blob_id
stringlengths 40
40
| directory_id
stringlengths 40
40
| path
stringlengths 3
616
| content_id
stringlengths 40
40
| detected_licenses
listlengths 0
112
| license_type
stringclasses 2
values | repo_name
stringlengths 5
115
| snapshot_id
stringlengths 40
40
| revision_id
stringlengths 40
40
| branch_name
stringclasses 777
values | visit_date
timestamp[us]date 2015-08-06 10:31:46
2023-09-06 10:44:38
| revision_date
timestamp[us]date 1970-01-01 02:38:32
2037-05-03 13:00:00
| committer_date
timestamp[us]date 1970-01-01 02:38:32
2023-09-06 01:08:06
| github_id
int64 4.92k
681M
⌀ | star_events_count
int64 0
209k
| fork_events_count
int64 0
110k
| gha_license_id
stringclasses 22
values | gha_event_created_at
timestamp[us]date 2012-06-04 01:52:49
2023-09-14 21:59:50
⌀ | gha_created_at
timestamp[us]date 2008-05-22 07:58:19
2023-08-21 12:35:19
⌀ | gha_language
stringclasses 149
values | src_encoding
stringclasses 26
values | language
stringclasses 1
value | is_vendor
bool 2
classes | is_generated
bool 2
classes | length_bytes
int64 3
10.2M
| extension
stringclasses 188
values | content
stringlengths 3
10.2M
| authors
listlengths 1
1
| author_id
stringlengths 1
132
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
125f3eca8985b6337481c57ecb01d50d4d12cd2f | 2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae | /python/python_25145.py | cc20ebccbcceb580e0202cead14e2afc85781e87 | []
| no_license | AK-1121/code_extraction | cc812b6832b112e3ffcc2bb7eb4237fd85c88c01 | 5297a4a3aab3bb37efa24a89636935da04a1f8b6 | refs/heads/master | 2020-05-23T08:04:11.789141 | 2015-10-22T19:19:40 | 2015-10-22T19:19:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 59 | py | # How to find / import the win32security in python?
import
| [
"[email protected]"
]
| |
6d3560c2179b9703d5955c377a9989b5a7a236c0 | 34d88082307281333ef4aeeec012a3ff5f8ec06e | /w3resource/basic/Q098.py | c3ed4f05918371d4d44df3cbbb34edc91b0fb439 | []
| no_license | JKChang2015/Python | a6f8b56fa3f9943682470ae57e5ad3266feb47a7 | adf3173263418aee5d32f96b9ea3bf416c43cc7b | refs/heads/master | 2022-12-12T12:24:48.682712 | 2021-07-30T22:27:41 | 2021-07-30T22:27:41 | 80,747,432 | 1 | 8 | null | 2022-12-08T04:32:06 | 2017-02-02T17:05:19 | HTML | UTF-8 | Python | false | false | 148 | py | # -*- coding: UTF-8 -*-
# Q098
# Created by JKChang
# Wed, 31/05/2017, 15:34
# Tag:
# Description: Write a Python program to get the system time.
| [
"[email protected]"
]
| |
31ee5c556c25850ddd15704dede4c1ff0190e717 | 83e2824b060cea6290563a63dfc5a2caaddccc32 | /problem019.py | 3ab4e40b4de9a056bbdaac0afe9cb807e5089a42 | []
| no_license | 1tux/project_euler | b8f731155eb59c5cdb92efe68f0140695c5b6353 | 9a6c04d08a77d6e80eb15d203c8003870645415a | refs/heads/master | 2021-01-09T20:17:35.502613 | 2016-10-03T16:19:50 | 2016-10-03T16:19:50 | 61,938,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 137 | py | import datetime
c = 0
for x in xrange(1901, 2001):
for y in xrange(1, 13):
if datetime.date(x, y, 1).weekday() == 1:
c+=1
print c | [
"root"
]
| root |
f040059ed129aa620990f466c803b2a2a026b103 | 00a3f91db1e0bd349a0a120d8980429363446d67 | /api/migrations/0004_merge_20180805_1637.py | a0c874598dea406d580c4e4f2a4cf32728b0e65b | []
| no_license | junkluis/cenecu_web | 59130894d0584479b352fcd7a119aa2c6185a5e5 | 078b59308a93e40514b63c130c4506f98f929be4 | refs/heads/master | 2020-03-25T09:08:02.327198 | 2018-08-05T21:42:21 | 2018-08-05T21:42:21 | 143,649,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 330 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2018-08-05 21:37
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20180730_0141'),
('api', '0003_auto_20180729_2237'),
]
operations = [
]
| [
"[email protected]"
]
| |
d51f21fe04ab46c872361e77f688ddde25e6690d | 1ba68429cd4a1654a66dd7b0a7b8e91f81798073 | /cart/admin.py | 25928702bc82acc30d13248cd482e57f5dc03454 | []
| no_license | crowdbotics-apps/test-002-31939 | 097234cc8a8870e39ece59640ad66a14c641b708 | d669523f2ed3681d487d4a1a65645a642c6413c1 | refs/heads/master | 2023-08-29T21:34:54.106718 | 2021-11-12T17:25:07 | 2021-11-12T17:25:07 | 427,392,814 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 159 | py | from django.contrib import admin
from .models import Content, Product
admin.site.register(Product)
admin.site.register(Content)
# Register your models here.
| [
"[email protected]"
]
| |
fb47a23ad30dfd0ef95a58c450969c5796386e1e | d83f50302702d6bf46c266b8117514c6d2e5d863 | /wiggle-sort-ii.py | 4e805ab4c2cb628a233a145c8732759446925784 | []
| no_license | sfdye/leetcode | 19764a6bdb82de114a2c82986864b1b2210c6d90 | afc686acdda4168f4384e13fb730e17f4bdcd553 | refs/heads/master | 2020-03-20T07:58:52.128062 | 2019-05-05T08:10:41 | 2019-05-05T08:10:41 | 137,295,892 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 285 | py | class Solution:
def wiggleSort(self, nums):
"""
:type nums: List[int]
:rtype: void Do not return anything, modify nums in-place instead.
"""
for i, num in enumerate(sorted(nums)[::-1]):
nums[(i * 2 + 1) % (len(nums) | 1)] = num
| [
"[email protected]"
]
| |
467a8932a4284ef0c6c865d87ef12e88ea571f4a | 3e63608e1cad90bc845c4580723e57ae7ca3f61d | /tests/integration/cartography/intel/github/test_repos.py | e15966d14e0a223c390827fa7a4e0532c091831d | [
"Apache-2.0",
"LicenseRef-scancode-generic-cla"
]
| permissive | lyft/cartography | 06dcbf13907cbb9a31b75cd8b21f5721f7cc1b01 | 830b8944879a01f52b21ee12b6fddf245f9733cb | refs/heads/master | 2023-08-31T12:27:59.752452 | 2023-08-28T20:42:12 | 2023-08-28T20:42:12 | 172,811,550 | 2,778 | 334 | Apache-2.0 | 2023-09-13T04:59:46 | 2019-02-27T00:16:29 | Python | UTF-8 | Python | false | false | 8,701 | py | import cartography.intel.github
import tests.data.github.repos
TEST_UPDATE_TAG = 123456789
TEST_JOB_PARAMS = {'UPDATE_TAG': TEST_UPDATE_TAG}
TEST_GITHUB_URL = "https://fake.github.net/graphql/"
def _ensure_local_neo4j_has_test_data(neo4j_session):
repo_data = cartography.intel.github.repos.transform(tests.data.github.repos.GET_REPOS)
cartography.intel.github.repos.load(
neo4j_session,
TEST_JOB_PARAMS,
repo_data,
)
def test_transform_and_load_repositories(neo4j_session):
"""
Test that we can correctly transform and load GitHubRepository nodes to Neo4j.
"""
repositories_res = tests.data.github.repos.GET_REPOS
repos_data = cartography.intel.github.repos.transform(repositories_res)
cartography.intel.github.repos.load_github_repos(
neo4j_session,
TEST_UPDATE_TAG,
repos_data['repos'],
)
nodes = neo4j_session.run(
"MATCH(repo:GitHubRepository) RETURN repo.id",
)
actual_nodes = {n['repo.id'] for n in nodes}
expected_nodes = {
"https://github.com/example_org/sample_repo",
"https://github.com/example_org/SampleRepo2",
"https://github.com/lyft/cartography",
}
assert actual_nodes == expected_nodes
def test_transform_and_load_repository_owners(neo4j_session):
"""
Ensure we can transform and load GitHub repository owner nodes.
"""
repositories_res = tests.data.github.repos.GET_REPOS
repos_data = cartography.intel.github.repos.transform(repositories_res)
cartography.intel.github.repos.load_github_owners(
neo4j_session,
TEST_UPDATE_TAG,
repos_data['repo_owners'],
)
nodes = neo4j_session.run(
"MATCH(owner:GitHubOrganization) RETURN owner.id",
)
actual_nodes = {n['owner.id'] for n in nodes}
expected_nodes = {
'https://github.com/example_org',
}
assert actual_nodes == expected_nodes
def test_transform_and_load_repository_languages(neo4j_session):
"""
Ensure we can transform and load GitHub repository languages nodes.
"""
repositories_res = tests.data.github.repos.GET_REPOS
repos_data = cartography.intel.github.repos.transform(repositories_res)
cartography.intel.github.repos.load_github_languages(
neo4j_session,
TEST_UPDATE_TAG,
repos_data['repo_languages'],
)
nodes = neo4j_session.run(
"MATCH(pl:ProgrammingLanguage) RETURN pl.id",
)
actual_nodes = {n['pl.id'] for n in nodes}
expected_nodes = {
'Python', 'Makefile',
}
assert actual_nodes == expected_nodes
def test_repository_to_owners(neo4j_session):
"""
Ensure that repositories are connected to owners.
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
query = """
MATCH(owner:GitHubOrganization)<-[:OWNER]-(repo:GitHubRepository{id:$RepositoryId})
RETURN owner.username, repo.id, repo.name
"""
expected_repository_id = 'https://github.com/example_org/SampleRepo2'
nodes = neo4j_session.run(
query,
RepositoryId=expected_repository_id,
)
actual_nodes = {
(
n['owner.username'],
n['repo.id'],
n['repo.name'],
) for n in nodes
}
expected_nodes = {
(
'example_org',
'https://github.com/example_org/SampleRepo2',
'SampleRepo2',
),
}
assert actual_nodes == expected_nodes
def test_repository_to_branches(neo4j_session):
"""
Ensure that repositories are connected to branches.
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
query = """
MATCH(branch:GitHubBranch)<-[:BRANCH]-(repo:GitHubRepository{id:$RepositoryId})
RETURN branch.name, repo.id, repo.name
"""
expected_repository_id = 'https://github.com/example_org/sample_repo'
nodes = neo4j_session.run(
query,
RepositoryId=expected_repository_id,
)
actual_nodes = {
(
n['branch.name'],
n['repo.id'],
n['repo.name'],
) for n in nodes
}
expected_nodes = {
(
'master',
'https://github.com/example_org/sample_repo',
'sample_repo',
),
}
assert actual_nodes == expected_nodes
def test_repository_to_languages(neo4j_session):
"""
Ensure that repositories are connected to languages.
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
query = """
MATCH(lang:ProgrammingLanguage)<-[:LANGUAGE]-(repo:GitHubRepository{id:$RepositoryId})
RETURN lang.name, repo.id, repo.name
"""
expected_repository_id = 'https://github.com/example_org/SampleRepo2'
nodes = neo4j_session.run(
query,
RepositoryId=expected_repository_id,
)
actual_nodes = {
(
n['lang.name'],
n['repo.id'],
n['repo.name'],
) for n in nodes
}
expected_nodes = {
(
'Python',
'https://github.com/example_org/SampleRepo2',
'SampleRepo2',
),
}
assert actual_nodes == expected_nodes
def test_repository_to_collaborators(neo4j_session):
_ensure_local_neo4j_has_test_data(neo4j_session)
nodes = neo4j_session.run("""
MATCH (repo:GitHubRepository{name:"cartography"})<-[:OUTSIDE_COLLAB_WRITE]-(user:GitHubUser)
RETURN count(user.username) as collab_count
""")
actual_nodes = {n['collab_count'] for n in nodes}
expected_nodes = {5}
assert actual_nodes == expected_nodes
def test_pinned_python_library_to_repo(neo4j_session):
"""
Ensure that repositories are connected to pinned Python libraries stated as dependencies in requirements.txt.
Create the path (:RepoA)-[:REQUIRES{specifier:"0.1.0"}]->(:PythonLibrary{'Cartography'})<-[:REQUIRES]-(:RepoB),
and verify that exactly 1 repo is connected to the PythonLibrary with a specifier (RepoA).
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
# Note: don't query for relationship attributes in code that needs to be fast.
query = """
MATCH (repo:GitHubRepository)-[r:REQUIRES]->(lib:PythonLibrary{id:'cartography|0.1.0'})
WHERE lib.version = "0.1.0"
RETURN count(repo) as repo_count
"""
nodes = neo4j_session.run(query)
actual_nodes = {n['repo_count'] for n in nodes}
expected_nodes = {1}
assert actual_nodes == expected_nodes
def test_upinned_python_library_to_repo(neo4j_session):
"""
Ensure that repositories are connected to un-pinned Python libraries stated as dependencies in requirements.txt.
That is, create the path
(:RepoA)-[r:REQUIRES{specifier:"0.1.0"}]->(:PythonLibrary{'Cartography'})<-[:REQUIRES]-(:RepoB),
and verify that exactly 1 repo is connected to the PythonLibrary without using a pinned specifier (RepoB).
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
# Note: don't query for relationship attributes in code that needs to be fast.
query = """
MATCH (repo:GitHubRepository)-[r:REQUIRES]->(lib:PythonLibrary{id:'cartography'})
WHERE r.specifier is NULL
RETURN count(repo) as repo_count
"""
nodes = neo4j_session.run(query)
actual_nodes = {n['repo_count'] for n in nodes}
expected_nodes = {1}
assert actual_nodes == expected_nodes
def test_setup_cfg_library_to_repo(neo4j_session):
"""
Ensure that repositories are connected to Python libraries stated as dependencies in setup.cfg.
and verify that exactly 2 repos are connected to the PythonLibrary.
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
# Note: don't query for relationship attributes in code that needs to be fast.
query = """
MATCH (repo:GitHubRepository)-[r:REQUIRES]->(lib:PythonLibrary{id:'neo4j'})
RETURN count(repo) as repo_count
"""
nodes = neo4j_session.run(query)
actual_nodes = {n['repo_count'] for n in nodes}
expected_nodes = {2}
assert actual_nodes == expected_nodes
def test_python_library_in_multiple_requirements_files(neo4j_session):
"""
Ensure that repositories are connected to Python libraries stated as dependencies in
both setup.cfg and requirements.txt. Ensures that if the dependency has different
specifiers in each file, a separate node is created for each.
"""
_ensure_local_neo4j_has_test_data(neo4j_session)
query = """
MATCH (repo:GitHubRepository)-[r:REQUIRES]->(lib:PythonLibrary{name:'okta'})
RETURN lib.id as lib_ids
"""
nodes = neo4j_session.run(query)
node_ids = {n['lib_ids'] for n in nodes}
assert len(node_ids) == 2
assert node_ids == {'okta', 'okta|0.9.0'}
| [
"[email protected]"
]
| |
fdc19d0a4f81488f5c242f4dfcda161c70c25497 | a8d3471d8d2fa914a0f8bab0495b115e70538430 | /handler.py | 86e8d3670ac9432144feb56e01bd3d420ea7f28b | []
| no_license | davidbegin/morguebot | a03bbfa46cbfd6b916ace98a2f476e44d4843349 | f62d75917d13b4a443c0f3c8e00f7dd82720d9f3 | refs/heads/master | 2022-12-22T14:52:20.398139 | 2020-01-17T15:56:04 | 2020-01-17T15:56:04 | 213,519,437 | 8 | 0 | null | 2022-12-08T06:49:48 | 2019-10-08T01:16:15 | Python | UTF-8 | Python | false | false | 529 | py | import json
import os
from glm.generic_lambda_handler import lambda_handler as generic_lambda_handler
from flask_app import app
import xl_bot
import dungeon_gossiper
def async_handler(messages, context):
print(messages)
def lambda_handler(event, context):
result = generic_lambda_handler(
event=event, context=context, flask_app=app, async_handler=async_handler
)
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
print(f"{result}")
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
return result
| [
"[email protected]"
]
| |
4ca726894e8a47f19d38fc009e00fb4aaa6896df | bf4be1f469b049dccf41807514a168400e48cdd1 | /Related Topics/Bit Manipulation/201. Bitwise AND of Numbers Range.py | c38348cbfcb27e1311a88564532ee0347c21b603 | []
| no_license | billgoo/LeetCode_Solution | 8bde6844ecc44c61a914f9c88030d8d3e724c947 | 360d144cee86aae877b6187a07f1957e673c3592 | refs/heads/master | 2022-04-26T16:10:00.380910 | 2022-04-20T04:54:06 | 2022-04-20T04:54:06 | 155,243,219 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 436 | py | class Solution:
def rangeBitwiseAnd(self, m: int, n: int) -> int:
# bits shift
"""
e = 0
while m != n:
m >>= 1
n >>= 1
e += 1
return m << e
"""
# Brian Kernighan's Algorithm
# n & (n - 1) will remove the right most bits: 1100 & 1011 = 1000
while m < n:
n &= (n - 1)
return m & n | [
"[email protected]"
]
| |
073c3efb2dc0e05f5668c065c6a14749d6d65f4c | 0e25dc15ae9efce8bfd716d4d2041da07767968b | /qbench/benchmarks/RevLib/OPENQL_converted/cycle10_2_110.py | 38015650e921d4e45307087e364e05df9a9bb531 | []
| no_license | alxhotel/crossbar-bench | f608fc0062b4f8a5162ec33d61c0204aaf27b6ff | 3bf7536e7697d29c3089b0ba564ba22d39698b88 | refs/heads/master | 2021-07-13T16:06:50.085838 | 2020-10-04T23:39:05 | 2020-10-04T23:39:05 | 213,409,122 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 143,382 | py | from openql import openql as ql
import os
import argparse
def circuit(config_file, new_scheduler='yes', scheduler='ASAP', uniform_sched= 'no', sched_commute = 'yes', mapper='base', moves='no', maptiebreak='random', initial_placement='no', output_dir_name='test_output', optimize='no', measurement=True, log_level='LOG_WARNING'):
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, output_dir_name)
ql.set_option('output_dir', output_dir)
ql.set_option('optimize', optimize)
ql.set_option('scheduler', scheduler)
ql.set_option('scheduler_uniform', uniform_sched)
ql.set_option('mapper', mapper)
ql.set_option('initialplace', initial_placement)
ql.set_option('log_level', log_level)
ql.set_option('scheduler_post179', new_scheduler)
ql.set_option('scheduler_commute', sched_commute)
ql.set_option('mapusemoves', moves)
ql.set_option('maptiebreak', maptiebreak)
config_fn = os.path.join(curdir, config_file)
# platform = ql.Platform('platform_none', config_fn)
platform = ql.Platform('starmon', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 12
p = ql.Program('cycle10_2_110', platform, num_qubits)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('cycle10_2_110', platform, num_qubits)
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[9])
k.gate('cnot',[10,0])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[9])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('cnot',[10,0])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[2])
k.gate('cnot',[6,5])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[2])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('cnot',[6,5])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[9])
k.gate('cnot',[10,0])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[9])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('cnot',[10,0])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[2])
k.gate('cnot',[6,5])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[2])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('cnot',[6,5])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[9])
k.gate('cnot',[10,0])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[9])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('cnot',[10,0])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[2])
k.gate('cnot',[6,5])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[2])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('cnot',[6,5])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[9])
k.gate('cnot',[10,0])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[9])
k.gate('cnot',[9,10])
k.gate('cnot',[0,9])
k.gate('cnot',[10,0])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[2])
k.gate('cnot',[6,5])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[2])
k.gate('cnot',[2,6])
k.gate('cnot',[5,2])
k.gate('cnot',[6,5])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('tdag',[3])
k.gate('cnot',[8,3])
k.gate('tdag',[8])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[10])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('h',[10])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[8])
k.gate('cnot',[10,0])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[8])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('cnot',[10,0])
k.gate('h',[8])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[4])
k.gate('cnot',[6,5])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[4])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('cnot',[6,5])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[8])
k.gate('cnot',[10,0])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[8])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('cnot',[10,0])
k.gate('h',[8])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[4])
k.gate('cnot',[6,5])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[4])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('cnot',[6,5])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[4])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,4])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('tdag',[11])
k.gate('cnot',[4,11])
k.gate('tdag',[4])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[4,0])
k.gate('cnot',[11,4])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('tdag',[10])
k.gate('cnot',[3,10])
k.gate('tdag',[3])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[8])
k.gate('cnot',[10,0])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[8])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('cnot',[10,0])
k.gate('h',[8])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[4])
k.gate('cnot',[6,5])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[4])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('cnot',[6,5])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[8])
k.gate('cnot',[10,0])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[8])
k.gate('cnot',[8,10])
k.gate('cnot',[0,8])
k.gate('cnot',[10,0])
k.gate('h',[8])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[4])
k.gate('cnot',[6,5])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[4])
k.gate('cnot',[4,6])
k.gate('cnot',[5,4])
k.gate('cnot',[6,5])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[7])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,7])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('tdag',[4])
k.gate('cnot',[7,4])
k.gate('tdag',[7])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[7,9])
k.gate('cnot',[4,7])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[0])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,3])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('cnot',[11,3])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[11])
k.gate('cnot',[2,1])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[11])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('cnot',[2,1])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,3])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('cnot',[11,3])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[11])
k.gate('cnot',[2,1])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[11])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('cnot',[2,1])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[7])
k.gate('cnot',[10,0])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[7])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('cnot',[10,0])
k.gate('h',[7])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[8])
k.gate('cnot',[5,4])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[8])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('cnot',[5,4])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[7])
k.gate('cnot',[10,0])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[7])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('cnot',[10,0])
k.gate('h',[7])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[8])
k.gate('cnot',[5,4])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[8])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('cnot',[5,4])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[0])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,3])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('cnot',[11,3])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[11])
k.gate('cnot',[2,1])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[11])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('cnot',[2,1])
k.gate('h',[11])
k.gate('h',[0])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[0])
k.gate('cnot',[11,3])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[0])
k.gate('cnot',[0,11])
k.gate('cnot',[3,0])
k.gate('cnot',[11,3])
k.gate('h',[0])
k.gate('h',[11])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[11])
k.gate('cnot',[2,1])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[11])
k.gate('cnot',[11,2])
k.gate('cnot',[1,11])
k.gate('cnot',[2,1])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[7])
k.gate('cnot',[10,0])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[7])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('cnot',[10,0])
k.gate('h',[7])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[8])
k.gate('cnot',[5,4])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[8])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('cnot',[5,4])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[7])
k.gate('cnot',[10,0])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[7])
k.gate('cnot',[7,10])
k.gate('cnot',[0,7])
k.gate('cnot',[10,0])
k.gate('h',[7])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[8])
k.gate('cnot',[5,4])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[8])
k.gate('cnot',[8,5])
k.gate('cnot',[4,8])
k.gate('cnot',[5,4])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,6])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('tdag',[8])
k.gate('cnot',[6,8])
k.gate('tdag',[6])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[6,9])
k.gate('cnot',[8,6])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[11])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,11])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('tdag',[9])
k.gate('cnot',[11,9])
k.gate('tdag',[11])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[11,10])
k.gate('cnot',[9,11])
k.gate('h',[10])
k.gate('h',[6])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[6])
k.gate('cnot',[10,11])
k.gate('cnot',[6,10])
k.gate('cnot',[11,6])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[6])
k.gate('cnot',[6,10])
k.gate('cnot',[11,6])
k.gate('cnot',[10,11])
k.gate('h',[6])
k.gate('h',[10])
k.gate('t',[5])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,5])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('tdag',[9])
k.gate('cnot',[5,9])
k.gate('tdag',[5])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('cnot',[9,5])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[4])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,4])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('tdag',[8])
k.gate('cnot',[4,8])
k.gate('tdag',[4])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('cnot',[8,4])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,3])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('tdag',[7])
k.gate('cnot',[3,7])
k.gate('tdag',[3])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('cnot',[7,3])
k.gate('h',[8])
k.gate('h',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[7])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('h',[7])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,3])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('tdag',[7])
k.gate('cnot',[3,7])
k.gate('tdag',[3])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('cnot',[7,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[4])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,4])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('tdag',[8])
k.gate('cnot',[4,8])
k.gate('tdag',[4])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('cnot',[8,4])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[5])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,5])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('tdag',[9])
k.gate('cnot',[5,9])
k.gate('tdag',[5])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('cnot',[9,5])
k.gate('h',[10])
k.gate('h',[6])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[6])
k.gate('cnot',[10,11])
k.gate('cnot',[6,10])
k.gate('cnot',[11,6])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[6])
k.gate('cnot',[6,10])
k.gate('cnot',[11,6])
k.gate('cnot',[10,11])
k.gate('h',[6])
k.gate('h',[10])
k.gate('t',[5])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,5])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('tdag',[9])
k.gate('cnot',[5,9])
k.gate('tdag',[5])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('cnot',[9,5])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[4])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,4])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('tdag',[8])
k.gate('cnot',[4,8])
k.gate('tdag',[4])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('cnot',[8,4])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,3])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('tdag',[7])
k.gate('cnot',[3,7])
k.gate('tdag',[3])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('cnot',[7,3])
k.gate('h',[8])
k.gate('h',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[7])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('h',[7])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,3])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('tdag',[7])
k.gate('cnot',[3,7])
k.gate('tdag',[3])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[3,8])
k.gate('cnot',[7,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[4])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,4])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('tdag',[8])
k.gate('cnot',[4,8])
k.gate('tdag',[4])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[4,9])
k.gate('cnot',[8,4])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[5])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,5])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('tdag',[9])
k.gate('cnot',[5,9])
k.gate('tdag',[5])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[5,10])
k.gate('cnot',[9,5])
k.gate('h',[10])
k.gate('h',[5])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[5])
k.gate('cnot',[10,11])
k.gate('cnot',[5,10])
k.gate('cnot',[11,5])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[5])
k.gate('cnot',[5,10])
k.gate('cnot',[11,5])
k.gate('cnot',[10,11])
k.gate('h',[5])
k.gate('h',[10])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,4])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('cnot',[9,4])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[8])
k.gate('cnot',[2,1])
k.gate('cnot',[8,2])
k.gate('cnot',[1,8])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[8])
k.gate('cnot',[8,2])
k.gate('cnot',[1,8])
k.gate('cnot',[2,1])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,4])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('cnot',[9,4])
k.gate('h',[10])
k.gate('h',[5])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[5])
k.gate('cnot',[10,11])
k.gate('cnot',[5,10])
k.gate('cnot',[11,5])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[5])
k.gate('cnot',[5,10])
k.gate('cnot',[11,5])
k.gate('cnot',[10,11])
k.gate('h',[5])
k.gate('h',[10])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,4])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('cnot',[9,4])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[8])
k.gate('cnot',[2,1])
k.gate('cnot',[8,2])
k.gate('cnot',[1,8])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[8])
k.gate('cnot',[8,2])
k.gate('cnot',[1,8])
k.gate('cnot',[2,1])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,4])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[4,10])
k.gate('cnot',[9,4])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[4])
k.gate('cnot',[10,11])
k.gate('cnot',[4,10])
k.gate('cnot',[11,4])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[4])
k.gate('cnot',[4,10])
k.gate('cnot',[11,4])
k.gate('cnot',[10,11])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[9])
k.gate('cnot',[2,1])
k.gate('cnot',[9,2])
k.gate('cnot',[1,9])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[9])
k.gate('cnot',[9,2])
k.gate('cnot',[1,9])
k.gate('cnot',[2,1])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[4])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[4])
k.gate('cnot',[10,11])
k.gate('cnot',[4,10])
k.gate('cnot',[11,4])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[4])
k.gate('cnot',[4,10])
k.gate('cnot',[11,4])
k.gate('cnot',[10,11])
k.gate('h',[4])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[9])
k.gate('cnot',[2,1])
k.gate('cnot',[9,2])
k.gate('cnot',[1,9])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[9])
k.gate('cnot',[9,2])
k.gate('cnot',[1,9])
k.gate('cnot',[2,1])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[3])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[3])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('h',[3])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[3])
k.gate('t',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('tdag',[10])
k.gate('cnot',[11,10])
k.gate('tdag',[11])
k.gate('tdag',[10])
k.gate('t',[3])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('h',[3])
k.gate('h',[10])
k.gate('t',[1])
k.gate('t',[2])
k.gate('t',[10])
k.gate('cnot',[2,1])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('tdag',[2])
k.gate('cnot',[1,2])
k.gate('tdag',[1])
k.gate('tdag',[2])
k.gate('t',[10])
k.gate('cnot',[10,2])
k.gate('cnot',[1,10])
k.gate('cnot',[2,1])
k.gate('h',[10])
k.gate('h',[2])
k.gate('t',[1])
k.gate('t',[11])
k.gate('t',[2])
k.gate('cnot',[11,1])
k.gate('cnot',[2,11])
k.gate('cnot',[1,2])
k.gate('tdag',[11])
k.gate('cnot',[1,11])
k.gate('tdag',[1])
k.gate('tdag',[11])
k.gate('t',[2])
k.gate('cnot',[2,11])
k.gate('cnot',[1,2])
k.gate('cnot',[11,1])
k.gate('h',[2])
k.gate('cnot',[11,1])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('tdag',[10])
k.gate('cnot',[4,10])
k.gate('tdag',[4])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('tdag',[10])
k.gate('cnot',[4,10])
k.gate('tdag',[4])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[1])
k.gate('cnot',[6,5])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[1])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('cnot',[6,5])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[1])
k.gate('cnot',[6,5])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[1])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('cnot',[6,5])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('tdag',[10])
k.gate('cnot',[4,10])
k.gate('tdag',[4])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('tdag',[10])
k.gate('cnot',[4,10])
k.gate('tdag',[4])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[10])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[10])
k.gate('cnot',[9,3])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[10])
k.gate('cnot',[10,9])
k.gate('cnot',[3,10])
k.gate('cnot',[9,3])
k.gate('h',[10])
k.gate('h',[9])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[1])
k.gate('cnot',[6,5])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[1])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('cnot',[6,5])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('tdag',[4])
k.gate('cnot',[11,4])
k.gate('tdag',[11])
k.gate('tdag',[4])
k.gate('t',[9])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('h',[9])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[5])
k.gate('t',[6])
k.gate('t',[1])
k.gate('cnot',[6,5])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('tdag',[6])
k.gate('cnot',[5,6])
k.gate('tdag',[5])
k.gate('tdag',[6])
k.gate('t',[1])
k.gate('cnot',[1,6])
k.gate('cnot',[5,1])
k.gate('cnot',[6,5])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[7])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,7])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('tdag',[1])
k.gate('cnot',[7,1])
k.gate('tdag',[7])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[7,2])
k.gate('cnot',[1,7])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[8])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,8])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('tdag',[2])
k.gate('cnot',[8,2])
k.gate('tdag',[8])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[8,3])
k.gate('cnot',[2,8])
k.gate('h',[3])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[4])
k.gate('cnot',[3,10])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[4])
k.gate('cnot',[4,3])
k.gate('cnot',[10,4])
k.gate('cnot',[3,10])
k.gate('h',[4])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[9])
k.gate('cnot',[11,3])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[9])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('cnot',[11,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[9])
k.gate('cnot',[11,3])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[9])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('cnot',[11,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[9])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,9])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('tdag',[11])
k.gate('cnot',[9,11])
k.gate('tdag',[9])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('cnot',[11,9])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[1])
k.gate('cnot',[5,4])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[1])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('cnot',[5,4])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[9])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,9])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('tdag',[11])
k.gate('cnot',[9,11])
k.gate('tdag',[9])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('cnot',[11,9])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[1])
k.gate('cnot',[5,4])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[1])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('cnot',[5,4])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[9])
k.gate('cnot',[11,3])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[9])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('cnot',[11,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[9])
k.gate('cnot',[11,3])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[9])
k.gate('cnot',[9,11])
k.gate('cnot',[3,9])
k.gate('cnot',[11,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[9])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,9])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('tdag',[11])
k.gate('cnot',[9,11])
k.gate('tdag',[9])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('cnot',[11,9])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[1])
k.gate('cnot',[5,4])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[1])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('cnot',[5,4])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[9])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,9])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('tdag',[11])
k.gate('cnot',[9,11])
k.gate('tdag',[9])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[9,8])
k.gate('cnot',[11,9])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[1])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[1])
k.gate('cnot',[5,4])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[1])
k.gate('cnot',[1,5])
k.gate('cnot',[4,1])
k.gate('cnot',[5,4])
k.gate('h',[1])
k.gate('h',[2])
k.gate('t',[6])
k.gate('t',[1])
k.gate('t',[2])
k.gate('cnot',[1,6])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('tdag',[1])
k.gate('cnot',[6,1])
k.gate('tdag',[6])
k.gate('tdag',[1])
k.gate('t',[2])
k.gate('cnot',[2,1])
k.gate('cnot',[6,2])
k.gate('cnot',[1,6])
k.gate('h',[2])
k.gate('h',[3])
k.gate('t',[7])
k.gate('t',[2])
k.gate('t',[3])
k.gate('cnot',[2,7])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('tdag',[2])
k.gate('cnot',[7,2])
k.gate('tdag',[7])
k.gate('tdag',[2])
k.gate('t',[3])
k.gate('cnot',[3,2])
k.gate('cnot',[7,3])
k.gate('cnot',[2,7])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[3])
k.gate('t',[11])
k.gate('cnot',[3,10])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('tdag',[3])
k.gate('cnot',[10,3])
k.gate('tdag',[10])
k.gate('tdag',[3])
k.gate('t',[11])
k.gate('cnot',[11,3])
k.gate('cnot',[10,11])
k.gate('cnot',[3,10])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,3])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('cnot',[11,3])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,3])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('cnot',[11,3])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[8])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,8])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('tdag',[11])
k.gate('cnot',[8,11])
k.gate('tdag',[8])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('cnot',[11,8])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[3])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[3])
k.gate('cnot',[5,4])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[3])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('cnot',[5,4])
k.gate('h',[3])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[8])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,8])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('tdag',[11])
k.gate('cnot',[8,11])
k.gate('tdag',[8])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('cnot',[11,8])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[3])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[3])
k.gate('cnot',[5,4])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[3])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('cnot',[5,4])
k.gate('h',[3])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,3])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('cnot',[11,3])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[11])
k.gate('t',[8])
k.gate('cnot',[11,3])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('tdag',[11])
k.gate('cnot',[3,11])
k.gate('tdag',[3])
k.gate('tdag',[11])
k.gate('t',[8])
k.gate('cnot',[8,11])
k.gate('cnot',[3,8])
k.gate('cnot',[11,3])
k.gate('h',[8])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[10])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[10])
k.gate('cnot',[1,0])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[10])
k.gate('cnot',[10,1])
k.gate('cnot',[0,10])
k.gate('cnot',[1,0])
k.gate('h',[10])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('tdag',[10])
k.gate('cnot',[2,10])
k.gate('tdag',[2])
k.gate('tdag',[10])
k.gate('t',[11])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[8])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,8])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('tdag',[11])
k.gate('cnot',[8,11])
k.gate('tdag',[8])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('cnot',[11,8])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[3])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[3])
k.gate('cnot',[5,4])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[3])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('cnot',[5,4])
k.gate('h',[3])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[8])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,8])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('tdag',[11])
k.gate('cnot',[8,11])
k.gate('tdag',[8])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[8,7])
k.gate('cnot',[11,8])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[3])
k.gate('t',[4])
k.gate('t',[5])
k.gate('t',[3])
k.gate('cnot',[5,4])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('tdag',[5])
k.gate('cnot',[4,5])
k.gate('tdag',[4])
k.gate('tdag',[5])
k.gate('t',[3])
k.gate('cnot',[3,5])
k.gate('cnot',[4,3])
k.gate('cnot',[5,4])
k.gate('h',[3])
k.gate('h',[9])
k.gate('t',[6])
k.gate('t',[3])
k.gate('t',[9])
k.gate('cnot',[3,6])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('tdag',[3])
k.gate('cnot',[6,3])
k.gate('tdag',[6])
k.gate('tdag',[3])
k.gate('t',[9])
k.gate('cnot',[9,3])
k.gate('cnot',[6,9])
k.gate('cnot',[3,6])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[2])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,2])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('tdag',[11])
k.gate('cnot',[2,11])
k.gate('tdag',[2])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('cnot',[11,2])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[2])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,2])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('tdag',[11])
k.gate('cnot',[2,11])
k.gate('tdag',[2])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('cnot',[11,2])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[6])
k.gate('t',[7])
k.gate('t',[11])
k.gate('t',[6])
k.gate('cnot',[11,7])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('tdag',[11])
k.gate('cnot',[7,11])
k.gate('tdag',[7])
k.gate('tdag',[11])
k.gate('t',[6])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('cnot',[11,7])
k.gate('h',[6])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('t',[8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('tdag',[4])
k.gate('cnot',[3,4])
k.gate('tdag',[3])
k.gate('tdag',[4])
k.gate('t',[8])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[6])
k.gate('t',[7])
k.gate('t',[11])
k.gate('t',[6])
k.gate('cnot',[11,7])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('tdag',[11])
k.gate('cnot',[7,11])
k.gate('tdag',[7])
k.gate('tdag',[11])
k.gate('t',[6])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('cnot',[11,7])
k.gate('h',[6])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('t',[8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('tdag',[4])
k.gate('cnot',[3,4])
k.gate('tdag',[3])
k.gate('tdag',[4])
k.gate('t',[8])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[2])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,2])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('tdag',[11])
k.gate('cnot',[2,11])
k.gate('tdag',[2])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('cnot',[11,2])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[7])
k.gate('t',[2])
k.gate('t',[11])
k.gate('t',[7])
k.gate('cnot',[11,2])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('tdag',[11])
k.gate('cnot',[2,11])
k.gate('tdag',[2])
k.gate('tdag',[11])
k.gate('t',[7])
k.gate('cnot',[7,11])
k.gate('cnot',[2,7])
k.gate('cnot',[11,2])
k.gate('h',[7])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[6])
k.gate('t',[7])
k.gate('t',[11])
k.gate('t',[6])
k.gate('cnot',[11,7])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('tdag',[11])
k.gate('cnot',[7,11])
k.gate('tdag',[7])
k.gate('tdag',[11])
k.gate('t',[6])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('cnot',[11,7])
k.gate('h',[6])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('t',[8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('tdag',[4])
k.gate('cnot',[3,4])
k.gate('tdag',[3])
k.gate('tdag',[4])
k.gate('t',[8])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[6])
k.gate('t',[7])
k.gate('t',[11])
k.gate('t',[6])
k.gate('cnot',[11,7])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('tdag',[11])
k.gate('cnot',[7,11])
k.gate('tdag',[7])
k.gate('tdag',[11])
k.gate('t',[6])
k.gate('cnot',[6,11])
k.gate('cnot',[7,6])
k.gate('cnot',[11,7])
k.gate('h',[6])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[3])
k.gate('t',[4])
k.gate('t',[8])
k.gate('cnot',[4,3])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('tdag',[4])
k.gate('cnot',[3,4])
k.gate('tdag',[3])
k.gate('tdag',[4])
k.gate('t',[8])
k.gate('cnot',[8,4])
k.gate('cnot',[3,8])
k.gate('cnot',[4,3])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[5])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,5])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('tdag',[8])
k.gate('cnot',[5,8])
k.gate('tdag',[5])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[5,9])
k.gate('cnot',[8,5])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[10])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,10])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('tdag',[9])
k.gate('cnot',[10,9])
k.gate('tdag',[10])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[10,11])
k.gate('cnot',[9,10])
k.gate('h',[11])
k.gate('h',[5])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[5])
k.gate('cnot',[11,10])
k.gate('cnot',[5,11])
k.gate('cnot',[10,5])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[5])
k.gate('cnot',[5,11])
k.gate('cnot',[10,5])
k.gate('cnot',[11,10])
k.gate('h',[5])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[2])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,2])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('tdag',[7])
k.gate('cnot',[2,7])
k.gate('tdag',[2])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('cnot',[7,2])
k.gate('h',[8])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[7])
k.gate('cnot',[1,0])
k.gate('cnot',[7,1])
k.gate('cnot',[0,7])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[7])
k.gate('cnot',[7,1])
k.gate('cnot',[0,7])
k.gate('cnot',[1,0])
k.gate('h',[7])
k.gate('h',[8])
k.gate('t',[2])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,2])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('tdag',[7])
k.gate('cnot',[2,7])
k.gate('tdag',[2])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('cnot',[7,2])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('h',[11])
k.gate('h',[5])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[5])
k.gate('cnot',[11,10])
k.gate('cnot',[5,11])
k.gate('cnot',[10,5])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[5])
k.gate('cnot',[5,11])
k.gate('cnot',[10,5])
k.gate('cnot',[11,10])
k.gate('h',[5])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[2])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,2])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('tdag',[7])
k.gate('cnot',[2,7])
k.gate('tdag',[2])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('cnot',[7,2])
k.gate('h',[8])
k.gate('h',[7])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[7])
k.gate('cnot',[1,0])
k.gate('cnot',[7,1])
k.gate('cnot',[0,7])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[7])
k.gate('cnot',[7,1])
k.gate('cnot',[0,7])
k.gate('cnot',[1,0])
k.gate('h',[7])
k.gate('h',[8])
k.gate('t',[2])
k.gate('t',[7])
k.gate('t',[8])
k.gate('cnot',[7,2])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('tdag',[7])
k.gate('cnot',[2,7])
k.gate('tdag',[2])
k.gate('tdag',[7])
k.gate('t',[8])
k.gate('cnot',[8,7])
k.gate('cnot',[2,8])
k.gate('cnot',[7,2])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[3])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,3])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('tdag',[8])
k.gate('cnot',[3,8])
k.gate('tdag',[3])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[3,9])
k.gate('cnot',[8,3])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[4])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,4])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('tdag',[9])
k.gate('cnot',[4,9])
k.gate('tdag',[4])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[4,11])
k.gate('cnot',[9,4])
k.gate('h',[11])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[4])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('h',[4])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,3])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('cnot',[9,3])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,3])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('cnot',[9,3])
k.gate('h',[11])
k.gate('h',[4])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[4])
k.gate('cnot',[11,10])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[4])
k.gate('cnot',[4,11])
k.gate('cnot',[10,4])
k.gate('cnot',[11,10])
k.gate('h',[4])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,3])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('cnot',[9,3])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[8])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[8])
k.gate('cnot',[1,0])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[8])
k.gate('cnot',[8,1])
k.gate('cnot',[0,8])
k.gate('cnot',[1,0])
k.gate('h',[8])
k.gate('h',[9])
k.gate('t',[2])
k.gate('t',[8])
k.gate('t',[9])
k.gate('cnot',[8,2])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('tdag',[8])
k.gate('cnot',[2,8])
k.gate('tdag',[2])
k.gate('tdag',[8])
k.gate('t',[9])
k.gate('cnot',[9,8])
k.gate('cnot',[2,9])
k.gate('cnot',[8,2])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[3])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,3])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('tdag',[9])
k.gate('cnot',[3,9])
k.gate('tdag',[3])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[3,11])
k.gate('cnot',[9,3])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[3])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,2])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('tdag',[9])
k.gate('cnot',[2,9])
k.gate('tdag',[2])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('cnot',[9,2])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[9])
k.gate('cnot',[1,0])
k.gate('cnot',[9,1])
k.gate('cnot',[0,9])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[9])
k.gate('cnot',[9,1])
k.gate('cnot',[0,9])
k.gate('cnot',[1,0])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,2])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('tdag',[9])
k.gate('cnot',[2,9])
k.gate('tdag',[2])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('cnot',[9,2])
k.gate('h',[11])
k.gate('h',[3])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[3])
k.gate('cnot',[11,10])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[3])
k.gate('cnot',[3,11])
k.gate('cnot',[10,3])
k.gate('cnot',[11,10])
k.gate('h',[3])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,2])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('tdag',[9])
k.gate('cnot',[2,9])
k.gate('tdag',[2])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('cnot',[9,2])
k.gate('h',[11])
k.gate('h',[9])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[9])
k.gate('cnot',[1,0])
k.gate('cnot',[9,1])
k.gate('cnot',[0,9])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[9])
k.gate('cnot',[9,1])
k.gate('cnot',[0,9])
k.gate('cnot',[1,0])
k.gate('h',[9])
k.gate('h',[11])
k.gate('t',[2])
k.gate('t',[9])
k.gate('t',[11])
k.gate('cnot',[9,2])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('tdag',[9])
k.gate('cnot',[2,9])
k.gate('tdag',[2])
k.gate('tdag',[9])
k.gate('t',[11])
k.gate('cnot',[11,9])
k.gate('cnot',[2,11])
k.gate('cnot',[9,2])
k.gate('h',[11])
k.gate('h',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[2])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('h',[2])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[2])
k.gate('t',[10])
k.gate('t',[11])
k.gate('t',[2])
k.gate('cnot',[11,10])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('tdag',[11])
k.gate('cnot',[10,11])
k.gate('tdag',[10])
k.gate('tdag',[11])
k.gate('t',[2])
k.gate('cnot',[2,11])
k.gate('cnot',[10,2])
k.gate('cnot',[11,10])
k.gate('h',[2])
k.gate('h',[11])
k.gate('t',[0])
k.gate('t',[1])
k.gate('t',[11])
k.gate('cnot',[1,0])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('tdag',[1])
k.gate('cnot',[0,1])
k.gate('tdag',[0])
k.gate('tdag',[1])
k.gate('t',[11])
k.gate('cnot',[11,1])
k.gate('cnot',[0,11])
k.gate('cnot',[1,0])
k.gate('h',[11])
k.gate('h',[1])
k.gate('t',[0])
k.gate('t',[10])
k.gate('t',[1])
k.gate('cnot',[10,0])
k.gate('cnot',[1,10])
k.gate('cnot',[0,1])
k.gate('tdag',[10])
k.gate('cnot',[0,10])
k.gate('tdag',[0])
k.gate('tdag',[10])
k.gate('t',[1])
k.gate('cnot',[1,10])
k.gate('cnot',[0,1])
k.gate('cnot',[10,0])
k.gate('h',[1])
k.gate('cnot',[10,0])
if measurement:
for q in range(num_qubits):
k.gate('measure', [q])
p.add_kernel(k)
p.compile()
ql.set_option('mapper', 'no')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='OpenQL compilation of a Quantum Algorithm')
parser.add_argument('config_file', help='Path to the OpenQL configuration file to compile this algorithm')
parser.add_argument('--new_scheduler', nargs='?', default='yes', help='Scheduler defined by Hans')
parser.add_argument('--scheduler', nargs='?', default='ASAP', help='Scheduler specification (ASAP (default), ALAP, ...)')
parser.add_argument('--uniform_sched', nargs='?', default='no', help='Uniform shceduler actication (yes or no)')
parser.add_argument('--sched_commute', nargs='?', default='yes', help='Permits two-qubit gates to be commutable')
parser.add_argument('--mapper', nargs='?', default='base', help='Mapper specification (base, minextend, minextendrc)')
parser.add_argument('--moves', nargs='?', default='no', help='Let the use of moves')
parser.add_argument('--maptiebreak', nargs='?', default='random', help='')
parser.add_argument('--initial_placement', nargs='?', default='no', help='Initial placement specification (yes or no)')
parser.add_argument('--out_dir', nargs='?', default='test_output', help='Folder name to store the compilation')
parser.add_argument('--measurement', nargs='?', default=True, help='Add measurement to all the qubits in the end of the algorithm')
args = parser.parse_args()
try:
circuit(args.config_file, args.new_scheduler, args.scheduler, args.uniform_sched, args.sched_commute, args.mapper, args.moves, args.maptiebreak, args.initial_placement, args.out_dir)
except TypeError:
print('\nCompiled, but some gate is not defined in the configuration file. \nThe gate will be invoked like it is.')
raise | [
"[email protected]"
]
| |
b9af3fae8856807e32bf2d31ce7e14ead62f9716 | 27010a7ad70bf69511858a91d42dc7a64e61b66d | /src/1763_longest_nice_substring.py | f1a96df1b1ba601c788359bfd79537a5f6d61f4a | [
"Apache-2.0"
]
| permissive | hariharanragothaman/leetcode-solutions | fb7d967f2c6e3f4c936e3c7afe369415bc8d2dc6 | 44e759f80d3c9df382fdf8d694d6378881e3649d | refs/heads/master | 2023-09-03T20:31:59.200701 | 2021-10-18T00:50:56 | 2021-10-18T00:50:56 | 267,927,538 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,765 | py | """
A string s is nice if, for every letter of the alphabet that s contains, it appears both in uppercase and lowercase. For example, "abABB" is nice because 'A' and 'a' appear, and 'B' and 'b' appear. However, "abA" is not because 'b' appears, but 'B' does not.
Given a string s, return the longest substring of s that is nice. If there are multiple, return the substring of the earliest occurrence. If there are none, return an empty string.
Example 1:
Input: s = "YazaAay"
Output: "aAa"
Explanation: "aAa" is a nice string because 'A/a' is the only letter of the alphabet in s, and both 'A' and 'a' appear.
"aAa" is the longest nice substring.
Example 2:
Input: s = "Bb"
Output: "Bb"
Explanation: "Bb" is a nice string because both 'B' and 'b' appear. The whole string is a substring.
Example 3:
Input: s = "c"
Output: ""
Explanation: There are no nice substrings.
Example 4:
Input: s = "dDzeE"
Output: "dD"
Explanation: Both "dD" and "eE" are the longest nice substrings.
As there are multiple longest nice substrings, return "dD" since it occurs earlier.
Constraints:
1 <= s.length <= 100
s consists of uppercase and lowercase English letters.
"""
class Solution:
def longestNiceSubstring(self, s: str) -> str:
max_length = 0
result = ""
for i in range(len(s)):
for j in range(i, len(s)):
substr = s[i : j + 1]
upper = "".join(c for c in substr if c.isupper())
lower = "".join(c for c in substr if c.islower())
upper = upper.lower()
if set(upper) == set(lower) and (len(substr) > max_length):
max_length = max(max_length, len(substr))
result = substr
return result
| [
"[email protected]"
]
| |
e18acdf10dc10f22be785b412c98734ef4391a78 | d190750d6cb34e9d86ae96724cf4b56a2f57a74a | /tests/r/test_morley.py | 562dc425811ab5a69db86c60b1d186302756d5a8 | [
"Apache-2.0"
]
| permissive | ROAD2018/observations | a119f61a48213d791de0620804adb8d21c2ad9fb | 2c8b1ac31025938cb17762e540f2f592e302d5de | refs/heads/master | 2021-09-24T04:28:02.725245 | 2018-09-16T23:06:30 | 2018-09-16T23:06:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 510 | py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import shutil
import sys
import tempfile
from observations.r.morley import morley
def test_morley():
"""Test module morley.py by downloading
morley.csv and testing shape of
extracted data has 100 rows and 3 columns
"""
test_path = tempfile.mkdtemp()
x_train, metadata = morley(test_path)
try:
assert x_train.shape == (100, 3)
except:
shutil.rmtree(test_path)
raise()
| [
"[email protected]"
]
| |
01e4a166b1a96c6ed40e515a79db2f4f05132979 | 83957f263305c8021add5f05327381263cc6fdad | /mongrey/server/protocols.py | 92242373a487ab32a09578418932680ea295c321 | [
"BSD-3-Clause"
]
| permissive | srault95/mongrey | d011727bb003ec02dd9797876a2cc055554d0ed9 | 63a94efd33db04e4b361dd259bfda3e520c305c8 | refs/heads/master | 2020-05-15T19:50:40.992062 | 2018-03-11T09:11:46 | 2018-03-11T09:11:46 | 35,269,256 | 0 | 0 | null | 2018-03-11T09:11:47 | 2015-05-08T08:58:12 | CSS | UTF-8 | Python | false | false | 4,686 | py | # -*- coding: utf-8 -*-
import uuid
import logging
import re
from .. import constants
from ..exceptions import InvalidProtocolError
line_regex = re.compile(r'^\s*([^=\s]+)\s*=(.*)$')
logger = logging.getLogger(__name__)
def parse_protocol_line(request):
"""
example:
client_name=123, client_address=1.1.1.1, [email protected], [email protected]
"""
try:
fields = dict(constants.ALL_FIELDS).keys()
protocol = dict([a.strip(',').split('=') for a in request.split()])
for key in fields:
if not key in protocol:
protocol[key] = None
if not "instance" in protocol:
protocol["instance"] = str(uuid.uuid1())
for key in protocol.copy().keys():
if not key in constants.POSTFIX_PROTOCOL['valid_fields'] + ['country']:
protocol.pop(key)
return protocol
except Exception, err:
logger.error(str(err))
def parse_policy_protocol(fileobj, debug=False):
"""
@see: http://www.postfix.org/SMTPD_POLICY_README.html
"""
protocol = {}
while True:
line = fileobj.readline()
if line:
line = line.strip()
if debug:
logger.debug(line)
if not line:
break
else:
m = line_regex.match(line)
if not m:
break
key = m.group(1)
value = m.group(2)
if len(protocol) == 0:
'''First line'''
if key != 'request':
raise InvalidProtocolError("Invalid Protocol")
if not value or value != 'smtpd_access_policy':
raise InvalidProtocolError("Invalid Protocol")
elif key == 'request':
'''request=smtpd_access_policy already parsing'''
raise InvalidProtocolError("Invalid Protocol")
if key in protocol:
logger.warn("key is already in protocol : %s" % key)
else:
value = value.decode('utf-8', 'ignore')
value = value.encode('us-ascii', 'ignore')
protocol[key] = value.lower()
request = protocol.get('request', None)
if not request:
raise InvalidProtocolError("Invalid Protocol")
else:
if request != 'smtpd_access_policy':
raise InvalidProtocolError("Invalid Protocol")
return protocol
def verify_protocol(protocol):
if not 'protocol_state' in protocol:
raise InvalidProtocolError("protocol_state field not in protocol")
protocol_state = protocol.get('protocol_state')
if not protocol_state.lower() in constants.ACCEPT_PROTOCOL_STATES:
raise InvalidProtocolError("this protocol_state is not supported: %s" % protocol_state)
for key in protocol.keys():
if not key.lower() in constants.POSTFIX_PROTOCOL['valid_fields']:
raise InvalidProtocolError("invalid field in protocol: %s" % key)
def tcp_table_protocol(fileobj, debug=False):
"""
@see: http://www.postfix.org/tcp_table.5.html
"""
protocol = {}
while True:
line = fileobj.readline()
if line:
line = line.strip()
if debug:
logger.debug(line)
if not line:
break
else:
"""
get SPACE key NEWLINE
Look up data under the specified key.
REPLY:
500 SPACE text NEWLINE
400 SPACE text NEWLINE
200 SPACE text NEWLINE
"""
return line
return protocol
def tcp_table_test():
"""
postconf -e "smtpd_client_restrictions = check_client_access tcp:127.0.0.0:15005"
postconf -e "smtpd_sender_restrictions = check_sender_access tcp:127.0.0.0:15005"
postconf -e "smtpd_recipient_restrictions = check_recipient_access tcp:127.0.0.0:15005, reject"
"""
from gevent.server import StreamServer
def handle(sock, address):
fileobj = sock.makefile()
key_search = tcp_table_protocol(fileobj, debug=True)
print "key_search : ", key_search
fileobj.write("200 TEST\n")
fileobj.close()
#sock.close()
server = StreamServer(listener=('127.0.0.0', 15005), handle=handle)
try:
server.serve_forever()
except KeyboardInterrupt:
pass
if __name__ == "__main__":
tcp_table_test() | [
"[email protected]"
]
| |
b429309f8e623409f989dca83d4ff8711914cc70 | 1b1546cafc9453c4fdb9406533f94ed56206541c | /tests/tutorials/tour/test_decoupled.py | 1ca8a8aa8e194c9366c33e5da2f143cb4331d61d | [
"MIT"
]
| permissive | pauleveritt/wired | bad7ecadae4f23874598031ae8d17e08ba34ec9b | 629f950176a9682a7ccb68efbb27cb2e23b4e93e | refs/heads/master | 2020-05-01T06:38:38.728436 | 2019-04-29T12:43:43 | 2019-04-29T12:43:43 | 177,335,238 | 1 | 1 | MIT | 2019-04-23T00:14:34 | 2019-03-23T20:08:57 | Python | UTF-8 | Python | false | false | 1,029 | py | import pytest
from wired import ServiceRegistry
@pytest.fixture
def settings():
from tutorials.tour.decoupled import Settings
settings = Settings(punctuation='!!')
return settings
@pytest.fixture
def registry(settings):
from tutorials.tour.decoupled import setup
r: ServiceRegistry = setup(settings)
return r
@pytest.fixture
def default_customer():
from tutorials.tour.decoupled import Customer
return Customer(name='Mary')
@pytest.fixture
def french_customer():
from tutorials.tour.decoupled.custom import FrenchCustomer
return FrenchCustomer(name='Henri')
def test_greet_customer(registry, default_customer):
from tutorials.tour.decoupled import greet_customer
actual = greet_customer(registry, default_customer)
assert 'Hello Mary !!' == actual
def test_greet_french_customer(registry, french_customer):
from tutorials.tour.decoupled import greet_customer
actual = greet_customer(registry, french_customer)
assert 'Bonjour Henri !!' == actual
| [
"[email protected]"
]
| |
2ee8380fc6a904aebb84b742cacca3669f9f7f0a | aea1d61c9a5d445f3a1c328a757dfa02d652f367 | /dataset_04__eph_stim_vs_dist/fig9b/code/data/results/all_lfps.py | 6880c9a242cd1df2c7015ad340675a073b8c6c85 | []
| no_license | ModelDBRepository/263988 | bb15ddf953a31ca44ac62ead919e3106389374f8 | b1f4bd4931bb1ddcc323108c39e389b9fa4234a0 | refs/heads/master | 2022-11-21T22:38:24.738870 | 2020-07-30T00:38:17 | 2020-07-30T00:38:17 | 283,632,019 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,650 | py | """
Miguel Capllonch Juan
30 September 2018
Draw together all the LFPs computed with the different methods:
- Results from the simulations (RN model)
- Using the VC conductor theory
"""
import numpy as np
import matplotlib.pyplot as plt
import csv
# Recording electrodes
rec_els = {
'E': {'pos': (250, 0, 19000),
'lfp_indiv_ly1': {}, 'lfp_indiv_ly2': {},
'lfp_total_ly1': None, 'lfp_total_ly2': None,
'color': 'r'},
'S': {'pos': (0, -250, 19000),
'lfp_indiv_ly1': {}, 'lfp_indiv_ly2': {},
'lfp_total_ly1': None, 'lfp_total_ly2': None,
'color': 'g'},
'W': {'pos': (-250, 0, 19000),
'lfp_indiv_ly1': {}, 'lfp_indiv_ly2': {},
'lfp_total_ly1': None, 'lfp_total_ly2': None,
'color': 'b'},
'N': {'pos': (0, 250, 19000),
'lfp_indiv_ly1': {}, 'lfp_indiv_ly2': {},
'lfp_total_ly1': None, 'lfp_total_ly2': None,
'color': 'k'}
}
# Stimulating electrode (amp in mA)
delay = 0.1
dur = 0.2
amp = -15.e-3
stimcurrent = None
stimelpos = (250, 0, 100)
# Medium conductivity tensor (1/(Ohm*um))
sigma_x = 1. / (1.211e3 * 1.e-6)
sigma_y = 1. / (1.211e3 * 1.e-6)
sigma_z = 1. / (0.175e3 * 1.e-6)
# Functions
def compute_lfp(currents, elpos):
""" Compute the LFP from a time series of currents as recorded by
a point electrode situated at elpos
The equation is taken from:
Nicholson & Freeman (1975)
The current sources are all the segments in the axon """
dx = x - elpos[0]
dy = y - elpos[1]
dz = z - elpos[2]
denominator = 4. * np.pi * np.sqrt\
(\
sigma_y * sigma_z * dx ** 2 + \
sigma_z * sigma_x * dy ** 2 + \
sigma_x * sigma_y * dz ** 2\
)
# denominator = np.tile(denominator, nt).reshape(currents.shape)
denominator = denominator.repeat(nt).reshape(currents.shape)
# print dz.shape, (dz ** 2).shape, currents.shape
return (currents / denominator).sum(axis=0)
def compute_lfp_fromtimeseries(currents, srcpos, elpos):
""" Compute the LFP from a time series of currents as recorded by
a point electrode situated at elpos
The equation is taken from:
Nicholson & Freeman (1975)
This time, there is only one current point source """
dx = srcpos[0] - elpos[0]
dy = srcpos[1] - elpos[1]
dz = srcpos[2] - elpos[2]
denominator = 4. * np.pi * np.sqrt\
(\
sigma_y * sigma_z * dx ** 2 + \
sigma_z * sigma_x * dy ** 2 + \
sigma_x * sigma_y * dz ** 2\
)
# denominator = np.tile(denominator, nt).reshape(currents.shape)
# denominator = denominator.repeat(nt).reshape(currents.shape)
# denominator = denominator.repeat(nt)
# print dz.shape, (dz ** 2).shape, currents.shape
return currents / denominator
# Declare arrays
names = {}
ily1 = {}
ily2 = {}
balancely1 = {}
balancely2 = {}
lfp_indiv_ly1 = {}
lfp_indiv_ly2 = {}
x = []
y = []
z = []
ii_fibs = []
# Other parameters
dt = 0.005
# Get recordings from file
recs = []
# with open('./recordings_R0P0_noartefacts.csv', 'r') as f:
with open('./recordings_R0P0_withartefacts.csv', 'r') as f:
frl = list(csv.reader(f))
for row in frl[1:]:
recs.append(float(row[1]))
recs = np.array(recs)
# Get currents from file
with open('./membranecurrents.csv', 'r') as f:
frl = list(csv.reader(f))
for i, row in enumerate(frl[1:]):
ifib = int(row[0])
ii_fibs.append(ifib)
name = row[1]
data = row[5:]
ndata = len(data) / 2
dataly1 = np.array([float(item) for item in data[:ndata]])
dataly2 = np.array([float(item) for item in data[ndata:]])
try:
ily1[ifib].append(dataly1.copy())
ily2[ifib].append(dataly2.copy())
names[ifib].append(name)
except KeyError:
names[ifib] = [name]
ily1[ifib] = [dataly1]
ily2[ifib] = [dataly2]
x.append(float(row[2]))
y.append(float(row[3]))
z.append(float(row[4]))
# Positions from lists to arrays
x = np.array(x)
y = np.array(y)
z = np.array(z)
# Finish setting parameters that depend on the data
tarray = np.arange(0, dt * ndata, dt)
nt = len(tarray)
nsegstotal = len(z)
stimcurrent = amp * np.ones_like(tarray)
# stimcurrent[np.where(tarray < delay + dur)] = amp
stimcurrent[np.where(tarray < delay)] = 0.
stimcurrent[np.where(tarray > delay + dur)] = 0.
# stimcurrent = stimcurrent()
# stimcurrent[np.where(delay < tarray < delay + dur)] = amp
# Positions of the nodes of Ranvier
zRN = {}
# and indices corresponding to them
indsRN = {}
for k, v in names.items():
zRN[k] = []
indsRN[k] = []
for i, vv in enumerate(v):
if 'node' in vv:
zRN[k].append(z[i])
indsRN[k].append(i)
for ifib in ii_fibs:
# Current balances
ily1[ifib] = np.array(ily1[ifib])
ily2[ifib] = np.array(ily2[ifib])
balancely1[ifib] = np.zeros(nt)
balancely2[ifib] = np.zeros(nt)
for i_t, t in enumerate(tarray):
balancely1[ifib][i_t] = ily1[ifib][:, i_t].sum()
balancely2[ifib][i_t] = ily2[ifib][:, i_t].sum()
# Individual LFPs
for k, re in rec_els.items():
re['lfp_indiv_ly1'][ifib] = compute_lfp(ily1[ifib], re['pos'])
re['lfp_indiv_ly2'][ifib] = compute_lfp(ily2[ifib], re['pos'])
# Finally, sum up the individual LFPs of the fibers into a total LFP
# for each electrode
for k, re in rec_els.items():
re['lfp_total_ly1'] = np.zeros(nt)
re['lfp_total_ly2'] = np.zeros(nt)
for ifib in ii_fibs:
re['lfp_total_ly1'] += re['lfp_indiv_ly1'][ifib]
re['lfp_total_ly2'] += re['lfp_indiv_ly2'][ifib]
# Add the contribution of the stimulating electrode
re['lfp_total_ly1'] += compute_lfp_fromtimeseries(stimcurrent,
stimelpos, re['pos'])
re['lfp_total_ly2'] += compute_lfp_fromtimeseries(stimcurrent,
stimelpos, re['pos'])
# What if I sum them?
resum = re['lfp_total_ly1'] + re['lfp_total_ly2']
# Now compare the two curves
resum_norm = resum / np.abs(resum.max() - resum.min())
recs_norm = recs / np.abs(recs.max() - recs.min())
###############################################################################
# Figures
# Time evolution at some point
fig, ax = plt.subplots()
ax.plot(tarray, recs, lw=3, label='RN model')
for k, re in rec_els.items():
ax.plot(tarray, re['lfp_total_ly1'], c=re['color'] , ls='-',
label=k + '. Layer 1')
ax.plot(tarray, re['lfp_total_ly2'], c=re['color'] , ls='--',
label=k + '. Layer 2')
ax.plot(tarray, resum, 'r', lw=3, label='Sum VC model')
ax.set_xlabel('Time (ms)')
ax.set_ylabel('Extracellular recordings (mV)')
ax.set_title('Extracellular recordings')
ax.legend()
fig.tight_layout()
# plt.show()
fig.savefig('recordings_all.png')
fig, ax = plt.subplots()
ax.plot(tarray, recs_norm, lw=3, label='RN model')
ax.plot(tarray, resum_norm, 'r', lw=3, label='Sum VC model')
ax.set_xlabel('Time (ms)')
ax.set_ylabel('Extracellular recordings (mV)')
ax.set_title('Extracellular recordings (normalised)')
ax.legend()
fig.tight_layout()
# plt.show()
fig.savefig('recordings_all_compare_RN_VC.png')
| [
"[email protected]"
]
| |
ed22cd98ccc5c3ab583769e5ced040437212592d | 3f97f0ba5351aae879cae3c6c073d64077ee96bd | /ch99/photo/migrations/0001_initial.py | 14effa898a4c93b21d9524971d9600907b03422d | [
"MIT"
]
| permissive | dukuaris/django_web | 7b8e63d82718afc2a7aedd97ceed97f8aeab4040 | d6e8486999a8db8fc99c4b7dae0ddac402828c9d | refs/heads/master | 2023-01-07T09:02:06.316075 | 2020-01-28T06:46:27 | 2020-01-28T06:46:27 | 232,438,676 | 0 | 0 | MIT | 2022-12-27T15:36:34 | 2020-01-07T23:45:17 | HTML | UTF-8 | Python | false | false | 1,543 | py | # Generated by Django 2.2.2 on 2020-01-16 09:54
from django.db import migrations, models
import django.db.models.deletion
import photo.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Album',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=30, verbose_name='NAME')),
('description', models.CharField(blank=True, max_length=100, verbose_name='One Line Description')),
],
options={
'ordering': ('name',),
},
),
migrations.CreateModel(
name='Photo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=30, verbose_name='TITLE')),
('description', models.TextField(blank=True, verbose_name='Photo Description')),
('image', photo.fields.ThumbnailImageField(upload_to='photo/%Y/%m', verbose_name='IMAGE')),
('upload_dt', models.DateTimeField(auto_now_add=True, verbose_name='UPLOAD DATE')),
('album', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='photo.Album')),
],
options={
'ordering': ('title',),
},
),
]
| [
"[email protected]"
]
| |
a150f25eb027d1b21cf74cf109a18e85acada783 | f576f0ea3725d54bd2551883901b25b863fe6688 | /sdk/apimanagement/azure-mgmt-apimanagement/generated_samples/api_management_user_confirmation_password_send.py | 793650579dac2e949735e69fe128bc5958cef7ad | [
"LicenseRef-scancode-generic-cla",
"MIT",
"LGPL-2.1-or-later"
]
| permissive | Azure/azure-sdk-for-python | 02e3838e53a33d8ba27e9bcc22bd84e790e4ca7c | c2ca191e736bb06bfbbbc9493e8325763ba990bb | refs/heads/main | 2023-09-06T09:30:13.135012 | 2023-09-06T01:08:06 | 2023-09-06T01:08:06 | 4,127,088 | 4,046 | 2,755 | MIT | 2023-09-14T21:48:49 | 2012-04-24T16:46:12 | Python | UTF-8 | Python | false | false | 1,638 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from azure.identity import DefaultAzureCredential
from azure.mgmt.apimanagement import ApiManagementClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-apimanagement
# USAGE
python api_management_user_confirmation_password_send.py
Before run the sample, please set the values of the client ID, tenant ID and client secret
of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""
def main():
client = ApiManagementClient(
credential=DefaultAzureCredential(),
subscription_id="subid",
)
response = client.user_confirmation_password.send(
resource_group_name="rg1",
service_name="apimService1",
user_id="57127d485157a511ace86ae7",
)
print(response)
# x-ms-original-file: specification/apimanagement/resource-manager/Microsoft.ApiManagement/stable/2022-08-01/examples/ApiManagementUserConfirmationPasswordSend.json
if __name__ == "__main__":
main()
| [
"[email protected]"
]
| |
4b7332355084b28ef509efbcfa0245ab7dafc7c7 | eb82022c0cfc7c8747661cff9624ad2099fa1c3f | /dev_recap_invoice/models/recap_invoice.py | 49c018ea5e561d7472a9a8bf5373cc7adc07fe2e | []
| no_license | dadysuarsa/Odoo | 8d026a066c390cc8f72805d2672212e61260c1cb | c9becd0c192fa239520ad3e1a11d81f70832eddf | refs/heads/master | 2023-03-11T06:02:06.011575 | 2021-02-26T02:17:37 | 2021-02-26T02:17:37 | 276,346,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,488 | py |
# -*- coding: utf-8 -*-
from odoo import models, fields, api,_
from odoo.exceptions import UserError, Warning
from odoo.tools import float_is_zero, float_compare, DEFAULT_SERVER_DATETIME_FORMAT
from odoo.tools.misc import formatLang
from odoo import time
from datetime import datetime
from openerp.tools import amount_to_text_en
class AccountInvoice(models.Model):
_inherit = 'account.invoice'
ship_mode = fields.Selection([
('1','By air'),
('2','By sea'),
('3','By sea air')
],string="Ship Mode")
class recapinvoice(models.Model):
_name = 'invoice.recap'
name = fields.Char(string="No Invoice", readonly=True, default="NEW")
date_trans = fields.Datetime(string='Date Transaction', required=True, index=True, copy=False,
default=fields.Datetime.now)
company_id = fields.Many2one('res.company', ondelete='set null',string='Company Id',index=True,default=lambda self: self.env['res.company']._company_default_get('invoice.recap'))
user_id = fields.Many2one('res.users',string='User id ', index=True, track_visibility='onchange', default=lambda self: self.env.user)
state= fields.Selection([
('draft',"Draft"),
('done',"Done"),
], string="Status", readonly=True,copy=False,index=True,default='draft')
matauang = fields.Char(string="Currency")
total = fields.Float(string="Untax Amount",store=True, readonly=True, compute='_njmlnilai', track_visibility='always')
invoicerecapline_line = fields.One2many("invoice.recap.line","invoicerecap_line")
accountinv_id = fields.Many2one("account.invoice", string="Invoice Number", domain=[('type','=','out_invoice')])
customer_name = fields.Char(related="accountinv_id.partner_id.name", string="Customer")
ppn = fields.Float(string="Tax",compute="_njmlnilaippn", store=True )
jumlahtotal = fields.Float(string="Total",compute="_njmlnilaigab", store=True )
no_sj = fields.Char(string="Delivery Number")
#pricelist_id = fields.Many2one('product.pricelist', string='Pricelist', required=True, readonly=True, states={'draft': [('readonly', False)], 'sent': [('readonly', False)]}, help="Pricelist for current sales order.")
#total = fields.Monetary(string='Untaxed Amount', store=True, readonly=True, compute='_njmlnilai', track_visibility='always')
#ppn = fields.Monetary(string='Taxes', store=True, readonly=True, compute='_njmlnilaippn', track_visibility='always')
#jumlahtotal = fields.Monetary(string='Total', store=True, readonly=True, compute='_njmlnilaigab', track_visibility='always')
currency_id = fields.Many2one(related='accountinv_id.currency_id', store=True, string='Currency', readonly=True)
transportation = fields.Char(string="Transportation")
sum_qty = fields.Float(string="SUM qty",compute="_sum_qty",store=True)
sum_kemasan = fields.Float(string="SUM Kemasan",compute="_sum_qty",store=True)
#nosj = fields.Many2one(related='accountinv_id.picking_id',string="Delivery Order Number", store=True)
divisi = fields.Selection([
('textile','TEXTILE'),
('garment','GARMENT'),
], string='Division', default='textile')
ship_mode = fields.Selection([
('1','By air'),
('2','By sea'),
('3','By sea air')
],string="Ship Mode")
ref = fields.Char('REF', help="REF ")
# qty_g = fields.Float(string='Qty')
# satuan_g = fields.Char(string='Unit')
# qty_kemasan_g = fields.Integer(string='Qty Kemasan')
# satuan_kemasan_g = fields.Char(string='Unit Kemasan')
# @api.multi
# def validate(self, vals):
# c=''
# if self.divisi=='textile':
# c='1'
# if self.divisi=='garment':
# c='2'
# now=datetime.now()
# month = now.strftime("%m")
# year=now.strftime("%y")
# nmsequencesj=month+year
# nmsequence=month+year
# cdivisi=c+"ROUT"
# # vals['no_sj'] = self.env['ir.sequence'].get_sequence('nosjrecap',nmsequencesj,cdivisi+'%(y)s%(month)s',4)
# csj=self.env['ir.sequence'].get_sequence('nosjrecap',nmsequencesj,cdivisi+'%(y)s%(month)s',4)
# cinv=self.env['ir.sequence'].get_sequence('noinvrecap',nmsequence,'INV-R/%(month)s/%(y)s/',4)
# # vals['name'] = self.env['ir.sequence'].get_sequence('noinvrecap',nmsequence,'INV-R/%(month)s/%(y)s/',4)
# cvalidate = self.write({'state':'done',})
# isi_sj = self.write({'no_sj':csj,})
# isi_inv = self.write({'name':cinv,})
# # return super(recapinvoice, self).create(vals)
# return cvalidate
# return isi_sj
# return isi_inv
# if not self.invoicerecapline_line:
# raise UserError('Details Cannot Be Empty')
# cvalidate = self.write({'state':'done',})
@api.model
def create(self, vals):
if not self.invoicerecapline_line:
now=datetime.now()
month = now.strftime("%m")
year=now.strftime("%y")
nmsequencesj=month+year
nmsequence=month+year
company_code = self.env.user.company_id.code_company
cdivisi=company_code+"ROUT"
vals['no_sj'] = self.env['ir.sequence'].get_sequence('nosjrecap',nmsequencesj,cdivisi+'%(y)s%(month)s',4)
vals['name'] = self.env['ir.sequence'].get_sequence('noinvrecap',nmsequence,'INV-R/%(month)s/%(y)s/',4)
return super(recapinvoice, self).create(vals)
#==================
# @api.model
# def create1(self, vals):
# raise UserError('inv')
# now=datetime.now()
# month = now.strftime("%m")
# year=now.strftime("%y")
# nmsequence=month+year
# vals['name'] = self.env['ir.sequence'].get_sequence('noinvrecap',nmsequence,'INV-R/%(month)s/%(y)s/',4)
# return super(recapinvoice, self).create(vals)
#================
@api.multi
def validate(self):
if not self.invoicerecapline_line:
raise UserError('Details Cannot Be Empty')
if self.invoicerecapline_line:
list_of_inv_distinct =[]
list_of_inv_distinct[:] =[]
list_of_inv = [x.noinvoice for x in self.invoicerecapline_line]
for a in list_of_inv:
if a not in list_of_inv_distinct:
list_of_inv_distinct.append(a)
rec_inv = self.env['account.invoice'].search([('number','in',list_of_inv_distinct)])
for r in rec_inv:
r.write({'ship_mode':self.ship_mode})
cvalidate = self.write({'state':'done',})
return cvalidate
@api.depends('invoicerecapline_line','accountinv_id')
def _njmlnilai(self):
for rec in self:
x=sum([att.total for att in rec.invoicerecapline_line])
rec.total=x
#raise UserError(x)
#rec.update({'total': rec.pricelist_id.currency_id.round(x)})
@api.depends('invoicerecapline_line','accountinv_id')
def _njmlnilaippn(self):
d=[t.noinvoice for t in self.invoicerecapline_line]
#raise UserError(list1)
accinv=self.env['account.invoice'].search([('number','=',d)])
c=sum([p.amount_tax for p in accinv])
#raise UserError(c)
self.ppn=c
#self.update({'ppn': self.pricelist_id.currency_id.round(c)})
@api.depends('invoicerecapline_line','accountinv_id')
def _njmlnilaigab(self):
ntotal=self.ppn+self.total
self.jumlahtotal=ntotal
#self.update({'jumlahtotal': self.pricelist_id.currency_id.round(ntotal)})
# def _isirecord(self,crec,noinv):
# rincianinvoice = self.env['invoice.recap.line']
# data = {'invoicerecap_line': self.id,
# 'no_mo': crec.no_mo,
# 'no_design':crec.no_design,
# 'no_design_buyer':crec.no_design_buyer,
# 'color':crec.color,
# 'product_id':crec.product_id,
# 'cost_center_id':crec.cost_center_id,
# 'qty':crec.quantity,
# 'price':crec.price_unit,
# 'total':crec.price_subtotal,
# 'noinvoice':noinv.number,
# 'account':crec.account_id,
# 'cost_center_id':crec.cost_center_id,
# 'inv_line_id':crec.id,
# 'nosj':noinv.picking_id.name
# }
# return data
@api.onchange('accountinv_id')
def _gabunginv(self):
ckemasan=''
cjmlkemasan=0
company_code = self.env.user.company_id.code_company
if company_code=='1':
if self.accountinv_id:
isiinv = self.env['account.invoice.line'].search([('invoice_id','=',self.accountinv_id.id)])
#self.accountinv_id.id
#raise UserError(isiinv)
for crec in isiinv:
cariinv = self.env['account.invoice'].search([('id', '=',crec.invoice_id.id)])
cekkemasan = self.env['stock.picking'].search([('id','=',cariinv.picking_id.id)])
# for r in cekkemasan.kemasan_line:
# ckemasan = r.jenis_kemasan_id.name
# cjmlkemasan = r.qty
# raise UserError(crec.uom_id.name)
for noinv in cariinv:
cekinv = self.env['invoice.recap.line'].search([('noinvoice','=',crec.invoice_id.number),('product_id','=',crec.product_id.id),('state','!=','')])
#cek_orderline = self.env['invoicerecapline_line'].search([('noinvoice','=',crec.invoice_id.number),('product_id','=',crec.product_id.id)])
if not cekinv:
values = self.env['invoice.recap.line'].new({'no_mo': crec.no_mo,'no_design':crec.no_design,'no_design_buyer':crec.no_design_buyer,
'color':crec.color,
'product_id':crec.product_id,
'cost_center_id':crec.cost_center_id,
'qty':crec.quantity,
'price':crec.price_unit,
'total':crec.price_subtotal,
'noinvoice':noinv.number,
'account':crec.account_id,
'cost_center_id':crec.cost_center_id,
'inv_line_id':crec.id,
'nosj':noinv.picking_id.name,
'satuan_id':crec.uom_id.id,
'destinasi_id':cariinv.name_destination.id
})
self.invoicerecapline_line += values
else:
if self.accountinv_id:
query="""
select a.id,a.name_destination as destinasi,b.product_id,b.name,b.invoice_id,b.account_id,b.uom_id as satuan,b.price_unit as harga,sum(b.quantity) as jmlqty,sum(b.price_subtotal) as nilaitotal
from account_invoice a
inner join account_invoice_line b on a.id=b.invoice_id where invoice_id=%s group by a.id,b.invoice_id,b.product_id,b.name,b.account_id,b.uom_id,b.price_unit
"""
tes= self._cr.execute(query,(self.accountinv_id.id,))
# tes=self.env.cr.fetchall()
tes=self.env.cr.dictfetchall()
for grm in tes:
# for grm in self.env.cr.dictfetchall():
values = self.env['invoice.recap.line'].new({
'product_id':grm['product_id'],
'description':grm['name'],
'qty':grm['jmlqty'],
'total':grm['nilaitotal'],
'noinvoice':self.accountinv_id.number,
'account':grm['account_id'],
'price':grm['harga'],
# 'nosj':noinv.picking_id.name,
# 'qty_kemasan':cjmlkemasan,
# 'jenis_kemasan':ckemasan,
'satuan_id':grm['satuan'],
'destinasi_id':grm['destinasi']
})
self.invoicerecapline_line += values
# def _gabunginv(self): #original sebelum tambah cetakan yg sj garment
# if self.divisi=='textile':
# if self.accountinv_id:
# isiinv = self.env['account.invoice.line'].search([('invoice_id','=',self.accountinv_id.id)])
# #self.accountinv_id.id
# #raise UserError(isiinv)
# for crec in isiinv:
# cariinv = self.env['account.invoice'].search([('id', '=',crec.invoice_id.id)])
# # new_lines = self.env['invoice.recap.line']
# for noinv in cariinv:
# cekinv = self.env['invoice.recap.line'].search([('noinvoice','=',crec.invoice_id.number),('product_id','=',crec.product_id.id),('state','!=','')])
# #cek_orderline = self.env['invoicerecapline_line'].search([('noinvoice','=',crec.invoice_id.number),('product_id','=',crec.product_id.id)])
# if not cekinv:
# # data = self._isirecord(crec,noinv)
# # new_line = new_lines.new(data)
# # new_line._set_additional_fields()
# # new_lines += new_line
# values = self.env['invoice.recap.line'].new({'no_mo': crec.no_mo,'no_design':crec.no_design,'no_design_buyer':crec.no_design_buyer,
# 'color':crec.color,
# 'product_id':crec.product_id,
# 'cost_center_id':crec.cost_center_id,
# 'qty':crec.quantity,
# 'price':crec.price_unit,
# 'total':crec.price_subtotal,
# 'noinvoice':noinv.number,
# 'account':crec.account_id,
# 'cost_center_id':crec.cost_center_id,
# 'inv_line_id':crec.id,
# 'nosj':noinv.picking_id.name
# })
# self.invoicerecapline_line += values #batas original sebelum tambah cetakan yg sj garment
## else:
## cariinv=self.env['account.invoice'].search([('picking_id','=',self.accountinv_id.picking_id.id)])
## raise UserError(cariinv.picking_id.id)
@api.multi
def _updateinvgabungan(self):
filterinv = self.env['invoice.recap.line'].search([('name','=',self.name)])
#raise UserError(filterinv.noinvoice)
for rec in filterinv:
if rec :
x=self.env['account.invoice'].search([('number','=',rec.noinvoice)])
x.write({'invoice_gabungan':self.name})
#raise UserError(rec.noinvoice)
@api.depends("invoicerecapline_line")
def _sum_qty(self):
nqty1=0
nqty2=0
for r in self:
for z in r.invoicerecapline_line:
nqty1+=z.qty
nqty2+=z.qty_kemasan
r.sum_qty=nqty1
r.sum_kemasan = nqty2
@api.one
def action_change(self):
res = self.write({
'name':self.ref,
})
return res
# @api.depends("invoicerecapline_line")
# def sum_qty_kemasan(self):
# nqty2=0
# for z in self.invoicerecapline_line:
# nqty2+=z.qty_kemasan
# self.sum_kemasan=nqty2
@api.multi
def todraft(self):
if self.state =='done':
res = self.write({
'state':'draft',
})
return res
class recapinvoiceline(models.Model):
_name = 'invoice.recap.line'
name = fields.Char(related="invoicerecap_line.name", store=True)
no_mo = fields.Char(string="Order No")
no_design = fields.Char(string="Design No")
no_design_buyer = fields.Char(string="Design Buyer")
color = fields.Char(string="Color")
description = fields.Char(string="Description")
account = fields.Many2one("account.account",string="Account")
product_id = fields.Many2one("product.product", string="Product")
cost_center_id = fields.Many2one("account.cost.center",string="Cost Center")
invoice_tax = fields.Many2one("account.tax",string="Tax",readonly=True)
noinvoice = fields.Char(string="Invoice Number")
nosj = fields.Char(string="Delivery Order Number")
nama_barang = fields.Char(related="product_id.name")
price = fields.Float(string="Price", readonly=True)
qty = fields.Float(string="Quantity", readonly=True)
total = fields.Float(string="Total", readonly=True)
invoicerecap_line = fields.Many2one("invoice.recap", ondelete='cascade', index=True, copy=False)
state = fields.Selection(related="invoicerecap_line.state", store=True)
#noinvoice_gabungan = fields.Char(related="invoicerecap_line.name", store=True)
date_trans = fields.Datetime(string='Date Transaction', required=True, index=True, copy=False,
default=fields.Datetime.now)
company_id = fields.Many2one('res.company', ondelete='set null',string='Company Id',index=True,default=lambda self: self.env['res.company']._company_default_get('invoice.recap.line'))
user_id = fields.Many2one('res.users',string='User id ', index=True, track_visibility='onchange', default=lambda self: self.env.user)
inv_line_id = fields.Integer()
keterangan = fields.Char(string="Keterangan")
qty_kemasan = fields.Float(string='Packing Qty')
jenis_kemasan = fields.Many2one("jenis.kemasan",string='Packing')
satuan_id = fields.Many2one("product.uom",string="Unit")
destinasi_id = fields.Many2one("master.destination.line",string="Destination")
# def _set_additional_fields(self):
# pass | [
"[email protected]"
]
| |
605f661973bbbcd2a3ae449efe253b4c8fb5f8d1 | a3eb732ead7e1d10a85a88e42dc639eb16a40265 | /instagram_api/exceptions/login_required.py | 17efdeb06ecf91b72d2beb3c97a51eae69770f8a | [
"MIT"
]
| permissive | carsam2021/instagram_api | 7654c0f485c22935cf478016e46e65acbeda9344 | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | refs/heads/master | 2023-03-16T14:06:27.515432 | 2020-10-17T04:39:19 | 2020-10-17T04:39:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 97 | py | from .request import RequestException
class LoginRequiredException(RequestException):
pass
| [
"[email protected]"
]
| |
bb9907066005e577a1998be045ba95d25cf0401b | 48bb4a0dbb361a67b88b7c7532deee24d70aa56a | /codekata/greatese.py | 5bf5eea99317b8d7235f806cd8e0e600b1945704 | []
| no_license | PRAMILARASI/GUVI | 66080a80400888263d511138cb6ecd37540507c7 | 6a30a1d0a3f4a777db895f0b3adc8b0ac90fd25b | refs/heads/master | 2022-01-28T08:54:07.719735 | 2019-06-24T15:57:05 | 2019-06-24T15:57:05 | 191,355,070 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | x=int(input(""))
y=int(input(""))
z=int(input(""))
if(x>y>z):
largest=x
print(largest)
elif(y>z):
largest=y
print (largest)
else:
largest=z
print(largest)
| [
"[email protected]"
]
| |
b8c9672e42c3bf90c709b694832601d20977efac | 14f455693213cae4506a01b7d0591e542c38de79 | /apps/profile/urls.py | ae3b903bd2e0bbdeddb2002969555017bac9927d | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
]
| permissive | Cvalladares/Newsblur_Instrumented | f0b14d063759973330f202108a7eed3a29bcc033 | 4d6ee6aa9713879b1e2550ea5f2dbd819c73af12 | refs/heads/master | 2022-12-29T15:19:29.726455 | 2019-09-03T17:09:04 | 2019-09-03T17:09:04 | 206,130,022 | 0 | 0 | MIT | 2022-12-10T06:00:26 | 2019-09-03T17:07:04 | Python | UTF-8 | Python | false | false | 2,248 | py | from django.conf.urls import *
from apps.profile import views
urlpatterns = patterns('',
url(r'^get_preferences?/?', views.get_preference),
url(r'^set_preference/?', views.set_preference),
url(r'^set_account_settings/?', views.set_account_settings),
url(r'^get_view_setting/?', views.get_view_setting),
url(r'^set_view_setting/?', views.set_view_setting),
url(r'^clear_view_setting/?', views.clear_view_setting),
url(r'^set_collapsed_folders/?', views.set_collapsed_folders),
url(r'^paypal_form/?', views.paypal_form),
url(r'^paypal_return/?', views.paypal_return, name='paypal-return'),
url(r'^is_premium/?', views.profile_is_premium, name='profile-is-premium'),
url(r'^paypal_ipn/?', include('paypal.standard.ipn.urls'), name='paypal-ipn'),
url(r'^paypal_webhooks/?', include('paypal.standard.ipn.urls'), name='paypal-webhooks'),
url(r'^stripe_form/?', views.stripe_form, name='stripe-form'),
url(r'^activities/?', views.load_activities, name='profile-activities'),
url(r'^payment_history/?', views.payment_history, name='profile-payment-history'),
url(r'^cancel_premium/?', views.cancel_premium, name='profile-cancel-premium'),
url(r'^refund_premium/?', views.refund_premium, name='profile-refund-premium'),
url(r'^never_expire_premium/?', views.never_expire_premium, name='profile-never-expire-premium'),
url(r'^upgrade_premium/?', views.upgrade_premium, name='profile-upgrade-premium'),
url(r'^save_ios_receipt/?', views.save_ios_receipt, name='save-ios-receipt'),
url(r'^update_payment_history/?', views.update_payment_history, name='profile-update-payment-history'),
url(r'^delete_account/?', views.delete_account, name='profile-delete-account'),
url(r'^forgot_password_return/?', views.forgot_password_return, name='profile-forgot-password-return'),
url(r'^forgot_password/?', views.forgot_password, name='profile-forgot-password'),
url(r'^delete_starred_stories/?', views.delete_starred_stories, name='profile-delete-starred-stories'),
url(r'^delete_all_sites/?', views.delete_all_sites, name='profile-delete-all-sites'),
url(r'^email_optout/?', views.email_optout, name='profile-email-optout'),
)
| [
"[email protected]"
]
| |
d741cbbed408cd89eba80b859cd1b82ff07f0c56 | 5f364b328d0e7df6f292dbbec266995f495b2ed4 | /src/python/txtai/vectors/words.py | 1cac062ec92c54e5a3ac71630cd7282b202a50b2 | [
"Apache-2.0"
]
| permissive | binglinchengxiash/txtai | a17553f57ddd857ff39a7d0b38e24930f5c71596 | 1513eb8390f01848742e67690b6e4bc6452101ee | refs/heads/master | 2023-04-03T18:59:35.845281 | 2021-04-05T22:05:15 | 2021-04-05T22:05:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,715 | py | """
Word Vectors module
"""
import os
import pickle
import tempfile
from errno import ENOENT
from multiprocessing import Pool
import fasttext
import numpy as np
from pymagnitude import converter, Magnitude
from .base import Vectors
from ..pipeline.tokenizer import Tokenizer
# Multiprocessing helper methods
# pylint: disable=W0603
VECTORS = None
def create(config, scoring):
"""
Multiprocessing helper method. Creates a global embeddings object to be accessed in a new subprocess.
Args:
config: vector configuration
scoring: scoring instance
"""
global VECTORS
# Create a global embedding object using configuration and saved
VECTORS = WordVectors(config, scoring)
def transform(document):
"""
Multiprocessing helper method. Transforms document into an embeddings vector.
Args:
document: (id, text|tokens, tags)
Returns:
(id, embedding)
"""
global VECTORS
return (document[0], VECTORS.transform(document))
class WordVectors(Vectors):
"""
Builds sentence embeddings/vectors using weighted word embeddings.
"""
def load(self, path):
# Ensure that vector path exists
if not path or not os.path.isfile(path):
raise IOError(ENOENT, "Vector model file not found", path)
# Load magnitude model. If this is a training run (uninitialized config), block until vectors are fully loaded
return Magnitude(path, case_insensitive=True, blocking=not self.initialized)
def index(self, documents):
ids, dimensions, stream = [], None, None
# Shared objects with Pool
args = (self.config, self.scoring)
# Convert all documents to embedding arrays, stream embeddings to disk to control memory usage
with Pool(os.cpu_count(), initializer=create, initargs=args) as pool:
with tempfile.NamedTemporaryFile(mode="wb", suffix=".npy", delete=False) as output:
stream = output.name
for uid, embedding in pool.imap(transform, documents):
if not dimensions:
# Set number of dimensions for embeddings
dimensions = embedding.shape[0]
ids.append(uid)
pickle.dump(embedding, output)
return (ids, dimensions, stream)
def transform(self, document):
# Convert to tokens if necessary
if isinstance(document[1], str):
document = (document[0], Tokenizer.tokenize(document[1]), document[2])
# Generate weights for each vector using a scoring method
weights = self.scoring.weights(document) if self.scoring else None
# pylint: disable=E1133
if weights and [x for x in weights if x > 0]:
# Build weighted average embeddings vector. Create weights array os float32 to match embeddings precision.
embedding = np.average(self.lookup(document[1]), weights=np.array(weights, dtype=np.float32), axis=0)
else:
# If no weights, use mean
embedding = np.mean(self.lookup(document[1]), axis=0)
return embedding
def lookup(self, tokens):
"""
Queries word vectors for given list of input tokens.
Args:
tokens: list of tokens to query
Returns:
word vectors array
"""
return self.model.query(tokens)
@staticmethod
def build(data, size, mincount, path):
"""
Builds fastText vectors from a file.
Args:
data: path to input data file
size: number of vector dimensions
mincount: minimum number of occurrences required to register a token
path: path to output file
"""
# Train on data file using largest dimension size
model = fasttext.train_unsupervised(data, dim=size, minCount=mincount)
# Output file path
print("Building %d dimension model" % size)
# Output vectors in vec/txt format
with open(path + ".txt", "w") as output:
words = model.get_words()
output.write("%d %d\n" % (len(words), model.get_dimension()))
for word in words:
# Skip end of line token
if word != "</s>":
vector = model.get_word_vector(word)
data = ""
for v in vector:
data += " " + str(v)
output.write(word + data + "\n")
# Build magnitude vectors database
print("Converting vectors to magnitude format")
converter.convert(path + ".txt", path + ".magnitude", subword=True)
| [
"[email protected]"
]
| |
31016d76561425d939332319e1c3c3f3630350a1 | 5808f74f1825919da58ae91829ff4516623eb79d | /2020/new_python_concepts/02_floats.py | 00d580b96499450bff11db1b8e67cafef9cebf04 | [
"MIT"
]
| permissive | hygull/stkovrflw | e2d78c8614b8d9646e3458926d71d13dfa75e2d4 | f341727c7e42b6e667345f12814ab1f2479f1b89 | refs/heads/master | 2023-07-19T11:56:45.818534 | 2022-03-19T18:13:47 | 2022-03-19T18:13:47 | 132,311,923 | 0 | 1 | MIT | 2023-07-16T21:27:08 | 2018-05-06T06:10:14 | Python | UTF-8 | Python | false | false | 254 | py | def func(p1: float, p2: float) -> float:
print(p1 + p2)
# return None
"""
floats.py:3: error: Incompatible return value type (got "None", expected "float")
Found 1 error in 1 file (checked 2 source files)
"""
return p1 + p2
| [
"[email protected]"
]
| |
17d1e40c434aaf3fc57628e1fe5cf9356c36542a | 97724145652ba49c5aacaf66d54a89f71c3f6426 | /10-Testing-Exercise/mammal/test/test_mammal.py | f7874ed1536182fc6484460f09845535d717ac08 | []
| no_license | l-damyanov/Python-OOP---February-2021 | c0d729c99d6af44a55ee7f7a05cf66fb6d69876b | e92417ed38f1b24405973b2027c11201d09ddb83 | refs/heads/main | 2023-03-31T07:45:09.347412 | 2021-04-01T20:24:27 | 2021-04-01T20:24:27 | 341,599,115 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 826 | py | import unittest
from mammal.project.mammal import Mammal
class TestMammal(unittest.TestCase):
def setUp(self):
self.mammal = Mammal("Test mammal", "predator", "roar")
def test_attr_set_up(self):
self.assertEqual("Test mammal", self.mammal.name)
self.assertEqual("predator", self.mammal.type)
self.assertEqual("roar", self.mammal.sound)
self.assertEqual(self.mammal._Mammal__kingdom, "animals")
def test_make_sound_return(self):
self.assertEqual("Test mammal makes roar", self.mammal.make_sound())
def test_get_kingdom_return(self):
self.assertEqual("animals", self.mammal.get_kingdom())
def test_info_return(self):
self.assertEqual("Test mammal is of type predator", self.mammal.info())
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
]
| |
da12d3c31d5a691fa0565cbeff1fae9483d8d99b | 93e9bbcdd981a6ec08644e76ee914e42709579af | /devide_and_conquer/315_Count_of_Smaller_Numbers_After_Self.py | e99b6ea88b209f2414fdefe3366889f075cf4bbd | []
| no_license | vsdrun/lc_public | 57aa418a8349629494782f1a009c1a8751ffe81d | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | refs/heads/master | 2020-05-31T11:23:28.448602 | 2019-10-02T21:00:57 | 2019-10-02T21:00:57 | 190,259,739 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,254 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
https://leetcode.com/problems/count-of-smaller-numbers-after-self/description/
You are given an integer array nums and you have to return a new counts array.
The counts array has the property where counts[i] is the number
of smaller elements to the right of nums[i].
Example:
Input: [5,2,6,1]
Output: [2,1,1,0]
Explanation:
To the right of 5 there are 2 smaller elements (2 and 1).
To the right of 2 there is only 1 smaller element (1).
To the right of 6 there is 1 smaller element (1).
To the right of 1 there is 0 smaller element.
"""
class Solution(object):
def countSmaller(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
def sort(enum):
half = len(enum) / 2
if half:
left, right = sort(enum[:half]), sort(enum[half:])
for i in range(len(enum))[::-1]:
if not right or left and left[-1][1] > right[-1][1]:
smaller[left[-1][0]] += len(right)
enum[i] = left.pop()
else:
enum[i] = right.pop()
return enum
smaller = [0] * len(nums)
sort(list(enumerate(nums)))
return smaller
def rewrite(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
"""
想法: 用merge sort
"""
result = [0] * len(nums)
def msort(enum):
half = len(enum) / 2
if half:
left = msort(enum[:half])
right = msort(enum[half:])
for idx in range(len(enum))[::-1]: # (4,3,2,1,0)
if (not right) or (left and left[-1][1] > right[-1][1]):
result[left[-1][0]] += len(right)
enum[idx] = left.pop()
else:
enum[idx] = right.pop()
return enum
msort(list(enumerate(nums))) # [(0, 3),(1,7),...]
return result
def build():
return [-1,-1]
return [5,2,6,1]
if __name__ == "__main__":
s = Solution()
print(s.countSmaller(build()))
print(s.rewrite(build()))
| [
"[email protected]"
]
| |
7e8eed3e3e234e712b3ae2ebb9a56d9680629cb5 | 64a955664b82be8ed149d01149b36a8aac626f8e | /chapter5/p5.py | 5ed71fd3dd2d87de56d123944936a15d519c8c03 | []
| no_license | JoelDavisP/Python-Practice-Book-Solutions | b60371590d8aaecab9de6ccad2bf2efb7a2f90ae | ea298d35e50d3719d5b0b841748abfd0c852cc95 | refs/heads/master | 2021-07-14T04:52:40.678170 | 2017-10-18T13:26:50 | 2017-10-18T13:26:50 | 105,724,396 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 652 | py | import os
import sys
def lines_py():
"""It compute the total number of lines of code in all python files
(.py extension) in a specified directory recursively. """
dname = sys.argv[1]
dpath = os.path.abspath(dname)
line_count = 0
for fpath,dnames,fnames in os.walk(dpath):
for i in fnames:
j = os.path.join(fpath,i)
if i.split('.')[1] == 'py':
fn = open(j, 'r')
for j in fn.readlines():
line_count += 1
yield line_count
y = lines_py()
while True:
print y.next()
| [
"[email protected]"
]
| |
e4ca53294f3bb722d6cea8e2f23af4c97b3e01e8 | cd781c114deb0ee56fcd8e35df038397ebf8dc09 | /Mid Exams/Array Modifier.py | 0beeaf038595a84c7b956ebade8230279bf00e54 | []
| no_license | GBoshnakov/SoftUni-Fund | 4549446c3bb355ff74c14d6071d968bde1886de5 | de9318caaf072a82a9be8c3dd4e74212b8edd79e | refs/heads/master | 2023-06-06T04:56:14.951452 | 2021-06-30T21:50:44 | 2021-06-30T21:50:44 | 381,817,178 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 624 | py | numbers = [int(n) for n in input().split()]
command = input()
while command != "end":
command = command.split()
action = command[0]
if action == "swap":
index_1 = int(command[1])
index_2 = int(command[2])
numbers[index_1], numbers[index_2] = numbers[index_2], numbers[index_1]
elif action == "multiply":
index_1 = int(command[1])
index_2 = int(command[2])
numbers[index_1] *= numbers[index_2]
elif action == "decrease":
for i in range(len(numbers)):
numbers[i] -= 1
command = input()
print(", ".join(list(map(str, numbers)))) | [
"[email protected]"
]
| |
ae794f51c213d3b803cc088b8c557a9b5dd56371 | b7b7342a7369117cb98de55f697153e875eecbbc | /example.py | 098d2dcfbcfa00aab247a6a943daee18f895b5ad | [
"MIT"
]
| permissive | zzygyx9119/nglesspy | 953a3ab084b7df72df522076b3cd094e4a02ba12 | 3cfa28ea8fe2fdc3c08ac80a5949844544489cc9 | refs/heads/master | 2022-11-18T20:38:45.927728 | 2020-07-16T19:56:42 | 2020-07-16T19:57:26 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | from ngless import NGLess
sc = NGLess.NGLess('0.0')
sc.import_('mocat', '0.0')
e = sc.env
e.sample = sc.load_mocat_sample_('testing')
@sc.preprocess_(e.sample, using='r')
def proc(bk):
bk.r = sc.substrim_(bk.r, min_quality=25)
sc.if_(sc.len_(bk.r) < 45,
sc.discard_)
e.mapped = sc.map_(e.sample, reference='hg19')
e.mapped = sc.select_(e.mapped, keep_if=['{mapped}'])
sc.write_(e.mapped, ofile='ofile.sam')
sc.run()
| [
"[email protected]"
]
| |
818ff902546aedaae8aaab629c81c725f1bf8b91 | a94e8b83bb2a4ccc1fffbd28dd18f8783872daab | /Mock CCC/Mock CCC19S2 Pusheens Puzzle Present.py | aec48957b55fe819a6e6614885614ac56d2f56d4 | []
| no_license | MowMowchow/Competitive-Programming | d679c1fe2d7d52940dc83a07dc8048922078704e | 0ec81190f6322e103c2ae0ad8c3935bd4cdfff46 | refs/heads/master | 2022-03-03T03:01:03.383337 | 2022-02-17T07:27:45 | 2022-02-17T07:27:45 | 184,678,148 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 329 | py | import sys
import math
n = int(sys.stdin.readline())
grid = [[int(x) for x in sys.stdin.readline().split()] for x in range(n)]
counter = 1
sublength = 0
for row in grid:
for curr in range(n-1):
if row[curr] != row[curr+1] - 1:
sublength += 1
break
#counter += 1
print(sublength) | [
"[email protected]"
]
| |
4e9cf1128c2b20e84ccb9cb2a506b60bd1d92535 | 4d4899e54a8a97fad2039350f16c50245a4e0810 | /source/todoapp/migrations/0003_task_full_description.py | 09595c6bfdf9b7d031b76dd1d3c8ead3665d189d | []
| no_license | UuljanAitnazarova/python_homework_45_To_do_list | f7f4925bff987d5a13e52b48f745a4bddb72c440 | 592bd5ad8ac61f1147e7bf5ffe49f899a9a0c7cd | refs/heads/master | 2023-03-12T12:28:24.234398 | 2021-03-04T08:52:25 | 2021-03-04T08:52:25 | 341,508,360 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 469 | py | # Generated by Django 3.1.7 on 2021-02-26 10:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('todoapp', '0002_auto_20210223_1242'),
]
operations = [
migrations.AddField(
model_name='task',
name='full_description',
field=models.TextField(default='полное описание задания'),
preserve_default=False,
),
]
| [
"[email protected]"
]
| |
b26307c5e31b8ab3a89d2da60b1358d6b3f6cf7a | c071eb46184635818e8349ce9c2a78d6c6e460fc | /system/python_stubs/-745935208/PyQt5/QtWidgets/QGraphicsObject.py | ecd995203686bcbec70e38142191c515aad5938a | []
| no_license | sidbmw/PyCharm-Settings | a71bc594c83829a1522e215155686381b8ac5c6e | 083f9fe945ee5358346e5d86b17130d521d1b954 | refs/heads/master | 2020-04-05T14:24:03.216082 | 2018-12-28T02:29:29 | 2018-12-28T02:29:29 | 156,927,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,227 | py | # encoding: utf-8
# module PyQt5.QtWidgets
# from C:\Users\siddh\AppData\Local\Programs\Python\Python37\lib\site-packages\PyQt5\QtWidgets.pyd
# by generator 1.146
# no doc
# imports
import PyQt5.QtCore as __PyQt5_QtCore
import PyQt5.QtGui as __PyQt5_QtGui
import sip as __sip
from .QGraphicsItem import QGraphicsItem
class QGraphicsObject(__PyQt5_QtCore.QObject, QGraphicsItem):
""" QGraphicsObject(parent: QGraphicsItem = None) """
def childEvent(self, *args, **kwargs): # real signature unknown
pass
def connectNotify(self, *args, **kwargs): # real signature unknown
pass
def contextMenuEvent(self, *args, **kwargs): # real signature unknown
pass
def customEvent(self, *args, **kwargs): # real signature unknown
pass
def disconnectNotify(self, *args, **kwargs): # real signature unknown
pass
def dragEnterEvent(self, *args, **kwargs): # real signature unknown
pass
def dragLeaveEvent(self, *args, **kwargs): # real signature unknown
pass
def dragMoveEvent(self, *args, **kwargs): # real signature unknown
pass
def dropEvent(self, *args, **kwargs): # real signature unknown
pass
def enabledChanged(self): # real signature unknown; restored from __doc__
""" enabledChanged(self) [signal] """
pass
def event(self, QEvent): # real signature unknown; restored from __doc__
""" event(self, QEvent) -> bool """
return False
def focusInEvent(self, *args, **kwargs): # real signature unknown
pass
def focusOutEvent(self, *args, **kwargs): # real signature unknown
pass
def grabGesture(self, Qt_GestureType, flags, Qt_GestureFlags=None, Qt_GestureFlag=None, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__
""" grabGesture(self, Qt.GestureType, flags: Union[Qt.GestureFlags, Qt.GestureFlag] = Qt.GestureFlags()) """
pass
def hoverEnterEvent(self, *args, **kwargs): # real signature unknown
pass
def hoverLeaveEvent(self, *args, **kwargs): # real signature unknown
pass
def hoverMoveEvent(self, *args, **kwargs): # real signature unknown
pass
def inputMethodEvent(self, *args, **kwargs): # real signature unknown
pass
def inputMethodQuery(self, *args, **kwargs): # real signature unknown
pass
def isSignalConnected(self, *args, **kwargs): # real signature unknown
pass
def itemChange(self, *args, **kwargs): # real signature unknown
pass
def keyPressEvent(self, *args, **kwargs): # real signature unknown
pass
def keyReleaseEvent(self, *args, **kwargs): # real signature unknown
pass
def mouseDoubleClickEvent(self, *args, **kwargs): # real signature unknown
pass
def mouseMoveEvent(self, *args, **kwargs): # real signature unknown
pass
def mousePressEvent(self, *args, **kwargs): # real signature unknown
pass
def mouseReleaseEvent(self, *args, **kwargs): # real signature unknown
pass
def opacityChanged(self): # real signature unknown; restored from __doc__
""" opacityChanged(self) [signal] """
pass
def parentChanged(self): # real signature unknown; restored from __doc__
""" parentChanged(self) [signal] """
pass
def prepareGeometryChange(self, *args, **kwargs): # real signature unknown
pass
def receivers(self, *args, **kwargs): # real signature unknown
pass
def rotationChanged(self): # real signature unknown; restored from __doc__
""" rotationChanged(self) [signal] """
pass
def scaleChanged(self): # real signature unknown; restored from __doc__
""" scaleChanged(self) [signal] """
pass
def sceneEvent(self, *args, **kwargs): # real signature unknown
pass
def sceneEventFilter(self, *args, **kwargs): # real signature unknown
pass
def sender(self, *args, **kwargs): # real signature unknown
pass
def senderSignalIndex(self, *args, **kwargs): # real signature unknown
pass
def timerEvent(self, *args, **kwargs): # real signature unknown
pass
def ungrabGesture(self, Qt_GestureType): # real signature unknown; restored from __doc__
""" ungrabGesture(self, Qt.GestureType) """
pass
def updateMicroFocus(self): # real signature unknown; restored from __doc__
""" updateMicroFocus(self) """
pass
def visibleChanged(self): # real signature unknown; restored from __doc__
""" visibleChanged(self) [signal] """
pass
def wheelEvent(self, *args, **kwargs): # real signature unknown
pass
def xChanged(self): # real signature unknown; restored from __doc__
""" xChanged(self) [signal] """
pass
def yChanged(self): # real signature unknown; restored from __doc__
""" yChanged(self) [signal] """
pass
def zChanged(self): # real signature unknown; restored from __doc__
""" zChanged(self) [signal] """
pass
def __init__(self, parent=None): # real signature unknown; restored from __doc__
pass
| [
"[email protected]"
]
| |
dbc6452150f8f06e22b66ac18298bc53ce7bdf3a | 8bb4a472344fda15985ac322d14e8f4ad79c7553 | /Python3-Core/src/main/prompto/runtime/WidgetField.py | 66b4317c7bea2bed240b1d845097bc99cc1af084 | []
| no_license | prompto/prompto-python3 | c6b356f5af30c6826730ba7f2ad869f341983a2d | 64bd3d97d4702cc912097d41d961f7ab3fd82bee | refs/heads/master | 2022-12-24T12:33:16.251468 | 2022-11-27T17:37:56 | 2022-11-27T17:37:56 | 32,623,633 | 4 | 0 | null | 2019-05-04T11:06:05 | 2015-03-21T07:17:25 | Python | UTF-8 | Python | false | false | 201 | py | from prompto.runtime.Variable import Variable
from prompto.type.IType import IType
class WidgetField(Variable):
def __init__(self, name: str, itype: IType):
super().__init__(name, itype) | [
"[email protected]"
]
| |
191484b45d9f5be8b3b00a8c2a6d15772c38782c | abc72a2f2072ab7a5a338e41d81c354324943b09 | /tarefa11/sugestao.py | 9c645d2ab609253931239f50b72395ec34a5b090 | []
| no_license | gigennari/mc102 | a3d39fd9a942c97ef477a9b59d7955f4269b202a | fce680d5188a8dfb0bc1832d6f430cbcaf68ef55 | refs/heads/master | 2023-04-05T01:40:58.839889 | 2020-07-27T20:33:56 | 2020-07-27T20:33:56 | 354,130,720 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,420 | py | """
Escreva um programa que, dadas duas palavras, sugere ao usuário qual será
a próxima palavra, tal que essa escolha seja baseada na probabilidade de que
essas três palavras apareçam nessa ordem em um determinado texto.
Entrada:
1ª linha - o caminho do arquivo de texto
2ª linha - sequência de pares de palavras, um por linha
Saída:
frase sugerida com 3 palavras, um trio por linha
Exemplo:
E:
testes/tetxto0.in
buraco negro
buracos negros
campo gravitacional
S:
buraco negro é
buracos negros não
campo gravitacional pode
Vamos criar uma classe com 3 palavras
"""
class Frase: #cria uma nova classe de abstração; coleção fixa de propriedades
def __init__(self, p1, p2, p3):
self.p1 = p1
self.p2 = p2
self.p3 = p3
def __repr__(self):
return "% s % s % s" % (self.p1, self.p2, self.p3)
def ler_entrada():
"""lê caminho do texto e duas palavras do texto por linha, formando uma lista de Frase"""
caminho = input()
lista = []
while True:
try:
palavras = input().split()
frase = Frase(palavras[0], palavras[1], "")
lista.append(frase)
except EOFError:
break
return caminho, lista
def ler_arquivo_texto(nome_do_arquivo):
"""lê arquivo de texto, chama função para limpar pontuação e transforma em lista"""
texto = open(nome_do_arquivo).read().lower()
texto = limpar_pontuacao(texto)
palavras = texto.split()
return palavras
def limpar_pontuacao(string):
pontuacao = ".,;:?!''/*#@&" #sem hifen
sem_pontucao = ""
for letra in string:
if letra not in pontuacao:
sem_pontucao += letra
return sem_pontucao
def descobrir_frequencias(palavras):
""" contar a frequencia de cada uma das palavras; devolve dict """
wordcount = {} #vamos usar um dict para armazenar a palavra e sua frequencia juntos
for palavra in palavras:
if palavra in wordcount:
wordcount[palavra] += 1
else:
wordcount[palavra] = 1
return wordcount
def encontrar_proxima_palavra(texto, frase):
"""procura todas as próximas palavras, adiciona em uma lista, conta frequencia (dict), frase.p3 = palavra de maior frequencia;
a mais frequente será a próxima"""
proximas = []
for i, palavra in enumerate(texto): #procura próximas palavras
if texto[i] == frase.p1:
if texto[i+1] == frase.p2:
seguinte = texto[i+2]
proximas.append(seguinte) #adiciona todas as palavras que aparecem depois das duas primeiras
#contar frequencia da lista --> dict --> dict.keys()
proximas_dict = descobrir_frequencias(proximas)
proximasordenadas = sorted(proximas_dict.items(), key=lambda a: a[0]) #devolve uma lista de tuplas (palavra, frequencia) em ordem alfabética
proximasordenadas.sort(key=lambda f: f[1], reverse=True) #ordena a lista em ordem decrescente
#frase.p3 = 1º elemento do dicionário
frase.p3 = proximasordenadas[0][0]
return frase
def main():
caminho, frases = ler_entrada()
texto = ler_arquivo_texto(caminho)
trios = []
for frase in frases:
frase_completa = encontrar_proxima_palavra(texto, frase)
trios.append(frase_completa)
for frase in trios:
print(frase)
main() | [
"[email protected]"
]
| |
2a8baba7315e41a92db6cbdea5ef52408fcb9143 | fd308ec9cb448c2b47ec4736b670ce452b70800d | /sdap/jobs/views.py | b66d02ed32f0fabf23b619815af97c5d649e5c8f | [
"MIT"
]
| permissive | umr1085-irset/reproGenomicsViewer | d4d8c52fbe72a1824812d2f5a7574be7ce58f9b5 | 700bbe817596b27a05ed75a8761506c5004f340f | refs/heads/master | 2023-05-25T01:55:42.333286 | 2023-05-15T10:02:54 | 2023-05-15T10:02:54 | 219,467,036 | 0 | 4 | MIT | 2022-02-11T09:44:32 | 2019-11-04T09:46:02 | JavaScript | UTF-8 | Python | false | false | 3,463 | py | import os
from datetime import datetime
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from django.views import generic
from django.utils import timezone
from django.views import View
from django.shortcuts import redirect
from django.conf import settings
from django.core.files.storage import FileSystemStorage
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from django.http import HttpResponse
from mimetypes import guess_type
from django.urls import reverse_lazy
from sdap.jobs.models import Job
from celery.result import AsyncResult
# Create your views here.
class IndexView(LoginRequiredMixin, generic.ListView):
template_name = 'analyse/index.html'
context_object_name = 'latest_analyse_list'
def get_queryset(self):
"""
Return the last five published questions (not including those set to be
published in the future).
"""
return Job.objects.filter(
created_at__lte=timezone.now()
).order_by('-created_at')[:5]
def DetailView(request, pk):
job = get_object_or_404(Job, pk=pk)
file_list = []
for file in os.listdir(job.output):
table_content=''
info = os.path.splitext(file)
if info[1] == ".matrix" or info[1] == ".tsv" or info[1] == ".info" or info[1] == ".list" :
df = pd.read_csv(os.path.join(job.output, file), sep="\t")
df_head = df.head()
table_content = df_head.to_html(classes=["table", "table-bordered", "table-striped", "table-hover"])
if info[1] == ".csv":
df = pd.read_csv(os.path.join(job.output, file), sep=",")
df_head = df.head()
table_content = df_head.to_html(classes=["table", "table-bordered", "table-striped", "table-hover"])
file_list.append({'name':info[0],'ext':info[1], 'table':table_content, 'file':file, 'path':os.path.join(job.output, file)})
context = {'job':job, 'file_list':file_list}
return render(request, 'jobs/results.html', context)
def DownloadView(request, pk, file_name):
job = get_object_or_404(Job, pk=pk)
file_path = os.path.join(job.output, file_name)
with open(file_path, 'rb') as f:
response = HttpResponse(f, content_type=guess_type(file_path)[0])
response['Content-Length'] = len(response.content)
return response
class RunningJobsView(LoginRequiredMixin, generic.ListView):
model = Job
template_name = 'jobs/running_jobs.html'
def get_context_data(self, **kwargs):
context = super(RunningJobsView, self).get_context_data(**kwargs)
context['jobs_list'] = Job.objects.filter(created_by__exact=self.request.user.id)
for job in context['jobs_list']:
if job.status != "SUCCESS":
job.status = AsyncResult(job.celery_task_id).state
job.save()
return context
def Delete_job(request, pk):
job = get_object_or_404(Job, pk=pk)
print(job)
job.delete()
context = {}
context['jobs_list'] = Job.objects.filter(created_by__exact=request.user.id)
for job in context['jobs_list']:
if job.status != "SUCCESS":
job.status = AsyncResult(job.celery_task_id).state
job.save()
return render(request, 'jobs/running_jobs.html', context) | [
"[email protected]"
]
| |
f555c688d0fc632999966fdd07767c457fa0ab21 | be12916ec075c76469946f6da2cdde4857141702 | /771_2.py | 3c283b6a4ace661e675538e93277637a7552e724 | []
| no_license | goodsosbva/algorithm | 7b2f9b1a899e43c7d120ab9d40e672be336a23d9 | 0bc44e9466d2d32a4b4e126e073badc60172da6e | refs/heads/main | 2023-08-06T19:34:40.630006 | 2021-09-20T10:34:41 | 2021-09-20T10:34:41 | 334,918,056 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 361 | py | import collections
def newJewelsInStones(J: str, S: str) -> int:
freqs = collections.Counter(S) # 돌(S) 빈도 수 계산
count = 0
# 비교 없이 보석(j) 빈도 수 계산
for char in J:
count += freqs[char]
return count
jew = "aA"
stone = "aAAbbbb"
jcount = newJewelsInStones(jew, stone)
print(jcount) | [
"[email protected]"
]
| |
12e27a1ffb5b0c67c43f8b2c732fb638e6d2fa70 | 6b5431368cb046167d71c1f865506b8175127400 | /challenges/n-primeiros-numeros-primos/tests.py | f921a7fcdf0065d0389c1479673886c2e732c226 | []
| no_license | Insper/design-de-software-exercicios | e142f4824a57c80f063d617ace0caa0be746521e | 3b77f0fb1bc3d76bb99ea318ac6a5a423df2d310 | refs/heads/master | 2023-07-03T12:21:36.088136 | 2021-08-04T16:18:03 | 2021-08-04T16:18:03 | 294,813,936 | 0 | 1 | null | 2021-08-04T16:18:04 | 2020-09-11T21:17:24 | Python | UTF-8 | Python | false | false | 910 | py | from strtest import str_test
def eh_primo_gabarito(n):
if n == 2:
return True
if n == 0 or n == 1 or n % 2 == 0:
return False
d = 3
while d < n:
if n % d == 0:
return False
d += 2
return True
def gabarito_dos_professores(n):
encontrados = 0
i = 2
primos = []
while encontrados < n:
if eh_primo_gabarito(i):
primos.append(i)
encontrados += 1
i += 1
return primos
class TestCase(str_test.TestCaseWrapper):
TIMEOUT = 2
def test_1(self):
n = 100
primos = gabarito_dos_professores(n)
retval = self.function(n)
self.assertEqual(n, len(retval), 'Deveria ter exatamente n números primos')
for primo, returned in zip(primos, retval):
self.assertEqual(primo, returned, 'Não retornou os n primeiros primeos em ordem crescente')
| [
"[email protected]"
]
| |
92fa4c4cee9bfd46c826875c760c60269d31c06f | fcdbf22231739b61bbd4da531fcacf0c6f08c4bf | /services/lasso_regression/prod.config.py | 0ba5c9b0f0b2531fae1cba7e4b5ac173809e1241 | []
| no_license | revotechUET/wi-uservice | 2a3f169a4a9735bb3167d8bef75baceab11b2a04 | 33f2ad2f0a329fc1f54153b0ebb775f2bd74d631 | refs/heads/master | 2023-04-15T14:58:36.183521 | 2023-04-07T09:39:48 | 2023-04-07T09:39:48 | 179,446,650 | 0 | 1 | null | 2022-12-08T01:51:59 | 2019-04-04T07:39:07 | Python | UTF-8 | Python | false | false | 1,939 | py | import os
import multiprocessing
bind = '0.0.0.0:80'
backlog = 2048
workers = multiprocessing.cpu_count()
worker_class = 'sync' or os.environ.get("WORKER_CLASS")
worker_connections = 1000
timeout = 30
keepalive = 2
reload = False
spew = False
daemon = False
raw_env = [
"DB_HOST="+os.environ.get("DB_HOST", "127.0.0.1"),
"DB_PORT="+os.environ.get("DB_PORT", "27017"),
"DB_NAME="+os.environ.get("DB_NAME", "wi_regression"),
"MODEL_DIR="+os.path.join(os.getcwd(), "static"),
]
if os.environ.get("DB_USER"):
raw_env.append("DB_USER="+os.environ.get("DB_USER"))
raw_env.append("DB_PASS="+os.environ.get("DB_PASS"))
pidfile = "/tmp/lasso.pid"
umask = 0
user = None
group = None
tmp_upload_dir = None
errorlog = '-'
loglevel = 'error'
accesslog = '/var/log/wi_regression.access.log'
access_log_format = '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s"'
proc_name = None
def post_fork(server, worker):
server.log.info("Worker spawned (pid: %s)", worker.pid)
def pre_fork(server, worker):
pass
def pre_exec(server):
server.log.info("Forked child, re-executing.")
def when_ready(server):
server.log.info("Server is ready. Spawning workers")
def worker_int(worker):
worker.log.info("worker received INT or QUIT signal")
## get traceback info
import threading, sys, traceback
id2name = {th.ident: th.name for th in threading.enumerate()}
code = []
for threadId, stack in sys._current_frames().items():
code.append("\n# Thread: %s(%d)" % (id2name.get(threadId,""),
threadId))
for filename, lineno, name, line in traceback.extract_stack(stack):
code.append('File: "%s", line %d, in %s' % (filename,
lineno, name))
if line:
code.append(" %s" % (line.strip()))
worker.log.debug("\n".join(code))
def worker_abort(worker):
worker.log.info("Worker received SIGABRT signal")
| [
"[email protected]"
]
| |
498c7a424a202f8d8629df7baa5c9d2d5e91499c | 9b9a02657812ea0cb47db0ae411196f0e81c5152 | /repoData/chrisglass-django-rulez/allPythonContent.py | a90e7aa3a09934bbd17fa7fa477a3eb695a70f59 | []
| no_license | aCoffeeYin/pyreco | cb42db94a3a5fc134356c9a2a738a063d0898572 | 0ac6653219c2701c13c508c5c4fc9bc3437eea06 | refs/heads/master | 2020-12-14T14:10:05.763693 | 2016-06-27T05:15:15 | 2016-06-27T05:15:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 33,902 | py | __FILENAME__ = backends
# -*- coding: utf-8 -*-
import inspect
from exceptions import NotBooleanPermission
from exceptions import NonexistentFieldName
from rulez import registry
class ObjectPermissionBackend(object):
supports_object_permissions = True
supports_anonymous_user = True
supports_inactive_user = True
def authenticate(self, username, password): # pragma: no cover
return None
def has_perm(self, user_obj, perm, obj=None):
"""
This method checks if the user_obj has perm on obj. Returns True or False
Looks for the rule with the code_name = perm and the content_type of the obj
If it exists returns the value of obj.field_name or obj.field_name() in case
the field is a method.
"""
if user_obj and not user_obj.is_anonymous() and not user_obj.is_active:
# inactive users never have permissions
return False
if obj is None:
return False
# We get the rule data from our registry
rule = registry.get(perm, obj.__class__)
if rule == None:
return False
bound_field = None
try:
bound_field = getattr(obj, rule.field_name)
except AttributeError:
raise NonexistentFieldName(
"Field_name %s from rule %s does not longer exist in model %s. \
The rule is obsolete!", (rule.field_name,
rule.codename,
rule.model))
if not callable(bound_field):
raise NotBooleanPermission(
"Attribute %s from model %s on rule %s is not callable",
(rule.field_name, rule.model, rule.codename))
# Otherwise it is a callabe bound_field
# Let's see if we pass or not user_obj as a parameter
if (len(inspect.getargspec(bound_field)[0]) == 2):
is_authorized = bound_field(user_obj)
else:
is_authorized = bound_field()
if not isinstance(is_authorized, bool):
raise NotBooleanPermission(
"Callable %s from model %s on rule %s does not return a \
boolean value", (rule.field_name, rule.model, rule.codename))
return is_authorized
########NEW FILE########
__FILENAME__ = exceptions
# -*- coding: utf-8 -*-
"""
Exceptions used by django-rules. All internal and rules-specific errors
should extend RulesError class
"""
class RulesException(Exception):
pass
class NonexistentPermission(RulesException):
pass
class NonexistentFieldName(RulesException):
pass
class NotBooleanPermission(RulesException):
pass
########NEW FILE########
__FILENAME__ = models
# -*- coding: utf-8 -*-
import rolez.signals
########NEW FILE########
__FILENAME__ = registry
# -*- coding: utf-8 -*-
from rulez.exceptions import NonexistentFieldName
from collections import defaultdict
class Rule(object):
def __init__(self, codename, model, field_name='', view_param_pk='',
description=''):
self.field_name = field_name
self.description = description
self.codename = codename
self.model = model
self.view_param_pk = view_param_pk
registry = defaultdict(dict)
def register(codename, model, field_name='', view_param_pk='', description=''):
"""
This should be called from your models.py or wherever after your models are
declared (think admin registration)
"""
# Sanity check
if not field_name:
field_name = codename
if not hasattr(model,field_name):
raise NonexistentFieldName('Field %s does not exist on class %s' % (field_name,model.__name__))
registry[model].update({codename : Rule(codename, model, field_name,
view_param_pk, description)})
def get(codename, model):
return registry.get(model, {}).get(codename, None)
########NEW FILE########
__FILENAME__ = base
#-*- coding: utf-8 -*-
class AbstractRole(object):
"""
This is an abstract class to show what a role should look like
"""
@classmethod
def is_member(cls, user, obj): #pragma: nocover
raise NotImplemented
########NEW FILE########
__FILENAME__ = cache_helper
#-*- coding: utf-8 -*-
from django.contrib.auth.models import User, AnonymousUser
from django.core.cache import cache
from rulez.exceptions import RulesException
import time
"""
Cache keys:
For the list of roles, per user, per instance:
<prefix>-<user.id>-<user counter>-<obj.type>-<obj.id>-<obj counter>
For the counter , per instance:
<prefix>-<obj.type>-<obj.id>
"""
HOUR = 60*60
#===============================================================================
# Counter handling
#===============================================================================
def counter_key(obj):
if obj.__class__ in (User, AnonymousUser,):
pk = get_user_pk(obj)
else:
pk = obj.pk
obj_type = str(obj.__class__.__name__).lower()
return "%s-%s" % (obj_type, pk)
def increment_counter(obj):
"""
Invalidate the cache for the passed object.
"""
if obj is not None: # If the object is None, do nothing (it's pointless)
cache.set(counter_key(obj), int(time.time()), 1*HOUR)
def get_counter(obj):
"""
Returns the cached counter for the given object instance
"""
counter = cache.get(counter_key(obj))
if not counter:
counter = 0
return counter
def roles_key(user, obj):
if obj.__class__ in (User, AnonymousUser,):
obj_id = get_user_pk(obj)
else:
obj_id = obj.pk
obj_type = str(obj.__class__.__name__).lower()
obj_counter = get_counter(obj)
user_id = get_user_pk(user)
user_counter = get_counter(user)
return "%s-%s-%s-%s-%s" % (user_id, user_counter, obj_type, obj_id,
obj_counter)
def get_user_pk(user):
if not user or (user and user.is_anonymous()):
return 'anonymous'
else:
return user.pk
#===============================================================================
# Main function
#===============================================================================
def get_roles(user, obj):
"""
Get a list of roles assigned to a user for a specific instance from the
cache, or builds such a list if it is not found.
"""
# get roles for the user, if present:
roles = cache.get(roles_key(user, obj))
if isinstance(roles, list):
# Cache hit (a miss returns NoneType rather than an empty list)
return roles
else:
# we need to recompute roles for this model
user_roles = []
if not hasattr(obj, 'relevant_roles'):
raise RulesException(
'Cannot build roles cache for %s instance. Did you forget to \
define a "relevant_roles()" method on %s?' % (obj.__class__,
obj.__class__))
relevant = obj.relevant_roles()
for role in relevant:
if role.is_member(user, obj):
user_roles.append(role)
cache.set(roles_key(user, obj), user_roles, 1*HOUR)
return user_roles
########NEW FILE########
__FILENAME__ = models
#-*- coding: utf-8 -*-
from rulez.rolez.cache_helper import get_roles, get_user_pk, increment_counter
class ModelRoleMixin(object):
"""
This adds roles-handling methods to the model it's mixed with
"""
def get_roles(self, user):
"""
Gets all roles this user has for this object and caches it on the
instance.
Without the instance cache every call to has_role() would hit the
cache backend.
"""
rolez = getattr(self, '_rolez', {})
pk = get_user_pk(user)
if not pk in rolez.keys():
rolez[pk] = get_roles(user, self)
self._rolez = rolez
return self._rolez[pk]
def has_role(self, user, role):
"""
Checks wether the passed user is a member of the passed role for the
passed instance
"""
roles = self.get_roles(user)
if role in roles:
return True
return False
def relevant_roles(self):
"""
Returns a list of roles *classes* relevant to this instance type.
This is to optimise the building of the user's roles in case of cache
miss
"""
return self.roles
def rulez_invalidate(self):
"""
This is the default, simple case where the model is related to user, and
so invalidating it will force connected users to recalculate their keys
In some cases you will want to invalidate the related objects here by
incrementing counters for other models in your application
"""
increment_counter(self)
########NEW FILE########
__FILENAME__ = signals
#-*- coding: utf-8 -*-
from django.db.models import signals
def should_we_invalidate_rolez(sender, instance, **kwargs):
if hasattr(instance, 'rulez_invalidate'):
instance.rulez_invalidate()
signals.post_save.connect(should_we_invalidate_rolez)
signals.post_delete.connect(should_we_invalidate_rolez)
########NEW FILE########
__FILENAME__ = rulez_perms
from django import template
register = template.Library()
class RulezPermsNode(template.Node):
def __init__(self, codename, objname, varname):
self.codename = codename
self.objname = objname
self.varname = varname
def render(self, context):
user_obj = template.resolve_variable('user', context)
obj = template.resolve_variable(self.objname, context)
context[self.varname] = user_obj.has_perm(self.codename, obj)
return ''
def rulez_perms(parser, token):
'''
Template tag to check for permission against an object.
Built out of a need to use permissions with anonymous users at an
object level.
Usage:
{% load rulez_perms %}
{% for VARNAME in QUERYRESULT %}
{% rulez_perms CODENAME VARNAME as BOOLEANVARNAME %}
{% if BOOLEANVARNAME %}
I DO
{% else %}
I DON'T
{% endif %}
have permission for {{ VARNAME }}.{{ CODENAME }}!!
{% endfor %}
'''
bits = token.split_contents()
if len(bits) != 5:
raise template.TemplateSyntaxError(
'tag requires exactly three arguments')
if bits[3] != 'as':
raise template.TemplateSyntaxError(
"third argument to tag must be 'as'")
return RulezPermsNode(bits[1], bits[2], bits[4])
rulez_perms = register.tag(rulez_perms)
########NEW FILE########
__FILENAME__ = backend
#-*- coding: utf-8 -*-
from django.test.testcases import TestCase
from rulez import registry
from rulez.backends import ObjectPermissionBackend
from rulez.exceptions import NonexistentFieldName, NotBooleanPermission
from rulez.registry import Rule
class MockModel():
pk = 999
not_callable = 'whatever'
def __init__(self):
self.attr_permission = True
self.attr_wrong_permission = "I'm not a boolean"
def mock_permission(self, user):
return True
def mock_simple_permission(self):
# just a callable, no "user" parameter
return True
def mock_non_boolean_permission(self, user):
return "Whatever"
class MockUser():
def __init__(self, is_active=True):
self.pk=666
self.is_active = is_active
def is_anonymous(self):
return False
class BackendTestCase(TestCase):
def create_fixtures(self):
self.user = MockUser()
self.inactive_user = MockUser(is_active=False)
self.model = MockModel()
def test_user_is_tested_for_rule(self):
self.create_fixtures()
registry.register('mock_permission', MockModel)
back = ObjectPermissionBackend()
res = back.has_perm(self.user, 'mock_permission', self.model)
self.assertEqual(res, True)
def test_rules_returns_False_for_None_obj(self):
self.create_fixtures()
registry.register('mock_permission', MockModel)
back = ObjectPermissionBackend()
res = back.has_perm(self.user, 'mock_permission', None)
self.assertEqual(res, False)
def test_rules_returns_False_for_inexistant_rule(self):
self.create_fixtures()
registry.register('mock_permission', MockModel)
back = ObjectPermissionBackend()
res = back.has_perm(self.user, 'whatever_permission', self.model)
self.assertEqual(res, False)
def test_user_is_tested_for_simple_rule(self):
self.create_fixtures()
registry.register('mock_simple_permission', MockModel)
back = ObjectPermissionBackend()
res = back.has_perm(self.user, 'mock_simple_permission', self.model)
self.assertEqual(res, True)
def test_user_is_tested_for_simple_rule_by_field_name(self):
self.create_fixtures()
registry.register(
'mock_permission', MockModel, field_name='mock_simple_permission')
back = ObjectPermissionBackend()
res = back.has_perm(self.user, 'mock_permission', self.model)
self.assertEqual(res, True)
def test_non_existant_filenames_are_caught(self):
self.create_fixtures()
codename = 'mock_permission'
rule = Rule(codename, MockModel, field_name='I_do_not_exist')
registry.registry[MockModel].update({codename : rule})
back = ObjectPermissionBackend()
self.assertRaises(
NonexistentFieldName, back.has_perm, self.user, 'mock_permission',
self.model)
def test_inactive_user_can_never_have_any_permissions(self):
self.create_fixtures()
registry.register('mock_permission', MockModel)
back = ObjectPermissionBackend()
res = back.has_perm(self.inactive_user, 'mock_permission', self.model)
self.assertEqual(res, False)
def test_non_boolean_permissions_raises(self):
self.create_fixtures()
registry.register('mock_non_boolean_permission', MockModel)
back = ObjectPermissionBackend()
self.assertRaises(
NotBooleanPermission, back.has_perm, self.user,
'mock_non_boolean_permission', self.model)
def test_non_callable_permission_raises(self):
self.create_fixtures()
registry.register('not_callable', MockModel)
back = ObjectPermissionBackend()
self.assertRaises(
NotBooleanPermission, back.has_perm, self.user,
'not_callable', self.model)
########NEW FILE########
__FILENAME__ = registry
#-*- coding: utf-8 -*-
from django.test.testcases import TestCase
from rulez import registry
from rulez.exceptions import NonexistentFieldName
class MockModel():
pk = 999
def mock_permission(self):
return True
class MockUser():
def __init__(self):
self.pk=666
def is_anonymous(self):
return False
class RegistryTestCase(TestCase):
def test_rule_is_registered(self):
registry.register('mock_permission', MockModel)
# if it's been registered properly we should be able to get() something
res = registry.get('mock_permission', MockModel)
self.assertNotEqual(res, None)
self.assertNotEqual(res, {})
def test_registration_raises_non_existant_field_names(self):
self.assertRaises(NonexistentFieldName, registry.register,
'mock_permission', MockModel, field_name='inexistant'
)
########NEW FILE########
__FILENAME__ = roles_helpers
#-*- coding: utf-8 -*-
from __future__ import with_statement
from django.contrib.auth.models import AnonymousUser, User
from django.core import cache
from django.test.testcases import TestCase
from rulez.exceptions import RulesException
from rulez.rolez.base import AbstractRole
from rulez.rolez.cache_helper import get_counter, increment_counter, get_roles, \
get_user_pk, roles_key
from rulez.rolez.models import ModelRoleMixin
class Mock():
pk = 999
class MockUser():
def __init__(self):
self.pk=666
def is_anonymous(self):
return False
# Testing the model inheritence
class Tester(AbstractRole):
@classmethod
def is_member(cls, user, obj):
return getattr(user, 'member', False)
class TestModel(ModelRoleMixin):
pk = 1 # Just to emulate a Django model
roles = [Tester]
# The actual test case
class RolesCacheHelperTestCase(TestCase):
def setUp(self):
cache.cache.clear()
def test_incrementing_counter_works(self):
obj = Mock()
first = get_counter(obj)
self.assertEqual(first, 0)
increment_counter(obj)
second = get_counter(obj)
self.assertNotEqual(second, first)
def test_incrementing_counter_works_for_none(self):
increment_counter(None)
def test_get_roles_for_None_raises(self):
with self.assertRaises(AttributeError):
res = get_counter(None)
self.assertEqual(res, None)
def test_rulez_invalidate_works(self):
model = TestModel()
user = MockUser()
first = get_counter(model)
self.assertEqual(first, 0)
model.rulez_invalidate()
second = get_counter(model)
self.assertNotEqual(second, first)
def test_get_empty_roles_works(self):
model = TestModel()
user = MockUser()
res = get_roles(user, model)
self.assertEqual(res, [])
def test_user_with_role_works(self):
# Now let's make the user a member!
model = TestModel()
user = MockUser()
setattr(user, 'member', True)
res = get_roles(user, model)
self.assertEqual(len(res), 1)
def test_get_roles_cache_works(self):
# Now let's assert the cache works.
model = TestModel()
user = MockUser()
setattr(user, 'member', True)
res = get_roles(user, model)
self.assertEqual(len(res), 1)
res2 = get_roles(user, model)
self.assertEqual(len(res2), 1)
self.assertEqual(res, res2)
def test_has_role_works(self):
model = TestModel()
user = MockUser()
setattr(user, 'member', True)
res = model.has_role(user, Tester)
self.assertEqual(res, True)
def test_has_role_caches_on_instance(self):
model = TestModel()
user = MockUser()
setattr(user, 'member', True)
self.assertFalse(hasattr(model, "_rolez"))
res = model.has_role(user, Tester)
self.assertEqual(res, True)
self.assertTrue(hasattr(model, "_rolez"))
self.assertEqual(1, len(model._rolez))
res = model.has_role(user, Tester)
self.assertEqual(res, True)
self.assertTrue(hasattr(model, "_rolez"))
self.assertEqual(1, len(model._rolez))
def test_doesnt_have_role_works(self):
model = TestModel()
user = MockUser()
res = model.has_role(user, Tester)
self.assertEqual(res, False)
def test_get_anonymous_user_works(self):
anon = AnonymousUser()
res = get_user_pk(anon)
self.assertEqual(res, 'anonymous')
def test_get_roles_works_for_anonymous(self):
model = TestModel()
user = AnonymousUser()
res = model.has_role(user, Tester)
self.assertEqual(res, False)
def test_get_counter_does_not_return_spaces(self):
obj = Mock()
user = MockUser()
roles_key(user, obj) # The first time, the counter == 0
increment_counter(obj) # Now there should be a timestamp
res = roles_key(user, obj)
self.assertTrue(' ' not in res)
def test_roles_for_users_on_users_raises_without_relevant_roles(self):
# If for some reasons you want to enforce rules on users...
django_user = User.objects.create(username="test",
email="[email protected]",
first_name="Test",
last_name = "Tester")
user = MockUser() # That's faster
setattr(user, 'member', True)
with self.assertRaises(RulesException):
res = get_roles(user, django_user)
self.assertEqual(len(res), 1)
def test_roles_for_users_on_users_works_with_relevant_roles(self):
# If for some reasons you want to enforce rules on users...
django_user = User.objects.create(username="test",
email="[email protected]",
first_name="Test",
last_name = "Tester")
setattr(django_user, 'relevant_roles', lambda : [Tester])
user = MockUser() # That's faster
setattr(user, 'member', True)
res = get_roles(user, django_user)
self.assertEqual(len(res), 1)
########NEW FILE########
__FILENAME__ = signals
#-*- coding: utf-8 -*-
from django.test.testcases import TestCase
from rulez.rolez.signals import should_we_invalidate_rolez
class MockInstance(object):
def __init__(self):
self.called = False
def rulez_invalidate(self):
self.called = True
class SignalsTestCase(TestCase):
def test_handling_forwards_properly(self):
inst = MockInstance()
should_we_invalidate_rolez(self, inst)
self.assertEqual(inst.called, True)
########NEW FILE########
__FILENAME__ = templatetags
#-*- coding: utf-8 -*-
from django.test.testcases import TestCase
from django.contrib.auth.models import AnonymousUser, User
from django.template import Template, Context, TemplateSyntaxError
from rulez import registry
from rulez.tests.backend import MockUser
class MockModel(object):
pk = 999
def mock_positive_permission(self, user):
return True
def mock_negative_permission(self, user):
return False
class TemplatetagTestCase(TestCase):
def create_fixtures(self):
self.user = MockUser()
self.inactive_user = MockUser(is_active=False)
self.model = MockModel()
def render_template(self, template, context):
context = Context(context)
return Template(template).render(context)
def assertYesHeCan(self, permission, user):
registry.register(permission, MockModel)
rendered = self.render_template(
"{% load rulez_perms %}"
"{% rulez_perms " + permission + " object as can %}"
"{% if can %}yes he can{% else %}no can do{% endif %}",
{
"user": user,
"object": MockModel()
}
)
self.assertEqual(rendered, "yes he can")
def assertNoHeCant(self, permission, user):
registry.register(permission, MockModel)
rendered = self.render_template(
"{% load rulez_perms %}"
"{% rulez_perms " + permission + " object as can %}"
"{% if can %}yes he can{% else %}no he can't{% endif %}",
{
"user": user,
"object": MockModel()
}
)
self.assertEqual(rendered, "no he can't")
def test_active_user_against_positive_permission(self):
self.assertYesHeCan("mock_positive_permission", User(is_active=True))
def test_active_user_for_negative_permission(self):
self.assertNoHeCant("mock_negative_permission", User(is_active=True))
def test_inactive_user_against_positive_permission(self):
self.assertNoHeCant("mock_positive_permission", User(is_active=False))
def test_inactive_user_against_negative_permission(self):
self.assertNoHeCant("mock_negative_permission", User(is_active=False))
def test_anonymous_user_against_positive_permission(self):
self.assertYesHeCan("mock_positive_permission", AnonymousUser())
def test_anonymous_user_against_negative_permission(self):
self.assertNoHeCant("mock_negative_permission", AnonymousUser())
def test_active_user_against_missing_permission(self):
permission = "missing"
rendered = self.render_template(
"{% load rulez_perms %}"
"{% rulez_perms " + permission + " object as can %}"
"{% if can %}yes he can{% else %}no he can't{% endif %}",
{
"user": User(is_active=True),
"object": MockModel()
}
)
self.assertEqual(rendered, "no he can't")
def test_invalid_user(self):
self.assertRaisesRegexp((TemplateSyntaxError, AttributeError),
"'NoneType' object has no attribute 'has_perm'",
self.render_template,
"{% load rulez_perms %}{% rulez_perms mock_positive_permission object as can %}", {
"object": MockModel(), "user": None
})
def test_tag_syntax(self):
registry.register("mock_positive_permission", MockModel)
# TODO: error messages from template tag a bit are confusing.
self.assertRaisesRegexp(TemplateSyntaxError, "tag requires exactly three arguments", self.render_template,
"{% load rulez_perms %}{% rulez_perms mock_positive_permission object %}", {})
self.assertRaisesRegexp(TemplateSyntaxError, "tag requires exactly three arguments", self.render_template,
"{% load rulez_perms %}{% rulez_perms mock_positive_permission object can %}", {})
self.assertRaisesRegexp(TemplateSyntaxError, "third argument to tag must be 'as'", self.render_template,
"{% load rulez_perms %}{% rulez_perms mock_positive_permission object can can %}", {})
########NEW FILE########
__FILENAME__ = manage
#!/usr/bin/env python
from django.core.management import execute_manager
import imp
#Added for test runner
import os, sys
sys.path.insert(0, os.path.abspath('./../../'))
try:
imp.find_module('settings') # Assumed to be in the same directory.
except ImportError:
import sys
sys.stderr.write("Error: Can't find the file 'settings.py' in the directory containing %r. It appears you've customized things.\nYou'll have to run django-admin.py, passing it your settings module.\n" % __file__)
sys.exit(1)
import settings
if __name__ == "__main__":
execute_manager(settings)
########NEW FILE########
__FILENAME__ = models
# -*- coding: utf-8 -*-
########NEW FILE########
__FILENAME__ = tests
"""
This file demonstrates writing tests using the unittest module. These will pass
when you run "manage.py test".
Replace this with more appropriate tests for your application.
"""
from django.test import TestCase
class SimpleTest(TestCase):
def test_basic_addition(self):
"""
Tests that 1 + 1 always equals 2.
"""
self.assertEqual(1 + 1, 2)
########NEW FILE########
__FILENAME__ = views
# Create your views here.
########NEW FILE########
__FILENAME__ = settings
# Django settings for testapp project.
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', '[email protected]'),
)
MANAGERS = ADMINS
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3', # Add 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'.
'NAME': 'test.database', # Or path to database file if using sqlite3.
'USER': '', # Not used with sqlite3.
'PASSWORD': '', # Not used with sqlite3.
'HOST': '', # Set to empty string for localhost. Not used with sqlite3.
'PORT': '', # Set to empty string for default. Not used with sqlite3.
}
}
# Local time zone for this installation. Choices can be found here:
# http://en.wikipedia.org/wiki/List_of_tz_zones_by_name
# although not all choices may be available on all operating systems.
# On Unix systems, a value of None will cause Django to use the same
# timezone as the operating system.
# If running in a Windows environment this must be set to the same as your
# system time zone.
TIME_ZONE = 'America/Chicago'
# Language code for this installation. All choices can be found here:
# http://www.i18nguy.com/unicode/language-identifiers.html
LANGUAGE_CODE = 'en-us'
SITE_ID = 1
# If you set this to False, Django will make some optimizations so as not
# to load the internationalization machinery.
USE_I18N = True
# If you set this to False, Django will not format dates, numbers and
# calendars according to the current locale
USE_L10N = True
# Absolute filesystem path to the directory that will hold user-uploaded files.
# Example: "/home/media/media.lawrence.com/media/"
MEDIA_ROOT = ''
# URL that handles the media served from MEDIA_ROOT. Make sure to use a
# trailing slash.
# Examples: "http://media.lawrence.com/media/", "http://example.com/media/"
MEDIA_URL = ''
# Absolute path to the directory static files should be collected to.
# Don't put anything in this directory yourself; store your static files
# in apps' "static/" subdirectories and in STATICFILES_DIRS.
# Example: "/home/media/media.lawrence.com/static/"
STATIC_ROOT = ''
# URL prefix for static files.
# Example: "http://media.lawrence.com/static/"
STATIC_URL = '/static/'
# URL prefix for admin static files -- CSS, JavaScript and images.
# Make sure to use a trailing slash.
# Examples: "http://foo.com/static/admin/", "/static/admin/".
ADMIN_MEDIA_PREFIX = '/static/admin/'
# Additional locations of static files
STATICFILES_DIRS = (
# Put strings here, like "/home/html/static" or "C:/www/django/static".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
)
# List of finder classes that know how to find static files in
# various locations.
STATICFILES_FINDERS = (
'django.contrib.staticfiles.finders.FileSystemFinder',
'django.contrib.staticfiles.finders.AppDirectoriesFinder',
# 'django.contrib.staticfiles.finders.DefaultStorageFinder',
)
# Make this unique, and don't share it with anybody.
SECRET_KEY = 'o(ifwru@r&@i!g!%_w85_*oveey7iq3hoq1hfvd^e6(25gd+t2'
# List of callables that know how to import templates from various sources.
TEMPLATE_LOADERS = (
'django.template.loaders.filesystem.Loader',
'django.template.loaders.app_directories.Loader',
# 'django.template.loaders.eggs.Loader',
)
MIDDLEWARE_CLASSES = (
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
)
ROOT_URLCONF = 'testapp.urls'
TEMPLATE_DIRS = (
# Put strings here, like "/home/html/django_templates" or "C:/www/django/templates".
# Always use forward slashes, even on Windows.
# Don't forget to use absolute paths, not relative paths.
)
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.sites',
'django.contrib.messages',
'django.contrib.staticfiles',
# Uncomment the next line to enable the admin:
# 'django.contrib.admin',
# Uncomment the next line to enable admin documentation:
# 'django.contrib.admindocs',
'rulez', # The actual rulez package
'project', # import the test app too
)
# A sample logging configuration. The only tangible logging
# performed by this configuration is to send an email to
# the site admins on every HTTP 500 error.
# See http://docs.djangoproject.com/en/dev/topics/logging for
# more details on how to customize your logging configuration.
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'handlers': {
'mail_admins': {
'level': 'ERROR',
'class': 'django.utils.log.AdminEmailHandler'
}
},
'loggers': {
'django.request': {
'handlers': ['mail_admins'],
'level': 'ERROR',
'propagate': True,
},
}
}
AUTHENTICATION_BACKENDS = [
"rulez.backends.ObjectPermissionBackend",
]
########NEW FILE########
__FILENAME__ = urls
from django.conf.urls.defaults import patterns, include, url
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'testapp.views.home', name='home'),
# url(r'^testapp/', include('testapp.foo.urls')),
# Uncomment the admin/doc line below to enable admin documentation:
# url(r'^admin/doc/', include('django.contrib.admindocs.urls')),
# Uncomment the next line to enable the admin:
# url(r'^admin/', include(admin.site.urls)),
)
########NEW FILE########
| [
"[email protected]"
]
| |
c2d2b5d7a681a9da5144059d9d26d2b5fce68443 | c4b7399a10b7f963f625d8d15e0a8215ea35ef7d | /225.用队列实现栈.py | 30aed3284d9d2a250a13ade1686b9a592683c1e3 | []
| no_license | kangkang59812/LeetCode-python | a29a9788aa36689d1f3ed0e8b668f79d9ca43d42 | 276d2137a929e41120c2e8a3a8e4d09023a2abd5 | refs/heads/master | 2022-12-05T02:49:14.554893 | 2020-08-30T08:22:16 | 2020-08-30T08:22:16 | 266,042,478 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,823 | py | #
# @lc app=leetcode.cn id=225 lang=python3
#
# [225] 用队列实现栈
#
# https://leetcode-cn.com/problems/implement-stack-using-queues/description/
#
# algorithms
# Easy (64.30%)
# Likes: 158
# Dislikes: 0
# Total Accepted: 45.7K
# Total Submissions: 71.1K
# Testcase Example: '["MyStack","push","push","top","pop","empty"]\n[[],[1],[2],[],[],[]]'
#
# 使用队列实现栈的下列操作:
#
#
# push(x) -- 元素 x 入栈
# pop() -- 移除栈顶元素
# top() -- 获取栈顶元素
# empty() -- 返回栈是否为空
#
#
# 注意:
#
#
# 你只能使用队列的基本操作-- 也就是 push to back, peek/pop from front, size, 和 is empty
# 这些操作是合法的。
# 你所使用的语言也许不支持队列。 你可以使用 list 或者 deque(双端队列)来模拟一个队列 , 只要是标准的队列操作即可。
# 你可以假设所有操作都是有效的(例如, 对一个空的栈不会调用 pop 或者 top 操作)。
#
#
#
# @lc code=start
class MyStack:
def __init__(self):
"""
Initialize your data structure here.
"""
self.res=[]
def push(self, x: int) -> None:
"""
Push element x onto stack.
"""
self.res.append(x)
def pop(self) -> int:
"""
Removes the element on top of the stack and returns that element.
"""
return self.res.pop()
def top(self) -> int:
"""
Get the top element.
"""
return self.res[-1]
def empty(self) -> bool:
"""
Returns whether the stack is empty.
"""
return len(self.res)==0
# Your MyStack object will be instantiated and called as such:
# obj = MyStack()
# obj.push(x)
# param_2 = obj.pop()
# param_3 = obj.top()
# param_4 = obj.empty()
# @lc code=end
| [
"[email protected]"
]
| |
9b8c1f144c99095882b7063ecfbd996ea85ad76d | d2c4934325f5ddd567963e7bd2bdc0673f92bc40 | /tests/model_control/detailed/transf_Anscombe/model_control_one_enabled_Anscombe_PolyTrend_Seasonal_Second_MLP.py | 5f171286f0c82166bee8bda1463b423ed0a90ed9 | [
"BSD-3-Clause",
"LicenseRef-scancode-unknown-license-reference"
]
| permissive | jmabry/pyaf | 797acdd585842474ff4ae1d9db5606877252d9b8 | afbc15a851a2445a7824bf255af612dc429265af | refs/heads/master | 2020-03-20T02:14:12.597970 | 2018-12-17T22:08:11 | 2018-12-17T22:08:11 | 137,104,552 | 0 | 0 | BSD-3-Clause | 2018-12-17T22:08:12 | 2018-06-12T17:15:43 | Python | UTF-8 | Python | false | false | 162 | py | import pyaf.tests.model_control.test_ozone_custom_models_enabled as testmod
testmod.build_model( ['Anscombe'] , ['PolyTrend'] , ['Seasonal_Second'] , ['MLP'] ); | [
"[email protected]"
]
| |
06dd6b5555c649a9e05af4e1aba0d16b729d5704 | 04164e028417ff8472b9f2bfec0ec45b0888f743 | /development/interface-pyqt/huge_0d/huge_0d.py | 73f9c7d148eb66cc4f4c236bcc06da783dbc9417 | []
| no_license | Huaguiyuan/quantum-honeycomp | c2b810ff5f5e25d41b1f0c1c1ff7ae500b04dc31 | 50deb0e59fffe4031f05094572552ca5be59e741 | refs/heads/master | 2020-03-22T19:09:58.148862 | 2018-07-08T19:51:58 | 2018-07-08T19:51:58 | 140,510,217 | 1 | 2 | null | 2018-07-11T02:20:32 | 2018-07-11T02:20:32 | null | UTF-8 | Python | false | false | 15,274 | py | #!/usr/bin/python
from __future__ import print_function
import sys
import os
import time
qhroot = os.environ["QHROOT"] # root path
sys.path.append(qhroot+"/interface-pyqt/qtwrap")
sys.path.append(qhroot+"/pysrc/") # python libraries
import qtwrap # import the library with simple wrappaers to qt4
get = qtwrap.get # get the value of a certain variable
getbox = qtwrap.getbox # get the value of a certain variable
window = qtwrap.main() # this is the main interface
modify = qtwrap.modify
from qh_interface import * # import all the libraries needed
getactive = qtwrap.is_checked
def getfile(name):
"""Get the name of the file"""
return builder.get_object(name).get_filename()
def get_vacancies():
"""Get the value of a certain variable"""
name = "vacancies" # name of the object
ats = builder.get_object(name).get_text()
ats = ats.replace(","," ") # substitute comma by space
ats = ats.split() # separte bu commas
# print "Remove atoms = ",ats
ats = [int(float(a)) for a in ats] # convert to int
return ats # return list
def get_numbers(name):
"""Get the values of a certain variable"""
ats = get(name,string=True)
ats = ats.replace(","," ") # substitute comma by space
ats = ats.split() # separte bu commas
ats = [int(float(a)) for a in ats] # convert to int
return ats
def get_geometry0d(second_call=False):
""" Create a 0d island"""
t0 = time.clock() # initial time
lattice_name = getbox("lattice")
if lattice_name=="Honeycomb":
geometry_builder = geometry.honeycomb_lattice
elif lattice_name=="Square":
geometry_builder = geometry.square_lattice
elif lattice_name=="Kagome":
geometry_builder = geometry.kagome_lattice
elif lattice_name=="Lieb":
geometry_builder = geometry.lieb_lattice
elif lattice_name=="Triangular":
geometry_builder = geometry.triangular_lattice
else: raise
# first create a raw unit cell
gbulk = geometry_builder() # build a 2d unit cell
# now scuplt the geometry
nf = 1+get("size") # get the desired size, in float
####################################
####################################
if getbox("geometry_mode") == "Positions": # generate a perfect island
os.system("cp "+getfile("positions_file")+" POSITIONS.OUT")
g = geometry.read()
g.center()
return g
elif getbox("geometry_mode") == "Recipe": # generate a perfect island
nedges = int(get("nedges")) # number of edges
angle = get("rotation")*2.*np.pi/360 # angle to rotate
g = islands.get_geometry(geo=gbulk,n=nf,nedges=nedges,
rot=angle,clean=False)
elif getbox("geometry_mode") == "Image": # generate from an image
print("Direction",getfile("image_path"))
g = sculpt.image2island(getfile("image_path"),gbulk,size=int(nf),color="black")
else: raise
####################################
#############################################
# if a precise diameter is wanted, only for the first call
if getactive("target_diameter") and not second_call:
diameter = get("desired_diameter")
ratio = diameter/g.get_diameter() # ratio between wanted and obtained
print("\nChecking that it has the desired size",ratio)
if not 0.99<ratio<1.01: # if outside the tolerance
newsize = round(ratio*float(get("size"))) # new size
modify("size",newsize) # modify the value
print("Recalling the geometry with size",newsize)
return get_geometry0d(second_call = True)
else: pass
####################################
# clean the island
g.center() # center the geometry
############################################3
# g = modify_geometry(g) # modify the geometry in several ways
print("Total number of atoms =",len(g.r))
print("Time spent in creating the geometry =",time.clock() - t0)
if getactive("clean_island"): # if it is cleaned
g = sculpt.remove_unibonded(g,iterative=True) # remove single bonded atoms
return g
def modify_geometry(g):
"""Modify the geometry according to the interface"""
mtype = getbox("modify_geometry")
print("Modifying geometry according to",mtype)
if mtype == "None": return g # do nothing
elif mtype == "Index":
return sculpt.remove(g,get_vacancies()) # removes several atoms
elif mtype=="Choose atoms": # special case
print("Removing as chosen\n")
try:
inds = np.genfromtxt("REMOVE_ATOMS.INFO") # selected atoms
print("Removed indexes",inds)
except: return g
try:
inds = [int(i) for i in inds] # as integer
except: inds = [int(inds)]
try: return sculpt.remove(g,inds) # removes several atoms
except: return g
def initialize():
""" Initialize the calculation"""
t0 = time.clock()
os.system("rm SELECTED_ATOMS.INFO") # remove the file for the DOS
g = get_geometry0d() # get the geometry
h = hamiltonians.hamiltonian(g) # get the hamiltonian
h.has_spin = False # spin treatment
if h.has_spin: # spinful hamiltonian
print("Spinful hamiltonian, DO NOT USE VERY LARGE ISLANDS!!!")
h.is_sparse = False
h.first_neighbors() # first neighbor hoppin
h.add_zeeman([get("Bx"),get("By"),get("Bz")]) # Zeeman fields
if abs(get("rashba")) > 0.0: h.add_rashba(get("rashba")) # Rashba field
h.add_antiferromagnetism(get("mAF")) # AF order
if abs(get("kanemele"))>0.0: h.add_kane_mele(get("kanemele")) # intrinsic SOC
h.shift_fermi(get("fermi")) # shift fermi energy
h.turn_sparse() # turn it sparse
else: # spinless treatment
h.is_sparse = True
print("Spinless hamiltonian")
h.first_neighbors() # first neighbor hopping
h.add_sublattice_imbalance(get("mAB")) # sublattice imbalance
h.add_peierls(get("peierls")) # add magnetic field
if get("haldane")!=0.0:
h.add_haldane(get("haldane")) # add Haldane coupling
if get("edge_potential")!=0.0: # if there is edge potential
edgesites = edge_atoms(h.geometry) # get the edge atoms
h.shift_fermi(edgesites) # add onsites
# part for bilayer systems
#####
print("Time spent in creating the Hamiltonian =",time.clock() - t0)
h.geometry.write()
h.save() # save the Hamiltonian
def show_ldos():
h = load_hamiltonian() # get the hmiltonian
points = int(get("LDOS_polynomials")) # number of polynomials
x = np.linspace(-.9,.9,int(get("num_ene_ldos"))) # energies
h.intra = h.intra/6.0 # normalize
# make the update of the atoms number if SELECTED_ATOMS file exist
if os.path.isfile("SELECTED_ATOMS.INFO"):
ind_atoms = open("SELECTED_ATOMS.INFO").read().replace("\n",", ")
modify("LDOS_num_atom",ind_atoms)
# now continue in the usual way
atoms = get_numbers("LDOS_num_atom")
ecut = get("energy_cutoff_local_dos")/6.
os.system("rm LDOS_*") # remove
for iatom in atoms: # loop over atoms
if h.has_spin: iatom = iatom*2 # if spinful
x = np.linspace(-ecut,ecut,int(get("num_ene_ldos")),endpoint=True) # energies
mus = kpm.local_dos(h.intra,n=points,i=iatom) # calculate moments
y = kpm.generate_profile(mus,x) # calculate DOS
x,y = x*6.,y/6. # renormalize
y = dos.convolve(x,y,delta=get("smearing_local_dos")) # add broadening
dos.write_dos(x,y) # write dos in file
fname = "LDOS_"+str(iatom)+".OUT" # name of the file
os.system("mv DOS.OUT " + fname) # save the file
execute_script("qh-several-ldos ")
def show_full_spectrum():
h = load_hamiltonian() # get the hmiltonian
nmax = 10000
if h.intra.shape[0]<nmax:
h.get_bands()
execute_script("qh-bands0d ")
else:
print("Too large Hamiltonian ",nmax)
def load_hamiltonian():
h = hamiltonians.load() # load the Hamiltonian
return h
def show_dos():
h = load_hamiltonian() # get the hmiltonian
points = int(get("DOS_polynomials")) # number of polynomials
x = np.linspace(-.9,.9,int(get("num_ene_dos"))) # energies
h.intra = h.intra/6.0 # normalize
ntries = get("DOS_iterations")
t0 = time.clock() # initial time
mus = kpm.random_trace(h.intra,n=points,ntries=100) # calculate moments
y = kpm.generate_profile(mus,x) # calculate DOS
x,y = x*6.,y/6. # renormalize
y = dos.convolve(x,y,delta=get("smearing_dos")) # add broadening
dos.write_dos(x,y) # write dos in file
execute_script("qh-dos DOS.OUT")
print("Time spent in Kernel PM DOS calculation =",time.clock() - t0)
def show_spatial_dos():
t0 = time.clock()
h = load_hamiltonian() # get the hamiltonian
mode_stm = getbox("mode_stm") # get the way the images will be calculated
delta = get("smearing_spatial_DOS")
def shot_dos(energy):
if mode_stm == "Full": # matrix inversion
ldos.ldos0d(h,e = energy,
delta = delta)
elif mode_stm == "Eigen": # Using Arnoldi
ldos.ldos0d_wf(h,e = energy,
delta = delta,
num_wf = int(get("nwaves_dos")),
robust=True,tol=delta/1000)
mode_dosmap = getbox("mode_dosmap") # one shot or video
if mode_dosmap=="Single shot":
energy = get("energy_spatial_DOS") # one shot
shot_dos(energy) # calculate
print("Time spent in STM calculation =",time.clock() - t0)
execute_script("qh-fast-ldos LDOS.OUT ") # using matplotlib
if mode_dosmap=="Movie": # do a sweep
energies = np.linspace(get("mine_movie"),get("maxe_movie"),
int(get("stepse_movie")))
fof = open("FRAMES.OUT","w") # file with frames
for energy in energies:
print("Calculating",energy)
shot_dos(energy) # calculate
name = "ENERGY_"+'{0:.8f}'.format(energy)+"_LDOS.OUT"
os.system("mv LDOS.OUT "+name) # save the data
execute_script("qh-silent-ldos "+name) # save the image
namepng = name+".png" # name of the image
fof.write(namepng+"\n") # save the name
fof.close() # close file
os.system("xdg-open "+namepng) # open the last file
def edge_atoms(g,nn=3):
"""Get the edge potential"""
cs = g.get_connections() # get the connections
v1 = np.array([int(len(c)<nn) for c in cs]) # check if the atom is on the edge or not
# and the first neighbors to the edge
# v2 = np.zeros(len(v1)) # initialize
# for i in range(len(v1)): # loop
# if v1[i]==0: # not in the edge yet
# for ic in cs[i]: # loop over neighbors
# if v1[ic]==1: # edge atom
# v2[i] = 1 # assign
# break
# v = v1 + v2*2./3. # sum
v = v1
np.savetxt("EDGE.OUT",np.matrix([g.x,g.y,v]).T) # save
return v # return the array
def show_potential():
g = get_geometry0d() # get the geometry
edge_atoms(g)
execute_script("qh-absolute-potential EDGE.OUT ")
def show_lattice():
"""Show the lattice of the system"""
g = get_geometry0d() # get the geometry
g.write()
print("Structure has been created")
# if getactive("show3d"): execute_script("qh-pick ")
execute_script("qh-fast-pick ")
def show_path_dos():
"""Show the the DOS in the path"""
calculate_path_dos() # calculate the path
h = load_hamiltonian() # get the hmiltonian
pols = int(get("pols_path")) # number of polynomials
h.intra = h.intra/6.0 # normalize
atoms = np.genfromtxt("PATH.OUT").transpose()[0] # indexes
atoms = [int(a) for a in atoms] # indexes of the atoms
os.system("rm LDOS_*") # clean all the data
ecut = np.abs(get("ecut_path")) # maximum energy in path
if ecut>5.5: ecut = 5.9
ecut /= 6.0 # to interval 0,1
for iatom in atoms: # loop over atoms
print("Calculating DOS in ",iatom)
if h.has_spin: iatom = iatom*2 # if spinful
mus = kpm.local_dos(h.intra,n=pols,i=iatom) # calculate moments
x = np.linspace(-ecut,ecut,int(get("num_ene_path"))) # energies
y = kpm.generate_profile(mus,x) # calculate DOS
xout,yout = x*6.,y/6. #renormalize
yout = dos.convolve(xout,yout,delta=get("smearing_path_dos")) # add broadening
dos.write_dos(xout,yout) # write dos in file
fname = "LDOS_"+str(iatom)+".OUT" # name of the file
os.system("cp DOS.OUT " + fname) # save the file
execute_script("qh-dos-path ")
def show_path():
"""Show the path followed in the DOS, when calculating several
atoms"""
calculate_path_dos() # calculate the path
execute_script("qh-path ")
def calculate_path_dos():
"""Calculate all the DOS in a path"""
i0 = int(get("initial_atom"))
i1 = int(get("final_atom"))
h = load_hamiltonian() # get the hamiltonian
r0 = h.geometry.r[i0] # initial point
r1 = h.geometry.r[i1] # final point
# now do something dangerous, rotate the geometry to check which
# atoms to accept
print("Initial position",r0)
print("Final position",r1)
print("Created new rotated geometry")
gtmp = h.geometry.copy() # copy geometry
gtmp.shift(r0) # shift the geometry
gtmp = sculpt.rotate_a2b(gtmp,r1-r0,np.array([1.,0.,0.]))
# new positions
r0 = gtmp.r[i0]
r1 = gtmp.r[i1]
dr = r1 - r0 # vector between both points
dy = np.abs(get("width_path")) # width accepted
dx = np.sqrt(dr.dot(dr))+0.1
print("Initial ROTATED position",r0)
print("Final ROTATED position",r1)
# and every coordinate
x1,y1 = r0[0],r0[1]
x2,y2 = r1[0],r1[1]
ym = (y1+y2)/2. # average y
def fun(r):
"""Function that decides which atoms to calculate"""
x0 = r[0]
y0 = r[1]
if (x1-dy)<x0<(x2+dy) and np.abs(y0-ym)<dy: return True
else: return False
inds = sculpt.intersected_indexes(gtmp,fun) # indexes of the atoms
fo = open("PATH.OUT","w") # output file
fo.write("# index of the atom, step in the path, x, y\n")
ur = dr/np.sqrt(dr.dot(dr)) # unitary vector
steps = [(gtmp.r[i] - r0).dot(ur) for i in inds] # proyect along that line
inds = [i for (s,i) in sorted(zip(steps,inds))] # sort by step
steps = sorted(steps) # sort the steps
# only select those between the initial and final points
inds0,steps0 = [],[]
# for (i,s) in (inds,steps):
# if 0<s<1.
####################
g = h.geometry
for (i,s) in zip(inds,steps):
fo.write(str(i)+" "+str(s)+" "+str(g.x[i])+" "+str(g.y[i])+"\n")
fo.close() # close file
inipath = os.getcwd() # get the initial directory
save_results = lambda x: save_outputs(inipath,tmppath) # function to save
def clear_removal():
os.system("rm SELECTED.INFO") # remove the file
def select_atoms():
execute_script("qh-fast-pick write remove ") # remove the file
def select_atoms_dos():
execute_script("qh-fast-pick write ") # remove the file
# create signals
signals = dict()
signals["initialize"] = initialize # initialize and run
signals["show_ldos"] = show_ldos # show LDOS
signals["show_dos"] = show_dos # show DOS
signals["show_spatial_dos"] = show_spatial_dos # show DOS
signals["show_lattice"] = show_lattice # show magnetism
#signals["show_full_spectrum"] = show_full_spectrum # show all the eigenvalues
signals["show_path"] = show_path # show the path
signals["show_path_dos"] = show_path_dos # show the path
signals["show_potential"] = show_potential # show the potential added
signals["save_results"] = save_results # save the results
#signals["clear_removal"] = clear_removal # clear the file
#signals["select_atoms"] = select_atoms # select_atoms
signals["select_atoms_dos"] = select_atoms_dos # select_atoms
window.connect_clicks(signals)
folder = create_folder()
tmppath = os.getcwd() # get the initial directory
initialize() # do it once
window.run()
| [
"[email protected]"
]
| |
3e08d654f048917a2b0e628dff9d3407f41d5863 | d7d9cc992a15572460da83b7bf0336f4d65bee05 | /ZoneKiller.py | b97508058ad3d77ebe4013199bbcd6eee14296e2 | []
| no_license | toustyj/XAttacker-3.x | 462c7e19e7b1064712185342b695657d63296ceb | 576e9f0097e9c609e41ae7411b85cad001288026 | refs/heads/main | 2023-05-01T02:25:29.710971 | 2021-05-17T20:05:15 | 2021-05-17T20:05:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,802 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#Ne touche pas le script -_-
#Don't Edit Logo -_-
import requests, httplib, urllib
import socket
from platform import system
import os
import sys, time
import re
import threading
from multiprocessing.dummy import Pool
from colorama import Fore
from colorama import Style
from colorama import init
init(autoreset=True)
fr = Fore.RED
fh = Fore.RED
fc = Fore.CYAN
fo = Fore.MAGENTA
fw = Fore.WHITE
fy = Fore.YELLOW
fbl = Fore.BLUE
fg = Fore.GREEN
sd = Style.DIM
fb = Fore.RESET
sn = Style.NORMAL
sb = Style.BRIGHT
user = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; rv:57.0) Gecko/20100101 Firefox/57.0"}
url = "http://www.zone-h.org/archive/notifier="
urll = "http://zone-h.org/archive/published=0"
url2 = "http://www.defacers.org/onhold!"
url4 = "http://www.defacers.org/gold!"
my_cook = {
"ZHE" : "58594bbe3162e99794eaf4696215e7e8",
"PHPSESSID" : "gklckq837dpm9qt8jj07a88a65"
}
def zonehh():
print("""
|---| Grabb Sites From Zone-h |--|
\033[91m[1] \033[95mGrabb Sites By Notifier
\033[91m[2] \033[95mGrabb Sites By Onhold
""")
sec = int(raw_input("Choose Section: "))
if sec == 1:
notf = raw_input("\033[95mEntre notifier: \033[92m")
for i in range(1, 51):
dz = requests.get(url + notf +"/page=" + str(i), cookies=my_cook)
dzz = dz.content
print(url + notf +"/page=" + str(i))
if '<html><body>-<script type="text/javascript"' in dzz:
print("Change Cookies Please")
sys.exit()
elif '<input type="text" name="captcha" value=""><input type="submit">' in dzz:
print("Entre Captcha In Zone-h From Ur Browser :/")
sys.exit()
else:
Hunt_urls = re.findall('<td>(.*)\n </td>', dzz)
if '/mirror/id/' in dzz:
for xx in Hunt_urls:
qqq = xx.replace('...','')
print ' [' + '*' + '] ' + qqq.split('/')[0]
with open( notf + '.txt', 'a') as rr:
rr.write("http://" + qqq.split('/')[0] + '\n')
else:
print("Grabb Sites Completed Starting XAttacker !!")
time.sleep(4)
os.system('perl XAttacker.pl')
sys.exit()
elif sec == 2:
print(":* __Grabb Sites After Done Please Open XAttacker.pl")
for qwd in range(1, 51):
rb = requests.get(urll + "/page=" + str(qwd) , cookies=my_cook)
dzq = rb.content
if '<html><body>-<script type="text/javascript"' in dzq:
print("Change Cookies Plz")
sys.exit()
elif "captcha" in dzq:
print("Entre captcha In Your Browser Of Site [zone-h.org]")
else:
Hunt_urlss = re.findall('<td>(.*)\n </td>', dzq)
for xxx in Hunt_urlss:
qqqq = xxx.replace('...','')
print ' [' + '*' + '] ' + qqqq.split('/')[0]
with open('onhold_zone.txt', 'a') as rrr:
rrr.write("http://" + qqqq.split('/')[0] + '\n')
else:
print("Fuck You Men")
def defacers():
print("""
|---| Grabb Sites From Defacers.org |--|
\033[91m[1] \033[95mGrabb Sites By Onhold
\033[91m[2] \033[95mGrabb Sites By Archive
""")
sec = int(raw_input("Choose Section: "))
if sec == 1:
for i in range(1, 380):
print("Page: "), str(i) + "\033[91m Waiting Grabbed Sites ..... <3"
rb = requests.get(url2 + str(i),headers=user)
okbb = rb.content
domains = re.findall(r'title=".*" tar.?', okbb)
for iii in domains:
iii = iii.replace('" target="_blank" reel="nofollow">', "")
iii = iii.replace('title="', "")
iii = iii.replace('" targ', "")
print("\033[95mhttp://" + iii + "/")
with open("Onhold_defacer.txt", "a") as by:
by.writelines("http://" + iii + "/")
by.writelines("\n")
print ("\t\t[+] Page Saved_"),str(i) +(" done [+]\n")
elif sec == 2:
for i in range(1, 25):
print("Page: "), str(i) + " \033[91mWaiting Grabbed Sites Governement ..... <3"
rb = requests.get(url4 + str(i),headers=user)
okbb = rb.content
domains = re.findall(r'title=".*" tar.?', okbb)
for iii in domains:
iii = iii.replace('" target="_blank" reel="nofollow">', "")
iii = iii.replace('title="', "")
iii = iii.replace('" targ', "")
print("\033[95mhttp://" + iii + "/")
with open("govSites_defacer.txt", "a") as by:
by.writelines("http://" + iii + "/")
by.writelines("\n")
print ("\t\t[+] Page Saved_"),str(i) +(" done [+]\n")
else:
print("Fuck You Men 2")
def mirroirh():
print("""
|---| Grabb Sites From Mirror-h.org |--|
\033[91m[1] \033[95mGrabb Sites By Onhold
\033[91m[2] \033[95mGrabb Sites By Auto_Notifier
""")
sec = int(raw_input("Choose Section: "))
if sec == 1:
url = "https://mirror-h.org/archive/page/"
try:
for pp in range(1, 40254):
dz = requests.get(url + str(pp))
dzz = dz.content
qwd = re.findall(r'/zone/(.*)</a></td>', dzz)
print(" \033[91m[*] Please Wait To Grabb Sites ...... Page: "), pp
for ii in qwd:
ii = ii.replace('<i class="icon-search"></i>', "")
ii = ii.replace(ii[:10], "")
ii = ii.replace("\r\n\r\n", "\r\n")
ii = ii.strip()
#iio = ii.replace('<i class="icon-search"></i>', "hhhhhhhhhhhhh")
print("\033[95m" + ii)
with open( 'onzeb_mirror.txt', 'a') as rr:
rr.write(ii + '\n')
except:
pass
elif sec == 2:
url = "https://mirror-h.org/search/hacker/"
try:
for ha in range(1, 2000):
print("\033[91mWait To Grabb From Hacker: "), ha
dz = requests.get(url + str(ha) + "/pages/1")
dzz = dz.content
qwd = re.findall(r'/pages/\d" title="Last"', dzz)
for i in qwd:
i = i.rstrip()
sss = i.replace("/pages/","")
ss = sss.replace('" title="Last"',"")
ssf = int(ss) + 1
for ii in range(1, ssf):
print(" \033[91m[*] Please Wait To Grabb Sites ...... Page: "), ii
dd = requests.get(url + str(ha) + "/pages/"+ str(ii))
op = dd.content
qwdd = re.findall(r'/zone/(.*)</a></td>', op)
for idi in qwdd:
idi = idi.replace('<i class="icon-search"></i>', "")
idi = idi.replace(idi[:10], "")
idi = idi.replace("\r\n\r\n", "\r\n")
idi = idi.strip()
#iio = ii.replace('<i class="icon-search"></i>', "hhhhhhhhhhhhh")
print("\033[95m" + idi)
with open( 'top_mirror.txt', 'a') as rr:
rr.write(idi + '\n')
except:
pass
def overflowzone():
print("""
|---| Grabb Sites From overflowzone.com |--|
\033[91m[1] \033[95mGrabb Sites By Onhold
\033[91m[2] \033[95mGrabb Sites By AutoNotifier
""")
sec = int(raw_input("Choose Section: "))
if sec == 1:
url = "http://attacker.work/onhold/onhold/page/"
dz = requests.get(url + "1")
dzz = dz.content
tn = re.findall(r'<a href="/onhold/page/(.*)" title="Last">', dzz)
for ii in tn:
qwd = ii.split('/')[-1]
for ok in range(1, int(qwd)):
okk = requests.get(url + str(ok))
print("`\t\t\t" + url + str(ok))
fel = okk.content
okkk = re.findall(r'">http://(.*)</a></td>', fel)
for iii in okkk:
iii = iii.rstrip()
print("\033[95mhttp://" + iii.split('/')[0])
with open( 'onhold_attackerwork.txt', 'a') as rr:
rr.write("http://" + iii.split('/')[0] + '\n')
elif sec == 2:
url = "http://attacker.work/archive/page/"
dz = requests.get(url + "1")
dzz = dz.content
tn = re.findall(r'<a href="/archive/page/(.*)" title="Last">', dzz)
for ii in tn:
qwd = ii.split('/')[-1]
for ok in range(1, int(qwd)):
okk = requests.get(url + str(ok))
print("`\t\t\t" + url + str(ok))
fel = okk.content
okkk = re.findall(r'">http://(.*)</a></td>', fel)
for iii in okkk:
iii = iii.rstrip()
print("\033[95mhttp://" + iii.split('/')[0])
with open( 'archive_attackerwork.txt', 'a') as rr:
rr.write("http://" + iii.split('/')[0] + '\n')
else:
print("hhhhhhhh tnkt")
def bYPAS():
exploit = ["/member/","/admin/login.php","/admin/panel.php","/admin/","/login.php","/admin.html","/admin.php","/admin-login.php"]
try:
q = raw_input('\033[96m Entre Liste Site: \033[90m ')
q = open(q, 'r')
except:
print("\033[91mEntre List Sites -_- #Noob ")
sys.exit()
for lst in q:
lst = lst.rstrip()
print("\033[94m Wait Scaning ....... \033[94m"), lst
for exploits in exploit:
exploits.rstrip()
try:
if lst[:7] == "http://":
lst = lst.replace("http://","")
if lst[:8] == "https://":
lst = lst.replace("https://", "")
if lst[-1] == "/":
lst = lst.replace("/","")
socket.setdefaulttimeout(5)
conn = httplib.HTTPConnection(lst)
conn.request("POST", exploits)
conn = conn.getresponse()
htmlconn = conn.read()
if conn.status == 200 and ('type="password"') in htmlconn:
print("\033[92m [+] Admin Panel [+] ======\033[96m=======> \033[96m ") , lst + exploits
with open("admin_panels.txt", "a") as by:
by.writelines(lst + exploits + "\n")
else:
print("\033[91m [-] Not Found : [-]"),lst + exploits
except:
pass
def add_http():
dz = raw_input("Entre List Site: ")
dz = open(dz, "r")
for i in dz:
i = i.rstrip()
print("http://"+i)
with open( 'aziz.txt', 'a') as rr:
rr.write("http://" + i + '\n')
print("Text Saved !!")
def binger():
qwd = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; rv:57.0) Gecko/20100101 Firefox/57.0"}
print("""
\033[91m[1] \033[95mGrabb Sites By Ip List
\033[91m[1] \033[95mGrabb Sites Fox_Contact And Bypass By Ip List
""")
o = int(raw_input("Choose Section: "))
if o == 1:
gr = raw_input('Give me List Ip: ')
gr = open(gr,'r')
for done in gr:
remo = []
page = 1
while page < 251:
bing = "http://www.bing.com/search?q=ip%3A"+done+"+&count=50&first="+str(page)
opene = requests.get(bing,verify=False,headers=qwd)
read = opene.content
findwebs = re.findall('<h2><a href="(.*?)"', read)
for i in findwebs:
o = i.split('/')
if (o[0]+'//'+o[2]) in remo:
pass
else:
remo.append(o[0]+'//'+o[2])
print '{}[XxX] '.format(fg,sb),(o[0]+'//'+o[2])
with open('Grabbed.txt','a') as s:
s.writelines((o[0]+'//'+o[2])+'\n')
page = page+5
elif o == 2:
qwd = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; rv:57.0) Gecko/20100101 Firefox/57.0"}
gr = raw_input('Give me List Ip: ')
gr = open(gr,'r')
for done in gr:
remo = []
page = 1
print("Wait Grabb Sites From iP: "), done
while page < 251:
bing = "http://www.bing.com/search?q=ip%3A"+done + " powered by fox_contact"+"+&count=50&first="+str(page)
opene = requests.get(bing,verify=False,headers=qwd)
read = opene.content
findwebs = re.findall('<h2><a href="(.*?)"', read)
for i in findwebs:
o = i.split('/')
if (o[0]+'//'+o[2]) in remo:
pass
else:
remo.append(o[0]+'//'+o[2])
print '[XxX] ' + (o[0]+'//'+o[2])
with open('foxcontact.txt','a') as s:
s.writelines((o[0]+'//'+o[2])+'\n')
page = page+5
bing = "http://www.bing.com/search?q=ip%3A"+done + " admin/login.php"+"+&count=50&first="+str(page)
opene = requests.get(bing,verify=False,headers=qwd)
read = opene.content
findwebs = re.findall('<h2><a href="(.*?)"', read)
for i in findwebs:
o = i.split('/')
if (o[0]+'//'+o[2]) in remo:
pass
else:
remo.append(o[0]+'//'+o[2])
dd = requests.get(o[0]+'//'+o[2] + "/admin/login.php")
ddd = dd.content
if 'type="password"' in ddd:
print("\033[92mAdmin_Panel Site: >>>>>>\033[91m"),o[0]+'//'+o[2] + "/admin/login.php"
with open('admin panel.txt','a') as s:
s.writelines((o[0]+'//'+o[2])+'\n')
page = page+5
else:
print("dir numero azbi nooooooob")
def cms_detected():
lst = raw_input("Entre List Site: ")
lst = open(lst, 'r')
for i in lst:
i = i.rstrip()
print("\033[91m[+] \033[95mPlease Waiting To Scaning ... "), "\033[94m" + i + " \033[91m[+]"
try:
dz = requests.get(i)
ok = dz.content
#-------------WP---------------------------
if "wp-content" in ok:
print("\033[92mWp Site : >>>>>>>>>>>>>>\033[91m"), i + "/wp-login.php"
with open("wp sites.txt", "a") as wpp:
wpp.writelines(i + "/wp-login.php"+ "\n")
#-------JM--------------------------
elif "com_content" in ok:
print("\033[92mJm Site: >>>>>>>>>>>>>>\033[91m"), i + "/administrator/"
with open("joomla sites.txt", "a") as jmm:
jmm.writelines(i + "/administrator/"+ "\n")
#---------OPENCARTE-----------------------
elif "index.php?route" in ok:
print("\033[92mOpenCart Site: >>>>>>>>>>>>>>\033[91m"), i + "/admin/"
with open("OpenCart sites.txt", "a") as opncrt:
opncrt.writelines(i + "/admin/"+ "\n")
#---------------------------------
elif "/node/" in ok:
print("\033[92mDrupal Site: >>>>>>>>>>>>>>\033[91m"), i + "/user/login"
with open("Drupal sites.txt", "a") as drbl:
drbl.writelines(i + "/user/login"+ "\n")
else:
bypass = ["/admin/login.php","/admin/","/login.php","/admin.html","/admin.php","/member/"]
for byp in bypass:
byp = byp.rstrip()
dd = requests.get(i + byp)
ddd = dd.content
if 'type="password"' in ddd:
print("\033[92mAdmin_Panel Site: >>>>>>\033[91m"),i + byp
with open("Admin Sites.txt", "a") as by:
by.writelines(i + byp + "\n")
else:
pass
print("\033[91m[-] Not Found Cms: [-]"), "\033[91m" + i
except:
pass
def spotii():
#url = "https://www.spotify.com"
rl = "http://www.spotify.com/us/xhr/json/isEmailAvailable.php?signup_form[email]="
try:
ok = raw_input("{}root@kil3r~# Entre List Email: ".format(fy,sn))
okd = open(ok, 'r')
except:
print("{}zebi entre list email -_- nooob").format(fh,sn)
for i in okd:
i = i.rstrip()
qwd = url + i + "&email=" + i
dz = requests.get(qwd, headers=user)
dzz = dz.content
if 'false' in dzz:
print("{} [LIVE] ".format(fg,sn)), "{}".format(fg,sn) + i
with open("spotify checked.txt", "a") as zebi:
zebi.writelines(i + '\n')
else:
print("{} [DEAD] ").format(fh,sn), "{}".format(fh,sn) + i
def clearscrn():
if system() == 'Linux':
os.system('clear')
if system() == 'Windows':
os.system('cls')
os.system('color a')
clearscrn()
def slowprint(s):
for c in s + '\n':
sys.stdout.write(c)
sys.stdout.flush()
time.sleep(4. / 100)
def helper4():
clearscrn()
banner = """\033[94m
_ _ _ ___ _ _____
███╗░░██╗░█████╗░███╗░░██╗░█████╗░░██████╗███████╗░█████╗░
████╗░██║██╔══██╗████╗░██║██╔══██╗██╔════╝██╔════╝██╔══██╗
██╔██╗██║███████║██╔██╗██║██║░░██║╚█████╗░█████╗░░██║░░╚═╝
██║╚████║██╔══██║██║╚████║██║░░██║░╚═══██╗██╔══╝░░██║░░██╗
██║░╚███║██║░░██║██║░╚███║╚█████╔╝██████╔╝███████╗╚█████╔╝
╚═╝░░╚══╝╚═╝░░╚═╝╚═╝░░╚══╝░╚════╝░╚═════╝░╚══════╝░╚════╝░
"""
print("""\033[95m
_ _ _ ___ _ _____
███╗░░██╗░█████╗░███╗░░██╗░█████╗░░██████╗███████╗░█████╗░
████╗░██║██╔══██╗████╗░██║██╔══██╗██╔════╝██╔════╝██╔══██╗
██╔██╗██║███████║██╔██╗██║██║░░██║╚█████╗░█████╗░░██║░░╚═╝
██║╚████║██╔══██║██║╚████║██║░░██║░╚═══██╗██╔══╝░░██║░░██╗
██║░╚███║██║░░██║██║░╚███║╚█████╔╝██████╔╝███████╗╚█████╔╝
╚═╝░░╚══╝╚═╝░░╚═╝╚═╝░░╚══╝░╚════╝░╚═════╝░╚══════╝░╚════╝░
Greetz To : \033[93mNano\033[92m Hackers \033[91m|D\033[92mz| \033[91 XAttacker \033[92mHackers
""")
slowprint("\n\t\t\t\t\tPowered By : N.." + "\n\t\t\t\t\t\tDiscord : N..#1337 ICQ : 748166881")
print("")
print("""
\033[91m[1] \033[95mGrabb Sites \033[92m From Zone-h.org | \033[91m[3] \033[95mGrabb Sites \033[92m From mirror-h.org |
\033[91m[2] \033[95mGrabb Sites \033[92m From Defacers.org | \033[91m[4] \033[95mGrabb Sites \033[92m From overflowzone.com |
\033[91m[5] \033[95mGet Sites bypass With List [Bypass Finder]
\033[91m[6] \033[95mMass Add (http://) To List ^_^
\033[91m[7] \033[95mGrabber Sites From Bing :D
\033[91m[8] \033[95mCms Filter
\033[91m[9] \033[95mEmail Valid Spotify
#######################################################
# Love 4 USA |\033[91m| Live 4 USA #
#######################################################
""")
try:
qq = int(raw_input("\033[91m[-] \033[90mroot@kil3r~# \033[92mChoose Section !!\033[95m : \033[90m"))
if qq == 1:
clearscrn()
print(banner)
zonehh()
if qq == 2:
clearscrn()
print(banner)
defacers()
if qq == 3:
clearscrn()
print(banner)
mirroirh()
if qq == 4:
clearscrn()
print(banner)
overflowzone()
if qq == 5:
clearscrn()
print(banner)
bYPAS()
if qq == 6:
clearscrn()
print(banner)
add_http()
if qq == 7:
clearscrn()
print(banner)
binger()
if qq == 8:
clearscrn()
print(banner)
cms_detected()
if qq == 9:
clearscrn()
print(banner)
spotii()
except:
pass
helper4()
| [
"[email protected]"
]
| |
797fb5e4b44f2abe5c67ca7a0b9b2fba00dcd1e2 | f305f84ea6f721c2391300f0a60e21d2ce14f2a5 | /7_graph/经典题/置换环/amidakuji鬼脚图/1-最少的横线构造amidakuji.py | 32ff9e00794f1b88811986c870be0e27ba2b7ac0 | []
| no_license | 981377660LMT/algorithm-study | f2ada3e6959338ae1bc21934a84f7314a8ecff82 | 7e79e26bb8f641868561b186e34c1127ed63c9e0 | refs/heads/master | 2023-09-01T18:26:16.525579 | 2023-09-01T12:21:58 | 2023-09-01T12:21:58 | 385,861,235 | 225 | 24 | null | null | null | null | UTF-8 | Python | false | false | 889 | py | # 冒泡排序邻位交换 构造amidakuji的横线
from typing import List
def amidakuji(ends: List[int]) -> List[int]:
"""
冒泡排序构造amidakuji的横线
Args:
ends: 每个点最后的位置 (1-index)
Returns:
鬼脚图的横线,一共m条,从上往下表示.
lines[i] 表示第i条横线连接 line[i] 和 line[i]+1. (1-index)
"""
n = len(ends)
res = []
for i in range(n - 1):
isSorted = True
for j in range(n - 1 - i):
if ends[j] > ends[j + 1]:
isSorted = False
res.append(j + 1)
ends[j], ends[j + 1] = ends[j + 1], ends[j]
if isSorted:
break
return res[::-1] # 目标数组冒泡排序的逆序才是从上往下的横线顺序
assert amidakuji([5, 2, 4, 1, 3]) == [1, 3, 2, 4, 3, 2, 1]
| [
"[email protected]"
]
| |
5069b7fa589dea216ef97b476055fcf630474880 | 39dac505e0814d8f73d21576085b02e5e54d9b05 | /67.py | 4b3bbfabcd2eafad0676f05c08d42b459cf43d65 | []
| no_license | gxmls/Python_Leetcode | 4b2ce5efb0a88cf80ffe5e57a80185ca5df91af2 | 2a9bb36c5df0eaba026183a76deb677c5bd7fd2d | refs/heads/main | 2023-06-08T03:45:43.548212 | 2021-06-22T09:46:44 | 2021-06-22T09:46:44 | 362,726,420 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 773 | py | '''
给你两个二进制字符串,返回它们的和(用二进制表示)。
输入为 非空 字符串且只包含数字 1 和 0。
示例 1:
输入: a = "11", b = "1"
输出: "100"
示例 2:
输入: a = "1010", b = "1011"
输出: "10101"
提示:
每个字符串仅由字符 '0' 或 '1' 组成。
1 <= a.length, b.length <= 10^4
字符串如果不是 "0" ,就都不含前导零。
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/add-binary
著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。
'''
class Solution:
def addBinary(self, a: str, b: str) -> str:
sa='0b'+a
sb='0b'+b
s=str(bin(eval(sa)+eval(sb)))
return s[2:]
| [
"[email protected]"
]
| |
94db114f318aa9b8d5bb675594da7ce584d26625 | 1f700dad5a6cae92d2f918098e5d6ffb92ead725 | /tests/path/compressed_stream_path_spec.py | dd265d90b7bdc40125f173b57997c89a59e064a1 | [
"Apache-2.0"
]
| permissive | devgc/dfvfs | 5cdf4fc8a984a4768877536128cee60d53e89834 | a0196808f569e4c5f947c458945cd0a17d1abab5 | refs/heads/master | 2020-04-05T23:42:11.088128 | 2016-08-23T16:50:16 | 2016-08-23T16:50:16 | 66,384,661 | 1 | 0 | null | 2016-08-23T16:36:10 | 2016-08-23T16:36:07 | Python | UTF-8 | Python | false | false | 1,618 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""Tests for the compressed stream path specification implementation."""
import unittest
from dfvfs.path import compressed_stream_path_spec
from tests.path import test_lib
class CompressedStreamPathSpecTest(test_lib.PathSpecTestCase):
"""Tests for the compressed stream path specification implementation."""
def testInitialize(self):
"""Tests the path specification initialization."""
path_spec = compressed_stream_path_spec.CompressedStreamPathSpec(
compression_method=u'test', parent=self._path_spec)
self.assertIsNotNone(path_spec)
with self.assertRaises(ValueError):
_ = compressed_stream_path_spec.CompressedStreamPathSpec(
compression_method=u'test', parent=None)
with self.assertRaises(ValueError):
_ = compressed_stream_path_spec.CompressedStreamPathSpec(
compression_method=None, parent=self._path_spec)
with self.assertRaises(ValueError):
_ = compressed_stream_path_spec.CompressedStreamPathSpec(
compression_method=u'test', parent=self._path_spec, bogus=u'BOGUS')
def testComparable(self):
"""Tests the path specification comparable property."""
path_spec = compressed_stream_path_spec.CompressedStreamPathSpec(
compression_method=u'test', parent=self._path_spec)
self.assertIsNotNone(path_spec)
expected_comparable = u'\n'.join([
u'type: TEST',
u'type: COMPRESSED_STREAM, compression_method: test',
u''])
self.assertEqual(path_spec.comparable, expected_comparable)
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
]
| |
d9c5c465a1e726456f0258d91c27dba9bc8f31e3 | 3445d4fbc85d962235ff9036c687cf1c6061a6fc | /src/vabene/__init__.py | 0bc80208f2a5ae2b04a9673c604b99b944b302db | [
"MIT"
]
| permissive | LaYeqa/vabene | c16c177c03abb10569a4ac98667165d0252e8795 | e69ffe8d8509b5ff775a8c31528f53c09d6bab7c | refs/heads/master | 2022-12-27T09:42:50.369092 | 2020-09-22T10:07:30 | 2020-09-22T10:07:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 112 | py | from .atom import * # noqa
from .bond import * # noqa
from .molecule import * # noqa
__version__ = '0.0.5'
| [
"[email protected]"
]
| |
6b2635ba044761b70c21a0615dfe7ff99392f967 | 1c6283303ceb883add8de4ee07c5ffcfc2e93fab | /Jinja2/lib/python3.7/site-packages/ixnetwork_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/configelement/stack/frameRelay_template.py | ec8c961f3acb1c4fdc24e612b525e265eee952f2 | []
| no_license | pdobrinskiy/devcore | 0f5b3dfc2f3bf1e44abd716f008a01c443e14f18 | 580c7df6f5db8c118990cf01bc2b986285b9718b | refs/heads/main | 2023-07-29T20:28:49.035475 | 2021-09-14T10:02:16 | 2021-09-14T10:02:16 | 405,919,390 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,002 | py | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class FrameRelay(Base):
__slots__ = ()
_SDM_NAME = 'frameRelay'
_SDM_ATT_MAP = {
'Address2ByteDlciHiOrderBits': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.dlciHiOrderBits-1',
'Address2ByteCrBit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.crBit-2',
'Address2ByteEa0Bit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.ea0Bit-3',
'Address2ByteDlciLoOrderBits': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.dlciLoOrderBits-4',
'Address2ByteFecnBit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.fecnBit-5',
'Address2ByteBecnBit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.becnBit-6',
'Address2ByteDeBit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.deBit-7',
'Address2ByteEa1Bit': 'frameRelay.header.frameRelayTag.frameRelay.address.address2Byte.ea1Bit-8',
'HeaderControl': 'frameRelay.header.control-9',
'PaddingPad': 'frameRelay.header.padding.pad-10',
'HeaderNlpid': 'frameRelay.header.nlpid-11',
}
def __init__(self, parent, list_op=False):
super(FrameRelay, self).__init__(parent, list_op)
@property
def Address2ByteDlciHiOrderBits(self):
"""
Display Name: DLCI High Order Bits
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteDlciHiOrderBits']))
@property
def Address2ByteCrBit(self):
"""
Display Name: CR Bit
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteCrBit']))
@property
def Address2ByteEa0Bit(self):
"""
Display Name: EA0 Bit
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteEa0Bit']))
@property
def Address2ByteDlciLoOrderBits(self):
"""
Display Name: DLCI Low Order Bits
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteDlciLoOrderBits']))
@property
def Address2ByteFecnBit(self):
"""
Display Name: FECN Bit
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteFecnBit']))
@property
def Address2ByteBecnBit(self):
"""
Display Name: BECN Bit
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteBecnBit']))
@property
def Address2ByteDeBit(self):
"""
Display Name: DE Bit
Default Value: 0
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteDeBit']))
@property
def Address2ByteEa1Bit(self):
"""
Display Name: EA1 Bit
Default Value: 1
Value Format: decimal
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['Address2ByteEa1Bit']))
@property
def HeaderControl(self):
"""
Display Name: Control
Default Value: 0x03
Value Format: hex
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['HeaderControl']))
@property
def PaddingPad(self):
"""
Display Name: Pad
Default Value: 0x00
Value Format: hex
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['PaddingPad']))
@property
def HeaderNlpid(self):
"""
Display Name: NLPID
Default Value: 0xCC
Value Format: hex
"""
from ixnetwork_restpy.multivalue import Multivalue
return Multivalue(self, self._get_attribute(self._SDM_ATT_MAP['HeaderNlpid']))
def add(self):
return self._create(self._map_locals(self._SDM_ATT_MAP, locals()))
| [
"[email protected]"
]
| |
9cc6e234709a6d622d8926ba526193a4ea03dac5 | 3ef70fe63acaa665e2b163f30f1abd0a592231c1 | /stackoverflow/venv/lib/python3.6/site-packages/twisted/conch/test/test_conch.py | dbbe3beb5646d0d4a32b80d2eb395ec44f5e24af | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
]
| permissive | wistbean/learn_python3_spider | 14914b63691ac032955ba1adc29ad64976d80e15 | 40861791ec4ed3bbd14b07875af25cc740f76920 | refs/heads/master | 2023-08-16T05:42:27.208302 | 2023-03-30T17:03:58 | 2023-03-30T17:03:58 | 179,152,420 | 14,403 | 3,556 | MIT | 2022-05-20T14:08:34 | 2019-04-02T20:19:54 | Python | UTF-8 | Python | false | false | 25,140 | py | # -*- test-case-name: twisted.conch.test.test_conch -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
import os, sys, socket
import subprocess
from itertools import count
from zope.interface import implementer
from twisted.python.reflect import requireModule
cryptography = requireModule("cryptography")
from twisted.conch.error import ConchError
if cryptography:
from twisted.conch.avatar import ConchUser
from twisted.conch.ssh.session import ISession, SSHSession, wrapProtocol
else:
from twisted.conch.interfaces import ISession
class ConchUser: pass
from twisted.cred import portal
from twisted.internet import reactor, defer, protocol
from twisted.internet.error import ProcessExitedAlready
from twisted.internet.task import LoopingCall
from twisted.internet.utils import getProcessValue
from twisted.python import filepath, log, runtime
from twisted.python.compat import unicode
from twisted.trial import unittest
try:
from twisted.conch.scripts.conch import SSHSession as StdioInteractingSession
except ImportError as e:
StdioInteractingSession = None
_reason = str(e)
del e
from twisted.conch.test.test_ssh import ConchTestRealm
from twisted.python.procutils import which
from twisted.conch.test.keydata import publicRSA_openssh, privateRSA_openssh
from twisted.conch.test.keydata import publicDSA_openssh, privateDSA_openssh
try:
from twisted.conch.test.test_ssh import ConchTestServerFactory, \
conchTestPublicKeyChecker
except ImportError:
pass
try:
import cryptography
except ImportError:
cryptography = None
try:
import pyasn1
except ImportError:
pyasn1 = None
def _has_ipv6():
""" Returns True if the system can bind an IPv6 address."""
sock = None
has_ipv6 = False
try:
sock = socket.socket(socket.AF_INET6)
sock.bind(('::1', 0))
has_ipv6 = True
except socket.error:
pass
if sock:
sock.close()
return has_ipv6
HAS_IPV6 = _has_ipv6()
class FakeStdio(object):
"""
A fake for testing L{twisted.conch.scripts.conch.SSHSession.eofReceived} and
L{twisted.conch.scripts.cftp.SSHSession.eofReceived}.
@ivar writeConnLost: A flag which records whether L{loserWriteConnection}
has been called.
"""
writeConnLost = False
def loseWriteConnection(self):
"""
Record the call to loseWriteConnection.
"""
self.writeConnLost = True
class StdioInteractingSessionTests(unittest.TestCase):
"""
Tests for L{twisted.conch.scripts.conch.SSHSession}.
"""
if StdioInteractingSession is None:
skip = _reason
def test_eofReceived(self):
"""
L{twisted.conch.scripts.conch.SSHSession.eofReceived} loses the
write half of its stdio connection.
"""
stdio = FakeStdio()
channel = StdioInteractingSession()
channel.stdio = stdio
channel.eofReceived()
self.assertTrue(stdio.writeConnLost)
class Echo(protocol.Protocol):
def connectionMade(self):
log.msg('ECHO CONNECTION MADE')
def connectionLost(self, reason):
log.msg('ECHO CONNECTION DONE')
def dataReceived(self, data):
self.transport.write(data)
if b'\n' in data:
self.transport.loseConnection()
class EchoFactory(protocol.Factory):
protocol = Echo
class ConchTestOpenSSHProcess(protocol.ProcessProtocol):
"""
Test protocol for launching an OpenSSH client process.
@ivar deferred: Set by whatever uses this object. Accessed using
L{_getDeferred}, which destroys the value so the Deferred is not
fired twice. Fires when the process is terminated.
"""
deferred = None
buf = b''
def _getDeferred(self):
d, self.deferred = self.deferred, None
return d
def outReceived(self, data):
self.buf += data
def processEnded(self, reason):
"""
Called when the process has ended.
@param reason: a Failure giving the reason for the process' end.
"""
if reason.value.exitCode != 0:
self._getDeferred().errback(
ConchError("exit code was not 0: {}".format(
reason.value.exitCode)))
else:
buf = self.buf.replace(b'\r\n', b'\n')
self._getDeferred().callback(buf)
class ConchTestForwardingProcess(protocol.ProcessProtocol):
"""
Manages a third-party process which launches a server.
Uses L{ConchTestForwardingPort} to connect to the third-party server.
Once L{ConchTestForwardingPort} has disconnected, kill the process and fire
a Deferred with the data received by the L{ConchTestForwardingPort}.
@ivar deferred: Set by whatever uses this object. Accessed using
L{_getDeferred}, which destroys the value so the Deferred is not
fired twice. Fires when the process is terminated.
"""
deferred = None
def __init__(self, port, data):
"""
@type port: L{int}
@param port: The port on which the third-party server is listening.
(it is assumed that the server is running on localhost).
@type data: L{str}
@param data: This is sent to the third-party server. Must end with '\n'
in order to trigger a disconnect.
"""
self.port = port
self.buffer = None
self.data = data
def _getDeferred(self):
d, self.deferred = self.deferred, None
return d
def connectionMade(self):
self._connect()
def _connect(self):
"""
Connect to the server, which is often a third-party process.
Tries to reconnect if it fails because we have no way of determining
exactly when the port becomes available for listening -- we can only
know when the process starts.
"""
cc = protocol.ClientCreator(reactor, ConchTestForwardingPort, self,
self.data)
d = cc.connectTCP('127.0.0.1', self.port)
d.addErrback(self._ebConnect)
return d
def _ebConnect(self, f):
reactor.callLater(.1, self._connect)
def forwardingPortDisconnected(self, buffer):
"""
The network connection has died; save the buffer of output
from the network and attempt to quit the process gracefully,
and then (after the reactor has spun) send it a KILL signal.
"""
self.buffer = buffer
self.transport.write(b'\x03')
self.transport.loseConnection()
reactor.callLater(0, self._reallyDie)
def _reallyDie(self):
try:
self.transport.signalProcess('KILL')
except ProcessExitedAlready:
pass
def processEnded(self, reason):
"""
Fire the Deferred at self.deferred with the data collected
from the L{ConchTestForwardingPort} connection, if any.
"""
self._getDeferred().callback(self.buffer)
class ConchTestForwardingPort(protocol.Protocol):
"""
Connects to server launched by a third-party process (managed by
L{ConchTestForwardingProcess}) sends data, then reports whatever it
received back to the L{ConchTestForwardingProcess} once the connection
is ended.
"""
def __init__(self, protocol, data):
"""
@type protocol: L{ConchTestForwardingProcess}
@param protocol: The L{ProcessProtocol} which made this connection.
@type data: str
@param data: The data to be sent to the third-party server.
"""
self.protocol = protocol
self.data = data
def connectionMade(self):
self.buffer = b''
self.transport.write(self.data)
def dataReceived(self, data):
self.buffer += data
def connectionLost(self, reason):
self.protocol.forwardingPortDisconnected(self.buffer)
def _makeArgs(args, mod="conch"):
start = [sys.executable, '-c'
"""
### Twisted Preamble
import sys, os
path = os.path.abspath(sys.argv[0])
while os.path.dirname(path) != path:
if os.path.basename(path).startswith('Twisted'):
sys.path.insert(0, path)
break
path = os.path.dirname(path)
from twisted.conch.scripts.%s import run
run()""" % mod]
madeArgs = []
for arg in start + list(args):
if isinstance(arg, unicode):
arg = arg.encode("utf-8")
madeArgs.append(arg)
return madeArgs
class ConchServerSetupMixin:
if not cryptography:
skip = "can't run without cryptography"
if not pyasn1:
skip = "Cannot run without PyASN1"
realmFactory = staticmethod(lambda: ConchTestRealm(b'testuser'))
def _createFiles(self):
for f in ['rsa_test','rsa_test.pub','dsa_test','dsa_test.pub',
'kh_test']:
if os.path.exists(f):
os.remove(f)
with open('rsa_test','wb') as f:
f.write(privateRSA_openssh)
with open('rsa_test.pub','wb') as f:
f.write(publicRSA_openssh)
with open('dsa_test.pub','wb') as f:
f.write(publicDSA_openssh)
with open('dsa_test','wb') as f:
f.write(privateDSA_openssh)
os.chmod('dsa_test', 33152)
os.chmod('rsa_test', 33152)
with open('kh_test','wb') as f:
f.write(b'127.0.0.1 '+publicRSA_openssh)
def _getFreePort(self):
s = socket.socket()
s.bind(('', 0))
port = s.getsockname()[1]
s.close()
return port
def _makeConchFactory(self):
"""
Make a L{ConchTestServerFactory}, which allows us to start a
L{ConchTestServer} -- i.e. an actually listening conch.
"""
realm = self.realmFactory()
p = portal.Portal(realm)
p.registerChecker(conchTestPublicKeyChecker())
factory = ConchTestServerFactory()
factory.portal = p
return factory
def setUp(self):
self._createFiles()
self.conchFactory = self._makeConchFactory()
self.conchFactory.expectedLoseConnection = 1
self.conchServer = reactor.listenTCP(0, self.conchFactory,
interface="127.0.0.1")
self.echoServer = reactor.listenTCP(0, EchoFactory())
self.echoPort = self.echoServer.getHost().port
if HAS_IPV6:
self.echoServerV6 = reactor.listenTCP(0, EchoFactory(), interface="::1")
self.echoPortV6 = self.echoServerV6.getHost().port
def tearDown(self):
try:
self.conchFactory.proto.done = 1
except AttributeError:
pass
else:
self.conchFactory.proto.transport.loseConnection()
deferreds = [
defer.maybeDeferred(self.conchServer.stopListening),
defer.maybeDeferred(self.echoServer.stopListening),
]
if HAS_IPV6:
deferreds.append(defer.maybeDeferred(self.echoServerV6.stopListening))
return defer.gatherResults(deferreds)
class ForwardingMixin(ConchServerSetupMixin):
"""
Template class for tests of the Conch server's ability to forward arbitrary
protocols over SSH.
These tests are integration tests, not unit tests. They launch a Conch
server, a custom TCP server (just an L{EchoProtocol}) and then call
L{execute}.
L{execute} is implemented by subclasses of L{ForwardingMixin}. It should
cause an SSH client to connect to the Conch server, asking it to forward
data to the custom TCP server.
"""
def test_exec(self):
"""
Test that we can use whatever client to send the command "echo goodbye"
to the Conch server. Make sure we receive "goodbye" back from the
server.
"""
d = self.execute('echo goodbye', ConchTestOpenSSHProcess())
return d.addCallback(self.assertEqual, b'goodbye\n')
def test_localToRemoteForwarding(self):
"""
Test that we can use whatever client to forward a local port to a
specified port on the server.
"""
localPort = self._getFreePort()
process = ConchTestForwardingProcess(localPort, b'test\n')
d = self.execute('', process,
sshArgs='-N -L%i:127.0.0.1:%i'
% (localPort, self.echoPort))
d.addCallback(self.assertEqual, b'test\n')
return d
def test_remoteToLocalForwarding(self):
"""
Test that we can use whatever client to forward a port from the server
to a port locally.
"""
localPort = self._getFreePort()
process = ConchTestForwardingProcess(localPort, b'test\n')
d = self.execute('', process,
sshArgs='-N -R %i:127.0.0.1:%i'
% (localPort, self.echoPort))
d.addCallback(self.assertEqual, b'test\n')
return d
# Conventionally there is a separate adapter object which provides ISession for
# the user, but making the user provide ISession directly works too. This isn't
# a full implementation of ISession though, just enough to make these tests
# pass.
@implementer(ISession)
class RekeyAvatar(ConchUser):
"""
This avatar implements a shell which sends 60 numbered lines to whatever
connects to it, then closes the session with a 0 exit status.
60 lines is selected as being enough to send more than 2kB of traffic, the
amount the client is configured to initiate a rekey after.
"""
def __init__(self):
ConchUser.__init__(self)
self.channelLookup[b'session'] = SSHSession
def openShell(self, transport):
"""
Write 60 lines of data to the transport, then exit.
"""
proto = protocol.Protocol()
proto.makeConnection(transport)
transport.makeConnection(wrapProtocol(proto))
# Send enough bytes to the connection so that a rekey is triggered in
# the client.
def write(counter):
i = next(counter)
if i == 60:
call.stop()
transport.session.conn.sendRequest(
transport.session, b'exit-status', b'\x00\x00\x00\x00')
transport.loseConnection()
else:
line = "line #%02d\n" % (i,)
line = line.encode("utf-8")
transport.write(line)
# The timing for this loop is an educated guess (and/or the result of
# experimentation) to exercise the case where a packet is generated
# mid-rekey. Since the other side of the connection is (so far) the
# OpenSSH command line client, there's no easy way to determine when the
# rekey has been initiated. If there were, then generating a packet
# immediately at that time would be a better way to test the
# functionality being tested here.
call = LoopingCall(write, count())
call.start(0.01)
def closed(self):
"""
Ignore the close of the session.
"""
class RekeyRealm:
"""
This realm gives out new L{RekeyAvatar} instances for any avatar request.
"""
def requestAvatar(self, avatarID, mind, *interfaces):
return interfaces[0], RekeyAvatar(), lambda: None
class RekeyTestsMixin(ConchServerSetupMixin):
"""
TestCase mixin which defines tests exercising L{SSHTransportBase}'s handling
of rekeying messages.
"""
realmFactory = RekeyRealm
def test_clientRekey(self):
"""
After a client-initiated rekey is completed, application data continues
to be passed over the SSH connection.
"""
process = ConchTestOpenSSHProcess()
d = self.execute("", process, '-o RekeyLimit=2K')
def finished(result):
expectedResult = '\n'.join(['line #%02d' % (i,) for i in range(60)]) + '\n'
expectedResult = expectedResult.encode("utf-8")
self.assertEqual(result, expectedResult)
d.addCallback(finished)
return d
class OpenSSHClientMixin:
if not which('ssh'):
skip = "no ssh command-line client available"
def execute(self, remoteCommand, process, sshArgs=''):
"""
Connects to the SSH server started in L{ConchServerSetupMixin.setUp} by
running the 'ssh' command line tool.
@type remoteCommand: str
@param remoteCommand: The command (with arguments) to run on the
remote end.
@type process: L{ConchTestOpenSSHProcess}
@type sshArgs: str
@param sshArgs: Arguments to pass to the 'ssh' process.
@return: L{defer.Deferred}
"""
# PubkeyAcceptedKeyTypes does not exist prior to OpenSSH 7.0 so we
# first need to check if we can set it. If we can, -V will just print
# the version without doing anything else; if we can't, we will get a
# configuration error.
d = getProcessValue(
which('ssh')[0], ('-o', 'PubkeyAcceptedKeyTypes=ssh-dss', '-V'))
def hasPAKT(status):
if status == 0:
opts = '-oPubkeyAcceptedKeyTypes=ssh-dss '
else:
opts = ''
process.deferred = defer.Deferred()
# Pass -F /dev/null to avoid the user's configuration file from
# being loaded, as it may contain settings that cause our tests to
# fail or hang.
cmdline = ('ssh -2 -l testuser -p %i '
'-F /dev/null '
'-oUserKnownHostsFile=kh_test '
'-oPasswordAuthentication=no '
# Always use the RSA key, since that's the one in kh_test.
'-oHostKeyAlgorithms=ssh-rsa '
'-a '
'-i dsa_test ') + opts + sshArgs + \
' 127.0.0.1 ' + remoteCommand
port = self.conchServer.getHost().port
cmds = (cmdline % port).split()
encodedCmds = []
for cmd in cmds:
if isinstance(cmd, unicode):
cmd = cmd.encode("utf-8")
encodedCmds.append(cmd)
reactor.spawnProcess(process, which('ssh')[0], encodedCmds)
return process.deferred
return d.addCallback(hasPAKT)
class OpenSSHKeyExchangeTests(ConchServerSetupMixin, OpenSSHClientMixin,
unittest.TestCase):
"""
Tests L{SSHTransportBase}'s key exchange algorithm compatibility with
OpenSSH.
"""
def assertExecuteWithKexAlgorithm(self, keyExchangeAlgo):
"""
Call execute() method of L{OpenSSHClientMixin} with an ssh option that
forces the exclusive use of the key exchange algorithm specified by
keyExchangeAlgo
@type keyExchangeAlgo: L{str}
@param keyExchangeAlgo: The key exchange algorithm to use
@return: L{defer.Deferred}
"""
kexAlgorithms = []
try:
output = subprocess.check_output([which('ssh')[0], '-Q', 'kex'],
stderr=subprocess.STDOUT)
if not isinstance(output, str):
output = output.decode("utf-8")
kexAlgorithms = output.split()
except:
pass
if keyExchangeAlgo not in kexAlgorithms:
raise unittest.SkipTest(
"{} not supported by ssh client".format(
keyExchangeAlgo))
d = self.execute('echo hello', ConchTestOpenSSHProcess(),
'-oKexAlgorithms=' + keyExchangeAlgo)
return d.addCallback(self.assertEqual, b'hello\n')
def test_ECDHSHA256(self):
"""
The ecdh-sha2-nistp256 key exchange algorithm is compatible with
OpenSSH
"""
return self.assertExecuteWithKexAlgorithm(
'ecdh-sha2-nistp256')
def test_ECDHSHA384(self):
"""
The ecdh-sha2-nistp384 key exchange algorithm is compatible with
OpenSSH
"""
return self.assertExecuteWithKexAlgorithm(
'ecdh-sha2-nistp384')
def test_ECDHSHA521(self):
"""
The ecdh-sha2-nistp521 key exchange algorithm is compatible with
OpenSSH
"""
return self.assertExecuteWithKexAlgorithm(
'ecdh-sha2-nistp521')
def test_DH_GROUP14(self):
"""
The diffie-hellman-group14-sha1 key exchange algorithm is compatible
with OpenSSH.
"""
return self.assertExecuteWithKexAlgorithm(
'diffie-hellman-group14-sha1')
def test_DH_GROUP_EXCHANGE_SHA1(self):
"""
The diffie-hellman-group-exchange-sha1 key exchange algorithm is
compatible with OpenSSH.
"""
return self.assertExecuteWithKexAlgorithm(
'diffie-hellman-group-exchange-sha1')
def test_DH_GROUP_EXCHANGE_SHA256(self):
"""
The diffie-hellman-group-exchange-sha256 key exchange algorithm is
compatible with OpenSSH.
"""
return self.assertExecuteWithKexAlgorithm(
'diffie-hellman-group-exchange-sha256')
def test_unsupported_algorithm(self):
"""
The list of key exchange algorithms supported
by OpenSSH client is obtained with C{ssh -Q kex}.
"""
self.assertRaises(unittest.SkipTest,
self.assertExecuteWithKexAlgorithm,
'unsupported-algorithm')
class OpenSSHClientForwardingTests(ForwardingMixin, OpenSSHClientMixin,
unittest.TestCase):
"""
Connection forwarding tests run against the OpenSSL command line client.
"""
def test_localToRemoteForwardingV6(self):
"""
Forwarding of arbitrary IPv6 TCP connections via SSH.
"""
localPort = self._getFreePort()
process = ConchTestForwardingProcess(localPort, b'test\n')
d = self.execute('', process,
sshArgs='-N -L%i:[::1]:%i'
% (localPort, self.echoPortV6))
d.addCallback(self.assertEqual, b'test\n')
return d
if not HAS_IPV6:
test_localToRemoteForwardingV6.skip = "Requires IPv6 support"
class OpenSSHClientRekeyTests(RekeyTestsMixin, OpenSSHClientMixin,
unittest.TestCase):
"""
Rekeying tests run against the OpenSSL command line client.
"""
class CmdLineClientTests(ForwardingMixin, unittest.TestCase):
"""
Connection forwarding tests run against the Conch command line client.
"""
if runtime.platformType == 'win32':
skip = "can't run cmdline client on win32"
def execute(self, remoteCommand, process, sshArgs='', conchArgs=None):
"""
As for L{OpenSSHClientTestCase.execute}, except it runs the 'conch'
command line tool, not 'ssh'.
"""
if conchArgs is None:
conchArgs = []
process.deferred = defer.Deferred()
port = self.conchServer.getHost().port
cmd = ('-p {} -l testuser '
'--known-hosts kh_test '
'--user-authentications publickey '
'-a '
'-i dsa_test '
'-v '.format(port) + sshArgs +
' 127.0.0.1 ' + remoteCommand)
cmds = _makeArgs(conchArgs + cmd.split())
env = os.environ.copy()
env['PYTHONPATH'] = os.pathsep.join(sys.path)
encodedCmds = []
encodedEnv = {}
for cmd in cmds:
if isinstance(cmd, unicode):
cmd = cmd.encode("utf-8")
encodedCmds.append(cmd)
for var in env:
val = env[var]
if isinstance(var, unicode):
var = var.encode("utf-8")
if isinstance(val, unicode):
val = val.encode("utf-8")
encodedEnv[var] = val
reactor.spawnProcess(process, sys.executable, encodedCmds, env=encodedEnv)
return process.deferred
def test_runWithLogFile(self):
"""
It can store logs to a local file.
"""
def cb_check_log(result):
logContent = logPath.getContent()
self.assertIn(b'Log opened.', logContent)
logPath = filepath.FilePath(self.mktemp())
d = self.execute(
remoteCommand='echo goodbye',
process=ConchTestOpenSSHProcess(),
conchArgs=['--log', '--logfile', logPath.path,
'--host-key-algorithms', 'ssh-rsa']
)
d.addCallback(self.assertEqual, b'goodbye\n')
d.addCallback(cb_check_log)
return d
def test_runWithNoHostAlgorithmsSpecified(self):
"""
Do not use --host-key-algorithms flag on command line.
"""
d = self.execute(
remoteCommand='echo goodbye',
process=ConchTestOpenSSHProcess()
)
d.addCallback(self.assertEqual, b'goodbye\n')
return d
| [
"[email protected]"
]
| |
c575a9c2ea029a2616fb7aa34165dc2b935eb63a | 3b863f7e7efea09f5a120eb8c323e5a3742b82b3 | /LevelSelection_Page/LevelSelection_Page.pyde | 23a2c39a016791744f8abcef5874cfa5058a187b | []
| no_license | TriceG/DNA_Project | b6096fbc91c35621b659dd5154a1972a9674d881 | 469df295120fbfe32070fd973c55f36b2af99341 | refs/heads/master | 2021-01-19T21:32:24.914550 | 2017-06-20T14:15:27 | 2017-06-20T14:15:27 | 88,661,601 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,072 | pyde | def setup():
background(37, 154, 247)
size(800, 500)
def draw():
fill(225)
rectMode(CENTER)
#beginerButton
rect(400, 175, 150, 50)
#intermediateButton
rect(400, 275, 239, 50)
#advancedButton
rect(400, 375, 190, 50)
textSize(30)
#title
text("Select a Level:", 300, 100)
fill(0)
#button text
text("BEGINER", 337, 185)
text("INTERMEDIATE", 292, 285)
text("ADVANCED", 316, 385)
def mouseClicked():
#BEGINER button clicked
if mouseX > 325 and mouseX < 475 and mouseY > 150 and mouseY < 200:
#go to easy mode
#Import Easy Mode
background(194, 247, 37)
#INTERMEDIATE button clicked
if mouseX > 280.5 and mouseX < 519.5 and mouseY > 250 and mouseY < 300:
#go to medium mode
#Import Medium mode
background(47, 247, 37)
#ADVANCED button clicked
if mouseX > 305 and mouseX < 495 and mouseY > 350 and mouseY < 400:
#go to hard mode
#Import Hard Mode
background(27, 167, 20) | [
"none@none"
]
| none@none |
8dbbb798fd7d365ab6925e56271b3e38fd9151e3 | d229480fb037442bfc2d895e300fdab89d06e1f6 | /examples/train_cornac.py | 739d5ecca174fe68cffed861aa5a7481900cda49 | []
| no_license | anonymcodes/t-vbr | 939c8eebed4e6ecbe4e85b26b296b5e16bb0b445 | c8d37aee05de5060a98fac74421a28db0a7eaa4c | refs/heads/master | 2023-08-09T01:55:12.295567 | 2020-12-03T02:06:18 | 2020-12-03T02:06:18 | 264,423,776 | 2 | 0 | null | 2023-07-23T17:09:20 | 2020-05-16T11:40:02 | Python | UTF-8 | Python | false | false | 6,934 | py | import numpy as np
import pandas as pd
import pickle
import argparse
import json
import torch.optim as optim
from torch import Tensor
from torch.utils.data import DataLoader
import torch
import torch.nn as nn
import torch.optim as optim
from tqdm import tqdm
from livelossplot import PlotLosses
import GPUtil
import os
import sys
from datetime import datetime
sys.path.append("../")
import random
import cornac
from cornac.eval_methods.base_method import BaseMethod
base_string = "abcdefghijklmnopqrstuvwxyz"
from scipy.sparse import csr_matrix
from beta_rec.utils.monitor import Monitor
from beta_rec.utils.common_util import save_to_csv
from beta_rec.utils import data_util
from beta_rec.utils import logger
import beta_rec.utils.constants as Constants
from beta_rec.datasets import data_load
import beta_rec.utils.evaluation as eval_model
import beta_rec.utils.constants as Constants
from scipy.sparse import csr_matrix
import pandas as pd
def parse_args():
parser = argparse.ArgumentParser(description="Run cornac model..")
# If the following settings are specified with command line,
# these settings will be updated.
parser.add_argument(
"--config_file",
default="../configs/cornac_default.json",
nargs="?",
type=str,
help="Options are: tafeng, dunnhunmby and instacart",
)
parser.add_argument(
"--dataset",
nargs="?",
type=str,
help="Options are: tafeng, dunnhunmby and instacart",
)
parser.add_argument(
"--data_split",
nargs="?",
type=str,
help="Options are: leave_one_out and temporal",
)
parser.add_argument(
"--test_percent",
nargs="?",
type=float,
help="Options are: leave_one_out and temporal",
)
parser.add_argument(
"--root_dir", nargs="?", type=str, help="working directory",
)
parser.add_argument(
"--toy", nargs="?", type=int, help="working directory",
)
return parser.parse_args()
"""
update hyperparameters from command line
"""
def update_args(config, args):
# print(vars(args))
for k, v in vars(args).items():
if v != None:
config[k] = v
print("Received parameters form comand line:", k, v)
def my_eval(eval_data_df, model):
u_indices = eval_data_df[Constants.DEFAULT_USER_COL].to_numpy()
i_indices = eval_data_df[Constants.DEFAULT_ITEM_COL].to_numpy()
r_preds = np.fromiter(
(
model.score(user_idx, item_idx).item()
for user_idx, item_idx in zip(u_indices, i_indices)
),
dtype=np.float,
count=len(u_indices),
)
pred_df = pd.DataFrame(
{
Constants.DEFAULT_USER_COL: u_indices,
Constants.DEFAULT_ITEM_COL: i_indices,
Constants.DEFAULT_PREDICTION_COL: r_preds,
}
)
result_dic = {}
TOP_K = [5, 10, 20]
if type(TOP_K) != list:
TOP_K = [TOP_K]
if 10 not in TOP_K:
TOP_K.append(10)
metrics = ["ndcg_at_k", "precision_at_k", "recall_at_k", "map_at_k"]
for k in TOP_K:
for metric in metrics:
eval_metric = getattr(eval_model, metric)
result = eval_metric(eval_data_df, pred_df, k=k)
result_dic[metric + "@" + str(k)] = result
result_dic.update(config)
result_df = pd.DataFrame(result_dic, index=[0])
save_to_csv(result_df, config["result_file"])
if __name__ == "__main__":
# load config file from json
config = {}
args = parse_args()
update_args(config, args)
with open(config["config_file"]) as config_params:
print("loading config file", config["config_file"])
json_config = json.load(config_params)
json_config.update(config)
config = json_config
root_dir = config["root_dir"]
time_str = datetime.now().strftime("%Y%m%d_%H%M%S")
log_file = (
root_dir
+ "logs/cornac"
+ "_"
+ config["dataset"]
+ "_"
+ config["data_split"]
+ time_str
)
config["result_file"] = (
root_dir
+ "results/cornac"
+ "_"
+ config["dataset"]
+ "_"
+ config["data_split"]
+ ".csv"
)
"""
init logger
"""
logger.init_std_logger(log_file)
# cornac.eval_methods.base_method.rating_eval = rating_eval
# Load the built-in MovieLens 100K dataset (will be downloaded if not cached):
# Here we are comparing Biased MF, PMF, and BPR:
# pop = cornac.models.most_pop.recom_most_pop.MostPop(name="MostPop")
# mf = cornac.models.MF(
# k=10, max_iter=25, learning_rate=0.01, lambda_reg=0.02, use_bias=True, seed=123
# )
# pmf = cornac.models.PMF(
# k=10, max_iter=100, learning_rate=0.001, lambda_reg=0.001, seed=123
# )
# bpr = cornac.models.BPR(
# k=10, max_iter=200, learning_rate=0.001, lambda_reg=0.01, seed=123
# )
# vaecf = cornac.models.vaecf.recom_vaecf.VAECF(
# name="VAECF",
# k=10,
# autoencoder_structure=[20],
# act_fn="tanh",
# likelihood="mult",
# n_epochs=100,
# batch_size=100,
# learning_rate=0.001,
# beta=1.0,
# trainable=True,
# verbose=False,
# seed=None,
# use_gpu=True,
# )
# nmf = cornac.models.NMF(
# k=15,
# max_iter=50,
# learning_rate=0.005,
# lambda_u=0.06,
# lambda_v=0.06,
# lambda_bu=0.02,
# lambda_bi=0.02,
# use_bias=False,
# verbose=True,
# seed=123,
# )
neumf = cornac.models.ncf.recom_neumf.NeuMF(
name="NCF",
num_factors=8,
layers=(32, 16, 8),
act_fn="relu",
reg_mf=0.0,
reg_layers=(0.0, 0.0, 0.0, 0.0),
num_epochs=20,
batch_size=256,
num_neg=4,
lr=0.001,
learner="adam",
early_stopping=None,
trainable=True,
verbose=True,
seed=None,
)
# models = [pop, mf, pmf, bpr, vaecf, nmf, neumf]
models = [neumf]
# add our own eval
data = data_util.Dataset(config)
num_users = data.n_users
num_items = data.n_items
uid_map = data.user2id
iid_map = data.item2id
train_uir_tuple = [
data.train["col_user"].to_numpy(),
data.train["col_item"].to_numpy(),
data.train["col_rating"].to_numpy(),
]
train_data = cornac.data.Dataset(
num_users,
num_items,
uid_map,
iid_map,
train_uir_tuple,
timestamps=None,
seed=None,
)
test_df_li = data.test
for model in models:
config["model"] = str(model.__class__).split(".")[-1].replace(">", "").strip(
"'\""
) + datetime.now().strftime("_%Y%m%d_%H%M%S")
model.fit(train_data)
my_eval(test_df_li[0], model) | [
"[email protected]"
]
| |
24bd01eef13ac27c129556df9c4bdd7e0d6ad861 | 44b869c9ddcfd8afa429a6a4758c6acdac62f9c1 | /users/admin.py | c13af5a0c2a73efaf7790a0cc239c9c99a1fafdc | []
| no_license | paulitstep/blog-api | 7507394eb008c6c1bd30e5699bb33e9e37cfac52 | 5ce6d84495fa9b6d32b38d7d99412858ff3bc077 | refs/heads/main | 2023-04-06T12:56:00.364861 | 2021-04-16T09:28:09 | 2021-04-16T09:28:09 | 357,801,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 805 | py | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from users.models import NewUser
class UserAdminConfig(UserAdmin):
model = NewUser
search_fields = ('email', 'user_name',)
list_filter = ('email', 'user_name', 'is_staff', 'is_active')
list_display = ('email', 'id', 'user_name', 'is_staff', 'is_active')
ordering = ('-start_date',)
fieldsets = (
(None, {'fields': ('email', 'user_name',)}),
('Permissions', {'fields': ('is_staff', 'is_active',)}),
('Personal', {'fields': ('about',)}),
)
add_fieldsets = (
(None, {
'classes': ('wide',),
'fields': ('email', 'user_name', 'password1', 'password2', 'is_staff', 'is_active'), }),
)
admin.site.register(NewUser, UserAdminConfig)
| [
"[email protected]"
]
| |
17c45d94efa8018ba6165c376fcf4a8981629f48 | c5bc44b4bb7aa0b8e6df81c198e9803eb0f060ce | /pro_tracker/issue/views.py | 7a365ad081af225db4a559345972d6c6de5b7ae1 | []
| no_license | hyperloop11/Progress-tracking-website | 4821b1c17b04b223b1a20610b1612b11b0a54ce3 | 7c3bd77a0b0605994b001544fc809c1e52a18f82 | refs/heads/master | 2023-06-21T12:06:26.531345 | 2021-08-05T07:21:37 | 2021-08-05T07:21:37 | 298,636,249 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,218 | py | from django.shortcuts import render, get_object_or_404
from django.views.generic import (
ListView, DetailView,
CreateView, UpdateView,
)
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from .models import Issue
from django.contrib.auth.models import User, Permission
from .forms import IssueUpdateForm, CommentForm
from django.views.generic.edit import FormMixin
from django.urls import reverse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from notifications.signals import notify
def home(request):
context = {
'posts': Issue.objects.all()
}
return render(request, 'issue/home.html', context)
class IssueListView(ListView):
model = Issue
template_name='issue/home.html'
context_object_name='posts'
paginate_by=6
#ORDERING
def get_queryset(self):
return Issue.objects.filter(completed=False).order_by('-id')
class OldIssueListView(ListView):
model = Issue
template_name='issue/home.html'
context_object_name='posts'
paginate_by=6
#ORDERING
def get_queryset(self):
return Issue.objects.filter(completed=True).order_by('-id')
class IssueDetailView(FormMixin, DetailView):
model = Issue
form_class=CommentForm
def get_success_url(self):
return reverse('issue-detail', kwargs={'pk': self.object.id})
def get_context_data(self, **kwargs):
context = super(IssueDetailView, self).get_context_data(**kwargs)
context['form'] = CommentForm(initial={'issue': self.object.id, 'author': self.request.user})
return context
def post(self, request, *args, **kwargs):
self.object = self.get_object()
form = self.get_form()
if form.is_valid():
curr_issue = Issue.objects.get(pk=self.object.id)
for user in curr_issue.author.all() :
if self.request.user != user:
notify.send(
request.user,
recipient=user,
verb = 'commented on your issue',
target=curr_issue,
)
return self.form_valid(form)
else:
return self.form_invalid(form)
def form_valid(self, form):
form.save()
return super(IssueDetailView, self).form_valid(form)
class IssueCreateView(LoginRequiredMixin, CreateView):
model = Issue
fields= ['title', 'content', 'priority']
def form_valid(self, form):
form.save()
form.instance.author.add(self.request.user)
return super().form_valid(form)
def view_type(self):
return "Create"
class IssueUpdateView(LoginRequiredMixin, UserPassesTestMixin, UpdateView):
model = Issue
form_class = IssueUpdateForm
# leader =self.get_object().author.first()
# #author = forms.ModelChoiceField(queryset=User.objects.exclude(leader))
# form_class.fields['author'].queryset=User.objects.exclude(leader)
#form_class=UserForm
# def __init__(self, *args):
# super(IssueUpdateView, self).__init__(*args)
# leader =self.get_object().author.first()
# self.fields['author'].queryset = User.objects.exclude(leader)
def form_valid(self, form):
form.save()
form.instance.author.add(self.request.user)
return super().form_valid(form)
def test_func(self):
post= self.get_object()
if self.request.user in post.author.all() or self.request.user.has_perm('issue.change_issue'):
return True
else:
return False
def view_type(self):
return "Update"
#to fix kwargs in issue list view, better not inherit from listView and make a function.
def UserIssue(request,username):
#user = get_object_or_404( User,User.objects.get(username=username))
this_user = get_object_or_404(User, username=username)
posts = this_user.issue_set.filter(completed=False).order_by('-id')
paginator = Paginator(posts, 2) # Show 4 blogs per page.
page_number = request.GET.get('page', 1)
try:
page_obj = paginator.page(page_number)
except PageNotAnInteger:
page_obj = paginator.page(1)
except EmptyPage:
page_obj = paginator.page(paginator.num_pages)
context = {
'this_user': this_user,
#'posts': this_user.issue_set.all().order_by('-id'),
'posts': page_obj,
}
return render(request, 'issue/user_issues.html', context)
def UserIssueArchives(request,username):
this_user = get_object_or_404(User, username=username)
posts = this_user.issue_set.filter(completed=True).order_by('-id')
paginator = Paginator(posts, 2) # Show 4 blogs per page.
page_number = request.GET.get('page', 1)
try:
page_obj = paginator.page(page_number)
except PageNotAnInteger:
page_obj = paginator.page(1)
except EmptyPage:
page_obj = paginator.page(paginator.num_pages)
context = {
'this_user': this_user,
#'posts': this_user.issue_set.all().order_by('-id'),
'posts': page_obj,
}
return render(request, 'issue/user_issues.html', context) | [
"="
]
| = |
ff74906e1d238386e472c15bcbccc2be7332b80d | 07c6d3055eda7b1ddb16ce9444166ed311ce3219 | /clioinfra/api/api.py | 10ccb10f6b4e9681ba2e04d6ad25cbc7680efb5d | []
| no_license | IISH/dpe | 4df9b0576b5419e543c61ce9ef14380ddc4b5c03 | 6509b06aa03242f450766d4cb5d8984f14146b11 | refs/heads/master | 2021-01-10T17:52:54.775316 | 2016-05-04T09:50:46 | 2016-05-04T09:50:46 | 42,994,984 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 41,817 | py | # Copyright (C) 2015-2016 International Institute of Social History.
# @author Vyacheslav Tykhonov <[email protected]>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General 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 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/>.
#
# As a special exception, the copyright holders give permission to link the
# code of portions of this program with the OpenSSL library under certain
# conditions as described in each individual source file and distribute
# linked combinations including the program with the OpenSSL library. You
# must comply with the GNU Affero General Public License in all respects
# for all of the code used other than as permitted herein. If you modify
# file(s) with this exception, you may extend this exception to your
# version of the file(s), but you are not obligated to do so. If you do not
# wish to do so, delete this exception statement from your version. If you
# delete this exception statement from all source files in the program,
# then also delete it in the license file.
from flask import Flask, redirect, make_response, Response, render_template, request, send_from_directory
from twisted.web import http
import webbrowser
import json
import simplejson
import urllib2
import glob
import csv
import xlwt
import os
import shutil
import sys
import pprint
import collections
import ast
import getopt
import numpy as np
import stat
import pandas as pd
import random
import ConfigParser
from subprocess import Popen, PIPE, STDOUT
from random import randint
import brewer2mpl
import string
import pylab as plt
import re
from urllib import urlopen
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '../../modules')))
from advancedstatistics import loadpanel, statistics2table, handle2statistics, data2statistics, read_measure, statistics_tojson, advpanel2dict
from search import dataset_search, getindicators, dataverse_search, loadjson
import random, string
from download import get_papers, dataset2zip, compile2zip
from tabulardata import loadcodes, dataset_to_csv, load_api_data, countryset, json_dict, createframe, combinedata, data2panel, moderncodes, data2json
from config import configuration, dataverse2indicators, load_dataverse, findpid, load_metadata, load_fullmetadata, pidfrompanel
import matplotlib as mpl
from palettable.colorbrewer.sequential import Greys_8
from data2excel import panel2excel, individual_dataset
from historical import load_historical, histo
from scales import getcolors, showwarning, buildcategories, getscales, floattodec, combinerange, webscales, value2scale
from storage import *
from paneldata import build_panel, paneldatafilter, panel2dict, panel2csv
from datasets import *
from datacompiler import dataframe_compiler
from data2excel import panel2excel
from cliocore.configutils import Configuration, Utils, DataFilter
from cliocore.datasets import Dataset
# Function to create json from dict
def json_generator(c, jsondataname, data):
sqlnames = [desc[0] for desc in c.description]
jsonlist = []
jsonhash = {}
for valuestr in data:
datakeys = {}
for i in range(len(valuestr)):
name = sqlnames[i]
value = valuestr[i]
datakeys[name] = value
#print "%s %s", (name, value)
jsonlist.append(datakeys)
jsonhash[jsondataname] = jsonlist;
json_string = json.dumps(jsonhash, encoding="utf-8", sort_keys=True, indent=4)
return json_string
def randomword(length):
return ''.join(random.choice(string.lowercase) for i in range(length))
# Check if param is location
def is_location(param):
flag = re.match(r"c\[\d+\]", param)
try:
true = flag.group(0)
except:
true = 0
return true
# Download ZIP archive
def downloadzip(pid):
DEBUG = 0
(fullpath) = ('')
fullmetadata = {}
logscale = 0
config = configuration()
config['remote'] = 'on'
API_TOKEN = config['key']
HOSTNAME = config['dataverseroot']
cmd = "--insecure -u " + API_TOKEN + ": " + HOSTNAME + "/dvn/api/data-deposit/v1.1/swordv2/statement/study/"
tmpdir = config['tmpdir']
filerandom = randomword(10)
#filerandom = '12345'
arc = "data" + filerandom + ".zip"
filename = filerandom
finaldir = config['path'] + '/static/tmp'
# ToDO
if filename:
finaldir = str(finaldir) + '/' + str(filename)
tmpdir = str(tmpdir) + '/' + str(filename)
try:
os.mkdir(tmpdir)
os.mkdir(finaldir)
except:
donothing = 'ok'
customyear = ''
fromyear = request.args.get('y[min]')
toyear = request.args.get('y[max]')
historical = request.args.get('type[0]')
(handles, pidslist) = pidfrompanel(pid)
try:
if pidslist:
fullmetadata = load_fullmetadata(pidslist)
except:
showwarning = 1
# Log scales switch
if request.args.get('logscale'):
logscale = 1
# Select countries
customcountrycodes = ''
f = request.args
for key in f.keys():
if is_location(key):
for value in sorted(f.getlist(key)):
customcountrycodes = str(customcountrycodes) + str(value) + ','
if customcountrycodes:
customcountrycodes = customcountrycodes[:-1]
if handles:
if historical:
api = config['apiroot'] + "/collabs/static/data/historical.json"
(regions, countries, ctr2reg, webmapper, geocoder) = histo(api, '')
hist = countries
else:
hist = ''
(classification, geodataset, title, units) = content2dataframe(config, config['geocoderhandle'])
#geocoder = buildgeocoder(dataset, config)
(modern, historical) = loadgeocoder(config, dataset, 'geocoder')
for handle in handles:
#if remote:
# (class1, dataset) = loaddataset_fromurl(config, handle)
#else:
# dataset = loaddataset(handles)
#(cfilter, notint) = selectint(activeindex.values)
#(moderndata, historicaldata) = loadgeocoder(dataset, '')
# CHANGE
#return str(dataset.index)
(header, panelcells, codes, datahub, data, handle2ind, unit2ind, original) = data2panel(handles, customcountrycodes, fromyear, toyear, customyear, hist, logscale)
filename = filename + '.xls'
fullpath = panel2excel(finaldir, filename, header, panelcells, fullmetadata)
else:
# Clio format download
zipfile = get_papers(HOSTNAME, API_TOKEN, cmd, pid, tmpdir, arc, finaldir)
(alonepid, revid, cliohandle, clearpid) = findpid(pid)
if alonepid:
handles = [ clearpid ]
for pid in handles:
if historical:
api = config['apiroot'] + "/collabs/static/data/historical.json"
(regions, countries, ctr2reg, webmapper, geocoder) = histo(api, '')
hist = countries
else:
hist = ''
filename = filename + '.xls'
# 2DEBUG
(header, panelcells, codes, datahub, data, handle2ind, unit2ind, originalvalues) = data2panel(handles, customcountrycodes, fromyear, toyear, customyear, hist, logscale)
#codes = hist
#return str(fullmetadata)
metadata = fullmetadata
result = individual_dataset(finaldir, filename, handle2ind[pid], unit2ind[pid], datahub, data[pid], codes, metadata)
try:
for everypid in handles:
# Download papers
zipfile = get_papers(HOSTNAME, API_TOKEN, cmd, everypid, tmpdir, arc, finaldir)
except:
nopapers = 1
compile2zip(finaldir, arc)
filename = arc
return filename
def tableapi():
# years in filter
config = configuration()
switch = 'modern'
datafilter = {}
datafilter['ctrlist'] = ''
customyear = ''
fromyear = '1500'
datafilter['startyear'] = fromyear
toyear = '2012'
datafilter['endyear'] = toyear
customcountrycodes = ''
(aggr, logscale, dataset, handles) = ('','','',[])
# Select countries
f = request.args
for key in f.keys():
if key == 'loc':
for value in sorted(f.getlist(key)):
if value:
customcountrycodes = str(customcountrycodes) + str(value) + ','
if customcountrycodes:
customcountrycodes = customcountrycodes[:-1]
#handle = "F16UDU"
# HANDLE
if request.args.get('handle'):
handledataset = request.args.get('handle')
try:
(pids, pidslist) = pidfrompanel(handledataset)
handles.append(pids[0])
except:
handles.append(handledataset)
nopanel = 'yes'
if request.args.get('dataset'):
dataset = request.args.get('dataset')
if request.args.get('hist'):
switch = 'historical'
if request.args.get('ctrlist'):
customcountrycodes = ''
tmpcustomcountrycodes = request.args.get('ctrlist')
c = tmpcustomcountrycodes.split(',')
for ids in sorted(c):
if ids:
customcountrycodes = str(customcountrycodes) + str(ids) + ','
customcountrycodes = customcountrycodes[:-1]
datafilter['ctrlist'] = customcountrycodes
if not customcountrycodes:
customcountrycodes = '528'
if request.args.get('yearmin'):
fromyear = request.args.get('yearmin')
datafilter['startyear'] = fromyear
if request.args.get('yearmax'):
toyear = request.args.get('yearmax')
datafilter['endyear'] = toyear
if request.args.get('aggr'):
aggr = request.args.get('aggr')
# Log scales switch
if request.args.get('logscale'):
logscale = request.args.get('logscale')
DEBUG = 0
old = ''
if old:
apifile = str(dataset) + ".json"
jsonapi = config['apiroot'] + "/collabs/static/data/" + apifile
dataframe = load_api_data(jsonapi, '')
loccodes = loadcodes(dataframe)
(ctr, header) = countryset(customcountrycodes, loccodes)
indicator = ''
(frame, years, values, dates, original) = createframe(indicator, loccodes, dataframe, customyear, fromyear, toyear, ctr, logscale, DEBUG)
names = ['indicator', 'm', 'ctrcode', 'country', 'year', 'intcode', 'value', 'id']
(csvdata, aggrdata) = combinedata(ctr, frame, loccodes)
# New version is fast
else:
(geocoder, geolist, oecd2webmapper, modern, historical) = request_geocoder(config, '')
(origdata, maindata, metadata) = request_datasets(config, switch, modern, historical, handles, geolist)
(subsets, panel) = ({}, [])
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
if not datasubset.empty:
datasubset = datasubset.dropna(how='all')
panel.append(datasubset)
subsets[handle] = datasubset
classification = modern
if switch == 'historical':
classification = historical
(csvdata, aggrdata) = dataset_to_csv(config, subsets[handles[0]], classification)
if aggr:
csvdata = aggrdata
return (csvdata, aggrdata)
# Search API
def simplesearch(root, qurl, apiroot):
# Load topics
#topicurl = apiroot + "/collabs/static/data/dataframe100_0.json"
topicurl = apiroot + "/api/datasets?handle=Panel[%27hdl:10622/0PCZX5%27]"
topicsframe = loadjson(topicurl)
for item in topicsframe:
topics = item['data']
# Input
IDS = getindicators(qurl)
datasets = dataset_search(root, IDS, topics)
return datasets
def load_indicators(filename):
config = configuration()
csvfile = config['clearance'] + "/collabs/static/data/" + filename
ufile = urlopen(csvfile)
data = pd.read_csv(ufile, delimiter='\t')
df = data
if csvfile:
d = [
dict([
(colname, row[i])
for i,colname in enumerate(df.columns)
])
for row in df.values
]
return json.dumps(d)
def load_api_data1(apiurl, fileID):
jsondataurl = apiurl
req = urllib2.Request(jsondataurl)
opener = urllib2.build_opener()
f = opener.open(req)
dataframe = simplejson.load(f, "utf-8")
return dataframe
def searchdata(query):
config = configuration()
searchapi = config['dataverseroot'] + "/api/search?q=" + query + "&key=" + config['key']
dataframe = load_api_data(searchapi, '')
return json.dumps(dataframe)
def medianlimits(dataframe):
scale = []
frame1 = []
frame2 = []
avg = dataframe.median()
for value in dataframe:
if value <= avg:
frame1.append(value)
else:
frame2.append(value)
avg1 = pd.DataFrame(frame1).median()
avg2 = pd.DataFrame(frame2).median()
return (dataframe.min(), int(avg1), int(avg), int(avg2), dataframe.max())
def meanlimits(dataframe):
scale = []
frame1 = []
frame2 = []
avg = dataframe.mean()
for value in dataframe:
if value <= avg:
frame1.append(value)
else:
frame2.append(value)
avg1 = pd.DataFrame(frame1).mean()
avg2 = pd.DataFrame(frame2).mean()
return (dataframe.min(), int(avg1), int(avg), int(avg2), dataframe.max())
def round_it(x):
g = round(x)
if request.args.get('code'):
m = r'LCI'
isindex = re.match(m, request.args.get('code'))
if isindex:
g = float("{0:.5f}".format(x))
return g
app = Flask(__name__)
@app.route('/')
def test():
description = 'nlgis2 API Service v.0.1<br>/api/maps (map polygons)<br>/api/data (data services)<br>'
return description
@app.route('/demo')
def demo():
sql = "select * from datasets.topics where 1=1";
sql = sqlfilter(sql)
return sql
@app.route('/progress')
def open():
root = ''
resp = make_response(render_template('progress.html', download=root))
return resp
@app.route('/treemap')
def treemapweb():
(thisyear, datafilter, yearmin, lastyear, handles) = (0, {}, 1500, 2010, [])
(action, switch, geodataset) = ('', 'modern', '')
config = configuration()
datafilter['startyear'] = yearmin
datafilter['endyear'] = lastyear
datafilter['ctrlist'] = ''
handle = ''
if request.args.get('handle'):
handledataset = request.args.get('handle')
try:
(pids, pidslist) = pidfrompanel(handledataset)
handle = pids[0]
handles.append(handle)
except:
handles.append(handledataset)
nopanel = 'yes'
if request.args.get('face'):
handle = request.args.get('face')
handles.append(handle)
if request.args.get('year'):
thisyear = request.args.get('year')
if request.args.get('action'):
action = request.args.get('action')
if request.args.get('ctrlist'):
datafilter['ctrlist'] = request.args.get('ctrlist')
if int(thisyear) > 0:
datafilter['startyear'] = int(thisyear)
datafilter['endyear'] = int(thisyear)
if request.args.get('historical'):
switch = 'historical'
# Geocoder
(classification, geodataset, title, units) = content2dataframe(config, config['geocoderhandle'])
#(modern, historical) = loadgeocoder(config, geodataset, 'geocoder')
(geocoder, geolist, oecd2webmapper, modern, historical) = request_geocoder(config, '')
if switch == 'modern':
activeindex = modern.index
coder = modern
class1 = switch
else:
activeindex = historical.index
coder = historical
class1 = switch
# Loading dataset in dataframe
try:
(class1, dataset, title, units) = content2dataframe(config, handle)
except:
return 'No dataset ' + handle
(cfilter, notint) = selectint(activeindex.values)
(origdata, maindata, metadata) = request_datasets(config, switch, modern, historical, handles, geolist)
(subsets, panel) = ({}, [])
# Show only available years
if action == 'showyears':
years = []
datafilter['startyear'] = yearmin
datafilter['endyear'] = lastyear
(datasubset, ctrlist) = datasetfilter(maindata[handles[0]], datafilter)
# Remove years without any values
if not datafilter['ctrlist']:
if np.nan in datasubset.index:
datasubset = datasubset.drop(np.nan, axis=0)
for colyear in datasubset.columns:
if datasubset[colyear].count() == 0:
datasubset = datasubset.drop(colyear, axis=1)
(years, notyears) = selectint(datasubset.columns)
# YEARS
return Response(json.dumps(years), mimetype='application/json')
# Process all indicators
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
if not datasubset.empty:
#datasubset = datasubset.dropna(how='all')
if not datafilter['ctrlist']:
if np.nan in datasubset.index:
datasubset = datasubset.drop(np.nan, axis=0)
panel.append(datasubset)
subsets[handle] = datasubset
maindata = subsets[handles[0]]
treemapdata = buildtreemap(config, maindata, switch, cfilter, coder)
return Response(treemapdata, mimetype='application/json')
# Panel data
@app.route('/panel')
def panel():
(thisyear, datafilter, handle, yearmin, yearmax, thisyear, ctrlist, lastyear, logscale) = (0, {}, '', '1500', '2020', 1950, '', 2010, '')
handles = []
config = configuration()
datafilter['startyear'] = yearmin
datafilter['endyear'] = lastyear
datafilter['ctrlist'] = config['ctrlist']
#modern = moderncodes(config['modernnames'], config['apiroot'])
if request.args.get('handle'):
handle = str(request.args.get('handle'))
handle = handle.replace(" ", "")
handle = handle.replace("'", "")
try:
(pids, pidslist) = pidfrompanel(handle)
handles = pids
except:
nopanel = 'yes'
handles.append(handle)
if request.args.get('face'):
facehandle = request.args.get('face')
if facehandle not in handles:
handles.append(facehandle)
if request.args.get('dataset'):
dataset = request.args.get('dataset')
if request.args.get('ctrlist'):
customcountrycodes = ''
ctrlist = request.args.get('ctrlist')
datafilter['ctrlist'] = ctrlist
if request.args.get('logscale'):
logscale = request.args.get('logscale')
if request.args.get('year'):
thisyear = request.args.get('year')
datafilter['startyear'] = int(thisyear)
datafilter['endyear'] = int(thisyear)
if request.args.get('yearmin'):
fromyear = request.args.get('yearmin')
datafilter['startyear'] = fromyear
if request.args.get('yearmax'):
toyear = request.args.get('yearmax')
datafilter['endyear'] = toyear
if request.args.get('hist'):
switch = 'historical'
if datafilter['ctrlist'] == '':
datafilter['ctrlist'] = config['histctrlist']
else:
switch = 'modern'
(geocoder, geolist, oecd2webmapper, modern, historical) = request_geocoder(config, '')
(origdata, maindata, metadata) = request_datasets(config, switch, modern, historical, handles, geolist)
(subsets, subsetyears, panel) = ({}, [], [])
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
datasubset['handle'] = handle
if not datasubset.empty:
datasubset = datasubset.dropna(how='all')
try:
if np.nan in datasubset.index:
datasubset = datasubset.drop(np.nan, axis=0)
except:
skip = 'yes'
for year in datasubset:
if datasubset[year].count() == 0:
datasubset = datasubset.drop(year, axis=1)
(datayears, notyears) = selectint(datasubset.columns)
panel.append(datasubset)
subsets[handle] = datasubset
subsetyears.append(datayears)
dataframe = subsets
ctrlimit = 10
# Trying to find the best year with most filled data values
try:
bestyearlist = subsetyears[0]
for i in range(1,len(subsetyears)):
bestyearlist = list(set(bestyearlist) & set(subsetyears[i]))
#bestyearlist = bestyearlist.sort()
thisyear = bestyearlist[0]
except:
bestyearlist = []
allcodes = {}
panel = []
names = {}
for handle in dataframe:
try:
names[handle] = metadata[handle]['title']
except:
names[handle] = 'title'
try:
#(dataset, codes) = paneldatafilter(dataframe[handle], int(yearmin), int(yearmax), ctrlist, handle)
dataset = dataframe[handle]
if not dataset.empty:
panel.append(dataset)
except:
nodata = 0
if panel:
totalpanel = pd.concat(panel)
cleanedpanel = totalpanel.dropna(axis=1, how='any')
cleanedpanel = totalpanel
#return str(cleanedpanel.to_html())
totalpanel = cleanedpanel
if int(thisyear) <= 0:
thisyear = totalpanel.columns[-2]
result = ''
original = {}
if thisyear:
if switch == 'historical':
geocoder = historical
if switch == 'hist':
geocoder = historical
else:
geocoder = modern
result = 'Country,'
for handle in handles:
result = result + str(metadata[handle]['title']) + ','
result = result[:-1]
known = {}
for code in totalpanel.index:
if str(code) not in known:
result = result + '\n' + str(geocoder.ix[int(code)][config['webmappercountry']])
for handle in handles:
tmpframe = totalpanel.loc[totalpanel['handle'] == handle]
try:
(thisval, original) = value2scale(tmpframe.ix[code][thisyear], logscale, original)
except:
thisval = 'NaN'
result = result + ',' + str(thisval)
known[str(code)] = code
return Response(result, mimetype='text/plain')
(allyears, notyears) = selectint(cleanedpanel.columns)
(codes, notcodes) = selectint(cleanedpanel.index)
cleanedpanel.index = codes
(header, data, countries, handles, vhandles) = panel2dict(config, cleanedpanel, names)
#return str(data)
#thisyear = 1882
#return str(countries)
#return str(countries)
years = []
for year in sorted(data):
try:
years.append(int(year))
lastyear = year
except:
skip = 1
# Return only years
if request.args.get('showyears'):
yearsdata = {}
yearsdata['years'] = years
yearsdata['latestyear'] = lastyear
#yearsdata['data'] = data
yearsjson = json.dumps(yearsdata, ensure_ascii=False, sort_keys=True, indent=4)
return Response(yearsjson, mimetype='application/json')
return Response(result, mimetype='text/plain')
# Collabs
@app.route('/collabs')
def collabs():
remove = ["date", "_id", "passwd"]
(project, jsondata) = ('', '')
data = {}
if request.args.get('project'):
project = request.args.get('project')
data = readdata('projects', 'uri', project)
for item in data:
for r in remove:
if item[r]:
del item[r]
jsondata = json.dumps(item, encoding="utf-8", sort_keys=True, indent=4)
return Response(jsondata, mimetype='application/json')
# Advanced statistiscs
@app.route('/advancedstats')
def advanced_statistics():
(yearmin, yearmax, ctrlist) = (1500, 2020, '')
config = configuration()
handles = []
if request.args.get('handle'):
handledataset = request.args.get('handle')
handledataset = handledataset.replace(" ", '')
if request.args.get('dataset'):
dataset = request.args.get('dataset')
handles.append(dataset)
if request.args.get('yearmin'):
yearmin = request.args.get('yearmin')
if request.args.get('yearmax'):
yearmax = request.args.get('yearmax')
if request.args.get('ctrlist'):
ctrlist = request.args.get('ctrlist')
modern = moderncodes(config['modernnames'], config['apiroot'])
jsonapi = config['apiroot'] + '/api/datasets?handle=' + str(handledataset)
(panel, cleanedpanel, names) = loadpanel(jsonapi, yearmin, yearmax, ctrlist)
(header, data, countries, handles, vhandles) = advpanel2dict(cleanedpanel)
ctrlimit = 200
#result = panel2csv(header, data, thisyear, countries, handles, vhandles, ctrlimit, modern)
#maindataframe = data2statistics(handles, cleanedpanel)
#showhtml = statistics_tojson(maindataframe, modern)
data = handle2statistics(handles, cleanedpanel)
showhtml = statistics2table(data)
return showhtml
# Dataverse API
@app.route('/download')
def download():
(classification, pid, root, switch, datafile) = ('modern', '', '', 'modern', '')
handle = ''
config = configuration()
cmd = "--insecure -u " + config['key'] + ": " + config['dataverseroot'] + "/dvn/api/data-deposit/v1.1/swordv2/statement/study/"
config['remote'] = ''
datafilter = {}
datafilter['startyear'] = '1500'
datafilter['endyear'] = '2010'
datafilter['ctrlist'] = ''
tmpdir = config['tmpdir']
filerandom = randomword(10)
#filerandom = '12345'
arc = "data" + filerandom + ".zip"
filename = filerandom
finaldir = config['path'] + '/static/tmp'
# ToDO
if filename:
finaldir = str(finaldir) + '/' + str(filename)
tmpdir = str(tmpdir) + '/' + str(filename)
try:
os.mkdir(tmpdir)
os.mkdir(finaldir)
except:
donothing = 'ok'
if request.args.get('handle'):
handle = request.args.get('handle')
if request.args.get('type[0]') == 'historical':
classification = request.args.get('type[0]')
switch = classification
if request.args.get('y[min]'):
datafilter['startyear'] = request.args.get('y[min]')
if request.args.get('y[max]'):
datafilter['endyear'] = request.args.get('y[max]')
# Select countries
customcountrycodes = ''
f = request.args
for key in f.keys():
if is_location(key):
for value in sorted(f.getlist(key)):
customcountrycodes = str(customcountrycodes) + str(value) + ','
if customcountrycodes:
customcountrycodes = customcountrycodes[:-1]
datafilter['ctrlist'] = customcountrycodes
if request.args.get('ctrlist'):
datafilter['ctrlist'] = request.args.get('ctrlist')
if request.args.get('pid'):
pid = request.args.get('pid')
ispanel = ''
try:
(pids, pidslist) = pidfrompanel(pid)
handles = pids
handle = pids[0]
match = re.match(r'Panel\[(.+)\]', pid)
if match:
ispanel = 'yes'
except:
handles = pid
handle = pids[0]
if ispanel:
dirforzip = ''
for handle in handles:
dirforzip = get_papers(config['dataverseroot'], config['key'], cmd, handle, tmpdir, arc, finaldir)
(header, panelcells, metadata, totalpanel) = build_panel(config, switch, handles, datafilter)
filename = "paneldata.xlsx"
metadata = []
datadir = config['webtest']
localoutfile = panel2excel(dirforzip, filename, header, panelcells, metadata)
arc = 'dataarchive.zip'
compile2zip(dirforzip, arc)
root = config['apiroot'] + "/collabs/static/tmp/" + str(arc)
return redirect(root, code=301)
if classification:
outfile = "clioinfra.xlsx"
dirforzip = get_papers(config['dataverseroot'], config['key'], cmd, handle, tmpdir, arc, finaldir)
#fullpath = config['webtest'] + "/" + str(outfile)
fullpath = dirforzip
# Check selection
isselection = 'yes'
if datafilter['startyear'] == '1500':
if datafilter['ctrlist'] == '':
isselection = 'yes'
if isselection:
(datafile, outfilefinal, finalsubset) = dataframe_compiler(config, fullpath, handle, classification, datafilter)
#return datafile.to_html()
else:
# Copy original dataset
source = os.listdir(tmpdir)
for excelfile in source:
shutil.copy(tmpdir + '/' + excelfile, dirforzip)
#return outfilefinal
arc = 'dataarchive.zip'
if datafile:
arc = "%s_%s.zip" % (datafile, switch)
compile2zip(dirforzip, arc)
root = config['apiroot'] + "/collabs/static/tmp/" + str(arc)
#root = config['apiroot'] + "/collabs/static/tmp/" + str(outfile)
return redirect(root, code=301)
else:
zipfile = downloadzip(pid)
# CHANGE
#return zipfile
# DEBUG1
root = config['apiroot'] + "/collabs/static/tmp/" + zipfile
# HTML
#resp = make_response(render_template('progress.html', download=root))
#return "<a href=\"" + str(root) + "\">Download dataset(s) with all papers (zip archive)</a>"
#return resp
return redirect(root, code=301)
@app.route('/webmappercodes')
def webmapper():
config = configuration()
api = config['apiroot'] + "/collabs/static/data/historical.json"
(regions, countries, ctr2reg, webmapper, geocoder) = histo(api)
data = json.dumps(webmapper, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
@app.route('/geofilter')
def geofilter():
pids = []
ctrlist = {}
ctrfilter = []
settings = Configuration()
clioinfra = Dataset()
clioindex = clioinfra.clioindex()
columns = ['1', 'Webmapper code', 'Webmapper numeric code', 'ccode', 'country name', 'start year', 'end year']
(classification, geodataset, title, units) = content2dataframe(settings.config, settings.config['geocoderhandle'])
settings = DataFilter(request.args)
if settings.selected():
pids = clioinfra.findhandles(settings.selected())
datasets = clioinfra.retrievedatasets(pids)
selection = []
for item in datasets:
dataset = datasets[item]
dataset.columns = dataset.ix[1]
dataset = dataset.convert_objects(convert_numeric=True)
dataset.index = dataset['Webmapper numeric code']
if (settings.minyear()):
dataset = dataset.loc[dataset['start year'] >= settings.minyear()]
dataset = dataset.loc[dataset['start year'] <= settings.maxyear()]
for col in columns:
dataset = dataset.drop(col, axis=1)
dataset['total'] = dataset.sum(axis=1)
dataset = dataset.ix[dataset['total'] > 0]
selection.append(dataset.index)
for row in selection:
for countryID in row:
if countryID not in ctrlist:
ctrlist[countryID] = countryID
ctrfilter.append(countryID)
geodataset = geodataset.convert_objects(convert_numeric=True)
geodataset = geodataset.loc[geodataset['start year'] >= settings.minyear()]
geodataset = geodataset.loc[geodataset['start year'] <= settings.maxyear()]
if settings.showframe():
geodataset.index = geodataset['Webmapper numeric code']
if ctrfilter:
geodataset = geodataset.ix[ctrfilter]
(geocoder, geolist, oecd) = buildgeocoder(geodataset, settings.config, settings.countryfilter())
data = json.dumps(geocoder, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
@app.route('/geocoder')
def geocoder():
config = configuration()
config['remote'] = ''
remote = 'on'
# Geocoder
handle = config['geocoderhandle']
(classification, geodataset, title, units) = content2dataframe(config, config['geocoderhandle'])
fromyear = 1500
toyear = 2016
cfilter = ''
if request.args.get('name'):
cfilter = request.args.get('name')
if request.args.get('name'):
cfilter = request.args.get('name')
if fromyear:
historical = ''
if historical == 'old':
api = config['apiroot'] + "/collabs/static/data/historical.json"
(regions, countries, ctr2reg, webmapper, geocoder) = histo(api, cfilter)
else:
(geocoder, geolist, oecd) = buildgeocoder(geodataset, config, cfilter)
data = json.dumps(geocoder, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
@app.route('/datasets')
def datasets():
config = configuration()
(jsondata, pid) = ('', '')
handles = []
combineddataset = []
resultdataset = ''
datainfo = []
outformat = 'json'
if request.args.get('format'):
outformat = request.args.get('format')
if request.args.get('handle'):
pid = request.args.get('handle')
if request.args.get('latest'):
dataset = config['defaulthandle']
return dataset
if pid:
(handles, pidslist) = pidfrompanel(pid)
hquery = formdatasetquery(handles,'')
datainfo = readdatasets('datasets', json.loads(hquery))
#if not datainfo:
#datainfo.append(pid)
for dataset in datainfo:
data = {}
handle = dataset['handle']
if outformat == 'json':
jsondata = str(dataset['data'])
jsondata = jsondata.replace(".0,", ",")
json_dict = ast.literal_eval(jsondata.strip())
data['handle'] = handle
try:
data['title'] = dataset['title']
data['units'] = dataset['units']
data['datasetID'] = dataset['datasetID']
except:
data['title'] = 'Title'
data['units'] = 'Units'
data['datasetID'] = 228
data['data'] = json_dict
combineddataset.append(data)
elif outformat == 'csv':
data['data'] = dataset['csvframe']
resultdataset = data['data']
if outformat == 'json':
if combineddataset:
finaldata = json.dumps(combineddataset, encoding="utf-8", sort_keys=True, indent=4)
return Response(finaldata, mimetype='application/json')
elif outformat == 'csv':
return Response(resultdataset, mimetype='text/plain')
@app.route('/dialog')
def dialog():
pid = ''
root = ''
config = configuration()
if request.args.get('pid'):
pid = request.args.get('pid')
zipfile = downloadzip(pid)
root = config['clearance'] + "/collabs/static/tmp/" + zipfile
resp = make_response(render_template('dialog.html', download=root))
return resp
@app.route('/dataverse')
def dataverse():
config = configuration()
root = config['dataverseroot']
query = ''
if request.args.get('q'):
query = request.args.get('q')
apiurl = root + "/api/search?q=" + str(query) + "&key=" + config['key'] + "&type=dataset"
url = request.url
data = ''
if query:
rawdata = load_dataverse(apiurl)
else:
rawdata = simplesearch(root, url, config['apiroot'])
#return rawdata
try:
data = json.dumps(rawdata, encoding="utf-8", sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
except:
data = 'no data'
return 'No data'
@app.route('/indicators')
def indicators():
#data = load_indicators("indicators.csv")
config = configuration()
pid = config['topicindex']
if pid:
(handles, pidslist) = pidfrompanel(pid)
hquery = formdatasetquery(handles,'')
datainfo = readdatasets('datasets', json.loads(hquery))
csvio = StringIO(str(datainfo[0]['csvframe']))
data = pd.read_csv(csvio, sep='\t', dtype='unicode',quoting=csv.QUOTE_NONE)
columns = []
for item in data.columns:
col = re.sub(r"\"", "", item)
columns.append(col)
data.columns = columns
storeddata = readdatasets('datasets', '')
linking = {}
for item in storeddata:
try:
linking[item['title']] = item['handle']
except:
skip = 'yes'
data['handle'] = ''
data = data.drop('ID', axis=1)
for row in data.index:
title = data.ix[row]['Name']
try:
data.ix[row]['handle'] = linking[title]
except:
data.ix[row]['handle'] = ''
return Response(data.to_csv(orient='records'), mimetype='application/json')
else:
return 'No data'
@app.route('/search')
def search():
q = request.args.get('q')
data = searchdata(q)
return Response(data, mimetype='application/json')
def load_province_data(apiurl, province):
jsondataurl = apiurl + province
req = urllib2.Request(jsondataurl)
opener = urllib2.build_opener()
f = opener.open(req)
dataframe = simplejson.load(f)
return dataframe
def loadjson(url):
req = urllib2.Request(url)
opener = urllib2.build_opener()
f = opener.open(req)
dataframe = simplejson.load(f, "utf-8")
return dataframe
def get_iishvisitors_frame(thisyear):
if thisyear:
years = [thisyear]
else:
years = [2015, 2016]
finaldata = pd.DataFrame()
for year in years:
url = "http://visitors.collections.iisg.org/api/statistics/maps.php?year=" + str(year)
data = loadjson(url)
clioframe = pd.DataFrame(data['data'])
clioframe = clioframe.convert_objects(convert_numeric=True)
clioframe.columns = [u'coordinates', u'country', u'Webmapper numeric code', u'iso_code', u'total']
clioframe.index = clioframe['Webmapper numeric code']
if 'coordinates' in clioframe.columns:
clioframe = clioframe.drop('coordinates', axis=1)
xdata = pd.DataFrame(clioframe['total'])
xdata.columns = [year]
finaldata = pd.concat([finaldata, xdata], axis=1)
return finaldata
@app.route('/dataapi')
def dataapi():
(datafilter, handles) = ({}, [])
datafilter['ctrlist'] = ''
logscale = ''
config = configuration()
customyear = ''
fromyear = '1500'
toyear = '2012'
categoriesMax = 6
countriesNum = 200
geocoder = ''
(special, getrange, colormap, pallette, customcountrycodes, switch) = ('', '', '', '', '', 'modern')
if request.args.get('special'):
special = request.args.get('special')
if request.args.get('logscale'):
logscale = request.args.get('logscale')
if request.args.get('year'):
customyear = request.args.get('year')
datafilter['startyear'] = customyear
datafilter['endyear'] = customyear
if request.args.get('catmax'):
categoriesMax = int(request.args.get('catmax'))
if request.args.get('getrange'):
getrange = request.args.get('getrange')
if request.args.get('colors'):
pallette = request.args.get('colors')
if request.args.get('colormap'):
colormap = request.args.get('colormap')
if request.args.get('geocoder'):
switch = request.args.get('geocoder')
if switch == 'on':
switch = 'modern'
if request.args.get('handle'):
handlestring = request.args.get('handle')
ishandle = re.search(r'(hdl:\d+\/\w+)', handlestring)
if ishandle:
handle = ishandle.group(1)
handle = handle.replace("'", "")
else:
handle = handlestring
handles.append(handle)
if request.args.get('ctrlist'):
customcountrycodes = ''
tmpcustomcountrycodes = request.args.get('ctrlist')
c = tmpcustomcountrycodes.split(',')
for ids in sorted(c):
if ids:
customcountrycodes = str(customcountrycodes) + str(ids) + ','
customcountrycodes = customcountrycodes[:-1]
datafilter['ctrlist'] = tmpcustomcountrycodes
hist = {}
config = configuration()
try:
if len(customcountrycodes):
countriesNum = len(customcountrycodes.split(','))
if countriesNum < categoriesMax:
if countriesNum >= 1:
categoriesMax = countriesNum
except:
nothing = 1
# Old version of panel data
#(header, panelcells, codes, x1, x2, x3, x4, originalvalues) = data2panel(handles, customcountrycodes, fromyear, toyear, customyear, hist, logscale)
panelcells = []
# New version is fast
if config:
(geocoder, geolist, oecd2webmapper, modern, historical) = request_geocoder(config, '')
(subsets, panel) = ({}, [])
try:
(origdata, maindata, metadata) = request_datasets(config, switch, modern, historical, handles, geolist)
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
if not datasubset.empty:
datasubset = datasubset.dropna(how='all')
panel.append(datasubset)
subsets[handle] = datasubset
except:
subsets[handles[0]] = get_iishvisitors_frame(int(customyear))
(panelcells, originalvalues) = dataset2panel(config, subsets[handles[0]], modern, logscale)
#(header, panelcells, codes, x1, x2, x3, x4, originalvalues) = data2panel(handles, customcountrycodes, fromyear, toyear, customyear, hist, logscale)
#modern = moderncodes(config['modernnames'], config['apiroot'])
#jsondata = data2json(modern, codes, panelcells)
#data = json.dumps(jsondata, ensure_ascii=False, sort_keys=True, indent=4)
# SCALES
if switch:
if switch == 'historical':
geocoder = historical
else:
geocoder = modern
#geocoder = ''
(defaultcolor, colors) = getcolors(categoriesMax, pallette, colormap)
(catlimit, ranges, dataset) = getscales(config, panelcells, colors, categoriesMax, geocoder, originalvalues, switch, logscale)
if getrange:
(showrange, tmprange) = combinerange(ranges)
webscale = webscales(showrange, colors, defaultcolor)
data = json.dumps(webscale, ensure_ascii=False, sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
else:
data = json.dumps(dataset, ensure_ascii=False, sort_keys=True, indent=4)
return Response(data, mimetype='application/json')
@app.route('/tabledata')
def tabledata():
(data, aggrdata) = tableapi()
return Response(data, mimetype='text/plain')
if __name__ == '__main__':
app.run()
| [
"[email protected]"
]
| |
7a3fcd2835b9f9190930f94600a4aafaaaa3423b | 128e2652e2f0a4b4be57894bffab461c90170657 | /tej_python/basics/files/seek.py | 656f78a1ef2076688bbeb29b34170fdcee8bf41b | []
| no_license | tejadeep/Python_files | ec2695ec844e723d0784a67bd13c9a178c0aa601 | 43fde84dd62543e5ed9896177949cca877fdb858 | refs/heads/master | 2020-06-11T04:35:55.850108 | 2019-08-08T07:23:23 | 2019-08-08T07:23:23 | 193,851,082 | 0 | 0 | null | 2019-06-26T07:19:34 | 2019-06-26T07:19:34 | null | UTF-8 | Python | false | false | 52 | py | f=open("text","r")
f.seek(5,1)
a=f.read()
print (a)
| [
"[email protected]"
]
| |
7ea31f1d5cee13bb05992a54895bdc6027e86ed4 | 5deca81ecb729fdb1e14511b7fdb65e5f3b277de | /2_sentiment/submission_v3.py | 867249d65f4d33c72710ac1ca021d7e5f65d622c | []
| no_license | anatu/CS221-Fall2018 | 6a0e170ada7ba8794d9e93dee875fc1a072e4692 | 03dbcf7cb7da953877171b311be9d0e2aacec30c | refs/heads/master | 2021-03-20T06:01:52.122056 | 2020-03-14T00:22:10 | 2020-03-14T00:22:10 | 247,183,322 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,968 | py | #!/usr/bin/python
import random
import collections
import math
import sys
from util import *
############################################################
# Problem 3: binary classification
############################################################
############################################################
# Problem 3a: feature extraction
def extractWordFeatures(x):
"""
Extract word features for a string x. Words are delimited by
whitespace characters only.
@param string x:
@return dict: feature vector representation of x.
Example: "I am what I am" --> {'I': 2, 'am': 2, 'what': 1}
"""
# BEGIN_YOUR_CODE (our solution is 4 lines of code, but don't worry if you deviate from this)
features = dict()
for word in set(x.split(" ")):
features[word] = x.split(" ").count(word)
return features
# END_YOUR_CODE
############################################################
# Problem 3b: stochastic gradient descent
def learnPredictor(trainExamples, testExamples, featureExtractor, numIters, eta):
'''
Given |trainExamples| and |testExamples| (each one is a list of (x,y)
pairs), a |featureExtractor| to apply to x, and the number of iterations to
train |numIters|, the step size |eta|, return the weight vector (sparse
feature vector) learned.
You should implement stochastic gradient descent.
Note: only use the trainExamples for training!
You should call evaluatePredictor() on both trainExamples and testExamples
to see how you're doing as you learn after each iteration.
'''
weights = {} # feature => weight
# BEGIN_YOUR_CODE (our solution is 12 lines of code, but don't worry if you deviate from this)
for iteration in range(numIters):
# print("BEGINNING RUN NUMBER %i" % (iteration))
for example in trainExamples:
# Extract the features from the input
x = example[0]
y = example[1]
features = featureExtractor(x)
# Calculate the hinge loss
score_product = (sum(weights[key]*features.get(key, 0) for key in weights))*y
hingeLoss = max(0,1-score_product)
# print("Example: %s , Error: %i " % (x, hingeLoss))
# Compute gradient vector based on value of the hinge loss
if score_product < 1: # Equals phi*y if less than 1
hingeGrad = features
hingeGrad.update((a, b*-1*y) for a, b in features.items())
else: # Zero otherwise
hingeGrad = 0
# Update only if the gradient is nonzero, otherwise
# gradient descent cannot proceed
if hingeGrad != 0:
for feature in hingeGrad.keys():
weights[feature] = weights.get(feature,0) - eta*hingeGrad.get(feature, 0)
# END_YOUR_CODE
return weights
############################################################
# Problem 3c: generate test case
def generateDataset(numExamples, weights):
'''
Return a set of examples (phi(x), y) randomly which are classified correctly by
|weights|.
'''
random.seed(42)
# Return a single example (phi(x), y).
# phi(x) should be a dict whose keys are a subset of the keys in weights
# and values can be anything (randomize!) with a nonzero score under the given weight vector.
# y should be 1 or -1 as classified by the weight vector.
def generateExample():
# BEGIN_YOUR_CODE (our solution is 2 lines of code, but don't worry if you deviate from this)
phi = {}
# END_YOUR_CODE
return (phi, y)
return [generateExample() for _ in range(numExamples)]
############################################################
# Problem 3e: character features
def extractCharacterFeatures(n):
'''
Return a function that takes a string |x| and returns a sparse feature
vector consisting of all n-grams of |x| without spaces.
EXAMPLE: (n = 3) "I like tacos" --> {'Ili': 1, 'lik': 1, 'ike': 1, ...
You may assume that n >= 1.
'''
def extract(x):
# BEGIN_YOUR_CODE (our solution is 6 lines of code, but don't worry if you deviate from this)
# Preprocessing - ignore whitespace
x = x.replace(" ","")
# Pull all ngrams in a zipped form and turn into a list of string grams
ngram_tuple = zip(*[x[i:] for i in range(n)])
ngram_list = ["".join(elem) for elem in ngram_tuple]
features = dict()
# Develop feature vector from grams
for gram in ngram_list:
features[gram] = x.count(gram)
return features
# END_YOUR_CODE
return extract
############################################################
# Problem 4: k-means
############################################################
def kmeans(examples, K, maxIters):
'''
examples: list of examples, each example is a string-to-double dict representing a sparse vector.
K: number of desired clusters. Assume that 0 < K <= |examples|.
maxIters: maximum number of iterations to run (you should terminate early if the algorithm converges).
Return: (length K list of cluster centroids,
list of assignments (i.e. if examples[i] belongs to centers[j], then assignments[i] = j)
final reconstruction loss)
'''
# BEGIN_YOUR_CODE (our solution is 32 lines of code, but don't worry if you deviate from this)
# Initialize the centroids, each one being a random selection
# from the input list examples
random.seed(42)
centroids = []
for k in range(K):
centroids.append(random.choice(examples))
# LOSS - Precalculate the L2-norm squared of featureset
loss_example_norm = 0
for example in examples:
loss_example_norm += sum((example.get(d))**2 for d in example)
# Initialize assignments list and loss storage
loss_centroid_norm = 0
loss_cross_term = 0
assignments = [0 for elem in examples]
assmts_lookup = {k: [] for k in range(len(centroids))}
losses = dict()
num_iters = 0
while num_iters < maxIters:
# Step 1 - Perform the initial assignment of examples to centroids
for i in range(len(examples)):
distances = dict()
for j in range(len(centroids)):
# LOSS - Calculate cross term
loss_cross_term += 2*sum((examples[i].get(d) + centroids[j].get(d)) for d in set(examples[i]) | set(centroids[j]))
distances[j] = sum((examples[i].get(d,0) - centroids[j].get(d,0))**2 for d in set(examples[i]) | set(centroids[j]))
min_centroid = min(distances, key=distances.get)
assignments[i] = min_centroid
# Add the example into the lookup table to speed up the update step
assmts_lookup[min_centroid].append(example)
# Step 2 - Update the centroids using the mean of assigned points
centroids = [dict() for k in range(K)]
for j in range(len(centroids)):
assigned_examples = assmts_lookup[centroids[j]]
# Add up all the dimensions of all the assigned points into the centroid
for assignee in assigned_examples:
for key in assignee.keys():
centroids[j][key] = centroids[j].get(key,0) + assignee[key]
# Make the cluster the centroid of the points by dividing by the number of points
centroids[j].update((a, b/len(assigned_examples)) for a, b in centroids[j].items())
# LOSS - Precalculate L2-norm squared of the centroids squared
loss_centroid_norm += sum((example.get(d))**2 for d in centroids[j])
# LOSS - Combine to form total reconstruction loss for the run
num_iters +=1
losses[num_iters] = loss_example_norm + loss_centroid_norm + loss_cross_term
return centroids, assignments, losses[max(losses)]
# END_YOUR_CODE
| [
"[email protected]"
]
| |
ee3997b39a5d30d9f9dd95a3f9021ff2a495f82f | 19919c7c7f4ccfc4842e016c8ece818cd144de14 | /Yaml/Read_Yaml.py | c8430249f60c60a6bf80499260dc9591569fc42c | []
| no_license | Cz1660/GitTestSetting_0225 | b9e08e74dc0eb27aa39f204763140f0d772e5796 | ba59ca5b16d1e9784a19b2c70d7ca27e923289f4 | refs/heads/master | 2020-04-25T02:52:49.869443 | 2019-02-25T08:08:21 | 2019-02-25T08:08:21 | 172,456,529 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | import os,yaml
class Read_Yaml:
def __init__(self,file_name):
self.path = os.getcwd() + os.sep + 'Yaml' + os.sep + file_name
def read_yaml(self):
with open(self.path,'r',encoding='utf-8') as f:
self.yaml_data = yaml.load(f)
return self.yaml_data | [
"[email protected]"
]
| |
34e92db0841af367e4b0346a4077887143c981bd | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p00002/s447243661.py | ec5ea4eb25e8b12e086a6e676b80ee789fd3efbc | []
| no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 84 | py | import sys
[print(len(str(sum([int(y) for y in x.split(" ")])))) for x in sys.stdin] | [
"[email protected]"
]
| |
29508b8c62c4dfc7ece26c6ae621b64c84e7d5da | 1368e2beda67052140a51fd53eb7a12941124320 | /Python 3/1541.py | 72fe04dada81de5994973cd36cbc76aecd070127 | []
| no_license | matheuskolln/URI | ac540fd4ea18c9b3ba853492dc60157c165145cf | b9091ed1c5b75af79cb25827aff8aab99d2e4b65 | refs/heads/master | 2023-03-09T23:17:17.865447 | 2021-02-25T16:47:24 | 2021-02-25T16:47:24 | 272,043,082 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 194 | py | while True:
n = [int(x) for x in input().split(' ')]
if n[0] == 0:
break
a = n[0] * n[1]
i = 0
while i * i * n[2] / 100 <= a:
i += 1
print(i - 1) | [
"[email protected]"
]
| |
de86bd936a9bc7afa59da85369c6a2c0b220a168 | f8ffa8ff257266df3de9d20d95b291e393f88434 | /Python from scratch/Zadania/zadania podczas zajęć/zajęcia11/zadanie01/zadanie01+a.py | ac892bb38f756545548af1328c3d3f7cef2f15c5 | []
| no_license | janiszewskibartlomiej/Python_Code_Me_Gda | c0583c068ef08b6130398ddf93c3a3d1a843b487 | 7568de2a9acf80bab1429bb55bafd89daad9b729 | refs/heads/master | 2020-03-30T05:06:26.757033 | 2020-03-02T08:53:28 | 2020-03-02T08:53:28 | 150,781,356 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 393 | py | from datetime import datetime
data_urodzenia = input('Wprowadź datę urodzin celebryty w formacie [RRRR-MM-DD]:')
try:
konwertowanie_daty = datetime.strptime(data_urodzenia, '%Y-%m-%d')
except ValueError:
print('Wprowadzono nie prawiłowe dane!')
exit()
teraz = datetime.now()
wiek_celebryty = teraz - konwertowanie_daty
print('Wiek celebryty to:', wiek_celebryty.days // 365)
| [
"[email protected]"
]
| |
288832b4e21767a5fe146fc0d0ad0218ce3730fc | be55991401aef504c42625c5201c8a9f14ca7c3b | /python全栈3期/面向对象/继承顺序.py | dcb0234f6de6831c86a781efdb3753c1b0f99ed8 | [
"Apache-2.0"
]
| permissive | BillionsRichard/pycharmWorkspace | adc1f8bb15b58ded489fc8dec0df397601823d2c | 709e2681fc6d85ff52fb25717215a365f51073aa | refs/heads/master | 2021-09-14T21:12:59.839963 | 2021-08-08T09:05:37 | 2021-08-08T09:05:37 | 143,610,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 619 | py | """
广度优先: 新式类(Python3) F->D->B->E->C->A
深度优先: 经典类(python2,不继承自object类)F->D->B->A->E->C
A
| \
B C
| \
D E
\ /
\/
F
"""
from pprint import pprint as pp
class A:
def test(self):
print('A')
class B(A):
def test(self):
print('B')
pass
class C(A):
def test(self):
print('C')
class D(B):
pass
# def test(self):
# print('D')
class E(C):
def test(self):
print('E')
pass
class F(D, E):
pass
# def test(self):
# print('F')
f1 = F()
f1.test()
pp(F.__mro__)
| [
"[email protected]"
]
| |
f297dde3e24a29cede6a18efcb18439969ce8aba | 7e0e22e31aafc7eecda9d62ae4329f8697e23d40 | /scripts/average | 90f6be281641d653f9fe748d36aef7067a7f810b | [
"MIT"
]
| permissive | Sandy4321/cli_stats | feec6e6b234e40062f0fe5b6519fdca0fc93f31b | d8a75cf81904a0565c9de6839ee4711355e26b70 | refs/heads/master | 2023-02-10T11:06:46.602325 | 2021-01-01T22:50:31 | 2021-01-01T22:50:31 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 476 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Compute the average of a number stream on stdin
Author: Gertjan van den Burg
License: See LICENSE file
Copyright (c) 2020, G.J.J. van den Burg
"""
import sys
def main():
total = 0.0
count = 0
for line in sys.stdin:
if not line.strip():
continue
total += float(line.strip())
count += 1
average = total / count
print(average)
if __name__ == "__main__":
main()
| [
"[email protected]"
]
| ||
228838743a4a17ff71de267f94269836b84c585b | acb8e84e3b9c987fcab341f799f41d5a5ec4d587 | /langs/0/bak.py | 12452944e2d8adaa5868f756dd6e5ad813124986 | []
| no_license | G4te-Keep3r/HowdyHackers | 46bfad63eafe5ac515da363e1c75fa6f4b9bca32 | fb6d391aaecb60ab5c4650d4ae2ddd599fd85db2 | refs/heads/master | 2020-08-01T12:08:10.782018 | 2016-11-13T20:45:50 | 2016-11-13T20:45:50 | 73,624,224 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 486 | py | import sys
def printFunction(lineRemaining):
if lineRemaining[0] == '"' and lineRemaining[-1] == '"':
if len(lineRemaining) > 2:
#data to print
lineRemaining = lineRemaining[1:-1]
print ' '.join(lineRemaining)
else:
print
def main(fileName):
with open(fileName) as f:
for line in f:
data = line.split()
if data[0] == 'bAK':
printFunction(data[1:])
else:
print 'ERROR'
return
if __name__ == '__main__':
main(sys.argv[1]) | [
"[email protected]"
]
| |
942a6a475150a440d2d71c36555b3b9649d6eb26 | ad0857eaba945c75e705594a53c40dbdd40467fe | /baekjoon/python/dial_5622.py | 2f52057085043af2b8abff6075f383071902aa85 | [
"MIT"
]
| permissive | yskang/AlgorithmPractice | c9964d463fbd0d61edce5ba8b45767785b0b5e17 | 3efa96710e97c8740d6fef69e4afe7a23bfca05f | refs/heads/master | 2023-05-25T13:51:11.165687 | 2023-05-19T07:42:56 | 2023-05-19T07:42:56 | 67,045,852 | 0 | 0 | null | 2021-06-20T02:42:27 | 2016-08-31T14:40:10 | Python | UTF-8 | Python | false | false | 494 | py | # https://www.acmicpc.net/problem/5622
def dial_time(digit_string):
digit_dict = {"A": 2, "B": 2, "C": 2, "D": 3, "E": 3, "F": 3, "G": 4, "H": 4, "I": 4, "J": 5, "K": 5, "L": 5,
"M": 6, "N": 6, "O": 6, "P": 7, "Q": 7, "R": 7, "S": 7, "T": 8, "U": 8, "V": 8, "W": 9, "X": 9,
"Y": 9, "Z": 9}
time = 0
for d in digit_string:
time += (digit_dict[d] + 1)
return time
if __name__ == "__main__":
print(dial_time(input()))
| [
"[email protected]"
]
| |
7519b3756f10f14a5efbed78d21cd03b01e3570b | 0a85e9ecb51c89110794aeb399fc3ccc0bff8c43 | /Udacity/1. Data Structures/2. Linked List/detecting_loops.py | 7dde5625ea99184e444c23e219dd8ab70ca841bc | []
| no_license | jordan-carson/Data_Structures_Algos | 6d246cd187e3c3e36763f1eedc535ae1b95c0b18 | 452bb766607963e5ab9e39a354a24ebb26ebaaf5 | refs/heads/master | 2020-12-02T23:19:11.315890 | 2020-09-15T01:23:29 | 2020-09-15T01:23:29 | 231,147,094 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,569 | py | class Node:
def __init__(self, value):
self.value = value
self.next = None
class LinkedList:
def __init__(self, init_list=None):
self.head = None
if init_list:
for value in init_list:
self.append(value)
def append(self, value):
if self.head is None:
self.head = Node(value)
return
# Move to the tail (the last node)
node = self.head
while node.next:
node = node.next
node.next = Node(value)
return
def iscircular(linked_list):
if linked_list.head is None:
return False
slow = linked_list.head
fast = linked_list.head
while slow and fast and fast.next:
fast = fast.next.next
slow = slow.next
if fast == slow:
return True
return False
if __name__ == '__main__':
list_with_loop = LinkedList([2, -1, 3, 0, 5])
# Creating a loop where the last node points back to the second node
loop_start = list_with_loop.head.next
node = list_with_loop.head
while node.next:
node = node.next
node.next = loop_start
small_loop = LinkedList([0])
small_loop.head.next = small_loop.head
print ("Pass" if iscircular(list_with_loop) else "Fail")
print ("Pass" if not iscircular(LinkedList([-4, 7, 2, 5, -1])) else "Fail")
print ("Pass" if not iscircular(LinkedList([1])) else "Fail")
print ("Pass" if iscircular(small_loop) else "Fail")
print ("Pass" if not iscircular(LinkedList([])) else "Fail")
| [
"[email protected]"
]
| |
35af21c694adef7b09cbc80926fda010c74caf6e | 7a6aca7d300c0752f2a73730b743a1a7361e941b | /tensorflow_graphics/nn/metric/fscore.py | 8bb696c3919b2925c77ede8d7b9ae9e1851fd458 | [
"Apache-2.0"
]
| permissive | tensorflow/graphics | ef0abe102398a58eb7c41b709393df3d0b0a2811 | 1b0203eb538f2b6a1013ec7736d0d548416f059a | refs/heads/master | 2023-09-03T20:41:25.992578 | 2023-08-08T21:16:36 | 2023-08-08T21:17:31 | 164,626,274 | 2,920 | 413 | Apache-2.0 | 2023-08-27T14:26:47 | 2019-01-08T10:39:44 | Python | UTF-8 | Python | false | false | 3,437 | py | # Copyright 2020 The TensorFlow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# 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.
"""This module implements the fscore metric."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from typing import Any, Callable
import tensorflow as tf
from tensorflow_graphics.nn.metric import precision as precision_module
from tensorflow_graphics.nn.metric import recall as recall_module
from tensorflow_graphics.util import export_api
from tensorflow_graphics.util import safe_ops
from tensorflow_graphics.util import shape
from tensorflow_graphics.util import type_alias
def evaluate(ground_truth: type_alias.TensorLike,
prediction: type_alias.TensorLike,
precision_function: Callable[..., Any] = precision_module.evaluate,
recall_function: Callable[..., Any] = recall_module.evaluate,
name: str = "fscore_evaluate") -> tf.Tensor:
"""Computes the fscore metric for the given ground truth and predicted labels.
The fscore is calculated as 2 * (precision * recall) / (precision + recall)
where the precision and recall are evaluated by the given function parameters.
The precision and recall functions default to their definition for boolean
labels (see https://en.wikipedia.org/wiki/Precision_and_recall for more
details).
Note:
In the following, A1 to An are optional batch dimensions, which must be
broadcast compatible.
Args:
ground_truth: A tensor of shape `[A1, ..., An, N]`, where the last axis
represents the ground truth values.
prediction: A tensor of shape `[A1, ..., An, N]`, where the last axis
represents the predicted values.
precision_function: The function to use for evaluating the precision.
Defaults to the precision evaluation for binary ground-truth and
predictions.
recall_function: The function to use for evaluating the recall. Defaults to
the recall evaluation for binary ground-truth and prediction.
name: A name for this op. Defaults to "fscore_evaluate".
Returns:
A tensor of shape `[A1, ..., An]` that stores the fscore metric for the
given ground truth labels and predictions.
Raises:
ValueError: if the shape of `ground_truth`, `prediction` is
not supported.
"""
with tf.name_scope(name):
ground_truth = tf.convert_to_tensor(value=ground_truth)
prediction = tf.convert_to_tensor(value=prediction)
shape.compare_batch_dimensions(
tensors=(ground_truth, prediction),
tensor_names=("ground_truth", "prediction"),
last_axes=-1,
broadcast_compatible=True)
recall = recall_function(ground_truth, prediction)
precision = precision_function(ground_truth, prediction)
return safe_ops.safe_signed_div(2 * precision * recall, precision + recall)
# API contains all public functions and classes.
__all__ = export_api.get_functions_and_classes()
| [
"[email protected]"
]
| |
b513f222fdaffe800eb13434b6c68a58cf123706 | 94becda0e99eb1bf23f2649d63a6a2af0f631e33 | /brats/bak/loop_finetune_v100_bak.py | fc472ca5384a7149a43deaf323fcf73f85ea7cfd | [
"MIT"
]
| permissive | guusgrimbergen/3DUnetCNN_BRATS | d560a878dfbe7dfe95ca5a37c8b066199300d276 | 1c4ad386b66c550770adc8c9e7371c1ce476db94 | refs/heads/master | 2022-01-08T13:37:05.253386 | 2019-06-17T13:10:59 | 2019-06-17T13:10:59 | 185,376,310 | 0 | 0 | null | 2019-05-07T10:07:33 | 2019-05-07T10:07:32 | null | UTF-8 | Python | false | false | 3,151 | py | from brats.config import config, config_unet, config_dict
import datetime
import logging
import threading
import subprocess
import os
import sys
from subprocess import Popen, PIPE, STDOUT
from unet3d.utils.path_utils import make_dir
from unet3d.utils.path_utils import get_model_h5_filename
from unet3d.utils.path_utils import get_filename_without_extension
config.update(config_unet)
# pp = pprint.PrettyPrinter(indent=4)
# # pp.pprint(config)
config.update(config_unet)
def run(model_filename, out_file, cmd):
print("="*120)
print(">> processing:", cmd)
print("log to:", out_file)
print(cmd)
os.system(cmd)
task = "finetune"
is_test = "0"
model_list = list()
cmd_list = list()
out_file_list = list()
for model_name in ["unet", "isensee"]:
for is_denoise in config_dict["is_denoise"]:
for is_normalize in config_dict["is_normalize"]:
for is_hist_match in ["0", "1"]:
for loss in ["minh", "weighted"]:
patch_shape = "160-192-128"
log_folder = "log"
make_dir(log_folder)
d = datetime.date.today()
year_current = d.year
month_current = '{:02d}'.format(d.month)
date_current = '{:02d}'.format(d.day)
model_filename = get_filename_without_extension(get_model_h5_filename(
datatype="model",
is_bias_correction="1",
is_denoise=is_denoise,
is_normalize=is_normalize,
is_hist_match=is_hist_match,
depth_unet=4,
n_base_filters_unet=16,
model_name=model_name,
patch_shape=patch_shape,
is_crf="0",
is_test=is_test,
loss=loss,
model_dim=2))
out_file = "{}/{}{}{}_{}_out.log".format(
log_folder,
year_current,
month_current,
date_current,
model_filename)
cmd = "python brats/{}.py -t \"{}\" -o \"0\" -n \"{}\" -de \"{}\" -hi \"{}\" -ps \"{}\" -l \"{}\" -m \"{}\" -ba 1 -dim 3".format(
task,
is_test,
is_normalize,
is_denoise,
is_hist_match,
patch_shape,
"minh",
model_name
)
model_list.append(model_filename)
out_file_list.append(out_file)
cmd_list.append(cmd)
import random
combined = list(zip(model_list, out_file_list, cmd_list))
random.shuffle(combined)
model_list[:], out_file_list[:], cmd_list = zip(*combined)
for i in range(len(model_list)):
model_filename = model_list[i]
out_file = out_file_list[i]
cmd = cmd_list[i]
run(model_filename, out_file, cmd) | [
"[email protected]"
]
| |
a52b455dc705da8f9fc3724685f6ef38c3740ff4 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /5pYkwf948KBQ3pNwz_13.py | f195abcf98ede33050c2a8f2b103f9ced9d8120e | []
| no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 480 | py |
from collections import Counter
def most_common_words(text, n):
words = ''.join([c if c.isalpha() else ' ' for c in text.lower()]).split()
seq = {}
idx = 0
for word in words:
if word not in seq:
idx += 1
seq[word] = idx
C = Counter(words)
L = [[k, v, seq[k]] for k, v in C.items()]
L.sort(key=lambda x: (-x[1], x[2]))
ans = {}
for i in range(min(n, len(L))):
ans[L[i][0]] = L[i][1]
return ans
| [
"[email protected]"
]
| |
961e76ad1d6a22225b91b5f9e9b5a45cc59f4df6 | f8095636248bac9e2b018ed3b06f36502edffb0b | /frontend_issuu_autotest_replica/tests_pro_account/TestQuickTourPRO.py | ede810b50de37975ec611870bca9add110124b14 | []
| no_license | slashsorin/auto-fe-test | deb1c696767b1c31125970679aa8ce4364fa956a | 266f3d7badb14c388edc63139bf659f60e09ac64 | refs/heads/master | 2016-08-04T10:22:18.123109 | 2013-11-22T09:16:57 | 2013-11-22T09:16:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,575 | py | import sys, time, os
#sys.path.append('/Users/Sorin/Issuu/new_eclipse_ws/frontend-issuu-autotest/autotest_framework/')
sys.path.append('../autotest_framework')
import SeleniumTestCase, make_platform_classes
import SetTestStatus as sts
import unittest, xmlrunner
class TestQuickTourPRO(SeleniumTestCase.SeleniumTestCase):
def test_quick_tour(self):
try:
sel = self.selenium
sel.set_speed("500")
sel.open("/signup/quicktour")
sel.wait_for_page_to_load("60000")
self.assertEqual("Issuu - Signup - A quick tour", sel.get_title())
self.failUnless(sel.is_element_present("xpath=//div[2]/div[4]/img"))
self.failUnless(sel.is_element_present("link=issuu"))
self.failUnless(sel.is_element_present("id=t3BodyTop"))
self.failUnless(sel.is_element_present("xpath=//div[2]/div[1]/div"))
self.failUnless(sel.is_element_present("xpath=//span[@class='system-blue-shade-fat-btn-text']/strong"))
sel.click("id=loginLink")
sel.wait_for_page_to_load("60000")
sel.type("id=username", "PROaccount")
sel.type("id=password", "autotest")
sel.click("xpath=//span[@class='system-blue-shade-fat-btn-text']//strong[.='Log in']")
sel.wait_for_page_to_load("60000")
self.assertEqual("Issuu - Signup - A quick tour", sel.get_title())
self.failUnless(sel.is_element_present("xpath=//div[2]/div[4]/img"))
self.failUnless(sel.is_element_present("link=issuu"))
self.failUnless(sel.is_element_present("id=t3BodyTop"))
self.failUnless(sel.is_element_present("xpath=//div[2]/div[1]/div"))
self.failUnless(sel.is_element_present("xpath=//span[@class='system-blue-shade-fat-btn-text']/strong"))
sel.click("link=Log out")
sel.wait_for_page_to_load("60000")
#print self.__class__.__name__ + " passed!"
#sts.set_test_status(self.selenium.get_eval("selenium.sessionId"), passed=True)
except AttributeError:
pass
#except: # catch *all* exceptions
#if sys.exc_info()[1]:
#sts.set_test_status(self.selenium.get_eval("selenium.sessionId"), passed=False)
#print self.__class__.__name__ + " failed!"
globals().update(make_platform_classes.make_platform_classes(TestQuickTourPRO))
if __name__ == '__main__':
unittest.main(testRunner=xmlrunner.XMLTestRunner(output='../test_reports')) | [
"[email protected]"
]
| |
e2553bf31614edf3ef91cdd52439d0a0721bc8d2 | e3fd35a8443aaf2f293ae03a5f6c819046a4dd21 | /leetcode-python/medium/_503_next_greater_element_2/test_solution.py | 68da2b92260a0e9bd3dc14ea7131a1cb31787adc | []
| no_license | hieutran106/leetcode-ht | 2223ea6bcd459c2cdbc33344c0ff69df7f8a3c7f | 8332eb20e613f82cda2e326218154c7803a32403 | refs/heads/main | 2023-08-09T02:52:41.360360 | 2023-07-27T10:12:28 | 2023-07-27T10:12:28 | 234,890,448 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 585 | py | import unittest
from .solution import Solution
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.s = Solution()
def test_case1(self):
actual = self.s.nextGreaterElements([1, 2, 1])
self.assertEqual(actual, [2, -1, 2])
def test_case2(self):
actual = self.s.nextGreaterElements([3, 1, 2, 4])
self.assertEqual(actual, [4, 2, 4, -1])
def test_case3(self):
actual = self.s.nextGreaterElements([3, 5, 2, 1])
self.assertEqual(actual, [5, -1, 3, 3])
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
]
| |
c42af3a2ce14d0a7a69408abef1650a90e836b3a | 8afb5afd38548c631f6f9536846039ef6cb297b9 | /MY_REPOS/INTERVIEW-PREP-COMPLETE/Practice/BSTFromArray/model_solution/model_solution.py | f9d67e0ad74527a0da094829f9bcf5cb690108cf | [
"MIT"
]
| permissive | bgoonz/UsefulResourceRepo2.0 | d87588ffd668bb498f7787b896cc7b20d83ce0ad | 2cb4b45dd14a230aa0e800042e893f8dfb23beda | refs/heads/master | 2023-03-17T01:22:05.254751 | 2022-08-11T03:18:22 | 2022-08-11T03:18:22 | 382,628,698 | 10 | 12 | MIT | 2022-10-10T14:13:54 | 2021-07-03T13:58:52 | null | UTF-8 | Python | false | false | 2,162 | py | import math
def create_min_height_bst(sorted_array):
left = 0
right = len(sorted_array) - 1
return rec_helper(sorted_array, left, right)
def rec_helper(sorted_array, left, right):
if left > right:
return None
midpoint = ((right - left) // 2) + left
root = BinaryTreeNode(sorted_array[midpoint])
root.left = rec_helper(sorted_array, left, midpoint - 1)
root.right = rec_helper(sorted_array, midpoint + 1, right)
return root
class BinaryTreeNode:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
# Helper function to validate that the created tree is a valid BST
def is_BST(root, min_bound, max_bound):
if root is None:
return True
if root.value < min_bound or root.value > max_bound:
return False
left = is_BST(root.left, min_bound, root.value - 1)
right = is_BST(root.right, root.value + 1, max_bound)
return left and right
# Helper function to check the max height of a BST
def find_bst_max_height(node):
if node is None:
return 0
return 1 + max(find_bst_max_height(node.left), find_bst_max_height(node.right))
# Helper function to validate that the given BST exhibits the min height
def is_bst_min_height(root, N):
bst_max_height = find_bst_max_height(root)
should_equal = math.floor(math.log2(N)) + 1
return bst_max_height == should_equal
# Helper function to count the number of nodes for a given BST
def count_bst_nodes(root, count):
if root is None:
return count
count_bst_nodes(root.left, count)
count += 1
count_bst_nodes(root.right, count)
# Some tests
sorted_array = [1, 2, 3, 4, 5, 6, 7]
bst = create_min_height_bst(sorted_array)
print(is_BST(bst, float("-inf"), float("inf"))) # should print true
print(is_bst_min_height(bst, len(sorted_array))) # should print true
sorted_array = [4, 10, 11, 18, 42, 43, 47, 49, 55, 67, 79, 89, 90, 95, 98, 100]
bst = create_min_height_bst(sorted_array)
print(is_BST(bst, float("-inf"), float("inf"))) # should print true
print(is_bst_min_height(bst, len(sorted_array))) # should print true
| [
"[email protected]"
]
| |
bdceae09f3f12e2c784454982314c598267c7550 | d1d626e557cc3ec2068734c464afdde6d0b44a92 | /bot/models.py | 70d55805aa7993b986707e1145d34e9f2b759e43 | []
| no_license | akhad97/Telegram-Bot | d279899f1cacebdb3317f2084047beaa4507c0fb | fd999c03b7b1abd2d433efcd67d9047430c66e4a | refs/heads/master | 2023-07-02T06:53:41.697269 | 2021-08-03T17:41:07 | 2021-08-03T17:41:07 | 352,558,410 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,104 | py | from django.db import models
class TelegramUser(models.Model):
user_id = models.CharField(max_length=30)
full_name = models.CharField(max_length=100)
phone_number = models.CharField(max_length=15, null=True)
resume = models.CharField(max_length=100, null=True)
# resume = models.FileField(upload_to="resume/%Y/%m", null=True)
class Meta:
verbose_name = 'TelegramUser'
verbose_name_plural = 'TelegramUsers'
def __str__(self):
return self.full_name
class Vacancy(models.Model):
name = models.CharField(max_length=100, null=True, blank=True)
def __str__(self):
return self.name
# class Language(models.Model):
# vacancy = models.ForeignKey(Vacancy, on_delete=models.CASCADE)
# name = models.CharField(max_length=50)
# code = models.CharField(max_length=30)
class Post(models.Model):
user = models.ForeignKey(TelegramUser, on_delete=models.CASCADE, null = True)
vacancy = models.ForeignKey(Vacancy, on_delete=models.CASCADE, null = True)
def __str__(self):
return self.user.full_name | [
"[email protected]"
]
| |
50f40cf5fe4eeddfd739731d65089c3ef176b974 | 3a751dd11ad893d4222cc52148d0829de9f4029f | /django/django_extras/ajax_note/manage.py | 280f9446088e0e061158fa6cefe483cacf4818a9 | []
| no_license | higashizono33/python_stack | 76b5fc63a63913e309a545b7f586a99c684fa0d2 | 5ec93e384e911b9d05de54af232d464928b76e7e | refs/heads/master | 2023-04-18T23:18:21.569125 | 2021-04-26T02:40:55 | 2021-04-26T02:40:55 | 339,864,117 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 629 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ajax_note.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()
| [
"[email protected]"
]
| |
3d0676ba2f791a63793876a7f9cac6d72829b2f7 | f845225329fa9750c838bf511fed3beb48cc86af | /accounts/migrations/0024_auto_20190104_1910.py | 548b1c2d5d7579453106f5fb740c98f2b35c2c4a | []
| no_license | Fabricourt/btre_project- | ac8c2b84cc8b7f4f5368a204dc23b378d488b356 | 13defd495ba309ac31550d22ad7d6306638f91eb | refs/heads/master | 2020-04-15T11:03:05.980170 | 2019-01-08T11:16:56 | 2019-01-08T11:16:56 | 164,611,152 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 413 | py | # Generated by Django 2.1.4 on 2019-01-04 16:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0023_dashboard_title'),
]
operations = [
migrations.AlterField(
model_name='dashboard',
name='title',
field=models.CharField(blank=True, default=None, max_length=200),
),
]
| [
"[email protected]"
]
| |
1960f27aab4a6e04b44d42cae1957586f552c1e4 | 244ecfc2017a48c70b74556be8c188e7a4815848 | /res/scripts/client/gui/battle_control/requests/__init__.py | cb82e19a0f4681639e117250b900737bead761e8 | []
| no_license | webiumsk/WOT-0.9.12 | c1e1259411ba1e6c7b02cd6408b731419d3174e5 | 5be5fd9186f335e7bae88c9761c378ff5fbf5351 | refs/heads/master | 2021-01-10T01:38:36.523788 | 2015-11-18T11:33:37 | 2015-11-18T11:33:37 | 46,414,438 | 1 | 0 | null | null | null | null | WINDOWS-1250 | Python | false | false | 491 | py | # 2015.11.18 11:52:01 Střední Evropa (běžný čas)
# Embedded file name: scripts/client/gui/battle_control/requests/__init__.py
from gui.battle_control.requests.AvatarRequestsController import AvatarRequestsController
__all__ = ['AvatarRequestsController']
# okay decompyling c:\Users\PC\wotsources\files\originals\res\scripts\client\gui\battle_control\requests\__init__.pyc
# decompiled 1 files: 1 okay, 0 failed, 0 verify failed
# 2015.11.18 11:52:01 Střední Evropa (běžný čas)
| [
"[email protected]"
]
| |
030305ab4f62d57c7c891748c1539069d222cb70 | 35b5f50626d33b17f38f311e9d5fc6b727d25765 | /gui/kivy/uix/dialogs/invoices.py | 8904edf6fbc412e1c895baa64e3ebd02c67d15b9 | [
"MIT"
]
| permissive | bitcoinpostquantum/electrumpq | 7fcf5a3fbda2b05f033340ba61fc23e46997f5ed | dbbc2a493aff904923cd8112fc5bb07802df272c | refs/heads/master | 2020-04-10T10:09:24.239700 | 2018-12-29T09:49:58 | 2018-12-29T09:49:58 | 160,957,005 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,810 | py | from kivy.app import App
from kivy.factory import Factory
from kivy.properties import ObjectProperty
from kivy.lang import Builder
from decimal import Decimal
Builder.load_string('''
<InvoicesLabel@Label>
#color: .305, .309, .309, 1
text_size: self.width, None
halign: 'left'
valign: 'top'
<InvoiceItem@CardItem>
requestor: ''
memo: ''
amount: ''
status: ''
date: ''
icon: 'atlas://gui/kivy/theming/light/important'
Image:
id: icon
source: root.icon
size_hint: None, 1
width: self.height *.54
mipmap: True
BoxLayout:
spacing: '8dp'
height: '32dp'
orientation: 'vertical'
Widget
InvoicesLabel:
text: root.requestor
shorten: True
Widget
InvoicesLabel:
text: root.memo
color: .699, .699, .699, 1
font_size: '13sp'
shorten: True
Widget
BoxLayout:
spacing: '8dp'
height: '32dp'
orientation: 'vertical'
Widget
InvoicesLabel:
text: root.amount
font_size: '15sp'
halign: 'right'
width: '110sp'
Widget
InvoicesLabel:
text: root.status
font_size: '13sp'
halign: 'right'
color: .699, .699, .699, 1
Widget
<InvoicesDialog@Popup>
id: popup
title: _('Invoices')
BoxLayout:
id: box
orientation: 'vertical'
spacing: '1dp'
ScrollView:
GridLayout:
cols: 1
id: invoices_container
size_hint: 1, None
height: self.minimum_height
spacing: '2dp'
padding: '12dp'
''')
from kivy.properties import BooleanProperty
from electrumpq_gui.kivy.i18n import _
from electrumpq.util import format_time
from electrumpq.paymentrequest import PR_UNPAID, PR_PAID, PR_UNKNOWN, PR_EXPIRED
from electrumpq_gui.kivy.uix.context_menu import ContextMenu
invoice_text = {
PR_UNPAID:_('Pending'),
PR_UNKNOWN:_('Unknown'),
PR_PAID:_('Paid'),
PR_EXPIRED:_('Expired')
}
pr_icon = {
PR_UNPAID: 'atlas://gui/kivy/theming/light/important',
PR_UNKNOWN: 'atlas://gui/kivy/theming/light/important',
PR_PAID: 'atlas://gui/kivy/theming/light/confirmed',
PR_EXPIRED: 'atlas://gui/kivy/theming/light/close'
}
class InvoicesDialog(Factory.Popup):
def __init__(self, app, screen, callback):
Factory.Popup.__init__(self)
self.app = app
self.screen = screen
self.callback = callback
self.cards = {}
self.context_menu = None
def get_card(self, pr):
key = pr.get_id()
ci = self.cards.get(key)
if ci is None:
ci = Factory.InvoiceItem()
ci.key = key
ci.screen = self
self.cards[key] = ci
ci.requestor = pr.get_requestor()
ci.memo = pr.get_memo()
amount = pr.get_amount()
if amount:
ci.amount = self.app.format_amount_and_units(amount)
status = self.app.wallet.invoices.get_status(ci.key)
ci.status = invoice_text[status]
ci.icon = pr_icon[status]
else:
ci.amount = _('No Amount')
ci.status = ''
exp = pr.get_expiration_date()
ci.date = format_time(exp) if exp else _('Never')
return ci
def update(self):
self.menu_actions = [('Pay', self.do_pay), ('Details', self.do_view), ('Delete', self.do_delete)]
invoices_list = self.ids.invoices_container
invoices_list.clear_widgets()
_list = self.app.wallet.invoices.sorted_list()
for pr in _list:
ci = self.get_card(pr)
invoices_list.add_widget(ci)
def do_pay(self, obj):
self.hide_menu()
self.dismiss()
pr = self.app.wallet.invoices.get(obj.key)
self.app.on_pr(pr)
def do_view(self, obj):
pr = self.app.wallet.invoices.get(obj.key)
pr.verify(self.app.wallet.contacts)
self.app.show_pr_details(pr.get_dict(), obj.status, True)
def do_delete(self, obj):
from .question import Question
def cb(result):
if result:
self.app.wallet.invoices.remove(obj.key)
self.hide_menu()
self.update()
d = Question(_('Delete invoice?'), cb)
d.open()
def show_menu(self, obj):
self.hide_menu()
self.context_menu = ContextMenu(obj, self.menu_actions)
self.ids.box.add_widget(self.context_menu)
def hide_menu(self):
if self.context_menu is not None:
self.ids.box.remove_widget(self.context_menu)
self.context_menu = None
| [
"[email protected]"
]
| |
1c76e72cd8addfb1c576f4225f82d9d5ad24d572 | f64f8a8827219371236f0e2ad3d5220ec1825cb2 | /bux/_commands/_losers.py | 32efa4c463b6d14b31e50be4b8aa634548f350b3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
]
| permissive | orsinium-labs/bux | 2b1c0c19aa06d480a90386cdda66af855a746f32 | fbb5727b759719f15ec38dd4bf00e493690854b4 | refs/heads/master | 2023-07-12T19:35:14.768488 | 2021-08-30T11:19:03 | 2021-08-30T11:19:03 | 389,935,936 | 6 | 0 | null | null | null | null | UTF-8 | Python | false | false | 593 | py | from argparse import ArgumentParser
import bux
from ._base import Command, register
@register
class Losers(Command):
name = 'losers'
@staticmethod
def init_parser(parser: ArgumentParser) -> None:
parser.add_argument('--token', required=True)
def run(self) -> int:
api = bux.UserAPI(token=self.args.token)
movers = api.securities().movers().requests()
for stock in movers.losers:
gain = (stock.bid.amount / stock.closing_bid.amount - 1) * 100
self.print(f'{stock.id} {stock.name:25} {gain:+.02f}%')
return 0
| [
"[email protected]"
]
| |
d671f49d5bf51d6b819c2844d458b42b7ada6c94 | 17cad1d357380875243b804ffd13882f1a7d61a8 | /0x0B-python-input_output/2-read_lines.py | f33d4e7521358ff0ab260754b7aa8efa81a6ae2c | []
| no_license | Abdou-Hidoussi/holbertonschool-higher_level_programming | 9a0c0714b63ccd9823798adb51eb4f395ab375dc | 1dd37cc5f848d1f37884e6ffbe9598eae8c4f30e | refs/heads/master | 2023-03-05T00:02:25.283646 | 2021-02-18T20:42:26 | 2021-02-18T20:42:26 | 291,713,076 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 309 | py | #!/usr/bin/python3
"""
task 2
"""
def read_lines(filename="", nb_lines=0):
"""read line function"""
with open(filename, encoding="utf-8") as f:
if nb_lines <= 0:
print(f.read(), end="")
return
for i in range(nb_lines):
print(f.readline(), end="")
| [
"[email protected]"
]
| |
4649092af7c99f1f913f1b6305e81c3ad84e7b26 | 2b4af8810511b5f1ed47fdf5662753b9b4af76b8 | /corehq/apps/case_search/migrations/0004_auto_20170518_2018.py | 90b4ceefdfb27e1e0f3dd0893ad81a5dd1d8a782 | []
| no_license | DeckOfPandas/commcare-wddcp | 55bde89197ec5bc4a4b53d327ec6a811aec0d752 | 810d2e09d3890e3d0d70178745da5924c1db767b | refs/heads/dimagi | 2020-12-02T19:19:53.992796 | 2017-06-30T15:18:16 | 2017-07-05T12:23:26 | 96,325,707 | 1 | 0 | null | 2017-07-05T14:02:49 | 2017-07-05T14:02:49 | null | UTF-8 | Python | false | false | 1,843 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-05-18 20:18
from __future__ import unicode_literals
import django.contrib.postgres.fields
from django.db import migrations, models
import jsonfield.fields
class Migration(migrations.Migration):
dependencies = [
('case_search', '0003_casesearchqueryaddition'),
]
operations = [
migrations.CreateModel(
name='FuzzyProperties',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('domain', models.CharField(db_index=True, max_length=256)),
('case_type', models.CharField(db_index=True, max_length=256)),
('properties', django.contrib.postgres.fields.ArrayField(base_field=models.TextField(blank=True, null=True), null=True, size=None)),
],
),
migrations.AlterField(
model_name='casesearchqueryaddition',
name='query_addition',
field=jsonfield.fields.JSONField(default=dict, help_text=b"More information about how this field is used can be found <a href='https://docs.google.com/document/d/1MKllkHZ6JlxhfqZLZKWAnfmlA3oUqCLOc7iKzxFTzdY/edit#heading=h.k5pky76mwwon'>here</a>. This ES <a href='https://www.elastic.co/guide/en/elasticsearch/guide/1.x/bool-query.html'>documentation</a> may also be useful. This JSON will be merged at the `query.filtered.query` path of the query JSON."),
),
migrations.AlterUniqueTogether(
name='fuzzyproperties',
unique_together=set([('domain', 'case_type')]),
),
migrations.AddField(
model_name='casesearchconfig',
name='fuzzy_properties',
field=models.ManyToManyField(to='case_search.FuzzyProperties'),
),
]
| [
"[email protected]"
]
| |
e76376d0d332a1f8cd16367b148f06b9022ba13b | d65128e38be0243f279e0d72ef85e7d3c5e116ca | /base/site-packages/django/db/models/sql/compiler.py | 2a5abdfa217d68efa5ee1eeb553a13fc89e89164 | [
"Apache-2.0"
]
| permissive | ZxwZero/fastor | 19bfc568f9a68f1447c2e049428330ade02d451d | dd9e299e250362802032d1984801bed249e36d8d | refs/heads/master | 2021-06-26T06:40:38.555211 | 2021-06-09T02:05:38 | 2021-06-09T02:05:38 | 229,753,500 | 1 | 1 | Apache-2.0 | 2019-12-23T12:59:25 | 2019-12-23T12:59:24 | null | UTF-8 | Python | false | false | 50,329 | py | import datetime
from django.conf import settings
from django.core.exceptions import FieldError
from django.db.backends.util import truncate_name
from django.db.models.constants import LOOKUP_SEP
from django.db.models.query_utils import select_related_descend, QueryWrapper
from django.db.models.sql.constants import (SINGLE, MULTI, ORDER_DIR,
GET_ITERATOR_CHUNK_SIZE, SelectInfo)
from django.db.models.sql.datastructures import EmptyResultSet
from django.db.models.sql.expressions import SQLEvaluator
from django.db.models.sql.query import get_order_dir, Query
from django.db.utils import DatabaseError
from django.utils import six
from django.utils.six.moves import zip
from django.utils import timezone
class SQLCompiler(object):
def __init__(self, query, connection, using):
self.query = query
self.connection = connection
self.using = using
self.quote_cache = {}
# When ordering a queryset with distinct on a column not part of the
# select set, the ordering column needs to be added to the select
# clause. This information is needed both in SQL construction and
# masking away the ordering selects from the returned row.
self.ordering_aliases = []
self.ordering_params = []
def pre_sql_setup(self):
"""
Does any necessary class setup immediately prior to producing SQL. This
is for things that can't necessarily be done in __init__ because we
might not have all the pieces in place at that time.
# TODO: after the query has been executed, the altered state should be
# cleaned. We are not using a clone() of the query here.
"""
if not self.query.tables:
self.query.join((None, self.query.get_meta().db_table, None))
if (not self.query.select and self.query.default_cols and not
self.query.included_inherited_models):
self.query.setup_inherited_models()
if self.query.select_related and not self.query.related_select_cols:
self.fill_related_selections()
def quote_name_unless_alias(self, name):
"""
A wrapper around connection.ops.quote_name that doesn't quote aliases
for table names. This avoids problems with some SQL dialects that treat
quoted strings specially (e.g. PostgreSQL).
"""
if name in self.quote_cache:
return self.quote_cache[name]
if ((name in self.query.alias_map and name not in self.query.table_map) or
name in self.query.extra_select):
self.quote_cache[name] = name
return name
r = self.connection.ops.quote_name(name)
self.quote_cache[name] = r
return r
def as_sql(self, with_limits=True, with_col_aliases=False):
"""
Creates the SQL for this query. Returns the SQL string and list of
parameters.
If 'with_limits' is False, any limit/offset information is not included
in the query.
"""
if with_limits and self.query.low_mark == self.query.high_mark:
return '', ()
self.pre_sql_setup()
# After executing the query, we must get rid of any joins the query
# setup created. So, take note of alias counts before the query ran.
# However we do not want to get rid of stuff done in pre_sql_setup(),
# as the pre_sql_setup will modify query state in a way that forbids
# another run of it.
self.refcounts_before = self.query.alias_refcount.copy()
out_cols, s_params = self.get_columns(with_col_aliases)
ordering, o_params, ordering_group_by = self.get_ordering()
distinct_fields = self.get_distinct()
# This must come after 'select', 'ordering' and 'distinct' -- see
# docstring of get_from_clause() for details.
from_, f_params = self.get_from_clause()
qn = self.quote_name_unless_alias
where, w_params = self.query.where.as_sql(qn=qn, connection=self.connection)
having, h_params = self.query.having.as_sql(qn=qn, connection=self.connection)
having_group_by = self.query.having.get_cols()
params = []
for val in six.itervalues(self.query.extra_select):
params.extend(val[1])
result = ['SELECT']
if self.query.distinct:
result.append(self.connection.ops.distinct_sql(distinct_fields))
params.extend(o_params)
result.append(', '.join(out_cols + self.ordering_aliases))
params.extend(s_params)
params.extend(self.ordering_params)
result.append('FROM')
result.extend(from_)
params.extend(f_params)
if where:
result.append('WHERE %s' % where)
params.extend(w_params)
grouping, gb_params = self.get_grouping(having_group_by, ordering_group_by)
if grouping:
if distinct_fields:
raise NotImplementedError(
"annotate() + distinct(fields) not implemented.")
if not ordering:
ordering = self.connection.ops.force_no_ordering()
result.append('GROUP BY %s' % ', '.join(grouping))
params.extend(gb_params)
if having:
result.append('HAVING %s' % having)
params.extend(h_params)
if ordering:
result.append('ORDER BY %s' % ', '.join(ordering))
if with_limits:
if self.query.high_mark is not None:
result.append('LIMIT %d' % (self.query.high_mark - self.query.low_mark))
if self.query.low_mark:
if self.query.high_mark is None:
val = self.connection.ops.no_limit_value()
if val:
result.append('LIMIT %d' % val)
result.append('OFFSET %d' % self.query.low_mark)
if self.query.select_for_update and self.connection.features.has_select_for_update:
# If we've been asked for a NOWAIT query but the backend does not support it,
# raise a DatabaseError otherwise we could get an unexpected deadlock.
nowait = self.query.select_for_update_nowait
if nowait and not self.connection.features.has_select_for_update_nowait:
raise DatabaseError('NOWAIT is not supported on this database backend.')
result.append(self.connection.ops.for_update_sql(nowait=nowait))
# Finally do cleanup - get rid of the joins we created above.
self.query.reset_refcounts(self.refcounts_before)
return ' '.join(result), tuple(params)
def as_nested_sql(self):
"""
Perform the same functionality as the as_sql() method, returning an
SQL string and parameters. However, the alias prefixes are bumped
beforehand (in a copy -- the current query isn't changed), and any
ordering is removed if the query is unsliced.
Used when nesting this query inside another.
"""
obj = self.query.clone()
if obj.low_mark == 0 and obj.high_mark is None:
# If there is no slicing in use, then we can safely drop all ordering
obj.clear_ordering(True)
obj.bump_prefix()
return obj.get_compiler(connection=self.connection).as_sql()
def get_columns(self, with_aliases=False):
"""
Returns the list of columns to use in the select statement, as well as
a list any extra parameters that need to be included. If no columns
have been specified, returns all columns relating to fields in the
model.
If 'with_aliases' is true, any column names that are duplicated
(without the table names) are given unique aliases. This is needed in
some cases to avoid ambiguity with nested queries.
"""
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
result = ['(%s) AS %s' % (col[0], qn2(alias)) for alias, col in six.iteritems(self.query.extra_select)]
params = []
aliases = set(self.query.extra_select.keys())
if with_aliases:
col_aliases = aliases.copy()
else:
col_aliases = set()
if self.query.select:
only_load = self.deferred_to_columns()
for col, _ in self.query.select:
if isinstance(col, (list, tuple)):
alias, column = col
table = self.query.alias_map[alias].table_name
if table in only_load and column not in only_load[table]:
continue
r = '%s.%s' % (qn(alias), qn(column))
if with_aliases:
if col[1] in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s AS %s' % (r, c_alias))
aliases.add(c_alias)
col_aliases.add(c_alias)
else:
result.append('%s AS %s' % (r, qn2(col[1])))
aliases.add(r)
col_aliases.add(col[1])
else:
result.append(r)
aliases.add(r)
col_aliases.add(col[1])
else:
col_sql, col_params = col.as_sql(qn, self.connection)
result.append(col_sql)
params.extend(col_params)
if hasattr(col, 'alias'):
aliases.add(col.alias)
col_aliases.add(col.alias)
elif self.query.default_cols:
cols, new_aliases = self.get_default_columns(with_aliases,
col_aliases)
result.extend(cols)
aliases.update(new_aliases)
max_name_length = self.connection.ops.max_name_length()
for alias, aggregate in self.query.aggregate_select.items():
agg_sql, agg_params = aggregate.as_sql(qn, self.connection)
if alias is None:
result.append(agg_sql)
else:
result.append('%s AS %s' % (agg_sql, qn(truncate_name(alias, max_name_length))))
params.extend(agg_params)
for (table, col), _ in self.query.related_select_cols:
r = '%s.%s' % (qn(table), qn(col))
if with_aliases and col in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s AS %s' % (r, c_alias))
aliases.add(c_alias)
col_aliases.add(c_alias)
else:
result.append(r)
aliases.add(r)
col_aliases.add(col)
self._select_aliases = aliases
return result, params
def get_default_columns(self, with_aliases=False, col_aliases=None,
start_alias=None, opts=None, as_pairs=False, from_parent=None):
"""
Computes the default columns for selecting every field in the base
model. Will sometimes be called to pull in related models (e.g. via
select_related), in which case "opts" and "start_alias" will be given
to provide a starting point for the traversal.
Returns a list of strings, quoted appropriately for use in SQL
directly, as well as a set of aliases used in the select statement (if
'as_pairs' is True, returns a list of (alias, col_name) pairs instead
of strings as the first component and None as the second component).
"""
result = []
if opts is None:
opts = self.query.get_meta()
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
aliases = set()
only_load = self.deferred_to_columns()
if not start_alias:
start_alias = self.query.get_initial_alias()
# The 'seen_models' is used to optimize checking the needed parent
# alias for a given field. This also includes None -> start_alias to
# be used by local fields.
seen_models = {None: start_alias}
for field, model in opts.get_concrete_fields_with_model():
if from_parent and model is not None and issubclass(from_parent, model):
# Avoid loading data for already loaded parents.
continue
alias = self.query.join_parent_model(opts, model, start_alias,
seen_models)
table = self.query.alias_map[alias].table_name
if table in only_load and field.column not in only_load[table]:
continue
if as_pairs:
result.append((alias, field.column))
aliases.add(alias)
continue
if with_aliases and field.column in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s.%s AS %s' % (qn(alias),
qn2(field.column), c_alias))
col_aliases.add(c_alias)
aliases.add(c_alias)
else:
r = '%s.%s' % (qn(alias), qn2(field.column))
result.append(r)
aliases.add(r)
if with_aliases:
col_aliases.add(field.column)
return result, aliases
def get_distinct(self):
"""
Returns a quoted list of fields to use in DISTINCT ON part of the query.
Note that this method can alter the tables in the query, and thus it
must be called before get_from_clause().
"""
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
result = []
opts = self.query.get_meta()
for name in self.query.distinct_fields:
parts = name.split(LOOKUP_SEP)
field, cols, alias, _, _ = self._setup_joins(parts, opts, None)
cols, alias = self._final_join_removal(cols, alias)
for col in cols:
result.append("%s.%s" % (qn(alias), qn2(col)))
return result
def get_ordering(self):
"""
Returns a tuple containing a list representing the SQL elements in the
"order by" clause, and the list of SQL elements that need to be added
to the GROUP BY clause as a result of the ordering.
Also sets the ordering_aliases attribute on this instance to a list of
extra aliases needed in the select.
Determining the ordering SQL can change the tables we need to include,
so this should be run *before* get_from_clause().
"""
if self.query.extra_order_by:
ordering = self.query.extra_order_by
elif not self.query.default_ordering:
ordering = self.query.order_by
else:
ordering = (self.query.order_by
or self.query.get_meta().ordering
or [])
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
distinct = self.query.distinct
select_aliases = self._select_aliases
result = []
group_by = []
ordering_aliases = []
if self.query.standard_ordering:
asc, desc = ORDER_DIR['ASC']
else:
asc, desc = ORDER_DIR['DESC']
# It's possible, due to model inheritance, that normal usage might try
# to include the same field more than once in the ordering. We track
# the table/column pairs we use and discard any after the first use.
processed_pairs = set()
params = []
ordering_params = []
for pos, field in enumerate(ordering):
if field == '?':
result.append(self.connection.ops.random_function_sql())
continue
if isinstance(field, int):
if field < 0:
order = desc
field = -field
else:
order = asc
result.append('%s %s' % (field, order))
group_by.append((str(field), []))
continue
col, order = get_order_dir(field, asc)
if col in self.query.aggregate_select:
result.append('%s %s' % (qn(col), order))
continue
if '.' in field:
# This came in through an extra(order_by=...) addition. Pass it
# on verbatim.
table, col = col.split('.', 1)
if (table, col) not in processed_pairs:
elt = '%s.%s' % (qn(table), col)
processed_pairs.add((table, col))
if not distinct or elt in select_aliases:
result.append('%s %s' % (elt, order))
group_by.append((elt, []))
elif get_order_dir(field)[0] not in self.query.extra:
# 'col' is of the form 'field' or 'field1__field2' or
# '-field1__field2__field', etc.
for table, cols, order in self.find_ordering_name(field,
self.query.get_meta(), default_order=asc):
for col in cols:
if (table, col) not in processed_pairs:
elt = '%s.%s' % (qn(table), qn2(col))
processed_pairs.add((table, col))
if distinct and elt not in select_aliases:
ordering_aliases.append(elt)
result.append('%s %s' % (elt, order))
group_by.append((elt, []))
else:
elt = qn2(col)
if col not in self.query.extra_select:
sql = "(%s) AS %s" % (self.query.extra[col][0], elt)
ordering_aliases.append(sql)
ordering_params.extend(self.query.extra[col][1])
else:
if distinct and col not in select_aliases:
ordering_aliases.append(elt)
ordering_params.extend(params)
result.append('%s %s' % (elt, order))
group_by.append(self.query.extra[col])
self.ordering_aliases = ordering_aliases
self.ordering_params = ordering_params
return result, params, group_by
def find_ordering_name(self, name, opts, alias=None, default_order='ASC',
already_seen=None):
"""
Returns the table alias (the name might be ambiguous, the alias will
not be) and column name for ordering by the given 'name' parameter.
The 'name' is of the form 'field1__field2__...__fieldN'.
"""
name, order = get_order_dir(name, default_order)
pieces = name.split(LOOKUP_SEP)
field, cols, alias, joins, opts = self._setup_joins(pieces, opts, alias)
# If we get to this point and the field is a relation to another model,
# append the default ordering for that model.
if field.rel and len(joins) > 1 and opts.ordering:
# Firstly, avoid infinite loops.
if not already_seen:
already_seen = set()
join_tuple = tuple([self.query.alias_map[j].table_name for j in joins])
if join_tuple in already_seen:
raise FieldError('Infinite loop caused by ordering.')
already_seen.add(join_tuple)
results = []
for item in opts.ordering:
results.extend(self.find_ordering_name(item, opts, alias,
order, already_seen))
return results
cols, alias = self._final_join_removal(cols, alias)
return [(alias, cols, order)]
def _setup_joins(self, pieces, opts, alias):
"""
A helper method for get_ordering and get_distinct. This method will
call query.setup_joins, handle refcounts and then promote the joins.
Note that get_ordering and get_distinct must produce same target
columns on same input, as the prefixes of get_ordering and get_distinct
must match. Executing SQL where this is not true is an error.
"""
if not alias:
alias = self.query.get_initial_alias()
field, targets, opts, joins, _ = self.query.setup_joins(
pieces, opts, alias)
# We will later on need to promote those joins that were added to the
# query afresh above.
joins_to_promote = [j for j in joins if self.query.alias_refcount[j] < 2]
alias = joins[-1]
cols = [target.column for target in targets]
if not field.rel:
# To avoid inadvertent trimming of a necessary alias, use the
# refcount to show that we are referencing a non-relation field on
# the model.
self.query.ref_alias(alias)
# Must use left outer joins for nullable fields and their relations.
# Ordering or distinct must not affect the returned set, and INNER
# JOINS for nullable fields could do this.
self.query.promote_joins(joins_to_promote)
return field, cols, alias, joins, opts
def _final_join_removal(self, cols, alias):
"""
A helper method for get_distinct and get_ordering. This method will
trim extra not-needed joins from the tail of the join chain.
This is very similar to what is done in trim_joins, but we will
trim LEFT JOINS here. It would be a good idea to consolidate this
method and query.trim_joins().
"""
if alias:
while 1:
join = self.query.alias_map[alias]
lhs_cols, rhs_cols = zip(*[(lhs_col, rhs_col) for lhs_col, rhs_col in join.join_cols])
if set(cols) != set(rhs_cols):
break
cols = [lhs_cols[rhs_cols.index(col)] for col in cols]
self.query.unref_alias(alias)
alias = join.lhs_alias
return cols, alias
def get_from_clause(self):
"""
Returns a list of strings that are joined together to go after the
"FROM" part of the query, as well as a list any extra parameters that
need to be included. Sub-classes, can override this to create a
from-clause via a "select".
This should only be called after any SQL construction methods that
might change the tables we need. This means the select columns,
ordering and distinct must be done first.
"""
result = []
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
first = True
from_params = []
for alias in self.query.tables:
if not self.query.alias_refcount[alias]:
continue
try:
name, alias, join_type, lhs, join_cols, _, join_field = self.query.alias_map[alias]
except KeyError:
# Extra tables can end up in self.tables, but not in the
# alias_map if they aren't in a join. That's OK. We skip them.
continue
alias_str = '' if alias == name else (' %s' % alias)
if join_type and not first:
extra_cond = join_field.get_extra_restriction(
self.query.where_class, alias, lhs)
if extra_cond:
extra_sql, extra_params = extra_cond.as_sql(
qn, self.connection)
extra_sql = 'AND (%s)' % extra_sql
from_params.extend(extra_params)
else:
extra_sql = ""
result.append('%s %s%s ON ('
% (join_type, qn(name), alias_str))
for index, (lhs_col, rhs_col) in enumerate(join_cols):
if index != 0:
result.append(' AND ')
result.append('%s.%s = %s.%s' %
(qn(lhs), qn2(lhs_col), qn(alias), qn2(rhs_col)))
result.append('%s)' % extra_sql)
else:
connector = '' if first else ', '
#result.append('%s%s%s' % (connector, qn(name), alias_str))
part = '%s%s%s' % (connector, qn(name), alias_str)
for model, hint in self.query.hints.items():
if model._meta.db_table == name:
part += ' FORCE INDEX (%s)' % ', '.join(hint)
result.append(part)
first = False
for t in self.query.extra_tables:
alias, unused = self.query.table_alias(t)
# Only add the alias if it's not already present (the table_alias()
# calls increments the refcount, so an alias refcount of one means
# this is the only reference.
if alias not in self.query.alias_map or self.query.alias_refcount[alias] == 1:
connector = '' if first else ', '
result.append('%s%s' % (connector, qn(alias)))
first = False
return result, from_params
def get_grouping(self, having_group_by, ordering_group_by):
"""
Returns a tuple representing the SQL elements in the "group by" clause.
"""
qn = self.quote_name_unless_alias
result, params = [], []
if self.query.group_by is not None:
select_cols = self.query.select + self.query.related_select_cols
# Just the column, not the fields.
select_cols = [s[0] for s in select_cols]
if (len(self.query.get_meta().concrete_fields) == len(self.query.select)
and self.connection.features.allows_group_by_pk):
self.query.group_by = [
(self.query.get_meta().db_table, self.query.get_meta().pk.column)
]
select_cols = []
seen = set()
cols = self.query.group_by + having_group_by + select_cols
for col in cols:
col_params = ()
if isinstance(col, (list, tuple)):
sql = '%s.%s' % (qn(col[0]), qn(col[1]))
elif hasattr(col, 'as_sql'):
sql, col_params = col.as_sql(qn, self.connection)
else:
sql = '(%s)' % str(col)
if sql not in seen:
result.append(sql)
params.extend(col_params)
seen.add(sql)
# Still, we need to add all stuff in ordering (except if the backend can
# group by just by PK).
if ordering_group_by and not self.connection.features.allows_group_by_pk:
for order, order_params in ordering_group_by:
# Even if we have seen the same SQL string, it might have
# different params, so, we add same SQL in "has params" case.
if order not in seen or order_params:
result.append(order)
params.extend(order_params)
seen.add(order)
# Unconditionally add the extra_select items.
for extra_select, extra_params in self.query.extra_select.values():
sql = '(%s)' % str(extra_select)
result.append(sql)
params.extend(extra_params)
return result, params
def fill_related_selections(self, opts=None, root_alias=None, cur_depth=1,
requested=None, restricted=None, nullable=None):
"""
Fill in the information needed for a select_related query. The current
depth is measured as the number of connections away from the root model
(for example, cur_depth=1 means we are looking at models with direct
connections to the root model).
"""
if not restricted and self.query.max_depth and cur_depth > self.query.max_depth:
# We've recursed far enough; bail out.
return
if not opts:
opts = self.query.get_meta()
root_alias = self.query.get_initial_alias()
self.query.related_select_cols = []
only_load = self.query.get_loaded_field_names()
# Setup for the case when only particular related fields should be
# included in the related selection.
if requested is None:
if isinstance(self.query.select_related, dict):
requested = self.query.select_related
restricted = True
else:
restricted = False
for f, model in opts.get_fields_with_model():
# The get_fields_with_model() returns None for fields that live
# in the field's local model. So, for those fields we want to use
# the f.model - that is the field's local model.
field_model = model or f.model
if not select_related_descend(f, restricted, requested,
only_load.get(field_model)):
continue
promote = nullable or f.null
_, _, _, joins, _ = self.query.setup_joins(
[f.name], opts, root_alias, outer_if_first=promote)
alias = joins[-1]
columns, aliases = self.get_default_columns(start_alias=alias,
opts=f.rel.to._meta, as_pairs=True)
self.query.related_select_cols.extend(
SelectInfo(col, field) for col, field in zip(columns, f.rel.to._meta.concrete_fields))
if restricted:
next = requested.get(f.name, {})
else:
next = False
new_nullable = f.null or promote
self.fill_related_selections(f.rel.to._meta, alias, cur_depth + 1,
next, restricted, new_nullable)
if restricted:
related_fields = [
(o.field, o.model)
for o in opts.get_all_related_objects()
if o.field.unique
]
for f, model in related_fields:
if not select_related_descend(f, restricted, requested,
only_load.get(model), reverse=True):
continue
_, _, _, joins, _ = self.query.setup_joins(
[f.related_query_name()], opts, root_alias, outer_if_first=True)
alias = joins[-1]
from_parent = (opts.model if issubclass(model, opts.model)
else None)
columns, aliases = self.get_default_columns(start_alias=alias,
opts=model._meta, as_pairs=True, from_parent=from_parent)
self.query.related_select_cols.extend(
SelectInfo(col, field) for col, field
in zip(columns, model._meta.concrete_fields))
next = requested.get(f.related_query_name(), {})
# Use True here because we are looking at the _reverse_ side of
# the relation, which is always nullable.
new_nullable = True
self.fill_related_selections(model._meta, alias, cur_depth + 1,
next, restricted, new_nullable)
def deferred_to_columns(self):
"""
Converts the self.deferred_loading data structure to mapping of table
names to sets of column names which are to be loaded. Returns the
dictionary.
"""
columns = {}
self.query.deferred_to_data(columns, self.query.deferred_to_columns_cb)
return columns
def results_iter(self):
"""
Returns an iterator over the results from executing this query.
"""
resolve_columns = hasattr(self, 'resolve_columns')
fields = None
has_aggregate_select = bool(self.query.aggregate_select)
for rows in self.execute_sql(MULTI):
for row in rows:
if has_aggregate_select:
loaded_fields = self.query.get_loaded_field_names().get(self.query.model, set()) or self.query.select
aggregate_start = len(self.query.extra_select) + len(loaded_fields)
aggregate_end = aggregate_start + len(self.query.aggregate_select)
if resolve_columns:
if fields is None:
# We only set this up here because
# related_select_cols isn't populated until
# execute_sql() has been called.
# We also include types of fields of related models that
# will be included via select_related() for the benefit
# of MySQL/MySQLdb when boolean fields are involved
# (#15040).
# This code duplicates the logic for the order of fields
# found in get_columns(). It would be nice to clean this up.
if self.query.select:
fields = [f.field for f in self.query.select]
else:
fields = self.query.get_meta().concrete_fields
fields = fields + [f.field for f in self.query.related_select_cols]
# If the field was deferred, exclude it from being passed
# into `resolve_columns` because it wasn't selected.
only_load = self.deferred_to_columns()
if only_load:
fields = [f for f in fields if f.model._meta.db_table not in only_load or
f.column in only_load[f.model._meta.db_table]]
if has_aggregate_select:
# pad None in to fields for aggregates
fields = fields[:aggregate_start] + [
None for x in range(0, aggregate_end - aggregate_start)
] + fields[aggregate_start:]
row = self.resolve_columns(row, fields)
if has_aggregate_select:
row = tuple(row[:aggregate_start]) + tuple([
self.query.resolve_aggregate(value, aggregate, self.connection)
for (alias, aggregate), value
in zip(self.query.aggregate_select.items(), row[aggregate_start:aggregate_end])
]) + tuple(row[aggregate_end:])
yield row
def execute_sql(self, result_type=MULTI):
"""
Run the query against the database and returns the result(s). The
return value is a single data item if result_type is SINGLE, or an
iterator over the results if the result_type is MULTI.
result_type is either MULTI (use fetchmany() to retrieve all rows),
SINGLE (only retrieve a single row), or None. In this last case, the
cursor is returned if any query is executed, since it's used by
subclasses such as InsertQuery). It's possible, however, that no query
is needed, as the filters describe an empty set. In that case, None is
returned, to avoid any unnecessary database interaction.
"""
try:
sql, params = self.as_sql()
if not sql:
raise EmptyResultSet
except EmptyResultSet:
if result_type == MULTI:
return iter([])
else:
return
cursor = self.connection.cursor()
cursor.execute(sql, params)
if not result_type:
return cursor
if result_type == SINGLE:
if self.ordering_aliases:
return cursor.fetchone()[:-len(self.ordering_aliases)]
return cursor.fetchone()
# The MULTI case.
if self.ordering_aliases:
result = order_modified_iter(cursor, len(self.ordering_aliases),
self.connection.features.empty_fetchmany_value)
else:
result = iter((lambda: cursor.fetchmany(GET_ITERATOR_CHUNK_SIZE)),
self.connection.features.empty_fetchmany_value)
if not self.connection.features.can_use_chunked_reads:
# If we are using non-chunked reads, we return the same data
# structure as normally, but ensure it is all read into memory
# before going any further.
return list(result)
return result
def as_subquery_condition(self, alias, columns, qn):
qn2 = self.connection.ops.quote_name
if len(columns) == 1:
sql, params = self.as_sql()
return '%s.%s IN (%s)' % (qn(alias), qn2(columns[0]), sql), params
for index, select_col in enumerate(self.query.select):
lhs = '%s.%s' % (qn(select_col.col[0]), qn2(select_col.col[1]))
rhs = '%s.%s' % (qn(alias), qn2(columns[index]))
self.query.where.add(
QueryWrapper('%s = %s' % (lhs, rhs), []), 'AND')
sql, params = self.as_sql()
return 'EXISTS (%s)' % sql, params
class SQLInsertCompiler(SQLCompiler):
def __init__(self, *args, **kwargs):
self.return_id = False
super(SQLInsertCompiler, self).__init__(*args, **kwargs)
def placeholder(self, field, val):
if field is None:
# A field value of None means the value is raw.
return val
elif hasattr(field, 'get_placeholder'):
# Some fields (e.g. geo fields) need special munging before
# they can be inserted.
return field.get_placeholder(val, self.connection)
else:
# Return the common case for the placeholder
return '%s'
def as_sql(self):
# We don't need quote_name_unless_alias() here, since these are all
# going to be column names (so we can avoid the extra overhead).
qn = self.connection.ops.quote_name
opts = self.query.get_meta()
result = ['INSERT INTO %s' % qn(opts.db_table)]
has_fields = bool(self.query.fields)
fields = self.query.fields if has_fields else [opts.pk]
result.append('(%s)' % ', '.join([qn(f.column) for f in fields]))
if has_fields:
params = values = [
[
f.get_db_prep_save(getattr(obj, f.attname) if self.query.raw else f.pre_save(obj, True), connection=self.connection)
for f in fields
]
for obj in self.query.objs
]
else:
values = [[self.connection.ops.pk_default_value()] for obj in self.query.objs]
params = [[]]
fields = [None]
can_bulk = (not any(hasattr(field, "get_placeholder") for field in fields) and
not self.return_id and self.connection.features.has_bulk_insert)
if can_bulk:
placeholders = [["%s"] * len(fields)]
else:
placeholders = [
[self.placeholder(field, v) for field, v in zip(fields, val)]
for val in values
]
# Oracle Spatial needs to remove some values due to #10888
params = self.connection.ops.modify_insert_params(placeholders, params)
if self.return_id and self.connection.features.can_return_id_from_insert:
params = params[0]
col = "%s.%s" % (qn(opts.db_table), qn(opts.pk.column))
result.append("VALUES (%s)" % ", ".join(placeholders[0]))
r_fmt, r_params = self.connection.ops.return_insert_id()
# Skip empty r_fmt to allow subclasses to customize behaviour for
# 3rd party backends. Refs #19096.
if r_fmt:
result.append(r_fmt % col)
params += r_params
return [(" ".join(result), tuple(params))]
if can_bulk:
result.append(self.connection.ops.bulk_insert_sql(fields, len(values)))
return [(" ".join(result), tuple([v for val in values for v in val]))]
else:
return [
(" ".join(result + ["VALUES (%s)" % ", ".join(p)]), vals)
for p, vals in zip(placeholders, params)
]
def execute_sql(self, return_id=False):
assert not (return_id and len(self.query.objs) != 1)
self.return_id = return_id
cursor = self.connection.cursor()
for sql, params in self.as_sql():
cursor.execute(sql, params)
if not (return_id and cursor):
return
if self.connection.features.can_return_id_from_insert:
return self.connection.ops.fetch_returned_insert_id(cursor)
return self.connection.ops.last_insert_id(cursor,
self.query.get_meta().db_table, self.query.get_meta().pk.column)
class SQLDeleteCompiler(SQLCompiler):
def as_sql(self):
"""
Creates the SQL for this query. Returns the SQL string and list of
parameters.
"""
assert len(self.query.tables) == 1, \
"Can only delete from one table at a time."
qn = self.quote_name_unless_alias
result = ['DELETE FROM %s' % qn(self.query.tables[0])]
where, params = self.query.where.as_sql(qn=qn, connection=self.connection)
if where:
result.append('WHERE %s' % where)
return ' '.join(result), tuple(params)
class SQLUpdateCompiler(SQLCompiler):
def as_sql(self):
"""
Creates the SQL for this query. Returns the SQL string and list of
parameters.
"""
self.pre_sql_setup()
if not self.query.values:
return '', ()
table = self.query.tables[0]
qn = self.quote_name_unless_alias
result = ['UPDATE %s' % qn(table)]
result.append('SET')
values, update_params = [], []
for field, model, val in self.query.values:
if hasattr(val, 'prepare_database_save'):
val = val.prepare_database_save(field)
else:
val = field.get_db_prep_save(val, connection=self.connection)
# Getting the placeholder for the field.
if hasattr(field, 'get_placeholder'):
placeholder = field.get_placeholder(val, self.connection)
else:
placeholder = '%s'
if hasattr(val, 'evaluate'):
val = SQLEvaluator(val, self.query, allow_joins=False)
name = field.column
if hasattr(val, 'as_sql'):
sql, params = val.as_sql(qn, self.connection)
values.append('%s = %s' % (qn(name), sql))
update_params.extend(params)
elif val is not None:
values.append('%s = %s' % (qn(name), placeholder))
update_params.append(val)
else:
values.append('%s = NULL' % qn(name))
if not values:
return '', ()
result.append(', '.join(values))
where, params = self.query.where.as_sql(qn=qn, connection=self.connection)
if where:
result.append('WHERE %s' % where)
return ' '.join(result), tuple(update_params + params)
def execute_sql(self, result_type):
"""
Execute the specified update. Returns the number of rows affected by
the primary update query. The "primary update query" is the first
non-empty query that is executed. Row counts for any subsequent,
related queries are not available.
"""
cursor = super(SQLUpdateCompiler, self).execute_sql(result_type)
rows = cursor.rowcount if cursor else 0
is_empty = cursor is None
del cursor
for query in self.query.get_related_updates():
aux_rows = query.get_compiler(self.using).execute_sql(result_type)
if is_empty:
rows = aux_rows
is_empty = False
return rows
def pre_sql_setup(self):
"""
If the update depends on results from other tables, we need to do some
munging of the "where" conditions to match the format required for
(portable) SQL updates. That is done here.
Further, if we are going to be running multiple updates, we pull out
the id values to update at this point so that they don't change as a
result of the progressive updates.
"""
self.query.select_related = False
self.query.clear_ordering(True)
super(SQLUpdateCompiler, self).pre_sql_setup()
count = self.query.count_active_tables()
if not self.query.related_updates and count == 1:
return
# We need to use a sub-select in the where clause to filter on things
# from other tables.
query = self.query.clone(klass=Query)
query.bump_prefix()
query.extra = {}
query.select = []
query.add_fields([query.get_meta().pk.name])
# Recheck the count - it is possible that fiddling with the select
# fields above removes tables from the query. Refs #18304.
count = query.count_active_tables()
if not self.query.related_updates and count == 1:
return
must_pre_select = count > 1 and not self.connection.features.update_can_self_select
# Now we adjust the current query: reset the where clause and get rid
# of all the tables we don't need (since they're in the sub-select).
self.query.where = self.query.where_class()
if self.query.related_updates or must_pre_select:
# Either we're using the idents in multiple update queries (so
# don't want them to change), or the db backend doesn't support
# selecting from the updating table (e.g. MySQL).
idents = []
for rows in query.get_compiler(self.using).execute_sql(MULTI):
idents.extend([r[0] for r in rows])
self.query.add_filter(('pk__in', idents))
self.query.related_ids = idents
else:
# The fast path. Filters and updates in one query.
self.query.add_filter(('pk__in', query))
for alias in self.query.tables[1:]:
self.query.alias_refcount[alias] = 0
class SQLAggregateCompiler(SQLCompiler):
def as_sql(self, qn=None):
"""
Creates the SQL for this query. Returns the SQL string and list of
parameters.
"""
if qn is None:
qn = self.quote_name_unless_alias
sql, params = [], []
for aggregate in self.query.aggregate_select.values():
agg_sql, agg_params = aggregate.as_sql(qn, self.connection)
sql.append(agg_sql)
params.extend(agg_params)
sql = ', '.join(sql)
params = tuple(params)
sql = 'SELECT %s FROM (%s) subquery' % (sql, self.query.subquery)
params = params + self.query.sub_params
return sql, params
class SQLDateCompiler(SQLCompiler):
def results_iter(self):
"""
Returns an iterator over the results from executing this query.
"""
resolve_columns = hasattr(self, 'resolve_columns')
if resolve_columns:
from django.db.models.fields import DateField
fields = [DateField()]
else:
from django.db.backends.util import typecast_date
needs_string_cast = self.connection.features.needs_datetime_string_cast
offset = len(self.query.extra_select)
for rows in self.execute_sql(MULTI):
for row in rows:
date = row[offset]
if resolve_columns:
date = self.resolve_columns(row, fields)[offset]
elif needs_string_cast:
date = typecast_date(str(date))
if isinstance(date, datetime.datetime):
date = date.date()
yield date
class SQLDateTimeCompiler(SQLCompiler):
def results_iter(self):
"""
Returns an iterator over the results from executing this query.
"""
resolve_columns = hasattr(self, 'resolve_columns')
if resolve_columns:
from django.db.models.fields import DateTimeField
fields = [DateTimeField()]
else:
from django.db.backends.util import typecast_timestamp
needs_string_cast = self.connection.features.needs_datetime_string_cast
offset = len(self.query.extra_select)
for rows in self.execute_sql(MULTI):
for row in rows:
datetime = row[offset]
if resolve_columns:
datetime = self.resolve_columns(row, fields)[offset]
elif needs_string_cast:
datetime = typecast_timestamp(str(datetime))
# Datetimes are artifically returned in UTC on databases that
# don't support time zone. Restore the zone used in the query.
if settings.USE_TZ:
if datetime is None:
raise ValueError("Database returned an invalid value "
"in QuerySet.dates(). Are time zone "
"definitions and pytz installed?")
datetime = datetime.replace(tzinfo=None)
datetime = timezone.make_aware(datetime, self.query.tzinfo)
yield datetime
def order_modified_iter(cursor, trim, sentinel):
"""
Yields blocks of rows from a cursor. We use this iterator in the special
case when extra output columns have been added to support ordering
requirements. We must trim those extra columns before anything else can use
the results, since they're only needed to make the SQL valid.
"""
for rows in iter((lambda: cursor.fetchmany(GET_ITERATOR_CHUNK_SIZE)),
sentinel):
yield [r[:-trim] for r in rows]
| [
"[email protected]"
]
| |
73ea9b5b72d472a84e080415378c392f17ac413d | 34c84dc28ca8c62594ba74facc6cef4eacb2aad9 | /examples/liquid-argon/utils.py | 672f312f191d433c0811262db1d2a9b8692c8079 | []
| no_license | choderalab/automatic-equilibration-detection | f4102407db312402b30dceb1cee0ea0e698e46b1 | 9b5f096cd8e309bc1158f9eed5d8fd41f78312cc | refs/heads/master | 2021-01-17T15:15:38.786759 | 2016-12-24T06:12:32 | 2016-12-24T06:12:32 | 19,412,535 | 15 | 9 | null | 2016-12-24T06:12:33 | 2014-05-03T21:28:09 | TeX | UTF-8 | Python | false | false | 4,937 | py | #!/usr/bin/env python
"""
Run a simulation of liquid argon at constant pressure.
"""
import os, os.path, copy
import netCDF4
from simtk import openmm, unit
from simtk.openmm import app
from openmmtools import testsystems, integrators
def minimize(system, positions):
"""
Minimize the specified testsystem.
Parameters
----------
system : simtk.openmm.System
The system to minimize
positions : simtk.unit.Quantity of size (nparticles,3) with units compatible with angstroms
The initial positions to be minimized.
Returns
-------
minimized_positions : simtk.unit.Quantity of size (nparticles,3) with units compatible with angstroms
Minimized positions.
"""
integrator = openmm.VerletIntegrator(1.0 * unit.femtosecond)
context = openmm.Context(system, integrator)
context.setPositions(positions)
openmm.LocalEnergyMinimizer.minimize(context)
final_positions = context.getState(getPositions=True).getPositions(asNumpy=True)
del context, integrator
return final_positions
def write_pdb(filename, positions):
"""
Write PDB file for argon particles.
Parameters
----------
filename : str
Filename to write PDB file to.
positions : simtk.unit.Quantity of size (nparticles,3) with units compatible with angstroms
Positions to write.
"""
nparticles = positions.shape[0]
outfile = open(filename, 'w')
for particle in range(nparticles):
outfile.write("ATOM %5d AR AR 1 %8.3f%8.3f%8.3f\n" % (particle, positions[particle,0]/unit.angstrom, positions[particle,1]/unit.angstrom, positions[particle,2]/unit.angstrom))
outfile.close()
return
def create_netcdf_datastore(filename, system, positions, nreplicates, niterations, observation_interval):
"""
Create (or resume from) NetCDF data storage file.
Parameters
----------
filename : str
Filename of NetCDF file.
system : simtk.openmm.System
The system to minimize
positions : simtk.unit.Quantity of size (nparticles,3) with units compatible with angstroms
The initial positions used for all simulations
nreplicates : int
The number of simulation replicates to be performed
niterations : int
The number of simulation iterations to be performed.
obervation_interval : simtk.unit.Quantity with units compatible with ps
Observation interval between frames.
Returns
-------
ncfile : netCDF4.Dataset
"""
if os.path.exists(filename):
raise Exception("Datafile '%s' already exists." % filename)
# Create a new file.
ncfile = netCDF4.Dataset(filename, 'w', version='NETCDF4')
# Determine some extra dimensions
nparticles = positions.shape[0]
# Initialize NetCDF file.
ncfile.createDimension('replicate', 0) # unlimited number of replicates
ncfile.createDimension('iteration', 0) # unlimited number of iterations
ncfile.createDimension('atom', nparticles) # number of atoms in system
ncfile.createDimension('spatial', 3) # number of spatial dimensions
ncfile.createDimension('singleton', 1)
# Set global attributes.
import time
setattr(ncfile, 'title', 'liquid argon simulation density data')
setattr(ncfile, 'CreationDate', time.ctime())
# Store global data.
ncvar = ncfile.createVariable('observation_interval', 'f4')
ncvar.assignValue(observation_interval / unit.picoseconds)
setattr(ncvar, 'units', 'ps')
# Store initial positions.
ncvar_positions = ncfile.createVariable('initial_positions', 'f4', ('atom','spatial'), zlib=True, chunksizes=(nparticles,3))
setattr(ncvar_positions, 'units', 'nm')
setattr(ncvar_positions, "long_name", "initial_positions[atom][spatial] is initial position of coordinate 'spatial' of atom 'atom' used for all simulations.")
x = positions / unit.nanometers
ncfile.variables['initial_positions'][:,:] = x[:,:]
# Store system.
ncvar_system = ncfile.createVariable('system', str, ('singleton',), zlib=True)
setattr(ncvar_system, 'long_name', "system is the serialized OpenMM System used for all simulations")
ncvar_system[0] = system.__getstate__()
# Create storage for simulation data.
ncvar_densities = ncfile.createVariable('reduced_density', 'f4', ('replicate','iteration'), zlib=True, chunksizes=(nreplicates,1))
setattr(ncvar_densities, "long_name", "reduced_density[replicate][iteration] is the density (in reduced, dimensionless units) of iteration 'iteration' of replicate 'replicate'")
ncvar_potential = ncfile.createVariable('reduced_potential', 'f4', ('replicate','iteration'), zlib=True, chunksizes=(1,niterations+1))
setattr(ncvar_potential, "long_name", "reduced_potential[replicate][iteration] is the density (in kT) of iteration 'iteration' of replicate 'replicate'")
ncfile.sync()
return ncfile
| [
"[email protected]"
]
| |
d614fc69982e90bef74703c3499141f522d4c0e0 | 3c619a14c087f889e007c5b7e9415037d4c63992 | /tensorflow/contrib/distribute/python/collective_all_reduce_strategy_test.py | bba0bce9f2e2c4b231c9dc4a2705c476ab091d50 | [
"Apache-2.0"
]
| permissive | WangLing20150722/tensorflow | 896b49796b6a4b658c89877704e5fcd86076892e | f1f1336aef572eb2073c9a488f8408b6404a700b | refs/heads/master | 2020-04-20T04:26:36.320082 | 2019-02-01T02:01:25 | 2019-02-01T02:01:34 | 168,627,573 | 1 | 0 | Apache-2.0 | 2019-02-01T02:05:23 | 2019-02-01T02:05:22 | null | UTF-8 | Python | false | false | 20,537 | py | # Copyright 2018 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.
# ==============================================================================
"""Tests for CollectiveAllReduceStrategy."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
import numpy as np
from tensorflow.contrib.distribute.python import collective_all_reduce_strategy
from tensorflow.contrib.distribute.python import combinations
from tensorflow.contrib.distribute.python import multi_worker_test_base
from tensorflow.contrib.distribute.python import strategy_test_lib
from tensorflow.core.protobuf import config_pb2
from tensorflow.core.protobuf import rewriter_config_pb2
from tensorflow.python import keras
from tensorflow.python.data.ops import dataset_ops
from tensorflow.python.distribute import cross_device_utils
from tensorflow.python.distribute import reduce_util
from tensorflow.python.distribute import values
from tensorflow.python.eager import context
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import ops
from tensorflow.python.layers import core
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gradients
from tensorflow.python.ops import init_ops
from tensorflow.python.ops import nn
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import variable_scope
from tensorflow.python.ops import variables
from tensorflow.python.ops.losses import losses
from tensorflow.python.platform import test
from tensorflow.python.training import adam
from tensorflow.python.training import training_util
class CollectiveAllReduceStrategyTestBase(
multi_worker_test_base.MultiWorkerTestBase):
collective_key_base = 0
def setUp(self):
# We use a different key_base for each test so that collective keys won't be
# reused.
# TODO(yuefengz, tucker): enable it to reuse collective keys in different
# tests.
CollectiveAllReduceStrategyTestBase.collective_key_base += 100000
super(CollectiveAllReduceStrategyTestBase, self).setUp()
def _get_test_object(self, task_type, task_id, num_gpus=0):
distribution = collective_all_reduce_strategy.CollectiveAllReduceStrategy(
num_gpus_per_worker=num_gpus)
session_config = config_pb2.ConfigProto()
if task_type and task_id is not None:
distribution.configure(
session_config=session_config,
cluster_spec=self._cluster_spec,
task_type=task_type,
task_id=task_id)
collective_keys = cross_device_utils.CollectiveKeys(
group_key_start=10 * num_gpus +
CollectiveAllReduceStrategyTestBase.collective_key_base,
instance_key_start=num_gpus * 100 +
CollectiveAllReduceStrategyTestBase.collective_key_base,
instance_key_with_id_start=num_gpus * 10000 +
CollectiveAllReduceStrategyTestBase.collective_key_base)
distribution.extended._collective_keys = collective_keys
distribution.extended._cross_device_ops._collective_keys = (
collective_keys)
if task_type and task_id is not None:
return distribution, 'grpc://' + self._cluster_spec[task_type][
task_id], session_config
else:
return distribution, '', session_config
def _test_minimize_loss_graph(self, task_type, task_id, num_gpus):
d, master_target, config = self._get_test_object(task_type, task_id,
num_gpus)
with ops.Graph().as_default(), \
self.cached_session(config=config,
target=master_target) as sess, \
d.scope():
l = core.Dense(1, use_bias=False,
name='gpu_%d' % d.extended._num_gpus_per_worker)
def loss_fn(x):
y = array_ops.reshape(l(x), []) - constant_op.constant(1.)
return y * y
# TODO(yuefengz, apassos): eager.backprop.implicit_grad is not safe for
# multiple graphs (b/111216820).
def grad_fn(x):
loss = loss_fn(x)
var_list = (
variables.trainable_variables() + ops.get_collection(
ops.GraphKeys.TRAINABLE_RESOURCE_VARIABLES))
grads = gradients.gradients(loss, var_list)
ret = list(zip(grads, var_list))
return ret
def update(v, g):
return v.assign_sub(0.05 * g, use_locking=True)
one = d.broadcast(constant_op.constant([[1.]]))
def step():
"""Perform one optimization step."""
# Run forward & backward to get gradients, variables list.
g_v = d.extended.call_for_each_replica(grad_fn, args=[one])
# Update the variables using the gradients and the update() function.
before_list = []
after_list = []
for g, v in g_v:
fetched = d.extended.read_var(v)
before_list.append(fetched)
with ops.control_dependencies([fetched]):
# TODO(yuefengz): support non-Mirrored variable as destinations.
g = d.extended.reduce_to(
reduce_util.ReduceOp.SUM, g, destinations=v)
with ops.control_dependencies(
d.extended.update(v, update, args=(g,), group=False)):
after_list.append(d.extended.read_var(v))
return before_list, after_list
before_out, after_out = step()
if context.num_gpus() < d.extended._num_gpus_per_worker:
return True
sess.run(variables.global_variables_initializer())
for i in range(10):
b, a = sess.run((before_out, after_out))
if i == 0:
before, = b
after, = a
error_before = abs(before - 1)
error_after = abs(after - 1)
# Error should go down
self.assertLess(error_after, error_before)
return error_after < error_before
def _test_complex_model(self, task_type, task_id, num_gpus):
d, master_target, config = self._get_test_object(task_type, task_id,
num_gpus)
def model_fn():
"""Mnist model with synthetic input."""
data_format = 'channels_last'
input_shape = [28, 28, 1]
l = keras.layers
max_pool = l.MaxPooling2D((2, 2), (2, 2),
padding='same',
data_format=data_format)
model = keras.Sequential([
l.Reshape(target_shape=input_shape, input_shape=(28 * 28,)),
l.Conv2D(
32,
5,
padding='same',
data_format=data_format,
activation=nn.relu), max_pool,
l.Conv2D(
64,
5,
padding='same',
data_format=data_format,
activation=nn.relu), max_pool,
l.Flatten(),
l.Dense(1024, activation=nn.relu),
l.Dropout(0.4),
l.Dense(10)
])
image = random_ops.random_uniform([2, 28, 28])
label = random_ops.random_uniform([2, 1], maxval=10, dtype=dtypes.int32)
logits = model(image, training=True)
# TODO(yuefengz): make loss a callable for eager mode.
loss = losses.sparse_softmax_cross_entropy(labels=label, logits=logits)
optimizer = adam.AdamOptimizer(learning_rate=1e-4)
train_op = optimizer.minimize(loss,
training_util.get_or_create_global_step())
return train_op
with ops.Graph().as_default(), \
self.cached_session(config=config,
target=master_target) as sess:
with d.scope():
train_op = d.extended.call_for_each_replica(model_fn)
train_op = d.group(d.unwrap(train_op))
sess.run(variables.global_variables_initializer())
sess.run(train_op)
return True
def _test_variable_initialization(self, task_type, task_id, num_gpus):
distribution, master_target, config = self._get_test_object(
task_type, task_id, num_gpus)
with ops.Graph().as_default(), \
self.cached_session(config=config,
target=master_target) as sess, \
distribution.scope():
def model_fn():
x = variable_scope.get_variable(
'x',
shape=(2, 3),
initializer=init_ops.random_uniform_initializer(
1.0, 10.0, dtype=dtypes.float32))
return array_ops.identity(x)
x = distribution.extended.call_for_each_replica(model_fn)
reduced_x = distribution.reduce(reduce_util.ReduceOp.MEAN, x)
x = distribution.unwrap(x)[0]
sess.run(variables.global_variables_initializer())
x_value, reduced_x_value = sess.run([x, reduced_x])
self.assertTrue(
np.allclose(x_value, reduced_x_value, atol=1e-5),
msg=('x_value = %r, reduced_x_value = %r' % (x_value,
reduced_x_value)))
return np.allclose(x_value, reduced_x_value, atol=1e-5)
def _test_input_fn_iterator(self, task_type, task_id, num_gpus, input_fn,
expected_values, test_reinitialize=True):
distribution, master_target, config = self._get_test_object(
task_type, task_id, num_gpus)
devices = distribution.extended.worker_devices
with ops.Graph().as_default(), \
self.cached_session(config=config,
target=master_target) as sess:
iterator = distribution.make_input_fn_iterator(input_fn)
sess.run(iterator.initialize())
for expected_value in expected_values:
next_element = iterator.get_next()
computed_value = sess.run([values.select_replica(r, next_element)
for r in range(len(devices))])
self.assertEqual(expected_value, computed_value)
with self.assertRaises(errors.OutOfRangeError):
next_element = iterator.get_next()
sess.run([values.select_replica(r, next_element)
for r in range(len(devices))])
# After re-initializing the iterator, should be able to iterate again.
if test_reinitialize:
sess.run(iterator.initialize())
for expected_value in expected_values:
next_element = iterator.get_next()
computed_value = sess.run([values.select_replica(r, next_element)
for r in range(len(devices))])
self.assertEqual(expected_value, computed_value)
class DistributedCollectiveAllReduceStrategyTest(
CollectiveAllReduceStrategyTestBase,
strategy_test_lib.DistributionTestBase,
parameterized.TestCase):
@classmethod
def setUpClass(cls):
"""Create a local cluster with 3 workers."""
cls._cluster_spec = multi_worker_test_base.create_in_process_cluster(
num_workers=3, num_ps=0)
def test_num_replicas_in_sync(self):
distribution = collective_all_reduce_strategy.CollectiveAllReduceStrategy(
num_gpus_per_worker=2)
distribution.configure(cluster_spec=self._cluster_spec, task_type='worker',
task_id=0)
num_workers = len(self._cluster_spec.get('chief', []) +
self._cluster_spec.get('worker', []))
self.assertEqual(2 * num_workers,
distribution.num_replicas_in_sync)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testMinimizeLossGraph(self, num_gpus):
self._run_between_graph_clients(self._test_minimize_loss_graph,
self._cluster_spec, num_gpus)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testVariableInitialization(self, num_gpus):
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
self._run_between_graph_clients(
self._test_variable_initialization,
self._cluster_spec,
num_gpus=num_gpus)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testComplexModel(self, num_gpus):
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
self._run_between_graph_clients(
self._test_complex_model, self._cluster_spec, num_gpus=num_gpus)
# TODO(yuefengz): Update how we use num_gpus and required_gpus
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1,
use_dataset=[True, False]))
def testMakeInputFnIterator(self, num_gpus, use_dataset):
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
if use_dataset:
fn = lambda: dataset_ops.Dataset.range(100)
else:
def fn():
dataset = dataset_ops.Dataset.range(100)
it = dataset.make_one_shot_iterator()
return it.get_next
# We use CPU as the device when num_gpus = 0
devices_per_worker = max(1, num_gpus)
expected_values = [[i+j for j in range(devices_per_worker)]
for i in range(0, 100, devices_per_worker)]
input_fn = self._input_fn_to_test_input_context(
fn,
expected_num_replicas_in_sync=3*devices_per_worker,
expected_num_input_pipelines=3,
expected_input_pipeline_id=1) # because task_id = 1
self._test_input_fn_iterator('worker', 1, num_gpus,
input_fn, expected_values,
test_reinitialize=use_dataset)
def testUpdateConfigProto(self):
distribution = collective_all_reduce_strategy.CollectiveAllReduceStrategy(
num_gpus_per_worker=2)
distribution.configure(
cluster_spec=self._cluster_spec, task_type='worker', task_id=1)
config_proto = config_pb2.ConfigProto(device_filters=['to_be_overridden'])
rewrite_options = config_proto.graph_options.rewrite_options
rewrite_options.scoped_allocator_opts.enable_op.append('to_be_removed')
new_config = distribution.update_config_proto(config_proto)
# Verify group leader
self.assertEqual('/job:worker/replica:0/task:0',
new_config.experimental.collective_group_leader)
# Verify device filters.
self.assertEqual(['/job:worker/task:1'], new_config.device_filters)
# Verify rewrite options.
new_rewrite_options = new_config.graph_options.rewrite_options
self.assertEqual(rewriter_config_pb2.RewriterConfig.ON,
new_rewrite_options.scoped_allocator_optimization)
self.assertEqual(['CollectiveReduce'],
new_rewrite_options.scoped_allocator_opts.enable_op)
class DistributedCollectiveAllReduceStrategyTestWithChief(
CollectiveAllReduceStrategyTestBase, parameterized.TestCase):
@classmethod
def setUpClass(cls):
"""Create a local cluster with 3 workers and 1 chief."""
cls._cluster_spec = multi_worker_test_base.create_in_process_cluster(
num_workers=3, num_ps=0, has_chief=True)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testMinimizeLossGraph(self, num_gpus):
self._run_between_graph_clients(self._test_minimize_loss_graph,
self._cluster_spec, num_gpus)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testVariableInitialization(self, num_gpus):
if context.num_gpus() < num_gpus:
return
self._run_between_graph_clients(
self._test_variable_initialization,
self._cluster_spec,
num_gpus=num_gpus)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[0, 1, 2], required_gpus=1))
def testComplexModel(self, num_gpus):
if context.num_gpus() < num_gpus:
return
self._run_between_graph_clients(
self._test_complex_model, self._cluster_spec, num_gpus=num_gpus)
class LocalCollectiveAllReduceStrategy(
CollectiveAllReduceStrategyTestBase,
strategy_test_lib.DistributionTestBase,
strategy_test_lib.TwoDeviceDistributionTestBase,
parameterized.TestCase):
@combinations.generate(
combinations.combine(
mode=['graph', 'eager'], num_gpus=[2, 4], required_gpus=2))
def testMinimizeLoss(self, num_gpus):
# Collective ops doesn't support strategy with one device.
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
if context.executing_eagerly():
strategy, _, _ = self._get_test_object(None, None, num_gpus)
self._test_minimize_loss_eager(strategy)
else:
self._test_minimize_loss_graph(None, None, num_gpus)
@combinations.generate(
combinations.combine(mode=['graph'], num_gpus=[2, 4], required_gpus=2))
def testComplexModel(self, num_gpus):
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
self._test_complex_model(None, None, num_gpus)
@combinations.generate(
combinations.combine(mode=['graph', 'eager'], required_gpus=2,
use_dataset=[True, False]))
def testMakeInputFnIterator(self, use_dataset):
num_gpus = 2
if use_dataset:
fn = lambda: dataset_ops.Dataset.range(5 * num_gpus)
else:
def fn():
dataset = dataset_ops.Dataset.range(5 * num_gpus)
it = dataset.make_one_shot_iterator()
return it.get_next
expected_values = [range(i, i + num_gpus) for i in range(0, 10, num_gpus)]
input_fn = self._input_fn_to_test_input_context(
fn,
expected_num_replicas_in_sync=num_gpus,
expected_num_input_pipelines=1,
expected_input_pipeline_id=0)
self._test_input_fn_iterator(None, None, num_gpus,
input_fn, expected_values,
test_reinitialize=use_dataset)
def testAllReduceSum(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_sum(distribution)
def testAllReduceSumGradients(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_sum_gradients(distribution)
def testAllReduceSumGradientTape(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_sum_gradient_tape(distribution)
def testAllReduceMean(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_mean(distribution)
def testAllReduceMeanGradients(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_mean_gradients(distribution)
def testAllReduceMeanGradientTape(self):
if context.num_gpus() < 2: self.skipTest('Not enough GPUs')
distribution, target, config = self._get_test_object(None, None, num_gpus=2)
with self.cached_session(config=config, target=target):
self._test_all_reduce_mean_gradient_tape(distribution)
def testNumpyIterator(self):
num_gpus = 2
if context.num_gpus() < num_gpus:
self.skipTest('Not enough GPUs')
strategy, _, _ = self._get_test_object(None, None, num_gpus)
self._test_numpy_iterator(strategy)
if __name__ == '__main__':
test.main()
| [
"[email protected]"
]
| |
06b73b205e1b8bcfe3abcb46015a46db42931544 | 74cf86509c669799a3a7ed4b7982d59dde695230 | /pilot_paper_code/plotting_code/plotVel_vs_b.py | a97e15c7083695a8923df0db809d5dd2efab34ad | []
| no_license | frenchd24/pilot_paper | e77103ec4873758474f9020c76a8dad86fc6519c | a8d9191f9e435e02a8f6acfbd85ede32bdfd405d | refs/heads/master | 2020-05-20T06:54:13.266061 | 2019-05-07T17:08:42 | 2019-05-07T17:08:42 | 185,438,946 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,499 | py | #!/usr/bin/env python
'''
By David French ([email protected])
$Id: plotVel_vs_b.py, v 1.1 04/21/2016
Plot the velocity and velocity difference as a function of dopplar b-parameter
- (03/02/2016)
v1.1: remake plots with v_hel instead of vcorr (4/21/16)
'''
import sys
import os
import csv
from pylab import *
# import atpy
from math import *
from utilities import *
import getpass
import pickle
# from astropy.io.votable import parse,tree
# from vo.table import parse
# import vo.tree
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import NullFormatter
from matplotlib import rc
# rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
# ## for Palatino and other serif fonts use:
# #rc('font',**{'family':'serif','serif':['Palatino']})
# rc('text', usetex=True)
###########################################################################
def main():
# assuming 'theFile' contains one name per line, read the file
if getpass.getuser() == 'David':
pickleFilename = '/Users/David/Research_Documents/inclination/git_inclination/pilot_paper_code/pilotData2.p'
# resultsFilename = '/Users/David/Research_Documents/inclination/git_inclination/LG_correlation_combined5_8_edit2.csv'
# saveDirectory = '/Users/David/Research_Documents/inclination/git_inclination/pilot_paper_code/plots2/'
resultsFilename = '/Users/David/Research_Documents/inclination/git_inclination/LG_correlation_combined5_9_edit2.csv'
saveDirectory = '/Users/David/Research_Documents/inclination/git_inclination/pilot_paper_code/plots3/'
elif getpass.getuser() == 'frenchd':
pickleFilename = '/usr/users/frenchd/inclination/git_inclination/pilot_paper_code/pilotData2.p'
# resultsFilename = '/usr/users/frenchd/inclination/git_inclination/LG_correlation_combined5_8_edit2.csv'
# saveDirectory = '/usr/users/frenchd/inclination/git_inclination/pilot_paper_code/plots2/'
resultsFilename = '/usr/users/frenchd/inclination/git_inclination/LG_correlation_combined5_9_edit2.csv'
saveDirectory = '/usr/users/frenchd/inclination/git_inclination/pilot_paper_code/plots3/'
else:
print 'Could not determine username. Exiting.'
sys.exit()
# use the old pickle file to get the full galaxy dataset info
pickleFile = open(pickleFilename,'rU')
fullDict = pickle.load(pickleFile)
pickleFile.close()
# save each plot?
save = False
results = open(resultsFilename,'rU')
reader = csv.DictReader(results)
virInclude = False
cusInclude = False
finalInclude = True
# if match, then the includes in the file have to MATCH the includes above. e.g., if
# virInclude = False, cusInclude = True, finalInclude = False, then only systems
# matching those three would be included. Otherwise, all cusInclude = True would be included
# regardless of the others
match = False
# all the lists to be used for associated lines
lyaVList = []
lyaWList = []
lyaErrList = []
naList = []
bList = []
impactList = []
azList = []
incList = []
fancyIncList = []
cosIncList = []
cosFancyIncList = []
paList = []
vcorrList = []
majList = []
difList = []
envList = []
morphList = []
m15List = []
virList = []
likeList = []
likem15List = []
# for ambiguous lines
lyaVAmbList = []
lyaWAmbList = []
envAmbList = []
for l in reader:
include_vir = eval(l['include_vir'])
include_cus = eval(l['include_custom'])
include = eval(l['include'])
go = False
if match:
if virInclude == include_vir and cusInclude == include_cus:
go = True
else:
go = False
else:
if virInclude and include_vir:
go = True
elif cusInclude and include_cus:
go = True
elif finalInclude and include:
go = True
else:
go = False
if go:
AGNra_dec = eval(l['degreesJ2000RA_DecAGN'])
galaxyRA_Dec = eval(l['degreesJ2000RA_DecGalaxy'])
lyaV = l['Lya_v']
lyaW = l['Lya_W'].partition('pm')[0]
lyaW_err = l['Lya_W'].partition('pm')[2]
env = l['environment']
galaxyName = l['galaxyName']
impact = l['impactParameter (kpc)']
galaxyDist = l['distGalaxy (Mpc)']
pa = l['positionAngle (deg)']
RC3pa = l['RC3pa (deg)']
morph = l['morphology']
vcorr = l['vcorrGalaxy (km/s)']
maj = l['majorAxis (kpc)']
minor = l['minorAxis (kpc)']
inc = l['inclination (deg)']
az = l['azimuth (deg)']
b = l['b'].partition('pm')[0]
b_err = l['b'].partition('pm')[2]
na = eval(l['Na'].partition(' pm ')[0])
# print "l['Na'].partition(' pm ')[2] : ",l['Na'].partition(' pm ')
na_err = eval(l['Na'].partition(' pm ')[2])
likelihood = l['likelihood']
likelihoodm15 = l['likelihood_1.5']
virialRadius = l['virialRadius']
m15 = l['d^1.5']
vel_diff = l['vel_diff']
if isNumber(inc):
cosInc = cos(float(inc) * pi/180.)
if isNumber(maj) and isNumber(minor):
q0 = 0.2
fancyInc = calculateFancyInclination(maj,minor,q0)
cosFancyInc = cos(fancyInc * pi/180)
else:
fancyInc = -99
cosFancyInc = -99
else:
cosInc = -99
inc = -99
fancyInc = -99
cosFancyInc = -99
if isNumber(pa):
pa = float(pa)
elif isNumber(RC3pa):
pa = float(RC3pa)
else:
pa = -99
if isNumber(az):
az = float(az)
else:
az = -99
if isNumber(maj):
maj = float(maj)
virialRadius = float(virialRadius)
else:
maj = -99
virialRadius = -99
if isNumber(b):
b = float(b)
else:
b = -99
# all the lists to be used for associated lines
lyaVList.append(float(lyaV))
lyaWList.append(float(lyaW))
lyaErrList.append(float(lyaW_err))
naList.append(na)
bList.append(float(b))
impactList.append(float(impact))
azList.append(az)
incList.append(float(inc))
fancyIncList.append(fancyInc)
cosIncList.append(cosInc)
cosFancyIncList.append(cosFancyInc)
paList.append(pa)
vcorrList.append(vcorr)
majList.append(maj)
difList.append(float(vel_diff))
envList.append(float(env))
morphList.append(morph)
m15List.append(m15)
virList.append(virialRadius)
likeList.append(likelihood)
likem15List.append(likelihoodm15)
else:
lyaV = l['Lya_v']
lyaW = l['Lya_W'].partition('pm')[0]
lyaW_err = l['Lya_W'].partition('pm')[2]
env = l['environment']
lyaVAmbList.append(float(lyaV))
lyaWAmbList.append(float(lyaW))
envAmbList.append(float(env))
results.close()
# lists for the full galaxy dataset
allPA = fullDict['allPA']
allInclinations = fullDict['allInclinations']
allCosInclinations = fullDict['allCosInclinations']
allFancyInclinations = fullDict['allFancyInclinations']
allCosFancyInclinations = fullDict['allCosFancyInclinations']
total = 0
totalNo = 0
totalYes = 0
totalIsolated = 0
totalGroup = 0
########################################################################################
########################################################################################
# plot velocity difference as a function of dopplar b-parameter
#
plotVeldif_vs_b = True
save = False
if plotVeldif_vs_b:
fig = figure()
ax = fig.add_subplot(111)
countb = 0
countr = 0
count = -1
labelr = 'Redshifted Absorber'
labelb = "Blueshifted Absorber"
for d,b,w,v in zip(difList,bList,lyaWList,virList):
# check if all the values are okay
if isNumber(d) and isNumber(b) and isNumber(w) and isNumber(v):
if d!=-99 and b!=-99 and w!=-99 and v!=-99:
if d>0:
# galaxy is behind absorber, so gas is blue shifted
color = 'Blue'
if countb == 0:
countb +=1
plotb = ax.scatter(b,d,c='Blue',s=50,label= labelb)
if d<0:
# gas is red shifted compared to galaxy
color = 'Red'
if countr == 0:
countr +=1
plotr = ax.scatter(b,abs(d),c='Red',s=50,label= labelr)
plot1 = scatter(b,abs(d),c=color,s=50)
xlabel(r'$b$ [km/s]')
ylabel(r'$\rm \Delta v (km/s)$')
legend(scatterpoints=1)
ax.grid(b=None,which='major',axis='both')
ylim(0,400)
# xlim(0,max(virList)+10)
# ylim(0,max(lyaWList)+50)
# xlim(0,10)
if save:
savefig('{0}/vel_dif(b).pdf'.format(saveDirectory),format='pdf')
else:
show()
########################################################################################
########################################################################################
# plot dopplar b-parameter as a function of Lyalpha absorption velocity
#
plotVel_vs_b = False
save = False
if plotVel_vs_b:
fig = figure()
ax = fig.add_subplot(111)
countb = 0
countr = 0
count = -1
labelr = 'Redshifted Absorber'
labelb = "Blueshifted Absorber"
# give some stats:
print 'bList: ',bList
for d,v,b,vir in zip(difList,lyaVList,bList,virList):
# check if all the values are okay
if isNumber(d) and isNumber(v) and isNumber(b) and isNumber(vir):
if d!=-99 and v!=-99 and b!=-99 and vir!=-99:
if d>0:
# galaxy is behind absorber, so gas is blue shifted
color = 'Blue'
if countb == 0:
countb +=1
plotb = ax.scatter(v,b,c='Blue',s=50,label= labelb)
if d<0:
# gas is red shifted compared to galaxy
color = 'Red'
if countr == 0:
countr +=1
plotr = ax.scatter(v,b,c='Red',s=50,label= labelr)
plot1 = scatter(v,b,c=color,s=50)
xlabel(r'$\rm v_{Ly\alpha} (km/s)$')
ylabel(r'$b$ [km/s]')
legend(scatterpoints=1)
ax.grid(b=None,which='major',axis='both')
# ylim(0,400)
# xlim(0,max(envList)+1)
if save:
savefig('{0}/b_(vel).pdf'.format(saveDirectory),format='pdf')
else:
show()
##########################################################################################
##########################################################################################
##########################################################################################
##########################################################################################
if __name__=="__main__":
# do the work
main()
| [
"[email protected]"
]
| |
e0b9a8251d2bf82dc6d619fb9b85385bc66f859b | fbbe424559f64e9a94116a07eaaa555a01b0a7bb | /Shapely_numpy/source/numpy/ma/tests/test_subclassing.py | 8198c9d3593680cf24b925019336e88936468742 | [
"MIT"
]
| permissive | ryfeus/lambda-packs | 6544adb4dec19b8e71d75c24d8ed789b785b0369 | cabf6e4f1970dc14302f87414f170de19944bac2 | refs/heads/master | 2022-12-07T16:18:52.475504 | 2022-11-29T13:35:35 | 2022-11-29T13:35:35 | 71,386,735 | 1,283 | 263 | MIT | 2022-11-26T05:02:14 | 2016-10-19T18:22:39 | Python | UTF-8 | Python | false | false | 13,251 | py | # pylint: disable-msg=W0611, W0612, W0511,R0201
"""Tests suite for MaskedArray & subclassing.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
:version: $Id: test_subclassing.py 3473 2007-10-29 15:18:13Z jarrod.millman $
"""
from __future__ import division, absolute_import, print_function
import numpy as np
from numpy.testing import TestCase, run_module_suite, assert_raises
from numpy.ma.testutils import assert_equal
from numpy.ma.core import (
array, arange, masked, MaskedArray, masked_array, log, add, hypot,
divide, asarray, asanyarray, nomask
)
# from numpy.ma.core import (
class SubArray(np.ndarray):
# Defines a generic np.ndarray subclass, that stores some metadata
# in the dictionary `info`.
def __new__(cls,arr,info={}):
x = np.asanyarray(arr).view(cls)
x.info = info.copy()
return x
def __array_finalize__(self, obj):
if callable(getattr(super(SubArray, self),
'__array_finalize__', None)):
super(SubArray, self).__array_finalize__(obj)
self.info = getattr(obj, 'info', {}).copy()
return
def __add__(self, other):
result = super(SubArray, self).__add__(other)
result.info['added'] = result.info.get('added', 0) + 1
return result
def __iadd__(self, other):
result = super(SubArray, self).__iadd__(other)
result.info['iadded'] = result.info.get('iadded', 0) + 1
return result
subarray = SubArray
class SubMaskedArray(MaskedArray):
"""Pure subclass of MaskedArray, keeping some info on subclass."""
def __new__(cls, info=None, **kwargs):
obj = super(SubMaskedArray, cls).__new__(cls, **kwargs)
obj._optinfo['info'] = info
return obj
class MSubArray(SubArray, MaskedArray):
def __new__(cls, data, info={}, mask=nomask):
subarr = SubArray(data, info)
_data = MaskedArray.__new__(cls, data=subarr, mask=mask)
_data.info = subarr.info
return _data
def _get_series(self):
_view = self.view(MaskedArray)
_view._sharedmask = False
return _view
_series = property(fget=_get_series)
msubarray = MSubArray
class MMatrix(MaskedArray, np.matrix,):
def __new__(cls, data, mask=nomask):
mat = np.matrix(data)
_data = MaskedArray.__new__(cls, data=mat, mask=mask)
return _data
def __array_finalize__(self, obj):
np.matrix.__array_finalize__(self, obj)
MaskedArray.__array_finalize__(self, obj)
return
def _get_series(self):
_view = self.view(MaskedArray)
_view._sharedmask = False
return _view
_series = property(fget=_get_series)
mmatrix = MMatrix
# Also a subclass that overrides __str__, __repr__ and __setitem__, disallowing
# setting to non-class values (and thus np.ma.core.masked_print_option)
# and overrides __array_wrap__, updating the info dict, to check that this
# doesn't get destroyed by MaskedArray._update_from. But this one also needs
# its own iterator...
class CSAIterator(object):
"""
Flat iterator object that uses its own setter/getter
(works around ndarray.flat not propagating subclass setters/getters
see https://github.com/numpy/numpy/issues/4564)
roughly following MaskedIterator
"""
def __init__(self, a):
self._original = a
self._dataiter = a.view(np.ndarray).flat
def __iter__(self):
return self
def __getitem__(self, indx):
out = self._dataiter.__getitem__(indx)
if not isinstance(out, np.ndarray):
out = out.__array__()
out = out.view(type(self._original))
return out
def __setitem__(self, index, value):
self._dataiter[index] = self._original._validate_input(value)
def __next__(self):
return next(self._dataiter).__array__().view(type(self._original))
next = __next__
class ComplicatedSubArray(SubArray):
def __str__(self):
return 'myprefix {0} mypostfix'.format(self.view(SubArray))
def __repr__(self):
# Return a repr that does not start with 'name('
return '<{0} {1}>'.format(self.__class__.__name__, self)
def _validate_input(self, value):
if not isinstance(value, ComplicatedSubArray):
raise ValueError("Can only set to MySubArray values")
return value
def __setitem__(self, item, value):
# validation ensures direct assignment with ndarray or
# masked_print_option will fail
super(ComplicatedSubArray, self).__setitem__(
item, self._validate_input(value))
def __getitem__(self, item):
# ensure getter returns our own class also for scalars
value = super(ComplicatedSubArray, self).__getitem__(item)
if not isinstance(value, np.ndarray): # scalar
value = value.__array__().view(ComplicatedSubArray)
return value
@property
def flat(self):
return CSAIterator(self)
@flat.setter
def flat(self, value):
y = self.ravel()
y[:] = value
def __array_wrap__(self, obj, context=None):
obj = super(ComplicatedSubArray, self).__array_wrap__(obj, context)
if context is not None and context[0] is np.multiply:
obj.info['multiplied'] = obj.info.get('multiplied', 0) + 1
return obj
class TestSubclassing(TestCase):
# Test suite for masked subclasses of ndarray.
def setUp(self):
x = np.arange(5, dtype='float')
mx = mmatrix(x, mask=[0, 1, 0, 0, 0])
self.data = (x, mx)
def test_data_subclassing(self):
# Tests whether the subclass is kept.
x = np.arange(5)
m = [0, 0, 1, 0, 0]
xsub = SubArray(x)
xmsub = masked_array(xsub, mask=m)
self.assertTrue(isinstance(xmsub, MaskedArray))
assert_equal(xmsub._data, xsub)
self.assertTrue(isinstance(xmsub._data, SubArray))
def test_maskedarray_subclassing(self):
# Tests subclassing MaskedArray
(x, mx) = self.data
self.assertTrue(isinstance(mx._data, np.matrix))
def test_masked_unary_operations(self):
# Tests masked_unary_operation
(x, mx) = self.data
with np.errstate(divide='ignore'):
self.assertTrue(isinstance(log(mx), mmatrix))
assert_equal(log(x), np.log(x))
def test_masked_binary_operations(self):
# Tests masked_binary_operation
(x, mx) = self.data
# Result should be a mmatrix
self.assertTrue(isinstance(add(mx, mx), mmatrix))
self.assertTrue(isinstance(add(mx, x), mmatrix))
# Result should work
assert_equal(add(mx, x), mx+x)
self.assertTrue(isinstance(add(mx, mx)._data, np.matrix))
self.assertTrue(isinstance(add.outer(mx, mx), mmatrix))
self.assertTrue(isinstance(hypot(mx, mx), mmatrix))
self.assertTrue(isinstance(hypot(mx, x), mmatrix))
def test_masked_binary_operations2(self):
# Tests domained_masked_binary_operation
(x, mx) = self.data
xmx = masked_array(mx.data.__array__(), mask=mx.mask)
self.assertTrue(isinstance(divide(mx, mx), mmatrix))
self.assertTrue(isinstance(divide(mx, x), mmatrix))
assert_equal(divide(mx, mx), divide(xmx, xmx))
def test_attributepropagation(self):
x = array(arange(5), mask=[0]+[1]*4)
my = masked_array(subarray(x))
ym = msubarray(x)
#
z = (my+1)
self.assertTrue(isinstance(z, MaskedArray))
self.assertTrue(not isinstance(z, MSubArray))
self.assertTrue(isinstance(z._data, SubArray))
assert_equal(z._data.info, {})
#
z = (ym+1)
self.assertTrue(isinstance(z, MaskedArray))
self.assertTrue(isinstance(z, MSubArray))
self.assertTrue(isinstance(z._data, SubArray))
self.assertTrue(z._data.info['added'] > 0)
# Test that inplace methods from data get used (gh-4617)
ym += 1
self.assertTrue(isinstance(ym, MaskedArray))
self.assertTrue(isinstance(ym, MSubArray))
self.assertTrue(isinstance(ym._data, SubArray))
self.assertTrue(ym._data.info['iadded'] > 0)
#
ym._set_mask([1, 0, 0, 0, 1])
assert_equal(ym._mask, [1, 0, 0, 0, 1])
ym._series._set_mask([0, 0, 0, 0, 1])
assert_equal(ym._mask, [0, 0, 0, 0, 1])
#
xsub = subarray(x, info={'name':'x'})
mxsub = masked_array(xsub)
self.assertTrue(hasattr(mxsub, 'info'))
assert_equal(mxsub.info, xsub.info)
def test_subclasspreservation(self):
# Checks that masked_array(...,subok=True) preserves the class.
x = np.arange(5)
m = [0, 0, 1, 0, 0]
xinfo = [(i, j) for (i, j) in zip(x, m)]
xsub = MSubArray(x, mask=m, info={'xsub':xinfo})
#
mxsub = masked_array(xsub, subok=False)
self.assertTrue(not isinstance(mxsub, MSubArray))
self.assertTrue(isinstance(mxsub, MaskedArray))
assert_equal(mxsub._mask, m)
#
mxsub = asarray(xsub)
self.assertTrue(not isinstance(mxsub, MSubArray))
self.assertTrue(isinstance(mxsub, MaskedArray))
assert_equal(mxsub._mask, m)
#
mxsub = masked_array(xsub, subok=True)
self.assertTrue(isinstance(mxsub, MSubArray))
assert_equal(mxsub.info, xsub.info)
assert_equal(mxsub._mask, xsub._mask)
#
mxsub = asanyarray(xsub)
self.assertTrue(isinstance(mxsub, MSubArray))
assert_equal(mxsub.info, xsub.info)
assert_equal(mxsub._mask, m)
def test_subclass_items(self):
"""test that getter and setter go via baseclass"""
x = np.arange(5)
xcsub = ComplicatedSubArray(x)
mxcsub = masked_array(xcsub, mask=[True, False, True, False, False])
# getter should return a ComplicatedSubArray, even for single item
# first check we wrote ComplicatedSubArray correctly
self.assertTrue(isinstance(xcsub[1], ComplicatedSubArray))
self.assertTrue(isinstance(xcsub[1:4], ComplicatedSubArray))
# now that it propagates inside the MaskedArray
self.assertTrue(isinstance(mxcsub[1], ComplicatedSubArray))
self.assertTrue(mxcsub[0] is masked)
self.assertTrue(isinstance(mxcsub[1:4].data, ComplicatedSubArray))
# also for flattened version (which goes via MaskedIterator)
self.assertTrue(isinstance(mxcsub.flat[1].data, ComplicatedSubArray))
self.assertTrue(mxcsub[0] is masked)
self.assertTrue(isinstance(mxcsub.flat[1:4].base, ComplicatedSubArray))
# setter should only work with ComplicatedSubArray input
# first check we wrote ComplicatedSubArray correctly
assert_raises(ValueError, xcsub.__setitem__, 1, x[4])
# now that it propagates inside the MaskedArray
assert_raises(ValueError, mxcsub.__setitem__, 1, x[4])
assert_raises(ValueError, mxcsub.__setitem__, slice(1, 4), x[1:4])
mxcsub[1] = xcsub[4]
mxcsub[1:4] = xcsub[1:4]
# also for flattened version (which goes via MaskedIterator)
assert_raises(ValueError, mxcsub.flat.__setitem__, 1, x[4])
assert_raises(ValueError, mxcsub.flat.__setitem__, slice(1, 4), x[1:4])
mxcsub.flat[1] = xcsub[4]
mxcsub.flat[1:4] = xcsub[1:4]
def test_subclass_repr(self):
"""test that repr uses the name of the subclass
and 'array' for np.ndarray"""
x = np.arange(5)
mx = masked_array(x, mask=[True, False, True, False, False])
self.assertTrue(repr(mx).startswith('masked_array'))
xsub = SubArray(x)
mxsub = masked_array(xsub, mask=[True, False, True, False, False])
self.assertTrue(repr(mxsub).startswith(
'masked_{0}(data = [-- 1 -- 3 4]'.format(SubArray.__name__)))
def test_subclass_str(self):
"""test str with subclass that has overridden str, setitem"""
# first without override
x = np.arange(5)
xsub = SubArray(x)
mxsub = masked_array(xsub, mask=[True, False, True, False, False])
self.assertTrue(str(mxsub) == '[-- 1 -- 3 4]')
xcsub = ComplicatedSubArray(x)
assert_raises(ValueError, xcsub.__setitem__, 0,
np.ma.core.masked_print_option)
mxcsub = masked_array(xcsub, mask=[True, False, True, False, False])
self.assertTrue(str(mxcsub) == 'myprefix [-- 1 -- 3 4] mypostfix')
def test_pure_subclass_info_preservation(self):
# Test that ufuncs and methods conserve extra information consistently;
# see gh-7122.
arr1 = SubMaskedArray('test', data=[1,2,3,4,5,6])
arr2 = SubMaskedArray(data=[0,1,2,3,4,5])
diff1 = np.subtract(arr1, arr2)
self.assertTrue('info' in diff1._optinfo)
self.assertTrue(diff1._optinfo['info'] == 'test')
diff2 = arr1 - arr2
self.assertTrue('info' in diff2._optinfo)
self.assertTrue(diff2._optinfo['info'] == 'test')
###############################################################################
if __name__ == '__main__':
run_module_suite()
| [
"[email protected]"
]
| |
a521964d8e8464d965b9154d8ced63e65c5d7094 | d27af9d58b91b8cd998ac0eb87d980d304ff0670 | /Beginner-Contest/ABC111/ABC111_B.py | 32201fad3a3c038e022bedc7f8262a0eb6645da9 | []
| no_license | mongesan/Atcoder-m0_ngesan-py | 29dd79daab149003ffc8b6b6bad5fa2e7daa9646 | 6654af034d4ff4cece1be04c2c8b756976d99a4b | refs/heads/master | 2023-08-20T19:50:04.547025 | 2021-10-27T12:24:51 | 2021-10-27T12:24:51 | 258,486,105 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9 | py | #ABC111_B | [
"[email protected]"
]
| |
f4d4477c62a9b7c90942fce44f0792f8b0c019a1 | c3a84a07539c33040376f2c1e140b1a1041f719e | /wagtail-stubs/admin/views/tags.pyi | 55025030a9dcc5f24d36277a1b5c72bd7e56c396 | []
| no_license | tm-kn/tmp-wagtail-stubs | cc1a4434b7142cb91bf42efb7daad006c4a7dbf4 | 23ac96406610b87b2e7751bc18f0ccd27f17eb44 | refs/heads/master | 2023-01-20T14:41:33.962460 | 2020-11-30T23:15:38 | 2020-11-30T23:15:38 | 317,332,280 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 134 | pyi | from typing import Any, Optional
def autocomplete(request: Any, app_name: Optional[Any] = ..., model_name: Optional[Any] = ...): ...
| [
"[email protected]"
]
| |
020965ab409130059e4fb9e1e3a6cf4d39e75232 | 864755f7d733351b205e460ec54a5f6d13050037 | /devilry/devilry_settings/views.py | 602dd5a1b02bebe44232137c80586840865b0340 | []
| permissive | aless80/devilry-django | 27fc14b7bb7356f5f9d168e435a84e7bb43a682a | 416c262e75170d5662542f15e2d7fecf5ab84730 | refs/heads/master | 2020-05-20T12:22:09.255393 | 2019-05-19T21:06:57 | 2019-05-19T21:06:57 | 185,568,847 | 0 | 0 | BSD-3-Clause | 2019-05-08T08:53:52 | 2019-05-08T08:53:51 | null | UTF-8 | Python | false | false | 753 | py | from django.http import HttpResponse
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.core.urlresolvers import reverse
@login_required
def missing_setting(request, setting):
message = """
You have been redirected to this view because your local Devilry system administrator
have not set the <strong>{setting}</strong>-setting. Please tell them to set it.""".format(setting=setting)
return HttpResponse('<html><body>{message}</body></html>'.format(message=message))
def urlsetting_or_unsetview(settingname):
setting = getattr(settings, settingname, None)
if setting:
return setting
else:
return reverse('devilry_settings_missing_setting', args=(settingname,))
| [
"[email protected]"
]
| |
2155e9730a7adb5594c0a9c0e5138143f70e3f0e | f8cf0f8d3ca1784b59fff380b99c4fa4da225389 | /ceshi/configparser/test.py | 4369761d2860981c381117b763a2d97b2035bd9f | []
| no_license | loveguan/mysite | 6f3c10c9bd1780a6a3c789c03ef66a10b186da92 | 7217b0e111626af0e6afddd0bc405705cf9641ca | refs/heads/master | 2021-01-01T20:49:45.367058 | 2018-02-05T14:19:42 | 2018-02-05T14:19:42 | 98,939,981 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 817 | py | #!/usr/bin/env python
# encoding: utf-8
'''
@author: JOJ
@license: (C) Copyright 2013-2017, Node Supply Chain Manager Corporation Limited.
@contact: [email protected]
@software: JOJ
@file: test.py
@time: 2017/12/14 15:42
@desc: 建立配置文件
'''
import configparser
config=configparser.ConfigParser()
config["DEFAULT"]={'ServerAliveInterval': '45',
'Compression': 'yes',
'CompressionLevel': '9'}
config['bitbucket.org'] = {}
config['bitbucket.org']['User'] = 'hg'
config['topsecret.server.com'] = {}
topsecret = config['topsecret.server.com']
topsecret['Host Port'] = '50022' # mutates the parser
topsecret['ForwardX11'] = 'no' # same here
config['DEFAULT']['ForwardX11'] = 'yes'
with open('example.ini','w') as configfile:
config.write(configfile) | [
"[email protected]"
]
| |
f3cd6766d23f03656ef3274d07cce9ea1489c132 | 350ecc8259bcad075bd376423335bb41cc8a533e | /classic_strategy1.py | 50460f25736ecc5fcf66524f4c162073165d5ca1 | []
| no_license | CodedQuen/python_begin | 39da66ecc4a77b94a5afbbf0900727c8156b85e1 | 1433c319b5d85520c50aee00dd4b6f21a7e6366a | refs/heads/master | 2022-06-10T10:30:28.807874 | 2020-04-25T03:34:03 | 2020-04-25T03:34:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,457 | py | # classic_strategy.py
# Strategy pattern -- classic implementation
"""
# BEGIN CLASSIC_STRATEGY_TESTS
>>> joe = Customer('John Doe', 0) # <1>
>>> ann = Customer('Ann Smith', 1100)
>>> cart = [LineItem('banana', 4, .5), # <2>
... LineItem('apple', 10, 1.5),
... LineItem('watermellon', 5, 5.0)]
>>> Order(joe, cart, FidelityPromo()) # <3>
<Order total: 42.00 due: 42.00>
>>> Order(ann, cart, FidelityPromo()) # <4>
<Order total: 42.00 due: 39.90>
>>> banana_cart = [LineItem('banana', 30, .5), # <5>
... LineItem('apple', 10, 1.5)]
>>> Order(joe, banana_cart, BulkItemPromo()) # <6>
<Order total: 30.00 due: 28.50>
>>> long_order = [LineItem(str(item_code), 1, 1.0) # <7>
... for item_code in range(10)]
>>> Order(joe, long_order, LargeOrderPromo()) # <8>
<Order total: 10.00 due: 9.30>
>>> Order(joe, cart, LargeOrderPromo())
<Order total: 42.00 due: 42.00>
# END CLASSIC_STRATEGY_TESTS
"""
# BEGIN CLASSIC_STRATEGY
from abc import ABC, abstractmethod
from collections import namedtuple
Customer = namedtuple('Customer', 'name fidelity')
class LineItem:
def __init__(self, product, quantity, price):
self.product = product
self.quantity = quantity
self.price = price
def total(self):
return self.price * self.quantity
class Order: # the Context
def __init__(self, customer, cart, promotion=None):
self.customer = customer
self.cart = list(cart)
self.promotion = promotion
def total(self):
if not hasattr(self, '__total'):
self.__total = sum(item.total() for item in self.cart)
return self.__total
def due(self):
if self.promotion is None:
discount = 0
else:
discount = self.promotion.discount(self)
return self.total() - discount
def __repr__(self):
fmt = '<Order total: {:.2f} due: {:.2f}>'
return fmt.format(self.total(), self.due())
class Promotion(ABC): # the Strategy: an Abstract Base Class
@abstractmethod
def discount(self, order):
"""Return discount as a positive dollar amount"""
class FidelityPromo(Promotion): # first Concrete Strategy
"""5% discount for customers with 1000 or more fidelity points"""
def discount(self, order):
return order.total() * .05 if order.customer.fidelity >= 1000 else 0
class BulkItemPromo(Promotion): # second Concrete Strategy
"""10% discount for each LineItem with 20 or more units"""
def discount(self, order):
discount = 0
for item in order.cart:
if item.quantity >= 20:
discount += item.total() * .1
return discount
class LargeOrderPromo(Promotion): # third Concrete Strategy
"""7% discount for orders with 10 or more distinct items"""
def discount(self, order):
distinct_items = {item.product for item in order.cart}
if len(distinct_items) >= 10:
return order.total() * .07
return 0
joe = Customer('John Doe', 0)
ann = Customer('Ann Smith', 1100)
cart = [LineItem('banana', 4, .5),
LineItem('apple', 10, 1.5),
LineItem('watermellon', 5, 5.0)]
print(Order(joe, cart, FidelityPromo()))
# END CLASSIC_STRATEGY
| [
"[email protected]"
]
| |
6f15e3cd583c011bb562a0b53d54bb954df4bb24 | 473507d7540ad1ee5ae2670ac18ace05cd50f6fa | /Math/excel_sheet_column_number.py | 51d65533812a517cb65c1ea1328ec16f33f05486 | []
| no_license | JunctionChao/LeetCode | 4558c9d053f4a4d003903d08fade9fd93e6d9658 | 10daf38e673e69922f4be7eadf4054810da8ae13 | refs/heads/master | 2023-02-04T06:59:35.833078 | 2020-12-18T14:32:03 | 2020-12-18T14:32:03 | 322,617,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 362 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Date : 2019-09-19
# Author : Yuanbo Zhao ([email protected])
def titleToNumber(s: str) -> int:
i = 0
result = 0
for char in s[::-1]:
r = ord(char) - ord('A') + 1
result += r * 26**i
i += 1
return result
if __name__ == '__main__':
print(titleToNumber('AA'))
| [
"[email protected]"
]
| |
4d2f0d2d4ca9497e547201b052c68f244f1836f0 | 93713f46f16f1e29b725f263da164fed24ebf8a8 | /Library/lib/python3.7/site-packages/astropy-4.0-py3.7-macosx-10.9-x86_64.egg/astropy/units/format/__init__.py | bad82f9313aa459bb138f442ee33f3d00bf7bc45 | [
"BSD-3-Clause"
]
| permissive | holzschu/Carnets | b83d15136d25db640cea023abb5c280b26a9620e | 1ad7ec05fb1e3676ac879585296c513c3ee50ef9 | refs/heads/master | 2023-02-20T12:05:14.980685 | 2023-02-13T15:59:23 | 2023-02-13T15:59:23 | 167,671,526 | 541 | 36 | BSD-3-Clause | 2022-11-29T03:08:22 | 2019-01-26T09:26:46 | Python | UTF-8 | Python | false | false | 1,864 | py | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
A collection of different unit formats.
"""
# This is pretty atrocious, but it will prevent a circular import for those
# formatters that need access to the units.core module An entry for it should
# exist in sys.modules since astropy.units.core imports this module
import sys
core = sys.modules['astropy.units.core']
from .base import Base
from .generic import Generic, Unscaled
from .cds import CDS
from .console import Console
from .fits import Fits
from .latex import Latex, LatexInline
from .ogip import OGIP
from .unicode_format import Unicode
from .vounit import VOUnit
__all__ = [
'Base', 'Generic', 'CDS', 'Console', 'Fits', 'Latex', 'LatexInline',
'OGIP', 'Unicode', 'Unscaled', 'VOUnit', 'get_format']
def get_format(format=None):
"""
Get a formatter by name.
Parameters
----------
format : str or `astropy.units.format.Base` instance or subclass
The name of the format, or the format instance or subclass
itself.
Returns
-------
format : `astropy.units.format.Base` instance
The requested formatter.
"""
if isinstance(format, type) and issubclass(format, Base):
return format
elif not (isinstance(format, str) or format is None):
raise TypeError(
"Formatter must a subclass or instance of a subclass of {!r} "
"or a string giving the name of the formatter. Valid formatter "
"names are: [{}]".format(Base, ', '.join(Base.registry)))
if format is None:
format = 'generic'
format_lower = format.lower()
if format_lower in Base.registry:
return Base.registry[format_lower]
raise ValueError("Unknown format {!r}. Valid formatter names are: "
"[{}]".format(format, ', '.join(Base.registry)))
| [
"[email protected]"
]
| |
bb9fa8236399987f6814680af95a20481f9fc3d4 | 67b7e6d2c08f08403ec086c510622be48b8d26d8 | /src/test/tinc/tincrepo/mpp/gpdb/tests/queries/basic/exttab/errlog/sql/datagen_first_errors.py | d83f25a62ae3d2681a21b0d929f720f87afcdc31 | [
"Apache-2.0",
"PostgreSQL",
"LicenseRef-scancode-rsa-md4",
"OLDAP-2.8",
"HPND-sell-variant",
"BSD-4-Clause-UC",
"BSD-3-Clause",
"Zlib",
"LicenseRef-scancode-zeusbench",
"LicenseRef-scancode-mit-modification-obligations",
"OpenSSL",
"MIT",
"LicenseRef-scancode-other-copyleft",
"bzip2-1.0.6",
"NTP",
"W3C",
"metamail",
"Beerware",
"RSA-MD",
"LicenseRef-scancode-rsa-1990",
"LicenseRef-scancode-stream-benchmark",
"LicenseRef-scancode-openssl",
"X11-distribute-modifications-variant",
"LicenseRef-scancode-pcre",
"LicenseRef-scancode-ssleay-windows",
"Spencer-94",
"ISC",
"LicenseRef-scancode-other-permissive",
"BSD-2-Clause",
"Python-2.0",
"curl",
"LicenseRef-scancode-sun-bcl-sdk-5.0",
"MIT-CMU",
"W3C-19980720"
]
| permissive | sshyran/gpdb | 41012411d22b0294204dfb0fe67a1f4c8d1ecaf6 | 2d065ecdd2b5535cb42474f17a0ee6592b4e6837 | refs/heads/master | 2023-04-09T14:05:44.030212 | 2016-11-12T08:33:33 | 2016-11-12T08:34:36 | 73,544,159 | 0 | 0 | Apache-2.0 | 2023-04-04T00:30:10 | 2016-11-12T09:43:54 | PLpgSQL | UTF-8 | Python | false | false | 1,166 | py | """
Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved.
This program and the accompanying materials are made available under
the terms of the 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 random
import sys
def main(total_rows, number_of_error_rows):
error_count = 0
for i in xrange(number_of_error_rows):
print "error_%s" %str(error_count)
for i in xrange(total_rows - number_of_error_rows):
print "%s|%s_number" %(i,i)
if __name__ == '__main__':
total_rows = 20
error_rows = 0
if len(sys.argv) > 1:
total_rows = int(sys.argv[1])
error_rows = int(sys.argv[2])
main(total_rows, error_rows)
| [
"[email protected]"
]
| |
a0924adb3c7da96cb655447e56114e94b508ac22 | b68c92fe89b701297f76054b0f284df5466eb698 | /Other/Companies/Microsoft/BenchmarkMatching.py | a00910c36d86cd8e47e303768e50f53753c80cee | []
| no_license | makrandp/python-practice | 32381a8c589f9b499ab6bde8184a847b066112f8 | 60218fd79248bf8138158811e6e1b03261fb38fa | refs/heads/master | 2023-03-27T18:11:56.066535 | 2021-03-28T04:02:00 | 2021-03-28T04:02:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,409 | py | '''
Programming challenge description:
We say a portfolio matches the benchmark when the number of shares of each asset in the portfolio matches the number of shares of each asset in the benchmark. Your question is to write a program that determines the transactions necessary to make a portfolio match a benchmark.
A portfolio is a collection of assets such as stocks and bonds. A portfolio could have 10 shares of Vodafone stock, 15 shares of Google stock and 15 shares of Microsoft bonds. A benchmark is also just a collection of assets. A benchmark could have 15 shares of Vodafone stock, 10 shares of Google stock and 15 shares of Microsoft bonds.
A transaction is when you “buy” or “sell” a particular asset of certain asset type (“stock” or “bond”). For instance, you can decide to buy 5 shares of Vodafone stock which, given the portfolio described above, would result in you having 15 shares of Vodafone stock. Correspondingly, you decide to sell 5 shares of Microsoft bonds, which would result in 10 shares of Microsoft bonds in the above portfolio.
Assumptions:
Shares are positive decimals
There will always be at least 1 asset present in the Portfolio and Benchmark
A particular asset can be bond, stock, or both. For example, 5 shares of Microsoft bonds and 10 shares of Microsoft stock can both be present in the portfolio/benchmark
The trades should be sorted in alphabetical order based on the names of the assets; if both bonds and stock are present for an asset, list bonds first
Input:
The first part of the input is the Portfolio holdings (in the format Name,AssetType,Shares where each asset is separated by ‘|’ symbol)
The second part of the input is the Benchmark holdings (in the format Name,AssetType,Shares where each asset is separated by ‘|’ symbol)
Example input: Vodafone,STOCK,10|Google,STOCK,15|Microsoft,BOND,15:Vodafone,STOCK,15|Google,STOCK,10|Microsoft,BOND,15
Note that the two parts are separated by the ‘:’ symbol.
Output:
The output is a list of transactions (separated by new line) in the format TransactionType,Name,AssetType,Shares. Note that the TransactionType should only be BUY or SELL.
Example output: SELL,Google,STOCK,5 BUY,Vodafone,STOCK,5
Test 1
Test Input
Download Test 1 Input
Vodafone,STOCK,10|Google,STOCK,15|Microsoft,BOND,15:Vodafone,STOCK,15|Google,STOCK,10|Microsoft,BOND,15
Expected Output
Download Test 1 Input
SELL,Google,STOCK,5
BUY,Vodafone,STOCK,5
Test 2
Test Input
Download Test 2 Input
Vodafone,STOCK,10|Google,STOCK,15:Vodafone,STOCK,15|Vodafone,BOND,10|Google,STOCK,10
Expected Output
Download Test 2 Input
SELL,Google,STOCK,5
BUY,Vodafone,BOND,10
BUY,Vodafone,STOCK,5
'''
"""
Super quick python answer based off of the information & test cases provided. Could/should heavily improve the string concatenation.
All we do is take the company name plus the shares type (bond or stock) and use that as the key, with the amount as the value. We do this for both the current portfolio and the benchmark. For example "Vodafone,STOCK,10|Google,STOCK,15:Vodafone,STOCK,15|Vodafone,BOND,10|Google,STOCK,10"" gives us:
currentShares = {
"Vodafone,STOCK": 10,
"Google,STOCK": 15
}
benchmarkShares = {
"Vodafone,Stock": 15,
"Vodafone,BOND": 15,
"Google,STOCK": 10
}
Then we iterate through the benchmark shares, outputting based off of the difference and removing the key from current shares. Of the remaining current shares, we simply sell them off.
"""
from typing import List
from collections import defaultdict
class Solution():
def benchmarkMatching(self, data: str) -> List[str]:
# Getting our current share prices
currentShares, benchmarkShares = data.split(':')
currentShares, benchmarkShares = currentShares.split('|'), benchmarkShares.split('|')
currentSharesHash, outputBonds, outputShares = defaultdict(lambda: 0), list(), list()
for c in currentShares:
name, portType, amount = c.split(',')
currentSharesHash[name+","+portType] += int(amount)
for c in benchmarkShares:
name, portType, amount = c.split(',')
diff = int(amount) if name+","+portType not in currentSharesHash else (int(amount) - currentSharesHash[name+","+portType])
if diff != 0:
s = ("SELL" if diff < 0 else "BUY") + "," + name + "," + portType + "," + str(abs(diff))
if portType == "BOND":
outputBonds.append((name,s))
else:
outputShares.append((name,s))
if name+","+portType in currentSharesHash:
del currentSharesHash[name+","+portType]
for c in currentSharesHash.keys():
name, portType = c.split(',')
amount = currentSharesHash[c]
if portType == "BOND":
outputBonds.append((name,s))
else:
outputShares.append((name,s))
# Sorting outputs
output = list()
for bond in sorted(outputBonds):
output.append(bond[1])
for share in sorted(outputShares):
output.append(share[1])
print(output)
s = Solution()
s.benchmarkMatching("Vodafone,STOCK,10|Google,STOCK,15:Vodafone,STOCK,15|Vodafone,BOND,10|Google,STOCK,10")
s.benchmarkMatching("Vodafone,STOCK,10|Google,STOCK,15|Microsoft,BOND,15:Vodafone,STOCK,15|Google,STOCK,10|Microsoft,BOND,15") | [
"[email protected]"
]
| |
50d8820972add7db1e12f143f05cf38d7f3ed8a2 | 548a5ed489f88b34f0dd31a2118cb1ce82155c99 | /BOJ/2020_12/2562.py | fce608b3cdaa9bec2c41b134ed6c60e49a90d410 | []
| no_license | rkdtmddnjs97/algorithm | f44606f0f39c39af272ffef5373c801e7388d882 | 7cc3d20d654ea067502c3e60b706b0cb765784c0 | refs/heads/main | 2023-07-13T08:20:38.750770 | 2021-08-21T20:31:54 | 2021-08-21T20:31:54 | 398,647,983 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 128 | py | a = [ int(input()) for i in range(9)]
b = max(a)
print(b)
for key,value in enumerate(a):
if value == b:
print(key+1) | [
"[email protected]"
]
| |
1509d9b68521df12375cdeb84a7ebe5c1ec96e76 | 91d1a6968b90d9d461e9a2ece12b465486e3ccc2 | /elasticache_write_f/tags-to-resource_add.py | 9d6e980bae8076a92de85796496e725ed2d6d06f | []
| no_license | lxtxl/aws_cli | c31fc994c9a4296d6bac851e680d5adbf7e93481 | aaf35df1b7509abf5601d3f09ff1fece482facda | refs/heads/master | 2023-02-06T09:00:33.088379 | 2020-12-27T13:38:45 | 2020-12-27T13:38:45 | 318,686,394 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | #!/usr/bin/python
# -*- codding: utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from common.execute_command import write_parameter
# url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/ec2/describe-instances.html
if __name__ == '__main__':
"""
"""
write_parameter("elasticache", "add-tags-to-resource") | [
"[email protected]"
]
| |
bb15f4a2be885270cef4e62640a269481b8a03d3 | 8da4a294cd72d36f1f890148b859eee88fe270ac | /dev/local/data/external.py | 1b49501bc88cbb32b8c1f668d3ef04f8e21d4687 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
]
| permissive | neerajshukla1911/fastai_dev | 3bf323e80d5594fb4bc543fe73de553e036b2ec2 | 768a5dac135a0f2ea91bc645ba279d3b1c5fd649 | refs/heads/master | 2020-07-16T00:47:11.761475 | 2019-09-01T14:10:32 | 2019-09-01T14:10:32 | 205,684,686 | 0 | 0 | Apache-2.0 | 2019-09-01T14:04:13 | 2019-09-01T14:04:12 | null | UTF-8 | Python | false | false | 8,016 | py | #AUTOGENERATED! DO NOT EDIT! File to edit: dev/04_data_external.ipynb (unless otherwise specified).
__all__ = ['download_url', 'URLs', 'get_path', 'ConfigKey', 'download_data', 'untar_data']
from ..imports import *
from ..test import *
from ..core import *
def download_url(url, dest, overwrite=False, pbar=None, show_progress=True, chunk_size=1024*1024,
timeout=4, retries=5):
"Download `url` to `dest` unless it exists and not `overwrite`"
if os.path.exists(dest) and not overwrite: return
s = requests.Session()
s.mount('http://',requests.adapters.HTTPAdapter(max_retries=retries))
u = s.get(url, stream=True, timeout=timeout)
try: file_size = int(u.headers["Content-Length"])
except: show_progress = False
with open(dest, 'wb') as f:
nbytes = 0
if show_progress:
pbar = progress_bar(range(file_size), auto_update=False, leave=False, parent=pbar)
try:
for chunk in u.iter_content(chunk_size=chunk_size):
nbytes += len(chunk)
if show_progress: pbar.update(nbytes)
f.write(chunk)
except requests.exceptions.ConnectionError as e:
fname = url.split('/')[-1]
from fastai.datasets import Config
data_dir = dest.parent
print(f'\n Download of {url} has failed after {retries} retries\n'
f' Fix the download manually:\n'
f'$ mkdir -p {data_dir}\n'
f'$ cd {data_dir}\n'
f'$ wget -c {url}\n'
f'$ tar -zxvf {fname}\n'
f' And re-run your code once the download is successful\n')
class URLs():
"Global constants for dataset and model URLs."
LOCAL_PATH = Path.cwd()
URL = 'http://files.fast.ai/data/examples/'
MDL = 'http://files.fast.ai/models/'
S3 = 'https://s3.amazonaws.com/fast-ai-'
S3_IMAGE = f'{S3}imageclas/'
S3_IMAGELOC = f'{S3}imagelocal/'
S3_NLP = f'{S3}nlp/'
S3_COCO = f'{S3}coco/'
S3_MODEL = f'{S3}modelzoo/'
# main datasets
ADULT_SAMPLE = f'{URL}adult_sample.tgz'
BIWI_SAMPLE = f'{URL}biwi_sample.tgz'
CIFAR = f'{URL}cifar10.tgz'
COCO_SAMPLE = f'{S3_COCO}coco_sample.tgz'
COCO_TINY = f'{URL}coco_tiny.tgz'
HUMAN_NUMBERS = f'{URL}human_numbers.tgz'
IMDB = f'{S3_NLP}imdb.tgz'
IMDB_SAMPLE = f'{URL}imdb_sample.tgz'
ML_SAMPLE = f'{URL}movie_lens_sample.tgz'
MNIST_SAMPLE = f'{URL}mnist_sample.tgz'
MNIST_TINY = f'{URL}mnist_tiny.tgz'
MNIST_VAR_SIZE_TINY = f'{S3_IMAGE}mnist_var_size_tiny.tgz'
PLANET_SAMPLE = f'{URL}planet_sample.tgz'
PLANET_TINY = f'{URL}planet_tiny.tgz'
IMAGENETTE = f'{S3_IMAGE}imagenette.tgz'
IMAGENETTE_160 = f'{S3_IMAGE}imagenette-160.tgz'
IMAGENETTE_320 = f'{S3_IMAGE}imagenette-320.tgz'
IMAGEWOOF = f'{S3_IMAGE}imagewoof.tgz'
IMAGEWOOF_160 = f'{S3_IMAGE}imagewoof-160.tgz'
IMAGEWOOF_320 = f'{S3_IMAGE}imagewoof-320.tgz'
# kaggle competitions download dogs-vs-cats -p {DOGS.absolute()}
DOGS = f'{URL}dogscats.tgz'
# image classification datasets
CALTECH_101 = f'{S3_IMAGE}caltech_101.tgz'
CARS = f'{S3_IMAGE}stanford-cars.tgz'
CIFAR_100 = f'{S3_IMAGE}cifar100.tgz'
CUB_200_2011 = f'{S3_IMAGE}CUB_200_2011.tgz'
FLOWERS = f'{S3_IMAGE}oxford-102-flowers.tgz'
FOOD = f'{S3_IMAGE}food-101.tgz'
MNIST = f'{S3_IMAGE}mnist_png.tgz'
PETS = f'{S3_IMAGE}oxford-iiit-pet.tgz'
# NLP datasets
AG_NEWS = f'{S3_NLP}ag_news_csv.tgz'
AMAZON_REVIEWS = f'{S3_NLP}amazon_review_full_csv.tgz'
AMAZON_REVIEWS_POLARITY = f'{S3_NLP}amazon_review_polarity_csv.tgz'
DBPEDIA = f'{S3_NLP}dbpedia_csv.tgz'
MT_ENG_FRA = f'{S3_NLP}giga-fren.tgz'
SOGOU_NEWS = f'{S3_NLP}sogou_news_csv.tgz'
WIKITEXT = f'{S3_NLP}wikitext-103.tgz'
WIKITEXT_TINY = f'{S3_NLP}wikitext-2.tgz'
YAHOO_ANSWERS = f'{S3_NLP}yahoo_answers_csv.tgz'
YELP_REVIEWS = f'{S3_NLP}yelp_review_full_csv.tgz'
YELP_REVIEWS_POLARITY = f'{S3_NLP}yelp_review_polarity_csv.tgz'
# Image localization datasets
BIWI_HEAD_POSE = f"{S3_IMAGELOC}biwi_head_pose.tgz"
CAMVID = f'{S3_IMAGELOC}camvid.tgz'
CAMVID_TINY = f'{URL}camvid_tiny.tgz'
LSUN_BEDROOMS = f'{S3_IMAGE}bedroom.tgz'
PASCAL_2007 = f'{S3_IMAGELOC}pascal_2007.tgz'
PASCAL_2012 = f'{S3_IMAGELOC}pascal_2012.tgz'
#Pretrained models
OPENAI_TRANSFORMER = f'{S3_MODEL}transformer.tgz'
WT103_FWD = f'{S3_MODEL}wt103-fwd'
WT103_BWD = f'{S3_MODEL}wt103-bwd'
def _get_config():
config_path = Path(os.getenv('FASTAI_HOME', '~/.fastai')).expanduser()
config_file = config_path/'config.yml'
if config_file.exists():
with open(config_file, 'r') as yaml_file:
config = yaml.safe_load(yaml_file)
if 'version' in config and config['version'] == 1: return config
else: config = {}
#File inexistent or wrong version -> going to default
config = {'data_path': str(config_path/'data'),
'archive_path': str(config_path/'archive'),
'model_path': str(config_path/'models'),
'version': 1}
with open(config_file, 'w') as yaml_file:
yaml.dump(config, yaml_file, default_flow_style=False)
return config
ConfigKey = Enum('ConfigKey', 'Data Archive Model')
def get_path(c_key=ConfigKey.Data):
return Path(_get_config()[f"{c_key.name.lower()}_path"])
def _url2path(url, c_key=ConfigKey.Archive):
fname = url.split('/')[-1]
local_path = URLs.LOCAL_PATH/('models' if c_key==ConfigKey.Model else 'data')/fname
if local_path.exists(): return local_path
return get_path(c_key)/fname
def download_data(url, fname=None, c_key=ConfigKey.Archive, force_download=False):
"Download `url` to `fname`."
fname = Path(fname or _url2path(url, c_key=c_key))
fname.parent.mkdir(parents=True, exist_ok=True)
if not fname.exists() or force_download:
print(f'Downloading {url}')
download_url(url, fname, overwrite=force_download)
return fname
def _get_check(url):
checks = json.load(open(Path(__file__).parent/'checks.txt', 'r'))
return checks.get(url, None)
def _check_file(fname):
size = os.path.getsize(fname)
with open(fname, "rb") as f:
hash_nb = hashlib.md5(f.read(2**20)).hexdigest()
return [size,hash_nb]
def _add_check(url, fname):
"Internal function to update the internal check file with `url` and check on `fname`."
checks = json.load(open(Path(__file__).parent/'checks.txt', 'r'))
checks[url] = _check_file(fname)
json.dump(checks, open(Path(__file__).parent/'checks.txt', 'w'), indent=2)
def untar_data(url, fname=None, dest=None, c_key=ConfigKey.Data, force_download=False):
"Download `url` to `fname` if `dest` doesn't exist, and un-tgz to folder `dest`."
default_dest = _url2path(url, c_key=c_key).with_suffix('')
dest = default_dest if dest is None else Path(dest)/default_dest.name
fname = Path(fname or _url2path(url))
if fname.exists() and _get_check(url) and _check_file(fname) != _get_check(url):
print("A new version of this is available, downloading...")
force_download = True
if force_download:
if fname.exists(): os.remove(fname)
if dest.exists(): shutil.rmtree(dest)
if not dest.exists():
fname = download_data(url, fname=fname, c_key=c_key)
if _get_check(url) and _check_file(fname) != _get_check(url):
print(f"File downloaded is broken. Remove {fname} and try again.")
tarfile.open(fname, 'r:gz').extractall(dest.parent)
return dest | [
"[email protected]"
]
| |
d630b1dd7a6eb1c30f516c89ef5c64aaeb65c260 | 6a0b5dd52577003eddeb45d1ccc173ff6de7e7ca | /director/users/api_v1_urls.py | 5721468341cbb8e8260894fc59e968198546b117 | [
"Apache-2.0"
]
| permissive | paulolimac/hub | 98ab1fd0c60ccc28a5a887dc486119da066ced36 | ce5d86343e340ff0bd734e49a48d0745ae88144d | refs/heads/master | 2020-04-03T13:21:20.046117 | 2018-10-29T23:49:37 | 2018-10-29T23:49:37 | 155,282,253 | 0 | 0 | null | 2018-10-29T21:14:19 | 2018-10-29T21:14:18 | null | UTF-8 | Python | false | false | 129 | py | from django.urls import path
from users.api_views import UserSearch
urlpatterns = [
path('search', UserSearch.as_view())
]
| [
"[email protected]"
]
| |
64724bb718e51f021275096a77275b11b6481ac4 | 4178f2916d2da72cbb45454fbed941dcfe8f6460 | /POM_test/TestCase/Debug2.py | a6a55e7b2f21f479f7cacf5f29ff779122b450fc | []
| no_license | maxcrup007/Selenium_Webdriver_Python | 15196cb04ba5cafdc5b776c26d167f0b48fb0e14 | 6be7f0b9f53df1ba592957029e8a4d22e409d1c4 | refs/heads/main | 2023-03-24T21:04:31.976451 | 2021-03-22T09:16:04 | 2021-03-22T09:16:04 | 349,379,454 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 952 | py |
import os
os.chdir('C:/Users/voraw/Desktop/Working/Gaming & Hobby/Ma11/miKu-Doujin/Chane name')
print(os.getcwd())
COUNT = 1
def change_name():
global COUNT
COUNT = COUNT + 1
for f in os.listdir():
f_name, f_ext = os.path.splitext(f)
if COUNT >= 100:
f_name = str(COUNT)
elif COUNT >= 10 and COUNT < 100:
f_name = "0" + str(COUNT)
else:
f_name = "00" + str(COUNT)
change_name()
new_name = '{} {}'.format(f_name, f_ext)
os.rename(f, new_name)
#### Source Code
# import os
#
# os.chdir('D://Geeksforgeeks')
# print(os.getcwd())
# COUNT = 1
#
#
# # Function to increment count
# # to make the files sorted.
# def increment():
# global COUNT
# COUNT = COUNT + 1
#
#
# for f in os.listdir():
# f_name, f_ext = os.path.splitext(f)
# f_name = "geek" + str(COUNT)
# increment()
#
# new_name = '{} {}'.format(f_name, f_ext)
# os.rename(f, new_name)
| [
"[email protected]"
]
| |
4ba9dd5155a46583999e303364738eb845069c8e | 94838674ffd175df6194437c1ccc3f90ab409d6c | /pillowV3/log/2018-12-30 14:32:11.007864 | f0ffac647e42c1490e5d2efabb7c2febde427f75 | []
| no_license | WojciechKoz/MyFirstNeuralNetwork | 4fdb3140d8f02257599d005638598f78055c1ac8 | 3cd032aba80ecd71edb0286724ae9ba565b75a81 | refs/heads/master | 2020-04-02T03:02:48.680433 | 2020-02-29T17:57:43 | 2020-02-29T17:57:43 | 153,943,121 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 278,221 | 007864 | #!/usr/bin/env python3
# -*- coding: utf8 -*-
from __future__ import print_function # new print() on python2
from datetime import datetime
import sys
import numpy as np
from mnist import MNIST
# Display full arrays
np.set_printoptions(threshold=np.inf)
mndata = MNIST('./data')
images_full, labels_full = mndata.load_training()
images = []
labels = []
# dynamic arguments
batch_size = int(sys.argv[1])
size_1 = int(sys.argv[2])
size_2 = int(sys.argv[3])
batch_training_size = int(sys.argv[4])
data_part = 5 # only one fifth of the whole dataset to speed up training
for i in range(len(labels_full) // batch_size // data_part):
images.append(images_full[i*batch_size : (i+1)*batch_size])
labels.append(labels_full[i*batch_size : (i+1)*batch_size])
def sigmoid_prime(x):
return np.exp(-x) / ((np.exp(-x) + 1) ** 2)
def sigmoid(x):
return 1 / (1 + np.exp(-x))
# nowe, przyda się?
def relu(x):
return np.maximum(x, x * 0.01)
def relu_prime(x):
if x >= 0:
return 1
# ej nie jest tak xd
# a jak xd?
type(x) == no.ndarray
# no x to macierz xd
# np.exp jest przeładowane ale jakakoleiwk funkcja to chyba nie
# to co foreach ? :(
# właśnie nie wiem, a co z gpu?
# to miało być szybsze a nie xd
# mamy duzo mozliwosci zmian ale nie na raz trzeba ustalic jakos
# hm TODO gpu TODO wincyj procent TODO gui gotowe
# xd
# tamto myliło hah
# to co najpierw? :p
# ssh daje wglad do basha tylko tak ?
# nie, to jest taki fajny programik, byobu
# i ten pasek na dole też jest z byobu
# on udostepnia tylko basha ?
# tak, ale basha multiplayer xd
# szkoda że 2 kursorow nie ma
# hm
return 0.01 # chyba tak xd nikt nie widzial xd
# ale x to macierz :p
# ale to jest przeciazone i jak jest funkcja od macierzy to bierze po kolei kazdy element
# w sumie
# zobacze na drugiej karcie xd
#X = np.array([[0, 0],
# [0, 1],
# [1, 0],
# [1, 1]])
#X = np.array(images)
y = []
for batch in labels:
y.append([])
for label in batch:
y[-1].append([1.0 if i == label else 0.0 for i in range(10)])
y = np.array(y)
#y = np.array([[0],
# [1],
# [1],
# [0]])
np.random.seed(1)
LEN = len(labels)
SIZES = [ 784, size_1, size_2, 10 ]
syn0 = 2 * np.random.random((SIZES[0], SIZES[1])) - 1
syn1 = 2 * np.random.random((SIZES[1], SIZES[2])) - 1
syn2 = 2 * np.random.random((SIZES[2], SIZES[3])) - 1
# biases for respective layers
b0 = 2 * np.random.random((1, SIZES[1])) - 1
b1 = 2 * np.random.random((1, SIZES[2])) - 1
b2 = 2 * np.random.random((1, SIZES[3])) - 1
for i, batch in list(enumerate(images)):
X = np.array(batch)
print("x:")
print(np.shape(X))
print("======================= BATCH {} =======================".format(i))
error = 1
j = 0
while j < batch_training_size:
l0 = X
l1 = sigmoid(np.dot(l0, syn0) + b0)
l2 = sigmoid(np.dot(l1, syn1) + b1)
l3 = sigmoid(np.dot(l2, syn2) + b2)
l3_error = (y[i] - l3)#** 2
error = np.mean(np.abs(l3_error))
j += 1
if j % 20 == 0:
print(("[%d] error: " % j) + str(error))
l3_delta = l3_error * sigmoid_prime(l3)
l2_error = l3_delta.dot(syn2.T)
l2_delta = l2_error * sigmoid_prime(l2)
l1_error = l2_delta.dot(syn1.T)
l1_delta = l1_error * sigmoid_prime(l1)
syn2 += l2.T.dot(l3_delta)
syn1 += l1.T.dot(l2_delta)
syn0 += l0.T.dot(l1_delta)
b0 += l1_delta.mean(axis=0)
b1 += l2_delta.mean(axis=0)
b2 += l3_delta.mean(axis=0)
def predict(data):
l0 = [data]
l1 = sigmoid(np.dot(l0, syn0) + b0)
l2 = sigmoid(np.dot(l1, syn1) + b1)
l3 = sigmoid(np.dot(l2, syn2) + b2)
return np.argmax(l3)
print("Output after training: ")
print(l3)
for i, el in enumerate(l3):
print(labels[0][i], "=", np.argmax(el), " predictions: ", el)
testing_images, testing_labels = mndata.load_testing()
correct = 0.0
for i, (image, label) in enumerate(zip(testing_images, testing_labels)):
prediction = predict(image)
if label == prediction:
correct += 1.0
correct_rate = correct / (i + 1.0)
print("{} = {} (correct {}%)".format(label, prediction, 100 * correct_rate))
with open('log/' + str(datetime.now()), 'a') as f:
with open(__file__, 'r') as myself:
print(myself.read(), file=f)
print("", file=f)
print("#### answers:", file=f)
print("argv =", sys.argv, file=f)
print("correct_rate =", correct_rate, file=f)
print("SIZES =", SIZES, file=f)
print("syn0 =", syn0, file=f)
print("syn1 =", syn1, file=f)
print("syn2 =", syn2, file=f)
print("b0 =", b0, file=f)
print("b1 =", b1, file=f)
print("b2 =", b2, file=f)
#### answers:
argv = ['./main.py', '83', '20', '26', '7']
correct_rate = 0.1827
SIZES = [784, 20, 26, 10]
syn0 = [[-1.65955991e-01 4.40648987e-01 -9.99771250e-01 -3.95334855e-01
-7.06488218e-01 -8.15322810e-01 -6.27479577e-01 -3.08878546e-01
-2.06465052e-01 7.76334680e-02 -1.61610971e-01 3.70439001e-01
-5.91095501e-01 7.56234873e-01 -9.45224814e-01 3.40935020e-01
-1.65390395e-01 1.17379657e-01 -7.19226123e-01 -6.03797022e-01]
[ 6.01489137e-01 9.36523151e-01 -3.73151644e-01 3.84645231e-01
7.52778305e-01 7.89213327e-01 -8.29911577e-01 -9.21890434e-01
-6.60339161e-01 7.56285007e-01 -8.03306332e-01 -1.57784750e-01
9.15779060e-01 6.63305699e-02 3.83754228e-01 -3.68968738e-01
3.73001855e-01 6.69251344e-01 -9.63423445e-01 5.00288630e-01]
[ 9.77722178e-01 4.96331309e-01 -4.39112016e-01 5.78558657e-01
-7.93547987e-01 -1.04212948e-01 8.17191006e-01 -4.12771703e-01
-4.24449323e-01 -7.39942856e-01 -9.61266084e-01 3.57671066e-01
-5.76743768e-01 -4.68906681e-01 -1.68536814e-02 -8.93274910e-01
1.48235211e-01 -7.06542850e-01 1.78611074e-01 3.99516720e-01]
[-7.95331142e-01 -1.71888024e-01 3.88800315e-01 -1.71641461e-01
-9.00093082e-01 7.17928118e-02 3.27589290e-01 2.97782241e-02
8.89189512e-01 1.73110081e-01 8.06803831e-01 -7.25050592e-01
-7.21447305e-01 6.14782577e-01 -2.04646326e-01 -6.69291606e-01
8.55017161e-01 -3.04468281e-01 5.01624206e-01 4.51995971e-01]
[ 7.66612182e-01 2.47344414e-01 5.01884868e-01 -3.02203316e-01
-4.60144216e-01 7.91772436e-01 -1.43817620e-01 9.29680094e-01
3.26882996e-01 2.43391440e-01 -7.70508054e-01 8.98978517e-01
-1.00175733e-01 1.56779229e-01 -1.83726394e-01 -5.25946040e-01
8.06759041e-01 1.47358973e-01 -9.94259346e-01 2.34289827e-01]
[-3.46710196e-01 5.41162045e-02 7.71884199e-01 -2.85460480e-01
8.17070302e-01 2.46720232e-01 -9.68357514e-01 8.58874467e-01
3.81793835e-01 9.94645701e-01 -6.55318983e-01 -7.25728501e-01
8.65190926e-01 3.93636323e-01 -8.67999655e-01 5.10926105e-01
5.07752377e-01 8.46049071e-01 4.23049517e-01 -7.51458076e-01]
[-9.60239732e-01 -9.47578026e-01 -9.43387024e-01 -5.07577865e-01
7.20055897e-01 7.76621287e-02 1.05643957e-01 6.84061785e-01
-7.51653370e-01 -4.41632642e-01 1.71518543e-01 9.39191497e-01
1.22060439e-01 -9.62705421e-01 6.01265345e-01 -5.34051452e-01
6.14210391e-01 -2.24278712e-01 7.27083709e-01 4.94243285e-01]
[ 1.12480468e-01 -7.27089549e-01 -8.80164621e-01 -7.57313089e-01
-9.10896243e-01 -7.85011742e-01 -5.48581323e-01 4.25977961e-01
1.19433964e-01 -9.74888040e-01 -8.56051441e-01 9.34552660e-01
1.36200924e-01 -5.93413531e-01 -4.95348511e-01 4.87651708e-01
-6.09141038e-01 1.62717855e-01 9.40039978e-01 6.93657603e-01]
[-5.20304482e-01 -1.24605715e-02 2.39911437e-01 6.57961799e-01
-6.86417211e-01 -9.62847596e-01 -8.59955713e-01 -2.73097781e-02
2.12658923e-01 1.37702874e-01 -3.65275181e-01 9.77232309e-01
1.59490438e-01 -2.39717655e-01 1.01896438e-01 4.90668862e-01
3.38465787e-01 -4.70160885e-01 -8.67330331e-01 -2.59831604e-01]
[ 2.59435014e-01 -5.79651980e-01 5.05511107e-01 -8.66927037e-01
-4.79369803e-01 6.09509127e-01 -6.13131435e-01 2.78921762e-01
4.93406182e-02 8.49615941e-01 -4.73406459e-01 -8.68077819e-01
4.70131927e-01 5.44356059e-01 8.15631705e-01 8.63944138e-01
-9.72096854e-01 -5.31275828e-01 2.33556714e-01 8.98032641e-01]
[ 9.00352238e-01 1.13306376e-01 8.31212700e-01 2.83132418e-01
-2.19984572e-01 -2.80186658e-02 2.08620966e-01 9.90958430e-02
8.52362853e-01 8.37466871e-01 -2.10248774e-01 9.26525057e-01
-6.52088667e-01 -7.47340961e-01 -7.29841684e-01 1.13243314e-02
-9.56950389e-01 8.95940422e-01 6.54230942e-01 -9.69962039e-01]
[-6.47607489e-01 -3.35872851e-01 -7.38006310e-01 6.18981384e-01
-3.10526695e-01 8.80214965e-01 1.64028360e-01 7.57663969e-01
6.89468891e-01 8.10784637e-01 -8.02394684e-02 9.26936320e-02
5.97207182e-01 -4.28562297e-01 -1.94929548e-02 1.98220615e-01
-9.68933449e-01 1.86962816e-01 -1.32647302e-01 6.14721058e-01]
[-3.69510394e-01 7.85777417e-01 1.55714431e-01 -6.31979597e-01
5.75858468e-01 2.24062354e-01 -8.92181456e-01 -1.59612640e-01
3.58137673e-01 8.37203556e-01 -9.99195950e-01 9.53518298e-01
-2.46839371e-01 9.47567077e-01 2.09432202e-01 6.57691616e-01
1.49423009e-01 2.56152397e-01 -4.28847437e-01 1.73666681e-01]
[ 5.00043527e-01 7.16627673e-01 5.10164377e-01 3.96114497e-01
7.28958860e-01 -3.54638006e-01 3.41577582e-01 -9.82521272e-02
-2.35794496e-01 -1.78377300e-01 -1.97040833e-01 -3.65232108e-01
2.43838736e-01 -1.39505458e-01 9.47604156e-01 3.55601783e-01
-6.02860223e-01 -1.46597981e-01 -3.13307520e-01 5.95277608e-01]
[ 7.59996577e-01 8.07683912e-01 3.25439625e-01 -4.59583476e-01
-4.95266597e-01 7.09795885e-01 5.54292926e-02 6.04322168e-01
1.44977034e-01 4.66285051e-01 3.80232549e-02 5.41767821e-01
1.37715981e-01 -6.85802428e-02 -3.14622184e-01 -8.63581303e-01
-2.44151641e-01 -8.40747845e-01 9.65634227e-01 -6.36774297e-01]
[ 6.23717395e-01 7.49923290e-01 3.76826505e-01 1.38988825e-01
-6.78057126e-01 -6.62399545e-02 -3.09655898e-01 -5.49920084e-01
1.85023738e-01 -3.75460325e-01 8.32611107e-01 8.19271050e-01
-4.85763412e-01 -7.78217399e-01 -6.14074536e-01 -8.31658642e-04
4.57171336e-01 -5.83611123e-01 -5.03932883e-01 7.03343750e-01]
[-1.68302563e-01 2.33370134e-01 -5.32667722e-01 -7.96065481e-01
3.17140339e-02 -4.57180259e-02 -6.94656712e-01 2.43612463e-01
8.80202376e-02 3.08274694e-01 -7.10908920e-01 5.03055634e-01
-5.55901720e-01 3.87036487e-02 5.70592056e-01 -9.55339144e-01
-3.51275081e-01 7.45844753e-01 6.89419215e-01 7.68811852e-02]
[ 7.33216548e-01 8.99611983e-01 6.52813995e-01 7.08230888e-01
-8.02513196e-01 3.02608665e-01 4.07033976e-01 2.20481625e-01
5.99230523e-01 -9.30857560e-01 5.40477469e-01 4.63457201e-01
-4.80603213e-01 -4.85861402e-01 2.64606635e-01 -3.09405077e-01
5.93177356e-01 -1.07707536e-01 5.65498830e-01 9.80943567e-01]
[-3.99503321e-01 -7.13988343e-01 8.02616873e-01 8.31187578e-02
9.49480742e-01 2.73208800e-01 9.87826049e-01 9.21416083e-02
5.28518678e-02 -7.29144194e-01 -2.88589658e-01 -9.47562865e-01
-6.79209641e-01 4.91274385e-01 -9.39200620e-01 -2.66913806e-01
7.24692506e-01 3.85355435e-01 3.81884284e-01 -6.22726398e-01]
[-1.16191439e-01 1.63154815e-01 9.79503415e-01 -5.92187550e-01
-5.04534196e-01 -4.75653832e-01 5.00344827e-01 -8.60493451e-02
-8.86141123e-01 1.70324812e-02 -5.76079671e-01 5.97208490e-01
-4.05337237e-01 -9.44787976e-01 1.86864899e-01 6.87680858e-01
-2.37967752e-01 4.99716621e-01 2.22829566e-02 8.19036099e-02]
[ 9.18868642e-01 6.07921783e-01 -9.35353867e-01 4.18774502e-01
-6.99970369e-02 8.95097883e-01 -5.57134531e-01 -4.65855961e-01
-8.37052070e-01 -1.42762343e-01 -7.81962472e-01 2.67573521e-01
6.05926475e-01 3.93600992e-01 5.32422762e-01 -3.15091760e-01
6.91702966e-01 -1.42462450e-01 6.48019741e-01 2.52992317e-01]
[-7.13153903e-01 -8.43226200e-01 -9.63334714e-01 -8.66550005e-01
-8.28323726e-02 -7.73316154e-01 -9.44433302e-01 5.09722963e-01
-2.10299039e-01 4.93876991e-01 -9.51903465e-02 -9.98265060e-02
-4.38549866e-02 -5.19921469e-02 6.06326684e-01 -1.95214960e-01
8.09372321e-01 -9.25877904e-01 5.47748685e-01 -7.48717238e-01]
[ 2.37027134e-01 -9.79271477e-01 7.72545652e-02 -9.93964087e-01
9.02387571e-01 8.10804067e-01 5.91933884e-01 8.30548640e-01
-7.08883538e-01 -6.84539860e-01 -6.24736654e-01 2.44991805e-01
8.11618992e-01 9.79910357e-01 4.22244918e-01 4.63600818e-01
8.18586409e-01 -1.98252535e-01 -5.00298640e-01 -6.53139658e-01]
[-7.61085899e-01 6.25221176e-01 -7.06415253e-01 -4.71405035e-01
6.38178357e-01 -3.78825496e-01 9.64834899e-01 -4.66722596e-01
6.73066899e-02 -3.71065978e-01 8.21545662e-01 -2.66886712e-01
-1.32815345e-01 2.45853846e-02 8.77772955e-01 -9.38101987e-01
4.33757327e-01 7.82037909e-01 -9.45425553e-01 4.41024945e-02]
[-3.48020376e-01 7.18978642e-01 1.17033102e-01 3.80455736e-01
-9.42930001e-02 2.56618075e-01 -4.19806297e-01 -9.81302844e-01
1.53511870e-01 -3.77111572e-01 3.45351970e-02 8.32811706e-01
-1.47050423e-01 -5.05207927e-01 -2.57412477e-01 8.63722233e-01
8.73736763e-01 6.88659897e-01 8.40413029e-01 -5.44199420e-01]
[-8.25035581e-01 -5.45380527e-01 -3.71246768e-01 -6.50468247e-01
2.14188324e-01 -1.72827170e-01 6.32703024e-01 -6.29739203e-01
4.03753060e-01 -5.19288750e-01 1.48438178e-01 -3.02024806e-01
-8.86071201e-01 -5.42372658e-01 3.28205111e-01 -5.49981328e-03
3.80319681e-02 -6.50559700e-01 1.41431703e-01 9.93506850e-01]
[ 6.33670218e-01 1.88745248e-01 9.51978137e-01 8.03125169e-01
1.91215867e-01 -9.35147349e-01 -8.12845808e-01 -8.69256570e-01
-9.65337026e-02 -2.49130334e-01 9.50700069e-01 -6.64033414e-01
9.45575184e-01 5.34949738e-01 6.48475679e-01 2.65231634e-01
3.37465540e-01 -4.62353330e-02 -9.73727286e-01 -2.93987829e-01]
[-1.58563970e-02 4.60182422e-01 -6.27433145e-02 -8.51901678e-02
-7.24674518e-01 -9.78222532e-01 5.16556521e-01 -3.60094324e-01
9.68766900e-01 -5.59531548e-01 -3.22583949e-01 4.77922713e-02
5.09782914e-01 -7.22844322e-02 -7.50354914e-01 -3.74997243e-01
9.03833940e-03 3.47698016e-01 5.40299913e-01 -7.39328438e-01]
[-9.54169737e-01 3.81646444e-02 6.19977421e-01 -9.74792466e-01
3.44939689e-01 3.73616453e-01 -1.01506493e-01 8.29577373e-01
2.88722170e-01 -9.89520325e-01 -3.11431090e-02 7.18635612e-01
6.60799140e-01 2.98308394e-01 3.47396848e-01 1.56999160e-01
-4.51760450e-01 1.21059981e-01 3.43459570e-01 -2.95140740e-01]
[ 7.11656735e-01 -6.09925028e-01 4.94641621e-01 -4.20794508e-01
5.47598574e-01 -1.44525341e-01 6.15396818e-01 -2.92930275e-01
-5.72613525e-01 5.34569017e-01 -3.82716105e-01 4.66490135e-01
4.88946306e-01 -5.57206598e-01 -5.71775726e-01 -6.02104153e-01
-7.14963324e-01 -2.45834802e-01 -9.46744231e-01 -7.78159262e-01]
[ 3.49128048e-01 5.99553074e-01 -8.38940946e-01 -5.36595379e-01
-5.84748676e-01 8.34667126e-01 4.22629036e-01 1.07769222e-01
-3.90964024e-01 6.69708095e-01 -1.29388085e-01 8.46912430e-01
4.12103609e-01 -4.39373841e-02 -7.47579793e-01 9.52087101e-01
-6.80332699e-01 -5.94795750e-01 -1.37636490e-01 -1.91596188e-01]
[-7.06497038e-01 4.58637839e-01 -6.22509866e-01 2.87791289e-01
5.08611901e-01 -5.78535216e-01 2.01908496e-01 4.97856750e-01
2.76437421e-01 1.94254606e-01 -4.09035429e-01 4.63212942e-01
8.90616880e-01 -1.48877219e-01 5.64363634e-01 -8.87717921e-01
6.70543205e-01 -6.15499966e-01 -2.09806262e-01 -3.99837908e-01]
[-8.39792712e-01 8.09262006e-01 -2.59691645e-01 6.13948770e-02
-1.17674682e-02 -7.35677716e-01 -5.87091882e-01 -8.47622382e-01
1.58433999e-02 -4.76900896e-01 -2.85876782e-01 -7.83869343e-01
5.75103679e-01 -7.86832246e-01 9.71417647e-01 -6.45677671e-01
1.44810225e-01 -9.10309331e-01 5.74232579e-01 -6.20788104e-01]
[ 5.58079568e-02 4.80155086e-01 -7.00137030e-01 1.02174348e-01
-5.66765583e-01 5.18392099e-01 4.45830387e-01 -6.46901931e-01
7.23933115e-01 -9.60449801e-01 7.20473995e-01 1.17807622e-01
-1.93559056e-01 5.17493862e-01 4.33858003e-01 9.74652350e-01
-4.43829903e-01 -9.92412655e-01 8.67805217e-01 7.15794209e-01]
[ 4.57701755e-01 3.33775658e-02 4.13912490e-01 5.61059114e-01
-2.50248113e-01 5.40645051e-01 5.01248638e-01 2.26422423e-01
-1.96268152e-01 3.94616039e-01 -9.93774284e-01 5.49793293e-01
7.92833205e-01 -5.21368585e-01 -7.58465631e-01 -5.59432024e-01
-3.95806537e-01 7.66057017e-01 8.63328605e-02 -4.26576701e-01]
[-3.42881096e+03 -3.23801317e+03 -1.24776936e+03 -3.44795683e+03
-3.27408337e+03 -3.43381477e+03 -3.31742412e+03 -3.46535455e+03
-3.26765327e+03 -3.41701109e+03 -3.24255613e+03 -3.47443225e+03
-3.23684078e+03 -3.23245007e+03 -3.29215542e+03 -3.47096492e+03
-3.42415463e+03 -3.28691436e+03 -3.45905405e+03 -3.27597222e+03]
[-1.16623538e+04 -1.10133473e+04 -4.24542625e+03 -1.17280838e+04
-1.11380037e+04 -1.16813269e+04 -1.12872936e+04 -1.17893636e+04
-1.11152319e+04 -1.16248427e+04 -1.10291181e+04 -1.18202705e+04
-1.10096492e+04 -1.09980282e+04 -1.12019497e+04 -1.18076501e+04
-1.16498775e+04 -1.11814123e+04 -1.17679532e+04 -1.11432082e+04]
[-2.51350781e+04 -2.75746427e+04 -1.16017795e+04 -2.54430771e+04
-2.75380230e+04 -2.53387577e+04 -2.75627331e+04 -2.54011646e+04
-2.75045881e+04 -2.52098759e+04 -2.75521275e+04 -2.53182073e+04
-2.74257198e+04 -2.72872825e+04 -2.78315174e+04 -2.53709954e+04
-2.53116801e+04 -2.68933892e+04 -2.55001754e+04 -2.76889856e+04]
[-4.60748644e+04 -5.44700128e+04 -2.76405478e+04 -4.67680803e+04
-5.42413772e+04 -4.65440271e+04 -5.41736423e+04 -4.65861416e+04
-5.41637441e+04 -4.63121752e+04 -5.44274271e+04 -4.63101470e+04
-5.41144367e+04 -5.38960058e+04 -5.47448710e+04 -4.64285408e+04
-4.65377327e+04 -5.20708092e+04 -4.67637106e+04 -5.45033943e+04]
[-6.63837078e+04 -7.96793928e+04 -4.14376960e+04 -6.78483946e+04
-7.88050748e+04 -6.73782202e+04 -7.83027670e+04 -6.74407264e+04
-7.86769533e+04 -6.70141514e+04 -7.93595902e+04 -6.65652983e+04
-7.88754126e+04 -7.80221861e+04 -8.02557036e+04 -6.69528135e+04
-6.75964611e+04 -7.61073212e+04 -6.79132283e+04 -7.97643582e+04]
[-5.28716233e+04 -6.13812035e+04 -3.52647936e+04 -5.37922827e+04
-6.11539494e+04 -5.35129660e+04 -6.08931570e+04 -5.35453707e+04
-6.08729881e+04 -5.31980803e+04 -6.12610058e+04 -5.30755768e+04
-6.08546411e+04 -6.05831661e+04 -6.17760330e+04 -5.32761487e+04
-5.36240420e+04 -5.89478301e+04 -5.38468633e+04 -6.14961060e+04]
[-8.08279083e+04 -9.25916950e+04 -5.56487269e+04 -8.14732588e+04
-9.32567876e+04 -8.12853571e+04 -9.35381620e+04 -8.14672466e+04
-9.28525216e+04 -8.09120311e+04 -9.28289926e+04 -8.15411491e+04
-9.24105895e+04 -9.28203495e+04 -9.29828663e+04 -8.15328683e+04
-8.10438124e+04 -8.89571731e+04 -8.13330198e+04 -9.27489567e+04]
[-1.36030000e+05 -1.67764420e+05 -6.85049808e+04 -1.37425206e+05
-1.67817350e+05 -1.37314581e+05 -1.67463020e+05 -1.37043403e+05
-1.67696625e+05 -1.36771190e+05 -1.68126007e+05 -1.36999565e+05
-1.67329585e+05 -1.67447919e+05 -1.67931488e+05 -1.37187596e+05
-1.36720338e+05 -1.58555639e+05 -1.37159077e+05 -1.67616336e+05]
[-1.17317164e+05 -1.44863399e+05 -4.51507950e+04 -1.19127185e+05
-1.43972143e+05 -1.18944438e+05 -1.43426169e+05 -1.18553287e+05
-1.44112823e+05 -1.18361213e+05 -1.44920096e+05 -1.18014906e+05
-1.43982425e+05 -1.43480142e+05 -1.45128958e+05 -1.18356505e+05
-1.18543701e+05 -1.37055616e+05 -1.19145299e+05 -1.44710330e+05]
[-1.19692573e+05 -1.54208598e+05 -6.72630465e+04 -1.22622442e+05
-1.51949258e+05 -1.22040980e+05 -1.50543887e+05 -1.21546145e+05
-1.52039548e+05 -1.21281046e+05 -1.53776919e+05 -1.20059298e+05
-1.52469696e+05 -1.51062065e+05 -1.54692686e+05 -1.20821187e+05
-1.22055368e+05 -1.44951538e+05 -1.22640685e+05 -1.53726512e+05]
[-7.20700919e+04 -8.26160169e+04 -4.39772598e+04 -7.31751622e+04
-8.24957285e+04 -7.27654319e+04 -8.27180416e+04 -7.30934452e+04
-8.23236482e+04 -7.23802413e+04 -8.25893998e+04 -7.26773235e+04
-8.21010064e+04 -8.19019903e+04 -8.31619615e+04 -7.27907610e+04
-7.27749826e+04 -7.95483568e+04 -7.31175648e+04 -8.27607074e+04]
[-6.99744855e+04 -7.61087249e+04 -4.32473423e+04 -7.04719273e+04
-7.68314742e+04 -7.01741332e+04 -7.76480608e+04 -7.06344930e+04
-7.65442521e+04 -6.98634222e+04 -7.63402834e+04 -7.07253128e+04
-7.60160295e+04 -7.64519222e+04 -7.65595203e+04 -7.06012911e+04
-7.00457968e+04 -7.39391300e+04 -7.03716712e+04 -7.63781776e+04]
[-7.66447857e+04 -8.55698338e+04 -4.81556692e+04 -7.71085870e+04
-8.64443360e+04 -7.68511132e+04 -8.73531483e+04 -7.72825006e+04
-8.61642720e+04 -7.65342489e+04 -8.59270292e+04 -7.75058942e+04
-8.55368326e+04 -8.62158775e+04 -8.58649136e+04 -7.73254105e+04
-7.66132148e+04 -8.25054734e+04 -7.69224378e+04 -8.57363918e+04]
[-5.21306795e+04 -5.77726718e+04 -3.10875213e+04 -5.25731586e+04
-5.81873121e+04 -5.23439478e+04 -5.86978682e+04 -5.26433830e+04
-5.79823908e+04 -5.21378200e+04 -5.78891554e+04 -5.26172313e+04
-5.76841451e+04 -5.79024875e+04 -5.81194360e+04 -5.26111662e+04
-5.22443138e+04 -5.59271228e+04 -5.25062814e+04 -5.79480176e+04]
[-1.72914349e+04 -1.92123629e+04 -8.32643721e+03 -1.76099879e+04
-1.91209444e+04 -1.74641653e+04 -1.91780068e+04 -1.75810951e+04
-1.90661600e+04 -1.73903350e+04 -1.91345196e+04 -1.73888233e+04
-1.90804988e+04 -1.89126857e+04 -1.94339466e+04 -1.74772037e+04
-1.75113232e+04 -1.86910861e+04 -1.76270063e+04 -1.92946306e+04]
[-1.45128427e+04 -1.55528111e+04 -8.46351291e+03 -1.46628674e+04
-1.56910101e+04 -1.45711544e+04 -1.58793777e+04 -1.46824832e+04
-1.55839235e+04 -1.45078719e+04 -1.55512342e+04 -1.46259883e+04
-1.55288682e+04 -1.55766525e+04 -1.57040069e+04 -1.46468763e+04
-1.45860412e+04 -1.51879600e+04 -1.46534976e+04 -1.56232423e+04]
[-1.35025334e+04 -1.41418022e+04 -9.82402522e+03 -1.34991150e+04
-1.45006753e+04 -1.34625335e+04 -1.48179264e+04 -1.35642269e+04
-1.43548107e+04 -1.34029296e+04 -1.42340693e+04 -1.36504528e+04
-1.42114341e+04 -1.44891239e+04 -1.41953327e+04 -1.35936949e+04
-1.34275154e+04 -1.37799477e+04 -1.34560858e+04 -1.41913152e+04]
[-9.13418124e-01 -2.71185137e-02 -5.21177912e-01 9.04947563e-01
8.87785256e-01 2.27868005e-01 9.46974795e-01 -3.10277313e-01
7.95701435e-01 -1.30810053e-01 -5.28370726e-01 8.81655926e-01
3.68436102e-01 -8.70176829e-01 7.40849714e-01 4.02760589e-01
2.09853746e-01 4.64749798e-01 -4.93121915e-01 2.00977911e-01]
[ 6.29238363e-01 -8.91772679e-01 -7.38978657e-01 6.84891620e-01
2.36691739e-01 6.25756210e-02 -5.03418542e-01 -4.09842850e-01
7.45372330e-01 -1.56668130e-01 -8.71139489e-01 7.93970139e-01
-5.93238334e-01 6.52455071e-01 7.63541246e-01 -2.64985104e-02
1.96929386e-01 5.45349130e-02 2.49642588e-01 7.10083443e-01]
[-4.35721103e-01 7.67511016e-01 1.35380660e-01 -7.69793918e-01
-5.45997670e-01 1.91964771e-01 -5.21107526e-01 -7.37168679e-01
-6.76304572e-01 6.89745036e-01 2.04367308e-01 9.27134174e-01
-3.08641573e-01 1.91250196e-01 1.97970578e-01 2.31408574e-01
-8.81645586e-01 5.00634369e-01 8.96418996e-01 6.93581144e-02]
[-6.14887958e-01 5.05851830e-01 -9.85362061e-01 -3.43487793e-01
8.35212695e-01 1.76734666e-01 7.10380568e-01 2.09344105e-01
6.45156305e-01 7.58967047e-01 -3.58027251e-01 -7.54090457e-01
4.42606688e-01 -1.19305826e-01 -7.46528582e-01 1.79647296e-01
-9.27863371e-01 -5.99635767e-01 5.76602379e-01 -9.75806480e-01]
[-3.93308657e-01 -9.57248078e-01 9.94969985e-01 1.64059953e-01
-4.13247443e-01 8.57898924e-01 1.42388471e-02 -9.06155449e-02
1.75743013e-01 -4.71724712e-01 -3.89423401e-01 -2.56690847e-01
-5.11104001e-01 1.69094532e-01 3.91692268e-01 -8.56105560e-01
9.42166639e-01 5.06141312e-01 6.12326326e-01 5.03280808e-01]
[-8.39878045e-01 -3.66074340e-02 -1.08654087e-01 3.44945301e-01
-1.02525482e-01 4.08626797e-01 3.63290675e-01 3.94297058e-01
2.37201485e-01 -6.98038533e-01 5.21604913e-01 5.62091644e-01
8.08205972e-01 -5.32462615e-01 -6.46642214e-01 -2.17801754e-01
-3.58870692e-01 6.30953858e-01 2.27051799e-01 5.20003505e-01]
[-1.44669801e-01 -8.01118874e-01 -7.69929976e-01 -2.53185737e-01
-6.12304465e-01 6.41492997e-01 1.99272017e-01 3.77690518e-01
-1.77800774e-02 -8.23652638e-01 -5.29844727e-01 -7.67958382e-02
-6.02816994e-01 -9.49047528e-01 4.58795397e-01 4.49833494e-01
-3.39216507e-01 6.86988252e-01 -1.43115048e-01 7.29372290e-01]
[ 3.14130849e-01 1.62071315e-01 -5.98545024e-01 5.90932210e-02
7.88864837e-01 -3.90012048e-01 7.41891218e-01 8.17490546e-01
-3.40310875e-01 3.66148733e-01 7.98441899e-01 -8.48606236e-01
7.57175726e-01 -6.18321273e-01 6.99537820e-01 3.34237577e-01
-3.11321609e-01 -6.97248860e-01 2.70741923e-01 6.95576087e-01]
[-2.11524722e+03 -2.47184293e+03 -7.85368972e+02 -2.18889588e+03
-2.41167263e+03 -2.16025370e+03 -2.38062895e+03 -2.17220814e+03
-2.40900986e+03 -2.14814518e+03 -2.44032904e+03 -2.11459969e+03
-2.43321037e+03 -2.36107135e+03 -2.51649575e+03 -2.14241961e+03
-2.18034407e+03 -2.39580924e+03 -2.19670994e+03 -2.48475499e+03]
[-7.14801574e+02 -8.27533110e+02 -2.95924280e+02 -7.32317325e+02
-8.14667661e+02 -7.25888258e+02 -8.08985837e+02 -7.28607496e+02
-8.14648182e+02 -7.22035587e+02 -8.21079795e+02 -7.16112014e+02
-8.18959870e+02 -8.00761250e+02 -8.40467461e+02 -7.24044892e+02
-7.28774793e+02 -8.01419384e+02 -7.34931670e+02 -8.32214191e+02]
[-7.73438423e+03 -8.78287455e+03 -4.66956675e+03 -7.80321652e+03
-8.82743332e+03 -7.76820312e+03 -8.89557634e+03 -7.81195893e+03
-8.80862404e+03 -7.73738956e+03 -8.80308934e+03 -7.80931200e+03
-8.76391182e+03 -8.79141665e+03 -8.82575923e+03 -7.80179506e+03
-7.75217997e+03 -8.45275859e+03 -7.78544178e+03 -8.79791288e+03]
[-4.57038109e+03 -3.65812159e+03 -7.00998487e+03 -4.48746635e+03
-3.88210888e+03 -4.57144369e+03 -3.99626810e+03 -4.59729790e+03
-3.81524622e+03 -4.47494764e+03 -3.70758369e+03 -4.70809302e+03
-3.65125017e+03 -3.84186772e+03 -3.66132927e+03 -4.59214524e+03
-4.52327984e+03 -3.82129807e+03 -4.51037085e+03 -3.66806611e+03]
[-1.02833532e+05 -1.19878471e+05 -6.13912953e+04 -1.04302410e+05
-1.19723709e+05 -1.03927647e+05 -1.19431853e+05 -1.03824867e+05
-1.19204087e+05 -1.03309763e+05 -1.19780408e+05 -1.03290785e+05
-1.19083057e+05 -1.18916962e+05 -1.20567334e+05 -1.03600697e+05
-1.03897304e+05 -1.14941581e+05 -1.04360226e+05 -1.19936487e+05]
[-2.55237443e+05 -2.98698434e+05 -1.57483252e+05 -2.59157933e+05
-2.97819500e+05 -2.57963416e+05 -2.97164863e+05 -2.58043995e+05
-2.96926885e+05 -2.56501059e+05 -2.98414889e+05 -2.56455656e+05
-2.96670440e+05 -2.95749302e+05 -3.00444423e+05 -2.57244413e+05
-2.58064131e+05 -2.86242545e+05 -2.59207900e+05 -2.98899213e+05]
[-4.03468718e+05 -4.77971211e+05 -2.38541149e+05 -4.10511968e+05
-4.75051859e+05 -4.08291032e+05 -4.73750013e+05 -4.08481365e+05
-4.74116567e+05 -4.06091817e+05 -4.77065513e+05 -4.05050021e+05
-4.74246745e+05 -4.71606706e+05 -4.80857347e+05 -4.06681893e+05
-4.08633680e+05 -4.57051220e+05 -4.10693302e+05 -4.78181809e+05]
[-5.77979433e+05 -6.90549505e+05 -3.56948019e+05 -5.89417665e+05
-6.84875706e+05 -5.85923093e+05 -6.81547020e+05 -5.86060788e+05
-6.83586931e+05 -5.82597659e+05 -6.88664219e+05 -5.79891191e+05
-6.84439010e+05 -6.79245453e+05 -6.95043004e+05 -5.82779869e+05
-5.87023161e+05 -6.59623435e+05 -5.89748220e+05 -6.90789249e+05]
[-9.08689683e+05 -1.07871392e+06 -6.19073677e+05 -9.25356705e+05
-1.07159248e+06 -9.20184817e+05 -1.06695585e+06 -9.20536530e+05
-1.06938606e+06 -9.14982793e+05 -1.07639560e+06 -9.12253392e+05
-1.07002487e+06 -1.06296597e+06 -1.08543675e+06 -9.16100045e+05
-9.21770333e+05 -1.03159679e+06 -9.25666992e+05 -1.07937251e+06]
[-1.25286216e+06 -1.46025615e+06 -8.67432477e+05 -1.27224585e+06
-1.45638530e+06 -1.26589327e+06 -1.45371577e+06 -1.26805626e+06
-1.45283067e+06 -1.25899354e+06 -1.45907856e+06 -1.26028599e+06
-1.45097608e+06 -1.44545044e+06 -1.46919540e+06 -1.26364219e+06
-1.26680923e+06 -1.40125387e+06 -1.27186315e+06 -1.46212780e+06]
[-1.70302419e+06 -1.97618743e+06 -1.10562276e+06 -1.72798277e+06
-1.97271173e+06 -1.72000031e+06 -1.97113093e+06 -1.72354883e+06
-1.96865451e+06 -1.71095493e+06 -1.97563763e+06 -1.71478498e+06
-1.96482674e+06 -1.95877964e+06 -1.98817521e+06 -1.71866861e+06
-1.71981590e+06 -1.89802369e+06 -1.72728004e+06 -1.97913020e+06]
[-2.21125086e+06 -2.52818018e+06 -1.31791448e+06 -2.24482375e+06
-2.52309254e+06 -2.23337288e+06 -2.52262587e+06 -2.24007926e+06
-2.51763256e+06 -2.22199371e+06 -2.52633836e+06 -2.22647579e+06
-2.51327522e+06 -2.50355163e+06 -2.54520128e+06 -2.23195809e+06
-2.23466947e+06 -2.43760633e+06 -2.24416932e+06 -2.53324891e+06]
[-2.85784492e+06 -3.24327754e+06 -1.65733574e+06 -2.89777643e+06
-3.23919999e+06 -2.88339567e+06 -3.24011968e+06 -2.89336301e+06
-3.23264031e+06 -2.87010349e+06 -3.24134233e+06 -2.87845959e+06
-3.22686205e+06 -3.21413920e+06 -3.26540875e+06 -2.88468000e+06
-2.88436339e+06 -3.13349629e+06 -2.89666408e+06 -3.25102040e+06]
[-2.90554339e+06 -3.26642987e+06 -1.71352208e+06 -2.94102217e+06
-3.26877153e+06 -2.92706323e+06 -3.27397466e+06 -2.93935819e+06
-3.26209009e+06 -2.91421735e+06 -3.26673022e+06 -2.92904551e+06
-3.25321733e+06 -3.24421188e+06 -3.28856249e+06 -2.93300833e+06
-2.92662954e+06 -3.16194664e+06 -2.93906534e+06 -3.27560072e+06]
[-2.49390686e+06 -2.78352710e+06 -1.47021529e+06 -2.51869604e+06
-2.79347630e+06 -2.50791634e+06 -2.80366971e+06 -2.51978966e+06
-2.78722117e+06 -2.49742564e+06 -2.78708094e+06 -2.51666246e+06
-2.77579233e+06 -2.77497383e+06 -2.80061689e+06 -2.51733992e+06
-2.50521607e+06 -2.69657541e+06 -2.51597212e+06 -2.79175262e+06]
[-1.74366933e+06 -1.93858340e+06 -1.06126212e+06 -1.75757374e+06
-1.95115369e+06 -1.75099702e+06 -1.96261032e+06 -1.75988725e+06
-1.94638385e+06 -1.74374159e+06 -1.94333973e+06 -1.76160634e+06
-1.93584898e+06 -1.94033335e+06 -1.94963574e+06 -1.76015830e+06
-1.74735303e+06 -1.87787378e+06 -1.75501632e+06 -1.94449937e+06]
[-8.82024109e+05 -9.70191732e+05 -5.69108988e+05 -8.88905458e+05
-9.78274737e+05 -8.85393871e+05 -9.85935181e+05 -8.90820660e+05
-9.75437247e+05 -8.81351441e+05 -9.73176071e+05 -8.91942160e+05
-9.68865166e+05 -9.72970243e+05 -9.75777045e+05 -8.90557680e+05
-8.83641209e+05 -9.41310592e+05 -8.87403467e+05 -9.73440534e+05]
[-4.03576454e+05 -4.38702136e+05 -2.67947590e+05 -4.06106624e+05
-4.43639626e+05 -4.04714355e+05 -4.47439687e+05 -4.07234274e+05
-4.41712492e+05 -4.02864889e+05 -4.40241869e+05 -4.08119427e+05
-4.38452040e+05 -4.41242710e+05 -4.41206212e+05 -4.07268802e+05
-4.03871257e+05 -4.26479180e+05 -4.05423284e+05 -4.40414853e+05]
[-1.31512068e+05 -1.38499635e+05 -9.62498669e+04 -1.32114024e+05
-1.40678446e+05 -1.31690223e+05 -1.41973673e+05 -1.32604932e+05
-1.39747332e+05 -1.31050308e+05 -1.39056602e+05 -1.32981197e+05
-1.38536740e+05 -1.39715828e+05 -1.39408635e+05 -1.32627933e+05
-1.31526304e+05 -1.35610266e+05 -1.31928506e+05 -1.39273928e+05]
[-4.68068728e+04 -5.36638314e+04 -3.66016959e+04 -4.72244586e+04
-5.40897482e+04 -4.71014370e+04 -5.42152138e+04 -4.71226178e+04
-5.36831055e+04 -4.68461670e+04 -5.37790422e+04 -4.70712815e+04
-5.34717477e+04 -5.38394923e+04 -5.38192803e+04 -4.70778316e+04
-4.70586172e+04 -5.14362817e+04 -4.71782417e+04 -5.37182895e+04]
[-1.15313981e+04 -1.46512141e+04 -8.22433811e+03 -1.17350090e+04
-1.45383111e+04 -1.16968617e+04 -1.44087891e+04 -1.16275110e+04
-1.44874954e+04 -1.16348599e+04 -1.46254590e+04 -1.15295213e+04
-1.45230472e+04 -1.44677436e+04 -1.46775034e+04 -1.15914634e+04
-1.16961579e+04 -1.37754625e+04 -1.17383147e+04 -1.46124380e+04]
[ 6.92109198e-01 8.55161885e-01 3.20915455e-01 1.56347837e-01
-2.02568913e-01 9.33224985e-01 -6.91841656e-01 7.90173617e-01
-3.77973864e-01 9.69781793e-02 3.64132517e-01 -5.27060697e-01
-6.64526630e-01 1.69640269e-02 5.83727751e-01 3.84828924e-01
-7.62053326e-01 8.01484430e-01 -4.05248659e-02 8.93353358e-01]
[ 1.06867412e-01 -8.30396357e-01 -5.95073929e-01 7.08475946e-01
4.11854734e-01 7.89879040e-01 -3.41707996e-01 5.60027933e-02
3.00796265e-01 1.88581707e-01 -5.37074129e-01 -1.46357301e-01
-5.03777072e-01 6.91229924e-01 9.73354890e-01 -8.66858394e-01
4.27856065e-01 -3.39768896e-01 2.50870757e-01 -4.83740701e-01]
[ 3.02015219e-01 -2.57705631e-01 -4.10358241e-01 8.23526347e-01
8.84997748e-01 2.27100053e-01 -5.71064438e-01 8.78837742e-01
5.00907093e-01 5.02179615e-01 -5.76557330e-01 6.60313052e-01
-5.19809692e-01 2.63241491e-01 4.21479140e-01 4.84766859e-01
-2.19470591e-01 5.19650793e-01 8.05871804e-01 1.74840038e-01]
[-8.19180569e-01 -7.42048032e-01 -7.89474947e-01 -6.54545073e-01
-7.47138219e-01 5.56601780e-01 -9.21176976e-01 -5.16883165e-01
7.58132803e-01 9.47037722e-01 2.10844015e-01 9.52476529e-01
-9.13096917e-01 8.97145537e-01 -3.77407835e-01 5.97945681e-01
6.21258207e-01 7.19997183e-01 -8.28983782e-02 8.61288784e-01]
[-4.84214031e-01 8.68890985e-01 2.38239267e-01 9.70889830e-01
-9.34712268e-01 4.50333318e-01 1.31108471e-01 -1.51519052e-02
-4.81563749e-01 -3.46338630e-01 -5.01075587e-01 -5.61464179e-01
5.99321675e-01 4.79001180e-03 -8.33620223e-01 5.53968384e-01
6.72981522e-02 4.78775575e-01 3.07873863e-02 -2.00108152e-01]
[ 9.72493565e-01 -9.43514760e-01 8.65527816e-01 8.61709936e-01
-2.18162577e-01 -5.71070258e-01 2.38426596e-01 -6.44055329e-01
6.06416389e-01 -4.92132288e-01 -4.18387690e-01 8.31831580e-01
8.05833667e-01 7.07617835e-02 7.25677961e-01 -2.94934862e-01
9.95768556e-01 -1.32620521e-01 -4.10375976e-01 -9.16851532e-01]
[ 9.79413908e-01 -7.02247382e-02 4.69170028e-01 2.81615248e-01
4.46186799e-01 -8.97778192e-01 8.40090811e-01 8.53682436e-01
1.03990054e-01 9.27831777e-01 -4.38088926e-01 2.04293254e-01
-2.07074620e-01 2.56046464e-01 -3.98735423e-01 6.38716769e-01
-8.60428043e-01 -9.16244859e-01 -9.01207231e-01 -6.99089943e-01]
[ 4.48226735e+02 2.12134993e+03 -3.07470875e+03 5.72962833e+02
1.88706703e+03 5.31112317e+02 1.69606051e+03 4.61289255e+02
1.91124132e+03 5.61707651e+02 2.03441725e+03 3.44787028e+02
2.07448851e+03 1.86577479e+03 2.15727069e+03 4.57892673e+02
5.73452106e+02 1.74472453e+03 5.98269132e+02 2.10158936e+03]
[-4.75194957e+04 -5.77978177e+04 -3.66431621e+04 -4.81026462e+04
-5.75843971e+04 -4.80372612e+04 -5.72035789e+04 -4.78385845e+04
-5.74698896e+04 -4.77089630e+04 -5.78026593e+04 -4.76589609e+04
-5.73578574e+04 -5.72577925e+04 -5.78948451e+04 -4.77371189e+04
-4.79649409e+04 -5.48470947e+04 -4.80818432e+04 -5.76695114e+04]
[-1.34302296e+05 -1.67768093e+05 -8.67844869e+04 -1.35784148e+05
-1.67084083e+05 -1.35692172e+05 -1.66053922e+05 -1.34787971e+05
-1.66770369e+05 -1.34890875e+05 -1.67852215e+05 -1.34538804e+05
-1.66611584e+05 -1.66645105e+05 -1.67891275e+05 -1.34888792e+05
-1.35132850e+05 -1.58060133e+05 -1.35789664e+05 -1.67206437e+05]
[-2.74948758e+05 -3.52544585e+05 -1.68846379e+05 -2.79712212e+05
-3.49122812e+05 -2.78923472e+05 -3.46078879e+05 -2.76791720e+05
-3.48434879e+05 -2.77235323e+05 -3.51869537e+05 -2.74775736e+05
-3.49286865e+05 -3.47901489e+05 -3.53282985e+05 -2.76282819e+05
-2.78399089e+05 -3.30871736e+05 -2.79896435e+05 -3.51063094e+05]
[-5.92223923e+05 -7.58189098e+05 -3.28355921e+05 -6.04343643e+05
-7.48855621e+05 -6.01888788e+05 -7.41375534e+05 -5.97653564e+05
-7.47542557e+05 -5.98243153e+05 -7.55861308e+05 -5.91646516e+05
-7.50350883e+05 -7.45124384e+05 -7.60970122e+05 -5.95783852e+05
-6.01609465e+05 -7.12857004e+05 -6.05046024e+05 -7.55525095e+05]
[-1.03701381e+06 -1.35339817e+06 -5.47645089e+05 -1.06250366e+06
-1.33080538e+06 -1.05736746e+06 -1.31417906e+06 -1.04895661e+06
-1.32958143e+06 -1.05047550e+06 -1.34751832e+06 -1.03457578e+06
-1.33662441e+06 -1.32316753e+06 -1.35885026e+06 -1.04369870e+06
-1.05790012e+06 -1.26867498e+06 -1.06426607e+06 -1.34780585e+06]
[-1.69608502e+06 -2.23593491e+06 -8.40359798e+05 -1.74358798e+06
-2.19012139e+06 -1.73362905e+06 -2.15882577e+06 -1.71917086e+06
-2.18962958e+06 -1.72177406e+06 -2.22310089e+06 -1.69014323e+06
-2.20456195e+06 -2.17551939e+06 -2.24699777e+06 -1.70773706e+06
-1.73615348e+06 -2.09395790e+06 -1.74755320e+06 -2.22622346e+06]
[-2.62751530e+06 -3.44615787e+06 -1.33494381e+06 -2.70050515e+06
-3.37719387e+06 -2.68495344e+06 -3.32959653e+06 -2.66423880e+06
-3.37627322e+06 -2.66665580e+06 -3.42664284e+06 -2.61950361e+06
-3.39877071e+06 -3.35400324e+06 -3.46354525e+06 -2.64599767e+06
-2.68943626e+06 -3.23111679e+06 -2.70603309e+06 -3.43192048e+06]
[-3.74930461e+06 -4.82030722e+06 -2.01631094e+06 -3.84054571e+06
-4.74214053e+06 -3.82102379e+06 -4.68664330e+06 -3.79731844e+06
-4.73900290e+06 -3.79584238e+06 -4.79880283e+06 -3.74518100e+06
-4.76239913e+06 -4.71191983e+06 -4.84344835e+06 -3.77629196e+06
-3.82432709e+06 -4.53470148e+06 -3.84574420e+06 -4.80342925e+06]
[-5.15965660e+06 -6.51218390e+06 -2.89128790e+06 -5.27267043e+06
-6.42572317e+06 -5.24824323e+06 -6.36428435e+06 -5.22301627e+06
-6.41952255e+06 -5.21458187e+06 -6.48917875e+06 -5.16301683e+06
-6.44182113e+06 -6.38628018e+06 -6.54273435e+06 -5.19817920e+06
-5.24977031e+06 -6.14646802e+06 -5.27758302e+06 -6.49381163e+06]
[-6.78116776e+06 -8.35152423e+06 -3.82720527e+06 -6.91227111e+06
-8.26722715e+06 -6.88148150e+06 -8.20844479e+06 -6.86096955e+06
-8.25601863e+06 -6.84051183e+06 -8.32857183e+06 -6.79644475e+06
-8.27458434e+06 -8.21666614e+06 -8.39318749e+06 -6.83399500e+06
-6.88178142e+06 -7.92152202e+06 -6.91605652e+06 -8.33676034e+06]
[-8.44740012e+06 -1.02642511e+07 -4.74534397e+06 -8.60142840e+06
-1.01756352e+07 -8.56248327e+06 -1.01145079e+07 -8.54712799e+06
-1.01600045e+07 -8.51517510e+06 -1.02384055e+07 -8.47232217e+06
-1.01784341e+07 -1.01096717e+07 -1.03181573e+07 -8.51451506e+06
-8.56431643e+06 -9.76525176e+06 -8.60446455e+06 -1.02542522e+07]
[-9.19242630e+06 -1.10860292e+07 -5.17076199e+06 -9.35175934e+06
-1.10032505e+07 -9.30903048e+06 -1.09472208e+07 -9.30073549e+06
-1.09861038e+07 -9.26052224e+06 -1.10613829e+07 -9.22606723e+06
-1.10005022e+07 -1.09294957e+07 -1.11458785e+07 -9.26783268e+06
-9.31017264e+06 -1.05639774e+07 -9.35362576e+06 -1.10818206e+07]
[-8.70326009e+06 -1.03730110e+07 -4.91781001e+06 -8.84170404e+06
-1.03145055e+07 -8.80218810e+06 -1.02776474e+07 -8.80332405e+06
-1.02979563e+07 -8.75884787e+06 -1.03557688e+07 -8.74380867e+06
-1.03026753e+07 -1.02458666e+07 -1.04296118e+07 -8.77663489e+06
-8.80090869e+06 -9.90807584e+06 -8.84144178e+06 -1.03754360e+07]
[-6.84504350e+06 -8.07873682e+06 -3.94143725e+06 -6.94970881e+06
-8.04319889e+06 -6.91655732e+06 -8.02507790e+06 -6.92463935e+06
-8.02913377e+06 -6.88352638e+06 -8.06798428e+06 -6.88059045e+06
-8.02788197e+06 -7.98913464e+06 -8.12430622e+06 -6.90381943e+06
-6.91597595e+06 -7.73216093e+06 -6.94800653e+06 -8.08429978e+06]
[-4.59954770e+06 -5.42601672e+06 -2.76666402e+06 -4.66815471e+06
-5.40728661e+06 -4.64452761e+06 -5.40005236e+06 -4.65315514e+06
-5.39637788e+06 -4.62302575e+06 -5.41948606e+06 -4.62407190e+06
-5.39474104e+06 -5.37212741e+06 -5.45743738e+06 -4.63968230e+06
-4.64402020e+06 -5.19244727e+06 -4.66538476e+06 -5.43010968e+06]
[-2.48332838e+06 -2.89905620e+06 -1.60004397e+06 -2.51673809e+06
-2.89680392e+06 -2.50338968e+06 -2.89937216e+06 -2.51083897e+06
-2.88893597e+06 -2.49180983e+06 -2.89741817e+06 -2.49812468e+06
-2.88560804e+06 -2.88023626e+06 -2.91666538e+06 -2.50516656e+06
-2.50239591e+06 -2.77904114e+06 -2.51385034e+06 -2.90125635e+06]
[-1.23414249e+06 -1.42405677e+06 -8.71094594e+05 -1.24910906e+06
-1.42628726e+06 -1.24164710e+06 -1.42947629e+06 -1.24710455e+06
-1.42108476e+06 -1.23617586e+06 -1.42331889e+06 -1.24149117e+06
-1.41950264e+06 -1.41860030e+06 -1.43388156e+06 -1.24485294e+06
-1.24198604e+06 -1.36862489e+06 -1.24677635e+06 -1.42536620e+06]
[-4.96008593e+05 -5.53632664e+05 -3.97535113e+05 -5.00175862e+05
-5.57302374e+05 -4.96630665e+05 -5.60549830e+05 -5.00541062e+05
-5.54481873e+05 -4.94640102e+05 -5.53444442e+05 -4.99174703e+05
-5.53590830e+05 -5.54436776e+05 -5.58492286e+05 -5.00316793e+05
-4.97306859e+05 -5.36024914e+05 -4.98477647e+05 -5.54553584e+05]
[-1.50564744e+05 -1.67725893e+05 -1.35727939e+05 -1.51455415e+05
-1.69210359e+05 -1.50111824e+05 -1.70539501e+05 -1.51789219e+05
-1.68188424e+05 -1.49462663e+05 -1.67523192e+05 -1.51538611e+05
-1.68149205e+05 -1.68603257e+05 -1.69484694e+05 -1.51885487e+05
-1.50611241e+05 -1.62396037e+05 -1.50581359e+05 -1.67711649e+05]
[-5.07942113e+04 -5.29122386e+04 -5.15666957e+04 -5.07057198e+04
-5.40806410e+04 -5.01648900e+04 -5.50322997e+04 -5.10521846e+04
-5.35628722e+04 -4.99605406e+04 -5.29175734e+04 -5.12815038e+04
-5.34776076e+04 -5.40021545e+04 -5.37086740e+04 -5.12589448e+04
-5.04323103e+04 -5.20288283e+04 -5.02324269e+04 -5.29333319e+04]
[-3.57952184e+03 -3.90425424e+03 -2.42561673e+03 -3.58838045e+03
-3.96248614e+03 -3.57410898e+03 -4.02559643e+03 -3.59569783e+03
-3.93466833e+03 -3.56039882e+03 -3.92161665e+03 -3.60914203e+03
-3.90702510e+03 -3.95569192e+03 -3.91931145e+03 -3.59618293e+03
-3.56694030e+03 -3.77271105e+03 -3.58172385e+03 -3.91397267e+03]
[ 4.65539707e-01 -1.19324346e-01 3.26313646e-01 -5.22180090e-01
9.97198177e-01 -5.14242957e-01 8.81656829e-01 -5.65560499e-01
-4.87123079e-03 6.42353930e-01 4.33176094e-01 4.11160824e-01
-1.19118880e-01 5.08350051e-01 8.39907154e-01 -1.17296509e-01
5.59309683e-02 -8.67928832e-01 -2.18453853e-01 -6.55228673e-02]
[ 7.90275422e-01 -7.78885119e-01 4.62275206e-01 9.09423371e-02
2.13070861e-01 -9.40434112e-01 -7.06505240e-01 -4.32033549e-01
-9.90255904e-01 3.38315596e-01 7.40515898e-01 9.39366185e-02
8.63280950e-02 2.31451857e-01 -3.95636999e-01 -2.66536037e-01
1.49879455e-01 6.18433167e-01 -5.96806731e-01 -3.44951888e-01]
[ 4.85842501e-01 -3.18159502e-01 -9.04778143e-01 -6.87286143e-01
-6.12270281e-01 -9.77527488e-03 2.70249922e-01 7.60439954e-01
8.05073113e-01 -3.85678463e-01 5.06760146e-01 -4.35143939e-01
-2.62846260e-01 -4.14546876e-01 -1.72618528e-01 -5.70568609e-01
-3.62027987e-01 -7.56160372e-01 9.26036479e-01 7.96601880e-03]
[ 8.46201365e-01 4.92320282e-01 -8.45894246e-02 5.09244451e-01
2.56046157e-01 -3.92483132e-01 4.33186268e-02 4.24624391e-01
-3.89372937e-01 -9.74954326e-01 -4.63474342e-01 5.93490951e-01
8.59986178e-01 2.50662310e-01 -7.34385031e-01 5.15140718e-01
5.38106921e-02 5.07738143e-01 7.17223406e-01 8.95083102e-01]
[ 3.09075069e-01 7.08516420e-01 4.85176115e-01 4.54202377e-01
7.17581513e-01 8.46006082e-01 8.04152003e-01 -2.08499477e-01
-8.31957440e-01 6.59147437e-01 7.78631066e-02 8.41523095e-02
6.50350661e-01 -9.36031631e-01 7.55920837e-01 -9.30731997e-01
3.86389117e-01 1.74968959e-01 2.83498362e-01 -2.51839625e-01]
[ 1.12194152e+03 4.09305070e+03 2.97328511e+03 1.63325273e+03
3.45727781e+03 1.47094184e+03 3.10995056e+03 1.42829962e+03
3.56065397e+03 1.47193248e+03 3.89894842e+03 9.71650516e+02
3.83999190e+03 3.29900596e+03 4.13956077e+03 1.15869095e+03
1.67916273e+03 3.51670816e+03 1.64956164e+03 4.03806888e+03]
[ 3.63446940e+03 2.13920190e+04 7.03565817e+03 6.75128251e+03
1.74282220e+04 5.76548033e+03 1.52147075e+04 5.45566487e+03
1.80444584e+04 5.76905380e+03 2.01493691e+04 2.63889114e+03
1.98432394e+04 1.64444524e+04 2.17731980e+04 3.87623708e+03
7.06783963e+03 1.80084307e+04 6.89649220e+03 2.10797833e+04]
[-1.93256751e+05 -2.26266393e+05 -1.08753639e+05 -1.92085986e+05
-2.29219680e+05 -1.92830108e+05 -2.29844421e+05 -1.91781705e+05
-2.27790341e+05 -1.91817151e+05 -2.27265162e+05 -1.94282553e+05
-2.26243333e+05 -2.29681549e+05 -2.26485677e+05 -1.93780662e+05
-1.90560954e+05 -2.14906805e+05 -1.92081538e+05 -2.25799046e+05]
[-3.72393458e+05 -4.53478368e+05 -1.92754899e+05 -3.72794047e+05
-4.55555832e+05 -3.73497725e+05 -4.55056026e+05 -3.70787525e+05
-4.53343412e+05 -3.71402053e+05 -4.54373927e+05 -3.73372543e+05
-4.51862581e+05 -4.56131985e+05 -4.54191526e+05 -3.73687709e+05
-3.69760702e+05 -4.27866845e+05 -3.72976318e+05 -4.51774638e+05]
[-6.94055309e+05 -8.76043676e+05 -2.74425885e+05 -7.00167944e+05
-8.71997915e+05 -7.00640266e+05 -8.66639928e+05 -6.93810843e+05
-8.67854478e+05 -6.95686289e+05 -8.74457051e+05 -6.93567582e+05
-8.68237449e+05 -8.71362412e+05 -8.79027714e+05 -6.97149851e+05
-6.94587245e+05 -8.21230296e+05 -7.01745052e+05 -8.71581639e+05]
[-1.30852593e+06 -1.62885508e+06 -4.90525637e+05 -1.31749852e+06
-1.62458246e+06 -1.31913468e+06 -1.61606995e+06 -1.30699340e+06
-1.61680386e+06 -1.30942020e+06 -1.62707061e+06 -1.30899872e+06
-1.61580256e+06 -1.62395020e+06 -1.63501054e+06 -1.31506128e+06
-1.30689863e+06 -1.53131523e+06 -1.31994413e+06 -1.62080569e+06]
[-2.52660699e+06 -3.18893007e+06 -9.65438864e+05 -2.55394352e+06
-3.16802738e+06 -2.55445275e+06 -3.14478352e+06 -2.53062579e+06
-3.15602230e+06 -2.53518956e+06 -3.18206399e+06 -2.52570453e+06
-3.15934867e+06 -3.16376741e+06 -3.20178526e+06 -2.54043019e+06
-2.53551344e+06 -2.99433688e+06 -2.55845729e+06 -3.17203791e+06]
[-3.75368228e+06 -4.66022177e+06 -1.40067892e+06 -3.78311306e+06
-4.64283283e+06 -3.78838554e+06 -4.61627444e+06 -3.75519579e+06
-4.62380620e+06 -3.75749372e+06 -4.65463994e+06 -3.75808603e+06
-4.62035761e+06 -4.63963524e+06 -4.67863070e+06 -3.77519907e+06
-3.75459440e+06 -4.38662658e+06 -3.78899826e+06 -4.63548211e+06]
[-5.25749056e+06 -6.57434358e+06 -1.92407656e+06 -5.30931882e+06
-6.53436034e+06 -5.31526646e+06 -6.48666983e+06 -5.26884491e+06
-6.50872929e+06 -5.27144306e+06 -6.55923430e+06 -5.26052628e+06
-6.51181050e+06 -6.52282000e+06 -6.60172616e+06 -5.28908349e+06
-5.27318520e+06 -6.18364646e+06 -5.31889230e+06 -6.54050283e+06]
[-7.94722591e+06 -9.96889414e+06 -2.96199449e+06 -8.03176032e+06
-9.90178792e+06 -8.04273395e+06 -9.82897646e+06 -7.97701812e+06
-9.87567239e+06 -7.98326787e+06 -9.95014623e+06 -7.95902547e+06
-9.87883683e+06 -9.88147622e+06 -9.99484563e+06 -7.99591976e+06
-7.98466682e+06 -9.37328992e+06 -8.04406997e+06 -9.92570062e+06]
[-1.16896936e+07 -1.47608174e+07 -4.41923472e+06 -1.18409189e+07
-1.46312688e+07 -1.18512927e+07 -1.45141582e+07 -1.17607568e+07
-1.46108382e+07 -1.17734731e+07 -1.47293312e+07 -1.17092937e+07
-1.46262413e+07 -1.45894466e+07 -1.47853092e+07 -1.17638188e+07
-1.17841060e+07 -1.38700378e+07 -1.18595037e+07 -1.47096560e+07]
[-1.55413286e+07 -1.96847831e+07 -5.97028710e+06 -1.57605976e+07
-1.94975830e+07 -1.57674788e+07 -1.93396565e+07 -1.56569145e+07
-1.94828149e+07 -1.56740654e+07 -1.96399479e+07 -1.55726593e+07
-1.95141514e+07 -1.94306106e+07 -1.97128422e+07 -1.56446565e+07
-1.56955005e+07 -1.84965125e+07 -1.57831730e+07 -1.96309128e+07]
[-1.81285620e+07 -2.32268973e+07 -6.73939033e+06 -1.84383312e+07
-2.29435873e+07 -1.84248323e+07 -2.27270789e+07 -1.83036589e+07
-2.29334217e+07 -1.83225125e+07 -2.31466599e+07 -1.81491345e+07
-2.30074693e+07 -2.28399010e+07 -2.32706426e+07 -1.82550157e+07
-1.83707581e+07 -2.17958563e+07 -1.84646831e+07 -2.31671298e+07]
[-1.95175600e+07 -2.52843821e+07 -7.06367237e+06 -1.99048579e+07
-2.49106866e+07 -1.98695632e+07 -2.46461078e+07 -1.97449471e+07
-2.49161555e+07 -1.97645917e+07 -2.51760343e+07 -1.95280846e+07
-2.50276088e+07 -2.47798167e+07 -2.53369259e+07 -1.96613355e+07
-1.98386146e+07 -2.36941585e+07 -1.99330679e+07 -2.52196858e+07]
[-1.86450349e+07 -2.40175007e+07 -7.17088353e+06 -1.89827848e+07
-2.37097126e+07 -1.89573071e+07 -2.34975758e+07 -1.88489004e+07
-2.37238751e+07 -1.88643895e+07 -2.39393389e+07 -1.86784705e+07
-2.38059318e+07 -2.36036903e+07 -2.40509968e+07 -1.87848033e+07
-1.89168694e+07 -2.25214219e+07 -1.90031344e+07 -2.39653659e+07]
[-1.49687585e+07 -1.93067112e+07 -6.04854361e+06 -1.52362335e+07
-1.90660743e+07 -1.52140204e+07 -1.89079274e+07 -1.51326797e+07
-1.90823985e+07 -1.51446809e+07 -1.92484477e+07 -1.49971878e+07
-1.91463274e+07 -1.89875645e+07 -1.93263139e+07 -1.50815273e+07
-1.51804576e+07 -1.80947632e+07 -1.52496641e+07 -1.92683006e+07]
[-1.04541395e+07 -1.36017501e+07 -4.43362110e+06 -1.06472094e+07
-1.34234176e+07 -1.06267322e+07 -1.33102337e+07 -1.05725395e+07
-1.34391701e+07 -1.05819124e+07 -1.35587289e+07 -1.04691933e+07
-1.34905763e+07 -1.33716887e+07 -1.36115047e+07 -1.05331858e+07
-1.06055958e+07 -1.27254133e+07 -1.06532038e+07 -1.35723298e+07]
[-6.12855185e+06 -8.01765431e+06 -2.94972823e+06 -6.24681121e+06
-7.90835658e+06 -6.22689112e+06 -7.83937096e+06 -6.20107471e+06
-7.91540482e+06 -6.20447804e+06 -7.98761960e+06 -6.13105102e+06
-7.95550501e+06 -7.87694859e+06 -8.02651229e+06 -6.17529131e+06
-6.22123479e+06 -7.49827417e+06 -6.24531380e+06 -7.99888926e+06]
[-2.84984965e+06 -3.76553879e+06 -1.62418548e+06 -2.91445239e+06
-3.70352001e+06 -2.89493971e+06 -3.66898978e+06 -2.89053592e+06
-3.70420871e+06 -2.88619639e+06 -3.74127270e+06 -2.84431779e+06
-3.73760809e+06 -3.68633901e+06 -3.78041205e+06 -2.87433643e+06
-2.90202072e+06 -3.52213636e+06 -2.91014305e+06 -3.75456050e+06]
[-1.14710488e+06 -1.47589351e+06 -8.67062057e+05 -1.17360060e+06
-1.45230454e+06 -1.15691703e+06 -1.44266875e+06 -1.16547788e+06
-1.44933816e+06 -1.15599171e+06 -1.46010615e+06 -1.14109005e+06
-1.47109236e+06 -1.44534216e+06 -1.49189986e+06 -1.15866761e+06
-1.16663856e+06 -1.39394279e+06 -1.16660704e+06 -1.47040921e+06]
[-3.52831555e+05 -4.49313648e+05 -3.53977262e+05 -3.64723324e+05
-4.37892582e+05 -3.52194674e+05 -4.34139412e+05 -3.61592861e+05
-4.34283166e+05 -3.53774573e+05 -4.37671810e+05 -3.45859042e+05
-4.50561982e+05 -4.33926930e+05 -4.62790726e+05 -3.57804665e+05
-3.61522709e+05 -4.31303302e+05 -3.59443023e+05 -4.46385116e+05]
[ 9.66060445e+03 -9.81938047e+03 -7.93172921e+04 3.93973867e+03
-2.67982282e+03 1.04541575e+04 -8.31192532e+02 5.39569761e+03
-5.68335978e+02 9.48615094e+03 -2.60780057e+03 1.45157926e+04
-1.04151463e+04 -1.04542401e+03 -1.75280839e+04 8.02642742e+03
4.61759641e+03 -9.87337567e+03 6.09224892e+03 -7.92495649e+03]
[ 2.55285537e+04 3.35819526e+04 1.36603522e+04 2.54958770e+04
3.37808011e+04 2.65802458e+04 3.31419089e+04 2.53858321e+04
3.45430771e+04 2.62461311e+04 3.49395602e+04 2.63780292e+04
3.26290932e+04 3.36528214e+04 3.16488676e+04 2.52077771e+04
2.57267836e+04 3.03079737e+04 2.58945105e+04 3.38954311e+04]
[ 5.35567107e+01 9.80961577e+01 3.78282996e+02 5.64126669e+01
9.72771020e+01 6.21531634e+01 9.30096300e+01 5.56604285e+01
1.02134735e+02 5.66020543e+01 1.04919401e+02 5.64779492e+01
9.13176335e+01 9.76185790e+01 8.52885983e+01 4.90021709e+01
5.99422005e+01 7.80061363e+01 5.76390151e+01 9.75109000e+01]
[ 3.59111789e-01 -9.29852761e-01 -3.43779370e-01 4.90583746e-01
8.85615970e-01 6.05465100e-01 -5.18347581e-01 -5.34169063e-01
-6.19326411e-01 7.64995070e-01 -5.24288626e-01 5.16361247e-01
-4.77900537e-01 -9.33836313e-01 4.66895400e-01 4.52403620e-01
-8.22081778e-01 -3.46597484e-01 8.96730580e-01 -6.74102003e-01]
[-8.26655055e-01 1.89207776e-01 8.61979731e-01 -7.32443385e-01
2.60245873e-02 3.67998428e-01 -6.56340481e-01 -9.77480213e-01
7.75366261e-01 -9.29537459e-01 -4.85083432e-01 3.03368063e-01
-4.28434133e-01 -9.80584807e-01 1.50903669e-01 -3.84415443e-01
-6.96971876e-01 9.42566623e-01 -6.70055464e-01 4.54470882e-01]
[ 7.81448383e-01 7.17430231e-01 -6.31485866e-01 -5.26382933e-01
-9.63274727e-01 8.62810935e-01 7.74242353e-01 1.90932338e-01
-7.81264689e-01 -6.52914706e-01 1.53920742e-01 -4.96686053e-01
-3.99656334e-01 -6.58025302e-01 -6.20816562e-01 -7.31576912e-02
1.97479453e-02 2.31597793e-02 9.94277599e-01 -7.40808365e-01]
[-7.43066948e+03 -7.61320951e+03 -4.55380359e+03 -7.20228715e+03
-7.94571622e+03 -7.33165604e+03 -8.17605527e+03 -7.27968712e+03
-7.94816436e+03 -7.31715206e+03 -7.76861228e+03 -7.60661405e+03
-7.77540200e+03 -8.08101641e+03 -7.52966802e+03 -7.45515837e+03
-7.16569996e+03 -7.38873812e+03 -7.21751870e+03 -7.65528260e+03]
[-4.41590501e+02 1.85791472e+04 2.07994238e+04 2.68615223e+03
1.46979141e+04 1.56399215e+03 1.25809177e+04 1.46824199e+03
1.53094891e+04 1.64652045e+03 1.73548552e+04 -1.45472248e+03
1.70855129e+04 1.36619180e+04 1.89035650e+04 -2.39004730e+02
2.93872169e+03 1.48417524e+04 2.68828693e+03 1.82703904e+04]
[-1.25219244e+05 -9.01475770e+04 -5.55837284e+03 -1.15760201e+05
-1.02669301e+05 -1.19042031e+05 -1.09080063e+05 -1.19063046e+05
-1.00022082e+05 -1.18480069e+05 -9.38851790e+04 -1.28495474e+05
-9.45665916e+04 -1.05905212e+05 -8.95852313e+04 -1.24868814e+05
-1.14090732e+05 -9.45222007e+04 -1.15616939e+05 -9.07087704e+04]
[-4.81570302e+05 -4.68710827e+05 -1.83097625e+05 -4.62340348e+05
-4.96311754e+05 -4.69242533e+05 -5.09450468e+05 -4.68041293e+05
-4.90030938e+05 -4.66932146e+05 -4.77674124e+05 -4.89418490e+05
-4.77261340e+05 -5.03633520e+05 -4.67436739e+05 -4.81990333e+05
-4.56378619e+05 -4.59279998e+05 -4.61492645e+05 -4.68547020e+05]
[-9.74436907e+05 -1.02408027e+06 -3.55423822e+05 -9.47361294e+05
-1.06388896e+06 -9.57984613e+05 -1.08088449e+06 -9.53369936e+05
-1.05305720e+06 -9.53051140e+05 -1.03688603e+06 -9.85283545e+05
-1.03439826e+06 -1.07480630e+06 -1.02304836e+06 -9.76262732e+05
-9.36114049e+05 -9.89607042e+05 -9.46316265e+05 -1.02199895e+06]
[-1.59638444e+06 -1.71206267e+06 -4.99282591e+05 -1.55357414e+06
-1.77272839e+06 -1.57161791e+06 -1.79619346e+06 -1.56153795e+06
-1.75399671e+06 -1.56159079e+06 -1.73109296e+06 -1.61201089e+06
-1.72428424e+06 -1.78992459e+06 -1.71163365e+06 -1.59976124e+06
-1.53415732e+06 -1.64537229e+06 -1.55275068e+06 -1.70655155e+06]
[-2.69858311e+06 -3.02457522e+06 -8.31650230e+05 -2.65111181e+06
-3.09447234e+06 -2.67408725e+06 -3.11640636e+06 -2.65506238e+06
-3.06539078e+06 -2.65499874e+06 -3.04430938e+06 -2.71638731e+06
-3.03002012e+06 -3.11438483e+06 -3.03026758e+06 -2.70700166e+06
-2.62113268e+06 -2.88707497e+06 -2.65110072e+06 -3.01161599e+06]
[-4.12753477e+06 -4.92664554e+06 -1.01845840e+06 -4.10575619e+06
-4.96068176e+06 -4.12775423e+06 -4.95275787e+06 -4.09209868e+06
-4.92301790e+06 -4.09584957e+06 -4.92910753e+06 -4.13588794e+06
-4.90263300e+06 -4.97329063e+06 -4.94495708e+06 -4.14462780e+06
-4.06432628e+06 -4.65642351e+06 -4.11078179e+06 -4.89852719e+06]
[-5.52268146e+06 -7.02416708e+06 -1.05225088e+06 -5.56394916e+06
-6.96724303e+06 -5.57469139e+06 -6.89444331e+06 -5.51928043e+06
-6.92412744e+06 -5.52772882e+06 -6.98686185e+06 -5.50353334e+06
-6.94281308e+06 -6.95441774e+06 -7.06223112e+06 -5.55063212e+06
-5.51514430e+06 -6.57269708e+06 -5.57781851e+06 -6.97698653e+06]
[-6.96622907e+06 -9.89445730e+06 -2.27671002e+05 -7.18502168e+06
-9.57964318e+06 -7.15701166e+06 -9.33982012e+06 -7.06334263e+06
-9.54699876e+06 -7.09496932e+06 -9.75502419e+06 -6.86942248e+06
-9.68164595e+06 -9.49478771e+06 -9.96305048e+06 -7.00792769e+06
-7.14728484e+06 -9.10926453e+06 -7.22099041e+06 -9.81849637e+06]
[-9.71120593e+06 -1.43839676e+07 6.66669605e+04 -1.01207061e+07
-1.38093358e+07 -1.00590596e+07 -1.34049968e+07 -9.92105791e+06
-1.37961581e+07 -9.98048195e+06 -1.41512722e+07 -9.55254198e+06
-1.40379480e+07 -1.36527158e+07 -1.44708221e+07 -9.77806204e+06
-1.00906627e+07 -1.31692645e+07 -1.01780180e+07 -1.42830210e+07]
[-1.44649047e+07 -2.16350471e+07 -2.58418413e+05 -1.51143606e+07
-2.07452297e+07 -1.50184722e+07 -2.01427695e+07 -1.48154004e+07
-2.07642473e+07 -1.49192251e+07 -2.12984851e+07 -1.42434661e+07
-2.11328041e+07 -2.05036083e+07 -2.17325441e+07 -1.45695391e+07
-1.50928081e+07 -1.97863666e+07 -1.51988900e+07 -2.15081623e+07]
[-1.86678427e+07 -2.86067365e+07 -2.95387532e+05 -1.96199994e+07
-2.73158576e+07 -1.94691964e+07 -2.64718130e+07 -1.91981054e+07
-2.73821297e+07 -1.93521734e+07 -2.81371394e+07 -1.83607066e+07
-2.79174849e+07 -2.69673897e+07 -2.87225477e+07 -1.88119959e+07
-1.96181855e+07 -2.60814628e+07 -1.97371731e+07 -2.84511316e+07]
[-2.21777731e+07 -3.42202472e+07 -6.61167993e+05 -2.33462827e+07
-3.26511506e+07 -2.31563029e+07 -3.16378102e+07 -2.28384804e+07
-3.27566290e+07 -2.30265689e+07 -3.36656663e+07 -2.18194265e+07
-3.34034236e+07 -3.22296974e+07 -3.43414782e+07 -2.23555723e+07
-2.33551339e+07 -3.11751841e+07 -2.34813919e+07 -3.40435789e+07]
[-2.22259478e+07 -3.50489537e+07 -4.89509460e+05 -2.35142050e+07
-3.33142394e+07 -2.32887443e+07 -3.22135415e+07 -2.29610473e+07
-3.34432046e+07 -2.31624333e+07 -3.44362740e+07 -2.18247695e+07
-3.41677199e+07 -3.28559914e+07 -3.51810461e+07 -2.24130608e+07
-2.35338784e+07 -3.18423858e+07 -2.36558690e+07 -3.48580296e+07]
[-2.03065807e+07 -3.26315502e+07 -7.40397397e+05 -2.15589348e+07
-3.09380556e+07 -2.13312802e+07 -2.98796613e+07 -2.10190248e+07
-3.10788006e+07 -2.12224335e+07 -3.20379045e+07 -1.99091506e+07
-3.17933032e+07 -3.05080527e+07 -3.27498670e+07 -2.04805141e+07
-2.15826623e+07 -2.95664944e+07 -2.16920351e+07 -3.24460159e+07]
[-1.64966480e+07 -2.65668085e+07 -1.20408606e+06 -1.75065504e+07
-2.52004458e+07 -1.73181781e+07 -2.43588550e+07 -1.70702893e+07
-2.53216274e+07 -1.72380002e+07 -2.60890380e+07 -1.61752164e+07
-2.59057361e+07 -2.48703569e+07 -2.66542699e+07 -1.66383657e+07
-1.75205949e+07 -2.40597564e+07 -1.76063820e+07 -2.64120006e+07]
[-1.13540574e+07 -1.87629104e+07 -1.04756339e+06 -1.21111695e+07
-1.77301919e+07 -1.19530801e+07 -1.71019663e+07 -1.17831481e+07
-1.78211467e+07 -1.19045718e+07 -1.83929876e+07 -1.10968982e+07
-1.82802479e+07 -1.74893892e+07 -1.88377868e+07 -1.14562989e+07
-1.21186855e+07 -1.69386127e+07 -1.21765809e+07 -1.86416961e+07]
[-7.24314318e+06 -1.21807837e+07 -1.25236683e+06 -7.75489099e+06
-1.14865783e+07 -7.62594842e+06 -1.10708426e+07 -7.53398833e+06
-1.15393835e+07 -7.60149446e+06 -1.19188606e+07 -7.05878515e+06
-1.18710608e+07 -1.13274827e+07 -1.22506708e+07 -7.31312079e+06
-7.75379175e+06 -1.09827107e+07 -7.78464197e+06 -1.20916328e+07]
[-3.29504420e+06 -6.18685528e+06 -7.26750741e+05 -3.63413167e+06
-5.72565829e+06 -3.52365611e+06 -5.45991660e+06 -3.49134964e+06
-5.74938698e+06 -3.51842709e+06 -5.99408063e+06 -3.15423492e+06
-5.99810250e+06 -5.61784064e+06 -6.26089034e+06 -3.33689184e+06
-3.63487592e+06 -5.52325739e+06 -3.64454451e+06 -6.12659517e+06]
[-1.58337559e+06 -3.02852467e+06 -7.84747910e+05 -1.76299398e+06
-2.79136729e+06 -1.68517568e+06 -2.66195839e+06 -1.68969170e+06
-2.79492747e+06 -1.68942229e+06 -2.91492420e+06 -1.50112859e+06
-2.94601135e+06 -2.73497888e+06 -3.09013361e+06 -1.60909991e+06
-1.75756499e+06 -2.71471176e+06 -1.75794142e+06 -2.99446320e+06]
[-7.37847182e+05 -1.27939276e+06 -6.31095762e+05 -8.07082513e+05
-1.19343919e+06 -7.60637943e+05 -1.15505269e+06 -7.81451652e+05
-1.18622225e+06 -7.67264514e+05 -1.22322907e+06 -7.01478151e+05
-1.26436581e+06 -1.17416682e+06 -1.32560607e+06 -7.53684556e+05
-7.99326820e+05 -1.17353912e+06 -7.95051764e+05 -1.26250101e+06]
[-3.34587233e+05 -4.60415128e+05 -4.16306073e+05 -3.48384219e+05
-4.47556730e+05 -3.26830663e+05 -4.49329067e+05 -3.45118592e+05
-4.38707299e+05 -3.30781209e+05 -4.38988121e+05 -3.24392753e+05
-4.70664355e+05 -4.46476766e+05 -4.88299800e+05 -3.43627102e+05
-3.42442590e+05 -4.41966963e+05 -3.38073536e+05 -4.52983969e+05]
[-9.64941218e+04 -1.50257385e+05 -5.75292330e+04 -1.02178632e+05
-1.43471875e+05 -9.52091778e+04 -1.42148204e+05 -9.99699390e+04
-1.40534664e+05 -9.67769457e+04 -1.42223743e+05 -9.20572240e+04
-1.52488559e+05 -1.42349050e+05 -1.59717514e+05 -9.95858283e+04
-1.00283919e+05 -1.41695114e+05 -9.94133692e+04 -1.47807404e+05]
[ 1.56127295e+04 -8.30330537e+03 3.35644631e+04 1.12718889e+04
-1.89587356e+03 1.28940076e+04 1.67941744e+03 1.31847163e+04
-2.28506325e+03 1.27379954e+04 -5.53323329e+03 1.79333087e+04
-5.87160343e+03 -1.96991349e+02 -9.59598561e+03 1.54204308e+04
1.08542134e+04 -3.96857680e+03 1.09301240e+04 -7.83616425e+03]
[-1.70177869e+02 1.10553503e+01 -5.70044111e+02 -1.44935424e+02
-2.73623180e+01 -1.37908652e+02 -5.19801816e+01 -1.57940356e+02
-1.99015660e+01 -1.37567239e+02 5.92650725e+00 -1.77507231e+02
-1.43368504e+01 -3.60894253e+01 -3.10801124e-02 -1.71079075e+02
-1.45533354e+02 -3.49340723e+01 -1.29891474e+02 1.26207663e+01]
[-4.73505882e-01 -9.98426917e-01 -5.29004477e-01 3.47133396e-01
7.56640399e-01 6.61405138e-01 -7.83785229e-01 -8.57750041e-01
5.23184624e-01 -4.30333256e-01 -4.56393895e-01 -9.95999399e-01
-8.02921979e-01 -7.28805905e-01 -6.81279588e-01 -1.09372795e-01
6.28271629e-01 6.24596231e-01 8.19979243e-01 -1.12815923e-01]
[ 4.17421016e-01 -2.33317638e-02 -9.00314884e-01 -8.39137132e-01
-5.08115330e-01 9.63243457e-01 3.83834459e-01 -4.63984836e-01
4.12526489e-01 3.22692269e-01 -9.13419678e-01 -2.77024831e-01
5.47455967e-01 -8.42954170e-01 7.68768234e-01 8.61736593e-01
7.06171025e-01 -7.65244792e-01 1.30346963e-01 4.15119896e-01]
[-9.18070266e+03 -8.26358888e+03 -3.74231206e+03 -8.55504749e+03
-9.08819155e+03 -8.79802235e+03 -9.54650920e+03 -8.83017636e+03
-8.99715596e+03 -8.75688228e+03 -8.55433890e+03 -9.49062112e+03
-8.55557112e+03 -9.32113254e+03 -8.17472338e+03 -9.25008515e+03
-8.38378952e+03 -8.10481420e+03 -8.50103348e+03 -8.29983047e+03]
[-6.81720765e+04 -2.64802395e+04 5.02967093e+04 -6.14571075e+04
-3.43761130e+04 -6.38229211e+04 -3.87380933e+04 -6.40208714e+04
-3.31886870e+04 -6.36514732e+04 -2.88980500e+04 -7.01290987e+04
-2.94022829e+04 -3.67628833e+04 -2.58770881e+04 -6.78756642e+04
-6.04435962e+04 -3.46002340e+04 -6.13971321e+04 -2.68149963e+04]
[-2.93687437e+05 -1.90300702e+05 2.31920030e+04 -2.71893917e+05
-2.18674312e+05 -2.78641286e+05 -2.33795282e+05 -2.79879371e+05
-2.12845553e+05 -2.78119283e+05 -1.98302438e+05 -3.00598838e+05
-2.01345005e+05 -2.26251218e+05 -1.89251616e+05 -2.92924612e+05
-2.67955607e+05 -2.07686014e+05 -2.70995353e+05 -1.91307643e+05]
[-6.32285554e+05 -4.67164394e+05 -1.83401588e+05 -5.84804303e+05
-5.31365633e+05 -6.00587746e+05 -5.63406976e+05 -6.01405957e+05
-5.18878919e+05 -5.98073454e+05 -4.87730830e+05 -6.49434268e+05
-4.90359023e+05 -5.48184574e+05 -4.62925711e+05 -6.31422175e+05
-5.74627644e+05 -4.87312818e+05 -5.82236013e+05 -4.68562127e+05]
[-1.00542396e+06 -7.93047629e+05 -2.75033318e+05 -9.30243126e+05
-8.91316263e+05 -9.56361706e+05 -9.36869903e+05 -9.54310982e+05
-8.69958225e+05 -9.50471132e+05 -8.24364825e+05 -1.02973259e+06
-8.24619537e+05 -9.16813444e+05 -7.86884722e+05 -1.00378507e+06
-9.12411829e+05 -8.09475074e+05 -9.27385707e+05 -7.93659108e+05]
[-1.62030777e+06 -1.46924426e+06 -3.66226819e+05 -1.52304314e+06
-1.59158415e+06 -1.55855219e+06 -1.64093432e+06 -1.54988036e+06
-1.55800881e+06 -1.54622159e+06 -1.50565276e+06 -1.64668362e+06
-1.50031455e+06 -1.62345501e+06 -1.46469719e+06 -1.61873071e+06
-1.49449912e+06 -1.45105951e+06 -1.52092871e+06 -1.46465717e+06]
[-2.23787510e+06 -2.40275151e+06 -1.01990553e+05 -2.16306959e+06
-2.48507895e+06 -2.19553927e+06 -2.50003126e+06 -2.17422753e+06
-2.44159034e+06 -2.17444003e+06 -2.41734856e+06 -2.24512175e+06
-2.40304091e+06 -2.50597486e+06 -2.41029575e+06 -2.23872843e+06
-2.12790325e+06 -2.29947492e+06 -2.16595027e+06 -2.38509232e+06]
[-2.91736274e+06 -3.95407237e+06 4.35059797e+05 -2.95332033e+06
-3.87444543e+06 -2.95433779e+06 -3.78315427e+06 -2.91457331e+06
-3.82796258e+06 -2.92295158e+06 -3.89574297e+06 -2.86983640e+06
-3.87220630e+06 -3.85151844e+06 -3.99473464e+06 -2.92695324e+06
-2.91935516e+06 -3.65373592e+06 -2.96646320e+06 -3.90948116e+06]
[-3.58156570e+06 -6.10254977e+06 1.41574797e+06 -3.81889498e+06
-5.72955291e+06 -3.76587898e+06 -5.44706438e+06 -3.69347266e+06
-5.69106786e+06 -3.72374398e+06 -5.92256499e+06 -3.43664238e+06
-5.87615231e+06 -5.62329372e+06 -6.18449826e+06 -3.60161998e+06
-3.79808062e+06 -5.47322254e+06 -3.85076611e+06 -6.02192610e+06]
[-3.47246127e+06 -7.83486284e+06 3.40392225e+06 -3.99931668e+06
-7.04256859e+06 -3.86662912e+06 -6.49537994e+06 -3.75252154e+06
-7.02782091e+06 -3.81871865e+06 -7.48736548e+06 -3.18641653e+06
-7.40873400e+06 -6.81305928e+06 -7.96677497e+06 -3.50151194e+06
-4.01016133e+06 -6.81786079e+06 -4.05910942e+06 -7.71814961e+06]
[-4.82313376e+06 -1.09897162e+07 4.63504255e+06 -5.57955674e+06
-9.88019114e+06 -5.39161573e+06 -9.12631131e+06 -5.23585825e+06
-9.88564586e+06 -5.34129159e+06 -1.05201872e+07 -4.43681378e+06
-1.04145557e+07 -9.55266862e+06 -1.11507626e+07 -4.86463524e+06
-5.61578009e+06 -9.55882530e+06 -5.65943246e+06 -1.08518014e+07]
[-8.22053672e+06 -1.61973981e+07 5.07986774e+06 -9.15362528e+06
-1.48605734e+07 -8.93896316e+06 -1.39519403e+07 -8.73369269e+06
-1.48893840e+07 -8.88192575e+06 -1.56506932e+07 -7.78064268e+06
-1.55194212e+07 -1.44621768e+07 -1.63665142e+07 -8.28004515e+06
-9.21382460e+06 -1.43144685e+07 -9.25046102e+06 -1.60494009e+07]
[-1.26799576e+07 -2.19791438e+07 4.97907396e+06 -1.36683366e+07
-2.05826141e+07 -1.34678424e+07 -1.96140071e+07 -1.32192174e+07
-2.06343643e+07 -1.34037654e+07 -2.14296909e+07 -1.22478194e+07
-2.12801516e+07 -2.01639913e+07 -2.21258423e+07 -1.27547086e+07
-1.37434835e+07 -1.97212389e+07 -1.37702149e+07 -2.18363707e+07]
[-1.52876943e+07 -2.50886034e+07 4.34599742e+06 -1.62320415e+07
-2.37625670e+07 -1.60640225e+07 -2.28191559e+07 -1.57974453e+07
-2.38267148e+07 -1.59960274e+07 -2.45864224e+07 -1.48981282e+07
-2.44243622e+07 -2.33707216e+07 -2.51979689e+07 -1.53709840e+07
-1.63016454e+07 -2.26522063e+07 -1.63237807e+07 -2.49489901e+07]
[-1.58048317e+07 -2.56405892e+07 3.54715401e+06 -1.67051873e+07
-2.43703742e+07 -1.65588742e+07 -2.34622636e+07 -1.62846461e+07
-2.44451609e+07 -1.64921220e+07 -2.51759777e+07 -1.54413821e+07
-2.50067478e+07 -2.40171994e+07 -2.57148597e+07 -1.58866833e+07
-1.67645655e+07 -2.31709486e+07 -1.67886970e+07 -2.54934006e+07]
[-1.42288304e+07 -2.42452772e+07 3.25370491e+06 -1.51891200e+07
-2.28699448e+07 -1.50234776e+07 -2.19236733e+07 -1.47411655e+07
-2.29693971e+07 -1.49660907e+07 -2.37489795e+07 -1.38323605e+07
-2.35811899e+07 -2.25202841e+07 -2.43118436e+07 -1.43068696e+07
-1.52497378e+07 -2.17650359e+07 -1.52801396e+07 -2.40813655e+07]
[-1.18788097e+07 -2.11972438e+07 2.30318111e+06 -1.28059283e+07
-1.98611946e+07 -1.26312295e+07 -1.89717797e+07 -1.23797686e+07
-1.99625432e+07 -1.25868535e+07 -2.07097618e+07 -1.14899396e+07
-2.05725260e+07 -1.95434171e+07 -2.12632527e+07 -1.19538805e+07
-1.28570841e+07 -1.89223021e+07 -1.28880869e+07 -2.10296309e+07]
[-7.67738130e+06 -1.55356534e+07 2.05105629e+06 -8.53811233e+06
-1.42907051e+07 -8.34157916e+06 -1.34948210e+07 -8.15565947e+06
-1.43791798e+07 -8.31355445e+06 -1.50615742e+07 -7.30062621e+06
-1.49732442e+07 -1.39998335e+07 -1.56274804e+07 -7.74498198e+06
-8.58235860e+06 -1.36800023e+07 -8.60334510e+06 -1.53751371e+07]
[-3.92055379e+06 -9.83368632e+06 1.69460914e+06 -4.64515235e+06
-8.78604219e+06 -4.44276326e+06 -8.14010838e+06 -4.33278516e+06
-8.84530933e+06 -4.43097331e+06 -9.40926758e+06 -3.58136213e+06
-9.37478341e+06 -8.53657058e+06 -9.95017595e+06 -3.97376429e+06
-4.68005349e+06 -8.49709854e+06 -4.68712969e+06 -9.69625626e+06]
[-1.84651491e+06 -6.12155219e+06 1.15048850e+06 -2.42698671e+06
-5.29389009e+06 -2.23071964e+06 -4.80638745e+06 -2.18165650e+06
-5.32878136e+06 -2.23378837e+06 -5.76458563e+06 -1.56357947e+06
-5.78049109e+06 -5.09317676e+06 -6.25427215e+06 -1.89103224e+06
-2.44973925e+06 -5.20566223e+06 -2.44799613e+06 -6.01422416e+06]
[-4.71285367e+05 -3.10873865e+06 9.04347986e+05 -8.66641429e+05
-2.54971624e+06 -7.08741844e+05 -2.23780617e+06 -7.03209773e+05
-2.56510601e+06 -7.20737183e+05 -2.84948644e+06 -2.68911895e+05
-2.89949925e+06 -2.41213209e+06 -3.23085944e+06 -5.05323926e+05
-8.80038289e+05 -2.58127716e+06 -8.73200998e+05 -3.03911430e+06]
[-1.64893818e+05 -1.38101495e+06 3.74992587e+05 -3.63491577e+05
-1.10377619e+06 -2.61251475e+05 -9.64127531e+05 -2.85080536e+05
-1.10019893e+06 -2.74485099e+05 -1.23121506e+06 -5.56694099e+04
-1.29922675e+06 -1.03697906e+06 -1.47663887e+06 -1.90173332e+05
-3.65742735e+05 -1.16367186e+06 -3.55417001e+05 -1.34285498e+06]
[-3.30598204e+05 -7.75727510e+05 -3.19977142e+04 -4.01910120e+05
-6.79332237e+05 -3.49550285e+05 -6.38964963e+05 -3.74901105e+05
-6.69337924e+05 -3.58097811e+05 -7.08404276e+05 -2.86492728e+05
-7.62982831e+05 -6.57269518e+05 -8.34803339e+05 -3.47301170e+05
-3.98864719e+05 -7.06245721e+05 -3.89302202e+05 -7.58302354e+05]
[-5.69228626e+04 -1.82086625e+05 6.65901605e+04 -7.83732572e+04
-1.52726586e+05 -5.95832543e+04 -1.42123159e+05 -7.04693069e+04
-1.48099122e+05 -6.27535524e+04 -1.58325962e+05 -4.22192215e+04
-1.81701493e+05 -1.46134765e+05 -2.05816093e+05 -6.36953099e+04
-7.76747564e+04 -1.66483343e+05 -7.27949296e+04 -1.76150740e+05]
[-3.88356716e+04 -8.60301008e+04 2.91711048e+04 -4.50602288e+04
-7.76350756e+04 -4.12676430e+04 -7.33829710e+04 -4.23719002e+04
-7.68173831e+04 -4.19120917e+04 -8.06328334e+04 -3.50018398e+04
-8.44426391e+04 -7.52497937e+04 -9.05724753e+04 -4.02700471e+04
-4.49384530e+04 -7.73040821e+04 -4.43830033e+04 -8.49517712e+04]
[ 1.47850746e+04 -1.67233266e+04 3.86644230e+04 9.24668974e+03
-8.77278300e+03 1.09870841e+04 -4.43448846e+03 1.15575373e+04
-9.35159006e+03 1.09104205e+04 -1.34086647e+04 1.72486680e+04
-1.35061915e+04 -6.72223762e+03 -1.81014429e+04 1.44423732e+04
8.65609321e+03 -1.06302546e+04 8.66466156e+03 -1.61451193e+04]
[ 1.86217002e+03 3.23799780e+03 4.21284055e+02 2.05116892e+03
2.98435493e+03 1.99132545e+03 2.85705961e+03 1.96773344e+03
3.01574197e+03 1.98593268e+03 3.14335299e+03 1.80159138e+03
3.12933720e+03 2.93211295e+03 3.28692580e+03 1.87792146e+03
2.05384347e+03 2.91918841e+03 2.06955975e+03 3.21475678e+03]
[ 1.42760785e+04 2.56028194e+04 2.62862135e+03 1.58895299e+04
2.35110299e+04 1.53848420e+04 2.24447788e+04 1.51783059e+04
2.37432074e+04 1.53559078e+04 2.48197179e+04 1.37664142e+04
2.47403606e+04 2.30450791e+04 2.59835378e+04 1.44178153e+04
1.59409597e+04 2.30757594e+04 1.60334754e+04 2.54271758e+04]
[ 2.44036670e+04 4.49223836e+04 -8.23215561e+03 2.75774772e+04
4.06221825e+04 2.65699956e+04 3.86088323e+04 2.61837565e+04
4.11588464e+04 2.65654526e+04 4.32383924e+04 2.33361269e+04
4.32118662e+04 3.97224546e+04 4.57952951e+04 2.46596540e+04
2.76656589e+04 4.04169125e+04 2.79658996e+04 4.46557014e+04]
[-4.96983251e+04 6.79817445e+04 2.86065638e+04 -3.02835950e+04
4.32384906e+04 -3.65970950e+04 3.06172544e+04 -3.82051391e+04
4.67845985e+04 -3.67866306e+04 5.95910520e+04 -5.59352527e+04
5.78565170e+04 3.72416371e+04 7.11556882e+04 -4.85054585e+04
-2.86097501e+04 4.34958700e+04 -2.90025068e+04 6.63176886e+04]
[-1.73418114e+05 1.00013709e+05 -1.16150917e+04 -1.23805048e+05
3.45716537e+04 -1.39496443e+05 2.17346693e+03 -1.43246202e+05
4.51160676e+04 -1.39644060e+05 7.79193761e+04 -1.89354137e+05
7.37717841e+04 1.92892777e+04 1.07650271e+05 -1.70633081e+05
-1.18166048e+05 4.57606286e+04 -1.20199469e+05 9.60162703e+04]
[-1.48419017e+05 2.70815967e+05 -5.37217629e+04 -6.92981038e+04
1.69014175e+05 -9.45768209e+04 1.22382304e+05 -9.88125374e+04
1.87473791e+05 -9.42987769e+04 2.36707970e+05 -1.71244308e+05
2.32452453e+05 1.45737224e+05 2.82658879e+05 -1.42917071e+05
-5.86802593e+04 1.88229090e+05 -6.42364723e+04 2.65965852e+05]
[ 2.04789319e+05 8.87274751e+05 6.43993915e+04 3.21030359e+05
7.44375729e+05 2.83994398e+05 6.83018707e+05 2.78722160e+05
7.73626691e+05 2.85431872e+05 8.40745148e+05 1.76594636e+05
8.37203085e+05 7.13459581e+05 9.02848863e+05 2.15956199e+05
3.34728698e+05 7.44538662e+05 3.26255878e+05 8.81266793e+05]
[ 6.91080683e+05 1.45177674e+06 3.19233404e+05 8.12800692e+05
1.31367559e+06 7.73436733e+05 1.26537078e+06 7.69268680e+05
1.35182529e+06 7.78057032e+05 1.41190080e+06 6.71350517e+05
1.41211353e+06 1.28706528e+06 1.46455013e+06 7.05636707e+05
8.27276964e+05 1.28586361e+06 8.16667331e+05 1.45184081e+06]
[ 1.68114730e+06 2.07206622e+06 1.31091764e+06 1.71248547e+06
2.07704481e+06 1.70518499e+06 2.12262988e+06 1.70797517e+06
2.11742054e+06 1.71072072e+06 2.09854805e+06 1.72073427e+06
2.10116170e+06 2.09201648e+06 2.05782349e+06 1.69908384e+06
1.71620898e+06 1.95680548e+06 1.70873352e+06 2.09229564e+06]
[ 2.87273810e+06 2.66675483e+06 2.34877071e+06 2.77957031e+06
2.85754327e+06 2.81627977e+06 3.02943043e+06 2.82289353e+06
2.90065313e+06 2.82185435e+06 2.78002439e+06 2.98631355e+06
2.78309737e+06 2.93333031e+06 2.61884972e+06 2.89208857e+06
2.76607871e+06 2.64610522e+06 2.77096699e+06 2.71171897e+06]
[ 4.13726659e+06 2.85942709e+06 3.81699154e+06 3.84482674e+06
3.33486009e+06 3.95132162e+06 3.70021289e+06 3.97073604e+06
3.37537677e+06 3.95285621e+06 3.09910195e+06 4.36594323e+06
3.10639975e+06 3.50622490e+06 2.76505905e+06 4.16125139e+06
3.80044773e+06 3.03088355e+06 3.82867943e+06 2.93337696e+06]
[ 5.60168292e+06 3.24890281e+06 5.65463376e+06 5.10163438e+06
4.01662661e+06 5.28205262e+06 4.58665499e+06 5.31701138e+06
4.05053194e+06 5.27217733e+06 3.61350843e+06 5.95554883e+06
3.62774195e+06 4.29481840e+06 3.11037044e+06 5.63668031e+06
5.01796996e+06 3.60744760e+06 5.07772718e+06 3.34057310e+06]
[ 5.16423446e+06 2.86189805e+06 6.16910542e+06 4.68817818e+06
3.58081692e+06 4.86419911e+06 4.15772904e+06 4.89493670e+06
3.63124309e+06 4.84352044e+06 3.21554355e+06 5.52424898e+06
3.21632593e+06 3.87452217e+06 2.72795022e+06 5.21466720e+06
4.58373680e+06 3.20903349e+06 4.67914286e+06 2.94009787e+06]
[ 7.20561639e+05 -1.29551330e+06 4.82865242e+06 4.08886807e+05
-8.41529338e+05 5.20846703e+05 -3.88064260e+05 5.50536359e+05
-7.75932457e+05 4.99672927e+05 -1.05342808e+06 9.85182301e+05
-1.06638132e+06 -5.98174943e+05 -1.38669003e+06 7.70194954e+05
3.04677597e+05 -9.36849603e+05 4.23696011e+05 -1.25323127e+06]
[-5.10482402e+06 -6.57096278e+06 2.53351451e+06 -5.10968013e+06
-6.56879385e+06 -5.12571982e+06 -6.35810959e+06 -5.08835996e+06
-6.49111160e+06 -5.13839621e+06 -6.52984038e+06 -5.01892860e+06
-6.55053101e+06 -6.45395130e+06 -6.56823245e+06 -5.06418922e+06
-5.18853834e+06 -6.18828939e+06 -5.06382747e+06 -6.56978102e+06]
[-8.34861463e+06 -9.15814122e+06 8.73040589e+05 -8.07871162e+06
-9.53664024e+06 -8.20562033e+06 -9.53608447e+06 -8.16103685e+06
-9.44987694e+06 -8.21346038e+06 -9.28851029e+06 -8.40529823e+06
-9.31006979e+06 -9.54758636e+06 -9.06563822e+06 -8.30653001e+06
-8.12770005e+06 -8.80656953e+06 -8.00798046e+06 -9.18001208e+06]
[-8.20926321e+06 -9.02071868e+06 1.09973016e+06 -7.88853112e+06
-9.43461627e+06 -8.04678604e+06 -9.45973231e+06 -7.97967067e+06
-9.36292861e+06 -8.05731725e+06 -9.18163374e+06 -8.28335387e+06
-9.19483036e+06 -9.49395055e+06 -8.88786994e+06 -8.16079809e+06
-7.92450883e+06 -8.64299243e+06 -7.81997327e+06 -9.02965977e+06]
[-5.84701882e+06 -7.29270932e+06 1.42516915e+06 -5.66593857e+06
-7.47328795e+06 -5.78702044e+06 -7.38433669e+06 -5.69881444e+06
-7.42901044e+06 -5.79688141e+06 -7.36795266e+06 -5.84976456e+06
-7.36706228e+06 -7.50830265e+06 -7.17080878e+06 -5.80018338e+06
-5.70164275e+06 -6.81379554e+06 -5.61740716e+06 -7.26171967e+06]
[-2.62101937e+06 -5.42721894e+06 2.45562890e+06 -2.75788933e+06
-5.13848846e+06 -2.77212336e+06 -4.80620042e+06 -2.66666990e+06
-5.12823159e+06 -2.78361504e+06 -5.31257928e+06 -2.46973163e+06
-5.29679535e+06 -5.06740758e+06 -5.36712745e+06 -2.58675605e+06
-2.80754007e+06 -4.73163050e+06 -2.74378191e+06 -5.34615146e+06]
[ 2.83274523e+05 -3.22601601e+06 3.26715474e+06 -1.15595905e+05
-2.56862448e+06 -2.01494263e+04 -2.05980028e+06 6.84648935e+04
-2.57796394e+06 -3.26797927e+04 -2.94975108e+06 5.60215066e+05
-2.93562839e+06 -2.39994082e+06 -3.24796337e+06 3.00528625e+05
-1.75352421e+05 -2.47772257e+06 -1.20541815e+05 -3.11023860e+06]
[ 2.85293655e+06 -7.42216346e+05 3.63015050e+06 2.31031013e+06
1.02044298e+05 2.48487159e+06 6.67305439e+05 2.53867523e+06
9.04662810e+04 2.46799781e+06 -3.65931673e+05 3.19361386e+06
-3.80615760e+05 3.24044345e+05 -8.41329508e+05 2.85434854e+06
2.24752028e+06 -5.08274708e+04 2.29743293e+06 -6.16198887e+05]
[ 2.50818388e+06 -1.11883921e+06 2.98684344e+06 1.91509919e+06
-2.35834092e+05 2.12742515e+06 3.01379334e+05 2.15679388e+06
-2.57861958e+05 2.11073605e+06 -7.21276921e+05 2.84365896e+06
-7.56106279e+05 -7.55647473e+03 -1.26027679e+06 2.48746709e+06
1.86462890e+06 -4.36426219e+05 1.89999782e+06 -1.00024273e+06]
[ 1.97877885e+06 -7.63896430e+05 2.35219024e+06 1.50291160e+06
-6.66969381e+04 1.69323236e+06 3.27798079e+05 1.69211772e+06
-8.36629678e+04 1.67468678e+06 -4.37017079e+05 2.24169823e+06
-4.98202757e+05 1.11187376e+05 -9.08710679e+05 1.95001238e+06
1.46938776e+06 -2.69809550e+05 1.49502676e+06 -6.76697944e+05]
[ 1.24906435e+06 -3.53542931e+05 1.64897795e+06 9.52921596e+05
8.00375767e+04 1.09412159e+06 3.06441657e+05 1.06859160e+06
7.97369765e+04 1.07539117e+06 -1.27606353e+05 1.41944644e+06
-2.13919079e+05 1.89131997e+05 -4.83512496e+05 1.22062897e+06
9.34185836e+05 -9.24965432e+04 9.56494663e+05 -2.99738373e+05]
[ 3.35976306e+04 -6.01485555e+05 5.60492216e+05 -7.94817454e+04
-4.38255551e+05 -4.68495242e+03 -3.64474144e+05 -3.60745903e+04
-4.25590455e+05 -1.69475239e+04 -4.95013875e+05 1.05800776e+05
-5.71142285e+05 -3.98801518e+05 -6.86669323e+05 1.10996267e+04
-8.16856438e+04 -5.10618799e+05 -6.61256640e+04 -5.76484347e+05]
[-2.05631534e+05 -3.78561126e+05 1.17930442e+05 -2.35663649e+05
-3.36492609e+05 -2.07249575e+05 -3.21421224e+05 -2.24505607e+05
-3.27478429e+05 -2.12069459e+05 -3.41999299e+05 -1.83535023e+05
-3.80005563e+05 -3.26683897e+05 -4.15996377e+05 -2.16361556e+05
-2.35102554e+05 -3.59745532e+05 -2.26600339e+05 -3.69716189e+05]
[ 1.81075810e+04 -3.80120149e+04 4.12925469e+04 7.64070812e+03
-2.33988598e+04 1.46597899e+04 -1.70740497e+04 1.16759761e+04
-2.22517900e+04 1.37459570e+04 -2.82557604e+04 2.43446646e+04
-3.56190161e+04 -1.98084634e+04 -4.64295021e+04 1.57658298e+04
7.07321681e+03 -3.01996552e+04 9.00948660e+03 -3.58746660e+04]
[ 1.63605103e+04 -7.85665603e+03 2.98770106e+04 1.19621453e+04
-1.57981034e+03 1.33599859e+04 1.77817798e+03 1.38016848e+04
-1.97072255e+03 1.32818654e+04 -5.17350883e+03 1.83301369e+04
-5.36756761e+03 1.36610495e+01 -9.02789316e+03 1.60658077e+04
1.14619641e+04 -3.27683019e+03 1.14935279e+04 -7.39626120e+03]
[ 7.56618387e+03 1.31611761e+04 1.71022236e+03 8.33477534e+03
1.21311494e+04 8.09582680e+03 1.16123845e+04 7.99467397e+03
1.22526228e+04 8.06707269e+03 1.27725336e+04 7.32234962e+03
1.27154720e+04 1.19178787e+04 1.33545923e+04 7.63434499e+03
8.34405777e+03 1.18597380e+04 8.40963972e+03 1.30667641e+04]
[ 6.26994136e+04 9.21794814e+04 -9.48768176e+01 6.54645382e+04
8.86989726e+04 6.46227678e+04 8.68274506e+04 6.40128790e+04
8.89434087e+04 6.44563011e+04 9.07730616e+04 6.16504444e+04
9.06107337e+04 8.80497280e+04 9.29057945e+04 6.30197283e+04
6.52288536e+04 8.45354884e+04 6.56974811e+04 9.17344077e+04]
[ 1.67240488e+05 2.50301380e+05 -7.10444126e+03 1.75640304e+05
2.39463655e+05 1.73099627e+05 2.33901067e+05 1.71387884e+05
2.40342886e+05 1.72721973e+05 2.45914442e+05 1.64192452e+05
2.45570428e+05 2.37417183e+05 2.52618558e+05 1.68234017e+05
1.75034662e+05 2.29213649e+05 1.76462412e+05 2.49105443e+05]
[ 2.17283376e+05 4.90391078e+05 7.94677945e+03 2.54622214e+05
4.41986481e+05 2.43048508e+05 4.17096607e+05 2.38138545e+05
4.47821051e+05 2.42167147e+05 4.72799463e+05 2.04615630e+05
4.69845020e+05 4.31166264e+05 4.97815190e+05 2.20263245e+05
2.55852636e+05 4.27818919e+05 2.57713597e+05 4.86375116e+05]
[ 4.43594318e+05 1.03692424e+06 3.83378118e+03 5.26292661e+05
9.29696358e+05 5.01009825e+05 8.77908696e+05 4.91254628e+05
9.44507594e+05 4.98884766e+05 9.98339429e+05 4.17792843e+05
9.92257923e+05 9.06900845e+05 1.05318597e+06 4.51042863e+05
5.30028514e+05 9.00896710e+05 5.32970231e+05 1.02852315e+06]
[ 1.00308476e+06 1.91428341e+06 2.26753035e+04 1.12451401e+06
1.75884626e+06 1.08840325e+06 1.68836092e+06 1.07376760e+06
1.78267814e+06 1.08498485e+06 1.85856765e+06 9.69490501e+05
1.85154556e+06 1.72778003e+06 1.93867760e+06 1.01651582e+06
1.12916617e+06 1.69983012e+06 1.13504160e+06 1.90339340e+06]
[ 2.82365522e+06 4.26824777e+06 3.92329287e+05 2.97407156e+06
4.08907672e+06 2.93164564e+06 4.01066656e+06 2.90864676e+06
4.12021266e+06 2.92475691e+06 4.20672421e+06 2.79286583e+06
4.19808936e+06 4.05824618e+06 4.29721934e+06 2.84905590e+06
2.97048952e+06 3.90129991e+06 2.98428314e+06 4.25467834e+06]
[ 4.92629464e+06 6.74510864e+06 1.03668869e+06 5.07230700e+06
6.58941322e+06 5.03848755e+06 6.53872730e+06 5.00434728e+06
6.62872386e+06 5.02586655e+06 6.70094046e+06 4.91908391e+06
6.68633880e+06 6.57433957e+06 6.76961792e+06 4.96421421e+06
5.05557067e+06 6.24749276e+06 5.08452952e+06 6.73618017e+06]
[ 7.71937781e+06 9.70565707e+06 2.06710125e+06 7.81330006e+06
9.63750361e+06 7.80851697e+06 9.65352967e+06 7.75869688e+06
9.68410919e+06 7.78728470e+06 9.71003509e+06 7.76092886e+06
9.68244987e+06 9.65867380e+06 9.71107426e+06 7.77021386e+06
7.77438559e+06 9.10465029e+06 7.83084403e+06 9.71000938e+06]
[ 1.05621554e+07 1.22761822e+07 3.55968160e+06 1.05185904e+07
1.24094814e+07 1.05767847e+07 1.25664980e+07 1.05144104e+07
1.24607325e+07 1.05413814e+07 1.23795791e+07 1.07008877e+07
1.23386806e+07 1.25083151e+07 1.22417188e+07 1.06284350e+07
1.04474636e+07 1.16525478e+07 1.05376747e+07 1.22995739e+07]
[ 1.33273190e+07 1.46076833e+07 5.15959771e+06 1.31387082e+07
1.49430534e+07 1.32632460e+07 1.52574193e+07 1.31931168e+07
1.50017858e+07 1.32091609e+07 1.48079586e+07 1.35716851e+07
1.47562690e+07 1.51302209e+07 1.45344602e+07 1.34141973e+07
1.30274176e+07 1.40007423e+07 1.31646669e+07 1.46450251e+07]
[ 1.51097168e+07 1.70848479e+07 5.98361879e+06 1.49594354e+07
1.73536956e+07 1.51005575e+07 1.76659644e+07 1.49946592e+07
1.74422564e+07 1.50247295e+07 1.72824821e+07 1.53781499e+07
1.71955059e+07 1.75642348e+07 1.69952088e+07 1.52229880e+07
1.48229283e+07 1.62625573e+07 1.50122208e+07 1.71069734e+07]
[ 1.27664248e+07 1.56986272e+07 4.48430510e+06 1.28106297e+07
1.56600002e+07 1.28990220e+07 1.58194384e+07 1.27593770e+07
1.57848562e+07 1.28197995e+07 1.57856693e+07 1.29452774e+07
1.56691875e+07 1.58195734e+07 1.56348822e+07 1.28849669e+07
1.26790427e+07 1.46958455e+07 1.28970021e+07 1.56854072e+07]
[ 4.99321500e+06 8.57894968e+06 6.80915942e+05 5.36394771e+06
8.03765638e+06 5.31928463e+06 7.91424571e+06 5.17405578e+06
8.18427530e+06 5.25892083e+06 8.44829068e+06 4.96388844e+06
8.32394751e+06 8.06378732e+06 8.60369539e+06 5.08614441e+06
5.26986260e+06 7.59131549e+06 5.48282210e+06 8.51772632e+06]
[-3.59752032e+06 4.00859592e+05 -3.50297679e+06 -2.84512860e+06
-6.96774616e+05 -3.06744136e+06 -1.15467815e+06 -3.18837728e+06
-5.49525582e+05 -3.10181277e+06 8.92317291e+03 -3.88089180e+06
-1.04761195e+05 -8.60307449e+05 5.58159016e+05 -3.54032281e+06
-2.88329502e+06 -4.54021846e+05 -2.70123007e+06 2.97602929e+05]
[-8.32447419e+06 -4.22235140e+06 -5.13072770e+06 -7.29809802e+06
-5.68147918e+06 -7.65488347e+06 -6.34742370e+06 -7.73097431e+06
-5.54235793e+06 -7.67660101e+06 -4.79534184e+06 -8.76411950e+06
-4.89040636e+06 -5.99535062e+06 -3.95290755e+06 -8.27689327e+06
-7.29135715e+06 -4.93049760e+06 -7.14444638e+06 -4.34066662e+06]
[-6.42760815e+06 -2.07075217e+06 -3.77567924e+06 -5.34800869e+06
-3.54571478e+06 -5.73178362e+06 -4.22025724e+06 -5.77792428e+06
-3.41161932e+06 -5.76066503e+06 -2.65631830e+06 -6.85591103e+06
-2.74743334e+06 -3.90336148e+06 -1.77627175e+06 -6.35708650e+06
-5.32920222e+06 -2.83354338e+06 -5.20604775e+06 -2.17318284e+06]
[-2.40982810e+06 1.18141794e+06 -1.58082731e+06 -1.54282729e+06
4.97092441e+04 -1.84791060e+06 -4.21260319e+05 -1.86850648e+06
1.73263003e+05 -1.88544394e+06 7.44710383e+05 -2.69333327e+06
6.56065479e+05 -2.37037265e+05 1.42162572e+06 -2.31974943e+06
-1.53703010e+06 5.02569121e+05 -1.42550910e+06 1.13016240e+06]
[ 2.90418695e+06 4.83973703e+06 1.25850310e+06 3.35547939e+06
4.32439263e+06 3.20233118e+06 4.21102392e+06 3.20059682e+06
4.42526801e+06 3.15757552e+06 4.66672461e+06 2.85762762e+06
4.59785307e+06 4.20636873e+06 4.98176998e+06 3.00311996e+06
3.32765819e+06 4.40069846e+06 3.43535209e+06 4.85229075e+06]
[ 7.65569469e+06 7.67778409e+06 4.11057010e+06 7.59774450e+06
7.89586052e+06 7.62415541e+06 8.18856075e+06 7.63546844e+06
7.94955539e+06 7.57870636e+06 7.80489532e+06 7.86337238e+06
7.77326037e+06 7.98514645e+06 7.70582792e+06 7.74393902e+06
7.52533678e+06 7.51230600e+06 7.63282250e+06 7.75202305e+06]
[ 7.97133915e+06 6.18570045e+06 4.94372768e+06 7.55986178e+06
6.87424188e+06 7.70881090e+06 7.38708518e+06 7.72827461e+06
6.89031211e+06 7.67116364e+06 6.50748094e+06 8.31114222e+06
6.48663688e+06 7.08363227e+06 6.12103262e+06 8.02146417e+06
7.47470827e+06 6.37479603e+06 7.56631766e+06 6.29722297e+06]
[ 6.72957356e+06 4.04255990e+06 4.84530296e+06 6.16399156e+06
4.91563979e+06 6.36695255e+06 5.47051147e+06 6.38471084e+06
4.90003233e+06 6.33847120e+06 4.43788504e+06 7.08886605e+06
4.40987243e+06 5.15927954e+06 3.92506521e+06 6.74114347e+06
6.08217355e+06 4.43847063e+06 6.15218560e+06 4.15836663e+06]
[ 4.99272125e+06 2.36593345e+06 4.01430275e+06 4.46204018e+06
3.16458342e+06 4.65913297e+06 3.63271436e+06 4.66624309e+06
3.13948989e+06 4.63721668e+06 2.72897016e+06 5.29716305e+06
2.68702997e+06 3.37996511e+06 2.23253339e+06 4.98119596e+06
4.39822586e+06 2.78576353e+06 4.44436695e+06 2.45888057e+06]
[ 2.81947468e+06 9.93074587e+05 2.88839169e+06 2.45440650e+06
1.54197894e+06 2.60488447e+06 1.84694471e+06 2.59633559e+06
1.52907687e+06 2.58588442e+06 1.25742283e+06 3.02986938e+06
1.19349906e+06 1.68843391e+06 8.69411929e+05 2.80017224e+06
2.41457081e+06 1.28085197e+06 2.44407588e+06 1.05169571e+06]
[ 8.78754551e+05 -1.00944147e+04 1.39330981e+06 7.06301285e+05
2.49617835e+05 7.92966610e+05 3.84462190e+05 7.74427668e+05
2.53634318e+05 7.80872359e+05 1.32065010e+05 9.84306716e+05
6.70729543e+04 3.17716766e+05 -9.86805473e+04 8.60590544e+05
6.89924272e+05 1.22818820e+05 7.07834061e+05 1.91864894e+04]
[-2.86015734e+05 -5.36931918e+05 2.17953553e+05 -3.24775988e+05
-4.81139483e+05 -2.94259247e+05 -4.56458257e+05 -3.08849185e+05
-4.71893676e+05 -2.99849939e+05 -4.94327784e+05 -2.58341983e+05
-5.32609104e+05 -4.66861022e+05 -5.76219684e+05 -2.97020841e+05
-3.24935907e+05 -5.01181443e+05 -3.17093202e+05 -5.27571973e+05]
[ 6.10367881e+04 3.67910203e+04 6.08423615e+04 5.43487668e+04
4.67742527e+04 5.93212793e+04 5.08142689e+04 5.69194044e+04
4.76949330e+04 5.85934608e+04 4.38348059e+04 6.57021999e+04
3.81302632e+04 4.91674447e+04 3.05913013e+04 5.96798594e+04
5.36756212e+04 3.79175705e+04 5.52527314e+04 3.82271091e+04]
[ 1.38976020e+04 3.24770016e+02 1.83988384e+04 1.12854775e+04
4.12814740e+03 1.21987296e+04 6.27216793e+03 1.23717011e+04
3.85610313e+03 1.21739283e+04 1.93774810e+03 1.51667080e+04
1.83417716e+03 5.11762830e+03 -3.44681273e+02 1.38235766e+04
1.08995818e+04 2.79455871e+03 1.10925798e+04 6.41180399e+02]
[ 1.22756973e+03 2.13681420e+03 2.76570546e+02 1.35214670e+03
1.96957588e+03 1.31351292e+03 1.88422745e+03 1.29801766e+03
1.98946854e+03 1.30865167e+03 2.07342139e+03 1.18783743e+03
2.06363489e+03 1.93394814e+03 2.16840921e+03 1.23938058e+03
1.35399154e+03 1.92397914e+03 1.36474106e+03 2.12188885e+03]
[ 7.34948068e+04 1.18534587e+05 -7.14319979e+03 7.68094757e+04
1.14639177e+05 7.57821147e+04 1.12309490e+05 7.49496367e+04
1.14730494e+05 7.55403679e+04 1.16897453e+05 7.21973278e+04
1.16707554e+05 1.13893472e+05 1.19433931e+05 7.39950230e+04
7.62817682e+04 1.06458396e+05 7.69430508e+04 1.17888878e+05]
[ 2.65802087e+05 4.06597658e+05 -1.93446107e+04 2.80379217e+05
3.87772568e+05 2.75957940e+05 3.77737306e+05 2.72971081e+05
3.89200200e+05 2.75358967e+05 3.99039765e+05 2.60182966e+05
3.98326337e+05 3.83975328e+05 4.10308238e+05 2.67313435e+05
2.79607401e+05 3.71196390e+05 2.81755508e+05 4.04544559e+05]
[ 6.20461868e+05 1.04434103e+06 2.30516339e+04 6.67374503e+05
9.84332113e+05 6.53540011e+05 9.52419564e+05 6.45088202e+05
9.90409957e+05 6.51767245e+05 1.02186277e+06 6.04671714e+05
1.01825467e+06 9.71507355e+05 1.05448677e+06 6.25410001e+05
6.66499727e+05 9.40350497e+05 6.71372655e+05 1.03853328e+06]
[ 1.36520277e+06 2.15170869e+06 6.99521760e+04 1.44763522e+06
2.04788242e+06 1.42379483e+06 1.99871426e+06 1.40923215e+06
2.06060031e+06 1.41945276e+06 2.11273909e+06 1.34198824e+06
2.10731531e+06 2.02884429e+06 2.17145961e+06 1.37649602e+06
1.44416418e+06 1.95327550e+06 1.45469295e+06 2.14135484e+06]
[ 2.74779198e+06 4.13603390e+06 2.01618638e+05 2.88487169e+06
3.96523309e+06 2.84815451e+06 3.88605663e+06 2.82217117e+06
3.98809029e+06 2.83896909e+06 4.07287070e+06 2.71551993e+06
4.06349945e+06 3.93590638e+06 4.16850797e+06 2.77129012e+06
2.87717383e+06 3.77890542e+06 2.89798855e+06 4.11992872e+06]
[ 5.17817089e+06 7.34319965e+06 5.80750170e+05 5.36305572e+06
7.11967091e+06 5.31808840e+06 7.02133140e+06 5.27387125e+06
7.15285595e+06 5.30221443e+06 7.26408504e+06 5.14407660e+06
7.24889603e+06 7.08810123e+06 7.38592061e+06 5.21898610e+06
5.34220478e+06 6.76645661e+06 5.38249036e+06 7.32175121e+06]
[ 8.41212020e+06 1.13514308e+07 1.15177741e+06 8.62902411e+06
1.10952791e+07 8.58848132e+06 1.09940332e+07 8.51543494e+06
1.11433779e+07 8.56057686e+06 1.12719569e+07 8.38919117e+06
1.12388032e+07 1.10710026e+07 1.13955669e+07 8.47202085e+06
8.59021392e+06 1.05364354e+07 8.66112331e+06 1.13293890e+07]
[ 1.24943345e+07 1.59574130e+07 2.28906029e+06 1.26787042e+07
1.57577087e+07 1.26758144e+07 1.57134111e+07 1.25682351e+07
1.58202761e+07 1.26262904e+07 1.59207033e+07 1.25290735e+07
1.58608799e+07 1.57742985e+07 1.59825178e+07 1.25797183e+07
1.26112798e+07 1.49323402e+07 1.27265025e+07 1.59401030e+07]
[ 1.56002545e+07 1.91454999e+07 3.42668184e+06 1.56969958e+07
1.90625181e+07 1.57558742e+07 1.91189723e+07 1.56164303e+07
1.91448587e+07 1.56810663e+07 1.91822887e+07 1.57192249e+07
1.90900958e+07 1.91456571e+07 1.91313752e+07 1.57094346e+07
1.55991165e+07 1.80089020e+07 1.57624036e+07 1.91378914e+07]
[ 1.82098559e+07 2.18049320e+07 4.91270709e+06 1.82161022e+07
2.18387120e+07 1.83354440e+07 2.19899671e+07 1.81671778e+07
2.19398473e+07 1.82369246e+07 2.19165188e+07 1.84097378e+07
2.17884160e+07 2.19898909e+07 2.17440583e+07 1.83402260e+07
1.80839218e+07 2.05682706e+07 1.82968795e+07 2.18008834e+07]
[ 1.77679335e+07 2.18050832e+07 4.64651713e+06 1.78043055e+07
2.17729550e+07 1.79378249e+07 2.19003982e+07 1.77318022e+07
2.19009907e+07 1.78319281e+07 2.19145522e+07 1.79689344e+07
2.17532049e+07 2.19409480e+07 2.17181662e+07 1.79000205e+07
1.76635480e+07 2.04385957e+07 1.79070970e+07 2.17873121e+07]
[ 1.20124789e+07 1.59569144e+07 2.08731269e+06 1.21558225e+07
1.57342069e+07 1.22366187e+07 1.57437083e+07 1.20262005e+07
1.58716803e+07 1.21534548e+07 1.59844148e+07 1.21104298e+07
1.58263860e+07 1.58594549e+07 1.58929093e+07 1.21064635e+07
1.20404946e+07 1.47039595e+07 1.22682930e+07 1.59169297e+07]
[ 7.18738296e+05 4.17008456e+06 -3.02665629e+06 1.15220302e+06
3.50392991e+06 1.07163544e+06 3.23921601e+06 8.99818737e+05
3.63296465e+06 1.03242847e+06 3.97547002e+06 5.73733459e+05
3.85168355e+06 3.47380764e+06 4.22254670e+06 7.47549747e+05
1.10220397e+06 3.28546555e+06 1.27655657e+06 4.09704214e+06]
[-1.02626224e+07 -7.04865055e+06 -7.60705860e+06 -9.41825692e+06
-8.29867605e+06 -9.71788594e+06 -8.91708018e+06 -9.81702046e+06
-8.18877113e+06 -9.72410304e+06 -7.54115599e+06 -1.06950975e+07
-7.62825091e+06 -8.55759895e+06 -6.82305451e+06 -1.02809968e+07
-9.39255670e+06 -7.57123787e+06 -9.28330956e+06 -7.16452549e+06]
[-1.55894422e+07 -1.23144215e+07 -9.26929617e+06 -1.44347671e+07
-1.39654611e+07 -1.48897809e+07 -1.48187461e+07 -1.49256206e+07
-1.38670290e+07 -1.48824718e+07 -1.30117045e+07 -1.61976302e+07
-1.30742841e+07 -1.44018206e+07 -1.19635825e+07 -1.56145756e+07
-1.43512310e+07 -1.26519306e+07 -1.42987521e+07 -1.24466790e+07]
[-1.12911093e+07 -7.61339446e+06 -6.46460344e+06 -1.01625620e+07
-9.16142754e+06 -1.05987696e+07 -9.93691242e+06 -1.06067807e+07
-9.05537831e+06 -1.06093947e+07 -8.25906150e+06 -1.18125669e+07
-8.32799161e+06 -9.59255370e+06 -7.27895760e+06 -1.12693863e+07
-1.00870574e+07 -8.10987428e+06 -1.00458051e+07 -7.72233555e+06]
[-2.68790675e+06 9.40642108e+05 -2.31009124e+06 -1.81900316e+06
-1.91038302e+05 -2.12861812e+06 -6.90806141e+05 -2.13518272e+06
-7.55602945e+04 -2.16626503e+06 4.93490478e+05 -2.98624305e+06
4.15924966e+05 -4.96597777e+05 1.18383078e+06 -2.60650503e+06
-1.78697364e+06 2.64170052e+05 -1.72405974e+06 8.81790668e+05]
[ 5.97645746e+06 8.72227778e+06 1.93130838e+06 6.42903610e+06
8.21072670e+06 6.29274575e+06 8.10782250e+06 6.28826574e+06
8.32047354e+06 6.23207785e+06 8.54991988e+06 5.96284456e+06
8.49098138e+06 8.10861889e+06 8.85663737e+06 6.10314516e+06
6.40093527e+06 8.03219470e+06 6.49581141e+06 8.72044041e+06]
[ 1.12149329e+07 1.17887520e+07 5.17027446e+06 1.11118639e+07
1.20733952e+07 1.11611458e+07 1.24255550e+07 1.11790241e+07
1.21291735e+07 1.11004997e+07 1.19350505e+07 1.14769078e+07
1.19301136e+07 1.22031076e+07 1.18175327e+07 1.13390348e+07
1.10213115e+07 1.14227429e+07 1.11337428e+07 1.18551514e+07]
[ 1.12666943e+07 9.76798865e+06 6.37949680e+06 1.07929892e+07
1.05525631e+07 1.09484024e+07 1.11412630e+07 1.09870023e+07
1.05514850e+07 1.09045248e+07 1.01050434e+07 1.16487090e+07
1.01353845e+07 1.08051163e+07 9.73011617e+06 1.13474483e+07
1.06799253e+07 9.83605851e+06 1.07818525e+07 9.87535027e+06]
[ 9.73347965e+06 7.35616319e+06 6.28689828e+06 9.13433254e+06
8.28942311e+06 9.32175943e+06 8.90076794e+06 9.36056596e+06
8.25531992e+06 9.29423014e+06 7.74989183e+06 1.01120965e+07
7.77936650e+06 8.56480731e+06 7.28339061e+06 9.77241480e+06
9.02094937e+06 7.64862835e+06 9.10538607e+06 7.46624950e+06]
[ 7.07423432e+06 4.94696780e+06 4.77551222e+06 6.57279814e+06
5.71487365e+06 6.73251617e+06 6.18114315e+06 6.75340283e+06
5.67846687e+06 6.71632931e+06 5.27607933e+06 7.36092959e+06
5.28276937e+06 5.93169757e+06 4.86744431e+06 7.08498948e+06
6.48697443e+06 5.24783019e+06 6.54578941e+06 5.03158535e+06]
[ 4.23763731e+06 2.73718521e+06 3.38981464e+06 3.89145952e+06
3.26820773e+06 4.00923390e+06 3.57416660e+06 4.01858876e+06
3.24170635e+06 3.99700287e+06 2.97234663e+06 4.43168749e+06
2.95531068e+06 3.41431569e+06 2.65988643e+06 4.23524769e+06
3.83569763e+06 2.95485589e+06 3.86909023e+06 2.78825768e+06]
[ 1.44682529e+06 6.36702302e+05 1.61442981e+06 1.27602349e+06
8.96811447e+05 1.34408530e+06 1.04090447e+06 1.34338572e+06
8.89241298e+05 1.33598928e+06 7.60580685e+05 1.54569095e+06
7.32942052e+05 9.67670382e+05 5.78963357e+05 1.43933130e+06
1.25323179e+06 7.60709595e+05 1.26674650e+06 6.60216173e+05]
[ 1.08529516e+05 -1.37286314e+05 3.89578548e+05 6.34668591e+04
-7.00816443e+04 8.66968902e+04 -3.44814268e+04 8.27669237e+04
-6.82907294e+04 8.32105960e+04 -1.00291285e+05 1.37006434e+05
-1.17690234e+05 -5.17790842e+04 -1.61683334e+05 1.03586553e+05
5.97853400e+04 -9.85322724e+04 6.35420947e+04 -1.30646875e+05]
[ 5.09485803e+03 -7.81767548e+03 1.76999746e+04 2.56135604e+03
-4.02341722e+03 4.71093179e+03 -1.93856178e+03 3.63065916e+03
-3.46964905e+03 4.37675042e+03 -5.03453241e+03 7.22830012e+03
-7.35984213e+03 -2.71845472e+03 -1.03356362e+04 4.62405076e+03
2.25479118e+03 -6.50698299e+03 3.12682436e+03 -7.36163587e+03]
[-7.75350974e+03 -7.88604325e+03 -1.69925986e+03 -7.48835761e+03
-8.28361160e+03 -7.42071360e+03 -8.53847677e+03 -7.59717078e+03
-8.14732528e+03 -7.47484091e+03 -7.88486794e+03 -7.81527418e+03
-8.22534023e+03 -8.36970232e+03 -8.10599633e+03 -7.85638999e+03
-7.38875864e+03 -7.87156625e+03 -7.34016754e+03 -7.87389768e+03]
[-5.60559161e+00 -3.14030229e+00 -8.99079858e+00 -5.75209065e+00
-4.66728338e+00 -5.08535518e+00 -4.34486877e+00 -6.39872405e+00
-3.20593113e+00 -6.01881804e+00 -3.56574633e+00 -5.62598342e+00
-4.76288222e+00 -4.39164750e+00 -3.47875084e+00 -5.21821956e+00
-4.49098974e+00 -4.76279282e+00 -5.65928095e+00 -3.55554408e+00]
[ 7.41921651e+04 1.12822080e+05 -7.44058429e+03 7.76683137e+04
1.08473099e+05 7.65781962e+04 1.05999119e+05 7.58561557e+04
1.08665544e+05 7.63775427e+04 1.11002071e+05 7.27885607e+04
1.10817308e+05 1.07592195e+05 1.13762036e+05 7.46011655e+04
7.73272622e+04 1.02818484e+05 7.78816623e+04 1.12196118e+05]
[ 3.01901312e+05 4.55375195e+05 -4.21104766e+03 3.17160304e+05
4.35968812e+05 3.12629141e+05 4.25498409e+05 3.09404673e+05
4.37420160e+05 3.11945477e+05 4.47673687e+05 2.96293291e+05
4.46841054e+05 4.32067698e+05 4.59142370e+05 3.03657544e+05
3.16246543e+05 4.16506665e+05 3.18512023e+05 4.53177607e+05]
[ 7.66568765e+05 1.21705913e+06 1.84780954e+04 8.13601010e+05
1.15654993e+06 8.00246564e+05 1.12463647e+06 7.90966154e+05
1.16286902e+06 7.97848374e+05 1.19447562e+06 7.51291460e+05
1.19031622e+06 1.14427716e+06 1.22752968e+06 7.72275146e+05
8.11616722e+05 1.10423607e+06 8.17845190e+05 1.21075689e+06]
[ 1.88832011e+06 2.74822767e+06 1.96183324e+05 1.96584748e+06
2.65211359e+06 1.94552956e+06 2.60598503e+06 1.92845243e+06
2.66369421e+06 1.93896629e+06 2.71267879e+06 1.86952211e+06
2.70541935e+06 2.63604038e+06 2.76701401e+06 1.90186614e+06
1.95869584e+06 2.52279231e+06 1.97284580e+06 2.73692610e+06]
[ 3.81123485e+06 5.38391988e+06 4.40537665e+05 3.94445658e+06
5.21817587e+06 3.91419109e+06 5.13979197e+06 3.88132100e+06
5.24163359e+06 3.89963447e+06 5.32565563e+06 3.78668169e+06
5.31027962e+06 5.19310077e+06 5.41429527e+06 3.84161854e+06
3.92906043e+06 4.96552203e+06 3.95887750e+06 5.36536580e+06]
[ 6.13847483e+06 8.52403445e+06 6.41749459e+05 6.32752920e+06
8.28580604e+06 6.29049438e+06 8.17775177e+06 6.23160791e+06
8.32302658e+06 6.26717594e+06 8.44517678e+06 6.10753193e+06
8.41814909e+06 8.25553167e+06 8.56457326e+06 6.18663523e+06
6.29998471e+06 7.87864364e+06 6.35462060e+06 8.49989440e+06]
[ 9.22619006e+06 1.25929447e+07 9.04217376e+05 9.48391078e+06
1.22584381e+07 9.44969876e+06 1.21124428e+07 9.34754636e+06
1.23204342e+07 9.40887929e+06 1.24946230e+07 9.19568939e+06
1.24382148e+07 1.22240579e+07 1.26372534e+07 9.29829939e+06
9.44348146e+06 1.16661390e+07 9.53661010e+06 1.25641556e+07]
[ 1.31328778e+07 1.73074973e+07 1.65109658e+06 1.34037125e+07
1.69547321e+07 1.34076494e+07 1.68229212e+07 1.32523334e+07
1.70434936e+07 1.33377291e+07 1.72308741e+07 1.31483061e+07
1.71314082e+07 1.69468147e+07 1.73300074e+07 1.32360918e+07
1.33441686e+07 1.61062043e+07 1.34863060e+07 1.72790636e+07]
[ 1.59102619e+07 2.03346208e+07 2.51971391e+06 1.61189946e+07
2.00580227e+07 1.61842017e+07 2.00006986e+07 1.59829281e+07
2.01700337e+07 1.60871725e+07 2.03213266e+07 1.59970953e+07
2.01761339e+07 2.01105983e+07 2.03109464e+07 1.60355035e+07
1.60323181e+07 1.89834147e+07 1.62261147e+07 2.03091199e+07]
[ 1.60878132e+07 1.94980937e+07 3.30472216e+06 1.60809845e+07
1.95001914e+07 1.62426670e+07 1.96176910e+07 1.60247780e+07
1.96164773e+07 1.61326883e+07 1.96232614e+07 1.62869387e+07
1.94481634e+07 1.96587438e+07 1.93964864e+07 1.62061391e+07
1.59651886e+07 1.83041451e+07 1.61911200e+07 1.94903024e+07]
[ 1.24087858e+07 1.46434369e+07 2.84978187e+06 1.22535490e+07
1.48273718e+07 1.24596984e+07 1.50362732e+07 1.22447029e+07
1.49437174e+07 1.23661188e+07 1.48563052e+07 1.26455464e+07
1.46743804e+07 1.50505777e+07 1.44827604e+07 1.24829758e+07
1.21396926e+07 1.37271167e+07 1.23518075e+07 1.46436345e+07]
[ 5.26599936e+06 6.04500515e+06 1.07025304e+06 5.07516828e+06
6.26875720e+06 5.24056185e+06 6.46927863e+06 5.07231232e+06
6.35773136e+06 5.18918027e+06 6.24846276e+06 5.43929555e+06
6.11201872e+06 6.47918572e+06 5.90172884e+06 5.27352204e+06
4.99367679e+06 5.59574657e+06 5.14623938e+06 6.04567371e+06]
[-6.74300316e+06 -6.71628021e+06 -3.69601128e+06 -6.59562275e+06
-6.97883162e+06 -6.63183012e+06 -7.07550755e+06 -6.72199731e+06
-6.91176621e+06 -6.63654374e+06 -6.77076535e+06 -6.83799001e+06
-6.85324118e+06 -6.96191818e+06 -6.70696869e+06 -6.79899326e+06
-6.59927883e+06 -6.67839941e+06 -6.52587152e+06 -6.75229643e+06]
[-2.04520812e+07 -2.10100977e+07 -8.78616141e+06 -1.98036504e+07
-2.19798939e+07 -2.01123255e+07 -2.24924482e+07 -2.00920498e+07
-2.19395787e+07 -2.00804085e+07 -2.14344220e+07 -2.08921571e+07
-2.14617272e+07 -2.22501203e+07 -2.07788580e+07 -2.05530542e+07
-1.97102791e+07 -2.04412906e+07 -1.97272723e+07 -2.10939131e+07]
[-2.49360575e+07 -2.55668325e+07 -9.75584178e+06 -2.40485027e+07
-2.68371692e+07 -2.44857904e+07 -2.75090243e+07 -2.43872785e+07
-2.68120327e+07 -2.44489413e+07 -2.61584476e+07 -2.54992690e+07
-2.61504468e+07 -2.72478198e+07 -2.52218382e+07 -2.50257370e+07
-2.39123480e+07 -2.48164557e+07 -2.39819284e+07 -2.56663257e+07]
[-1.53464554e+07 -1.50564115e+07 -5.40108985e+06 -1.45934017e+07
-1.60710209e+07 -1.49455778e+07 -1.65510887e+07 -1.48417374e+07
-1.60262110e+07 -1.49436096e+07 -1.55188082e+07 -1.57253056e+07
-1.55215672e+07 -1.63977382e+07 -1.47740299e+07 -1.53553760e+07
-1.45020532e+07 -1.47078045e+07 -1.45486108e+07 -1.51288669e+07]
[-1.64203201e+06 -2.90021938e+05 -7.27391960e+02 -1.17448954e+06
-8.48333033e+05 -1.35877526e+06 -1.00223309e+06 -1.28803036e+06
-7.79047290e+05 -1.40412522e+06 -5.27335012e+05 -1.73234640e+06
-5.41587042e+05 -9.97711650e+05 -1.16625437e+05 -1.55024088e+06
-1.15997516e+06 -4.96758029e+05 -1.14503214e+06 -3.22048919e+05]
[ 9.28512257e+06 1.03612005e+07 4.62734932e+06 9.32225090e+06
1.04355437e+07 9.32886654e+06 1.06917091e+07 9.38201003e+06
1.05006316e+07 9.25286090e+06 1.04042593e+07 9.49752720e+06
1.04069462e+07 1.05104929e+07 1.04204203e+07 9.43681018e+06
9.25425299e+06 9.93551580e+06 9.32992629e+06 1.03828520e+07]
[ 1.37248455e+07 1.31894991e+07 6.98416622e+06 1.33378500e+07
1.38590270e+07 1.34796197e+07 1.44502280e+07 1.35416376e+07
1.38776653e+07 1.34098660e+07 1.34661337e+07 1.41290553e+07
1.35177788e+07 1.41093487e+07 1.31806469e+07 1.38706327e+07
1.32127901e+07 1.29991223e+07 1.33207271e+07 1.32687851e+07]
[ 1.24980371e+07 1.08783305e+07 6.75248054e+06 1.19415493e+07
1.17603030e+07 1.21084026e+07 1.24094265e+07 1.21667470e+07
1.17340182e+07 1.20685063e+07 1.12284083e+07 1.28972211e+07
1.13073009e+07 1.20486829e+07 1.08555251e+07 1.25895038e+07
1.18079747e+07 1.09500505e+07 1.19123680e+07 1.09819294e+07]
[ 1.00495813e+07 8.73027335e+06 5.36645887e+06 9.59031005e+06
9.44778408e+06 9.71427008e+06 9.93624203e+06 9.74316977e+06
9.41281090e+06 9.69753738e+06 9.01658942e+06 1.03368842e+07
9.08307217e+06 9.67440207e+06 8.71960651e+06 1.01011616e+07
9.47662803e+06 8.80788353e+06 9.56880359e+06 8.81710802e+06]
[ 6.98730216e+06 6.19445054e+06 3.41112447e+06 6.69939024e+06
6.64681039e+06 6.77037893e+06 6.93904890e+06 6.77591474e+06
6.62055458e+06 6.76557764e+06 6.37871521e+06 7.15284959e+06
6.41845642e+06 6.78780822e+06 6.19307615e+06 7.01161279e+06
6.62303054e+06 6.23857151e+06 6.68951298e+06 6.25151678e+06]
[ 3.90393642e+06 3.46280868e+06 2.19785501e+06 3.73856365e+06
3.72697829e+06 3.78108776e+06 3.88712072e+06 3.77939925e+06
3.71074496e+06 3.77872828e+06 3.57558476e+06 3.99633330e+06
3.58717610e+06 3.80726013e+06 3.45273818e+06 3.91285358e+06
3.69357305e+06 3.48489235e+06 3.73061451e+06 3.49273380e+06]
[ 1.35016705e+06 9.25877969e+05 1.12292561e+06 1.24720451e+06
1.08503077e+06 1.28007182e+06 1.17766815e+06 1.28344999e+06
1.07688265e+06 1.27725077e+06 9.95387245e+05 1.40763098e+06
9.94233917e+05 1.13134391e+06 9.05586687e+05 1.35023036e+06
1.22864561e+06 9.85957533e+05 1.23859299e+06 9.39335076e+05]
[ 2.72211154e+05 2.82048412e+04 4.64859767e+05 2.24641026e+05
9.96567743e+04 2.41749620e+05 1.40663112e+05 2.45345703e+05
9.62846241e+04 2.39982662e+05 5.92983563e+04 2.98831988e+05
5.69851189e+04 1.19518165e+05 1.51262225e+04 2.70919011e+05
2.19052905e+05 7.10257889e+04 2.19685017e+05 3.29079524e+04]
[ 8.40313929e+03 -2.12900779e+04 3.66109581e+04 3.43403911e+03
-1.38965032e+04 5.25201280e+03 -9.44178637e+03 5.65552908e+03
-1.41269920e+04 5.14869467e+03 -1.80454707e+04 1.11547995e+04
-1.83108882e+04 -1.17318786e+04 -2.27425469e+04 8.23065147e+03
2.87351050e+03 -1.56337662e+04 2.95720554e+03 -2.07503091e+04]
[-1.94061619e+03 -1.99840399e+03 9.23368438e+02 -1.86593607e+03
-2.09480200e+03 -1.85335178e+03 -2.16988080e+03 -1.89220395e+03
-2.05538717e+03 -1.87875901e+03 -1.98836107e+03 -1.95207758e+03
-2.09224089e+03 -2.11958085e+03 -2.06544763e+03 -1.97478492e+03
-1.82699000e+03 -1.99909575e+03 -1.83728700e+03 -1.99843558e+03]
[-7.26027607e+02 -4.46968351e+02 -1.22452467e+03 -6.74272865e+02
-5.39894703e+02 -6.76867227e+02 -6.01648920e+02 -6.91335834e+02
-5.02263874e+02 -6.78625700e+02 -4.59854815e+02 -7.35710833e+02
-4.83060645e+02 -5.43490420e+02 -4.53530353e+02 -7.17729719e+02
-6.78618250e+02 -4.98594585e+02 -6.68287292e+02 -4.61656990e+02]
[ 3.23128401e+04 4.91784114e+04 -6.34756567e+01 3.39668993e+04
4.70339481e+04 3.35035203e+04 4.58545796e+04 3.31589841e+04
4.72594668e+04 3.34093065e+04 4.83694061e+04 3.17654276e+04
4.82340499e+04 4.66339012e+04 4.95637377e+04 3.25275046e+04
3.38623657e+04 4.48893238e+04 3.41018285e+04 4.89159482e+04]
[ 2.82418816e+05 4.23731124e+05 1.15301044e+03 2.96631760e+05
4.05614028e+05 2.92465177e+05 3.95867483e+05 2.89506437e+05
4.07084298e+05 2.91758182e+05 4.16618764e+05 2.77404365e+05
4.15758266e+05 4.01905926e+05 4.27258185e+05 2.84074352e+05
2.95905018e+05 3.87987940e+05 2.97919705e+05 4.21757747e+05]
[ 7.44104349e+05 1.15374882e+06 1.22496249e+04 7.87767131e+05
1.09650065e+06 7.75806419e+05 1.06675825e+06 7.67057885e+05
1.10276135e+06 7.73469879e+05 1.13239523e+06 7.30355106e+05
1.12836745e+06 1.08487042e+06 1.16367794e+06 7.49501311e+05
7.86221704e+05 1.05150259e+06 7.92337099e+05 1.14814745e+06]
[ 1.63817414e+06 2.35075100e+06 1.71513016e+05 1.70342483e+06
2.26736327e+06 1.68813281e+06 2.22807422e+06 1.67283376e+06
2.27845582e+06 1.68164273e+06 2.32062653e+06 1.62392083e+06
2.31311920e+06 2.25355219e+06 2.36623705e+06 1.65084700e+06
1.69762791e+06 2.16407523e+06 1.71090563e+06 2.34157774e+06]
[ 3.25856194e+06 4.65321780e+06 4.32297998e+05 3.38102087e+06
4.49431526e+06 3.35721908e+06 4.41899942e+06 3.32351454e+06
4.51779813e+06 3.34157146e+06 4.59992422e+06 3.23693992e+06
4.58042575e+06 4.46965503e+06 4.67831963e+06 3.28819095e+06
3.36853265e+06 4.28352544e+06 3.39896347e+06 4.63743745e+06]
[ 5.18740749e+06 7.50905176e+06 2.03442397e+05 5.39881794e+06
7.22098922e+06 5.36322251e+06 7.08139677e+06 5.29258345e+06
7.26644348e+06 5.33658028e+06 7.41796065e+06 5.14428985e+06
7.37777336e+06 7.17850500e+06 7.54672706e+06 5.23545823e+06
5.38085226e+06 6.89703981e+06 5.43975909e+06 7.48551363e+06]
[ 8.37335936e+06 1.22091375e+07 6.79787914e+04 8.72185541e+06
1.17208497e+07 8.68066163e+06 1.14803650e+07 8.54304704e+06
1.18014923e+07 8.63063913e+06 1.20654968e+07 8.30433162e+06
1.19772674e+07 1.16478270e+07 1.22529781e+07 8.45148857e+06
8.69871756e+06 1.11903584e+07 8.80392550e+06 1.21752697e+07]
[ 1.18839110e+07 1.67524169e+07 2.81047503e+05 1.22793658e+07
1.61893910e+07 1.22738235e+07 1.59276644e+07 1.20668353e+07
1.63027617e+07 1.21925142e+07 1.66141973e+07 1.18423642e+07
1.64699431e+07 1.61312275e+07 1.67708625e+07 1.19912733e+07
1.22443387e+07 1.54084605e+07 1.24011448e+07 1.67140718e+07]
[ 1.29087417e+07 1.77974496e+07 5.45745643e+05 1.32345472e+07
1.73096158e+07 1.32985838e+07 1.71124226e+07 1.30395903e+07
1.74553870e+07 1.31959206e+07 1.77318958e+07 1.29348168e+07
1.75319745e+07 1.73131448e+07 1.77501950e+07 1.30243149e+07
1.31837259e+07 1.63761835e+07 1.33816029e+07 1.77622500e+07]
[ 1.05650966e+07 1.30289830e+07 1.33992872e+06 1.05242056e+07
1.30331607e+07 1.07177035e+07 1.31199899e+07 1.04736920e+07
1.31664510e+07 1.06182017e+07 1.31845434e+07 1.07486724e+07
1.29726834e+07 1.31915382e+07 1.28685446e+07 1.06380875e+07
1.04551380e+07 1.21191315e+07 1.06472494e+07 1.30270164e+07]
[ 6.14104425e+06 5.38926858e+06 3.12806040e+06 5.66286529e+06
6.01983685e+06 5.96015975e+06 6.43657345e+06 5.78880102e+06
6.10799953e+06 5.89238898e+06 5.79610120e+06 6.48242622e+06
5.62102784e+06 6.33647205e+06 5.12864038e+06 6.14305693e+06
5.58001074e+06 5.22653519e+06 5.71723987e+06 5.42966624e+06]
[-1.15666903e+05 -2.98901325e+06 3.26037862e+06 -7.07682337e+05
-2.16779494e+06 -4.50351185e+05 -1.66408340e+06 -5.23347070e+05
-2.12736264e+06 -4.75568682e+05 -2.54450153e+06 2.14247662e+05
-2.64803231e+06 -1.83957212e+06 -3.22595991e+06 -1.69801902e+05
-7.72780212e+05 -2.52154032e+06 -7.10793385e+05 -2.94112920e+06]
[-1.25651408e+07 -1.62389423e+07 -5.91767944e+05 -1.27568093e+07
-1.59658883e+07 -1.27435948e+07 -1.57849433e+07 -1.26995730e+07
-1.59611032e+07 -1.27270046e+07 -1.60975626e+07 -1.25262753e+07
-1.61335552e+07 -1.58714219e+07 -1.62786511e+07 -1.26645797e+07
-1.27451796e+07 -1.52305904e+07 -1.27721406e+07 -1.62339858e+07]
[-2.77077211e+07 -3.20562667e+07 -6.66111215e+06 -2.73421594e+07
-3.25835009e+07 -2.76262642e+07 -3.28498521e+07 -2.74567778e+07
-3.26120977e+07 -2.75757912e+07 -3.23423657e+07 -2.80488542e+07
-3.23054832e+07 -3.28027605e+07 -3.18376713e+07 -2.78442164e+07
-2.72244043e+07 -3.04547584e+07 -2.73443317e+07 -3.21084801e+07]
[-2.95209385e+07 -3.38593481e+07 -7.25912075e+06 -2.90198325e+07
-3.45628857e+07 -2.93711215e+07 -3.49009771e+07 -2.91430786e+07
-3.45977046e+07 -2.93265058e+07 -3.42488603e+07 -2.99135313e+07
-3.41865572e+07 -3.48606044e+07 -3.35712100e+07 -2.96287633e+07
-2.88833019e+07 -3.21779095e+07 -2.90266354e+07 -3.39200715e+07]
[-1.51628501e+07 -1.80145743e+07 -2.27240467e+06 -1.49150140e+07
-1.83091997e+07 -1.51014925e+07 -1.83501174e+07 -1.49098934e+07
-1.83126426e+07 -1.51073191e+07 -1.81961944e+07 -1.52755010e+07
-1.81503345e+07 -1.84389314e+07 -1.78413220e+07 -1.51632646e+07
-1.48550528e+07 -1.69994234e+07 -1.49377081e+07 -1.80429094e+07]
[ 2.43380086e+06 1.16020145e+06 3.89998892e+06 2.31215638e+06
1.43398832e+06 2.34443905e+06 1.79031945e+06 2.47796444e+06
1.45635124e+06 2.27660439e+06 1.25635772e+06 2.67315211e+06
1.28550072e+06 1.53886440e+06 1.19367399e+06 2.55184128e+06
2.26734073e+06 1.39468414e+06 2.27477623e+06 1.17127411e+06]
[ 1.27260271e+07 1.20975604e+07 6.88407723e+06 1.23313172e+07
1.27580440e+07 1.24980108e+07 1.33683818e+07 1.25859076e+07
1.27823979e+07 1.24097377e+07 1.23667963e+07 1.31571355e+07
1.24107162e+07 1.30213238e+07 1.20567162e+07 1.28902982e+07
1.22168961e+07 1.19305463e+07 1.22938663e+07 1.21446306e+07]
[ 1.31293654e+07 1.23426834e+07 6.03410902e+06 1.26541865e+07
1.30811448e+07 1.28346628e+07 1.37077885e+07 1.28945240e+07
1.30903940e+07 1.27689027e+07 1.26357578e+07 1.35454400e+07
1.27104792e+07 1.33696588e+07 1.23077820e+07 1.32685330e+07
1.25282642e+07 1.21913875e+07 1.26301109e+07 1.24134716e+07]
[ 1.01796768e+07 9.69196647e+06 4.05357108e+06 9.82259452e+06
1.02376556e+07 9.92780560e+06 1.06851596e+07 9.95337126e+06
1.02297559e+07 9.90059220e+06 9.89927510e+06 1.04467100e+07
9.98707882e+06 1.04504427e+07 9.70763249e+06 1.02652651e+07
9.71527859e+06 9.56332478e+06 9.81802644e+06 9.76168815e+06]
[ 7.47265426e+06 7.78098542e+06 2.01622416e+06 7.32688676e+06
8.00775138e+06 7.34772980e+06 8.20693602e+06 7.33133351e+06
8.00565668e+06 7.34622874e+06 7.86657035e+06 7.57332504e+06
7.93349558e+06 8.11514779e+06 7.83549553e+06 7.51833646e+06
7.25046239e+06 7.57396298e+06 7.34353978e+06 7.82728652e+06]
[ 5.00098895e+06 5.63572243e+06 8.68044333e+05 4.98201007e+06
5.67565993e+06 4.96182720e+06 5.72774615e+06 4.92899622e+06
5.67898155e+06 4.97042071e+06 5.65272965e+06 5.01179048e+06
5.69354796e+06 5.71515062e+06 5.69524782e+06 5.02390663e+06
4.93385535e+06 5.42475057e+06 5.00481074e+06 5.66307524e+06]
[ 2.67642209e+06 3.10518657e+06 4.82040367e+05 2.68160667e+06
3.10581890e+06 2.66455997e+06 3.11549367e+06 2.64034686e+06
3.10879603e+06 2.67132939e+06 3.10882572e+06 2.67053299e+06
3.12706382e+06 3.12165977e+06 3.13888469e+06 2.68576576e+06
2.65583078e+06 2.97722710e+06 2.69516681e+06 3.11764898e+06]
[ 1.05106223e+06 8.78714181e+05 6.10377793e+05 9.96000730e+05
9.63892429e+05 1.00810316e+06 1.01700306e+06 1.00867343e+06
9.58832203e+05 1.00942568e+06 9.13813959e+05 1.07905896e+06
9.22626554e+05 9.92851040e+05 8.77270996e+05 1.05332563e+06
9.81152256e+05 8.97301449e+05 9.91699688e+05 8.86786028e+05]
[ 2.32576175e+05 1.21548912e+04 3.81468593e+05 1.89650471e+05
7.62459359e+04 2.02781942e+05 1.14638942e+05 2.08247476e+05
7.26117012e+04 2.02238304e+05 3.79654640e+04 2.55524475e+05
4.07892895e+04 9.49031431e+04 3.96241548e+03 2.32531802e+05
1.83915847e+05 5.29968734e+04 1.83605532e+05 1.57612229e+04]
[ 5.03052492e+04 4.51559511e+03 9.38802454e+04 4.15856936e+04
1.79018998e+04 4.43975456e+04 2.60432229e+04 4.53956415e+04
1.73484680e+04 4.41504610e+04 1.01088692e+04 5.53092063e+04
1.02964642e+04 2.19093020e+04 2.60692824e+03 5.03192066e+04
4.04115166e+04 1.27443423e+04 4.03351320e+04 5.25053296e+03]
[ 3.28408248e+03 9.81721868e+02 4.42777030e+03 2.81924207e+03
1.67285413e+03 2.95258221e+03 2.05556129e+03 3.01743680e+03
1.61097410e+03 2.94872895e+03 1.25445036e+03 3.50567213e+03
1.27483453e+03 1.84452164e+03 8.93710270e+02 3.28008801e+03
2.75398580e+03 1.39984072e+03 2.75702406e+03 1.02854362e+03]
[-2.48997582e-01 -6.19882567e-01 3.86097949e-01 3.24211253e-01
-2.93855157e-01 -6.38794517e-01 -6.86678647e-01 -5.26020853e-01
-3.43081253e-01 7.39191349e-01 -7.56172107e-01 -6.63714235e-01
-2.59089789e-01 2.08692036e-01 -8.88370002e-01 -5.09547807e-01
6.67942862e-01 3.25767117e-01 -2.97138660e-01 -7.71575371e-01]
[ 4.11224995e+04 5.53953322e+04 -2.87171280e+03 4.19651437e+04
5.44892881e+04 4.16816842e+04 5.39561494e+04 4.13823250e+04
5.43953811e+04 4.15934936e+04 5.49467092e+04 4.06870161e+04
5.49251245e+04 5.42658986e+04 5.56950603e+04 4.12350910e+04
4.17879976e+04 5.13675140e+04 4.19767505e+04 5.52467813e+04]
[ 1.63369782e+05 2.45151951e+05 7.71575625e+01 1.71811938e+05
2.34164308e+05 1.69381327e+05 2.28516325e+05 1.67633138e+05
2.35108413e+05 1.68949498e+05 2.40811860e+05 1.60475653e+05
2.40277668e+05 2.31923697e+05 2.47382730e+05 1.64355670e+05
1.71387217e+05 2.24492062e+05 1.72673822e+05 2.44039548e+05]
[ 4.36432820e+05 6.99753623e+05 1.39399543e+04 4.64742769e+05
6.62010784e+05 4.57489275e+05 6.42581134e+05 4.51640808e+05
6.66218572e+05 4.55683904e+05 6.85935199e+05 4.27517456e+05
6.82421071e+05 6.54101593e+05 7.05408818e+05 4.39885712e+05
4.64028505e+05 6.33729193e+05 4.68076480e+05 6.96309590e+05]
[ 1.17818306e+06 1.75168127e+06 1.30268224e+05 1.23382035e+06
1.67756599e+06 1.22271128e+06 1.64210697e+06 1.20906898e+06
1.68845480e+06 1.21630227e+06 1.72652572e+06 1.16643172e+06
1.71699495e+06 1.66458400e+06 1.76209324e+06 1.18949756e+06
1.23036506e+06 1.60286646e+06 1.24152288e+06 1.74433768e+06]
[ 2.60951525e+06 3.97139259e+06 7.93216278e+04 2.75008538e+06
3.77735408e+06 2.72185953e+06 3.67975206e+06 2.68278795e+06
3.80507091e+06 2.70729220e+06 3.90722657e+06 2.57403193e+06
3.88287980e+06 3.74175038e+06 3.99740500e+06 2.63659992e+06
2.74431381e+06 3.62407616e+06 2.77480458e+06 3.95703817e+06]
[ 4.48529279e+06 7.15957133e+06 -6.31087710e+05 4.77200459e+06
6.74721113e+06 4.72169675e+06 6.52890706e+06 4.62709357e+06
6.80638945e+06 4.69371974e+06 7.02787089e+06 4.40090374e+06
6.97059183e+06 6.67085309e+06 7.20341678e+06 4.53299077e+06
4.76826131e+06 6.48506544e+06 4.83341891e+06 7.13429486e+06]
[ 6.96925048e+06 1.15307396e+07 -1.60040966e+06 7.46028468e+06
1.08114435e+07 7.39204622e+06 1.04257702e+07 7.21054670e+06
1.09170871e+07 7.33933169e+06 1.13110901e+07 6.82449577e+06
1.11914299e+07 1.06774797e+07 1.15838089e+07 7.04675888e+06
7.46471688e+06 1.03744856e+07 7.57683185e+06 1.14903665e+07]
[ 9.17030537e+06 1.50128885e+07 -2.03119737e+06 9.78176284e+06
1.41030628e+07 9.73632233e+06 1.36310536e+07 9.47207466e+06
1.42638483e+07 9.65194489e+06 1.47653730e+07 9.02509338e+06
1.45718555e+07 1.39577153e+07 1.50369275e+07 9.27623445e+06
9.79098753e+06 1.35029900e+07 9.94947156e+06 1.49598548e+07]
[ 8.16027545e+06 1.31803551e+07 -1.97324543e+06 8.61812990e+06
1.24567448e+07 8.66810810e+06 1.20990333e+07 8.36321174e+06
1.26466121e+07 8.56961088e+06 1.30554939e+07 8.10578317e+06
1.28047469e+07 1.23983398e+07 1.31052136e+07 8.24891190e+06
8.62528975e+06 1.18075352e+07 8.79866174e+06 1.31382172e+07]
[ 5.15710998e+06 7.20514539e+06 5.61355334e+04 5.16464077e+06
7.11668277e+06 5.35658477e+06 7.10853061e+06 5.09031743e+06
7.28328520e+06 5.27353152e+06 7.36042960e+06 5.29485685e+06
7.10866832e+06 7.24200223e+06 6.99291426e+06 5.18719736e+06
5.14997511e+06 6.47787140e+06 5.29311901e+06 7.20358886e+06]
[ 2.09345165e+06 4.76538798e+04 4.16688949e+06 1.52944389e+06
8.17977440e+05 1.84754551e+06 1.28165762e+06 1.70267224e+06
9.11536745e+05 1.79747430e+06 5.33365662e+05 2.46637064e+06
3.49190186e+05 1.15201609e+06 -2.73201509e+05 2.05720527e+06
1.48158536e+06 2.60517717e+05 1.55509589e+06 1.01025866e+05]
[-1.72665771e+06 -6.69088064e+06 7.29282664e+06 -2.54566351e+06
-5.48253362e+06 -2.23646207e+06 -4.76788009e+06 -2.22898498e+06
-5.46846292e+06 -2.25650673e+06 -6.08375368e+06 -1.26477625e+06
-6.17665180e+06 -5.08441246e+06 -6.99373347e+06 -1.79490030e+06
-2.60823068e+06 -5.70069882e+06 -2.60878148e+06 -6.61715544e+06]
[-1.65034873e+07 -2.34483853e+07 3.05902277e+06 -1.69954265e+07
-2.26944849e+07 -1.69251475e+07 -2.22278925e+07 -1.67534217e+07
-2.27442752e+07 -1.69096026e+07 -2.31345710e+07 -1.63117640e+07
-2.31384206e+07 -2.25187211e+07 -2.35298411e+07 -1.66157933e+07
-1.69847871e+07 -2.16040054e+07 -1.70791984e+07 -2.34133245e+07]
[-3.21786074e+07 -4.03361956e+07 -3.70431492e+06 -3.22162453e+07
-4.02711346e+07 -3.24010447e+07 -4.01739534e+07 -3.21022515e+07
-4.03563319e+07 -3.23570389e+07 -4.04042051e+07 -3.23243252e+07
-4.03375805e+07 -4.03607408e+07 -4.01833303e+07 -3.23281745e+07
-3.21142684e+07 -3.78052598e+07 -3.22853442e+07 -4.03542346e+07]
[-2.97697266e+07 -3.78102492e+07 -3.01324712e+06 -2.98651750e+07
-3.76607533e+07 -3.00182266e+07 -3.74725872e+07 -2.96929640e+07
-3.77470682e+07 -2.99927750e+07 -3.78559536e+07 -2.98453913e+07
-3.77713710e+07 -3.77174872e+07 -3.76632988e+07 -2.98749946e+07
-2.97818574e+07 -3.53692355e+07 -2.99433319e+07 -3.78227576e+07]
[-1.16249302e+07 -1.72298210e+07 2.09823584e+06 -1.19924217e+07
-1.66610089e+07 -1.19399735e+07 -1.61708085e+07 -1.17025817e+07
-1.67004395e+07 -1.19761813e+07 -1.70476656e+07 -1.13931008e+07
-1.69935139e+07 -1.65177758e+07 -1.72286384e+07 -1.16109709e+07
-1.19977968e+07 -1.57717504e+07 -1.20719834e+07 -1.72125818e+07]
[ 5.94908414e+06 4.00890981e+06 5.46058666e+06 5.51039162e+06
4.68983402e+06 5.70855175e+06 5.29330202e+06 5.80862378e+06
4.71871868e+06 5.61882298e+06 4.30122441e+06 6.37192241e+06
4.30722786e+06 4.95811670e+06 3.90214131e+06 6.07293756e+06
5.43570261e+06 4.23070070e+06 5.46420084e+06 4.03716455e+06]
[ 1.09106077e+07 1.07635564e+07 4.36238474e+06 1.05426349e+07
1.13073991e+07 1.07477059e+07 1.18326581e+07 1.07693711e+07
1.13661937e+07 1.06634297e+07 1.10137499e+07 1.13020879e+07
1.10234100e+07 1.15762913e+07 1.06593664e+07 1.10512259e+07
1.04537662e+07 1.04672981e+07 1.05335350e+07 1.07973829e+07]
[ 8.65100079e+06 9.37726094e+06 1.64672224e+06 8.46346234e+06
9.62512085e+06 8.58040367e+06 9.93342052e+06 8.55774218e+06
9.68421791e+06 8.53222561e+06 9.49608201e+06 8.87513299e+06
9.52964649e+06 9.80389042e+06 9.34398894e+06 8.75384625e+06
8.39576892e+06 8.95936036e+06 8.48780335e+06 9.40650075e+06]
[ 5.41633602e+06 6.52287544e+06 -3.60924132e+05 5.39062532e+06
6.52654971e+06 5.40647394e+06 6.62921847e+06 5.35666264e+06
6.57040355e+06 5.40072282e+06 6.53231111e+06 5.46941916e+06
6.58430095e+06 6.61100206e+06 6.56175053e+06 5.46781010e+06
5.34311713e+06 6.13356694e+06 5.43323259e+06 6.54861357e+06]
[ 4.01082867e+06 5.29793956e+06 -8.23090009e+05 4.08194095e+06
5.17244394e+06 4.03942845e+06 5.14857252e+06 3.97778027e+06
5.20359565e+06 4.05420661e+06 5.25354028e+06 3.97008792e+06
5.30289983e+06 5.19644469e+06 5.37280778e+06 4.03508990e+06
4.04451815e+06 4.94466251e+06 4.12733901e+06 5.31572683e+06]
[ 3.05457871e+06 4.38837500e+06 -9.25385492e+05 3.17933517e+06
4.19708255e+06 3.11434079e+06 4.10473239e+06 3.05287447e+06
4.22005940e+06 3.13323378e+06 4.31746555e+06 2.97206165e+06
4.35021687e+06 4.18131191e+06 4.46747432e+06 3.06598010e+06
3.15372905e+06 4.06271327e+06 3.22125523e+06 4.39817256e+06]
[ 1.84403735e+06 2.57185098e+06 -4.52569839e+05 1.91272532e+06
2.46807441e+06 1.87359724e+06 2.41610437e+06 1.83839740e+06
2.47965289e+06 1.88527776e+06 2.53321642e+06 1.79579145e+06
2.55339988e+06 2.46008806e+06 2.61983164e+06 1.84980695e+06
1.89597207e+06 2.39654130e+06 1.93599814e+06 2.57738407e+06]
[ 5.49132422e+05 6.04479845e+05 -1.35735560e+04 5.39651213e+05
6.15943465e+05 5.35978358e+05 6.26360341e+05 5.29252597e+05
6.16827829e+05 5.40443343e+05 6.09432595e+05 5.48103819e+05
6.20036146e+05 6.27660215e+05 6.13960892e+05 5.49975320e+05
5.30952770e+05 5.84583609e+05 5.42208258e+05 6.08136965e+05]
[ 7.19007574e+04 -1.08603923e+05 1.93923282e+05 3.92525393e+04
-6.19306243e+04 4.85007624e+04 -3.28308979e+04 5.31653233e+04
-6.42797905e+04 4.91024102e+04 -9.05291403e+04 8.79547621e+04
-8.61239394e+04 -4.73970175e+04 -1.13871748e+05 7.15148053e+04
3.53487885e+04 -7.25872048e+04 3.46371304e+04 -1.05868741e+05]
[ 7.23218174e+04 3.13788299e+03 1.23564193e+05 5.93217759e+04
2.28021965e+04 6.29349524e+04 3.50080946e+04 6.50975713e+04
2.16096926e+04 6.29531008e+04 1.07575901e+04 7.92726681e+04
1.21559459e+04 2.84377533e+04 1.05606813e+03 7.24551636e+04
5.75015805e+04 1.62330216e+04 5.72845166e+04 4.37176257e+03]
[ 1.12603687e+04 3.36467775e+03 1.51816435e+04 9.66204467e+03
5.73322716e+03 1.01255238e+04 7.04840140e+03 1.03424784e+04
5.52538617e+03 1.01092459e+04 4.30170302e+03 1.20215402e+04
4.37253488e+03 6.32519128e+03 3.06302326e+03 1.12426989e+04
9.44157861e+03 4.80060620e+03 9.45201055e+03 3.52990074e+03]
[ 1.14052818e-01 -2.27744895e-01 3.74132779e-01 3.61806750e-01
-6.36114490e-01 5.28302130e-01 -6.69646904e-01 -3.51785287e-01
7.40421748e-01 1.43336121e-01 -4.86801613e-01 8.47848803e-01
3.21154861e-01 1.09021067e-01 9.86640787e-01 6.91106661e-01
3.54385609e-01 -8.36538944e-01 -2.71108462e-01 4.33675380e-03]
[ 8.92774822e+03 1.18451475e+04 -1.04351655e+04 9.01317074e+03
1.17093604e+04 9.02612244e+03 1.15736870e+04 8.88737007e+03
1.16371862e+04 8.96458835e+03 1.17379042e+04 8.76651965e+03
1.17287434e+04 1.16339441e+04 1.19184323e+04 8.92081366e+03
9.05029606e+03 1.09229277e+04 9.03170050e+03 1.18318991e+04]
[ 5.81253020e+04 9.00812955e+04 -1.23761839e+04 6.16044349e+04
8.53676146e+04 6.06362120e+04 8.29473423e+04 5.98544270e+04
8.57583876e+04 6.04710450e+04 8.81909278e+04 5.68079163e+04
8.79981083e+04 8.43646549e+04 9.10444467e+04 5.84796095e+04
6.15326010e+04 8.21156548e+04 6.20396729e+04 8.96662111e+04]
[ 1.79827742e+05 3.20173037e+05 1.36778751e+04 1.95912385e+05
2.97909479e+05 1.92266771e+05 2.86940677e+05 1.89206623e+05
3.00915757e+05 1.91022231e+05 3.12440747e+05 1.75281944e+05
3.09726545e+05 2.93299970e+05 3.22678067e+05 1.82063668e+05
1.95774967e+05 2.85377211e+05 1.98088844e+05 3.18327822e+05]
[ 7.95263362e+05 1.33760768e+06 -3.56612138e+04 8.56302916e+05
1.25250474e+06 8.44136691e+05 1.20936354e+06 8.29563329e+05
1.26403725e+06 8.38229090e+05 1.30865052e+06 7.78579724e+05
1.29781375e+06 1.23523208e+06 1.34744167e+06 8.05221132e+05
8.56458965e+05 1.20249870e+06 8.66047686e+05 1.33097742e+06]
[ 2.28201392e+06 3.80286394e+06 -4.72261298e+05 2.45820691e+06
3.55109219e+06 2.41899719e+06 3.41546589e+06 2.36985245e+06
3.58236954e+06 2.40652941e+06 3.71698316e+06 2.22209781e+06
3.69073873e+06 3.49810519e+06 3.83649849e+06 2.30707763e+06
2.45991377e+06 3.43060738e+06 2.49135282e+06 3.78871243e+06]
[ 3.81683004e+06 6.84277277e+06 -1.87694168e+06 4.17346928e+06
6.31331413e+06 4.10739055e+06 6.01838553e+06 3.98901313e+06
6.38344702e+06 4.08088551e+06 6.66978418e+06 3.68819025e+06
6.60382342e+06 6.20346073e+06 6.89794231e+06 3.86303208e+06
4.18649758e+06 6.10534629e+06 4.25311237e+06 6.81794036e+06]
[ 5.28998306e+06 1.02430796e+07 -3.58863463e+06 5.88970820e+06
9.33808239e+06 5.79928608e+06 8.83568190e+06 5.58618657e+06
9.46715871e+06 5.74858578e+06 9.96060884e+06 5.08041004e+06
9.82404791e+06 9.15383378e+06 1.03059226e+07 5.36357893e+06
5.92486045e+06 9.03599297e+06 6.03311928e+06 1.02010653e+07]
[ 6.01455951e+06 1.21692992e+07 -4.59970317e+06 6.74656752e+06
1.10439468e+07 6.67935260e+06 1.04271949e+07 6.37873628e+06
1.12380907e+07 6.60219153e+06 1.18564129e+07 5.78690763e+06
1.16345138e+07 1.08403394e+07 1.21846211e+07 6.10420366e+06
6.79959013e+06 1.06458071e+07 6.94115135e+06 1.21122649e+07]
[ 3.68528208e+06 9.03661045e+06 -4.78941671e+06 4.29371109e+06
8.05367583e+06 4.31323808e+06 7.52323063e+06 3.97335426e+06
8.28541700e+06 4.22779810e+06 8.83326953e+06 3.53388793e+06
8.55116104e+06 7.92661890e+06 8.94413354e+06 3.74901299e+06
4.35781605e+06 7.67071023e+06 4.49792711e+06 8.98405320e+06]
[ 4.74814447e+05 2.65153057e+06 -1.71323044e+06 6.20199146e+05
2.33773715e+06 7.78023230e+05 2.18117741e+06 5.00136484e+05
2.54274123e+06 7.09047713e+05 2.73642019e+06 5.33697004e+05
2.46535677e+06 2.39912064e+06 2.42237353e+06 4.83613781e+05
6.63290972e+05 1.99191506e+06 7.58588256e+05 2.63779254e+06]
[-9.95283504e+05 -3.49459355e+06 4.29758610e+06 -1.51933209e+06
-2.78400974e+06 -1.20624034e+06 -2.35309749e+06 -1.32870244e+06
-2.66941563e+06 -1.25317893e+06 -3.02076530e+06 -6.26808675e+05
-3.21605379e+06 -2.47704392e+06 -3.84154643e+06 -1.03258643e+06
-1.53177534e+06 -3.10636171e+06 -1.49985606e+06 -3.44226324e+06]
[-3.63564456e+06 -1.04718304e+07 9.52505293e+06 -4.62803425e+06
-9.00044315e+06 -4.26317194e+06 -8.11100988e+06 -4.18126298e+06
-9.00131259e+06 -4.29606641e+06 -9.76304713e+06 -3.05633358e+06
-9.85234248e+06 -8.55343949e+06 -1.08190241e+07 -3.69148971e+06
-4.68719819e+06 -9.01790862e+06 -4.72225194e+06 -1.03777499e+07]
[-2.16217478e+07 -3.22714536e+07 4.55285127e+06 -2.24782453e+07
-3.10184279e+07 -2.23059967e+07 -3.02342686e+07 -2.20139118e+07
-3.11194328e+07 -2.23063979e+07 -3.17848389e+07 -2.12576820e+07
-3.17670505e+07 -3.07372867e+07 -3.24095893e+07 -2.17437216e+07
-2.24723964e+07 -2.95219278e+07 -2.26072480e+07 -3.22034728e+07]
[-3.46237387e+07 -4.68329967e+07 -1.12231161e+06 -3.52396476e+07
-4.59817509e+07 -3.52263775e+07 -4.53985406e+07 -3.48294504e+07
-4.61178331e+07 -3.52053192e+07 -4.65920657e+07 -3.44822027e+07
-4.65126595e+07 -4.58563481e+07 -4.68163804e+07 -3.47838197e+07
-3.51724043e+07 -4.34354451e+07 -3.53624229e+07 -4.68005860e+07]
[-2.83066197e+07 -3.93058213e+07 -3.33247206e+04 -2.89877118e+07
-3.83638015e+07 -2.89110929e+07 -3.76811645e+07 -2.85396964e+07
-3.84795642e+07 -2.89144570e+07 -3.90207071e+07 -2.80686696e+07
-3.89298553e+07 -3.81667625e+07 -3.93249692e+07 -2.84100082e+07
-2.89523849e+07 -3.63469313e+07 -2.91113528e+07 -3.92739501e+07]
[-7.29429460e+06 -1.29044397e+07 3.57204771e+06 -7.90437716e+06
-1.20326399e+07 -7.69556928e+06 -1.13411220e+07 -7.51209777e+06
-1.20367832e+07 -7.76038669e+06 -1.25515567e+07 -6.88766627e+06
-1.25388520e+07 -1.17412078e+07 -1.30438949e+07 -7.26105162e+06
-7.93352816e+06 -1.16287620e+07 -7.98012922e+06 -1.28745712e+07]
[ 5.45547786e+06 5.62934101e+06 2.29881700e+06 5.26648937e+06
5.87939512e+06 5.45854756e+06 6.22871545e+06 5.43834264e+06
5.99727759e+06 5.36497340e+06 5.80646398e+06 5.76745330e+06
5.73695287e+06 6.08581476e+06 5.47134761e+06 5.57235826e+06
5.23882682e+06 5.34130672e+06 5.28374571e+06 5.62899249e+06]
[ 5.80541801e+06 8.57278862e+06 -1.08333142e+06 5.95140533e+06
8.30448850e+06 6.04428581e+06 8.31840930e+06 5.93071144e+06
8.46334316e+06 5.97455703e+06 8.55011667e+06 5.91665047e+06
8.47286380e+06 8.38329192e+06 8.47869440e+06 5.91380425e+06
5.95386658e+06 7.71136495e+06 6.02415298e+06 8.55066476e+06]
[ 2.48942089e+06 5.47523476e+06 -4.07075758e+06 2.77324833e+06
4.97706416e+06 2.77029082e+06 4.80059905e+06 2.63339347e+06
5.11650826e+06 2.74790149e+06 5.33528325e+06 2.42834228e+06
5.30165695e+06 4.96887928e+06 5.46471751e+06 2.54408698e+06
2.79897796e+06 4.68206050e+06 2.86564202e+06 5.45294507e+06]
[ 1.67590462e+05 2.43053828e+06 -4.58185051e+06 4.21723689e+05
1.97628907e+06 3.65077992e+05 1.77269537e+06 2.41712801e+05
2.06918539e+06 3.80395588e+05 2.28221581e+06 3.09080360e+04
2.29342117e+06 1.94743548e+06 2.47745669e+06 1.76543973e+05
4.40040927e+05 1.88274767e+06 5.06060691e+05 2.42354717e+06]
[ 3.35864157e+05 2.32964747e+06 -3.72220573e+06 5.78459378e+05
1.91452220e+06 4.91482004e+05 1.69872791e+06 3.82525836e+05
1.97621884e+06 5.19549692e+05 2.18347896e+06 1.72301845e+05
2.21038959e+06 1.87001870e+06 2.41065647e+06 3.32986047e+05
5.82040594e+05 1.88086493e+06 6.51229600e+05 2.32578550e+06]
[ 1.03612201e+06 2.54325152e+06 -2.50700435e+06 1.22304607e+06
2.23529762e+06 1.14318874e+06 2.06866136e+06 1.06402191e+06
2.27095060e+06 1.16743281e+06 2.42918004e+06 9.03198225e+05
2.45682087e+06 2.19547626e+06 2.62321330e+06 1.03401123e+06
1.21785593e+06 2.20944200e+06 1.27670771e+06 2.54251995e+06]
[ 6.89675822e+05 1.52919430e+06 -1.49487900e+06 7.99421609e+05
1.34948524e+06 7.48778158e+05 1.25343719e+06 7.04621374e+05
1.36889608e+06 7.64504131e+05 1.46018200e+06 6.09944471e+05
1.48115814e+06 1.32577345e+06 1.58201452e+06 6.88588902e+05
7.94911466e+05 1.34815805e+06 8.30951448e+05 1.52964668e+06]
[ 8.71051840e+04 2.28151786e+05 -4.74509678e+05 9.89831244e+04
2.00910141e+05 8.86789296e+04 1.87694553e+05 7.73088878e+04
2.05688975e+05 9.55497636e+04 2.17803094e+05 6.94569448e+04
2.28735161e+05 2.03767972e+05 2.40600754e+05 8.48661045e+04
9.55813056e+04 1.97023096e+05 1.05453332e+05 2.29944205e+05]
[-8.84509204e+04 -1.97395264e+05 2.25942620e+04 -1.06998547e+05
-1.73515051e+05 -1.01854304e+05 -1.58402756e+05 -9.95449391e+04
-1.74508423e+05 -1.00682420e+05 -1.88406962e+05 -8.12627247e+04
-1.84856102e+05 -1.65022616e+05 -2.00932479e+05 -8.97905477e+04
-1.08261748e+05 -1.74252168e+05 -1.09420006e+05 -1.96127511e+05]
[ 1.36739265e+04 -2.22416470e+03 2.86615062e+04 1.06508940e+04
2.21389384e+03 1.14273554e+04 5.15434551e+03 1.20355980e+04
1.98576800e+03 1.15238898e+04 -5.74505705e+02 1.52485572e+04
-5.02444496e+01 3.53982348e+03 -2.67777426e+03 1.37053332e+04
1.02205956e+04 8.25684234e+02 1.01522461e+04 -1.92416211e+03]
[ 9.92606700e-01 6.07342743e-01 4.83087872e-01 -2.26676160e-01
-1.87656793e-01 -4.10708547e-01 -4.01525668e-01 3.06134246e-01
-9.14765760e-01 2.02066808e-01 -8.99829742e-02 -2.31953204e-01
4.42081528e-01 -8.18314420e-01 -5.02121906e-01 -6.78820636e-01
3.45042971e-01 -6.04211240e-01 -5.16189848e-02 9.04958268e-01]
[ 5.81185175e-01 3.35796801e-01 7.13074790e-01 -4.22052326e-01
5.56036631e-01 -9.61863390e-01 7.47065055e-01 -5.04562495e-01
-7.53843896e-01 -7.47299060e-01 1.75611489e-01 7.83782444e-01
-8.15055496e-01 -3.30281844e-02 7.70634091e-01 9.14315527e-01
9.81546761e-01 -2.76163839e-01 1.70637024e-01 -2.30146348e-01]
[-4.22197840e+03 -5.20009898e+03 -5.27674221e+03 -4.24253472e+03
-5.24818985e+03 -4.20420543e+03 -5.29247280e+03 -4.22745072e+03
-5.24137758e+03 -4.22341908e+03 -5.22343198e+03 -4.24789048e+03
-5.23425909e+03 -5.27827022e+03 -5.19939892e+03 -4.24046356e+03
-4.16768862e+03 -4.92751111e+03 -4.21693091e+03 -5.18616906e+03]
[-5.43882338e+03 -5.31426673e+03 -1.07745725e+04 -5.22402714e+03
-5.76605437e+03 -5.21379231e+03 -6.03835259e+03 -5.31011591e+03
-5.71073921e+03 -5.26506722e+03 -5.49722265e+03 -5.57616713e+03
-5.53564430e+03 -5.89996578e+03 -5.24834047e+03 -5.45151530e+03
-5.06950492e+03 -5.26478565e+03 -5.13858124e+03 -5.31578737e+03]
[ 1.20327466e+04 7.50201443e+04 -2.41225355e+04 2.09715036e+04
6.16031428e+04 1.96284580e+04 5.51276156e+04 1.77681665e+04
6.36734159e+04 1.84926236e+04 7.05747465e+04 9.60361629e+03
6.82397770e+04 5.86730181e+04 7.58292557e+04 1.30984159e+04
2.18875837e+04 5.97522437e+04 2.27236028e+04 7.41949127e+04]
[ 4.01107907e+05 8.68351324e+05 -3.16531155e+05 4.62803672e+05
7.77830334e+05 4.49657009e+05 7.30202218e+05 4.34911777e+05
7.89136715e+05 4.45228842e+05 8.36366873e+05 3.79554890e+05
8.27262907e+05 7.57413277e+05 8.79784775e+05 4.08749889e+05
4.66754291e+05 7.57873751e+05 4.74305817e+05 8.63693219e+05]
[ 1.73698588e+06 3.36661454e+06 -1.42173993e+06 1.94979982e+06
3.05141736e+06 1.89666766e+06 2.87493841e+06 1.83725878e+06
3.08650045e+06 1.88856092e+06 3.25421217e+06 1.64669558e+06
3.23160486e+06 2.97867592e+06 3.41412082e+06 1.75792992e+06
1.96182162e+06 2.98597858e+06 1.99320363e+06 3.35557106e+06]
[ 2.20329571e+06 5.24499713e+06 -3.66937017e+06 2.61486396e+06
4.61203120e+06 2.52891404e+06 4.25246851e+06 2.39882131e+06
4.69119235e+06 2.51027045e+06 5.02891280e+06 2.02622674e+06
4.96902528e+06 4.47076681e+06 5.31811437e+06 2.24014216e+06
2.65087416e+06 4.54101781e+06 2.71024404e+06 5.22515393e+06]
[ 2.88097503e+06 7.59748638e+06 -5.87526561e+06 3.50638512e+06
6.61994326e+06 3.40123440e+06 6.06772988e+06 3.18335032e+06
6.75496847e+06 3.36424008e+06 7.27982572e+06 2.62439379e+06
7.16283255e+06 6.41261582e+06 7.67478956e+06 2.93858016e+06
3.56944858e+06 6.49111688e+06 3.66081261e+06 7.56396677e+06]
[ 1.32281058e+06 6.82974332e+06 -8.09930480e+06 2.07282439e+06
5.61908504e+06 1.99104845e+06 4.94750932e+06 1.69547696e+06
5.82286820e+06 1.93478341e+06 6.47282555e+06 1.03522350e+06
6.28001024e+06 5.39099570e+06 6.85451259e+06 1.38444649e+06
2.16987371e+06 5.53591073e+06 2.27652938e+06 6.77973951e+06]
[-2.24723860e+06 1.96925649e+06 -8.03831577e+06 -1.67005872e+06
9.65257391e+05 -1.65430416e+06 4.18072036e+05 -1.96331804e+06
1.20272776e+06 -1.71486068e+06 1.74180209e+06 -2.43713009e+06
1.50162304e+06 8.28650091e+05 1.87258222e+06 -2.21471324e+06
-1.55766458e+06 9.60589538e+05 -1.47287506e+06 1.92395910e+06]
[-4.88113184e+06 -3.92776970e+06 -4.59719150e+06 -4.77580930e+06
-4.25041570e+06 -4.61193429e+06 -4.39719889e+06 -4.84437940e+06
-4.04428202e+06 -4.66430562e+06 -3.87160593e+06 -4.83914288e+06
-4.09642561e+06 -4.19810680e+06 -4.15939487e+06 -4.88650099e+06
-4.68885779e+06 -4.21838569e+06 -4.64407035e+06 -3.93239500e+06]
[-4.51493707e+06 -8.54826277e+06 2.75353997e+06 -5.16012419e+06
-7.71698978e+06 -4.80943893e+06 -7.17995924e+06 -4.86160829e+06
-7.61604196e+06 -4.85665606e+06 -8.06141231e+06 -4.09248894e+06
-8.20484690e+06 -7.38824647e+06 -8.89850139e+06 -4.53832585e+06
-5.15014933e+06 -7.76033305e+06 -5.15573057e+06 -8.47795097e+06]
[-9.62963300e+06 -1.93759336e+07 6.96931817e+06 -1.08671085e+07
-1.76357853e+07 -1.04288020e+07 -1.65463178e+07 -1.02485128e+07
-1.76754973e+07 -1.04717958e+07 -1.86114248e+07 -8.95915381e+06
-1.86478181e+07 -1.71385403e+07 -1.97298430e+07 -9.68398879e+06
-1.09052298e+07 -1.71901355e+07 -1.09755743e+07 -1.92502295e+07]
[-2.85631460e+07 -4.33271817e+07 1.74651291e+06 -2.98613938e+07
-4.15510057e+07 -2.95573289e+07 -4.04248016e+07 -2.91512336e+07
-4.17143994e+07 -2.95660497e+07 -4.26893453e+07 -2.80415177e+07
-4.26044589e+07 -4.11442740e+07 -4.35081874e+07 -2.87066671e+07
-2.98476555e+07 -3.95986433e+07 -3.00194861e+07 -4.32129227e+07]
[-3.65661852e+07 -5.25297811e+07 -2.02986565e+06 -3.77895283e+07
-5.09154923e+07 -3.75593566e+07 -4.98587365e+07 -3.70887883e+07
-5.11043494e+07 -3.75532066e+07 -5.20119710e+07 -3.61583128e+07
-5.18751354e+07 -5.05636479e+07 -5.26330979e+07 -3.67422944e+07
-3.77434608e+07 -4.83726243e+07 -3.79524886e+07 -5.24412705e+07]
[-2.71798597e+07 -3.96516857e+07 -1.62737080e+06 -2.82353967e+07
-3.82711637e+07 -2.79850749e+07 -3.73204880e+07 -2.76260141e+07
-3.83917108e+07 -2.80047354e+07 -3.91850244e+07 -2.67681814e+07
-3.90822534e+07 -3.79137676e+07 -3.97858760e+07 -2.72920349e+07
-2.82079909e+07 -3.64968207e+07 -2.83641150e+07 -3.95856362e+07]
[-4.31090475e+06 -7.70527406e+06 7.86962401e+05 -4.77786387e+06
-7.10767572e+06 -4.53386190e+06 -6.57500545e+06 -4.46788022e+06
-7.03622877e+06 -4.61209509e+06 -7.41232251e+06 -3.94707691e+06
-7.45983196e+06 -6.83435875e+06 -7.90460885e+06 -4.26528653e+06
-4.78285195e+06 -7.04881820e+06 -4.79903514e+06 -7.68896288e+06]
[ 3.78988970e+06 7.07585588e+06 -1.85564225e+06 4.07537556e+06
6.59358565e+06 4.17233960e+06 6.49417772e+06 4.01992296e+06
6.80878871e+06 4.08263684e+06 7.01132625e+06 3.87064095e+06
6.85771496e+06 6.62947458e+06 6.93184847e+06 3.89836504e+06
4.11990870e+06 6.11895272e+06 4.17245405e+06 7.03396542e+06]
[ 1.68934341e+06 6.94284433e+06 -5.59483250e+06 2.33523053e+06
5.92313244e+06 2.29582894e+06 5.46121436e+06 2.07530356e+06
6.16598301e+06 2.24300128e+06 6.66107068e+06 1.53403859e+06
6.51303690e+06 5.80139665e+06 6.89189495e+06 1.76972301e+06
2.42574921e+06 5.64197474e+06 2.47814105e+06 6.87943044e+06]
[-1.97605033e+06 2.13785316e+06 -7.38180663e+06 -1.40278261e+06
1.19563257e+06 -1.48676385e+06 7.17018490e+05 -1.69263132e+06
1.38472860e+06 -1.49023103e+06 1.85156888e+06 -2.21652722e+06
1.76985096e+06 1.06194505e+06 2.14372946e+06 -1.95993470e+06
-1.30997772e+06 1.19760892e+06 -1.26901501e+06 2.09443891e+06]
[-3.57575860e+06 -5.72477721e+05 -7.14476198e+06 -3.13204363e+06
-1.32999131e+06 -3.23454543e+06 -1.74386418e+06 -3.41152873e+06
-1.19859752e+06 -3.20720187e+06 -8.15180268e+05 -3.83468428e+06
-8.43976203e+05 -1.43799769e+06 -5.27833488e+05 -3.59688232e+06
-3.06523901e+06 -1.21342424e+06 -3.01848707e+06 -5.98443957e+05]
[-2.13046665e+06 2.19802748e+05 -5.64936142e+06 -1.78032622e+06
-3.74982094e+05 -1.89099981e+06 -7.09740939e+05 -2.03019749e+06
-2.90475729e+05 -1.85689711e+06 1.49582678e+04 -2.36507385e+06
2.15963061e+04 -4.63180880e+05 2.97952933e+05 -2.15257010e+06
-1.74337673e+06 -2.64622867e+05 -1.68928199e+06 2.03373572e+05]
[-5.11380328e+05 1.19899555e+06 -3.81653119e+06 -2.65058943e+05
7.83766020e+05 -3.55178671e+05 5.47167176e+05 -4.51973432e+05
8.32499822e+05 -3.27512015e+05 1.04742063e+06 -6.86369063e+05
1.06538142e+06 7.19007368e+05 1.27566349e+06 -5.24602145e+05
-2.49703533e+05 8.43961289e+05 -1.99795965e+05 1.19008887e+06]
[-3.20487081e+05 5.66115976e+05 -2.19937346e+06 -1.87005864e+05
3.37525910e+05 -2.40800532e+05 2.09801489e+05 -2.91807924e+05
3.63035459e+05 -2.23376583e+05 4.79220135e+05 -4.20226671e+05
4.95893056e+05 3.02114369e+05 6.16106940e+05 -3.28323180e+05
-1.80379327e+05 3.87015567e+05 -1.49586658e+05 5.63389588e+05]
[-2.48093159e+05 -7.76720431e+04 -6.77299035e+05 -2.26545176e+05
-1.22977636e+05 -2.38880348e+05 -1.46745950e+05 -2.52240066e+05
-1.16555638e+05 -2.31026092e+05 -9.46952111e+04 -2.73098135e+05
-8.59444667e+04 -1.25122133e+05 -6.56692434e+04 -2.52330383e+05
-2.27203870e+05 -1.12124579e+05 -2.17417742e+05 -7.61346456e+04]
[-1.69942905e+05 -2.06517551e+05 -8.66532953e+04 -1.75793194e+05
-2.02259291e+05 -1.74064794e+05 -1.99443510e+05 -1.74346731e+05
-2.01723499e+05 -1.72766034e+05 -2.04843986e+05 -1.69884939e+05
-2.03058946e+05 -1.98950630e+05 -2.08405779e+05 -1.71645068e+05
-1.75415107e+05 -1.97717751e+05 -1.76177310e+05 -2.06531715e+05]
[-1.39990926e+04 -1.71825333e+04 -9.46849224e+03 -1.42731532e+04
-1.70962373e+04 -1.42183384e+04 -1.69600413e+04 -1.41040407e+04
-1.69765124e+04 -1.41277018e+04 -1.71642995e+04 -1.39851787e+04
-1.69996138e+04 -1.70060091e+04 -1.72490482e+04 -1.40446773e+04
-1.42329759e+04 -1.62694415e+04 -1.43008808e+04 -1.71445299e+04]
[ 4.22917398e-01 -1.34089038e-01 -4.01584901e-02 -8.26141802e-01
2.20074938e-01 -4.39359593e-01 8.37832317e-01 -5.23563766e-01
5.01308304e-01 4.10289979e-01 -7.54436080e-01 -5.82545165e-01
-6.05658467e-01 5.68660812e-01 1.02302474e-01 1.59704526e-02
4.85152291e-01 7.54975916e-01 -8.59908745e-01 -2.47355330e-01]
[-3.16451043e-01 6.88559911e-01 5.37703721e-01 6.49947586e-02
-8.20904123e-01 8.50216061e-01 1.15886687e-01 -9.52181234e-01
2.92126133e-01 -4.52581517e-01 -9.26470613e-02 7.91234069e-01
-5.91913884e-01 -7.72723306e-01 2.36337868e-01 3.50974829e-01
9.77702073e-01 -3.56862158e-01 8.14450708e-01 1.80942173e-01]
[-2.10164515e+02 -2.57020908e+02 -2.61544028e+02 -2.10445417e+02
-2.60182557e+02 -2.08395763e+02 -2.62114554e+02 -2.09329052e+02
-2.60512989e+02 -2.09434625e+02 -2.59687399e+02 -2.10711650e+02
-2.60384546e+02 -2.60869028e+02 -2.57103893e+02 -2.10868254e+02
-2.07230250e+02 -2.44237745e+02 -2.10031525e+02 -2.56213066e+02]
[ 4.60089122e+02 2.89188867e+03 2.21410561e+03 9.14632879e+02
2.23227795e+03 8.23714116e+02 1.84376999e+03 7.88354765e+02
2.41529818e+03 7.64889107e+02 2.76220111e+03 3.59204437e+02
2.54480987e+03 2.05823510e+03 2.81702866e+03 4.82717993e+02
9.98678083e+02 2.36287368e+03 9.18385718e+02 2.82935320e+03]
[-3.49423015e+04 8.82639019e+02 -6.90502152e+04 -2.94510203e+04
-7.92576199e+03 -2.97316520e+04 -1.26684779e+04 -3.14651737e+04
-6.75042205e+03 -3.04563888e+04 -2.12632960e+03 -3.68927560e+04
-3.72887329e+03 -1.04120202e+04 1.11304409e+03 -3.45923723e+04
-2.79693867e+04 -7.77393964e+03 -2.79577019e+04 8.49646990e+02]
[ 2.30853220e+05 6.49180878e+05 -4.57369953e+05 2.91432984e+05
5.58692656e+05 2.76092118e+05 5.09918402e+05 2.61610038e+05
5.69226869e+05 2.74531024e+05 6.16192869e+05 2.05454395e+05
6.10715387e+05 5.36675076e+05 6.62917660e+05 2.36561855e+05
2.96560041e+05 5.54307919e+05 3.03434892e+05 6.47334297e+05]
[ 8.85362708e+05 2.37961458e+06 -2.12766781e+06 1.10839933e+06
2.04108831e+06 1.04595073e+06 1.85196403e+06 9.86587400e+05
2.07837199e+06 1.04522653e+06 2.25554542e+06 7.78162251e+05
2.24146284e+06 1.95905396e+06 2.43651947e+06 9.00228296e+05
1.12813185e+06 2.04878526e+06 1.15785264e+06 2.37675581e+06]
[ 5.22871361e+04 2.54008248e+06 -5.08134525e+06 4.41236494e+05
1.91713445e+06 3.46776254e+05 1.56713082e+06 2.28908927e+05
1.99211619e+06 3.43599219e+05 2.31592711e+06 -1.44726499e+05
2.28384936e+06 1.77221224e+06 2.62632507e+06 7.19611323e+04
4.92745199e+05 1.99773842e+06 5.39191508e+05 2.53595570e+06]
[-1.41459215e+06 1.86907068e+06 -8.15163337e+06 -8.94598747e+05
9.98581402e+05 -9.96256466e+05 5.11311413e+05 -1.17490409e+06
1.11962042e+06 -1.00487344e+06 1.56989204e+06 -1.67839996e+06
1.50953828e+06 8.11450711e+05 1.95332176e+06 -1.39129355e+06
-8.09072388e+05 1.15479692e+06 -7.50021589e+05 1.86151672e+06]
[-4.75021429e+06 -1.48222193e+06 -1.07958170e+07 -4.20670201e+06
-2.46219948e+06 -4.26424477e+06 -2.99359177e+06 -4.49063602e+06
-2.28916124e+06 -4.28324866e+06 -1.78839273e+06 -5.01947984e+06
-1.89314652e+06 -2.63553353e+06 -1.46121301e+06 -4.73469811e+06
-4.08763701e+06 -2.18966967e+06 -4.02980291e+06 -1.50024250e+06]
[-8.38628946e+06 -6.93713236e+06 -1.05519845e+07 -8.10045217e+06
-7.59949386e+06 -8.03794448e+06 -7.93010132e+06 -8.24894446e+06
-7.40914861e+06 -8.06177175e+06 -7.08662633e+06 -8.51889629e+06
-7.21309906e+06 -7.65243686e+06 -7.04049045e+06 -8.39263386e+06
-7.97467994e+06 -7.24797910e+06 -7.94389633e+06 -6.94535974e+06]
[-9.52807841e+06 -1.18242791e+07 -6.02604852e+06 -9.81154461e+06
-1.16557186e+07 -9.56666990e+06 -1.14804260e+07 -9.67202492e+06
-1.15129296e+07 -9.59601492e+06 -1.16415497e+07 -9.35751021e+06
-1.17404918e+07 -1.14815774e+07 -1.20677232e+07 -9.54963212e+06
-9.72817212e+06 -1.13393226e+07 -9.73502007e+06 -1.17851714e+07]
[-8.70104562e+06 -1.65615288e+07 8.13707726e+05 -9.79569815e+06
-1.51642168e+07 -9.34457709e+06 -1.42575547e+07 -9.25180596e+06
-1.51464946e+07 -9.38207600e+06 -1.59337780e+07 -8.12434794e+06
-1.59480408e+07 -1.47056935e+07 -1.69142639e+07 -8.73590777e+06
-9.79252555e+06 -1.48696264e+07 -9.84677211e+06 -1.64422707e+07]
[-1.77654887e+07 -3.19311042e+07 2.37836816e+06 -1.94441547e+07
-2.96798230e+07 -1.89246820e+07 -2.82540865e+07 -1.85876329e+07
-2.98197131e+07 -1.89501818e+07 -3.10734666e+07 -1.69951448e+07
-3.09577402e+07 -2.90729089e+07 -3.22537634e+07 -1.78560680e+07
-1.94713390e+07 -2.86449567e+07 -1.96019023e+07 -3.17629113e+07]
[-3.52738012e+07 -5.40084146e+07 -3.34432450e+06 -3.70401382e+07
-5.17011641e+07 -3.66213012e+07 -5.02319719e+07 -3.61035772e+07
-5.19473275e+07 -3.66084135e+07 -5.32497076e+07 -3.46376898e+07
-5.30235161e+07 -5.11553976e+07 -5.41945141e+07 -3.54593340e+07
-3.70168837e+07 -4.93367102e+07 -3.72346816e+07 -5.38458497e+07]
[-3.91039904e+07 -5.72545740e+07 -6.81646313e+06 -4.06793924e+07
-5.52601525e+07 -4.03376896e+07 -5.39707753e+07 -3.98301900e+07
-5.54957353e+07 -4.03164072e+07 -5.66400188e+07 -3.86109570e+07
-5.64099458e+07 -5.47931276e+07 -5.73834178e+07 -3.93115758e+07
-4.06290636e+07 -5.26425323e+07 -4.08558623e+07 -5.71255285e+07]
[-2.30316158e+07 -3.39201163e+07 -5.30519947e+06 -2.40545254e+07
-3.26564367e+07 -2.37674106e+07 -3.17716370e+07 -2.34806897e+07
-3.27503744e+07 -2.37920472e+07 -3.34974396e+07 -2.26433742e+07
-3.33986970e+07 -3.23002988e+07 -3.40681784e+07 -2.31290179e+07
-2.40278387e+07 -3.12585152e+07 -2.41479640e+07 -3.38475969e+07]
[-7.70219397e+05 -1.42724573e+06 -1.60700511e+06 -9.61572951e+05
-1.25393029e+06 -7.55274658e+05 -9.76387178e+05 -7.89077388e+05
-1.12603916e+06 -8.40820038e+05 -1.27705579e+06 -5.20469619e+05
-1.37767929e+06 -1.07729972e+06 -1.61356689e+06 -7.02624452e+05
-9.48130007e+05 -1.46722160e+06 -9.25408003e+05 -1.42427656e+06]
[ 3.51855686e+06 8.44500318e+06 -3.64539055e+06 4.07730646e+06
7.56765461e+06 4.09917014e+06 7.21489250e+06 3.89032832e+06
7.82083297e+06 4.01563869e+06 8.24063995e+06 3.46449339e+06
8.04752392e+06 7.48544540e+06 8.33937023e+06 3.62573890e+06
4.15490292e+06 7.15288067e+06 4.21529230e+06 8.39173238e+06]
[-3.99011959e+05 5.21219852e+06 -6.56670686e+06 3.92191958e+05
3.99032031e+06 2.95248321e+05 3.37950639e+06 5.21825367e+04
4.25190520e+06 2.60035312e+05 4.86447637e+06 -6.48395467e+05
4.69660959e+06 3.79256372e+06 5.18397617e+06 -3.43024624e+05
5.14860042e+05 3.90799719e+06 5.51942485e+05 5.15083048e+06]
[-4.10401772e+06 6.28181813e+04 -7.51615989e+06 -3.45720629e+06
-9.73183520e+05 -3.57378040e+06 -1.53125275e+06 -3.79538734e+06
-7.71230970e+05 -3.56197970e+06 -2.43778867e+05 -4.39594123e+06
-3.41766360e+05 -1.14385686e+06 7.08751649e+04 -4.11203619e+06
-3.34269393e+06 -8.31440220e+05 -3.31599678e+06 2.22683556e+04]
[-5.18111327e+06 -1.96048817e+06 -7.62730261e+06 -4.65875501e+06
-2.82921598e+06 -4.78467359e+06 -3.32128565e+06 -4.97917655e+06
-2.67995755e+06 -4.74936737e+06 -2.23131590e+06 -5.48386868e+06
-2.27848812e+06 -2.96887414e+06 -1.91995649e+06 -5.21708406e+06
-4.57173618e+06 -2.61017690e+06 -4.53543962e+06 -1.99085069e+06]
[-3.59277141e+06 -1.21032012e+06 -6.36857586e+06 -3.20701606e+06
-1.86625666e+06 -3.32318005e+06 -2.24754772e+06 -3.47189525e+06
-1.76848083e+06 -3.28336062e+06 -1.42912340e+06 -3.85182397e+06
-1.43497558e+06 -1.97045180e+06 -1.14695721e+06 -3.62800296e+06
-3.15301487e+06 -1.67656964e+06 -3.11144163e+06 -1.23042963e+06]
[-2.02809870e+06 -4.92243015e+05 -4.47160873e+06 -1.77967980e+06
-9.23864735e+05 -1.86689451e+06 -1.17277923e+06 -1.96233816e+06
-8.68543060e+05 -1.83456112e+06 -6.46931611e+05 -2.21218592e+06
-6.33146029e+05 -9.92989694e+05 -4.29884178e+05 -2.05172785e+06
-1.75190262e+06 -7.89610219e+05 -1.71396315e+06 -5.01286177e+05]
[-1.45623054e+06 -8.48728984e+05 -2.59969902e+06 -1.34553282e+06
-1.05511796e+06 -1.39081027e+06 -1.17031607e+06 -1.43534742e+06
-1.02866153e+06 -1.36966695e+06 -9.26636008e+05 -1.55219080e+06
-9.09743379e+05 -1.08533122e+06 -8.11458974e+05 -1.47151174e+06
-1.33321917e+06 -9.55289921e+05 -1.31084981e+06 -8.48349926e+05]
[-7.39559114e+05 -7.25515109e+05 -8.46243203e+05 -7.33022017e+05
-7.54331599e+05 -7.40201099e+05 -7.68674352e+05 -7.49736699e+05
-7.48488541e+05 -7.30863747e+05 -7.36754133e+05 -7.60635952e+05
-7.26440687e+05 -7.52448520e+05 -7.18942628e+05 -7.46877999e+05
-7.31487239e+05 -7.20553014e+05 -7.25476447e+05 -7.22119256e+05]
[-3.20812736e+05 -4.14470574e+05 -1.44486599e+05 -3.32367619e+05
-4.03364741e+05 -3.29374588e+05 -3.95794824e+05 -3.27743437e+05
-4.03227409e+05 -3.27246935e+05 -4.10671858e+05 -3.19167326e+05
-4.07565062e+05 -3.98471233e+05 -4.17404168e+05 -3.23287698e+05
-3.31731729e+05 -3.91615945e+05 -3.33227707e+05 -4.13186080e+05]
[-4.22496350e+04 -6.09991384e+04 -4.76100603e+04 -4.42724041e+04
-5.85548174e+04 -4.39021571e+04 -5.68277623e+04 -4.29647885e+04
-5.85671754e+04 -4.34265999e+04 -6.03302819e+04 -4.15565361e+04
-5.94297931e+04 -5.80246306e+04 -6.13412689e+04 -4.23359128e+04
-4.41538233e+04 -5.63060404e+04 -4.46392074e+04 -6.04568570e+04]
[-6.76145055e+01 -5.74077915e+01 -1.69207232e+02 -6.56665130e+01
-6.28119737e+01 -6.28544802e+01 -6.69909489e+01 -6.54519748e+01
-6.29881976e+01 -6.40994467e+01 -5.91297841e+01 -6.93984078e+01
-6.07756850e+01 -6.52580897e+01 -5.66072185e+01 -6.87834494e+01
-6.22319397e+01 -5.95276646e+01 -6.39595845e+01 -5.69489719e+01]
[-5.77476878e-02 5.43104333e-01 -9.58727006e-01 -5.44839552e-01
9.67061386e-01 -8.80781909e-01 1.91012089e-01 9.96563423e-01
2.01574393e-01 -8.94732966e-01 -7.50652028e-01 7.90292857e-01
7.36834335e-01 9.75575996e-02 -4.74839546e-01 2.06954418e-02
-4.92452396e-01 3.80268869e-01 2.08248084e-01 5.75963012e-01]
[ 1.84222794e+03 3.68482213e+03 2.11955123e+03 2.12401838e+03
3.37565146e+03 2.03003737e+03 3.18134220e+03 2.00810138e+03
3.40454288e+03 2.02875359e+03 3.58674025e+03 1.76632606e+03
3.56313621e+03 3.28174996e+03 3.71396548e+03 1.85787310e+03
2.16558981e+03 3.30705536e+03 2.12696817e+03 3.66046151e+03]
[ 2.28923715e+04 4.52207213e+04 2.50503777e+04 2.62331405e+04
4.12368312e+04 2.51542273e+04 3.89816433e+04 2.49059428e+04
4.18087768e+04 2.51502810e+04 4.40011788e+04 2.19972975e+04
4.36172873e+04 4.01783037e+04 4.55137161e+04 2.31462614e+04
2.64863166e+04 4.05552700e+04 2.62750894e+04 4.48571852e+04]
[-2.24243946e+04 2.69835715e+04 -5.77632700e+04 -1.22635949e+04
1.31906293e+04 -1.45965005e+04 5.59015131e+03 -1.59817840e+04
1.52091914e+04 -1.45730649e+04 2.23593753e+04 -2.58170667e+04
2.11995235e+04 9.06061132e+03 2.76916455e+04 -2.20706077e+04
-1.00037475e+04 1.76652664e+04 -1.09810672e+04 2.68732029e+04]
[-1.39146310e+05 1.62357539e+05 -7.41911718e+05 -7.91567362e+04
7.09329074e+04 -9.79194004e+04 2.23567737e+04 -1.09520607e+05
8.21058578e+04 -9.44608950e+04 1.27920090e+05 -1.69254542e+05
1.27435212e+05 4.65041945e+04 1.77433484e+05 -1.37255001e+05
-7.12174249e+04 1.04079470e+05 -6.59011810e+04 1.65441278e+05]
[-5.67737549e+05 3.53714551e+05 -2.82344458e+06 -3.81261263e+05
5.69124518e+04 -4.43617946e+05 -1.01414874e+05 -4.87694586e+05
9.13879197e+04 -4.31076757e+05 2.39525497e+05 -6.74302413e+05
2.44117267e+05 -1.85580252e+04 4.11472382e+05 -5.65206916e+05
-3.56413379e+05 1.78000840e+05 -3.31608498e+05 3.66835083e+05]
[-2.40941818e+06 -1.19135202e+06 -5.85698350e+06 -2.13636838e+06
-1.66358005e+06 -2.21916632e+06 -1.91683020e+06 -2.29839269e+06
-1.60133875e+06 -2.19808405e+06 -1.37031379e+06 -2.58263552e+06
-1.36184903e+06 -1.77630539e+06 -1.11134285e+06 -2.41278174e+06
-2.08289639e+06 -1.40883101e+06 -2.05049227e+06 -1.16558843e+06]
[-5.25116592e+06 -4.23254483e+06 -8.99320998e+06 -4.97496005e+06
-4.77960834e+06 -5.04228620e+06 -5.06753294e+06 -5.15013177e+06
-4.69212650e+06 -5.01418190e+06 -4.43343857e+06 -5.45464042e+06
-4.41823672e+06 -4.88966650e+06 -4.16446539e+06 -5.26764369e+06
-4.89219149e+06 -4.38511468e+06 -4.86230748e+06 -4.19758214e+06]
[-9.40139452e+06 -9.61844898e+06 -1.11400769e+07 -9.28164074e+06
-1.00268030e+07 -9.26978134e+06 -1.02128672e+07 -9.38002816e+06
-9.91837421e+06 -9.24256488e+06 -9.75052917e+06 -9.54751044e+06
-9.73169753e+06 -1.00571086e+07 -9.62212690e+06 -9.43659078e+06
-9.17998997e+06 -9.48600325e+06 -9.16742761e+06 -9.58141188e+06]
[-1.20346078e+07 -1.51368943e+07 -9.59505713e+06 -1.23677904e+07
-1.49489937e+07 -1.21874001e+07 -1.47681277e+07 -1.22392421e+07
-1.48603963e+07 -1.21674374e+07 -1.50229651e+07 -1.19605190e+07
-1.49913920e+07 -1.47868849e+07 -1.52802935e+07 -1.20903799e+07
-1.22858810e+07 -1.43988487e+07 -1.23040875e+07 -1.50781071e+07]
[-1.18396460e+07 -1.95380314e+07 -4.27718888e+06 -1.29050446e+07
-1.82855170e+07 -1.24995759e+07 -1.74638052e+07 -1.24114882e+07
-1.82832627e+07 -1.24947552e+07 -1.90202352e+07 -1.13891862e+07
-1.89370972e+07 -1.78446053e+07 -1.98259371e+07 -1.19050451e+07
-1.28880945e+07 -1.78471066e+07 -1.29425385e+07 -1.94208125e+07]
[-1.39835173e+07 -2.71481978e+07 1.28429134e+05 -1.57490557e+07
-2.48518844e+07 -1.51839211e+07 -2.34062274e+07 -1.48963756e+07
-2.49810044e+07 -1.51851183e+07 -2.62800489e+07 -1.32113104e+07
-2.61050324e+07 -2.41855257e+07 -2.74963555e+07 -1.40719629e+07
-1.57912733e+07 -2.42099333e+07 -1.58984337e+07 -2.69667780e+07]
[-2.56266786e+07 -4.34834319e+07 -1.79212755e+06 -2.76568830e+07
-4.08223231e+07 -2.71154869e+07 -3.91484448e+07 -2.66405691e+07
-4.10688321e+07 -2.70958391e+07 -4.25760930e+07 -2.48379244e+07
-4.22948247e+07 -4.01340650e+07 -4.37468277e+07 -2.57797564e+07
-2.76832574e+07 -3.92464521e+07 -2.78665387e+07 -4.32828654e+07]
[-3.90658083e+07 -5.88016130e+07 -8.01776108e+06 -4.09304148e+07
-5.64394762e+07 -4.05252375e+07 -5.49435032e+07 -3.99680659e+07
-5.67338662e+07 -4.04744251e+07 -5.80928547e+07 -3.84968080e+07
-5.77583200e+07 -5.58836334e+07 -5.89326809e+07 -3.92932966e+07
-4.08940748e+07 -5.38595518e+07 -4.11366178e+07 -5.86283729e+07]
[-3.69036369e+07 -5.31589139e+07 -1.06240319e+07 -3.83036290e+07
-5.14525365e+07 -3.80163166e+07 -5.03256966e+07 -3.75543043e+07
-5.16796285e+07 -3.79793674e+07 -5.26879337e+07 -3.65300102e+07
-5.24223761e+07 -5.10501022e+07 -5.32252603e+07 -3.71055777e+07
-3.82469696e+07 -4.90300399e+07 -3.84508292e+07 -5.30386967e+07]
[-1.58438612e+07 -2.33971821e+07 -6.48939479e+06 -1.65718017e+07
-2.25474021e+07 -1.63391296e+07 -2.18875586e+07 -1.61421084e+07
-2.25918039e+07 -1.63731320e+07 -2.31253169e+07 -1.55519822e+07
-2.30609736e+07 -2.22839697e+07 -2.35041306e+07 -1.58940165e+07
-1.65543945e+07 -2.16180307e+07 -1.66114217e+07 -2.33348287e+07]
[ 2.83845288e+06 3.16119739e+06 -1.40469273e+06 2.73896452e+06
3.21913707e+06 2.92087577e+06 3.42497327e+06 2.86749339e+06
3.35444642e+06 2.83160428e+06 3.26661976e+06 3.06021385e+06
3.14585706e+06 3.34560340e+06 3.00120211e+06 2.92389511e+06
2.74166662e+06 2.85140963e+06 2.79746497e+06 3.17992894e+06]
[ 4.29261527e+06 8.16901302e+06 -2.44008621e+06 4.71872041e+06
7.50819178e+06 4.75317021e+06 7.25977150e+06 4.57962596e+06
7.73122985e+06 4.68376627e+06 8.04152885e+06 4.28515002e+06
7.86596574e+06 7.44887079e+06 8.06630026e+06 4.38621384e+06
4.77749128e+06 7.12197383e+06 4.83903525e+06 8.15308750e+06]
[-1.84231194e+06 2.19371061e+06 -5.29226059e+06 -1.23592683e+06
1.25007715e+06 -1.30899010e+06 7.83091635e+05 -1.51140046e+06
1.48143543e+06 -1.32138235e+06 1.95086466e+06 -2.03494780e+06
1.81359509e+06 1.10600574e+06 2.15063563e+06 -1.81371866e+06
-1.12894316e+06 1.27899962e+06 -1.10122307e+06 2.16751765e+06]
[-5.92967796e+06 -2.33241378e+06 -7.33017744e+06 -5.31234068e+06
-3.32037427e+06 -5.44104520e+06 -3.85116205e+06 -5.64877166e+06
-3.11988747e+06 -5.41023046e+06 -2.61754939e+06 -6.22716009e+06
-2.70174970e+06 -3.47870759e+06 -2.32655969e+06 -5.95642531e+06
-5.19972540e+06 -3.05703008e+06 -5.17744461e+06 -2.36298378e+06]
[-6.50438269e+06 -3.92829195e+06 -7.48759136e+06 -6.02972311e+06
-4.72705491e+06 -6.15047356e+06 -5.17540799e+06 -6.32622861e+06
-4.57679984e+06 -6.10312798e+06 -4.16895525e+06 -6.79104322e+06
-4.20689500e+06 -4.84816805e+06 -3.90408151e+06 -6.55339948e+06
-5.94087234e+06 -4.40390722e+06 -5.91493488e+06 -3.94929250e+06]
[-4.54169654e+06 -2.76728019e+06 -5.92762888e+06 -4.21509438e+06
-3.33128801e+06 -4.31679868e+06 -3.65485723e+06 -4.44236919e+06
-3.23542436e+06 -4.26996178e+06 -2.94764000e+06 -4.77046131e+06
-2.95004518e+06 -3.41527942e+06 -2.72810872e+06 -4.58417620e+06
-4.16167366e+06 -3.08350222e+06 -4.13209615e+06 -2.77717056e+06]
[-3.06482724e+06 -2.17386211e+06 -4.39488587e+06 -2.88476960e+06
-2.50930843e+06 -2.95239231e+06 -2.69668546e+06 -3.02343891e+06
-2.45770405e+06 -2.91442543e+06 -2.29320551e+06 -3.21675133e+06
-2.27214625e+06 -2.55654453e+06 -2.13412226e+06 -3.09537803e+06
-2.85655270e+06 -2.31617995e+06 -2.83170282e+06 -2.17399589e+06]
[-1.85212286e+06 -1.71474814e+06 -2.52015925e+06 -1.80293294e+06
-1.83256614e+06 -1.83038907e+06 -1.89385823e+06 -1.85579667e+06
-1.81258836e+06 -1.80573301e+06 -1.76135207e+06 -1.91909718e+06
-1.73638907e+06 -1.84283033e+06 -1.69487044e+06 -1.87110413e+06
-1.79238754e+06 -1.71515584e+06 -1.78001325e+06 -1.70730157e+06]
[-1.37002051e+06 -1.69837706e+06 -1.16931973e+06 -1.39672682e+06
-1.68456331e+06 -1.39442114e+06 -1.67250265e+06 -1.39324192e+06
-1.68155025e+06 -1.38202667e+06 -1.69588073e+06 -1.37881090e+06
-1.67891914e+06 -1.67368506e+06 -1.69978750e+06 -1.38119754e+06
-1.39254309e+06 -1.60843107e+06 -1.39364870e+06 -1.68962466e+06]
[-5.45248736e+05 -7.56073469e+05 -3.26102142e+05 -5.66177973e+05
-7.33362075e+05 -5.61459054e+05 -7.18053471e+05 -5.55977643e+05
-7.34235489e+05 -5.57385229e+05 -7.49360558e+05 -5.41220843e+05
-7.42452640e+05 -7.26667293e+05 -7.59992871e+05 -5.48957376e+05
-5.64589967e+05 -7.02847138e+05 -5.67811758e+05 -7.51936658e+05]
[-9.36200449e+04 -1.39599123e+05 -5.55831728e+04 -9.80910472e+04
-1.34120584e+05 -9.71132017e+04 -1.30406666e+05 -9.54770265e+04
-1.34499268e+05 -9.63578921e+04 -1.38098777e+05 -9.22862505e+04
-1.36562248e+05 -1.33073054e+05 -1.40247343e+05 -9.40641862e+04
-9.76985379e+04 -1.28219870e+05 -9.85130168e+04 -1.38374351e+05]
[-1.23574618e+02 -1.04117451e+02 -3.11673148e+02 -1.20218962e+02
-1.14816557e+02 -1.17657811e+02 -1.24270667e+02 -1.21179819e+02
-1.13261539e+02 -1.18169825e+02 -1.08274393e+02 -1.28001465e+02
-1.09788919e+02 -1.20121950e+02 -1.04308464e+02 -1.24943878e+02
-1.14252243e+02 -1.07892523e+02 -1.16745035e+02 -1.03721818e+02]
[ 9.76732380e-01 2.87071168e-01 1.24507552e-01 -8.27086724e-01
-9.52937112e-02 -8.60552636e-01 -2.56877450e-02 -9.68819347e-01
-7.16946738e-01 2.37858619e-01 3.52303544e-01 2.07449618e-01
-4.98050790e-01 -8.67628455e-01 3.54549848e-01 5.36679257e-01
-7.61449970e-01 4.79122986e-01 5.46376626e-01 -7.80054927e-01]
[-1.62751403e+04 -1.79960841e+04 -1.49288979e+03 -1.58966604e+04
-1.85740000e+04 -1.60983357e+04 -1.89338457e+04 -1.60513312e+04
-1.86406096e+04 -1.60604980e+04 -1.83248380e+04 -1.66030549e+04
-1.82522625e+04 -1.88109337e+04 -1.78130795e+04 -1.63736875e+04
-1.57532960e+04 -1.71944823e+04 -1.58497036e+04 -1.80146105e+04]
[ 3.19266717e+04 7.06457967e+04 3.26232814e+04 3.80407775e+04
6.33880830e+04 3.60387736e+04 5.91793003e+04 3.55174490e+04
6.41469758e+04 3.60732296e+04 6.81872940e+04 3.00701777e+04
6.78134652e+04 6.13246307e+04 7.14574038e+04 3.23248568e+04
3.87085978e+04 6.28765063e+04 3.82311938e+04 7.00716492e+04]
[-1.80737082e+05 -1.64002154e+05 -9.54590793e+04 -1.68839975e+05
-1.79585075e+05 -1.73171068e+05 -1.86808849e+05 -1.72086252e+05
-1.76612691e+05 -1.71323855e+05 -1.69684858e+05 -1.84848633e+05
-1.68416084e+05 -1.84729667e+05 -1.62889636e+05 -1.80851593e+05
-1.65094951e+05 -1.61119793e+05 -1.68150091e+05 -1.62931891e+05]
[-6.75361095e+05 -5.59043467e+05 -9.59390864e+05 -6.17089633e+05
-6.48483023e+05 -6.41348730e+05 -6.90917055e+05 -6.45136999e+05
-6.35816682e+05 -6.30865660e+05 -5.94894758e+05 -7.08583639e+05
-5.86524324e+05 -6.74728854e+05 -5.42156003e+05 -6.77828621e+05
-6.05313329e+05 -5.60329657e+05 -6.03604525e+05 -5.49236506e+05]
[-1.95559325e+06 -1.62770398e+06 -3.30915573e+06 -1.80598989e+06
-1.87511977e+06 -1.86735765e+06 -1.99715982e+06 -1.89276466e+06
-1.83963372e+06 -1.84028657e+06 -1.72509252e+06 -2.05393065e+06
-1.70525498e+06 -1.94198752e+06 -1.57648175e+06 -1.96509736e+06
-1.77670125e+06 -1.64261994e+06 -1.75900998e+06 -1.59776237e+06]
[-4.40287926e+06 -4.52869757e+06 -5.76805144e+06 -4.26351955e+06
-4.81040571e+06 -4.32529672e+06 -4.94203766e+06 -4.36340914e+06
-4.75723707e+06 -4.28105549e+06 -4.63722476e+06 -4.52944172e+06
-4.60385617e+06 -4.87890676e+06 -4.47321879e+06 -4.42941740e+06
-4.21829416e+06 -4.41571803e+06 -4.19201206e+06 -4.47151013e+06]
[-7.44521975e+06 -8.71257454e+06 -7.68265562e+06 -7.45898159e+06
-8.83949281e+06 -7.47122280e+06 -8.87077620e+06 -7.50701917e+06
-8.78419982e+06 -7.41296196e+06 -8.76063136e+06 -7.53830841e+06
-8.69472755e+06 -8.84245211e+06 -8.68760797e+06 -7.49410950e+06
-7.40585306e+06 -8.33365839e+06 -7.38572300e+06 -8.63374287e+06]
[-1.03600689e+07 -1.41234238e+07 -7.77878904e+06 -1.07715794e+07
-1.37503869e+07 -1.06530969e+07 -1.34782249e+07 -1.06442498e+07
-1.37190441e+07 -1.05888583e+07 -1.39789381e+07 -1.02956195e+07
-1.38633499e+07 -1.35810553e+07 -1.41913736e+07 -1.04365549e+07
-1.07321522e+07 -1.32069676e+07 -1.07400548e+07 -1.40259962e+07]
[-1.19149392e+07 -1.98481356e+07 -4.89245945e+06 -1.30115615e+07
-1.85417380e+07 -1.26753941e+07 -1.77095343e+07 -1.25596727e+07
-1.85799198e+07 -1.26167660e+07 -1.93517287e+07 -1.15367496e+07
-1.91706394e+07 -1.80949001e+07 -2.00633197e+07 -1.20177183e+07
-1.30194635e+07 -1.80617148e+07 -1.30687603e+07 -1.97157986e+07]
[-1.36844176e+07 -2.67489966e+07 -7.66709000e+05 -1.55306635e+07
-2.43701101e+07 -1.49886439e+07 -2.28934704e+07 -1.47074739e+07
-2.45197542e+07 -1.49394129e+07 -2.58728861e+07 -1.29592151e+07
-2.56091131e+07 -2.36507424e+07 -2.70748540e+07 -1.38102192e+07
-1.56004434e+07 -2.38441029e+07 -1.56967099e+07 -2.65647306e+07]
[-1.98555000e+07 -3.68712381e+07 -2.83643583e+05 -2.20465579e+07
-3.39887625e+07 -2.14624808e+07 -3.22029467e+07 -2.10228124e+07
-3.42383941e+07 -2.14098669e+07 -3.58697002e+07 -1.90125018e+07
-3.55258588e+07 -3.31903498e+07 -3.71746821e+07 -2.00138457e+07
-2.21253243e+07 -3.29588913e+07 -2.22801875e+07 -3.66610210e+07]
[-3.03615651e+07 -4.88880855e+07 -4.67303537e+06 -3.23719406e+07
-4.62855660e+07 -3.19183404e+07 -4.46547286e+07 -3.13912923e+07
-4.65808542e+07 -3.18459847e+07 -4.80727018e+07 -2.96982954e+07
-4.76859407e+07 -4.56238086e+07 -4.90603782e+07 -3.05663397e+07
-3.23973962e+07 -4.43894711e+07 -3.26035715e+07 -4.86971199e+07]
[-3.91616138e+07 -5.59413788e+07 -1.14733922e+07 -4.05852249e+07
-5.42187788e+07 -4.03468872e+07 -5.30929740e+07 -3.98441376e+07
-5.44840974e+07 -4.02660878e+07 -5.55127212e+07 -3.88492174e+07
-5.51556848e+07 -5.38235238e+07 -5.59507941e+07 -3.93920206e+07
-4.05301603e+07 -5.16241740e+07 -4.07494272e+07 -5.58137967e+07]
[-2.98000689e+07 -4.13597587e+07 -1.13536742e+07 -3.06973285e+07
-4.03362586e+07 -3.05471685e+07 -3.95948098e+07 -3.01935889e+07
-4.05010419e+07 -3.05144338e+07 -4.11456516e+07 -2.96238419e+07
-4.09195321e+07 -4.00910136e+07 -4.13374055e+07 -2.99512029e+07
-3.06501012e+07 -3.83888324e+07 -3.07830829e+07 -4.12849959e+07]
[-9.15262679e+06 -1.34219872e+07 -5.85694999e+06 -9.55174563e+06
-1.30013322e+07 -9.39865431e+06 -1.25818833e+07 -9.28454862e+06
-1.29954269e+07 -9.43836541e+06 -1.32971979e+07 -8.96315274e+06
-1.32726858e+07 -1.28369928e+07 -1.34815188e+07 -9.15719274e+06
-9.54895428e+06 -1.24727294e+07 -9.54405836e+06 -1.33782281e+07]
[ 3.06809788e+06 3.43982771e+06 -1.68729192e+06 3.00980115e+06
3.44944672e+06 3.15802520e+06 3.61480534e+06 3.10048108e+06
3.58097517e+06 3.08911192e+06 3.52207303e+06 3.25051478e+06
3.41184435e+06 3.54985233e+06 3.30599688e+06 3.14010180e+06
3.00820734e+06 3.14688266e+06 3.07809559e+06 3.47302393e+06]
[ 1.83753453e+06 3.64904540e+06 -2.22889230e+06 2.02125900e+06
3.32079526e+06 2.09138145e+06 3.24575233e+06 1.96363374e+06
3.50419341e+06 2.05545677e+06 3.63807674e+06 1.88751540e+06
3.51302026e+06 3.33666995e+06 3.52682359e+06 1.88808303e+06
2.06278051e+06 3.11300891e+06 2.11705403e+06 3.67226495e+06]
[-3.64951861e+06 -1.47704174e+06 -4.44368671e+06 -3.28959657e+06
-2.07467649e+06 -3.32299733e+06 -2.34864269e+06 -3.48006395e+06
-1.88114452e+06 -3.30471419e+06 -1.59620759e+06 -3.77059995e+06
-1.68038570e+06 -2.12792216e+06 -1.54556134e+06 -3.65491264e+06
-3.20961908e+06 -1.94585233e+06 -3.18408696e+06 -1.47126584e+06]
[-7.81995960e+06 -5.71837208e+06 -6.71463401e+06 -7.38395655e+06
-6.45343263e+06 -7.48176362e+06 -6.83051148e+06 -7.64484679e+06
-6.27379214e+06 -7.42861925e+06 -5.91247143e+06 -8.05533199e+06
-5.95497786e+06 -6.54153213e+06 -5.73779995e+06 -7.86631615e+06
-7.28831557e+06 -6.07821807e+06 -7.27391243e+06 -5.72633451e+06]
[-7.77804769e+06 -6.51069730e+06 -6.88508501e+06 -7.45678079e+06
-7.08878694e+06 -7.54519967e+06 -7.39454957e+06 -7.67410846e+06
-6.95245427e+06 -7.48403591e+06 -6.67111592e+06 -7.99670342e+06
-6.68069851e+06 -7.15254066e+06 -6.51433885e+06 -7.83688909e+06
-7.38045400e+06 -6.67396190e+06 -7.36572328e+06 -6.51102066e+06]
[-5.55483224e+06 -4.84023271e+06 -5.24919825e+06 -5.34745342e+06
-5.22608020e+06 -5.41898694e+06 -5.43439905e+06 -5.50168568e+06
-5.14159373e+06 -5.36323246e+06 -4.95637336e+06 -5.72146365e+06
-4.94182083e+06 -5.27248016e+06 -4.82876981e+06 -5.60251873e+06
-5.29941056e+06 -4.90513289e+06 -5.28450405e+06 -4.83020985e+06]
[-3.73119580e+06 -3.74139737e+06 -3.68569292e+06 -3.66370833e+06
-3.90446509e+06 -3.69974791e+06 -3.98486500e+06 -3.73262331e+06
-3.86480420e+06 -3.65695567e+06 -3.79742490e+06 -3.82070571e+06
-3.76346762e+06 -3.91645117e+06 -3.72901853e+06 -3.76341448e+06
-3.64069042e+06 -3.67751869e+06 -3.63129634e+06 -3.72390232e+06]
[-2.77508383e+06 -3.30960277e+06 -2.46819294e+06 -2.79701441e+06
-3.32441894e+06 -2.80359486e+06 -3.32060462e+06 -2.80252169e+06
-3.31136071e+06 -2.77577695e+06 -3.32013586e+06 -2.80518346e+06
-3.28675601e+06 -3.31522469e+06 -3.30732104e+06 -2.79696246e+06
-2.78540802e+06 -3.14935982e+06 -2.78606052e+06 -3.29043252e+06]
[-1.91449630e+06 -2.57989938e+06 -1.28097789e+06 -1.97197634e+06
-2.52352253e+06 -1.96261512e+06 -2.48198561e+06 -1.94733422e+06
-2.52340528e+06 -1.94750927e+06 -2.56461680e+06 -1.90889810e+06
-2.54046093e+06 -2.50540601e+06 -2.58609143e+06 -1.92723705e+06
-1.96649135e+06 -2.40714193e+06 -1.97310731e+06 -2.56397672e+06]
[-8.65476835e+05 -1.20229162e+06 -5.22145274e+05 -8.93707188e+05
-1.17158701e+06 -8.88111046e+05 -1.14926006e+06 -8.78064177e+05
-1.17279317e+06 -8.81986260e+05 -1.19441050e+06 -8.59979155e+05
-1.18358061e+06 -1.16409783e+06 -1.20628863e+06 -8.70406281e+05
-8.90510336e+05 -1.11541996e+06 -8.95457692e+05 -1.19485800e+06]
[-1.45021532e+05 -2.07906182e+05 -7.01563380e+04 -1.50466222e+05
-2.01479706e+05 -1.49393004e+05 -1.97009287e+05 -1.47198707e+05
-2.01947650e+05 -1.48324959e+05 -2.06331645e+05 -1.43683476e+05
-2.04223216e+05 -2.00320692e+05 -2.08611462e+05 -1.45773749e+05
-1.49761321e+05 -1.91968741e+05 -1.50917512e+05 -2.06302598e+05]
[-8.12916120e+03 -1.08916798e+04 -4.85424356e+03 -8.30893413e+03
-1.07095778e+04 -8.28104410e+03 -1.05780599e+04 -8.19214040e+03
-1.07144893e+04 -8.24219705e+03 -1.08564681e+04 -8.09878411e+03
-1.07782857e+04 -1.06787331e+04 -1.08977114e+04 -8.16381482e+03
-8.27489090e+03 -1.01426174e+04 -8.32627033e+03 -1.08410642e+04]
[-1.62983326e+02 1.12507720e+03 -2.28064521e+03 6.08940134e+01
7.93634903e+02 3.61210241e+01 6.25379709e+02 1.89948683e+00
8.74980276e+02 1.57020144e+01 1.03541363e+03 -1.88397929e+02
9.84008138e+02 7.42850636e+02 1.13686072e+03 -1.02737093e+02
6.72626556e+01 8.71275114e+02 9.71534404e+01 1.09468530e+03]
[-1.53603958e+03 -1.47748360e+03 5.57270428e+01 -1.46027588e+03
-1.57985257e+03 -1.49440367e+03 -1.64400152e+03 -1.49178031e+03
-1.58415178e+03 -1.48973279e+03 -1.52620470e+03 -1.58167237e+03
-1.52338280e+03 -1.61720613e+03 -1.45550595e+03 -1.54446308e+03
-1.44012232e+03 -1.44349617e+03 -1.45537333e+03 -1.48439546e+03]
[ 4.64281408e+04 1.06502681e+05 3.25423827e+04 5.58802624e+04
9.50012209e+04 5.29209975e+04 8.84646660e+04 5.19102266e+04
9.62341959e+04 5.29534379e+04 1.02576951e+05 4.34705696e+04
1.01966546e+05 9.18638605e+04 1.07788939e+05 4.70672457e+04
5.68809156e+04 9.43025208e+04 5.63788958e+04 1.05645236e+05]
[-3.19109230e+05 -2.94388355e+05 -8.11975453e+04 -2.98589135e+05
-3.19843104e+05 -3.07240386e+05 -3.30719031e+05 -3.03749102e+05
-3.14587406e+05 -3.03098086e+05 -3.03693566e+05 -3.25701229e+05
-3.00239540e+05 -3.28235982e+05 -2.92397894e+05 -3.19159444e+05
-2.92536830e+05 -2.87367256e+05 -2.98347788e+05 -2.92324526e+05]
[-1.11412106e+06 -1.10110588e+06 -8.99865452e+05 -1.05354142e+06
-1.18963874e+06 -1.08319875e+06 -1.22668680e+06 -1.07829361e+06
-1.17306429e+06 -1.06567365e+06 -1.13656277e+06 -1.14654675e+06
-1.12064910e+06 -1.21786682e+06 -1.08543215e+06 -1.11824853e+06
-1.03761897e+06 -1.06570298e+06 -1.04218301e+06 -1.08539877e+06]
[-2.58903698e+06 -2.70665575e+06 -2.92743624e+06 -2.48119991e+06
-2.88366166e+06 -2.53475956e+06 -2.95907065e+06 -2.54335940e+06
-2.84544217e+06 -2.49677548e+06 -2.77166068e+06 -2.66299500e+06
-2.74786783e+06 -2.93621249e+06 -2.67403167e+06 -2.60527029e+06
-2.45346193e+06 -2.60973597e+06 -2.44125268e+06 -2.66218569e+06]
[-5.01658981e+06 -5.99182955e+06 -4.51753393e+06 -4.97612083e+06
-6.10798397e+06 -5.01268827e+06 -6.13467345e+06 -5.02606591e+06
-6.05391044e+06 -4.95610399e+06 -6.02298301e+06 -5.08245870e+06
-5.99321941e+06 -6.13660084e+06 -5.97452241e+06 -5.05464286e+06
-4.94283119e+06 -5.68424238e+06 -4.91697045e+06 -5.91082350e+06]
[-6.98483201e+06 -9.82696092e+06 -4.62558710e+06 -7.24253217e+06
-9.55838405e+06 -7.19541556e+06 -9.35458783e+06 -7.18008094e+06
-9.52574291e+06 -7.12402410e+06 -9.71074110e+06 -6.94366144e+06
-9.63328451e+06 -9.46241793e+06 -9.85961446e+06 -7.04631196e+06
-7.22767144e+06 -9.11787699e+06 -7.20644727e+06 -9.71244854e+06]
[-8.63824628e+06 -1.49271355e+07 -3.21685441e+06 -9.47556030e+06
-1.38860924e+07 -9.26204528e+06 -1.32230566e+07 -9.16437874e+06
-1.39161581e+07 -9.18104950e+06 -1.45299294e+07 -8.36397940e+06
-1.43618878e+07 -1.35490027e+07 -1.50588086e+07 -8.73130267e+06
-9.50101152e+06 -1.34886591e+07 -9.51279488e+06 -1.47821339e+07]
[-1.19690512e+07 -2.33410229e+07 -1.24961240e+06 -1.35781766e+07
-2.12620506e+07 -1.31460083e+07 -1.99839462e+07 -1.29136839e+07
-2.13886913e+07 -1.30586541e+07 -2.25734551e+07 -1.13842699e+07
-2.23041537e+07 -2.06264583e+07 -2.36038310e+07 -1.21099252e+07
-1.36540237e+07 -2.07912031e+07 -1.37179363e+07 -2.31556220e+07]
[-1.77450304e+07 -3.35506244e+07 -3.56193786e+05 -1.98914497e+07
-3.07385036e+07 -1.93350015e+07 -2.90203030e+07 -1.89554692e+07
-3.09621805e+07 -1.92422612e+07 -3.25527415e+07 -1.69604044e+07
-3.21918723e+07 -2.99213225e+07 -3.38661657e+07 -1.79297377e+07
-1.99915758e+07 -2.99496483e+07 -2.01165504e+07 -3.33404428e+07]
[-2.55796485e+07 -4.28951864e+07 -3.35183165e+06 -2.76479661e+07
-4.02117744e+07 -2.71678416e+07 -3.85568897e+07 -2.67054792e+07
-4.04792190e+07 -2.70663974e+07 -4.20116576e+07 -2.48930717e+07
-4.16089841e+07 -3.94736615e+07 -4.31231527e+07 -2.57955104e+07
-2.77083832e+07 -3.87742648e+07 -2.78850321e+07 -4.27036824e+07]
[-3.34329707e+07 -4.93278040e+07 -8.86024263e+06 -3.49607861e+07
-4.74371913e+07 -3.46828251e+07 -4.62379445e+07 -3.42240799e+07
-4.76844398e+07 -3.45752530e+07 -4.87983366e+07 -3.30576796e+07
-4.84216913e+07 -4.69560725e+07 -4.93997844e+07 -3.36641376e+07
-3.49461129e+07 -4.53175648e+07 -3.51419908e+07 -4.91888463e+07]
[-3.52712055e+07 -4.73530551e+07 -1.36463158e+07 -3.61037020e+07
-4.64552395e+07 -3.60295933e+07 -4.58194419e+07 -3.56575183e+07
-4.66376691e+07 -3.59422788e+07 -4.72179856e+07 -3.52211293e+07
-4.69280126e+07 -4.62542174e+07 -4.72815362e+07 -3.54773902e+07
-3.60323490e+07 -4.41235624e+07 -3.61956280e+07 -4.72839725e+07]
[-2.36033801e+07 -3.05330009e+07 -1.19229928e+07 -2.39686433e+07
-3.02370920e+07 -2.39418144e+07 -2.99175856e+07 -2.37295711e+07
-3.03076792e+07 -2.39160748e+07 -3.05531359e+07 -2.36199960e+07
-3.04116013e+07 -3.01486149e+07 -3.04627641e+07 -2.37110422e+07
-2.39145954e+07 -2.86761046e+07 -2.39796835e+07 -3.05077011e+07]
[-6.66549991e+06 -8.93795902e+06 -5.99497463e+06 -6.82947488e+06
-8.83421706e+06 -6.74198270e+06 -8.60994195e+06 -6.69892345e+06
-8.78496823e+06 -6.77140393e+06 -8.90817937e+06 -6.57358944e+06
-8.91375735e+06 -8.73258638e+06 -8.97575784e+06 -6.66464717e+06
-6.82396898e+06 -8.45130970e+06 -6.78862931e+06 -8.91429724e+06]
[ 1.73947037e+05 -5.86854131e+04 -2.82136672e+06 8.85997488e+04
-3.16182489e+04 2.15559209e+05 1.17313292e+05 1.50882343e+05
9.60475199e+04 1.83819611e+05 3.22071002e+04 3.08975562e+05
-4.77956513e+04 7.97311539e+04 -1.91506388e+05 2.01910039e+05
9.53173544e+04 -1.44911611e+05 1.55155085e+05 -1.85570845e+04]
[-2.87559919e+06 -2.52862380e+06 -3.34397918e+06 -2.82903985e+06
-2.70399838e+06 -2.75470038e+06 -2.71037781e+06 -2.86438741e+06
-2.53565150e+06 -2.74708027e+06 -2.48649025e+06 -2.83693638e+06
-2.55861732e+06 -2.63724792e+06 -2.66305426e+06 -2.87817746e+06
-2.78563264e+06 -2.65427104e+06 -2.74727372e+06 -2.48890081e+06]
[-7.05434954e+06 -6.68629421e+06 -4.78819939e+06 -6.91092819e+06
-7.00594397e+06 -6.90471482e+06 -7.12312029e+06 -7.02467510e+06
-6.83594000e+06 -6.85527964e+06 -6.70505759e+06 -7.12382942e+06
-6.74167649e+06 -6.97839202e+06 -6.78752918e+06 -7.09755373e+06
-6.84337923e+06 -6.70892622e+06 -6.82729241e+06 -6.65382648e+06]
[-8.67299726e+06 -8.13968275e+06 -5.69037975e+06 -8.45402699e+06
-8.56863099e+06 -8.50173788e+06 -8.76283590e+06 -8.61482114e+06
-8.41455436e+06 -8.43480829e+06 -8.22192951e+06 -8.81929810e+06
-8.23103733e+06 -8.57902283e+06 -8.19447251e+06 -8.73172363e+06
-8.37962828e+06 -8.14319785e+06 -8.37270290e+06 -8.12055495e+06]
[-7.77301028e+06 -7.75144909e+06 -5.49900034e+06 -7.61563048e+06
-8.07974344e+06 -7.66353337e+06 -8.22852347e+06 -7.73863307e+06
-7.96734235e+06 -7.59754581e+06 -7.82465438e+06 -7.90524403e+06
-7.81185659e+06 -8.09179926e+06 -7.78191677e+06 -7.83176966e+06
-7.55466550e+06 -7.63647155e+06 -7.55121132e+06 -7.72760383e+06]
[-6.17934529e+06 -6.70603920e+06 -4.17595591e+06 -6.12587810e+06
-6.86270769e+06 -6.15664445e+06 -6.92207608e+06 -6.18554524e+06
-6.79658455e+06 -6.09788114e+06 -6.74214085e+06 -6.26313104e+06
-6.70942013e+06 -6.86189571e+06 -6.72241097e+06 -6.22760269e+06
-6.08741249e+06 -6.49054313e+06 -6.08829895e+06 -6.67326870e+06]
[-4.37279882e+06 -5.34717036e+06 -2.76453887e+06 -4.42093092e+06
-5.33494454e+06 -4.42354415e+06 -5.30294212e+06 -4.41461943e+06
-5.30866378e+06 -4.38029179e+06 -5.34000445e+06 -4.39589752e+06
-5.29702617e+06 -5.31368786e+06 -5.36044181e+06 -4.40560067e+06
-4.40165041e+06 -5.06442623e+06 -4.40803549e+06 -5.31140902e+06]
[-3.41812495e+06 -4.59615681e+06 -1.88125671e+06 -3.51741616e+06
-4.49624371e+06 -3.50140392e+06 -4.42054097e+06 -3.47391915e+06
-4.49261839e+06 -3.47258289e+06 -4.56538798e+06 -3.40670639e+06
-4.52671599e+06 -4.46572015e+06 -4.61202890e+06 -3.44185923e+06
-3.50776218e+06 -4.29001334e+06 -3.51843762e+06 -4.56423774e+06]
[-2.15367599e+06 -2.98090400e+06 -1.10265626e+06 -2.22512685e+06
-2.90277549e+06 -2.21273882e+06 -2.84573442e+06 -2.18793757e+06
-2.90486734e+06 -2.19699535e+06 -2.95938838e+06 -2.13938571e+06
-2.93296779e+06 -2.88305515e+06 -2.98956618e+06 -2.16622009e+06
-2.21917610e+06 -2.76872132e+06 -2.22890989e+06 -2.96101122e+06]
[-7.46426191e+05 -1.04900112e+06 -4.12181668e+05 -7.71315770e+05
-1.02115612e+06 -7.66732728e+05 -1.00105913e+06 -7.57014830e+05
-1.02248094e+06 -7.61358260e+05 -1.04199193e+06 -7.41085195e+05
-1.03227188e+06 -1.01508092e+06 -1.05186749e+06 -7.50319443e+05
-7.68730960e+05 -9.70741480e+05 -7.73052870e+05 -1.04200220e+06]
[-7.73846392e+04 -1.08124329e+05 -3.96961287e+04 -7.97494883e+04
-1.05431708e+05 -7.93686343e+04 -1.03620796e+05 -7.82956859e+04
-1.05653189e+05 -7.88881318e+04 -1.07525978e+05 -7.69305722e+04
-1.06567562e+05 -1.05021742e+05 -1.08331176e+05 -7.77754465e+04
-7.93951318e+04 -1.00076091e+05 -7.99659138e+04 -1.07438274e+05]
[-2.22317593e+04 -2.44821629e+04 -1.42554236e+04 -2.18182037e+04
-2.51303686e+04 -2.21422069e+04 -2.55851427e+04 -2.19309461e+04
-2.52264278e+04 -2.20891358e+04 -2.48955984e+04 -2.26623550e+04
-2.47863123e+04 -2.54529497e+04 -2.41997248e+04 -2.23311495e+04
-2.17057763e+04 -2.34513642e+04 -2.18665533e+04 -2.45614762e+04]
[-7.73969034e-01 -5.67185101e-01 3.41166757e-01 6.90673810e-01
-7.84958030e-01 -8.77825060e-01 -2.31441214e-01 1.36209912e-01
2.73223210e-01 -6.02403440e-01 6.83127711e-01 -7.39577680e-01
8.65828568e-01 7.42136954e-01 8.59595057e-01 -6.85932100e-01
5.11986191e-01 1.25268984e-01 -1.21733788e-01 -3.92253539e-01]
[ 5.06099936e-02 -2.67583302e-01 2.04774108e-01 -9.36850333e-02
4.44910026e-01 -5.00457352e-01 -8.31923094e-01 -5.83552727e-01
7.98054757e-01 2.53274596e-01 8.72626897e-02 8.55818554e-01
7.63886901e-01 4.75665322e-01 -4.77809600e-01 2.07154503e-01
-4.79571991e-03 9.42220547e-01 -8.56856066e-01 4.84093011e-01]
[ 3.83309715e+04 1.11018141e+05 1.72820752e+04 5.00775703e+04
9.65956131e+04 4.66103191e+04 8.83623653e+04 4.50319149e+04
9.82880833e+04 4.68166936e+04 1.06282163e+05 3.45237204e+04
1.05243846e+05 9.26915250e+04 1.12309868e+05 3.89463227e+04
5.13360735e+04 9.64429693e+04 5.09266576e+04 1.10099444e+05]
[-5.22304944e+05 -5.45171602e+05 -1.16480435e+05 -5.00659765e+05
-5.71533340e+05 -5.11262498e+05 -5.81290469e+05 -5.04724286e+05
-5.64943371e+05 -5.04883449e+05 -5.55004459e+05 -5.29489912e+05
-5.48945424e+05 -5.81050259e+05 -5.43241761e+05 -5.22990958e+05
-4.92833900e+05 -5.21746354e+05 -5.01158622e+05 -5.41331825e+05]
[-1.37164033e+06 -1.43335970e+06 -6.93451920e+05 -1.30911774e+06
-1.51759653e+06 -1.34238923e+06 -1.54878381e+06 -1.32994711e+06
-1.49712803e+06 -1.32048353e+06 -1.46529042e+06 -1.40031895e+06
-1.44555922e+06 -1.54617945e+06 -1.42109815e+06 -1.37604545e+06
-1.28981769e+06 -1.37069297e+06 -1.30217381e+06 -1.41493049e+06]
[-2.69417024e+06 -2.89786023e+06 -2.05003390e+06 -2.58853286e+06
-3.05021415e+06 -2.64186417e+06 -3.10882648e+06 -2.64101719e+06
-3.00363196e+06 -2.59963731e+06 -2.94268601e+06 -2.75045537e+06
-2.92617568e+06 -3.09933950e+06 -2.88284262e+06 -2.71087450e+06
-2.55872541e+06 -2.77508898e+06 -2.55712060e+06 -2.84916693e+06]
[-4.58086174e+06 -5.91958288e+06 -2.82538198e+06 -4.59237329e+06
-5.92255305e+06 -4.61010030e+06 -5.88171053e+06 -4.60966857e+06
-5.86279546e+06 -4.54978342e+06 -5.88748430e+06 -4.59348978e+06
-5.87607760e+06 -5.92802235e+06 -5.94000385e+06 -4.62072033e+06
-4.56697525e+06 -5.53805227e+06 -4.54581826e+06 -5.82455175e+06]
[-5.22428716e+06 -9.01486969e+06 -1.35261609e+06 -5.64022998e+06
-8.45722391e+06 -5.54671821e+06 -8.07855148e+06 -5.49779573e+06
-8.43217944e+06 -5.47286352e+06 -8.76455166e+06 -5.06396592e+06
-8.70235957e+06 -8.29558413e+06 -9.10142018e+06 -5.28575991e+06
-5.65495129e+06 -8.12460024e+06 -5.63071768e+06 -8.87159568e+06]
[-7.51491265e+06 -1.53388004e+07 3.71857633e+04 -8.56399314e+06
-1.39294804e+07 -8.30029500e+06 -1.30449227e+07 -8.14948875e+06
-1.39815449e+07 -8.21316987e+06 -1.47847684e+07 -7.10712210e+06
-1.46217152e+07 -1.35145731e+07 -1.55198287e+07 -7.61598394e+06
-8.62463927e+06 -1.35741516e+07 -8.63355665e+06 -1.51547583e+07]
[-1.35551802e+07 -2.63393374e+07 -2.03824725e+05 -1.52725224e+07
-2.40641569e+07 -1.48413080e+07 -2.26655789e+07 -1.45580924e+07
-2.42127912e+07 -1.47353325e+07 -2.54996890e+07 -1.29247398e+07
-2.52190996e+07 -2.34012468e+07 -2.66056501e+07 -1.37188754e+07
-1.53644002e+07 -2.34294726e+07 -1.54301175e+07 -2.61224369e+07]
[-2.33244864e+07 -3.90901947e+07 -3.36323412e+06 -2.52673715e+07
-3.65758457e+07 -2.48087884e+07 -3.50336710e+07 -2.44310710e+07
-3.67831698e+07 -2.46840892e+07 -3.82169156e+07 -2.26860559e+07
-3.78579704e+07 -3.58534043e+07 -3.93502946e+07 -2.35481198e+07
-2.53351693e+07 -3.53679794e+07 -2.54685694e+07 -3.88855885e+07]
[-3.11317168e+07 -4.62170513e+07 -8.43198571e+06 -3.27160098e+07
-4.42642055e+07 -3.23969279e+07 -4.30514344e+07 -3.20138841e+07
-4.44653257e+07 -3.22622791e+07 -4.56076388e+07 -3.07337825e+07
-4.52468039e+07 -4.37148687e+07 -4.63700644e+07 -3.13833206e+07
-3.27183755e+07 -4.24706228e+07 -3.28878874e+07 -4.60658859e+07]
[-3.44239617e+07 -4.59824872e+07 -1.34999285e+07 -3.53114214e+07
-4.50390672e+07 -3.52064691e+07 -4.44104757e+07 -3.48996155e+07
-4.51825224e+07 -3.50837395e+07 -4.57845763e+07 -3.43740998e+07
-4.54912975e+07 -4.47777610e+07 -4.59840648e+07 -3.46623528e+07
-3.52436509e+07 -4.29108314e+07 -3.54000707e+07 -4.59063827e+07]
[-3.16494619e+07 -3.89294788e+07 -1.60102508e+07 -3.18942915e+07
-3.88778436e+07 -3.19473703e+07 -3.87408149e+07 -3.17522576e+07
-3.89395181e+07 -3.18647500e+07 -3.90582957e+07 -3.18401499e+07
-3.88734441e+07 -3.88454442e+07 -3.88243175e+07 -3.18307726e+07
-3.17935356e+07 -3.68267917e+07 -3.18939069e+07 -3.89218949e+07]
[-1.94671252e+07 -2.25968243e+07 -1.24892764e+07 -1.94151797e+07
-2.28894205e+07 -1.94719919e+07 -2.29255959e+07 -1.94074546e+07
-2.28603282e+07 -1.94467054e+07 -2.27790487e+07 -1.96384381e+07
-2.27197621e+07 -2.29044774e+07 -2.25210221e+07 -1.95537068e+07
-1.93458718e+07 -2.16490666e+07 -1.93594911e+07 -2.26153157e+07]
[-8.35613418e+06 -9.12477816e+06 -7.62278583e+06 -8.29005753e+06
-9.37160758e+06 -8.27122514e+06 -9.37946789e+06 -8.31063453e+06
-9.26995772e+06 -8.27620627e+06 -9.19635069e+06 -8.39852116e+06
-9.22224690e+06 -9.32999663e+06 -9.15191756e+06 -8.37959013e+06
-8.25460181e+06 -8.92051645e+06 -8.21475424e+06 -9.12993175e+06]
[-5.10228455e+06 -5.42094762e+06 -4.78151367e+06 -5.10732368e+06
-5.55041298e+06 -5.03159242e+06 -5.52027894e+06 -5.12748523e+06
-5.40058108e+06 -5.02374145e+06 -5.37980031e+06 -5.07049069e+06
-5.43421579e+06 -5.45794639e+06 -5.53837823e+06 -5.12233463e+06
-5.07007393e+06 -5.37417233e+06 -5.03022077e+06 -5.39471824e+06]
[-6.70085852e+06 -7.25150561e+06 -3.85005565e+06 -6.73150843e+06
-7.34133074e+06 -6.65657676e+06 -7.31813540e+06 -6.76422202e+06
-7.17728607e+06 -6.62010516e+06 -7.17174895e+06 -6.67545064e+06
-7.21617745e+06 -7.24100352e+06 -7.39799438e+06 -6.74188084e+06
-6.68248858e+06 -7.11113072e+06 -6.65907788e+06 -7.20567081e+06]
[-8.69013470e+06 -9.79542473e+06 -4.19784831e+06 -8.73438157e+06
-9.85418020e+06 -8.68633834e+06 -9.82108992e+06 -8.76795133e+06
-9.71095503e+06 -8.62628767e+06 -9.72069028e+06 -8.69222789e+06
-9.73003840e+06 -9.76249256e+06 -9.92069401e+06 -8.75112996e+06
-8.68014221e+06 -9.47105718e+06 -8.67317609e+06 -9.74129544e+06]
[-8.27217956e+06 -9.28140359e+06 -4.03014113e+06 -8.26697588e+06
-9.38483821e+06 -8.25905828e+06 -9.38285283e+06 -8.31178925e+06
-9.26703419e+06 -8.19320209e+06 -9.24938259e+06 -8.30902618e+06
-9.23908889e+06 -9.33069013e+06 -9.36563949e+06 -8.33006724e+06
-8.21554274e+06 -8.95110391e+06 -8.21698668e+06 -9.23224981e+06]
[-7.00575738e+06 -8.07820324e+06 -3.60703258e+06 -7.00191431e+06
-8.15673423e+06 -7.01095305e+06 -8.15016998e+06 -7.02855311e+06
-8.07513046e+06 -6.94885732e+06 -8.06756452e+06 -7.04540209e+06
-8.03940909e+06 -8.12792565e+06 -8.12751935e+06 -7.05547790e+06
-6.95816583e+06 -7.73244003e+06 -6.96691791e+06 -8.03042904e+06]
[-5.58539952e+06 -7.00580617e+06 -2.76131779e+06 -5.66220588e+06
-6.95410481e+06 -5.65619117e+06 -6.88691325e+06 -5.63881311e+06
-6.91213137e+06 -5.60371123e+06 -6.97068297e+06 -5.59002203e+06
-6.92887312e+06 -6.91847207e+06 -7.04167587e+06 -5.62601659e+06
-5.63612334e+06 -6.60589017e+06 -5.64948431e+06 -6.95554873e+06]
[-3.99610428e+06 -5.48015526e+06 -1.64624920e+06 -4.12045795e+06
-5.34216811e+06 -4.09970796e+06 -5.23491127e+06 -4.06248606e+06
-5.33077230e+06 -4.06224571e+06 -5.42864750e+06 -3.96937147e+06
-5.38545571e+06 -5.30190721e+06 -5.50906608e+06 -4.02440018e+06
-4.10810730e+06 -5.09595283e+06 -4.12308318e+06 -5.43459102e+06]
[-2.99053920e+06 -4.29011434e+06 -1.29355520e+06 -3.11166921e+06
-4.14793202e+06 -3.08793103e+06 -4.04730761e+06 -3.05004043e+06
-4.15109943e+06 -3.06369430e+06 -4.24469839e+06 -2.95932086e+06
-4.20854902e+06 -4.11333318e+06 -4.31052270e+06 -3.01033262e+06
-3.10508205e+06 -3.96443107e+06 -3.11875491e+06 -4.25614728e+06]
[-1.63994911e+06 -2.33831072e+06 -7.89859800e+05 -1.70111423e+06
-2.26786621e+06 -1.69031467e+06 -2.21740701e+06 -1.66664259e+06
-2.27088992e+06 -1.67767058e+06 -2.31909297e+06 -1.62474251e+06
-2.29700758e+06 -2.25261664e+06 -2.34605949e+06 -1.64919615e+06
-1.69634467e+06 -2.16053904e+06 -1.70569177e+06 -2.32090224e+06]
[-4.94977052e+05 -7.07976334e+05 -2.45633937e+05 -5.12954114e+05
-6.87286155e+05 -5.09795522e+05 -6.72492734e+05 -5.02479768e+05
-6.88448197e+05 -5.06066946e+05 -7.02740145e+05 -4.90734373e+05
-6.95816339e+05 -6.83121346e+05 -7.09972365e+05 -4.97666091e+05
-5.11242435e+05 -6.53319963e+05 -5.14367828e+05 -7.02804997e+05]
[-4.82707438e+04 -6.93117142e+04 -2.34107381e+04 -5.00158575e+04
-6.73039213e+04 -4.96502511e+04 -6.60303279e+04 -4.90230705e+04
-6.74107613e+04 -4.93490356e+04 -6.87706130e+04 -4.78475685e+04
-6.81619318e+04 -6.69479043e+04 -6.95301701e+04 -4.85270169e+04
-4.97932198e+04 -6.38665041e+04 -5.01163451e+04 -6.88039042e+04]
[-1.19332370e+04 -1.26192177e+04 -7.67343749e+03 -1.16239527e+04
-1.30810225e+04 -1.18347269e+04 -1.34033743e+04 -1.17254503e+04
-1.31368748e+04 -1.18125587e+04 -1.28893696e+04 -1.22134525e+04
-1.28428964e+04 -1.32915333e+04 -1.24395303e+04 -1.19870191e+04
-1.15585724e+04 -1.21682508e+04 -1.16488040e+04 -1.26820479e+04]
[ 4.84761636e-01 -8.05497138e-01 -9.39607674e-02 -7.41345636e-01
2.12656013e-01 -1.99045885e-01 -2.28659484e-01 -7.33442745e-01
2.16781952e-02 -3.17417233e-01 -3.55815526e-01 -4.25681527e-01
6.96439919e-01 -8.91493415e-01 8.61868630e-01 8.53129260e-01
1.61833499e-01 6.55780980e-01 3.52497787e-01 -8.64107983e-01]
[ 2.06358939e+03 2.86914485e+03 1.93284934e+03 2.13849496e+03
2.80887076e+03 2.11024707e+03 2.76816080e+03 2.11117285e+03
2.81411100e+03 2.11405527e+03 2.85415783e+03 2.05638565e+03
2.85035705e+03 2.78189271e+03 2.86834919e+03 2.07074887e+03
2.14752217e+03 2.67325029e+03 2.13178473e+03 2.86930175e+03]
[ 1.82921302e+04 8.10024885e+04 3.62306033e+04 2.95389996e+04
6.76790151e+04 2.57786669e+04 6.03661888e+04 2.50856650e+04
6.95763441e+04 2.63471218e+04 7.66910853e+04 1.48993417e+04
7.62695730e+04 6.38968697e+04 8.21914967e+04 1.89327802e+04
3.10108713e+04 6.94648126e+04 2.98743941e+04 8.03732524e+04]
[-5.96667944e+05 -6.08139973e+05 -1.42092397e+05 -5.68430901e+05
-6.42775797e+05 -5.81612012e+05 -6.55865767e+05 -5.74958040e+05
-6.34774829e+05 -5.74653297e+05 -6.20826118e+05 -6.06315651e+05
-6.14718395e+05 -6.54275365e+05 -6.05108405e+05 -5.97338033e+05
-5.59632616e+05 -5.83951113e+05 -5.68510529e+05 -6.04572437e+05]
[-1.61109774e+06 -1.67939949e+06 -6.60753329e+05 -1.53909711e+06
-1.77339730e+06 -1.57576848e+06 -1.80811203e+06 -1.56113272e+06
-1.74981370e+06 -1.55383172e+06 -1.71341325e+06 -1.64090844e+06
-1.69492937e+06 -1.80410446e+06 -1.66776348e+06 -1.61485289e+06
-1.51783756e+06 -1.60730055e+06 -1.53417670e+06 -1.66336681e+06]
[-2.43658098e+06 -2.75596323e+06 -9.56418913e+05 -2.35707732e+06
-2.85275715e+06 -2.40394838e+06 -2.87760551e+06 -2.38981779e+06
-2.80899125e+06 -2.36287319e+06 -2.77616610e+06 -2.46729732e+06
-2.75902454e+06 -2.88885575e+06 -2.75260740e+06 -2.44879034e+06
-2.33126512e+06 -2.60922863e+06 -2.34004566e+06 -2.70944613e+06]
[-3.51440490e+06 -5.15905342e+06 -6.51011315e+05 -3.59244809e+06
-5.02739465e+06 -3.59355899e+06 -4.90398534e+06 -3.56894378e+06
-4.97476450e+06 -3.53493895e+06 -5.06755497e+06 -3.46824375e+06
-5.05604710e+06 -5.00246478e+06 -5.20118753e+06 -3.54623454e+06
-3.58035751e+06 -4.72136778e+06 -3.56983703e+06 -5.05997942e+06]
[-4.03700913e+06 -8.26767133e+06 1.29272237e+06 -4.51660622e+06
-7.56129985e+06 -4.40660982e+06 -7.08982489e+06 -4.33091598e+06
-7.54149701e+06 -4.33646551e+06 -7.94558285e+06 -3.80713586e+06
-7.90031835e+06 -7.37510800e+06 -8.38058984e+06 -4.09243100e+06
-4.54590544e+06 -7.28977885e+06 -4.52708810e+06 -8.11189449e+06]
[-7.27241583e+06 -1.52221275e+07 2.02786968e+06 -8.26846682e+06
-1.38175749e+07 -8.03007838e+06 -1.29320393e+07 -7.86323238e+06
-1.38614143e+07 -7.94275228e+06 -1.46501810e+07 -6.85164668e+06
-1.45282080e+07 -1.34367888e+07 -1.54056030e+07 -7.37237411e+06
-8.33204916e+06 -1.34058867e+07 -8.33688852e+06 -1.50189115e+07]
[-1.49741276e+07 -2.68282139e+07 -3.00925878e+05 -1.64014957e+07
-2.48986558e+07 -1.60735473e+07 -2.36961007e+07 -1.58062958e+07
-2.50115766e+07 -1.59625181e+07 -2.61023395e+07 -1.44504502e+07
-2.58835283e+07 -2.43663279e+07 -2.70434852e+07 -1.51384512e+07
-1.64708737e+07 -2.40498244e+07 -1.65233283e+07 -2.66053386e+07]
[-2.52744779e+07 -3.87142743e+07 -5.36406210e+06 -2.67041333e+07
-3.68914139e+07 -2.64102703e+07 -3.57463699e+07 -2.61018529e+07
-3.70298949e+07 -2.62773419e+07 -3.80834666e+07 -2.48625953e+07
-3.78075872e+07 -3.63769059e+07 -3.88863394e+07 -2.54994892e+07
-2.67286218e+07 -3.54158039e+07 -2.68314214e+07 -3.85267914e+07]
[-3.16543804e+07 -4.29800258e+07 -1.12561826e+07 -3.26045026e+07
-4.19103402e+07 -3.24615314e+07 -4.12082577e+07 -3.22088184e+07
-4.20087827e+07 -3.23243988e+07 -4.26673629e+07 -3.15332327e+07
-4.24138622e+07 -4.15872474e+07 -4.30520046e+07 -3.18992892e+07
-3.25577237e+07 -4.00246351e+07 -3.26786790e+07 -4.28685406e+07]
[-3.06316226e+07 -3.78484079e+07 -1.44828791e+07 -3.09728835e+07
-3.76577498e+07 -3.09879417e+07 -3.74646360e+07 -3.08443436e+07
-3.76862233e+07 -3.08772432e+07 -3.78700423e+07 -3.07816203e+07
-3.76962326e+07 -3.75525721e+07 -3.78184853e+07 -3.08433053e+07
-3.08823039e+07 -3.58002948e+07 -3.09725671e+07 -3.78195209e+07]
[-2.66807876e+07 -3.04057520e+07 -1.54589689e+07 -2.65497798e+07
-3.08692894e+07 -2.66635990e+07 -3.10306593e+07 -2.66229687e+07
-3.08207199e+07 -2.65926513e+07 -3.06488682e+07 -2.69812970e+07
-3.05697396e+07 -3.09112593e+07 -3.03161778e+07 -2.68371899e+07
-2.64417732e+07 -2.91769015e+07 -2.64801459e+07 -3.04366961e+07]
[-1.69439547e+07 -1.78628953e+07 -1.17799340e+07 -1.66656101e+07
-1.84630172e+07 -1.67618359e+07 -1.86932854e+07 -1.68107561e+07
-1.83527537e+07 -1.67315436e+07 -1.80923250e+07 -1.71847264e+07
-1.80945319e+07 -1.85060400e+07 -1.78119482e+07 -1.70268166e+07
-1.65870486e+07 -1.74344130e+07 -1.65719484e+07 -1.79104178e+07]
[-1.00800064e+07 -1.00599926e+07 -7.53987824e+06 -9.88321807e+06
-1.04905608e+07 -9.91054744e+06 -1.06342871e+07 -1.00095992e+07
-1.03470701e+07 -9.89277278e+06 -1.01627607e+07 -1.01985007e+07
-1.02032702e+07 -1.04711261e+07 -1.00890295e+07 -1.01264915e+07
-9.82893461e+06 -9.97106897e+06 -9.79311668e+06 -1.00833639e+07]
[-7.29355224e+06 -7.39978301e+06 -4.62322373e+06 -7.21561152e+06
-7.63872429e+06 -7.18207264e+06 -7.69283969e+06 -7.30237728e+06
-7.47473527e+06 -7.15654236e+06 -7.38507736e+06 -7.31988965e+06
-7.43972494e+06 -7.56849430e+06 -7.49984079e+06 -7.33170791e+06
-7.16795368e+06 -7.32992411e+06 -7.13251662e+06 -7.38506869e+06]
[-6.32975950e+06 -7.42340220e+06 -2.25945673e+06 -6.42503076e+06
-7.38741575e+06 -6.34368193e+06 -7.30207279e+06 -6.43592950e+06
-7.24305794e+06 -6.30698138e+06 -7.29386784e+06 -6.27086473e+06
-7.33568757e+06 -7.26792300e+06 -7.56742480e+06 -6.37480582e+06
-6.38872742e+06 -7.14803431e+06 -6.36555773e+06 -7.36900850e+06]
[-6.42569833e+06 -8.37483936e+06 -1.50161672e+06 -6.61317220e+06
-8.18357018e+06 -6.52772547e+06 -8.01379568e+06 -6.56652356e+06
-8.07606529e+06 -6.48049527e+06 -8.20921015e+06 -6.33761757e+06
-8.21963318e+06 -8.05577063e+06 -8.51425146e+06 -6.47642107e+06
-6.58302296e+06 -7.88874221e+06 -6.57994024e+06 -8.30180776e+06]
[-5.79603828e+06 -7.81220561e+06 -1.52522874e+06 -5.95060282e+06
-7.64344073e+06 -5.89873472e+06 -7.48213811e+06 -5.89604589e+06
-7.56646465e+06 -5.84758550e+06 -7.68902997e+06 -5.72940876e+06
-7.67292266e+06 -7.55087374e+06 -7.90914382e+06 -5.83707600e+06
-5.92412573e+06 -7.28748237e+06 -5.93070948e+06 -7.74044782e+06]
[-5.49290175e+06 -7.43488156e+06 -1.75449815e+06 -5.62635756e+06
-7.28502080e+06 -5.59861626e+06 -7.14225130e+06 -5.56547372e+06
-7.23903857e+06 -5.54892399e+06 -7.35231536e+06 -5.44648686e+06
-7.31318369e+06 -7.22362209e+06 -7.49184886e+06 -5.52756763e+06
-5.60175232e+06 -6.91971544e+06 -5.61870691e+06 -7.36945957e+06]
[-4.26621770e+06 -6.03898789e+06 -1.24748214e+06 -4.41372690e+06
-5.85872886e+06 -4.38591111e+06 -5.71888063e+06 -4.33799731e+06
-5.84049081e+06 -4.34623775e+06 -5.96423371e+06 -4.21634996e+06
-5.92093372e+06 -5.80972195e+06 -6.07980692e+06 -4.29320163e+06
-4.39790462e+06 -5.58399720e+06 -4.41927873e+06 -5.98190174e+06]
[-3.25858354e+06 -4.80716343e+06 -9.62177711e+05 -3.40399045e+06
-4.62617651e+06 -3.37320336e+06 -4.49723666e+06 -3.32690904e+06
-4.62587549e+06 -3.34568204e+06 -4.74297201e+06 -3.21048658e+06
-4.70526440e+06 -4.58355317e+06 -4.83816843e+06 -3.28016239e+06
-3.39524715e+06 -4.42245039e+06 -3.41317147e+06 -4.76324252e+06]
[-2.12747021e+06 -3.21746293e+06 -7.94340164e+05 -2.23619822e+06
-3.08215503e+06 -2.21228645e+06 -2.98868578e+06 -2.17855762e+06
-3.08803195e+06 -2.19499433e+06 -3.17373142e+06 -2.09220491e+06
-3.14501117e+06 -3.05122463e+06 -3.23565225e+06 -2.14095361e+06
-2.23243252e+06 -2.95050290e+06 -2.24390639e+06 -3.18893473e+06]
[-1.10461899e+06 -1.61763487e+06 -4.68858272e+05 -1.15133320e+06
-1.56192231e+06 -1.14246712e+06 -1.52280910e+06 -1.12461998e+06
-1.56514856e+06 -1.13413381e+06 -1.60207547e+06 -1.09175569e+06
-1.58677582e+06 -1.55052369e+06 -1.62375491e+06 -1.11086394e+06
-1.14822074e+06 -1.48878627e+06 -1.15516259e+06 -1.60492345e+06]
[-3.06975693e+05 -4.39772545e+05 -1.43676388e+05 -3.18063481e+05
-4.26914319e+05 -3.16221600e+05 -4.17604592e+05 -3.11524346e+05
-4.27808873e+05 -3.13940601e+05 -4.36661918e+05 -3.04461507e+05
-4.32355180e+05 -4.24485316e+05 -4.40904925e+05 -3.08772606e+05
-3.16900183e+05 -4.05777033e+05 -3.18985621e+05 -4.36571437e+05]
[-4.19997386e+04 -5.57829946e+04 -2.86662328e+04 -4.28230535e+04
-5.50653803e+04 -4.27280276e+04 -5.44944697e+04 -4.23352233e+04
-5.50340620e+04 -4.24595668e+04 -5.56932569e+04 -4.19558310e+04
-5.51973170e+04 -5.49385793e+04 -5.57742206e+04 -4.22016396e+04
-4.26010003e+04 -5.19990794e+04 -4.28192930e+04 -5.54388410e+04]
[-4.13048009e+03 -3.79481236e+03 -2.45783320e+03 -3.94448605e+03
-4.09673165e+03 -3.98016742e+03 -4.27049059e+03 -4.02902951e+03
-4.05962155e+03 -3.98093392e+03 -3.88789206e+03 -4.24042232e+03
-3.95708733e+03 -4.17110654e+03 -3.79860437e+03 -4.15896406e+03
-3.90721482e+03 -3.81083266e+03 -3.89589394e+03 -3.80383087e+03]
[-1.46827810e-01 6.78124281e-01 6.26880429e-01 -8.35135198e-01
-1.36822683e-02 8.37375260e-01 -7.82847309e-01 8.94554346e-01
-2.04831908e-01 -4.88831341e-01 1.85528885e-02 6.98428794e-01
-6.04135992e-01 9.60591856e-01 5.12350417e-01 4.52155035e-01
2.25327750e-01 6.91087079e-01 9.67858403e-03 6.79714071e-01]
[ 8.83817527e+03 7.92434603e+03 1.20117012e+04 8.42060369e+03
8.63667912e+03 8.46887787e+03 9.12181566e+03 8.63013983e+03
8.53900989e+03 8.54024398e+03 8.15699782e+03 9.05021983e+03
8.28337708e+03 8.75367769e+03 7.82074703e+03 8.80246486e+03
8.36069660e+03 7.92736401e+03 8.32263346e+03 8.04492670e+03]
[-5.65752408e+04 -3.32593406e+04 -2.34046274e+03 -4.90947760e+04
-4.23662453e+04 -5.20541835e+04 -4.66775795e+04 -5.16632206e+04
-4.09522328e+04 -5.12919545e+04 -3.65225435e+04 -5.91728122e+04
-3.61343599e+04 -4.49956119e+04 -3.22282554e+04 -5.63885723e+04
-4.76715657e+04 -3.54380042e+04 -4.89305823e+04 -3.33581835e+04]
[-5.23750750e+05 -5.24809683e+05 -1.66744843e+05 -4.97995602e+05
-5.57449659e+05 -5.09825857e+05 -5.70650228e+05 -5.04702508e+05
-5.51067194e+05 -5.04312844e+05 -5.37376075e+05 -5.33561115e+05
-5.32274108e+05 -5.67912350e+05 -5.20899767e+05 -5.24323882e+05
-4.90607518e+05 -5.05830499e+05 -4.97669395e+05 -5.22586842e+05]
[-1.31138312e+06 -1.31471831e+06 -4.03042142e+05 -1.24149428e+06
-1.40360639e+06 -1.27527400e+06 -1.43827763e+06 -1.26341601e+06
-1.38315565e+06 -1.25891764e+06 -1.34621294e+06 -1.33874103e+06
-1.33388185e+06 -1.43161802e+06 -1.30389046e+06 -1.31364296e+06
-1.22353935e+06 -1.26522266e+06 -1.23839500e+06 -1.30494605e+06]
[-2.21088934e+06 -2.56305711e+06 -3.54089914e+05 -2.14628200e+06
-2.63118193e+06 -2.18769339e+06 -2.63969711e+06 -2.16721781e+06
-2.59519876e+06 -2.15486556e+06 -2.57489430e+06 -2.22886399e+06
-2.55819723e+06 -2.65744800e+06 -2.55998963e+06 -2.21809585e+06
-2.12474182e+06 -2.41232600e+06 -2.13909839e+06 -2.52821846e+06]
[-2.42908644e+06 -4.07389529e+06 1.10392687e+06 -2.53261942e+06
-3.87830376e+06 -2.53082279e+06 -3.71945487e+06 -2.48726030e+06
-3.84087093e+06 -2.48264713e+06 -3.96295931e+06 -2.35502140e+06
-3.94429063e+06 -3.83900755e+06 -4.11394544e+06 -2.44847923e+06
-2.52876222e+06 -3.64130895e+06 -2.53366793e+06 -3.99078894e+06]
[-3.10876140e+06 -6.88375447e+06 2.86832145e+06 -3.50641964e+06
-6.24980101e+06 -3.43079914e+06 -5.81755392e+06 -3.34177732e+06
-6.22989817e+06 -3.37023300e+06 -6.58984914e+06 -2.89024449e+06
-6.55133461e+06 -6.09389620e+06 -6.97447412e+06 -3.14684624e+06
-3.53418231e+06 -5.98815258e+06 -3.52999120e+06 -6.74696608e+06]
[-6.01175481e+06 -1.25147974e+07 3.30674947e+06 -6.73455163e+06
-1.14257894e+07 -6.58922464e+06 -1.07236160e+07 -6.43632460e+06
-1.14477022e+07 -6.51441595e+06 -1.20545696e+07 -5.67645768e+06
-1.19752416e+07 -1.11563640e+07 -1.26404047e+07 -6.08763897e+06
-6.78472029e+06 -1.09791594e+07 -6.78837722e+06 -1.23342509e+07]
[-1.23873953e+07 -2.12560256e+07 1.15755033e+06 -1.32928820e+07
-1.99537403e+07 -1.31302504e+07 -1.91128293e+07 -1.29178370e+07
-2.00138561e+07 -1.30384565e+07 -2.07467298e+07 -1.20348246e+07
-2.06157426e+07 -1.96268692e+07 -2.13700797e+07 -1.25113037e+07
-1.33383352e+07 -1.90959978e+07 -1.33655949e+07 -2.10647589e+07]
[-1.95639882e+07 -2.92604856e+07 -2.45215506e+06 -2.04267783e+07
-2.80918908e+07 -2.03009584e+07 -2.73175998e+07 -2.00746602e+07
-2.81633258e+07 -2.01972526e+07 -2.88374956e+07 -1.93066237e+07
-2.86749412e+07 -2.77842356e+07 -2.93314196e+07 -1.97274481e+07
-2.04435993e+07 -2.68029887e+07 -2.04931671e+07 -2.90996003e+07]
[-2.12250273e+07 -2.86695864e+07 -5.82575542e+06 -2.17453904e+07
-2.80372055e+07 -2.17075831e+07 -2.75760227e+07 -2.15551144e+07
-2.80662760e+07 -2.16133046e+07 -2.84555915e+07 -2.11554542e+07
-2.83289842e+07 -2.78394614e+07 -2.86878104e+07 -2.13896651e+07
-2.17282887e+07 -2.66940131e+07 -2.17702492e+07 -2.85751483e+07]
[-1.93991911e+07 -2.37568758e+07 -7.59182462e+06 -1.95303305e+07
-2.37035767e+07 -1.95715051e+07 -2.35723334e+07 -1.95186564e+07
-2.36698614e+07 -1.95039590e+07 -2.37448898e+07 -1.94903802e+07
-2.36889980e+07 -2.36215517e+07 -2.37365537e+07 -1.95356313e+07
-1.94922544e+07 -2.25052987e+07 -1.95007250e+07 -2.37294986e+07]
[-1.58127572e+07 -1.78997590e+07 -7.48869953e+06 -1.56861337e+07
-1.82080806e+07 -1.57691896e+07 -1.82768287e+07 -1.57888842e+07
-1.81248830e+07 -1.57312497e+07 -1.80005537e+07 -1.59743703e+07
-1.80033320e+07 -1.81935091e+07 -1.78589611e+07 -1.59093353e+07
-1.56425145e+07 -1.72003248e+07 -1.56189283e+07 -1.79168365e+07]
[-1.01813470e+07 -1.07743690e+07 -5.17586016e+06 -9.99167231e+06
-1.11274899e+07 -1.00584065e+07 -1.12224451e+07 -1.01250520e+07
-1.10155772e+07 -1.00427004e+07 -1.08564591e+07 -1.02973130e+07
-1.08962598e+07 -1.11085026e+07 -1.07565652e+07 -1.02319500e+07
-9.96323459e+06 -1.04995195e+07 -9.91666860e+06 -1.08005133e+07]
[-6.04080392e+06 -6.03146087e+06 -2.53955467e+06 -5.88473481e+06
-6.29959794e+06 -5.91492030e+06 -6.35985531e+06 -6.00622577e+06
-6.17242752e+06 -5.90777974e+06 -6.04930031e+06 -6.08935688e+06
-6.11031426e+06 -6.26257296e+06 -6.05305086e+06 -6.06580041e+06
-5.86425936e+06 -5.96045851e+06 -5.81301700e+06 -6.03930344e+06]
[-2.63770216e+06 -2.98474560e+06 2.67168820e+05 -2.63525651e+06
-3.00591858e+06 -2.59370989e+06 -2.94370743e+06 -2.68293008e+06
-2.88047490e+06 -2.58926138e+06 -2.88259897e+06 -2.57424200e+06
-2.95285477e+06 -2.91755113e+06 -3.07219458e+06 -2.64966733e+06
-2.62519038e+06 -2.89903019e+06 -2.57867713e+06 -2.95450027e+06]
[-1.18313928e+06 -2.65955687e+06 2.35372125e+06 -1.39028962e+06
-2.36522587e+06 -1.28431977e+06 -2.13816254e+06 -1.32992890e+06
-2.27382091e+06 -1.27626354e+06 -2.43933084e+06 -1.02003678e+06
-2.49645075e+06 -2.22371503e+06 -2.79756578e+06 -1.19764681e+06
-1.39499253e+06 -2.35803253e+06 -1.36399083e+06 -2.59079160e+06]
[-1.75158058e+06 -3.87417509e+06 2.12447987e+06 -2.01290984e+06
-3.49977333e+06 -1.90845188e+06 -3.22598338e+06 -1.90549165e+06
-3.43923185e+06 -1.89293241e+06 -3.65307243e+06 -1.57976955e+06
-3.67664228e+06 -3.36296620e+06 -3.99849988e+06 -1.76719412e+06
-2.01618065e+06 -3.40437411e+06 -2.00590433e+06 -3.79634404e+06]
[-2.69860025e+06 -4.69507079e+06 8.60311687e+05 -2.90209181e+06
-4.40916809e+06 -2.83404958e+06 -4.18757151e+06 -2.80345326e+06
-4.36990470e+06 -2.81062111e+06 -4.54282999e+06 -2.57559316e+06
-4.53624902e+06 -4.31489547e+06 -4.77785108e+06 -2.71287731e+06
-2.89726857e+06 -4.22273717e+06 -2.90150261e+06 -4.62654938e+06]
[-3.21226702e+06 -4.90831956e+06 -3.01095343e+05 -3.36350188e+06
-4.70760005e+06 -3.32176595e+06 -4.54617927e+06 -3.28015241e+06
-4.68346002e+06 -3.29534430e+06 -4.81415623e+06 -3.13304499e+06
-4.79074502e+06 -4.64946648e+06 -4.95897517e+06 -3.22568200e+06
-3.35380658e+06 -4.48978940e+06 -3.36624704e+06 -4.85216831e+06]
[-3.05438512e+06 -4.69280241e+06 -5.15440517e+05 -3.21343858e+06
-4.48482479e+06 -3.17290567e+06 -4.33319692e+06 -3.12481382e+06
-4.47969721e+06 -3.15056181e+06 -4.61176916e+06 -2.98323361e+06
-4.57971858e+06 -4.43329187e+06 -4.73106569e+06 -3.06958926e+06
-3.20527930e+06 -4.29265651e+06 -3.22273190e+06 -4.64605875e+06]
[-2.09756955e+06 -3.39312696e+06 -4.83030418e+05 -2.23464596e+06
-3.21512204e+06 -2.20007935e+06 -3.09424976e+06 -2.16172080e+06
-3.22021219e+06 -2.18318346e+06 -3.32960671e+06 -2.04402837e+06
-3.30184655e+06 -3.17405274e+06 -3.42075982e+06 -2.11117965e+06
-2.23137935e+06 -3.08273086e+06 -2.24426638e+06 -3.35810846e+06]
[-1.34014532e+06 -2.13597676e+06 -4.29797114e+05 -1.42322344e+06
-2.03000040e+06 -1.40314133e+06 -1.95825168e+06 -1.37858881e+06
-2.03550458e+06 -1.39319451e+06 -2.10102359e+06 -1.31014096e+06
-2.08196010e+06 -2.00574145e+06 -2.14976055e+06 -1.34832627e+06
-1.42158672e+06 -1.94414831e+06 -1.42943922e+06 -2.11635497e+06]
[-8.15873369e+05 -1.18098012e+06 -3.19131853e+05 -8.48432221e+05
-1.14236048e+06 -8.41562117e+05 -1.11457502e+06 -8.29868407e+05
-1.14424858e+06 -8.36632733e+05 -1.16974691e+06 -8.06455250e+05
-1.16040345e+06 -1.13392295e+06 -1.18527982e+06 -8.20093045e+05
-8.46319362e+05 -1.08941494e+06 -8.50552639e+05 -1.17254329e+06]
[-2.18681925e+05 -3.02206753e+05 -1.13328237e+05 -2.24716698e+05
-2.95714907e+05 -2.23890854e+05 -2.90765478e+05 -2.21042726e+05
-2.96126405e+05 -2.22534552e+05 -3.00887139e+05 -2.17656665e+05
-2.98269691e+05 -2.94552575e+05 -3.02515651e+05 -2.19906176e+05
-2.23784806e+05 -2.80170415e+05 -2.25197665e+05 -3.00407091e+05]
[-2.64877836e+04 -3.06908545e+04 -2.83586588e+04 -2.58689972e+04
-3.17587771e+04 -2.63566631e+04 -3.22519357e+04 -2.62235823e+04
-3.17296985e+04 -2.62190152e+04 -3.12557978e+04 -2.71464018e+04
-3.10407663e+04 -3.21002081e+04 -3.02074176e+04 -2.66369388e+04
-2.57450188e+04 -2.90188494e+04 -2.57407263e+04 -3.06197311e+04]
[ 7.74013977e-01 5.92559917e-01 6.18303797e-02 6.15249893e-01
3.32195276e-01 4.51710653e-01 9.05100682e-01 3.97101473e-01
-9.31527043e-01 7.19011890e-01 3.61258817e-01 1.36823381e-01
4.22405376e-01 -4.23148768e-03 -4.43519237e-01 -9.45610249e-01
-9.83161968e-01 -3.14812434e-01 -4.16316485e-01 1.03157862e-01]
[-3.14551726e-01 6.02967900e-01 -3.09902558e-01 -9.97615735e-01
7.54103528e-03 -8.19601033e-01 3.11828299e-01 8.98123154e-01
6.98214935e-01 -8.66436465e-01 -5.50020238e-01 3.64491293e-01
-6.31352974e-01 -6.38957247e-01 4.11289356e-01 -7.90000805e-01
-9.28265804e-01 5.52657546e-01 -6.43696225e-03 -8.25658122e-01]
[ 7.54033185e-01 9.88830009e-01 1.38433805e-01 -8.78116682e-01
-4.87615966e-02 -9.26907585e-01 -1.33800042e-01 -4.47010723e-01
5.74972644e-01 -2.17294020e-01 -2.71833537e-01 -5.89163899e-01
-5.40681282e-01 1.73818004e-01 -1.12773568e-02 -6.65650658e-01
6.62959325e-01 -6.01123128e-01 5.54196138e-01 3.33311432e-02]
[-4.05665449e+04 -1.84981297e+04 -1.18584907e+04 -3.47309913e+04
-2.59610208e+04 -3.67672763e+04 -2.99043060e+04 -3.69131094e+04
-2.48231400e+04 -3.64426953e+04 -2.10165034e+04 -4.28019886e+04
-2.13046619e+04 -2.79530251e+04 -1.78458620e+04 -4.03621934e+04
-3.38324456e+04 -2.15810102e+04 -3.44754451e+04 -1.88592559e+04]
[-3.61145968e+05 -3.64581176e+05 -1.40720422e+05 -3.44163980e+05
-3.87271088e+05 -3.51704464e+05 -3.97031256e+05 -3.49083208e+05
-3.83065570e+05 -3.48812117e+05 -3.73278019e+05 -3.68535999e+05
-3.70867375e+05 -3.94068056e+05 -3.61661565e+05 -3.61526195e+05
-3.39646985e+05 -3.51848086e+05 -3.43485395e+05 -3.63801334e+05]
[-8.37031086e+05 -8.16528440e+05 -2.46613204e+05 -7.89697348e+05
-8.77460974e+05 -8.11471991e+05 -9.02732273e+05 -8.05292432e+05
-8.65428742e+05 -8.02714564e+05 -8.38823958e+05 -8.56542113e+05
-8.32480832e+05 -8.96006150e+05 -8.08196927e+05 -8.38342976e+05
-7.78615859e+05 -7.90633728e+05 -7.87311768e+05 -8.12556135e+05]
[-1.09272680e+06 -1.33845359e+06 2.36433707e+05 -1.06399002e+06
-1.35595366e+06 -1.08715548e+06 -1.34571876e+06 -1.07087083e+06
-1.33729453e+06 -1.06959285e+06 -1.33675797e+06 -1.09331196e+06
-1.32459019e+06 -1.36494171e+06 -1.33592873e+06 -1.09428251e+06
-1.05413257e+06 -1.24178559e+06 -1.06496525e+06 -1.31977872e+06]
[-9.86601773e+05 -2.24701919e+06 1.76790322e+06 -1.08697194e+06
-2.05167144e+06 -1.08464024e+06 -1.90463134e+06 -1.04109868e+06
-2.03648257e+06 -1.05540071e+06 -2.15137943e+06 -9.14064160e+05
-2.12650572e+06 -2.00874683e+06 -2.26801248e+06 -9.92135283e+05
-1.09282317e+06 -1.91960083e+06 -1.10271576e+06 -2.19547970e+06]
[-1.82966319e+06 -4.50805273e+06 3.01682696e+06 -2.08800293e+06
-4.05995923e+06 -2.05854486e+06 -3.74872162e+06 -1.97707408e+06
-4.05172893e+06 -2.01680712e+06 -4.30449799e+06 -1.67509282e+06
-4.26520310e+06 -3.95697755e+06 -4.55053844e+06 -1.84708257e+06
-2.11060467e+06 -3.84674717e+06 -2.11861211e+06 -4.41835715e+06]
[-3.90768824e+06 -8.26088219e+06 3.82651018e+06 -4.31528359e+06
-7.57606081e+06 -4.27348945e+06 -7.11467467e+06 -4.14283536e+06
-7.59295036e+06 -4.22365359e+06 -7.97171193e+06 -3.69565498e+06
-7.91294949e+06 -7.42594489e+06 -8.30084905e+06 -3.94787214e+06
-4.35192962e+06 -7.18153690e+06 -4.36148129e+06 -8.14196923e+06]
[-6.54081382e+06 -1.22479085e+07 4.26335402e+06 -7.04356838e+06
-1.14102057e+07 -7.00403913e+06 -1.08457929e+07 -6.83514055e+06
-1.14534400e+07 -6.94995250e+06 -1.19119829e+07 -6.30308914e+06
-1.18392794e+07 -1.12309495e+07 -1.22675897e+07 -6.60139079e+06
-7.09307735e+06 -1.08174676e+07 -7.09926888e+06 -1.21132687e+07]
[-7.67994904e+06 -1.42110906e+07 4.61667634e+06 -8.25895189e+06
-1.32579153e+07 -8.21148035e+06 -1.26033015e+07 -8.02338035e+06
-1.33215268e+07 -8.16517533e+06 -1.38434990e+07 -7.41508580e+06
-1.37593540e+07 -1.30382343e+07 -1.42119957e+07 -7.74850278e+06
-8.32521408e+06 -1.25870105e+07 -8.32122177e+06 -1.40788449e+07]
[-4.49483449e+06 -9.56958708e+06 5.50224192e+06 -4.96094846e+06
-8.76378148e+06 -4.92221783e+06 -8.18472668e+06 -4.78339363e+06
-8.80544896e+06 -4.90203218e+06 -9.24196027e+06 -4.24841674e+06
-9.20078501e+06 -8.55805181e+06 -9.56488695e+06 -4.53753498e+06
-5.04158818e+06 -8.34504581e+06 -5.00673224e+06 -9.46605030e+06]
[-7.60874372e+05 -4.34897130e+06 6.52603674e+06 -1.11215286e+06
-3.70162425e+06 -1.07391206e+06 -3.20460380e+06 -9.86818161e+05
-3.71279450e+06 -1.08145540e+06 -4.05797154e+06 -5.23043534e+05
-4.06369181e+06 -3.50815935e+06 -4.35087583e+06 -7.69988557e+05
-1.20286098e+06 -3.52611711e+06 -1.13956025e+06 -4.27686228e+06]
[ 4.95812860e+05 -1.71863046e+06 5.91793906e+06 3.16078456e+05
-1.32647360e+06 3.28380533e+05 -9.77488230e+05 3.67460704e+05
-1.30502091e+06 3.02508161e+05 -1.50979227e+06 6.77082100e+05
-1.55359066e+06 -1.18280142e+06 -1.70939993e+06 5.07872737e+05
2.37647528e+05 -1.21525630e+06 3.15316964e+05 -1.67841808e+06]
[ 9.81865457e+05 -3.48419473e+05 5.38631940e+06 9.04544189e+05
-1.11206844e+05 9.05932750e+05 1.37724059e+05 9.11902317e+05
-7.13521273e+04 8.74069327e+05 -1.90304891e+05 1.12616536e+06
-2.52284242e+05 -6.21252007e+03 -3.39609813e+05 1.00373258e+06
8.44037131e+05 -4.99803260e+04 9.19431482e+05 -3.20519660e+05]
[ 2.11961905e+06 1.40280129e+06 5.33527684e+06 2.07131640e+06
1.58445232e+06 2.09114718e+06 1.77866023e+06 2.06862481e+06
1.63975914e+06 2.05874505e+06 1.55346964e+06 2.25884715e+06
1.47390447e+06 1.66991362e+06 1.38201775e+06 2.14528893e+06
2.02696216e+06 1.53538052e+06 2.09482259e+06 1.43589075e+06]
[ 3.62513106e+06 2.67586141e+06 5.94836647e+06 3.45559354e+06
3.01756833e+06 3.53912498e+06 3.27656737e+06 3.51702053e+06
3.06841189e+06 3.50661782e+06 2.89871390e+06 3.82937344e+06
2.81663678e+06 3.13786862e+06 2.59350030e+06 3.65296518e+06
3.41368699e+06 2.81014709e+06 3.46555779e+06 2.72899704e+06]
[ 3.10212193e+06 1.47733494e+06 5.54125620e+06 2.81498815e+06
1.95646650e+06 2.94123543e+06 2.28357779e+06 2.94209087e+06
1.98913877e+06 2.91574429e+06 1.74191802e+06 3.34300723e+06
1.68170405e+06 2.10451300e+06 1.36220596e+06 3.12391881e+06
2.77727307e+06 1.75484987e+06 2.81144788e+06 1.54514173e+06]
[ 1.08232320e+06 -6.07594224e+05 3.38274910e+06 8.31258097e+05
-2.14340884e+05 9.36171203e+05 5.89304094e+04 9.53861451e+05
-1.89152122e+05 9.23136921e+05 -4.00718040e+05 1.27305550e+06
-4.33403052e+05 -9.61678733e+04 -7.03324942e+05 1.09460024e+06
8.11523067e+05 -2.75924318e+05 8.25582134e+05 -5.48152598e+05]
[-2.16087108e+05 -1.36512548e+06 1.55637444e+06 -3.63883149e+05
-1.14425680e+06 -3.01902965e+05 -9.77971673e+05 -2.81277768e+05
-1.12298747e+06 -3.05581284e+05 -1.24932520e+06 -1.02048354e+05
-1.26322378e+06 -1.07762048e+06 -1.42396440e+06 -2.06470785e+05
-3.70066521e+05 -1.12504385e+06 -3.66006032e+05 -1.32477355e+06]
[-1.15538673e+06 -2.11902635e+06 3.53074454e+05 -1.25599535e+06
-1.97963025e+06 -1.21756090e+06 -1.86839732e+06 -1.19219941e+06
-1.96519331e+06 -1.21444494e+06 -2.05230483e+06 -1.08456069e+06
-2.04970869e+06 -1.93985382e+06 -2.15502057e+06 -1.15124577e+06
-1.25374924e+06 -1.89795438e+06 -1.25827089e+06 -2.08882849e+06]
[-1.52388162e+06 -2.55752968e+06 -1.73030894e+05 -1.63210663e+06
-2.41501515e+06 -1.59771264e+06 -2.31027205e+06 -1.56798630e+06
-2.41289573e+06 -1.59107759e+06 -2.50151166e+06 -1.46643408e+06
-2.48683510e+06 -2.37830870e+06 -2.58398571e+06 -1.52692079e+06
-1.62895471e+06 -2.31398808e+06 -1.63732648e+06 -2.53066002e+06]
[-1.17621763e+06 -2.04873191e+06 -2.45630120e+05 -1.27435814e+06
-1.91960535e+06 -1.24590944e+06 -1.83323437e+06 -1.22128586e+06
-1.92437710e+06 -1.23880847e+06 -2.00181453e+06 -1.13309602e+06
-1.98608354e+06 -1.88853017e+06 -2.06840712e+06 -1.18206129e+06
-1.27364684e+06 -1.84430168e+06 -1.28104593e+06 -2.02740734e+06]
[-7.28026420e+05 -1.16478916e+06 -2.90700066e+05 -7.73132037e+05
-1.10836426e+06 -7.60952036e+05 -1.07028498e+06 -7.48157695e+05
-1.11067053e+06 -7.56430636e+05 -1.14592410e+06 -7.10913283e+05
-1.13618206e+06 -1.09533846e+06 -1.17264787e+06 -7.31688665e+05
-7.71630118e+05 -1.05917421e+06 -7.76052169e+05 -1.15438885e+06]
[-3.56983640e+05 -5.52767706e+05 -1.64342120e+05 -3.76141691e+05
-5.28980814e+05 -3.71640118e+05 -5.12894262e+05 -3.65497037e+05
-5.30394952e+05 -3.69239590e+05 -5.45558115e+05 -3.50615687e+05
-5.40270901e+05 -5.23698371e+05 -5.55386778e+05 -3.58865572e+05
-3.75235498e+05 -5.04541288e+05 -3.77723125e+05 -5.48300629e+05]
[-1.23864900e+05 -1.72123540e+05 -6.93601404e+04 -1.27549178e+05
-1.68088150e+05 -1.26960729e+05 -1.65094866e+05 -1.25298012e+05
-1.68266152e+05 -1.26198606e+05 -1.71208644e+05 -1.23054688e+05
-1.69678253e+05 -1.67289608e+05 -1.72344288e+05 -1.24471595e+05
-1.27033576e+05 -1.59456349e+05 -1.27898178e+05 -1.71101553e+05]
[-8.70423877e+03 -1.04015042e+04 -8.58297920e+03 -8.59401078e+03
-1.06736500e+04 -8.68445254e+03 -1.07603739e+04 -8.65843492e+03
-1.06129541e+04 -8.62627619e+03 -1.05412293e+04 -8.83893744e+03
-1.04405433e+04 -1.07354688e+04 -1.02936542e+04 -8.74193805e+03
-8.53289686e+03 -9.81248029e+03 -8.53206328e+03 -1.03413374e+04]
[-2.60837131e-01 -5.79095237e-01 -9.93497450e-01 -9.10601194e-01
-5.98398479e-01 -9.38637083e-01 -5.79928077e-02 8.99002524e-01
2.88808739e-01 -9.42106882e-01 5.52094275e-01 5.46927381e-03
5.93953872e-01 1.24612425e-02 2.48758652e-01 -4.75608514e-01
-1.05251708e-01 -9.74708293e-01 -2.36691957e-01 2.58281632e-01]
[ 8.67396518e-01 -6.58283966e-01 -4.74981296e-01 3.49638923e-01
-5.64788930e-02 3.53754217e-01 5.85995359e-01 2.63704955e-01
4.27133681e-01 8.94163581e-01 1.71883733e-01 -1.19375941e-01
-5.81176148e-01 7.96857923e-01 4.27862006e-01 1.60020814e-01
7.86553546e-01 -1.59549188e-01 8.31408549e-01 2.31539128e-03]
[-9.71362688e-01 8.90969444e-01 3.45639940e-01 -2.59171866e-01
-8.33383110e-01 -7.55164056e-01 6.95736810e-01 4.55310386e-01
2.33556808e-02 6.46351591e-01 3.34464015e-01 7.75802066e-01
2.47963414e-01 -3.24011543e-01 -6.28102824e-01 9.22612378e-01
-3.30575843e-01 -6.60345017e-02 6.57111850e-01 8.50108007e-01]
[-1.08431201e+03 5.71209877e+03 1.53360283e+03 2.03352774e+02
4.06391738e+03 -2.05829295e+02 3.13323310e+03 -3.43865687e+02
4.27865908e+03 -1.68622685e+02 5.16951391e+03 -1.62369000e+03
5.04118871e+03 3.62548256e+03 5.86156591e+03 -1.03715047e+03
3.26312714e+02 4.45398758e+03 2.76721771e+02 5.59798287e+03]
[-6.61087174e+04 -2.72068899e+04 -1.27760828e+04 -5.56018973e+04
-4.08035681e+04 -5.92243078e+04 -4.78444924e+04 -5.96752355e+04
-3.86453597e+04 -5.87619236e+04 -3.17158820e+04 -7.00837673e+04
-3.23015757e+04 -4.43965964e+04 -2.58532404e+04 -6.58538533e+04
-5.40132062e+04 -3.22828696e+04 -5.50345762e+04 -2.79005373e+04]
[-2.74647219e+05 -1.66095967e+05 -6.65132818e+04 -2.41203261e+05
-2.09023581e+05 -2.53354666e+05 -2.30327073e+05 -2.53999438e+05
-2.01800170e+05 -2.50994995e+05 -1.80570515e+05 -2.87249251e+05
-1.81545984e+05 -2.20801691e+05 -1.61410953e+05 -2.74228597e+05
-2.35903340e+05 -1.77821656e+05 -2.39215242e+05 -1.67043250e+05]
[-2.27411279e+05 -3.23732236e+05 4.29433441e+05 -2.20653762e+05
-3.18999091e+05 -2.28758598e+05 -3.08245658e+05 -2.21194476e+05
-3.12554295e+05 -2.23165350e+05 -3.17532307e+05 -2.23260094e+05
-3.14433972e+05 -3.19727949e+05 -3.23886178e+05 -2.27065034e+05
-2.19023792e+05 -2.88514156e+05 -2.23720544e+05 -3.17376498e+05]
[-3.31698351e+05 -9.54421552e+05 1.39748191e+06 -3.88099452e+05
-8.40489683e+05 -3.85184732e+05 -7.58850700e+05 -3.61143823e+05
-8.38254381e+05 -3.75275290e+05 -9.01274742e+05 -2.90414500e+05
-8.92134505e+05 -8.15776989e+05 -9.64844949e+05 -3.33537765e+05
-3.94198552e+05 -7.97161529e+05 -4.00645087e+05 -9.33591337e+05]
[-1.45739788e+05 -1.43855160e+06 2.63645491e+06 -2.80990413e+05
-1.18305034e+06 -2.69893532e+05 -1.00777219e+06 -2.22391870e+05
-1.19096397e+06 -2.57350720e+05 -1.32799487e+06 -5.77441173e+04
-1.30923532e+06 -1.12572627e+06 -1.45049757e+06 -1.48188313e+05
-3.02432234e+05 -1.12565578e+06 -3.05617031e+05 -1.40223968e+06]
[-3.72207591e+05 -2.39695961e+06 3.78354151e+06 -5.59393693e+05
-2.03043843e+06 -5.60710326e+05 -1.77718659e+06 -4.82104328e+05
-2.05457039e+06 -5.48329314e+05 -2.24775725e+06 -2.56601026e+05
-2.21999729e+06 -1.95432940e+06 -2.38855207e+06 -3.79603603e+05
-5.97327247e+05 -1.89688072e+06 -5.94947656e+05 -2.35050605e+06]
[-1.34264974e+06 -4.20091005e+06 4.98161717e+06 -1.58066737e+06
-3.72427649e+06 -1.59271167e+06 -3.38665929e+06 -1.48363197e+06
-3.76725916e+06 -1.58425146e+06 -4.01548981e+06 -1.20091999e+06
-3.98221957e+06 -3.62774386e+06 -4.16723882e+06 -1.35544986e+06
-1.63590425e+06 -3.48611848e+06 -1.62375261e+06 -4.14496009e+06]
[ 6.56435685e+05 -2.35914384e+06 7.02031898e+06 3.67759426e+05
-1.76681784e+06 3.66795010e+05 -1.33562977e+06 4.80476287e+05
-1.82174397e+06 3.57812238e+05 -2.12696459e+06 8.49919554e+05
-2.10220632e+06 -1.63347205e+06 -2.31322720e+06 6.57779229e+05
2.80967099e+05 -1.65044905e+06 3.22227675e+05 -2.29894477e+06]
[ 5.20118102e+06 2.24066015e+06 9.81077845e+06 4.81930660e+06
3.00225049e+06 4.86767882e+06 3.55398892e+06 4.97080321e+06
2.94666200e+06 4.83189769e+06 2.55630748e+06 5.49490952e+06
2.55943246e+06 3.19661726e+06 2.26522737e+06 5.23292953e+06
4.69652941e+06 2.85010735e+06 4.77145324e+06 2.30735305e+06]
[ 8.93278481e+06 6.02544048e+06 1.19439312e+07 8.47452031e+06
6.91296920e+06 8.57455821e+06 7.55138403e+06 8.66373560e+06
6.86703975e+06 8.51699241e+06 6.41240972e+06 9.31216809e+06
6.38941832e+06 7.15777868e+06 6.01374966e+06 8.99042987e+06
8.32968320e+06 6.55345013e+06 8.42486074e+06 6.09531293e+06]
[ 8.82015094e+06 6.25074357e+06 1.15924140e+07 8.39771361e+06
7.07596199e+06 8.50396138e+06 7.67214871e+06 8.57921077e+06
7.04108742e+06 8.43864582e+06 6.62115882e+06 9.19337882e+06
6.58074431e+06 7.30867244e+06 6.22795562e+06 8.88522548e+06
8.26147512e+06 6.69727885e+06 8.35309773e+06 6.31001030e+06]
[ 6.41831585e+06 4.37195464e+06 9.34739312e+06 6.10614131e+06
5.00087835e+06 6.19103825e+06 5.46878444e+06 6.24569610e+06
4.97725690e+06 6.12917887e+06 4.66155177e+06 6.71727396e+06
4.61141529e+06 5.17754745e+06 4.35564771e+06 6.47482742e+06
6.00151054e+06 4.73129589e+06 6.07819522e+06 4.41755640e+06]
[ 5.47516384e+06 3.93351137e+06 7.33047707e+06 5.22263586e+06
4.43334944e+06 5.30778862e+06 4.80087551e+06 5.33850715e+06
4.41917823e+06 5.25338027e+06 4.17063387e+06 5.72063087e+06
4.11793975e+06 4.57401873e+06 3.90372300e+06 5.52151495e+06
5.14576074e+06 4.18509346e+06 5.20613288e+06 3.97315945e+06]
[ 5.64432687e+06 4.37856479e+06 6.42462669e+06 5.37012917e+06
4.87103978e+06 5.48493231e+06 5.20758839e+06 5.50214026e+06
4.86383164e+06 5.43387554e+06 4.61789345e+06 5.89160292e+06
4.56384029e+06 5.01091164e+06 4.31029931e+06 5.68927533e+06
5.30878794e+06 4.54318995e+06 5.35410494e+06 4.42054203e+06]
[ 4.66023856e+06 3.70023380e+06 5.06310713e+06 4.42076474e+06
4.10584904e+06 4.53382926e+06 4.37817940e+06 4.54296490e+06
4.10825216e+06 4.49033486e+06 3.90336086e+06 4.87382491e+06
3.85433070e+06 4.22460603e+06 3.62117953e+06 4.70139281e+06
4.37746897e+06 3.80427697e+06 4.40907575e+06 3.73601391e+06]
[ 2.80640735e+06 2.32407865e+06 3.01619612e+06 2.67792593e+06
2.53724376e+06 2.75154741e+06 2.69311531e+06 2.75504446e+06
2.55130559e+06 2.71905487e+06 2.44097726e+06 2.94207000e+06
2.40096762e+06 2.60523904e+06 2.26761096e+06 2.83971558e+06
2.65728827e+06 2.36063352e+06 2.67528346e+06 2.34334697e+06]
[ 1.49313899e+06 1.36150980e+06 1.57440518e+06 1.44512467e+06
1.44247795e+06 1.48585321e+06 1.51504296e+06 1.48646248e+06
1.45933589e+06 1.46383114e+06 1.41538139e+06 1.56900495e+06
1.38639624e+06 1.47268952e+06 1.32797693e+06 1.51960211e+06
1.43772714e+06 1.35046810e+06 1.44767333e+06 1.37017592e+06]
[ 5.81527028e+05 4.67869653e+05 6.13168102e+05 5.56420075e+05
5.05661677e+05 5.81405508e+05 5.45933093e+05 5.83432278e+05
5.18096075e+05 5.68931908e+05 4.94874487e+05 6.25386838e+05
4.78466131e+05 5.21360248e+05 4.46791816e+05 5.97854158e+05
5.55024982e+05 4.72964729e+05 5.59832924e+05 4.73826515e+05]
[-5.76288525e+04 -3.32738472e+05 1.87170705e+05 -9.39073186e+04
-2.84570910e+05 -7.44338410e+04 -2.43471765e+05 -6.65951890e+04
-2.79366460e+05 -7.91849067e+04 -3.09391727e+05 -2.49821893e+04
-3.12834976e+05 -2.68745597e+05 -3.47138892e+05 -4.99917477e+04
-9.49799207e+04 -2.77840333e+05 -9.34687077e+04 -3.25473418e+05]
[-3.20382098e+05 -5.55170774e+05 -8.35746057e+04 -3.46790008e+05
-5.22743500e+05 -3.35889030e+05 -4.97303517e+05 -3.29082170e+05
-5.21020548e+05 -3.36106983e+05 -5.41944123e+05 -3.03950316e+05
-5.40129485e+05 -5.13393071e+05 -5.62815305e+05 -3.18569744e+05
-3.46481436e+05 -5.01896635e+05 -3.47204542e+05 -5.49450767e+05]
[-3.21244250e+05 -4.60511065e+05 -1.15963405e+05 -3.34196221e+05
-4.46217551e+05 -3.29858491e+05 -4.34533444e+05 -3.25917899e+05
-4.45377877e+05 -3.29142187e+05 -4.55307132e+05 -3.15455159e+05
-4.53323430e+05 -4.42147049e+05 -4.63200030e+05 -3.21509595e+05
-3.33435708e+05 -4.26437799e+05 -3.34337599e+05 -4.57388024e+05]
[-3.41468317e+04 -5.73082024e+04 -2.29333172e+04 -3.66046941e+04
-5.42991249e+04 -3.57511210e+04 -5.20203205e+04 -3.50383354e+04
-5.42416155e+04 -3.55936266e+04 -5.62563823e+04 -3.28313322e+04
-5.56822800e+04 -5.34698445e+04 -5.77292915e+04 -3.40388297e+04
-3.65343507e+04 -5.17626022e+04 -3.67478710e+04 -5.67303039e+04]
[-1.22175200e+04 -1.80928054e+04 -7.24826043e+03 -1.27477888e+04
-1.74505430e+04 -1.26220905e+04 -1.69784888e+04 -1.24512993e+04
-1.74747058e+04 -1.25508037e+04 -1.79016142e+04 -1.20319762e+04
-1.77404075e+04 -1.72731962e+04 -1.81369029e+04 -1.22592327e+04
-1.27293712e+04 -1.66041277e+04 -1.27964436e+04 -1.79879702e+04]
[-8.67173116e+03 -1.14531137e+04 -5.35619922e+03 -8.82071745e+03
-1.13275997e+04 -8.79673088e+03 -1.12038886e+04 -8.71710910e+03
-1.13164389e+04 -8.75706412e+03 -1.14312718e+04 -8.65197409e+03
-1.13635158e+04 -1.12954686e+04 -1.14631379e+04 -8.70737347e+03
-8.78296785e+03 -1.06926063e+04 -8.82296450e+03 -1.14048103e+04]
[-8.86794262e-01 -9.37590891e-02 -4.98677515e-01 2.82956840e-02
-9.94416127e-01 -8.08787596e-01 1.01773200e-01 4.92356938e-01
-8.21906297e-01 3.58802324e-01 -8.88810386e-01 -4.10858913e-01
-3.44812640e-01 -5.58328633e-01 -3.94194794e-01 -5.93180656e-01
-3.07041332e-01 -9.95738334e-01 8.07143171e-01 -9.39403141e-01]
[-1.89099875e-01 -5.19297000e-01 -2.79800887e-01 5.62686057e-01
4.52306130e-01 -8.34174088e-01 2.91030383e-02 -4.51180883e-01
-6.48447183e-01 4.87777490e-01 -7.00163042e-01 4.37338535e-01
-8.17474282e-01 3.06032934e-01 3.70554876e-01 -2.72155177e-01
8.75910620e-01 -5.64735897e-01 -4.04157430e-01 -5.06274757e-01]
[ 4.66518924e-01 -7.23873124e-01 -3.22300405e-02 -4.05694035e-01
4.80180218e-02 -7.18949772e-01 6.68084561e-01 8.45052240e-01
1.05689488e-01 9.59999940e-01 9.38096037e-01 4.61239384e-01
-8.40008551e-01 -6.81094824e-01 -5.79154586e-02 8.28105052e-01
-8.28063545e-01 9.12920497e-01 9.04893124e-01 4.35100094e-01]
[-7.60394616e-01 5.61151732e-01 7.77530999e-01 7.85290591e-01
6.02224789e-01 7.15125179e-01 2.78285875e-01 2.89031000e-01
-7.31860962e-01 1.14155053e-01 -1.31642989e-01 -4.81828086e-01
5.32015868e-01 -1.48873707e-01 5.27115746e-01 9.72404432e-01
-8.80628069e-02 -8.72514136e-02 7.24025514e-01 -7.19788338e-01]
[-9.89866545e+03 1.12850479e+04 5.37092193e+03 -5.39657285e+03
5.57252803e+03 -6.88020400e+03 2.48903994e+03 -7.20013607e+03
6.42427954e+03 -6.76623913e+03 9.41572829e+03 -1.14123481e+04
9.14972792e+03 4.05478727e+03 1.18926619e+04 -9.72670976e+03
-4.76825691e+03 7.85753450e+03 -5.16758844e+03 1.09263596e+04]
[-1.53938475e+03 1.19208214e+05 2.96649215e+03 1.85902736e+04
9.34312351e+04 1.22762785e+04 7.89772496e+04 1.00099914e+04
9.69199888e+04 1.27054076e+04 1.10546865e+05 -8.71424362e+03
1.09030531e+05 8.64438637e+04 1.21997016e+05 -5.22549233e+02
2.06392104e+04 9.53774284e+04 1.99548560e+04 1.17724563e+05]
[ 1.41518096e+05 3.04515430e+05 1.99833594e+05 1.67365529e+05
2.74884510e+05 1.58870301e+05 2.60519496e+05 1.56783576e+05
2.80227932e+05 1.59029109e+05 2.95545278e+05 1.35422773e+05
2.93469752e+05 2.67496320e+05 3.08149761e+05 1.44127393e+05
1.68736797e+05 2.70841013e+05 1.68380212e+05 3.02711581e+05]
[ 5.69096950e+05 6.44116292e+05 7.42251649e+05 5.72402565e+05
6.54375652e+05 5.70265263e+05 6.65180883e+05 5.71799260e+05
6.58312700e+05 5.69150739e+05 6.52875197e+05 5.79400949e+05
6.50430833e+05 6.57528208e+05 6.43191730e+05 5.73630739e+05
5.68357788e+05 6.22022808e+05 5.69662159e+05 6.45411987e+05]
[ 1.26720546e+06 1.45118871e+06 1.49967378e+06 1.26661147e+06
1.48298382e+06 1.26463172e+06 1.51428780e+06 1.26722123e+06
1.48676463e+06 1.25923543e+06 1.47130489e+06 1.29224173e+06
1.46468266e+06 1.49443663e+06 1.45119882e+06 1.27805507e+06
1.25233846e+06 1.38707517e+06 1.26172171e+06 1.45233636e+06]
[ 2.89575539e+06 3.15346627e+06 2.78452405e+06 2.87031600e+06
3.24673358e+06 2.87455100e+06 3.32782553e+06 2.88076376e+06
3.24480682e+06 2.86012021e+06 3.19901086e+06 2.95350887e+06
3.18903722e+06 3.27931175e+06 3.15558466e+06 2.91665034e+06
2.83725895e+06 3.03953528e+06 2.86115500e+06 3.15423370e+06]
[ 4.28864924e+06 4.68612514e+06 3.70884250e+06 4.25674483e+06
4.81290098e+06 4.26050855e+06 4.93278195e+06 4.26955036e+06
4.80563426e+06 4.23334092e+06 4.74375274e+06 4.36831582e+06
4.72662158e+06 4.85935822e+06 4.69972589e+06 4.32099724e+06
4.20373354e+06 4.50870520e+06 4.24755766e+06 4.68364283e+06]
[ 6.97837957e+06 7.90061985e+06 4.72944170e+06 6.96217982e+06
8.03213713e+06 6.96970628e+06 8.17914839e+06 6.96938537e+06
8.02570366e+06 6.92340762e+06 7.96291181e+06 7.08423213e+06
7.93258625e+06 8.09187451e+06 7.92359977e+06 7.03534494e+06
6.88514791e+06 7.55074437e+06 6.95770633e+06 7.89038788e+06]
[ 9.40757279e+06 1.04038702e+07 6.00161533e+06 9.35357658e+06
1.06059878e+07 9.39114586e+06 1.08104430e+07 9.38168752e+06
1.06036088e+07 9.32903555e+06 1.05040962e+07 9.56926267e+06
1.04623238e+07 1.06945084e+07 1.04133463e+07 9.48590713e+06
9.26275333e+06 9.99496458e+06 9.35273542e+06 1.03974995e+07]
[ 1.05253409e+07 1.10888431e+07 7.08473288e+06 1.03948088e+07
1.14022005e+07 1.04667447e+07 1.16802844e+07 1.04617151e+07
1.13977011e+07 1.03972170e+07 1.12385444e+07 1.07420292e+07
1.11940259e+07 1.15259327e+07 1.10781960e+07 1.06123831e+07
1.02948353e+07 1.07598370e+07 1.03910714e+07 1.10909214e+07]
[ 9.84521962e+06 9.98174715e+06 7.29177927e+06 9.67043999e+06
1.03531094e+07 9.75447912e+06 1.06646223e+07 9.76106053e+06
1.03471743e+07 9.68685002e+06 1.01550690e+07 1.00810487e+07
1.01139883e+07 1.04918265e+07 9.96345414e+06 9.93115651e+06
9.56884190e+06 9.76057220e+06 9.65942272e+06 9.98841719e+06]
[ 8.33256678e+06 8.53872077e+06 6.19157845e+06 8.19307049e+06
8.84109046e+06 8.26590072e+06 9.09990525e+06 8.26858291e+06
8.83716271e+06 8.20391800e+06 8.68173108e+06 8.53226063e+06
8.64060914e+06 8.95557044e+06 8.52380409e+06 8.40921115e+06
8.10787106e+06 8.32363092e+06 8.18424831e+06 8.54222874e+06]
[ 7.37016675e+06 7.78686969e+06 4.92766557e+06 7.27140431e+06
8.00848024e+06 7.33631706e+06 8.19712469e+06 7.32837809e+06
8.00943436e+06 7.28181706e+06 7.89879874e+06 7.52979022e+06
7.85520260e+06 8.09434536e+06 7.76591178e+06 7.43643429e+06
7.20623438e+06 7.54216075e+06 7.26752291e+06 7.78864895e+06]
[ 6.11573950e+06 6.77204718e+06 3.84799629e+06 6.06445515e+06
6.90024074e+06 6.12116549e+06 7.01601512e+06 6.10496447e+06
6.91363936e+06 6.07145182e+06 6.85174283e+06 6.24140748e+06
6.80141376e+06 6.95796268e+06 6.74196933e+06 6.17605750e+06
6.01948041e+06 6.49369409e+06 6.06634632e+06 6.76934738e+06]
[ 4.31810574e+06 5.20654240e+06 2.53904117e+06 4.34521202e+06
5.19659535e+06 4.37868579e+06 5.22297393e+06 4.35404128e+06
5.22307719e+06 4.33680653e+06 5.23250215e+06 4.38902080e+06
5.17819980e+06 5.21500053e+06 5.18177608e+06 4.37043359e+06
4.32065336e+06 4.91469076e+06 4.35764898e+06 5.19651700e+06]
[ 2.51655167e+06 3.39942796e+06 1.41725379e+06 2.59352052e+06
3.30079853e+06 2.60439658e+06 3.27092459e+06 2.58055586e+06
3.33147062e+06 2.57285224e+06 3.38556867e+06 2.54358594e+06
3.33753900e+06 3.29180708e+06 3.38612425e+06 2.55766845e+06
2.58439305e+06 3.14945888e+06 2.61090240e+06 3.38563052e+06]
[ 1.54324264e+06 2.20357630e+06 6.87833563e+05 1.61134846e+06
2.11063578e+06 1.61597955e+06 2.07651954e+06 1.59807811e+06
2.13432686e+06 1.59393432e+06 2.18406051e+06 1.55562678e+06
2.15031518e+06 2.09817701e+06 2.19638668e+06 1.57269849e+06
1.60856427e+06 2.02503140e+06 1.62594107e+06 2.19231826e+06]
[ 9.78747910e+05 1.43415354e+06 3.45654872e+05 1.03046223e+06
1.36183988e+06 1.03245145e+06 1.33348380e+06 1.02009462e+06
1.37871683e+06 1.01784386e+06 1.41700813e+06 9.84696711e+05
1.39420749e+06 1.35055446e+06 1.42971411e+06 9.99008130e+05
1.03019129e+06 1.31435016e+06 1.04172329e+06 1.42638846e+06]
[ 6.32184361e+05 9.56379255e+05 2.53535231e+05 6.66843265e+05
9.08140645e+05 6.66968755e+05 8.86893374e+05 6.58824138e+05
9.18358965e+05 6.58649748e+05 9.44285344e+05 6.34051817e+05
9.30457065e+05 8.99812042e+05 9.53839941e+05 6.44755059e+05
6.66474823e+05 8.72080866e+05 6.73490595e+05 9.51151449e+05]
[ 1.95071203e+05 3.22714111e+05 5.08709031e+04 2.09998274e+05
3.00628676e+05 2.10028835e+05 2.90940386e+05 2.06884742e+05
3.05312081e+05 2.06704051e+05 3.16754917e+05 1.95202717e+05
3.11226580e+05 2.96632333e+05 3.21615313e+05 2.00323904e+05
2.10271116e+05 2.90230406e+05 2.13051075e+05 3.20640431e+05]
[-2.08387953e+04 2.44645790e+04 -2.46808505e+04 -1.32507614e+04
1.22984466e+04 -1.41889085e+04 6.97476953e+03 -1.52158234e+04
1.44857802e+04 -1.51870869e+04 2.05021422e+04 -2.25814659e+04
1.86316215e+04 9.85950310e+03 2.47798969e+04 -1.92041115e+04
-1.27096405e+04 1.43439597e+04 -1.17024790e+04 2.36821462e+04]
[-2.08292270e+04 -2.08638472e+04 -2.22223847e+04 -2.01482232e+04
-2.22731725e+04 -2.01972626e+04 -2.28469479e+04 -2.01564773e+04
-2.18681846e+04 -2.01901882e+04 -2.13335086e+04 -2.09421767e+04
-2.13593235e+04 -2.25677450e+04 -2.08324775e+04 -2.06376969e+04
-1.99715399e+04 -2.04131406e+04 -1.99566007e+04 -2.07956473e+04]
[-1.83266163e+03 -3.03845677e+03 -1.01536568e+03 -1.96231251e+03
-2.89305750e+03 -1.90403790e+03 -2.78934145e+03 -1.87736936e+03
-2.86881946e+03 -1.89862372e+03 -2.96691901e+03 -1.75372065e+03
-2.97564602e+03 -2.85420443e+03 -3.08346572e+03 -1.83257378e+03
-1.94940166e+03 -2.75511561e+03 -1.96603660e+03 -3.00779904e+03]
[-8.02099773e-01 -1.51718453e-01 4.01792937e-01 1.55921083e-02
-2.19778129e-02 7.78306554e-01 1.81399778e-01 3.22505904e-01
6.97992488e-01 3.26437509e-01 2.48111871e-01 -2.20788944e-01
8.69897246e-01 -3.05559289e-01 -3.64319289e-01 -2.25628802e-01
-2.62978822e-01 -4.62267412e-01 8.99097764e-01 -2.38812723e-01]
[-3.48888944e-01 -9.79132627e-01 -3.16525362e-01 7.03215116e-01
7.86911952e-01 1.49256433e-01 -5.48079252e-01 6.95286950e-01
-1.97740903e-01 -7.33062811e-01 -2.12257711e-01 -5.33401629e-01
-1.59438461e-01 9.90830567e-01 -9.24160244e-01 2.14141122e-01
-1.14664380e-01 -8.21770419e-01 -9.07582075e-02 9.20813553e-02]
[-3.96748104e-01 -9.85622866e-02 -4.35271603e-01 6.20038330e-01
4.20907546e-01 -2.14323979e-01 -5.28435195e-02 9.02779881e-01
4.83967204e-01 1.67646437e-01 -8.44194055e-01 -2.45585822e-01
3.19070050e-01 4.77495029e-01 6.92121646e-02 2.06569092e-02
-4.55270126e-01 9.55641761e-01 3.83556537e-01 8.28455689e-01]
[ 6.26253645e-01 4.53501717e-01 4.52264403e-01 8.45014796e-01
-4.63906405e-01 -4.03645587e-01 6.47602631e-02 2.24697773e-01
-4.82943708e-01 -8.95887799e-01 5.65256340e-01 -5.74481918e-01
-3.00520061e-01 5.98535085e-01 9.09037640e-01 6.25270347e-01
-6.87468001e-01 -8.87802501e-01 9.35184767e-02 -1.85185527e-01]
[ 9.28053624e-01 1.21296500e-01 3.00247676e-01 9.74495966e-01
9.56349719e-01 -2.80692987e-01 -8.96601536e-01 9.85592270e-01
2.69478314e-01 4.60160699e-01 -6.02402172e-01 9.53517549e-01
-6.74068214e-02 4.57637101e-01 9.07484746e-01 -4.32634966e-01
1.47795493e-01 5.13381946e-01 -8.37901675e-01 -7.85961914e-01]
[ 2.46149469e+03 4.21294075e+03 3.69309772e+01 2.72237176e+03
3.88239140e+03 2.63649134e+03 3.72081313e+03 2.60336713e+03
3.91734822e+03 2.63899924e+03 4.08450475e+03 2.37929007e+03
4.09072762e+03 3.80476871e+03 4.28669915e+03 2.48625207e+03
2.73007456e+03 3.84302042e+03 2.74630906e+03 4.19116452e+03]
[ 4.40483960e+04 7.84864070e+04 9.83897391e+03 4.87962989e+04
7.23640855e+04 4.73760866e+04 6.91657076e+04 4.67343753e+04
7.30077251e+04 4.72980883e+04 7.62249068e+04 4.25443748e+04
7.59734791e+04 7.09086304e+04 7.94404409e+04 4.45263584e+04
4.89678413e+04 7.08235436e+04 4.92201060e+04 7.79876653e+04]
[ 2.15823003e+05 3.74783205e+05 7.48157843e+04 2.37169842e+05
3.46531866e+05 2.31371154e+05 3.32348461e+05 2.28391915e+05
3.49913493e+05 2.30282733e+05 3.64645531e+05 2.09774841e+05
3.62485315e+05 3.40336806e+05 3.78530255e+05 2.18428242e+05
2.37511266e+05 3.38130563e+05 2.39363199e+05 3.72185667e+05]
[ 5.73159707e+05 9.54209408e+05 1.41809109e+05 6.21835737e+05
8.90620461e+05 6.08750569e+05 8.59684965e+05 6.01131742e+05
8.98015160e+05 6.05989190e+05 9.31015693e+05 5.59499029e+05
9.26251336e+05 8.77505427e+05 9.63463644e+05 5.79266525e+05
6.21676255e+05 8.63766987e+05 6.27176429e+05 9.48109155e+05]
[ 1.32553628e+06 2.24100393e+06 2.93910316e+05 1.43477904e+06
2.09852439e+06 1.40588946e+06 2.02782039e+06 1.38721151e+06
2.11433897e+06 1.39919288e+06 2.18919243e+06 1.29403391e+06
2.17639033e+06 2.06915991e+06 2.26110308e+06 1.33935221e+06
1.43251781e+06 2.01777761e+06 1.44667386e+06 2.22702457e+06]
[ 2.83202588e+06 4.66394218e+06 4.78776908e+05 3.03476133e+06
4.40037609e+06 2.98356974e+06 4.26924235e+06 2.94509854e+06
4.42791720e+06 2.96915488e+06 4.56785679e+06 2.77437702e+06
4.54148979e+06 4.34704418e+06 4.70006662e+06 2.86059067e+06
3.02601495e+06 4.20612932e+06 3.05769653e+06 4.63677011e+06]
[ 4.86274545e+06 7.82705444e+06 6.06517248e+05 5.18172415e+06
7.41038157e+06 5.10470589e+06 7.20432043e+06 5.04104124e+06
7.45323909e+06 5.07871936e+06 7.67527226e+06 4.77301485e+06
7.63019142e+06 7.32786340e+06 7.88157878e+06 4.91111643e+06
5.16524656e+06 7.07868989e+06 5.21934758e+06 7.78240741e+06]
[ 7.14237994e+06 1.12270471e+07 7.80174746e+05 7.57079944e+06
1.06674534e+07 7.47310543e+06 1.03909180e+07 7.38441346e+06
1.07268102e+07 7.43381653e+06 1.10250968e+07 7.02914624e+06
1.09612924e+07 1.05593550e+07 1.12969684e+07 7.21477162e+06
7.54585813e+06 1.01893659e+07 7.62214896e+06 1.11644532e+07]
[ 8.29260434e+06 1.28361519e+07 9.81391148e+05 8.76937638e+06
1.22118132e+07 8.66498562e+06 1.19057655e+07 8.56715864e+06
1.22810993e+07 8.61852493e+06 1.26130393e+07 8.17516812e+06
1.25403622e+07 1.20932634e+07 1.29114181e+07 8.38017622e+06
8.74102584e+06 1.16836908e+07 8.82703217e+06 1.27649938e+07]
[ 7.82668498e+06 1.22511449e+07 1.00834000e+06 8.30597016e+06
1.16190439e+07 8.20357463e+06 1.13125236e+07 8.10784418e+06
1.16926131e+07 8.15589390e+06 1.20278653e+07 7.71241058e+06
1.19506088e+07 1.14994255e+07 1.23238413e+07 7.91693081e+06
8.27940594e+06 1.11359744e+07 8.36629978e+06 1.21805152e+07]
[ 7.19009238e+06 1.14402593e+07 9.12797006e+05 7.66365803e+06
1.08106523e+07 7.56329486e+06 1.05060006e+07 7.47020077e+06
1.08871419e+07 7.51715869e+06 1.12197259e+07 7.07673282e+06
1.11417692e+07 1.06907065e+07 1.15117208e+07 7.27879224e+06
7.64070642e+06 1.03760477e+07 7.72432871e+06 1.13723551e+07]
[ 6.30274368e+06 9.94262563e+06 6.86296371e+05 6.70400458e+06
9.40690514e+06 6.62001505e+06 9.14627942e+06 6.53962323e+06
9.47108292e+06 6.57946369e+06 9.75457462e+06 6.20459295e+06
9.68638678e+06 9.30461043e+06 1.00037390e+07 6.37837111e+06
6.68368130e+06 9.02671942e+06 6.75553343e+06 9.88457173e+06]
[ 5.12158621e+06 8.05185545e+06 4.93947387e+05 5.44120139e+06
7.62451887e+06 5.37595388e+06 7.41036914e+06 5.30950334e+06
7.67324267e+06 5.34221004e+06 7.90144710e+06 5.04002952e+06
7.84502697e+06 7.54064401e+06 8.09747806e+06 5.18005798e+06
5.42726438e+06 7.31115322e+06 5.48263870e+06 8.00574567e+06]
[ 4.02609803e+06 6.43178368e+06 5.71879744e+05 4.29392735e+06
6.06971604e+06 4.24405141e+06 5.88659184e+06 4.18880586e+06
6.11541588e+06 4.21294535e+06 6.30861380e+06 3.96407071e+06
6.25582195e+06 5.99842723e+06 6.46315672e+06 4.07784480e+06
4.28519637e+06 5.82880385e+06 4.33028905e+06 6.39305506e+06]
[ 2.87576423e+06 4.71496709e+06 6.57330471e+05 3.08985388e+06
4.42119673e+06 3.05352358e+06 4.27643597e+06 3.01164986e+06
4.46230779e+06 3.02707044e+06 4.61861457e+06 2.83252199e+06
4.57209133e+06 4.36425886e+06 4.73465754e+06 2.92054559e+06
3.08408827e+06 4.26004686e+06 3.12010214e+06 4.68358905e+06]
[ 2.02017046e+06 3.34087632e+06 5.85513386e+05 2.17876061e+06
3.12254147e+06 2.15302606e+06 3.01806023e+06 2.12432904e+06
3.15464547e+06 2.13291288e+06 3.27066192e+06 1.99205770e+06
3.23459359e+06 3.08096952e+06 3.35294006e+06 2.05553372e+06
2.17443956e+06 3.01702397e+06 2.20122760e+06 3.31723438e+06]
[ 1.22245138e+06 2.06547290e+06 3.73494477e+05 1.32727235e+06
1.92005857e+06 1.31059640e+06 1.85123831e+06 1.29244653e+06
1.94150004e+06 1.29691635e+06 2.01882002e+06 1.20421754e+06
1.99428325e+06 1.89209900e+06 2.07288979e+06 1.24604917e+06
1.32517351e+06 1.86036532e+06 1.34239091e+06 2.04990044e+06]
[ 7.66715945e+05 1.33187431e+06 2.54677540e+05 8.38723570e+05
1.23185129e+06 8.26812235e+05 1.18413987e+06 8.14898127e+05
1.24623563e+06 8.17798062e+05 1.29922479e+06 7.53605759e+05
1.28345732e+06 1.21217848e+06 1.33737303e+06 7.82590528e+05
8.38157467e+05 1.19578535e+06 8.48900503e+05 1.32131602e+06]
[ 5.01044103e+05 8.69914250e+05 1.75026950e+05 5.46357155e+05
8.07377011e+05 5.38484781e+05 7.76410022e+05 5.30925837e+05
8.16212727e+05 5.33300575e+05 8.49547992e+05 4.92258140e+05
8.39888916e+05 7.94797296e+05 8.73292383e+05 5.10841613e+05
5.45771006e+05 7.80913186e+05 5.52248974e+05 8.63193960e+05]
[ 1.83598925e+05 3.32844070e+05 5.03558992e+04 2.02462312e+05
3.06417151e+05 1.99269150e+05 2.93296549e+05 1.96134558e+05
3.10323367e+05 1.97110887e+05 3.24323202e+05 1.79835939e+05
3.20208189e+05 3.01110564e+05 3.34147573e+05 1.87624158e+05
2.02375282e+05 2.97237034e+05 2.04981696e+05 3.30039320e+05]
[ 6.91751514e+04 1.21195113e+05 3.06367694e+04 7.55137593e+04
1.12223853e+05 7.44573911e+04 1.07804067e+05 7.33667829e+04
1.13378917e+05 7.36346577e+04 1.18231776e+05 6.77505862e+04
1.16718678e+05 1.10340322e+05 1.21539894e+05 7.04378687e+04
7.54397594e+04 1.08464536e+05 7.63942739e+04 1.20223559e+05]
[ 1.17419998e+04 2.05040475e+04 6.75994245e+03 1.28342814e+04
1.89418298e+04 1.26660814e+04 1.81859969e+04 1.24790041e+04
1.91652886e+04 1.25107303e+04 2.00134468e+04 1.15151201e+04
1.97064698e+04 1.86170802e+04 2.05343634e+04 1.19629008e+04
1.28064266e+04 1.83599386e+04 1.29935325e+04 2.03371139e+04]
[ 7.95435542e-01 3.66927426e-01 -7.35564375e-01 2.67462538e-02
-5.56368024e-01 2.46174808e-01 -1.22257981e-02 7.84399119e-02
-2.20342716e-01 2.18654539e-01 8.73876842e-01 9.31141776e-02
-3.36021020e-01 -9.87107513e-01 -7.01504626e-01 -8.79652213e-01
-8.99813294e-01 7.76717502e-01 -2.38715958e-01 -8.34657056e-01]
[-9.38432905e-01 1.00773837e-01 1.54338949e-01 2.37073737e-01
-1.69689071e-01 4.83755273e-01 9.00190348e-01 -7.37110288e-02
-6.70798465e-01 -9.01007059e-01 -1.79700255e-01 9.29154685e-01
2.19112067e-01 -6.96463507e-01 -6.71808983e-01 3.18152630e-01
1.45935032e-01 6.23218977e-01 -8.19527663e-01 -2.24235567e-01]
[ 7.29089927e-01 2.59132726e-01 -8.62876364e-01 9.54327879e-01
1.31797183e-02 -5.89768232e-01 4.14285804e-01 2.49844788e-01
5.12070916e-01 -4.00060069e-01 4.29476101e-01 3.32279549e-01
7.12188445e-01 -6.88917587e-01 -6.38826026e-01 -4.67439385e-01
1.80809746e-01 -8.99343356e-01 6.57881592e-01 7.58598649e-01]
[ 4.28299283e-01 -2.88572558e-01 -7.91460873e-01 -9.74866917e-01
5.06118926e-01 3.09750790e-01 9.01609781e-01 8.84692276e-01
-8.33521479e-01 9.29410442e-01 9.57454914e-04 -8.55746219e-01
9.23611421e-01 -3.15106391e-01 -7.11726352e-01 5.82875430e-01
-5.81634276e-01 -9.95675036e-02 8.74802476e-02 -3.59145210e-01]
[-1.63156745e-01 5.63843539e-01 -9.98715824e-02 -2.03493772e-01
6.00415864e-01 8.61730095e-01 1.12647708e-01 -5.88556255e-01
-5.46894912e-01 3.77413517e-01 -1.98235195e-01 6.38787173e-01
7.89962305e-01 -2.45781383e-01 -4.16216476e-01 9.05707402e-01
6.02552447e-01 -6.84880596e-01 7.90689288e-01 8.41104414e-01]
[-6.09058124e-01 6.06368523e-01 5.53481506e-01 1.25277474e-01
7.54257628e-02 -2.45605485e-01 8.48140604e-01 -6.53820682e-01
-4.96511371e-01 -5.50106981e-01 7.04067481e-01 -3.57817758e-01
4.63119706e-01 -4.76268576e-01 -6.23609600e-01 9.01547086e-01
9.29612305e-01 -9.33405344e-01 2.31445813e-01 6.18405206e-01]
[ 1.20140280e+03 2.62441284e+03 8.12637666e+02 1.40832892e+03
2.33780338e+03 1.36059545e+03 2.20122482e+03 1.33380821e+03
2.36884541e+03 1.34238215e+03 2.52074822e+03 1.14203978e+03
2.48917044e+03 2.27756340e+03 2.64777078e+03 1.23303290e+03
1.41458002e+03 2.29306898e+03 1.43284713e+03 2.59461919e+03]
[ 1.49933337e+04 2.99284805e+04 7.22933166e+03 1.71013625e+04
2.70069686e+04 1.66120166e+04 2.56030088e+04 1.63209874e+04
2.73145606e+04 1.64257714e+04 2.88547576e+04 1.43815423e+04
2.85532857e+04 2.63903095e+04 3.01967201e+04 1.52899384e+04
1.71644022e+04 2.64159981e+04 1.73686106e+04 2.96321147e+04]
[ 4.07050544e+04 8.76562067e+04 -1.40982300e+03 4.82383149e+04
7.71481680e+04 4.61277016e+04 7.22643278e+04 4.51621578e+04
7.84841234e+04 4.57226511e+04 8.37542492e+04 3.82750847e+04
8.29371203e+04 7.50424001e+04 8.92085927e+04 4.13726729e+04
4.84513849e+04 7.70955462e+04 4.92349481e+04 8.67444357e+04]
[ 1.19431694e+05 2.90343407e+05 -2.92102380e+04 1.44030819e+05
2.56510883e+05 1.37069999e+05 2.40816158e+05 1.33463892e+05
2.60597223e+05 1.35694439e+05 2.77633747e+05 1.11289791e+05
2.74975076e+05 2.49959585e+05 2.95737680e+05 1.21712716e+05
1.44039844e+05 2.50111371e+05 1.47313245e+05 2.87291031e+05]
[ 5.03771110e+05 9.53494780e+05 1.89986141e+04 5.54788906e+05
8.86167987e+05 5.40622730e+05 8.53018440e+05 5.31706011e+05
8.93068346e+05 5.37497091e+05 9.27968784e+05 4.87768250e+05
9.22847924e+05 8.72907376e+05 9.64720855e+05 5.10011131e+05
5.52793337e+05 8.41586389e+05 5.60392100e+05 9.46600970e+05]
[ 1.26046249e+06 2.16103670e+06 6.85846433e+04 1.35891172e+06
2.03126610e+06 1.33179678e+06 1.96729927e+06 1.31370188e+06
2.04389759e+06 1.32564222e+06 2.11141044e+06 1.22908514e+06
2.10185952e+06 2.00587238e+06 2.18285862e+06 1.27311445e+06
1.35393041e+06 1.93508919e+06 1.36977561e+06 2.14745286e+06]
[ 2.30682635e+06 3.67662457e+06 5.42605863e+04 2.45125388e+06
3.48685356e+06 2.41235582e+06 3.39152947e+06 2.38398344e+06
3.50435213e+06 2.40293823e+06 3.60369447e+06 2.26020627e+06
3.58991232e+06 3.44955645e+06 3.70800784e+06 2.32639989e+06
2.44271017e+06 3.33082734e+06 2.46716119e+06 3.65617965e+06]
[ 3.15884487e+06 4.92671669e+06 -6.80547121e+04 3.34448698e+06
4.68244497e+06 3.29509953e+06 4.55863280e+06 3.25740495e+06
4.70540485e+06 3.28290563e+06 4.83314368e+06 3.09831859e+06
4.81524715e+06 4.63472517e+06 4.96681359e+06 3.18427886e+06
3.33333718e+06 4.48047240e+06 3.36497696e+06 4.90012785e+06]
[ 3.50280665e+06 5.44283818e+06 -3.47164469e+03 3.70894623e+06
5.17196607e+06 3.65611807e+06 5.03603686e+06 3.61514413e+06
5.19972097e+06 3.64184673e+06 5.34128730e+06 3.44097256e+06
5.31910821e+06 5.12015335e+06 5.48512920e+06 3.53430084e+06
3.69618637e+06 4.95528204e+06 3.73181670e+06 5.41304092e+06]
[ 3.32515980e+06 5.27583138e+06 8.12798803e+04 3.53305502e+06
5.00240110e+06 3.48147547e+06 4.86512655e+06 3.44088787e+06
5.03262834e+06 3.46680699e+06 5.17560161e+06 3.26674413e+06
5.15087715e+06 4.95034999e+06 5.31594510e+06 3.35947996e+06
3.51994589e+06 4.78729295e+06 3.55596349e+06 5.24584189e+06]
[ 2.94961522e+06 4.80301436e+06 4.03674778e+04 3.15437619e+06
4.52962984e+06 3.10366735e+06 4.39385802e+06 3.06488701e+06
4.56176542e+06 3.08987305e+06 4.70351638e+06 2.89142806e+06
4.67893310e+06 4.47754907e+06 4.84236385e+06 2.98278767e+06
3.14323990e+06 4.34328736e+06 3.17773926e+06 4.77413382e+06]
[ 2.68986723e+06 4.42033131e+06 -3.34548391e+04 2.88652987e+06
4.15592762e+06 2.83723590e+06 4.02435982e+06 2.80060932e+06
4.18545375e+06 2.82422672e+06 4.32300969e+06 2.63081388e+06
4.29937243e+06 4.10469346e+06 4.45821646e+06 2.71987081e+06
2.87736743e+06 3.99288904e+06 2.90967255e+06 4.39290250e+06]
[ 2.07172428e+06 3.35144646e+06 -2.69830966e+04 2.21691985e+06
3.15711833e+06 2.18011915e+06 3.05685703e+06 2.15273620e+06
3.17736627e+06 2.17025679e+06 3.27911487e+06 2.02625827e+06
3.26163004e+06 3.11879473e+06 3.37929188e+06 2.09247159e+06
2.21059505e+06 3.03466716e+06 2.23421510e+06 3.33138408e+06]
[ 1.52595148e+06 2.52144767e+06 -1.00334725e+04 1.64253914e+06
2.36338820e+06 1.61496346e+06 2.28142121e+06 1.59327317e+06
2.38275800e+06 1.60590648e+06 2.46470398e+06 1.49283972e+06
2.44889400e+06 2.33284723e+06 2.54181250e+06 1.54392493e+06
1.63853122e+06 2.27819738e+06 1.65729090e+06 2.50517010e+06]
[ 1.04068225e+06 1.79015329e+06 1.05373826e+05 1.12868939e+06
1.66965695e+06 1.10966175e+06 1.60941064e+06 1.09358944e+06
1.68486337e+06 1.10167127e+06 1.74797773e+06 1.01798629e+06
1.73404748e+06 1.64608958e+06 1.80304248e+06 1.05590624e+06
1.12592940e+06 1.60700675e+06 1.14008710e+06 1.77757633e+06]
[ 7.81220707e+05 1.33390356e+06 1.39098472e+05 8.48324721e+05
1.24104874e+06 8.34519586e+05 1.19553911e+06 8.22940762e+05
1.25322368e+06 8.28029000e+05 1.30202112e+06 7.65155883e+05
1.29014742e+06 1.22293399e+06 1.34241181e+06 7.93503086e+05
8.46471698e+05 1.19990926e+06 8.57205874e+05 1.32419012e+06]
[ 5.01123927e+05 8.60093320e+05 1.28326961e+05 5.46210586e+05
7.97569615e+05 5.36781766e+05 7.67410554e+05 5.29494114e+05
8.06172416e+05 5.32467544e+05 8.38942357e+05 4.90741481e+05
8.30639904e+05 7.85477928e+05 8.65671734e+05 5.09248095e+05
5.45005447e+05 7.73886691e+05 5.52160322e+05 8.53555802e+05]
[ 3.13873449e+05 5.41499045e+05 1.16545724e+05 3.42471817e+05
5.02055259e+05 3.36693470e+05 4.82716349e+05 3.32222995e+05
5.07711871e+05 3.33894341e+05 5.28410360e+05 3.07977554e+05
5.23060682e+05 4.94234504e+05 5.44672457e+05 3.19372545e+05
3.41914167e+05 4.87296428e+05 3.46126559e+05 5.37429033e+05]
[ 1.74141612e+05 2.98221751e+05 5.92590803e+04 1.89582506e+05
2.76988159e+05 1.86475143e+05 2.66534783e+05 1.84087866e+05
2.80239700e+05 1.84964392e+05 2.91290552e+05 1.71161092e+05
2.88367813e+05 2.72869394e+05 2.99943793e+05 1.77293046e+05
1.89217211e+05 2.68637729e+05 1.91461675e+05 2.95981010e+05]
[ 7.70686313e+04 1.18919621e+05 3.71600699e+04 8.16181206e+04
1.12864636e+05 8.07062321e+04 1.09925100e+05 7.99605884e+04
1.13586067e+05 8.01603621e+04 1.16857818e+05 7.61905233e+04
1.15963166e+05 1.11661417e+05 1.19390882e+05 7.80620477e+04
8.13505935e+04 1.08401316e+05 8.21403078e+04 1.18199319e+05]
[ 2.00769629e+04 2.83849975e+04 1.14886415e+04 2.08913587e+04
2.73552956e+04 2.07254724e+04 2.69021725e+04 2.05935606e+04
2.74647198e+04 2.05992896e+04 2.80290642e+04 1.99611381e+04
2.78580077e+04 2.71657555e+04 2.84817898e+04 2.02849154e+04
2.07972115e+04 2.62026885e+04 2.09798884e+04 2.82462689e+04]
[ 6.04658682e-01 9.12474780e-01 5.18903936e-01 8.53073651e-01
-8.21428503e-01 7.33713371e-01 9.67953597e-01 8.32444395e-02
6.97239794e-01 -2.36199708e-01 3.60902384e-01 -9.76434463e-02
2.38733166e-01 -8.16488560e-01 8.06915547e-01 -9.69485467e-01
1.10502127e-01 -7.95462389e-01 9.31313040e-01 -1.84270741e-03]
[ 9.69738971e-01 1.67520815e-01 -1.71912507e-03 -2.10249337e-01
7.26366323e-01 -3.25923531e-01 4.57540561e-01 -7.81700319e-01
5.31839463e-01 4.54029200e-01 5.33417022e-01 8.93708968e-01
-7.73344171e-01 -6.02877190e-01 -8.43487217e-01 -2.75690972e-01
-6.08990794e-02 4.40515462e-02 -3.55596888e-01 8.18083195e-01]
[ 2.80220745e-01 5.22893881e-01 -2.07329348e-01 9.58764919e-01
-5.14019080e-01 8.82042125e-01 3.57976836e-01 6.51210548e-02
-9.31384934e-02 -3.34401184e-01 3.02766689e-01 -7.89355737e-01
-4.93219588e-01 8.59582296e-01 -5.87396813e-01 6.34903913e-01
-3.00504352e-01 4.63497068e-01 -9.64828995e-01 3.84823092e-01]
[-2.41618705e-01 5.66671233e-01 6.65282603e-02 8.30098511e-01
-8.03899960e-01 4.61935320e-02 -1.12370122e-01 5.97784792e-01
4.25957179e-01 1.72175369e-01 4.71524924e-01 1.37788579e-01
1.17276882e-01 1.05511931e-01 8.90962843e-01 -3.22809186e-01
-1.48934013e-02 -6.89915533e-01 -9.66437046e-01 7.29574222e-02]
[ 5.23011829e-01 8.60530391e-01 -5.12435590e-01 4.64878342e-01
4.16646953e-01 -7.01402087e-03 -4.01933967e-01 8.26675396e-01
8.66112780e-01 -8.66462505e-01 1.47177351e-01 7.60784152e-01
9.50551613e-01 9.55571494e-01 -2.41345855e-01 8.33726060e-01
-6.44782061e-01 -6.63602830e-01 -2.75727005e-01 -8.05995946e-01]
[ 9.81864274e-01 3.59641892e-01 8.77308144e-02 8.59534303e-01
9.94948517e-01 6.22941747e-01 -7.95335309e-01 -8.37654022e-01
-1.71502373e-01 1.09504856e-01 3.33920708e-01 5.88236670e-01
3.10246379e-01 -3.36584116e-01 5.74452116e-01 -5.51883324e-01
-4.90368432e-01 -2.99479041e-01 -1.08942377e-01 -6.00767293e-02]
[ 8.16457939e-01 -9.57030337e-01 7.56808201e-01 2.99785395e-01
-1.50881848e-01 -4.93406345e-01 7.26128910e-01 9.60166983e-01
-4.42379317e-01 9.21779474e-01 -3.80818148e-01 3.24996155e-01
6.04734749e-01 -1.92417197e-01 9.62344199e-01 -3.14130703e-01
-7.80663487e-01 -6.84924430e-01 -8.35177852e-01 2.33227778e-01]
[ 2.06996650e-01 -3.06854685e-01 -2.24064843e-01 1.91555496e-01
1.79392718e-02 4.38613318e-01 1.33957682e-01 5.32155381e-01
7.35053030e-01 -5.01399610e-01 -6.84124116e-01 -3.74097217e-01
-2.21592107e-01 -5.90510458e-01 1.40519310e-01 2.43059400e-01
-1.85872925e-01 -1.11440433e-01 -9.75153315e-01 -2.66862348e-01]
[-5.25182086e-01 -9.95316194e-01 6.73804898e-01 1.76596803e-01
7.08470879e-01 1.60169864e-01 -9.94964669e-01 1.26533708e-01
7.63531941e-01 -9.44516020e-01 -5.19920044e-01 -8.43138386e-01
-4.06999690e-01 6.97276547e-01 -4.91741139e-01 1.21562989e-01
-2.55829183e-01 7.01575873e-01 3.31003464e-02 -6.88108612e-01]
[-3.72855785e+04 -4.40164652e+04 -1.97804288e+04 -3.63725784e+04
-4.56191815e+04 -3.67360826e+04 -4.59768230e+04 -3.66110765e+04
-4.52540382e+04 -3.67796998e+04 -4.46036093e+04 -3.77598661e+04
-4.48002432e+04 -4.58425837e+04 -4.37645328e+04 -3.74380670e+04
-3.61581149e+04 -4.17466261e+04 -3.61160698e+04 -4.40803611e+04]
[-8.29343991e+04 -8.35369327e+04 -2.88593512e+04 -8.17681690e+04
-8.53593827e+04 -8.22186579e+04 -8.57720169e+04 -8.20928038e+04
-8.49333569e+04 -8.23076577e+04 -8.41601514e+04 -8.33456129e+04
-8.44693530e+04 -8.55936638e+04 -8.32181612e+04 -8.29818519e+04
-8.16877947e+04 -8.30403065e+04 -8.15368206e+04 -8.36471779e+04]
[-6.70120833e+04 -4.56879818e+04 -2.51626007e+04 -6.39381604e+04
-4.98757325e+04 -6.49089406e+04 -5.15214771e+04 -6.51799192e+04
-4.92128386e+04 -6.50962560e+04 -4.71787773e+04 -6.78921252e+04
-4.76757102e+04 -5.05647561e+04 -4.49227785e+04 -6.67482849e+04
-6.40558018e+04 -5.08772556e+04 -6.35535144e+04 -4.60518441e+04]
[ 3.11868445e+04 6.85598045e+04 -1.96401834e+04 3.68009507e+04
6.08688054e+04 3.50575466e+04 5.75532512e+04 3.42936761e+04
6.18191505e+04 3.47959286e+04 6.56178027e+04 2.91763109e+04
6.50549257e+04 5.94872383e+04 6.99939974e+04 3.15714023e+04
3.67113170e+04 5.96958776e+04 3.75478994e+04 6.78844668e+04]
[ 1.10457864e+05 1.66320616e+05 1.69895104e+04 1.16238729e+05
1.58923442e+05 1.14585566e+05 1.55065699e+05 1.13468093e+05
1.59609540e+05 1.14323749e+05 1.63475589e+05 1.08683709e+05
1.63067041e+05 1.57409418e+05 1.67723312e+05 1.11172929e+05
1.15939992e+05 1.52284856e+05 1.16778485e+05 1.65575877e+05]
[ 2.16297663e+05 3.20188931e+05 1.14340555e+04 2.26289149e+05
3.07575889e+05 2.23389544e+05 3.00766294e+05 2.21262899e+05
3.08546736e+05 2.22867920e+05 3.15226642e+05 2.12929873e+05
3.14553617e+05 3.05015153e+05 3.22681771e+05 2.17520235e+05
2.25609774e+05 2.93587735e+05 2.27160377e+05 3.18777636e+05]
[ 3.42402930e+05 5.00152131e+05 5.39818890e+03 3.57102689e+05
4.81668395e+05 3.52806190e+05 4.71764833e+05 3.49542733e+05
4.83036254e+05 3.51997606e+05 4.92813933e+05 3.37322748e+05
4.91850236e+05 4.78042652e+05 5.03903444e+05 3.44253109e+05
3.55837284e+05 4.59401618e+05 3.58375312e+05 4.97993430e+05]
[ 4.22735034e+05 6.29452411e+05 5.06869218e+04 4.43491517e+05
6.02684747e+05 4.37608940e+05 5.88758884e+05 4.33488808e+05
6.05444672e+05 4.36470050e+05 6.19289252e+05 4.16298633e+05
6.17515633e+05 5.97474325e+05 6.34285849e+05 4.25392513e+05
4.42079898e+05 5.77007440e+05 4.45384623e+05 6.26515364e+05]
[ 3.50456206e+05 5.49083616e+05 6.20367108e+04 3.72293511e+05
5.18951228e+05 3.66377074e+05 5.04027865e+05 3.62395177e+05
5.24075840e+05 3.65267535e+05 5.38625690e+05 3.44094738e+05
5.36520846e+05 5.13347902e+05 5.53817543e+05 3.53454236e+05
3.71325780e+05 5.00523746e+05 3.74385969e+05 5.46122261e+05]
[ 3.94827062e+05 6.17324984e+05 3.24698431e+04 4.18933171e+05
5.85148722e+05 4.12582538e+05 5.68532838e+05 4.08046540e+05
5.89256727e+05 4.11330848e+05 6.05580507e+05 3.87441168e+05
6.03258161e+05 5.78869651e+05 6.22454847e+05 3.98588789e+05
4.17692367e+05 5.62374963e+05 4.21380528e+05 6.14052317e+05]
[ 2.66095957e+05 4.21819080e+05 9.47308785e+03 2.83895339e+05
3.98482316e+05 2.79028302e+05 3.84053729e+05 2.75791547e+05
4.01111453e+05 2.78260228e+05 4.13005643e+05 2.60528632e+05
4.11520889e+05 3.94069037e+05 4.25912566e+05 2.68604931e+05
2.83037290e+05 3.84243496e+05 2.85921002e+05 4.19528012e+05]
[ 1.97698729e+05 3.05957315e+05 4.30193770e+03 2.09738655e+05
2.90090241e+05 2.06279751e+05 2.80497737e+05 2.04023339e+05
2.91833833e+05 2.05709015e+05 2.99854936e+05 1.93824463e+05
2.99019000e+05 2.87097795e+05 3.08980698e+05 1.99076324e+05
2.09205330e+05 2.79511793e+05 2.11099950e+05 3.04385886e+05]
[ 1.51643026e+05 2.25374989e+05 4.13121262e+03 1.59055953e+05
2.15839402e+05 1.56920298e+05 2.10969756e+05 1.55427839e+05
2.16706321e+05 1.56501282e+05 2.21625092e+05 1.49223083e+05
2.21161138e+05 2.14055387e+05 2.27268618e+05 1.52617378e+05
1.58542336e+05 2.06606172e+05 1.59794145e+05 2.24287886e+05]
[ 1.13799699e+05 1.70486345e+05 8.95348739e+03 1.19583998e+05
1.62973656e+05 1.18035323e+05 1.59249029e+05 1.16907742e+05
1.63712629e+05 1.17638188e+05 1.67613197e+05 1.12093014e+05
1.67095759e+05 1.61615293e+05 1.71779581e+05 1.14701655e+05
1.19140509e+05 1.56059905e+05 1.20188976e+05 1.69601119e+05]
[ 5.54044141e+04 8.65873198e+04 1.02012374e+04 5.89174044e+04
8.19428123e+04 5.80454593e+04 7.96718390e+04 5.74492731e+04
8.24955820e+04 5.77879038e+04 8.48934331e+04 5.45057002e+04
8.44888392e+04 8.10582680e+04 8.72524211e+04 5.60070345e+04
5.87476835e+04 7.88725293e+04 5.92985084e+04 8.60838501e+04]
[ 3.86412782e+04 6.34266004e+04 3.69041190e+03 4.15761809e+04
5.95040458e+04 4.10094795e+04 5.75473756e+04 4.05228220e+04
6.02139243e+04 4.07724839e+04 6.22121873e+04 3.82072974e+04
6.16840341e+04 5.88036631e+04 6.37857042e+04 3.93474879e+04
4.14491197e+04 5.74974764e+04 4.18980123e+04 6.30148277e+04]
[ 2.25064378e+04 3.98621392e+04 -3.79686780e+03 2.47630385e+04
3.68006756e+04 2.43332168e+04 3.52462248e+04 2.39700816e+04
3.74321549e+04 2.41579558e+04 3.89642615e+04 2.21880932e+04
3.85152544e+04 3.62665503e+04 4.01309473e+04 2.30320219e+04
2.47114033e+04 3.58485686e+04 2.50175042e+04 3.95535956e+04]
[ 1.87880340e+04 3.05568405e+04 5.06973668e+03 2.01606448e+04
2.87160621e+04 1.98708005e+04 2.77791071e+04 1.96428792e+04
2.89520684e+04 1.97423887e+04 2.99430849e+04 1.84861222e+04
2.96733772e+04 2.83438427e+04 3.07189563e+04 1.90526656e+04
2.01085198e+04 2.76744292e+04 2.03180788e+04 3.03550426e+04]
[-6.87044688e-01 -8.12663762e-01 3.53047511e-01 2.80693483e-01
-7.90176046e-01 7.83349247e-01 -2.40204684e-02 -1.11846145e-01
3.20913296e-01 9.59964737e-01 -3.64106928e-01 6.12379249e-01
-5.06158555e-01 -7.53293888e-01 9.60297566e-01 6.71373340e-01
-9.23745506e-01 -9.65584872e-02 7.59261364e-01 -3.67386491e-01]
[ 8.23332671e-01 7.44078097e-01 -1.42307112e-01 -4.47358836e-01
7.14673571e-01 -2.86302047e-01 1.69909519e-01 7.45916402e-01
-9.47396224e-01 6.41746323e-01 -4.59424901e-01 -7.22979121e-01
2.71046470e-01 -4.13747317e-01 9.46464694e-01 3.28865240e-01
4.26095377e-01 -3.62196214e-01 -1.57842463e-01 4.58065993e-01]
[ 9.03157119e-01 -9.96877481e-02 -8.45656752e-01 -1.39808692e-01
-8.65586865e-01 8.08784631e-01 9.99154768e-01 -3.91358553e-01
-9.88870401e-02 -5.49081813e-01 -4.60986166e-01 -9.23433522e-01
-1.13922931e-01 -9.62865025e-01 6.97736874e-01 5.05594361e-02
3.87473368e-02 9.87965486e-01 7.85621416e-01 -5.77261468e-01]
[-5.81980281e-01 7.83670513e-02 2.53857999e-01 7.54588332e-01
-5.66803284e-01 -9.22563764e-01 -9.26792679e-01 1.68927077e-02
-8.57073425e-01 -6.09920458e-01 -9.63252768e-01 -2.92311020e-01
5.12468738e-01 6.88805253e-01 6.30640374e-02 3.05776412e-01
4.78415051e-02 2.16217060e-01 4.11221448e-01 -5.18250119e-01]
[ 8.56916541e-01 -2.14817681e-01 4.96378819e-01 -8.79171373e-01
9.35241247e-01 9.98783683e-01 6.16588694e-01 -4.17286791e-01
-9.89566927e-01 5.14719101e-01 -4.46334201e-01 -9.74906456e-01
5.70653323e-01 3.58499433e-02 8.58079437e-01 -4.39771753e-01
-6.30445294e-01 -4.62434417e-01 -9.14500314e-01 -9.80208001e-02]]
syn1 = [[ 1.55112719e+01 1.12387389e+02 4.81669781e+01 1.20651512e+02
1.01597811e+02 1.06228256e+02 5.82031937e+01 7.78134508e+01
7.95483453e+01 1.48237402e+01 -1.03852040e+01 6.21325504e+01
-3.58200319e+01 5.32740816e+01 5.67019411e+01 8.81379570e+01
2.03293011e+01 5.64640721e+01 3.32105183e+01 8.58347937e+01
5.09350585e+01 -1.65266521e+01 9.80285815e+00 4.04691231e+01
7.00003772e+01 6.27446100e+01]
[ 1.77926112e+01 1.35412888e+02 6.14348396e+01 1.47116963e+02
1.21211149e+02 1.28361593e+02 7.10746009e+01 8.48981340e+01
1.05092584e+02 2.73690705e+01 5.25999931e+00 7.57044456e+01
-3.30854140e+01 6.91705370e+01 6.78252607e+01 1.16570068e+02
4.30180003e+01 6.82559502e+01 5.54695745e+01 1.02920324e+02
5.48152765e+01 -9.11752966e+00 2.64431107e+01 5.13616026e+01
9.20488487e+01 7.47738002e+01]
[-1.89098772e+01 2.21881742e+00 -1.82486334e-01 1.66163206e+00
1.67816141e+00 7.96646339e+00 -7.96847234e-01 -3.23990004e-01
-3.71225507e+00 -2.87912223e+01 -7.23352617e+01 -3.68729647e-01
7.99126534e+01 -1.64122859e+00 -2.73746165e-01 -1.71556284e+00
-8.70169863e+00 -8.12228058e-01 -9.77080870e+00 1.42377092e+00
6.94060634e-02 -8.95599457e+01 -2.36939887e+01 1.73506868e-01
-5.21677228e+00 -1.85558573e+00]
[ 1.52087689e+01 1.10685075e+02 4.83561430e+01 1.21507714e+02
1.01172400e+02 1.05147273e+02 5.75111603e+01 7.43446390e+01
8.15983231e+01 1.58479310e+01 -8.28511982e+00 5.91737150e+01
-3.37524661e+01 5.38045874e+01 5.57068760e+01 8.86209602e+01
2.39950249e+01 5.44772942e+01 3.52251103e+01 8.59208447e+01
4.89898446e+01 -1.61922201e+01 1.10445224e+01 3.96149623e+01
7.06245616e+01 6.19313941e+01]
[ 1.81158710e+01 1.36424707e+02 6.05928526e+01 1.48189157e+02
1.23287525e+02 1.32428906e+02 7.10624028e+01 9.03019784e+01
1.03489783e+02 2.80293456e+01 1.03146581e+00 8.03479608e+01
-3.63770981e+01 6.99744460e+01 6.91439510e+01 1.15624630e+02
3.91002675e+01 6.96213596e+01 5.35540698e+01 1.02511596e+02
6.04024507e+01 -1.11343772e+01 2.25194034e+01 5.33428817e+01
9.16323340e+01 7.72395220e+01]
[ 1.55446043e+01 1.11952598e+02 4.82811534e+01 1.21453876e+02
1.00832949e+02 1.05501928e+02 5.84701670e+01 7.49837122e+01
8.17444183e+01 1.41563115e+01 -8.52881145e+00 5.94832929e+01
-3.45235120e+01 5.40326677e+01 5.73212815e+01 8.86244807e+01
2.28866804e+01 5.58251960e+01 3.44425187e+01 8.60145527e+01
4.97787243e+01 -1.44354500e+01 1.16600654e+01 3.87383192e+01
7.02042655e+01 6.13279257e+01]
[ 1.86223171e+01 1.37827596e+02 5.99475039e+01 1.48721392e+02
1.24226110e+02 1.33148730e+02 7.25350515e+01 9.05669153e+01
1.01598617e+02 2.61745363e+01 -1.25048419e+00 8.06920006e+01
-3.73206505e+01 6.96662791e+01 6.80040866e+01 1.14573277e+02
3.88508157e+01 7.09760330e+01 5.17315070e+01 1.03264673e+02
6.11186123e+01 -1.42154906e+01 2.17160533e+01 5.43333904e+01
9.00241585e+01 7.86046148e+01]
[ 1.66641778e+01 1.11960419e+02 4.85329018e+01 1.20897964e+02
9.99445027e+01 1.05309280e+02 5.73701004e+01 7.42665513e+01
8.05940964e+01 1.44813049e+01 -9.72550402e+00 6.04353709e+01
-3.34886182e+01 5.42232664e+01 5.58410834e+01 8.89359593e+01
2.32710906e+01 5.50227692e+01 3.39600246e+01 8.63530663e+01
4.94842711e+01 -1.62125748e+01 1.02474321e+01 3.89560323e+01
7.02438430e+01 6.27807381e+01]
[ 1.81207068e+01 1.36309298e+02 5.99590811e+01 1.47913067e+02
1.23300139e+02 1.31157290e+02 7.11838075e+01 8.91784440e+01
1.02003982e+02 2.65932702e+01 1.24918767e+00 7.87455260e+01
-3.35028576e+01 7.01878376e+01 6.81708917e+01 1.15447659e+02
3.99744213e+01 7.07695923e+01 5.38059918e+01 1.03812570e+02
5.86972756e+01 -9.12458588e+00 2.40542917e+01 5.44236401e+01
9.08528951e+01 7.56183167e+01]
[ 1.53141732e+01 1.11941999e+02 4.77207413e+01 1.20571862e+02
1.02060279e+02 1.05557808e+02 5.82677310e+01 7.50542345e+01
8.22023999e+01 1.56498825e+01 -8.34673391e+00 6.13690485e+01
-3.49467201e+01 5.30316789e+01 5.58931181e+01 8.74335493e+01
2.31057837e+01 5.48100921e+01 3.42621805e+01 8.66560968e+01
4.92214722e+01 -1.46231147e+01 1.07356822e+01 3.95328211e+01
7.09126967e+01 6.09669103e+01]
[ 1.75131533e+01 1.35177617e+02 6.02386621e+01 1.47880738e+02
1.23176212e+02 1.30225539e+02 7.05208812e+01 8.78348642e+01
1.04134734e+02 2.79739461e+01 3.12722574e+00 7.56768731e+01
-3.26984753e+01 6.97950911e+01 6.81270754e+01 1.15825574e+02
4.09649805e+01 6.95778365e+01 5.44070727e+01 1.02824369e+02
5.83326809e+01 -7.70992297e+00 2.49783137e+01 5.21516051e+01
9.14506336e+01 7.50818359e+01]
[ 1.68967624e+01 1.13820023e+02 4.81760307e+01 1.21720236e+02
1.01727429e+02 1.07925102e+02 5.93734714e+01 7.69317376e+01
8.01880903e+01 1.25563795e+01 -1.15117675e+01 6.24113416e+01
-3.53121853e+01 5.43354891e+01 5.69002663e+01 8.76698679e+01
2.04172002e+01 5.70646162e+01 3.24599581e+01 8.73893553e+01
5.16010071e+01 -1.53261378e+01 7.44623316e+00 4.18030165e+01
6.99940981e+01 6.33502634e+01]
[ 1.83859661e+01 1.35453180e+02 6.06160633e+01 1.47756335e+02
1.23682781e+02 1.29360949e+02 6.98849363e+01 8.75819449e+01
1.04567007e+02 2.73285602e+01 3.66150976e+00 7.73257238e+01
-3.45917894e+01 6.98157781e+01 6.69885345e+01 1.15897945e+02
4.23743511e+01 6.97468904e+01 5.51370780e+01 1.02694181e+02
5.81584976e+01 -9.87009976e+00 2.41367214e+01 5.37173514e+01
9.11877736e+01 7.49158939e+01]
[ 1.90993811e+01 1.36977204e+02 6.08519445e+01 1.47863228e+02
1.24816227e+02 1.32434827e+02 7.21612148e+01 9.04867319e+01
1.02283054e+02 2.69689242e+01 6.85333047e-01 7.92018132e+01
-3.61035000e+01 6.82787048e+01 6.81964848e+01 1.16267413e+02
3.93524854e+01 7.15881836e+01 5.28648847e+01 1.03197500e+02
6.10234913e+01 -1.12381149e+01 2.23727440e+01 5.43436068e+01
9.03745049e+01 7.78430049e+01]
[ 1.83594100e+01 1.34881533e+02 6.07798826e+01 1.47574431e+02
1.21043963e+02 1.28726614e+02 7.02660463e+01 8.36970658e+01
1.05613894e+02 2.95057590e+01 4.15070850e+00 7.49017075e+01
-3.39517210e+01 7.02614285e+01 6.77881136e+01 1.16286262e+02
4.27236877e+01 6.77126677e+01 5.75098972e+01 1.02046897e+02
5.49039392e+01 -9.56225982e+00 2.54179145e+01 5.09898822e+01
9.13000464e+01 7.46455677e+01]
[ 1.61878584e+01 1.12835955e+02 4.90804779e+01 1.22454509e+02
1.01175560e+02 1.07220372e+02 5.91197344e+01 7.73703270e+01
8.05703005e+01 1.42062800e+01 -9.74589202e+00 6.13728930e+01
-3.51376208e+01 5.41228497e+01 5.67272079e+01 8.85926746e+01
2.19229608e+01 5.58279647e+01 3.28780742e+01 8.66542812e+01
5.07836216e+01 -1.61604182e+01 9.50358114e+00 4.07362930e+01
6.94494650e+01 6.30168550e+01]
[ 1.48946366e+01 1.10092214e+02 4.84230134e+01 1.20523110e+02
1.00003447e+02 1.03417396e+02 5.67773033e+01 7.27292952e+01
8.24862431e+01 1.43113259e+01 -9.29130535e+00 5.87113426e+01
-3.37394486e+01 5.40071107e+01 5.69231353e+01 8.85865581e+01
2.38506267e+01 5.38157452e+01 3.60529512e+01 8.58574758e+01
4.92005455e+01 -1.55410197e+01 1.18351868e+01 4.00757371e+01
6.98734223e+01 6.12588690e+01]
[ 1.71048331e+01 1.27420537e+02 5.65824760e+01 1.40790404e+02
1.15737057e+02 1.21617192e+02 6.53048598e+01 8.05588195e+01
9.95780634e+01 2.52622002e+01 1.36823579e+00 7.21921042e+01
-3.37460724e+01 6.46827611e+01 6.35099807e+01 1.07707031e+02
3.69403480e+01 6.26289907e+01 5.08592219e+01 9.65191911e+01
5.42578601e+01 -1.04648379e+01 2.08331449e+01 4.82984919e+01
8.62452224e+01 6.98547007e+01]
[ 1.48684817e+01 1.11202040e+02 4.83832729e+01 1.20484729e+02
1.00576759e+02 1.04728830e+02 5.72821998e+01 7.28700800e+01
8.26250773e+01 1.49017487e+01 -7.44948289e+00 5.93496073e+01
-3.48716000e+01 5.34537404e+01 5.62233131e+01 8.90749593e+01
2.43076912e+01 5.39285033e+01 3.43803074e+01 8.60604090e+01
4.79325196e+01 -1.57036247e+01 1.17998373e+01 3.89319067e+01
6.97969331e+01 5.99648878e+01]
[ 1.68332411e+01 1.35473870e+02 6.03928441e+01 1.47575144e+02
1.21517740e+02 1.27869422e+02 7.07464536e+01 8.57668908e+01
1.05197576e+02 2.90248134e+01 3.83946868e+00 7.55667342e+01
-3.42226090e+01 6.99947736e+01 6.68625205e+01 1.15073440e+02
4.22162034e+01 6.82773982e+01 5.51957558e+01 1.03389153e+02
5.57364062e+01 -8.30813379e+00 2.49961191e+01 5.19157749e+01
9.23180368e+01 7.36442234e+01]]
syn2 = [[-2.04919180e+00 9.69272681e-01 -2.41385567e-01 -3.66637467e+00
-8.49137204e-01 -7.42832830e+00 2.04989303e+00 -3.14783888e+00
3.84159379e+00 -6.37381441e-01]
[ 7.10005922e-01 -2.74885315e+00 1.48511797e+00 -8.80490851e-02
1.40508656e+00 5.80953629e-01 -3.49121922e-01 6.23827801e-01
1.69092490e+00 1.16721855e+00]
[-6.14153355e-01 -4.61750240e-01 1.33665573e+00 -6.77398311e-01
9.68457005e-01 -1.01825750e-01 1.17424221e+00 -4.32690171e-03
9.29964563e-01 -1.18036891e+00]
[ 1.54657158e+00 -2.41422396e+00 -1.18264457e-01 2.46416563e-01
2.04967661e-01 3.44268283e-02 -2.08325802e+00 1.09780605e+00
1.72271260e+00 1.52486412e+00]
[ 6.14621598e-01 -3.39399648e+00 9.51116995e-01 5.41241270e-01
7.46267603e-01 1.14705082e+00 -4.93462553e-01 1.02516950e+00
1.26408347e+00 -4.31887289e-01]
[ 1.55264256e+00 -3.84944459e+00 -1.17910840e+00 2.61961268e-01
-2.48099886e-01 2.25571795e+00 -2.72146526e+00 1.52470460e+00
5.01741662e+00 1.03539423e+00]
[-1.52219979e+00 -1.40390435e+00 7.09053852e-01 -6.27039716e-01
8.99573381e-01 2.82627548e-01 8.70711444e-01 1.61809792e-01
4.53897365e-01 -1.15140904e+00]
[-5.84161051e-02 -7.27507095e-01 1.67496190e-01 -1.79935722e-01
3.12377085e-01 -4.53721234e-01 8.98969309e-01 -3.26631253e-01
7.13657251e-01 -1.12681378e+00]
[ 5.64223429e-01 -1.24352584e+00 -1.92098142e+00 1.45226859e-01
-1.88284196e-01 -2.79600500e-01 -6.21898146e-01 -7.02274481e-01
-4.37490614e+00 1.07036967e+00]
[ 2.45553493e-01 1.50541601e+00 -2.16912507e+00 -1.58900015e+00
-1.36551221e+00 -3.66538417e+00 -2.98548659e-02 7.71852317e-01
-9.52621511e+00 1.54886728e-02]
[-3.94515148e+00 -4.20583332e+00 -7.00577622e+00 -3.41474814e+00
-5.10536899e+00 -3.86828114e+00 -2.89223424e+00 -3.37955264e+00
-8.78671562e+00 -1.24583793e+00]
[-1.20248210e+00 -8.53535003e-03 1.40809495e+00 -1.60528974e-01
9.34208787e-02 -1.41620270e-01 1.43717354e+00 -4.54004404e-01
9.61089988e-01 -1.20093078e+00]
[-4.40013584e+00 -8.11130382e+00 -5.14946951e+00 -1.93300518e+00
-5.25471741e+00 -3.33788495e+00 -6.79302786e+00 -7.94056363e+00
-7.19189277e+00 -2.13818199e+00]
[-9.47521347e-01 -8.93792027e-01 2.70364866e-01 3.92989861e-02
6.33257500e-01 -6.71215771e-02 -7.82802803e-01 -4.29581771e-01
-2.13653780e+00 4.08474308e-01]
[-7.54850155e-01 -6.43977247e-01 -2.55211954e-01 -5.01329920e-01
1.28514328e+00 3.68264359e-01 -6.12898979e-01 -2.47629210e-01
6.46115592e-01 -8.06453591e-01]
[ 7.75865940e-01 -2.44988120e+00 -3.25183354e+00 3.45741537e-01
-8.45333889e-01 -1.30141580e-01 -2.68005262e+00 2.03306473e+00
-2.17618387e+00 5.13369281e-01]
[-9.83143414e-01 -8.13429765e-01 -2.43489488e+00 -5.75401360e-01
-1.80723789e+00 -2.75845465e+00 -6.62049030e-01 -5.48723960e-01
-2.64280100e+00 9.12504296e-01]
[-3.64623282e-01 -1.84833179e+00 3.15286019e-02 -7.84966375e-01
-3.02995250e-01 3.23416082e-01 2.89867710e-01 5.17832703e-01
6.14871715e-01 -6.35168141e-01]
[-7.06371392e-01 7.68528599e-02 -4.34327169e+00 -5.45471125e-01
-2.03525691e+00 -2.31207902e+00 3.67301807e-02 4.21433674e-01
-1.35192948e+00 -3.90802904e-02]
[-1.59571430e-01 -3.32026916e+00 4.38529697e-01 7.47480435e-02
1.16384132e+00 1.64159366e+00 -2.76863506e+00 1.00348646e+00
7.31549360e-01 -3.07719496e-03]
[-1.26867762e+00 -5.21703702e-01 1.24495701e+00 -2.17718446e-01
1.18670773e+00 3.96463602e-02 7.84896661e-01 -6.99585039e-01
7.48424065e-01 -6.21209748e-01]
[-7.42849329e+00 -8.91533459e+00 -1.00684891e+01 -6.19452733e+00
-7.07252556e+00 -4.81947501e+00 -4.63511588e+00 -8.82548231e+00
-9.33801319e+00 -3.46980432e+00]
[-6.58275734e-01 -3.88699147e-01 -2.85204247e+00 -1.21958168e+00
-7.33270211e-01 -3.12953897e+00 1.06135910e+00 7.86928852e-01
-8.60265570e+00 4.71849624e-01]
[ 4.98938238e-01 -8.87926674e-01 4.51144100e-01 -6.32850337e-01
7.81179575e-01 -9.31640115e-03 1.36218641e+00 1.99898365e-02
1.27753438e+00 -1.06170035e+00]
[-6.50311249e-01 -1.10185034e+00 -1.82242854e+00 -5.85310919e-01
3.26045902e-01 9.07004516e-01 -1.52388721e+00 -3.41418864e-01
-6.17050583e+00 -1.50236833e-01]
[-1.18863122e+00 -1.13373225e+00 -1.57991609e+00 2.97607822e-02
-5.99213888e-01 2.73076712e-01 -6.70658231e-01 5.28422398e-01
4.40776800e-01 -8.20199631e-01]]
b0 = [[-1605.17848776 -1917.98356041 -689.82773387 -1601.74740941
-1936.57915581 -1605.08924872 -1934.53810642 -1600.4377953
-1929.36294279 -1604.50202962 -1925.24927875 -1614.3081382
-1926.17204092 -1937.17158195 -1914.21546031 -1612.18299499
-1596.04117227 -1825.00260982 -1595.98569161 -1917.38022247]]
b1 = [[-1.97785607 -3.17461188 -3.32390325 -3.00471211 -3.37630353 -3.28285982
-3.47582616 -3.27004853 -3.43013569 -3.13713948 -2.49317653 -3.29428498
-2.59368375 -3.62957184 -3.39038048 -3.86221078 -2.52043183 -3.40202391
-2.48401463 -3.70230631 -3.33070731 -2.02362061 -2.93135334 -3.17586792
-3.92266563 -3.49992033]]
b2 = [[-0.06619111 0.50520411 0.20854894 -0.72148372 -0.17292749 -0.12212768
-0.63874199 -0.6896814 0.27061332 -0.82917551]]
| [
"[email protected]"
]
| |
887821cb1d3663aec05aded7090a12fbb0863b88 | d9c95cd0efad0788bf17672f6a4ec3b29cfd2e86 | /disturbance/migrations/0163_apiarysiteonapproval_site_category.py | b2f18b430255810ee5d6bbd518185236c84db914 | [
"Apache-2.0"
]
| permissive | Djandwich/disturbance | cb1d25701b23414cd91e3ac5b0207618cd03a7e5 | b1ba1404b9ca7c941891ea42c00b9ff9bcc41237 | refs/heads/master | 2023-05-05T19:52:36.124923 | 2021-06-03T06:37:53 | 2021-06-03T06:37:53 | 259,816,629 | 1 | 1 | NOASSERTION | 2021-06-03T09:46:46 | 2020-04-29T03:39:33 | Python | UTF-8 | Python | false | false | 592 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.8 on 2020-09-17 04:10
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('disturbance', '0162_auto_20200917_1209'),
]
operations = [
migrations.AddField(
model_name='apiarysiteonapproval',
name='site_category',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='disturbance.SiteCategory'),
),
]
| [
"[email protected]"
]
| |
782f7ad84a757286a8685de5ded3aa137187a6e8 | f042383cbc9f10837ebdb5b9033a0263f6a43698 | /examples/docs_snippets/docs_snippets/intro_tutorial/basics/e04_quality/custom_types_2.py | 70e3912ca669f3083987bf7f01f0b16146f8993a | [
"Apache-2.0"
]
| permissive | helloworld/dagster | 664e6636d68bafa5151418c9d4316a565717f5ee | 779e27faa3e46b7d043cb9624617e655a9ed570c | refs/heads/master | 2022-03-24T12:15:36.626783 | 2022-02-26T01:34:29 | 2022-02-26T01:34:29 | 464,019,094 | 0 | 0 | Apache-2.0 | 2022-03-05T20:23:14 | 2022-02-27T02:38:17 | null | UTF-8 | Python | false | false | 1,116 | py | import requests
from dagster import DagsterType, In, Out, get_dagster_logger, job, op
# start_custom_types_2_marker_0
def is_list_of_dicts(_, value):
return isinstance(value, list) and all(
isinstance(element, dict) for element in value
)
SimpleDataFrame = DagsterType(
name="SimpleDataFrame",
type_check_fn=is_list_of_dicts,
description="A naive representation of a data frame, e.g., as returned by csv.DictReader.",
)
# end_custom_types_2_marker_0
# start_custom_types_2_marker_1
@op(out=Out(SimpleDataFrame))
def bad_download_csv():
response = requests.get("https://docs.dagster.io/assets/cereal.csv")
lines = response.text.split("\n")
get_dagster_logger().info(f"Read {len(lines)} lines")
return ["not_a_dict"]
# end_custom_types_2_marker_1
@op(ins={"cereals": In(SimpleDataFrame)})
def sort_by_calories(cereals):
sorted_cereals = sorted(cereals, key=lambda cereal: cereal["calories"])
get_dagster_logger().info(
f'Most caloric cereal: {sorted_cereals[-1]["name"]}'
)
@job
def custom_type_job():
sort_by_calories(bad_download_csv())
| [
"[email protected]"
]
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.