demo': [
'data/doc_demo.xml',
],
'installable': True,
}
|
agpl-3.0
|
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jamielennox/keystone
|
keystone/contrib/federation/schema.py
|
14
|
2401
|
# 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.
from keystone.common import validation
from keystone.common.validation import parameter_types
basic_property_id = {
'type': 'object',
'properties': {
'id': {
'type': 'string'
}
},
'required': ['id'],
'additionalProperties': False
}
saml_create = {
'type': 'object',
'properties': {
'identity': {
'type': 'object',
'properties': {
'token': basic_property_id,
'methods': {
'type': 'array'
}
},
'required': ['token'],
'additionalProperties': False
},
'scope': {
'type': 'object',
'properties': {
'service_provider': basic_property_id
},
'required': ['service_provider'],
'additionalProperties': False
},
},
'required': ['identity', 'scope'],
'additionalProperties': False
}
_service_provider_properties = {
# NOTE(rodrigods): The database accepts URLs with 256 as max length,
# but parameter_types.url uses 225 as max length.
'auth_url': parameter_types.url,
'sp_url': parameter_types.url,
'description': validation.nullable(parameter_types.description),
'enabled': parameter_types.boolean,
'relay_state_prefix': validation.nullable(parameter_types.description)
}
service_provider_create = {
'type': 'object',
'properties': _service_provider_properties,
# NOTE(rodrigods): 'id' is not required since it is passed in the URL
'required': ['auth_url', 'sp_url'],
'additionalProperties': False
}
service_provider_update = {
'type': 'object',
'properties': _service_provider_properties,
# Make sure at least one property is being updated
'minProperties': 1,
'additionalProperties': False
}
|
apache-2.0
|
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apache/airflow
|
tests/providers/google/cloud/operators/test_mlengine_system.py
|
10
|
1883
|
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
from urllib.parse import urlparse
import pytest
from airflow.providers.google.cloud.example_dags.example_mlengine import (
JOB_DIR,
PREDICTION_OUTPUT,
SAVED_MODEL_PATH,
SUMMARY_STAGING,
SUMMARY_TMP,
)
from tests.providers.google.cloud.utils.gcp_authenticator import GCP_AI_KEY
from tests.test_utils.gcp_system_helpers import CLOUD_DAG_FOLDER, GoogleSystemTest, provide_gcp_context
BUCKETS = {
urlparse(bucket_url).netloc
for bucket_url in {SAVED_MODEL_PATH, JOB_DIR, PREDICTION_OUTPUT, SUMMARY_TMP, SUMMARY_STAGING}
}
@pytest.mark.credential_file(GCP_AI_KEY)
class MlEngineExampleDagTest(GoogleSystemTest):
@provide_gcp_context(GCP_AI_KEY)
def setUp(self):
super().setUp()
for bucket in BUCKETS:
self.create_gcs_bucket(bucket)
@provide_gcp_context(GCP_AI_KEY)
def tearDown(self):
for bucket in BUCKETS:
self.delete_gcs_bucket(bucket)
super().tearDown()
@provide_gcp_context(GCP_AI_KEY)
def test_run_example_dag(self):
self.run_dag('example_gcp_mlengine', CLOUD_DAG_FOLDER)
|
apache-2.0
|
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yanheven/horizon
|
horizon/tabs/base.py
|
36
|
17272
|
# Copyright 2012 Nebula, Inc.
#
# 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 sys
import six
from django.template.loader import render_to_string
from django.template import TemplateSyntaxError # noqa
from django.utils.datastructures import SortedDict
from horizon import exceptions
from horizon.utils import html
SEPARATOR = "__"
CSS_TAB_GROUP_CLASSES = ["nav", "nav-tabs", "ajax-tabs"]
CSS_ACTIVE_TAB_CLASSES = ["active"]
CSS_DISABLED_TAB_CLASSES = ["disabled"]
class TabGroup(html.HTMLElement):
"""A container class which knows how to manage and render
:class:`~horizon.tabs.Tab` objects.
.. attribute:: slug
The URL slug and pseudo-unique identifier for this tab group.
.. attribute:: template_name
The name of the template which will be used to render this tab group.
Default: ``"horizon/common/_tab_group.html"``
.. attribute:: sticky
Boolean to control whether the active tab state should be stored
across requests for a given user. (State storage is all done
client-side.)
.. attribute:: show_single_tab
Boolean to control whether the tab bar is shown when the tab group
has only one tab. Default: ``False``
.. attribute:: param_name
The name of the GET request parameter which will be used when
requesting specific tab data. Default: ``tab``.
.. attribute:: classes
A list of CSS classes which should be displayed on this tab group.
.. attribute:: attrs
A dictionary of HTML attributes which should be rendered into the
markup for this tab group.
.. attribute:: selected
Read-only property which is set to the instance of the
currently-selected tab if there is one, otherwise ``None``.
.. attribute:: active
Read-only property which is set to the value of the current active tab.
This may not be the same as the value of ``selected`` if no
specific tab was requested via the ``GET`` parameter.
"""
slug = None
template_name = "horizon/common/_tab_group.html"
param_name = 'tab'
sticky = False
show_single_tab = False
_selected = None
_active = None
@property
def selected(self):
return self._selected
@property
def active(self):
return self._active
def __init__(self, request, **kwargs):
super(TabGroup, self).__init__()
if not hasattr(self, "tabs"):
raise NotImplementedError('%s must declare a "tabs" attribute.'
% self.__class__)
if not self.slug:
raise NotImplementedError('%s must declare a "slug" attribute.'
% self.__class__)
self.request = request
self.kwargs = kwargs
self._data = None
tab_instances = []
for tab in self.tabs:
tab_instances.append((tab.slug, tab(self, request)))
self._tabs = SortedDict(tab_instances)
if self.sticky:
self.attrs['data-sticky-tabs'] = 'sticky'
if not self._set_active_tab():
self.tabs_not_available()
def __repr__(self):
return "<%s: %s>" % (self.__class__.__name__, self.slug)
def load_tab_data(self):
"""Preload all data that for the tabs that will be displayed."""
for tab in self._tabs.values():
if tab.load and not tab.data_loaded:
try:
tab._data = tab.get_context_data(self.request)
except Exception:
tab._data = False
exceptions.handle(self.request)
def get_id(self):
"""Returns the id for this tab group. Defaults to the value of the tab
group's :attr:`horizon.tabs.Tab.slug`.
"""
return self.slug
def get_default_classes(self):
"""Returns a list of the default classes for the tab group. Defaults to
``["nav", "nav-tabs", "ajax-tabs"]``.
"""
default_classes = super(TabGroup, self).get_default_classes()
default_classes.extend(CSS_TAB_GROUP_CLASSES)
return default_classes
def tabs_not_available(self):
"""In the event that no tabs are either allowed or enabled, this method
is the fallback handler. By default it's a no-op, but it exists
to make redirecting or raising exceptions possible for subclasses.
"""
pass
def _set_active_tab(self):
marked_active = None
# See if we have a selected tab via the GET parameter.
tab = self.get_selected_tab()
if tab:
tab._active = True
self._active = tab
marked_active = tab
# Iterate through to mark them all accordingly.
for tab in self._tabs.values():
if tab._allowed and tab._enabled and not marked_active:
tab._active = True
self._active = tab
marked_active = True
elif tab == marked_active:
continue
else:
tab._active = False
return marked_active
def render(self):
"""Renders the HTML output for this tab group."""
return render_to_string(self.template_name, {"tab_group": self})
def get_tabs(self):
"""Returns a list of the allowed tabs for this tab group."""
return filter(lambda tab: tab._allowed, self._tabs.values())
def get_tab(self, tab_name, allow_disabled=False):
"""Returns a specific tab from this tab group.
If the tab is not allowed or not enabled this method returns ``None``.
If the tab is disabled but you wish to return it anyway, you can pass
``True`` to the allow_disabled argument.
"""
tab = self._tabs.get(tab_name, None)
if tab and tab._allowed and (tab._enabled or allow_disabled):
return tab
return None
def get_loaded_tabs(self):
return filter(lambda t: self.get_tab(t.slug), self._tabs.values())
def get_selected_tab(self):
"""Returns the tab specific by the GET request parameter.
In the event that there is no GET request parameter, the value
of the query parameter is invalid, or the tab is not allowed/enabled,
the return value of this function is None.
"""
selected = self.request.GET.get(self.param_name, None)
if selected:
try:
tab_group, tab_name = selected.split(SEPARATOR)
except ValueError:
return None
if tab_group == self.get_id():
self._selected = self.get_tab(tab_name)
return self._selected
class Tab(html.HTMLElement):
"""A reusable interface for constructing a tab within a
:class:`~horizon.tabs.TabGroup`.
.. attribute:: name
The display name for the tab which will be rendered as the text for
the tab element in the HTML. Required.
.. attribute:: slug
The URL slug and id attribute for the tab. This should be unique for
a given tab group. Required.
.. attribute:: preload
Determines whether the contents of the tab should be rendered into
the page's HTML when the tab group is rendered, or whether it should
be loaded dynamically when the tab is selected. Default: ``True``.
.. attribute:: classes
A list of CSS classes which should be displayed on this tab.
.. attribute:: attrs
A dictionary of HTML attributes which should be rendered into the
markup for this tab.
.. attribute:: load
Read-only access to determine whether or not this tab's data should
be loaded immediately.
.. attribute:: permissions
A list of permission names which this tab requires in order to be
displayed. Defaults to an empty list (``[]``).
"""
name = None
slug = None
preload = True
_active = None
permissions = []
def __init__(self, tab_group, request=None):
super(Tab, self).__init__()
# Priority: constructor, class-defined, fallback
if not self.name:
raise ValueError("%s must have a name." % self.__class__.__name__)
self.name = unicode(self.name) # Force unicode.
if not self.slug:
raise ValueError("%s must have a slug." % self.__class__.__name__)
self.tab_group = tab_group
self.request = request
if request:
self._allowed = self.allowed(request) and (
self._has_permissions(request))
self._enabled = self.enabled(request)
def __repr__(self):
return "<%s: %s>" % (self.__class__.__name__, self.slug)
def _has_permissions(self, request):
return request.user.has_perms(self.permissions)
def is_active(self):
"""Method to access whether or not this tab is the active tab."""
if self._active is None:
self.tab_group._set_active_tab()
return self._active
@property
def load(self):
load_preloaded = self.preload or self.is_active()
return load_preloaded and self._allowed and self._enabled
@property
def data(self):
if getattr(self, "_data", None) is None:
self._data = self.get_context_data(self.request)
return self._data
@property
def data_loaded(self):
return getattr(self, "_data", None) is not None
def render(self):
"""Renders the tab to HTML using the
:meth:`~horizon.tabs.Tab.get_context_data` method and
the :meth:`~horizon.tabs.Tab.get_template_name` method.
If :attr:`~horizon.tabs.Tab.preload` is ``False`` and ``force_load``
is not ``True``, or
either :meth:`~horizon.tabs.Tab.allowed` or
:meth:`~horizon.tabs.Tab.enabled` returns ``False`` this method will
return an empty string.
"""
if not self.load:
return ''
try:
context = self.data
except exceptions.Http302:
raise
except Exception:
exc_type, exc_value, exc_traceback = sys.exc_info()
raise six.reraise(TemplateSyntaxError, exc_value, exc_traceback)
return render_to_string(self.get_template_name(self.request), context)
def get_id(self):
"""Returns the id for this tab. Defaults to
``"{{ tab_group.slug }}__{{ tab.slug }}"``.
"""
return SEPARATOR.join([self.tab_group.slug, self.slug])
def get_query_string(self):
return "=".join((self.tab_group.param_name, self.get_id()))
def get_default_classes(self):
"""Returns a list of the default classes for the tab. Defaults to
and empty list (``[]``), however additional classes may be added
depending on the state of the tab as follows:
If the tab is the active tab for the tab group, in which
the class ``"active"`` will be added.
If the tab is not enabled, the classes the class ``"disabled"``
will be added.
"""
default_classes = super(Tab, self).get_default_classes()
if self.is_active():
default_classes.extend(CSS_ACTIVE_TAB_CLASSES)
if not self._enabled:
default_classes.extend(CSS_DISABLED_TAB_CLASSES)
return default_classes
def get_template_name(self, request):
"""Returns the name of the template to be used for rendering this tab.
By default it returns the value of the ``template_name`` attribute
on the ``Tab`` class.
"""
if not hasattr(self, "template_name"):
raise AttributeError("%s must have a template_name attribute or "
"override the get_template_name method."
% self.__class__.__name__)
return self.template_name
def get_context_data(self, request, **kwargs):
"""This method should return a dictionary of context data used to
render the tab. Required.
"""
return kwargs
def enabled(self, request):
"""Determines whether or not the tab should be accessible
(e.g. be rendered into the HTML on load and respond to a click event).
If a tab returns ``False`` from ``enabled`` it will ignore the value
of ``preload`` and only render the HTML of the tab after being clicked.
The default behavior is to return ``True`` for all cases.
"""
return True
def allowed(self, request):
"""Determines whether or not the tab is displayed.
Tab instances can override this method to specify conditions under
which this tab should not be shown at all by returning ``False``.
The default behavior is to return ``True`` for all cases.
"""
return True
def post(self, request, *args, **kwargs):
"""Handles POST data sent to a tab.
Tab instances can override this method to have tab-specific POST logic
without polluting the TabView code.
The default behavior is to ignore POST data.
"""
pass
class TableTab(Tab):
"""A :class:`~horizon.tabs.Tab` class which knows how to deal with
:class:`~horizon.tables.DataTable` classes rendered inside of it.
This distinct class is required due to the complexity involved in handling
both dynamic tab loading, dynamic table updating and table actions all
within one view.
.. attribute:: table_classes
An iterable containing the :class:`~horizon.tables.DataTable` classes
which this tab will contain. Equivalent to the
:attr:`~horizon.tables.MultiTableView.table_classes` attribute on
:class:`~horizon.tables.MultiTableView`. For each table class you
need to define a corresponding ``get_{{ table_name }}_data`` method
as with :class:`~horizon.tables.MultiTableView`.
"""
table_classes = None
def __init__(self, tab_group, request):
super(TableTab, self).__init__(tab_group, request)
if not self.table_classes:
class_name = self.__class__.__name__
raise NotImplementedError("You must define a table_class "
"attribute on %s" % class_name)
# Instantiate our table classes but don't assign data yet
table_instances = [(table._meta.name,
table(request, **tab_group.kwargs))
for table in self.table_classes]
self._tables = SortedDict(table_instances)
self._table_data_loaded = False
def load_table_data(self):
"""Calls the ``get_{{ table_name }}_data`` methods for each table class
and sets the data on the tables.
"""
# We only want the data to be loaded once, so we track if we have...
if not self._table_data_loaded:
for table_name, table in self._tables.items():
# Fetch the data function.
func_name = "get_%s_data" % table_name
data_func = getattr(self, func_name, None)
if data_func is None:
cls_name = self.__class__.__name__
raise NotImplementedError("You must define a %s method "
"on %s." % (func_name, cls_name))
# Load the data.
table.data = data_func()
table._meta.has_prev_data = self.has_prev_data(table)
table._meta.has_more_data = self.has_more_data(table)
# Mark our data as loaded so we don't run the loaders again.
self._table_data_loaded = True
def get_context_data(self, request, **kwargs):
"""Adds a ``{{ table_name }}_table`` item to the context for each table
in the :attr:`~horizon.tabs.TableTab.table_classes` attribute.
If only one table class is provided, a shortcut ``table`` context
variable is also added containing the single table.
"""
context = super(TableTab, self).get_context_data(request, **kwargs)
# If the data hasn't been manually loaded before now,
# make certain it's loaded before setting the context.
self.load_table_data()
for table_name, table in self._tables.items():
# If there's only one table class, add a shortcut name as well.
if len(self.table_classes) == 1:
context["table"] = table
context["%s_table" % table_name] = table
return context
def has_prev_data(self, table):
return False
def has_more_data(self, table):
return False
|
apache-2.0
|
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TedaLIEz/sentry
|
src/sentry/migrations/0046_auto__add_teammember__add_unique_teammember_team_user__add_team__add_p.py
|
36
|
22165
|
# encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'TeamMember'
db.create_table('sentry_teammember', (
('id', self.gf('sentry.db.models.fields.bounded.BoundedBigAutoField')(primary_key=True)),
('team', self.gf('sentry.db.models.fields.FlexibleForeignKey')(to=orm['sentry.Team'])),
('user', self.gf('sentry.db.models.fields.FlexibleForeignKey')(related_name='sentry_teammember_set', to=orm['sentry.User'])),
('is_active', self.gf('django.db.models.fields.BooleanField')(default=True)),
('type', self.gf('django.db.models.fields.IntegerField')(default=0)),
('date_added', self.gf('django.db.models.fields.DateTimeField')(default=datetime.datetime.now)),
))
db.send_create_signal('sentry', ['TeamMember'])
# Adding unique constraint on 'TeamMember', fields ['team', 'user']
db.create_unique('sentry_teammember', ['team_id', 'user_id'])
# Adding model 'Team'
db.create_table('sentry_team', (
('id', self.gf('sentry.db.models.fields.bounded.BoundedBigAutoField')(primary_key=True)),
('slug', self.gf('django.db.models.fields.SlugField')(unique=True, max_length=50, db_index=True)),
('name', self.gf('django.db.models.fields.CharField')(max_length=64)),
('owner', self.gf('sentry.db.models.fields.FlexibleForeignKey')(to=orm['sentry.User'])),
))
db.send_create_signal('sentry', ['Team'])
# Adding model 'ProjectKey'
db.create_table('sentry_projectkey', (
('id', self.gf('sentry.db.models.fields.bounded.BoundedBigAutoField')(primary_key=True)),
('project', self.gf('sentry.db.models.fields.FlexibleForeignKey')(to=orm['sentry.Project'])),
('public_key', self.gf('django.db.models.fields.CharField')(max_length=32, unique=True, null=True)),
('secret_key', self.gf('django.db.models.fields.CharField')(max_length=32, unique=True, null=True)),
('user', self.gf('sentry.db.models.fields.FlexibleForeignKey')(to=orm['sentry.User'], null=True)),
))
db.send_create_signal('sentry', ['ProjectKey'])
# Adding field 'Project.slug'
db.add_column('sentry_project', 'slug', self.gf('django.db.models.fields.SlugField')(max_length=50, unique=True, null=True, db_index=True), keep_default=False)
# Adding field 'Project.team'
db.add_column('sentry_project', 'team', self.gf('sentry.db.models.fields.FlexibleForeignKey')(to=orm['sentry.Team'], null=True), keep_default=False)
def backwards(self, orm):
# Removing unique constraint on 'TeamMember', fields ['team', 'user']
db.delete_unique('sentry_teammember', ['team_id', 'user_id'])
# Deleting model 'TeamMember'
db.delete_table('sentry_teammember')
# Deleting model 'Team'
db.delete_table('sentry_team')
# Deleting model 'ProjectKey'
db.delete_table('sentry_projectkey')
# Deleting field 'Project.slug'
db.delete_column('sentry_project', 'slug')
# Deleting field 'Project.team'
db.delete_column('sentry_project', 'team_id')
models = {
'sentry.user': {
'Meta': {'object_name': 'User', 'db_table': "'auth_user'"},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
'sentry.event': {
'Meta': {'unique_together': "(('project', 'event_id'),)", 'object_name': 'Event', 'db_table': "'sentry_message'"},
'checksum': ('django.db.models.fields.CharField', [], {'max_length': '32', 'db_index': 'True'}),
'culprit': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'db_column': "'view'", 'blank': 'True'}),
'data': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'datetime': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}),
'event_id': ('django.db.models.fields.CharField', [], {'max_length': '32', 'null': 'True', 'db_column': "'message_id'"}),
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'blank': 'True', 'related_name': "'event_set'", 'null': 'True', 'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'level': ('django.db.models.fields.PositiveIntegerField', [], {'default': '40', 'db_index': 'True', 'blank': 'True'}),
'logger': ('django.db.models.fields.CharField', [], {'default': "'root'", 'max_length': '64', 'db_index': 'True', 'blank': 'True'}),
'message': ('django.db.models.fields.TextField', [], {}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'server_name': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}),
'site': ('django.db.models.fields.CharField', [], {'max_length': '128', 'null': 'True', 'db_index': 'True'}),
'time_spent': ('django.db.models.fields.FloatField', [], {'null': 'True'})
},
'sentry.filtervalue': {
'Meta': {'unique_together': "(('project', 'key', 'value'),)", 'object_name': 'FilterValue'},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'key': ('django.db.models.fields.CharField', [], {'max_length': '32'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'value': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
'sentry.group': {
'Meta': {'unique_together': "(('project', 'logger', 'culprit', 'checksum'),)", 'object_name': 'Group', 'db_table': "'sentry_groupedmessage'"},
'checksum': ('django.db.models.fields.CharField', [], {'max_length': '32', 'db_index': 'True'}),
'culprit': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True', 'db_column': "'view'", 'blank': 'True'}),
'data': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'first_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'last_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'db_index': 'True'}),
'level': ('django.db.models.fields.PositiveIntegerField', [], {'default': '40', 'db_index': 'True', 'blank': 'True'}),
'logger': ('django.db.models.fields.CharField', [], {'default': "'root'", 'max_length': '64', 'db_index': 'True', 'blank': 'True'}),
'message': ('django.db.models.fields.TextField', [], {}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'score': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'status': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'db_index': 'True'}),
'time_spent_count': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'time_spent_total': ('django.db.models.fields.FloatField', [], {'default': '0'}),
'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1', 'db_index': 'True'}),
'views': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['sentry.View']", 'symmetrical': 'False', 'blank': 'True'})
},
'sentry.groupbookmark': {
'Meta': {'unique_together': "(('project', 'user', 'group'),)", 'object_name': 'GroupBookmark'},
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'bookmark_set'", 'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'bookmark_set'", 'to': "orm['sentry.Project']"}),
'user': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'sentry_bookmark_set'", 'to': "orm['sentry.User']"})
},
'sentry.groupmeta': {
'Meta': {'unique_together': "(('group', 'key'),)", 'object_name': 'GroupMeta'},
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'key': ('django.db.models.fields.CharField', [], {'max_length': '64'}),
'value': ('django.db.models.fields.TextField', [], {})
},
'sentry.messagecountbyminute': {
'Meta': {'unique_together': "(('project', 'group', 'date'),)", 'object_name': 'MessageCountByMinute'},
'date': ('django.db.models.fields.DateTimeField', [], {}),
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'time_spent_count': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'time_spent_total': ('django.db.models.fields.FloatField', [], {'default': '0'}),
'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'})
},
'sentry.messagefiltervalue': {
'Meta': {'unique_together': "(('project', 'key', 'value', 'group'),)", 'object_name': 'MessageFilterValue'},
'first_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True'}),
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'key': ('django.db.models.fields.CharField', [], {'max_length': '32'}),
'last_seen': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now', 'null': 'True', 'db_index': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'value': ('django.db.models.fields.CharField', [], {'max_length': '200'})
},
'sentry.messageindex': {
'Meta': {'unique_together': "(('column', 'value', 'object_id'),)", 'object_name': 'MessageIndex'},
'column': ('django.db.models.fields.CharField', [], {'max_length': '32'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'object_id': ('django.db.models.fields.PositiveIntegerField', [], {}),
'value': ('django.db.models.fields.CharField', [], {'max_length': '128'})
},
'sentry.option': {
'Meta': {'object_name': 'Option'},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'key': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '64'}),
'value': ('picklefield.fields.PickledObjectField', [], {})
},
'sentry.pendingprojectmember': {
'Meta': {'unique_together': "(('project', 'email'),)", 'object_name': 'PendingProjectMember'},
'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'pending_member_set'", 'to': "orm['sentry.Project']"}),
'type': ('django.db.models.fields.IntegerField', [], {'default': '0'})
},
'sentry.project': {
'Meta': {'object_name': 'Project'},
'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '200'}),
'owner': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'sentry_owned_project_set'", 'null': 'True', 'to': "orm['sentry.User']"}),
'public': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'slug': ('django.db.models.fields.SlugField', [], {'max_length': '50', 'unique': 'True', 'null': 'True', 'db_index': 'True'}),
'status': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'db_index': 'True'}),
'team': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Team']", 'null': 'True'})
},
'sentry.projectcountbyminute': {
'Meta': {'unique_together': "(('project', 'date'),)", 'object_name': 'ProjectCountByMinute'},
'date': ('django.db.models.fields.DateTimeField', [], {}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']", 'null': 'True'}),
'time_spent_count': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'time_spent_total': ('django.db.models.fields.FloatField', [], {'default': '0'}),
'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'})
},
'sentry.projectdomain': {
'Meta': {'unique_together': "(('project', 'domain'),)", 'object_name': 'ProjectDomain'},
'domain': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'domain_set'", 'to': "orm['sentry.Project']"})
},
'sentry.projectkey': {
'Meta': {'object_name': 'ProjectKey'},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']"}),
'public_key': ('django.db.models.fields.CharField', [], {'max_length': '32', 'unique': 'True', 'null': 'True'}),
'secret_key': ('django.db.models.fields.CharField', [], {'max_length': '32', 'unique': 'True', 'null': 'True'}),
'user': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.User']", 'null': 'True'})
},
'sentry.projectmember': {
'Meta': {'unique_together': "(('project', 'user'),)", 'object_name': 'ProjectMember'},
'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'member_set'", 'to': "orm['sentry.Project']"}),
'public_key': ('django.db.models.fields.CharField', [], {'max_length': '32', 'unique': 'True', 'null': 'True'}),
'secret_key': ('django.db.models.fields.CharField', [], {'max_length': '32', 'unique': 'True', 'null': 'True'}),
'type': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'user': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'sentry_project_set'", 'to': "orm['sentry.User']"})
},
'sentry.projectoption': {
'Meta': {'unique_together': "(('project', 'key'),)", 'object_name': 'ProjectOption', 'db_table': "'sentry_projectoptions'"},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'key': ('django.db.models.fields.CharField', [], {'max_length': '64'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']"}),
'value': ('picklefield.fields.PickledObjectField', [], {})
},
'sentry.searchdocument': {
'Meta': {'unique_together': "(('project', 'group'),)", 'object_name': 'SearchDocument'},
'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'date_changed': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'group': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Group']"}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'project': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Project']"}),
'status': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}),
'total_events': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'})
},
'sentry.searchtoken': {
'Meta': {'unique_together': "(('document', 'field', 'token'),)", 'object_name': 'SearchToken'},
'document': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'token_set'", 'to': "orm['sentry.SearchDocument']"}),
'field': ('django.db.models.fields.CharField', [], {'default': "'text'", 'max_length': '64'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'times_seen': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}),
'token': ('django.db.models.fields.CharField', [], {'max_length': '128'})
},
'sentry.team': {
'Meta': {'object_name': 'Team'},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '64'}),
'owner': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.User']"}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50', 'db_index': 'True'})
},
'sentry.teammember': {
'Meta': {'unique_together': "(('team', 'user'),)", 'object_name': 'TeamMember'},
'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'team': ('sentry.db.models.fields.FlexibleForeignKey', [], {'to': "orm['sentry.Team']"}),
'type': ('django.db.models.fields.IntegerField', [], {'default': '0'}),
'user': ('sentry.db.models.fields.FlexibleForeignKey', [], {'related_name': "'sentry_teammember_set'", 'to': "orm['sentry.User']"})
},
'sentry.view': {
'Meta': {'object_name': 'View'},
'id': ('sentry.db.models.fields.bounded.BoundedBigAutoField', [], {'primary_key': 'True'}),
'path': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '100'}),
'verbose_name': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True'}),
'verbose_name_plural': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True'})
}
}
complete_apps = ['sentry']
|
bsd-3-clause
|
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apache-spark-on-k8s/spark
|
examples/src/main/python/ml/bisecting_k_means_example.py
|
69
|
1777
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#
from __future__ import print_function
# $example on$
from pyspark.ml.clustering import BisectingKMeans
# $example off$
from pyspark.sql import SparkSession
"""
An example demonstrating bisecting k-means clustering.
Run with:
bin/spark-submit examples/src/main/python/ml/bisecting_k_means_example.py
"""
if __name__ == "__main__":
spark = SparkSession\
.builder\
.appName("BisectingKMeansExample")\
.getOrCreate()
# $example on$
# Loads data.
dataset = spark.read.format("libsvm").load("data/mllib/sample_kmeans_data.txt")
# Trains a bisecting k-means model.
bkm = BisectingKMeans().setK(2).setSeed(1)
model = bkm.fit(dataset)
# Evaluate clustering.
cost = model.computeCost(dataset)
print("Within Set Sum of Squared Errors = " + str(cost))
# Shows the result.
print("Cluster Centers: ")
centers = model.clusterCenters()
for center in centers:
print(center)
# $example off$
spark.stop()
|
apache-2.0
|
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mmoya/ansible
|
lib/ansible/utils/display_functions.py
|
147
|
2184
|
# (c) 2014, Michael DeHaan <michael.dehaan@gmail.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Ansible is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Ansible. If not, see <http://www.gnu.org/licenses/>.
import textwrap
from ansible import constants as C
from ansible import errors
from ansible.callbacks import display
__all__ = ['deprecated', 'warning', 'system_warning']
# list of all deprecation messages to prevent duplicate display
deprecations = {}
warns = {}
def deprecated(msg, version, removed=False):
''' used to print out a deprecation message.'''
if not removed and not C.DEPRECATION_WARNINGS:
return
if not removed:
if version:
new_msg = "\n[DEPRECATION WARNING]: %s. This feature will be removed in version %s." % (msg, version)
else:
new_msg = "\n[DEPRECATION WARNING]: %s. This feature will be removed in a future release." % (msg)
new_msg = new_msg + " Deprecation warnings can be disabled by setting deprecation_warnings=False in ansible.cfg.\n\n"
else:
raise errors.AnsibleError("[DEPRECATED]: %s. Please update your playbooks." % msg)
wrapped = textwrap.wrap(new_msg, 79)
new_msg = "\n".join(wrapped) + "\n"
if new_msg not in deprecations:
display(new_msg, color='purple', stderr=True)
deprecations[new_msg] = 1
def warning(msg):
new_msg = "\n[WARNING]: %s" % msg
wrapped = textwrap.wrap(new_msg, 79)
new_msg = "\n".join(wrapped) + "\n"
if new_msg not in warns:
display(new_msg, color='bright purple', stderr=True)
warns[new_msg] = 1
def system_warning(msg):
if C.SYSTEM_WARNINGS:
warning(msg)
|
gpl-3.0
|
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Yangqing/caffe2
|
caffe2/experiments/python/funhash_op_test.py
|
4
|
2885
|
# Copyright (c) 2016-present, Facebook, Inc.
#
# 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.
##############################################################################
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from scipy.sparse import coo_matrix
from hypothesis import given
import hypothesis.strategies as st
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
class TestFunHash(hu.HypothesisTestCase):
@given(n_out=st.integers(min_value=5, max_value=20),
n_in=st.integers(min_value=10, max_value=20),
n_data=st.integers(min_value=2, max_value=8),
n_weight=st.integers(min_value=8, max_value=15),
n_alpha=st.integers(min_value=3, max_value=8),
sparsity=st.floats(min_value=0.1, max_value=1.0),
**hu.gcs)
def test_funhash(self, n_out, n_in, n_data, n_weight, n_alpha, sparsity,
gc, dc):
A = np.random.rand(n_data, n_in)
A[A > sparsity] = 0
A_coo = coo_matrix(A)
val, key, seg = A_coo.data, A_coo.col, A_coo.row
weight = np.random.rand(n_weight).astype(np.float32)
alpha = np.random.rand(n_alpha).astype(np.float32)
val = val.astype(np.float32)
key = key.astype(np.int64)
seg = seg.astype(np.int32)
op = core.CreateOperator(
'FunHash',
['val', 'key', 'seg', 'weight', 'alpha'],
['out'],
num_outputs=n_out)
# Check over multiple devices
self.assertDeviceChecks(
dc, op, [val, key, seg, weight, alpha], [0])
# Gradient check wrt weight
self.assertGradientChecks(
gc, op, [val, key, seg, weight, alpha], 3, [0])
# Gradient check wrt alpha
self.assertGradientChecks(
gc, op, [val, key, seg, weight, alpha], 4, [0])
op2 = core.CreateOperator(
'FunHash',
['val', 'key', 'seg', 'weight'],
['out'],
num_outputs=n_out)
# Check over multiple devices
self.assertDeviceChecks(
dc, op2, [val, key, seg, weight], [0])
# Gradient check wrt weight
self.assertGradientChecks(
gc, op2, [val, key, seg, weight], 3, [0])
|
apache-2.0
|
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mzdaniel/oh-mainline
|
vendor/packages/twisted/twisted/internet/threads.py
|
25
|
3851
|
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Extended thread dispatching support.
For basic support see reactor threading API docs.
Maintainer: Itamar Shtull-Trauring
"""
import Queue
from twisted.python import failure
from twisted.internet import defer
def deferToThreadPool(reactor, threadpool, f, *args, **kwargs):
"""
Call the function C{f} using a thread from the given threadpool and return
the result as a Deferred.
This function is only used by client code which is maintaining its own
threadpool. To run a function in the reactor's threadpool, use
C{deferToThread}.
@param reactor: The reactor in whose main thread the Deferred will be
invoked.
@param threadpool: An object which supports the C{callInThreadWithCallback}
method of C{twisted.python.threadpool.ThreadPool}.
@param f: The function to call.
@param *args: positional arguments to pass to f.
@param **kwargs: keyword arguments to pass to f.
@return: A Deferred which fires a callback with the result of f, or an
errback with a L{twisted.python.failure.Failure} if f throws an
exception.
"""
d = defer.Deferred()
def onResult(success, result):
if success:
reactor.callFromThread(d.callback, result)
else:
reactor.callFromThread(d.errback, result)
threadpool.callInThreadWithCallback(onResult, f, *args, **kwargs)
return d
def deferToThread(f, *args, **kwargs):
"""
Run a function in a thread and return the result as a Deferred.
@param f: The function to call.
@param *args: positional arguments to pass to f.
@param **kwargs: keyword arguments to pass to f.
@return: A Deferred which fires a callback with the result of f,
or an errback with a L{twisted.python.failure.Failure} if f throws
an exception.
"""
from twisted.internet import reactor
return deferToThreadPool(reactor, reactor.getThreadPool(),
f, *args, **kwargs)
def _runMultiple(tupleList):
"""
Run a list of functions.
"""
for f, args, kwargs in tupleList:
f(*args, **kwargs)
def callMultipleInThread(tupleList):
"""
Run a list of functions in the same thread.
tupleList should be a list of (function, argsList, kwargsDict) tuples.
"""
from twisted.internet import reactor
reactor.callInThread(_runMultiple, tupleList)
def blockingCallFromThread(reactor, f, *a, **kw):
"""
Run a function in the reactor from a thread, and wait for the result
synchronously. If the function returns a L{Deferred}, wait for its
result and return that.
@param reactor: The L{IReactorThreads} provider which will be used to
schedule the function call.
@param f: the callable to run in the reactor thread
@type f: any callable.
@param a: the arguments to pass to C{f}.
@param kw: the keyword arguments to pass to C{f}.
@return: the result of the L{Deferred} returned by C{f}, or the result
of C{f} if it returns anything other than a L{Deferred}.
@raise: If C{f} raises a synchronous exception,
C{blockingCallFromThread} will raise that exception. If C{f}
returns a L{Deferred} which fires with a L{Failure},
C{blockingCallFromThread} will raise that failure's exception (see
L{Failure.raiseException}).
"""
queue = Queue.Queue()
def _callFromThread():
result = defer.maybeDeferred(f, *a, **kw)
result.addBoth(queue.put)
reactor.callFromThread(_callFromThread)
result = queue.get()
if isinstance(result, failure.Failure):
result.raiseException()
return result
__all__ = ["deferToThread", "deferToThreadPool", "callMultipleInThread",
"blockingCallFromThread"]
|
agpl-3.0
|
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michael-ball/sublime-text
|
sublime-text-3/Packages/Python PEP8 Autoformat/libs/py26/lib2to3/pgen2/grammar.py
|
119
|
5373
|
# Copyright 2004-2005 Elemental Security, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
"""This module defines the data structures used to represent a grammar.
These are a bit arcane because they are derived from the data
structures used by Python's 'pgen' parser generator.
There's also a table here mapping operators to their names in the
token module; the Python tokenize module reports all operators as the
fallback token code OP, but the parser needs the actual token code.
"""
# Python imports
import pickle
# Local imports
from . import token, tokenize
class Grammar(object):
"""Pgen parsing tables tables conversion class.
Once initialized, this class supplies the grammar tables for the
parsing engine implemented by parse.py. The parsing engine
accesses the instance variables directly. The class here does not
provide initialization of the tables; several subclasses exist to
do this (see the conv and pgen modules).
The load() method reads the tables from a pickle file, which is
much faster than the other ways offered by subclasses. The pickle
file is written by calling dump() (after loading the grammar
tables using a subclass). The report() method prints a readable
representation of the tables to stdout, for debugging.
The instance variables are as follows:
symbol2number -- a dict mapping symbol names to numbers. Symbol
numbers are always 256 or higher, to distinguish
them from token numbers, which are between 0 and
255 (inclusive).
number2symbol -- a dict mapping numbers to symbol names;
these two are each other's inverse.
states -- a list of DFAs, where each DFA is a list of
states, each state is is a list of arcs, and each
arc is a (i, j) pair where i is a label and j is
a state number. The DFA number is the index into
this list. (This name is slightly confusing.)
Final states are represented by a special arc of
the form (0, j) where j is its own state number.
dfas -- a dict mapping symbol numbers to (DFA, first)
pairs, where DFA is an item from the states list
above, and first is a set of tokens that can
begin this grammar rule (represented by a dict
whose values are always 1).
labels -- a list of (x, y) pairs where x is either a token
number or a symbol number, and y is either None
or a string; the strings are keywords. The label
number is the index in this list; label numbers
are used to mark state transitions (arcs) in the
DFAs.
start -- the number of the grammar's start symbol.
keywords -- a dict mapping keyword strings to arc labels.
tokens -- a dict mapping token numbers to arc labels.
"""
def __init__(self):
self.symbol2number = {}
self.number2symbol = {}
self.states = []
self.dfas = {}
self.labels = [(0, "EMPTY")]
self.keywords = {}
self.tokens = {}
self.symbol2label = {}
self.start = 256
def dump(self, filename):
"""Dump the grammar tables to a pickle file."""
f = open(filename, "wb")
pickle.dump(self.__dict__, f, 2)
f.close()
def load(self, filename):
"""Load the grammar tables from a pickle file."""
f = open(filename, "rb")
d = pickle.load(f)
f.close()
self.__dict__.update(d)
def copy(self):
"""
Copy the grammar.
"""
new = self.__class__()
for dict_attr in ("symbol2number", "number2symbol", "dfas", "keywords",
"tokens", "symbol2label"):
setattr(new, dict_attr, getattr(self, dict_attr).copy())
new.labels = self.labels[:]
new.states = self.states[:]
new.start = self.start
return new
def report(self):
"""Dump the grammar tables to standard output, for debugging."""
from pprint import pprint
print "s2n"
pprint(self.symbol2number)
print "n2s"
pprint(self.number2symbol)
print "states"
pprint(self.states)
print "dfas"
pprint(self.dfas)
print "labels"
pprint(self.labels)
print "start", self.start
# Map from operator to number (since tokenize doesn't do this)
opmap_raw = """
( LPAR
) RPAR
[ LSQB
] RSQB
: COLON
, COMMA
; SEMI
+ PLUS
- MINUS
* STAR
/ SLASH
| VBAR
& AMPER
< LESS
> GREATER
= EQUAL
. DOT
% PERCENT
` BACKQUOTE
{ LBRACE
} RBRACE
@ AT
== EQEQUAL
!= NOTEQUAL
<> NOTEQUAL
<= LESSEQUAL
>= GREATEREQUAL
~ TILDE
^ CIRCUMFLEX
<< LEFTSHIFT
>> RIGHTSHIFT
** DOUBLESTAR
+= PLUSEQUAL
-= MINEQUAL
*= STAREQUAL
/= SLASHEQUAL
%= PERCENTEQUAL
&= AMPEREQUAL
|= VBAREQUAL
^= CIRCUMFLEXEQUAL
<<= LEFTSHIFTEQUAL
>>= RIGHTSHIFTEQUAL
**= DOUBLESTAREQUAL
// DOUBLESLASH
//= DOUBLESLASHEQUAL
-> RARROW
"""
opmap = {}
for line in opmap_raw.splitlines():
if line:
op, name = line.split()
opmap[op] = getattr(token, name)
|
unlicense
|
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] |
mbayon/TFG-MachineLearning
|
venv/lib/python3.6/site-packages/numpy/polynomial/hermite.py
|
7
|
57744
|
"""
Objects for dealing with Hermite series.
This module provides a number of objects (mostly functions) useful for
dealing with Hermite series, including a `Hermite` class that
encapsulates the usual arithmetic operations. (General information
on how this module represents and works with such polynomials is in the
docstring for its "parent" sub-package, `numpy.polynomial`).
Constants
---------
- `hermdomain` -- Hermite series default domain, [-1,1].
- `hermzero` -- Hermite series that evaluates identically to 0.
- `hermone` -- Hermite series that evaluates identically to 1.
- `hermx` -- Hermite series for the identity map, ``f(x) = x``.
Arithmetic
----------
- `hermmulx` -- multiply a Hermite series in ``P_i(x)`` by ``x``.
- `hermadd` -- add two Hermite series.
- `hermsub` -- subtract one Hermite series from another.
- `hermmul` -- multiply two Hermite series.
- `hermdiv` -- divide one Hermite series by another.
- `hermval` -- evaluate a Hermite series at given points.
- `hermval2d` -- evaluate a 2D Hermite series at given points.
- `hermval3d` -- evaluate a 3D Hermite series at given points.
- `hermgrid2d` -- evaluate a 2D Hermite series on a Cartesian product.
- `hermgrid3d` -- evaluate a 3D Hermite series on a Cartesian product.
Calculus
--------
- `hermder` -- differentiate a Hermite series.
- `hermint` -- integrate a Hermite series.
Misc Functions
--------------
- `hermfromroots` -- create a Hermite series with specified roots.
- `hermroots` -- find the roots of a Hermite series.
- `hermvander` -- Vandermonde-like matrix for Hermite polynomials.
- `hermvander2d` -- Vandermonde-like matrix for 2D power series.
- `hermvander3d` -- Vandermonde-like matrix for 3D power series.
- `hermgauss` -- Gauss-Hermite quadrature, points and weights.
- `hermweight` -- Hermite weight function.
- `hermcompanion` -- symmetrized companion matrix in Hermite form.
- `hermfit` -- least-squares fit returning a Hermite series.
- `hermtrim` -- trim leading coefficients from a Hermite series.
- `hermline` -- Hermite series of given straight line.
- `herm2poly` -- convert a Hermite series to a polynomial.
- `poly2herm` -- convert a polynomial to a Hermite series.
Classes
-------
- `Hermite` -- A Hermite series class.
See also
--------
`numpy.polynomial`
"""
from __future__ import division, absolute_import, print_function
import warnings
import numpy as np
import numpy.linalg as la
from numpy.core.multiarray import normalize_axis_index
from . import polyutils as pu
from ._polybase import ABCPolyBase
__all__ = [
'hermzero', 'hermone', 'hermx', 'hermdomain', 'hermline', 'hermadd',
'hermsub', 'hermmulx', 'hermmul', 'hermdiv', 'hermpow', 'hermval',
'hermder', 'hermint', 'herm2poly', 'poly2herm', 'hermfromroots',
'hermvander', 'hermfit', 'hermtrim', 'hermroots', 'Hermite',
'hermval2d', 'hermval3d', 'hermgrid2d', 'hermgrid3d', 'hermvander2d',
'hermvander3d', 'hermcompanion', 'hermgauss', 'hermweight']
hermtrim = pu.trimcoef
def poly2herm(pol):
"""
poly2herm(pol)
Convert a polynomial to a Hermite series.
Convert an array representing the coefficients of a polynomial (relative
to the "standard" basis) ordered from lowest degree to highest, to an
array of the coefficients of the equivalent Hermite series, ordered
from lowest to highest degree.
Parameters
----------
pol : array_like
1-D array containing the polynomial coefficients
Returns
-------
c : ndarray
1-D array containing the coefficients of the equivalent Hermite
series.
See Also
--------
herm2poly
Notes
-----
The easy way to do conversions between polynomial basis sets
is to use the convert method of a class instance.
Examples
--------
>>> from numpy.polynomial.hermite import poly2herm
>>> poly2herm(np.arange(4))
array([ 1. , 2.75 , 0.5 , 0.375])
"""
[pol] = pu.as_series([pol])
deg = len(pol) - 1
res = 0
for i in range(deg, -1, -1):
res = hermadd(hermmulx(res), pol[i])
return res
def herm2poly(c):
"""
Convert a Hermite series to a polynomial.
Convert an array representing the coefficients of a Hermite series,
ordered from lowest degree to highest, to an array of the coefficients
of the equivalent polynomial (relative to the "standard" basis) ordered
from lowest to highest degree.
Parameters
----------
c : array_like
1-D array containing the Hermite series coefficients, ordered
from lowest order term to highest.
Returns
-------
pol : ndarray
1-D array containing the coefficients of the equivalent polynomial
(relative to the "standard" basis) ordered from lowest order term
to highest.
See Also
--------
poly2herm
Notes
-----
The easy way to do conversions between polynomial basis sets
is to use the convert method of a class instance.
Examples
--------
>>> from numpy.polynomial.hermite import herm2poly
>>> herm2poly([ 1. , 2.75 , 0.5 , 0.375])
array([ 0., 1., 2., 3.])
"""
from .polynomial import polyadd, polysub, polymulx
[c] = pu.as_series([c])
n = len(c)
if n == 1:
return c
if n == 2:
c[1] *= 2
return c
else:
c0 = c[-2]
c1 = c[-1]
# i is the current degree of c1
for i in range(n - 1, 1, -1):
tmp = c0
c0 = polysub(c[i - 2], c1*(2*(i - 1)))
c1 = polyadd(tmp, polymulx(c1)*2)
return polyadd(c0, polymulx(c1)*2)
#
# These are constant arrays are of integer type so as to be compatible
# with the widest range of other types, such as Decimal.
#
# Hermite
hermdomain = np.array([-1, 1])
# Hermite coefficients representing zero.
hermzero = np.array([0])
# Hermite coefficients representing one.
hermone = np.array([1])
# Hermite coefficients representing the identity x.
hermx = np.array([0, 1/2])
def hermline(off, scl):
"""
Hermite series whose graph is a straight line.
Parameters
----------
off, scl : scalars
The specified line is given by ``off + scl*x``.
Returns
-------
y : ndarray
This module's representation of the Hermite series for
``off + scl*x``.
See Also
--------
polyline, chebline
Examples
--------
>>> from numpy.polynomial.hermite import hermline, hermval
>>> hermval(0,hermline(3, 2))
3.0
>>> hermval(1,hermline(3, 2))
5.0
"""
if scl != 0:
return np.array([off, scl/2])
else:
return np.array([off])
def hermfromroots(roots):
"""
Generate a Hermite series with given roots.
The function returns the coefficients of the polynomial
.. math:: p(x) = (x - r_0) * (x - r_1) * ... * (x - r_n),
in Hermite form, where the `r_n` are the roots specified in `roots`.
If a zero has multiplicity n, then it must appear in `roots` n times.
For instance, if 2 is a root of multiplicity three and 3 is a root of
multiplicity 2, then `roots` looks something like [2, 2, 2, 3, 3]. The
roots can appear in any order.
If the returned coefficients are `c`, then
.. math:: p(x) = c_0 + c_1 * H_1(x) + ... + c_n * H_n(x)
The coefficient of the last term is not generally 1 for monic
polynomials in Hermite form.
Parameters
----------
roots : array_like
Sequence containing the roots.
Returns
-------
out : ndarray
1-D array of coefficients. If all roots are real then `out` is a
real array, if some of the roots are complex, then `out` is complex
even if all the coefficients in the result are real (see Examples
below).
See Also
--------
polyfromroots, legfromroots, lagfromroots, chebfromroots,
hermefromroots.
Examples
--------
>>> from numpy.polynomial.hermite import hermfromroots, hermval
>>> coef = hermfromroots((-1, 0, 1))
>>> hermval((-1, 0, 1), coef)
array([ 0., 0., 0.])
>>> coef = hermfromroots((-1j, 1j))
>>> hermval((-1j, 1j), coef)
array([ 0.+0.j, 0.+0.j])
"""
if len(roots) == 0:
return np.ones(1)
else:
[roots] = pu.as_series([roots], trim=False)
roots.sort()
p = [hermline(-r, 1) for r in roots]
n = len(p)
while n > 1:
m, r = divmod(n, 2)
tmp = [hermmul(p[i], p[i+m]) for i in range(m)]
if r:
tmp[0] = hermmul(tmp[0], p[-1])
p = tmp
n = m
return p[0]
def hermadd(c1, c2):
"""
Add one Hermite series to another.
Returns the sum of two Hermite series `c1` + `c2`. The arguments
are sequences of coefficients ordered from lowest order term to
highest, i.e., [1,2,3] represents the series ``P_0 + 2*P_1 + 3*P_2``.
Parameters
----------
c1, c2 : array_like
1-D arrays of Hermite series coefficients ordered from low to
high.
Returns
-------
out : ndarray
Array representing the Hermite series of their sum.
See Also
--------
hermsub, hermmul, hermdiv, hermpow
Notes
-----
Unlike multiplication, division, etc., the sum of two Hermite series
is a Hermite series (without having to "reproject" the result onto
the basis set) so addition, just like that of "standard" polynomials,
is simply "component-wise."
Examples
--------
>>> from numpy.polynomial.hermite import hermadd
>>> hermadd([1, 2, 3], [1, 2, 3, 4])
array([ 2., 4., 6., 4.])
"""
# c1, c2 are trimmed copies
[c1, c2] = pu.as_series([c1, c2])
if len(c1) > len(c2):
c1[:c2.size] += c2
ret = c1
else:
c2[:c1.size] += c1
ret = c2
return pu.trimseq(ret)
def hermsub(c1, c2):
"""
Subtract one Hermite series from another.
Returns the difference of two Hermite series `c1` - `c2`. The
sequences of coefficients are from lowest order term to highest, i.e.,
[1,2,3] represents the series ``P_0 + 2*P_1 + 3*P_2``.
Parameters
----------
c1, c2 : array_like
1-D arrays of Hermite series coefficients ordered from low to
high.
Returns
-------
out : ndarray
Of Hermite series coefficients representing their difference.
See Also
--------
hermadd, hermmul, hermdiv, hermpow
Notes
-----
Unlike multiplication, division, etc., the difference of two Hermite
series is a Hermite series (without having to "reproject" the result
onto the basis set) so subtraction, just like that of "standard"
polynomials, is simply "component-wise."
Examples
--------
>>> from numpy.polynomial.hermite import hermsub
>>> hermsub([1, 2, 3, 4], [1, 2, 3])
array([ 0., 0., 0., 4.])
"""
# c1, c2 are trimmed copies
[c1, c2] = pu.as_series([c1, c2])
if len(c1) > len(c2):
c1[:c2.size] -= c2
ret = c1
else:
c2 = -c2
c2[:c1.size] += c1
ret = c2
return pu.trimseq(ret)
def hermmulx(c):
"""Multiply a Hermite series by x.
Multiply the Hermite series `c` by x, where x is the independent
variable.
Parameters
----------
c : array_like
1-D array of Hermite series coefficients ordered from low to
high.
Returns
-------
out : ndarray
Array representing the result of the multiplication.
Notes
-----
The multiplication uses the recursion relationship for Hermite
polynomials in the form
.. math::
xP_i(x) = (P_{i + 1}(x)/2 + i*P_{i - 1}(x))
Examples
--------
>>> from numpy.polynomial.hermite import hermmulx
>>> hermmulx([1, 2, 3])
array([ 2. , 6.5, 1. , 1.5])
"""
# c is a trimmed copy
[c] = pu.as_series([c])
# The zero series needs special treatment
if len(c) == 1 and c[0] == 0:
return c
prd = np.empty(len(c) + 1, dtype=c.dtype)
prd[0] = c[0]*0
prd[1] = c[0]/2
for i in range(1, len(c)):
prd[i + 1] = c[i]/2
prd[i - 1] += c[i]*i
return prd
def hermmul(c1, c2):
"""
Multiply one Hermite series by another.
Returns the product of two Hermite series `c1` * `c2`. The arguments
are sequences of coefficients, from lowest order "term" to highest,
e.g., [1,2,3] represents the series ``P_0 + 2*P_1 + 3*P_2``.
Parameters
----------
c1, c2 : array_like
1-D arrays of Hermite series coefficients ordered from low to
high.
Returns
-------
out : ndarray
Of Hermite series coefficients representing their product.
See Also
--------
hermadd, hermsub, hermdiv, hermpow
Notes
-----
In general, the (polynomial) product of two C-series results in terms
that are not in the Hermite polynomial basis set. Thus, to express
the product as a Hermite series, it is necessary to "reproject" the
product onto said basis set, which may produce "unintuitive" (but
correct) results; see Examples section below.
Examples
--------
>>> from numpy.polynomial.hermite import hermmul
>>> hermmul([1, 2, 3], [0, 1, 2])
array([ 52., 29., 52., 7., 6.])
"""
# s1, s2 are trimmed copies
[c1, c2] = pu.as_series([c1, c2])
if len(c1) > len(c2):
c = c2
xs = c1
else:
c = c1
xs = c2
if len(c) == 1:
c0 = c[0]*xs
c1 = 0
elif len(c) == 2:
c0 = c[0]*xs
c1 = c[1]*xs
else:
nd = len(c)
c0 = c[-2]*xs
c1 = c[-1]*xs
for i in range(3, len(c) + 1):
tmp = c0
nd = nd - 1
c0 = hermsub(c[-i]*xs, c1*(2*(nd - 1)))
c1 = hermadd(tmp, hermmulx(c1)*2)
return hermadd(c0, hermmulx(c1)*2)
def hermdiv(c1, c2):
"""
Divide one Hermite series by another.
Returns the quotient-with-remainder of two Hermite series
`c1` / `c2`. The arguments are sequences of coefficients from lowest
order "term" to highest, e.g., [1,2,3] represents the series
``P_0 + 2*P_1 + 3*P_2``.
Parameters
----------
c1, c2 : array_like
1-D arrays of Hermite series coefficients ordered from low to
high.
Returns
-------
[quo, rem] : ndarrays
Of Hermite series coefficients representing the quotient and
remainder.
See Also
--------
hermadd, hermsub, hermmul, hermpow
Notes
-----
In general, the (polynomial) division of one Hermite series by another
results in quotient and remainder terms that are not in the Hermite
polynomial basis set. Thus, to express these results as a Hermite
series, it is necessary to "reproject" the results onto the Hermite
basis set, which may produce "unintuitive" (but correct) results; see
Examples section below.
Examples
--------
>>> from numpy.polynomial.hermite import hermdiv
>>> hermdiv([ 52., 29., 52., 7., 6.], [0, 1, 2])
(array([ 1., 2., 3.]), array([ 0.]))
>>> hermdiv([ 54., 31., 52., 7., 6.], [0, 1, 2])
(array([ 1., 2., 3.]), array([ 2., 2.]))
>>> hermdiv([ 53., 30., 52., 7., 6.], [0, 1, 2])
(array([ 1., 2., 3.]), array([ 1., 1.]))
"""
# c1, c2 are trimmed copies
[c1, c2] = pu.as_series([c1, c2])
if c2[-1] == 0:
raise ZeroDivisionError()
lc1 = len(c1)
lc2 = len(c2)
if lc1 < lc2:
return c1[:1]*0, c1
elif lc2 == 1:
return c1/c2[-1], c1[:1]*0
else:
quo = np.empty(lc1 - lc2 + 1, dtype=c1.dtype)
rem = c1
for i in range(lc1 - lc2, - 1, -1):
p = hermmul([0]*i + [1], c2)
q = rem[-1]/p[-1]
rem = rem[:-1] - q*p[:-1]
quo[i] = q
return quo, pu.trimseq(rem)
def hermpow(c, pow, maxpower=16):
"""Raise a Hermite series to a power.
Returns the Hermite series `c` raised to the power `pow`. The
argument `c` is a sequence of coefficients ordered from low to high.
i.e., [1,2,3] is the series ``P_0 + 2*P_1 + 3*P_2.``
Parameters
----------
c : array_like
1-D array of Hermite series coefficients ordered from low to
high.
pow : integer
Power to which the series will be raised
maxpower : integer, optional
Maximum power allowed. This is mainly to limit growth of the series
to unmanageable size. Default is 16
Returns
-------
coef : ndarray
Hermite series of power.
See Also
--------
hermadd, hermsub, hermmul, hermdiv
Examples
--------
>>> from numpy.polynomial.hermite import hermpow
>>> hermpow([1, 2, 3], 2)
array([ 81., 52., 82., 12., 9.])
"""
# c is a trimmed copy
[c] = pu.as_series([c])
power = int(pow)
if power != pow or power < 0:
raise ValueError("Power must be a non-negative integer.")
elif maxpower is not None and power > maxpower:
raise ValueError("Power is too large")
elif power == 0:
return np.array([1], dtype=c.dtype)
elif power == 1:
return c
else:
# This can be made more efficient by using powers of two
# in the usual way.
prd = c
for i in range(2, power + 1):
prd = hermmul(prd, c)
return prd
def hermder(c, m=1, scl=1, axis=0):
"""
Differentiate a Hermite series.
Returns the Hermite series coefficients `c` differentiated `m` times
along `axis`. At each iteration the result is multiplied by `scl` (the
scaling factor is for use in a linear change of variable). The argument
`c` is an array of coefficients from low to high degree along each
axis, e.g., [1,2,3] represents the series ``1*H_0 + 2*H_1 + 3*H_2``
while [[1,2],[1,2]] represents ``1*H_0(x)*H_0(y) + 1*H_1(x)*H_0(y) +
2*H_0(x)*H_1(y) + 2*H_1(x)*H_1(y)`` if axis=0 is ``x`` and axis=1 is
``y``.
Parameters
----------
c : array_like
Array of Hermite series coefficients. If `c` is multidimensional the
different axis correspond to different variables with the degree in
each axis given by the corresponding index.
m : int, optional
Number of derivatives taken, must be non-negative. (Default: 1)
scl : scalar, optional
Each differentiation is multiplied by `scl`. The end result is
multiplication by ``scl**m``. This is for use in a linear change of
variable. (Default: 1)
axis : int, optional
Axis over which the derivative is taken. (Default: 0).
.. versionadded:: 1.7.0
Returns
-------
der : ndarray
Hermite series of the derivative.
See Also
--------
hermint
Notes
-----
In general, the result of differentiating a Hermite series does not
resemble the same operation on a power series. Thus the result of this
function may be "unintuitive," albeit correct; see Examples section
below.
Examples
--------
>>> from numpy.polynomial.hermite import hermder
>>> hermder([ 1. , 0.5, 0.5, 0.5])
array([ 1., 2., 3.])
>>> hermder([-0.5, 1./2., 1./8., 1./12., 1./16.], m=2)
array([ 1., 2., 3.])
"""
c = np.array(c, ndmin=1, copy=1)
if c.dtype.char in '?bBhHiIlLqQpP':
c = c.astype(np.double)
cnt, iaxis = [int(t) for t in [m, axis]]
if cnt != m:
raise ValueError("The order of derivation must be integer")
if cnt < 0:
raise ValueError("The order of derivation must be non-negative")
if iaxis != axis:
raise ValueError("The axis must be integer")
iaxis = normalize_axis_index(iaxis, c.ndim)
if cnt == 0:
return c
c = np.rollaxis(c, iaxis)
n = len(c)
if cnt >= n:
c = c[:1]*0
else:
for i in range(cnt):
n = n - 1
c *= scl
der = np.empty((n,) + c.shape[1:], dtype=c.dtype)
for j in range(n, 0, -1):
der[j - 1] = (2*j)*c[j]
c = der
c = np.rollaxis(c, 0, iaxis + 1)
return c
def hermint(c, m=1, k=[], lbnd=0, scl=1, axis=0):
"""
Integrate a Hermite series.
Returns the Hermite series coefficients `c` integrated `m` times from
`lbnd` along `axis`. At each iteration the resulting series is
**multiplied** by `scl` and an integration constant, `k`, is added.
The scaling factor is for use in a linear change of variable. ("Buyer
beware": note that, depending on what one is doing, one may want `scl`
to be the reciprocal of what one might expect; for more information,
see the Notes section below.) The argument `c` is an array of
coefficients from low to high degree along each axis, e.g., [1,2,3]
represents the series ``H_0 + 2*H_1 + 3*H_2`` while [[1,2],[1,2]]
represents ``1*H_0(x)*H_0(y) + 1*H_1(x)*H_0(y) + 2*H_0(x)*H_1(y) +
2*H_1(x)*H_1(y)`` if axis=0 is ``x`` and axis=1 is ``y``.
Parameters
----------
c : array_like
Array of Hermite series coefficients. If c is multidimensional the
different axis correspond to different variables with the degree in
each axis given by the corresponding index.
m : int, optional
Order of integration, must be positive. (Default: 1)
k : {[], list, scalar}, optional
Integration constant(s). The value of the first integral at
``lbnd`` is the first value in the list, the value of the second
integral at ``lbnd`` is the second value, etc. If ``k == []`` (the
default), all constants are set to zero. If ``m == 1``, a single
scalar can be given instead of a list.
lbnd : scalar, optional
The lower bound of the integral. (Default: 0)
scl : scalar, optional
Following each integration the result is *multiplied* by `scl`
before the integration constant is added. (Default: 1)
axis : int, optional
Axis over which the integral is taken. (Default: 0).
.. versionadded:: 1.7.0
Returns
-------
S : ndarray
Hermite series coefficients of the integral.
Raises
------
ValueError
If ``m < 0``, ``len(k) > m``, ``np.isscalar(lbnd) == False``, or
``np.isscalar(scl) == False``.
See Also
--------
hermder
Notes
-----
Note that the result of each integration is *multiplied* by `scl`.
Why is this important to note? Say one is making a linear change of
variable :math:`u = ax + b` in an integral relative to `x`. Then
:math:`dx = du/a`, so one will need to set `scl` equal to
:math:`1/a` - perhaps not what one would have first thought.
Also note that, in general, the result of integrating a C-series needs
to be "reprojected" onto the C-series basis set. Thus, typically,
the result of this function is "unintuitive," albeit correct; see
Examples section below.
Examples
--------
>>> from numpy.polynomial.hermite import hermint
>>> hermint([1,2,3]) # integrate once, value 0 at 0.
array([ 1. , 0.5, 0.5, 0.5])
>>> hermint([1,2,3], m=2) # integrate twice, value & deriv 0 at 0
array([-0.5 , 0.5 , 0.125 , 0.08333333, 0.0625 ])
>>> hermint([1,2,3], k=1) # integrate once, value 1 at 0.
array([ 2. , 0.5, 0.5, 0.5])
>>> hermint([1,2,3], lbnd=-1) # integrate once, value 0 at -1
array([-2. , 0.5, 0.5, 0.5])
>>> hermint([1,2,3], m=2, k=[1,2], lbnd=-1)
array([ 1.66666667, -0.5 , 0.125 , 0.08333333, 0.0625 ])
"""
c = np.array(c, ndmin=1, copy=1)
if c.dtype.char in '?bBhHiIlLqQpP':
c = c.astype(np.double)
if not np.iterable(k):
k = [k]
cnt, iaxis = [int(t) for t in [m, axis]]
if cnt != m:
raise ValueError("The order of integration must be integer")
if cnt < 0:
raise ValueError("The order of integration must be non-negative")
if len(k) > cnt:
raise ValueError("Too many integration constants")
if iaxis != axis:
raise ValueError("The axis must be integer")
iaxis = normalize_axis_index(iaxis, c.ndim)
if cnt == 0:
return c
c = np.rollaxis(c, iaxis)
k = list(k) + [0]*(cnt - len(k))
for i in range(cnt):
n = len(c)
c *= scl
if n == 1 and np.all(c[0] == 0):
c[0] += k[i]
else:
tmp = np.empty((n + 1,) + c.shape[1:], dtype=c.dtype)
tmp[0] = c[0]*0
tmp[1] = c[0]/2
for j in range(1, n):
tmp[j + 1] = c[j]/(2*(j + 1))
tmp[0] += k[i] - hermval(lbnd, tmp)
c = tmp
c = np.rollaxis(c, 0, iaxis + 1)
return c
def hermval(x, c, tensor=True):
"""
Evaluate an Hermite series at points x.
If `c` is of length `n + 1`, this function returns the value:
.. math:: p(x) = c_0 * H_0(x) + c_1 * H_1(x) + ... + c_n * H_n(x)
The parameter `x` is converted to an array only if it is a tuple or a
list, otherwise it is treated as a scalar. In either case, either `x`
or its elements must support multiplication and addition both with
themselves and with the elements of `c`.
If `c` is a 1-D array, then `p(x)` will have the same shape as `x`. If
`c` is multidimensional, then the shape of the result depends on the
value of `tensor`. If `tensor` is true the shape will be c.shape[1:] +
x.shape. If `tensor` is false the shape will be c.shape[1:]. Note that
scalars have shape (,).
Trailing zeros in the coefficients will be used in the evaluation, so
they should be avoided if efficiency is a concern.
Parameters
----------
x : array_like, compatible object
If `x` is a list or tuple, it is converted to an ndarray, otherwise
it is left unchanged and treated as a scalar. In either case, `x`
or its elements must support addition and multiplication with
with themselves and with the elements of `c`.
c : array_like
Array of coefficients ordered so that the coefficients for terms of
degree n are contained in c[n]. If `c` is multidimensional the
remaining indices enumerate multiple polynomials. In the two
dimensional case the coefficients may be thought of as stored in
the columns of `c`.
tensor : boolean, optional
If True, the shape of the coefficient array is extended with ones
on the right, one for each dimension of `x`. Scalars have dimension 0
for this action. The result is that every column of coefficients in
`c` is evaluated for every element of `x`. If False, `x` is broadcast
over the columns of `c` for the evaluation. This keyword is useful
when `c` is multidimensional. The default value is True.
.. versionadded:: 1.7.0
Returns
-------
values : ndarray, algebra_like
The shape of the return value is described above.
See Also
--------
hermval2d, hermgrid2d, hermval3d, hermgrid3d
Notes
-----
The evaluation uses Clenshaw recursion, aka synthetic division.
Examples
--------
>>> from numpy.polynomial.hermite import hermval
>>> coef = [1,2,3]
>>> hermval(1, coef)
11.0
>>> hermval([[1,2],[3,4]], coef)
array([[ 11., 51.],
[ 115., 203.]])
"""
c = np.array(c, ndmin=1, copy=0)
if c.dtype.char in '?bBhHiIlLqQpP':
c = c.astype(np.double)
if isinstance(x, (tuple, list)):
x = np.asarray(x)
if isinstance(x, np.ndarray) and tensor:
c = c.reshape(c.shape + (1,)*x.ndim)
x2 = x*2
if len(c) == 1:
c0 = c[0]
c1 = 0
elif len(c) == 2:
c0 = c[0]
c1 = c[1]
else:
nd = len(c)
c0 = c[-2]
c1 = c[-1]
for i in range(3, len(c) + 1):
tmp = c0
nd = nd - 1
c0 = c[-i] - c1*(2*(nd - 1))
c1 = tmp + c1*x2
return c0 + c1*x2
def hermval2d(x, y, c):
"""
Evaluate a 2-D Hermite series at points (x, y).
This function returns the values:
.. math:: p(x,y) = \\sum_{i,j} c_{i,j} * H_i(x) * H_j(y)
The parameters `x` and `y` are converted to arrays only if they are
tuples or a lists, otherwise they are treated as a scalars and they
must have the same shape after conversion. In either case, either `x`
and `y` or their elements must support multiplication and addition both
with themselves and with the elements of `c`.
If `c` is a 1-D array a one is implicitly appended to its shape to make
it 2-D. The shape of the result will be c.shape[2:] + x.shape.
Parameters
----------
x, y : array_like, compatible objects
The two dimensional series is evaluated at the points `(x, y)`,
where `x` and `y` must have the same shape. If `x` or `y` is a list
or tuple, it is first converted to an ndarray, otherwise it is left
unchanged and if it isn't an ndarray it is treated as a scalar.
c : array_like
Array of coefficients ordered so that the coefficient of the term
of multi-degree i,j is contained in ``c[i,j]``. If `c` has
dimension greater than two the remaining indices enumerate multiple
sets of coefficients.
Returns
-------
values : ndarray, compatible object
The values of the two dimensional polynomial at points formed with
pairs of corresponding values from `x` and `y`.
See Also
--------
hermval, hermgrid2d, hermval3d, hermgrid3d
Notes
-----
.. versionadded:: 1.7.0
"""
try:
x, y = np.array((x, y), copy=0)
except:
raise ValueError('x, y are incompatible')
c = hermval(x, c)
c = hermval(y, c, tensor=False)
return c
def hermgrid2d(x, y, c):
"""
Evaluate a 2-D Hermite series on the Cartesian product of x and y.
This function returns the values:
.. math:: p(a,b) = \\sum_{i,j} c_{i,j} * H_i(a) * H_j(b)
where the points `(a, b)` consist of all pairs formed by taking
`a` from `x` and `b` from `y`. The resulting points form a grid with
`x` in the first dimension and `y` in the second.
The parameters `x` and `y` are converted to arrays only if they are
tuples or a lists, otherwise they are treated as a scalars. In either
case, either `x` and `y` or their elements must support multiplication
and addition both with themselves and with the elements of `c`.
If `c` has fewer than two dimensions, ones are implicitly appended to
its shape to make it 2-D. The shape of the result will be c.shape[2:] +
x.shape.
Parameters
----------
x, y : array_like, compatible objects
The two dimensional series is evaluated at the points in the
Cartesian product of `x` and `y`. If `x` or `y` is a list or
tuple, it is first converted to an ndarray, otherwise it is left
unchanged and, if it isn't an ndarray, it is treated as a scalar.
c : array_like
Array of coefficients ordered so that the coefficients for terms of
degree i,j are contained in ``c[i,j]``. If `c` has dimension
greater than two the remaining indices enumerate multiple sets of
coefficients.
Returns
-------
values : ndarray, compatible object
The values of the two dimensional polynomial at points in the Cartesian
product of `x` and `y`.
See Also
--------
hermval, hermval2d, hermval3d, hermgrid3d
Notes
-----
.. versionadded:: 1.7.0
"""
c = hermval(x, c)
c = hermval(y, c)
return c
def hermval3d(x, y, z, c):
"""
Evaluate a 3-D Hermite series at points (x, y, z).
This function returns the values:
.. math:: p(x,y,z) = \\sum_{i,j,k} c_{i,j,k} * H_i(x) * H_j(y) * H_k(z)
The parameters `x`, `y`, and `z` are converted to arrays only if
they are tuples or a lists, otherwise they are treated as a scalars and
they must have the same shape after conversion. In either case, either
`x`, `y`, and `z` or their elements must support multiplication and
addition both with themselves and with the elements of `c`.
If `c` has fewer than 3 dimensions, ones are implicitly appended to its
shape to make it 3-D. The shape of the result will be c.shape[3:] +
x.shape.
Parameters
----------
x, y, z : array_like, compatible object
The three dimensional series is evaluated at the points
`(x, y, z)`, where `x`, `y`, and `z` must have the same shape. If
any of `x`, `y`, or `z` is a list or tuple, it is first converted
to an ndarray, otherwise it is left unchanged and if it isn't an
ndarray it is treated as a scalar.
c : array_like
Array of coefficients ordered so that the coefficient of the term of
multi-degree i,j,k is contained in ``c[i,j,k]``. If `c` has dimension
greater than 3 the remaining indices enumerate multiple sets of
coefficients.
Returns
-------
values : ndarray, compatible object
The values of the multidimensional polynomial on points formed with
triples of corresponding values from `x`, `y`, and `z`.
See Also
--------
hermval, hermval2d, hermgrid2d, hermgrid3d
Notes
-----
.. versionadded:: 1.7.0
"""
try:
x, y, z = np.array((x, y, z), copy=0)
except:
raise ValueError('x, y, z are incompatible')
c = hermval(x, c)
c = hermval(y, c, tensor=False)
c = hermval(z, c, tensor=False)
return c
def hermgrid3d(x, y, z, c):
"""
Evaluate a 3-D Hermite series on the Cartesian product of x, y, and z.
This function returns the values:
.. math:: p(a,b,c) = \\sum_{i,j,k} c_{i,j,k} * H_i(a) * H_j(b) * H_k(c)
where the points `(a, b, c)` consist of all triples formed by taking
`a` from `x`, `b` from `y`, and `c` from `z`. The resulting points form
a grid with `x` in the first dimension, `y` in the second, and `z` in
the third.
The parameters `x`, `y`, and `z` are converted to arrays only if they
are tuples or a lists, otherwise they are treated as a scalars. In
either case, either `x`, `y`, and `z` or their elements must support
multiplication and addition both with themselves and with the elements
of `c`.
If `c` has fewer than three dimensions, ones are implicitly appended to
its shape to make it 3-D. The shape of the result will be c.shape[3:] +
x.shape + y.shape + z.shape.
Parameters
----------
x, y, z : array_like, compatible objects
The three dimensional series is evaluated at the points in the
Cartesian product of `x`, `y`, and `z`. If `x`,`y`, or `z` is a
list or tuple, it is first converted to an ndarray, otherwise it is
left unchanged and, if it isn't an ndarray, it is treated as a
scalar.
c : array_like
Array of coefficients ordered so that the coefficients for terms of
degree i,j are contained in ``c[i,j]``. If `c` has dimension
greater than two the remaining indices enumerate multiple sets of
coefficients.
Returns
-------
values : ndarray, compatible object
The values of the two dimensional polynomial at points in the Cartesian
product of `x` and `y`.
See Also
--------
hermval, hermval2d, hermgrid2d, hermval3d
Notes
-----
.. versionadded:: 1.7.0
"""
c = hermval(x, c)
c = hermval(y, c)
c = hermval(z, c)
return c
def hermvander(x, deg):
"""Pseudo-Vandermonde matrix of given degree.
Returns the pseudo-Vandermonde matrix of degree `deg` and sample points
`x`. The pseudo-Vandermonde matrix is defined by
.. math:: V[..., i] = H_i(x),
where `0 <= i <= deg`. The leading indices of `V` index the elements of
`x` and the last index is the degree of the Hermite polynomial.
If `c` is a 1-D array of coefficients of length `n + 1` and `V` is the
array ``V = hermvander(x, n)``, then ``np.dot(V, c)`` and
``hermval(x, c)`` are the same up to roundoff. This equivalence is
useful both for least squares fitting and for the evaluation of a large
number of Hermite series of the same degree and sample points.
Parameters
----------
x : array_like
Array of points. The dtype is converted to float64 or complex128
depending on whether any of the elements are complex. If `x` is
scalar it is converted to a 1-D array.
deg : int
Degree of the resulting matrix.
Returns
-------
vander : ndarray
The pseudo-Vandermonde matrix. The shape of the returned matrix is
``x.shape + (deg + 1,)``, where The last index is the degree of the
corresponding Hermite polynomial. The dtype will be the same as
the converted `x`.
Examples
--------
>>> from numpy.polynomial.hermite import hermvander
>>> x = np.array([-1, 0, 1])
>>> hermvander(x, 3)
array([[ 1., -2., 2., 4.],
[ 1., 0., -2., -0.],
[ 1., 2., 2., -4.]])
"""
ideg = int(deg)
if ideg != deg:
raise ValueError("deg must be integer")
if ideg < 0:
raise ValueError("deg must be non-negative")
x = np.array(x, copy=0, ndmin=1) + 0.0
dims = (ideg + 1,) + x.shape
dtyp = x.dtype
v = np.empty(dims, dtype=dtyp)
v[0] = x*0 + 1
if ideg > 0:
x2 = x*2
v[1] = x2
for i in range(2, ideg + 1):
v[i] = (v[i-1]*x2 - v[i-2]*(2*(i - 1)))
return np.rollaxis(v, 0, v.ndim)
def hermvander2d(x, y, deg):
"""Pseudo-Vandermonde matrix of given degrees.
Returns the pseudo-Vandermonde matrix of degrees `deg` and sample
points `(x, y)`. The pseudo-Vandermonde matrix is defined by
.. math:: V[..., (deg[1] + 1)*i + j] = H_i(x) * H_j(y),
where `0 <= i <= deg[0]` and `0 <= j <= deg[1]`. The leading indices of
`V` index the points `(x, y)` and the last index encodes the degrees of
the Hermite polynomials.
If ``V = hermvander2d(x, y, [xdeg, ydeg])``, then the columns of `V`
correspond to the elements of a 2-D coefficient array `c` of shape
(xdeg + 1, ydeg + 1) in the order
.. math:: c_{00}, c_{01}, c_{02} ... , c_{10}, c_{11}, c_{12} ...
and ``np.dot(V, c.flat)`` and ``hermval2d(x, y, c)`` will be the same
up to roundoff. This equivalence is useful both for least squares
fitting and for the evaluation of a large number of 2-D Hermite
series of the same degrees and sample points.
Parameters
----------
x, y : array_like
Arrays of point coordinates, all of the same shape. The dtypes
will be converted to either float64 or complex128 depending on
whether any of the elements are complex. Scalars are converted to 1-D
arrays.
deg : list of ints
List of maximum degrees of the form [x_deg, y_deg].
Returns
-------
vander2d : ndarray
The shape of the returned matrix is ``x.shape + (order,)``, where
:math:`order = (deg[0]+1)*(deg([1]+1)`. The dtype will be the same
as the converted `x` and `y`.
See Also
--------
hermvander, hermvander3d. hermval2d, hermval3d
Notes
-----
.. versionadded:: 1.7.0
"""
ideg = [int(d) for d in deg]
is_valid = [id == d and id >= 0 for id, d in zip(ideg, deg)]
if is_valid != [1, 1]:
raise ValueError("degrees must be non-negative integers")
degx, degy = ideg
x, y = np.array((x, y), copy=0) + 0.0
vx = hermvander(x, degx)
vy = hermvander(y, degy)
v = vx[..., None]*vy[..., None,:]
return v.reshape(v.shape[:-2] + (-1,))
def hermvander3d(x, y, z, deg):
"""Pseudo-Vandermonde matrix of given degrees.
Returns the pseudo-Vandermonde matrix of degrees `deg` and sample
points `(x, y, z)`. If `l, m, n` are the given degrees in `x, y, z`,
then The pseudo-Vandermonde matrix is defined by
.. math:: V[..., (m+1)(n+1)i + (n+1)j + k] = H_i(x)*H_j(y)*H_k(z),
where `0 <= i <= l`, `0 <= j <= m`, and `0 <= j <= n`. The leading
indices of `V` index the points `(x, y, z)` and the last index encodes
the degrees of the Hermite polynomials.
If ``V = hermvander3d(x, y, z, [xdeg, ydeg, zdeg])``, then the columns
of `V` correspond to the elements of a 3-D coefficient array `c` of
shape (xdeg + 1, ydeg + 1, zdeg + 1) in the order
.. math:: c_{000}, c_{001}, c_{002},... , c_{010}, c_{011}, c_{012},...
and ``np.dot(V, c.flat)`` and ``hermval3d(x, y, z, c)`` will be the
same up to roundoff. This equivalence is useful both for least squares
fitting and for the evaluation of a large number of 3-D Hermite
series of the same degrees and sample points.
Parameters
----------
x, y, z : array_like
Arrays of point coordinates, all of the same shape. The dtypes will
be converted to either float64 or complex128 depending on whether
any of the elements are complex. Scalars are converted to 1-D
arrays.
deg : list of ints
List of maximum degrees of the form [x_deg, y_deg, z_deg].
Returns
-------
vander3d : ndarray
The shape of the returned matrix is ``x.shape + (order,)``, where
:math:`order = (deg[0]+1)*(deg([1]+1)*(deg[2]+1)`. The dtype will
be the same as the converted `x`, `y`, and `z`.
See Also
--------
hermvander, hermvander3d. hermval2d, hermval3d
Notes
-----
.. versionadded:: 1.7.0
"""
ideg = [int(d) for d in deg]
is_valid = [id == d and id >= 0 for id, d in zip(ideg, deg)]
if is_valid != [1, 1, 1]:
raise ValueError("degrees must be non-negative integers")
degx, degy, degz = ideg
x, y, z = np.array((x, y, z), copy=0) + 0.0
vx = hermvander(x, degx)
vy = hermvander(y, degy)
vz = hermvander(z, degz)
v = vx[..., None, None]*vy[..., None,:, None]*vz[..., None, None,:]
return v.reshape(v.shape[:-3] + (-1,))
def hermfit(x, y, deg, rcond=None, full=False, w=None):
"""
Least squares fit of Hermite series to data.
Return the coefficients of a Hermite series of degree `deg` that is the
least squares fit to the data values `y` given at points `x`. If `y` is
1-D the returned coefficients will also be 1-D. If `y` is 2-D multiple
fits are done, one for each column of `y`, and the resulting
coefficients are stored in the corresponding columns of a 2-D return.
The fitted polynomial(s) are in the form
.. math:: p(x) = c_0 + c_1 * H_1(x) + ... + c_n * H_n(x),
where `n` is `deg`.
Parameters
----------
x : array_like, shape (M,)
x-coordinates of the M sample points ``(x[i], y[i])``.
y : array_like, shape (M,) or (M, K)
y-coordinates of the sample points. Several data sets of sample
points sharing the same x-coordinates can be fitted at once by
passing in a 2D-array that contains one dataset per column.
deg : int or 1-D array_like
Degree(s) of the fitting polynomials. If `deg` is a single integer
all terms up to and including the `deg`'th term are included in the
fit. For NumPy versions >= 1.11.0 a list of integers specifying the
degrees of the terms to include may be used instead.
rcond : float, optional
Relative condition number of the fit. Singular values smaller than
this relative to the largest singular value will be ignored. The
default value is len(x)*eps, where eps is the relative precision of
the float type, about 2e-16 in most cases.
full : bool, optional
Switch determining nature of return value. When it is False (the
default) just the coefficients are returned, when True diagnostic
information from the singular value decomposition is also returned.
w : array_like, shape (`M`,), optional
Weights. If not None, the contribution of each point
``(x[i],y[i])`` to the fit is weighted by `w[i]`. Ideally the
weights are chosen so that the errors of the products ``w[i]*y[i]``
all have the same variance. The default value is None.
Returns
-------
coef : ndarray, shape (M,) or (M, K)
Hermite coefficients ordered from low to high. If `y` was 2-D,
the coefficients for the data in column k of `y` are in column
`k`.
[residuals, rank, singular_values, rcond] : list
These values are only returned if `full` = True
resid -- sum of squared residuals of the least squares fit
rank -- the numerical rank of the scaled Vandermonde matrix
sv -- singular values of the scaled Vandermonde matrix
rcond -- value of `rcond`.
For more details, see `linalg.lstsq`.
Warns
-----
RankWarning
The rank of the coefficient matrix in the least-squares fit is
deficient. The warning is only raised if `full` = False. The
warnings can be turned off by
>>> import warnings
>>> warnings.simplefilter('ignore', RankWarning)
See Also
--------
chebfit, legfit, lagfit, polyfit, hermefit
hermval : Evaluates a Hermite series.
hermvander : Vandermonde matrix of Hermite series.
hermweight : Hermite weight function
linalg.lstsq : Computes a least-squares fit from the matrix.
scipy.interpolate.UnivariateSpline : Computes spline fits.
Notes
-----
The solution is the coefficients of the Hermite series `p` that
minimizes the sum of the weighted squared errors
.. math:: E = \\sum_j w_j^2 * |y_j - p(x_j)|^2,
where the :math:`w_j` are the weights. This problem is solved by
setting up the (typically) overdetermined matrix equation
.. math:: V(x) * c = w * y,
where `V` is the weighted pseudo Vandermonde matrix of `x`, `c` are the
coefficients to be solved for, `w` are the weights, `y` are the
observed values. This equation is then solved using the singular value
decomposition of `V`.
If some of the singular values of `V` are so small that they are
neglected, then a `RankWarning` will be issued. This means that the
coefficient values may be poorly determined. Using a lower order fit
will usually get rid of the warning. The `rcond` parameter can also be
set to a value smaller than its default, but the resulting fit may be
spurious and have large contributions from roundoff error.
Fits using Hermite series are probably most useful when the data can be
approximated by ``sqrt(w(x)) * p(x)``, where `w(x)` is the Hermite
weight. In that case the weight ``sqrt(w(x[i])`` should be used
together with data values ``y[i]/sqrt(w(x[i])``. The weight function is
available as `hermweight`.
References
----------
.. [1] Wikipedia, "Curve fitting",
http://en.wikipedia.org/wiki/Curve_fitting
Examples
--------
>>> from numpy.polynomial.hermite import hermfit, hermval
>>> x = np.linspace(-10, 10)
>>> err = np.random.randn(len(x))/10
>>> y = hermval(x, [1, 2, 3]) + err
>>> hermfit(x, y, 2)
array([ 0.97902637, 1.99849131, 3.00006 ])
"""
x = np.asarray(x) + 0.0
y = np.asarray(y) + 0.0
deg = np.asarray(deg)
# check arguments.
if deg.ndim > 1 or deg.dtype.kind not in 'iu' or deg.size == 0:
raise TypeError("deg must be an int or non-empty 1-D array of int")
if deg.min() < 0:
raise ValueError("expected deg >= 0")
if x.ndim != 1:
raise TypeError("expected 1D vector for x")
if x.size == 0:
raise TypeError("expected non-empty vector for x")
if y.ndim < 1 or y.ndim > 2:
raise TypeError("expected 1D or 2D array for y")
if len(x) != len(y):
raise TypeError("expected x and y to have same length")
if deg.ndim == 0:
lmax = deg
order = lmax + 1
van = hermvander(x, lmax)
else:
deg = np.sort(deg)
lmax = deg[-1]
order = len(deg)
van = hermvander(x, lmax)[:, deg]
# set up the least squares matrices in transposed form
lhs = van.T
rhs = y.T
if w is not None:
w = np.asarray(w) + 0.0
if w.ndim != 1:
raise TypeError("expected 1D vector for w")
if len(x) != len(w):
raise TypeError("expected x and w to have same length")
# apply weights. Don't use inplace operations as they
# can cause problems with NA.
lhs = lhs * w
rhs = rhs * w
# set rcond
if rcond is None:
rcond = len(x)*np.finfo(x.dtype).eps
# Determine the norms of the design matrix columns.
if issubclass(lhs.dtype.type, np.complexfloating):
scl = np.sqrt((np.square(lhs.real) + np.square(lhs.imag)).sum(1))
else:
scl = np.sqrt(np.square(lhs).sum(1))
scl[scl == 0] = 1
# Solve the least squares problem.
c, resids, rank, s = la.lstsq(lhs.T/scl, rhs.T, rcond)
c = (c.T/scl).T
# Expand c to include non-fitted coefficients which are set to zero
if deg.ndim > 0:
if c.ndim == 2:
cc = np.zeros((lmax+1, c.shape[1]), dtype=c.dtype)
else:
cc = np.zeros(lmax+1, dtype=c.dtype)
cc[deg] = c
c = cc
# warn on rank reduction
if rank != order and not full:
msg = "The fit may be poorly conditioned"
warnings.warn(msg, pu.RankWarning, stacklevel=2)
if full:
return c, [resids, rank, s, rcond]
else:
return c
def hermcompanion(c):
"""Return the scaled companion matrix of c.
The basis polynomials are scaled so that the companion matrix is
symmetric when `c` is an Hermite basis polynomial. This provides
better eigenvalue estimates than the unscaled case and for basis
polynomials the eigenvalues are guaranteed to be real if
`numpy.linalg.eigvalsh` is used to obtain them.
Parameters
----------
c : array_like
1-D array of Hermite series coefficients ordered from low to high
degree.
Returns
-------
mat : ndarray
Scaled companion matrix of dimensions (deg, deg).
Notes
-----
.. versionadded:: 1.7.0
"""
# c is a trimmed copy
[c] = pu.as_series([c])
if len(c) < 2:
raise ValueError('Series must have maximum degree of at least 1.')
if len(c) == 2:
return np.array([[-.5*c[0]/c[1]]])
n = len(c) - 1
mat = np.zeros((n, n), dtype=c.dtype)
scl = np.hstack((1., 1./np.sqrt(2.*np.arange(n - 1, 0, -1))))
scl = np.multiply.accumulate(scl)[::-1]
top = mat.reshape(-1)[1::n+1]
bot = mat.reshape(-1)[n::n+1]
top[...] = np.sqrt(.5*np.arange(1, n))
bot[...] = top
mat[:, -1] -= scl*c[:-1]/(2.0*c[-1])
return mat
def hermroots(c):
"""
Compute the roots of a Hermite series.
Return the roots (a.k.a. "zeros") of the polynomial
.. math:: p(x) = \\sum_i c[i] * H_i(x).
Parameters
----------
c : 1-D array_like
1-D array of coefficients.
Returns
-------
out : ndarray
Array of the roots of the series. If all the roots are real,
then `out` is also real, otherwise it is complex.
See Also
--------
polyroots, legroots, lagroots, chebroots, hermeroots
Notes
-----
The root estimates are obtained as the eigenvalues of the companion
matrix, Roots far from the origin of the complex plane may have large
errors due to the numerical instability of the series for such
values. Roots with multiplicity greater than 1 will also show larger
errors as the value of the series near such points is relatively
insensitive to errors in the roots. Isolated roots near the origin can
be improved by a few iterations of Newton's method.
The Hermite series basis polynomials aren't powers of `x` so the
results of this function may seem unintuitive.
Examples
--------
>>> from numpy.polynomial.hermite import hermroots, hermfromroots
>>> coef = hermfromroots([-1, 0, 1])
>>> coef
array([ 0. , 0.25 , 0. , 0.125])
>>> hermroots(coef)
array([ -1.00000000e+00, -1.38777878e-17, 1.00000000e+00])
"""
# c is a trimmed copy
[c] = pu.as_series([c])
if len(c) <= 1:
return np.array([], dtype=c.dtype)
if len(c) == 2:
return np.array([-.5*c[0]/c[1]])
m = hermcompanion(c)
r = la.eigvals(m)
r.sort()
return r
def _normed_hermite_n(x, n):
"""
Evaluate a normalized Hermite polynomial.
Compute the value of the normalized Hermite polynomial of degree ``n``
at the points ``x``.
Parameters
----------
x : ndarray of double.
Points at which to evaluate the function
n : int
Degree of the normalized Hermite function to be evaluated.
Returns
-------
values : ndarray
The shape of the return value is described above.
Notes
-----
.. versionadded:: 1.10.0
This function is needed for finding the Gauss points and integration
weights for high degrees. The values of the standard Hermite functions
overflow when n >= 207.
"""
if n == 0:
return np.ones(x.shape)/np.sqrt(np.sqrt(np.pi))
c0 = 0.
c1 = 1./np.sqrt(np.sqrt(np.pi))
nd = float(n)
for i in range(n - 1):
tmp = c0
c0 = -c1*np.sqrt((nd - 1.)/nd)
c1 = tmp + c1*x*np.sqrt(2./nd)
nd = nd - 1.0
return c0 + c1*x*np.sqrt(2)
def hermgauss(deg):
"""
Gauss-Hermite quadrature.
Computes the sample points and weights for Gauss-Hermite quadrature.
These sample points and weights will correctly integrate polynomials of
degree :math:`2*deg - 1` or less over the interval :math:`[-\\inf, \\inf]`
with the weight function :math:`f(x) = \\exp(-x^2)`.
Parameters
----------
deg : int
Number of sample points and weights. It must be >= 1.
Returns
-------
x : ndarray
1-D ndarray containing the sample points.
y : ndarray
1-D ndarray containing the weights.
Notes
-----
.. versionadded:: 1.7.0
The results have only been tested up to degree 100, higher degrees may
be problematic. The weights are determined by using the fact that
.. math:: w_k = c / (H'_n(x_k) * H_{n-1}(x_k))
where :math:`c` is a constant independent of :math:`k` and :math:`x_k`
is the k'th root of :math:`H_n`, and then scaling the results to get
the right value when integrating 1.
"""
ideg = int(deg)
if ideg != deg or ideg < 1:
raise ValueError("deg must be a non-negative integer")
# first approximation of roots. We use the fact that the companion
# matrix is symmetric in this case in order to obtain better zeros.
c = np.array([0]*deg + [1], dtype=np.float64)
m = hermcompanion(c)
x = la.eigvalsh(m)
# improve roots by one application of Newton
dy = _normed_hermite_n(x, ideg)
df = _normed_hermite_n(x, ideg - 1) * np.sqrt(2*ideg)
x -= dy/df
# compute the weights. We scale the factor to avoid possible numerical
# overflow.
fm = _normed_hermite_n(x, ideg - 1)
fm /= np.abs(fm).max()
w = 1/(fm * fm)
# for Hermite we can also symmetrize
w = (w + w[::-1])/2
x = (x - x[::-1])/2
# scale w to get the right value
w *= np.sqrt(np.pi) / w.sum()
return x, w
def hermweight(x):
"""
Weight function of the Hermite polynomials.
The weight function is :math:`\\exp(-x^2)` and the interval of
integration is :math:`[-\\inf, \\inf]`. the Hermite polynomials are
orthogonal, but not normalized, with respect to this weight function.
Parameters
----------
x : array_like
Values at which the weight function will be computed.
Returns
-------
w : ndarray
The weight function at `x`.
Notes
-----
.. versionadded:: 1.7.0
"""
w = np.exp(-x**2)
return w
#
# Hermite series class
#
class Hermite(ABCPolyBase):
"""An Hermite series class.
The Hermite class provides the standard Python numerical methods
'+', '-', '*', '//', '%', 'divmod', '**', and '()' as well as the
attributes and methods listed in the `ABCPolyBase` documentation.
Parameters
----------
coef : array_like
Hermite coefficients in order of increasing degree, i.e,
``(1, 2, 3)`` gives ``1*H_0(x) + 2*H_1(X) + 3*H_2(x)``.
domain : (2,) array_like, optional
Domain to use. The interval ``[domain[0], domain[1]]`` is mapped
to the interval ``[window[0], window[1]]`` by shifting and scaling.
The default value is [-1, 1].
window : (2,) array_like, optional
Window, see `domain` for its use. The default value is [-1, 1].
.. versionadded:: 1.6.0
"""
# Virtual Functions
_add = staticmethod(hermadd)
_sub = staticmethod(hermsub)
_mul = staticmethod(hermmul)
_div = staticmethod(hermdiv)
_pow = staticmethod(hermpow)
_val = staticmethod(hermval)
_int = staticmethod(hermint)
_der = staticmethod(hermder)
_fit = staticmethod(hermfit)
_line = staticmethod(hermline)
_roots = staticmethod(hermroots)
_fromroots = staticmethod(hermfromroots)
# Virtual properties
nickname = 'herm'
domain = np.array(hermdomain)
window = np.array(hermdomain)
|
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1
] |
thefinn93/CouchPotatoServer
|
libs/requests/packages/chardet/big5freq.py
|
323
|
82588
|
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
# Big5 frequency table
# by Taiwan's Mandarin Promotion Council
# <http://www.edu.tw:81/mandr/>
#
# 128 --> 0.42261
# 256 --> 0.57851
# 512 --> 0.74851
# 1024 --> 0.89384
# 2048 --> 0.97583
#
# Ideal Distribution Ratio = 0.74851/(1-0.74851) =2.98
# Random Distribution Ration = 512/(5401-512)=0.105
#
# Typical Distribution Ratio about 25% of Ideal one, still much higher than RDR
BIG5_TYPICAL_DISTRIBUTION_RATIO = 0.75
#Char to FreqOrder table
BIG5_TABLE_SIZE = 5376
Big5CharToFreqOrder = ( \
1,1801,1506, 255,1431, 198, 9, 82, 6,5008, 177, 202,3681,1256,2821, 110, # 16
3814, 33,3274, 261, 76, 44,2114, 16,2946,2187,1176, 659,3971, 26,3451,2653, # 32
1198,3972,3350,4202, 410,2215, 302, 590, 361,1964, 8, 204, 58,4510,5009,1932, # 48
63,5010,5011, 317,1614, 75, 222, 159,4203,2417,1480,5012,3555,3091, 224,2822, # 64
3682, 3, 10,3973,1471, 29,2787,1135,2866,1940, 873, 130,3275,1123, 312,5013, # 80
4511,2052, 507, 252, 682,5014, 142,1915, 124, 206,2947, 34,3556,3204, 64, 604, # 96
5015,2501,1977,1978, 155,1991, 645, 641,1606,5016,3452, 337, 72, 406,5017, 80, # 112
630, 238,3205,1509, 263, 939,1092,2654, 756,1440,1094,3453, 449, 69,2987, 591, # 128
179,2096, 471, 115,2035,1844, 60, 50,2988, 134, 806,1869, 734,2036,3454, 180, # 144
995,1607, 156, 537,2907, 688,5018, 319,1305, 779,2145, 514,2379, 298,4512, 359, # 160
2502, 90,2716,1338, 663, 11, 906,1099,2553, 20,2441, 182, 532,1716,5019, 732, # 176
1376,4204,1311,1420,3206, 25,2317,1056, 113, 399, 382,1950, 242,3455,2474, 529, # 192
3276, 475,1447,3683,5020, 117, 21, 656, 810,1297,2300,2334,3557,5021, 126,4205, # 208
706, 456, 150, 613,4513, 71,1118,2037,4206, 145,3092, 85, 835, 486,2115,1246, # 224
1426, 428, 727,1285,1015, 800, 106, 623, 303,1281,5022,2128,2359, 347,3815, 221, # 240
3558,3135,5023,1956,1153,4207, 83, 296,1199,3093, 192, 624, 93,5024, 822,1898, # 256
2823,3136, 795,2065, 991,1554,1542,1592, 27, 43,2867, 859, 139,1456, 860,4514, # 272
437, 712,3974, 164,2397,3137, 695, 211,3037,2097, 195,3975,1608,3559,3560,3684, # 288
3976, 234, 811,2989,2098,3977,2233,1441,3561,1615,2380, 668,2077,1638, 305, 228, # 304
1664,4515, 467, 415,5025, 262,2099,1593, 239, 108, 300, 200,1033, 512,1247,2078, # 320
5026,5027,2176,3207,3685,2682, 593, 845,1062,3277, 88,1723,2038,3978,1951, 212, # 336
266, 152, 149, 468,1899,4208,4516, 77, 187,5028,3038, 37, 5,2990,5029,3979, # 352
5030,5031, 39,2524,4517,2908,3208,2079, 55, 148, 74,4518, 545, 483,1474,1029, # 368
1665, 217,1870,1531,3138,1104,2655,4209, 24, 172,3562, 900,3980,3563,3564,4519, # 384
32,1408,2824,1312, 329, 487,2360,2251,2717, 784,2683, 4,3039,3351,1427,1789, # 400
188, 109, 499,5032,3686,1717,1790, 888,1217,3040,4520,5033,3565,5034,3352,1520, # 416
3687,3981, 196,1034, 775,5035,5036, 929,1816, 249, 439, 38,5037,1063,5038, 794, # 432
3982,1435,2301, 46, 178,3278,2066,5039,2381,5040, 214,1709,4521, 804, 35, 707, # 448
324,3688,1601,2554, 140, 459,4210,5041,5042,1365, 839, 272, 978,2262,2580,3456, # 464
2129,1363,3689,1423, 697, 100,3094, 48, 70,1231, 495,3139,2196,5043,1294,5044, # 480
2080, 462, 586,1042,3279, 853, 256, 988, 185,2382,3457,1698, 434,1084,5045,3458, # 496
314,2625,2788,4522,2335,2336, 569,2285, 637,1817,2525, 757,1162,1879,1616,3459, # 512
287,1577,2116, 768,4523,1671,2868,3566,2526,1321,3816, 909,2418,5046,4211, 933, # 528
3817,4212,2053,2361,1222,4524, 765,2419,1322, 786,4525,5047,1920,1462,1677,2909, # 544
1699,5048,4526,1424,2442,3140,3690,2600,3353,1775,1941,3460,3983,4213, 309,1369, # 560
1130,2825, 364,2234,1653,1299,3984,3567,3985,3986,2656, 525,1085,3041, 902,2001, # 576
1475, 964,4527, 421,1845,1415,1057,2286, 940,1364,3141, 376,4528,4529,1381, 7, # 592
2527, 983,2383, 336,1710,2684,1846, 321,3461, 559,1131,3042,2752,1809,1132,1313, # 608
265,1481,1858,5049, 352,1203,2826,3280, 167,1089, 420,2827, 776, 792,1724,3568, # 624
4214,2443,3281,5050,4215,5051, 446, 229, 333,2753, 901,3818,1200,1557,4530,2657, # 640
1921, 395,2754,2685,3819,4216,1836, 125, 916,3209,2626,4531,5052,5053,3820,5054, # 656
5055,5056,4532,3142,3691,1133,2555,1757,3462,1510,2318,1409,3569,5057,2146, 438, # 672
2601,2910,2384,3354,1068, 958,3043, 461, 311,2869,2686,4217,1916,3210,4218,1979, # 688
383, 750,2755,2627,4219, 274, 539, 385,1278,1442,5058,1154,1965, 384, 561, 210, # 704
98,1295,2556,3570,5059,1711,2420,1482,3463,3987,2911,1257, 129,5060,3821, 642, # 720
523,2789,2790,2658,5061, 141,2235,1333, 68, 176, 441, 876, 907,4220, 603,2602, # 736
710, 171,3464, 404, 549, 18,3143,2398,1410,3692,1666,5062,3571,4533,2912,4534, # 752
5063,2991, 368,5064, 146, 366, 99, 871,3693,1543, 748, 807,1586,1185, 22,2263, # 768
379,3822,3211,5065,3212, 505,1942,2628,1992,1382,2319,5066, 380,2362, 218, 702, # 784
1818,1248,3465,3044,3572,3355,3282,5067,2992,3694, 930,3283,3823,5068, 59,5069, # 800
585, 601,4221, 497,3466,1112,1314,4535,1802,5070,1223,1472,2177,5071, 749,1837, # 816
690,1900,3824,1773,3988,1476, 429,1043,1791,2236,2117, 917,4222, 447,1086,1629, # 832
5072, 556,5073,5074,2021,1654, 844,1090, 105, 550, 966,1758,2828,1008,1783, 686, # 848
1095,5075,2287, 793,1602,5076,3573,2603,4536,4223,2948,2302,4537,3825, 980,2503, # 864
544, 353, 527,4538, 908,2687,2913,5077, 381,2629,1943,1348,5078,1341,1252, 560, # 880
3095,5079,3467,2870,5080,2054, 973, 886,2081, 143,4539,5081,5082, 157,3989, 496, # 896
4224, 57, 840, 540,2039,4540,4541,3468,2118,1445, 970,2264,1748,1966,2082,4225, # 912
3144,1234,1776,3284,2829,3695, 773,1206,2130,1066,2040,1326,3990,1738,1725,4226, # 928
279,3145, 51,1544,2604, 423,1578,2131,2067, 173,4542,1880,5083,5084,1583, 264, # 944
610,3696,4543,2444, 280, 154,5085,5086,5087,1739, 338,1282,3096, 693,2871,1411, # 960
1074,3826,2445,5088,4544,5089,5090,1240, 952,2399,5091,2914,1538,2688, 685,1483, # 976
4227,2475,1436, 953,4228,2055,4545, 671,2400, 79,4229,2446,3285, 608, 567,2689, # 992
3469,4230,4231,1691, 393,1261,1792,2401,5092,4546,5093,5094,5095,5096,1383,1672, # 1008
3827,3213,1464, 522,1119, 661,1150, 216, 675,4547,3991,1432,3574, 609,4548,2690, # 1024
2402,5097,5098,5099,4232,3045, 0,5100,2476, 315, 231,2447, 301,3356,4549,2385, # 1040
5101, 233,4233,3697,1819,4550,4551,5102, 96,1777,1315,2083,5103, 257,5104,1810, # 1056
3698,2718,1139,1820,4234,2022,1124,2164,2791,1778,2659,5105,3097, 363,1655,3214, # 1072
5106,2993,5107,5108,5109,3992,1567,3993, 718, 103,3215, 849,1443, 341,3357,2949, # 1088
1484,5110,1712, 127, 67, 339,4235,2403, 679,1412, 821,5111,5112, 834, 738, 351, # 1104
2994,2147, 846, 235,1497,1881, 418,1993,3828,2719, 186,1100,2148,2756,3575,1545, # 1120
1355,2950,2872,1377, 583,3994,4236,2581,2995,5113,1298,3699,1078,2557,3700,2363, # 1136
78,3829,3830, 267,1289,2100,2002,1594,4237, 348, 369,1274,2197,2178,1838,4552, # 1152
1821,2830,3701,2757,2288,2003,4553,2951,2758, 144,3358, 882,4554,3995,2759,3470, # 1168
4555,2915,5114,4238,1726, 320,5115,3996,3046, 788,2996,5116,2831,1774,1327,2873, # 1184
3997,2832,5117,1306,4556,2004,1700,3831,3576,2364,2660, 787,2023, 506, 824,3702, # 1200
534, 323,4557,1044,3359,2024,1901, 946,3471,5118,1779,1500,1678,5119,1882,4558, # 1216
165, 243,4559,3703,2528, 123, 683,4239, 764,4560, 36,3998,1793, 589,2916, 816, # 1232
626,1667,3047,2237,1639,1555,1622,3832,3999,5120,4000,2874,1370,1228,1933, 891, # 1248
2084,2917, 304,4240,5121, 292,2997,2720,3577, 691,2101,4241,1115,4561, 118, 662, # 1264
5122, 611,1156, 854,2386,1316,2875, 2, 386, 515,2918,5123,5124,3286, 868,2238, # 1280
1486, 855,2661, 785,2216,3048,5125,1040,3216,3578,5126,3146, 448,5127,1525,5128, # 1296
2165,4562,5129,3833,5130,4242,2833,3579,3147, 503, 818,4001,3148,1568, 814, 676, # 1312
1444, 306,1749,5131,3834,1416,1030, 197,1428, 805,2834,1501,4563,5132,5133,5134, # 1328
1994,5135,4564,5136,5137,2198, 13,2792,3704,2998,3149,1229,1917,5138,3835,2132, # 1344
5139,4243,4565,2404,3580,5140,2217,1511,1727,1120,5141,5142, 646,3836,2448, 307, # 1360
5143,5144,1595,3217,5145,5146,5147,3705,1113,1356,4002,1465,2529,2530,5148, 519, # 1376
5149, 128,2133, 92,2289,1980,5150,4003,1512, 342,3150,2199,5151,2793,2218,1981, # 1392
3360,4244, 290,1656,1317, 789, 827,2365,5152,3837,4566, 562, 581,4004,5153, 401, # 1408
4567,2252, 94,4568,5154,1399,2794,5155,1463,2025,4569,3218,1944,5156, 828,1105, # 1424
4245,1262,1394,5157,4246, 605,4570,5158,1784,2876,5159,2835, 819,2102, 578,2200, # 1440
2952,5160,1502, 436,3287,4247,3288,2836,4005,2919,3472,3473,5161,2721,2320,5162, # 1456
5163,2337,2068, 23,4571, 193, 826,3838,2103, 699,1630,4248,3098, 390,1794,1064, # 1472
3581,5164,1579,3099,3100,1400,5165,4249,1839,1640,2877,5166,4572,4573, 137,4250, # 1488
598,3101,1967, 780, 104, 974,2953,5167, 278, 899, 253, 402, 572, 504, 493,1339, # 1504
5168,4006,1275,4574,2582,2558,5169,3706,3049,3102,2253, 565,1334,2722, 863, 41, # 1520
5170,5171,4575,5172,1657,2338, 19, 463,2760,4251, 606,5173,2999,3289,1087,2085, # 1536
1323,2662,3000,5174,1631,1623,1750,4252,2691,5175,2878, 791,2723,2663,2339, 232, # 1552
2421,5176,3001,1498,5177,2664,2630, 755,1366,3707,3290,3151,2026,1609, 119,1918, # 1568
3474, 862,1026,4253,5178,4007,3839,4576,4008,4577,2265,1952,2477,5179,1125, 817, # 1584
4254,4255,4009,1513,1766,2041,1487,4256,3050,3291,2837,3840,3152,5180,5181,1507, # 1600
5182,2692, 733, 40,1632,1106,2879, 345,4257, 841,2531, 230,4578,3002,1847,3292, # 1616
3475,5183,1263, 986,3476,5184, 735, 879, 254,1137, 857, 622,1300,1180,1388,1562, # 1632
4010,4011,2954, 967,2761,2665,1349, 592,2134,1692,3361,3003,1995,4258,1679,4012, # 1648
1902,2188,5185, 739,3708,2724,1296,1290,5186,4259,2201,2202,1922,1563,2605,2559, # 1664
1871,2762,3004,5187, 435,5188, 343,1108, 596, 17,1751,4579,2239,3477,3709,5189, # 1680
4580, 294,3582,2955,1693, 477, 979, 281,2042,3583, 643,2043,3710,2631,2795,2266, # 1696
1031,2340,2135,2303,3584,4581, 367,1249,2560,5190,3585,5191,4582,1283,3362,2005, # 1712
240,1762,3363,4583,4584, 836,1069,3153, 474,5192,2149,2532, 268,3586,5193,3219, # 1728
1521,1284,5194,1658,1546,4260,5195,3587,3588,5196,4261,3364,2693,1685,4262, 961, # 1744
1673,2632, 190,2006,2203,3841,4585,4586,5197, 570,2504,3711,1490,5198,4587,2633, # 1760
3293,1957,4588, 584,1514, 396,1045,1945,5199,4589,1968,2449,5200,5201,4590,4013, # 1776
619,5202,3154,3294, 215,2007,2796,2561,3220,4591,3221,4592, 763,4263,3842,4593, # 1792
5203,5204,1958,1767,2956,3365,3712,1174, 452,1477,4594,3366,3155,5205,2838,1253, # 1808
2387,2189,1091,2290,4264, 492,5206, 638,1169,1825,2136,1752,4014, 648, 926,1021, # 1824
1324,4595, 520,4596, 997, 847,1007, 892,4597,3843,2267,1872,3713,2405,1785,4598, # 1840
1953,2957,3103,3222,1728,4265,2044,3714,4599,2008,1701,3156,1551, 30,2268,4266, # 1856
5207,2027,4600,3589,5208, 501,5209,4267, 594,3478,2166,1822,3590,3479,3591,3223, # 1872
829,2839,4268,5210,1680,3157,1225,4269,5211,3295,4601,4270,3158,2341,5212,4602, # 1888
4271,5213,4015,4016,5214,1848,2388,2606,3367,5215,4603, 374,4017, 652,4272,4273, # 1904
375,1140, 798,5216,5217,5218,2366,4604,2269, 546,1659, 138,3051,2450,4605,5219, # 1920
2254, 612,1849, 910, 796,3844,1740,1371, 825,3845,3846,5220,2920,2562,5221, 692, # 1936
444,3052,2634, 801,4606,4274,5222,1491, 244,1053,3053,4275,4276, 340,5223,4018, # 1952
1041,3005, 293,1168, 87,1357,5224,1539, 959,5225,2240, 721, 694,4277,3847, 219, # 1968
1478, 644,1417,3368,2666,1413,1401,1335,1389,4019,5226,5227,3006,2367,3159,1826, # 1984
730,1515, 184,2840, 66,4607,5228,1660,2958, 246,3369, 378,1457, 226,3480, 975, # 2000
4020,2959,1264,3592, 674, 696,5229, 163,5230,1141,2422,2167, 713,3593,3370,4608, # 2016
4021,5231,5232,1186, 15,5233,1079,1070,5234,1522,3224,3594, 276,1050,2725, 758, # 2032
1126, 653,2960,3296,5235,2342, 889,3595,4022,3104,3007, 903,1250,4609,4023,3481, # 2048
3596,1342,1681,1718, 766,3297, 286, 89,2961,3715,5236,1713,5237,2607,3371,3008, # 2064
5238,2962,2219,3225,2880,5239,4610,2505,2533, 181, 387,1075,4024, 731,2190,3372, # 2080
5240,3298, 310, 313,3482,2304, 770,4278, 54,3054, 189,4611,3105,3848,4025,5241, # 2096
1230,1617,1850, 355,3597,4279,4612,3373, 111,4280,3716,1350,3160,3483,3055,4281, # 2112
2150,3299,3598,5242,2797,4026,4027,3009, 722,2009,5243,1071, 247,1207,2343,2478, # 2128
1378,4613,2010, 864,1437,1214,4614, 373,3849,1142,2220, 667,4615, 442,2763,2563, # 2144
3850,4028,1969,4282,3300,1840, 837, 170,1107, 934,1336,1883,5244,5245,2119,4283, # 2160
2841, 743,1569,5246,4616,4284, 582,2389,1418,3484,5247,1803,5248, 357,1395,1729, # 2176
3717,3301,2423,1564,2241,5249,3106,3851,1633,4617,1114,2086,4285,1532,5250, 482, # 2192
2451,4618,5251,5252,1492, 833,1466,5253,2726,3599,1641,2842,5254,1526,1272,3718, # 2208
4286,1686,1795, 416,2564,1903,1954,1804,5255,3852,2798,3853,1159,2321,5256,2881, # 2224
4619,1610,1584,3056,2424,2764, 443,3302,1163,3161,5257,5258,4029,5259,4287,2506, # 2240
3057,4620,4030,3162,2104,1647,3600,2011,1873,4288,5260,4289, 431,3485,5261, 250, # 2256
97, 81,4290,5262,1648,1851,1558, 160, 848,5263, 866, 740,1694,5264,2204,2843, # 2272
3226,4291,4621,3719,1687, 950,2479, 426, 469,3227,3720,3721,4031,5265,5266,1188, # 2288
424,1996, 861,3601,4292,3854,2205,2694, 168,1235,3602,4293,5267,2087,1674,4622, # 2304
3374,3303, 220,2565,1009,5268,3855, 670,3010, 332,1208, 717,5269,5270,3603,2452, # 2320
4032,3375,5271, 513,5272,1209,2882,3376,3163,4623,1080,5273,5274,5275,5276,2534, # 2336
3722,3604, 815,1587,4033,4034,5277,3605,3486,3856,1254,4624,1328,3058,1390,4035, # 2352
1741,4036,3857,4037,5278, 236,3858,2453,3304,5279,5280,3723,3859,1273,3860,4625, # 2368
5281, 308,5282,4626, 245,4627,1852,2480,1307,2583, 430, 715,2137,2454,5283, 270, # 2384
199,2883,4038,5284,3606,2727,1753, 761,1754, 725,1661,1841,4628,3487,3724,5285, # 2400
5286, 587, 14,3305, 227,2608, 326, 480,2270, 943,2765,3607, 291, 650,1884,5287, # 2416
1702,1226, 102,1547, 62,3488, 904,4629,3489,1164,4294,5288,5289,1224,1548,2766, # 2432
391, 498,1493,5290,1386,1419,5291,2056,1177,4630, 813, 880,1081,2368, 566,1145, # 2448
4631,2291,1001,1035,2566,2609,2242, 394,1286,5292,5293,2069,5294, 86,1494,1730, # 2464
4039, 491,1588, 745, 897,2963, 843,3377,4040,2767,2884,3306,1768, 998,2221,2070, # 2480
397,1827,1195,1970,3725,3011,3378, 284,5295,3861,2507,2138,2120,1904,5296,4041, # 2496
2151,4042,4295,1036,3490,1905, 114,2567,4296, 209,1527,5297,5298,2964,2844,2635, # 2512
2390,2728,3164, 812,2568,5299,3307,5300,1559, 737,1885,3726,1210, 885, 28,2695, # 2528
3608,3862,5301,4297,1004,1780,4632,5302, 346,1982,2222,2696,4633,3863,1742, 797, # 2544
1642,4043,1934,1072,1384,2152, 896,4044,3308,3727,3228,2885,3609,5303,2569,1959, # 2560
4634,2455,1786,5304,5305,5306,4045,4298,1005,1308,3728,4299,2729,4635,4636,1528, # 2576
2610, 161,1178,4300,1983, 987,4637,1101,4301, 631,4046,1157,3229,2425,1343,1241, # 2592
1016,2243,2570, 372, 877,2344,2508,1160, 555,1935, 911,4047,5307, 466,1170, 169, # 2608
1051,2921,2697,3729,2481,3012,1182,2012,2571,1251,2636,5308, 992,2345,3491,1540, # 2624
2730,1201,2071,2406,1997,2482,5309,4638, 528,1923,2191,1503,1874,1570,2369,3379, # 2640
3309,5310, 557,1073,5311,1828,3492,2088,2271,3165,3059,3107, 767,3108,2799,4639, # 2656
1006,4302,4640,2346,1267,2179,3730,3230, 778,4048,3231,2731,1597,2667,5312,4641, # 2672
5313,3493,5314,5315,5316,3310,2698,1433,3311, 131, 95,1504,4049, 723,4303,3166, # 2688
1842,3610,2768,2192,4050,2028,2105,3731,5317,3013,4051,1218,5318,3380,3232,4052, # 2704
4304,2584, 248,1634,3864, 912,5319,2845,3732,3060,3865, 654, 53,5320,3014,5321, # 2720
1688,4642, 777,3494,1032,4053,1425,5322, 191, 820,2121,2846, 971,4643, 931,3233, # 2736
135, 664, 783,3866,1998, 772,2922,1936,4054,3867,4644,2923,3234, 282,2732, 640, # 2752
1372,3495,1127, 922, 325,3381,5323,5324, 711,2045,5325,5326,4055,2223,2800,1937, # 2768
4056,3382,2224,2255,3868,2305,5327,4645,3869,1258,3312,4057,3235,2139,2965,4058, # 2784
4059,5328,2225, 258,3236,4646, 101,1227,5329,3313,1755,5330,1391,3314,5331,2924, # 2800
2057, 893,5332,5333,5334,1402,4305,2347,5335,5336,3237,3611,5337,5338, 878,1325, # 2816
1781,2801,4647, 259,1385,2585, 744,1183,2272,4648,5339,4060,2509,5340, 684,1024, # 2832
4306,5341, 472,3612,3496,1165,3315,4061,4062, 322,2153, 881, 455,1695,1152,1340, # 2848
660, 554,2154,4649,1058,4650,4307, 830,1065,3383,4063,4651,1924,5342,1703,1919, # 2864
5343, 932,2273, 122,5344,4652, 947, 677,5345,3870,2637, 297,1906,1925,2274,4653, # 2880
2322,3316,5346,5347,4308,5348,4309, 84,4310, 112, 989,5349, 547,1059,4064, 701, # 2896
3613,1019,5350,4311,5351,3497, 942, 639, 457,2306,2456, 993,2966, 407, 851, 494, # 2912
4654,3384, 927,5352,1237,5353,2426,3385, 573,4312, 680, 921,2925,1279,1875, 285, # 2928
790,1448,1984, 719,2168,5354,5355,4655,4065,4066,1649,5356,1541, 563,5357,1077, # 2944
5358,3386,3061,3498, 511,3015,4067,4068,3733,4069,1268,2572,3387,3238,4656,4657, # 2960
5359, 535,1048,1276,1189,2926,2029,3167,1438,1373,2847,2967,1134,2013,5360,4313, # 2976
1238,2586,3109,1259,5361, 700,5362,2968,3168,3734,4314,5363,4315,1146,1876,1907, # 2992
4658,2611,4070, 781,2427, 132,1589, 203, 147, 273,2802,2407, 898,1787,2155,4071, # 3008
4072,5364,3871,2803,5365,5366,4659,4660,5367,3239,5368,1635,3872, 965,5369,1805, # 3024
2699,1516,3614,1121,1082,1329,3317,4073,1449,3873, 65,1128,2848,2927,2769,1590, # 3040
3874,5370,5371, 12,2668, 45, 976,2587,3169,4661, 517,2535,1013,1037,3240,5372, # 3056
3875,2849,5373,3876,5374,3499,5375,2612, 614,1999,2323,3877,3110,2733,2638,5376, # 3072
2588,4316, 599,1269,5377,1811,3735,5378,2700,3111, 759,1060, 489,1806,3388,3318, # 3088
1358,5379,5380,2391,1387,1215,2639,2256, 490,5381,5382,4317,1759,2392,2348,5383, # 3104
4662,3878,1908,4074,2640,1807,3241,4663,3500,3319,2770,2349, 874,5384,5385,3501, # 3120
3736,1859, 91,2928,3737,3062,3879,4664,5386,3170,4075,2669,5387,3502,1202,1403, # 3136
3880,2969,2536,1517,2510,4665,3503,2511,5388,4666,5389,2701,1886,1495,1731,4076, # 3152
2370,4667,5390,2030,5391,5392,4077,2702,1216, 237,2589,4318,2324,4078,3881,4668, # 3168
4669,2703,3615,3504, 445,4670,5393,5394,5395,5396,2771, 61,4079,3738,1823,4080, # 3184
5397, 687,2046, 935, 925, 405,2670, 703,1096,1860,2734,4671,4081,1877,1367,2704, # 3200
3389, 918,2106,1782,2483, 334,3320,1611,1093,4672, 564,3171,3505,3739,3390, 945, # 3216
2641,2058,4673,5398,1926, 872,4319,5399,3506,2705,3112, 349,4320,3740,4082,4674, # 3232
3882,4321,3741,2156,4083,4675,4676,4322,4677,2408,2047, 782,4084, 400, 251,4323, # 3248
1624,5400,5401, 277,3742, 299,1265, 476,1191,3883,2122,4324,4325,1109, 205,5402, # 3264
2590,1000,2157,3616,1861,5403,5404,5405,4678,5406,4679,2573, 107,2484,2158,4085, # 3280
3507,3172,5407,1533, 541,1301, 158, 753,4326,2886,3617,5408,1696, 370,1088,4327, # 3296
4680,3618, 579, 327, 440, 162,2244, 269,1938,1374,3508, 968,3063, 56,1396,3113, # 3312
2107,3321,3391,5409,1927,2159,4681,3016,5410,3619,5411,5412,3743,4682,2485,5413, # 3328
2804,5414,1650,4683,5415,2613,5416,5417,4086,2671,3392,1149,3393,4087,3884,4088, # 3344
5418,1076, 49,5419, 951,3242,3322,3323, 450,2850, 920,5420,1812,2805,2371,4328, # 3360
1909,1138,2372,3885,3509,5421,3243,4684,1910,1147,1518,2428,4685,3886,5422,4686, # 3376
2393,2614, 260,1796,3244,5423,5424,3887,3324, 708,5425,3620,1704,5426,3621,1351, # 3392
1618,3394,3017,1887, 944,4329,3395,4330,3064,3396,4331,5427,3744, 422, 413,1714, # 3408
3325, 500,2059,2350,4332,2486,5428,1344,1911, 954,5429,1668,5430,5431,4089,2409, # 3424
4333,3622,3888,4334,5432,2307,1318,2512,3114, 133,3115,2887,4687, 629, 31,2851, # 3440
2706,3889,4688, 850, 949,4689,4090,2970,1732,2089,4335,1496,1853,5433,4091, 620, # 3456
3245, 981,1242,3745,3397,1619,3746,1643,3326,2140,2457,1971,1719,3510,2169,5434, # 3472
3246,5435,5436,3398,1829,5437,1277,4690,1565,2048,5438,1636,3623,3116,5439, 869, # 3488
2852, 655,3890,3891,3117,4092,3018,3892,1310,3624,4691,5440,5441,5442,1733, 558, # 3504
4692,3747, 335,1549,3065,1756,4336,3748,1946,3511,1830,1291,1192, 470,2735,2108, # 3520
2806, 913,1054,4093,5443,1027,5444,3066,4094,4693, 982,2672,3399,3173,3512,3247, # 3536
3248,1947,2807,5445, 571,4694,5446,1831,5447,3625,2591,1523,2429,5448,2090, 984, # 3552
4695,3749,1960,5449,3750, 852, 923,2808,3513,3751, 969,1519, 999,2049,2325,1705, # 3568
5450,3118, 615,1662, 151, 597,4095,2410,2326,1049, 275,4696,3752,4337, 568,3753, # 3584
3626,2487,4338,3754,5451,2430,2275, 409,3249,5452,1566,2888,3514,1002, 769,2853, # 3600
194,2091,3174,3755,2226,3327,4339, 628,1505,5453,5454,1763,2180,3019,4096, 521, # 3616
1161,2592,1788,2206,2411,4697,4097,1625,4340,4341, 412, 42,3119, 464,5455,2642, # 3632
4698,3400,1760,1571,2889,3515,2537,1219,2207,3893,2643,2141,2373,4699,4700,3328, # 3648
1651,3401,3627,5456,5457,3628,2488,3516,5458,3756,5459,5460,2276,2092, 460,5461, # 3664
4701,5462,3020, 962, 588,3629, 289,3250,2644,1116, 52,5463,3067,1797,5464,5465, # 3680
5466,1467,5467,1598,1143,3757,4342,1985,1734,1067,4702,1280,3402, 465,4703,1572, # 3696
510,5468,1928,2245,1813,1644,3630,5469,4704,3758,5470,5471,2673,1573,1534,5472, # 3712
5473, 536,1808,1761,3517,3894,3175,2645,5474,5475,5476,4705,3518,2929,1912,2809, # 3728
5477,3329,1122, 377,3251,5478, 360,5479,5480,4343,1529, 551,5481,2060,3759,1769, # 3744
2431,5482,2930,4344,3330,3120,2327,2109,2031,4706,1404, 136,1468,1479, 672,1171, # 3760
3252,2308, 271,3176,5483,2772,5484,2050, 678,2736, 865,1948,4707,5485,2014,4098, # 3776
2971,5486,2737,2227,1397,3068,3760,4708,4709,1735,2931,3403,3631,5487,3895, 509, # 3792
2854,2458,2890,3896,5488,5489,3177,3178,4710,4345,2538,4711,2309,1166,1010, 552, # 3808
681,1888,5490,5491,2972,2973,4099,1287,1596,1862,3179, 358, 453, 736, 175, 478, # 3824
1117, 905,1167,1097,5492,1854,1530,5493,1706,5494,2181,3519,2292,3761,3520,3632, # 3840
4346,2093,4347,5495,3404,1193,2489,4348,1458,2193,2208,1863,1889,1421,3331,2932, # 3856
3069,2182,3521, 595,2123,5496,4100,5497,5498,4349,1707,2646, 223,3762,1359, 751, # 3872
3121, 183,3522,5499,2810,3021, 419,2374, 633, 704,3897,2394, 241,5500,5501,5502, # 3888
838,3022,3763,2277,2773,2459,3898,1939,2051,4101,1309,3122,2246,1181,5503,1136, # 3904
2209,3899,2375,1446,4350,2310,4712,5504,5505,4351,1055,2615, 484,3764,5506,4102, # 3920
625,4352,2278,3405,1499,4353,4103,5507,4104,4354,3253,2279,2280,3523,5508,5509, # 3936
2774, 808,2616,3765,3406,4105,4355,3123,2539, 526,3407,3900,4356, 955,5510,1620, # 3952
4357,2647,2432,5511,1429,3766,1669,1832, 994, 928,5512,3633,1260,5513,5514,5515, # 3968
1949,2293, 741,2933,1626,4358,2738,2460, 867,1184, 362,3408,1392,5516,5517,4106, # 3984
4359,1770,1736,3254,2934,4713,4714,1929,2707,1459,1158,5518,3070,3409,2891,1292, # 4000
1930,2513,2855,3767,1986,1187,2072,2015,2617,4360,5519,2574,2514,2170,3768,2490, # 4016
3332,5520,3769,4715,5521,5522, 666,1003,3023,1022,3634,4361,5523,4716,1814,2257, # 4032
574,3901,1603, 295,1535, 705,3902,4362, 283, 858, 417,5524,5525,3255,4717,4718, # 4048
3071,1220,1890,1046,2281,2461,4107,1393,1599, 689,2575, 388,4363,5526,2491, 802, # 4064
5527,2811,3903,2061,1405,2258,5528,4719,3904,2110,1052,1345,3256,1585,5529, 809, # 4080
5530,5531,5532, 575,2739,3524, 956,1552,1469,1144,2328,5533,2329,1560,2462,3635, # 4096
3257,4108, 616,2210,4364,3180,2183,2294,5534,1833,5535,3525,4720,5536,1319,3770, # 4112
3771,1211,3636,1023,3258,1293,2812,5537,5538,5539,3905, 607,2311,3906, 762,2892, # 4128
1439,4365,1360,4721,1485,3072,5540,4722,1038,4366,1450,2062,2648,4367,1379,4723, # 4144
2593,5541,5542,4368,1352,1414,2330,2935,1172,5543,5544,3907,3908,4724,1798,1451, # 4160
5545,5546,5547,5548,2936,4109,4110,2492,2351, 411,4111,4112,3637,3333,3124,4725, # 4176
1561,2674,1452,4113,1375,5549,5550, 47,2974, 316,5551,1406,1591,2937,3181,5552, # 4192
1025,2142,3125,3182, 354,2740, 884,2228,4369,2412, 508,3772, 726,3638, 996,2433, # 4208
3639, 729,5553, 392,2194,1453,4114,4726,3773,5554,5555,2463,3640,2618,1675,2813, # 4224
919,2352,2975,2353,1270,4727,4115, 73,5556,5557, 647,5558,3259,2856,2259,1550, # 4240
1346,3024,5559,1332, 883,3526,5560,5561,5562,5563,3334,2775,5564,1212, 831,1347, # 4256
4370,4728,2331,3909,1864,3073, 720,3910,4729,4730,3911,5565,4371,5566,5567,4731, # 4272
5568,5569,1799,4732,3774,2619,4733,3641,1645,2376,4734,5570,2938, 669,2211,2675, # 4288
2434,5571,2893,5572,5573,1028,3260,5574,4372,2413,5575,2260,1353,5576,5577,4735, # 4304
3183, 518,5578,4116,5579,4373,1961,5580,2143,4374,5581,5582,3025,2354,2355,3912, # 4320
516,1834,1454,4117,2708,4375,4736,2229,2620,1972,1129,3642,5583,2776,5584,2976, # 4336
1422, 577,1470,3026,1524,3410,5585,5586, 432,4376,3074,3527,5587,2594,1455,2515, # 4352
2230,1973,1175,5588,1020,2741,4118,3528,4737,5589,2742,5590,1743,1361,3075,3529, # 4368
2649,4119,4377,4738,2295, 895, 924,4378,2171, 331,2247,3076, 166,1627,3077,1098, # 4384
5591,1232,2894,2231,3411,4739, 657, 403,1196,2377, 542,3775,3412,1600,4379,3530, # 4400
5592,4740,2777,3261, 576, 530,1362,4741,4742,2540,2676,3776,4120,5593, 842,3913, # 4416
5594,2814,2032,1014,4121, 213,2709,3413, 665, 621,4380,5595,3777,2939,2435,5596, # 4432
2436,3335,3643,3414,4743,4381,2541,4382,4744,3644,1682,4383,3531,1380,5597, 724, # 4448
2282, 600,1670,5598,1337,1233,4745,3126,2248,5599,1621,4746,5600, 651,4384,5601, # 4464
1612,4385,2621,5602,2857,5603,2743,2312,3078,5604, 716,2464,3079, 174,1255,2710, # 4480
4122,3645, 548,1320,1398, 728,4123,1574,5605,1891,1197,3080,4124,5606,3081,3082, # 4496
3778,3646,3779, 747,5607, 635,4386,4747,5608,5609,5610,4387,5611,5612,4748,5613, # 4512
3415,4749,2437, 451,5614,3780,2542,2073,4388,2744,4389,4125,5615,1764,4750,5616, # 4528
4390, 350,4751,2283,2395,2493,5617,4391,4126,2249,1434,4127, 488,4752, 458,4392, # 4544
4128,3781, 771,1330,2396,3914,2576,3184,2160,2414,1553,2677,3185,4393,5618,2494, # 4560
2895,2622,1720,2711,4394,3416,4753,5619,2543,4395,5620,3262,4396,2778,5621,2016, # 4576
2745,5622,1155,1017,3782,3915,5623,3336,2313, 201,1865,4397,1430,5624,4129,5625, # 4592
5626,5627,5628,5629,4398,1604,5630, 414,1866, 371,2595,4754,4755,3532,2017,3127, # 4608
4756,1708, 960,4399, 887, 389,2172,1536,1663,1721,5631,2232,4130,2356,2940,1580, # 4624
5632,5633,1744,4757,2544,4758,4759,5634,4760,5635,2074,5636,4761,3647,3417,2896, # 4640
4400,5637,4401,2650,3418,2815, 673,2712,2465, 709,3533,4131,3648,4402,5638,1148, # 4656
502, 634,5639,5640,1204,4762,3649,1575,4763,2623,3783,5641,3784,3128, 948,3263, # 4672
121,1745,3916,1110,5642,4403,3083,2516,3027,4132,3785,1151,1771,3917,1488,4133, # 4688
1987,5643,2438,3534,5644,5645,2094,5646,4404,3918,1213,1407,2816, 531,2746,2545, # 4704
3264,1011,1537,4764,2779,4405,3129,1061,5647,3786,3787,1867,2897,5648,2018, 120, # 4720
4406,4407,2063,3650,3265,2314,3919,2678,3419,1955,4765,4134,5649,3535,1047,2713, # 4736
1266,5650,1368,4766,2858, 649,3420,3920,2546,2747,1102,2859,2679,5651,5652,2000, # 4752
5653,1111,3651,2977,5654,2495,3921,3652,2817,1855,3421,3788,5655,5656,3422,2415, # 4768
2898,3337,3266,3653,5657,2577,5658,3654,2818,4135,1460, 856,5659,3655,5660,2899, # 4784
2978,5661,2900,3922,5662,4408, 632,2517, 875,3923,1697,3924,2296,5663,5664,4767, # 4800
3028,1239, 580,4768,4409,5665, 914, 936,2075,1190,4136,1039,2124,5666,5667,5668, # 4816
5669,3423,1473,5670,1354,4410,3925,4769,2173,3084,4137, 915,3338,4411,4412,3339, # 4832
1605,1835,5671,2748, 398,3656,4413,3926,4138, 328,1913,2860,4139,3927,1331,4414, # 4848
3029, 937,4415,5672,3657,4140,4141,3424,2161,4770,3425, 524, 742, 538,3085,1012, # 4864
5673,5674,3928,2466,5675, 658,1103, 225,3929,5676,5677,4771,5678,4772,5679,3267, # 4880
1243,5680,4142, 963,2250,4773,5681,2714,3658,3186,5682,5683,2596,2332,5684,4774, # 4896
5685,5686,5687,3536, 957,3426,2547,2033,1931,2941,2467, 870,2019,3659,1746,2780, # 4912
2781,2439,2468,5688,3930,5689,3789,3130,3790,3537,3427,3791,5690,1179,3086,5691, # 4928
3187,2378,4416,3792,2548,3188,3131,2749,4143,5692,3428,1556,2549,2297, 977,2901, # 4944
2034,4144,1205,3429,5693,1765,3430,3189,2125,1271, 714,1689,4775,3538,5694,2333, # 4960
3931, 533,4417,3660,2184, 617,5695,2469,3340,3539,2315,5696,5697,3190,5698,5699, # 4976
3932,1988, 618, 427,2651,3540,3431,5700,5701,1244,1690,5702,2819,4418,4776,5703, # 4992
3541,4777,5704,2284,1576, 473,3661,4419,3432, 972,5705,3662,5706,3087,5707,5708, # 5008
4778,4779,5709,3793,4145,4146,5710, 153,4780, 356,5711,1892,2902,4420,2144, 408, # 5024
803,2357,5712,3933,5713,4421,1646,2578,2518,4781,4782,3934,5714,3935,4422,5715, # 5040
2416,3433, 752,5716,5717,1962,3341,2979,5718, 746,3030,2470,4783,4423,3794, 698, # 5056
4784,1893,4424,3663,2550,4785,3664,3936,5719,3191,3434,5720,1824,1302,4147,2715, # 5072
3937,1974,4425,5721,4426,3192, 823,1303,1288,1236,2861,3542,4148,3435, 774,3938, # 5088
5722,1581,4786,1304,2862,3939,4787,5723,2440,2162,1083,3268,4427,4149,4428, 344, # 5104
1173, 288,2316, 454,1683,5724,5725,1461,4788,4150,2597,5726,5727,4789, 985, 894, # 5120
5728,3436,3193,5729,1914,2942,3795,1989,5730,2111,1975,5731,4151,5732,2579,1194, # 5136
425,5733,4790,3194,1245,3796,4429,5734,5735,2863,5736, 636,4791,1856,3940, 760, # 5152
1800,5737,4430,2212,1508,4792,4152,1894,1684,2298,5738,5739,4793,4431,4432,2213, # 5168
479,5740,5741, 832,5742,4153,2496,5743,2980,2497,3797, 990,3132, 627,1815,2652, # 5184
4433,1582,4434,2126,2112,3543,4794,5744, 799,4435,3195,5745,4795,2113,1737,3031, # 5200
1018, 543, 754,4436,3342,1676,4796,4797,4154,4798,1489,5746,3544,5747,2624,2903, # 5216
4155,5748,5749,2981,5750,5751,5752,5753,3196,4799,4800,2185,1722,5754,3269,3270, # 5232
1843,3665,1715, 481, 365,1976,1857,5755,5756,1963,2498,4801,5757,2127,3666,3271, # 5248
433,1895,2064,2076,5758, 602,2750,5759,5760,5761,5762,5763,3032,1628,3437,5764, # 5264
3197,4802,4156,2904,4803,2519,5765,2551,2782,5766,5767,5768,3343,4804,2905,5769, # 5280
4805,5770,2864,4806,4807,1221,2982,4157,2520,5771,5772,5773,1868,1990,5774,5775, # 5296
5776,1896,5777,5778,4808,1897,4158, 318,5779,2095,4159,4437,5780,5781, 485,5782, # 5312
938,3941, 553,2680, 116,5783,3942,3667,5784,3545,2681,2783,3438,3344,2820,5785, # 5328
3668,2943,4160,1747,2944,2983,5786,5787, 207,5788,4809,5789,4810,2521,5790,3033, # 5344
890,3669,3943,5791,1878,3798,3439,5792,2186,2358,3440,1652,5793,5794,5795, 941, # 5360
2299, 208,3546,4161,2020, 330,4438,3944,2906,2499,3799,4439,4811,5796,5797,5798, # 5376 #last 512
#Everything below is of no interest for detection purpose
2522,1613,4812,5799,3345,3945,2523,5800,4162,5801,1637,4163,2471,4813,3946,5802, # 5392
2500,3034,3800,5803,5804,2195,4814,5805,2163,5806,5807,5808,5809,5810,5811,5812, # 5408
5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824,5825,5826,5827,5828, # 5424
5829,5830,5831,5832,5833,5834,5835,5836,5837,5838,5839,5840,5841,5842,5843,5844, # 5440
5845,5846,5847,5848,5849,5850,5851,5852,5853,5854,5855,5856,5857,5858,5859,5860, # 5456
5861,5862,5863,5864,5865,5866,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876, # 5472
5877,5878,5879,5880,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892, # 5488
5893,5894,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908, # 5504
5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922,5923,5924, # 5520
5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936,5937,5938,5939,5940, # 5536
5941,5942,5943,5944,5945,5946,5947,5948,5949,5950,5951,5952,5953,5954,5955,5956, # 5552
5957,5958,5959,5960,5961,5962,5963,5964,5965,5966,5967,5968,5969,5970,5971,5972, # 5568
5973,5974,5975,5976,5977,5978,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988, # 5584
5989,5990,5991,5992,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004, # 5600
6005,6006,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020, # 5616
6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034,6035,6036, # 5632
6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048,6049,6050,6051,6052, # 5648
6053,6054,6055,6056,6057,6058,6059,6060,6061,6062,6063,6064,6065,6066,6067,6068, # 5664
6069,6070,6071,6072,6073,6074,6075,6076,6077,6078,6079,6080,6081,6082,6083,6084, # 5680
6085,6086,6087,6088,6089,6090,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100, # 5696
6101,6102,6103,6104,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116, # 5712
6117,6118,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132, # 5728
6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146,6147,6148, # 5744
6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160,6161,6162,6163,6164, # 5760
6165,6166,6167,6168,6169,6170,6171,6172,6173,6174,6175,6176,6177,6178,6179,6180, # 5776
6181,6182,6183,6184,6185,6186,6187,6188,6189,6190,6191,6192,6193,6194,6195,6196, # 5792
6197,6198,6199,6200,6201,6202,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212, # 5808
6213,6214,6215,6216,6217,6218,6219,6220,6221,6222,6223,3670,6224,6225,6226,6227, # 5824
6228,6229,6230,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243, # 5840
6244,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258,6259, # 5856
6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272,6273,6274,6275, # 5872
6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,4815,6286,6287,6288,6289,6290, # 5888
6291,6292,4816,6293,6294,6295,6296,6297,6298,6299,6300,6301,6302,6303,6304,6305, # 5904
6306,6307,6308,6309,6310,6311,4817,4818,6312,6313,6314,6315,6316,6317,6318,4819, # 5920
6319,6320,6321,6322,6323,6324,6325,6326,6327,6328,6329,6330,6331,6332,6333,6334, # 5936
6335,6336,6337,4820,6338,6339,6340,6341,6342,6343,6344,6345,6346,6347,6348,6349, # 5952
6350,6351,6352,6353,6354,6355,6356,6357,6358,6359,6360,6361,6362,6363,6364,6365, # 5968
6366,6367,6368,6369,6370,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381, # 5984
6382,6383,6384,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397, # 6000
6398,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,3441,6411,6412, # 6016
6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,4440,6426,6427, # 6032
6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440,6441,6442,6443, # 6048
6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454,4821,6455,6456,6457,6458, # 6064
6459,6460,6461,6462,6463,6464,6465,6466,6467,6468,6469,6470,6471,6472,6473,6474, # 6080
6475,6476,6477,3947,3948,6478,6479,6480,6481,3272,4441,6482,6483,6484,6485,4442, # 6096
6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496,4822,6497,6498,6499,6500, # 6112
6501,6502,6503,6504,6505,6506,6507,6508,6509,6510,6511,6512,6513,6514,6515,6516, # 6128
6517,6518,6519,6520,6521,6522,6523,6524,6525,6526,6527,6528,6529,6530,6531,6532, # 6144
6533,6534,6535,6536,6537,6538,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548, # 6160
6549,6550,6551,6552,6553,6554,6555,6556,2784,6557,4823,6558,6559,6560,6561,6562, # 6176
6563,6564,6565,6566,6567,6568,6569,3949,6570,6571,6572,4824,6573,6574,6575,6576, # 6192
6577,6578,6579,6580,6581,6582,6583,4825,6584,6585,6586,3950,2785,6587,6588,6589, # 6208
6590,6591,6592,6593,6594,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605, # 6224
6606,6607,6608,6609,6610,6611,6612,4826,6613,6614,6615,4827,6616,6617,6618,6619, # 6240
6620,6621,6622,6623,6624,6625,4164,6626,6627,6628,6629,6630,6631,6632,6633,6634, # 6256
3547,6635,4828,6636,6637,6638,6639,6640,6641,6642,3951,2984,6643,6644,6645,6646, # 6272
6647,6648,6649,4165,6650,4829,6651,6652,4830,6653,6654,6655,6656,6657,6658,6659, # 6288
6660,6661,6662,4831,6663,6664,6665,6666,6667,6668,6669,6670,6671,4166,6672,4832, # 6304
3952,6673,6674,6675,6676,4833,6677,6678,6679,4167,6680,6681,6682,3198,6683,6684, # 6320
6685,6686,6687,6688,6689,6690,6691,6692,6693,6694,6695,6696,6697,4834,6698,6699, # 6336
6700,6701,6702,6703,6704,6705,6706,6707,6708,6709,6710,6711,6712,6713,6714,6715, # 6352
6716,6717,6718,6719,6720,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731, # 6368
6732,6733,6734,4443,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,4444, # 6384
6746,6747,6748,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761, # 6400
6762,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776,6777, # 6416
6778,6779,6780,6781,4168,6782,6783,3442,6784,6785,6786,6787,6788,6789,6790,6791, # 6432
4169,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804,6805,6806, # 6448
6807,6808,6809,6810,6811,4835,6812,6813,6814,4445,6815,6816,4446,6817,6818,6819, # 6464
6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832,6833,6834,6835, # 6480
3548,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846,4836,6847,6848,6849, # 6496
6850,6851,6852,6853,6854,3953,6855,6856,6857,6858,6859,6860,6861,6862,6863,6864, # 6512
6865,6866,6867,6868,6869,6870,6871,6872,6873,6874,6875,6876,6877,3199,6878,6879, # 6528
6880,6881,6882,4447,6883,6884,6885,6886,6887,6888,6889,6890,6891,6892,6893,6894, # 6544
6895,6896,6897,6898,6899,6900,6901,6902,6903,6904,4170,6905,6906,6907,6908,6909, # 6560
6910,6911,6912,6913,6914,6915,6916,6917,6918,6919,6920,6921,6922,6923,6924,6925, # 6576
6926,6927,4837,6928,6929,6930,6931,6932,6933,6934,6935,6936,3346,6937,6938,4838, # 6592
6939,6940,6941,4448,6942,6943,6944,6945,6946,4449,6947,6948,6949,6950,6951,6952, # 6608
6953,6954,6955,6956,6957,6958,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968, # 6624
6969,6970,6971,6972,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984, # 6640
6985,6986,6987,6988,6989,6990,6991,6992,6993,6994,3671,6995,6996,6997,6998,4839, # 6656
6999,7000,7001,7002,3549,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013, # 6672
7014,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028,7029, # 6688
7030,4840,7031,7032,7033,7034,7035,7036,7037,7038,4841,7039,7040,7041,7042,7043, # 6704
7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056,7057,7058,7059, # 6720
7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070,2985,7071,7072,7073,7074, # 6736
7075,7076,7077,7078,7079,7080,4842,7081,7082,7083,7084,7085,7086,7087,7088,7089, # 6752
7090,7091,7092,7093,7094,7095,7096,7097,7098,7099,7100,7101,7102,7103,7104,7105, # 6768
7106,7107,7108,7109,7110,7111,7112,7113,7114,7115,7116,7117,7118,4450,7119,7120, # 6784
7121,7122,7123,7124,7125,7126,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136, # 6800
7137,7138,7139,7140,7141,7142,7143,4843,7144,7145,7146,7147,7148,7149,7150,7151, # 6816
7152,7153,7154,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167, # 6832
7168,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182,7183, # 6848
7184,7185,7186,7187,7188,4171,4172,7189,7190,7191,7192,7193,7194,7195,7196,7197, # 6864
7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210,7211,7212,7213, # 6880
7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224,7225,7226,7227,7228,7229, # 6896
7230,7231,7232,7233,7234,7235,7236,7237,7238,7239,7240,7241,7242,7243,7244,7245, # 6912
7246,7247,7248,7249,7250,7251,7252,7253,7254,7255,7256,7257,7258,7259,7260,7261, # 6928
7262,7263,7264,7265,7266,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277, # 6944
7278,7279,7280,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293, # 6960
7294,7295,7296,4844,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308, # 6976
7309,7310,7311,7312,7313,7314,7315,7316,4451,7317,7318,7319,7320,7321,7322,7323, # 6992
7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336,7337,7338,7339, # 7008
7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350,7351,7352,7353,4173,7354, # 7024
7355,4845,7356,7357,7358,7359,7360,7361,7362,7363,7364,7365,7366,7367,7368,7369, # 7040
7370,7371,7372,7373,7374,7375,7376,7377,7378,7379,7380,7381,7382,7383,7384,7385, # 7056
7386,7387,7388,4846,7389,7390,7391,7392,7393,7394,7395,7396,7397,7398,7399,7400, # 7072
7401,7402,7403,7404,7405,3672,7406,7407,7408,7409,7410,7411,7412,7413,7414,7415, # 7088
7416,7417,7418,7419,7420,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431, # 7104
7432,7433,7434,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447, # 7120
7448,7449,7450,7451,7452,7453,4452,7454,3200,7455,7456,7457,7458,7459,7460,7461, # 7136
7462,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,4847,7475,7476, # 7152
7477,3133,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490,7491, # 7168
7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,3347,7503,7504,7505,7506, # 7184
7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518,7519,7520,7521,4848, # 7200
7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532,7533,7534,7535,7536,7537, # 7216
7538,7539,7540,7541,7542,7543,7544,7545,7546,7547,7548,7549,3801,4849,7550,7551, # 7232
7552,7553,7554,7555,7556,7557,7558,7559,7560,7561,7562,7563,7564,7565,7566,7567, # 7248
7568,7569,3035,7570,7571,7572,7573,7574,7575,7576,7577,7578,7579,7580,7581,7582, # 7264
7583,7584,7585,7586,7587,7588,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598, # 7280
7599,7600,7601,7602,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614, # 7296
7615,7616,4850,7617,7618,3802,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628, # 7312
7629,7630,7631,7632,4851,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643, # 7328
7644,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658,7659, # 7344
7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,4453,7671,7672,7673,7674, # 7360
7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686,7687,7688,7689,7690, # 7376
7691,7692,7693,7694,7695,7696,7697,3443,7698,7699,7700,7701,7702,4454,7703,7704, # 7392
7705,7706,7707,7708,7709,7710,7711,7712,7713,2472,7714,7715,7716,7717,7718,7719, # 7408
7720,7721,7722,7723,7724,7725,7726,7727,7728,7729,7730,7731,3954,7732,7733,7734, # 7424
7735,7736,7737,7738,7739,7740,7741,7742,7743,7744,7745,7746,7747,7748,7749,7750, # 7440
3134,7751,7752,4852,7753,7754,7755,4853,7756,7757,7758,7759,7760,4174,7761,7762, # 7456
7763,7764,7765,7766,7767,7768,7769,7770,7771,7772,7773,7774,7775,7776,7777,7778, # 7472
7779,7780,7781,7782,7783,7784,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794, # 7488
7795,7796,7797,7798,7799,7800,7801,7802,7803,7804,7805,4854,7806,7807,7808,7809, # 7504
7810,7811,7812,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825, # 7520
4855,7826,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840, # 7536
7841,7842,7843,7844,7845,7846,7847,3955,7848,7849,7850,7851,7852,7853,7854,7855, # 7552
7856,7857,7858,7859,7860,3444,7861,7862,7863,7864,7865,7866,7867,7868,7869,7870, # 7568
7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882,7883,7884,7885,7886, # 7584
7887,7888,7889,7890,7891,4175,7892,7893,7894,7895,7896,4856,4857,7897,7898,7899, # 7600
7900,2598,7901,7902,7903,7904,7905,7906,7907,7908,4455,7909,7910,7911,7912,7913, # 7616
7914,3201,7915,7916,7917,7918,7919,7920,7921,4858,7922,7923,7924,7925,7926,7927, # 7632
7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938,7939,7940,7941,7942,7943, # 7648
7944,7945,7946,7947,7948,7949,7950,7951,7952,7953,7954,7955,7956,7957,7958,7959, # 7664
7960,7961,7962,7963,7964,7965,7966,7967,7968,7969,7970,7971,7972,7973,7974,7975, # 7680
7976,7977,7978,7979,7980,7981,4859,7982,7983,7984,7985,7986,7987,7988,7989,7990, # 7696
7991,7992,7993,7994,7995,7996,4860,7997,7998,7999,8000,8001,8002,8003,8004,8005, # 7712
8006,8007,8008,8009,8010,8011,8012,8013,8014,8015,8016,4176,8017,8018,8019,8020, # 7728
8021,8022,8023,4861,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035, # 7744
8036,4862,4456,8037,8038,8039,8040,4863,8041,8042,8043,8044,8045,8046,8047,8048, # 7760
8049,8050,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064, # 7776
8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078,8079,8080, # 7792
8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092,8093,8094,8095,8096, # 7808
8097,8098,8099,4864,4177,8100,8101,8102,8103,8104,8105,8106,8107,8108,8109,8110, # 7824
8111,8112,8113,8114,8115,8116,8117,8118,8119,8120,4178,8121,8122,8123,8124,8125, # 7840
8126,8127,8128,8129,8130,8131,8132,8133,8134,8135,8136,8137,8138,8139,8140,8141, # 7856
8142,8143,8144,8145,4865,4866,8146,8147,8148,8149,8150,8151,8152,8153,8154,8155, # 7872
8156,8157,8158,8159,8160,8161,8162,8163,8164,8165,4179,8166,8167,8168,8169,8170, # 7888
8171,8172,8173,8174,8175,8176,8177,8178,8179,8180,8181,4457,8182,8183,8184,8185, # 7904
8186,8187,8188,8189,8190,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201, # 7920
8202,8203,8204,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217, # 7936
8218,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232,8233, # 7952
8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246,8247,8248,8249, # 7968
8250,8251,8252,8253,8254,8255,8256,3445,8257,8258,8259,8260,8261,8262,4458,8263, # 7984
8264,8265,8266,8267,8268,8269,8270,8271,8272,4459,8273,8274,8275,8276,3550,8277, # 8000
8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288,8289,4460,8290,8291,8292, # 8016
8293,8294,8295,8296,8297,8298,8299,8300,8301,8302,8303,8304,8305,8306,8307,4867, # 8032
8308,8309,8310,8311,8312,3551,8313,8314,8315,8316,8317,8318,8319,8320,8321,8322, # 8048
8323,8324,8325,8326,4868,8327,8328,8329,8330,8331,8332,8333,8334,8335,8336,8337, # 8064
8338,8339,8340,8341,8342,8343,8344,8345,8346,8347,8348,8349,8350,8351,8352,8353, # 8080
8354,8355,8356,8357,8358,8359,8360,8361,8362,8363,4869,4461,8364,8365,8366,8367, # 8096
8368,8369,8370,4870,8371,8372,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382, # 8112
8383,8384,8385,8386,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398, # 8128
8399,8400,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,4871,8411,8412,8413, # 8144
8414,8415,8416,8417,8418,8419,8420,8421,8422,4462,8423,8424,8425,8426,8427,8428, # 8160
8429,8430,8431,8432,8433,2986,8434,8435,8436,8437,8438,8439,8440,8441,8442,8443, # 8176
8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456,8457,8458,8459, # 8192
8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470,8471,8472,8473,8474,8475, # 8208
8476,8477,8478,4180,8479,8480,8481,8482,8483,8484,8485,8486,8487,8488,8489,8490, # 8224
8491,8492,8493,8494,8495,8496,8497,8498,8499,8500,8501,8502,8503,8504,8505,8506, # 8240
8507,8508,8509,8510,8511,8512,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522, # 8256
8523,8524,8525,8526,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538, # 8272
8539,8540,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554, # 8288
8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,4872,8565,8566,8567,8568,8569, # 8304
8570,8571,8572,8573,4873,8574,8575,8576,8577,8578,8579,8580,8581,8582,8583,8584, # 8320
8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596,8597,8598,8599,8600, # 8336
8601,8602,8603,8604,8605,3803,8606,8607,8608,8609,8610,8611,8612,8613,4874,3804, # 8352
8614,8615,8616,8617,8618,8619,8620,8621,3956,8622,8623,8624,8625,8626,8627,8628, # 8368
8629,8630,8631,8632,8633,8634,8635,8636,8637,8638,2865,8639,8640,8641,8642,8643, # 8384
8644,8645,8646,8647,8648,8649,8650,8651,8652,8653,8654,8655,8656,4463,8657,8658, # 8400
8659,4875,4876,8660,8661,8662,8663,8664,8665,8666,8667,8668,8669,8670,8671,8672, # 8416
8673,8674,8675,8676,8677,8678,8679,8680,8681,4464,8682,8683,8684,8685,8686,8687, # 8432
8688,8689,8690,8691,8692,8693,8694,8695,8696,8697,8698,8699,8700,8701,8702,8703, # 8448
8704,8705,8706,8707,8708,8709,2261,8710,8711,8712,8713,8714,8715,8716,8717,8718, # 8464
8719,8720,8721,8722,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,4181, # 8480
8734,8735,8736,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749, # 8496
8750,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,4877,8764, # 8512
8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778,8779,8780, # 8528
8781,8782,8783,8784,8785,8786,8787,8788,4878,8789,4879,8790,8791,8792,4880,8793, # 8544
8794,8795,8796,8797,8798,8799,8800,8801,4881,8802,8803,8804,8805,8806,8807,8808, # 8560
8809,8810,8811,8812,8813,8814,8815,3957,8816,8817,8818,8819,8820,8821,8822,8823, # 8576
8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834,8835,8836,8837,8838,8839, # 8592
8840,8841,8842,8843,8844,8845,8846,8847,4882,8848,8849,8850,8851,8852,8853,8854, # 8608
8855,8856,8857,8858,8859,8860,8861,8862,8863,8864,8865,8866,8867,8868,8869,8870, # 8624
8871,8872,8873,8874,8875,8876,8877,8878,8879,8880,8881,8882,8883,8884,3202,8885, # 8640
8886,8887,8888,8889,8890,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901, # 8656
8902,8903,8904,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917, # 8672
8918,8919,8920,8921,8922,8923,8924,4465,8925,8926,8927,8928,8929,8930,8931,8932, # 8688
4883,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,2214,8944,8945,8946, # 8704
8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960,8961,8962, # 8720
8963,8964,8965,4884,8966,8967,8968,8969,8970,8971,8972,8973,8974,8975,8976,8977, # 8736
8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988,8989,8990,8991,8992,4885, # 8752
8993,8994,8995,8996,8997,8998,8999,9000,9001,9002,9003,9004,9005,9006,9007,9008, # 8768
9009,9010,9011,9012,9013,9014,9015,9016,9017,9018,9019,9020,9021,4182,9022,9023, # 8784
9024,9025,9026,9027,9028,9029,9030,9031,9032,9033,9034,9035,9036,9037,9038,9039, # 8800
9040,9041,9042,9043,9044,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055, # 8816
9056,9057,9058,9059,9060,9061,9062,9063,4886,9064,9065,9066,9067,9068,9069,4887, # 8832
9070,9071,9072,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085, # 8848
9086,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100,9101, # 8864
9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114,9115,9116,9117, # 8880
9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128,9129,9130,9131,9132,9133, # 8896
9134,9135,9136,9137,9138,9139,9140,9141,3958,9142,9143,9144,9145,9146,9147,9148, # 8912
9149,9150,9151,4888,9152,9153,9154,9155,9156,9157,9158,9159,9160,9161,9162,9163, # 8928
9164,9165,9166,9167,9168,9169,9170,9171,9172,9173,9174,9175,4889,9176,9177,9178, # 8944
9179,9180,9181,9182,9183,9184,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194, # 8960
9195,9196,9197,9198,9199,9200,9201,9202,9203,4890,9204,9205,9206,9207,9208,9209, # 8976
9210,9211,9212,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,4466,9223,9224, # 8992
9225,9226,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240, # 9008
9241,9242,9243,9244,9245,4891,9246,9247,9248,9249,9250,9251,9252,9253,9254,9255, # 9024
9256,9257,4892,9258,9259,9260,9261,4893,4894,9262,9263,9264,9265,9266,9267,9268, # 9040
9269,9270,9271,9272,9273,4467,9274,9275,9276,9277,9278,9279,9280,9281,9282,9283, # 9056
9284,9285,3673,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296,9297,9298, # 9072
9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310,9311,9312,9313,9314, # 9088
9315,9316,9317,9318,9319,9320,9321,9322,4895,9323,9324,9325,9326,9327,9328,9329, # 9104
9330,9331,9332,9333,9334,9335,9336,9337,9338,9339,9340,9341,9342,9343,9344,9345, # 9120
9346,9347,4468,9348,9349,9350,9351,9352,9353,9354,9355,9356,9357,9358,9359,9360, # 9136
9361,9362,9363,9364,9365,9366,9367,9368,9369,9370,9371,9372,9373,4896,9374,4469, # 9152
9375,9376,9377,9378,9379,4897,9380,9381,9382,9383,9384,9385,9386,9387,9388,9389, # 9168
9390,9391,9392,9393,9394,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405, # 9184
9406,4470,9407,2751,9408,9409,3674,3552,9410,9411,9412,9413,9414,9415,9416,9417, # 9200
9418,9419,9420,9421,4898,9422,9423,9424,9425,9426,9427,9428,9429,3959,9430,9431, # 9216
9432,9433,9434,9435,9436,4471,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446, # 9232
9447,9448,9449,9450,3348,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461, # 9248
9462,9463,9464,9465,9466,9467,9468,9469,9470,9471,9472,4899,9473,9474,9475,9476, # 9264
9477,4900,9478,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,3349,9489,9490, # 9280
9491,9492,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506, # 9296
9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520,4901,9521, # 9312
9522,9523,9524,9525,9526,4902,9527,9528,9529,9530,9531,9532,9533,9534,9535,9536, # 9328
9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548,9549,9550,9551,9552, # 9344
9553,9554,9555,9556,9557,9558,9559,9560,9561,9562,9563,9564,9565,9566,9567,9568, # 9360
9569,9570,9571,9572,9573,9574,9575,9576,9577,9578,9579,9580,9581,9582,9583,9584, # 9376
3805,9585,9586,9587,9588,9589,9590,9591,9592,9593,9594,9595,9596,9597,9598,9599, # 9392
9600,9601,9602,4903,9603,9604,9605,9606,9607,4904,9608,9609,9610,9611,9612,9613, # 9408
9614,4905,9615,9616,9617,9618,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628, # 9424
9629,9630,9631,9632,4906,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643, # 9440
4907,9644,9645,9646,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658, # 9456
9659,9660,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,4183,9673, # 9472
9674,9675,9676,9677,4908,9678,9679,9680,9681,4909,9682,9683,9684,9685,9686,9687, # 9488
9688,9689,9690,4910,9691,9692,9693,3675,9694,9695,9696,2945,9697,9698,9699,9700, # 9504
9701,9702,9703,9704,9705,4911,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715, # 9520
9716,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730,9731, # 9536
9732,9733,9734,9735,4912,9736,9737,9738,9739,9740,4913,9741,9742,9743,9744,9745, # 9552
9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758,4914,9759,9760, # 9568
9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772,9773,9774,9775,9776, # 9584
9777,9778,9779,9780,9781,9782,4915,9783,9784,9785,9786,9787,9788,9789,9790,9791, # 9600
9792,9793,4916,9794,9795,9796,9797,9798,9799,9800,9801,9802,9803,9804,9805,9806, # 9616
9807,9808,9809,9810,9811,9812,9813,9814,9815,9816,9817,9818,9819,9820,9821,9822, # 9632
9823,9824,9825,9826,9827,9828,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838, # 9648
9839,9840,9841,9842,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854, # 9664
9855,9856,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,4917,9869, # 9680
9870,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884,9885, # 9696
9886,9887,9888,9889,9890,9891,9892,4472,9893,9894,9895,9896,9897,3806,9898,9899, # 9712
9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912,9913,9914,4918, # 9728
9915,9916,9917,4919,9918,9919,9920,9921,4184,9922,9923,9924,9925,9926,9927,9928, # 9744
9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940,9941,9942,9943,9944, # 9760
9945,9946,4920,9947,9948,9949,9950,9951,9952,9953,9954,9955,4185,9956,9957,9958, # 9776
9959,9960,9961,9962,9963,9964,9965,4921,9966,9967,9968,4473,9969,9970,9971,9972, # 9792
9973,9974,9975,9976,9977,4474,9978,9979,9980,9981,9982,9983,9984,9985,9986,9987, # 9808
9988,9989,9990,9991,9992,9993,9994,9995,9996,9997,9998,9999,10000,10001,10002,10003, # 9824
10004,10005,10006,10007,10008,10009,10010,10011,10012,10013,10014,10015,10016,10017,10018,10019, # 9840
10020,10021,4922,10022,4923,10023,10024,10025,10026,10027,10028,10029,10030,10031,10032,10033, # 9856
10034,10035,10036,10037,10038,10039,10040,10041,10042,10043,10044,10045,10046,10047,10048,4924, # 9872
10049,10050,10051,10052,10053,10054,10055,10056,10057,10058,10059,10060,10061,10062,10063,10064, # 9888
10065,10066,10067,10068,10069,10070,10071,10072,10073,10074,10075,10076,10077,10078,10079,10080, # 9904
10081,10082,10083,10084,10085,10086,10087,4475,10088,10089,10090,10091,10092,10093,10094,10095, # 9920
10096,10097,4476,10098,10099,10100,10101,10102,10103,10104,10105,10106,10107,10108,10109,10110, # 9936
10111,2174,10112,10113,10114,10115,10116,10117,10118,10119,10120,10121,10122,10123,10124,10125, # 9952
10126,10127,10128,10129,10130,10131,10132,10133,10134,10135,10136,10137,10138,10139,10140,3807, # 9968
4186,4925,10141,10142,10143,10144,10145,10146,10147,4477,4187,10148,10149,10150,10151,10152, # 9984
10153,4188,10154,10155,10156,10157,10158,10159,10160,10161,4926,10162,10163,10164,10165,10166, #10000
10167,10168,10169,10170,10171,10172,10173,10174,10175,10176,10177,10178,10179,10180,10181,10182, #10016
10183,10184,10185,10186,10187,10188,10189,10190,10191,10192,3203,10193,10194,10195,10196,10197, #10032
10198,10199,10200,4478,10201,10202,10203,10204,4479,10205,10206,10207,10208,10209,10210,10211, #10048
10212,10213,10214,10215,10216,10217,10218,10219,10220,10221,10222,10223,10224,10225,10226,10227, #10064
10228,10229,10230,10231,10232,10233,10234,4927,10235,10236,10237,10238,10239,10240,10241,10242, #10080
10243,10244,10245,10246,10247,10248,10249,10250,10251,10252,10253,10254,10255,10256,10257,10258, #10096
10259,10260,10261,10262,10263,10264,10265,10266,10267,10268,10269,10270,10271,10272,10273,4480, #10112
4928,4929,10274,10275,10276,10277,10278,10279,10280,10281,10282,10283,10284,10285,10286,10287, #10128
10288,10289,10290,10291,10292,10293,10294,10295,10296,10297,10298,10299,10300,10301,10302,10303, #10144
10304,10305,10306,10307,10308,10309,10310,10311,10312,10313,10314,10315,10316,10317,10318,10319, #10160
10320,10321,10322,10323,10324,10325,10326,10327,10328,10329,10330,10331,10332,10333,10334,4930, #10176
10335,10336,10337,10338,10339,10340,10341,10342,4931,10343,10344,10345,10346,10347,10348,10349, #10192
10350,10351,10352,10353,10354,10355,3088,10356,2786,10357,10358,10359,10360,4189,10361,10362, #10208
10363,10364,10365,10366,10367,10368,10369,10370,10371,10372,10373,10374,10375,4932,10376,10377, #10224
10378,10379,10380,10381,10382,10383,10384,10385,10386,10387,10388,10389,10390,10391,10392,4933, #10240
10393,10394,10395,4934,10396,10397,10398,10399,10400,10401,10402,10403,10404,10405,10406,10407, #10256
10408,10409,10410,10411,10412,3446,10413,10414,10415,10416,10417,10418,10419,10420,10421,10422, #10272
10423,4935,10424,10425,10426,10427,10428,10429,10430,4936,10431,10432,10433,10434,10435,10436, #10288
10437,10438,10439,10440,10441,10442,10443,4937,10444,10445,10446,10447,4481,10448,10449,10450, #10304
10451,10452,10453,10454,10455,10456,10457,10458,10459,10460,10461,10462,10463,10464,10465,10466, #10320
10467,10468,10469,10470,10471,10472,10473,10474,10475,10476,10477,10478,10479,10480,10481,10482, #10336
10483,10484,10485,10486,10487,10488,10489,10490,10491,10492,10493,10494,10495,10496,10497,10498, #10352
10499,10500,10501,10502,10503,10504,10505,4938,10506,10507,10508,10509,10510,2552,10511,10512, #10368
10513,10514,10515,10516,3447,10517,10518,10519,10520,10521,10522,10523,10524,10525,10526,10527, #10384
10528,10529,10530,10531,10532,10533,10534,10535,10536,10537,10538,10539,10540,10541,10542,10543, #10400
4482,10544,4939,10545,10546,10547,10548,10549,10550,10551,10552,10553,10554,10555,10556,10557, #10416
10558,10559,10560,10561,10562,10563,10564,10565,10566,10567,3676,4483,10568,10569,10570,10571, #10432
10572,3448,10573,10574,10575,10576,10577,10578,10579,10580,10581,10582,10583,10584,10585,10586, #10448
10587,10588,10589,10590,10591,10592,10593,10594,10595,10596,10597,10598,10599,10600,10601,10602, #10464
10603,10604,10605,10606,10607,10608,10609,10610,10611,10612,10613,10614,10615,10616,10617,10618, #10480
10619,10620,10621,10622,10623,10624,10625,10626,10627,4484,10628,10629,10630,10631,10632,4940, #10496
10633,10634,10635,10636,10637,10638,10639,10640,10641,10642,10643,10644,10645,10646,10647,10648, #10512
10649,10650,10651,10652,10653,10654,10655,10656,4941,10657,10658,10659,2599,10660,10661,10662, #10528
10663,10664,10665,10666,3089,10667,10668,10669,10670,10671,10672,10673,10674,10675,10676,10677, #10544
10678,10679,10680,4942,10681,10682,10683,10684,10685,10686,10687,10688,10689,10690,10691,10692, #10560
10693,10694,10695,10696,10697,4485,10698,10699,10700,10701,10702,10703,10704,4943,10705,3677, #10576
10706,10707,10708,10709,10710,10711,10712,4944,10713,10714,10715,10716,10717,10718,10719,10720, #10592
10721,10722,10723,10724,10725,10726,10727,10728,4945,10729,10730,10731,10732,10733,10734,10735, #10608
10736,10737,10738,10739,10740,10741,10742,10743,10744,10745,10746,10747,10748,10749,10750,10751, #10624
10752,10753,10754,10755,10756,10757,10758,10759,10760,10761,4946,10762,10763,10764,10765,10766, #10640
10767,4947,4948,10768,10769,10770,10771,10772,10773,10774,10775,10776,10777,10778,10779,10780, #10656
10781,10782,10783,10784,10785,10786,10787,10788,10789,10790,10791,10792,10793,10794,10795,10796, #10672
10797,10798,10799,10800,10801,10802,10803,10804,10805,10806,10807,10808,10809,10810,10811,10812, #10688
10813,10814,10815,10816,10817,10818,10819,10820,10821,10822,10823,10824,10825,10826,10827,10828, #10704
10829,10830,10831,10832,10833,10834,10835,10836,10837,10838,10839,10840,10841,10842,10843,10844, #10720
10845,10846,10847,10848,10849,10850,10851,10852,10853,10854,10855,10856,10857,10858,10859,10860, #10736
10861,10862,10863,10864,10865,10866,10867,10868,10869,10870,10871,10872,10873,10874,10875,10876, #10752
10877,10878,4486,10879,10880,10881,10882,10883,10884,10885,4949,10886,10887,10888,10889,10890, #10768
10891,10892,10893,10894,10895,10896,10897,10898,10899,10900,10901,10902,10903,10904,10905,10906, #10784
10907,10908,10909,10910,10911,10912,10913,10914,10915,10916,10917,10918,10919,4487,10920,10921, #10800
10922,10923,10924,10925,10926,10927,10928,10929,10930,10931,10932,4950,10933,10934,10935,10936, #10816
10937,10938,10939,10940,10941,10942,10943,10944,10945,10946,10947,10948,10949,4488,10950,10951, #10832
10952,10953,10954,10955,10956,10957,10958,10959,4190,10960,10961,10962,10963,10964,10965,10966, #10848
10967,10968,10969,10970,10971,10972,10973,10974,10975,10976,10977,10978,10979,10980,10981,10982, #10864
10983,10984,10985,10986,10987,10988,10989,10990,10991,10992,10993,10994,10995,10996,10997,10998, #10880
10999,11000,11001,11002,11003,11004,11005,11006,3960,11007,11008,11009,11010,11011,11012,11013, #10896
11014,11015,11016,11017,11018,11019,11020,11021,11022,11023,11024,11025,11026,11027,11028,11029, #10912
11030,11031,11032,4951,11033,11034,11035,11036,11037,11038,11039,11040,11041,11042,11043,11044, #10928
11045,11046,11047,4489,11048,11049,11050,11051,4952,11052,11053,11054,11055,11056,11057,11058, #10944
4953,11059,11060,11061,11062,11063,11064,11065,11066,11067,11068,11069,11070,11071,4954,11072, #10960
11073,11074,11075,11076,11077,11078,11079,11080,11081,11082,11083,11084,11085,11086,11087,11088, #10976
11089,11090,11091,11092,11093,11094,11095,11096,11097,11098,11099,11100,11101,11102,11103,11104, #10992
11105,11106,11107,11108,11109,11110,11111,11112,11113,11114,11115,3808,11116,11117,11118,11119, #11008
11120,11121,11122,11123,11124,11125,11126,11127,11128,11129,11130,11131,11132,11133,11134,4955, #11024
11135,11136,11137,11138,11139,11140,11141,11142,11143,11144,11145,11146,11147,11148,11149,11150, #11040
11151,11152,11153,11154,11155,11156,11157,11158,11159,11160,11161,4956,11162,11163,11164,11165, #11056
11166,11167,11168,11169,11170,11171,11172,11173,11174,11175,11176,11177,11178,11179,11180,4957, #11072
11181,11182,11183,11184,11185,11186,4958,11187,11188,11189,11190,11191,11192,11193,11194,11195, #11088
11196,11197,11198,11199,11200,3678,11201,11202,11203,11204,11205,11206,4191,11207,11208,11209, #11104
11210,11211,11212,11213,11214,11215,11216,11217,11218,11219,11220,11221,11222,11223,11224,11225, #11120
11226,11227,11228,11229,11230,11231,11232,11233,11234,11235,11236,11237,11238,11239,11240,11241, #11136
11242,11243,11244,11245,11246,11247,11248,11249,11250,11251,4959,11252,11253,11254,11255,11256, #11152
11257,11258,11259,11260,11261,11262,11263,11264,11265,11266,11267,11268,11269,11270,11271,11272, #11168
11273,11274,11275,11276,11277,11278,11279,11280,11281,11282,11283,11284,11285,11286,11287,11288, #11184
11289,11290,11291,11292,11293,11294,11295,11296,11297,11298,11299,11300,11301,11302,11303,11304, #11200
11305,11306,11307,11308,11309,11310,11311,11312,11313,11314,3679,11315,11316,11317,11318,4490, #11216
11319,11320,11321,11322,11323,11324,11325,11326,11327,11328,11329,11330,11331,11332,11333,11334, #11232
11335,11336,11337,11338,11339,11340,11341,11342,11343,11344,11345,11346,11347,4960,11348,11349, #11248
11350,11351,11352,11353,11354,11355,11356,11357,11358,11359,11360,11361,11362,11363,11364,11365, #11264
11366,11367,11368,11369,11370,11371,11372,11373,11374,11375,11376,11377,3961,4961,11378,11379, #11280
11380,11381,11382,11383,11384,11385,11386,11387,11388,11389,11390,11391,11392,11393,11394,11395, #11296
11396,11397,4192,11398,11399,11400,11401,11402,11403,11404,11405,11406,11407,11408,11409,11410, #11312
11411,4962,11412,11413,11414,11415,11416,11417,11418,11419,11420,11421,11422,11423,11424,11425, #11328
11426,11427,11428,11429,11430,11431,11432,11433,11434,11435,11436,11437,11438,11439,11440,11441, #11344
11442,11443,11444,11445,11446,11447,11448,11449,11450,11451,11452,11453,11454,11455,11456,11457, #11360
11458,11459,11460,11461,11462,11463,11464,11465,11466,11467,11468,11469,4963,11470,11471,4491, #11376
11472,11473,11474,11475,4964,11476,11477,11478,11479,11480,11481,11482,11483,11484,11485,11486, #11392
11487,11488,11489,11490,11491,11492,4965,11493,11494,11495,11496,11497,11498,11499,11500,11501, #11408
11502,11503,11504,11505,11506,11507,11508,11509,11510,11511,11512,11513,11514,11515,11516,11517, #11424
11518,11519,11520,11521,11522,11523,11524,11525,11526,11527,11528,11529,3962,11530,11531,11532, #11440
11533,11534,11535,11536,11537,11538,11539,11540,11541,11542,11543,11544,11545,11546,11547,11548, #11456
11549,11550,11551,11552,11553,11554,11555,11556,11557,11558,11559,11560,11561,11562,11563,11564, #11472
4193,4194,11565,11566,11567,11568,11569,11570,11571,11572,11573,11574,11575,11576,11577,11578, #11488
11579,11580,11581,11582,11583,11584,11585,11586,11587,11588,11589,11590,11591,4966,4195,11592, #11504
11593,11594,11595,11596,11597,11598,11599,11600,11601,11602,11603,11604,3090,11605,11606,11607, #11520
11608,11609,11610,4967,11611,11612,11613,11614,11615,11616,11617,11618,11619,11620,11621,11622, #11536
11623,11624,11625,11626,11627,11628,11629,11630,11631,11632,11633,11634,11635,11636,11637,11638, #11552
11639,11640,11641,11642,11643,11644,11645,11646,11647,11648,11649,11650,11651,11652,11653,11654, #11568
11655,11656,11657,11658,11659,11660,11661,11662,11663,11664,11665,11666,11667,11668,11669,11670, #11584
11671,11672,11673,11674,4968,11675,11676,11677,11678,11679,11680,11681,11682,11683,11684,11685, #11600
11686,11687,11688,11689,11690,11691,11692,11693,3809,11694,11695,11696,11697,11698,11699,11700, #11616
11701,11702,11703,11704,11705,11706,11707,11708,11709,11710,11711,11712,11713,11714,11715,11716, #11632
11717,11718,3553,11719,11720,11721,11722,11723,11724,11725,11726,11727,11728,11729,11730,4969, #11648
11731,11732,11733,11734,11735,11736,11737,11738,11739,11740,4492,11741,11742,11743,11744,11745, #11664
11746,11747,11748,11749,11750,11751,11752,4970,11753,11754,11755,11756,11757,11758,11759,11760, #11680
11761,11762,11763,11764,11765,11766,11767,11768,11769,11770,11771,11772,11773,11774,11775,11776, #11696
11777,11778,11779,11780,11781,11782,11783,11784,11785,11786,11787,11788,11789,11790,4971,11791, #11712
11792,11793,11794,11795,11796,11797,4972,11798,11799,11800,11801,11802,11803,11804,11805,11806, #11728
11807,11808,11809,11810,4973,11811,11812,11813,11814,11815,11816,11817,11818,11819,11820,11821, #11744
11822,11823,11824,11825,11826,11827,11828,11829,11830,11831,11832,11833,11834,3680,3810,11835, #11760
11836,4974,11837,11838,11839,11840,11841,11842,11843,11844,11845,11846,11847,11848,11849,11850, #11776
11851,11852,11853,11854,11855,11856,11857,11858,11859,11860,11861,11862,11863,11864,11865,11866, #11792
11867,11868,11869,11870,11871,11872,11873,11874,11875,11876,11877,11878,11879,11880,11881,11882, #11808
11883,11884,4493,11885,11886,11887,11888,11889,11890,11891,11892,11893,11894,11895,11896,11897, #11824
11898,11899,11900,11901,11902,11903,11904,11905,11906,11907,11908,11909,11910,11911,11912,11913, #11840
11914,11915,4975,11916,11917,11918,11919,11920,11921,11922,11923,11924,11925,11926,11927,11928, #11856
11929,11930,11931,11932,11933,11934,11935,11936,11937,11938,11939,11940,11941,11942,11943,11944, #11872
11945,11946,11947,11948,11949,4976,11950,11951,11952,11953,11954,11955,11956,11957,11958,11959, #11888
11960,11961,11962,11963,11964,11965,11966,11967,11968,11969,11970,11971,11972,11973,11974,11975, #11904
11976,11977,11978,11979,11980,11981,11982,11983,11984,11985,11986,11987,4196,11988,11989,11990, #11920
11991,11992,4977,11993,11994,11995,11996,11997,11998,11999,12000,12001,12002,12003,12004,12005, #11936
12006,12007,12008,12009,12010,12011,12012,12013,12014,12015,12016,12017,12018,12019,12020,12021, #11952
12022,12023,12024,12025,12026,12027,12028,12029,12030,12031,12032,12033,12034,12035,12036,12037, #11968
12038,12039,12040,12041,12042,12043,12044,12045,12046,12047,12048,12049,12050,12051,12052,12053, #11984
12054,12055,12056,12057,12058,12059,12060,12061,4978,12062,12063,12064,12065,12066,12067,12068, #12000
12069,12070,12071,12072,12073,12074,12075,12076,12077,12078,12079,12080,12081,12082,12083,12084, #12016
12085,12086,12087,12088,12089,12090,12091,12092,12093,12094,12095,12096,12097,12098,12099,12100, #12032
12101,12102,12103,12104,12105,12106,12107,12108,12109,12110,12111,12112,12113,12114,12115,12116, #12048
12117,12118,12119,12120,12121,12122,12123,4979,12124,12125,12126,12127,12128,4197,12129,12130, #12064
12131,12132,12133,12134,12135,12136,12137,12138,12139,12140,12141,12142,12143,12144,12145,12146, #12080
12147,12148,12149,12150,12151,12152,12153,12154,4980,12155,12156,12157,12158,12159,12160,4494, #12096
12161,12162,12163,12164,3811,12165,12166,12167,12168,12169,4495,12170,12171,4496,12172,12173, #12112
12174,12175,12176,3812,12177,12178,12179,12180,12181,12182,12183,12184,12185,12186,12187,12188, #12128
12189,12190,12191,12192,12193,12194,12195,12196,12197,12198,12199,12200,12201,12202,12203,12204, #12144
12205,12206,12207,12208,12209,12210,12211,12212,12213,12214,12215,12216,12217,12218,12219,12220, #12160
12221,4981,12222,12223,12224,12225,12226,12227,12228,12229,12230,12231,12232,12233,12234,12235, #12176
4982,12236,12237,12238,12239,12240,12241,12242,12243,12244,12245,4983,12246,12247,12248,12249, #12192
4984,12250,12251,12252,12253,12254,12255,12256,12257,12258,12259,12260,12261,12262,12263,12264, #12208
4985,12265,4497,12266,12267,12268,12269,12270,12271,12272,12273,12274,12275,12276,12277,12278, #12224
12279,12280,12281,12282,12283,12284,12285,12286,12287,4986,12288,12289,12290,12291,12292,12293, #12240
12294,12295,12296,2473,12297,12298,12299,12300,12301,12302,12303,12304,12305,12306,12307,12308, #12256
12309,12310,12311,12312,12313,12314,12315,12316,12317,12318,12319,3963,12320,12321,12322,12323, #12272
12324,12325,12326,12327,12328,12329,12330,12331,12332,4987,12333,12334,12335,12336,12337,12338, #12288
12339,12340,12341,12342,12343,12344,12345,12346,12347,12348,12349,12350,12351,12352,12353,12354, #12304
12355,12356,12357,12358,12359,3964,12360,12361,12362,12363,12364,12365,12366,12367,12368,12369, #12320
12370,3965,12371,12372,12373,12374,12375,12376,12377,12378,12379,12380,12381,12382,12383,12384, #12336
12385,12386,12387,12388,12389,12390,12391,12392,12393,12394,12395,12396,12397,12398,12399,12400, #12352
12401,12402,12403,12404,12405,12406,12407,12408,4988,12409,12410,12411,12412,12413,12414,12415, #12368
12416,12417,12418,12419,12420,12421,12422,12423,12424,12425,12426,12427,12428,12429,12430,12431, #12384
12432,12433,12434,12435,12436,12437,12438,3554,12439,12440,12441,12442,12443,12444,12445,12446, #12400
12447,12448,12449,12450,12451,12452,12453,12454,12455,12456,12457,12458,12459,12460,12461,12462, #12416
12463,12464,4989,12465,12466,12467,12468,12469,12470,12471,12472,12473,12474,12475,12476,12477, #12432
12478,12479,12480,4990,12481,12482,12483,12484,12485,12486,12487,12488,12489,4498,12490,12491, #12448
12492,12493,12494,12495,12496,12497,12498,12499,12500,12501,12502,12503,12504,12505,12506,12507, #12464
12508,12509,12510,12511,12512,12513,12514,12515,12516,12517,12518,12519,12520,12521,12522,12523, #12480
12524,12525,12526,12527,12528,12529,12530,12531,12532,12533,12534,12535,12536,12537,12538,12539, #12496
12540,12541,12542,12543,12544,12545,12546,12547,12548,12549,12550,12551,4991,12552,12553,12554, #12512
12555,12556,12557,12558,12559,12560,12561,12562,12563,12564,12565,12566,12567,12568,12569,12570, #12528
12571,12572,12573,12574,12575,12576,12577,12578,3036,12579,12580,12581,12582,12583,3966,12584, #12544
12585,12586,12587,12588,12589,12590,12591,12592,12593,12594,12595,12596,12597,12598,12599,12600, #12560
12601,12602,12603,12604,12605,12606,12607,12608,12609,12610,12611,12612,12613,12614,12615,12616, #12576
12617,12618,12619,12620,12621,12622,12623,12624,12625,12626,12627,12628,12629,12630,12631,12632, #12592
12633,12634,12635,12636,12637,12638,12639,12640,12641,12642,12643,12644,12645,12646,4499,12647, #12608
12648,12649,12650,12651,12652,12653,12654,12655,12656,12657,12658,12659,12660,12661,12662,12663, #12624
12664,12665,12666,12667,12668,12669,12670,12671,12672,12673,12674,12675,12676,12677,12678,12679, #12640
12680,12681,12682,12683,12684,12685,12686,12687,12688,12689,12690,12691,12692,12693,12694,12695, #12656
12696,12697,12698,4992,12699,12700,12701,12702,12703,12704,12705,12706,12707,12708,12709,12710, #12672
12711,12712,12713,12714,12715,12716,12717,12718,12719,12720,12721,12722,12723,12724,12725,12726, #12688
12727,12728,12729,12730,12731,12732,12733,12734,12735,12736,12737,12738,12739,12740,12741,12742, #12704
12743,12744,12745,12746,12747,12748,12749,12750,12751,12752,12753,12754,12755,12756,12757,12758, #12720
12759,12760,12761,12762,12763,12764,12765,12766,12767,12768,12769,12770,12771,12772,12773,12774, #12736
12775,12776,12777,12778,4993,2175,12779,12780,12781,12782,12783,12784,12785,12786,4500,12787, #12752
12788,12789,12790,12791,12792,12793,12794,12795,12796,12797,12798,12799,12800,12801,12802,12803, #12768
12804,12805,12806,12807,12808,12809,12810,12811,12812,12813,12814,12815,12816,12817,12818,12819, #12784
12820,12821,12822,12823,12824,12825,12826,4198,3967,12827,12828,12829,12830,12831,12832,12833, #12800
12834,12835,12836,12837,12838,12839,12840,12841,12842,12843,12844,12845,12846,12847,12848,12849, #12816
12850,12851,12852,12853,12854,12855,12856,12857,12858,12859,12860,12861,4199,12862,12863,12864, #12832
12865,12866,12867,12868,12869,12870,12871,12872,12873,12874,12875,12876,12877,12878,12879,12880, #12848
12881,12882,12883,12884,12885,12886,12887,4501,12888,12889,12890,12891,12892,12893,12894,12895, #12864
12896,12897,12898,12899,12900,12901,12902,12903,12904,12905,12906,12907,12908,12909,12910,12911, #12880
12912,4994,12913,12914,12915,12916,12917,12918,12919,12920,12921,12922,12923,12924,12925,12926, #12896
12927,12928,12929,12930,12931,12932,12933,12934,12935,12936,12937,12938,12939,12940,12941,12942, #12912
12943,12944,12945,12946,12947,12948,12949,12950,12951,12952,12953,12954,12955,12956,1772,12957, #12928
12958,12959,12960,12961,12962,12963,12964,12965,12966,12967,12968,12969,12970,12971,12972,12973, #12944
12974,12975,12976,12977,12978,12979,12980,12981,12982,12983,12984,12985,12986,12987,12988,12989, #12960
12990,12991,12992,12993,12994,12995,12996,12997,4502,12998,4503,12999,13000,13001,13002,13003, #12976
4504,13004,13005,13006,13007,13008,13009,13010,13011,13012,13013,13014,13015,13016,13017,13018, #12992
13019,13020,13021,13022,13023,13024,13025,13026,13027,13028,13029,3449,13030,13031,13032,13033, #13008
13034,13035,13036,13037,13038,13039,13040,13041,13042,13043,13044,13045,13046,13047,13048,13049, #13024
13050,13051,13052,13053,13054,13055,13056,13057,13058,13059,13060,13061,13062,13063,13064,13065, #13040
13066,13067,13068,13069,13070,13071,13072,13073,13074,13075,13076,13077,13078,13079,13080,13081, #13056
13082,13083,13084,13085,13086,13087,13088,13089,13090,13091,13092,13093,13094,13095,13096,13097, #13072
13098,13099,13100,13101,13102,13103,13104,13105,13106,13107,13108,13109,13110,13111,13112,13113, #13088
13114,13115,13116,13117,13118,3968,13119,4995,13120,13121,13122,13123,13124,13125,13126,13127, #13104
4505,13128,13129,13130,13131,13132,13133,13134,4996,4506,13135,13136,13137,13138,13139,4997, #13120
13140,13141,13142,13143,13144,13145,13146,13147,13148,13149,13150,13151,13152,13153,13154,13155, #13136
13156,13157,13158,13159,4998,13160,13161,13162,13163,13164,13165,13166,13167,13168,13169,13170, #13152
13171,13172,13173,13174,13175,13176,4999,13177,13178,13179,13180,13181,13182,13183,13184,13185, #13168
13186,13187,13188,13189,13190,13191,13192,13193,13194,13195,13196,13197,13198,13199,13200,13201, #13184
13202,13203,13204,13205,13206,5000,13207,13208,13209,13210,13211,13212,13213,13214,13215,13216, #13200
13217,13218,13219,13220,13221,13222,13223,13224,13225,13226,13227,4200,5001,13228,13229,13230, #13216
13231,13232,13233,13234,13235,13236,13237,13238,13239,13240,3969,13241,13242,13243,13244,3970, #13232
13245,13246,13247,13248,13249,13250,13251,13252,13253,13254,13255,13256,13257,13258,13259,13260, #13248
13261,13262,13263,13264,13265,13266,13267,13268,3450,13269,13270,13271,13272,13273,13274,13275, #13264
13276,5002,13277,13278,13279,13280,13281,13282,13283,13284,13285,13286,13287,13288,13289,13290, #13280
13291,13292,13293,13294,13295,13296,13297,13298,13299,13300,13301,13302,3813,13303,13304,13305, #13296
13306,13307,13308,13309,13310,13311,13312,13313,13314,13315,13316,13317,13318,13319,13320,13321, #13312
13322,13323,13324,13325,13326,13327,13328,4507,13329,13330,13331,13332,13333,13334,13335,13336, #13328
13337,13338,13339,13340,13341,5003,13342,13343,13344,13345,13346,13347,13348,13349,13350,13351, #13344
13352,13353,13354,13355,13356,13357,13358,13359,13360,13361,13362,13363,13364,13365,13366,13367, #13360
5004,13368,13369,13370,13371,13372,13373,13374,13375,13376,13377,13378,13379,13380,13381,13382, #13376
13383,13384,13385,13386,13387,13388,13389,13390,13391,13392,13393,13394,13395,13396,13397,13398, #13392
13399,13400,13401,13402,13403,13404,13405,13406,13407,13408,13409,13410,13411,13412,13413,13414, #13408
13415,13416,13417,13418,13419,13420,13421,13422,13423,13424,13425,13426,13427,13428,13429,13430, #13424
13431,13432,4508,13433,13434,13435,4201,13436,13437,13438,13439,13440,13441,13442,13443,13444, #13440
13445,13446,13447,13448,13449,13450,13451,13452,13453,13454,13455,13456,13457,5005,13458,13459, #13456
13460,13461,13462,13463,13464,13465,13466,13467,13468,13469,13470,4509,13471,13472,13473,13474, #13472
13475,13476,13477,13478,13479,13480,13481,13482,13483,13484,13485,13486,13487,13488,13489,13490, #13488
13491,13492,13493,13494,13495,13496,13497,13498,13499,13500,13501,13502,13503,13504,13505,13506, #13504
13507,13508,13509,13510,13511,13512,13513,13514,13515,13516,13517,13518,13519,13520,13521,13522, #13520
13523,13524,13525,13526,13527,13528,13529,13530,13531,13532,13533,13534,13535,13536,13537,13538, #13536
13539,13540,13541,13542,13543,13544,13545,13546,13547,13548,13549,13550,13551,13552,13553,13554, #13552
13555,13556,13557,13558,13559,13560,13561,13562,13563,13564,13565,13566,13567,13568,13569,13570, #13568
13571,13572,13573,13574,13575,13576,13577,13578,13579,13580,13581,13582,13583,13584,13585,13586, #13584
13587,13588,13589,13590,13591,13592,13593,13594,13595,13596,13597,13598,13599,13600,13601,13602, #13600
13603,13604,13605,13606,13607,13608,13609,13610,13611,13612,13613,13614,13615,13616,13617,13618, #13616
13619,13620,13621,13622,13623,13624,13625,13626,13627,13628,13629,13630,13631,13632,13633,13634, #13632
13635,13636,13637,13638,13639,13640,13641,13642,5006,13643,13644,13645,13646,13647,13648,13649, #13648
13650,13651,5007,13652,13653,13654,13655,13656,13657,13658,13659,13660,13661,13662,13663,13664, #13664
13665,13666,13667,13668,13669,13670,13671,13672,13673,13674,13675,13676,13677,13678,13679,13680, #13680
13681,13682,13683,13684,13685,13686,13687,13688,13689,13690,13691,13692,13693,13694,13695,13696, #13696
13697,13698,13699,13700,13701,13702,13703,13704,13705,13706,13707,13708,13709,13710,13711,13712, #13712
13713,13714,13715,13716,13717,13718,13719,13720,13721,13722,13723,13724,13725,13726,13727,13728, #13728
13729,13730,13731,13732,13733,13734,13735,13736,13737,13738,13739,13740,13741,13742,13743,13744, #13744
13745,13746,13747,13748,13749,13750,13751,13752,13753,13754,13755,13756,13757,13758,13759,13760, #13760
13761,13762,13763,13764,13765,13766,13767,13768,13769,13770,13771,13772,13773,13774,3273,13775, #13776
13776,13777,13778,13779,13780,13781,13782,13783,13784,13785,13786,13787,13788,13789,13790,13791, #13792
13792,13793,13794,13795,13796,13797,13798,13799,13800,13801,13802,13803,13804,13805,13806,13807, #13808
13808,13809,13810,13811,13812,13813,13814,13815,13816,13817,13818,13819,13820,13821,13822,13823, #13824
13824,13825,13826,13827,13828,13829,13830,13831,13832,13833,13834,13835,13836,13837,13838,13839, #13840
13840,13841,13842,13843,13844,13845,13846,13847,13848,13849,13850,13851,13852,13853,13854,13855, #13856
13856,13857,13858,13859,13860,13861,13862,13863,13864,13865,13866,13867,13868,13869,13870,13871, #13872
13872,13873,13874,13875,13876,13877,13878,13879,13880,13881,13882,13883,13884,13885,13886,13887, #13888
13888,13889,13890,13891,13892,13893,13894,13895,13896,13897,13898,13899,13900,13901,13902,13903, #13904
13904,13905,13906,13907,13908,13909,13910,13911,13912,13913,13914,13915,13916,13917,13918,13919, #13920
13920,13921,13922,13923,13924,13925,13926,13927,13928,13929,13930,13931,13932,13933,13934,13935, #13936
13936,13937,13938,13939,13940,13941,13942,13943,13944,13945,13946,13947,13948,13949,13950,13951, #13952
13952,13953,13954,13955,13956,13957,13958,13959,13960,13961,13962,13963,13964,13965,13966,13967, #13968
13968,13969,13970,13971,13972) #13973
|
gpl-3.0
|
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wzhfy/spark
|
examples/src/main/python/mllib/power_iteration_clustering_example.py
|
27
|
1753
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#
from pyspark import SparkContext
# $example on$
from pyspark.mllib.clustering import PowerIterationClustering, PowerIterationClusteringModel
# $example off$
if __name__ == "__main__":
sc = SparkContext(appName="PowerIterationClusteringExample") # SparkContext
# $example on$
# Load and parse the data
data = sc.textFile("data/mllib/pic_data.txt")
similarities = data.map(lambda line: tuple([float(x) for x in line.split(' ')]))
# Cluster the data into two classes using PowerIterationClustering
model = PowerIterationClustering.train(similarities, 2, 10)
model.assignments().foreach(lambda x: print(str(x.id) + " -> " + str(x.cluster)))
# Save and load model
model.save(sc, "target/org/apache/spark/PythonPowerIterationClusteringExample/PICModel")
sameModel = PowerIterationClusteringModel\
.load(sc, "target/org/apache/spark/PythonPowerIterationClusteringExample/PICModel")
# $example off$
sc.stop()
|
apache-2.0
|
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arnavgosain/msm8x27
|
tools/perf/util/setup.py
|
4998
|
1330
|
#!/usr/bin/python2
from distutils.core import setup, Extension
from os import getenv
from distutils.command.build_ext import build_ext as _build_ext
from distutils.command.install_lib import install_lib as _install_lib
class build_ext(_build_ext):
def finalize_options(self):
_build_ext.finalize_options(self)
self.build_lib = build_lib
self.build_temp = build_tmp
class install_lib(_install_lib):
def finalize_options(self):
_install_lib.finalize_options(self)
self.build_dir = build_lib
cflags = ['-fno-strict-aliasing', '-Wno-write-strings']
cflags += getenv('CFLAGS', '').split()
build_lib = getenv('PYTHON_EXTBUILD_LIB')
build_tmp = getenv('PYTHON_EXTBUILD_TMP')
ext_sources = [f.strip() for f in file('util/python-ext-sources')
if len(f.strip()) > 0 and f[0] != '#']
perf = Extension('perf',
sources = ext_sources,
include_dirs = ['util/include'],
extra_compile_args = cflags,
)
setup(name='perf',
version='0.1',
description='Interface with the Linux profiling infrastructure',
author='Arnaldo Carvalho de Melo',
author_email='acme@redhat.com',
license='GPLv2',
url='http://perf.wiki.kernel.org',
ext_modules=[perf],
cmdclass={'build_ext': build_ext, 'install_lib': install_lib})
|
gpl-2.0
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gablg1/PerfKitBenchmarker
|
perfkitbenchmarker/benchmarks/silo_benchmark.py
|
4
|
4840
|
# 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.
"""Runs Silo.
Silo is a high performance, scalable in-memory database for modern multicore
machines
Documentation & code: https://github.com/stephentu/silo
"""
import logging
from perfkitbenchmarker import flags
from perfkitbenchmarker import regex_util
from perfkitbenchmarker import sample
from perfkitbenchmarker.packages import silo
FLAGS = flags.FLAGS
BENCHMARK_INFO = {'name': 'silo',
'description': 'Runs Silo',
'scratch_disk': False,
'num_machines': 1}
flags.DEFINE_string('silo_benchmark', 'tpcc',
'benchmark to run with silo. Options include tpcc, ycsb,'
' queue, bid')
AGG_THPUT_REGEX = \
r'(agg_throughput):\s+(\d+\.?\d*e?[+-]?\d*)\s+([a-z/]+)'
PER_CORE_THPUT_REGEX = \
r'(avg_per_core_throughput):\s+(\d+\.?\d*e?[+-]?\d*)\s+([a-z/]+)'
LAT_REGEX = r'(avg_latency):\s+(\d+\.?\d*e?[+-]?\d*)\s+([a-z]+)'
def GetInfo():
return BENCHMARK_INFO
def Prepare(benchmark_spec):
"""Install Silo on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
vms = benchmark_spec.vms
vm = vms[0]
logging.info('Preparing Silo on %s', vm)
vm.Install('silo')
def ParseResults(results):
"""Result parser for Silo.
This is what a smaple output looks like:
--- table statistics ---
table customer_0 size 30000 (+0 records)
table customer_name_idx_0 size 30000 (+0 records)
table district_0 size 10 (+0 records)
table history_0 size 792182 (+762182 records)
table item_0 size 100000 (+0 records)
table new_order_0 size 122238 (+113238 records)
table oorder_0 size 829578 (+799578 records)
table oorder_c_id_idx_0 size 829578 (+799578 records)
table order_line_0 size 8300509 (+8000949 records)
table stock_0 size 100000 (+0 records)
table stock_data_0 size 100000 (+0 records)
table warehouse_0 size 1 (+0 records)
--- benchmark statistics ---
runtime: 30.0007 sec
memory delta: 768.336 MB
memory delta rate: 25.6106 MB/sec
logical memory delta: 112.705 MB
logical memory delta rate: 3.75673 MB/sec
agg_nosync_throughput: 59150.1 ops/sec
avg_nosync_per_core_throughput: 59150.1 ops/sec/core
agg_throughput: 59150.1 ops/sec
avg_per_core_throughput: 59150.1 ops/sec/core
agg_persist_throughput: 59150.1 ops/sec
avg_per_core_persist_throughput: 59150.1 ops/sec/core
avg_latency: 0.0168378 ms
avg_persist_latency: 0 ms
agg_abort_rate: 0 aborts/sec
avg_per_core_abort_rate: 0 aborts/sec/core
txn breakdown: [[Delivery, 70967], [NewOrder, 799578], [OrderStatus, 70813],
[Payment, 762182], [StockLevel, 71006]]
--- system counters (for benchmark) ---
--- perf counters (if enabled, for benchmark) ---
--- allocator stats ---
[allocator] ncpus=0
---------------------------------------
"""
samples = []
# agg throughput
match = regex_util.ExtractAllMatches(AGG_THPUT_REGEX, results)[0]
samples.append(sample.Sample(
match[0], float(match[1]), match[2]))
# per core throughput
match = regex_util.ExtractAllMatches(PER_CORE_THPUT_REGEX, results)[0]
samples.append(sample.Sample(
match[0], float(match[1]), match[2]))
# avg latency
match = regex_util.ExtractAllMatches(LAT_REGEX, results)[0]
samples.append(sample.Sample(
match[0], float(match[1]), match[2]))
return samples
def Run(benchmark_spec):
"""Run Silo on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
vms = benchmark_spec.vms
vm = vms[0]
nthreads = vm.num_cpus
logging.info('Silo running on %s', vm)
command = 'cd {0} && '\
'out-perf.masstree/benchmarks/dbtest '\
'--bench {1} --num-threads {2} --verbose'.format(
silo.SILO_DIR,
FLAGS.silo_benchmark,
nthreads)
logging.info('Silo Results:')
stdout, stderr = vm.RemoteCommand(command, should_log=True)
return ParseResults(stderr)
def Cleanup(benchmark_spec):
"""Cleanup Silo on the target vm.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
pass
|
apache-2.0
|
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sometallgit/AutoUploader
|
Python27/Lib/distutils/tests/test_dist.py
|
12
|
15852
|
# -*- coding: utf8 -*-
"""Tests for distutils.dist."""
import os
import StringIO
import sys
import unittest
import warnings
import textwrap
from distutils.dist import Distribution, fix_help_options
from distutils.cmd import Command
import distutils.dist
from test.test_support import TESTFN, captured_stdout, run_unittest, unlink
from distutils.tests import support
from distutils import log
class test_dist(Command):
"""Sample distutils extension command."""
user_options = [
("sample-option=", "S", "help text"),
]
def initialize_options(self):
self.sample_option = None
class TestDistribution(Distribution):
"""Distribution subclasses that avoids the default search for
configuration files.
The ._config_files attribute must be set before
.parse_config_files() is called.
"""
def find_config_files(self):
return self._config_files
class DistributionTestCase(support.TempdirManager,
support.LoggingSilencer,
support.EnvironGuard,
unittest.TestCase):
def setUp(self):
super(DistributionTestCase, self).setUp()
self.argv = sys.argv, sys.argv[:]
del sys.argv[1:]
def tearDown(self):
sys.argv = self.argv[0]
sys.argv[:] = self.argv[1]
super(DistributionTestCase, self).tearDown()
def create_distribution(self, configfiles=()):
d = TestDistribution()
d._config_files = configfiles
d.parse_config_files()
d.parse_command_line()
return d
def test_debug_mode(self):
with open(TESTFN, "w") as f:
f.write("[global]\n")
f.write("command_packages = foo.bar, splat")
self.addCleanup(unlink, TESTFN)
files = [TESTFN]
sys.argv.append("build")
with captured_stdout() as stdout:
self.create_distribution(files)
stdout.seek(0)
self.assertEqual(stdout.read(), '')
distutils.dist.DEBUG = True
try:
with captured_stdout() as stdout:
self.create_distribution(files)
stdout.seek(0)
self.assertEqual(stdout.read(), '')
finally:
distutils.dist.DEBUG = False
def test_command_packages_unspecified(self):
sys.argv.append("build")
d = self.create_distribution()
self.assertEqual(d.get_command_packages(), ["distutils.command"])
def test_command_packages_cmdline(self):
from distutils.tests.test_dist import test_dist
sys.argv.extend(["--command-packages",
"foo.bar,distutils.tests",
"test_dist",
"-Ssometext",
])
d = self.create_distribution()
# let's actually try to load our test command:
self.assertEqual(d.get_command_packages(),
["distutils.command", "foo.bar", "distutils.tests"])
cmd = d.get_command_obj("test_dist")
self.assertIsInstance(cmd, test_dist)
self.assertEqual(cmd.sample_option, "sometext")
def test_command_packages_configfile(self):
sys.argv.append("build")
self.addCleanup(os.unlink, TESTFN)
f = open(TESTFN, "w")
try:
print >> f, "[global]"
print >> f, "command_packages = foo.bar, splat"
finally:
f.close()
d = self.create_distribution([TESTFN])
self.assertEqual(d.get_command_packages(),
["distutils.command", "foo.bar", "splat"])
# ensure command line overrides config:
sys.argv[1:] = ["--command-packages", "spork", "build"]
d = self.create_distribution([TESTFN])
self.assertEqual(d.get_command_packages(),
["distutils.command", "spork"])
# Setting --command-packages to '' should cause the default to
# be used even if a config file specified something else:
sys.argv[1:] = ["--command-packages", "", "build"]
d = self.create_distribution([TESTFN])
self.assertEqual(d.get_command_packages(), ["distutils.command"])
def test_write_pkg_file(self):
# Check DistributionMetadata handling of Unicode fields
tmp_dir = self.mkdtemp()
my_file = os.path.join(tmp_dir, 'f')
klass = Distribution
dist = klass(attrs={'author': u'Mister Café',
'name': 'my.package',
'maintainer': u'Café Junior',
'description': u'Café torréfié',
'long_description': u'Héhéhé'})
# let's make sure the file can be written
# with Unicode fields. they are encoded with
# PKG_INFO_ENCODING
dist.metadata.write_pkg_file(open(my_file, 'w'))
# regular ascii is of course always usable
dist = klass(attrs={'author': 'Mister Cafe',
'name': 'my.package',
'maintainer': 'Cafe Junior',
'description': 'Cafe torrefie',
'long_description': 'Hehehe'})
my_file2 = os.path.join(tmp_dir, 'f2')
dist.metadata.write_pkg_file(open(my_file2, 'w'))
def test_empty_options(self):
# an empty options dictionary should not stay in the
# list of attributes
# catching warnings
warns = []
def _warn(msg):
warns.append(msg)
self.addCleanup(setattr, warnings, 'warn', warnings.warn)
warnings.warn = _warn
dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
'version': 'xxx', 'url': 'xxxx',
'options': {}})
self.assertEqual(len(warns), 0)
self.assertNotIn('options', dir(dist))
def test_finalize_options(self):
attrs = {'keywords': 'one,two',
'platforms': 'one,two'}
dist = Distribution(attrs=attrs)
dist.finalize_options()
# finalize_option splits platforms and keywords
self.assertEqual(dist.metadata.platforms, ['one', 'two'])
self.assertEqual(dist.metadata.keywords, ['one', 'two'])
def test_get_command_packages(self):
dist = Distribution()
self.assertEqual(dist.command_packages, None)
cmds = dist.get_command_packages()
self.assertEqual(cmds, ['distutils.command'])
self.assertEqual(dist.command_packages,
['distutils.command'])
dist.command_packages = 'one,two'
cmds = dist.get_command_packages()
self.assertEqual(cmds, ['distutils.command', 'one', 'two'])
def test_announce(self):
# make sure the level is known
dist = Distribution()
args = ('ok',)
kwargs = {'level': 'ok2'}
self.assertRaises(ValueError, dist.announce, args, kwargs)
def test_find_config_files_disable(self):
# Ticket #1180: Allow user to disable their home config file.
temp_home = self.mkdtemp()
if os.name == 'posix':
user_filename = os.path.join(temp_home, ".pydistutils.cfg")
else:
user_filename = os.path.join(temp_home, "pydistutils.cfg")
with open(user_filename, 'w') as f:
f.write('[distutils]\n')
def _expander(path):
return temp_home
old_expander = os.path.expanduser
os.path.expanduser = _expander
try:
d = distutils.dist.Distribution()
all_files = d.find_config_files()
d = distutils.dist.Distribution(attrs={'script_args':
['--no-user-cfg']})
files = d.find_config_files()
finally:
os.path.expanduser = old_expander
# make sure --no-user-cfg disables the user cfg file
self.assertEqual(len(all_files)-1, len(files))
class MetadataTestCase(support.TempdirManager, support.EnvironGuard,
unittest.TestCase):
def setUp(self):
super(MetadataTestCase, self).setUp()
self.argv = sys.argv, sys.argv[:]
def tearDown(self):
sys.argv = self.argv[0]
sys.argv[:] = self.argv[1]
super(MetadataTestCase, self).tearDown()
def test_classifier(self):
attrs = {'name': 'Boa', 'version': '3.0',
'classifiers': ['Programming Language :: Python :: 3']}
dist = Distribution(attrs)
meta = self.format_metadata(dist)
self.assertIn('Metadata-Version: 1.1', meta)
def test_download_url(self):
attrs = {'name': 'Boa', 'version': '3.0',
'download_url': 'http://example.org/boa'}
dist = Distribution(attrs)
meta = self.format_metadata(dist)
self.assertIn('Metadata-Version: 1.1', meta)
def test_long_description(self):
long_desc = textwrap.dedent("""\
example::
We start here
and continue here
and end here.""")
attrs = {"name": "package",
"version": "1.0",
"long_description": long_desc}
dist = Distribution(attrs)
meta = self.format_metadata(dist)
meta = meta.replace('\n' + 8 * ' ', '\n')
self.assertIn(long_desc, meta)
def test_simple_metadata(self):
attrs = {"name": "package",
"version": "1.0"}
dist = Distribution(attrs)
meta = self.format_metadata(dist)
self.assertIn("Metadata-Version: 1.0", meta)
self.assertNotIn("provides:", meta.lower())
self.assertNotIn("requires:", meta.lower())
self.assertNotIn("obsoletes:", meta.lower())
def test_provides(self):
attrs = {"name": "package",
"version": "1.0",
"provides": ["package", "package.sub"]}
dist = Distribution(attrs)
self.assertEqual(dist.metadata.get_provides(),
["package", "package.sub"])
self.assertEqual(dist.get_provides(),
["package", "package.sub"])
meta = self.format_metadata(dist)
self.assertIn("Metadata-Version: 1.1", meta)
self.assertNotIn("requires:", meta.lower())
self.assertNotIn("obsoletes:", meta.lower())
def test_provides_illegal(self):
self.assertRaises(ValueError, Distribution,
{"name": "package",
"version": "1.0",
"provides": ["my.pkg (splat)"]})
def test_requires(self):
attrs = {"name": "package",
"version": "1.0",
"requires": ["other", "another (==1.0)"]}
dist = Distribution(attrs)
self.assertEqual(dist.metadata.get_requires(),
["other", "another (==1.0)"])
self.assertEqual(dist.get_requires(),
["other", "another (==1.0)"])
meta = self.format_metadata(dist)
self.assertIn("Metadata-Version: 1.1", meta)
self.assertNotIn("provides:", meta.lower())
self.assertIn("Requires: other", meta)
self.assertIn("Requires: another (==1.0)", meta)
self.assertNotIn("obsoletes:", meta.lower())
def test_requires_illegal(self):
self.assertRaises(ValueError, Distribution,
{"name": "package",
"version": "1.0",
"requires": ["my.pkg (splat)"]})
def test_obsoletes(self):
attrs = {"name": "package",
"version": "1.0",
"obsoletes": ["other", "another (<1.0)"]}
dist = Distribution(attrs)
self.assertEqual(dist.metadata.get_obsoletes(),
["other", "another (<1.0)"])
self.assertEqual(dist.get_obsoletes(),
["other", "another (<1.0)"])
meta = self.format_metadata(dist)
self.assertIn("Metadata-Version: 1.1", meta)
self.assertNotIn("provides:", meta.lower())
self.assertNotIn("requires:", meta.lower())
self.assertIn("Obsoletes: other", meta)
self.assertIn("Obsoletes: another (<1.0)", meta)
def test_obsoletes_illegal(self):
self.assertRaises(ValueError, Distribution,
{"name": "package",
"version": "1.0",
"obsoletes": ["my.pkg (splat)"]})
def format_metadata(self, dist):
sio = StringIO.StringIO()
dist.metadata.write_pkg_file(sio)
return sio.getvalue()
def test_custom_pydistutils(self):
# fixes #2166
# make sure pydistutils.cfg is found
if os.name == 'posix':
user_filename = ".pydistutils.cfg"
else:
user_filename = "pydistutils.cfg"
temp_dir = self.mkdtemp()
user_filename = os.path.join(temp_dir, user_filename)
f = open(user_filename, 'w')
try:
f.write('.')
finally:
f.close()
try:
dist = Distribution()
# linux-style
if sys.platform in ('linux', 'darwin'):
os.environ['HOME'] = temp_dir
files = dist.find_config_files()
self.assertIn(user_filename, files)
# win32-style
if sys.platform == 'win32':
# home drive should be found
os.environ['HOME'] = temp_dir
files = dist.find_config_files()
self.assertIn(user_filename, files,
'%r not found in %r' % (user_filename, files))
finally:
os.remove(user_filename)
def test_fix_help_options(self):
help_tuples = [('a', 'b', 'c', 'd'), (1, 2, 3, 4)]
fancy_options = fix_help_options(help_tuples)
self.assertEqual(fancy_options[0], ('a', 'b', 'c'))
self.assertEqual(fancy_options[1], (1, 2, 3))
def test_show_help(self):
# smoke test, just makes sure some help is displayed
self.addCleanup(log.set_threshold, log._global_log.threshold)
dist = Distribution()
sys.argv = []
dist.help = 1
dist.script_name = 'setup.py'
with captured_stdout() as s:
dist.parse_command_line()
output = [line for line in s.getvalue().split('\n')
if line.strip() != '']
self.assertTrue(output)
def test_read_metadata(self):
attrs = {"name": "package",
"version": "1.0",
"long_description": "desc",
"description": "xxx",
"download_url": "http://example.com",
"keywords": ['one', 'two'],
"requires": ['foo']}
dist = Distribution(attrs)
metadata = dist.metadata
# write it then reloads it
PKG_INFO = StringIO.StringIO()
metadata.write_pkg_file(PKG_INFO)
PKG_INFO.seek(0)
metadata.read_pkg_file(PKG_INFO)
self.assertEqual(metadata.name, "package")
self.assertEqual(metadata.version, "1.0")
self.assertEqual(metadata.description, "xxx")
self.assertEqual(metadata.download_url, 'http://example.com')
self.assertEqual(metadata.keywords, ['one', 'two'])
self.assertEqual(metadata.platforms, ['UNKNOWN'])
self.assertEqual(metadata.obsoletes, None)
self.assertEqual(metadata.requires, ['foo'])
def test_suite():
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(DistributionTestCase))
suite.addTest(unittest.makeSuite(MetadataTestCase))
return suite
if __name__ == "__main__":
run_unittest(test_suite())
|
mit
|
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alexsanjoseph/duolingo-save-streak
|
chardet/sjisprober.py
|
290
|
3774
|
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is mozilla.org code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from .mbcharsetprober import MultiByteCharSetProber
from .codingstatemachine import CodingStateMachine
from .chardistribution import SJISDistributionAnalysis
from .jpcntx import SJISContextAnalysis
from .mbcssm import SJIS_SM_MODEL
from .enums import ProbingState, MachineState
class SJISProber(MultiByteCharSetProber):
def __init__(self):
super(SJISProber, self).__init__()
self.coding_sm = CodingStateMachine(SJIS_SM_MODEL)
self.distribution_analyzer = SJISDistributionAnalysis()
self.context_analyzer = SJISContextAnalysis()
self.reset()
def reset(self):
super(SJISProber, self).reset()
self.context_analyzer.reset()
@property
def charset_name(self):
return self.context_analyzer.charset_name
@property
def language(self):
return "Japanese"
def feed(self, byte_str):
for i in range(len(byte_str)):
coding_state = self.coding_sm.next_state(byte_str[i])
if coding_state == MachineState.ERROR:
self.logger.debug('%s %s prober hit error at byte %s',
self.charset_name, self.language, i)
self._state = ProbingState.NOT_ME
break
elif coding_state == MachineState.ITS_ME:
self._state = ProbingState.FOUND_IT
break
elif coding_state == MachineState.START:
char_len = self.coding_sm.get_current_charlen()
if i == 0:
self._last_char[1] = byte_str[0]
self.context_analyzer.feed(self._last_char[2 - char_len:],
char_len)
self.distribution_analyzer.feed(self._last_char, char_len)
else:
self.context_analyzer.feed(byte_str[i + 1 - char_len:i + 3
- char_len], char_len)
self.distribution_analyzer.feed(byte_str[i - 1:i + 1],
char_len)
self._last_char[0] = byte_str[-1]
if self.state == ProbingState.DETECTING:
if (self.context_analyzer.got_enough_data() and
(self.get_confidence() > self.SHORTCUT_THRESHOLD)):
self._state = ProbingState.FOUND_IT
return self.state
def get_confidence(self):
context_conf = self.context_analyzer.get_confidence()
distrib_conf = self.distribution_analyzer.get_confidence()
return max(context_conf, distrib_conf)
|
mit
|
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farhi-naz/phantomjs
|
src/qt/qtwebkit/Tools/Scripts/webkitpy/common/net/irc/ircbot.py
|
127
|
4228
|
# Copyright (c) 2010 Google Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from webkitpy.common.config import irc as config_irc
from webkitpy.common.thread.messagepump import MessagePump, MessagePumpDelegate
from webkitpy.thirdparty.autoinstalled.irc import ircbot
from webkitpy.thirdparty.autoinstalled.irc import irclib
class IRCBotDelegate(object):
def irc_message_received(self, nick, message):
raise NotImplementedError, "subclasses must implement"
def irc_nickname(self):
raise NotImplementedError, "subclasses must implement"
def irc_password(self):
raise NotImplementedError, "subclasses must implement"
class IRCBot(ircbot.SingleServerIRCBot, MessagePumpDelegate):
# FIXME: We should get this information from a config file.
def __init__(self,
message_queue,
delegate):
self._message_queue = message_queue
self._delegate = delegate
ircbot.SingleServerIRCBot.__init__(
self,
[(
config_irc.server,
config_irc.port,
self._delegate.irc_password()
)],
self._delegate.irc_nickname(),
self._delegate.irc_nickname())
self._channel = config_irc.channel
# ircbot.SingleServerIRCBot methods
def on_nicknameinuse(self, connection, event):
connection.nick(connection.get_nickname() + "_")
def on_welcome(self, connection, event):
connection.join(self._channel)
self._message_pump = MessagePump(self, self._message_queue)
def on_pubmsg(self, connection, event):
nick = irclib.nm_to_n(event.source())
request = event.arguments()[0]
if not irclib.irc_lower(request).startswith(irclib.irc_lower(connection.get_nickname())):
return
if len(request) <= len(connection.get_nickname()):
return
# Some IRC clients, like xchat-gnome, default to using a comma
# when addressing someone.
vocative_separator = request[len(connection.get_nickname())]
if vocative_separator == ':':
request = request.split(':', 1)
elif vocative_separator == ',':
request = request.split(',', 1)
else:
return
if len(request) > 1:
response = self._delegate.irc_message_received(nick, request[1])
if response:
connection.privmsg(self._channel, response)
# MessagePumpDelegate methods
def schedule(self, interval, callback):
self.connection.execute_delayed(interval, callback)
def message_available(self, message):
self.connection.privmsg(self._channel, message)
def final_message_delivered(self):
self.die()
|
bsd-3-clause
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bsmrstu-warriors/Moytri--The-Drone-Aider
|
Lib/site-packages/scipy/linalg/special_matrices.py
|
55
|
15621
|
import math
import numpy as np
#-----------------------------------------------------------------------------
# matrix construction functions
#-----------------------------------------------------------------------------
def tri(N, M=None, k=0, dtype=None):
"""
Construct (N, M) matrix filled with ones at and below the k-th diagonal.
The matrix has A[i,j] == 1 for i <= j + k
Parameters
----------
N : integer
The size of the first dimension of the matrix.
M : integer or None
The size of the second dimension of the matrix. If `M` is None,
`M = N` is assumed.
k : integer
Number of subdiagonal below which matrix is filled with ones.
`k` = 0 is the main diagonal, `k` < 0 subdiagonal and `k` > 0
superdiagonal.
dtype : dtype
Data type of the matrix.
Returns
-------
A : array, shape (N, M)
Examples
--------
>>> from scipy.linalg import tri
>>> tri(3, 5, 2, dtype=int)
array([[1, 1, 1, 0, 0],
[1, 1, 1, 1, 0],
[1, 1, 1, 1, 1]])
>>> tri(3, 5, -1, dtype=int)
array([[0, 0, 0, 0, 0],
[1, 0, 0, 0, 0],
[1, 1, 0, 0, 0]])
"""
if M is None: M = N
if type(M) == type('d'):
#pearu: any objections to remove this feature?
# As tri(N,'d') is equivalent to tri(N,dtype='d')
dtype = M
M = N
m = np.greater_equal(np.subtract.outer(np.arange(N), np.arange(M)),-k)
if dtype is None:
return m
else:
return m.astype(dtype)
def tril(m, k=0):
"""Construct a copy of a matrix with elements above the k-th diagonal zeroed.
Parameters
----------
m : array
Matrix whose elements to return
k : integer
Diagonal above which to zero elements.
k == 0 is the main diagonal, k < 0 subdiagonal and k > 0 superdiagonal.
Returns
-------
A : array, shape m.shape, dtype m.dtype
Examples
--------
>>> from scipy.linalg import tril
>>> tril([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
array([[ 0, 0, 0],
[ 4, 0, 0],
[ 7, 8, 0],
[10, 11, 12]])
"""
m = np.asarray(m)
out = tri(m.shape[0], m.shape[1], k=k, dtype=m.dtype.char)*m
return out
def triu(m, k=0):
"""Construct a copy of a matrix with elements below the k-th diagonal zeroed.
Parameters
----------
m : array
Matrix whose elements to return
k : integer
Diagonal below which to zero elements.
k == 0 is the main diagonal, k < 0 subdiagonal and k > 0 superdiagonal.
Returns
-------
A : array, shape m.shape, dtype m.dtype
Examples
--------
>>> from scipy.linalg import tril
>>> triu([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)
array([[ 1, 2, 3],
[ 4, 5, 6],
[ 0, 8, 9],
[ 0, 0, 12]])
"""
m = np.asarray(m)
out = (1-tri(m.shape[0], m.shape[1], k-1, m.dtype.char))*m
return out
def toeplitz(c, r=None):
"""
Construct a Toeplitz matrix.
The Toeplitz matrix has constant diagonals, with c as its first column
and r as its first row. If r is not given, ``r == conjugate(c)`` is
assumed.
Parameters
----------
c : array_like
First column of the matrix. Whatever the actual shape of `c`, it
will be converted to a 1-D array.
r : array_like
First row of the matrix. If None, ``r = conjugate(c)`` is assumed;
in this case, if c[0] is real, the result is a Hermitian matrix.
r[0] is ignored; the first row of the returned matrix is
``[c[0], r[1:]]``. Whatever the actual shape of `r`, it will be
converted to a 1-D array.
Returns
-------
A : array, shape (len(c), len(r))
The Toeplitz matrix. Dtype is the same as ``(c[0] + r[0]).dtype``.
See also
--------
circulant : circulant matrix
hankel : Hankel matrix
Notes
-----
The behavior when `c` or `r` is a scalar, or when `c` is complex and
`r` is None, was changed in version 0.8.0. The behavior in previous
versions was undocumented and is no longer supported.
Examples
--------
>>> from scipy.linalg import toeplitz
>>> toeplitz([1,2,3], [1,4,5,6])
array([[1, 4, 5, 6],
[2, 1, 4, 5],
[3, 2, 1, 4]])
>>> toeplitz([1.0, 2+3j, 4-1j])
array([[ 1.+0.j, 2.-3.j, 4.+1.j],
[ 2.+3.j, 1.+0.j, 2.-3.j],
[ 4.-1.j, 2.+3.j, 1.+0.j]])
"""
c = np.asarray(c).ravel()
if r is None:
r = c.conjugate()
else:
r = np.asarray(r).ravel()
# Form a 1D array of values to be used in the matrix, containing a reversed
# copy of r[1:], followed by c.
vals = np.concatenate((r[-1:0:-1], c))
a, b = np.ogrid[0:len(c), len(r)-1:-1:-1]
indx = a + b
# `indx` is a 2D array of indices into the 1D array `vals`, arranged so that
# `vals[indx]` is the Toeplitz matrix.
return vals[indx]
def circulant(c):
"""
Construct a circulant matrix.
Parameters
----------
c : array_like
1-D array, the first column of the matrix.
Returns
-------
A : array, shape (len(c), len(c))
A circulant matrix whose first column is `c`.
See also
--------
toeplitz : Toeplitz matrix
hankel : Hankel matrix
Notes
-----
.. versionadded:: 0.8.0
Examples
--------
>>> from scipy.linalg import circulant
>>> circulant([1, 2, 3])
array([[1, 3, 2],
[2, 1, 3],
[3, 2, 1]])
"""
c = np.asarray(c).ravel()
a, b = np.ogrid[0:len(c), 0:-len(c):-1]
indx = a + b
# `indx` is a 2D array of indices into `c`, arranged so that `c[indx]` is
# the circulant matrix.
return c[indx]
def hankel(c, r=None):
"""
Construct a Hankel matrix.
The Hankel matrix has constant anti-diagonals, with `c` as its
first column and `r` as its last row. If `r` is not given, then
`r = zeros_like(c)` is assumed.
Parameters
----------
c : array_like
First column of the matrix. Whatever the actual shape of `c`, it
will be converted to a 1-D array.
r : array_like, 1D
Last row of the matrix. If None, ``r = zeros_like(c)`` is assumed.
r[0] is ignored; the last row of the returned matrix is
``[c[-1], r[1:]]``. Whatever the actual shape of `r`, it will be
converted to a 1-D array.
Returns
-------
A : array, shape (len(c), len(r))
The Hankel matrix. Dtype is the same as ``(c[0] + r[0]).dtype``.
See also
--------
toeplitz : Toeplitz matrix
circulant : circulant matrix
Examples
--------
>>> from scipy.linalg import hankel
>>> hankel([1, 17, 99])
array([[ 1, 17, 99],
[17, 99, 0],
[99, 0, 0]])
>>> hankel([1,2,3,4], [4,7,7,8,9])
array([[1, 2, 3, 4, 7],
[2, 3, 4, 7, 7],
[3, 4, 7, 7, 8],
[4, 7, 7, 8, 9]])
"""
c = np.asarray(c).ravel()
if r is None:
r = np.zeros_like(c)
else:
r = np.asarray(r).ravel()
# Form a 1D array of values to be used in the matrix, containing `c`
# followed by r[1:].
vals = np.concatenate((c, r[1:]))
a, b = np.ogrid[0:len(c), 0:len(r)]
indx = a + b
# `indx` is a 2D array of indices into the 1D array `vals`, arranged so that
# `vals[indx]` is the Hankel matrix.
return vals[indx]
def hadamard(n, dtype=int):
"""
Construct a Hadamard matrix.
`hadamard(n)` constructs an n-by-n Hadamard matrix, using Sylvester's
construction. `n` must be a power of 2.
Parameters
----------
n : int
The order of the matrix. `n` must be a power of 2.
dtype : numpy dtype
The data type of the array to be constructed.
Returns
-------
H : ndarray with shape (n, n)
The Hadamard matrix.
Notes
-----
.. versionadded:: 0.8.0
Examples
--------
>>> hadamard(2, dtype=complex)
array([[ 1.+0.j, 1.+0.j],
[ 1.+0.j, -1.-0.j]])
>>> hadamard(4)
array([[ 1, 1, 1, 1],
[ 1, -1, 1, -1],
[ 1, 1, -1, -1],
[ 1, -1, -1, 1]])
"""
# This function is a slightly modified version of the
# function contributed by Ivo in ticket #675.
if n < 1:
lg2 = 0
else:
lg2 = int(math.log(n, 2))
if 2 ** lg2 != n:
raise ValueError("n must be an positive integer, and n must be power of 2")
H = np.array([[1]], dtype=dtype)
# Sylvester's construction
for i in range(0, lg2):
H = np.vstack((np.hstack((H, H)), np.hstack((H, -H))))
return H
def leslie(f, s):
"""
Create a Leslie matrix.
Given the length n array of fecundity coefficients `f` and the length
n-1 array of survival coefficents `s`, return the associated Leslie matrix.
Parameters
----------
f : array_like
The "fecundity" coefficients, has to be 1-D.
s : array_like
The "survival" coefficients, has to be 1-D. The length of `s`
must be one less than the length of `f`, and it must be at least 1.
Returns
-------
L : ndarray
Returns a 2-D ndarray of shape ``(n, n)``, where `n` is the
length of `f`. The array is zero except for the first row,
which is `f`, and the first sub-diagonal, which is `s`.
The data-type of the array will be the data-type of ``f[0]+s[0]``.
Notes
-----
.. versionadded:: 0.8.0
The Leslie matrix is used to model discrete-time, age-structured
population growth [1]_ [2]_. In a population with `n` age classes, two sets
of parameters define a Leslie matrix: the `n` "fecundity coefficients",
which give the number of offspring per-capita produced by each age
class, and the `n` - 1 "survival coefficients", which give the
per-capita survival rate of each age class.
References
----------
.. [1] P. H. Leslie, On the use of matrices in certain population
mathematics, Biometrika, Vol. 33, No. 3, 183--212 (Nov. 1945)
.. [2] P. H. Leslie, Some further notes on the use of matrices in
population mathematics, Biometrika, Vol. 35, No. 3/4, 213--245
(Dec. 1948)
Examples
--------
>>> leslie([0.1, 2.0, 1.0, 0.1], [0.2, 0.8, 0.7])
array([[ 0.1, 2. , 1. , 0.1],
[ 0.2, 0. , 0. , 0. ],
[ 0. , 0.8, 0. , 0. ],
[ 0. , 0. , 0.7, 0. ]])
"""
f = np.atleast_1d(f)
s = np.atleast_1d(s)
if f.ndim != 1:
raise ValueError("Incorrect shape for f. f must be one-dimensional")
if s.ndim != 1:
raise ValueError("Incorrect shape for s. s must be one-dimensional")
if f.size != s.size + 1:
raise ValueError("Incorrect lengths for f and s. The length"
" of s must be one less than the length of f.")
if s.size == 0:
raise ValueError("The length of s must be at least 1.")
tmp = f[0] + s[0]
n = f.size
a = np.zeros((n,n), dtype=tmp.dtype)
a[0] = f
a[range(1,n), range(0,n-1)] = s
return a
def all_mat(*args):
return map(np.matrix,args)
def kron(a,b):
"""Kronecker product of a and b.
The result is the block matrix::
a[0,0]*b a[0,1]*b ... a[0,-1]*b
a[1,0]*b a[1,1]*b ... a[1,-1]*b
...
a[-1,0]*b a[-1,1]*b ... a[-1,-1]*b
Parameters
----------
a : array, shape (M, N)
b : array, shape (P, Q)
Returns
-------
A : array, shape (M*P, N*Q)
Kronecker product of a and b
Examples
--------
>>> from scipy import kron, array
>>> kron(array([[1,2],[3,4]]), array([[1,1,1]]))
array([[1, 1, 1, 2, 2, 2],
[3, 3, 3, 4, 4, 4]])
"""
if not a.flags['CONTIGUOUS']:
a = np.reshape(a, a.shape)
if not b.flags['CONTIGUOUS']:
b = np.reshape(b, b.shape)
o = np.outer(a,b)
o = o.reshape(a.shape + b.shape)
return np.concatenate(np.concatenate(o, axis=1), axis=1)
def block_diag(*arrs):
"""
Create a block diagonal matrix from provided arrays.
Given the inputs `A`, `B` and `C`, the output will have these
arrays arranged on the diagonal::
[[A, 0, 0],
[0, B, 0],
[0, 0, C]]
Parameters
----------
A, B, C, ... : array_like, up to 2-D
Input arrays. A 1-D array or array_like sequence of length `n`is
treated as a 2-D array with shape ``(1,n)``.
Returns
-------
D : ndarray
Array with `A`, `B`, `C`, ... on the diagonal. `D` has the
same dtype as `A`.
Notes
-----
If all the input arrays are square, the output is known as a
block diagonal matrix.
Examples
--------
>>> A = [[1, 0],
... [0, 1]]
>>> B = [[3, 4, 5],
... [6, 7, 8]]
>>> C = [[7]]
>>> block_diag(A, B, C)
[[1 0 0 0 0 0]
[0 1 0 0 0 0]
[0 0 3 4 5 0]
[0 0 6 7 8 0]
[0 0 0 0 0 7]]
>>> block_diag(1.0, [2, 3], [[4, 5], [6, 7]])
array([[ 1., 0., 0., 0., 0.],
[ 0., 2., 3., 0., 0.],
[ 0., 0., 0., 4., 5.],
[ 0., 0., 0., 6., 7.]])
"""
if arrs == ():
arrs = ([],)
arrs = [np.atleast_2d(a) for a in arrs]
bad_args = [k for k in range(len(arrs)) if arrs[k].ndim > 2]
if bad_args:
raise ValueError("arguments in the following positions have dimension "
"greater than 2: %s" % bad_args)
shapes = np.array([a.shape for a in arrs])
out = np.zeros(np.sum(shapes, axis=0), dtype=arrs[0].dtype)
r, c = 0, 0
for i, (rr, cc) in enumerate(shapes):
out[r:r + rr, c:c + cc] = arrs[i]
r += rr
c += cc
return out
def companion(a):
"""
Create a companion matrix.
Create the companion matrix [1]_ associated with the polynomial whose
coefficients are given in `a`.
Parameters
----------
a : array_like
1-D array of polynomial coefficients. The length of `a` must be
at least two, and ``a[0]`` must not be zero.
Returns
-------
c : ndarray
A square array of shape ``(n-1, n-1)``, where `n` is the length
of `a`. The first row of `c` is ``-a[1:]/a[0]``, and the first
sub-diagonal is all ones. The data-type of the array is the same
as the data-type of ``1.0*a[0]``.
Raises
------
ValueError
If any of the following are true: a) ``a.ndim != 1``;
b) ``a.size < 2``; c) ``a[0] == 0``.
Notes
-----
.. versionadded:: 0.8.0
References
----------
.. [1] R. A. Horn & C. R. Johnson, *Matrix Analysis*. Cambridge, UK:
Cambridge University Press, 1999, pp. 146-7.
Examples
--------
>>> from scipy.linalg import companion
>>> companion([1, -10, 31, -30])
array([[ 10., -31., 30.],
[ 1., 0., 0.],
[ 0., 1., 0.]])
"""
a = np.atleast_1d(a)
if a.ndim != 1:
raise ValueError("Incorrect shape for `a`. `a` must be one-dimensional.")
if a.size < 2:
raise ValueError("The length of `a` must be at least 2.")
if a[0] == 0:
raise ValueError("The first coefficient in `a` must not be zero.")
first_row = -a[1:]/(1.0*a[0])
n = a.size
c = np.zeros((n-1, n-1), dtype=first_row.dtype)
c[0] = first_row
c[range(1,n-1), range(0, n-2)] = 1
return c
|
gpl-3.0
|
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gautamMalu/rootfs_xen_arndale
|
usr/lib/python3.4/heapq.py
|
208
|
17997
|
"""Heap queue algorithm (a.k.a. priority queue).
Heaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for
all k, counting elements from 0. For the sake of comparison,
non-existing elements are considered to be infinite. The interesting
property of a heap is that a[0] is always its smallest element.
Usage:
heap = [] # creates an empty heap
heappush(heap, item) # pushes a new item on the heap
item = heappop(heap) # pops the smallest item from the heap
item = heap[0] # smallest item on the heap without popping it
heapify(x) # transforms list into a heap, in-place, in linear time
item = heapreplace(heap, item) # pops and returns smallest item, and adds
# new item; the heap size is unchanged
Our API differs from textbook heap algorithms as follows:
- We use 0-based indexing. This makes the relationship between the
index for a node and the indexes for its children slightly less
obvious, but is more suitable since Python uses 0-based indexing.
- Our heappop() method returns the smallest item, not the largest.
These two make it possible to view the heap as a regular Python list
without surprises: heap[0] is the smallest item, and heap.sort()
maintains the heap invariant!
"""
# Original code by Kevin O'Connor, augmented by Tim Peters and Raymond Hettinger
__about__ = """Heap queues
[explanation by François Pinard]
Heaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for
all k, counting elements from 0. For the sake of comparison,
non-existing elements are considered to be infinite. The interesting
property of a heap is that a[0] is always its smallest element.
The strange invariant above is meant to be an efficient memory
representation for a tournament. The numbers below are `k', not a[k]:
0
1 2
3 4 5 6
7 8 9 10 11 12 13 14
15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
In the tree above, each cell `k' is topping `2*k+1' and `2*k+2'. In
an usual binary tournament we see in sports, each cell is the winner
over the two cells it tops, and we can trace the winner down the tree
to see all opponents s/he had. However, in many computer applications
of such tournaments, we do not need to trace the history of a winner.
To be more memory efficient, when a winner is promoted, we try to
replace it by something else at a lower level, and the rule becomes
that a cell and the two cells it tops contain three different items,
but the top cell "wins" over the two topped cells.
If this heap invariant is protected at all time, index 0 is clearly
the overall winner. The simplest algorithmic way to remove it and
find the "next" winner is to move some loser (let's say cell 30 in the
diagram above) into the 0 position, and then percolate this new 0 down
the tree, exchanging values, until the invariant is re-established.
This is clearly logarithmic on the total number of items in the tree.
By iterating over all items, you get an O(n ln n) sort.
A nice feature of this sort is that you can efficiently insert new
items while the sort is going on, provided that the inserted items are
not "better" than the last 0'th element you extracted. This is
especially useful in simulation contexts, where the tree holds all
incoming events, and the "win" condition means the smallest scheduled
time. When an event schedule other events for execution, they are
scheduled into the future, so they can easily go into the heap. So, a
heap is a good structure for implementing schedulers (this is what I
used for my MIDI sequencer :-).
Various structures for implementing schedulers have been extensively
studied, and heaps are good for this, as they are reasonably speedy,
the speed is almost constant, and the worst case is not much different
than the average case. However, there are other representations which
are more efficient overall, yet the worst cases might be terrible.
Heaps are also very useful in big disk sorts. You most probably all
know that a big sort implies producing "runs" (which are pre-sorted
sequences, which size is usually related to the amount of CPU memory),
followed by a merging passes for these runs, which merging is often
very cleverly organised[1]. It is very important that the initial
sort produces the longest runs possible. Tournaments are a good way
to that. If, using all the memory available to hold a tournament, you
replace and percolate items that happen to fit the current run, you'll
produce runs which are twice the size of the memory for random input,
and much better for input fuzzily ordered.
Moreover, if you output the 0'th item on disk and get an input which
may not fit in the current tournament (because the value "wins" over
the last output value), it cannot fit in the heap, so the size of the
heap decreases. The freed memory could be cleverly reused immediately
for progressively building a second heap, which grows at exactly the
same rate the first heap is melting. When the first heap completely
vanishes, you switch heaps and start a new run. Clever and quite
effective!
In a word, heaps are useful memory structures to know. I use them in
a few applications, and I think it is good to keep a `heap' module
around. :-)
--------------------
[1] The disk balancing algorithms which are current, nowadays, are
more annoying than clever, and this is a consequence of the seeking
capabilities of the disks. On devices which cannot seek, like big
tape drives, the story was quite different, and one had to be very
clever to ensure (far in advance) that each tape movement will be the
most effective possible (that is, will best participate at
"progressing" the merge). Some tapes were even able to read
backwards, and this was also used to avoid the rewinding time.
Believe me, real good tape sorts were quite spectacular to watch!
From all times, sorting has always been a Great Art! :-)
"""
__all__ = ['heappush', 'heappop', 'heapify', 'heapreplace', 'merge',
'nlargest', 'nsmallest', 'heappushpop']
from itertools import islice, count, tee, chain
def heappush(heap, item):
"""Push item onto heap, maintaining the heap invariant."""
heap.append(item)
_siftdown(heap, 0, len(heap)-1)
def heappop(heap):
"""Pop the smallest item off the heap, maintaining the heap invariant."""
lastelt = heap.pop() # raises appropriate IndexError if heap is empty
if heap:
returnitem = heap[0]
heap[0] = lastelt
_siftup(heap, 0)
else:
returnitem = lastelt
return returnitem
def heapreplace(heap, item):
"""Pop and return the current smallest value, and add the new item.
This is more efficient than heappop() followed by heappush(), and can be
more appropriate when using a fixed-size heap. Note that the value
returned may be larger than item! That constrains reasonable uses of
this routine unless written as part of a conditional replacement:
if item > heap[0]:
item = heapreplace(heap, item)
"""
returnitem = heap[0] # raises appropriate IndexError if heap is empty
heap[0] = item
_siftup(heap, 0)
return returnitem
def heappushpop(heap, item):
"""Fast version of a heappush followed by a heappop."""
if heap and heap[0] < item:
item, heap[0] = heap[0], item
_siftup(heap, 0)
return item
def heapify(x):
"""Transform list into a heap, in-place, in O(len(x)) time."""
n = len(x)
# Transform bottom-up. The largest index there's any point to looking at
# is the largest with a child index in-range, so must have 2*i + 1 < n,
# or i < (n-1)/2. If n is even = 2*j, this is (2*j-1)/2 = j-1/2 so
# j-1 is the largest, which is n//2 - 1. If n is odd = 2*j+1, this is
# (2*j+1-1)/2 = j so j-1 is the largest, and that's again n//2-1.
for i in reversed(range(n//2)):
_siftup(x, i)
def _heappushpop_max(heap, item):
"""Maxheap version of a heappush followed by a heappop."""
if heap and item < heap[0]:
item, heap[0] = heap[0], item
_siftup_max(heap, 0)
return item
def _heapify_max(x):
"""Transform list into a maxheap, in-place, in O(len(x)) time."""
n = len(x)
for i in reversed(range(n//2)):
_siftup_max(x, i)
def nlargest(n, iterable):
"""Find the n largest elements in a dataset.
Equivalent to: sorted(iterable, reverse=True)[:n]
"""
if n < 0:
return []
it = iter(iterable)
result = list(islice(it, n))
if not result:
return result
heapify(result)
_heappushpop = heappushpop
for elem in it:
_heappushpop(result, elem)
result.sort(reverse=True)
return result
def nsmallest(n, iterable):
"""Find the n smallest elements in a dataset.
Equivalent to: sorted(iterable)[:n]
"""
if n < 0:
return []
it = iter(iterable)
result = list(islice(it, n))
if not result:
return result
_heapify_max(result)
_heappushpop = _heappushpop_max
for elem in it:
_heappushpop(result, elem)
result.sort()
return result
# 'heap' is a heap at all indices >= startpos, except possibly for pos. pos
# is the index of a leaf with a possibly out-of-order value. Restore the
# heap invariant.
def _siftdown(heap, startpos, pos):
newitem = heap[pos]
# Follow the path to the root, moving parents down until finding a place
# newitem fits.
while pos > startpos:
parentpos = (pos - 1) >> 1
parent = heap[parentpos]
if newitem < parent:
heap[pos] = parent
pos = parentpos
continue
break
heap[pos] = newitem
# The child indices of heap index pos are already heaps, and we want to make
# a heap at index pos too. We do this by bubbling the smaller child of
# pos up (and so on with that child's children, etc) until hitting a leaf,
# then using _siftdown to move the oddball originally at index pos into place.
#
# We *could* break out of the loop as soon as we find a pos where newitem <=
# both its children, but turns out that's not a good idea, and despite that
# many books write the algorithm that way. During a heap pop, the last array
# element is sifted in, and that tends to be large, so that comparing it
# against values starting from the root usually doesn't pay (= usually doesn't
# get us out of the loop early). See Knuth, Volume 3, where this is
# explained and quantified in an exercise.
#
# Cutting the # of comparisons is important, since these routines have no
# way to extract "the priority" from an array element, so that intelligence
# is likely to be hiding in custom comparison methods, or in array elements
# storing (priority, record) tuples. Comparisons are thus potentially
# expensive.
#
# On random arrays of length 1000, making this change cut the number of
# comparisons made by heapify() a little, and those made by exhaustive
# heappop() a lot, in accord with theory. Here are typical results from 3
# runs (3 just to demonstrate how small the variance is):
#
# Compares needed by heapify Compares needed by 1000 heappops
# -------------------------- --------------------------------
# 1837 cut to 1663 14996 cut to 8680
# 1855 cut to 1659 14966 cut to 8678
# 1847 cut to 1660 15024 cut to 8703
#
# Building the heap by using heappush() 1000 times instead required
# 2198, 2148, and 2219 compares: heapify() is more efficient, when
# you can use it.
#
# The total compares needed by list.sort() on the same lists were 8627,
# 8627, and 8632 (this should be compared to the sum of heapify() and
# heappop() compares): list.sort() is (unsurprisingly!) more efficient
# for sorting.
def _siftup(heap, pos):
endpos = len(heap)
startpos = pos
newitem = heap[pos]
# Bubble up the smaller child until hitting a leaf.
childpos = 2*pos + 1 # leftmost child position
while childpos < endpos:
# Set childpos to index of smaller child.
rightpos = childpos + 1
if rightpos < endpos and not heap[childpos] < heap[rightpos]:
childpos = rightpos
# Move the smaller child up.
heap[pos] = heap[childpos]
pos = childpos
childpos = 2*pos + 1
# The leaf at pos is empty now. Put newitem there, and bubble it up
# to its final resting place (by sifting its parents down).
heap[pos] = newitem
_siftdown(heap, startpos, pos)
def _siftdown_max(heap, startpos, pos):
'Maxheap variant of _siftdown'
newitem = heap[pos]
# Follow the path to the root, moving parents down until finding a place
# newitem fits.
while pos > startpos:
parentpos = (pos - 1) >> 1
parent = heap[parentpos]
if parent < newitem:
heap[pos] = parent
pos = parentpos
continue
break
heap[pos] = newitem
def _siftup_max(heap, pos):
'Maxheap variant of _siftup'
endpos = len(heap)
startpos = pos
newitem = heap[pos]
# Bubble up the larger child until hitting a leaf.
childpos = 2*pos + 1 # leftmost child position
while childpos < endpos:
# Set childpos to index of larger child.
rightpos = childpos + 1
if rightpos < endpos and not heap[rightpos] < heap[childpos]:
childpos = rightpos
# Move the larger child up.
heap[pos] = heap[childpos]
pos = childpos
childpos = 2*pos + 1
# The leaf at pos is empty now. Put newitem there, and bubble it up
# to its final resting place (by sifting its parents down).
heap[pos] = newitem
_siftdown_max(heap, startpos, pos)
# If available, use C implementation
try:
from _heapq import *
except ImportError:
pass
def merge(*iterables):
'''Merge multiple sorted inputs into a single sorted output.
Similar to sorted(itertools.chain(*iterables)) but returns a generator,
does not pull the data into memory all at once, and assumes that each of
the input streams is already sorted (smallest to largest).
>>> list(merge([1,3,5,7], [0,2,4,8], [5,10,15,20], [], [25]))
[0, 1, 2, 3, 4, 5, 5, 7, 8, 10, 15, 20, 25]
'''
_heappop, _heapreplace, _StopIteration = heappop, heapreplace, StopIteration
_len = len
h = []
h_append = h.append
for itnum, it in enumerate(map(iter, iterables)):
try:
next = it.__next__
h_append([next(), itnum, next])
except _StopIteration:
pass
heapify(h)
while _len(h) > 1:
try:
while True:
v, itnum, next = s = h[0]
yield v
s[0] = next() # raises StopIteration when exhausted
_heapreplace(h, s) # restore heap condition
except _StopIteration:
_heappop(h) # remove empty iterator
if h:
# fast case when only a single iterator remains
v, itnum, next = h[0]
yield v
yield from next.__self__
# Extend the implementations of nsmallest and nlargest to use a key= argument
_nsmallest = nsmallest
def nsmallest(n, iterable, key=None):
"""Find the n smallest elements in a dataset.
Equivalent to: sorted(iterable, key=key)[:n]
"""
# Short-cut for n==1 is to use min() when len(iterable)>0
if n == 1:
it = iter(iterable)
head = list(islice(it, 1))
if not head:
return []
if key is None:
return [min(chain(head, it))]
return [min(chain(head, it), key=key)]
# When n>=size, it's faster to use sorted()
try:
size = len(iterable)
except (TypeError, AttributeError):
pass
else:
if n >= size:
return sorted(iterable, key=key)[:n]
# When key is none, use simpler decoration
if key is None:
it = zip(iterable, count()) # decorate
result = _nsmallest(n, it)
return [r[0] for r in result] # undecorate
# General case, slowest method
in1, in2 = tee(iterable)
it = zip(map(key, in1), count(), in2) # decorate
result = _nsmallest(n, it)
return [r[2] for r in result] # undecorate
_nlargest = nlargest
def nlargest(n, iterable, key=None):
"""Find the n largest elements in a dataset.
Equivalent to: sorted(iterable, key=key, reverse=True)[:n]
"""
# Short-cut for n==1 is to use max() when len(iterable)>0
if n == 1:
it = iter(iterable)
head = list(islice(it, 1))
if not head:
return []
if key is None:
return [max(chain(head, it))]
return [max(chain(head, it), key=key)]
# When n>=size, it's faster to use sorted()
try:
size = len(iterable)
except (TypeError, AttributeError):
pass
else:
if n >= size:
return sorted(iterable, key=key, reverse=True)[:n]
# When key is none, use simpler decoration
if key is None:
it = zip(iterable, count(0,-1)) # decorate
result = _nlargest(n, it)
return [r[0] for r in result] # undecorate
# General case, slowest method
in1, in2 = tee(iterable)
it = zip(map(key, in1), count(0,-1), in2) # decorate
result = _nlargest(n, it)
return [r[2] for r in result] # undecorate
if __name__ == "__main__":
# Simple sanity test
heap = []
data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0]
for item in data:
heappush(heap, item)
sort = []
while heap:
sort.append(heappop(heap))
print(sort)
import doctest
doctest.testmod()
|
gpl-2.0
|
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idncom/odoo
|
addons/base_iban/__openerp__.py
|
260
|
1724
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
{
'name': 'IBAN Bank Accounts',
'version': '1.0',
'category': 'Hidden/Dependency',
'description': """
This module installs the base for IBAN (International Bank Account Number) bank accounts and checks for it's validity.
======================================================================================================================
The ability to extract the correctly represented local accounts from IBAN accounts
with a single statement.
""",
'author': 'OpenERP SA',
'website': 'https://www.odoo.com',
'depends': ['base'],
'data': ['base_iban_data.xml' , 'base_iban_view.xml'],
'installable': True,
'auto_install': False,
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
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googlevr/tilt-brush-toolkit
|
tests/test_tilt.py
|
1
|
3871
|
# Copyright 2016 Google Inc. All Rights Reserved.
#
# 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 contextlib
import os
import shutil
import unittest
from tiltbrush.tilt import Tilt
@contextlib.contextmanager
def copy_of_tilt(tilt_file='data/sketch1.tilt', as_filename=False):
"""Returns a mutate-able copy of tilt_file, and removes it when done."""
base = os.path.abspath(os.path.dirname(__file__))
full_filename = os.path.join(base, tilt_file)
tmp_filename = os.path.splitext(full_filename)[0] + '_tmp.tilt'
shutil.copy(src=full_filename, dst=tmp_filename)
try:
if as_filename:
yield tmp_filename
else:
yield Tilt(tmp_filename)
finally:
if os.path.exists(tmp_filename):
os.unlink(tmp_filename)
def as_float32(f):
import struct
return struct.unpack('f', struct.pack('f', f))[0]
class TestTiltMutations(unittest.TestCase):
def test_as_directory(self):
# Test Tilt.as_directory
with copy_of_tilt(as_filename=True) as tilt_filename:
with Tilt.as_directory(tilt_filename):
self.assertTrue(os.path.isdir(tilt_filename))
self.assertTrue(os.path.exists(os.path.join(tilt_filename, 'metadata.json')))
def test_can_mutate_metadata(self):
import uuid
random_guid = str(uuid.uuid4())
with copy_of_tilt() as tilt:
with tilt.mutable_metadata() as dct:
# Check that they are different references
dct['EnvironmentPreset'] = random_guid
self.assertNotEqual(
tilt.metadata['EnvironmentPreset'], dct['EnvironmentPreset'])
# Check that it's copied back on exit from mutable_metadata
self.assertEqual(tilt.metadata['EnvironmentPreset'], random_guid)
# Check that the mutations persist
tilt2 = Tilt(tilt.filename)
self.assertEqual(tilt2.metadata['EnvironmentPreset'], random_guid)
def test_can_del_sketch(self):
# Test that "del tilt.sketch" forces it to re-load from disk
with copy_of_tilt() as tilt:
stroke = tilt.sketch.strokes[0]
del tilt.sketch
stroke2 = tilt.sketch.strokes[0]
assert stroke is not stroke2
def test_mutate_control_point(self):
# Test that control point mutations are saved
with copy_of_tilt() as tilt:
stroke = tilt.sketch.strokes[0]
new_y = as_float32(stroke.controlpoints[0].position[1] + 3)
stroke.controlpoints[0].position[1] = new_y
tilt.write_sketch()
del tilt.sketch
self.assertEqual(tilt.sketch.strokes[0].controlpoints[0].position[1], new_y)
def test_stroke_extension(self):
# Test that control point extensions can be added and removed
with copy_of_tilt() as tilt:
stroke = tilt.sketch.strokes[0]
# This sketch was made before stroke scale was a thing
self.assertEqual(stroke.flags, 0)
self.assertRaises(AttributeError, (lambda: stroke.scale))
# Test adding some extension data
stroke.scale = 1.25
self.assertEqual(stroke.scale, 1.25)
# Test removing extension data
del stroke.flags
self.assertRaises(AttributeError (lambda: stroke.flags))
# Test that the changes survive a save+load
tilt.write_sketch()
stroke2 = Tilt(tilt.filename).sketch.strokes[0]
self.assertEqual(stroke2.scale, 1.25)
self.assertRaises(AttributeError (lambda: stroke2.flags))
if __name__ == '__main__':
unittest.main()
|
apache-2.0
|
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] |
pirata-cat/agora-ciudadana
|
agora_site/misc/decorators.py
|
2
|
4661
|
from functools import wraps
from django.db.models import Model, get_model
from django.db.models.base import ModelBase
from django.db.models.query import QuerySet
from django.shortcuts import get_object_or_404
from django.http import Http404
from guardian.exceptions import GuardianError
from tastypie import http
from tastypie.bundle import Bundle
from django.http import HttpRequest
from tastypie.exceptions import ImmediateHttpResponse
def permission_required(perm, lookup_variables=None, **kwargs):
"""
Decorator for views that checks whether a user has a particular permission
enabled.
Optionally, instances for which check should be made may be passed as an
second argument or as a tuple parameters.
:param check_static: if set to ``Model``, the permissions will be
checked in calling to Model.static_has_perms() instead of calling to
has_perms(). Defaults to ``None``.
Examples::
@permission_required('join', (Agora, 'id', 'id'))
def join(self, request):
agora = get_object_or_404(Agora, id=id)
agora.members.append(request.user)
return self.success()
@permission_required('create', check_static=Agora)
def obj_create(self, bundle, request=None, **kwargs):
user = get_object_or_404(User, username=username)
return user.get_absolute_url()
"""
check_static = kwargs.pop('check_static', None)
if check_static:
lookup_variables = [check_static]
# Check if perm is given as string in order not to decorate
# view function itself which makes debugging harder
if not isinstance(perm, basestring):
raise GuardianError("First argument must be in format: "
"'app_label.codename or a callable which return similar string'")
def decorator(view_func):
def wrapped(*args, **kwargs):
# if more than one parameter is passed to the decorator we try to
# fetch object for which check would be made
obj = None
request = None
if 'request' in kwargs:
request = kwargs['request']
elif 'bundle' in kwargs:
request = kwargs['bundle'].request
else:
for arg in args:
if isinstance(arg, HttpRequest):
request = arg
break
elif isinstance(arg, Bundle) and isinstance(arg.request, HttpRequest):
request = arg.request
break
if lookup_variables:
model, lookups = lookup_variables[0], lookup_variables[1:]
# Parse model
if isinstance(model, basestring):
splitted = model.split('.')
if len(splitted) != 2:
raise GuardianError("If model should be looked up from "
"string it needs format: 'app_label.ModelClass'")
model = get_model(*splitted)
elif issubclass(model.__class__, (Model, ModelBase, QuerySet)):
pass
else:
raise GuardianError("First lookup argument must always be "
"a model, string pointing at app/model or queryset. "
"Given: %s (type: %s)" % (model, type(model)))
# Parse lookups
if len(lookups) % 2 != 0:
raise GuardianError("Lookup variables must be provided "
"as pairs of lookup_string and view_arg")
lookup_dict = {}
for lookup, view_arg in zip(lookups[::2], lookups[1::2]):
if view_arg not in kwargs:
raise GuardianError("Argument %s was not passed "
"into view function" % view_arg)
lookup_dict[lookup] = kwargs[view_arg]
if not check_static:
try:
obj = get_object_or_404(model, **lookup_dict)
except Http404:
raise ImmediateHttpResponse(response=http.HttpNotFound())
has_perms = False
if request:
if check_static:
has_perms = model.static_has_perms(perm, request.user)
else:
has_perms = obj.has_perms(perm, request.user)
if not has_perms:
raise ImmediateHttpResponse(response=http.HttpForbidden())
return view_func(*args, **kwargs)
return wraps(view_func)(wrapped)
return decorator
|
agpl-3.0
|
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iphoting/healthchecks
|
hc/accounts/migrations/0001_initial.py
|
2
|
1144
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [migrations.swappable_dependency(settings.AUTH_USER_MODEL)]
operations = [
migrations.CreateModel(
name="Profile",
fields=[
(
"id",
models.AutoField(
auto_created=True,
serialize=False,
verbose_name="ID",
primary_key=True,
),
),
("next_report_date", models.DateTimeField(null=True, blank=True)),
("reports_allowed", models.BooleanField(default=True)),
(
"user",
models.OneToOneField(
blank=True,
to=settings.AUTH_USER_MODEL,
null=True,
on_delete=models.CASCADE,
),
),
],
)
]
|
bsd-3-clause
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hjjeon0608/mbed_for_W7500P
|
workspace_tools/host_tests/host_tests_plugins/__init__.py
|
30
|
2604
|
"""
mbed SDK
Copyright (c) 2011-2013 ARM Limited
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 host_test_registry
# This plugins provide 'flashing' methods to host test scripts
import module_copy_mbed
import module_copy_shell
import module_copy_silabs
#import module_copy_firefox
#import module_copy_mps2
# Plugins used to reset certain platform
import module_reset_mbed
import module_reset_silabs
#import module_reset_mps2
# Plugin registry instance
HOST_TEST_PLUGIN_REGISTRY = host_test_registry.HostTestRegistry()
# Static plugin registration
# Some plugins are commented out if they are not stable or not commonly used
HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_copy_mbed.load_plugin())
HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_copy_shell.load_plugin())
HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_reset_mbed.load_plugin())
#HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_copy_firefox.load_plugin())
# Extra platforms support
#HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_copy_mps2.load_plugin())
#HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_reset_mps2.load_plugin())
HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_copy_silabs.load_plugin())
HOST_TEST_PLUGIN_REGISTRY.register_plugin(module_reset_silabs.load_plugin())
# TODO: extend plugin loading to files with name module_*.py loaded ad-hoc
###############################################################################
# Functional interface for host test plugin registry
###############################################################################
def call_plugin(type, capability, *args, **kwargs):
""" Interface to call plugin registry functional way
"""
return HOST_TEST_PLUGIN_REGISTRY.call_plugin(type, capability, *args, **kwargs)
def get_plugin_caps(type):
""" Returns list of all capabilities for plugin family with the same type.
If there are no capabilities empty list is returned
"""
return HOST_TEST_PLUGIN_REGISTRY.get_plugin_caps(type)
def print_plugin_info():
""" Prints plugins' information in user friendly way
"""
print HOST_TEST_PLUGIN_REGISTRY
|
apache-2.0
|
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jbonofre/incubator-beam
|
sdks/python/apache_beam/examples/wordcount_debugging.py
|
6
|
6617
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#
"""An example that verifies the counts and includes best practices.
On top of the basic concepts in the wordcount example, this workflow introduces
logging to Cloud Logging, and using assertions in a Dataflow pipeline.
To execute this pipeline locally, specify a local output file or output prefix
on GCS::
--output [YOUR_LOCAL_FILE | gs://YOUR_OUTPUT_PREFIX]
To execute this pipeline using the Google Cloud Dataflow service, specify
pipeline configuration::
--project YOUR_PROJECT_ID
--staging_location gs://YOUR_STAGING_DIRECTORY
--temp_location gs://YOUR_TEMP_DIRECTORY
--job_name YOUR_JOB_NAME
--runner DataflowRunner
and an output prefix on GCS::
--output gs://YOUR_OUTPUT_PREFIX
"""
from __future__ import absolute_import
import argparse
import logging
import re
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToText
from apache_beam.metrics import Metrics
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
class FilterTextFn(beam.DoFn):
"""A DoFn that filters for a specific key based on a regular expression."""
def __init__(self, pattern):
super(FilterTextFn, self).__init__()
self.pattern = pattern
# A custom metric can track values in your pipeline as it runs. Those
# values will be available in the monitoring system of the runner used
# to run the pipeline. These metrics below track the number of
# matched and unmatched words.
self.matched_words = Metrics.counter(self.__class__, 'matched_words')
self.umatched_words = Metrics.counter(self.__class__, 'umatched_words')
def process(self, element):
word, _ = element
if re.match(self.pattern, word):
# Log at INFO level each element we match. When executing this pipeline
# using the Dataflow service, these log lines will appear in the Cloud
# Logging UI.
logging.info('Matched %s', word)
self.matched_words.inc()
yield element
else:
# Log at the "DEBUG" level each element that is not matched. Different log
# levels can be used to control the verbosity of logging providing an
# effective mechanism to filter less important information.
# Note currently only "INFO" and higher level logs are emitted to the
# Cloud Logger. This log message will not be visible in the Cloud Logger.
logging.debug('Did not match %s', word)
self.umatched_words.inc()
class CountWords(beam.PTransform):
"""A transform to count the occurrences of each word.
A PTransform that converts a PCollection containing lines of text into a
PCollection of (word, count) tuples.
"""
def expand(self, pcoll):
def count_ones(word_ones):
(word, ones) = word_ones
return (word, sum(ones))
return (pcoll
| 'split' >> (beam.FlatMap(lambda x: re.findall(r'[A-Za-z\']+', x))
.with_output_types(unicode))
| 'pair_with_one' >> beam.Map(lambda x: (x, 1))
| 'group' >> beam.GroupByKey()
| 'count' >> beam.Map(count_ones))
def run(argv=None):
"""Runs the debugging wordcount pipeline."""
parser = argparse.ArgumentParser()
parser.add_argument('--input',
dest='input',
default='gs://dataflow-samples/shakespeare/kinglear.txt',
help='Input file to process.')
parser.add_argument('--output',
dest='output',
required=True,
help='Output file to write results to.')
known_args, pipeline_args = parser.parse_known_args(argv)
# We use the save_main_session option because one or more DoFn's in this
# workflow rely on global context (e.g., a module imported at module level).
pipeline_options = PipelineOptions(pipeline_args)
pipeline_options.view_as(SetupOptions).save_main_session = True
with beam.Pipeline(options=pipeline_options) as p:
# Read the text file[pattern] into a PCollection, count the occurrences of
# each word and filter by a list of words.
filtered_words = (
p | 'read' >> ReadFromText(known_args.input)
| CountWords()
| 'FilterText' >> beam.ParDo(FilterTextFn('Flourish|stomach')))
# assert_that is a convenient PTransform that checks a PCollection has an
# expected value. Asserts are best used in unit tests with small data sets
# but is demonstrated here as a teaching tool.
#
# Note assert_that does not provide any output and that successful
# completion of the Pipeline implies that the expectations were met. Learn
# more at https://cloud.google.com/dataflow/pipelines/testing-your-pipeline
# on how to best test your pipeline.
assert_that(
filtered_words, equal_to([('Flourish', 3), ('stomach', 1)]))
# Format the counts into a PCollection of strings and write the output using
# a "Write" transform that has side effects.
# pylint: disable=unused-variable
def format_result(word_count):
(word, count) = word_count
return '%s: %s' % (word, count)
output = (filtered_words
| 'format' >> beam.Map(format_result)
| 'write' >> WriteToText(known_args.output))
if __name__ == '__main__':
# Cloud Logging would contain only logging.INFO and higher level logs logged
# by the root logger. All log statements emitted by the root logger will be
# visible in the Cloud Logging UI. Learn more at
# https://cloud.google.com/logging about the Cloud Logging UI.
#
# You can set the default logging level to a different level when running
# locally.
logging.getLogger().setLevel(logging.INFO)
run()
|
apache-2.0
|
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] |
project-generator/project_generator
|
tests/test_commands/test_list.py
|
6
|
2455
|
# Copyright 2015 0xc0170
#
# 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 argparse
import os
import yaml
import shutil
from unittest import TestCase
from project_generator.commands import list_projects
from .simple_project import project_1_yaml, projects_yaml, project_2_yaml
class TestListCommand(TestCase):
"""test list command"""
def setUp(self):
# we produce some files, to check if list projects listing the projects we defined
if not os.path.exists('test_workspace'):
os.makedirs('test_workspace')
# write projects file
with open(os.path.join(os.getcwd(), 'test_workspace/projects.yaml'), 'wt') as f:
f.write(yaml.dump(projects_yaml, default_flow_style=False))
self.parser = argparse.ArgumentParser()
subparsers = self.parser.add_subparsers(help='commands')
self.subparser = subparsers.add_parser('list', help=list_projects.help)
def tearDown(self):
# remove created directory
shutil.rmtree('test_workspace', ignore_errors=True)
def test_list_projects(self):
# For now list projects should not fail, we should add checking stdout if projects match
list_projects.setup(self.subparser)
args = self.parser.parse_args(['list','projects'])
result = list_projects.run(args)
assert result == 0
def test_list_targets(self):
# For now list projects should not fail, we should add checking stdout if targets match
list_projects.setup(self.subparser)
args = self.parser.parse_args(['list','targets'])
result = list_projects.run(args)
assert result == 0
def test_list_tools(self):
# For now list projects should not fail, we should add checking stdout if tools match
list_projects.setup(self.subparser)
args = self.parser.parse_args(['list','tools'])
result = list_projects.run(args)
assert result == 0
|
apache-2.0
|
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JuliaLang/JuliaBox
|
engine/src/juliabox/plugins/usage_accounting/usage_accounting_tbl.py
|
3
|
5265
|
import datetime
import pytz
import json
import random
from boto.dynamodb2.fields import HashKey, RangeKey, AllIndex, IncludeIndex
from boto.dynamodb2.types import NUMBER, STRING
from juliabox.db import JBPluginDB
from juliabox.db import JBoxDB
class JBoxAccountingV2(JBPluginDB):
provides = [JBPluginDB.JBP_TABLE_DYNAMODB, JBPluginDB.JBP_USAGE_ACCOUNTING]
NAME = 'jbox_accounting_v2'
SCHEMA = [
HashKey('stop_date', data_type=NUMBER),
RangeKey('stop_time', data_type=NUMBER)
]
INDEXES = [
AllIndex('container_id-stop_time-index', parts=[
HashKey('container_id', data_type=STRING),
RangeKey('stop_time', data_type=NUMBER)
]),
IncludeIndex('image_id-stop_time-index', parts=[
HashKey('image_id', data_type=STRING),
RangeKey('stop_time', data_type=NUMBER)
], includes=['container_id'])
]
KEYS = ['stop_date', 'stop_time']
ATTRIBUTES = ['image_id', 'container_id', 'start_date', 'start_time']
SQL_INDEXES = [
{'name': 'container_id-stop_time-index',
'cols': ['container_id', 'stop_time']},
{'name': 'image_id-stop_time-index',
'cols': ['image_id', 'stop_time']},
]
KEYS_TYPES = [JBoxDB.INT, JBoxDB.INT]
TYPES = [JBoxDB.VCHAR, JBoxDB.VCHAR, JBoxDB.INT, JBoxDB.INT]
TABLE = None
_stats_cache = {}
def __init__(self, container_id, image_id, start_time, stop_time=None):
if None == stop_time:
stop_datetime = datetime.datetime.now(pytz.utc)
else:
stop_datetime = stop_time
stop_time = JBoxAccountingV2.datetime_to_epoch_secs(stop_datetime, allow_microsecs=True)
stop_date = JBoxAccountingV2.datetime_to_yyyymmdd(stop_datetime)
data = {
'stop_date': stop_date,
'stop_time': stop_time,
'image_id': image_id,
'container_id': container_id,
'start_time': JBoxAccountingV2.datetime_to_epoch_secs(start_time),
'start_date': JBoxAccountingV2.datetime_to_yyyymmdd(start_time)
}
self.create(data)
self.item = self.fetch(stop_date=stop_date, stop_time=stop_time)
self.is_new = True
@staticmethod
def _query_stats_date(date):
# TODO: caching items is not a good idea. Should cache computed data instead.
today = datetime.datetime.now()
date_day = JBoxAccountingV2.datetime_to_yyyymmdd(date)
today_day = JBoxAccountingV2.datetime_to_yyyymmdd(today)
istoday = date_day == today_day
if date_day in JBoxAccountingV2._stats_cache:
return JBoxAccountingV2._stats_cache[date_day]
res = JBoxAccountingV2.query(stop_date__eq=date_day, stop_time__gte=0)
items = []
for item in res:
items.append(item)
if not istoday:
JBoxAccountingV2._stats_cache[date_day] = items
return items
@staticmethod
def get_stats(dates=(datetime.datetime.now(),)):
sum_time = 0
item_count = 0
image_count = {}
container_freq = {}
for date in dates:
items = JBoxAccountingV2._query_stats_date(date)
for x in items:
item_count += 1
if 'start_time' in x:
sum_time += x['stop_time'] - int(x['start_time'])
try:
image_ids = json.loads(x['image_id'])
except:
image_ids = []
for image_id in image_ids:
if image_id.startswith("juliabox/") and (not image_id.endswith(":latest")):
image_count[image_id] = image_count.get(image_id, 0) + 1
cid = x['container_id']
container_freq[cid] = container_freq.get(cid, 0) + 1
def fmt(seconds):
hrs = int(seconds / 3600)
mins = int(seconds / 60)
secs = int(seconds)
return "%dh %dm %ds" % (hrs, mins % 60, secs % 60)
active_users = 0
for container in container_freq:
if container_freq[container] > 2:
active_users += 1
return dict(
session_count=item_count,
avg_time=fmt(float(sum_time) / item_count) if item_count != 0 else 'NA',
images_used=image_count,
unique_users=len(container_freq),
active_users=active_users)
@staticmethod
def record_session_time(container_name, images_used, time_created, time_finished):
for retry in range(1, 10):
try:
start_time = time_created
finish_time = time_finished
if retry > 1:
finish_time += datetime.timedelta(microseconds=random.randint(1, 100))
acct = JBoxAccountingV2(container_name, json.dumps(images_used),
start_time, stop_time=finish_time)
acct.save()
break
except:
if retry == 10:
JBoxAccountingV2.log_exception("error recording usage")
else:
JBoxAccountingV2.log_warn("error recording usage, shall retry.")
|
mit
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minhphung171093/OpenERP_V8
|
openerp/addons/mail/wizard/__init__.py
|
438
|
1075
|
# -*- coding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2010-Today OpenERP SA (<http://www.openerp.com>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>
#
##############################################################################
import invite
import mail_compose_message
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
agpl-3.0
|
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n1nj4sec/memorpy
|
memorpy/utils.py
|
4
|
3335
|
# Author: Nicolas VERDIER
# This file is part of memorpy.
#
# memorpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# memorpy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with memorpy. If not, see <http://www.gnu.org/licenses/>.
import re
import struct
def re_to_unicode(s):
newstring = ''
for c in s:
newstring += re.escape(c) + '\\x00'
return newstring
def type_unpack(type):
""" return the struct and the len of a particular type """
type = type.lower()
s = None
l = None
if type == 'short':
s = 'h'
l = 2
elif type == 'ushort':
s = 'H'
l = 2
elif type == 'int':
s = 'i'
l = 4
elif type == 'uint':
s = 'I'
l = 4
elif type == 'long':
s = 'l'
l = 4
elif type == 'ulong':
s = 'L'
l = 4
elif type == 'float':
s = 'f'
l = 4
elif type == 'double':
s = 'd'
l = 8
else:
raise TypeError('Unknown type %s' % type)
return ('<' + s, l)
def hex_dump(data, addr = 0, prefix = '', ftype = 'bytes'):
"""
function originally from pydbg, modified to display other types
"""
dump = prefix
slice = ''
if ftype != 'bytes':
structtype, structlen = type_unpack(ftype)
for i in range(0, len(data), structlen):
if addr % 16 == 0:
dump += ' '
for char in slice:
if ord(char) >= 32 and ord(char) <= 126:
dump += char
else:
dump += '.'
dump += '\n%s%08X: ' % (prefix, addr)
slice = ''
tmpval = 'NaN'
try:
packedval = data[i:i + structlen]
tmpval = struct.unpack(structtype, packedval)[0]
except Exception as e:
print e
if tmpval == 'NaN':
dump += '{:<15} '.format(tmpval)
elif ftype == 'float':
dump += '{:<15.4f} '.format(tmpval)
else:
dump += '{:<15} '.format(tmpval)
addr += structlen
else:
for byte in data:
if addr % 16 == 0:
dump += ' '
for char in slice:
if ord(char) >= 32 and ord(char) <= 126:
dump += char
else:
dump += '.'
dump += '\n%s%08X: ' % (prefix, addr)
slice = ''
dump += '%02X ' % ord(byte)
slice += byte
addr += 1
remainder = addr % 16
if remainder != 0:
dump += ' ' * (16 - remainder) + ' '
for char in slice:
if ord(char) >= 32 and ord(char) <= 126:
dump += char
else:
dump += '.'
return dump + '\n'
|
gpl-3.0
|
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] |
sxjscience/tvm
|
python/tvm/auto_scheduler/cost_model/xgb_model.py
|
1
|
20288
|
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
# pylint: disable=invalid-name
"""Cost model based on xgboost"""
import multiprocessing
import logging
from collections import defaultdict
import numpy as np
import xgboost as xgb
from xgboost.core import EarlyStopException
from xgboost.callback import _fmt_metric
from xgboost.training import aggcv
from tvm.autotvm.tuner.metric import max_curve
from .cost_model import PythonBasedModel
from ..feature import get_per_store_features_from_measure_pairs, get_per_store_features_from_states
from ..measure_record import RecordReader
logger = logging.getLogger("auto_scheduler")
class XGBDMatrixContext:
"""A global context to hold additional attributes of xgb.DMatrix"""
def __init__(self):
self.context_dict = defaultdict(dict)
def get(self, key, matrix, default=None):
"""
Get an attribute of a xgb.DMatrix
Parameters
----------
key: str
The name of the attribute
matrix: xgb.DMatrix
The matrix
default: Optional[Any]
The default value if the item does not exist
"""
return self.context_dict[key].get(matrix.handle.value, default)
def set(self, key, matrix, value):
"""
Set an attribute for a xgb.DMatrix
Parameters
----------
key: str
The name of the attribute
matrix: xgb.DMatrix
The matrix
value: Optional[Any]
The new value
"""
self.context_dict[key][matrix.handle.value] = value
dmatrix_context = XGBDMatrixContext()
class XGBModel(PythonBasedModel):
"""Train a XGBoost model to predict the normalized throughputs of programs.
Let the normalized throughput be the score of a program (higher is better). We predict
the (approximiate) score of a program = the sum of the scores of all stages in this program.
i.e. score(P) = score_s0 + score_s1 + ... + score_sn,
where score_si is the score of Stage i in Program P.
We extract feature for each stage and let the xgboost predict the score for each stage.
We then sum up the predictions as the score of the whole program.
We use RMSE as the loss function. i.e. loss(P, y) = 1/2 * (score(P) - y)^2,
where P is the program and y is the normalized throughput according to
the ground truth (measurement).
XGBoost does not support this loss function because `score(P)` is a sum of the prediction
of several samples, so we implemented a custom loss function and call it pack-sum-rmse.
It is called "pack-sum" because we combine several samples into a "pack" and sum up
their predictions.
"""
def __init__(self, verbose_eval=25, num_warmup_sample=100, seed=None):
self.xgb_params = {
"max_depth": 10,
"gamma": 0.001,
"min_child_weight": 0,
"eta": 0.2,
# todo(merrymercy): automatically decrease learning rate when the loss is too large
"n_gpus": 0,
"nthread": multiprocessing.cpu_count() // 2,
"verbosity": 0,
"seed": seed or 43,
"disable_default_eval_metric": 1,
}
self.bst = None
self.plan_size = 32
self.num_warmup_sample = num_warmup_sample
self.verbose_eval = verbose_eval
super().__init__()
# cache measurement input/result pairs and extracted features
self.inputs = []
self.results = []
self.inputs_feature_cache = []
def update(self, inputs, results):
"""Update the cost model according to new measurement results (training data).
XGBoost does not support incremental training, so we re-train a new model every time.
Parameters
----------
inputs : List[MeasureInput]
The measurement inputs
results : List[MeasureResult]
The measurement results
"""
if len(inputs) <= 0:
return
assert len(inputs) == len(results)
self.inputs.extend(inputs)
self.results.extend(results)
# extract feature
n_cached = len(self.inputs_feature_cache)
features, normalized_throughputs, task_ids = get_per_store_features_from_measure_pairs(
self.inputs, self.results, skip_first_n_feature_extraction=n_cached
)
if n_cached > 0:
features = list(features)
features[:n_cached] = self.inputs_feature_cache
features = np.array(features, dtype=object)
self.inputs_feature_cache = features
dtrain = pack_sum_xgbmatrix(
features, normalized_throughputs, task_ids, normalized_throughputs
)
# train xgb model
self.bst = xgb.train(
self.xgb_params,
dtrain,
num_boost_round=10000,
obj=pack_sum_square_error,
callbacks=[
custom_callback(
stopping_rounds=50,
metric="tr-p-rmse",
fevals=[
pack_sum_rmse,
pack_sum_average_peak_score(self.plan_size),
],
evals=[(dtrain, "tr")],
maximize=False,
verbose_eval=self.verbose_eval,
)
],
)
def predict(self, task, states):
"""Predict the scores of states
Parameters
----------
search_task : SearchTask
The search task of states
statse : List[State]
The input states
Returns
-------
scores: List[float]
The predicted scores for all states
"""
features = get_per_store_features_from_states(states, task)
if self.bst is not None and len(self.inputs) > self.num_warmup_sample:
dtest, pack_ids = feature_to_pack_sum_xgbmatrix(features)
raw_preds = self.bst.predict(dtest)
ret = predict_throughput_pack_sum(raw_preds, pack_ids)
else:
ret = np.random.uniform(0, 1, (len(states),))
# Predict 0 for invalid states that failed to be lowered.
for idx, feature in enumerate(features):
if feature.min() == feature.max() == 0:
ret[idx] = float("-inf")
return ret
def predict_stages(self, task, states):
"""Predict the scores of all stages in states. This is the breakdown version of `predict`.
Parameters
----------
search_task : SearchTask
The search task of states
statse : List[State]
The input states
Returns
-------
scores: List[float]
The predicted scores for all stages in all states in the packed format
Note
----
For faster data copy between c++ and python, the python part returns scores in a
single flatten array using a packed format. The c++ part then unpacks the flatten array.
The packed format is:
{
float scores[N]; // scores[i] is the score for states[i].
int n_stage_0; // the number of stages in states[0]
float stage_scores_0[[n_stage_0] // the scores for all stages in states[0]
int n_stage_1; // the number of stages in states[1]
float stage_scores_1[n_stage_1]; // the scores for all stages in states[1]
...
int n_stage_i; // the number of stages in states[i]
float stage_scores_1[n_stage_i]; // the scores for all stages in states[i]
... // untill i == N - 1
}
To implement this format, we also store int as float, so we can store all numbers
into a single float array.
"""
features = get_per_store_features_from_states(states, task)
if self.bst is not None and len(self.inputs) > self.num_warmup_sample:
dtest, pack_ids = feature_to_pack_sum_xgbmatrix(features)
raw_preds = self.bst.predict(dtest)
breakdown = predict_throughput_pack_sum(raw_preds, pack_ids)
stage_scores = [[] for _ in range(len(states))]
for pred, pack_id in zip(raw_preds, pack_ids):
stage_scores[pack_id].append(pred)
for idx, stage_score in enumerate(stage_scores):
breakdown = np.append(breakdown, len(stage_score))
breakdown = np.concatenate((breakdown, np.array(stage_score)))
else:
breakdown = np.concatenate(
(
np.random.uniform(0, 1, (len(states),)),
np.zeros(
len(states),
),
)
)
# Predict 0 for invalid states that failed to be lowered.
for idx, feature in enumerate(features):
if feature.min() == feature.max() == 0:
breakdown[idx] = float("-inf")
return breakdown
def update_from_file(self, file_name, n_lines=None):
"""Load measure records from a log file to update the cost model.
This function can be used to pre-train the cost model with history log files.
Parameters
----------
file_name: str
The filename
n_lines: Optional[int]
Only load first n lines of the log file
"""
inputs, results = RecordReader(file_name).read_lines(n_lines)
logger.info("XGBModel: Loaded %s measurement records from %s", len(inputs), file_name)
self.update(inputs, results)
def save(self, file_name: str):
"""Save the model to a file
Parameters
----------
file_name: str
The filename
"""
self.bst.save_model(file_name)
def load(self, file_name: str):
"""Load the model from a file
Parameters
----------
file_name: str
The filename
"""
if self.bst is None:
self.bst = xgb.Booster(self.xgb_params)
self.bst.load_model(file_name)
self.num_warmup_sample = -1
def feature_to_pack_sum_xgbmatrix(xs):
"""Convert an extracted multi-stage feature vector to a xgbmatrx in pack-sum format
Parameters
----------
xs: np.ndarray
The feature vector
Returns
-------
dmatrix: xgb.DMatrix
The DMatrix
pack_ids: List[int]
pack ids information
"""
x_flatten = []
pack_ids = []
for ct, x in enumerate(xs):
for row in x:
x_flatten.append(row)
pack_ids.append(ct)
return xgb.DMatrix(np.array(x_flatten)), pack_ids
def pack_sum_xgbmatrix(xs, ys, gids=None, weights=None):
"""Convert (feature, label) pairs into a xgb matrix with pack-sum format
Parameters
----------
xs: np.ndarray
The feature vector
ys: np.ndarray
The normaizlied throughput
gids: Optional[List[int]]
Group id (task id)
weights: Optional[np.ndarray]
The weight of samples
Returns
-------
dmatrix: xgb.DMatrix
The DMatrix with pack-sum information
"""
if gids is not None:
# sort by group
indices = gids.argsort()
xs, ys = xs[indices], ys[indices]
group_sizes = np.bincount(gids)
if weights is not None:
weights = weights[indices]
else:
# assume it has only one group
group_sizes = [len(xs)]
x_flatten = []
y_flatten = []
weights_flatten = []
pack_ids = []
if weights is not None:
for ct, (x, y, w) in enumerate(zip(xs, ys, weights)):
for row in x:
x_flatten.append(row)
y_flatten.append(y)
weights_flatten.append(w)
pack_ids.append(ct)
else:
for ct, (x, y) in enumerate(zip(xs, ys)):
for row in x:
x_flatten.append(row)
y_flatten.append(y)
pack_ids.append(ct)
ret = xgb.DMatrix(np.array(x_flatten), y_flatten)
if weights is not None:
ret.set_weight(weights_flatten)
dmatrix_context.set("pack_ids", ret, np.array(pack_ids))
dmatrix_context.set("group_sizes", ret, group_sizes)
return ret
def predict_throughput_pack_sum(raw_preds, pack_ids):
"""Predict the throughputs for predictions in pack-sum format
Parameters
----------
raw_preds: np.ndarray
The raw predictions
pack_ids: List[int]
The pack id for predictions
Returns
-------
throughputs: np.ndarray
The throughput
"""
sum_pred = np.bincount(pack_ids, weights=raw_preds)
return sum_pred
def pack_sum_square_error(preds, dtrain):
"""Implement square error loss on pack-sum format as
a custom objective function for xgboost.
Parameters
----------
preds: np.ndarray
The predicitons
dtrain: xgb.DMatrix
The training set
Returns
-------
gradient: np.ndarray
hessian: np.ndarray
gradient and hessian according to the xgboost format
"""
pack_ids = dmatrix_context.get("pack_ids", dtrain)
weight = dtrain.get_weight()
sum_pred = np.bincount(pack_ids, weights=preds)
x = sum_pred[pack_ids]
y = dtrain.get_label()
gradient = x - y
hessian = np.ones_like(gradient)
if len(weight) == 0:
return gradient, hessian
return gradient * weight, hessian * weight
def pack_sum_rmse(raw_preds, labels):
"""Evaluate RMSE (rooted mean square error) in the pack-sum format
Parameters
----------
raw_preds: np.ndarray
The raw prediction
labels: xgb.DMatrix
The groud-truth label matrix
Returns
-------
name: str
score: float
The name and score of this metric
"""
pack_ids = dmatrix_context.get("pack_ids", labels)
preds = predict_throughput_pack_sum(raw_preds, pack_ids)[pack_ids]
return "p-rmse", np.sqrt(np.mean(np.square((preds - labels.get_label()))))
def pack_sum_average_peak_score(N):
"""Return the evaluation function for average-peak-score@N
Parameters
----------
N: int
The "N" in "average-peak-score@N"
Returns
-------
The evaluation function
"""
def feval(preds, labels):
"""Evaluate average-peak-score@N in the pack-sum format
Parameters
----------
raw_preds: np.ndarray
The raw prediction
labels: xgb.DMatrix
The groud-truth label matrix
Returns
-------
name: str
score: float
The name and score of this metric
"""
group_sizes = dmatrix_context.get("group_sizes", labels, [len(preds)])
pack_ids = dmatrix_context.get("pack_ids", labels)
preds = predict_throughput_pack_sum(preds, pack_ids)
labels = (
np.bincount(pack_ids, weights=labels.get_label())
/ np.unique(pack_ids, return_counts=True)[1]
)
scores = []
offset = 0
for size in group_sizes:
preds_group = preds[offset : offset + size]
labels_group = labels[offset : offset + size]
offset += size
trials = np.argsort(preds_group)[::-1][:N]
trial_scores = labels_group[trials]
curve = max_curve(trial_scores) / np.max(labels_group)
scores.append(np.mean(curve))
return "a-peak@%d" % N, np.mean(scores)
return feval
def custom_callback(
stopping_rounds,
metric,
fevals,
evals=(),
log_file=None,
maximize=False,
verbose_eval=True,
skip_every=2,
):
"""Callback function for xgboost to support multiple custom evaluation functions"""
state = {}
metric_shortname = metric.split("-")[1]
def init(env):
"""internal function"""
bst = env.model
state["maximize_score"] = maximize
state["best_iteration"] = 0
if maximize:
state["best_score"] = float("-inf")
else:
state["best_score"] = float("inf")
if bst is not None:
if bst.attr("best_score") is not None:
state["best_score"] = float(bst.attr("best_score"))
state["best_iteration"] = int(bst.attr("best_iteration"))
state["best_msg"] = bst.attr("best_msg")
else:
bst.set_attr(best_iteration=str(state["best_iteration"]))
bst.set_attr(best_score=str(state["best_score"]))
else:
assert env.cvfolds is not None
def callback(env):
"""internal function"""
if not state:
init(env)
bst = env.model
i = env.iteration
cvfolds = env.cvfolds
res_dict = {}
if i % skip_every == 1:
return
##### evaluation #####
if cvfolds is not None:
for feval in fevals:
tmp = aggcv([f.eval(i, feval) for f in cvfolds])
for k, mean, std in tmp:
res_dict[k] = [mean, std]
else:
for feval in fevals:
bst_eval = bst.eval_set(evals, i, feval)
res = [x.split(":") for x in bst_eval.split()]
for kv in res[1:]:
res_dict[kv[0]] = [float(kv[1])]
eval_res = []
keys = list(res_dict.keys())
keys.sort(key=lambda x: x if metric_shortname not in x else "a" + x)
for key in keys:
v = res_dict[key]
eval_res.append([key] + v)
##### print eval result #####
if not isinstance(verbose_eval, bool) and verbose_eval and i % verbose_eval == 0:
infos = ["XGB iter: %3d" % i]
for item in eval_res:
if "null" in item[0]:
continue
infos.append("%s: %.6f" % (item[0], item[1]))
logger.debug("\t".join(infos))
if log_file:
with open(log_file, "a") as fout:
fout.write("\t".join(infos) + "\n")
##### choose score and do early stopping #####
score = None
for item in eval_res:
if item[0] == metric:
score = item[1]
break
assert score is not None
best_score = state["best_score"]
best_iteration = state["best_iteration"]
maximize_score = state["maximize_score"]
if (maximize_score and score > best_score) or (not maximize_score and score < best_score):
msg = "[%d] %s" % (env.iteration, "\t".join([_fmt_metric(x) for x in eval_res]))
state["best_msg"] = msg
state["best_score"] = score
state["best_iteration"] = env.iteration
# save the property to attributes, so they will occur in checkpoint.
if env.model is not None:
env.model.set_attr(
best_score=str(state["best_score"]),
best_iteration=str(state["best_iteration"]),
best_msg=state["best_msg"],
)
elif env.iteration - best_iteration >= stopping_rounds:
best_msg = state["best_msg"]
if verbose_eval and env.rank == 0:
logger.debug("XGB stopped. Best iteration: %s ", best_msg)
raise EarlyStopException(best_iteration)
return callback
|
apache-2.0
|
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Fusion-Rom/android_external_chromium_org
|
third_party/protobuf/python/google/protobuf/internal/descriptor_test.py
|
261
|
24195
|
#! /usr/bin/python
#
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# http://code.google.com/p/protobuf/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following disclaimer
# in the documentation and/or other materials provided with the
# distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""Unittest for google.protobuf.internal.descriptor."""
__author__ = 'robinson@google.com (Will Robinson)'
import unittest
from google.protobuf import unittest_custom_options_pb2
from google.protobuf import unittest_import_pb2
from google.protobuf import unittest_pb2
from google.protobuf import descriptor_pb2
from google.protobuf import descriptor
from google.protobuf import text_format
TEST_EMPTY_MESSAGE_DESCRIPTOR_ASCII = """
name: 'TestEmptyMessage'
"""
class DescriptorTest(unittest.TestCase):
def setUp(self):
self.my_file = descriptor.FileDescriptor(
name='some/filename/some.proto',
package='protobuf_unittest'
)
self.my_enum = descriptor.EnumDescriptor(
name='ForeignEnum',
full_name='protobuf_unittest.ForeignEnum',
filename=None,
file=self.my_file,
values=[
descriptor.EnumValueDescriptor(name='FOREIGN_FOO', index=0, number=4),
descriptor.EnumValueDescriptor(name='FOREIGN_BAR', index=1, number=5),
descriptor.EnumValueDescriptor(name='FOREIGN_BAZ', index=2, number=6),
])
self.my_message = descriptor.Descriptor(
name='NestedMessage',
full_name='protobuf_unittest.TestAllTypes.NestedMessage',
filename=None,
file=self.my_file,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='bb',
full_name='protobuf_unittest.TestAllTypes.NestedMessage.bb',
index=0, number=1,
type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None),
],
nested_types=[],
enum_types=[
self.my_enum,
],
extensions=[])
self.my_method = descriptor.MethodDescriptor(
name='Bar',
full_name='protobuf_unittest.TestService.Bar',
index=0,
containing_service=None,
input_type=None,
output_type=None)
self.my_service = descriptor.ServiceDescriptor(
name='TestServiceWithOptions',
full_name='protobuf_unittest.TestServiceWithOptions',
file=self.my_file,
index=0,
methods=[
self.my_method
])
def testEnumValueName(self):
self.assertEqual(self.my_message.EnumValueName('ForeignEnum', 4),
'FOREIGN_FOO')
self.assertEqual(
self.my_message.enum_types_by_name[
'ForeignEnum'].values_by_number[4].name,
self.my_message.EnumValueName('ForeignEnum', 4))
def testEnumFixups(self):
self.assertEqual(self.my_enum, self.my_enum.values[0].type)
def testContainingTypeFixups(self):
self.assertEqual(self.my_message, self.my_message.fields[0].containing_type)
self.assertEqual(self.my_message, self.my_enum.containing_type)
def testContainingServiceFixups(self):
self.assertEqual(self.my_service, self.my_method.containing_service)
def testGetOptions(self):
self.assertEqual(self.my_enum.GetOptions(),
descriptor_pb2.EnumOptions())
self.assertEqual(self.my_enum.values[0].GetOptions(),
descriptor_pb2.EnumValueOptions())
self.assertEqual(self.my_message.GetOptions(),
descriptor_pb2.MessageOptions())
self.assertEqual(self.my_message.fields[0].GetOptions(),
descriptor_pb2.FieldOptions())
self.assertEqual(self.my_method.GetOptions(),
descriptor_pb2.MethodOptions())
self.assertEqual(self.my_service.GetOptions(),
descriptor_pb2.ServiceOptions())
def testSimpleCustomOptions(self):
file_descriptor = unittest_custom_options_pb2.DESCRIPTOR
message_descriptor =\
unittest_custom_options_pb2.TestMessageWithCustomOptions.DESCRIPTOR
field_descriptor = message_descriptor.fields_by_name["field1"]
enum_descriptor = message_descriptor.enum_types_by_name["AnEnum"]
enum_value_descriptor =\
message_descriptor.enum_values_by_name["ANENUM_VAL2"]
service_descriptor =\
unittest_custom_options_pb2.TestServiceWithCustomOptions.DESCRIPTOR
method_descriptor = service_descriptor.FindMethodByName("Foo")
file_options = file_descriptor.GetOptions()
file_opt1 = unittest_custom_options_pb2.file_opt1
self.assertEqual(9876543210, file_options.Extensions[file_opt1])
message_options = message_descriptor.GetOptions()
message_opt1 = unittest_custom_options_pb2.message_opt1
self.assertEqual(-56, message_options.Extensions[message_opt1])
field_options = field_descriptor.GetOptions()
field_opt1 = unittest_custom_options_pb2.field_opt1
self.assertEqual(8765432109, field_options.Extensions[field_opt1])
field_opt2 = unittest_custom_options_pb2.field_opt2
self.assertEqual(42, field_options.Extensions[field_opt2])
enum_options = enum_descriptor.GetOptions()
enum_opt1 = unittest_custom_options_pb2.enum_opt1
self.assertEqual(-789, enum_options.Extensions[enum_opt1])
enum_value_options = enum_value_descriptor.GetOptions()
enum_value_opt1 = unittest_custom_options_pb2.enum_value_opt1
self.assertEqual(123, enum_value_options.Extensions[enum_value_opt1])
service_options = service_descriptor.GetOptions()
service_opt1 = unittest_custom_options_pb2.service_opt1
self.assertEqual(-9876543210, service_options.Extensions[service_opt1])
method_options = method_descriptor.GetOptions()
method_opt1 = unittest_custom_options_pb2.method_opt1
self.assertEqual(unittest_custom_options_pb2.METHODOPT1_VAL2,
method_options.Extensions[method_opt1])
def testDifferentCustomOptionTypes(self):
kint32min = -2**31
kint64min = -2**63
kint32max = 2**31 - 1
kint64max = 2**63 - 1
kuint32max = 2**32 - 1
kuint64max = 2**64 - 1
message_descriptor =\
unittest_custom_options_pb2.CustomOptionMinIntegerValues.DESCRIPTOR
message_options = message_descriptor.GetOptions()
self.assertEqual(False, message_options.Extensions[
unittest_custom_options_pb2.bool_opt])
self.assertEqual(kint32min, message_options.Extensions[
unittest_custom_options_pb2.int32_opt])
self.assertEqual(kint64min, message_options.Extensions[
unittest_custom_options_pb2.int64_opt])
self.assertEqual(0, message_options.Extensions[
unittest_custom_options_pb2.uint32_opt])
self.assertEqual(0, message_options.Extensions[
unittest_custom_options_pb2.uint64_opt])
self.assertEqual(kint32min, message_options.Extensions[
unittest_custom_options_pb2.sint32_opt])
self.assertEqual(kint64min, message_options.Extensions[
unittest_custom_options_pb2.sint64_opt])
self.assertEqual(0, message_options.Extensions[
unittest_custom_options_pb2.fixed32_opt])
self.assertEqual(0, message_options.Extensions[
unittest_custom_options_pb2.fixed64_opt])
self.assertEqual(kint32min, message_options.Extensions[
unittest_custom_options_pb2.sfixed32_opt])
self.assertEqual(kint64min, message_options.Extensions[
unittest_custom_options_pb2.sfixed64_opt])
message_descriptor =\
unittest_custom_options_pb2.CustomOptionMaxIntegerValues.DESCRIPTOR
message_options = message_descriptor.GetOptions()
self.assertEqual(True, message_options.Extensions[
unittest_custom_options_pb2.bool_opt])
self.assertEqual(kint32max, message_options.Extensions[
unittest_custom_options_pb2.int32_opt])
self.assertEqual(kint64max, message_options.Extensions[
unittest_custom_options_pb2.int64_opt])
self.assertEqual(kuint32max, message_options.Extensions[
unittest_custom_options_pb2.uint32_opt])
self.assertEqual(kuint64max, message_options.Extensions[
unittest_custom_options_pb2.uint64_opt])
self.assertEqual(kint32max, message_options.Extensions[
unittest_custom_options_pb2.sint32_opt])
self.assertEqual(kint64max, message_options.Extensions[
unittest_custom_options_pb2.sint64_opt])
self.assertEqual(kuint32max, message_options.Extensions[
unittest_custom_options_pb2.fixed32_opt])
self.assertEqual(kuint64max, message_options.Extensions[
unittest_custom_options_pb2.fixed64_opt])
self.assertEqual(kint32max, message_options.Extensions[
unittest_custom_options_pb2.sfixed32_opt])
self.assertEqual(kint64max, message_options.Extensions[
unittest_custom_options_pb2.sfixed64_opt])
message_descriptor =\
unittest_custom_options_pb2.CustomOptionOtherValues.DESCRIPTOR
message_options = message_descriptor.GetOptions()
self.assertEqual(-100, message_options.Extensions[
unittest_custom_options_pb2.int32_opt])
self.assertAlmostEqual(12.3456789, message_options.Extensions[
unittest_custom_options_pb2.float_opt], 6)
self.assertAlmostEqual(1.234567890123456789, message_options.Extensions[
unittest_custom_options_pb2.double_opt])
self.assertEqual("Hello, \"World\"", message_options.Extensions[
unittest_custom_options_pb2.string_opt])
self.assertEqual("Hello\0World", message_options.Extensions[
unittest_custom_options_pb2.bytes_opt])
dummy_enum = unittest_custom_options_pb2.DummyMessageContainingEnum
self.assertEqual(
dummy_enum.TEST_OPTION_ENUM_TYPE2,
message_options.Extensions[unittest_custom_options_pb2.enum_opt])
message_descriptor =\
unittest_custom_options_pb2.SettingRealsFromPositiveInts.DESCRIPTOR
message_options = message_descriptor.GetOptions()
self.assertAlmostEqual(12, message_options.Extensions[
unittest_custom_options_pb2.float_opt], 6)
self.assertAlmostEqual(154, message_options.Extensions[
unittest_custom_options_pb2.double_opt])
message_descriptor =\
unittest_custom_options_pb2.SettingRealsFromNegativeInts.DESCRIPTOR
message_options = message_descriptor.GetOptions()
self.assertAlmostEqual(-12, message_options.Extensions[
unittest_custom_options_pb2.float_opt], 6)
self.assertAlmostEqual(-154, message_options.Extensions[
unittest_custom_options_pb2.double_opt])
def testComplexExtensionOptions(self):
descriptor =\
unittest_custom_options_pb2.VariousComplexOptions.DESCRIPTOR
options = descriptor.GetOptions()
self.assertEqual(42, options.Extensions[
unittest_custom_options_pb2.complex_opt1].foo)
self.assertEqual(324, options.Extensions[
unittest_custom_options_pb2.complex_opt1].Extensions[
unittest_custom_options_pb2.quux])
self.assertEqual(876, options.Extensions[
unittest_custom_options_pb2.complex_opt1].Extensions[
unittest_custom_options_pb2.corge].qux)
self.assertEqual(987, options.Extensions[
unittest_custom_options_pb2.complex_opt2].baz)
self.assertEqual(654, options.Extensions[
unittest_custom_options_pb2.complex_opt2].Extensions[
unittest_custom_options_pb2.grault])
self.assertEqual(743, options.Extensions[
unittest_custom_options_pb2.complex_opt2].bar.foo)
self.assertEqual(1999, options.Extensions[
unittest_custom_options_pb2.complex_opt2].bar.Extensions[
unittest_custom_options_pb2.quux])
self.assertEqual(2008, options.Extensions[
unittest_custom_options_pb2.complex_opt2].bar.Extensions[
unittest_custom_options_pb2.corge].qux)
self.assertEqual(741, options.Extensions[
unittest_custom_options_pb2.complex_opt2].Extensions[
unittest_custom_options_pb2.garply].foo)
self.assertEqual(1998, options.Extensions[
unittest_custom_options_pb2.complex_opt2].Extensions[
unittest_custom_options_pb2.garply].Extensions[
unittest_custom_options_pb2.quux])
self.assertEqual(2121, options.Extensions[
unittest_custom_options_pb2.complex_opt2].Extensions[
unittest_custom_options_pb2.garply].Extensions[
unittest_custom_options_pb2.corge].qux)
self.assertEqual(1971, options.Extensions[
unittest_custom_options_pb2.ComplexOptionType2
.ComplexOptionType4.complex_opt4].waldo)
self.assertEqual(321, options.Extensions[
unittest_custom_options_pb2.complex_opt2].fred.waldo)
self.assertEqual(9, options.Extensions[
unittest_custom_options_pb2.complex_opt3].qux)
self.assertEqual(22, options.Extensions[
unittest_custom_options_pb2.complex_opt3].complexoptiontype5.plugh)
self.assertEqual(24, options.Extensions[
unittest_custom_options_pb2.complexopt6].xyzzy)
# Check that aggregate options were parsed and saved correctly in
# the appropriate descriptors.
def testAggregateOptions(self):
file_descriptor = unittest_custom_options_pb2.DESCRIPTOR
message_descriptor =\
unittest_custom_options_pb2.AggregateMessage.DESCRIPTOR
field_descriptor = message_descriptor.fields_by_name["fieldname"]
enum_descriptor = unittest_custom_options_pb2.AggregateEnum.DESCRIPTOR
enum_value_descriptor = enum_descriptor.values_by_name["VALUE"]
service_descriptor =\
unittest_custom_options_pb2.AggregateService.DESCRIPTOR
method_descriptor = service_descriptor.FindMethodByName("Method")
# Tests for the different types of data embedded in fileopt
file_options = file_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.fileopt]
self.assertEqual(100, file_options.i)
self.assertEqual("FileAnnotation", file_options.s)
self.assertEqual("NestedFileAnnotation", file_options.sub.s)
self.assertEqual("FileExtensionAnnotation", file_options.file.Extensions[
unittest_custom_options_pb2.fileopt].s)
self.assertEqual("EmbeddedMessageSetElement", file_options.mset.Extensions[
unittest_custom_options_pb2.AggregateMessageSetElement
.message_set_extension].s)
# Simple tests for all the other types of annotations
self.assertEqual(
"MessageAnnotation",
message_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.msgopt].s)
self.assertEqual(
"FieldAnnotation",
field_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.fieldopt].s)
self.assertEqual(
"EnumAnnotation",
enum_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.enumopt].s)
self.assertEqual(
"EnumValueAnnotation",
enum_value_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.enumvalopt].s)
self.assertEqual(
"ServiceAnnotation",
service_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.serviceopt].s)
self.assertEqual(
"MethodAnnotation",
method_descriptor.GetOptions().Extensions[
unittest_custom_options_pb2.methodopt].s)
def testNestedOptions(self):
nested_message =\
unittest_custom_options_pb2.NestedOptionType.NestedMessage.DESCRIPTOR
self.assertEqual(1001, nested_message.GetOptions().Extensions[
unittest_custom_options_pb2.message_opt1])
nested_field = nested_message.fields_by_name["nested_field"]
self.assertEqual(1002, nested_field.GetOptions().Extensions[
unittest_custom_options_pb2.field_opt1])
outer_message =\
unittest_custom_options_pb2.NestedOptionType.DESCRIPTOR
nested_enum = outer_message.enum_types_by_name["NestedEnum"]
self.assertEqual(1003, nested_enum.GetOptions().Extensions[
unittest_custom_options_pb2.enum_opt1])
nested_enum_value = outer_message.enum_values_by_name["NESTED_ENUM_VALUE"]
self.assertEqual(1004, nested_enum_value.GetOptions().Extensions[
unittest_custom_options_pb2.enum_value_opt1])
nested_extension = outer_message.extensions_by_name["nested_extension"]
self.assertEqual(1005, nested_extension.GetOptions().Extensions[
unittest_custom_options_pb2.field_opt2])
def testFileDescriptorReferences(self):
self.assertEqual(self.my_enum.file, self.my_file)
self.assertEqual(self.my_message.file, self.my_file)
def testFileDescriptor(self):
self.assertEqual(self.my_file.name, 'some/filename/some.proto')
self.assertEqual(self.my_file.package, 'protobuf_unittest')
class DescriptorCopyToProtoTest(unittest.TestCase):
"""Tests for CopyTo functions of Descriptor."""
def _AssertProtoEqual(self, actual_proto, expected_class, expected_ascii):
expected_proto = expected_class()
text_format.Merge(expected_ascii, expected_proto)
self.assertEqual(
actual_proto, expected_proto,
'Not equal,\nActual:\n%s\nExpected:\n%s\n'
% (str(actual_proto), str(expected_proto)))
def _InternalTestCopyToProto(self, desc, expected_proto_class,
expected_proto_ascii):
actual = expected_proto_class()
desc.CopyToProto(actual)
self._AssertProtoEqual(
actual, expected_proto_class, expected_proto_ascii)
def testCopyToProto_EmptyMessage(self):
self._InternalTestCopyToProto(
unittest_pb2.TestEmptyMessage.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_EMPTY_MESSAGE_DESCRIPTOR_ASCII)
def testCopyToProto_NestedMessage(self):
TEST_NESTED_MESSAGE_ASCII = """
name: 'NestedMessage'
field: <
name: 'bb'
number: 1
label: 1 # Optional
type: 5 # TYPE_INT32
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestAllTypes.NestedMessage.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_NESTED_MESSAGE_ASCII)
def testCopyToProto_ForeignNestedMessage(self):
TEST_FOREIGN_NESTED_ASCII = """
name: 'TestForeignNested'
field: <
name: 'foreign_nested'
number: 1
label: 1 # Optional
type: 11 # TYPE_MESSAGE
type_name: '.protobuf_unittest.TestAllTypes.NestedMessage'
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestForeignNested.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_FOREIGN_NESTED_ASCII)
def testCopyToProto_ForeignEnum(self):
TEST_FOREIGN_ENUM_ASCII = """
name: 'ForeignEnum'
value: <
name: 'FOREIGN_FOO'
number: 4
>
value: <
name: 'FOREIGN_BAR'
number: 5
>
value: <
name: 'FOREIGN_BAZ'
number: 6
>
"""
self._InternalTestCopyToProto(
unittest_pb2._FOREIGNENUM,
descriptor_pb2.EnumDescriptorProto,
TEST_FOREIGN_ENUM_ASCII)
def testCopyToProto_Options(self):
TEST_DEPRECATED_FIELDS_ASCII = """
name: 'TestDeprecatedFields'
field: <
name: 'deprecated_int32'
number: 1
label: 1 # Optional
type: 5 # TYPE_INT32
options: <
deprecated: true
>
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestDeprecatedFields.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_DEPRECATED_FIELDS_ASCII)
def testCopyToProto_AllExtensions(self):
TEST_EMPTY_MESSAGE_WITH_EXTENSIONS_ASCII = """
name: 'TestEmptyMessageWithExtensions'
extension_range: <
start: 1
end: 536870912
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestEmptyMessageWithExtensions.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_EMPTY_MESSAGE_WITH_EXTENSIONS_ASCII)
def testCopyToProto_SeveralExtensions(self):
TEST_MESSAGE_WITH_SEVERAL_EXTENSIONS_ASCII = """
name: 'TestMultipleExtensionRanges'
extension_range: <
start: 42
end: 43
>
extension_range: <
start: 4143
end: 4244
>
extension_range: <
start: 65536
end: 536870912
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestMultipleExtensionRanges.DESCRIPTOR,
descriptor_pb2.DescriptorProto,
TEST_MESSAGE_WITH_SEVERAL_EXTENSIONS_ASCII)
def testCopyToProto_FileDescriptor(self):
UNITTEST_IMPORT_FILE_DESCRIPTOR_ASCII = ("""
name: 'google/protobuf/unittest_import.proto'
package: 'protobuf_unittest_import'
dependency: 'google/protobuf/unittest_import_public.proto'
message_type: <
name: 'ImportMessage'
field: <
name: 'd'
number: 1
label: 1 # Optional
type: 5 # TYPE_INT32
>
>
""" +
"""enum_type: <
name: 'ImportEnum'
value: <
name: 'IMPORT_FOO'
number: 7
>
value: <
name: 'IMPORT_BAR'
number: 8
>
value: <
name: 'IMPORT_BAZ'
number: 9
>
>
options: <
java_package: 'com.google.protobuf.test'
optimize_for: 1 # SPEED
>
public_dependency: 0
""")
self._InternalTestCopyToProto(
unittest_import_pb2.DESCRIPTOR,
descriptor_pb2.FileDescriptorProto,
UNITTEST_IMPORT_FILE_DESCRIPTOR_ASCII)
def testCopyToProto_ServiceDescriptor(self):
TEST_SERVICE_ASCII = """
name: 'TestService'
method: <
name: 'Foo'
input_type: '.protobuf_unittest.FooRequest'
output_type: '.protobuf_unittest.FooResponse'
>
method: <
name: 'Bar'
input_type: '.protobuf_unittest.BarRequest'
output_type: '.protobuf_unittest.BarResponse'
>
"""
self._InternalTestCopyToProto(
unittest_pb2.TestService.DESCRIPTOR,
descriptor_pb2.ServiceDescriptorProto,
TEST_SERVICE_ASCII)
class MakeDescriptorTest(unittest.TestCase):
def testMakeDescriptorWithUnsignedIntField(self):
file_descriptor_proto = descriptor_pb2.FileDescriptorProto()
file_descriptor_proto.name = 'Foo'
message_type = file_descriptor_proto.message_type.add()
message_type.name = file_descriptor_proto.name
field = message_type.field.add()
field.number = 1
field.name = 'uint64_field'
field.label = descriptor.FieldDescriptor.LABEL_REQUIRED
field.type = descriptor.FieldDescriptor.TYPE_UINT64
result = descriptor.MakeDescriptor(message_type)
self.assertEqual(result.fields[0].cpp_type,
descriptor.FieldDescriptor.CPPTYPE_UINT64)
if __name__ == '__main__':
unittest.main()
|
bsd-3-clause
|
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] |
Pablo126/SSBW
|
Tarea4/tarea4/lib/python3.5/site-packages/django/template/smartif.py
|
63
|
6389
|
"""
Parser and utilities for the smart 'if' tag
"""
# Using a simple top down parser, as described here:
# http://effbot.org/zone/simple-top-down-parsing.htm.
# 'led' = left denotation
# 'nud' = null denotation
# 'bp' = binding power (left = lbp, right = rbp)
class TokenBase(object):
"""
Base class for operators and literals, mainly for debugging and for throwing
syntax errors.
"""
id = None # node/token type name
value = None # used by literals
first = second = None # used by tree nodes
def nud(self, parser):
# Null denotation - called in prefix context
raise parser.error_class(
"Not expecting '%s' in this position in if tag." % self.id
)
def led(self, left, parser):
# Left denotation - called in infix context
raise parser.error_class(
"Not expecting '%s' as infix operator in if tag." % self.id
)
def display(self):
"""
Returns what to display in error messages for this node
"""
return self.id
def __repr__(self):
out = [str(x) for x in [self.id, self.first, self.second] if x is not None]
return "(" + " ".join(out) + ")"
def infix(bp, func):
"""
Creates an infix operator, given a binding power and a function that
evaluates the node
"""
class Operator(TokenBase):
lbp = bp
def led(self, left, parser):
self.first = left
self.second = parser.expression(bp)
return self
def eval(self, context):
try:
return func(context, self.first, self.second)
except Exception:
# Templates shouldn't throw exceptions when rendering. We are
# most likely to get exceptions for things like {% if foo in bar
# %} where 'bar' does not support 'in', so default to False
return False
return Operator
def prefix(bp, func):
"""
Creates a prefix operator, given a binding power and a function that
evaluates the node.
"""
class Operator(TokenBase):
lbp = bp
def nud(self, parser):
self.first = parser.expression(bp)
self.second = None
return self
def eval(self, context):
try:
return func(context, self.first)
except Exception:
return False
return Operator
# Operator precedence follows Python.
# We defer variable evaluation to the lambda to ensure that terms are
# lazily evaluated using Python's boolean parsing logic.
OPERATORS = {
'or': infix(6, lambda context, x, y: x.eval(context) or y.eval(context)),
'and': infix(7, lambda context, x, y: x.eval(context) and y.eval(context)),
'not': prefix(8, lambda context, x: not x.eval(context)),
'in': infix(9, lambda context, x, y: x.eval(context) in y.eval(context)),
'not in': infix(9, lambda context, x, y: x.eval(context) not in y.eval(context)),
'is': infix(10, lambda context, x, y: x.eval(context) is y.eval(context)),
'is not': infix(10, lambda context, x, y: x.eval(context) is not y.eval(context)),
'==': infix(10, lambda context, x, y: x.eval(context) == y.eval(context)),
'!=': infix(10, lambda context, x, y: x.eval(context) != y.eval(context)),
'>': infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),
'>=': infix(10, lambda context, x, y: x.eval(context) >= y.eval(context)),
'<': infix(10, lambda context, x, y: x.eval(context) < y.eval(context)),
'<=': infix(10, lambda context, x, y: x.eval(context) <= y.eval(context)),
}
# Assign 'id' to each:
for key, op in OPERATORS.items():
op.id = key
class Literal(TokenBase):
"""
A basic self-resolvable object similar to a Django template variable.
"""
# IfParser uses Literal in create_var, but TemplateIfParser overrides
# create_var so that a proper implementation that actually resolves
# variables, filters etc. is used.
id = "literal"
lbp = 0
def __init__(self, value):
self.value = value
def display(self):
return repr(self.value)
def nud(self, parser):
return self
def eval(self, context):
return self.value
def __repr__(self):
return "(%s %r)" % (self.id, self.value)
class EndToken(TokenBase):
lbp = 0
def nud(self, parser):
raise parser.error_class("Unexpected end of expression in if tag.")
EndToken = EndToken()
class IfParser(object):
error_class = ValueError
def __init__(self, tokens):
# Turn 'is','not' and 'not','in' into single tokens.
l = len(tokens)
mapped_tokens = []
i = 0
while i < l:
token = tokens[i]
if token == "is" and i + 1 < l and tokens[i + 1] == "not":
token = "is not"
i += 1 # skip 'not'
elif token == "not" and i + 1 < l and tokens[i + 1] == "in":
token = "not in"
i += 1 # skip 'in'
mapped_tokens.append(self.translate_token(token))
i += 1
self.tokens = mapped_tokens
self.pos = 0
self.current_token = self.next_token()
def translate_token(self, token):
try:
op = OPERATORS[token]
except (KeyError, TypeError):
return self.create_var(token)
else:
return op()
def next_token(self):
if self.pos >= len(self.tokens):
return EndToken
else:
retval = self.tokens[self.pos]
self.pos += 1
return retval
def parse(self):
retval = self.expression()
# Check that we have exhausted all the tokens
if self.current_token is not EndToken:
raise self.error_class("Unused '%s' at end of if expression." %
self.current_token.display())
return retval
def expression(self, rbp=0):
t = self.current_token
self.current_token = self.next_token()
left = t.nud(self)
while rbp < self.current_token.lbp:
t = self.current_token
self.current_token = self.next_token()
left = t.led(left, self)
return left
def create_var(self, value):
return Literal(value)
|
gpl-3.0
|
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vganapath/rally
|
rally/common/fileutils.py
|
18
|
3855
|
# Copyright 2013: Mirantis Inc.
# All Rights Reserved.
#
# 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 os
import tempfile
import zipfile
def _read_env_file(path, except_env=None):
"""Read the environment variable file.
:param path: the path of the file
:param except_env: the environment variable to avoid in the output
:returns: the content of the original file except the line starting with
the except_env parameter
"""
output = []
if os.path.exists(path):
with open(path, "r") as env_file:
content = env_file.readlines()
for line in content:
if except_env is None or not line.startswith("%s=" %
except_env):
output.append(line)
return output
def load_env_file(path):
"""Load the environment variable file into os.environ.
:param path: the path of the file
"""
if os.path.exists(path):
content = _read_env_file(path)
for line in content:
(key, sep, value) = line.partition("=")
os.environ[key] = value.rstrip()
def _rewrite_env_file(path, initial_content):
"""Rewrite the environment variable file.
:param path: the path of the file
:param initial_content: the original content of the file
"""
with open(path, "w+") as env_file:
for line in initial_content:
env_file.write(line)
def update_env_file(path, env_key, env_value):
"""Update the environment variable file.
:param path: the path of the file
:param env_key: the key to update
:param env_value: the value of the property to update
"""
output = _read_env_file(path, env_key)
output.append("%s=%s" % (env_key, env_value))
_rewrite_env_file(path, output)
def update_globals_file(key, value):
"""Update the globals variables file.
:param key: the key to update
:param value: the value to update
"""
dir = os.path.expanduser("~/.rally/")
if not os.path.exists(dir):
os.makedirs(dir)
expanded_path = os.path.join(dir, "globals")
update_env_file(expanded_path, key, "%s\n" % value)
def pack_dir(source_directory, zip_name=None):
"""Archive content of the directory into .zip
Zip content of the source folder excluding root directory
into zip archive. When zip_name is specified it would be used
as a destination for the archive otherwise method would
try to use temporary file as a destination for the archive.
:param source_directory: root of the newly created archive.
Directory is added recursively.
:param zip_name: destination zip file name.
:raises IOError: whenever there is IO issues.
:returns: path to the newly created zip archive either specified via
zip_name or a temporary one.
"""
if not zip_name:
fp = tempfile.NamedTemporaryFile(delete=False)
zip_name = fp.name
zipf = zipfile.ZipFile(zip_name, mode="w")
try:
for root, dirs, files in os.walk(source_directory):
for f in files:
abspath = os.path.join(root, f)
relpath = os.path.relpath(abspath, source_directory)
zipf.write(abspath, relpath)
finally:
zipf.close()
return zip_name
|
apache-2.0
|
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