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fa1dac41f6cdbe45d9bdbb17c56e14fbb16ff4f4 | 4,427 | py | Python | huaweicloud-sdk-gaussdbfornosql/huaweicloudsdkgaussdbfornosql/v3/model/show_backup_policy_result.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-gaussdbfornosql/huaweicloudsdkgaussdbfornosql/v3/model/show_backup_policy_result.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-gaussdbfornosql/huaweicloudsdkgaussdbfornosql/v3/model/show_backup_policy_result.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class ShowBackupPolicyResult:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
sensitive_list = []
openapi_types = {
'keep_days': 'int',
'start_time': 'str',
'period': 'str'
}
attribute_map = {
'keep_days': 'keep_days',
'start_time': 'start_time',
'period': 'period'
}
def __init__(self, keep_days=None, start_time=None, period=None):
"""ShowBackupPolicyResult - a model defined in huaweicloud sdk"""
self._keep_days = None
self._start_time = None
self._period = None
self.discriminator = None
self.keep_days = keep_days
if start_time is not None:
self.start_time = start_time
if period is not None:
self.period = period
@property
def keep_days(self):
"""Gets the keep_days of this ShowBackupPolicyResult.
备份文件可以保存的天数。
:return: The keep_days of this ShowBackupPolicyResult.
:rtype: int
"""
return self._keep_days
@keep_days.setter
def keep_days(self, keep_days):
"""Sets the keep_days of this ShowBackupPolicyResult.
备份文件可以保存的天数。
:param keep_days: The keep_days of this ShowBackupPolicyResult.
:type: int
"""
self._keep_days = keep_days
@property
def start_time(self):
"""Gets the start_time of this ShowBackupPolicyResult.
备份时间段。自动备份将在该时间段内触发。
:return: The start_time of this ShowBackupPolicyResult.
:rtype: str
"""
return self._start_time
@start_time.setter
def start_time(self, start_time):
"""Sets the start_time of this ShowBackupPolicyResult.
备份时间段。自动备份将在该时间段内触发。
:param start_time: The start_time of this ShowBackupPolicyResult.
:type: str
"""
self._start_time = start_time
@property
def period(self):
"""Gets the period of this ShowBackupPolicyResult.
备份周期配置。自动备份将在每星期指定的天进行。
:return: The period of this ShowBackupPolicyResult.
:rtype: str
"""
return self._period
@period.setter
def period(self, period):
"""Sets the period of this ShowBackupPolicyResult.
备份周期配置。自动备份将在每星期指定的天进行。
:param period: The period of this ShowBackupPolicyResult.
:type: str
"""
self._period = period
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
import simplejson as json
if six.PY2:
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
return json.dumps(sanitize_for_serialization(self), ensure_ascii=False)
def __repr__(self):
"""For `print`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ShowBackupPolicyResult):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| 26.35119 | 79 | 0.568782 |
5293ff72d08fd59887c24e467577b8ad7458a42f | 892 | py | Python | it.unibo.raspIntro2022/code/python/sonar.py | TryKatChup/IssLab2022 | ab970d8c7bc7f8519b2e1683cd6bf5ff24511b20 | [
"MIT"
] | 2 | 2022-03-03T20:05:58.000Z | 2022-03-04T23:09:26.000Z | it.unibo.raspIntro2022/code/python/sonar.py | TryKatChup/IssLab2022 | ab970d8c7bc7f8519b2e1683cd6bf5ff24511b20 | [
"MIT"
] | null | null | null | it.unibo.raspIntro2022/code/python/sonar.py | TryKatChup/IssLab2022 | ab970d8c7bc7f8519b2e1683cd6bf5ff24511b20 | [
"MIT"
] | null | null | null | # File: sonar.py
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
TRIG = 17
ECHO = 27
GPIO.setup(TRIG,GPIO.OUT)
GPIO.setup(ECHO,GPIO.IN)
GPIO.output(TRIG, False) #TRIG parte LOW
#print ('Waiting a few seconds for the sensor to settle')
time.sleep(2)
while True:
GPIO.output(TRIG, True) #invia impulsoTRIG
time.sleep(0.00001)
GPIO.output(TRIG, False)
#attendi che ECHO parta e memorizza tempo
while GPIO.input(ECHO)==0:
pulse_start = time.time()
# register the last timestamp at which the receiver detects the signal.
while GPIO.input(ECHO)==1:
pulse_end = time.time()
pulse_duration = pulse_end - pulse_start
distance = pulse_duration * 17165 #distance = vt/2
distance = round(distance, 1)
#print ('Distance:',distance,'cm')
print ( distance, flush=True )
time.sleep(0.25)
#GPIO.cleanup() | 22.871795 | 74 | 0.692825 |
b97060461c043aec5d13a09701eff4daec017216 | 368 | py | Python | dataset/toy_data_cfg.py | M3DV/SimTA | 0bb0caccbb87123e4de0e2dba17555e17e11c85d | [
"Apache-2.0"
] | 11 | 2020-11-08T11:16:53.000Z | 2022-02-20T13:33:07.000Z | dataset/toy_data_cfg.py | M3DV/SimTA | 0bb0caccbb87123e4de0e2dba17555e17e11c85d | [
"Apache-2.0"
] | null | null | null | dataset/toy_data_cfg.py | M3DV/SimTA | 0bb0caccbb87123e4de0e2dba17555e17e11c85d | [
"Apache-2.0"
] | null | null | null | import os
# generating function config
w_min, w_max = -10, 10
b_min, b_max = -10, 10
alpha_min, alpha_max = -2, 2
beta_min, beta_max = -5, 5
num_freq = 10
eps = 0.5
# train/val config
num_total_samples = 10000
duration_per_step = 2
num_pt_per_sample = 10
num_test_pt = 3
val_pct = 0.2
# save path
save_path = os.path.join(os.path.dirname(__file__), "data_pickle")
| 17.52381 | 66 | 0.722826 |
bf7c230db5a235d3e345b33a73b9b96ac52e7e13 | 473 | py | Python | Dataset/Leetcode/train/1/711.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/1/711.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | Dataset/Leetcode/train/1/711.py | kkcookies99/UAST | fff81885aa07901786141a71e5600a08d7cb4868 | [
"MIT"
] | null | null | null | class Solution(object):
def XXX(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
result_nums = []
length = len(nums)
for x in range(length):
for y in range(x+1,length):
if nums[x] + nums[y] == target:
result_nums.append(x)
result_nums.append(y)
return result_nums
| 26.277778 | 47 | 0.443975 |
0317be329ebe5d3a8b758b78f593ba495d9b5e2f | 532 | py | Python | tests/test_base_proforma_calc.py | mgrazebrook/excel2py | 02a7022aff05f6529eaabdbada92b346e8b88421 | [
"MIT"
] | null | null | null | tests/test_base_proforma_calc.py | mgrazebrook/excel2py | 02a7022aff05f6529eaabdbada92b346e8b88421 | [
"MIT"
] | 10 | 2020-05-01T00:07:45.000Z | 2020-10-23T21:36:32.000Z | tests/test_base_proforma_calc.py | mgrazebrook/excel2py | 02a7022aff05f6529eaabdbada92b346e8b88421 | [
"MIT"
] | null | null | null | from excel2py.base_proforma_calc import BaseProformaCalc
import unittest
class Sub(BaseProformaCalc):
inputs = {'x'}
class TestBaseProformaCalc(unittest.TestCase):
def test_good(self):
s = Sub()
s.calculate(x=4)
def test_missing(self):
s = Sub()
with self.assertRaises(TypeError):
s.calculate()
def test_extra(self):
s = Sub()
with self.assertRaises(TypeError):
s.calculate(x=5, y=3, z=4)
if __name__ == "__main__":
unittest.main()
| 19.703704 | 56 | 0.616541 |
dd19eec4bc83fba49a6c170076181d91e2c0c9db | 1,202 | py | Python | fastats/linear_algebra/qr.py | AaronCritchley/fastats | 3c8e50fffc08ee0dd44c615f4ed93adc47c08ffe | [
"MIT"
] | 26 | 2017-07-17T09:19:53.000Z | 2021-11-30T01:36:56.000Z | fastats/linear_algebra/qr.py | AaronCritchley/fastats | 3c8e50fffc08ee0dd44c615f4ed93adc47c08ffe | [
"MIT"
] | 320 | 2017-09-02T16:26:25.000Z | 2021-07-28T05:19:49.000Z | fastats/linear_algebra/qr.py | AaronCritchley/fastats | 3c8e50fffc08ee0dd44c615f4ed93adc47c08ffe | [
"MIT"
] | 13 | 2017-07-06T19:02:29.000Z | 2020-01-22T11:36:34.000Z |
import numpy as np
def qr_classical_gram_schmidt(A):
"""
Returns the QR decomposition of matrix A using
the modified Gram-Schmidt method.
"""
A = A.copy().astype(np.float64)
n = A.shape[1]
Q = np.zeros_like(A, dtype=np.float64)
R = np.zeros(shape=(n, n), dtype=np.float64)
for j in range(n):
v = A[:, j]
for i in range(j):
R[i, j] = Q[:, i] @ A[:, j]
v = v - (R[i, j] * Q[:, i])
R[j, j] = (v.T @ v) ** 0.5
Q[:, j] = v / R[j, j]
return Q, R
def qr(A):
"""
Returns the QR decomposition of matrix A using
the modified Gram-Schmidt method (single matrix
projection rather than sequence of vector
projections).
Exhibits superior numerical stability versus
classical method.
"""
V = A.copy().astype(np.float64)
n = A.shape[1]
Q = np.zeros_like(A, dtype=np.float64)
R = np.zeros(shape=(n, n), dtype=np.float64)
for i in range(n):
v = V[:, i]
R[i, i] = (v.T @ v) ** 0.5
Q[:, i] = v / R[i, i]
for j in range(i, n):
R[i, j] = Q[:, i] @ V[:, j]
V[:, j] = V[:, j] - R[i, j] * Q[:, i]
return Q, R
| 24.04 | 51 | 0.498336 |
62742308f42a21188d30deb885a31c6ad5d00fbb | 1,445 | py | Python | var/spack/repos/builtin/packages/damask-mesh/package.py | pbrady/spack | 91fc4cf28fa7145e1f855f8c03f30574a550308f | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 348 | 2015-12-30T04:05:54.000Z | 2022-02-21T10:57:53.000Z | var/spack/repos/builtin/packages/damask-mesh/package.py | pbrady/spack | 91fc4cf28fa7145e1f855f8c03f30574a550308f | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 3,994 | 2015-12-09T09:43:00.000Z | 2017-11-04T02:46:39.000Z | var/spack/repos/builtin/packages/damask-mesh/package.py | flatironinstitute/spack | 71a7b1b5fadbe16bcdb36fb679aa828cd7d83b02 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 359 | 2015-12-16T18:25:55.000Z | 2017-11-02T14:51:13.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
class DamaskMesh(CMakePackage):
"""Mesh solver for DAMASK"""
homepage = "https://damask.mpie.de"
url = "https://damask.mpie.de/download/damask-3.0.0.tar.xz"
maintainers = ['MarDiehl']
version('3.0.0-alpha4', sha256='0bb8bde43b27d852b1fb6e359a7157354544557ad83d87987b03f5d629ce5493')
version('3.0.0-alpha5', sha256='2d2b10901959c26a5bb5c52327cdafc7943bc1b36b77b515b0371221703249ae')
depends_on('pkgconfig', type='build')
depends_on('cmake@3.10:', type='build')
depends_on('petsc+mpi+hdf5')
depends_on('petsc@3.14.0:3.14,3.15.1:3.15', when='@3.0.0-alpha4')
depends_on('petsc@3.14.0:3.14,3.15.1:3.16', when='@3.0.0-alpha5')
depends_on('hdf5@1.10:+mpi+fortran')
patch('CMakeDebugRelease.patch', when='@3.0.0-alpha4')
variant('build_type', default='DebugRelease',
description='The build type to build',
values=('Debug', 'Release', 'DebugRelease'))
def cmake_args(self):
return [self.define('DAMASK_SOLVER', 'mesh')]
@run_after('install')
@on_package_attributes(run_tests=True)
def execute(self):
with working_dir(self.build_directory):
damask_mesh = Executable('src/DAMASK_mesh')
damask_mesh('--help')
| 36.125 | 102 | 0.678201 |
9465dcdf4f73306f228c231a466be4f8a1d8f738 | 3,543 | py | Python | amazon_paapi/sdk/models/items_result.py | frenners/python-amazon-paapi | 9cb744bef17f5127231367430191df12126e9c24 | [
"MIT"
] | 121 | 2020-03-07T06:56:56.000Z | 2022-03-30T21:03:43.000Z | amazon_paapi/sdk/models/items_result.py | frenners/python-amazon-paapi | 9cb744bef17f5127231367430191df12126e9c24 | [
"MIT"
] | 61 | 2020-03-03T11:03:58.000Z | 2022-01-20T19:27:49.000Z | amazon_paapi/sdk/models/items_result.py | frenners/python-amazon-paapi | 9cb744bef17f5127231367430191df12126e9c24 | [
"MIT"
] | 29 | 2020-03-04T18:08:22.000Z | 2022-03-25T18:49:46.000Z | # coding: utf-8
"""
Copyright 2020 Amazon.com, Inc. or its affiliates. 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.
A copy of the License is located at
http://www.apache.org/licenses/LICENSE-2.0
or in the "license" file accompanying this file. This file 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.
"""
"""
ProductAdvertisingAPI
https://webservices.amazon.com/paapi5/documentation/index.html # noqa: E501
"""
import pprint
import re # noqa: F401
import six
from .item import Item # noqa: F401,E501
class ItemsResult(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'items': 'list[Item]'
}
attribute_map = {
'items': 'Items'
}
def __init__(self, items=None): # noqa: E501
"""ItemsResult - a model defined in Swagger""" # noqa: E501
self._items = None
self.discriminator = None
if items is not None:
self.items = items
@property
def items(self):
"""Gets the items of this ItemsResult. # noqa: E501
:return: The items of this ItemsResult. # noqa: E501
:rtype: list[Item]
"""
return self._items
@items.setter
def items(self, items):
"""Sets the items of this ItemsResult.
:param items: The items of this ItemsResult. # noqa: E501
:type: list[Item]
"""
self._items = items
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
if issubclass(ItemsResult, dict):
for key, value in self.items():
result[key] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ItemsResult):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other
| 27.253846 | 80 | 0.576912 |
3961ee8c5cd168f314ac11d8f4c3c4875ab13b92 | 2,037 | py | Python | hackerrank/contests/accel/balanced_string.py | spradeepv/dive-into-python | ec27d4686b7b007d21f9ba4f85d042be31ee2639 | [
"MIT"
] | null | null | null | hackerrank/contests/accel/balanced_string.py | spradeepv/dive-into-python | ec27d4686b7b007d21f9ba4f85d042be31ee2639 | [
"MIT"
] | null | null | null | hackerrank/contests/accel/balanced_string.py | spradeepv/dive-into-python | ec27d4686b7b007d21f9ba4f85d042be31ee2639 | [
"MIT"
] | null | null | null | """
A balanced string is a string having the following properties:
Both the left and right halves contain the same characters.
Both the left and right halves contain unique characters.
For example, abbaabba is balanced because the left half (abab) and the right
half (baba) both contain the same unique characters.
Xavier has NN unique characters in unlimited supply and wants to use them to
make balanced strings. Help him determine PP, the number of possible
balanced strings of length NN.
Input Format
The first line contains an integer, TT, the number of test cases.
The TT subsequent lines each contain a single integer, NN, the number of
characters Xavier can use to form his balanced strings for that test case.
Constraints
N will always be evenN will always be even
Xavier's balanced strings must be of length NXavier's balanced strings must
be of length N
Output Format
For each test case, print the result of P % (109+7)P % (109+7) on a new line.
Constraints
1<=T<=100000
2<=N<=10^6
Sample Input
1
2
Sample Output
2
Explanation
N=2
Xavier has two characters we'll refer to as 1 and 2. He must use these
characters to form balanced strings of length 22. The possible strings are
"11", "12", "21", and "22". Of those 44 strings, only 22 are
balanced (i.e.: "11" and "22"), so we print the result of 2 % (10^9+7)2 on a
new line.
Editorial
---------
N is even number so to make string balance right half and left half both
having N/2 characters should contains equal and same set of characters.
For right half Xrange have N unique characters so there will be N*(N-1)*(
N-2)*......(N/2+1) possible strings that can be
formed with N unique characters.
For each right half string there will be (N/2)! possible left half
strings. So the answer will be N*(N-1)*(N-2)*....(N/2+1)*((N/2)!) that will
be equal to N!
"""
mod = int(1e9) + 7
fact = [1, 1]
def facto():
for i in range(2, 1000001):
fact.append((fact[-1]*i) % mod)
facto()
for _ in range(int(raw_input())):
n = int(raw_input())
print fact[n]
| 29.1 | 77 | 0.726559 |
e11865b830843d66420ccc130c3af4f21fb9793d | 138 | py | Python | numpy/mathFunction/numpyMathArithmetic.py | slowy07/pythonApps | 22f9766291dbccd8185035745950c5ee4ebd6a3e | [
"MIT"
] | 10 | 2020-10-09T11:05:18.000Z | 2022-02-13T03:22:10.000Z | numpy/mathFunction/numpyMathArithmetic.py | khairanabila/pythonApps | f90b8823f939b98f7bf1dea7ed35fe6e22e2f730 | [
"MIT"
] | null | null | null | numpy/mathFunction/numpyMathArithmetic.py | khairanabila/pythonApps | f90b8823f939b98f7bf1dea7ed35fe6e22e2f730 | [
"MIT"
] | 6 | 2020-11-26T12:49:43.000Z | 2022-03-06T06:46:43.000Z | import numpy as np
in_num = 2.0
print ("Input number : ", in_num)
out_num = np.reciprocal(in_num)
print ("Output number : ", out_num) | 19.714286 | 35 | 0.681159 |
54d5fe1a81630b6cc431990ebfbbb38263a576d9 | 7,301 | py | Python | tests/test_base_table/test_gen_table.py | mgedmin/terminaltables | ad8f46e50afdbaea377fc1f713bc0e7a31c4fccc | [
"MIT"
] | 742 | 2015-01-03T21:46:14.000Z | 2022-03-27T05:49:32.000Z | tests/test_base_table/test_gen_table.py | mgedmin/terminaltables | ad8f46e50afdbaea377fc1f713bc0e7a31c4fccc | [
"MIT"
] | 64 | 2015-01-06T01:34:12.000Z | 2020-05-07T21:52:11.000Z | tests/test_base_table/test_gen_table.py | mgedmin/terminaltables | ad8f46e50afdbaea377fc1f713bc0e7a31c4fccc | [
"MIT"
] | 96 | 2015-02-26T16:42:42.000Z | 2022-02-06T14:00:24.000Z | """Test method in BaseTable class."""
import pytest
from terminaltables.base_table import BaseTable
from terminaltables.build import flatten
from terminaltables.width_and_alignment import max_dimensions
@pytest.mark.parametrize('inner_heading_row_border', [True, False])
@pytest.mark.parametrize('inner_footing_row_border', [True, False])
@pytest.mark.parametrize('inner_row_border', [True, False])
def test_inner_row_borders(inner_heading_row_border, inner_footing_row_border, inner_row_border):
"""Test heading/footing/row borders.
:param bool inner_heading_row_border: Passed to table.
:param bool inner_footing_row_border: Passed to table.
:param bool inner_row_border: Passed to table.
"""
table_data = [
['Name', 'Color', 'Type'],
['Avocado', 'green', 'nut'],
['Tomato', 'red', 'fruit'],
['Lettuce', 'green', 'vegetable'],
]
table = BaseTable(table_data)
table.inner_heading_row_border = inner_heading_row_border
table.inner_footing_row_border = inner_footing_row_border
table.inner_row_border = inner_row_border
inner_widths, inner_heights, outer_widths = max_dimensions(table_data, table.padding_left, table.padding_right)[:3]
actual = flatten(table.gen_table(inner_widths, inner_heights, outer_widths))
# Determine expected.
if inner_row_border:
expected = (
'+---------+-------+-----------+\n'
'| Name | Color | Type |\n'
'+---------+-------+-----------+\n'
'| Avocado | green | nut |\n'
'+---------+-------+-----------+\n'
'| Tomato | red | fruit |\n'
'+---------+-------+-----------+\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
elif inner_heading_row_border and inner_footing_row_border:
expected = (
'+---------+-------+-----------+\n'
'| Name | Color | Type |\n'
'+---------+-------+-----------+\n'
'| Avocado | green | nut |\n'
'| Tomato | red | fruit |\n'
'+---------+-------+-----------+\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
elif inner_heading_row_border:
expected = (
'+---------+-------+-----------+\n'
'| Name | Color | Type |\n'
'+---------+-------+-----------+\n'
'| Avocado | green | nut |\n'
'| Tomato | red | fruit |\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
elif inner_footing_row_border:
expected = (
'+---------+-------+-----------+\n'
'| Name | Color | Type |\n'
'| Avocado | green | nut |\n'
'| Tomato | red | fruit |\n'
'+---------+-------+-----------+\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
else:
expected = (
'+---------+-------+-----------+\n'
'| Name | Color | Type |\n'
'| Avocado | green | nut |\n'
'| Tomato | red | fruit |\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
assert actual == expected
@pytest.mark.parametrize('outer_border', [True, False])
def test_outer_borders(outer_border):
"""Test left/right/top/bottom table borders.
:param bool outer_border: Passed to table.
"""
table_data = [
['Name', 'Color', 'Type'],
['Avocado', 'green', 'nut'],
['Tomato', 'red', 'fruit'],
['Lettuce', 'green', 'vegetable'],
]
table = BaseTable(table_data, 'Example Table')
table.outer_border = outer_border
inner_widths, inner_heights, outer_widths = max_dimensions(table_data, table.padding_left, table.padding_right)[:3]
actual = flatten(table.gen_table(inner_widths, inner_heights, outer_widths))
# Determine expected.
if outer_border:
expected = (
'+Example Table----+-----------+\n'
'| Name | Color | Type |\n'
'+---------+-------+-----------+\n'
'| Avocado | green | nut |\n'
'| Tomato | red | fruit |\n'
'| Lettuce | green | vegetable |\n'
'+---------+-------+-----------+'
)
else:
expected = (
' Name | Color | Type \n'
'---------+-------+-----------\n'
' Avocado | green | nut \n'
' Tomato | red | fruit \n'
' Lettuce | green | vegetable '
)
assert actual == expected
@pytest.mark.parametrize('mode', ['row', 'one', 'blank', 'empty', 'none'])
@pytest.mark.parametrize('bare', [False, True])
def test_one_no_rows(mode, bare):
"""Test with one or no rows.
:param str mode: Type of table contents to test.
:param bool bare: Disable padding/borders.
"""
if mode == 'row':
table_data = [
['Avocado', 'green', 'nut'],
]
elif mode == 'one':
table_data = [
['Avocado'],
]
elif mode == 'blank':
table_data = [
[''],
]
elif mode == 'empty':
table_data = [
[],
]
else:
table_data = [
]
table = BaseTable(table_data)
if bare:
table.inner_column_border = False
table.inner_footing_row_border = False
table.inner_heading_row_border = False
table.inner_row_border = False
table.outer_border = False
table.padding_left = 0
table.padding_right = 0
inner_widths, inner_heights, outer_widths = max_dimensions(table_data, table.padding_left, table.padding_right)[:3]
actual = flatten(table.gen_table(inner_widths, inner_heights, outer_widths))
# Determine expected.
if mode == 'row':
if bare:
expected = (
'Avocadogreennut'
)
else:
expected = (
'+---------+-------+-----+\n'
'| Avocado | green | nut |\n'
'+---------+-------+-----+'
)
elif mode == 'one':
if bare:
expected = (
'Avocado'
)
else:
expected = (
'+---------+\n'
'| Avocado |\n'
'+---------+'
)
elif mode == 'blank': # Remember there's still padding.
if bare:
expected = (
''
)
else:
expected = (
'+--+\n'
'| |\n'
'+--+'
)
elif mode == 'empty':
if bare:
expected = (
''
)
else:
expected = (
'++\n'
'||\n'
'++'
)
else:
if bare:
expected = (
''
)
else:
expected = (
'++\n'
'++'
)
assert actual == expected
| 32.30531 | 119 | 0.435694 |
dcd6d7e490ea5a9fe241c79175e9340e9125f880 | 3,134 | py | Python | examples/commandline/restore_branin.py | TheVinhLuong102/AutoML-SMAC3 | d4cb7ed76e0fbdd9edf6ab5360ff75de67ac2195 | [
"BSD-3-Clause"
] | 711 | 2016-08-22T14:23:29.000Z | 2022-03-29T21:56:12.000Z | examples/commandline/restore_branin.py | TheVinhLuong102/AutoML-SMAC3 | d4cb7ed76e0fbdd9edf6ab5360ff75de67ac2195 | [
"BSD-3-Clause"
] | 770 | 2016-08-17T14:39:07.000Z | 2022-03-31T11:35:58.000Z | examples/commandline/restore_branin.py | TheVinhLuong102/AutoML-SMAC3 | d4cb7ed76e0fbdd9edf6ab5360ff75de67ac2195 | [
"BSD-3-Clause"
] | 210 | 2016-08-20T15:14:29.000Z | 2022-03-30T08:04:34.000Z | """
Restore Branin
^^^^^^^^^^^^^^
This file runs SMAC and then restores the branin run with an extended computation
budget. This will also work for SMAC runs that have crashed and are continued.
"""
import logging
logging.basicConfig(level=logging.INFO)
import os
from smac.facade.smac_ac_facade import SMAC4AC
from smac.runhistory.runhistory import RunHistory
from smac.scenario.scenario import Scenario
from smac.stats.stats import Stats
from smac.utils.io.traj_logging import TrajLogger
__copyright__ = "Copyright 2021, AutoML.org Freiburg-Hannover"
__license__ = "3-clause BSD"
if "__main__" == __name__:
# Initialize scenario, using runcount_limit as budget.
origiginal_scenario_dict = {
'algo': 'python branin.py',
'paramfile': 'branin/configspace.pcs',
'run_obj': 'quality',
'runcount_limit': 25,
'deterministic': True,
'output_dir': 'restore_me'}
original_scenario = Scenario(origiginal_scenario_dict)
smac = SMAC4AC(scenario=original_scenario, run_id=1)
smac.optimize()
print("\nBudget exhausted! Starting restoring optimization ...\n")
# Now the output is in the folder 'restore_me/run_1' (or whatever run_id has
# been passed to the SMAC-object above)
old_output_dir = os.path.join(original_scenario.output_dir, 'run_1')
# We could simply modify the scenario-object, stored in
# 'smac.solver.scenario' and start optimization again:
# smac.solver.scenario.ta_run_limit = 50
# smac.optimize()
# Or, to show the whole process of recovering a SMAC-run from the output
# directory, create a new scenario with an extended budget:
new_scenario = Scenario(
origiginal_scenario_dict,
cmd_options={'runcount_limit': 50, # overwrite these args
'output_dir': 'restored'})
# We load the runhistory
rh_path = os.path.join(old_output_dir, "runhistory.json")
runhistory = RunHistory()
runhistory.load_json(rh_path, new_scenario.cs)
# And the stats
stats_path = os.path.join(old_output_dir, "stats.json")
stats = Stats(new_scenario)
stats.load(stats_path)
# And the trajectory
traj_path = os.path.join(old_output_dir, "traj_aclib2.json")
trajectory = TrajLogger.read_traj_aclib_format(
fn=traj_path,
cs=new_scenario.cs)
incumbent = trajectory[-1]["incumbent"]
# Now we can initialize SMAC with the recovered objects and restore the
# state where we left off. By providing stats and a restore_incumbent, SMAC
# automatically detects the intention of restoring a state.
smac = SMAC4AC(scenario=new_scenario,
runhistory=runhistory,
stats=stats,
restore_incumbent=incumbent,
run_id=1)
# Because we changed the output_dir, we might want to copy the old
# trajectory-file (runhistory and stats will be complete, but trajectory is
# written sequentially)
# new_traj_path = os.path.join(new_scenario.output_dir, "run_1", "traj_aclib2.json")
# shutil.copy(traj_path, new_traj_path)
smac.optimize()
| 34.065217 | 88 | 0.699107 |
9e8ee8a96caa10c4732c44ea979c0c4fcb3ea1e6 | 12,524 | py | Python | perimeterx/px_context.py | PerimeterX/perimeterx-python-ws | 945a8741dc916568b16e8abc889aac3e02f50f4f | [
"MIT"
] | 14 | 2016-09-29T08:08:05.000Z | 2022-01-12T00:53:50.000Z | perimeterx/px_context.py | PerimeterX/perimeterx-python-ws | 945a8741dc916568b16e8abc889aac3e02f50f4f | [
"MIT"
] | 8 | 2016-09-29T08:57:42.000Z | 2021-03-17T11:56:52.000Z | perimeterx/px_context.py | PerimeterX/perimeterx-python-ws | 945a8741dc916568b16e8abc889aac3e02f50f4f | [
"MIT"
] | 4 | 2016-12-01T10:17:04.000Z | 2019-04-21T09:57:02.000Z | from requests.structures import CaseInsensitiveDict
from px_constants import *
from px_data_enrichment_cookie import PxDataEnrichmentCookie
class PxContext(object):
def __init__(self, request, config):
logger = config.logger
# Default values
px_cookies = {}
request_cookie_names = []
cookie_origin = "cookie"
vid = ''
enforcer_vid_source = ''
pxhd = ''
data_enrichment = PxDataEnrichmentCookie(config)
if not hasattr(request, 'headers'):
request_headers = {}
else:
request_headers = request.headers
headers = generate_context_headers(request_headers, config.sensitive_headers)
original_token = ''
mobile_header = headers.get(MOBILE_SDK_HEADER)
if mobile_header is None:
cookies = request.cookies
for cookie_key in cookies:
cookie_value = cookies[cookie_key]
request_cookie_names.append(cookie_key)
if cookie_key == PREFIX_PX_COOKIE_V1 or cookie_key == PREFIX_PX_COOKIE_V3:
logger.debug('Found cookie prefix:' + cookie_key)
px_cookies[cookie_key] = cookie_value
elif cookie_key == PREFIX_PX_DATA_ENRICHMENT:
data_enrichment.from_raw_cookie(cookie_value)
elif cookie_key == PREFIX_PXVID or cookie_key == "_" + PREFIX_PXVID :
vid = cookie_value
enforcer_vid_source = 'vid_cookie'
elif cookie_key == PREFIX_PXHD:
pxhd = cookie_value
else:
cookie_origin = "header"
original_token = headers.get(MOBILE_SDK_ORIGINAL_HEADER)
logger.debug('Mobile SDK token detected')
cookie_name, cookie = self.get_token_object(config, mobile_header)
px_cookies[cookie_name] = cookie
user_agent = request.user_agent.string
uri = request.path
full_url = request.url
hostname = request.host
sensitive_route = len(
filter(lambda sensitive_route_item: uri.startswith(sensitive_route_item), config.sensitive_routes)) > 0
whitelist_route = len(
filter(lambda whitelist_route_item: uri.startswith(whitelist_route_item), config.whitelist_routes)) > 0
enforced_route = len(
filter(lambda enforced_route_item: uri.startswith(enforced_route_item), config.enforced_specific_routes)) > 0
protocol_split = request.environ.get('SERVER_PROTOCOL', '').split('/')
if protocol_split[0].startswith('HTTP'):
self._http_protocol = protocol_split[0].lower() + '://'
if len(protocol_split) > 1:
self._http_version = protocol_split[1]
self._headers = headers
self._http_method = request.environ.get('REQUEST_METHOD')
self._user_agent = user_agent
self._full_url = full_url
self._uri = uri
self._hostname = hostname
self._px_cookies = px_cookies
self._cookie_names = request_cookie_names
self._risk_rtt = 0
self._ip = self.extract_ip(config, request)
self._vid = vid
self._pxhd = pxhd
self._response_pxhd = ''
self._enforcer_vid_source = enforcer_vid_source
self._uuid = ''
self._query_params = request.query_string
self._sensitive_route = sensitive_route
self._whitelist_route = whitelist_route
self._enforced_route = enforced_route
self._s2s_call_reason = 'none'
self._cookie_origin = cookie_origin
self._is_mobile = cookie_origin == "header"
self._score = -1
self._block_reason = ''
self._decoded_cookie = ''
self._block_action = ''
self._block_action_data = ''
self._pass_reason = 'cookie'
self._cookie_hmac = ''
self._px_cookie_raw = ''
self._original_token_error = ''
self._original_uuid = ''
self._decoded_original_token = ''
self._original_token = original_token
self._pxde = data_enrichment.payload if data_enrichment else ''
self._pxde_verified = data_enrichment.is_valid if data_enrichment else False
logger.debug('Request context created successfully')
def get_token_object(self, config, token):
logger = config.logger
sliced_token = token.split(":", 1)
if len(sliced_token) > 1:
key = sliced_token.pop(0)
if key == PREFIX_PX_TOKEN_V1 or key == PREFIX_PX_TOKEN_V3:
logger.debug('Found token prefix: {}'.format(key))
return key, sliced_token[0]
return PREFIX_PX_TOKEN_V3, token
def extract_ip(self, config, request):
request_headers = request.headers
ip = request_headers.get('X-FORWARDED-FOR') if request_headers.get('X-FORWARDED-FOR') else request.remote_addr
ip_headers = config.ip_headers
logger = config.logger
if ip_headers:
try:
for ip_header in ip_headers:
if request_headers.get(ip_header):
return request_headers.get(ip_header)
except:
logger.debug('Failed to use IP_HEADERS from config')
if config.get_user_ip:
ip = config.get_user_ip
return ip
@property
def enforced_route(self):
return self._enforced_route
@enforced_route.setter
def enforced_route(self, enforced_route):
self._enforced_route = enforced_route
@property
def headers(self):
return self._headers
@headers.setter
def headers(self, headers):
self._headers = headers
@property
def http_method(self):
return self._http_method
@http_method.setter
def http_method(self, http_method):
self._http_method = http_method
@property
def http_version(self):
return self._http_version
@http_version.setter
def http_version(self, http_version):
self._http_version = http_version
@property
def http_protocol(self):
return self._http_protocol
@http_protocol.setter
def http_protocol(self, http_protocol):
self._http_protocol = http_protocol
@property
def user_agent(self):
return self._user_agent
@user_agent.setter
def user_agent(self, user_agent):
self._user_agent = user_agent
@property
def full_url(self):
return self._full_url
@full_url.setter
def full_url(self, full_url):
self._full_url = full_url
@property
def uri(self):
return self._uri
@uri.setter
def uri(self, uri):
self._uri = uri
@property
def hostname(self):
return self._hostname
@hostname.setter
def hostname(self, hostname):
self._hostname = hostname
@property
def px_cookies(self):
return self._px_cookies
@px_cookies.setter
def px_cookies(self, px_cookies):
self._px_cookies = px_cookies
@property
def cookie_names(self):
return self._cookie_names
@cookie_names.setter
def cookie_names(self, cookie_names):
self._cookie_names = cookie_names
@property
def risk_rtt(self):
return self._risk_rtt
@risk_rtt.setter
def risk_rtt(self, risk_rtt):
self._risk_rtt = risk_rtt
@property
def ip(self):
return self._ip
@ip.setter
def ip(self, ip):
self._ip = ip
@property
def vid(self):
return self._vid
@vid.setter
def vid(self, vid):
self._vid = vid
@property
def query_params(self):
return self._query_params
@query_params.setter
def query_params(self, query_params):
self._query_params = query_params
@property
def sensitive_route(self):
return self._sensitive_route
@sensitive_route.setter
def sensitive_route(self, sensitive_route):
self._sensitive_route = sensitive_route
@property
def whitelist_route(self):
return self._whitelist_route
@whitelist_route.setter
def whitelist_route(self, whitelist_route):
self._whitelist_route = whitelist_route
@property
def s2s_call_reason(self):
return self._s2s_call_reason
@s2s_call_reason.setter
def s2s_call_reason(self, s2s_call_reason):
self._s2s_call_reason = s2s_call_reason
@property
def cookie_origin(self):
return self._cookie_origin
@cookie_origin.setter
def cookie_origin(self, cookie_origin):
self._cookie_origin = cookie_origin
@property
def original_token(self):
return self._original_token
@original_token.setter
def original_token(self, original_token):
self._original_token = original_token
@property
def is_mobile(self):
return self._is_mobile
@is_mobile.setter
def is_mobile(self, is_mobile):
self._is_mobile = is_mobile
@property
def score(self):
return self._score
@score.setter
def score(self, score):
self._score = score
@property
def uuid(self):
return self._uuid
@uuid.setter
def uuid(self, uuid):
self._uuid = uuid
@property
def block_reason(self):
return self._block_reason
@block_reason.setter
def block_reason(self, block_reason):
self._block_reason = block_reason
@property
def decoded_cookie(self):
return self._decoded_cookie
@decoded_cookie.setter
def decoded_cookie(self, decoded_cookie):
self._decoded_cookie = decoded_cookie
@property
def block_action(self):
return self._block_action
@block_action.setter
def block_action(self, block_action):
self._block_action = block_action
@property
def block_action_data(self):
return self._block_action_data
@block_action_data.setter
def block_action_data(self, block_action_data):
self._block_action_data = block_action_data
@property
def pass_reason(self):
return self._pass_reason
@pass_reason.setter
def pass_reason(self, pass_reason):
self._pass_reason = pass_reason
@property
def cookie_hmac(self):
return self._cookie_hmac
@cookie_hmac.setter
def cookie_hmac(self, cookie_hmac):
self._cookie_hmac = cookie_hmac
@property
def px_cookie_raw(self):
return self._px_cookie_raw
@px_cookie_raw.setter
def px_cookie_raw(self, px_cookie_raw):
self._px_cookie_raw = px_cookie_raw
@property
def original_token_error(self):
return self._original_token_error
@original_token_error.setter
def original_token_error(self, original_token_error):
self._original_token_error = original_token_error
@property
def original_uuid(self):
return self._original_uuid
@original_uuid.setter
def original_uuid(self, original_uuid):
self._original_uuid = original_uuid
@property
def decoded_original_token(self):
return self._decoded_original_token
@decoded_original_token.setter
def decoded_original_token(self, decoded_original_token):
self._decoded_original_token = decoded_original_token
@property
def pxde(self):
return self._pxde
@pxde.setter
def pxde(self, pxde):
self._pxde = pxde
@property
def pxde_verified(self):
return self._pxde_verified
@pxde_verified.setter
def pxde_verified(self, pxde_verified):
self._pxde_verified = pxde_verified
@property
def enforcer_vid_source(self):
return self._enforcer_vid_source
@enforcer_vid_source.setter
def enforcer_vid_source(self, enforcer_vid_source):
self._enforcer_vid_source = enforcer_vid_source
@property
def pxhd(self):
return self._pxhd
@pxhd.setter
def pxhd(self, pxhd):
self._pxhd = pxhd
@property
def response_pxhd(self):
return self._response_pxhd
@response_pxhd.setter
def response_pxhd(self, response_pxhd):
self._response_pxhd = response_pxhd
def generate_context_headers(request_headers, sensitive_headers):
headers = CaseInsensitiveDict()
for header_name, header_value in request_headers:
if header_name.lower() not in sensitive_headers:
headers[header_name] = header_value
return headers
| 28.463636 | 121 | 0.655541 |
feb038ea885ed1e2304c558200712a9e21e4f7ba | 2,189 | py | Python | test/test_redshift.py | Nordstrom/nordata | 935b58f5bcdf100a9211db3bbe7d98a332c81158 | [
"Apache-2.0"
] | 5 | 2019-01-08T20:47:23.000Z | 2020-03-26T02:49:54.000Z | test/test_redshift.py | Nordstrom/nordata | 935b58f5bcdf100a9211db3bbe7d98a332c81158 | [
"Apache-2.0"
] | 3 | 2020-02-04T18:52:40.000Z | 2020-03-31T00:54:05.000Z | test/test_redshift.py | Nordstrom/nordata | 935b58f5bcdf100a9211db3bbe7d98a332c81158 | [
"Apache-2.0"
] | 2 | 2021-06-13T22:47:36.000Z | 2022-02-26T12:52:01.000Z | import os
import pytest
from ..nordata import _redshift as rs
os.environ['TEST_CREDS'] = 'host=my_hostname dbname=my_dbname user=my_user password=my_password port=1234'
def test_redshift_get_conn_value_error():
# test whether redshift_get_conn() raises a ValueError when passed a connection str
with pytest.raises(ValueError):
rs.redshift_get_conn(os.environ['TEST_CREDS'])
def test_read_sql_type_error():
# test whether read_sql() raises the proper error
with pytest.raises(TypeError):
rs.read_sql(1)
def test_read_sql_return_type():
# test type returned by read_sql()
assert isinstance(rs.read_sql('test/test.sql'), str)
def test_read_sql_contents():
# test whether contents of str returned by read_sql() are correct
test_str = "select\n col1\n col2\n from\n pretend.first_table\n limit\n 1000;"
assert rs.read_sql('test/test.sql') == test_str
redshift_execute_sql_TypeError_args = [
(1, 'foo', True, True),
('foo', 1, True, True),
(1, 1, True, True),
('foo', 'bar', True, 'True'),
('foo', 'bar', 'True', True),
('foo', 'bar', True, 1),
('foo', 'bar', 1, True),
]
@pytest.mark.parametrize('sql,env_var,return_data,return_dict', redshift_execute_sql_TypeError_args)
def test_redshift_execute_sql_type_error(sql, env_var, return_data, return_dict):
# test whether redshift_execute_sql() raises the proper error
with pytest.raises(TypeError):
rs.redshift_execute_sql(sql=sql, env_var=env_var, return_data=return_data, return_dict=return_dict)
def test_create_creds_dict_type():
# test type returned by _create_creds_dict()
assert isinstance(rs._create_creds_dict(os.environ['TEST_CREDS']), dict)
def test_create_creds_dict_len():
# test length of dict returned by _create_creds_dict()
assert len(rs._create_creds_dict(os.environ['TEST_CREDS'])) == 5
def test_create_creds_dict_keys():
# test whether proper keys are present in dict returned by _create_creds_dict()
keys = ['host', 'dbname', 'user', 'password', 'port']
creds_dict = rs._create_creds_dict(os.environ['TEST_CREDS'])
assert all(key in creds_dict for key in keys)
| 33.676923 | 107 | 0.717679 |
64564e64aa26ba538394a409a69def897ffdc672 | 1,146 | py | Python | app/models/Post.py | mhans003/python-newsapp | 5958bd5fc85df6f254d464895a197cbeef1f1e2c | [
"MIT"
] | null | null | null | app/models/Post.py | mhans003/python-newsapp | 5958bd5fc85df6f254d464895a197cbeef1f1e2c | [
"MIT"
] | null | null | null | app/models/Post.py | mhans003/python-newsapp | 5958bd5fc85df6f254d464895a197cbeef1f1e2c | [
"MIT"
] | 1 | 2021-02-17T16:07:34.000Z | 2021-02-17T16:07:34.000Z | from datetime import datetime
from app.db import Base
from .Vote import Vote
from sqlalchemy import Column, Integer, String, ForeignKey, DateTime, select, func
from sqlalchemy.orm import relationship, column_property
# Use datetime to create created_at and updated_at fields
# Reference post's user via Foreign Key.
# When query is made, return property 'user' populated with user's id and username.
# Create a relationship to comments, and when deleted, cascade down and delete associated comments.
# vote_count will add up this post's votes.
class Post(Base):
__tablename__ = 'posts'
id = Column(Integer, primary_key=True)
title = Column(String(100), nullable=False)
post_url = Column(String(100), nullable=False)
user_id = Column(Integer, ForeignKey('users.id'))
created_at = Column(DateTime, default=datetime.now)
updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)
vote_count = column_property(
select([func.count(Vote.id)]).where(Vote.post_id == id)
)
user = relationship('User')
comments = relationship('Comment', cascade='all,delete')
votes = relationship('Vote', cascade='all,delete') | 44.076923 | 99 | 0.760035 |
52b6433b318cc6b56afec1b246216ff0383a3b5d | 10,240 | py | Python | python_ip_true/LVMvSSGP_model_SV2_IP.py | RomanFoell/-V-SS | 457f35ffd321cdfe9359d1df707fde9a32041c9c | [
"MIT"
] | 4 | 2017-11-03T13:28:50.000Z | 2019-04-02T22:57:49.000Z | python_ip_true/LVMvSSGP_model_SV2_IP.py | RomanFoell/-V-SS | 457f35ffd321cdfe9359d1df707fde9a32041c9c | [
"MIT"
] | null | null | null | python_ip_true/LVMvSSGP_model_SV2_IP.py | RomanFoell/-V-SS | 457f35ffd321cdfe9359d1df707fde9a32041c9c | [
"MIT"
] | 1 | 2019-12-27T05:35:15.000Z | 2019-12-27T05:35:15.000Z | # To speed Theano up, create ram disk: mount -t tmpfs -o size=512m tmpfs /mnt/ramdisk
# Then use flag THEANO_FLAGS='base_compiledir=/mnt/ramdisk' python script.py
import sys; sys.path.insert(0, "../Theano"); sys.path.insert(0, "../../Theano")
import theano; import theano.tensor as T; import theano.sandbox.linalg as sT
import numpy as np
import pickle
print('Theano version: ' + theano.__version__ + ', base compile dir: ' + theano.config.base_compiledir)
theano.config.mode = 'FAST_RUN'
theano.config.optimizer = 'fast_run'
theano.config.exception_verbosity = 'low'
theano.config.reoptimize_unpickled_function = True
class LVMvSSGP:
def __init__(self, Q, D, N, M):
try:
print('Trying to load model...')
with open('model_SV2.save', 'rb') as file_handle:
self.f, self.g = pickle.load(file_handle)
print('Loaded!')
return
except:
print('Failed. Creating a new model...')
print('Setting up variables...')
hyp, S, MU, SIGMA, U, X = T.dmatrices('hyp', 'S', 'MU', 'SIGMA', 'U', 'X')
b = T.dvector('b')
sn = T.dscalar('sn')
sf = T.dscalar('sf')
SIGMA_trf = T.log(1+T.exp(SIGMA))**2
sf_trf, sn_trf, lengthscale_trf, lengthscale_p_trf = T.log(1 + T.exp(sf))**2, T.log(1 + T.exp(sn))**2, T.log(1 + T.exp(hyp[:,0])), T.log(1 + T.exp(hyp[:,1]))
print('Setting up model...')
LL, KL = self.get_model(lengthscale_trf, lengthscale_p_trf, sn_trf, sf_trf, S, MU, SIGMA_trf, U, b, X, Q, D, N, M)
print('Compiling model...')
inputs = {'X': X, 'MU': MU, 'SIGMA': SIGMA, 'S': S, 'U': U, 'b': b, 'hyp': hyp, 'sn': sn, 'sf': sf}
z = 0.0 * sum([T.sum(v) for v in inputs.values()]) # solve a bug with derivative wrt inputs not in the graph
f = {'LL': LL, 'KL': KL}
self.f = {fn: theano.function(list(inputs.values()), fv+z, name=fn, on_unused_input='ignore') for fn,fv in f.items()}
g = {'LL': LL, 'KL': KL}
wrt = {'MU': MU, 'SIGMA': SIGMA, 'S': S, 'U': U, 'b': b, 'hyp': hyp, 'sn': sn, 'sf': sf}
self.g = {vn: {gn: theano.function(list(inputs.values()), T.grad(gv+z, vv), name='d'+gn+'_d'+vn, on_unused_input='ignore') for gn,gv in g.items()} for vn, vv in wrt.items()}
with open('model_SV2.save', 'wb') as file_handle:
print('Saving model...')
sys.setrecursionlimit(100000)
pickle.dump([self.f, self.g], file_handle, protocol=pickle.HIGHEST_PROTOCOL)
def reg_EPhi(self, lengthscale_trf, lengthscale_p_trf, sf_trf, S, MU, SIGMA_trf, U, b, N, M, D):
# lengthscale_trf # Q
# lengthscale_p_trf # Q
# sf_trf # 1
# S # M x Q
# MU # N x Q
# SIGMA_trf # N x Q
# U # M x Q
# b # M
# N # 1
# M # 1
b = T.zeros(T.shape(b))
MU_S = T.zeros(T.shape(S))
SIGMA_S_trf = T.ones(T.shape(S))
inv_SIGMA_trf = SIGMA_trf**-1 # N x Q
MU_S_hat = lengthscale_trf**-1 * MU_S + 2 * np.pi * lengthscale_p_trf**-1 # M x Q
MU_S_hat_U_b = -(MU_S_hat * U).sum(1)[None,:] + b # M x M
big_sum_minus = MU_S_hat_U_b - MU_S_hat_U_b.T # M x M
big_sum_plus = MU_S_hat_U_b + MU_S_hat_U_b.T # M x M
MU_S_hat_minus = MU_S_hat[None,:,:] - MU_S_hat[:,None,:] # M x M x Q
MU_S_hat_plus = MU_S_hat[None,:,:] + MU_S_hat[:,None,:] # M x M x Q
u_EEPhiTPhi = (U[None,:,:] - U[:,None,:])**2 # M x M x Q
b_bold_denomi = SIGMA_S_trf[None,:,:] + SIGMA_S_trf[:,None,:] # M x M x Q
sum_SIGMA_S_U = SIGMA_S_trf * U # M x Q
b_bold = (sum_SIGMA_S_U[None,:,:] + sum_SIGMA_S_U[:,None,:])/b_bold_denomi # M x M x Q
B = (lengthscale_trf**2)[None,None,:]/b_bold_denomi # M x M x Q
inv_B = 1/B # M x M x Q
U_EEPhiTPhi = (lengthscale_trf**2)[None,None,:]*(SIGMA_S_trf[None,:,:]**-1 + SIGMA_S_trf[:,None,:]**-1) # M x M x Q
norm_EEPhiTPhi_U_temp = lengthscale_trf[None,None,:]**2/((SIGMA_S_trf[None,:,:] * SIGMA_S_trf[:,None,:]) * U_EEPhiTPhi)**0.5 # M x M x Q
Z_n_U_EEPhiTPhi = np.exp(-0.5 * (u_EEPhiTPhi/U_EEPhiTPhi).sum(2)) # M x M
inv_B_b_bold = inv_B * b_bold # M x M x Q
inv_SIGMA_trf_MU = inv_SIGMA_trf * MU # N x Q
EPhiTPhi = np.zeros((M,M))
loop = np.int64(-1)
def EPhiTPhi_loop_i(loop, EPhiTPhi, MU, SIGMA_trf, inv_SIGMA_trf, inv_SIGMA_trf_MU, inv_B, b_bold, inv_B_b_bold, B, MU_S_hat_minus, MU_S_hat_plus, big_sum_minus, big_sum_plus, norm_EEPhiTPhi_U_temp):
loop = loop + 1
D_n = (inv_B + inv_SIGMA_trf[loop,:][None,None,:])**-1 # M x M x Q
d_n = D_n * (inv_B_b_bold + inv_SIGMA_trf_MU[loop,:][None,None,:]) # M x M x Q
W = B + SIGMA_trf[loop,:][None,None,:] # M x M x Q
norm_EEPhiTPhi_U_W = (norm_EEPhiTPhi_U_temp/W**0.5).prod(2) # M x M % here we put det(U), det(W), because of numeric issues (prod(2) is huge for huge input-dimensions)
Z_n_W = T.exp(-0.5 * ((b_bold - MU[loop,:][None,None,:])**2 / W).sum(2)) # M x M
EPhiTPhi = EPhiTPhi + Z_n_W * norm_EEPhiTPhi_U_W * (T.exp(-0.5 * (MU_S_hat_minus**2 * D_n).sum(2)) * T.cos((MU_S_hat_minus * d_n).sum(2) + big_sum_minus) + T.exp(-0.5 * (MU_S_hat_plus**2 * D_n).sum(2)) * T.cos((MU_S_hat_plus * d_n).sum(2) + big_sum_plus)) # M x M
return loop, EPhiTPhi
result, _ = theano.scan(EPhiTPhi_loop_i,
outputs_info = [loop, EPhiTPhi],
n_steps = N,
non_sequences = [MU, SIGMA_trf, inv_SIGMA_trf, inv_SIGMA_trf_MU, inv_B, b_bold, inv_B_b_bold, B, MU_S_hat_minus, MU_S_hat_plus, big_sum_minus, big_sum_plus, norm_EEPhiTPhi_U_temp])
EPhiTPhi_out = result[-1][-1] # M x M
reg_EEPhiTPhi = (sf_trf**2/2) * Z_n_U_EEPhiTPhi * EPhiTPhi_out # M x M
return reg_EEPhiTPhi
def get_EPhi(self, lengthscale_trf, lengthscale_p_trf, sf_trf, S, MU, SIGMA_trf, U, b, N, M):
# lengthscale_trf # Q
# lengthscale_p_trf # Q
# sf_trf # 1
# S # M x Q
# MU # N x Q
# SIGMA_trf # N x Q
# U # M x Q
# b # M
# N # 1
# M # 1
S_hat = lengthscale_trf**-1 * S + 2 * np.pi * lengthscale_p_trf**-1 # M x D
decay = T.exp(-0.5 * ((S_hat**2)[None,:, :] * SIGMA_trf[:, None, :]).sum(2)) # N x M x D
cos_w = T.cos((S_hat[None,:, :] * (MU[:, None, :] - U[None, :, :])).sum(2) + b[None,:]) # N x M x D
EPhi = (2 * sf_trf/M)**0.5 * decay * cos_w # N x M
S_hat_U_b = -(S_hat * U).sum(1)[None,:] + b # M x M
big_sum_minus = S_hat_U_b - S_hat_U_b.T # M x M
big_sum_plus = S_hat_U_b + S_hat_U_b.T # M x M
S_hat_minus = S_hat[None,:,:] - S_hat[:,None,:] # M x M x Q
S_hat_plus = S_hat[None,:,:] + S_hat[:,None,:] # M x M x Q
EPhiTPhi = np.zeros((M,M))
loop = np.int64(-1)
def EPhiTPhi_loop(loop, EPhiTPhi, MU, SIGMA_trf, S_hat_minus, S_hat_plus, big_sum_minus, big_sum_plus):
loop = loop + 1
EPhiTPhi = EPhiTPhi + T.exp(-0.5 * (S_hat_minus**2 * SIGMA_trf[loop,:][None, None, :]).sum(2)) * T.cos((S_hat_minus * MU[loop,:][None, None, :]).sum(2) + big_sum_minus) + T.exp(-0.5 * (S_hat_plus**2 * SIGMA_trf[loop,:][None, None, :]).sum(2)) * T.cos((S_hat_plus * MU[loop,:][None, None, :]).sum(2) + big_sum_plus) # M x M
return loop, EPhiTPhi
result, _ = theano.scan(EPhiTPhi_loop,
outputs_info = [loop, EPhiTPhi],
n_steps = N,
non_sequences = [MU, SIGMA_trf, S_hat_minus, S_hat_plus, big_sum_minus, big_sum_plus])
EPhiTPhi_out = result[-1][-1] # M x M
EPhiTPhi = (sf_trf/M) * EPhiTPhi_out # M x M
return EPhi, EPhiTPhi
def kernel_gauss(self, U, lengthscale_trf, lengthscale_p_trf, sf_trf):
X_exp = U * lengthscale_trf**-1 # M x Q
X_cos = U * lengthscale_p_trf**-1 # M x Q
X_exp_product = (X_exp**2).sum(1) # M
dquad = -2 * X_exp.dot(X_exp.T) + (X_exp_product.T)[None,:] + X_exp_product[:,None] # M x M
dsub = (X_cos[None,:,:] - X_cos[:,None,:]).sum(2) # M x M
K = sf_trf * T.exp(-1/2 * dquad) * T.cos(2 * np.pi * dsub) # M x M
return K
def get_opt_A(self, sn_trf, EPhiTPhi, XT_EPhi, K_MM):
cholSigInv = sT.cholesky(EPhiTPhi + (sn_trf + 1e-6) * T.identity_like(K_MM))
cholK_MM = sT.cholesky(K_MM + 1e-6 * T.identity_like(K_MM))
invCholSigInv = sT.matrix_inverse(cholSigInv)
invCholK_MM = sT.matrix_inverse(cholK_MM)
InvSig = invCholSigInv.T.dot(invCholSigInv)
InvK_MM = invCholK_MM.T.dot(invCholK_MM)
Sig_EPhiT_X = InvSig.dot(XT_EPhi.T)
return Sig_EPhiT_X, cholSigInv, cholK_MM, InvK_MM
def get_model(self, lengthscale_trf, lengthscale_p_trf, sn_trf, sf_trf, S, MU, SIGMA_trf, U, b, X, Q, D, N, M):
EPhi, EPhiTPhi = self.get_EPhi(lengthscale_trf, lengthscale_p_trf, sf_trf, S, MU, SIGMA_trf, U, b, N, M)
EPhiTPhi_reg = self.reg_EPhi(lengthscale_trf, lengthscale_p_trf, sf_trf, S, MU, SIGMA_trf, U, b, N, M, D)
K_MM = self.kernel_gauss(U, lengthscale_trf, lengthscale_p_trf, sf_trf)
XT_EPhi = X.T.dot(EPhi)
opt_A_mean, cholSigInv, cholK_MM, InvK_MM = self.get_opt_A(sn_trf, EPhiTPhi, XT_EPhi, K_MM)
LL = - 0.5 * (D * ((N - M) * T.log(sn_trf) + N * np.log(2 * np.pi) + T.sum(2 * T.log(T.diag(cholSigInv))) + (N * sf_trf - T.sum(T.diag(InvK_MM.dot(EPhiTPhi_reg))))/sn_trf) + T.sum(X ** 2)/sn_trf - T.sum(opt_A_mean.T * XT_EPhi)/sn_trf)
KL_X = - 0.5 * (T.log(2 * np.pi * SIGMA_trf) + 1).sum() + 0.5 * (np.log(2 * np.pi)) + 0.5 * (SIGMA_trf + MU**2).sum()
return LL, KL_X
| 53.056995 | 335 | 0.550391 |
1680b7bb9ecdfe88e00723667cba86d577a85bab | 1,900 | py | Python | test_script/combine_json.py | warmchang/sieve | 57c2fa7d773ee344d517794f53730548f574cd3f | [
"BSD-2-Clause"
] | null | null | null | test_script/combine_json.py | warmchang/sieve | 57c2fa7d773ee344d517794f53730548f574cd3f | [
"BSD-2-Clause"
] | null | null | null | test_script/combine_json.py | warmchang/sieve | 57c2fa7d773ee344d517794f53730548f574cd3f | [
"BSD-2-Clause"
] | null | null | null | import glob
import json
import time
import os
import sys
def merge(result, patch):
"""
Recursive function to merge two dict
"""
for key in patch:
if key not in result:
result[key] = patch[key]
else:
if type(patch[key]) is not dict:
print("ERROR: Duplicate config, overwriting")
result[key] = patch[key]
else:
merge(result[key], patch[key])
if __name__ == "__main__":
t = time.localtime()
result_folder = sys.argv[1]
controller = sys.argv[2]
json_names = glob.glob(
os.path.join(result_folder, "sieve_test_results/{}-*.json".format(controller))
)
generated_test_plans = glob.glob(
os.path.join(
result_folder,
"log",
controller,
"*",
"learn/learn-once/learn.yaml",
"*",
"*-test-plan-*.yaml",
)
)
result = {}
result["failed"] = []
for fname in json_names:
with open(fname, "r") as in_json:
patch = json.load(in_json)
merge(result, patch)
for test_plan in generated_test_plans:
tokens = test_plan.split("/")
workload_name = tokens[-6]
expected_name = "{}-{}-{}.json".format(
controller,
workload_name,
os.path.basename(test_plan),
)
# print(test_plan)
# print(expected_name)
found = False
for json_name in json_names:
if json_name.endswith(expected_name):
found = True
if not found:
result["failed"].append(test_plan)
with open(
"test-summary-{}-{}-{}-{}-{}.json".format(
t.tm_year, t.tm_mon, t.tm_mday, t.tm_hour, t.tm_min
),
"w",
) as merged:
json.dump(result, merged, indent=4, sort_keys=True)
| 26.388889 | 86 | 0.525263 |
04f2cd4ee4ba0b9b653e1e5525ea1212aba94378 | 971 | py | Python | daily_menu/daily_menu/urls.py | michalkvacek/at-chutna | bd34deaab62378d4f6598ac497de7a4a8bd41263 | [
"MIT"
] | null | null | null | daily_menu/daily_menu/urls.py | michalkvacek/at-chutna | bd34deaab62378d4f6598ac497de7a4a8bd41263 | [
"MIT"
] | null | null | null | daily_menu/daily_menu/urls.py | michalkvacek/at-chutna | bd34deaab62378d4f6598ac497de7a4a8bd41263 | [
"MIT"
] | null | null | null | """daily_menu URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include
from django.conf import settings
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('api.urls')),
]
if settings.DEBUG:
import debug_toolbar
urlpatterns = [
path('__debug__/', include(debug_toolbar.urls)),
] + urlpatterns
| 32.366667 | 77 | 0.700309 |
4f2c7606ac59d17b9ed07015747a164ff779e630 | 57,626 | py | Python | graph-to-graph/pydot.py | mbrcknl/graph-refine | 78c74f18127db53606f18f775a5a50de86bc6b97 | [
"BSD-2-Clause",
"MIT"
] | 6 | 2017-03-17T17:57:48.000Z | 2019-12-28T13:03:23.000Z | graph-to-graph/pydot.py | myuluo/graph-refine | 8924af0c61c3c863db7957e0ebac7ae1ceefad9d | [
"BSD-2-Clause",
"MIT"
] | 3 | 2020-04-07T09:15:55.000Z | 2022-03-23T01:36:26.000Z | graph-to-graph/pydot.py | myuluo/graph-refine | 8924af0c61c3c863db7957e0ebac7ae1ceefad9d | [
"BSD-2-Clause",
"MIT"
] | 7 | 2020-04-16T00:32:41.000Z | 2022-03-09T05:25:23.000Z | # -*- coding: Latin-1 -*-
#
# SPDX-License-Identifier: MIT
"""Graphviz's dot language Python interface.
This module provides with a full interface to create handle modify
and process graphs in Graphviz's dot language.
References:
pydot Homepage: http://code.google.com/p/pydot/
Graphviz: http://www.graphviz.org/
DOT Language: http://www.graphviz.org/doc/info/lang.html
Programmed and tested with Graphviz 2.26.3 and Python 2.6 on OSX 10.6.4
Copyright (c) 2005-2011 Ero Carrera <ero.carrera@gmail.com>
Distributed under MIT license [http://opensource.org/licenses/mit-license.html].
"""
__revision__ = "$LastChangedRevision: 28 $"
__author__ = 'Ero Carrera'
__version__ = '1.0.%d' % int( __revision__[21:-2] )
__license__ = 'MIT'
import os
import re
import subprocess
import tempfile
import copy
'''
try:
import dot_parser
except Exception, e:
print "Couldn't import dot_parser, loading of dot files will not be possible."
'''
GRAPH_ATTRIBUTES = set( ['Damping', 'K', 'URL', 'aspect', 'bb', 'bgcolor',
'center', 'charset', 'clusterrank', 'colorscheme', 'comment', 'compound',
'concentrate', 'defaultdist', 'dim', 'dimen', 'diredgeconstraints',
'dpi', 'epsilon', 'esep', 'fontcolor', 'fontname', 'fontnames',
'fontpath', 'fontsize', 'id', 'label', 'labeljust', 'labelloc',
'landscape', 'layers', 'layersep', 'layout', 'levels', 'levelsgap',
'lheight', 'lp', 'lwidth', 'margin', 'maxiter', 'mclimit', 'mindist',
'mode', 'model', 'mosek', 'nodesep', 'nojustify', 'normalize', 'nslimit',
'nslimit1', 'ordering', 'orientation', 'outputorder', 'overlap',
'overlap_scaling', 'pack', 'packmode', 'pad', 'page', 'pagedir',
'quadtree', 'quantum', 'rankdir', 'ranksep', 'ratio', 'remincross',
'repulsiveforce', 'resolution', 'root', 'rotate', 'searchsize', 'sep',
'showboxes', 'size', 'smoothing', 'sortv', 'splines', 'start',
'stylesheet', 'target', 'truecolor', 'viewport', 'voro_margin',
# for subgraphs
'rank' ] )
EDGE_ATTRIBUTES = set( ['URL', 'arrowhead', 'arrowsize', 'arrowtail',
'color', 'colorscheme', 'comment', 'constraint', 'decorate', 'dir',
'edgeURL', 'edgehref', 'edgetarget', 'edgetooltip', 'fontcolor',
'fontname', 'fontsize', 'headURL', 'headclip', 'headhref', 'headlabel',
'headport', 'headtarget', 'headtooltip', 'href', 'id', 'label',
'labelURL', 'labelangle', 'labeldistance', 'labelfloat', 'labelfontcolor',
'labelfontname', 'labelfontsize', 'labelhref', 'labeltarget',
'labeltooltip', 'layer', 'len', 'lhead', 'lp', 'ltail', 'minlen',
'nojustify', 'penwidth', 'pos', 'samehead', 'sametail', 'showboxes',
'style', 'tailURL', 'tailclip', 'tailhref', 'taillabel', 'tailport',
'tailtarget', 'tailtooltip', 'target', 'tooltip', 'weight',
'rank' ] )
NODE_ATTRIBUTES = set( ['URL', 'color', 'colorscheme', 'comment',
'distortion', 'fillcolor', 'fixedsize', 'fontcolor', 'fontname',
'fontsize', 'group', 'height', 'id', 'image', 'imagescale', 'label',
'labelloc', 'layer', 'margin', 'nojustify', 'orientation', 'penwidth',
'peripheries', 'pin', 'pos', 'rects', 'regular', 'root', 'samplepoints',
'shape', 'shapefile', 'showboxes', 'sides', 'skew', 'sortv', 'style',
'target', 'tooltip', 'vertices', 'width', 'z',
# The following are attributes dot2tex
'texlbl', 'texmode' ] )
CLUSTER_ATTRIBUTES = set( ['K', 'URL', 'bgcolor', 'color', 'colorscheme',
'fillcolor', 'fontcolor', 'fontname', 'fontsize', 'label', 'labeljust',
'labelloc', 'lheight', 'lp', 'lwidth', 'nojustify', 'pencolor',
'penwidth', 'peripheries', 'sortv', 'style', 'target', 'tooltip'] )
#
# Extented version of ASPN's Python Cookbook Recipe:
# Frozen dictionaries.
# http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/414283
#
# This version freezes dictionaries used as values within dictionaries.
#
class frozendict(dict):
def _blocked_attribute(obj):
raise AttributeError, "A frozendict cannot be modified."
_blocked_attribute = property(_blocked_attribute)
__delitem__ = __setitem__ = clear = _blocked_attribute
pop = popitem = setdefault = update = _blocked_attribute
def __new__(cls, *args, **kw):
new = dict.__new__(cls)
args_ = []
for arg in args:
if isinstance(arg, dict):
arg = copy.copy(arg)
for k, v in arg.iteritems():
if isinstance(v, frozendict):
arg[k] = v
elif isinstance(v, dict):
arg[k] = frozendict(v)
elif isinstance(v, list):
v_ = list()
for elm in v:
if isinstance(elm, dict):
v_.append( frozendict(elm) )
else:
v_.append( elm )
arg[k] = tuple(v_)
args_.append( arg )
else:
args_.append( arg )
dict.__init__(new, *args_, **kw)
return new
def __init__(self, *args, **kw):
pass
def __hash__(self):
try:
return self._cached_hash
except AttributeError:
h = self._cached_hash = hash(tuple(sorted(self.iteritems())))
return h
def __repr__(self):
return "frozendict(%s)" % dict.__repr__(self)
dot_keywords = ['graph', 'subgraph', 'digraph', 'node', 'edge', 'strict']
id_re_alpha_nums = re.compile('^[_a-zA-Z][a-zA-Z0-9_,]*$', re.UNICODE)
id_re_alpha_nums_with_ports = re.compile('^[_a-zA-Z][a-zA-Z0-9_,:\"]*[a-zA-Z0-9_,\"]+$', re.UNICODE)
id_re_num = re.compile('^[0-9,]+$', re.UNICODE)
id_re_with_port = re.compile('^([^:]*):([^:]*)$', re.UNICODE)
id_re_dbl_quoted = re.compile('^\".*\"$', re.S|re.UNICODE)
id_re_html = re.compile('^<.*>$', re.S|re.UNICODE)
def needs_quotes( s ):
"""Checks whether a string is a dot language ID.
It will check whether the string is solely composed
by the characters allowed in an ID or not.
If the string is one of the reserved keywords it will
need quotes too but the user will need to add them
manually.
"""
# If the name is a reserved keyword it will need quotes but pydot
# can't tell when it's being used as a keyword or when it's simply
# a name. Hence the user needs to supply the quotes when an element
# would use a reserved keyword as name. This function will return
# false indicating that a keyword string, if provided as-is, won't
# need quotes.
if s in dot_keywords:
return False
chars = [ord(c) for c in s if ord(c)>0x7f or ord(c)==0]
if chars and not id_re_dbl_quoted.match(s) and not id_re_html.match(s):
return True
for test_re in [id_re_alpha_nums, id_re_num, id_re_dbl_quoted, id_re_html, id_re_alpha_nums_with_ports]:
if test_re.match(s):
return False
m = id_re_with_port.match(s)
if m:
return needs_quotes(m.group(1)) or needs_quotes(m.group(2))
return True
def quote_if_necessary(s):
if isinstance(s, bool):
if s is True:
return 'True'
return 'False'
if not isinstance( s, basestring ):
return s
if not s:
return s
if needs_quotes(s):
replace = {'"' : r'\"',
"\n" : r'\n',
"\r" : r'\r'}
for (a,b) in replace.items():
s = s.replace(a, b)
return '"' + s + '"'
return s
def graph_from_dot_data(data):
"""Load graph as defined by data in DOT format.
The data is assumed to be in DOT format. It will
be parsed and a Dot class will be returned,
representing the graph.
"""
return dot_parser.parse_dot_data(data)
def graph_from_dot_file(path):
"""Load graph as defined by a DOT file.
The file is assumed to be in DOT format. It will
be loaded, parsed and a Dot class will be returned,
representing the graph.
"""
fd = file(path, 'rb')
data = fd.read()
fd.close()
return graph_from_dot_data(data)
def graph_from_edges(edge_list, node_prefix='', directed=False):
"""Creates a basic graph out of an edge list.
The edge list has to be a list of tuples representing
the nodes connected by the edge.
The values can be anything: bool, int, float, str.
If the graph is undirected by default, it is only
calculated from one of the symmetric halves of the matrix.
"""
if directed:
graph = Dot(graph_type='digraph')
else:
graph = Dot(graph_type='graph')
for edge in edge_list:
if isinstance(edge[0], str):
src = node_prefix + edge[0]
else:
src = node_prefix + str(edge[0])
if isinstance(edge[1], str):
dst = node_prefix + edge[1]
else:
dst = node_prefix + str(edge[1])
e = Edge( src, dst )
graph.add_edge(e)
return graph
def graph_from_adjacency_matrix(matrix, node_prefix= u'', directed=False):
"""Creates a basic graph out of an adjacency matrix.
The matrix has to be a list of rows of values
representing an adjacency matrix.
The values can be anything: bool, int, float, as long
as they can evaluate to True or False.
"""
node_orig = 1
if directed:
graph = Dot(graph_type='digraph')
else:
graph = Dot(graph_type='graph')
for row in matrix:
if not directed:
skip = matrix.index(row)
r = row[skip:]
else:
skip = 0
r = row
node_dest = skip+1
for e in r:
if e:
graph.add_edge(
Edge( node_prefix + node_orig,
node_prefix + node_dest) )
node_dest += 1
node_orig += 1
return graph
def graph_from_incidence_matrix(matrix, node_prefix='', directed=False):
"""Creates a basic graph out of an incidence matrix.
The matrix has to be a list of rows of values
representing an incidence matrix.
The values can be anything: bool, int, float, as long
as they can evaluate to True or False.
"""
node_orig = 1
if directed:
graph = Dot(graph_type='digraph')
else:
graph = Dot(graph_type='graph')
for row in matrix:
nodes = []
c = 1
for node in row:
if node:
nodes.append(c*node)
c += 1
nodes.sort()
if len(nodes) == 2:
graph.add_edge(
Edge( node_prefix + abs(nodes[0]),
node_prefix + nodes[1] ))
if not directed:
graph.set_simplify(True)
return graph
def __find_executables(path):
"""Used by find_graphviz
path - single directory as a string
If any of the executables are found, it will return a dictionary
containing the program names as keys and their paths as values.
Otherwise returns None
"""
success = False
progs = {'dot': '', 'twopi': '', 'neato': '', 'circo': '', 'fdp': '', 'sfdp': ''}
was_quoted = False
path = path.strip()
if path.startswith('"') and path.endswith('"'):
path = path[1:-1]
was_quoted = True
if os.path.isdir(path) :
for prg in progs.iterkeys():
if progs[prg]:
continue
if os.path.exists( os.path.join(path, prg) ):
if was_quoted:
progs[prg] = '"' + os.path.join(path, prg) + '"'
else:
progs[prg] = os.path.join(path, prg)
success = True
elif os.path.exists( os.path.join(path, prg + '.exe') ):
if was_quoted:
progs[prg] = '"' + os.path.join(path, prg + '.exe') + '"'
else:
progs[prg] = os.path.join(path, prg + '.exe')
success = True
if success:
return progs
else:
return None
# The multi-platform version of this 'find_graphviz' function was
# contributed by Peter Cock
#
def find_graphviz():
"""Locate Graphviz's executables in the system.
Tries three methods:
First: Windows Registry (Windows only)
This requires Mark Hammond's pywin32 is installed.
Secondly: Search the path
It will look for 'dot', 'twopi' and 'neato' in all the directories
specified in the PATH environment variable.
Thirdly: Default install location (Windows only)
It will look for 'dot', 'twopi' and 'neato' in the default install
location under the "Program Files" directory.
It will return a dictionary containing the program names as keys
and their paths as values.
If this fails, it returns None.
"""
# Method 1 (Windows only)
#
if os.sys.platform == 'win32':
HKEY_LOCAL_MACHINE = 0x80000002
KEY_QUERY_VALUE = 0x0001
RegOpenKeyEx = None
RegQueryValueEx = None
RegCloseKey = None
try:
import win32api, win32con
RegOpenKeyEx = win32api.RegOpenKeyEx
RegQueryValueEx = win32api.RegQueryValueEx
RegCloseKey = win32api.RegCloseKey
except ImportError:
# Print a messaged suggesting they install these?
#
pass
try:
import ctypes
def RegOpenKeyEx(key, subkey, opt, sam):
result = ctypes.c_uint(0)
ctypes.windll.advapi32.RegOpenKeyExA(key, subkey, opt, sam, ctypes.byref(result))
return result.value
def RegQueryValueEx( hkey, valuename ):
data_type = ctypes.c_uint(0)
data_len = ctypes.c_uint(1024)
data = ctypes.create_string_buffer( 1024 )
res = ctypes.windll.advapi32.RegQueryValueExA(hkey, valuename, 0,
ctypes.byref(data_type), data, ctypes.byref(data_len))
return data.value
RegCloseKey = ctypes.windll.advapi32.RegCloseKey
except ImportError:
# Print a messaged suggesting they install these?
#
pass
if RegOpenKeyEx is not None:
# Get the GraphViz install path from the registry
#
hkey = None
potentialKeys = [
"SOFTWARE\\ATT\\Graphviz",
"SOFTWARE\\AT&T Research Labs\\Graphviz",
]
for potentialKey in potentialKeys:
try:
hkey = RegOpenKeyEx( HKEY_LOCAL_MACHINE,
potentialKey, 0, KEY_QUERY_VALUE )
if hkey is not None:
path = RegQueryValueEx( hkey, "InstallPath" )
RegCloseKey( hkey )
# The regitry variable might exist, left by old installations
# but with no value, in those cases we keep searching...
if not path:
continue
# Now append the "bin" subdirectory:
#
path = os.path.join(path, "bin")
progs = __find_executables(path)
if progs is not None :
#print "Used Windows registry"
return progs
except Exception, excp:
#raise excp
pass
else:
break
# Method 2 (Linux, Windows etc)
#
if os.environ.has_key('PATH'):
for path in os.environ['PATH'].split(os.pathsep):
progs = __find_executables(path)
if progs is not None :
#print "Used path"
return progs
# Method 3 (Windows only)
#
if os.sys.platform == 'win32':
# Try and work out the equivalent of "C:\Program Files" on this
# machine (might be on drive D:, or in a different language)
#
if os.environ.has_key('PROGRAMFILES'):
# Note, we could also use the win32api to get this
# information, but win32api may not be installed.
path = os.path.join(os.environ['PROGRAMFILES'], 'ATT', 'GraphViz', 'bin')
else:
#Just in case, try the default...
path = r"C:\Program Files\att\Graphviz\bin"
progs = __find_executables(path)
if progs is not None :
#print "Used default install location"
return progs
for path in (
'/usr/bin', '/usr/local/bin',
'/opt/local/bin',
'/opt/bin', '/sw/bin', '/usr/share',
'/Applications/Graphviz.app/Contents/MacOS/' ):
progs = __find_executables(path)
if progs is not None :
#print "Used path"
return progs
# Failed to find GraphViz
#
return None
class Common:
"""Common information to several classes.
Should not be directly used, several classes are derived from
this one.
"""
def __getstate__(self):
dict = copy.copy(self.obj_dict)
return dict
def __setstate__(self, state):
self.obj_dict = state
def __get_attribute__(self, attr):
"""Look for default attributes for this node"""
attr_val = self.obj_dict['attributes'].get(attr, None)
if attr_val is None:
# get the defaults for nodes/edges
default_node_name = self.obj_dict['type']
# The defaults for graphs are set on a node named 'graph'
if default_node_name in ('subgraph', 'digraph', 'cluster'):
default_node_name = 'graph'
g = self.get_parent_graph()
if g is not None:
defaults = g.get_node( default_node_name )
else:
return None
# Multiple defaults could be set by having repeated 'graph [...]'
# 'node [...]', 'edge [...]' statements. In such case, if the
# same attribute is set in different statements, only the first
# will be returned. In order to get all, one would call the
# get_*_defaults() methods and handle those. Or go node by node
# (of the ones specifying defaults) and modify the attributes
# individually.
#
if not isinstance(defaults, (list, tuple)):
defaults = [defaults]
for default in defaults:
attr_val = default.obj_dict['attributes'].get(attr, None)
if attr_val:
return attr_val
else:
return attr_val
return None
def set_parent_graph(self, parent_graph):
self.obj_dict['parent_graph'] = parent_graph
def get_parent_graph(self):
return self.obj_dict.get('parent_graph', None)
def set(self, name, value):
"""Set an attribute value by name.
Given an attribute 'name' it will set its value to 'value'.
There's always the possibility of using the methods:
set_'name'(value)
which are defined for all the existing attributes.
"""
self.obj_dict['attributes'][name] = value
def get(self, name):
"""Get an attribute value by name.
Given an attribute 'name' it will get its value.
There's always the possibility of using the methods:
get_'name'()
which are defined for all the existing attributes.
"""
return self.obj_dict['attributes'].get(name, None)
def get_attributes(self):
""""""
return self.obj_dict['attributes']
def set_sequence(self, seq):
self.obj_dict['sequence'] = seq
def get_sequence(self):
return self.obj_dict['sequence']
def create_attribute_methods(self, obj_attributes):
#for attr in self.obj_dict['attributes']:
for attr in obj_attributes:
# Generate all the Setter methods.
#
self.__setattr__( 'set_'+attr, lambda x, a=attr : self.obj_dict['attributes'].__setitem__(a, x) )
# Generate all the Getter methods.
#
self.__setattr__('get_'+attr, lambda a=attr : self.__get_attribute__(a))
class Error(Exception):
"""General error handling class.
"""
def __init__(self, value):
self.value = value
def __str__(self):
return self.value
class InvocationException(Exception):
"""To indicate that a ploblem occurred while running any of the GraphViz executables.
"""
def __init__(self, value):
self.value = value
def __str__(self):
return self.value
class Node(object, Common):
"""A graph node.
This class represents a graph's node with all its attributes.
node(name, attribute=value, ...)
name: node's name
All the attributes defined in the Graphviz dot language should
be supported.
"""
def __init__(self, name = '', obj_dict = None, **attrs):
#
# Nodes will take attributes of all other types because the defaults
# for any GraphViz object are dealt with as if they were Node definitions
#
if obj_dict is not None:
self.obj_dict = obj_dict
else:
self.obj_dict = dict()
# Copy the attributes
#
self.obj_dict[ 'attributes' ] = dict( attrs )
self.obj_dict[ 'type' ] = 'node'
self.obj_dict[ 'parent_graph' ] = None
self.obj_dict[ 'parent_node_list' ] = None
self.obj_dict[ 'sequence' ] = None
# Remove the compass point
#
port = None
if isinstance(name, basestring) and not name.startswith('"'):
idx = name.find(':')
if idx > 0 and idx+1 < len(name):
name, port = name[:idx], name[idx:]
if isinstance(name, (long, int)):
name = str(name)
self.obj_dict['name'] = quote_if_necessary( name )
self.obj_dict['port'] = port
self.create_attribute_methods(NODE_ATTRIBUTES)
def set_name(self, node_name):
"""Set the node's name."""
self.obj_dict['name'] = node_name
def get_name(self):
"""Get the node's name."""
return self.obj_dict['name']
def get_port(self):
"""Get the node's port."""
return self.obj_dict['port']
def add_style(self, style):
styles = self.obj_dict['attributes'].get('style', None)
if not styles and style:
styles = [ style ]
else:
styles = styles.split(',')
styles.append( style )
self.obj_dict['attributes']['style'] = ','.join( styles )
def to_string(self):
"""Returns a string representation of the node in dot language.
"""
# RMF: special case defaults for node, edge and graph properties.
#
node = quote_if_necessary(self.obj_dict['name'])
node_attr = list()
for attr, value in self.obj_dict['attributes'].iteritems():
if value is not None:
node_attr.append( '%s=%s' % (attr, quote_if_necessary(value) ) )
else:
node_attr.append( attr )
# No point in having nodes setting any defaults if the don't set
# any attributes...
#
if node in ('graph', 'node', 'edge') and len(node_attr) == 0:
return ''
node_attr = ', '.join(node_attr)
if node_attr:
node += ' [' + node_attr + ']'
return node + ';'
class Edge(object, Common ):
"""A graph edge.
This class represents a graph's edge with all its attributes.
edge(src, dst, attribute=value, ...)
src: source node's name
dst: destination node's name
All the attributes defined in the Graphviz dot language should
be supported.
Attributes can be set through the dynamically generated methods:
set_[attribute name], i.e. set_label, set_fontname
or directly by using the instance's special dictionary:
Edge.obj_dict['attributes'][attribute name], i.e.
edge_instance.obj_dict['attributes']['label']
edge_instance.obj_dict['attributes']['fontname']
"""
def __init__(self, src='', dst='', obj_dict=None, **attrs):
if isinstance(src, (list, tuple)) and dst == '':
src, dst = src
if obj_dict is not None:
self.obj_dict = obj_dict
else:
self.obj_dict = dict()
# Copy the attributes
#
self.obj_dict[ 'attributes' ] = dict( attrs )
self.obj_dict[ 'type' ] = 'edge'
self.obj_dict[ 'parent_graph' ] = None
self.obj_dict[ 'parent_edge_list' ] = None
self.obj_dict[ 'sequence' ] = None
if isinstance(src, Node):
src = src.get_name()
if isinstance(dst, Node):
dst = dst.get_name()
points = ( quote_if_necessary( src) , quote_if_necessary( dst) )
self.obj_dict['points'] = points
self.create_attribute_methods(EDGE_ATTRIBUTES)
def get_source(self):
"""Get the edges source node name."""
return self.obj_dict['points'][0]
def get_destination(self):
"""Get the edge's destination node name."""
return self.obj_dict['points'][1]
def __hash__(self):
return hash( hash(self.get_source()) + hash(self.get_destination()) )
def __eq__(self, edge):
"""Compare two edges.
If the parent graph is directed, arcs linking
node A to B are considered equal and A->B != B->A
If the parent graph is undirected, any edge
connecting two nodes is equal to any other
edge connecting the same nodes, A->B == B->A
"""
if not isinstance(edge, Edge):
raise Error, "Can't compare and edge to a non-edge object."
if self.get_parent_graph().get_top_graph_type() == 'graph':
# If the graph is undirected, the edge has neither
# source nor destination.
#
if ( ( self.get_source() == edge.get_source() and self.get_destination() == edge.get_destination() ) or
( edge.get_source() == self.get_destination() and edge.get_destination() == self.get_source() ) ):
return True
else:
if self.get_source()==edge.get_source() and self.get_destination()==edge.get_destination() :
return True
return False
def parse_node_ref(self, node_str):
if not isinstance(node_str, str):
return node_str
if node_str.startswith('"') and node_str.endswith('"'):
return node_str
node_port_idx = node_str.rfind(':')
if node_port_idx>0 and node_str[0]=='"' and node_str[node_port_idx-1]=='"':
return node_str
if node_port_idx>0:
a = node_str[:node_port_idx]
b = node_str[node_port_idx+1:]
node = quote_if_necessary(a)
node += ':'+quote_if_necessary(b)
return node
return node_str
def to_string(self):
"""Returns a string representation of the edge in dot language.
"""
src = self.parse_node_ref( self.get_source() )
dst = self.parse_node_ref( self.get_destination() )
if isinstance(src, frozendict):
edge = [ Subgraph(obj_dict=src).to_string() ]
elif isinstance(src, (int, long)):
edge = [ str(src) ]
else:
edge = [ src ]
if (self.get_parent_graph() and
self.get_parent_graph().get_top_graph_type() and
self.get_parent_graph().get_top_graph_type() == 'digraph' ):
edge.append( '->' )
else:
edge.append( '--' )
if isinstance(dst, frozendict):
edge.append( Subgraph(obj_dict=dst).to_string() )
elif isinstance(dst, (int, long)):
edge.append( str(dst) )
else:
edge.append( dst )
edge_attr = list()
for attr, value in self.obj_dict['attributes'].iteritems():
if value is not None:
edge_attr.append( '%s=%s' % (attr, quote_if_necessary(value) ) )
else:
edge_attr.append( attr )
edge_attr = ', '.join(edge_attr)
if edge_attr:
edge.append( ' [' + edge_attr + ']' )
return ' '.join(edge) + ';'
class Graph(object, Common):
"""Class representing a graph in Graphviz's dot language.
This class implements the methods to work on a representation
of a graph in Graphviz's dot language.
graph( graph_name='G', graph_type='digraph',
strict=False, suppress_disconnected=False, attribute=value, ...)
graph_name:
the graph's name
graph_type:
can be 'graph' or 'digraph'
suppress_disconnected:
defaults to False, which will remove from the
graph any disconnected nodes.
simplify:
if True it will avoid displaying equal edges, i.e.
only one edge between two nodes. removing the
duplicated ones.
All the attributes defined in the Graphviz dot language should
be supported.
Attributes can be set through the dynamically generated methods:
set_[attribute name], i.e. set_size, set_fontname
or using the instance's attributes:
Graph.obj_dict['attributes'][attribute name], i.e.
graph_instance.obj_dict['attributes']['label']
graph_instance.obj_dict['attributes']['fontname']
"""
def __init__(self, graph_name='G', obj_dict=None, graph_type='digraph', strict=False,
suppress_disconnected=False, simplify=False, **attrs):
if obj_dict is not None:
self.obj_dict = obj_dict
else:
self.obj_dict = dict()
self.obj_dict['attributes'] = dict(attrs)
if graph_type not in ['graph', 'digraph']:
raise Error, 'Invalid type "%s". Accepted graph types are: graph, digraph, subgraph' % graph_type
self.obj_dict['name'] = quote_if_necessary(graph_name)
self.obj_dict['type'] = graph_type
self.obj_dict['strict'] = strict
self.obj_dict['suppress_disconnected'] = suppress_disconnected
self.obj_dict['simplify'] = simplify
self.obj_dict['current_child_sequence'] = 1
self.obj_dict['nodes'] = dict()
self.obj_dict['edges'] = dict()
self.obj_dict['subgraphs'] = dict()
self.set_parent_graph(self)
self.create_attribute_methods(GRAPH_ATTRIBUTES)
def get_graph_type(self):
return self.obj_dict['type']
def get_top_graph_type(self):
parent = self
while True:
parent_ = parent.get_parent_graph()
if parent_ == parent:
break
parent = parent_
return parent.obj_dict['type']
def set_graph_defaults(self, **attrs):
self.add_node( Node('graph', **attrs) )
def get_graph_defaults(self, **attrs):
graph_nodes = self.get_node('graph')
if isinstance( graph_nodes, (list, tuple)):
return [ node.get_attributes() for node in graph_nodes ]
return graph_nodes.get_attributes()
def set_node_defaults(self, **attrs):
self.add_node( Node('node', **attrs) )
def get_node_defaults(self, **attrs):
graph_nodes = self.get_node('node')
if isinstance( graph_nodes, (list, tuple)):
return [ node.get_attributes() for node in graph_nodes ]
return graph_nodes.get_attributes()
def set_edge_defaults(self, **attrs):
self.add_node( Node('edge', **attrs) )
def get_edge_defaults(self, **attrs):
graph_nodes = self.get_node('edge')
if isinstance( graph_nodes, (list, tuple)):
return [ node.get_attributes() for node in graph_nodes ]
return graph_nodes.get_attributes()
def set_simplify(self, simplify):
"""Set whether to simplify or not.
If True it will avoid displaying equal edges, i.e.
only one edge between two nodes. removing the
duplicated ones.
"""
self.obj_dict['simplify'] = simplify
def get_simplify(self):
"""Get whether to simplify or not.
Refer to set_simplify for more information.
"""
return self.obj_dict['simplify']
def set_type(self, graph_type):
"""Set the graph's type, 'graph' or 'digraph'."""
self.obj_dict['type'] = graph_type
def get_type(self):
"""Get the graph's type, 'graph' or 'digraph'."""
return self.obj_dict['type']
def set_name(self, graph_name):
"""Set the graph's name."""
self.obj_dict['name'] = graph_name
def get_name(self):
"""Get the graph's name."""
return self.obj_dict['name']
def set_strict(self, val):
"""Set graph to 'strict' mode.
This option is only valid for top level graphs.
"""
self.obj_dict['strict'] = val
def get_strict(self, val):
"""Get graph's 'strict' mode (True, False).
This option is only valid for top level graphs.
"""
return self.obj_dict['strict']
def set_suppress_disconnected(self, val):
"""Suppress disconnected nodes in the output graph.
This option will skip nodes in the graph with no incoming or outgoing
edges. This option works also for subgraphs and has effect only in the
current graph/subgraph.
"""
self.obj_dict['suppress_disconnected'] = val
def get_suppress_disconnected(self, val):
"""Get if suppress disconnected is set.
Refer to set_suppress_disconnected for more information.
"""
return self.obj_dict['suppress_disconnected']
def get_next_sequence_number(self):
seq = self.obj_dict['current_child_sequence']
self.obj_dict['current_child_sequence'] += 1
return seq
def add_node(self, graph_node):
"""Adds a node object to the graph.
It takes a node object as its only argument and returns
None.
"""
if not isinstance(graph_node, Node):
raise TypeError('add_node() received a non node class object: ' + str(graph_node))
node = self.get_node(graph_node.get_name())
if not node:
self.obj_dict['nodes'][graph_node.get_name()] = [ graph_node.obj_dict ]
#self.node_dict[graph_node.get_name()] = graph_node.attributes
graph_node.set_parent_graph(self.get_parent_graph())
else:
self.obj_dict['nodes'][graph_node.get_name()].append( graph_node.obj_dict )
graph_node.set_sequence(self.get_next_sequence_number())
def del_node(self, name, index=None):
"""Delete a node from the graph.
Given a node's name all node(s) with that same name
will be deleted if 'index' is not specified or set
to None.
If there are several nodes with that same name and
'index' is given, only the node in that position
will be deleted.
'index' should be an integer specifying the position
of the node to delete. If index is larger than the
number of nodes with that name, no action is taken.
If nodes are deleted it returns True. If no action
is taken it returns False.
"""
if isinstance(name, Node):
name = name.get_name()
if self.obj_dict['nodes'].has_key(name):
if index is not None and index < len(self.obj_dict['nodes'][name]):
del self.obj_dict['nodes'][name][index]
return True
else:
del self.obj_dict['nodes'][name]
return True
return False
def get_node(self, name):
"""Retrieve a node from the graph.
Given a node's name the corresponding Node
instance will be returned.
If one or more nodes exist with that name a list of
Node instances is returned.
An empty list is returned otherwise.
"""
match = list()
if self.obj_dict['nodes'].has_key(name):
match.extend( [ Node( obj_dict = obj_dict ) for obj_dict in self.obj_dict['nodes'][name] ])
return match
def get_nodes(self):
"""Get the list of Node instances."""
return self.get_node_list()
def get_node_list(self):
"""Get the list of Node instances.
This method returns the list of Node instances
composing the graph.
"""
node_objs = list()
for node, obj_dict_list in self.obj_dict['nodes'].iteritems():
node_objs.extend( [ Node( obj_dict = obj_d ) for obj_d in obj_dict_list ] )
return node_objs
def add_edge(self, graph_edge):
"""Adds an edge object to the graph.
It takes a edge object as its only argument and returns
None.
"""
if not isinstance(graph_edge, Edge):
raise TypeError('add_edge() received a non edge class object: ' + str(graph_edge))
edge_points = ( graph_edge.get_source(), graph_edge.get_destination() )
if self.obj_dict['edges'].has_key(edge_points):
edge_list = self.obj_dict['edges'][edge_points]
edge_list.append(graph_edge.obj_dict)
else:
self.obj_dict['edges'][edge_points] = [ graph_edge.obj_dict ]
graph_edge.set_sequence( self.get_next_sequence_number() )
graph_edge.set_parent_graph( self.get_parent_graph() )
def del_edge(self, src_or_list, dst=None, index=None):
"""Delete an edge from the graph.
Given an edge's (source, destination) node names all
matching edges(s) will be deleted if 'index' is not
specified or set to None.
If there are several matching edges and 'index' is
given, only the edge in that position will be deleted.
'index' should be an integer specifying the position
of the edge to delete. If index is larger than the
number of matching edges, no action is taken.
If edges are deleted it returns True. If no action
is taken it returns False.
"""
if isinstance( src_or_list, (list, tuple)):
if dst is not None and isinstance(dst, (int, long)):
index = dst
src, dst = src_or_list
else:
src, dst = src_or_list, dst
if isinstance(src, Node):
src = src.get_name()
if isinstance(dst, Node):
dst = dst.get_name()
if self.obj_dict['edges'].has_key( (src, dst) ):
if index is not None and index < len(self.obj_dict['edges'][(src, dst)]):
del self.obj_dict['edges'][(src, dst)][index]
return True
else:
del self.obj_dict['edges'][(src, dst)]
return True
return False
def get_edge(self, src_or_list, dst=None):
"""Retrieved an edge from the graph.
Given an edge's source and destination the corresponding
Edge instance(s) will be returned.
If one or more edges exist with that source and destination
a list of Edge instances is returned.
An empty list is returned otherwise.
"""
if isinstance( src_or_list, (list, tuple)) and dst is None:
edge_points = tuple(src_or_list)
edge_points_reverse = (edge_points[1], edge_points[0])
else:
edge_points = (src_or_list, dst)
edge_points_reverse = (dst, src_or_list)
match = list()
if self.obj_dict['edges'].has_key( edge_points ) or (
self.get_top_graph_type() == 'graph' and self.obj_dict['edges'].has_key( edge_points_reverse )):
edges_obj_dict = self.obj_dict['edges'].get(
edge_points,
self.obj_dict['edges'].get( edge_points_reverse, None ))
for edge_obj_dict in edges_obj_dict:
match.append( Edge( edge_points[0], edge_points[1], obj_dict = edge_obj_dict ) )
return match
def get_edges(self):
return self.get_edge_list()
def get_edge_list(self):
"""Get the list of Edge instances.
This method returns the list of Edge instances
composing the graph.
"""
edge_objs = list()
for edge, obj_dict_list in self.obj_dict['edges'].iteritems():
edge_objs.extend( [ Edge( obj_dict = obj_d ) for obj_d in obj_dict_list ] )
return edge_objs
def add_subgraph(self, sgraph):
"""Adds an subgraph object to the graph.
It takes a subgraph object as its only argument and returns
None.
"""
if not isinstance(sgraph, Subgraph) and not isinstance(sgraph, Cluster):
raise TypeError('add_subgraph() received a non subgraph class object:' + str(sgraph))
if self.obj_dict['subgraphs'].has_key(sgraph.get_name()):
sgraph_list = self.obj_dict['subgraphs'][ sgraph.get_name() ]
sgraph_list.append( sgraph.obj_dict )
else:
self.obj_dict['subgraphs'][ sgraph.get_name() ] = [ sgraph.obj_dict ]
sgraph.set_sequence( self.get_next_sequence_number() )
sgraph.set_parent_graph( self.get_parent_graph() )
def get_subgraph(self, name):
"""Retrieved a subgraph from the graph.
Given a subgraph's name the corresponding
Subgraph instance will be returned.
If one or more subgraphs exist with the same name, a list of
Subgraph instances is returned.
An empty list is returned otherwise.
"""
match = list()
if self.obj_dict['subgraphs'].has_key( name ):
sgraphs_obj_dict = self.obj_dict['subgraphs'].get( name )
for obj_dict_list in sgraphs_obj_dict:
#match.extend( Subgraph( obj_dict = obj_d ) for obj_d in obj_dict_list )
match.append( Subgraph( obj_dict = obj_dict_list ) )
return match
def get_subgraphs(self):
return self.get_subgraph_list()
def get_subgraph_list(self):
"""Get the list of Subgraph instances.
This method returns the list of Subgraph instances
in the graph.
"""
sgraph_objs = list()
for sgraph, obj_dict_list in self.obj_dict['subgraphs'].iteritems():
sgraph_objs.extend( [ Subgraph( obj_dict = obj_d ) for obj_d in obj_dict_list ] )
return sgraph_objs
def set_parent_graph(self, parent_graph):
self.obj_dict['parent_graph'] = parent_graph
for obj_list in self.obj_dict['nodes'].itervalues():
for obj in obj_list:
obj['parent_graph'] = parent_graph
for obj_list in self.obj_dict['edges'].itervalues():
for obj in obj_list:
obj['parent_graph'] = parent_graph
for obj_list in self.obj_dict['subgraphs'].itervalues():
for obj in obj_list:
Graph(obj_dict=obj).set_parent_graph(parent_graph)
def to_string(self):
"""Returns a string representation of the graph in dot language.
It will return the graph and all its subelements in string from.
"""
graph = list()
if self.obj_dict.get('strict', None) is not None:
if self==self.get_parent_graph() and self.obj_dict['strict']:
graph.append('strict ')
if self.obj_dict['name'] == '':
if 'show_keyword' in self.obj_dict and self.obj_dict['show_keyword']:
graph.append( 'subgraph {\n' )
else:
graph.append( '{\n' )
else:
graph.append( '%s %s {\n' % (self.obj_dict['type'], self.obj_dict['name']) )
for attr in self.obj_dict['attributes'].iterkeys():
if self.obj_dict['attributes'].get(attr, None) is not None:
val = self.obj_dict['attributes'].get(attr)
if val is not None:
graph.append( '%s=%s' % (attr, quote_if_necessary(val)) )
else:
graph.append( attr )
graph.append( ';\n' )
edges_done = set()
edge_obj_dicts = list()
for e in self.obj_dict['edges'].itervalues():
edge_obj_dicts.extend(e)
if edge_obj_dicts:
edge_src_set, edge_dst_set = zip( *[obj['points'] for obj in edge_obj_dicts] )
edge_src_set, edge_dst_set = set(edge_src_set), set(edge_dst_set)
else:
edge_src_set, edge_dst_set = set(), set()
node_obj_dicts = list()
for e in self.obj_dict['nodes'].itervalues():
node_obj_dicts.extend(e)
sgraph_obj_dicts = list()
for sg in self.obj_dict['subgraphs'].itervalues():
sgraph_obj_dicts.extend(sg)
obj_list = [ (obj['sequence'], obj) for obj in (edge_obj_dicts + node_obj_dicts + sgraph_obj_dicts) ]
obj_list.sort()
for idx, obj in obj_list:
if obj['type'] == 'node':
node = Node(obj_dict=obj)
if self.obj_dict.get('suppress_disconnected', False):
if (node.get_name() not in edge_src_set and
node.get_name() not in edge_dst_set):
continue
graph.append( node.to_string()+'\n' )
elif obj['type'] == 'edge':
edge = Edge(obj_dict=obj)
if self.obj_dict.get('simplify', False) and edge in edges_done:
continue
graph.append( edge.to_string() + '\n' )
edges_done.add(edge)
else:
sgraph = Subgraph(obj_dict=obj)
graph.append( sgraph.to_string()+'\n' )
graph.append( '}\n' )
return ''.join(graph)
class Subgraph(Graph):
"""Class representing a subgraph in Graphviz's dot language.
This class implements the methods to work on a representation
of a subgraph in Graphviz's dot language.
subgraph(graph_name='subG', suppress_disconnected=False, attribute=value, ...)
graph_name:
the subgraph's name
suppress_disconnected:
defaults to false, which will remove from the
subgraph any disconnected nodes.
All the attributes defined in the Graphviz dot language should
be supported.
Attributes can be set through the dynamically generated methods:
set_[attribute name], i.e. set_size, set_fontname
or using the instance's attributes:
Subgraph.obj_dict['attributes'][attribute name], i.e.
subgraph_instance.obj_dict['attributes']['label']
subgraph_instance.obj_dict['attributes']['fontname']
"""
# RMF: subgraph should have all the attributes of graph so it can be passed
# as a graph to all methods
#
def __init__(self, graph_name='', obj_dict=None, suppress_disconnected=False,
simplify=False, **attrs):
Graph.__init__(self, graph_name=graph_name, obj_dict=obj_dict,
suppress_disconnected=suppress_disconnected, simplify=simplify, **attrs)
if obj_dict is None:
self.obj_dict['type'] = 'subgraph'
class Cluster(Graph):
"""Class representing a cluster in Graphviz's dot language.
This class implements the methods to work on a representation
of a cluster in Graphviz's dot language.
cluster(graph_name='subG', suppress_disconnected=False, attribute=value, ...)
graph_name:
the cluster's name (the string 'cluster' will be always prepended)
suppress_disconnected:
defaults to false, which will remove from the
cluster any disconnected nodes.
All the attributes defined in the Graphviz dot language should
be supported.
Attributes can be set through the dynamically generated methods:
set_[attribute name], i.e. set_color, set_fontname
or using the instance's attributes:
Cluster.obj_dict['attributes'][attribute name], i.e.
cluster_instance.obj_dict['attributes']['label']
cluster_instance.obj_dict['attributes']['fontname']
"""
def __init__(self, graph_name='subG', obj_dict=None, suppress_disconnected=False,
simplify=False, **attrs):
Graph.__init__(self, graph_name=graph_name, obj_dict=obj_dict,
suppress_disconnected=suppress_disconnected, simplify=simplify, **attrs)
if obj_dict is None:
self.obj_dict['type'] = 'subgraph'
self.obj_dict['name'] = 'cluster_'+graph_name
self.create_attribute_methods(CLUSTER_ATTRIBUTES)
class Dot(Graph):
"""A container for handling a dot language file.
This class implements methods to write and process
a dot language file. It is a derived class of
the base class 'Graph'.
"""
def __init__(self, *argsl, **argsd):
Graph.__init__(self, *argsl, **argsd)
self.shape_files = list()
self.progs = None
self.formats = ['canon', 'cmap', 'cmapx', 'cmapx_np', 'dia', 'dot',
'fig', 'gd', 'gd2', 'gif', 'hpgl', 'imap', 'imap_np', 'ismap',
'jpe', 'jpeg', 'jpg', 'mif', 'mp', 'pcl', 'pdf', 'pic', 'plain',
'plain-ext', 'png', 'ps', 'ps2', 'svg', 'svgz', 'vml', 'vmlz',
'vrml', 'vtx', 'wbmp', 'xdot', 'xlib' ]
self.prog = 'dot'
# Automatically creates all the methods enabling the creation
# of output in any of the supported formats.
for frmt in self.formats:
self.__setattr__(
'create_'+frmt,
lambda f=frmt, prog=self.prog : self.create(format=f, prog=prog))
f = self.__dict__['create_'+frmt]
f.__doc__ = '''Refer to the docstring accompanying the 'create' method for more information.'''
for frmt in self.formats+['raw']:
self.__setattr__(
'write_'+frmt,
lambda path, f=frmt, prog=self.prog : self.write(path, format=f, prog=prog))
f = self.__dict__['write_'+frmt]
f.__doc__ = '''Refer to the docstring accompanying the 'write' method for more information.'''
def __getstate__(self):
dict = copy.copy(self.obj_dict)
return dict
def __setstate__(self, state):
self.obj_dict = state
def set_shape_files(self, file_paths):
"""Add the paths of the required image files.
If the graph needs graphic objects to be used as shapes or otherwise
those need to be in the same folder as the graph is going to be rendered
from. Alternatively the absolute path to the files can be specified when
including the graphics in the graph.
The files in the location pointed to by the path(s) specified as arguments
to this method will be copied to the same temporary location where the
graph is going to be rendered.
"""
if isinstance( file_paths, basestring ):
self.shape_files.append( file_paths )
if isinstance( file_paths, (list, tuple) ):
self.shape_files.extend( file_paths )
def set_prog(self, prog):
"""Sets the default program.
Sets the default program in charge of processing
the dot file into a graph.
"""
self.prog = prog
def set_graphviz_executables(self, paths):
"""This method allows to manually specify the location of the GraphViz executables.
The argument to this method should be a dictionary where the keys are as follows:
{'dot': '', 'twopi': '', 'neato': '', 'circo': '', 'fdp': ''}
and the values are the paths to the corresponding executable, including the name
of the executable itself.
"""
self.progs = paths
def write(self, path, prog=None, format='raw'):
"""Writes a graph to a file.
Given a filename 'path' it will open/create and truncate
such file and write on it a representation of the graph
defined by the dot object and in the format specified by
'format'.
The format 'raw' is used to dump the string representation
of the Dot object, without further processing.
The output can be processed by any of graphviz tools, defined
in 'prog', which defaults to 'dot'
Returns True or False according to the success of the write
operation.
There's also the preferred possibility of using:
write_'format'(path, prog='program')
which are automatically defined for all the supported formats.
[write_ps(), write_gif(), write_dia(), ...]
"""
if prog is None:
prog = self.prog
dot_fd = file(path, "w+b")
if format == 'raw':
data = self.to_string()
if isinstance(data, basestring):
if not isinstance(data, unicode):
try:
data = unicode(data, 'utf-8')
except:
pass
try:
data = data.encode('utf-8')
except:
pass
dot_fd.write(data)
else:
dot_fd.write(self.create(prog, format))
dot_fd.close()
return True
def create(self, prog=None, format='ps'):
"""Creates and returns a Postscript representation of the graph.
create will write the graph to a temporary dot file and process
it with the program given by 'prog' (which defaults to 'twopi'),
reading the Postscript output and returning it as a string is the
operation is successful.
On failure None is returned.
There's also the preferred possibility of using:
create_'format'(prog='program')
which are automatically defined for all the supported formats.
[create_ps(), create_gif(), create_dia(), ...]
If 'prog' is a list instead of a string the fist item is expected
to be the program name, followed by any optional command-line
arguments for it:
[ 'twopi', '-Tdot', '-s10' ]
"""
if prog is None:
prog = self.prog
if isinstance(prog, (list, tuple)):
prog, args = prog[0], prog[1:]
else:
args = []
if self.progs is None:
self.progs = find_graphviz()
if self.progs is None:
raise InvocationException(
'GraphViz\'s executables not found' )
if not self.progs.has_key(prog):
raise InvocationException(
'GraphViz\'s executable "%s" not found' % prog )
if not os.path.exists( self.progs[prog] ) or not os.path.isfile( self.progs[prog] ):
raise InvocationException(
'GraphViz\'s executable "%s" is not a file or doesn\'t exist' % self.progs[prog] )
tmp_fd, tmp_name = tempfile.mkstemp()
os.close(tmp_fd)
self.write(tmp_name)
tmp_dir = os.path.dirname(tmp_name )
# For each of the image files...
#
for img in self.shape_files:
# Get its data
#
f = file(img, 'rb')
f_data = f.read()
f.close()
# And copy it under a file with the same name in the temporary directory
#
f = file( os.path.join( tmp_dir, os.path.basename(img) ), 'wb' )
f.write(f_data)
f.close()
cmdline = [self.progs[prog], '-T'+format, tmp_name] + args
p = subprocess.Popen(
cmdline,
cwd=tmp_dir,
stderr=subprocess.PIPE, stdout=subprocess.PIPE)
stderr = p.stderr
stdout = p.stdout
stdout_output = list()
while True:
data = stdout.read()
if not data:
break
stdout_output.append(data)
stdout.close()
stdout_output = ''.join(stdout_output)
if not stderr.closed:
stderr_output = list()
while True:
data = stderr.read()
if not data:
break
stderr_output.append(data)
stderr.close()
if stderr_output:
stderr_output = ''.join(stderr_output)
#pid, status = os.waitpid(p.pid, 0)
status = p.wait()
if status != 0 :
raise InvocationException(
'Program terminated with status: %d. stderr follows: %s' % (
status, stderr_output) )
elif stderr_output:
print stderr_output
# For each of the image files...
#
for img in self.shape_files:
# remove it
#
os.unlink( os.path.join( tmp_dir, os.path.basename(img) ) )
os.unlink(tmp_name)
return stdout_output
| 28.248039 | 115 | 0.582376 |
9d3a9e004280740c4d8ff8381f4384536b31ecff | 26,103 | py | Python | pyramid/tests/test_integration.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_integration.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_integration.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
import locale
import os
import unittest
from pyramid.wsgi import wsgiapp
from pyramid.view import view_config
from pyramid.static import static_view
from pyramid.compat import (
text_,
url_quote,
)
from zope.interface import Interface
# 5 years from now (more or less)
fiveyrsfuture = datetime.datetime.utcnow() + datetime.timedelta(5*365)
defaultlocale = locale.getdefaultlocale()[1]
class INothing(Interface):
pass
@view_config(for_=INothing)
@wsgiapp
def wsgiapptest(environ, start_response):
""" """
return '123'
class WGSIAppPlusViewConfigTests(unittest.TestCase):
def test_it(self):
from venusian import ATTACH_ATTR
import types
self.assertTrue(getattr(wsgiapptest, ATTACH_ATTR))
self.assertTrue(type(wsgiapptest) is types.FunctionType)
context = DummyContext()
request = DummyRequest()
result = wsgiapptest(context, request)
self.assertEqual(result, '123')
def test_scanned(self):
from pyramid.interfaces import IRequest
from pyramid.interfaces import IView
from pyramid.interfaces import IViewClassifier
from pyramid.config import Configurator
from pyramid.tests import test_integration
config = Configurator()
config.scan(test_integration)
config.commit()
reg = config.registry
view = reg.adapters.lookup(
(IViewClassifier, IRequest, INothing), IView, name='')
self.assertEqual(view.__original_view__, wsgiapptest)
class IntegrationBase(object):
root_factory = None
package = None
def setUp(self):
from pyramid.config import Configurator
config = Configurator(root_factory=self.root_factory,
package=self.package)
config.include(self.package)
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
self.config = config
def tearDown(self):
self.config.end()
here = os.path.dirname(__file__)
class StaticAppBase(IntegrationBase):
def test_basic(self):
res = self.testapp.get('/minimal.txt', status=200)
_assertBody(res.body, os.path.join(here, 'fixtures/minimal.txt'))
def test_hidden(self):
res = self.testapp.get('/static/.hiddenfile', status=200)
_assertBody(res.body, os.path.join(here, 'fixtures/static/.hiddenfile'))
if defaultlocale is not None:
# These tests are expected to fail on LANG=C systems due to decode
# errors and on non-Linux systems due to git highchar handling
# vagaries
def test_highchars_in_pathelement(self):
path = os.path.join(
here,
text_('fixtures/static/héhé/index.html', 'utf-8'))
pathdir = os.path.dirname(path)
body = b'<html>hehe</html>\n'
try:
os.makedirs(pathdir)
with open(path, 'wb') as fp:
fp.write(body)
url = url_quote('/static/héhé/index.html')
res = self.testapp.get(url, status=200)
self.assertEqual(res.body, body)
finally:
os.unlink(path)
os.rmdir(pathdir)
def test_highchars_in_filename(self):
path = os.path.join(
here,
text_('fixtures/static/héhé.html', 'utf-8'))
body = b'<html>hehe file</html>\n'
with open(path, 'wb') as fp:
fp.write(body)
try:
url = url_quote('/static/héhé.html')
res = self.testapp.get(url, status=200)
self.assertEqual(res.body, body)
finally:
os.unlink(path)
def test_not_modified(self):
self.testapp.extra_environ = {
'HTTP_IF_MODIFIED_SINCE':httpdate(fiveyrsfuture)}
res = self.testapp.get('/minimal.txt', status=304)
self.assertEqual(res.body, b'')
def test_file_in_subdir(self):
fn = os.path.join(here, 'fixtures/static/index.html')
res = self.testapp.get('/static/index.html', status=200)
_assertBody(res.body, fn)
def test_directory_noslash_redir(self):
res = self.testapp.get('/static', status=301)
self.assertEqual(res.headers['Location'], 'http://localhost/static/')
def test_directory_noslash_redir_preserves_qs(self):
res = self.testapp.get('/static?a=1&b=2', status=301)
self.assertEqual(res.headers['Location'],
'http://localhost/static/?a=1&b=2')
def test_directory_noslash_redir_with_scriptname(self):
self.testapp.extra_environ = {'SCRIPT_NAME':'/script_name'}
res = self.testapp.get('/static', status=301)
self.assertEqual(res.headers['Location'],
'http://localhost/script_name/static/')
def test_directory_withslash(self):
fn = os.path.join(here, 'fixtures/static/index.html')
res = self.testapp.get('/static/', status=200)
_assertBody(res.body, fn)
def test_range_inclusive(self):
self.testapp.extra_environ = {'HTTP_RANGE':'bytes=1-2'}
res = self.testapp.get('/static/index.html', status=206)
self.assertEqual(res.body, b'ht')
def test_range_tilend(self):
self.testapp.extra_environ = {'HTTP_RANGE':'bytes=-5'}
res = self.testapp.get('/static/index.html', status=206)
self.assertEqual(res.body, b'html>')
def test_range_notbytes(self):
self.testapp.extra_environ = {'HTTP_RANGE':'kHz=-5'}
res = self.testapp.get('/static/index.html', status=200)
_assertBody(res.body,
os.path.join(here, 'fixtures/static/index.html'))
def test_range_multiple(self):
res = self.testapp.get('/static/index.html',
[('HTTP_RANGE', 'bytes=10-11,11-12')],
status=200)
_assertBody(res.body,
os.path.join(here, 'fixtures/static/index.html'))
def test_range_oob(self):
self.testapp.extra_environ = {'HTTP_RANGE':'bytes=1000-1002'}
self.testapp.get('/static/index.html', status=416)
def test_notfound(self):
self.testapp.get('/static/wontbefound.html', status=404)
def test_oob_dotdotslash(self):
self.testapp.get('/static/../../test_integration.py', status=404)
def test_oob_dotdotslash_encoded(self):
self.testapp.get('/static/%2E%2E%2F/test_integration.py', status=404)
def test_oob_slash(self):
self.testapp.get('/%2F/test_integration.py', status=404)
class TestEventOnlySubscribers(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.eventonly'
def test_sendfoo(self):
res = self.testapp.get('/sendfoo', status=200)
self.assertEqual(sorted(res.body.split()), [b'foo', b'fooyup'])
def test_sendfoobar(self):
res = self.testapp.get('/sendfoobar', status=200)
self.assertEqual(sorted(res.body.split()),
[b'foobar', b'foobar2', b'foobaryup', b'foobaryup2'])
class TestStaticAppUsingAbsPath(StaticAppBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.static_abspath'
class TestStaticAppUsingAssetSpec(StaticAppBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.static_assetspec'
class TestStaticAppNoSubpath(unittest.TestCase):
staticapp = static_view(os.path.join(here, 'fixtures'), use_subpath=False)
def _makeRequest(self, extra):
from pyramid.request import Request
from io import BytesIO
kw = {'PATH_INFO':'',
'SCRIPT_NAME':'',
'SERVER_NAME':'localhost',
'SERVER_PORT':'80',
'REQUEST_METHOD':'GET',
'wsgi.version':(1,0),
'wsgi.url_scheme':'http',
'wsgi.input':BytesIO()}
kw.update(extra)
request = Request(kw)
return request
def test_basic(self):
request = self._makeRequest({'PATH_INFO':'/minimal.txt'})
context = DummyContext()
result = self.staticapp(context, request)
self.assertEqual(result.status, '200 OK')
_assertBody(result.body, os.path.join(here, 'fixtures/minimal.txt'))
class TestStaticAppWithRoutePrefix(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.static_routeprefix'
def test_includelevel1(self):
res = self.testapp.get('/static/minimal.txt', status=200)
_assertBody(res.body,
os.path.join(here, 'fixtures/minimal.txt'))
def test_includelevel2(self):
res = self.testapp.get('/prefix/static/index.html', status=200)
_assertBody(res.body,
os.path.join(here, 'fixtures/static/index.html'))
class TestFixtureApp(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.fixtureapp'
def test_another(self):
res = self.testapp.get('/another.html', status=200)
self.assertEqual(res.body, b'fixture')
def test_root(self):
res = self.testapp.get('/', status=200)
self.assertEqual(res.body, b'fixture')
def test_dummyskin(self):
self.testapp.get('/dummyskin.html', status=404)
def test_error(self):
res = self.testapp.get('/error.html', status=200)
self.assertEqual(res.body, b'supressed')
def test_protected(self):
self.testapp.get('/protected.html', status=403)
class TestStaticPermApp(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.staticpermapp'
root_factory = 'pyramid.tests.pkgs.staticpermapp:RootFactory'
def test_allowed(self):
result = self.testapp.get('/allowed/index.html', status=200)
_assertBody(result.body,
os.path.join(here, 'fixtures/static/index.html'))
def test_denied_via_acl_global_root_factory(self):
self.testapp.extra_environ = {'REMOTE_USER':'bob'}
self.testapp.get('/protected/index.html', status=403)
def test_allowed_via_acl_global_root_factory(self):
self.testapp.extra_environ = {'REMOTE_USER':'fred'}
result = self.testapp.get('/protected/index.html', status=200)
_assertBody(result.body,
os.path.join(here, 'fixtures/static/index.html'))
def test_denied_via_acl_local_root_factory(self):
self.testapp.extra_environ = {'REMOTE_USER':'fred'}
self.testapp.get('/factory_protected/index.html', status=403)
def test_allowed_via_acl_local_root_factory(self):
self.testapp.extra_environ = {'REMOTE_USER':'bob'}
result = self.testapp.get('/factory_protected/index.html', status=200)
_assertBody(result.body,
os.path.join(here, 'fixtures/static/index.html'))
class TestCCBug(IntegrationBase, unittest.TestCase):
# "unordered" as reported in IRC by author of
# http://labs.creativecommons.org/2010/01/13/cc-engine-and-web-non-frameworks/
package = 'pyramid.tests.pkgs.ccbugapp'
def test_rdf(self):
res = self.testapp.get('/licenses/1/v1/rdf', status=200)
self.assertEqual(res.body, b'rdf')
def test_juri(self):
res = self.testapp.get('/licenses/1/v1/juri', status=200)
self.assertEqual(res.body, b'juri')
class TestHybridApp(IntegrationBase, unittest.TestCase):
# make sure views registered for a route "win" over views registered
# without one, even though the context of the non-route view may
# be more specific than the route view.
package = 'pyramid.tests.pkgs.hybridapp'
def test_root(self):
res = self.testapp.get('/', status=200)
self.assertEqual(res.body, b'global')
def test_abc(self):
res = self.testapp.get('/abc', status=200)
self.assertEqual(res.body, b'route')
def test_def(self):
res = self.testapp.get('/def', status=200)
self.assertEqual(res.body, b'route2')
def test_ghi(self):
res = self.testapp.get('/ghi', status=200)
self.assertEqual(res.body, b'global')
def test_jkl(self):
self.testapp.get('/jkl', status=404)
def test_mno(self):
self.testapp.get('/mno', status=404)
def test_pqr_global2(self):
res = self.testapp.get('/pqr/global2', status=200)
self.assertEqual(res.body, b'global2')
def test_error(self):
res = self.testapp.get('/error', status=200)
self.assertEqual(res.body, b'supressed')
def test_error2(self):
res = self.testapp.get('/error2', status=200)
self.assertEqual(res.body, b'supressed2')
def test_error_sub(self):
res = self.testapp.get('/error_sub', status=200)
self.assertEqual(res.body, b'supressed2')
class TestRestBugApp(IntegrationBase, unittest.TestCase):
# test bug reported by delijati 2010/2/3 (http://pastebin.com/d4cc15515)
package = 'pyramid.tests.pkgs.restbugapp'
def test_it(self):
res = self.testapp.get('/pet', status=200)
self.assertEqual(res.body, b'gotten')
class TestForbiddenAppHasResult(IntegrationBase, unittest.TestCase):
# test that forbidden exception has ACLDenied result attached
package = 'pyramid.tests.pkgs.forbiddenapp'
def test_it(self):
res = self.testapp.get('/x', status=403)
message, result = [x.strip() for x in res.body.split(b'\n')]
self.assertTrue(message.endswith(b'failed permission check'))
self.assertTrue(
result.startswith(b"ACLDenied permission 'private' via ACE "
b"'<default deny>' in ACL "
b"'<No ACL found on any object in resource "
b"lineage>' on context"))
self.assertTrue(
result.endswith(b"for principals ['system.Everyone']"))
class TestViewDecoratorApp(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.viewdecoratorapp'
def test_first(self):
res = self.testapp.get('/first', status=200)
self.assertTrue(b'OK' in res.body)
def test_second(self):
res = self.testapp.get('/second', status=200)
self.assertTrue(b'OK2' in res.body)
class TestNotFoundView(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.notfoundview'
def test_it(self):
res = self.testapp.get('/wontbefound', status=200)
self.assertTrue(b'generic_notfound' in res.body)
res = self.testapp.get('/bar', status=302)
self.assertEqual(res.location, 'http://localhost/bar/')
res = self.testapp.get('/bar/', status=200)
self.assertTrue(b'OK bar' in res.body)
res = self.testapp.get('/foo', status=302)
self.assertEqual(res.location, 'http://localhost/foo/')
res = self.testapp.get('/foo/', status=200)
self.assertTrue(b'OK foo2' in res.body)
res = self.testapp.get('/baz', status=200)
self.assertTrue(b'baz_notfound' in res.body)
class TestForbiddenView(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.forbiddenview'
def test_it(self):
res = self.testapp.get('/foo', status=200)
self.assertTrue(b'foo_forbidden' in res.body)
res = self.testapp.get('/bar', status=200)
self.assertTrue(b'generic_forbidden' in res.body)
class TestViewPermissionBug(IntegrationBase, unittest.TestCase):
# view_execution_permitted bug as reported by Shane at http://lists.repoze.org/pipermail/repoze-dev/2010-October/003603.html
package = 'pyramid.tests.pkgs.permbugapp'
def test_test(self):
res = self.testapp.get('/test', status=200)
self.assertTrue(b'ACLDenied' in res.body)
def test_x(self):
self.testapp.get('/x', status=403)
class TestDefaultViewPermissionBug(IntegrationBase, unittest.TestCase):
# default_view_permission bug as reported by Wiggy at http://lists.repoze.org/pipermail/repoze-dev/2010-October/003602.html
package = 'pyramid.tests.pkgs.defpermbugapp'
def test_x(self):
res = self.testapp.get('/x', status=403)
self.assertTrue(b'failed permission check' in res.body)
def test_y(self):
res = self.testapp.get('/y', status=403)
self.assertTrue(b'failed permission check' in res.body)
def test_z(self):
res = self.testapp.get('/z', status=200)
self.assertTrue(b'public' in res.body)
from pyramid.tests.pkgs.exceptionviewapp.models import \
AnException, NotAnException
excroot = {'anexception':AnException(),
'notanexception':NotAnException()}
class TestExceptionViewsApp(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.exceptionviewapp'
root_factory = lambda *arg: excroot
def test_root(self):
res = self.testapp.get('/', status=200)
self.assertTrue(b'maybe' in res.body)
def test_notanexception(self):
res = self.testapp.get('/notanexception', status=200)
self.assertTrue(b'no' in res.body)
def test_anexception(self):
res = self.testapp.get('/anexception', status=200)
self.assertTrue(b'yes' in res.body)
def test_route_raise_exception(self):
res = self.testapp.get('/route_raise_exception', status=200)
self.assertTrue(b'yes' in res.body)
def test_route_raise_exception2(self):
res = self.testapp.get('/route_raise_exception2', status=200)
self.assertTrue(b'yes' in res.body)
def test_route_raise_exception3(self):
res = self.testapp.get('/route_raise_exception3', status=200)
self.assertTrue(b'whoa' in res.body)
def test_route_raise_exception4(self):
res = self.testapp.get('/route_raise_exception4', status=200)
self.assertTrue(b'whoa' in res.body)
def test_raise_httpexception(self):
res = self.testapp.get('/route_raise_httpexception', status=200)
self.assertTrue(b'caught' in res.body)
class TestConflictApp(unittest.TestCase):
package = 'pyramid.tests.pkgs.conflictapp'
def _makeConfig(self):
from pyramid.config import Configurator
config = Configurator()
return config
def test_autoresolved_view(self):
config = self._makeConfig()
config.include(self.package)
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
res = self.testapp.get('/')
self.assertTrue(b'a view' in res.body)
res = self.testapp.get('/route')
self.assertTrue(b'route view' in res.body)
def test_overridden_autoresolved_view(self):
from pyramid.response import Response
config = self._makeConfig()
config.include(self.package)
def thisview(request):
return Response('this view')
config.add_view(thisview)
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
res = self.testapp.get('/')
self.assertTrue(b'this view' in res.body)
def test_overridden_route_view(self):
from pyramid.response import Response
config = self._makeConfig()
config.include(self.package)
def thisview(request):
return Response('this view')
config.add_view(thisview, route_name='aroute')
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
res = self.testapp.get('/route')
self.assertTrue(b'this view' in res.body)
def test_nonoverridden_authorization_policy(self):
config = self._makeConfig()
config.include(self.package)
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
res = self.testapp.get('/protected', status=403)
self.assertTrue(b'403 Forbidden' in res.body)
def test_overridden_authorization_policy(self):
config = self._makeConfig()
config.include(self.package)
from pyramid.testing import DummySecurityPolicy
config.set_authorization_policy(DummySecurityPolicy('fred'))
config.set_authentication_policy(DummySecurityPolicy(permissive=True))
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
res = self.testapp.get('/protected', status=200)
self.assertTrue('protected view' in res)
class ImperativeIncludeConfigurationTest(unittest.TestCase):
def setUp(self):
from pyramid.config import Configurator
config = Configurator()
from pyramid.tests.pkgs.includeapp1.root import configure
configure(config)
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
self.config = config
def tearDown(self):
self.config.end()
def test_root(self):
res = self.testapp.get('/', status=200)
self.assertTrue(b'root' in res.body)
def test_two(self):
res = self.testapp.get('/two', status=200)
self.assertTrue(b'two' in res.body)
def test_three(self):
res = self.testapp.get('/three', status=200)
self.assertTrue(b'three' in res.body)
class SelfScanAppTest(unittest.TestCase):
def setUp(self):
from pyramid.tests.test_config.pkgs.selfscan import main
config = main()
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
self.config = config
def tearDown(self):
self.config.end()
def test_root(self):
res = self.testapp.get('/', status=200)
self.assertTrue(b'root' in res.body)
def test_two(self):
res = self.testapp.get('/two', status=200)
self.assertTrue(b'two' in res.body)
class WSGIApp2AppTest(unittest.TestCase):
def setUp(self):
from pyramid.tests.pkgs.wsgiapp2app import main
config = main()
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
self.config = config
def tearDown(self):
self.config.end()
def test_hello(self):
res = self.testapp.get('/hello', status=200)
self.assertTrue(b'Hello' in res.body)
class SubrequestAppTest(unittest.TestCase):
def setUp(self):
from pyramid.tests.pkgs.subrequestapp import main
config = main()
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
self.config = config
def tearDown(self):
self.config.end()
def test_one(self):
res = self.testapp.get('/view_one', status=200)
self.assertTrue(b'This came from view_two' in res.body)
def test_three(self):
res = self.testapp.get('/view_three', status=500)
self.assertTrue(b'Bad stuff happened' in res.body)
def test_five(self):
res = self.testapp.get('/view_five', status=200)
self.assertTrue(b'Value error raised' in res.body)
class RendererScanAppTest(IntegrationBase, unittest.TestCase):
package = 'pyramid.tests.pkgs.rendererscanapp'
def test_root(self):
res = self.testapp.get('/one', status=200)
self.assertTrue(b'One!' in res.body)
def test_two(self):
res = self.testapp.get('/two', status=200)
self.assertTrue(b'Two!' in res.body)
def test_rescan(self):
self.config.scan('pyramid.tests.pkgs.rendererscanapp')
app = self.config.make_wsgi_app()
from webtest import TestApp
testapp = TestApp(app)
res = testapp.get('/one', status=200)
self.assertTrue(b'One!' in res.body)
res = testapp.get('/two', status=200)
self.assertTrue(b'Two!' in res.body)
class AcceptContentTypeTest(unittest.TestCase):
def setUp(self):
def hello_view(request):
return {'message': 'Hello!'}
from pyramid.config import Configurator
config = Configurator()
config.add_route('hello', '/hello')
config.add_view(hello_view, route_name='hello', accept='text/plain', renderer='string')
config.add_view(hello_view, route_name='hello', accept='application/json', renderer='json')
app = config.make_wsgi_app()
from webtest import TestApp
self.testapp = TestApp(app)
def tearDown(self):
import pyramid.config
pyramid.config.global_registries.empty()
def test_ordering(self):
res = self.testapp.get('/hello', headers={'Accept': 'application/json; q=1.0, text/plain; q=0.9'}, status=200)
self.assertEqual(res.content_type, 'application/json')
res = self.testapp.get('/hello', headers={'Accept': 'text/plain; q=0.9, application/json; q=1.0'}, status=200)
self.assertEqual(res.content_type, 'application/json')
def test_wildcards(self):
res = self.testapp.get('/hello', headers={'Accept': 'application/*'}, status=200)
self.assertEqual(res.content_type, 'application/json')
res = self.testapp.get('/hello', headers={'Accept': 'text/*'}, status=200)
self.assertEqual(res.content_type, 'text/plain')
class DummyContext(object):
pass
class DummyRequest:
subpath = ('__init__.py',)
traversed = None
environ = {'REQUEST_METHOD':'GET', 'wsgi.version':(1,0)}
def get_response(self, application):
return application(None, None)
def httpdate(ts):
return ts.strftime("%a, %d %b %Y %H:%M:%S GMT")
def read_(filename):
with open(filename, 'rb') as fp:
val = fp.read()
return val
def _assertBody(body, filename):
if defaultlocale is None: # pragma: no cover
# If system locale does not have an encoding then default to utf-8
filename = filename.encode('utf-8')
# strip both \n and \r for windows
body = body.replace(b'\r', b'')
body = body.replace(b'\n', b'')
data = read_(filename)
data = data.replace(b'\r', b'')
data = data.replace(b'\n', b'')
assert(body == data)
| 37.183761 | 128 | 0.643719 |
a6e8a9370c5094456b40177c39c5db2650ffb535 | 2,276 | py | Python | test_autogalaxy/cosmology/test_model.py | Jammy2211/PyAutoModel | 02f54e71900de9ec12c9070dc00a4bd001b25afa | [
"MIT"
] | null | null | null | test_autogalaxy/cosmology/test_model.py | Jammy2211/PyAutoModel | 02f54e71900de9ec12c9070dc00a4bd001b25afa | [
"MIT"
] | null | null | null | test_autogalaxy/cosmology/test_model.py | Jammy2211/PyAutoModel | 02f54e71900de9ec12c9070dc00a4bd001b25afa | [
"MIT"
] | null | null | null | import pytest
import autogalaxy as ag
def test__planck15_Om0(planck15):
planck15_Om0 = ag.cosmo.model.Planck15Om0()
critical_surface_density = planck15.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
critical_surface_density_Om0 = planck15_Om0.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
assert critical_surface_density - critical_surface_density_Om0 < 1e-4
planck15_Om0 = ag.cosmo.model.Planck15Om0(Om0=0.5)
critical_surface_density = planck15.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
critical_surface_density_Om0 = planck15_Om0.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
assert critical_surface_density - critical_surface_density_Om0 > 10.0
def test__planck15_flat_w(planck15):
planck15_flat_w = ag.cosmo.model.Planck15FlatwCDM()
critical_surface_density = planck15.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
critical_surface_density_flat_w = planck15_flat_w.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
assert critical_surface_density - critical_surface_density_flat_w < 1.0e-4
planck15_flat_w = ag.cosmo.model.Planck15FlatwCDM(Om0=0.1)
critical_surface_density = planck15.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
critical_surface_density_flat_w = planck15_flat_w.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
assert critical_surface_density - critical_surface_density_flat_w > 10.0
planck15_flat_w = ag.cosmo.model.Planck15FlatwCDM(Om0=0.1, w0=-0.5)
critical_surface_density = planck15.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
critical_surface_density_flat_w = planck15_flat_w.critical_surface_density_between_redshifts_from(
redshift_0=0.1, redshift_1=1.0
)
assert critical_surface_density - critical_surface_density_flat_w > 10.0
| 32.514286 | 103 | 0.753076 |
d64a3117847c55dd10639f52f2d1eeef6ce718d3 | 6,724 | py | Python | tests/python/pants_test/util/test_contextutil.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/util/test_contextutil.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/util/test_contextutil.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | 1 | 2019-06-10T17:24:34.000Z | 2019-06-10T17:24:34.000Z | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
import shutil
import subprocess
import sys
import unittest
from pants.util.contextutil import (Timer, environment_as, open_zip, pushd, stdio_as, temporary_dir,
temporary_file)
class ContextutilTest(unittest.TestCase):
def test_empty_environment(self):
with environment_as():
pass
def test_override_single_variable(self):
with temporary_file() as output:
# test that the override takes place
with environment_as(HORK='BORK'):
subprocess.Popen([sys.executable, '-c', 'import os; print(os.environ["HORK"])'],
stdout=output).wait()
output.seek(0)
self.assertEquals('BORK\n', output.read())
# test that the variable is cleared
with temporary_file() as new_output:
subprocess.Popen([sys.executable, '-c', 'import os; print("HORK" in os.environ)'],
stdout=new_output).wait()
new_output.seek(0)
self.assertEquals('False\n', new_output.read())
def test_environment_negation(self):
with temporary_file() as output:
with environment_as(HORK='BORK'):
with environment_as(HORK=None):
# test that the variable is cleared
subprocess.Popen([sys.executable, '-c', 'import os; print("HORK" in os.environ)'],
stdout=output).wait()
output.seek(0)
self.assertEquals('False\n', output.read())
def test_simple_pushd(self):
pre_cwd = os.getcwd()
with temporary_dir() as tempdir:
with pushd(tempdir) as path:
self.assertEquals(tempdir, path)
self.assertEquals(os.path.realpath(tempdir), os.getcwd())
self.assertEquals(pre_cwd, os.getcwd())
self.assertEquals(pre_cwd, os.getcwd())
def test_nested_pushd(self):
pre_cwd = os.getcwd()
with temporary_dir() as tempdir1:
with pushd(tempdir1) as path1:
self.assertEquals(os.path.realpath(tempdir1), os.getcwd())
with temporary_dir(root_dir=tempdir1) as tempdir2:
with pushd(tempdir2) as path2:
self.assertEquals(os.path.realpath(tempdir2), os.getcwd())
self.assertEquals(os.path.realpath(tempdir1), os.getcwd())
self.assertEquals(os.path.realpath(tempdir1), os.getcwd())
self.assertEquals(pre_cwd, os.getcwd())
self.assertEquals(pre_cwd, os.getcwd())
def test_temporary_file_no_args(self):
with temporary_file() as fp:
self.assertTrue(os.path.exists(fp.name), 'Temporary file should exist within the context.')
self.assertTrue(os.path.exists(fp.name) == False,
'Temporary file should not exist outside of the context.')
def test_temporary_file_without_cleanup(self):
with temporary_file(cleanup=False) as fp:
self.assertTrue(os.path.exists(fp.name), 'Temporary file should exist within the context.')
self.assertTrue(os.path.exists(fp.name),
'Temporary file should exist outside of context if cleanup=False.')
os.unlink(fp.name)
def test_temporary_file_within_other_dir(self):
with temporary_dir() as path:
with temporary_file(root_dir=path) as f:
self.assertTrue(os.path.realpath(f.name).startswith(os.path.realpath(path)),
'file should be created in root_dir if specified.')
def test_temporary_dir_no_args(self):
with temporary_dir() as path:
self.assertTrue(os.path.exists(path), 'Temporary dir should exist within the context.')
self.assertTrue(os.path.isdir(path), 'Temporary dir should be a dir and not a file.')
self.assertFalse(os.path.exists(path), 'Temporary dir should not exist outside of the context.')
def test_temporary_dir_without_cleanup(self):
with temporary_dir(cleanup=False) as path:
self.assertTrue(os.path.exists(path), 'Temporary dir should exist within the context.')
self.assertTrue(os.path.exists(path),
'Temporary dir should exist outside of context if cleanup=False.')
shutil.rmtree(path)
def test_temporary_dir_with_root_dir(self):
with temporary_dir() as path1:
with temporary_dir(root_dir=path1) as path2:
self.assertTrue(os.path.realpath(path2).startswith(os.path.realpath(path1)),
'Nested temporary dir should be created within outer dir.')
def test_timer(self):
class FakeClock(object):
def __init__(self):
self._time = 0.0
def time(self):
ret = self._time
self._time += 0.0001 # Force a little time to elapse.
return ret
def sleep(self, duration):
self._time += duration
clock = FakeClock()
# Note: to test with the real system clock, use this instead:
# import time
# clock = time
with Timer(clock=clock) as t:
self.assertLess(t.start, clock.time())
self.assertGreater(t.elapsed, 0)
clock.sleep(0.1)
self.assertGreater(t.elapsed, 0.1)
clock.sleep(0.1)
self.assertTrue(t.finish is None)
self.assertGreater(t.elapsed, 0.2)
self.assertLess(t.finish, clock.time())
def test_open_zipDefault(self):
with temporary_dir() as tempdir:
with open_zip(os.path.join(tempdir, 'test'), 'w') as zf:
self.assertTrue(zf._allowZip64)
def test_open_zipTrue(self):
with temporary_dir() as tempdir:
with open_zip(os.path.join(tempdir, 'test'), 'w', allowZip64=True) as zf:
self.assertTrue(zf._allowZip64)
def test_open_zipFalse(self):
with temporary_dir() as tempdir:
with open_zip(os.path.join(tempdir, 'test'), 'w', allowZip64=False) as zf:
self.assertFalse(zf._allowZip64)
def test_stdio_as(self):
old_stdout, old_stderr, old_stdin = sys.stdout, sys.stderr, sys.stdin
with stdio_as(stdout=1, stderr=2, stdin=3):
self.assertEquals(sys.stdout, 1)
self.assertEquals(sys.stderr, 2)
self.assertEquals(sys.stdin, 3)
self.assertEquals(sys.stdout, old_stdout)
self.assertEquals(sys.stderr, old_stderr)
self.assertEquals(sys.stdin, old_stdin)
def test_stdio_as_stdin_default(self):
old_stdout, old_stderr, old_stdin = sys.stdout, sys.stderr, sys.stdin
with stdio_as(stdout=1, stderr=2):
self.assertEquals(sys.stdout, 1)
self.assertEquals(sys.stderr, 2)
self.assertEquals(sys.stdin, old_stdin)
self.assertEquals(sys.stdout, old_stdout)
self.assertEquals(sys.stderr, old_stderr)
| 37.775281 | 100 | 0.674152 |
55e6a36a35dea42e8b1a9a12cac0fd42e73c1b3c | 282 | py | Python | mayan/apps/ocr/runtime.py | darrenflexxu/Mayan-EDMS | 6707365bfacd137e625ddc1b990168012246fa07 | [
"Apache-2.0"
] | null | null | null | mayan/apps/ocr/runtime.py | darrenflexxu/Mayan-EDMS | 6707365bfacd137e625ddc1b990168012246fa07 | [
"Apache-2.0"
] | 5 | 2021-03-19T22:59:52.000Z | 2022-03-12T00:13:16.000Z | mayan/apps/ocr/runtime.py | Sumit-Kumar-Jha/mayan | 5b7ddeccf080b9e41cc1074c70e27dfe447be19f | [
"Apache-2.0"
] | 1 | 2020-07-29T21:03:27.000Z | 2020-07-29T21:03:27.000Z | from __future__ import unicode_literals
from django.utils.module_loading import import_string
from .settings import setting_ocr_backend, setting_ocr_backend_arguments
ocr_backend = import_string(
dotted_path=setting_ocr_backend.value
)(**setting_ocr_backend_arguments.value)
| 28.2 | 72 | 0.861702 |
439c0eca1cb26c8b930b0560c63b48fd6ea73069 | 3,727 | py | Python | src/eval.py | jangirrishabh/look-closer | 91647b429a5e8f85fe29079035d4f51772df8382 | [
"MIT"
] | 15 | 2022-01-20T01:04:35.000Z | 2022-01-29T09:30:50.000Z | src/eval.py | jangirrishabh/look-closer | 91647b429a5e8f85fe29079035d4f51772df8382 | [
"MIT"
] | 1 | 2022-03-24T23:44:11.000Z | 2022-03-27T21:59:24.000Z | src/eval.py | jangirrishabh/look-closer | 91647b429a5e8f85fe29079035d4f51772df8382 | [
"MIT"
] | 1 | 2022-01-29T09:30:50.000Z | 2022-01-29T09:30:50.000Z | import torch
import torchvision
import os
import numpy as np
import gym
import utils
from copy import deepcopy
#from tqdm import tqdm
from arguments import parse_args
from env.wrappers import make_env
from algorithms.factory import make_agent
from video import VideoRecorder
import augmentations
import cv2
def evaluate(env, agent, video, num_episodes, L, step, test_env=False, use_wandb=False):
episode_rewards = []
success_rate = []
for i in range(num_episodes):
obs, state = env.reset()
video.init(enabled=(i==0))
done = False
episode_reward = 0
while not done:
with torch.no_grad(), utils.eval_mode(agent):
action = agent.select_action(obs, state)
obs, state, reward, done, info = env.step(action)
video.record(env)
episode_reward += reward
if 'is_success' in info:
success = float(info['is_success'])
success_rate.append(success)
episode_rewards.append(episode_reward)
return np.nanmean(episode_rewards), np.nanmean(success_rate)
def main(args):
seed_rewards, seed_success = [], []
for s in range(args.num_seeds):
# Set seed
utils.set_seed_everywhere(args.seed + s)
if args.cameras==0:
cameras=['third_person']
elif args.cameras==1:
cameras=['first_person']
elif args.cameras==2:
cameras = ['third_person', 'first_person']
# Initialize environments
gym.logger.set_level(40)
env = make_env(
domain_name=args.domain_name,
task_name=args.task_name,
seed=args.seed+42,
episode_length=args.episode_length,
n_substeps=args.n_substeps,
frame_stack=args.frame_stack,
image_size=args.image_size,
mode=args.eval_mode,
cameras=cameras, #['third_person', 'first_person']
observation_type=args.observation_type,
action_space=args.action_space,
) if args.eval_mode is not None else None
dir_name = 'crossview_attention'
# Create working directory
work_dir = os.path.join(args.log_dir, args.domain_name+'_'+args.task_name, args.algorithm, args.exp_suffix, dir_name ,str(args.seed + s))
print('Working directory:', work_dir)
model_dir = utils.make_dir(os.path.join(work_dir, 'model'))
video_dir = utils.make_dir(os.path.join(work_dir, 'video'))
if not os.path.exists(os.path.join(model_dir, str(args.train_steps)+'.pt')):
print("Skipping evaluation for ", work_dir)
continue
video = VideoRecorder(video_dir if args.save_video else None, height=448, width=448)
print("working IDR", work_dir, args.log_dir, args.domain_name+'_'+args.task_name, args.algorithm, args.exp_suffix)
# Check if evaluation has already been run
results_fp = os.path.join(work_dir, args.eval_mode+'.pt')
assert not os.path.exists(results_fp), f'{args.eval_mode} results already exist for {work_dir}'
# Prepare agent
assert torch.cuda.is_available(), 'must have cuda enabled'
print('Observations:', env.observation_space.shape)
print('Action space:', f'{args.action_space} ({env.action_space.shape[0]})')
print("STATE ", env.state_space_shape)
agent = make_agent(
obs_shape=env.observation_space.shape,
state_shape=env.state_space_shape,
action_shape=env.action_space.shape,
args=args
)
agent = torch.load(os.path.join(model_dir, str(args.train_steps)+'.pt'))
agent.train(False)
print(f'\nEvaluating {work_dir} for {args.eval_episodes} episodes (mode: {args.eval_mode})')
reward, success_rate = evaluate(env, agent, video, args.eval_episodes, args.eval_mode, args.image_size)
print('Reward:', int(reward))
print('Success Rate:', success_rate)
seed_rewards.append(int(reward))
seed_success.append(success_rate)
print('Average Reward over all the seeds:', int(np.nanmean(seed_rewards)), np.nanmean(seed_success))
if __name__ == '__main__':
args = parse_args()
main(args)
| 31.584746 | 139 | 0.739469 |
7c9a26712758be449f96c7354f4c0c28955bb85a | 700 | py | Python | demo/demo_app/celery.py | jlmadurga/listenclosely | d6df9110c3ed6fd337e0236cccbe4d931bf217b0 | [
"BSD-3-Clause"
] | 7 | 2016-01-25T15:15:54.000Z | 2018-02-17T18:48:54.000Z | demo/demo_app/celery.py | jlmadurga/listenclosely | d6df9110c3ed6fd337e0236cccbe4d931bf217b0 | [
"BSD-3-Clause"
] | 3 | 2016-03-11T13:22:17.000Z | 2017-10-18T13:28:39.000Z | demo/demo_app/celery.py | jlmadurga/listenclosely | d6df9110c3ed6fd337e0236cccbe4d931bf217b0 | [
"BSD-3-Clause"
] | 3 | 2016-12-08T17:12:35.000Z | 2018-01-06T22:57:40.000Z | from __future__ import absolute_import
import os
from celery import Celery
from django.conf import settings
# set the default Django settings module for the 'celery' program.
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "demo_app.settings")
app = Celery('listenclosely')
# Using a string here means the worker will not have to
# pickle the object when using Windows.
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
import django
django.setup()
from listenclosely.celery import ListenCloselyAppStep
app.steps['worker'].add(ListenCloselyAppStep)
@app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))
| 28 | 68 | 0.797143 |
4f35f47ff4b0da2594c2c1aeb63b46f7236c3f9f | 12,353 | py | Python | tests/testflows/rbac/tests/syntax/create_row_policy.py | edani/ClickHouse | 17a8a4e9664fabed5b370b37e148139ba698acf5 | [
"Apache-2.0"
] | 18 | 2021-05-29T01:12:33.000Z | 2021-11-18T12:34:48.000Z | tests/testflows/rbac/tests/syntax/create_row_policy.py | edani/ClickHouse | 17a8a4e9664fabed5b370b37e148139ba698acf5 | [
"Apache-2.0"
] | 1 | 2020-03-26T01:50:51.000Z | 2020-03-26T01:50:51.000Z | tests/testflows/rbac/tests/syntax/create_row_policy.py | edani/ClickHouse | 17a8a4e9664fabed5b370b37e148139ba698acf5 | [
"Apache-2.0"
] | 2 | 2021-07-13T06:42:45.000Z | 2021-07-21T13:47:22.000Z | from contextlib import contextmanager
from testflows.core import *
import rbac.helper.errors as errors
from rbac.requirements import *
@TestFeature
@Name("create row policy")
@Args(format_description=False)
def feature(self, node="clickhouse1"):
"""Check create row policy query syntax.
```sql
CREATE [ROW] POLICY [IF NOT EXISTS | OR REPLACE] policy_name [ON CLUSTER cluster_name] ON [db.]table
[AS {PERMISSIVE | RESTRICTIVE}]
[FOR SELECT]
[USING condition]
[TO {role [,...] | ALL | ALL EXCEPT role [,...]}]
```
"""
node = self.context.cluster.node(node)
@contextmanager
def cleanup(policy, on="default.foo"):
try:
with Given(f"I ensure the row policy does not already exist on {on}"):
node.query(f"DROP ROW POLICY IF EXISTS {policy} ON {on}")
yield
finally:
with Finally(f"I drop the row policy on {on}"):
node.query(f"DROP ROW POLICY IF EXISTS {policy} ON {on}")
def create_policy(policy, on="default.foo"):
with Given(f"I ensure I do have policy {policy} on {on}"):
node.query(f"CREATE ROW POLICY OR REPLACE {policy} ON {on}")
try:
with Given("I have a table and some roles"):
node.query(f"CREATE TABLE default.foo (x UInt64, y String) Engine=Memory")
node.query(f"CREATE ROLE role0")
node.query(f"CREATE ROLE role1")
with Scenario("I create row policy with no options", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy0"):
with When("I create row policy"):
node.query("CREATE ROW POLICY policy0 ON default.foo")
with Scenario("I create row policy using short syntax with no options", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy1"):
with When("I create row policy short form"):
node.query("CREATE POLICY policy1 ON default.foo")
with Scenario("I create row policy that already exists, throws exception", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
policy = "policy0"
with cleanup(policy):
create_policy(policy)
with When(f"I create row policy {policy}"):
exitcode, message = errors.cannot_insert_row_policy(name=f"{policy} ON default.foo")
node.query(f"CREATE ROW POLICY {policy} ON default.foo", exitcode=exitcode, message=message)
del policy
with Scenario("I create row policy if not exists, policy does not exist", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_IfNotExists("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy2"):
with When("I create row policy with if not exists"):
node.query("CREATE ROW POLICY IF NOT EXISTS policy2 ON default.foo")
with Scenario("I create row policy if not exists, policy does exist", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_IfNotExists("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
policy = "policy2"
with cleanup(policy):
create_policy(policy)
with When(f"I create row policy {policy} with if not exists"):
node.query(f"CREATE ROW POLICY IF NOT EXISTS {policy} ON default.foo")
del policy
with Scenario("I create row policy or replace, policy does not exist", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Replace("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy3"):
with When("I create row policy with or replace"):
node.query("CREATE ROW POLICY OR REPLACE policy3 ON default.foo")
with Scenario("I create row policy or replace, policy does exist", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Replace("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
policy = "policy3"
with cleanup(policy):
create_policy(policy)
with When(f"I create row policy {policy} with or replace"):
node.query(f"CREATE ROW POLICY OR REPLACE {policy} ON default.foo")
del policy
with Scenario("I create row policy as permissive", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Access_Permissive("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy4"):
with When("I create row policy as permissive"):
node.query("CREATE ROW POLICY policy4 ON default.foo AS PERMISSIVE")
with Scenario("I create row policy as restrictive", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Access_Restrictive("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy5"):
with When("I create row policy as restrictive"):
node.query("CREATE ROW POLICY policy5 ON default.foo AS RESTRICTIVE")
with Scenario("I create row policy for select", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_ForSelect("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_Condition("1.0")]):
with cleanup("policy6"):
with When("I create row policy with for select"):
node.query("CREATE ROW POLICY policy6 ON default.foo FOR SELECT USING x > 10")
with Scenario("I create row policy using condition", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Condition("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy6"):
with When("I create row policy with condition"):
node.query("CREATE ROW POLICY policy6 ON default.foo USING x > 10")
with Scenario("I create row policy assigned to one role", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy7"):
with When("I create row policy for one role"):
node.query("CREATE ROW POLICY policy7 ON default.foo TO role0")
with Scenario("I create row policy to assign to role that does not exist, throws exception", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment("1.0")]):
role = "role2"
with cleanup("policy8a"):
with Given(f"I drop {role} if it exists"):
node.query(f"DROP ROLE IF EXISTS {role}")
with Then(f"I create a row policy, assign to role {role}, which does not exist"):
exitcode, message = errors.role_not_found_in_disk(name=role)
node.query(f"CREATE ROW POLICY policy8a ON default.foo TO {role}", exitcode=exitcode, message=message)
del role
with Scenario("I create row policy to assign to all excpet role that does not exist, throws exception", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment("1.0")]):
role = "role2"
with cleanup("policy8a"):
with Given(f"I drop {role} if it exists"):
node.query(f"DROP ROLE IF EXISTS {role}")
with Then(f"I create a row policy, assign to all except role {role}, which does not exist"):
exitcode, message = errors.role_not_found_in_disk(name=role)
node.query(f"CREATE ROW POLICY policy8a ON default.foo TO ALL EXCEPT {role}", exitcode=exitcode, message=message)
del role
with Scenario("I create row policy assigned to multiple roles", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy8b"):
with When("I create row policy for multiple roles"):
node.query("CREATE ROW POLICY policy8b ON default.foo TO role0, role1")
with Scenario("I create row policy assigned to all", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment_All("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy9"):
with When("I create row policy for all"):
node.query("CREATE ROW POLICY policy9 ON default.foo TO ALL")
with Scenario("I create row policy assigned to all except one role", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment_AllExcept("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy10"):
with When("I create row policy for all except one"):
node.query("CREATE ROW POLICY policy10 ON default.foo TO ALL EXCEPT role0")
with Scenario("I create row policy assigned to all except multiple roles", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment_AllExcept("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy11"):
with When("I create row policy for all except multiple roles"):
node.query("CREATE ROW POLICY policy11 ON default.foo TO ALL EXCEPT role0, role1")
with Scenario("I create row policy assigned to none", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_Assignment_None("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with cleanup("policy11"):
with When("I create row policy for none"):
node.query("CREATE ROW POLICY policy11 ON default.foo TO NONE")
with Scenario("I create row policy on cluster", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_OnCluster("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
try:
with When("I run create row policy command on cluster"):
node.query("CREATE ROW POLICY policy12 ON CLUSTER sharded_cluster ON default.foo")
finally:
with Finally("I drop the row policy from cluster"):
node.query("DROP ROW POLICY IF EXISTS policy12 ON default.foo ON CLUSTER sharded_cluster")
with Scenario("I create row policy on fake cluster, throws exception", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_OnCluster("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
with When("I run create row policy command"):
exitcode, message = errors.cluster_not_found("fake_cluster")
node.query("CREATE ROW POLICY policy13 ON CLUSTER fake_cluster ON default.foo", exitcode=exitcode, message=message)
with Scenario("I create row policy on cluster after table", flags=TE, requirements=[
RQ_SRS_006_RBAC_RowPolicy_Create_OnCluster("1.0"),
RQ_SRS_006_RBAC_RowPolicy_Create_On("1.0")]):
try:
with When("I run create row policy command on cluster"):
node.query("CREATE ROW POLICY policy12 ON default.foo ON CLUSTER sharded_cluster")
finally:
with Finally("I drop the row policy from cluster"):
node.query("DROP ROW POLICY IF EXISTS policy12 ON default.foo ON CLUSTER sharded_cluster")
finally:
with Finally("I drop the table and the roles"):
node.query(f"DROP TABLE IF EXISTS default.foo")
node.query(f"DROP ROLE IF EXISTS role0, role1") | 54.902222 | 136 | 0.615235 |
da4d5a04e690c532a0a1d65bd78527ec520311d7 | 1,138 | py | Python | spacy/lang/lb/stop_words.py | ghollah/spaCy | 2d249a9502bfc5d3d2111165672d964b1eebe35e | [
"MIT"
] | null | null | null | spacy/lang/lb/stop_words.py | ghollah/spaCy | 2d249a9502bfc5d3d2111165672d964b1eebe35e | [
"MIT"
] | null | null | null | spacy/lang/lb/stop_words.py | ghollah/spaCy | 2d249a9502bfc5d3d2111165672d964b1eebe35e | [
"MIT"
] | null | null | null | # coding: utf8
from __future__ import unicode_literals
STOP_WORDS = set("""
a
à
äis
är
ärt
äert
ären
all
allem
alles
alleguer
als
also
am
an
anerefalls
ass
aus
awer
bei
beim
bis
bis
d'
dach
datt
däin
där
dat
de
dee
den
deel
deem
deen
deene
déi
den
deng
denger
dem
der
dësem
di
dir
do
da
dann
domat
dozou
drop
du
duerch
duerno
e
ee
em
een
eent
ë
en
ënner
ëm
ech
eis
eise
eisen
eiser
eises
eisereen
esou
een
eng
enger
engem
entweder
et
eréischt
falls
fir
géint
géif
gëtt
gët
geet
gi
ginn
gouf
gouff
goung
hat
haten
hatt
hätt
hei
hu
huet
hun
hunn
hiren
hien
hin
hier
hir
jidderen
jiddereen
jiddwereen
jiddereng
jiddwerengen
jo
ins
iech
iwwer
kann
kee
keen
kënne
kënnt
kéng
kéngen
kéngem
koum
kuckt
mam
mat
ma
mä
mech
méi
mécht
meng
menger
mer
mir
muss
nach
nämmlech
nämmelech
näischt
nawell
nëmme
nëmmen
net
nees
nee
no
nu
nom
och
oder
ons
onsen
onser
onsereen
onst
om
op
ouni
säi
säin
schonn
schonns
si
sid
sie
se
sech
seng
senge
sengem
senger
selwecht
selwer
sinn
sollten
souguer
sou
soss
sot
't
tëscht
u
un
um
virdrun
vu
vum
vun
wann
war
waren
was
wat
wëllt
weider
wéi
wéini
wéinst
wi
wollt
wou
wouhin
zanter
ze
zu
zum
zwar
""".split())
| 5.342723 | 39 | 0.793497 |
f406ed67ae1bdba2a4daf5449d45d32d7cf9eabb | 1,489 | py | Python | bot.py | Boundarybreaker/FakeArtistBot | 1bbb6bf82d1656430afe2a4ce3b9b553148fef04 | [
"MIT"
] | null | null | null | bot.py | Boundarybreaker/FakeArtistBot | 1bbb6bf82d1656430afe2a4ce3b9b553148fef04 | [
"MIT"
] | null | null | null | bot.py | Boundarybreaker/FakeArtistBot | 1bbb6bf82d1656430afe2a4ce3b9b553148fef04 | [
"MIT"
] | null | null | null | import discord
from discord import Message
import random
opted_in = []
class FakeArtBot(discord.Client):
async def on_message(self, message: Message):
if message.author == self.user:
return
if message.content.startswith('!fab optin'):
opted_in.append(message.author)
await message.channel.send('Opted in to Fake Artist Bot!')
if message.content.startswith('!fab optout'):
opted_in.remove(message.author)
await message.channel.send('Opted out of Fake Artist Bot!')
if message.content.startswith('!fab round '):
prompt = message.content[len('!fab round '):]
fake = random.choice(opted_in)
while fake == message.author:
fake = random.choice(opted_in)
for author in opted_in:
if author != fake and author != message.author:
dm = author.dm_channel
if dm is None:
await author.create_dm()
dm = author.dm_channel
await dm.send('You are an artist! Your prompt is: ' + prompt)
dm = fake.dm_channel
if dm is None:
await fake.create_dm()
dm = fake.dm_channel
await dm.send('You are the FAKE this round!')
await message.channel.send('The prompt has been sent out!')
client = FakeArtBot()
client.run(open('tokensecret.txt').read())
| 36.317073 | 81 | 0.568838 |
c091cfda73913191860c821a391b26807b814dfc | 1,581 | py | Python | utils/parser/planet/expression_clusters.py | legumeinfo/CoNekT | 709a4980cfa255cafd456b268e274db2b4b1f5fb | [
"MIT"
] | 14 | 2018-08-20T03:07:21.000Z | 2021-11-04T11:15:31.000Z | utils/parser/planet/expression_clusters.py | mutwil/CoNekT | f4a4496a87d14b15bcf587975b31a2edc24c6bf7 | [
"MIT"
] | 9 | 2018-07-17T15:30:47.000Z | 2021-07-05T13:11:54.000Z | utils/parser/planet/expression_clusters.py | mutwil/CoNekT | f4a4496a87d14b15bcf587975b31a2edc24c6bf7 | [
"MIT"
] | 3 | 2019-08-05T09:16:34.000Z | 2019-12-04T23:59:28.000Z | import csv
class Parser:
def __init__(self, ):
self.clusters = {}
def read_expression_clusters(self, network_file, cluster_file):
"""
Reads hrr and hcca file from the original PlaNet pipeline
ids are based on line number starting with 0 !
:param network_file: path to the file with the network (hrr)
:param cluster_file: path to the file with the clusters (hcca)
:return:
"""
id_to_probe = {}
# the network file is required for the mapping from numeric ids to gene ids
with open(network_file) as csvfile:
reader = csv.reader(csvfile, delimiter='\t')
for probe_id, parts in enumerate(reader):
# probe_id in this case is the line number (starting from zero)
probe = parts[0]
gene_id = parts[1]
id_to_probe[probe_id] = {}
id_to_probe[probe_id]['probe'] = probe
id_to_probe[probe_id]['gene'] = gene_id
with open(cluster_file) as csvfile:
reader = csv.reader(csvfile, delimiter='\t')
for parts in reader:
probe_id = int(parts[0])
cluster_id = parts[1]
if cluster_id not in self.clusters:
self.clusters[cluster_id] = []
if probe_id in id_to_probe.keys():
self.clusters[cluster_id].append({'probe': id_to_probe[probe_id]['probe'],
'gene': id_to_probe[probe_id]['gene']})
| 35.133333 | 94 | 0.55408 |
5a68c241476a145f12b58ae741f299fdec973e29 | 933 | py | Python | toontown/ai/DistributedPolarBearMgrAI.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/ai/DistributedPolarBearMgrAI.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/ai/DistributedPolarBearMgrAI.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from direct.directnotify import DirectNotifyGlobal
from direct.distributed.DistributedObjectAI import DistributedObjectAI
from toontown.toon.ToonDNA import ToonDNA
class DistributedPolarBearMgrAI(DistributedObjectAI):
notify = DirectNotifyGlobal.directNotify.newCategory("DistributedPolarBearMgrAI")
def requestPolarBearTransformation(self):
avId = self.air.getAvatarIdFromSender()
av = self.air.doId2do.get(avId)
if not av: return
if av.dna.getAnimal() == 'bear' and av.dna.headColor != 0x00:
newDNA = ToonDNA()
newDNA.makeFromNetString(av.getDNAString())
newDNA.headColor = 0x00
newDNA.armColor = 0x00
newDNA.legColor = 0x00
taskMgr.doMethodLater(1.0, lambda task: av.b_setDNAString(newDNA.makeNetString()), 'transform-%d' %avId)
self.sendUpdate('doPolarBearTransformation', [avId])
| 42.409091 | 116 | 0.689175 |
590d8de8bf744cdfaa4d9f3f82d36a9864edf3bf | 25,183 | py | Python | python/handler.py | kgladstone/thesis | 6e35fbd7c2cd08e868ce5c36cd64e8025c9e5f53 | [
"BSD-3-Clause"
] | null | null | null | python/handler.py | kgladstone/thesis | 6e35fbd7c2cd08e868ce5c36cd64e8025c9e5f53 | [
"BSD-3-Clause"
] | null | null | null | python/handler.py | kgladstone/thesis | 6e35fbd7c2cd08e868ce5c36cd64e8025c9e5f53 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Filename: handler.py
Author: Keith Gladstone
Description:
This file is the heart of the program
It handles all vehicle allocation and repositioning
Contains trip_buffer, trip_location_hash_table, etc.
"""
import csv
import sys
from collections import deque
from math import floor
from vehicle import Vehicle
import trip_ops
import generic_ops
import pixel_ops
import demand_learning
def local_demand_predictor(current_p, day, time_block, beliefs, local_demand_degree):
'''Determines optimal cardinal direction to move vehicle.'''
current_x, current_y = current_p
directional_demand = [0, 0, 0, 0] # right, up, left, down
target_pixel = [(current_x + 1, current_y),
(current_x, current_y + 1),
(current_x - 1, current_y),
(current_x, current_y - 1)]
superpixel = pixel_ops.get_superpixel_degree_n(current_p, local_demand_degree)
for city_pixel, pixel_demand in beliefs.iteritems():
if city_pixel in superpixel:
(pixel_x, pixel_y) = city_pixel
demand_value = pixel_demand[generic_ops.get_day_code(day)][time_block][0]
if pixel_x > current_x:
directional_demand[0] += demand_value
if pixel_y > current_y:
directional_demand[1] += demand_value
if pixel_x < current_x:
directional_demand[2] += demand_value
if pixel_y < current_y:
directional_demand[3] += demand_value
return target_pixel[max((v, i) for i, v in enumerate(directional_demand))[1]]
def handle_empty_repositioning(vehicles_log, time, beliefs, local_demand_degree):
'''Moves vehicle using LEVRS.'''
time_block = generic_ops.get_time_block_from_time(time)
day_of_week = generic_ops.get_day_of_week_from_time(time)
empty_vehicles = list()
for vehicle_id in vehicles_log:
vehicle = vehicles_log[vehicle_id]
last_pinged_time = vehicle.time_of_last_ping
if last_pinged_time < time:
empty_vehicles.append(vehicle)
if len(empty_vehicles) == 0:
return vehicles_log
for empty_vehicle in empty_vehicles:
current_loc = empty_vehicle.most_recently_pinged_location
incremental_reposition = local_demand_predictor(\
current_loc, day_of_week, time_block, beliefs, local_demand_degree)
vehicles_log[empty_vehicle.vehicle_id] = \
empty_vehicle.empty_reposition(time, incremental_reposition)
return vehicles_log
def initial_vehicle_log(trip_log, fleet_size):
'''Create the initial vehicles_log.'''
list_trip_log = generic_ops.list_from_dict(trip_log)
first_n_trips = list_trip_log[:fleet_size]
vehicles_log = dict()
vehicle_id = 0
for trip_id, trip in first_n_trips:
cumulative_person_miles = trip_ops.get_person_miles_of_joined_trip(trip_log, trip_id)
cumulative_vehicle_miles = trip_ops.get_vehicle_miles_of_joined_trip(trip_log, trip_id)
vehicle = Vehicle(\
vehicle_id,
[trip.trip_id],
0,
trip.dropoff_pixel,
trip.dropoff_time,
cumulative_person_miles,
cumulative_vehicle_miles\
)
vehicles_log[vehicle_id] = vehicle
vehicle_id += 1
return vehicles_log
def find_best_common_origin_seq(trip_list, max_circuity, max_stops):
'''Given a list of trips, find the best rideshared route.'''
path = pixel_ops.hamilton_of_trip_list(trip_list)[1]
distinct_stops = dict()
origin_pixel = path[0][0]
prev_destination = origin_pixel
circuity_distance = 0
# Check if every trip in path meets the max circuity constraint and max stops constraint
# If constraints are met then this should NOT return None
for pair in path[1:]:
destination_pixel = pair[0]
distinct_stops[destination_pixel] = True
if len(distinct_stops) > max_stops:
return None
direct_manhattan_distance = pixel_ops.manhattan_distance(origin_pixel, destination_pixel)
circuity_distance += pixel_ops.manhattan_distance(prev_destination, destination_pixel)
prev_destination = destination_pixel
if direct_manhattan_distance != 0:
ratio = 1.0 * circuity_distance / direct_manhattan_distance
if ratio > max_circuity:
return None
return path[1:]
def predispatched_trips(trip_log, trip_location_hash_table, pickup_pixel):
'''Get the predispatched trips from a certain pickup_pixel.'''
trip = list(trip_location_hash_table[pickup_pixel])[-1][1]
return trip_ops.get_all_joined_trips(trip_log, trip.trip_id)
def optimal_route(trip, trip_log, trip_location_hash_table,
pickup_pixel, constraints):
'''Get the optimal route of rideshared trips'''
optimal_preorder = predispatched_trips( \
trip_log, trip_location_hash_table, pickup_pixel)
optimal_preorder += [trip]
optimal_order = find_best_common_origin_seq(optimal_preorder,
constraints['max_circuity'],
constraints['max_stops'])
return optimal_order
def sync_joined_trips(trip_log, trip_id, dispatch_time):
'''Sync the data for rideshared trips.'''
trip = trip_ops.get_trip(trip_log, trip_id)
vehicle_id = trip.vehicle_id
joined_trip_id = trip.joined_trip_id
pickup_location = trip.pickup_pixel
trip.pickup_time = dispatch_time
time_elapsed = pixel_ops.time_of_travel(pickup_location, trip.dropoff_pixel)
trip.dropoff_time = dispatch_time + time_elapsed
# For each subsequent trip, update the time elapsed to reach destination
# Update the vehicle id
while True:
joined_trip = trip_ops.get_trip(trip_log, joined_trip_id)
time_elapsed += pixel_ops.time_of_travel(trip.dropoff_pixel, joined_trip.dropoff_pixel)
joined_trip = joined_trip.set_actual_t(dispatch_time, dispatch_time + time_elapsed)
joined_trip = joined_trip.set_vehicle(vehicle_id)
trip_id = joined_trip_id
joined_trip_id = joined_trip.joined_trip_id
if joined_trip_id == trip_id:
break
return trip_log
def send_vehicle_for_this_request(trip_log, trip_id, vehicle_info, vehicles_log, constraints):
'''Assign vehicle to trip request.'''
departure_delay = constraints['departure_delay']
assert(vehicle_info is not None), "Vehicle Info is None"
vehicle_id = vehicle_info['vehicle_id']
time_delay = vehicle_info['time_delay']
# Update vehicle ID
trip = trip_ops.get_trip(trip_log, trip_id)
trip.vehicle_id = vehicle_id
# Update trip's time delay
trip = trip.increase_time_delay(max(time_delay, departure_delay))
# Update trip log
trip_log[trip_id] = trip
# Update vehicle log accordingly
vehicles_log[vehicle_id].add_trip_to_schedule(trip) # this causes absurd scale
return trip_log, vehicles_log
def get_vehicles_latest_trips(vehicles_log):
'''Get the latest scheduled location and time of all vehicles.'''
vehicle_locations = dict()
for vehicle in vehicles_log.values():
vehicle_locations[vehicle.vehicle_id] = \
(vehicle.most_recently_pinged_location, vehicle.time_of_last_ping)
return vehicle_locations
def vehicle_min_arrival_time(trip_log, trip_id, vehicles_log):
'''Get the vehicle that will arrive soonest for trip_id.'''
vehicles_latest_trips = get_vehicles_latest_trips(vehicles_log)
trip = trip_ops.get_trip(trip_log, trip_id)
request_time = trip.pickup_request_time
# Get the vehicle that can arrive soonest (with travel estimate)
closest_vehicle_info = None
min_time = sys.maxint
for vehicle_id, (pre_repositioned_location, pre_repositioned_time) \
in vehicles_latest_trips.items():
travel_time = pixel_ops.time_of_travel(pre_repositioned_location, trip.pickup_pixel)
# Vehicle is already there, use it
if travel_time == 0.0:
return (vehicle_id, pre_repositioned_location, 0.0)
time_vehicle_would_arrive = \
max(pre_repositioned_time, request_time) + travel_time
if time_vehicle_would_arrive < min_time:
min_time = time_vehicle_would_arrive
time_delay = time_vehicle_would_arrive - request_time
assert(time_delay >= 0), \
"""
Time Delay is negative: %s
Trip: %s
Pre Repositioned Time: %s
Pre Repositioned Location: %s
Request Time: %s
Travel Time: %s
Time Vehicle Would Arrive Here: %s
""" % (str(time_delay),
str(trip.__dict__),
str(pre_repositioned_time),
str(pre_repositioned_location),
str(request_time),
str(travel_time),
str(time_vehicle_would_arrive))
closest_vehicle_info = {"vehicle_id" : vehicle_id,
"pre_repositioned_location" : pre_repositioned_location,
"time_delay" : time_delay}
assert(min_time != sys.maxint), "Closest Vehicle not selected"
return closest_vehicle_info
def get_vehicle_for_this_trip(trip_log, trip_id, vehicles_log):
'''Get the vehicle to be assigned for this trip.'''
vehicle = vehicle_min_arrival_time(trip_log, trip_id, vehicles_log)
return vehicle
def do_request_new_vehicle(trip_log, trip_id, vehicles_log,
constraints, trip_buffer, trip_location_hash_table):
'''Request a new vehicle for this trip, handle info'''
# Helper variables
trip = trip_ops.get_trip(trip_log, trip_id)
pickup_pixel, dropoff_pixel = (trip.pickup_pixel, trip.dropoff_pixel)
# Need to a request a new vehicle for this trip
# (1) Identify which vehicle is needed
# (2) Update data structures to link this trip request to that vehicle and "send vehicle"
vehicle_for_this_trip = get_vehicle_for_this_trip(trip_log, trip_id, vehicles_log)
trip_log, vehicles_log = send_vehicle_for_this_request(trip_log, trip_id,
vehicle_for_this_trip,
vehicles_log, constraints)
# We want to put this trip, therefore, in the trip fulfillment queue and location dict
trip_buffer = generic_ops.deque_put_in_place(trip_buffer, (trip, trip.pickup_time))
trip_location_hash_table[pickup_pixel].append((dropoff_pixel, trip))
return trip_log, vehicles_log
def is_this_vehicles_latest_loc(trip_log, vehicles_log,
trip_location_hash_table, pickup_pixel):
'''Is the vehicle's latest scheduled trip the latest trip scheduled at this pickup pixel?'''
if len(trip_location_hash_table[pickup_pixel]) == 0:
return False
the_trip_scheduled_from_this_origin = trip_location_hash_table[pickup_pixel][-1]
trip = the_trip_scheduled_from_this_origin[1]
last_common_origin_trip = trip_ops.get_last_joined_trip(trip_log, trip.trip_id)
vehicle_id = last_common_origin_trip.vehicle_id
the_latest_trip_scheduled_with_this_vehicle = vehicles_log[vehicle_id].latest_trip
return str(the_latest_trip_scheduled_with_this_vehicle) == str(trip.trip_id)
def get_joined_trip_occupants(trip_legs):
'''Get the number of total occupants for all trip legs of a rideshared trip'''
total = 0
for trip_leg in trip_legs:
total += trip_leg.occupancy
return total
def common_origin_validation(trip_location_hash_table, trip_log,
vehicles_log, new_trip_request, constraints):
'''Run the common origin validation process'''
vehicle_size = constraints['vehicle_size']
request_new_vehicle = True
optimal_order = None
pickup_pixel = new_trip_request.pickup_pixel
there_exists_undispatched_vehicle_from_this_origin = \
len(trip_location_hash_table[pickup_pixel]) > 0
# If there exists a vehicle from this origin
if there_exists_undispatched_vehicle_from_this_origin:
# This is the Greedy Common Origin Trip Sender
# If the vehicle's latest undispatched trip is not from this origin,
# then request a new vehicle
if not is_this_vehicles_latest_loc(trip_log,
vehicles_log,
trip_location_hash_table,
pickup_pixel):
request_new_vehicle = True
else:
# Get pickup time of the trip
first_leg_of_trip_here = list(trip_location_hash_table[pickup_pixel])[0][1]
if new_trip_request.pickup_request_time > first_leg_of_trip_here.pickup_time:
request_new_vehicle = True
else:
# SUBJECT TO vehicle_size CONSTRAINT
current_joined_trip = [that_trip[1] \
for that_trip \
in list(trip_location_hash_table[pickup_pixel])]
current_vehicle_occupancy = get_joined_trip_occupants(current_joined_trip)
vehicle_would_exceed_capacity = \
current_vehicle_occupancy + new_trip_request.occupancy > vehicle_size
if vehicle_would_exceed_capacity:
request_new_vehicle = True
else:
# SUBJECT TO MAX CIRCUITY AND MAX STOPS CONSTRAINTS
optimal_order = optimal_route(new_trip_request,
trip_log,
trip_location_hash_table,
pickup_pixel,
constraints)
request_new_vehicle = optimal_order is None
return request_new_vehicle, optimal_order
def resequence_joined_trip_ids(trip_log, ordered_joined_trips):
'''Resync joined trip ids'''
for i in range(0, len(ordered_joined_trips) - 1):
trip = ordered_joined_trips[i]
trip.joined_trip_id = ordered_joined_trips[i + 1].trip_id
last_trip = ordered_joined_trips[-1]
last_trip.joined_trip_id = last_trip.trip_id
return trip_log
def greedy_common_origin_scheduler(trip_log, vehicles_log, trip_location_hash_table,
trip_buffer, new_trip_request, optimal_order):
'''Run Greedy Common Origin Strategy heuristic'''
pickup_pixel = new_trip_request.pickup_pixel
optimal_order_CO_destinations = [trip[1] for trip in optimal_order]
new_first_trip_of_route = optimal_order_CO_destinations[0]
scheduled_trip_from_this_origin = list(trip_location_hash_table[pickup_pixel])[-1][1]
pickup_time = scheduled_trip_from_this_origin.pickup_time
vehicle_id = scheduled_trip_from_this_origin.vehicle_id
trip_log = resequence_joined_trip_ids(trip_log, optimal_order_CO_destinations)
vehicles_log[vehicle_id] = \
vehicles_log[vehicle_id].replace_last_trip(new_first_trip_of_route)
new_trip_request.set_vehicle(vehicle_id)
sync_joined_trips(trip_log, new_first_trip_of_route.trip_id, pickup_time)
generic_ops.deque_replace(trip_buffer,
(scheduled_trip_from_this_origin, pickup_time),
(new_first_trip_of_route, pickup_time))
trip_location_hash_table[pickup_pixel].popleft()
trip_location_hash_table[pickup_pixel].append((optimal_order[0][0], new_first_trip_of_route))
return trip_log, vehicles_log, trip_location_hash_table
def process_request(trip_log, trip, vehicles_log,
constraints, trip_location_hash_table, trip_buffer):
'''Run the general process for a single trip request'''
greedy = constraints['greedy_common_origin']
request_new_vehicle = True # default true, but turn false if vehicle is available
# Helper variables
new_trip_request = trip
pickup_pixel = new_trip_request.pickup_pixel
# If the origin point has NOT been accounted for yet then set it up as
# an empty deque of destination points
if pickup_pixel not in trip_location_hash_table.keys():
trip_location_hash_table[pickup_pixel] = deque()
# Determine whether to request new vehicle or not
request_new_vehicle, optimal_order = common_origin_validation(\
trip_location_hash_table, trip_log, vehicles_log, new_trip_request, constraints)
# HACK: to make sure that pickup_request time is not after pickup time
if optimal_order is not None:
pickup_pixel = new_trip_request.pickup_pixel
new_first_trip_of_route = optimal_order[0][1]
scheduled_trip_from_this_origin = list(trip_location_hash_table[pickup_pixel])[-1][1]
pickup_time = scheduled_trip_from_this_origin.pickup_time
if new_first_trip_of_route.pickup_request_time > pickup_time:
request_new_vehicle = True
# Request a vehicle from the fleet
if request_new_vehicle:
trip_log, vehicles_log = \
do_request_new_vehicle(trip_log,
trip.trip_id,
vehicles_log,
constraints,
trip_buffer,
trip_location_hash_table)
# Enter RIDESHARE process
# Greedy Heuristic
else:
if greedy:
trip_log, vehicles_log, trip_location_hash_table = \
greedy_common_origin_scheduler(trip_log,
vehicles_log,
trip_location_hash_table,
trip_buffer,
new_trip_request,
optimal_order)
return trip_log, vehicles_log
def handle_requests_at_this_time(trip_log, vehicles_log,
requests, constraints,
trip_location_hash_table, trip_buffer, beliefs):
'''Run the processes for all requests in this batch'''
list_of_trip_requests_now = requests
for trip in list_of_trip_requests_now:
trip_log[trip.trip_id] = trip
trip_log, vehicles_log = process_request(trip_log,
trip,
vehicles_log,
constraints,
trip_location_hash_table,
trip_buffer)
if int(constraints['freq_levrs']) != 0:
betas = {'initial' : constraints['initial_beta'], 'obs' : constraints['beta_obs']}
beliefs = demand_learning.update_belief_model(trip, beliefs, betas)
return trip_log, vehicles_log, beliefs
def clear_trips_for_dispatch(trip_log, dispatch_time, vehicles_log,
trip_location_hash_table,
trip_buffer, dict_writer):
'''Send dispatched files to output, remove from data structures'''
if len(trip_buffer) < 1:
return trip_location_hash_table, trip_buffer
while len(trip_buffer) > 0:
next_to_dispatch_trip, next_to_dispatch_pickup_time = trip_buffer[0]
if floor(next_to_dispatch_pickup_time) <= floor(dispatch_time):
pickup_pixel = next_to_dispatch_trip.pickup_pixel
vehicle_id = next_to_dispatch_trip.vehicle_id
vehicles_log[vehicle_id].cumulative_person_miles += \
trip_ops.get_person_miles_of_joined_trip(trip_log, next_to_dispatch_trip.trip_id)
vehicles_log[vehicle_id].cumulative_vehicle_miles += \
trip_ops.get_vehicle_miles_of_joined_trip(trip_log, next_to_dispatch_trip.trip_id)
all_joined_trips = trip_ops.get_all_joined_trips(trip_log,
next_to_dispatch_trip.trip_id)
for that_trip in all_joined_trips:
assert(that_trip.valid()), "Trip being written is invalid" # this needs to be true
dict_writer.writerow(that_trip.__dict__)
del trip_log[that_trip.trip_id]
trip_buffer.popleft()
trip_location_hash_table[pickup_pixel].popleft()
else:
break
return
def receive_requests_now(reader, time, rollover_request):
'''Listen for requests at this time from the stream'''
if rollover_request is None:
requests_now = list()
else:
requests_now = [rollover_request]
while True:
try:
next_line = reader.next()
trip = trip_ops.process_cleaned_trip(next_line)
if trip.pickup_request_time > time:
return requests_now, trip
else:
requests_now.append(trip)
except StopIteration:
return None, None
def handle_all_trip_requests(constraints):
'''Main function'''
fleet_size = constraints['fleet_size']
beliefs = constraints['beliefs']
local_demand_degree = constraints['local_demand_degree']
freq_levrs = int(constraints['freq_levrs'])
cleaned_filepath = generic_ops.cleaned_fp(constraints['raw'])
result_filepath = generic_ops.results_fp(constraints['raw'], constraints['index'])
#-------------------------------------------------------- START READER OPS
inputfile = open(cleaned_filepath, 'rb')
reader = csv.DictReader(inputfile)
initial_trip_log = trip_ops.read_n_cleaned_trips(reader, fleet_size)
#-------------------------------------------------------- END READER OPS
#-------------------------------------------------------- START WRITER OPS
open(result_filepath, 'w').close() # reset the output file
outputfile = open(result_filepath, 'wa')
keys = initial_trip_log.values()[0].__dict__.keys()
dict_writer = csv.DictWriter(outputfile, keys)
dict_writer.writeheader()
for trip in initial_trip_log.values():
dict_writer.writerow(trip.__dict__)
#-------------------------------------------------------- END WRITER OPS
# trip_location_hash_table is a data structure that is a dict of trip origin points,
# each origin point contains a list of trips scheduled to leave from that point,
# represented solely by the trip that is the first-stop of that trip
# trip_buffer is a double-queue data structure that enqueues requests as they come in
# and dequeues them when they are dispatched.
# trip_log is a dict that is synced with the trip_buffer,
# contains more detailed info about trips
trip_location_hash_table = dict()
trip_buffer = deque()
# Transform Trip Log to Be Index By Vehicle ID
vehicles_log = initial_vehicle_log(initial_trip_log, fleet_size)
# Get time of last initial pickup request
start_time = initial_trip_log.values()[-1].pickup_request_time
# Clear this variable to save memory
initial_trip_log = None
trip_log = dict()
time = start_time
rollover_request = None
while True:
requests, rollover_request = receive_requests_now(reader, time, rollover_request)
# There are no incoming trip requests or trips left to dispatch. End Loop
if requests is None and len(trip_buffer) == 0:
break
# There are trip requests this turn. Process them.
if requests is not None and len(requests) >= 0:
trip_log, vehicles_log, beliefs = \
handle_requests_at_this_time(trip_log,
vehicles_log,
requests,
constraints,
trip_location_hash_table,
trip_buffer,
beliefs)
counter = 0
for pickup_pixel in trip_location_hash_table:
counter += len(trip_location_hash_table[pickup_pixel])
# Clear trips ready for dispatch at this time
clear_trips_for_dispatch(trip_log,
vehicles_log,
constraints,
trip_location_hash_table,
trip_buffer,
dict_writer)
# LEVRS Handling
if freq_levrs != 0 and time % freq_levrs == 0:
vehicles_log = \
handle_empty_repositioning(vehicles_log, time, beliefs, local_demand_degree)
time += 1 # next iteration of time
outputfile.close()
assert(len(trip_log) == 0), "There were %s undispatched trips." % (str(len(trip_log)))
return vehicles_log
| 43.796522 | 98 | 0.64611 |
5425fffd8331989c35a30d693f02eab6c527b178 | 842 | py | Python | modules/helpers/resubscription.py | BatedUrGonnaDie/salty_bot | f8ad53fdd865762225de49164400db33fae8ba85 | [
"MIT"
] | 12 | 2015-01-16T16:48:30.000Z | 2020-08-11T20:11:51.000Z | modules/helpers/resubscription.py | BatedUrGonnaDie/salty_bot | f8ad53fdd865762225de49164400db33fae8ba85 | [
"MIT"
] | 28 | 2015-01-28T10:54:51.000Z | 2018-04-10T19:06:34.000Z | modules/helpers/resubscription.py | BatedUrGonnaDie/salty_bot | f8ad53fdd865762225de49164400db33fae8ba85 | [
"MIT"
] | 4 | 2015-07-13T08:41:32.000Z | 2019-01-12T16:19:01.000Z | #! /usr/bin/env python3.7
ON_ACTION = "USERNOTICE"
def call(salty_inst, c_msg, balancer, **kwargs):
if not c_msg["tags"] and c_msg["tags"]["msg-id"] == "resub":
return False, "Message is not a resubscription."
if not salty_inst.config["settings"]["sub_message_active"]:
return False, "Resubscription messages are off."
if not salty_inst.config["settings"]["sub_message_resub"]:
return False, "Resubscription message is blank."
if int(c_msg["tags"]["room-id"]) != salty_inst.config["twitch_id"]:
return False, "Resubscription is for hosted channel."
msg = salty_inst.config["settings"]["sub_message_resub"]
msg = msg.replace("$subscriber", c_msg["tags"]["display-name"])
msg = msg.replace("$duration", "{0} months".format(c_msg["tags"]["msg-param-months"]))
return True, msg
| 42.1 | 90 | 0.667458 |
ce229d2494d427ff35435c41a3a724fb0e844456 | 5,760 | py | Python | main/data_collector.py | syxu828/Graph2Seq-0.1 | 36e38f755c0ee390735e49121259151da54bcc1c | [
"Apache-2.0"
] | 24 | 2018-11-04T17:16:52.000Z | 2022-01-06T12:34:49.000Z | main/data_collector.py | syxu828/Graph2Seq-0.1 | 36e38f755c0ee390735e49121259151da54bcc1c | [
"Apache-2.0"
] | 3 | 2018-12-09T00:31:36.000Z | 2020-07-29T06:21:51.000Z | main/data_collector.py | syxu828/Graph2Seq-0.1 | 36e38f755c0ee390735e49121259151da54bcc1c | [
"Apache-2.0"
] | 4 | 2019-01-09T06:44:41.000Z | 2019-08-04T07:55:00.000Z | import numpy as np
import json
import configure as conf
from collections import OrderedDict
def read_data(input_path, word_idx, if_increase_dict):
seqs = []
graphs = []
if if_increase_dict:
word_idx[conf.GO] = 1
word_idx[conf.EOS] = 2
word_idx[conf.unknown_word] = 3
with open(input_path, 'r') as f:
lines = f.readlines()
for line in lines:
line = line.strip()
jo = json.loads(line, object_pairs_hook=OrderedDict)
seq = jo['seq']
seqs.append(seq)
if if_increase_dict:
for w in seq.split():
if w not in word_idx:
word_idx[w] = len(word_idx) + 1
for id in jo['g_ids_features']:
features = jo['g_ids_features'][id]
for w in features.split():
if w not in word_idx:
word_idx[w] = len(word_idx) + 1
graph = {}
graph['g_ids'] = jo['g_ids']
graph['g_ids_features'] = jo['g_ids_features']
graph['g_adj'] = jo['g_adj']
graphs.append(graph)
return seqs, graphs
def vectorize_data(word_idx, texts):
tv = []
for text in texts:
stv = []
for w in text.split():
if w not in word_idx:
stv.append(word_idx[conf.unknown_word])
else:
stv.append(word_idx[w])
tv.append(stv)
return tv
def cons_batch_graph(graphs):
g_ids = {}
g_ids_features = {}
g_fw_adj = {}
g_bw_adj = {}
g_nodes = []
for g in graphs:
ids = g['g_ids']
id_adj = g['g_adj']
features = g['g_ids_features']
nodes = []
# we first add all nodes into batch_graph and create a mapping from graph id to batch_graph id, this mapping will be
# used in the creation of fw_adj and bw_adj
id_gid_map = {}
offset = len(g_ids.keys())
for id in ids:
id = int(id)
g_ids[offset + id] = len(g_ids.keys())
g_ids_features[offset + id] = features[str(id)]
id_gid_map[id] = offset + id
nodes.append(offset + id)
g_nodes.append(nodes)
for id in id_adj:
adj = id_adj[id]
id = int(id)
g_id = id_gid_map[id]
if g_id not in g_fw_adj:
g_fw_adj[g_id] = []
for t in adj:
t = int(t)
g_t = id_gid_map[t]
g_fw_adj[g_id].append(g_t)
if g_t not in g_bw_adj:
g_bw_adj[g_t] = []
g_bw_adj[g_t].append(g_id)
node_size = len(g_ids.keys())
for id in range(node_size):
if id not in g_fw_adj:
g_fw_adj[id] = []
if id not in g_bw_adj:
g_bw_adj[id] = []
graph = {}
graph['g_ids'] = g_ids
graph['g_ids_features'] = g_ids_features
graph['g_nodes'] = g_nodes
graph['g_fw_adj'] = g_fw_adj
graph['g_bw_adj'] = g_bw_adj
return graph
def vectorize_batch_graph(graph, word_idx):
# vectorize the graph feature and normalize the adj info
id_features = graph['g_ids_features']
gv = {}
nv = []
word_max_len = 0
for id in id_features:
feature = id_features[id]
word_max_len = max(word_max_len, len(feature.split()))
word_max_len = min(word_max_len, conf.word_size_max)
for id in graph['g_ids_features']:
feature = graph['g_ids_features'][id]
fv = []
for token in feature.split():
if len(token) == 0:
continue
if token in word_idx:
fv.append(word_idx[token])
else:
fv.append(word_idx[conf.unknown_word])
for _ in range(word_max_len - len(fv)):
fv.append(0)
fv = fv[:word_max_len]
nv.append(fv)
nv.append([0 for temp in range(word_max_len)])
gv['g_ids_features'] = np.array(nv)
g_fw_adj = graph['g_fw_adj']
g_fw_adj_v = []
degree_max_size = 0
for id in g_fw_adj:
degree_max_size = max(degree_max_size, len(g_fw_adj[id]))
g_bw_adj = graph['g_bw_adj']
for id in g_bw_adj:
degree_max_size = max(degree_max_size, len(g_bw_adj[id]))
degree_max_size = min(degree_max_size, conf.sample_size_per_layer)
for id in g_fw_adj:
adj = g_fw_adj[id]
for _ in range(degree_max_size - len(adj)):
adj.append(len(g_fw_adj.keys()))
adj = adj[:degree_max_size]
g_fw_adj_v.append(adj)
# PAD node directs to the PAD node
g_fw_adj_v.append([len(g_fw_adj.keys()) for _ in range(degree_max_size)])
g_bw_adj_v = []
for id in g_bw_adj:
adj = g_bw_adj[id]
for _ in range(degree_max_size - len(adj)):
adj.append(len(g_bw_adj.keys()))
adj = adj[:degree_max_size]
g_bw_adj_v.append(adj)
# PAD node directs to the PAD node
g_bw_adj_v.append([len(g_bw_adj.keys()) for _ in range(degree_max_size)])
# ============== vectorize nodes info ====================
g_nodes = graph['g_nodes']
graph_max_size = 0
for nodes in g_nodes:
graph_max_size = max(graph_max_size, len(nodes))
g_node_v = []
for nodes in g_nodes:
mask = [1 for _ in range(len(nodes))]
for _ in range(graph_max_size - len(nodes)):
nodes.append(len(g_fw_adj.keys()))
mask.append(0)
nodes = nodes[:graph_max_size]
g_node_v.append(nodes)
gv['g_ids'] = graph['g_ids']
gv['g_nodes'] =np.array(g_node_v)
gv['g_bw_adj'] = np.array(g_bw_adj_v)
gv['g_fw_adj'] = np.array(g_fw_adj_v)
return gv
| 29.538462 | 124 | 0.55191 |
b1883ab49ea3180eb89628df04429fcae34dcc43 | 785,241 | py | Python | simhash/simcache.py | GitHub-ZuoWei/simhash | 31115126cc12781093c0145a6203f7989a210f91 | [
"Apache-2.0"
] | 26 | 2016-07-12T07:25:39.000Z | 2021-08-18T09:39:28.000Z | simhash/simcache.py | GitHub-ZuoWei/simhash | 31115126cc12781093c0145a6203f7989a210f91 | [
"Apache-2.0"
] | null | null | null | simhash/simcache.py | GitHub-ZuoWei/simhash | 31115126cc12781093c0145a6203f7989a210f91 | [
"Apache-2.0"
] | 16 | 2015-11-24T01:30:46.000Z | 2021-07-29T01:27:28.000Z | SIMCACHE = {
'a': 0x0cc175b9c0f1b6a831c399e269772661,
'b': 0x92eb5ffee6ae2fec3ad71c777531578f,
'c': 0x4a8a08f09d37b73795649038408b5f33,
'd': 0x8277e0910d750195b448797616e091ad,
'e': 0xe1671797c52e15f763380b45e841ec32,
'f': 0x8fa14cdd754f91cc6554c9e71929cce7,
'g': 0xb2f5ff47436671b6e533d8dc3614845d,
'h': 0x2510c39011c5be704182423e3a695e91,
'i': 0x865c0c0b4ab0e063e5caa3387c1a8741,
'j': 0x363b122c528f54df4a0446b6bab05515,
'k': 0x8ce4b16b22b58894aa86c421e8759df3,
'l': 0x2db95e8e1a9267b7a1188556b2013b33,
'm': 0x6f8f57715090da2632453988d9a1501b,
'n': 0x7b8b965ad4bca0e41ab51de7b31363a1,
'o': 0xd95679752134a2d9eb61dbd7b91c4bcc,
'p': 0x83878c91171338902e0fe0fb97a8c47a,
'q': 0x7694f4a66316e53c8cdd9d9954bd611d,
'r': 0x4b43b0aee35624cd95b910189b3dc231,
's': 0x03c7c0ace395d80182db07ae2c30f034,
't': 0xe358efa489f58062f10dd7316b65649e,
'u': 0x7b774effe4a349c6dd82ad4f4f21d34c,
'v': 0x9e3669d19b675bd57058fd4664205d2a,
'w': 0xf1290186a5d0b1ceab27f4e77c0c5d68,
'x': 0x9dd4e461268c8034f5c8564e155c67a6,
'y': 0x415290769594460e2e485922904f345d,
'z': 0xfbade9e36a3f36d3d676c1b808451dd7,
'aa': 0x4124bc0a9335c27f086f24ba207a4912,
'ba': 0x07159c47ee1b19ae4fb9c40d480856c4,
'ca': 0x5435c69ed3bcc5b2e4d580e393e373d3,
'da': 0x5ca2aa845c8cd5ace6b016841f100d82,
'ea': 0x5b344ac52a0192941b46a8bf252c859c,
'fa': 0x89e6d2b383471fc370d828e552c19e65,
'ga': 0x32d7508fe69220cb40af28441ef746d9,
'ha': 0x925cc8d2953eba624b2bfedf91a91613,
'ia': 0xb40788f566d1124a95169068077031a9,
'ja': 0xa78c5bf69b40d464b954ef76815c6fa0,
'ka': 0x2c68e1d50809e4ae357bcffe1fc99d2a,
'la': 0xc9089f3c9adaf0186f6ffb1ee8d6501c,
'ma': 0xb74df323e3939b563635a2cba7a7afba,
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'fm': 0x0ab34ca97d9946591bf89817789cb5de,
'gm': 0x92073d2fe26e543ce222cc0fb0b7d7a0,
'hm': 0x2ab5564b805d8065f4bcf81060472746,
'im': 0x73bebce395b6f1efedcf6842fbdb4d76,
'jm': 0x3da770cc56ed4407b6aaf10ad4e72b4d,
'km': 0x9b05de73d43f8c4ec1110c6bcc5312bc,
'lm': 0x192292e35fbe73f6d2b8d96bd1b6697d,
'mm': 0xb3cd915d758008bd19d0f2428fbb354a,
'nm': 0x93122a9e4abcba124d5a7d4beaba3f89,
'om': 0xd58da82289939d8c4ec4f40689c2847e,
'pm': 0x5109d85d95fece7816d9704e6e5b1279,
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'tm': 0x6a962563e235e1789e663e356ac8d9e4,
'um': 0x0dd00e33b6fc67b811ebe3177217d6c0,
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'xm': 0x8f0168b67e1484c7d4e363b9f091ed2f,
'ym': 0xcdcdb3bf0e1b87bf97d1a198210bef3b,
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'an': 0x18b049cc8d8535787929df716f9f4e68,
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'en': 0x9cfefed8fb9497baa5cd519d7d2bb5d7,
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'hn': 0x59ca4f8bbb9713c2eb59db115fcdb664,
'in': 0x13b5bfe96f3e2fe411c9f66f4a582adf,
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'kn': 0x8c7e6965b4169689a88b313bbe7450f9,
'ln': 0xf8e19f449f17c9d37dcc93dd244ec3bb,
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'eo': 0x504332760740d229cd79cadd87588941,
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'ko': 0xed73f6b46391b95e1d03c6818a73b8b9,
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'no': 0x7fa3b767c460b54a2be4d49030b349c7,
'oo': 0xe47ca7a09cf6781e29634502345930a7,
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'to': 0x01b6e20344b68835c5ed1ddedf20d531,
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'zo': 0x2ff603c183a026bf9b67b1033c52ae2b,
'ap': 0x62c428533830d84fd8bc77bf402512fc,
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'cp': 0x9c95319bf274672d6eae7eb97c3dfda5,
'dp': 0x95687afb5d9a2a9fa39038f991640b0c,
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'fp': 0x0666f0acdeed38d4cd9084ade1739498,
'gp': 0x5343b21ad303bf1799629894deca13db,
'hp': 0xd2ccda10db94c2b5d51beed10484c025,
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'kp': 0x26b568e4192a164d5b3eacdbd632bc2e,
'lp': 0x351325a660b25474456af5c9a5606c4e,
'mp': 0x1f2dfa567dcf95833eddf7aec167fec7,
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'qp': 0x8266bb21c655c9dc496209b9f8bac19a,
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'tp': 0x3817848ef191468810fc4b1cfc855ba1,
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'yp': 0x67eac626e305b9eb386e58f87aea582a,
'zp': 0x2d0fe97bc66105c6ab33f8a01899faf6,
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'bq': 0x52196aa54f1674f9ecbf26439c42c763,
'cq': 0x1c29ac0ab69660bfc944d1a913ecda64,
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'eq': 0xdf22f17124884fc51f1ac69d610096ac,
'fq': 0x62702f7e0146e07253d89a8260e7393b,
'gq': 0xb84a1ed8db3d3bf378f49becdea153b2,
'hq': 0x25906028d04ba0563447f41dccb3c4cf,
'iq': 0x795237fd9d107e63cd19b0db0f2fba2f,
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'nq': 0x0cbe44e34ea1eaf8ee7aad7f7f60e337,
'oq': 0x0055c74f1290ce6b3a53db095bec1fbd,
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'qq': 0x099b3b060154898840f0ebdfb46ec78f,
'rq': 0xc6d8c86cf807f3f3b38850342d1531b3,
'sq': 0x4bc92a7aeb9478e6bf3f989025232b22,
'tq': 0x2de9a7563091ed8aa3a8926550555790,
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'jr': 0xd5de679d452cb429e6f55e64a9988cbf,
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'sr': 0xe22428ccf96cda9674a939c209ad1000,
'tr': 0xe7d707a26e7f7b6ff52c489c60e429b1,
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'xr': 0x819b5fc4045d86661a3e630bd20fdec7,
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'ds': 0x522748524ad010358705b6852b81be4c,
'es': 0x12470fe406d44017d96eab37dd65fc14,
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'gs': 0x1d8d5e912302108b5e88c3e77fcad378,
'hs': 0x789406d01073ca1782d86293dcfc0764,
'is': 0xa2a551a6458a8de22446cc76d639a9e9,
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'rs': 0x3a2d7564baee79182ebc7b65084aabd1,
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'ts': 0x4d682ec4eed27c53849758bc13b6e179,
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'zs': 0xf6706d5db3ad094cfabd8fb5326f1eec,
'at': 0x7d0db380a5b95a8ba1da0bca241abda1,
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'dt': 0x3017d911efceb27d1de6a92b70979795,
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'jt': 0xcd4d776e159510e486116827b80d0368,
'kt': 0x06e336587b9034e8e5aae7cc19bd9b6a,
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'mt': 0x710998fd1b7c0235170265650770a4b1,
'nt': 0x25930e3036f13852cb0b29694bbab611,
'ot': 0x15773549ac72a773120e125f74b04393,
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'st': 0x627fcdb6cc9a5e16d657ca6cdef0a6bb,
'tt': 0xaccc9105df5383111407fd5b41255e23,
'ut': 0xb1a5d251fa4fe598cb947ffc42b9cbed,
'vt': 0xd0ff1d6e7b3a288b592bf0a59f54e712,
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'xt': 0xd45b8ce98dfa91f53bed90f775e1cb94,
'yt': 0xfa0ed5b5c600145bdd9a299952b99651,
'zt': 0xe86bdd5d8908079d1ed4c06015f37eb0,
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'du': 0x13a014cb9de9f7cad88d5dafb70ecb41,
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'tu': 0xb6b4ce6df035dcfaa26f3bc32fb89e6a,
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'vu': 0x0730b75e96c0453b1b196be7ff4fa194,
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'yu': 0x385d04e7683a033fcc6c6654529eb7e9,
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'dv': 0x80457cf3a7b15afb8f491f8ae06680db,
'ev': 0x3cf804e7182ab12879c33c914e1c5cd8,
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'hv': 0x4a5b47e079da271df772b75bb8e5164d,
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'jv': 0x6af057782fede733cab8d3e0bccd8737,
'kv': 0x82d09147453d572bc287f74aad062cfa,
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'mv': 0x94d035945b3d82182669c4d3f6daa104,
'nv': 0xf9eab7a52fbda6f4788f438ba1a8da94,
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'pv': 0x99bea2cd698b56b1a3b8c1701bd51c67,
'qv': 0x919e190d3a24095d669e5bb66899abac,
'rv': 0x108bc7b6961e71b2e770387a378cbc10,
'sv': 0x743541121c12a113af807d1582c74bea,
'tv': 0xc9a1fdac6e082dd89e7173244f34d7b3,
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'wv': 0xd9215174d890de09724ab4a220378c35,
'xv': 0x22654d2ed4c921c7bceb22ce9f9dc892,
'yv': 0x8dab6f55935a6c4f4defd27af1602905,
'zv': 0x1202c3368211b76b7ed0894740f39068,
'aw': 0xb787d22d9cb06342658bf546039117bc,
'bw': 0x823355b63ab3af0a0e4d1367e89abd1c,
'cw': 0x0707ba092e91260b305c326e6a353593,
'dw': 0x1f2121f36f817bd18540e5fa7de06f59,
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'fw': 0x8f51ef3b9040a527832bebba66e286ac,
'gw': 0x3f071f4f163d68551f4fc1544c7f69a6,
'hw': 0x65c2a3d77127c15d068dec7e00e50649,
'iw': 0x856d3eb283c3bc43b95ba734a3e794f1,
'jw': 0x17f931f4c13d4983a77fe59dfe349e3e,
'kw': 0x048685d96262085442a1d5bb4a14bc3b,
'lw': 0x2cbd51a920e3394891fef99b965518d3,
'mw': 0x38fed7107cee058098ca06304c1beb90,
'nw': 0x6a814fdcdf0ea6037af96b3de6f17750,
'ow': 0x617a4046ef07a0d9851942247a994cf9,
'pw': 0x8fe4c11451281c094a6578e6ddbf5eed,
'qw': 0x006d2143154327a64d86a264aea225f3,
'rw': 0x038c0dc8a958ffea17af047244fb6960,
'sw': 0x43b36d42e7f8e60be58ba4356b6af40c,
'tw': 0x255a5cac7685572274d02f04c37be771,
'uw': 0x3eae63594a41739e87141e8333d15f73,
'vw': 0x7336a2c49b0045fa1340bf899f785e70,
'ww': 0xad57484016654da87125db86f4227ea3,
'xw': 0xe4ff879f8b6e0f69b62d913d4017e004,
'yw': 0x0e2124e8c659542fe830c3131799765c,
'zw': 0xa1555463c361e7036a274a8b44e29192,
'ax': 0x9cea1e2473aaf49955fa34faac95b3e7,
'bx': 0x6f5770d50b01a0abbce803768d3592b0,
'cx': 0x0bdff8095c8bf1b38775bf35547a1317,
'dx': 0xacd2b09d39705a84bff035c18c9faea9,
'ex': 0x54d54a126a783bc9cba8c06137136943,
'fx': 0xc3f9558d681bac963339b7c69894c4f7,
'gx': 0xf30a3c3a3b53f23827e6c35fdeb1dcb2,
'hx': 0x302b1c28b9cecf53829fc094a68c02ca,
'ix': 0x799904b20f1174f01c0d2dd87c57e097,
'jx': 0x71e4d0554bb5f5c000c0c9aadaa525d6,
'kx': 0x7cd783981c6e1d370e89a87ea7f609f1,
'lx': 0x8037ccea85006fee74f58f86edf1788e,
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'uia': 0x0ac523c830311ec879bde6de29892f2d,
'via': 0x14f1f9729a8142e82600dac241e82fe2,
'wia': 0xfab1fc07a47dcae18e4fb42c9818a3a8,
'xia': 0x5919baeb013e60e75e0dbed4d758c924,
'yia': 0x6d2a3195b653b3733332f924dc05e152,
'zia': 0x1c283511f251260283ed04ef8ba7cc30,
'aja': 0xc3b830f9a769b49d3250795223caad4d,
'bja': 0x067417d89f2062c097a013257f2ccfad,
'cja': 0xc335b2ac4ebd1f75f7fb9c13248ba624,
'dja': 0xaa939d032327c8399cf2851d5b0201ed,
'eja': 0xf71924e84caae58443187fb52d13a2b3,
'fja': 0xc54a9ffb595e73efcf71be90ef933010,
'gja': 0x4efcffb38d23496439b3b9137d3fefb1,
'hja': 0x165d3bd8c1ab8dd124bfdd87788de5c6,
'ija': 0x991deb2f730e82bd01e740824e582bbb,
'jja': 0x7c8dc285ae485badc1fbbe5724fd30e2,
'kja': 0xf2da9b062b9592c9d495c7472a6fb353,
'lja': 0x864be8de9f6b7d4869f5ca277ab141aa,
'mja': 0x6514927a1e4398391231ff89bbf29ebf,
'nja': 0x2651ffca2c67ab6e2caa19df3180affb,
'oja': 0x3995e138e4bfad1dc7c5a338b29ac36e,
'pja': 0x987441489448315a28f6ec74ef7d07f2,
'qja': 0x59500454d66cf0d1e09d96be3099def1,
'rja': 0x8be5bfc579d8899f696ff9010c0ebda2,
'sja': 0x2bdef5c1ab8238c2763572541e8e4242,
'tja': 0x082ac35b22127e4c8b014f88d00b4fe0,
'uja': 0x0027c294cb1cf95345a32db4d8f0a6f0,
'vja': 0xa65861bca16cf86cc76d3e29dfea171d,
'wja': 0xd63af2b51b30a86997654bc25b790a1d,
'xja': 0x2c7134ba0514a42ed7a9e3526b271ef1,
'yja': 0x04a40fb978490192d165157812013e0c,
'zja': 0xea850fc5c7783f5d198d76b96643d02c,
'aka': 0x6ac933301a3933c8a22ceebea7000326,
'bka': 0xa490f4603f1c324a2d9df42eccff0308,
'cka': 0x73857270a45511c0544273cd857f7fa1,
'dka': 0xd2dbaaa22bdcd248e204d35988de0eb5,
'eka': 0x79ee82b17dfb837b1be94a6827fa395a,
'fka': 0xfd69d7591e0029c680293e6fac145500,
'gka': 0x22e76792d78232a2c8c17d1887b7aa9d,
'hka': 0x072099bc020246168cbf4a35d1577a66,
'ika': 0x7965c82127bd8517d2495e8efb12702c,
'jka': 0xe8721d0d4aff8f7016b5256fa599a608,
'kka': 0xec7b078a5b8df149983c1210d4a1b1db,
'lka': 0xecc56555a7e9afabd5b5ff2d89e2c566,
'mka': 0x1060ba6003deea144f45d83024e32d5c,
'nka': 0xc4ba6610f5f3b1227a570a14211e7961,
'oka': 0xdcf80b2416ca823e8d807558a9310eb3,
'pka': 0x5645b5fed5b225565098970916e64308,
'qka': 0x411ba092fc2e5fe822b11b6629edc922,
'rka': 0x07e65cb618872a025b26d305f54ca419,
'ska': 0xa4ce5a98a8950c04a3d34a2e2cb8c89f,
'tka': 0x88a8688467442cb6ed8d560b22d35430,
'uka': 0xaa512dae234a1a0e530d0b117861a144,
'vka': 0xa2a92cf644f2b2a112dc44495aaaaacc,
'wka': 0xb6d85ac643c8152e2affa81b6812e0dc,
'xka': 0x6ba426ce4a8ab6bed1647460ed06fa1d,
'yka': 0x2afda183994ab01cf765d2c5e789a3bf,
'zka': 0x235001bbd4d40d94516466f524746aa8,
'ala': 0xe88e6128e26eeff4daf1f5db07372784,
'bla': 0x128ecf542a35ac5270a87dc740918404,
'cla': 0x6aed0145209e439b6b6dc4b365c22c2b,
'dla': 0xe31ef344d4472e8505c7d76e564ba0b9,
'ela': 0x8100240622c5494b0cb9086f15957813,
'fla': 0x61894b21be75260c4964065b1eecec4d,
'gla': 0xf79d4ab46ae52104064d2e12db4c693d,
'hla': 0x6228e72c78f1a20ef3286f3c108be197,
'ila': 0xaafe26449a364e5d6b5db7dc565a9b6a,
'jla': 0x993dbdc52dca0569d202046cdf74a33d,
'kla': 0x7ea7c353b208662f23649d5f4ef33a4b,
'lla': 0x7f3650f4ac0901d47ca7320f070abd5b,
'mla': 0x2c3009dcb3fd706d91dfa18c34c26a59,
'nla': 0xf30fa14283b8150e3fa3bdcccd0e8cb8,
'ola': 0x2fe04e524ba40505a82e03a2819429cc,
'pla': 0xbf688cefd04199b5dff3abe33ceafb28,
'qla': 0xa7a5854b03bae691ac93a4fcdfa294aa,
'rla': 0x845028346281f7429577a349ea768503,
'sla': 0xe3e48b96d966dee1b5cccdbc9d6f6d43,
'tla': 0xe28dfc6b390a6ce981c1bbf47bd481f9,
'ula': 0x43cb6ab4a042b281ac5067a4cfc7ecfb,
'vla': 0xad518e14544446337ca18e4280d10a4b,
'wla': 0xf33224cb1386999b3baa9b061d30fb5f,
'xla': 0x5fbb749495aca62d3021ace190a1d246,
'yla': 0xd1b77e7c9fcb1eef213bb018bf8e3fca,
'zla': 0x932b6435102f6b20578d5cad668b4e5f,
'ama': 0xe292b1d68c8b480c49074ff1b6e266b8,
'bma': 0x8b5a8249e2f9e52091111410b9ed47a3,
'cma': 0xa1f64bc3bec340545184ca0c623e87b8,
'dma': 0x695578cfd3a6c798fefb9d3f475360ba,
'ema': 0x93bdb73b49e88b5ce23da0509da1b8ac,
'fma': 0x8c1b768340dffcaf747fd0acc98f0ce5,
'gma': 0xb4e79da81d560a825aa84272706a14df,
'hma': 0x011e592469e4c74ebb562f6ce07e14da,
'ima': 0x92bfd5bc53a4bdbd7b8c9f8bc660cc14,
'jma': 0xafc5f575731b57ff981a3033dcb512bf,
'kma': 0x4f835cb6af6698d2a8b237aa551a9d2e,
'lma': 0x27fcdc3c74ff7291a0c2f320757eb9d5,
'mma': 0xa9f9d8d4b6db81aed3933664f7352542,
'nma': 0xcbb02a875149b15d815f41d950830627,
'oma': 0xb0891cf08f8898a6ef98113245db8595,
'pma': 0x93d1079ff7f02a00da860903e955eed2,
'qma': 0xd55a846668c619aa4316320efc041429,
'rma': 0xa1eff01a6862aea0d5237eb513a378d3,
'sma': 0xa289fa4252ed5af8e3e9f9bee545c172,
'tma': 0xd6e1ca84308e59169ffc76620d290136,
'uma': 0x18f8891c64e402460381ae66774c94bd,
'vma': 0xc9313f396c87916123195658d36b5666,
'wma': 0x8176c7ce9fff11522b8fec1ecf898c82,
'xma': 0xddec1a6f6c9bbb718b983cbd31805648,
'yma': 0x8b63717f41414625d114d4e3a24c60bb,
'zma': 0x5d6a014b5fa3eb17d321783a287b5ee4,
'ana': 0x276b6c4692e78d4799c12ada515bc3e4,
'bna': 0x6c71f7070bd6c069a04e6d2586167e93,
'cna': 0xad6ea016c8dc36a14dd38e0c34e00153,
'dna': 0x5427e0bf847d7c379a1d2e09a0b45f8a,
'ena': 0x3f265375ee4fb99f2439f3759683b34f,
'fna': 0x708c050046fdce4b72a273c8bbdb5129,
'gna': 0x96dad5d07b7bddf9db9b3028d3eabaff,
'hna': 0xe91ee5d0cc7a921ac694b81803a2b4ef,
'ina': 0xa0fb2daa33c637d078d1d276dd453ea2,
'jna': 0x3a0db73a2ddfb1407f91056cdd8d7901,
'kna': 0x33258a06996ce09e40d31b7f67632d79,
'lna': 0xed2180c7423b7a52afc60c54fe925d2e,
'mna': 0xf0c99833955f0b0b95ce5d606faf2b01,
'nna': 0xf03e861e125cde73d89a30e4b557035a,
'ona': 0x030c76e4f0ed31202379e6df29def1d6,
'pna': 0x346878f486bf0650da4ef183d234f963,
'qna': 0x0aca5e4bf1dcdfb3dcb779be1cd2a71d,
'rna': 0xb320e7dbc758cba6483981eb83c9d7d7,
'sna': 0xbc55acef201a54c7ce2b6ba390600b80,
'tna': 0x48b3942971d1b0c849f62cab16c0acd8,
'una': 0x85758590dcd56f1d170e55f224f36e54,
'vna': 0x941d403e8fad42d6b80b50fe93e00710,
'wna': 0x9684740bc7eb345289edd3f910f58ef8,
'xna': 0xf9af043363f7bb0620ad0bd5b0ccbb3b,
'yna': 0x3b12a7cf550a6c6bf771718ea17465e8,
'zna': 0x60dba8dedc1435a71fba121eb6272652,
'aoa': 0x0eca4c01b672b215d24286d8e4fdcb32,
'boa': 0x8f45bc0c88a6585e27e0cc00a195d936,
'coa': 0xf488bcd7dab5a39e0142f2bd2202232c,
'doa': 0xb8179081fe590f6fc3ca56d8752fc6f8,
'eoa': 0x9452fe2431035cbe8318eb141edef2d7,
'foa': 0x5e0044cac10e3398ba9e0ee859efdbe8,
'goa': 0xe16b5217b914f52573520276064c17fb,
'hoa': 0x9810784ce10b72a1ef2f50bc5fec59ba,
'ioa': 0x4e130dd75e6b4201fac605cc6c995950,
'joa': 0xd015f798339be173f48c84896bd4a355,
'koa': 0x4568514dc71a3ef3d5be2271e9690a70,
'loa': 0x99f6f9353fb42e260a8def4e4e0af2ca,
'moa': 0xa7cc11decf703bbefa04be14514e469e,
'noa': 0x4b96fc21160c8ab5279ac7a3b31e4d49,
'ooa': 0xd2cf24470577806460f4f91e114c4f8e,
'poa': 0x746d2b5777304b256688f7d103be2fdf,
'qoa': 0x886ef608acfa7bf93a930dcd411f08c5,
'roa': 0xe369a11be98d27959eb08fd9feae567e,
'soa': 0xa39d8591483b67fb637bb445f9f4f059,
'toa': 0x937dbb9a0118d36e0a642441a8ba71f7,
'uoa': 0x843ad255f7f28ce9f2e892d957c4c90a,
'voa': 0x74e2f2d6103a5516a4496613d855da65,
'woa': 0x1c75db904e88b36c5e37a380acbffaef,
'xoa': 0x7af1ee4382584b0c081517da6bf450a3,
'yoa': 0x210a87f10da02742af346d566b94d9ea,
'zoa': 0x07bc5279da369d7becd5e8c8b7b7680c,
'apa': 0xe03ae33ee8417ce2c9785274217636e0,
'bpa': 0xbf5a3e6f4cd73cc97e3862d4369bb723,
'cpa': 0xf114427f29d0fa635781f1cc950e138e,
'dpa': 0xc158bdf0ab5c8f438db524ef4afcce23,
'epa': 0xce78245903fb761004056961dda3d017,
'fpa': 0xb43aef660c537b30557b09f6b151a95a,
'gpa': 0x3adb2063b16ca4e9e066ccf897e4a0b1,
'hpa': 0xefb87b1a67e11246e20b6294869903e1,
'ipa': 0xae3272062ae7edb666e8dd33eda728be,
'jpa': 0xf0b4a299c45171493ae3215d69d9b0a6,
'kpa': 0x5dcbbc877e9955e3b29d7ca0baa4c7c4,
'lpa': 0x58abb759e5602eec30e9e8ac773f9bc9,
'mpa': 0x5b4c600517d35939b9922164e8efd1c8,
'npa': 0xa3a6d5d9147cdc16e2f95cd43e79dc89,
'opa': 0xaadb97a59c56040772603c597490d729,
'ppa': 0x8a2a05a31e5a5c8aba63195cb7132fca,
'qpa': 0x86151b642f9822634af2c9b5c8452231,
'rpa': 0x5c0334da46ba28753157144a8ea0cdbd,
'spa': 0xcc91e646ffef196e61f25dce2ada9ae5,
'tpa': 0xcd2408b273207043656ab23fd3c6c02a,
'upa': 0xbf0c6c092b1f9fa932742ee255ae463d,
'vpa': 0xa8f7322ae45832c000a01a321b57c5a6,
'wpa': 0x4e81b6d2a4ce5ef0cd29415e3e6dedd0,
'xpa': 0x0c9d64ab6a7deff485732471d721a73d,
'ypa': 0x3b0612e8dfee506be1510043771fcfe6,
'zpa': 0x3f5431b3f181809b58257ef124183408,
'aqa': 0xd0a483256bbd970137d8e1157293474f,
'bqa': 0xd5514057529b751a2849388077b41ad2,
'cqa': 0x9cc2dec6f91128a3df71561a33551b08,
'dqa': 0xe43c962d317cdc0058ab87c03fa11912,
'eqa': 0xf8338289f2de14ec4e2d7842d40fc84e,
'fqa': 0xc414c52958764e0e8c93ab28a7c848ba,
'gqa': 0x3e40296a811ef4bf983a964651b8d000,
'hqa': 0x6f7675d5328a1fec9752bff328bc03c8,
'iqa': 0xf6c34c4ced51254861caf631b19a64c2,
'jqa': 0x59a4067a2dbfe40179123b2a4c73355d,
'kqa': 0xd5a8617f643d7b3a844d0995308ace7a,
'lqa': 0xbe3436685b64af4869a81065ca440167,
'mqa': 0x5adbe17e432647f7091f6f923e5132bb,
'nqa': 0x9c7e985ef5e66769d90d82205ba457e7,
'oqa': 0xbba14927ce717656eb480c194b6d4495,
'pqa': 0xd74533bd609471244c92f1c5318065b0,
'qqa': 0x054b48c9bd2e8973a3feb8c4145d8897,
'rqa': 0x3c94488a57a14bbcfcabd4adcda1d8e8,
'sqa': 0x9f663cbeb192b2ea864ddc5560fb2e3b,
'tqa': 0x86667d0cd75cfa4126d7ed29eaa4c8ee,
'uqa': 0xfecb2eecfcfe0029af4a64f37c85f99f,
'vqa': 0xa8a268a79175bd44086fa556db60aded,
'wqa': 0x2a76230ba6c042409e5b010fcb5fc14b,
'xqa': 0x229384bb35869e6170194103e66bceb9,
'yqa': 0xca41412a11af34393e2a1ed7c00c48f8,
'zqa': 0x103ccba74d78db69a585a278f76c563c,
'ara': 0x636bfa0fb2716ff876f5e33854cc9648,
'bra': 0x3c6ab8c37ec264689cd0131c7014b99d,
'cra': 0x51f7b4150aece7d0f6d45d8f00b8184e,
'dra': 0xabe401b2190d257afecb3a17551ed5a9,
'era': 0xcf5c0a6a33f6f53bf10be6c527fe5c93,
'fra': 0xffe7470430a737c4ce6dc74bea0155d5,
'gra': 0x4a17b63dd19d308b9c8becf7699b6f22,
'hra': 0xb849ebfa6f27b964d744ea625ac48618,
'ira': 0x3c67080a1a09b022fb9d94e57a75ddad,
'jra': 0x7a573ccf96fc7bbc034dabf9f65618ef,
'kra': 0xd78406cbaeb5be8c2ef9dfca493dc55e,
'lra': 0xe88f7a44ba2cb99334a4ff74c823538f,
'mra': 0x86b546be98d8f58d4dedfb8be7423a19,
'nra': 0x34badf2232d503c520f55e3672f92ade,
'ora': 0xd41fe446faeb9c02909aa61b34736059,
'pra': 0x3c24ca7afbc8766f1acb7d67893ec16d,
'qra': 0x8ed9476ed643ddc7946b2d6c77ed3e25,
'rra': 0x105ca6d0fd6c2c3e136980d3548f16ab,
'sra': 0x861fa3a9748a5e58fc3a651a811b5cf9,
'tra': 0xcfac4e0dc47d98414cf373a2f09d28a1,
'ura': 0x50f3fca4c6134bd001fdfe3159686be9,
'vra': 0xbfb2e83645f8ff382621f512376a992a,
'wra': 0x957ba73c6f87488c744514c4c77bd5f2,
'xra': 0xd923d906582234f7da470514434fab8b,
'yra': 0x848460dd0c4abb93ed8a713952bbe50a,
'zra': 0x87484e2842b4fd7656b7a15a91dfb18e,
'asa': 0x457391c9c82bfdcbb4947278c0401e41,
'bsa': 0xdd43bc4306e23060fd3d63bb661bf837,
'csa': 0xfdcde0ec8cfe1e177670f658ae15721e,
'dsa': 0x5f039b4ef0058a1d652f13d612375a5b,
'esa': 0x80ad0b9fa48a74fe86a9c8ee665d96bb,
'fsa': 0x3c518eeb674c71b30297f072fde7eba5,
'gsa': 0x048a5aea0e0af68ca6782c2ec300a045,
'hsa': 0xf2cda8f6163c8e55da3dbbad2938df8c,
'isa': 0x165a1761634db1e9bd304ea6f3ffcf2b,
'jsa': 0x021e433027c8a6481bccc04d3cada47a,
'ksa': 0xac6e14b0130c885201d6cab30126ec06,
'lsa': 0x0869a9283df1d949c5c529286716e5ae,
'msa': 0xb9342a7d3a63c2b2d444dd9caf437f22,
'nsa': 0x8d2a959e6b154ec9215882b82f28cfcb,
'osa': 0x43f38d003c06cca6687b5991a52787c1,
'psa': 0xd894729d1f8f84d80fd1a92dd6362b44,
'qsa': 0x801311c256e9e5ef4b62bdac2617bd2c,
'rsa': 0xef31070d66440687a73beb6242f298bc,
'ssa': 0x541f98322eaea41f2b2e3d023972f098,
'tsa': 0x49bd32255ea98067c64c478ee9ed7c2b,
'usa': 0xada53304c5b9e4a839615b6e8f908eb6,
'vsa': 0x25495966f19c7964b40d534ec5fd73e1,
'wsa': 0x4bb0a250f62548654e50c3d29c4b6096,
'xsa': 0x7b9d411ce809327df3b08b9f9699f2f0,
'ysa': 0x3e91d1ef3fd99135835654c648d8ae95,
'zsa': 0x56a45d1808724e0c01beec74963ff22d,
'ata': 0x24accbed29ea007663fb3d7e5765f1c7,
'bta': 0x8e184b0ef18895917c660cdd5e2163af,
'cta': 0x06ce7d44db015c845227a378a79eeb60,
'dta': 0x36072180305f072a2e2c7ea96eedf034,
'eta': 0xeba021d91b44a97dec2588bbea58a447,
'fta': 0x19f67cceb7d8d80debb95aff727b7ff7,
'gta': 0xd81c52f524f6faf198b5daa2a865c2df,
'hta': 0x50f87878b588aa7186e5982f5c3ffb59,
'ita': 0x78b0fb7d034c46f13890008e6f36806b,
'jta': 0x4421e65dab4e5ee4a1a5615873a08253,
'kta': 0x44769ad2aea97161f74cca5dd270eee9,
'lta': 0x552f834475513dec120ca22769e1fe28,
'mta': 0xb29f179049415ccddf46387b3b1e7ad9,
'nta': 0xab233411eea3217f6a3179f0759d343d,
'ota': 0xd3a363c7c51059889755aeff86c24889,
'pta': 0x8001188526048445b80af464c1079577,
'qta': 0x9f74f6db6d9eae56b5e51001dc76436b,
'rta': 0xbbf5f25abf74a0e64a6fe2f281c1a30a,
'sta': 0x46f61ffbe2ea4a9a816195416e87d548,
'tta': 0x558db26005bad6c309fde7941dbec51b,
'uta': 0x5c04d53c23e881867ed63658d5388028,
'vta': 0x45fa6604868441858e37aa1661e3b306,
'wta': 0x20a549e584a4295360271c308dbc8446,
'xta': 0xd0d55bb957f2776d563853cb855f9557,
'yta': 0x9570b4b5a6dd818e933b966b52011536,
'zta': 0xd22dda71722d1e1d709d831c8ac8b757,
'aua': 0x9898681adbddbd61a17af9b0e957ccdc,
'bua': 0x01f0f7f2f372105175e9b578c2f33a78,
'cua': 0xc8520774f9240cfe9d240d2ee7b9fb1f,
'dua': 0xa319360336c8cac32102f4dffbee4260,
'eua': 0x4c2124bbb616e04baa88245b0c579623,
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'cva': 0x3d7c76317dc02619cbf97464f0541e8d,
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'lva': 0x6501b7cb5c6459fd043c781545020721,
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'lfb': 0x92618554dd03113e6d4640f5f6960a7e,
'mfb': 0x5a23b5cb0a0c78fce5059ac2c5300203,
'nfb': 0x54f5dec553ef14706a09367aa0cebdd2,
'ofb': 0xf6e813b13c74de318bc2addcca465ba7,
'pfb': 0x4d5363eee79c01dfd9e62ba9e35628d4,
'qfb': 0x75180542698a89dfd94f6d257907e99d,
'rfb': 0x6d9c4f18d7baab721e2505ed2d16c95f,
'sfb': 0x4baa53eaabdc41d95d3bcd0e7bbc9e00,
'tfb': 0xbe2f60aaf604c1135e78fcab62ae286c,
'ufb': 0x88966c145436d540d15e0d5b24cc34f9,
'vfb': 0x29a7e182cba11f4b154e066828b301ec,
'wfb': 0x11bca1205f262971df27a3a61a3e0982,
'xfb': 0xe154b41a7ce6436b87764339a457e303,
'yfb': 0xf4c176f49f2c265ebfd75a90b196d137,
'zfb': 0xe50dc4cfe80c4b2a7c97a28fdbd166b5,
'agb': 0x81dbb2912521f7be92dd1c59acbaabe8,
'bgb': 0x38b7e00f5ccce1bfce8a30d9cad5131d,
'cgb': 0xf25bfe14862a2c36681358bb5f175493,
'dgb': 0x54fd226a01b82a1152e63422011dd372,
'egb': 0xf0537a0f0d77c837f2340a2a87bad68b,
'fgb': 0xd436adeaeb56e877a12226260dede661,
'ggb': 0x3fa69470b134591a5eb1055f9ffc370a,
'hgb': 0xfd09e6f4a38b6706a8313b1c20be6ef7,
'igb': 0x93c535d1ec8718ae407e744a0fa219fd,
'jgb': 0xacbbd94e3c991ca7963f900075827846,
'kgb': 0xb973fd0a932188e9fe400c69b6c9e251,
'lgb': 0xfd48c03eaa6f667804f917b37f89aa30,
'mgb': 0xe759e9c488c8723b68ea06bb653710f1,
'ngb': 0x96f3b285db00fff30a9d13b5a854a484,
'ogb': 0xc72bbd7a58b688ca20ff662277cc4a9b,
'pgb': 0x5f8e18340de5bdb9323a50c308396dac,
'qgb': 0xd884d648d516cf92010e6d515a856467,
'rgb': 0xef70a6546536ccd835479f6cddc0188e,
'sgb': 0x7cad0a832170482243d4fa730891df94,
'tgb': 0xf3c99ce66588c1409e30ad6f285cf6ff,
'ugb': 0xae15fb3d979fe2d4cb1a88f274771c9f,
'vgb': 0xcb69a8474ec770b3f37ac7a3bbc7784c,
'wgb': 0x9c7a11c9b5b330666fb0e705bc484bb2,
'xgb': 0x35149171abd2d09e943c614f7ec497ec,
'ygb': 0x18a2feebcdbfcd8bbb415e00c1eeb167,
'zgb': 0x7a0882f9936336735810bce7abd2318a,
'ahb': 0xb2a49e1cb17f2009e9084f456b32fd26,
'bhb': 0xcf804892a4e29bca8794cbd5de0763ef,
'chb': 0x4ec595bc9758f0912ab381e09f1dc316,
'dhb': 0x00796a2e531674257dbd2e7b585b2d85,
'ehb': 0x2b8d41d9bcbdf9c7c8addee2f1986c6e,
'fhb': 0xf11cbe8c77522e0f10e915ebe8fc9672,
'ghb': 0xcdae1deab2b020069f7b85623de37b1d,
'hhb': 0xdd0f0ca53fb69ec148b25e6efecd9147,
'ihb': 0x9d0aed92469f2d5f48555fe8a44014c4,
'jhb': 0xb2dda5584633b3b563ba808a876f6b21,
'khb': 0xeeac000d9c76ff84b94086173175d0be,
'lhb': 0x63219fe1d371da290a49653a865342dd,
'mhb': 0xbc347ee45c43aa598ae41ff59dc05d1a,
'nhb': 0xa06d983f5e4a80847b4ce3fc94c38707,
'ohb': 0xb685594c6fbcc69ce76d144d67e1ae63,
'phb': 0xbe9c2182066724e4c47c0a9f1d071346,
'qhb': 0xfa902b4cbb1ae8d2f4271a063f9320ee,
'rhb': 0x614ed36f5bb78684aeb3af37882a187d,
'shb': 0x2048f3d022cfc420a189bce8c7c036ef,
'thb': 0x8ddcc3fe22e337df24c4a33f4cb12572,
'uhb': 0x4a3e3fcdc7f4ce9ea556def123092e70,
'vhb': 0x8598f7bcdd5c64fce9f341a2600b64cb,
'whb': 0x6a49da4427a77df9c4534d030ea393f1,
'xhb': 0x5cd9e8fec0b3da3b80dae458f8e7ca80,
'yhb': 0x6babdd4700daabcfe4e28b0013ea9f59,
'zhb': 0x0cf9d7a96ec513dd8e6901cd46d199b9,
'aib': 0x811d6697238feb092ee1332de0558987,
'bib': 0x3222ac28aca85b6a0437ff7907a8a06b,
'cib': 0x7cac1d663f25f868a31bc5bbaac658dd,
'dib': 0xbce0e8190c7756900674b5af659f723c,
'eib': 0xb0df40fdc5f3c1669c8dec97e53ce499,
'fib': 0x5c2debca3440487823ac27f9d7c75c4f,
'gib': 0x23fb72db1458cabd2df5d3c26c433698,
'hib': 0xcc2d8f4eec69d5e55bf47be13b0b499c,
'iib': 0xe50f3ed0fdbd841a8f3b0e0cbe81416f,
'jib': 0xda031fe481a93ac107a95a96462358f9,
'kib': 0x5e6ae87e920222829a027db150dc0629,
'lib': 0xe8acc63b1e238f3255c900eed37254b8,
'mib': 0xb5ec1a88f4e0fee94cb2288dd6e148aa,
'nib': 0x8fb92e021b0bd2f3a5c48c59aa996385,
'oib': 0xd70ab86933a51052c5352096d84e0d85,
'pib': 0x8903d70a4cc1be9f8f126572eb8e5a82,
'qib': 0xeebf4125b3818992ca5abccc3e35771e,
'rib': 0x5de560dfbd3111197969fd3b0e9f0d73,
'sib': 0xa444633d8cf456eeca3138c78f4ae12e,
'tib': 0x060b5f3c5859a1e1d6e9323ff6eeb143,
'uib': 0x07c6b98767324b9ead7cc1fd65436644,
'vib': 0x13bd47c9d1f9111eb63aceba3ce2b4d9,
'wib': 0x071f37dbd5c860f08a8910182708fdcb,
'xib': 0xed232678e9bb19dbaa8263aa25280888,
'yib': 0x065865553fac7af57d1e2c8b9e188726,
'zib': 0x882dd451c44e9aa20a02116669aec04d,
'ajb': 0x862c9944e2f0cd8cf0dbbde2ec0935d5,
'bjb': 0xaec0b5aa834040c150ce37d84e534465,
'cjb': 0x3ddeb3e0a97faa45c08caf3a8ebf64b2,
'djb': 0x6bb6375f029de73c885764af168aa42e,
'ejb': 0x5844a0924955c2f30eccbacb57e0f9f3,
'fjb': 0x29181f6746988e09476ef685a35b3e4e,
'gjb': 0xfe349e15030e362ce1ce8f2921ad143f,
'hjb': 0x707cc4e3b7a4d872fe19ee00797aa7b7,
'ijb': 0x76a760d5542038d26c86e4ac38a0cea4,
'jjb': 0xd254066903f175dafb5101f2cd3201d6,
'kjb': 0x4d7c1e1b16a4d890e4c3c344d9278e76,
'ljb': 0xfbd53658030ff55a3256970f1daf9ee9,
'mjb': 0x0b0ac86432b9a7ca7764c2423f1f494f,
'njb': 0xa6e42ffe204fc96b5dc73f15e70eb930,
'ojb': 0x1764d1354d062c5806d1bbff393455f1,
'pjb': 0x0199cb6ed2d8c3470b54af13c9464d3f,
'qjb': 0x2ab8ca71ba15cbb2bcfb94c7cea028a3,
'rjb': 0x962b79358b568c3f9105abe63530dc8b,
'sjb': 0x9071791b3ac926cffdb32147c75af7d6,
'tjb': 0x019da4dfe52d2dff25084e6713c919ec,
'ujb': 0x027e487c556461eb1ed9cd76b26d5102,
'vjb': 0xc8b58969960f24a451b3794370b45fdd,
'wjb': 0xa4f5805912261ff5b9c4c7ed1b427a83,
'xjb': 0x326e579c4b0cf03220fefbf6f8996d72,
'yjb': 0x7dd9c0bc1db72386fae827f651060854,
'zjb': 0x0da7246847bfd6c2498aa0ebb1bf4a48,
'akb': 0xcb879a4910b8a97da40e96e757d547b7,
'bkb': 0x0533e375b418201d9b9da9e90359b729,
'ckb': 0xfa075a987059a1e8a1f6b8bba8e177b0,
'dkb': 0x0292713f3bd713d65a596de9a449155f,
'ekb': 0xd3448954bdc7bda6f0072e32e3cf0b69,
'fkb': 0x26b351a6fb22ba9658978a4672049551,
'gkb': 0x890a11cedd5a4e7bfa76f9466ec0ffee,
'hkb': 0x2cc193f8e665e62b6829f948efa7c3f5,
'ikb': 0xc864d8e7463fcb6d9edfcd4ad049d3fd,
'jkb': 0x289b493e37f138db551ff62156baffa4,
'kkb': 0xb7ce7616ad0078889c45d6771679bb28,
'lkb': 0x4304de434a9f4f4cadd03a8af90cd8d0,
'mkb': 0x3a69e4a77f356ada9e1dc5f8ddc050d8,
'nkb': 0xdfd2dee5d38df1124f57e4d6e48647c7,
'okb': 0xc993c41c90c642e7eac223fa4e88a2ff,
'pkb': 0x06703e1d663511d5380317a577928805,
'qkb': 0x0e0c0e9213c8545f9b7329d9ad5c4a26,
'rkb': 0x8ac3c0fb799cea94e72ef6f016293954,
'skb': 0x98f58f428d0166d3cf6af2fad52e9a81,
'tkb': 0x71582b1219dfdc772e4499050a6cf4d4,
'ukb': 0x3686600a42081cde982980d670a5e12a,
'vkb': 0xecb57913f7931b5f7dc6b426d6d85163,
'wkb': 0x3dccb0570fe9df71b2f4d3968c0af69f,
'xkb': 0xd2e3de88632cfe181308485a440dc2ce,
'ykb': 0x1be867447da8631922ed9a2e5e66d711,
'zkb': 0xc163f84d3a85f9139e7ca18054ba863a,
'alb': 0x73717aafac1e7701dab0fa02b8936926,
'blb': 0x9eccbda89a0e7b95d8d16095afe2218c,
'clb': 0x4f380256e9b8b48d480d4049ec80003b,
'dlb': 0xf6e19ab7125909e3e3738201f6e3c861,
'elb': 0x44f831531f34241e2685b29a55747957,
'flb': 0xf6bd25c7523008386b3080a251572c6e,
'glb': 0xf9091f3defa83aede49cdf349390d0b3,
'hlb': 0xca7735b527e70831a62f6beeedc6bc98,
'ilb': 0xdfe738c1b4b99804b16c4f3675e779c5,
'jlb': 0xb8e238f58b51e2ca415f0312067360aa,
'klb': 0x2c9ddb2f945f2dd6f4edb0221e17408e,
'llb': 0xa0034567c70b255df7ff4e04046acb08,
'mlb': 0x89d021e682f117a6ff8e6fe859cdcc2d,
'nlb': 0x23ff7a047a16016d16c2996ab16eb0f4,
'olb': 0x450707c2a6f17c6ed39889e20f258661,
'plb': 0x4b4d251a7943a47874a3a06855007c65,
'qlb': 0x704d635a37ec52e615a7f9a3c8925d87,
'rlb': 0x1bf01ac5a2b91d7e52d80668adecb336,
'slb': 0x68117495c543ebf26f6b222b61c441a3,
'tlb': 0x3c77334c30fff8de20116851c36244a8,
'ulb': 0x3816f79d206e1e97037120a56abb4b1b,
'vlb': 0x8317cb563782565525365853248c884c,
'wlb': 0x08271d40b504f62761edd60e215491af,
'xlb': 0x022db96f2ffd89d86912950a81e65e41,
'ylb': 0x2dd1d3c8bd295f53e50c89b03034b8b1,
'zlb': 0x5f9256478845c9dbb59de62d06b0292c,
'amb': 0x4b2b6303956277ddfd7b8ea9cebb31db,
'bmb': 0x349dd279247a964d6e3a9fb1d0e7f30b,
'cmb': 0x4e40f1e5e85c99bdd50c4cff84838347,
'dmb': 0x16352f3da732a6b4cd7f6fcc29c80f81,
'emb': 0x210f1d561352e25f858a1f7ba74bc026,
'fmb': 0x3dc64ca6bc1478b4611a9bf69f91c46d,
'gmb': 0xc16a4ff65bafbe8631a5f01cc127b2d7,
'hmb': 0x1602a50164adec06d04456e24aa4ebd3,
'imb': 0x24c53af423bbfd119dc76b511bbeac41,
'jmb': 0xfefe4c60d912e295e59fd874577ca7f9,
'kmb': 0x1bc20b31d030790fd14ac28acc976491,
'lmb': 0xc349fba1221aa947f3977be278e3429e,
'mmb': 0x28fac7a1ac51976c90016509d97c89ba,
'nmb': 0x9da4fe1d789f1fcb4df20a7bead68115,
'omb': 0x8a3243988bc803427b10af7c0db0fc48,
'pmb': 0x9b4a840d790eadc71b9064c9a843719b,
'qmb': 0x522cddfd2a7889f6ed660e6a562c72cb,
'rmb': 0xa0c4c6f280eb93d3100dac30403057f4,
'smb': 0x79e0f325804dafbdaef73b3b17c0fd8d,
'tmb': 0xa8b687c2e93191d90a6d7b8982ceec4a,
'umb': 0xfa71b968cd9d68525579f0d496ae4533,
'vmb': 0x906ca293ceb84b74a484c663af571a7b,
'wmb': 0xe6ef5588ffc30dc9a057311e386b7f8e,
'xmb': 0xa2807a69700c6e9d988920d2a843efb7,
'ymb': 0xefe8dbbd18fc9f6b20bfbeef0b5a98fb,
'zmb': 0xeccec2b72cb48003a7726a041dcc2475,
'anb': 0xcfecb9a2affcc76e8ac218970040dc14,
'bnb': 0x2589597838b8b4e9a4b99ba59dc4bd3a,
'cnb': 0x318550dbc179b756467214720dff0139,
'dnb': 0x2cfe1d7fb53aa07f7c177fa5d9f7b9bd,
'enb': 0x2d2e14c726db9ef694bed01c7e22a8f3,
'fnb': 0xf541bcb6ec62de093416a7c8de510e84,
'gnb': 0xfa3dda6c258290fcf589eb0e2a2b10a9,
'hnb': 0x83c0009fdf92e9bbbde59df5488ff315,
'inb': 0x2a5e57743fcd4b6492866bba1b96a57e,
'jnb': 0x4d74d70ce6eaf511af492818f0257a28,
'knb': 0xeaa3459992c9a44dea32a9117ff51a7e,
'lnb': 0x8d0ddecc2f73824b75670ee0cc036954,
'mnb': 0x62cd43b670f7e4ec902b5c7acb4d33d5,
'nnb': 0x477347c6ca6a6c12cf23edfd2e6df41a,
'onb': 0x3bdc602bf88c10e009fb76556e2ee8c7,
'pnb': 0x6074b74dff92c68b4424f07fd8d60bee,
'qnb': 0xfbc766d56c868ce7cb2860d2fc96a6b1,
'rnb': 0xa7b2dab44b5ee1981fe92e12229db431,
'snb': 0xde98df916c14108fde2085dfd5f516b6,
'tnb': 0xd1ab69b7b609835d704f43331fc9d9cf,
'unb': 0xa19be82a4af850b606d37980428aa59b,
'vnb': 0x941415520824d85718220f457b96e9ed,
'wnb': 0x9a8eac0cf219d4927d9616c7710abd47,
'xnb': 0x2437649fc17c02408272f9e549f7e102,
'ynb': 0xb9e5368a9a6eeaefb38be47fddac557b,
'znb': 0xaeafec4cfab315da1dcda7ee364999cc,
'aob': 0xbf1127500a1dd1a66e5e8917a800f9ae,
'bob': 0x9f9d51bc70ef21ca5c14f307980a29d8,
'cob': 0x386685f06beecb9f35db2e22da429ec9,
'dob': 0x769c7a78f23b65869550bc1bbf4f52e1,
'eob': 0x11cfc897acaf480b320bb309cb13421d,
'fob': 0x8ba39a9a4a56c44c60b3976813a9eeef,
'gob': 0x4fe3e66b2026c6f3d9514fd8f6cf6668,
'hob': 0x9efa064d89f0fdafb45e2947ddd849a9,
'iob': 0x372d61400abb78f8f236c7611eb8ef53,
'job': 0x9dddd5ce1b1375bc497feeb871842d4b,
'kob': 0x5fbafe260efc5ae849727ab270a41d05,
'lob': 0x3fcf32676bb2478e2758650f43478b44,
'mob': 0x41f02b07e8e203d3260facb55b2f4b1b,
'nob': 0xb12ac9f661b08c941e42e6a3c63a5249,
'oob': 0x50b0dfef4485018bdbcfae068c3247a0,
'pob': 0x8d1ef0c95d0b6721c0afc0ce4a410160,
'qob': 0xf748289df591746ec4fca0ceeac74701,
'rob': 0x760061f6bfde75c29af12f252d4d3345,
'sob': 0xb489de1fd12c3c0ee60dd5ed61d0efe4,
'tob': 0x2c8509340cbd9f67f1bd17c512f67069,
'uob': 0x6e5fed848d16f55b6a2eb0a19745b8eb,
'vob': 0x2023e8bd112ca50d436a83773010a4e2,
'wob': 0x42cfb30b1843bc8b844f186abebd9fcd,
'xob': 0x755b949a55fdc30db0ca54618ccae327,
'yob': 0xd87219e3b44633b77c670885494a1d5d,
'zob': 0x36f3b2748cea3f5714d849889bb4a0c7,
'apb': 0x107c1464a1ab91d4309827c489fb232c,
'bpb': 0x4a0da80cd5f151c580921736d3ff90d6,
'cpb': 0x84c16eb73f88abacf19ae3777a05b1b3,
'dpb': 0x01008f27ef7f98fc01e5d7351ec5cabe,
'epb': 0xd7676e25a5df19987b894569fd17ddab,
'fpb': 0xce2487db2269a7c5d7fd1e1870158533,
'gpb': 0x07eff12de165ebbfda36acc1b5d0e6f5,
'hpb': 0x4cf91c06d98db8f3dd08ed5012e35e9f,
'ipb': 0x521412b378629a548d7e8392212ab4ec,
'jpb': 0x7ef0f8e7eab0db82c4f4f6038252bfe8,
'kpb': 0x7532ba42d90ff517da9499ea0f35c217,
'lpb': 0x14ef452e8076cb930fd5c37a73a18a29,
'mpb': 0xc8203b30af971c6b9163df6f2befa8f5,
'npb': 0x20e20a00dc58ce85373924454eb644fd,
'opb': 0x2073bc31f81582826530d44e02057473,
'ppb': 0x105083a31a53ed471d9b57923e02fbd8,
'qpb': 0x216f2dbd8fb673bd1b50e41e6ad86b48,
'rpb': 0x559c6a4fd979f18f61d19a81aee0b076,
'spb': 0xb1a72c1059dd64cb1399accf2139a309,
'tpb': 0xd12d2c37e8c211f096ea78fd159643ba,
'upb': 0xd4d769dc7edd14036d0d1cd3e1e24c90,
'vpb': 0xb9e70754a3975d4bfcbbab42480046e0,
'wpb': 0x9c0a8b40f6765922fb5eca6fbcf7fc9c,
'xpb': 0xe921ad061fb30a54e5e40d163f687f0a,
'ypb': 0x99bbf526104dc7403f2a6860c0255905,
'zpb': 0x39e9db3154312311b123cd96870c114b,
'aqb': 0x199648dac4e001e48934d7b453faa8ba,
'bqb': 0x7c473bdd6c4f04ee99081c2572bce46f,
'cqb': 0xe6661456b367415054af501c23c85554,
'dqb': 0x167d060b80aa69bb81551234c0786780,
'eqb': 0xea43b72c04cc55a4274b948b11e3b77e,
'fqb': 0x841e5548aeb34189fd8e2609b680fffa,
'gqb': 0x5c5eba4057565560c4a622d0d1d1ec27,
'hqb': 0x88e7ebe9ac16a7e67a2a0a4cbec4b448,
'iqb': 0xe76ac91740273ba54cf0b11cd5262ea9,
'jqb': 0x7d789813825fb62ecb3701de96a5b4d4,
'kqb': 0xffe44cc10adbb889da1ae75c616eb8a9,
'lqb': 0x79aa01b7f59f8afeaa9324396ea02280,
'mqb': 0x673678f9b5559daaa069b1c731b62de0,
'nqb': 0x6bdd13129c5f38306ec779e4e249569f,
'oqb': 0x1c29b9e7814786c51af79661bd7a657e,
'pqb': 0x04e4b80f4ed3c41352a9595614ec7cf3,
'qqb': 0x53412e39bdd68008ba02d5351d567f4b,
'rqb': 0xc207d08c0cfd367730bfba7eb6d6b7bc,
'sqb': 0x788ed58ac67ae60bfed178ce05809a48,
'tqb': 0xad2283b8b2085152edb31bbd0a749f2c,
'uqb': 0x4b8d650809a39cbde467dd48d40805a3,
'vqb': 0x97a4b18a4b1e5d980406a30dab193133,
'wqb': 0x59964e5d540e446cf98bc2af78a2ea58,
'xqb': 0x25bd5d04e7fd809e376b9501131f2ab0,
'yqb': 0xeac70951f59392ef71c2c2c16156b12b,
'zqb': 0x119827b5305502589f627aa4c160557e,
'arb': 0x25ea0ac7e3f16e5f711563c8693651dc,
'brb': 0xb992bdb865efa8b3b7333d0458323f4e,
'crb': 0xc182a8a87c9287b094141cb825472dfe,
'drb': 0x992a415d077a0aa33968e19eab5b3094,
'erb': 0x78282a10139f55d8acbd77d017f47798,
'frb': 0x742aafc3ab75534305eecdfc35a6911e,
'grb': 0xcd941bfdbc8400b8305e3f1e8d3fef73,
'hrb': 0x277717f43cd47a869abe2e494c16b6b0,
'irb': 0x42e1825c7c404d6fe3746d47eba2368c,
'jrb': 0x36f2ddfd15c6a419ad89715677bd374e,
'krb': 0x1acf7f48696df792cfa8ffefd06d7b2e,
'lrb': 0x25f490b37c7c9e8955d68d0f93f8bf76,
'mrb': 0x13eed552a284d37f230c63de3263cf9b,
'nrb': 0xd8b758e7e55a31e2d977ee2e142c608c,
'orb': 0x95cc0182f63c9c72a514566419ece3b2,
'prb': 0x49e1cd72ac222d0ed31831397ac9f338,
'qrb': 0xe1ff01342515b62700ad6726a98248d2,
'rrb': 0x26f450892c31e31c66a0e1caac616a42,
'srb': 0x81437d899972ab88cb8ae0fad8373d5d,
'trb': 0x711f7a034ed19657ae420946cae77d49,
'urb': 0x1f5c7fcfc3e9abdbbc258b4ab29de420,
'vrb': 0x7ed925a30492dee9ca8cec186f4fd953,
'wrb': 0xdc605964e0eb31752fc7c0cc6ba9053f,
'xrb': 0x5f1f4a0ec0edcc3b4ce188d3b7f39882,
'yrb': 0xbb7dc3c4e28a910b238d2547c9e3af34,
'zrb': 0x70138cf8e8e289447e26a3586fd499d6,
'asb': 0xd24cd8df8f41b05ae77d80189644aaee,
'bsb': 0xd318fd5062373ca1b12d05ac9dc0f9a6,
'csb': 0xaf56d1882cfea3759b6e5878f9f4ffa3,
'dsb': 0xf4f6172eb26581952a70d7199bfd2ddb,
'esb': 0xefb03b68f7a0c2a331fc61a491c4b2d7,
'fsb': 0x70ef8f8a06669823a2b00567ad07bba3,
'gsb': 0x161ef5e8cf0791d80a107e5b2fcbf10f,
'hsb': 0xb7cab12b2b81385dd2cccb8ce67e4998,
'isb': 0x321cafdaffa6d8d1de3a674be08f6720,
'jsb': 0xaed32f5fffcfe750aaecdfca61773909,
'ksb': 0xb24176d34261f3e5cd8b3b78bc90072b,
'lsb': 0x58b7eb5ebaa12a0515c0dac315aa2611,
'msb': 0xc4781e1f427c6cb6dddc0662358e3eab,
'nsb': 0x5403dd9de0844bef4266560239d4b2d4,
'osb': 0xc1b5828b1751c223db5c3d0569a57d33,
'psb': 0x7d05afc58dbbb41f9c0ab7b3a0c2ed18,
'qsb': 0xfc73366edc69547735f2bf736a03ed0f,
'rsb': 0xde38c238595c595be17f3057bf9842d1,
'ssb': 0x7998730c62c4a8d0bb98f1bfb41ab56f,
'tsb': 0x11ef24ce7efc2972f71e0584e1be59ae,
'usb': 0x62ed973d963913bb55111a7b8116ace1,
'vsb': 0x9a1aa3e2d997a76a64e7995e33c55597,
'wsb': 0x30477954a8f8c7e62b295c634f2c3d93,
'xsb': 0x446a59bdf5332261eefe7fd9b7718e88,
'ysb': 0x8c2b96bbd195edf7b6e3506aa2e49cc6,
'zsb': 0x1b2435ffa198668d92d48dabf49106e8,
'atb': 0xfceee8e36f95e7c22be2a8c47ce2b93e,
'btb': 0xd3030ec431fdaa27b7ec83dcd3820523,
'ctb': 0xce445102682e75bf533d44e1afc38a90,
'dtb': 0x8e607fc7645189dc4a69ca7189909c3d,
'etb': 0x13769928cf0f70c5da1757bd7912cce8,
'ftb': 0xb63e561d726c1dbd8f4d43b1181b3584,
'gtb': 0x12bef9fe0a47104f6835b8f0e6c3f366,
'htb': 0x53cc5f9c06df19a98e73eccd024670ac,
'itb': 0x1f3e11927c6c05b5344d1a89eb56ee27,
'jtb': 0x56de23691dfcfe774c8f47c4929302dc,
'ktb': 0x4ce0b59f2e08d6dc7e6fc1f9a2c982d7,
'ltb': 0x5b6cca96e9a4df5d3479d7bf81fa3760,
'mtb': 0x178adc1d3b2bb2266c87652e970613ae,
'ntb': 0xfb8a98a6067e7de93a17c7c2e9e3b5aa,
'otb': 0xc4c8aa2a0624d6e67d50e4960f583161,
'ptb': 0x0d2c0ffecd9ffd63c6b34595e97f0eb4,
'qtb': 0x9ece966b7fdc93e9ac735a4e08d3539b,
'rtb': 0xb11260d93de1c1dad5f975b4766311db,
'stb': 0xe2c105408da55d8017215f192b782fd3,
'ttb': 0x5561542342419b28f1e047fa049fcd97,
'utb': 0x12c1fdd074e095be3dbbb82f8b926a08,
'vtb': 0x8ce0bcca416eb81bfcf96c292fcdda2b,
'wtb': 0x5cc59191131d1920c6700a9c9d6e46f0,
'xtb': 0x1ae7ac104a8f392fa56f4c1275aaf0b9,
'ytb': 0x708ba678b2cae37bd648b7bc9681a983,
'ztb': 0x792242a65a5bf774e4a76aefbdc32efe,
'aub': 0x34fffa72be6965817dbc8a58bc640483,
'bub': 0x746b96685b314379bde168cc4e6fec76,
'cub': 0xb8dbeae2cc12034a4021e987f2d8d38a,
'dub': 0xca61bfc4d697d12e7fe636ec755050e4,
'eub': 0xeffa0fd0839a6e60c104a0dd97ab72fa,
'fub': 0x6aa53a22ce1c8c2b9bf903fef3b3cd1f,
'gub': 0xba73632f801ac2c72d78134722f2cb84,
'hub': 0x5261539cab7de0487b6b41415acc7f61,
'iub': 0x697136e61b33ea9438571ae41251dc39,
'jub': 0x0885d87e142c7b77575ba50f9f8c88fb,
'kub': 0xc02fee0c79e128dd53764a2e9fcb7ac6,
'lub': 0x5e5af18321abd413a90b45a6d4cdb578,
'mub': 0xdaa551f036a22f6a1d9396b4d52ba522,
'nub': 0x88dc70776c57f1aa450c1a278b2d9079,
'oub': 0xf0e6790e470e46021152539aa166b2ab,
'pub': 0x3a21cd7317e1445be89999f5d7f62a53,
'qub': 0x4e25e09a7db33cc33e5ba3b009c2ca71,
'rub': 0x8efd23a3fe0ec74453bdd0fadb91b0e3,
'sub': 0x8a68dc3e925eacf92633be230722a140,
'tub': 0x271721b254b162696e14c3f55a6df8e3,
'uub': 0x7975a0a581bf1f8ab03ebb108d5d2551,
'vub': 0x1ff49c94f5e0428eea789a68b08a082b,
'wub': 0xc7a7863eac4a09c89e4d05fd46632d36,
'xub': 0x39389b5b82590599d731d7f6fde55df7,
'yub': 0x125eb344f46bdb316faf29c01cee4f9c,
'zub': 0x896339aa0a31414e80dcf1d6b7d0c2fd,
'avb': 0x5391839e8736a3b8c732bf750cb5a79b,
'bvb': 0x05dee3b8f96e1d70c8732a5de326d666,
'cvb': 0x116fa690d8dd9c3bd7465b59158f995c,
'dvb': 0x60196c13bc1d8ebbf9f687f2f9df47db,
'evb': 0x56f8a07cc544ac8ce35e6707336b3cad,
'fvb': 0xc0878b9e95cf29c5aeccdf980e475435,
'gvb': 0x57518d28b738c103bff1ed18466aa324,
'hvb': 0x56902654b82351d09f7350faa7a7e9de,
'ivb': 0xd0910c2297faee217481e119e0fca5b0,
'jvb': 0x0f226375ce91ffa55099fe1bceae5d6a,
'kvb': 0x7b68ebe8469500f36d4da69451761052,
'lvb': 0x67f250cd642f9652be81840dc5e689ff,
'mvb': 0x1a5af5ae32c40ccd5f98d07f3006f3a8,
'nvb': 0x157b65cc2fe1c07faa76b363552ffb79,
'ovb': 0x54c74190287c86988453fb0dc16daad9,
'pvb': 0x01304c54e32168eef5ad40669296517f,
'qvb': 0xc688c15de6185704bbfc5daf8d65e93b,
'rvb': 0xe1c0d7ec4156a2fbdf290616b7526a3f,
'svb': 0x612cbe62a91cac38c3d85643a3ae5571,
'tvb': 0xe6180d6a007ad544a90b0ed75706acf0,
'uvb': 0x4ff34395195837f049d093702cb85f75,
'vvb': 0x74e1e420da1716ae52ac3ed6655417d0,
'wvb': 0xcd772e577a52a9d202f0ded75587f923,
'xvb': 0x92d2b6ca37af3ce44b985ea0051284f6,
'yvb': 0xc5dc75b5f03425dcd97ccb226fb8a36e,
'zvb': 0xf44dfb5d4ac83c00f566c913197d34ac,
'awb': 0xe5555349c56ff3ecdb8eafb9c860ffea,
'bwb': 0xf9b8d97e48fccca83ed4f3d094601f1c,
'cwb': 0xc7490ef3633c5d387910f3dc020c9cd2,
'dwb': 0xeb01a40b5141f8db3095a27a61abf0d2,
'ewb': 0xf0f53913adaff1e86b3d3fb1d9f066c1,
'fwb': 0x7a1516633a56081ea7b98d0b0f6b733c,
'gwb': 0x9a81e55d028cc819e92b32a2c4de23fe,
'hwb': 0x6ba7f8be784a8f1a2f06e5efdd4b5cb0,
'iwb': 0x1b4a7956dcce9b12774c852244653b12,
'jwb': 0x86a6e296427dbbf4bb45178e0519e8a0,
'kwb': 0x423354803efb3ab609bf02f9537ba5d0,
'lwb': 0x9c82ae4c73da2daeb11845fe7f9c1ab8,
'mwb': 0x443cafa43763ecef31a18198dcc04dc2,
'nwb': 0x48aa1bc42ac6c3a95c70434033b5c0d9,
'owb': 0xdfc3c97be635da73c84fc70374746a79,
'pwb': 0x52f7765e07944974a9c2ac3c554c892f,
'qwb': 0x0630987beae1f40cf1508fa6ae80eca0,
'rwb': 0x9f7aca6b5146aded5276f19c0e72065a,
'swb': 0x3128e23fcce3051e7f9755ea60994fa3,
'twb': 0x56f61016d8108e1835812a20291f7d59,
'uwb': 0x74d6b467cc54aaff7bbbccb78ffd6c7b,
'vwb': 0xe7a2ea58723f5956287143a5c3e38a0b,
'wwb': 0xb96c5e4db7a005dbbabf178437a82dfc,
'xwb': 0x612e82815bd26842b828a9edbb224001,
'ywb': 0x6cdfc743b01e1dc09a1f5cd3673d944b,
'zwb': 0x3bbca8e69ad52e11c12242d144bd6bd6,
'axb': 0xb1a555a659bce81b6a19d06bb011ec31,
'bxb': 0x1c3b80cd890a01b12ed203891e0c12f1,
'cxb': 0xc2a733e4734c91e9d4316a0719208b91,
'dxb': 0xd079fcde65446eb0e26637aa2b537f23,
'exb': 0x3447de6fc448fe2695987b63d3af6aaa,
'fxb': 0x6a44376e9118a3b0abf56602ec19f889,
'gxb': 0x520d7a979a3b1f5cb4a2cb573ce2efcc,
'hxb': 0xca977d393e010e8f3960ecc2a6036867,
'ixb': 0x8fbf1969f1f3c38da424d831d8dfb2bf,
'jxb': 0x2bbcb25ea3cf6cf8d16d97ed50d86fe1,
'kxb': 0x9473bf3279aaaade35e410e4084db49e,
'lxb': 0x670a0541fde5301f53873c625a176b90,
'mxb': 0xb1878f7b186cbfc7be659b048cd0c03c,
'nxb': 0x1c5a6498087d20a4af2c09b58343234a,
'oxb': 0x52fd6035e668085c204e2137c1faa917,
'pxb': 0x3efce9a2bfd7ef73ea7492cd04c288be,
'qxb': 0xdb5ccc728e613d3bdfd2ecdf1f0f2cad,
'rxb': 0x5d573c69be72a45d7a448d4ab99ba7ad,
'sxb': 0x032a91c13c37b6e203be42f90770a534,
'txb': 0xe0ee523bd15aa6cf153c5dae1a89196b,
'uxb': 0x58714925707569bc7c8c977ed0314362,
'vxb': 0xbc29b934f6f8dfd4c9fdd5ec03be9239,
'wxb': 0x540bbabbdc772b1b849f92131089e222,
'xxb': 0xb2b46220d54535eb548c975f37cdf51b,
'yxb': 0x4fed0bf01975be7e3ade866ee9a9c365,
'zxb': 0xe6639c1f878e88af6a7da04bba90a265,
'ayb': 0x706a7a63d98ac7d03191d4888755a831,
'byb': 0x9097e6cd00e2c1d731accef54d98d73c,
'cyb': 0x46db00e989c22948ca6fc74e3a338d4f,
'dyb': 0x91201e7bc625ef1b7d051e80084a4d96,
'eyb': 0x0b89dfb6ec69eb9a8956492f64e910e5,
'fyb': 0x4fdc7bdead8db2faacb751b3408740e9,
'gyb': 0xdd4562e6ebce175762a4bef5d43024b5,
'hyb': 0x3a6b0296dbb50888c6272d1e49281d31,
'iyb': 0xcbea85ba0fa38aac4a2b186acfbfe169,
'jyb': 0x1ee033045bc01edcdca1eaa4e2f244a0,
'kyb': 0xde3256d4a077c98ba408d7930b076514,
'lyb': 0x38d17dd2b5c349531268ae8484112a78,
'myb': 0x6e48dbb6ed6753d9208ab5ddf3c20e97,
'nyb': 0x0af5107be1e00291a0fab985bf1cd39c,
'oyb': 0x6a9fd690f52c57634f9843f597366269,
'pyb': 0x616c7b02d6212e3ac4888109ccba5233,
'qyb': 0xc7f1b3a550387e09cad19ae35723cbe3,
'ryb': 0x698786c1b9d8ce37e69ed6b378b4b77f,
'syb': 0x74926053ad79dca0d0ed8ee93405eddc,
'tyb': 0x7369dfdaf0475533d4d375df8ed75e14,
'uyb': 0x17a9cf670c95cdd4dd3af52bbe18217e,
'vyb': 0xa13031cd600a15a878da73711af2e90c,
'wyb': 0x6f5d386b734fa7baf39bf7a315c5a1a5,
'xyb': 0x5b1a2d40f9ca4d080e3b4a2b30bf30a5,
'yyb': 0xd47ab2150bbd3884b5d2d16347525345,
'zyb': 0xbccd903383d49e20b5fd7fa561dcc431,
'azb': 0x976f58e7e8c9407e347eceeec4bea372,
'bzb': 0x474965207f751b5f89d7a9df78a26960,
'czb': 0x13040a8f2b57639af438d3b921ddc410,
'dzb': 0xd26a5ce20bf64e6b2b2754268e661bf2,
'ezb': 0xe6f39b3c0d25aadceed6883bcc152a27,
'fzb': 0xc919cdb1f227f90273018d855af0e980,
'gzb': 0x15020440accdd94614d81ce0cc0c7a49,
'hzb': 0x98611e4d2b59fd119adb39af4a3e3fca,
'izb': 0x3013ee5530e2b5ec23dcab3841fc3ff0,
'jzb': 0xe24b71fc8e90bd1a489e6538bcecab55,
'kzb': 0x56646bf18c1c9a3bec6185ff396b3d80,
'lzb': 0xaffe2b88e008921c6ebdc6d92e6783df,
'mzb': 0xeaee5d4ffbb3b7d4fd75ac19f7f5ff02,
'nzb': 0x74dc217ad54981009fdf2f6a9beb1310,
'ozb': 0x67c1e0aca492ab74b9f0cc2a2b7fc8d8,
'pzb': 0x7c6e9730a9f6a185a4467d5d998d54ed,
'qzb': 0xafe863cf9cccb598d8817388f4f4b255,
'rzb': 0x71bc76c44acc7d6b977f60090dc866f7,
'szb': 0xf640b9f2c043792e8f54df21582d1f2d,
'tzb': 0xa6335ee9f3a27260e61c90928f8f3ba8,
'uzb': 0x9fd247b0101cd958a1454e9b94e13892,
'vzb': 0x9094e8aac41795b34afcdf090c62e3ea,
'wzb': 0xcaa5eae2ce5ac44a3f8930e6f127b423,
'xzb': 0x54512b1c7414188441aea85d0f9a6f26,
'yzb': 0x0c1ef18e764b41d2e84fb3691f29e7cd,
'zzb': 0xc641c6ec8b80c6c000ad953e8a8a92ed,
'aac': 0xa9ced3dad556814ed46042de696e1849,
'bac': 0x79ec16df80b57696a03bb364410061f3,
'cac': 0x1921f9e1416473a1d0f15d328e837115,
'dac': 0xb75427b031d9ece858e5f9404469c6c9,
'eac': 0x31e0e4c9c2aee79c4bfc58c460f4ddbf,
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'gac': 0x45fa43f8effc2fc7b47e915a7d86c2cc,
'hac': 0x3763e42b75ac2b1500a228bf22f4dc5b,
'iac': 0xaed3eced69a81bcc445a6f3215f7e23c,
'jac': 0x2782dba0f455f7e27924d87a4108a02b,
'kac': 0x0208a2e72da71f7d17d6d20080990ad0,
'lac': 0xc490825595c06727da1d1a11497eb89f,
'mac': 0x140c1f12feeb2c52dfbeb2da6066a73a,
'nac': 0xd1de8be1b40a9326cb906e404e2a1367,
'oac': 0xad0cd65bbcd5943577576c8175566f13,
'pac': 0x182a15b93cd323556be21fd4fe8f3a8a,
'qac': 0x4178b35007d7ee2316d17c2579c15ecf,
'rac': 0x04a33dd13425a941a5739880a7526687,
'sac': 0xb5241b4630506e90ecf9d060c28b92c3,
'tac': 0x32390fa731a71f4cdcf6b76a05334545,
'uac': 0xf14c8c4bf1b2bec5d4e18ffec5cb4677,
'vac': 0x5b73533bd5cbdbf81adf0a87d2641e0f,
'wac': 0x76633a53d40be7011a3293bb4ca116f3,
'xac': 0xa8bfc56ff614c327ebca22574ab17391,
'yac': 0xa3392e4d97b0d057a57453dbbad0313d,
'zac': 0x0c22828099b789d62a96fc1f87928f43,
'abc': 0x900150983cd24fb0d6963f7d28e17f72,
'bbc': 0x99be496ab9ad1cd2b9910cecf142235a,
'cbc': 0xccb241b4014cfb8a2ba0da0a943ac9ff,
'dbc': 0x4a429e0b8871ec788a3a171545d959e8,
'ebc': 0x01e40bb5c70ff7f7d1e46cc86d40f654,
'fbc': 0x5edfb283385af10f48a7b0cf91ac82d3,
'gbc': 0xb7d0f4b11386c52485f4e48b56376dab,
'hbc': 0x66bcfee5fb4b8905bba73f5b691dc77a,
'ibc': 0x63c3ae7301647113d04e201e02f67b18,
'jbc': 0x56fb8064ad94d98010dbb10a9b89dec6,
'kbc': 0xc0524e3042ec431850f2fd08ef298024,
'lbc': 0xa09ed67e353a71e57ffa05637dc55a34,
'mbc': 0x9d7fe60f25abdf582afc7cdca238bde8,
'nbc': 0x11d6ff9a17974c9a7a3e1ccd50c92fc0,
'obc': 0xa49adf76667e01bfc999664c544b98e6,
'pbc': 0xf12d5ce5e87a2c8d7fb110c981c94006,
'qbc': 0x45f78ad16bf4471d9407c0a4025d9f01,
'rbc': 0x6a49f67ed8e5e478391b7496381f4047,
'sbc': 0x966bcd74e8482da1569c6b839996c0dd,
'tbc': 0x11c73f5ef965e27ad7f2162c6d862d00,
'ubc': 0xf93fbdaacca359c08836a61778c9d327,
'vbc': 0xa11720ad41e757378e9957b4822cd0b0,
'wbc': 0x631923851297ee00701f440c58dc90cb,
'xbc': 0xc9efacca293ef80d861dd2796de1acb7,
'ybc': 0xbee42646da367915666b3448e208f397,
'zbc': 0xb058389ef0525009e3b54c7fb524eb08,
'acc': 0x1673448ee7064c989d02579c534f6b66,
'bcc': 0xdc9262a469f6f315f74c087a7b3a7f35,
'ccc': 0x9df62e693988eb4e1e1444ece0578579,
'dcc': 0x3b11d4ed537ced20e41a9b8a067f5d85,
'ecc': 0xe0f1a4afdc30e0724bd9be57355de70e,
'fcc': 0xbfca5f5929b01a5119351bc0b1a391ae,
'gcc': 0xe0d511356bd44120af49cc96c9dcf3b3,
'hcc': 0xfadc3c8509db129e10ef4cfccf6efc5d,
'icc': 0xa87c68a857bc5ec5362391a49d3a37a6,
'jcc': 0xc259d6cc99edf5c7bc7ce22c7f87c253,
'kcc': 0xc4ff0662d9c58accf2eac43dc127f7a7,
'lcc': 0xd18f6736f3e3f8a57f06409359a4cdd6,
'mcc': 0xf46f944e351f8b92e40c3308318738a3,
'ncc': 0xb06de212b821659277d610b28ad7357c,
'occ': 0x0f04b700da1d8c0641b4be9bfdd83d20,
'pcc': 0xad1517aafe91ad10d02ca0de7cbd787e,
'qcc': 0x4337db58d9a9ad44f31710aba5ab4f70,
'rcc': 0xa018881f8fefba70a163172087b7f45c,
'scc': 0x9c94594beef2dd07675954d761b8deac,
'tcc': 0xdcbacadf485c141a2b9b0028f2c0b2e1,
'ucc': 0xdf85ad6792af31a47fa90ab34e573308,
'vcc': 0x19f8b291ddc2bbaafe41052e3be4a743,
'wcc': 0x04392afbb50e1ed6f9f7b3b67c05bca3,
'xcc': 0x0417c940b9b4f30aae3d4d703bbae4c2,
'ycc': 0xe821f46be6ee45e3ca80d189f989313b,
'zcc': 0xb9915f5ac809a8c647c29f5c060c647d,
'adc': 0x225e8a3fe20e95f6cd9b9e10bfe5eb69,
'bdc': 0x0a55934d481127bd4c81ac1b76ed45ee,
'cdc': 0x8ae114df2641b681b4fc51ed989f97b2,
'ddc': 0xb66ef205d4bba3390bc51642b3f397d2,
'edc': 0xc630dd16135d2a82b0518e1cd3b5d36f,
'fdc': 0x6a6226f60f9000ed9395aa58f432e8b7,
'gdc': 0xe6044bf1cf0c87918585e613eb02efc5,
'hdc': 0x5b593c651bda77f2b449220326ad4346,
'idc': 0xcca5e614d1755faf382e2c678bd45a19,
'jdc': 0xfada1071eb309cb3b778487f71a41ac1,
'kdc': 0x6414f8dc6468b3497b033a7ab5e705fc,
'ldc': 0x8f83c973a5826b8740cf6b33bd7706b0,
'mdc': 0xf14626796f9fecbc1dd26432e3df5adc,
'ndc': 0xbb4aba0633e187d42afb56ac43d605af,
'odc': 0xfeb79481115cb7938f8ea39708801b70,
'pdc': 0x1e02965bb807a765ba0dbebe1f9b9fe0,
'qdc': 0xa453c13da2bcbbb11573bc7e3b70b845,
'rdc': 0x0181dd937b704caa22ed9c3396e5ff60,
'sdc': 0x77c0a176e54ee5f179b296099d042a97,
'tdc': 0x5225db0d3feff8b7ce6f3c48068644fd,
'udc': 0x152a6dc9e42ac1ccb6fe44e971e9710e,
'vdc': 0x6a1b2de69eeb9a037ea23de6b529394d,
'wdc': 0x6cd566bfa84190ae790cc74243260108,
'xdc': 0xfe1ce5ce34b9195bdb80235ef422341d,
'ydc': 0x7fad35fb5394aced2680edc981d7b589,
'zdc': 0x999fe6a9f7392068ceb6454dd721efbd,
'aec': 0x05b980fd14414110790904f87051f9e9,
'bec': 0xfe9ace81d27c53c205c2ac8a6f1d9259,
'cec': 0x3eb29d792013f8445b89d1c0cb051d4e,
'dec': 0x1feea25ecb958229287f885aebe7c49b,
'eec': 0xfbf70cb49ab268a3ec42a4d17f61390e,
'fec': 0x68e129acd99d4b65789a3c9e07fcbfc0,
'gec': 0x01de343334dd60bdbdda3bd70277a85b,
'hec': 0xd4bf67cc527421da1f2b4c9b4bd74946,
'iec': 0xfef28193e66a52432fbb91b767f8290b,
'jec': 0x853090e7a111dfa6ea2e9dfcf8ee2c24,
'kec': 0xe706be55e3fdb5d36a723752f53639e7,
'lec': 0x0398a2cbcebe784d10360562c28a4b07,
'mec': 0x15d6426563381c7eca0c321abf131401,
'nec': 0x0490b305539f9a2d4fb47a454c3a0dda,
'oec': 0x6b540954e368f9719172706a2ad234a3,
'pec': 0xc3592ad763cac73a15466c0d3c10a77d,
'qec': 0xfb73c17f5099407a3ecb6b988dbd8690,
'rec': 0x0b2c082c00e002a2f571cbe340644239,
'sec': 0x74459ca3cf85a81df90da95ff6e7a207,
'tec': 0x044c3027c1bfd773fc90762db80bf8cc,
'uec': 0x112fd7a3e9ef3b623f74e401785eebc6,
'vec': 0xec99834b54fb5bc3d50f5fe0efb9b93b,
'wec': 0xc8a17d74590dcf86ef4aef8c9f9686e4,
'xec': 0x595e8a03d456392104ad032890e04c2a,
'yec': 0x9aa3299fcf34136f4eb804fc1964ebac,
'zec': 0xa8ce7bd6279f40a86aeaa59b49af4e37,
'afc': 0xccdf76b5fe158066818731fccdf24919,
'bfc': 0xf4f450e119f56ef9134f032558a8f31e,
'cfc': 0xf310cb5807ae5bbd0811d382cea39b22,
'dfc': 0x0b5c4a1eebab6d8468677877384a76c2,
'efc': 0x3af7892a614601fd8632759437984dcd,
'ffc': 0xf668d2179e0d4ce533268be29fc60e75,
'gfc': 0xa67c692ba9da5474f695da06cfbe1f1a,
'hfc': 0x6763b51d831ec04e1a634affbf932d64,
'ifc': 0x86b0534dd52a4094a51869c1e556e1bf,
'jfc': 0xe98a713d524ac7247b4fe2dc4147c829,
'kfc': 0xc3e39bf9f009b801037846853bfa9f2c,
'lfc': 0x186378572ff55a92f6be983cf643f147,
'mfc': 0x3800f845ae86a2e1a26be414d8cadd0f,
'nfc': 0x062993585a465aecb861561818225523,
'ofc': 0x0c400709866ea0a93c9d16bbd9640624,
'pfc': 0x29faa6cb8d44252b5b45b17f964efdd8,
'qfc': 0x42d5b0416d0686b72e492f2a0eed218c,
'rfc': 0x1560a2dff5992750d9748cbda44b4c51,
'sfc': 0xfff64cb6beebfa10fd803f442c969238,
'tfc': 0x6af6ee7cb89ce5139daec1f060d83bd4,
'ufc': 0x0f1e6af3ded265ef957875152c35f14b,
'vfc': 0x4b18e9d16b3ddd90e964c4ba8a0abd5e,
'wfc': 0x810016a5056c4f3f7dd74b3ff02b8f5e,
'xfc': 0x13608fa5c8483c2b0be37273d96f75e6,
'yfc': 0xbeade09abf59c1cce793fbc76fe23295,
'zfc': 0x43d84e44712b09d1636dcaf781d899c9,
'agc': 0xf5004da563fb254400b4aa3b6b010767,
'bgc': 0x0f9e80982566a13dc0c281a4500c4a13,
'cgc': 0x2505897a3c98a69feb2d57c741d8e0da,
'dgc': 0xcd85463c97c8f3b9a5d0638db5d2bbf1,
'egc': 0x25a19104eb5e9420d8044421a204e8b0,
'fgc': 0xb47fd47e84458969a3b7c83f7ef05ef2,
'ggc': 0xbdf39405886c53942cd21ce43d6ba5b5,
'hgc': 0x26bbe78a0f400782a99deb542806cd38,
'igc': 0xbebfde22551e8fcf3557c30c66b27329,
'jgc': 0x2a393bd02483ae3f81c57e39aa350f21,
'kgc': 0xaa51ebd7ec3cc098a6228fd456b523b2,
'lgc': 0xe5b12ea482f8cae4652b10e89101482c,
'mgc': 0x6cb1f90cba489c85caa3c2ee6ebd0ccc,
'ngc': 0xbf00b8253f956e6c91db8bc380b1fb74,
'ogc': 0x1102d439be91e5ed56972fba8bfbbcda,
'pgc': 0x5f16f655a2e735232d6f72ef0d1a6b4c,
'qgc': 0xf258bf626d365348f14b138629b9313e,
'rgc': 0xfbc51880016edcfa2d933c184f9d70e5,
'sgc': 0x35cfffc1ef28ffc003716d57926220e0,
'tgc': 0x7feac949293c3af4cf9668bd6bdb8d33,
'ugc': 0x02aeb8316f736ac0a468160e047055c9,
'vgc': 0x27d25ffc28ede286a8c70d61895e8e85,
'wgc': 0x7381ad8fd29651b2e3be1910bf3b6408,
'xgc': 0x287cf27055fd3b0267ad7d2aec80af35,
'ygc': 0xc0f0ef44ca8b0fb61f09662edfd24b0f,
'zgc': 0x0440c36dfcd903f9698261121fbe5799,
'ahc': 0x4725b21a900349a9474f06bec34734dd,
'bhc': 0x44b239ef48b59b5746401830051029fc,
'chc': 0x354d067913e0c1cd1e28c79c69d341ed,
'dhc': 0xaa61c80631d07ea34d0961912f9f03fe,
'ehc': 0x948ae7a2b2bf4fba139404385a70a70d,
'fhc': 0x1261e7231bbdfae38e1fe9b215f3536f,
'ghc': 0xa7121d4b082d0985cbf21763426e06b4,
'hhc': 0x14d381fb0c091dfef03545d23bedca89,
'ihc': 0xa811374b0843d069fbbafe21cead260e,
'jhc': 0x7d71e02c136d9a2833d1772ca89e4d4e,
'khc': 0x2637f9c7faeb7070faeac89d7196c85a,
'lhc': 0x8716a246719d761013337db8545f476f,
'mhc': 0xdf439a8847da23df70fae346e828d2fd,
'nhc': 0x99178b1f14e44216de4d7433bf375fe7,
'ohc': 0xec339820262a05eb7853db9a2907129f,
'phc': 0x6784074cac49170a43cc0b8e0a3f795d,
'qhc': 0x7e11f63366c6aaccf639ef130529c0af,
'rhc': 0x0039f867cdab87bd35821bd60133c436,
'shc': 0x3c06f208f8e6d493bbb3fae485abc466,
'thc': 0x17c4b36c5f3ffe3cfa347083f98e3e17,
'uhc': 0x2402500adeacc30eb5c5a8a5e2e0ec1f,
'vhc': 0x4b7d82213433888217b20af472304e97,
'whc': 0x1ae28118d7cb9a6a87aec71b22467e74,
'xhc': 0x4da3752d506913c6e253a89b9d3c9af4,
'yhc': 0xe2579830e499366c003a63146db0185d,
'zhc': 0x0a809c2b86e6826fc49c79d3f8777df9,
'aic': 0x487739645cf12002ea61046074842ccc,
'bic': 0x71353177545077b0c97f8c9075f7fc0e,
'cic': 0x87c225cf0ef858082c1e638eae0cce66,
'dic': 0x470dcd7b646bfcf16d7f0e85bd145ac4,
'eic': 0x6201912346f3222a805dd6f9a1afeb73,
'fic': 0xa38d1f85899785dc3567808b2be1190e,
'gic': 0xa2f4a7f5e8424c3df10ae22fbe5b00b6,
'hic': 0x4d7ad23e72ef18d97ef4f28111466156,
'iic': 0xb2611d0346fc09333fb0348624c167a5,
'jic': 0xfcffe00946f19c776b9dfab40dab9140,
'kic': 0x34aa31768eba66cb70229c5636adaf73,
'lic': 0xba066b54c0a283266046638c7431dd51,
'mic': 0x4eea1e5de59fbc61cb3ab480dbbf6a5f,
'nic': 0xe821ba1edb9dc0a445b61d8ce702052a,
'oic': 0x0aadc8bef99505a3e7ace61dcf2c4739,
'pic': 0xed09636a6ea24a292460866afdd7a89a,
'qic': 0xd3de7e62b8b25d48983e167677bdb6dc,
'ric': 0x497b0bd7178e735eef67720b00c9fc96,
'sic': 0x82f5c1c9be89c68344d5c6bcf404c804,
'tic': 0xde79ddb2163733fb03240cebd181aa95,
'uic': 0xf242c846ecd2dd373b135057dfb8ff81,
'vic': 0xd8d3bcfffb223aabf73973451548b12e,
'wic': 0xc045a5a2705a30d5c7fd97229cd5b07c,
'xic': 0x4bc118021c11fb952fe235f8f54f78fc,
'yic': 0x155069cb866744c838fd6c1c6a7685a1,
'zic': 0xd0681e3bc2656897ba77dd9da8079827,
'ajc': 0xd24940945f595d525f591465c0b7ff02,
'bjc': 0x906ab96788a7ec1a26581eb4f29f8b9d,
'cjc': 0x4b1be29509fed7a6b170933b12d49e40,
'djc': 0x1e9582d0218a34b09caef2d8b5a9800b,
'ejc': 0xbce05a9c8d64ffb8ed8548642d87c435,
'fjc': 0x88d51012f69dcbc0c0f86cfc9dca6ef9,
'gjc': 0xa2696e3c59aa901a9a590b276727c2da,
'hjc': 0x5cfc912f305847c7a7e9f6b0736c3b22,
'ijc': 0x34060ac0d871103ebb70cee74dab0913,
'jjc': 0x4118ae8f8e8511ca35827494790c9e5a,
'kjc': 0x89f022f4ef8831a518faa96085a05021,
'ljc': 0x267773ab5a5e82ad3cd8bef6a0115d74,
'mjc': 0x4f398293cdc258b97ca0f31f26df4849,
'njc': 0x6767e0132cb0ca77e5783033e364c0ab,
'ojc': 0xc46b2a18e5954fbcc07d965b612d17ae,
'pjc': 0xc1ada618c44b396364642bbc0f48acaf,
'qjc': 0x68a883e34783cd89d9321735fd0d7313,
'rjc': 0x0404290975b78305db2fd7d71a062c7e,
'sjc': 0x0b5b266a28469a7b52ded76c9a66f018,
'tjc': 0x738678e4adbec542df8505c447feaf50,
'ujc': 0x4e92ec7defb65762c844ac0946af87b8,
'vjc': 0xb82ec1f85aaf7936a122b3d2921fe554,
'wjc': 0xcd70195065f6d836653d77555c481ee3,
'xjc': 0x0f411cb4605191949d9169720d2edc02,
'yjc': 0xbc6a6d029fbea8615fe926de78d584e2,
'zjc': 0x7ff8479977516d0118aea104f537ea86,
'akc': 0xf19d2d0cce480a1d6b3b9347e2f50084,
'bkc': 0xc3562bd47ed0d92b68efbf694c7bd26c,
'ckc': 0x5816371442f0d570fb98bfce21dca39e,
'dkc': 0xb4bd3c0397b492c65d6780aa546abc3c,
'ekc': 0x90bb675689340e03310895f2716c27d6,
'fkc': 0x5aa4eb6ec29e64206c4bbebc14982986,
'gkc': 0xc15c967db740e1c00e643b31bc434e9b,
'hkc': 0xe454899e281d253f2db1dc443fc038c5,
'ikc': 0xf86ace0dc9d7fd09f6bd7a6e12eb831b,
'jkc': 0xd250ba4cb8bbc8cfe518fef9902742e6,
'kkc': 0xbe92d127746dc9a42a7181595678c7de,
'lkc': 0x49f256bd0d24fe778544e93f7704fcac,
'mkc': 0xed51c76e54f471f9245b0670384a8123,
'nkc': 0x1c0fa1dba2431fae4462ef706ac2dfc9,
'okc': 0x6b5b7f4332778cad21b5deaa5fc2d5cb,
'pkc': 0xf03d9e418ee2c11b40bea3923c12a51d,
'qkc': 0x0331380d34a12615e1dee9e6a1817f80,
'rkc': 0xaad73f49f078345726b3686f37165d24,
'skc': 0xb7518df29d644a95ccee1102f2b7145a,
'tkc': 0xc982656c0cbb12befbd5438f81e1e3af,
'ukc': 0xd0389ddcb04f2d7c314ab4b1d291222e,
'vkc': 0xa83b02deeef87584b35486043bc8d4f5,
'wkc': 0xe394c007527d1259b55b4879c053fc1e,
'xkc': 0xe72148cfde4f72b4e63c0f345cbba991,
'ykc': 0xac1d935f05bc072ac5b2f75e7379988a,
'zkc': 0xb553621dbd1966e2c9bfa01961058595,
'alc': 0xb859cebf8edf143b15e6ecbe19c3ced9,
'blc': 0xa0d1b0d348d2997dc238757f6f226551,
'clc': 0xddee12f44ccad98a79e0555d954173e1,
'dlc': 0x95e10614fcf9d33c1d95a17cd02d2303,
'elc': 0x44bbd46906b1edb06389434a1da19320,
'flc': 0x1f0efde51b9c7100f09d0affb24ee8d4,
'glc': 0xb4e56b10a538fe0fafd0f8e145b0f621,
'hlc': 0x927ec3a78c6ebdceeafedb29892fa7c5,
'ilc': 0x67eea2632a01c967653555f98cb84b36,
'jlc': 0xae18a8ad81b87b4d2165ffbec1b5b19d,
'klc': 0xf2e99bd07d1480cb1d7f709d4a839935,
'llc': 0xc1524ae641331d483f7de1d65b5accde,
'mlc': 0x1180d6c0528132e31c0429855d84a7c9,
'nlc': 0x0f05d836c9e80b9558421719491927d7,
'olc': 0x45925a31fa7700a783511efb253fc5f5,
'plc': 0x745e990d9f8ce342b565dd79b184da2c,
'qlc': 0x7fe86819c1d8dd6cf1f85e93b75c4a38,
'rlc': 0x3298c73d6ed6d9390ab4e8a9604d5e14,
'slc': 0x69314f8ffb749a3242ab786e891c4697,
'tlc': 0x017a544acb713ac3b4c46402c94a07fc,
'ulc': 0xd8236151193c0c4c43a234bb9cf48aa4,
'vlc': 0xe9c4eeccab947f986ca992f0ce59df74,
'wlc': 0xc13a8d9fe27f53c265a1139e0c5fc3af,
'xlc': 0xcb830c62d8c5afa02afc9a00d51528b3,
'ylc': 0x7b0df09cd505fb7a8acb9abdbda6d3bb,
'zlc': 0xa56f92671021b4a143b2b670e41b8c59,
'amc': 0x3654b34017508a963ccce2426e91e4cd,
'bmc': 0xc6ad0c4fd2ecf1c208341f364e965709,
'cmc': 0x8010fd0f87d3aaa0ea48aa78948c081e,
'dmc': 0x405fe4391be6c286341a2c4e1ac3429e,
'emc': 0x9bc93c71e5c1dbf0768dd7da3322901b,
'fmc': 0x8ff02d17ac993f52e785de3702e69e21,
'gmc': 0x19b6b9192d17760f89de4817bfae42bd,
'hmc': 0xcf82a9577f8e6fa17ce3ccf4daaf94e9,
'imc': 0x601dd4047a1b7be8c6d9896b80447d5c,
'jmc': 0x2b044c7f54df52545e7ef5717efb2415,
'kmc': 0x9135e112fb07857c3d85803a254b4d21,
'lmc': 0xf26af2dd512680dbcb6463db90985664,
'mmc': 0x1725cfefa41bac1149cf07ce408bbb9a,
'nmc': 0x1f285fa4ce68efd5e697bd8301835c72,
'omc': 0xd30359a56fd53ef610b3cf9ad2176eea,
'pmc': 0x04130da60e65c7800006cd7886515b56,
'qmc': 0xf9cccdc701f9d34017e0a11f11db1bfd,
'rmc': 0x860205b00a059d8d469d933b9d6f6416,
'smc': 0x52c6aaca28a6b621abae2db20e887dd7,
'tmc': 0xcc4774aeecab88f14aef2a30ca324f7a,
'umc': 0x46febf45a49404f23bb7dea5ed6c64f0,
'vmc': 0x22b0614f106e2b7c956c60c8fc0d35c3,
'wmc': 0xe06e46026bc2c7bd5fe1dcb42b564ba7,
'xmc': 0x31746cb42772840fade763a887c1e221,
'ymc': 0x72278030dabf8c487c1730d4a18da290,
'zmc': 0xc9afdf75f954fd191bb68befde003543,
'anc': 0x0b05a0d8cd79e3897c794d8cf89c3207,
'bnc': 0x1e57b7f7e95ba20c99a5887d2172f753,
'cnc': 0x6d77ac81b6104240caaeae436acd8393,
'dnc': 0x7be66dbe15285cadec3550a7dd21e892,
'enc': 0x41bb118a714b344c24603304cf716c96,
'fnc': 0x8fd11dd170fd0262942aea685c02a52a,
'gnc': 0xf17057e33f3e97eb2d2e5eb2b8526f70,
'hnc': 0x36de6cdfb7db25235d9f193157da63cc,
'inc': 0xcf9f3fde7326f1d8e64205f0e07a3695,
'jnc': 0x21cc5012cf5c29fd3eedc2a2f1eaaa87,
'knc': 0xa34cb26c35c3cf9b4f24e4f56449be49,
'lnc': 0x1da42144e4c8d7a4a216c16ad35333fb,
'mnc': 0x06b53047cf294f7207789ff5293ad2dc,
'nnc': 0x5c5ec11d60e9749a9c55a41847276711,
'onc': 0x0f96c74683ea68abf8dde8e2a16f07b7,
'pnc': 0xa249368f2cd1048692453ad95620f4ff,
'qnc': 0xe649bca9adfb387e66caea238d5fbf66,
'rnc': 0x4e8457c1011a1c0b3b1698dcfcb135c1,
'snc': 0x4797d6c9a384b9d252cb39a172693d14,
'tnc': 0xc775cf954921a129a65eb929476de911,
'unc': 0xf56681194ebea036dd1297f1184bf7bd,
'vnc': 0x7ac69cf2e1141a19ecc0355519d41d43,
'wnc': 0xb39a534283e4f72ee017cb463bb820ad,
'xnc': 0x93fec1eac91403ba739426470e766b63,
'ync': 0x32339c25484612271d45a0fad5020bd5,
'znc': 0x182f22a320edbe872bc487ff244bd9de,
'aoc': 0xd07c65135b3478e63420aa39b1b028b9,
'boc': 0x94931e4a3036baeecdacb975e10a8ec6,
'coc': 0x060a8d2168077d5c251e11ea6b7240d7,
'doc': 0x9a09b4dfda82e3e665e31092d1c3ec8d,
'eoc': 0xe2b21aece1b9f853bc86e1b7ae8b4812,
'foc': 0x7926bf1ba1f38670f20d59d8da8f86e1,
'goc': 0x6d4a5d826b43f9417532ad2849c1216e,
'hoc': 0x61b54070e792f37e7749195343cfb67e,
'ioc': 0xe03daa7651c34372b0bf8c442bb00813,
'joc': 0xe7beb058be876baa172388d2012bb69f,
'koc': 0x7a5036a6fc4138573e9b378fc39dddca,
'loc': 0xce04bd8105c135f89b0dfd5d9c1e8c5d,
'moc': 0x1bd86af0360bf008cafd50f83de3d025,
'noc': 0x4a5e687705bc436b698d9c28cffe9e26,
'ooc': 0x64e114f6a70889b0d4778c8ba2548a2c,
'poc': 0x302fac1d6d73cf4fdf2c9919195df864,
'qoc': 0xf5fdc4848dd1c02ae8f4d376d927f55b,
'roc': 0x042dd99eb0ff8653814e445ca0093427,
'soc': 0xc7d5f8495162588e6bb8a9e1975c45e7,
'toc': 0x03d5fa9d21dab14f4f0df57628425f30,
'uoc': 0xabf8412b7c606f8acd8b58968e9b4733,
'voc': 0x1b5fc1c8c4ef246585f7f1dff06e6bf0,
'woc': 0x138014aadcc837d4f473dd0e2333b9f4,
'xoc': 0x4a594de09295819539bd489716b4c76a,
'yoc': 0x8bf25aa12adfdb5479495efa98b339da,
'zoc': 0x501a3a809983cd756b7b65fdd2e1438c,
'apc': 0xcbdeaeb2cf5b812c628b2325bcc4c560,
'bpc': 0xbf7b37e336ce9886add64889821cd674,
'cpc': 0xae24ac2687d344b1435c2bc3e77030b5,
'dpc': 0x4bcdd94dcac1f8d0cc11a08c2aaa6c6d,
'epc': 0xb7ba6a700bdb1fac393630929bad3815,
'fpc': 0xfda3c56bc2774b18d025db6aada9e055,
'gpc': 0xd7b1de01d60a4b3da75369194d2b57c2,
'hpc': 0xec18c168cc9b0e01c6e62427c66f7002,
'ipc': 0x5ac8bf6fc7652745573f0ef24a8ab513,
'jpc': 0x452dff54306495e1b48f832a66623b16,
'kpc': 0xd392b9dce5ec24575df83221f3335b6c,
'lpc': 0xb8f1f66c2655029be78f514661d618d9,
'mpc': 0xfef8195510dfdb75e45f089c9c59490e,
'npc': 0x1579b7fb48b3bdb81d6e6d7f30b734c9,
'opc': 0x762a2206fe0b4151ace403c86a11e479,
'ppc': 0xec3dcae5d6123dcdeec5fee6f696a7c1,
'qpc': 0x1f31772e4a6602dead3f4b3d51e24f13,
'rpc': 0xda0fb2ac892daab4810fb781272173c1,
'spc': 0xcdc8d9bd665a7a390e88b9a5ddcd23c1,
'tpc': 0x2dcea44c952d2606b63431afbe2dbf3d,
'upc': 0x2f9e567efb6a38663162f65eaac2d73b,
'vpc': 0x3918767c49f0151791236f3b99d1ce7c,
'wpc': 0xe48f07f9bb4d6741ba29a33569b335eb,
'xpc': 0xdac294fa08da465d3738255fc128ff20,
'ypc': 0xa8f5d3223ed7e96cd2f8bb91fa04adda,
'zpc': 0x68c2bdc04a32e4836eafabd3dce1bd50,
'aqc': 0x0c0e83b1f5755061315e14022395370d,
'bqc': 0xf6e5f462fd3f5a922cac9ee22da5dcb9,
'cqc': 0x2b84cadea0dd3b81dbec433707ed790b,
'dqc': 0x6659d9e426bc34eb406da120b965ac94,
'eqc': 0x4266f6317eeddf6bdce901ed911c23d2,
'fqc': 0x6af87b93dda331d98e65ebad9558e358,
'gqc': 0x968c5328cf68d2d613b4b65f4836838b,
'hqc': 0xcce9ceb2f4d1d84f137306bd23fa2df0,
'iqc': 0x804c31fad6037ecc2697b2ea7afa7288,
'jqc': 0x6667d3426c509725416074b95031f565,
'kqc': 0x850b48afc7f14f07ead46451afad42e5,
'lqc': 0x1d77fc74a6239c0770bd329d1b3e5722,
'mqc': 0x330385950ae2fd78358a8b328e7e9c67,
'nqc': 0x7caeb9eb7a0c453f13e184419bb7d3ff,
'oqc': 0xb830c14f41a02a2490ced788d07fbc60,
'pqc': 0xccb008a921eafe9a5ef4d4d0cf34d4da,
'qqc': 0xfa83b3fe19d8b3e15dc7bb37c96ab9b3,
'rqc': 0x67b0ac3e3797ed4df66861163d14846b,
'sqc': 0x99cc66031b5a419407ac5c806a553e5f,
'tqc': 0xaa17d94f2029d0b7b4da8fefda2e2671,
'uqc': 0x65b8c1e10974aa7ceb1bae48901a0a61,
'vqc': 0x4031e3a5fb76f0f3201fd2f5071834c8,
'wqc': 0x9808bf8e82f3d7ed5c03e822d1665237,
'xqc': 0xf5c295813cb537ad99034eba8187a522,
'yqc': 0xdb3af70b083f23eb6ea61ed2aeef57b0,
'zqc': 0x4116dd37ac08486cb38552219956aa50,
'arc': 0x909ba4ad2bda46b10aac3c5b7f01abd5,
'brc': 0xa7b4680ffaa097b0b7caae1ea1a4438c,
'crc': 0xf5ad59c5401fea3f2df0703d958fdc97,
'drc': 0xa8f33deb6c41ca27be76f9c264951596,
'erc': 0x5ecaf0d3af3004219bc6b5907d19b6d9,
'frc': 0xf964379c80b1ab8b890cf40876fbd0aa,
'grc': 0x365f939403a7e61514b0f74b6809290f,
'hrc': 0x46b9ab5aa12ee38d44f3475488395634,
'irc': 0xeb15301d463a9ce20497702ac91d1a0e,
'jrc': 0xc2f95c6173a5459f5b94c68b5b7045c5,
'krc': 0xd605072a746a1caef235bccd2aa0eeb6,
'lrc': 0xb38fb1fa9954b59f99616b0a92af400a,
'mrc': 0x1cb9596773d55a2aa7cf5eddc6fbd633,
'nrc': 0x5212324b500df4fc03173fac88b3219a,
'orc': 0x8f5d7a7ba17f8fd9c9fc1edc2770899c,
'prc': 0x5730376dd0033959ffcb14cf25ccdc5c,
'qrc': 0x737625b87f8748eb77f118d968d93472,
'rrc': 0x7f24286285fe0d25399b6152d117d7f1,
'src': 0x25d902c24283ab8cfbac54dfa101ad31,
'trc': 0x500b8afdc35b66099d38010dc4e0efb7,
'urc': 0x520d6c1d66283ee184c675f6807b83fc,
'vrc': 0x68f492f37e310fefedeab20c65329a0b,
'wrc': 0xce65c037472910e26943fdafa0c8a287,
'xrc': 0x989a843ba8d5c9168dfbae3ad32c72d7,
'yrc': 0x8b9f4b370a61e424bc693bbb7ab96292,
'zrc': 0xfdfdc143a522cc00fa1c7ecfa1581318,
'asc': 0x375a52cb87b22005816fe7a418ec6660,
'bsc': 0xb6f6b4efd9391d1fa207d325ff1bbd60,
'csc': 0xee7ddfa19482e219fb5021ec30bd975c,
'dsc': 0x9604ba9427a280db542279d9ed78400b,
'esc': 0x3f0e951cdec5a39685cb08fa6edc6094,
'fsc': 0x26d0e472e93a1a01aee710c6c4d07264,
'gsc': 0xfe12b7693c3903b051f1e37866ff6fa5,
'hsc': 0xa7f9a093d4945aab2be5b0d912193491,
'isc': 0x351a1d2ad68bc401c305b0715268ecd7,
'jsc': 0x1b86f7ff4a01b274d16d4bb38dd57b58,
'ksc': 0x902f66712b8275bafa227211ac47c5d5,
'lsc': 0x6f6c90e968a4adc904152244698d1dda,
'msc': 0xd03669f5c488f298971eab8a42c738a8,
'nsc': 0xc9c0aef4639ce6172054940c78eb5f66,
'osc': 0x3af0e3bbc3d4c00ac8294887eef91280,
'psc': 0x3b94234bd8aa4058536b581bc3171d4c,
'qsc': 0x691b1051c831ed617945132f4e8c7bd3,
'rsc': 0xeecd67b7d03bab4a6d76100bfb9b677e,
'ssc': 0x27aac09307f5a0863d8e1dd8a4e3e76d,
'tsc': 0x3c33894421ec07809347e7b0b7b19359,
'usc': 0x9358ee7c06a9463adfe0c9e8ab6c2257,
'vsc': 0xe7bce78d4d94930210876d3cc24d0476,
'wsc': 0x8abf50cf557512368d7e8384c3513508,
'xsc': 0xceafcfd07637a2a93ffc070e8884b313,
'ysc': 0x842d9ac7b37fc0ad754e76b3ebd7165c,
'zsc': 0x55c8b6341d0a4787523d5b46d7b748c1,
'atc': 0x1317d6b009792b685bbb2811bb858ffc,
'btc': 0x1c762234363a3edc10a2930d330db099,
'ctc': 0x07fe9417379102199a4905bba9447d9f,
'dtc': 0x3a5ece8164238d20f96dbbf5cbabd813,
'etc': 0xe80f17310109447772dca82b45ef35a5,
'ftc': 0x6e861d5a78db23fe5ba1a79ae9431173,
'gtc': 0x3761e7920c97542314b1aa50434f9293,
'htc': 0x4aab4dc9bfbbf4c1f087d9721ffd8582,
'itc': 0x6a67dfc8c2584354e4c8ce9302da7dfb,
'jtc': 0x59456161420b8856ba4d6199d60a6cf0,
'ktc': 0xd4e883eff4abad173c66a78da100b41f,
'ltc': 0x90d9d5d7e72b9f5f385555845ecb8a25,
'mtc': 0xcee1b10636aff1b4bc0dec7c0adbf24e,
'ntc': 0x6758344f9f89d390953c6718f34e9be1,
'otc': 0x76d29a8e75a162799009efe4787ef98c,
'ptc': 0xa32d2d05aa5587ace19f9f5d8f7be793,
'qtc': 0x76de2ac24c6d4baf080824653728b647,
'rtc': 0x68154466f81bfb532cd70f8c71426356,
'stc': 0xe725df0794b817f84db1e813c3512b21,
'ttc': 0x81159ade18889769afc1b7f57c192b4f,
'utc': 0x52d33cb937bbdab234ab1729a0f8225b,
'vtc': 0x2be94139655922dfda4f5146b3d6e9a0,
'wtc': 0x27daa922e196bd91a0fe8cdf922591fa,
'xtc': 0x72e412909a738dd079f71e13c04abbf1,
'ytc': 0x2615b3080568e41d7ba5f6cfd5a5cf98,
'ztc': 0x405450617fc55b98a79696c900c7e3ee,
'auc': 0x889f115d4cb495d9ae44bb311845dd68,
'buc': 0xf1c14e4a39d1b50f0fb7ea6beaabdb6a,
'cuc': 0xf1f4e30acef64bd0d346b050e73289e7,
'duc': 0xf1a3fb2d6b5976af47a5113ce2e03fdb,
'euc': 0x9e3f57c552205bda4ac98e1783bfb49a,
'fuc': 0xbd1e3e31eaf230be358cb83ab0119563,
'guc': 0x42df46041b2ad65fb82fd212d2c8eda2,
'huc': 0xc62508abd312556ee2700a67649a496b,
'iuc': 0xe7501301ee20d8ce33016bbda86f0951,
'juc': 0x20e9794b7ee143b3f66d7126e73ba57e,
'kuc': 0xc7ca4a922350e33c91d7b255d73c721f,
'luc': 0x2e6fdbc573b2975790d504991183519e,
'muc': 0xd39b3a2bd15b5aa12aafc6dee064dc0a,
'nuc': 0xa9fb6efcf3b9a0a32e1f91296034e993,
'ouc': 0x7658b68c34f39081e197f08cf3ab3e77,
'puc': 0x394e7db687c7b5a212541c28fe6ea1fe,
'quc': 0x9c575de139136881d188c0d657764436,
'ruc': 0x21d0e26d0b99b0d483771d5426e8c5aa,
'suc': 0x1e0711f14f527fa4d4aa10f08eb41fee,
'tuc': 0x85b298b2989817dd30458e2bbdd19823,
'uuc': 0xf21d5fa0fbfa49a89d4571224a90ec08,
'vuc': 0x86f2a60db45f263dbc52e7380dadeb6f,
'wuc': 0x75506eb555a9bad409a71c7d298aca90,
'xuc': 0x93eb91f6faaa1f3a7e6e9eef6a7baab1,
'yuc': 0x40c7c32e6796bfbdd1a0da27091d52a6,
'zuc': 0xbe05713f3b2aeaa387ed314c0e1e654b,
'avc': 0x75d22b7a1b5be026653445831b9f0c61,
'bvc': 0x7486fc6c0fba42e3300c2910ac5f87ed,
'cvc': 0x12723ec657afee32d2c4f5bab658d9ad,
'dvc': 0x14ffd92a6cbf5f2f657067df0d5881a6,
'evc': 0xf0eb10e0bfe52080f17e630f10281a4f,
'fvc': 0x7685b0ad84dbbd6781c8781cb125c561,
'gvc': 0x8dc13195eb4dc12a8bb7ed77b84a0f51,
'hvc': 0xd8bb5ec17cb4e92349033fedc3c917c5,
'ivc': 0x62fe2b4bb4eedc1b6b61f89da8c62080,
'jvc': 0x329561adc9d60ce7dfe84ce5293d9f2b,
'kvc': 0x3c0d0c79d44d027e0c74704930b760dd,
'lvc': 0xc77980eeb8a2fd2e78ed27676b862dd3,
'mvc': 0xbf3d6d02569807fa3e6df7de1838dd26,
'nvc': 0x51ec797e647dd66d43a0101ccce411d8,
'ovc': 0x221274872b1dc898aa4e8fe686500ba1,
'pvc': 0x642542e40351edbd731ebad352b31317,
'qvc': 0x88965d2f7c6fda6f18db83d9c68bfe16,
'rvc': 0x0b48bfefcd1dca35589c9a19046fbf94,
'svc': 0x961e38b5146c0b07d078f53dec9b699a,
'tvc': 0x729c37a1d3319ee21991227b1f84c687,
'uvc': 0x81aee7a2b446ac7652ec2132def0cf95,
'vvc': 0xef6f6271e8850285aab462b832d261b2,
'wvc': 0x0e57760807081053face17bb9d7bca5a,
'xvc': 0x85be2c2ca4667528b4efceda87b6230c,
'yvc': 0xdfa22cde8a946a906909ec4d2a8a73b5,
'zvc': 0x89d07dd213c7791c4711d57a4b41fe7a,
'awc': 0x8d9206dce14fc992d18207c04ba10770,
'bwc': 0x7c1d96331c01728643c3c3d1a6a99aef,
'cwc': 0x33a0d2e93e0ad396b7c9374bbbc83a58,
'dwc': 0x8c58838431512b11fb781639bdd6dc01,
'ewc': 0x65ca649900dfc0e5816c287d81b6d55e,
'fwc': 0x382d1621debe3fc01c97de984219c80f,
'gwc': 0x5d3127455c77d2e5c139772837f1ee1c,
'hwc': 0xb1429df9360dc9d3a838fe38dd53c741,
'iwc': 0x0c760aac26fadb53c593bfa94f2c82d4,
'jwc': 0x991dd3cda0962cb55432d76cf03359f9,
'kwc': 0x0a60bab54d04583d7245bb1d4aa53209,
'lwc': 0x1db81bed78eda3b7f87b1b463a51dc20,
'mwc': 0x4c45581afe8acc7c8f550136621c9588,
'nwc': 0xccc0543dc9272f9fffd720fe55f818e4,
'owc': 0x598f8a6c2a5db6e29d86dc800ace4b89,
'pwc': 0xde9eb4f510fd5b7c1314d9f9b37e43f8,
'qwc': 0x06002af4ae19dda3de554c3619b866a9,
'rwc': 0x0895b8b08226828b293cbaab2d9d66ff,
'swc': 0x96aa0444f24af54653301824b0334584,
'twc': 0x975cd70e2de25291acc0efc98a48935e,
'uwc': 0x9c4513c1be05305e882aa75b10ba0665,
'vwc': 0x2357ed490d5ab1285207cd6830b41d98,
'wwc': 0xacaf35c838d072a69d389ebd326157fd,
'xwc': 0x51d82d42eccc852f7a4e71868437d491,
'ywc': 0x18c843721763bfaed298d0d080f05665,
'zwc': 0x0b2909b76958c41f7de3d6a32d2c7760,
'axc': 0xfc994e5c1c67757d0d52e3fab3b7108d,
'bxc': 0xce6ae674dc4e9b7e674d0df31e3f539a,
'cxc': 0x960a94ea9a16df253da3bb4f5545eef8,
'dxc': 0x6863e2f52513a3d71d8391b50150de35,
'exc': 0xd517b2729e14eee23a5cfabb90a4302c,
'fxc': 0x605680c58bfedec16ce665e867248b1d,
'gxc': 0x35229f8612b462e2509bad70e27242a9,
'hxc': 0x057c60340cd14a3ffa2bfb7cfbd7f88d,
'ixc': 0x9fa1d44d7ecc977f5466302f10d98dab,
'jxc': 0xd9d85cd334530d9fc1b174bd1a97dd18,
'kxc': 0xe2819fd981ac0f52db7e7787a6df76fc,
'lxc': 0xbe1b5e5e3a30f5825d7fa207ce95522d,
'mxc': 0xb0165e164b45081796bdd6d4edc3500c,
'nxc': 0x0d4039cfa8a953307c370ccfd8496a4f,
'oxc': 0x26387a7822e19510d0bdef51f4dda24a,
'pxc': 0x5f6bce95a50d8f455710bd929e084c2e,
'qxc': 0x09ce8cc1fc9e636250fda8164998c87d,
'rxc': 0x3bec4b3a04909e338d56981cb40d1126,
'sxc': 0xd31374fb0938daff93a845678874f55c,
'txc': 0xd34475735714adfcb5ec3a2cd61cc6f0,
'uxc': 0x9eb0c5f10c57a29bbf947791b2be6e0e,
'vxc': 0x73fca29f79c29be0aa0a9b416f78b07f,
'wxc': 0x1fd3c4ef39f3723f137fb9f778be8bef,
'xxc': 0x9cb19f353255a6b9b50253a1e6c9c870,
'yxc': 0x34475d2aa46910d5bd542237219fda71,
'zxc': 0x5fa72358f0b4fb4f2c5d7de8c9a41846,
'ayc': 0x2b91d69114c2b3ac1d75ae674f56bdd3,
'byc': 0x9eb6e809cdd682ea0ee156ca8197d9b0,
'cyc': 0xfcb03e26c61229f7a3fc0883b4832072,
'dyc': 0x5e484c5414b9bb52165d85ebb7ca1f89,
'eyc': 0xd98e6d0930ae7af2afe4e1acebbdc9f7,
'fyc': 0x43fd141a872aa7b7ecf7edc672aad4c5,
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'hyc': 0xe264d30611ca1e8d2d859c3e19e9811e,
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'kyc': 0xc5d750de7f03c892d99a58527033cda6,
'lyc': 0xefa664720fac0075674862b40d490830,
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'nyc': 0xc9417a7325cb10e8260e3582392e3846,
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'pyc': 0xe7bf4dd51ae59ca156ef748c0d10089c,
'qyc': 0xd2341b9bedf185dc239f0387966df91f,
'ryc': 0xe41382b259e6d1c57458bfe15cda40f2,
'syc': 0x3b9379ae655db26803d144b64d005a62,
'tyc': 0xccb7e786706e39bb3ec404bbe0c7b9ac,
'uyc': 0x9f4cf3b4df1aecd1604b82c6f9f41e75,
'vyc': 0x3655e2e64d72be43daec1f8a1e5baf45,
'wyc': 0xaec5e388cb6924809ae143e410e32433,
'xyc': 0x722da59d203a5e513897696f6b6d8650,
'yyc': 0xb9d0aa4dadc4e10d5e83b1ad54c8332a,
'zyc': 0xa529a8a1b993705cfdf6f9b48b1baccd,
'azc': 0x356d3da179d387fa3c6e4cc9bb4b394b,
'bzc': 0x6d00e697f7705ab2eb7166fe884433c4,
'czc': 0xe2549172457ea725492eca0d353a18fd,
'dzc': 0x332e6f2623cad3cfe0bc4f7fab19fc5b,
'ezc': 0x2749c4f9f1c70a01d0dfce0da089a119,
'fzc': 0x478b6d3e6dabe4f7e83d776445769160,
'gzc': 0x540c6ab9a0801d5370a1325754c348cb,
'hzc': 0x609998e17d311d9db4023d67218df0a9,
'izc': 0x640b030a6a30e8652b327288dba46383,
'jzc': 0xfdc63db7396a975372347718cc7a3a2a,
'kzc': 0xae770e3c95c9b6a9b3e6cbedcc100183,
'lzc': 0x9d0f18cf32b0a432031c68c5cae3d587,
'mzc': 0xca1a3ed77af3ce12bf5edf653e14d0a4,
'nzc': 0x0bc33f48fa8bb0cab59bad3dd0afee48,
'ozc': 0x8870cdf867230647e30d6ade98e29502,
'pzc': 0x52eaeeb9823b8801c1ac4b7537232d38,
'qzc': 0xc0898a551cbae98d30c25b576512f92d,
'rzc': 0xe9b96efffdc1a5ba3e8af84601a23559,
'szc': 0x31c5b528be93a59e414f8a6b43fbc3dd,
'tzc': 0x39e357349a7c60598661f57b74871ecc,
'uzc': 0x753222936543930c21f3b8a9637189ea,
'vzc': 0x600ee125112eb86bea9b719667b4bf56,
'wzc': 0x85d3682fd5ebc4a600a7200ac7b01741,
'xzc': 0x6d9821a608c387f35760a5f0a9ef5030,
'yzc': 0xad3f1144af25534fc651171b3130656c,
'zzc': 0xbded72d34c9689cfcd895ea6efccb3a7,
'aad': 0xc2f7ab46df3db842040a86a0897a5377,
'bad': 0xbae60998ffe4923b131e3d6e4c19993e,
'cad': 0xb5fde512c76571c8afd6a6089eaaf42a,
'dad': 0xdf3939f11965e7e75dbc046cd9af1c67,
'ead': 0x6f278f85c688b6cf275730b90ec6096c,
'fad': 0x901695fb1e54f4a451ba70a6e45d9d8d,
'gad': 0x5cd1a2c6812a26f4af0bfe8eaf6422d7,
'had': 0xa1e6cd7f9480f01643245e0b648d9fbe,
'iad': 0x79614d156696432da81e72b90d8cfb09,
'jad': 0x9c8c81f0fe707792c45e2538c8d7dfbc,
'kad': 0xa946a7021f0ada61055216ab21dd4160,
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'mad': 0x7538ebc37ad0917853e044b9b42bd8a4,
'nad': 0x938a800650dda9e8aba505177c4cc6bd,
'oad': 0xbe1ecb67050e4b31d0ae46cb8b306356,
'pad': 0x4dca00da67c692296690e90c50c96b79,
'qad': 0xd601470f41a1487f4dc2376bd0616da6,
'rad': 0x340f7c2dcaedeae68e4a62c281c7350b,
'sad': 0x49f0bad299687c62334182178bfd75d8,
'tad': 0x3e391ab759390d3f2fb834431a494f58,
'uad': 0xab68dd90bd23234ff613721c17d1cc30,
'vad': 0x1225483c97b36018cab2bea14ab78ea6,
'wad': 0xc389f0f28ae2d2055b0749d13edf426c,
'xad': 0xb3ceaa511753dc06d7d397b89e803ea5,
'yad': 0xcd7ef0d9aa21a51918377a4fb60a1dd6,
'zad': 0xea343e69739e5bea48246c63782cdb95,
'abd': 0x4911e516e5aa21d327512e0c8b197616,
'bbd': 0x4f208c522ae36c3e2f0f96291ba4f8a2,
'cbd': 0xe8c71ae8260892279214998d56e55b8e,
'dbd': 0xc072f66d1530f8c07333fbb03fa7477e,
'ebd': 0x13240f5e323dc07cc6fce5e2641a5ae3,
'fbd': 0x704a9613f075f9dafff1a0146b76558e,
'gbd': 0x5152fac8a7650c9b0a415623bf5bbcca,
'hbd': 0x3601890e93a0a687c7c6cb497eb70dde,
'ibd': 0xe7e1ee8e47cf7bea2ea41cc5eddfbc1b,
'jbd': 0x3580b15cba1c11b1b2f0c4635fa27be7,
'kbd': 0x8c0351d5b7d6c477c14693cc53026b9a,
'lbd': 0xc54243e335e97a760ff4dcdbfe2accd8,
'mbd': 0x7479338d4e6a6508c821fa4f4b621b36,
'nbd': 0x1373d0cb4ac444c16b7b2e6f8f402381,
'obd': 0x937d2d47530fd6d2d5eb1825df0018e9,
'pbd': 0x2ee67b63489f66e377623ed508bab6f2,
'qbd': 0x3f7eb87a46464056cf85eeb3f811f8a6,
'rbd': 0x22f1ba5b5761f52b30eb5311feeb0cee,
'sbd': 0xb98d50c159a938723d8eb8f3039afab2,
'tbd': 0x9a4b91fc26fa67ba8636dbfd29d004f8,
'ubd': 0x877415a294952763559da2a75fa3a96e,
'vbd': 0x20ab488d9b8bc99dbcc909aeddf6e27d,
'wbd': 0x9afe8b48125122403b10c3683f296a69,
'xbd': 0x9c7ffa3dca9fd35aa60684e9e1f5765f,
'ybd': 0x468d33f76cfcd590a77380430d68ce24,
'zbd': 0xc5526a5f8876bf9b00ac3bb6fe577214,
'acd': 0x37029430cfd06ae2a279cc1e2504e7c3,
'bcd': 0xd4b7c284882ca9e208bb65e8abd5f4c8,
'ccd': 0x3becb4d7181c01bf1403c02fdfebe147,
'dcd': 0x7b16783a9d7ce44e12deb7c9a372a027,
'ecd': 0xdf55215a72c9c74bc47076f59b5b2ea2,
'fcd': 0xa9f05953ecfdece37960c0a531627f36,
'gcd': 0x331a5d7e6ea1f9e12bf294b4dc993e64,
'hcd': 0x7b92b307cbeb8741e73b4c155593d49d,
'icd': 0xa63e7e0a7afff98c8da85ee146db0abb,
'jcd': 0xff5bf73010aef4fc80f3c5f3cedcb5f8,
'kcd': 0x471e6742e800217ae15778c2c063495c,
'lcd': 0x6fd473c94d954f6b2d202ff08c362fa0,
'mcd': 0x8322a5e1b691bc6d2d90c7ff444ed772,
'ncd': 0x47a81cd0033c74090c4232ac0c2a123a,
'ocd': 0x1fad7e436a6cdec12cc4dff913e37f81,
'pcd': 0x0f7e4b949f5d5745c3e83fd364275ee4,
'qcd': 0x7a7540196c715647240688ca6e44c134,
'rcd': 0x5e66e01c4295b6114e6651aa3cac6338,
'scd': 0xd8843589f5caccfbc7ff58bd367db8a3,
'tcd': 0xbbf4210aa2483e4ef6232214d0f44e46,
'ucd': 0x1ba26c661254821ed6845231f11873a9,
'vcd': 0x935c34f94bcb203a6a5a2255c3cebffa,
'wcd': 0x56044ca5d657b9882d608eb6d843af7e,
'xcd': 0x65ae50fdfb7f879ac3e1b05b54123ae8,
'ycd': 0x484c14dce5097eb1739490e2129b02d4,
'zcd': 0xe8009c39747a571a096dca0d624cd64b,
'add': 0x34ec78fcc91ffb1e54cd85e4a0924332,
'bdd': 0x61de962f19b684dc9ce24c0fdcdbd0de,
'cdd': 0xf8cccb0199e12f97e1f807872cf7a8aa,
'ddd': 0x77963b7a931377ad4ab5ad6a9cd718aa,
'edd': 0xa8ae67a7d91a310d67c643a73cb9d031,
'fdd': 0x3c5c7ef80bf7defa378f561073d3ec43,
'gdd': 0xaab1f8f539488237e947c8006b4a95e1,
'hdd': 0xdfdf2b9d5b3a77a55769b11d8a0396fe,
'idd': 0x48f4c41602db377162da108a6b26c747,
'jdd': 0x4be8083328539dac11c872cfd041d19c,
'kdd': 0xc9dc96ce6280d0621b7805b067168964,
'ldd': 0x1d147bb8a94f18cb543eeda72189a3ab,
'mdd': 0x2be7d7e09b2268200167ab05e219d46d,
'ndd': 0x267712a0135b511f5cfdb94c8dd409bc,
'odd': 0xa2b6f2a6066ed8700d83335fc50a2b8e,
'pdd': 0xa025f0ecbc7ea235af5bee1ceea8e886,
'qdd': 0xa10354e534fa346f54766f0f8fc980f8,
'rdd': 0x930fcefb1def093ce498ff159a41d18f,
'sdd': 0xe256ee7e3632912a9c92d7b6a0e5da1c,
'tdd': 0x66d26512fa77cc5ff934201903dd7482,
'udd': 0x0c12d6ebd3e8747499ab533400b07e16,
'vdd': 0xcc928348509eee40e33231a524f2b3fc,
'wdd': 0x7918271a41fd47bc935599cd855e9010,
'xdd': 0xe0ec65fcfcf174244bc6201ec441d367,
'ydd': 0xf5b1a3f52a6993e24785086ae42e05fe,
'zdd': 0xc001f20036c6498c479b2de0a7a1c73f,
'aed': 0xe2d24373d6aba4e0ef4ec74a92b172e8,
'bed': 0x001cbc059a402b3be7c99be558eaaf73,
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'ded': 0xb59d9f9e843dedb09e407849f3396cb1,
'eed': 0xa608a24ed70d4c1103ee78f2da5d69b4,
'fed': 0x02592d82bba02de324f72496b393d16f,
'ged': 0x51072799958f8ae0d7bf4b415116ac47,
'hed': 0x28367df7494bdda353497ac009b0751e,
'ied': 0x181bdbf3fbc46f7b2ec05cc563bbdfd3,
'jed': 0x25f486ef10741fcb9cc5ae85597f9cf8,
'ked': 0x99e53fad809ef372637bddd5cf51d287,
'led': 0x0b98f7bc56c6af56799347f69c1cc770,
'med': 0xde4667d1f44423b565b07a7bb14790fc,
'ned': 0xf68daad189b2fffd0b8cab5e36ec9d96,
'oed': 0xa95548be79e79fa1a9b5e633793d421c,
'ped': 0xd1fa391fe14ab8cc402ebda0587c1573,
'qed': 0xce2717a78ab0e55240a3aa12ba45148a,
'red': 0xbda9643ac6601722a28f238714274da4,
'sed': 0x177544aa797af6f322f8caa5e80e7f24,
'ted': 0x870fa8ee962d90af50c7eaed792b075a,
'ued': 0x69a349f0dfb7ba3ca80d8e1c5041c5df,
'ved': 0x29e0461b02c078c89c7b2ac0b29fbfaf,
'wed': 0x42647ab608c1dbafc2b378c45dc7bd8a,
'xed': 0xd114482c8758b92b9c56c95d18efe926,
'yed': 0x9945b892f55ed7331e54bd8c54a90107,
'zed': 0x89e3eb66497b398d7d2250f0093903c6,
'afd': 0xa5e873b0df0da2a1a057b4b272f88ba6,
'bfd': 0x93f91cf4f964193b8ad5905a4660ea35,
'cfd': 0x81d37ce432deac7aaa9702a64726f047,
'dfd': 0xd926d7bb9ccf46fc04a61bd65d87b9b3,
'efd': 0xc9ddbd1c832b879ddc41cc06135adc80,
'ffd': 0x0c1b3cd3c593655ff1fab8837a79d235,
'gfd': 0xf2a7e899b5af7365d70d252f3fd387dd,
'hfd': 0x14b1e54aa4b2db3aad08df0b505b1b71,
'ifd': 0x3be4b59601b7b2e82d21e1c5c718b88f,
'jfd': 0xbb789f01238ba02379a37e5a0ee4912e,
'kfd': 0x1fbe5bd0197412d6df63530c9f7fff6f,
'lfd': 0x088d559584c8348f90db83ffa425b089,
'mfd': 0x4cea3df6615b683b7faa3b2cd17908ad,
'nfd': 0x6caf8d04636c1659eb0e17f9662196da,
'ofd': 0x6345f55878adf0d9ed7bcd8cb3e77537,
'pfd': 0xd83d3148d759bf796b4f08f5d4167bcf,
'qfd': 0x5360d39d07f1b7d2a3093392377dc03f,
'rfd': 0x01c3224eee3df2e5a57d06e46a7575b4,
'sfd': 0xc15291784c5c9ff1ffee12d66399ad80,
'tfd': 0xa66f314b53836a916f195b42fa27c68c,
'ufd': 0x7d358b09d1cf2f208a8b416a9b6b26f7,
'vfd': 0x4a1ae4264d31385c9620c210f484b39c,
'wfd': 0xc438eedf39f21ddbc723b55b04484857,
'xfd': 0x7256445341a06f1a185bdf3d797136da,
'yfd': 0x22a2bd5ccf213c99883788cd5f03bd79,
'zfd': 0x2178d413e791e0341fedda846b694b53,
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'bgd': 0xdd6c0577d866e8e5bccffc6a1562e8fd,
'cgd': 0x31b176f5f6deb46651120413600b02b2,
'dgd': 0x281ffabc96bf84c67ca60afa0e9138d9,
'egd': 0xfc3e3a602a80b0edea1896b2d6ea7d4e,
'fgd': 0xc7f176b2c03b7fb1d7eecc43c5cd25c4,
'ggd': 0x07d1cab97172b0ffe143c73d4381ddfd,
'hgd': 0xe57dc53abc14a7891c7a8d9f4703a3f4,
'igd': 0xee472a98470ea343d09937e4b0523e41,
'jgd': 0x7dc4f794b5ad3bdcaa0c011a7b2ad88c,
'kgd': 0xfbb67b6e69eaaad8f3e97cfafbb2ae77,
'lgd': 0xab32101ea2dca53aaa488f2a0dffb792,
'mgd': 0xeace95a6fcbc70f88e4e736275fefeaa,
'ngd': 0xd90cb96fb20b9f4f37fbef59dd9ceff6,
'ogd': 0x043f334c7f494be53a0fd5e6e0af9bca,
'pgd': 0x0a0fd72e02259ebd61995c19584a1826,
'qgd': 0x4fc484b9ef23f12598c3d08fa15b3b97,
'rgd': 0xa1853287db1b5745e319461a1b89f3ac,
'sgd': 0x0f7e401c396b92d3864b22a970fa322a,
'tgd': 0xa9941797c9f430b631aa4cf5dea929de,
'ugd': 0x4cc21d3198e8a6f9136eac1aa216cfb0,
'vgd': 0x8aa1e0d18ae087ed2beb8d801acbae70,
'wgd': 0x75a70039c80d259128070f404652751e,
'xgd': 0x2a0f0452e54ea8368e5b2c73bb209b08,
'ygd': 0xf4167fc6d5844ce2d7c2749f0dd1e524,
'zgd': 0x589d421ca9600f273c35a49db9416621,
'ahd': 0x405e90a8d04644b484f5735aa982799e,
'bhd': 0x5d24e09ece35587d950043c1311598e6,
'chd': 0xce15a41352845eca5da15d80b7c17f64,
'dhd': 0x7f48c8001d3a334157f917c5d2f1cc2c,
'ehd': 0x232c8cb3e2f49a53e817abb232f7340a,
'fhd': 0x215c5a2c32636de5d22c71573ea796b8,
'ghd': 0x573f0c85418608688c0b74f86a630572,
'hhd': 0xa842d30704f61b94c20e66ecc7531c35,
'ihd': 0x6f965d088690a7b8df406f46ea6d320b,
'jhd': 0x41156d2e3d9e1f23669344fd80ad883c,
'khd': 0x6d6e76fb6e165615640ec1e45ad16596,
'lhd': 0xb557ab0619a4c04b3613c63d20abface,
'mhd': 0xd578a4a844d415345f445c021e206325,
'nhd': 0x1b3c4d0c2c3b733970ad1c430ec3881c,
'ohd': 0x58c16a305dec6929e5b1fe5cb5430a8d,
'phd': 0x4295ed0c9cbd0dc7e7476c91e7be83c0,
'qhd': 0xa46dea1a656ed482bbcd480eb7a7fc5d,
'rhd': 0xe7d8abbab93fe3a1b5b83f4358f8055f,
'shd': 0xfca888fc8ae3cd7636925e7538ff91d6,
'thd': 0xd09d33471525bb6a72ddfd9faf3766f4,
'uhd': 0x9b3c495a19bb3fa6aec9c72892d52263,
'vhd': 0x1e0f26c64d8a5e729153e158e736cab6,
'whd': 0x4acf954119d5bf8c0ef5ce07f396defb,
'xhd': 0xc004fd354c9b54a03ff8ee3d2c95bfb9,
'yhd': 0x0915699367cdb1955441ff5aa2b7d0cc,
'zhd': 0xc19ebc9f460ff1bdcabf340d86909936,
'aid': 0xb99eb09924d437dbd445a146af8c210a,
'bid': 0x12879fe24168807c1ef38cd5e580ee3a,
'cid': 0x4b7cc5694dd3a265bac326eaba31266e,
'did': 0xee85b62281ba8c77e8a83721683b5bcc,
'eid': 0x09619678a1403be5dcab79c793f3fa0f,
'fid': 0x6f8605614dde007bcdef82d3cf4a7b8e,
'gid': 0x2d53a8fb7abf5be7f4a3cf4b565cc75c,
'hid': 0x85166c9881acdf2380c617fdff476a22,
'iid': 0xb5210062221c584573e8e554dfcfd026,
'jid': 0x3d4478eb8cae476e97eacd52aa1cca16,
'kid': 0x7de007e43f108e4b54b079f66e4285d8,
'lid': 0xac31868f5f3913b3cd34b2bd3f99fbac,
'mid': 0x22384709d743fe3c6fb0a4b35b2e10a6,
'nid': 0x654432d677a1f0046fd00246a1da4411,
'oid': 0x130f43112bb8a7a7790ebfc08ee9d6af,
'pid': 0x0db3209e1adc6d67be435a81baf9a66e,
'qid': 0xd9871522bb7b0be18c00194cbbbc2c5d,
'rid': 0xfc9004b26dd1e4c402b7872fd40876c8,
'sid': 0xb8c1a3069167247e3503f0daba6c5723,
'tid': 0x97beaa21d4819a1131833b897504ce31,
'uid': 0x9871d3a2c554b27151cacf1422eec048,
'vid': 0xb06d9954793b98cc08c5ed99d67b04a8,
'wid': 0xdb98b762ffd7dd3877eea94a2fc88ead,
'xid': 0x8a388bbbec3f4ba84ca33aac30be8894,
'yid': 0x9e355490ae25e9e3d21da9eaa2826228,
'zid': 0x642a09c4eb7f61896be610d4079f1c80,
'ajd': 0xa4d34be3b6d14ac7a6c8b19b88a65fef,
'bjd': 0x24dd59effe7807db13fe54bbd105bcd2,
'cjd': 0x9e357bc33cfecf281b3e4be4dae3870f,
'djd': 0xb6deb2644be78b53e21f7a4e0c1b3b84,
'ejd': 0x47f4128039408d6c5c0d0b6aa73e9fe2,
'fjd': 0xe30a8257ef313e3996831d16bbb336d6,
'gjd': 0xedf51bc2eca5ed9732417de7679b4144,
'hjd': 0xd928472364a98d5e1b13839145d3836b,
'ijd': 0x780bf0191a17d20d2e612a5aaf566993,
'jjd': 0x5ea6c04a771d7c661bf072ce7e0cce5e,
'kjd': 0xc8b4b490e7c90c01f4ab5b31535a9634,
'ljd': 0x95c1a35027d4f4e9b1c60d35536ccd74,
'mjd': 0x7f7685b39180278dd0fa69f523c7bd24,
'njd': 0x04a372269dd2d0f8f6ba3d2b529d92e9,
'ojd': 0x5c5fefa5d9cdd466efcfa1743bd70274,
'pjd': 0x66a21e4d04276a6d26155334bc71b6d3,
'qjd': 0x94a639556937533c0441ec49758cd45a,
'rjd': 0x6bbb20f71cb5cee8030d21938adafe91,
'sjd': 0xa13e6351a03177c955c281eeec6d3b50,
'tjd': 0x01801b6e76efc165e0a281dea36ef313,
'ujd': 0xf7ef6087b27d98e92f70f1066bf58324,
'vjd': 0xb4527b1b7e86a67190248c1609d37783,
'wjd': 0xa86ba64af6f26d3c5317ef14b7fe91a6,
'xjd': 0x481c5fc1f4390c999350647b22347b00,
'yjd': 0x79ed2f0d6ae72f273076b0da97ba6634,
'zjd': 0x7e57e35fa1507e5f3c0283daef30478f,
'akd': 0xea4c4f469fdaf9f21efef9eb63694cd6,
'bkd': 0x9102ea59edb21c56878f3afcab426fbe,
'ckd': 0xf3de48576c4f3fd4a284d1f8519d0483,
'dkd': 0xad5579c98ffb3fbe2516bba5b7883f56,
'ekd': 0xb1f9e9cce0c7f93e9b68d582ddf55417,
'fkd': 0x673814fb05b9316cce5ba468cea86baa,
'gkd': 0x6def2b2daede12e7f49e692fc87663fa,
'hkd': 0x0325fa41855e00dac2cf92f4b1e8b07a,
'ikd': 0x3414b54f165860eeee9c3c36dd18cfe7,
'jkd': 0x2725beed0d36eb9e33b663d9230f1854,
'kkd': 0x7aa4e2f9aa658e0522306abfe2975ea4,
'lkd': 0x145eea73e8820d7e6987bd750bfcdc7c,
'mkd': 0xe52b3baba6f8b8995e701b32473cb8de,
'nkd': 0xe8249b71c0f431f39cf4f7735c83e59e,
'okd': 0x43e27889d60cd973a3a5da0c342c813e,
'pkd': 0xab2de115318ae40bdd434e193a2f2e7f,
'qkd': 0xbc4d296119a66388f10812b797aefe07,
'rkd': 0x75695a59551968ad91bf6f7592d5c858,
'skd': 0x7f428ca48f27a206b7f0b5fda415dff1,
'tkd': 0x4515db84e56e5ca98928e8928f58a911,
'ukd': 0x4536fb5caff9d4d8a8761bba06874ba3,
'vkd': 0xc9fef3bb2152762e4b52af1070182d27,
'wkd': 0x38b28c5ad2374cf70ab0c6d036b8ceda,
'xkd': 0x167eac235fbd490487b505db79e350fd,
'ykd': 0xdecc1f4d746b186716320cbe59145137,
'zkd': 0x02926b8c2fe8e26a3bc6e810554a2120,
'ald': 0x776833c15e61c1feac12e570742b7258,
'bld': 0x3f641f36cdee11944705fad10214252e,
'cld': 0xc9fd9d8fc94e06f1eb082244e13df21a,
'dld': 0xaca00247070453c27e86f4b3afc8d57f,
'eld': 0xd6ab4b1a2e51c28cb32bfe8982d42259,
'fld': 0x39b7b22d803b1a0270c9c6c6f8a3b4cb,
'gld': 0xba1c00323b37672c66b50f4bf0c708b5,
'hld': 0xb029aa7cc0798e1fb33945e318657ac2,
'ild': 0xa9ed0643e74a7d386f8f465482ec0427,
'jld': 0xb27f9cf6b23d05df60ce6672402ba0fa,
'kld': 0x83b574af169f76df413c25801cf9e7d9,
'lld': 0x050be97050a41e1b5f83c19795b5e33d,
'mld': 0x0f870ace0a4b9665e30aafebc5bc149c,
'nld': 0xb6eb281e772f7b8fc9404fba1fbbb06a,
'old': 0x149603e6c03516362a8da23f624db945,
'pld': 0xb002e213135955ab46a789329edb3479,
'qld': 0x8b8c4500b0e7726af44254ee9f1c9a55,
'rld': 0xe90c8e1edb39b713d0675837a44d40d7,
'sld': 0xa1c5434a35b3c6da1b7a5f3cc41bfc95,
'tld': 0xa311df502ae78951ae4777a2fe90115d,
'uld': 0x1e873cdb905de5b173c0101b7592f396,
'vld': 0x07ae3d0ea0ac067b02ca1002e34f0a51,
'wld': 0x4751946702de608b6b3f2c3e0af29b09,
'xld': 0xec23c10d5e7627fd65185385c0b4d33f,
'yld': 0x930d2a655ef416b220c96edf2dee1086,
'zld': 0x7f42dd45a93fe484c31629590dcba4fc,
'amd': 0x5dc984e2aef527ea2daaeffe646a6a52,
'bmd': 0xd160df71b03287399ad6984a847a07cb,
'cmd': 0xdfff0a7fa1a55c8c1a4966c19f6da452,
'dmd': 0x31e37e94f9d840d2b86ce098172f8b94,
'emd': 0xd70072b5eeebcaa6c7085f94954150b1,
'fmd': 0x884f07a636ab15e780ded8fdd733d779,
'gmd': 0x9f828e54f25510c94b5bbcd38d453949,
'hmd': 0xd5d0809ccb269435e43fa001c0db759e,
'imd': 0x49acdce106ade4fe480ba3753b9bf756,
'jmd': 0x618839d87dcd089d1c1b80c634b953ca,
'kmd': 0x3314401782535bbfaded2826128ee985,
'lmd': 0xca91c1a656499c2ddbb3e602e7084854,
'mmd': 0x2bfd74adce8bb8d8c10364902a2ae19c,
'nmd': 0xa1683440c8981fc93f63eb32c5924085,
'omd': 0x376f24ffc54e13a968392aa9b836aae6,
'pmd': 0xc13b001e849f3cdb4197476d89c2b47f,
'qmd': 0x144da3ea4698e3f60dfbd8a70f91a949,
'rmd': 0x297091d8d3c3c11659798dc2df7c1f21,
'smd': 0x3a096b9fe19fedd4636f217ef0c6e33f,
'tmd': 0x945ad9b340899ec08a54ce62a73a047e,
'umd': 0x404eba79b8ddbe1fdbd432766e2996fe,
'vmd': 0x5f379f200147a2a9101c537edcf83675,
'wmd': 0x18e47f621cae9c76800b10c156cf224f,
'xmd': 0x739440c5d87b2b8095b909f9d2a1bbf9,
'ymd': 0xa88c734dcdda0a2f6f06483e9b96fbee,
'zmd': 0xc0720529eb0f7bd8a031be4cbc9e3b22,
'and': 0xbe5d5d37542d75f93a87094459f76678,
'bnd': 0xb8d375aff4439246bc04eedb9a0f6db9,
'cnd': 0x39865a37b4531b22624a7141bda9d80c,
'dnd': 0xa745f8d7bb5e7c5321dfffcbea1622a9,
'end': 0x7f021a1415b86f2d013b2618fb31ae53,
'fnd': 0xed3f2a92b3f31c5cecb99c9f9bbe2d5c,
'gnd': 0xad363e86b05904f172adb4e3326a0c2a,
'hnd': 0x94c6ee814eb92ad7c9f0270af3f7afcf,
'ind': 0xfcb6f3e6168e7f906b568d9627c1ba52,
'jnd': 0xf4ee6ff8f003166912aa6cb81db847d5,
'knd': 0x07cf9041846583ea0ae5231d5c919256,
'lnd': 0xf30e8ac185556480bef15690e0495daa,
'mnd': 0x470660cf66bf9fb2934065854597ef83,
'nnd': 0xe3df5aea6b2ef20ba65e35811c38a43b,
'ond': 0x69bad6ee370ccd4741dd4dd687e5e889,
'pnd': 0x9640029fe193691f61111f47c0677c80,
'qnd': 0x38ede75dc59eda98265b778a70f40b9d,
'rnd': 0x577c2406e417ed786986e6a6cfd55317,
'snd': 0x87cab54248fb9116e9a0944967396ec6,
'tnd': 0x1907a75c06c191c56d9f30d1aa788761,
'und': 0x5ff2363014e7ff18f687f29900146aab,
'vnd': 0x4a82e4b34623bda13383afd9fe67a980,
'wnd': 0x628a09231290c7cea936fcb0de3d4033,
'xnd': 0x9c73b0e56127b1d3d7bbcd9bfe9343cd,
'ynd': 0x314d01f7a2b40579552d700dbe825abc,
'znd': 0xb8c52321a5acd9d4dee48df191945ff8,
'aod': 0xc1102a1cfd60b3b38a7623b699f22d29,
'bod': 0xd7eb52fe98d0e619b748f5635b02f2ab,
'cod': 0x2d5278b057566a696ccff8d31ae5895b,
'dod': 0xeed346aede1c64193b74d7264a809c3e,
'eod': 0xbfd76452e4a736bb02838ebbcd0c0e51,
'fod': 0x4058af8939883f677515024b455e296d,
'god': 0xa4757d7419ff3b48e92e90596f0e7548,
'hod': 0x17d84f171d54c301fabae1391a125c4e,
'iod': 0x4791b962e9277f8f1305a4ab1c4afc3b,
'jod': 0xe29ed63f9027e188f724423cd630d5e5,
'kod': 0x7a9e2fba2f949c98c0dadbbad7ae09a1,
'lod': 0x4e034d79f6fd38d71ee4b49748485a3e,
'mod': 0xad148a3ca8bd0ef3b48c52454c493ec5,
'nod': 0x8b357529fdf2cb698a7a796696bf12fd,
'ood': 0xffc066720a2201ca45f46d7142fd76af,
'pod': 0xdcc0caa97588ee058c2fcd764e5f919b,
'qod': 0x6323588472670f4d780e67609a36c0b2,
'rod': 0x52c59993d8e149a1d70b65cb08abf692,
'sod': 0x2298b14500a941478efee7887ec2c23a,
'tod': 0xe7b3cdba86ef1a01b7720e21f6aaf6e8,
'uod': 0x169a221bc2a651916c5d981cbdae03ce,
'vod': 0x073a07a55a8ce47f8ed7af52491c732a,
'wod': 0x5b3d279639246b40f48095b5df4b652c,
'xod': 0x795286bc78c609176349dd9a1b7bef98,
'yod': 0x3c3e82866f7e3b4fde3660605f9a515e,
'zod': 0x75eb515de91948d35ddaded470518f9f,
'apd': 0x1e8ae175cb57c6fa526c88790dddec53,
'bpd': 0xcff87aab4d25a39dcd62c3b0e24521f0,
'cpd': 0x4ed3c4b22349dd5a28b271282bdc98f6,
'dpd': 0xabf938dd6f4a811880085030467ca144,
'epd': 0x8dd13709c5dc4da9ce3a0f23ea0efae9,
'fpd': 0xf66fdda11fe02a90de5ef6acb51bb078,
'gpd': 0xf96ce3f78a53ec079e86d45050796ceb,
'hpd': 0xbd3712a8f2b092947ab2b2c220a514ec,
'ipd': 0x513596f90aa9a1a882c45f6a3f2c3e55,
'jpd': 0xb7082308d0a7d54ad11aa9acaae8b7c3,
'kpd': 0x21c1fdc7c5540fe1c6e50a7e2e663242,
'lpd': 0x6d3cdcb17091b57c845310fedeb00a92,
'mpd': 0xc1442c2c6ec7407b0e3ebfc8006dc819,
'npd': 0xe7bb7aa4ffa0c3f89b80ac8d6f189888,
'opd': 0xb9498a1fc311c88af062701a837859a5,
'ppd': 0xa626781ab111dda14eea50343198a182,
'qpd': 0xecd6c377c9a020080a48f9184a0e0139,
'rpd': 0x0d3e549076668cbdc5691466d8540103,
'spd': 0x1e59132c5c434e25e01a39e0e1bbe9f3,
'tpd': 0x5c3536b78da4ec3ba7ee8999c5850b34,
'upd': 0x7da63681b0381c14c36529a45de6b579,
'vpd': 0x79776a695f8b010b59635f30b3937acb,
'wpd': 0xc3a712d1456fe01e4dbdb89a33efbe80,
'xpd': 0x5c91e414f7746515d7ba1df05497898b,
'ypd': 0x45342f17baa3cbbc877c6ce39a7eeeaa,
'zpd': 0x013644feac480de644efd9d6b08d2902,
'aqd': 0x0f254c823f000f1bfd0e3c71c0c7d2cc,
'bqd': 0xe2c2eda4f332810100a24bdbf9673a15,
'cqd': 0xcf4d3265d3d4e019e3ed1010958698d0,
'dqd': 0x989b43a957e69a818ad20d25b9f60e2e,
'eqd': 0x4b995da98761ceb6d78899e9483ad2cf,
'fqd': 0x061ddc4bff7eba948d47873bba678f3f,
'gqd': 0xb2bc3f489a51c6d68da197f77e6e2557,
'hqd': 0x51cd332ace5bce3a4be658028a121ca7,
'iqd': 0x9dab257fe80499f769b05005a3dce959,
'jqd': 0xfc1f88d5a1366522326fbe9e2f329940,
'kqd': 0xa5d444b8e7cf87cd88037a64599ab075,
'lqd': 0x42dc58e9d290c2fbba70fa7e86a2d8f4,
'mqd': 0x668eeaf55af17c01440f12db1277f1b0,
'nqd': 0xf4a73d4824dac309c06d0f5c73e8b3ee,
'oqd': 0x65709d09b211eb5a31109d62fe33c486,
'pqd': 0x37e06e6438f554141b2fb7bb9ba72926,
'qqd': 0x2bbdd6e18903f3405cde0e2318310e6a,
'rqd': 0x7340288f9a61c0c87879ede0d4344a06,
'sqd': 0x43d2018567e1519ca7f459266ad33cfa,
'tqd': 0xc960faa966b4176deb0b445168569b9e,
'uqd': 0xbe3546d6e4c9290770a801796fda7fdd,
'vqd': 0x93f3355c2846f587882eee4e5bea9719,
'wqd': 0xb7e83bbee298f2cc1f7a97d340cf17ff,
'xqd': 0xadc936b0e63cf06c34f1b92cf8aca50b,
'yqd': 0xdffc119b25b43d42a796e03358ead78b,
'zqd': 0x276b7ecf30da85a9220e313a756d4388,
'ard': 0x4ce0bec67fe735f4997426101dd5292b,
'brd': 0xb213e73e577729cd2a09f49ac5e04b29,
'crd': 0xe894240e5f24dea553bbcb0df950021a,
'drd': 0x47b6e15a5eff1cdbfe9e998839779944,
'erd': 0x1c18b56aef5d89ed04adae9ea110e41d,
'frd': 0x2cd6c10d55c39a6f6c3e8ce73545906f,
'grd': 0xc11239dbd8ba7fc29d29523001ac8889,
'hrd': 0x4bf31e6f4b818056eaacb83dff01c9b8,
'ird': 0xc3353de622f2ff8cc0914db57ecee41d,
'jrd': 0xe87269d03a45cb2e8b6f5758cb4226c6,
'krd': 0x7fa0dca5c389ab87052784b4d8a18b83,
'lrd': 0xd3e54172e705d5d39cf9298882c3cdc6,
'mrd': 0xed1fbbef5bfb288aa10218943f58e678,
'nrd': 0x3cb1771de9720115995319127535f29d,
'ord': 0x8bef1cc20ada3bef55fdf132cb2a1cb9,
'prd': 0x23e1691cb0a5e42bd8236b4ea794bf0c,
'qrd': 0xd611e4f98d40c2906d8d6af68e611c40,
'rrd': 0xbd0f17042ff2f6733b4ebb30dfa68f5a,
'srd': 0x7e90f2878fd9ba40debf0a452e95206b,
'trd': 0x63f37e4d9afe47d95d02c7a305631423,
'urd': 0xe63351a13e6564178e4654f96c4b45ed,
'vrd': 0x82613bacaab14cc8fe615b5fdb6fd05c,
'wrd': 0x4943a3960cd0ca75bd24478319729e9e,
'xrd': 0xe3beaa92784c91490a52be488d26b9bd,
'yrd': 0x0a5c99148cd27b14948ce3998991dfae,
'zrd': 0x5e1ec4847dc9f5487f992c945140942a,
'asd': 0x7815696ecbf1c96e6894b779456d330e,
'bsd': 0x759b51eddb89a13c19b41cae5c565648,
'csd': 0xf014b94c35268c600ab22ef3e885b54f,
'dsd': 0x5c7d0c90cf9e0ce560956179e8e82e7d,
'esd': 0x73307549f18fbf8f2b7ab19c0d166609,
'fsd': 0x08c6a51dde006e64aed953b94fd68f0c,
'gsd': 0xaab185a0b33d014157e1519445587d1f,
'hsd': 0xe58d7791d228b7320d603a6ce7a07221,
'isd': 0xfafd23536b04f30eefd0fc45628ed029,
'jsd': 0x0a488f17216d2141214bfcc8e12c2c8a,
'ksd': 0xc6c714c36c19f7a9cbd319ec0f0f4cc8,
'lsd': 0x107569e23396d72fa107d1250903a18a,
'msd': 0xb0f2169aa609c42c1bc96d4aa5da3aea,
'nsd': 0x09daf55148da4f6052c56bea07380109,
'osd': 0xde7a4c26183669164839b27ff8cc6e57,
'psd': 0xf6d7022d02ebecf3d3b12aacad4ef7a3,
'qsd': 0x511e33b4b0fe4bf75aa3bbac63311e5a,
'rsd': 0x0db0f93c6209c605bd74ca612c00ab93,
'ssd': 0xd4576b3b305e1df6f8ef4517ec2f9615,
'tsd': 0x7c59373bfdb38201b9215ff86f0ce6af,
'usd': 0x0cdb5b8ad56b098f43e37b86ce506ea6,
'vsd': 0xc8cfb7e972533537a9a3abd8c387027b,
'wsd': 0xa02065951cc9bf77a167b500bbebb6aa,
'xsd': 0x24788d7b62b899d08b0253802b821938,
'ysd': 0xce9cf8bb4fef8f8a848e884a7734b073,
'zsd': 0x66ac06bd3199070b765c3045d9a0d39d,
'atd': 0x54eb94083f8d672757f663a6985058d6,
'btd': 0xddf13ea22fbbb1ceb4422c7c92202333,
'ctd': 0x981a7673edcc40225ddfc7bfb63097a1,
'dtd': 0x6a87284914054e1ba5d1d288c1b09f43,
'etd': 0x566ee397b0189fd8dda89ef0bfe1e7ce,
'ftd': 0xb06e48a472d47c8068204a8a2a356ff5,
'gtd': 0x0e7870c8deb4d67e5637d2ff28cae780,
'htd': 0x990cf6c570d907177db15fd656c64a13,
'itd': 0xf875a5bfaeb31e0aafdfdb772696a04f,
'jtd': 0x8346d3b87af8c0a9ab16d5d319220b03,
'ktd': 0x008acc124c899612d8c011c830eb335e,
'ltd': 0x5f7da0d5063c15ced5bf76fb97784e1f,
'mtd': 0x3e9e3fafa90f453c8519afb663c6711f,
'ntd': 0x1658f23b58329d8356a33f6ecdff0d0c,
'otd': 0x91e8d45445489154f9a349b91779e701,
'ptd': 0xce6d9e1dc29e7363f338ca0de2b1d75a,
'qtd': 0xee465b5d73e9d4e475e0390a5ed54035,
'rtd': 0x33dca5e853babefba89d1b488e303c49,
'std': 0xd2229cc70e64ae7c07361778573c4e0c,
'ttd': 0x5d076e5c3d34cb8bb08e54a4bb7e223e,
'utd': 0xfa3aa8e57bddca1fe4f6d7ccd8798907,
'vtd': 0x087da57c065a96473b78e507b7e8df40,
'wtd': 0x9162eadbb2d8ad99ae99da665742dea6,
'xtd': 0xb0e8c079c1458dfb93df599b2904c4fd,
'ytd': 0x5042c9100afa8b67ff1e4078556704d5,
'ztd': 0xaab47d9d5cfff03f1015f7277f8d1ebe,
'aud': 0xa1213419a0c503fc2767891f21463751,
'bud': 0x48114f8d489969362afea5a91603fee8,
'cud': 0xba0a0d5dd22b5f55ae830b9e2de0a10a,
'dud': 0x807dfcc396f827846e9631b735c7e808,
'eud': 0x00b6d81808ed39b20afec968da7eb839,
'fud': 0xbeb3a35c125d5367fae987ba11f288a5,
'gud': 0x91e49146121c992aab11a19c77e26cf0,
'hud': 0x8eaab8f57cf980e83393fe2b03efe0c2,
'iud': 0xd49375a738e4b15817277f8ba81f4e71,
'jud': 0xb64ad1bf9f99b49bed77bfbe523109a7,
'kud': 0xbced5064546fec44c870068b705deea7,
'lud': 0xb26989cc34d9a0e3ae33da3263f9cdc2,
'mud': 0xc95e3dd9ec9230450a558cb17be2106d,
'nud': 0xb5d18c548f62b474e3a0cd5a225e9d48,
'oud': 0x4473a4e62e9ded5dfa7044e2c8a6c162,
'pud': 0x8385e6e60a22e18cd347a1f6e4685fb9,
'qud': 0x91db6a8c341e0029a1b55499b78b4a61,
'rud': 0x6a45059d8546feb3343506218bb98c4b,
'sud': 0x57f6fd9c0e6da61c1f802233d83277fc,
'tud': 0xcdc451208246f93fc2d3d19352ef3a61,
'uud': 0xd7598c86bf53b05e71e2af0f3722fc34,
'vud': 0x0e87e020d470f357cff409be11ce05b0,
'wud': 0xc415ca73178cf393317c892ef1f5a5e9,
'xud': 0xc5f01429cac80b7f5a16c7d6b3810bb9,
'yud': 0x080fb9f743333c31bfc1d4b59903f7ea,
'zud': 0x1400bf2efa0aa62c809b6b7534388b3b,
'avd': 0x051b3fc9c5aa2303f1040c53cb8473cc,
'bvd': 0x5aa5aeffa5795ef78735f5a1c9f9d323,
'cvd': 0xa8f02963257448e00262be35c1eb2470,
'dvd': 0x5970bd1634756232824f68fe3b6bb725,
'evd': 0x9ff7172192b7f3dae53f414c0206714e,
'fvd': 0xa1cbe5a370fb4023f70eca41bf81f267,
'gvd': 0x983a81f81e86302ea08675c9a4249fd4,
'hvd': 0x9d961d89b633da3dba6edf48425323eb,
'ivd': 0x0e324e1f14a7c887d9ec0541694a3eb0,
'jvd': 0xfb15ff6297530fd450761ecd1f3f5097,
'kvd': 0xfaadb4f6be22ac3ac4e90ac6ac27bfaa,
'lvd': 0xad88b2dc4ba1e0a3e6aa1260e6ad7bb7,
'mvd': 0x68c307ba22da264268f4a0aee10714f5,
'nvd': 0xcbe8ef9a665c2bccab3991ca0b8ea53c,
'ovd': 0x493be86096f8b3fbfcd06f45a05f03c9,
'pvd': 0x78a84f93d185dcf4c59771263b3f1af3,
'qvd': 0x937726f7b1ca96b47a52f0c43a814fd1,
'rvd': 0x56a0d9da2981ecc1e3397cad699b6013,
'svd': 0x30a81b0abbd4327c72093346cc1bad3a,
'tvd': 0xc29f24f78d5b2c808238005044d35861,
'uvd': 0x10fe8610a3a0e78f92ce8f138c5d6264,
'vvd': 0xcc300ae527ba6151b132a85ca090c779,
'wvd': 0xd0ee2b3836d2e138ed2ce11578aafb96,
'xvd': 0x042849fbddbe48bffc0184089c1a5023,
'yvd': 0x274b695c1909f7acb1af0c3393e1e613,
'zvd': 0x71f944285d848caf7ec13f88b8a2c141,
'awd': 0x1f73402c644002a7ea3c9532e8ba4139,
'bwd': 0xebe43f906e456d36fb9eb4cc25bc30a2,
'cwd': 0x109633366fd0d46d371ede589998abaa,
'dwd': 0x19af0630fd5b74a3f63a2ac9769b613d,
'ewd': 0x4ed15d370ca1ea7836115d87965d22c8,
'fwd': 0x3bedd8336ef442332128e13c1f28bfc4,
'gwd': 0x98345f02e874962aee786280e3857d1b,
'hwd': 0x0a4a455b824b8d9a42059bcc6cfc9590,
'iwd': 0xd8f30279d6a581445a6c0559b80f1846,
'jwd': 0x68325a70465a7e63b18ba1c7895434d6,
'kwd': 0xc9038c2a29cd5383464cdb8930222831,
'lwd': 0xabbbb0bd110d118f77905263a293dfee,
'mwd': 0xf196b9fbda9609f04af04810d67c763d,
'nwd': 0x6075d3d730b8c01ccd9651dfe1b572ce,
'owd': 0xadc861ce4ff3575c509543b1b314cdb4,
'pwd': 0x9003d1df22eb4d3820015070385194c8,
'qwd': 0x02fcdc687ea469de024bc922f68926ef,
'rwd': 0x72f3c338247ea45dc0dc138023ac5edd,
'swd': 0x7287274bc93be739f87c8f8668aa3824,
'twd': 0x7ca71535907a2c199316eb0ea5032d63,
'uwd': 0x71908f89a30f76b5dbbf2ceb1bf59392,
'vwd': 0xadbba6cf8e501054cf753b57dc0d8ffd,
'wwd': 0x02f36950c7dc96375a19462d425c35b9,
'xwd': 0x7b3f08ae05a313f594da3c478184359e,
'ywd': 0x1747959d56e9aee1d81ae31ba3c92d18,
'zwd': 0xd7245c990e20c489fa13832e3ed8066a,
'axd': 0x25d410bfb922a687018c0ed28eb1746b,
'bxd': 0x640f8edd31074956dae7f9550c054c6c,
'cxd': 0xd5bb44dd977b1ebb6ebd2ca3aa6dde5f,
'dxd': 0x279a02b4cea61841880cd4ccb417eac1,
'exd': 0x77ed1ec902536394a9e5a64113a8f957,
'fxd': 0x79715b4b3d995d350689194113978c7b,
'gxd': 0x9cdb200f0a6d8f454c6b4182e338d49a,
'hxd': 0xdf084d2b5bb2e07e3f7e3f4a5d996582,
'ixd': 0xb84690cc79cef6560a72230001d5d7d5,
'jxd': 0xa1e2a0c56ccca12915dfdcd73720b583,
'kxd': 0x4bf6f557bc4b92a02207d3d4752f0fa5,
'lxd': 0x13c784df7899fb6b24e1eb23e96457d1,
'mxd': 0xa91e4192150d1db6f229ae27f99952da,
'nxd': 0x80171f67014b972dc6e344facc7bbcca,
'oxd': 0xf4eabb9add4eb510f7be6ff1e3caba61,
'pxd': 0xa424de99f0d51bb1f9b017ef775a365f,
'qxd': 0xe4d57001da0a93b08c80e928a0cb3e38,
'rxd': 0x38821a619803aed779863ea813e688dc,
'sxd': 0x5de1c09d286475ad7aeca8741ee3d951,
'txd': 0xb3363f2a99bf4231b91d858739d1cebc,
'uxd': 0x38bdc3f9f552de0ad6f61d35068b4a0b,
'vxd': 0x28f3e7dc33b4d97323e672fc94dddca4,
'wxd': 0x2547e73398d848d05fb0022293a3a351,
'xxd': 0x25c04b9b782789c092a38c06cc87632a,
'yxd': 0xfd4df669337625088baa7cac87a7451d,
'zxd': 0x3a126afcf65db8c050ee27e40fffc1a6,
'ayd': 0x8ddf2f18ba8458df7b133dd79d850aaa,
'byd': 0x8bbb60668c2878698ec50a7f4b1d305f,
'cyd': 0xf8830330f3b627ee708e7822a7a5a98d,
'dyd': 0xa67f2ecb44f88a94fe735d3941e83371,
'eyd': 0x07a8a50cb8086e083ad801067c597e58,
'fyd': 0x375bd5ff856cfacadc8a06ce49a67d72,
'gyd': 0x48bc17ee667148a9c5328e609677f9c4,
'hyd': 0xfc46de7cc0e40c908d691e53033c5ea5,
'iyd': 0xbde990571043b373a18fbfd8a723642f,
'jyd': 0x1615177b2e4e7d4d54f7e5a207561d44,
'kyd': 0x1f0f6255434af32b8dd74fb1996123fe,
'lyd': 0xc47c4ea0705aa1d9fa168729565cb301,
'myd': 0x634a3583084e873ccf31d58622707219,
'nyd': 0x3bda85abc4abd8a83a06adccc8365cf1,
'oyd': 0x29722e4fa0805c07f0871d3c72e8cd7d,
'pyd': 0xb33b98e4927e314775a851f38a704900,
'qyd': 0xefc731ab631566150a10b907624ee894,
'ryd': 0xe6a1a875f46a73a023b2605f093fc50e,
'syd': 0x6c85386d229d811772d558365332292a,
'tyd': 0xd883b831d0ea2a3203f7516090e4f7f9,
'uyd': 0x03d4867b477c2cf97f340ea7e19cef0e,
'vyd': 0x6f3de15d0963ffc1330eeb19f159a1bb,
'wyd': 0xe05bf3b6366b75da861070695b512ede,
'xyd': 0x1d6f7ce922ae65bbe01a4130f5b60335,
'yyd': 0xd07e946b0d1d36666f68623a38fd26a7,
'zyd': 0xba157d2ecdcaeac516b27cf02bf45e59,
'azd': 0x75a0360b639e9406d03d17b8e043a206,
'bzd': 0x5942f043903ce41d4e87a4efe6884eea,
'czd': 0x4dd797f6c69c0b9012854d7b08fec48a,
'dzd': 0x0a722e43bd6686d218961493ea962ef7,
'ezd': 0x95e1468ad78c44ed2d844baf5dc34dc2,
'fzd': 0xce6dc0424ad46f69d3916774df31c056,
'gzd': 0xc30be9649728bae6a96eb5d4e9dc32af,
'hzd': 0xd14622d564e2311377d9e4d2d8990ba1,
'izd': 0xc4e9b305c45b41b7679fe17142237cfc,
'jzd': 0x6696616b3710acbfb43b2d70f868633b,
'kzd': 0x09f7ad19ef1c6331e1ce3a4de8ca659d,
'lzd': 0x53a1f8076893b4b9fc2c4293558db5aa,
'mzd': 0x0ea34c791fa9a4c5dd02afff932ea003,
'nzd': 0xc2c991ec115313d968b9bf017f240732,
'ozd': 0x1de6a96b12305c819c358b26de26bb63,
'pzd': 0x6b8741cfb45f8b56a92b6fe242ac440f,
'qzd': 0x7658d426babd41d3295677c901d0ae7f,
'rzd': 0xbde0bd16b786821b0ae6b0fb0b55e6ef,
'szd': 0x4a320bf2b835545481fecf43997d3de6,
'tzd': 0x2eca92d6d2dc53b67edda68fa2ad67c6,
'uzd': 0xfb46641519155779df1d59c456c27484,
'vzd': 0x0d77a3b3d8a49e1c0ab2d32ed36807fe,
'wzd': 0xc018dea23571a1fb6cd9572d53ab1d62,
'xzd': 0x557d028a4bc9be1d5087c7f921f14ba7,
'yzd': 0x5716c6538738743c6f3d76f4f4b63a5b,
'zzd': 0x9518b0e38e521f9f06830311915353b9,
'aae': 0xcf34362ab126ce8338d8991cc1404980,
'bae': 0x8a4fe2eac821cc07db049f1279357195,
'cae': 0x43ef4393816412456a776afb5477cc24,
'dae': 0x39c0b36f38aed3bd87307bb554c74d74,
'eae': 0x5aac058fb4e708d19a77780ed6bd50b1,
'fae': 0x55f8918f76e6173ffa5f2e4c5c87b858,
'gae': 0x42efab72ae050ac8e22ac0ee8508cb9e,
'hae': 0xeef5a1220959b1550c42fe314ad7d5a8,
'iae': 0xe061a0737120a4a29144ecb31694c3da,
'jae': 0xa5759ca3e37c6e6630df12034e06cf05,
'kae': 0xfb6a2c86e4d2d502038589e50541e337,
'lae': 0xb9d7255d6503d87ceebbf475d4cb44de,
'mae': 0xeb4a4a36e4d53916f9979759c3d3b822,
'nae': 0x9b6f9d8259cae55333152c5b186e9e5a,
'oae': 0x655d98d5b0d2d8e8c8a58238e65dc6a2,
'pae': 0x6d2d25cac6ce5b576c4509e535e4d3d4,
'qae': 0xdcd403d8396e822fd6de064b0f79a0ea,
'rae': 0x09764440f6c418cd6421d1cf7d8105dc,
'sae': 0xdabfae3e14243f88c733376f4e6c1a37,
'tae': 0x4752d51bd71f704beec34b798c76ca9e,
'uae': 0x6befa38a9c2d2b9e1889a03cca7ac836,
'vae': 0x35c32b31d2de75cc31a064f0aa1e7faf,
'wae': 0x2b8fccc89c18aff7a1b0179c5833da6f,
'xae': 0xc4ea88100ba6873c2f636b2edad98308,
'yae': 0x03ad61c7168656ce2305e46d9b449ec4,
'zae': 0x3e715d6870661a4fe33a3b1f11965995,
'abe': 0x7888d65a43501d992cc38638b59964d6,
'bbe': 0x33a190996c7d195c4f7726293cbb44b0,
'cbe': 0xff42374122f85b5ecf60c1ad31c10df2,
'dbe': 0xaf127a0b31ade0e5dbd4c8cb4c3094b8,
'ebe': 0x4e6a3bc831604faec0c555c136720b22,
'fbe': 0x3916b3b51b8b4a0a97f12aa77ff25d89,
'gbe': 0x4ebf41c5d40b46af6a1033f0927288da,
'hbe': 0xbbd3ecfb866188ea78988d94bf9809c1,
'ibe': 0x63dd0990d1c2c4693d6d39d6950db134,
'jbe': 0xf4fd335540d202193af240c07ffa29bc,
'kbe': 0x54db205198b7a372f9118b2a67b89702,
'lbe': 0xc4ad93500235bb30db8bfc7d21cb80e9,
'mbe': 0xae88e116cc5eb3d0adc89eaf5039c98c,
'nbe': 0x158aaa7d07e13a609c259e6af760f694,
'obe': 0x59c6f06e471fe1cfaf62afc573fa0bdc,
'pbe': 0x015704ef80eacdde3751702f30f4d980,
'qbe': 0xc2cc1f036de197a49a4841c9d5a5779b,
'rbe': 0x82f87d17d74cf23d29fc49a741e7a935,
'sbe': 0x4c5883452a91db239a3c8c2be4a3bd3a,
'tbe': 0xebf1bd0254e733981928851df08fca08,
'ube': 0xae8e7b1ef9bf9fbd07770b1d60e62d27,
'vbe': 0x63c719c728a65dde8211655b506a2a44,
'wbe': 0x51cc4db1f835d89b97ec354c854f436d,
'xbe': 0x013fa2c3b45c50dec78c716b28730b78,
'ybe': 0x32a18221fd9d74adb58227276cbb1150,
'zbe': 0xb4f580849e8138da04dad7bf6d657cb3,
'ace': 0x360e2ece07507675dced80ba867d6dcd,
'bce': 0x8460edce9cfd317d188e4094a829d268,
'cce': 0x505fb3245746986ec5c2b92d05a3a9f0,
'dce': 0x3a5aed6b06fcfed497ba6585ae456878,
'ece': 0x6f8a28be5f158752eba976d9a69f6abb,
'fce': 0x47229cf2c5684aeba58ce2c461fd6fb2,
'gce': 0x3d8be50d83e259a60aa25d9868dad536,
'hce': 0xc315c38e295e8d86943867b1edddf691,
'ice': 0x7bdff76536f12a7c5ffde207e72cfe3a,
'jce': 0x3d5d08c7143ff3d659b1d290381d9ef3,
'kce': 0x48b7c3cd55afac957c4316e5dade9535,
'lce': 0x69033aa4bb3289e8b378bf8649e9ddef,
'mce': 0xc5f6e3479d45dbb807d46852a6a3b077,
'nce': 0x89a3890134b8eac8fd71e4b1ba7fa890,
'oce': 0x6aa2b79b1fc3984c31af565b51d5e4ad,
'pce': 0xfe4d328e9d1ce517737085f109c54685,
'qce': 0x5a5417aec8549e70390f81ae3c36eec2,
'rce': 0x198717576b4bc32b47474c583ddc712a,
'sce': 0xd97cd982ae7fcefd0e8ba32f2c95ab6f,
'tce': 0x4f13a6287d3e01e333810d9f20f25649,
'uce': 0x006541c356d510a28cb90ebde5d26b24,
'vce': 0x71328fd796c699976be2a1ce429b8b44,
'wce': 0xa9eed887066242deb0759cfba0939c9a,
'xce': 0xa0a535ef35b80a8b52067dbf681994ed,
'yce': 0xc1efdea3f447569cbc3376da0bbb5e66,
'zce': 0xf1963aa09931b5dade50485239cc40bc,
'ade': 0xa562cfa07c2b1213b3a5c99b756fc206,
'bde': 0xbb5be6a04a262551aa6e440d35c70086,
'cde': 0xa256e6b336afdc38c564789c399b516c,
'dde': 0xba00ecaaf5eb69e744692e9f0fded636,
'ede': 0x575350f3778d69173cfd6d265b7844bf,
'fde': 0xb950034705b54888b189ef2a35b5d3b5,
'gde': 0xb76dd29d5f8501a9219a4a122d667b7a,
'hde': 0x28d116b217702a0b367c5795a59068e5,
'ide': 0x1b8bbe06f76b270d848bda6198497dfe,
'jde': 0x1a48c690f490b65020f61e1f9dab06fd,
'kde': 0x186cf28b76f2264e9fea8fcf91cb4f5d,
'lde': 0x20cbcc2cc2344aec3ac82c9fa36d86dc,
'mde': 0x7d166b9ea014098fc61d35cd52efdc06,
'nde': 0xa422413d9ca1bcff6c1b5ba7074d9be3,
'ode': 0x9fa32fa61a3811919b6b7568da03fc1b,
'pde': 0x0107d9692534f70a4911edbcf8c6136b,
'qde': 0xce03bf2b94f67de7ce15db3b21f59a8d,
'rde': 0x81f89484f8cb3ab84d2d843a31fae062,
'sde': 0xb19114175dddde482a8a8064a4e59d0e,
'tde': 0x98e32d5d89405ae7d95fe2622a9307dc,
'ude': 0x6dbd8f08764db032171a6217725b58a5,
'vde': 0x929b00559675fbcd5d16abe66117e0d7,
'wde': 0x4ed3239785e386c6206d62d17e10d653,
'xde': 0x8434974cc6a3719fb3e909f24e71ba4f,
'yde': 0x65d376a6cbcc2399619924496205763b,
'zde': 0x5dc0ecddf56797486f564f62568a3b32,
'aee': 0x9b0a5fa32a0adc5f4f86a750a1c72e98,
'bee': 0x9dfd70fdf15a3cb1ea00d7799ac6651b,
'cee': 0x30f78cd500afd51e75d8351e4418ed9a,
'dee': 0xf31f2f4e88b1f4c29a4542671b247f9b,
'eee': 0xd2f2297d6e829cd3493aa7de4416a18f,
'fee': 0xd4319fefc66c701f24c875afda6360d6,
'gee': 0x47de9de97f04843d5dad246beb6f8a83,
'hee': 0xa6dcd6ccc8a3ca07da9f995919831631,
'iee': 0x5cc3fc04b07599ebe9acc06ead0c7667,
'jee': 0x3591daf03f80ee638643d8e173087e83,
'kee': 0xdb53556dc7a82a91a177ae3effe12015,
'lee': 0xb0f8b49f22c718e9924f5b1165111a67,
'mee': 0x0745dc7435366c036e0b60723f7fa442,
'nee': 0xa011a78a0c8d9e4f0038a5032d7668ab,
'oee': 0xb34397403759ce124742ac194ac5ca28,
'pee': 0x7b5f3da4bc95956f8a7f8d6abf38afb6,
'qee': 0x6c2a9a7f2487dc1a77f8793f6b9b6538,
'ree': 0x04aa15dec4b94f1fe7bd3e275a9f1de3,
'see': 0x1e8e42b87a65326b98ced7d3af717a72,
'tee': 0xa04ce4f25ad79ff8ba880390edfb1ab4,
'uee': 0x6f677b7cfbfe83f9a9a282734ed34459,
'vee': 0x9bf9e7052992467f671d923e9444624e,
'wee': 0xd5a5b2edb04966f0b8c29faf4f92a082,
'xee': 0x8741c00a538a7b89eabfc81917b98f1a,
'yee': 0x5de7bb3c232741f461f3ccd13c1ba7a0,
'zee': 0x7b9fccca863e8aee43f1e83f05caa840,
'afe': 0x9972fa89a49bd697185da4788172a1a8,
'bfe': 0x8b95858ec38e3f105457f69fdca2eeaf,
'cfe': 0x111ca5df4a68b9f6931727a3ece0dd01,
'dfe': 0x1126bfbd706f9d266b5ea43033f0dce7,
'efe': 0x5ebf8364d17c8df7e4afd586c24f84a0,
'ffe': 0x7bae4b5ba8bfe53a6478e5a4e8e47b31,
'gfe': 0xb0ca10e1120a0109457a62c6a8304059,
'hfe': 0x94d6469671c2af9795db950cfc20e045,
'ife': 0xab89100f7d1f3cf35455e92704bd8416,
'jfe': 0x56773cc8a480c30f162314e8ad39ac71,
'kfe': 0x7b60a26163c71bae8df6d2743f183451,
'lfe': 0xc2ce4fe80e2598c76706864b30bf041f,
'mfe': 0xd156066efe58d34bf6cc398fbb16fdb5,
'nfe': 0x59758bf1bb5e156c6de7de802f3d92aa,
'ofe': 0x9f7bba8ad558ee57217dd8ecf3ae08b9,
'pfe': 0xc5a918826e709e31ac93e1ab99bc9558,
'qfe': 0x910119970263cc74ddf898852d84bf65,
'rfe': 0x85ab00d5a9eef4423252c2b9393bf635,
'sfe': 0xc25ba9f965f27c9a65ee263ed61a9fa6,
'tfe': 0xfbdb5b9cead6b2630c230a622049eaae,
'ufe': 0xf827baf1c20a776983fec9fff8e84c33,
'vfe': 0x548420ec89bde162fb845b31ad7949df,
'wfe': 0xb979a5ef0c1d83f4cfdbe673b86784a4,
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'cre': 0xcaf98268abd13bb8ed384da0313e2dd6,
'dre': 0x0183459a6cb7a31c13f0f1f52ec011d2,
'ere': 0x2bbf803161deb1186defbefb8b4b0903,
'fre': 0x114c1a13ef24e600434a683b9ee9f7f1,
'gre': 0x124c54355f396f0d1b0f653d105340b3,
'hre': 0x9f56a3366094da9772401b9d5612b6e7,
'ire': 0xda3c4ddd569f0853e8e84ca1845e1277,
'jre': 0x2562560f8ce0d1e9b326af39c5b2ca52,
'kre': 0x7506ae33a44816121deca4f7c77c28e6,
'lre': 0x1fa86486ae1d712ef46116858fb930c7,
'mre': 0x632c407f955841f59c0d9716e48ac153,
'nre': 0x9f9da5a7fbffa8287debc5457ccd04cc,
'ore': 0xbe98d2fda00d8768f28b0d464bf8aacd,
'pre': 0x6bf9e70a1f928aba143ef1eebe2720b5,
'qre': 0xb6633d4ee732fe9272a3b767fd5323f1,
'rre': 0x4c449a2bdbc0f879109fe23d1afe11ff,
'sre': 0xb665f2b4ec4803aac65a110a3c57efdc,
'tre': 0x7e764aa6b7529530855f0373606d1886,
'ure': 0x5665d460068887ced6ab04e98aa68063,
'vre': 0xc810d7a0ff78a3c9cee8a615924d08ff,
'wre': 0x80743387e7cd5fb5cc71693b16859e80,
'xre': 0xb2e95fe812f31a21e9eb3a4c9c05c89d,
'yre': 0xa9b7967c23c916189a80dcbacee1ec6b,
'zre': 0x8743fad32b7c2cdd972d949909c773f4,
'ase': 0x8ea3b58eb88f49009e0ebab340d5ba1b,
'bse': 0xb6262d4c716eb973166f7e0d0f86a49c,
'cse': 0x271226cb355bdda491d38bfaf40f675d,
'dse': 0x9c182f9d7860ac7fea5b8fa068f91781,
'ese': 0xe00760db8ed95a90efbbdefa0d167e6a,
'fse': 0x95b5f346d5feef26f7fa4eb17356bb78,
'gse': 0x65bdf1517741ab2f4aef28dfc644d4a8,
'hse': 0xff85fdbd9ba2a43896908930c9048fd5,
'ise': 0x4d643b1bd384922ca968749b93b81db5,
'jse': 0x7e7a5e6225f10f9772b3adff5d27bbcd,
'kse': 0x4b8b79f529f7808a4149e6874c19ce32,
'lse': 0xbb82c12cf764a34a904d96a54ddb9941,
'mse': 0x7f04af006bdeba02616023b6e6c68409,
'nse': 0xd4167c555f400bd43c13835fa08e625b,
'ose': 0x333482b724e4a621465ccc9a939da8dc,
'pse': 0x30ea0a768cc9d95255e241efe585e23a,
'qse': 0xe53c6cc5476befef2f00492a53c0807e,
'rse': 0x8a8429234a5dd01bae9123dd3b2ed0f4,
'sse': 0x64192ca465194480a4621d6905dac5b7,
'tse': 0xbd5a2cb40637623177295aed22db25f9,
'use': 0x5ef76d30bf9232902687324b5bfa0bd2,
'vse': 0x8919568358eaee534648395ab9252980,
'wse': 0xe62a1593df47cd0aefef375643c8d369,
'xse': 0x4c725550fde88e85f2bf4a1e32cc9eec,
'yse': 0xb1ba8f311bfb366b43b95cd1ab98aee0,
'zse': 0xcebd1594c13833728a763bd9da18896e,
'ate': 0x1f0cec14e2c5effcbff50f2feb9495f6,
'bte': 0xfc44fd77a5506a5ad8fbd213bcdfd8c0,
'cte': 0xa619929c1b4ecde777557dc9df8bac30,
'dte': 0x6aa40dfefee41e3ac563444719011f79,
'ete': 0xd52389d3280207c6fa06c9ee6bd5d1c1,
'fte': 0xec7316ae6a0c3af3f8f34f7edf120651,
'gte': 0xb37b2584364bc47a5fcadf2da504e0d3,
'hte': 0xb1ad785736cde0d3a1128f6ad42e1640,
'ite': 0x69922873cb0cd47a84ef3e70b21eaf06,
'jte': 0x4a432488ec5c0fe0348b36efc16d04d4,
'kte': 0x0b1e68265a5406fcc178de022c3f812d,
'lte': 0x099fc18a9d7ef617eeb705cdf7310b40,
'mte': 0xe739b76725f6cda839653676a1118d2c,
'nte': 0x0708f0ba839c2be70fd0a39d8bb6fb03,
'ote': 0xff5d40a52ec2888ac3856394052d63b2,
'pte': 0xbcdae8bc747a067b741ab203c7454b43,
'qte': 0x1f708383753aade6f2a4c7cce99bf962,
'rte': 0xe3fd2afa75b6e2e40021c7054361fbf4,
'ste': 0x84c48d8e8dae6241ec61766c0e44282e,
'tte': 0x0e3efaaad6de051028e5e4dda3e7927d,
'ute': 0xf8b343ba3824a15b186ffb99fb86a12a,
'vte': 0x96bb8f81cea6b7e8f911249114d5ebfa,
'wte': 0xba950bdc5cbb298217cbaa8794ec63dd,
'xte': 0x928072056c94c409b32b4fcebe13f654,
'yte': 0x485b5ce881936c6a2fe268810b168cc0,
'zte': 0x7675eca5432ac5f24e8259f61e6ece97,
'aue': 0xbb650d49e7c38fd4f51fe347cb0855ff,
'bue': 0xdcdbe346fd9c34cd69f1f308fe0e7308,
'cue': 0x042d9bf5b3fde5d6ce05284e8870ad1b,
'due': 0xd6692dd335c3c6b2ad020e2758eed628,
'eue': 0xe886cad43d3432cf687683e5d1a77363,
'fue': 0x209166c2d928efe6d4a2c66e0c31255c,
'gue': 0x944c4afe62b91d13e9b211f0d9105d4b,
'hue': 0x71a6b6f094346a8832df801c8428ea06,
'iue': 0xee151eca2b2708107ad59aeb7ab5ef50,
'jue': 0xd71f30a340bf5207f02bad96401a1275,
'kue': 0x640a3ae9a93298b2784ec762368c8a39,
'lue': 0xdef5c67b41ee9fc5c3b2e27e957812e4,
'mue': 0x17652180f8ef501edc196a83110d6014,
'nue': 0xa263c8011d857d6b8485892de8430b27,
'oue': 0xb9d95fcaa59152ebfdeed7947e13874d,
'pue': 0x7ad081888fc8dcbb541fd25a31a4dcbd,
'que': 0x8cfbcfcd27c86a9ca3648bb0386c654b,
'rue': 0xa7dc5849a233266c71bc62f1d163c34f,
'sue': 0x2e9edf50f2aab9d29f53de966a261cd3,
'tue': 0x29034b2eefb2a581a7c7a11cfc307776,
'uue': 0xbde9732f5c29150a162627fb60b1cc72,
'vue': 0x951c1f757a9f918f0624cd5cb90b890d,
'wue': 0x2619fa44d70d80bc0ec3e48068a16656,
'xue': 0xd63f38a8f0d649e45beb7f133adfba9d,
'yue': 0x338950d9c045e30e626c25e22f2d7776,
'zue': 0xef113efe33020674032e60d82532f94f,
'ave': 0xc8b3f5cc93013adfb0cc205e17b4ba14,
'bve': 0xd55ddeb2977be0734e5e1c3b012547aa,
'cve': 0x1716b5fcbb7121af74efdc153d0166c5,
'dve': 0x39f5f573fa1692bf558d4af3b6590ed7,
'eve': 0xfa6a91ef9baa242de0b354a212e8cf82,
'fve': 0x70c3ca6014afa8a5c1c4781a6dbf5603,
'gve': 0x215d106e4a7275955aaaf3c39bd71388,
'hve': 0x8772bd6d2f745189dbde651e267502ea,
'ive': 0x38ab1afbd102631c8874ed6197ea9ebb,
'jve': 0x2fc49ee2a330a8e5103a8523c462bcbc,
'kve': 0x4ae1cb03024d1341c206c3c14ab9ee88,
'lve': 0xc9afd44e8404c030f5f2fde4ca0a0496,
'mve': 0xba70d0e436cb672de5325dfcc6eaa8ea,
'nve': 0x2c5a714dc3aa0d5b8a3bd504de089aa5,
'ove': 0xc3c7975faa7c1885570d4d8c7441e5f8,
'pve': 0xae4fa14f5710172dbb4004325ad71fb4,
'qve': 0x2ca25a01fe8a87b5f1d070dd59f66e61,
'rve': 0x6ca7a16d5aa37de5d8d20d0be63fe89c,
'sve': 0x6cd801edda713f7926d55a6ce0fa50f6,
'tve': 0xae32a517431fa760f520713e2ddcba5b,
'uve': 0xc9c6fdae2c12bdcd4f914c579dff4458,
'vve': 0x3e9edd08669e04509cec072064f8e32e,
'wve': 0x19f9d3e3c3d7fd741d436d8f7fbe801f,
'xve': 0xbf7ec9a15c2b9e981a5ece68c616131e,
'yve': 0xf30a3af8564519164d6d88b8dd6fd53c,
'zve': 0xb6f477f056a2654ff37e2ac75748e0c2,
'awe': 0x055d8401835cbd280eebce0ad57be90c,
'bwe': 0xaea4943e843235ad090ece9403605868,
'cwe': 0xe7bcc6e091b8d20ed1217032325e74dc,
'dwe': 0xdc189cc59c532e75e957f5dc64f03b82,
'ewe': 0x4382daaece802e7d788053002d0aaee0,
'fwe': 0x883360465df7a0bef51545e79b07147f,
'gwe': 0x96e4435264ebbc238bf2d40aea3684f7,
'hwe': 0x7d285b26385e4e6a1f67ae6fdcfe4337,
'iwe': 0x0a8eab4535c837969d59cff970a08b60,
'jwe': 0x00c65639943b5dfb0989963390baa942,
'kwe': 0x58eb60606042796096c80fbb5abaf8ab,
'lwe': 0x42e56d76aa0dadaee53a32954a71547c,
'mwe': 0x5632357ed38301262c1d06f76ac03f0e,
'nwe': 0xa044cae86176ac54b3c9ae6c38c0aacd,
'owe': 0x92159805cf28ee78e13c41ebbbb1aeb4,
'pwe': 0x4d8f1d4d92428ef4ee2e268c53a13926,
'qwe': 0x76d80224611fc919a5d54f0ff9fba446,
'rwe': 0x7b91e738dcdcd9011b3bea8c2f8c46d8,
'swe': 0x2708c3704f3c6a7b3a9e685289b412aa,
'twe': 0x5187c3cc0c7d65f5b02cb6a27e1f8f7a,
'uwe': 0xc418f34f261efe1473465ade95bfc22c,
'vwe': 0x3ea04c6e1acf97b5be7f9343a36cbbe5,
'wwe': 0x947af30fc5fd1aaf1e0d8899d5d5baee,
'xwe': 0x19d28f85b3fc6d10601d163680bc6949,
'ywe': 0xbd10d969145d21ba87d043aa6f74bc08,
'zwe': 0x895664127427c19e2bc5f52ec6cd413a,
'axe': 0xc89ee4a2c9dcae6581ca53bff9aa4ee5,
'bxe': 0x8990e36dcc319817989da732c90749d5,
'cxe': 0x06c7d853dd2acad3666ac716076c96d4,
'dxe': 0x100c5d0a77b448f869094548f0cbefe3,
'exe': 0x98e83379d45538379c2ac4e47c3be81d,
'fxe': 0x3e50311fffe2bec3c48a85c36b5740f0,
'gxe': 0xf686fb0da4014a1e5235ded234868ce5,
'hxe': 0xca893e14665c31f055a9935cc2f20d09,
'ixe': 0x0c0eca1e3a7fc1cc2eea25bd6e8f2a3b,
'jxe': 0x45142496f5e142c128c8d7d2c4172761,
'kxe': 0x4562f5f1e485286a5777cd10117f8bd5,
'lxe': 0xb1af537b77755d8a5505205c08808f24,
'mxe': 0x9f09116467e69aa87c63ad081c1ccf3d,
'nxe': 0xeb57efe950e8ceb711d79036cb43ecd7,
'oxe': 0x9e5102550e19580a9a6f064fd58b7d21,
'pxe': 0x8615bca832224aabaf5c10d6f1a689f9,
'qxe': 0x6d978b883d9146060166dec9ee825ecb,
'rxe': 0x7859b508f8c95f8410c29851de805916,
'sxe': 0x75e4635b97622e5504161a4a8ba7bea8,
'txe': 0xb59ff839b908382970fb032b175faa2d,
'uxe': 0x542e0fd84827ea277107510e8b30b56d,
'vxe': 0x1029916cf16cebfd7eece000da0a1cc8,
'wxe': 0xe9a7e55ef3812d0f42e79ce5cf26da11,
'xxe': 0x0d0f51ff97b37b54f621e858075e7a05,
'yxe': 0xd470bdf970ca1ff4f13bc938a64dd8c4,
'zxe': 0xb002d7062aecf9ebb9928b7278b2f69c,
'aye': 0x15be96c681f86d5e22721a05dda30a5f,
'bye': 0xbfa99df33b137bc8fb5f5407d7e58da8,
'cye': 0x2c5bb0ed019a5f29a8ae02448303bc9e,
'dye': 0x778c378f86aae5912fc25210fec31466,
'eye': 0xf19bd0844e53369373385609e28dbf84,
'fye': 0xaac34b7f70408f88aa466b5356f58d82,
'gye': 0xfb253ebfe35cc4deee7d8e5690de25a8,
'hye': 0x7984589418d6752169a6a571d8e8b73a,
'iye': 0xc8f2768d98b97982e54a020ee9f33d81,
'jye': 0xe0341431df2546bcf96e4445488ffdc6,
'kye': 0xe205c121d4fc16462f2e132088fb4394,
'lye': 0xa5c91f4db53bb2c563abdf289e5248a9,
'mye': 0x14b6b08ab073037e0b54e390694fc230,
'nye': 0x0e3a1abc3c7f9e12aa86a66a1bbb9e05,
'oye': 0xd683201efbac336550eb619f7cd1de9c,
'pye': 0xb138c9c017413762c8f9537a20705b20,
'qye': 0xe075aacc3440ddd6a057fd6213cfc23c,
'rye': 0x978c7f86526e2d45e0ae34b2d04c3e73,
'sye': 0x0bbc0bb2d673083d2d957ab3f0e72862,
'tye': 0x1734547f065ece81a28f96ffc031306f,
'uye': 0x41b3b100f2c1686edef944ef821679b8,
'vye': 0x9f33f10842c18a89d8965ca7e01f85ea,
'wye': 0xf9240c27ea3894538901461d6fdf7d15,
'xye': 0xfb618604fa38d08b76ae9c73b0e0f589,
'yye': 0x592a3b965bb85ffcdd783956bf830322,
'zye': 0x00beafd3d560ba57ac90bd8ada1206a6,
'aze': 0x0a5b3913cbc9a9092311630e869b4442,
'bze': 0xf3578060421e65cc69b45bb17b6b4aa0,
'cze': 0x8620c96e93ff2c0b31ae59099e1940c3,
'dze': 0x33d93d3b618b24a1f9be97aec29c775e,
'eze': 0xf4420cce8068ddaa4dea3f7fa54df4c3,
'fze': 0xfbb253e5cc8f5b706408c927799cd88d,
'gze': 0xf1560fe7bb08c4be356f863176830d7d,
'hze': 0xc5a29335c4969378722f94e3cf6023c4,
'ize': 0x1bf35d15ff1b12f44af7e28ee43c84ff,
'jze': 0x8cd3a4dbb015f6d5dc01f44491586e87,
'kze': 0x21e3d08bc828521f925fac74f2cc634d,
'lze': 0xb1fdf5c40398ffb230399a478c934213,
'mze': 0x9cb0f8da6d987034b18c71d63584d3aa,
'nze': 0xa3d1f894ef2840da6835bbcc14511ecd,
'oze': 0x3ea963ac22365b15d316766a594d691f,
'pze': 0x67d99061b2c500f0eb8d1fcbf9481b3d,
'qze': 0x79e67e9f01935459075cb37193169b33,
'rze': 0xa5377ba85b7cfd20490bc2a092518e3c,
'sze': 0x12fa895727e2e1769ab8a176ee5367bb,
'tze': 0x9b0383744fbeb293b791ae96810bd64f,
'uze': 0x1fb478ea5dc11722affddca18faa6f5d,
'vze': 0x7470d16104b516643c0e7d05e3ad27a3,
'wze': 0xedd5be3ffbc158fa6f021092343e7b5e,
'xze': 0x91af9fd938b8bde6f4e57f3c705d416f,
'yze': 0xfc43a54f5bb574b42ec1b8e58f5a9a0f,
'zze': 0x5ae1c9dabae55eddb7ac88cab5bbb6ea,
'aaf': 0x3de47a0c26dcbfde469206be4bd55865,
'baf': 0x60710fc39180f03bb8b67a484a969021,
'caf': 0xa041fd74f6e07754fe6b3ba46e53bda2,
'daf': 0xdd982884edf68487cb8ff664b3dfdf12,
'eaf': 0x398e143ef14b4585062ef7a9e2f77457,
'faf': 0x9186844637c7ca38f5f65a804457d2a0,
'gaf': 0x81e60ab8189d3157c4cc0b734c7597d7,
'haf': 0x293e907c016b53e91947a08ca7948568,
'iaf': 0x35a64b9b4deb083ca02790bfefe0a055,
'jaf': 0x1d3c331ef859c185bf35fffaf2fd8f68,
'kaf': 0x52716ae05d0d217bd73c06952bc40c85,
'laf': 0x992b678b98d7c8a821b152b0c26ac2dd,
'maf': 0x949e5a8f3b835593df69a1812251423e,
'naf': 0x2a33a22558b84f226250869393917562,
'oaf': 0xc9360b71fe32e821674121898c01c73d,
'paf': 0xb90a64580ab4862d303597e6491f4380,
'qaf': 0x91873948d7536d3a77425520930feefc,
'raf': 0x0d0ac1d076adb07d8b0e05f06c746da9,
'saf': 0xe8a88bb6f4d420a8517965d25cd54a14,
'taf': 0x63a5ff4002168b5cc9cd595d3b2e18cf,
'uaf': 0x5e3d386b78ba3e70f4ef55b18414473d,
'vaf': 0x8ab217e9a658affdafb82d676ad29fae,
'waf': 0x47342d1bee153385294760bddb8a7f49,
'xaf': 0x51a0b068bbac930f6baeda7c4434b0e7,
'yaf': 0x1c8960de607a5c26c0a775cff5b5f932,
'zaf': 0x6124ec48acf5e5930bdc310cea6b154c,
'abf': 0xff905c528ce7ce9e64c0758b54855b50,
'bbf': 0x99e1a134b5162ec1f876acde751211ea,
'cbf': 0x97da034e414a7d0efa59498d9b2c484a,
'dbf': 0x88d72f4ffa6915da3a2c56c3679f6aa3,
'ebf': 0x20f1e364e7e2ad42602758909c4fee97,
'fbf': 0x5a61ba2a7872efc131c0f9becef6703b,
'gbf': 0x6f1df552c231d3f95a92c3f2d3491efb,
'hbf': 0x5dcb882edf562cc09f6f4afcba855a70,
'ibf': 0x0ef3f62c392af19c36ca7eabe005e60e,
'jbf': 0x158a4ec4f8367834be2e63d8f64c2a74,
'kbf': 0x16da07358b840a31749ead1f06337645,
'lbf': 0x35d2cf690773e3fe062cf02a248e056c,
'mbf': 0xed93ddb551ce66e79f45c0716979fb0e,
'nbf': 0xf5d82e8cdf76291b3bc8515651bb8141,
'obf': 0x1ca41b27852479b1cc4dd3a26dfc9aa5,
'pbf': 0x72743163ff5b10cf97587569e4a4b441,
'qbf': 0x97b302c0a96026e61e33478212cc254f,
'rbf': 0x1c2fc056f2b0d4685d95adb8764a3912,
'sbf': 0x0d54882b950bf37964ed29956d06da0f,
'tbf': 0xc7a42ee6e357b9b9fbdea360044b071c,
'ubf': 0x8cc1f057ae895405fb1873a1f1b14585,
'vbf': 0xe241a2e27cefb3e5cb62172091ac44e0,
'wbf': 0x3d4ba5f2a9433ece7b0bed38c0859b70,
'xbf': 0x0d788ebde41ade26b234acb3fb061fd8,
'ybf': 0xd30b86c8e2b626210d4018bb2197a9ef,
'zbf': 0xe028cb83e104a5814d539f77f66f0352,
'acf': 0x4af8312f6c544239b2f0346cb1ddb223,
'bcf': 0x28cb510090e7e926daa92745a8b02362,
'ccf': 0x7c6f989b82189ed8ec46ec2973583ba9,
'dcf': 0x1eb3aa055e74efd118825142f6ee3e2c,
'ecf': 0x6dd909835db21a2c776707daeb646070,
'fcf': 0xb40ac2a3761c5ef1abb96e736e99ea13,
'gcf': 0x08af61619ffa75bc53081f8c2b4ddf34,
'hcf': 0xd740d0634cc9966bec08e15916838011,
'icf': 0xdeeebfa30032e55c4abd29fe84532830,
'jcf': 0x3747421e99ba5399f6aecebb8c7fee3a,
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'ocf': 0x90de42b7ec0c096a65e10c3b839fd934,
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'tcf': 0x0767945704f39b47d6d67c4caa2caf8d,
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'xcf': 0x5c4d56812adc899ee4d46382e90cdfc4,
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'hdf': 0x9aa0b8e9f776639f84f688cc4cd75ef2,
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'tdf': 0xfc29636e13d147c11b8c412506ccc45a,
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'zdf': 0xbfb6e3c9912e182559bb714ebcda36f6,
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'jef': 0xc386950aa5131b703f031267f77e1075,
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'vef': 0xdb885412638dd61f8ef53595021602fa,
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'yef': 0xfcafd32783d9424312794b1298da3162,
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'bff': 0x18452e2cfbce406f89298e85200f9cea,
'cff': 0xdbf9be6a30ab421f18e7c8b89c1baf09,
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'eff': 0x54dd11685d504aa2eff075007900b41f,
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'gff': 0x07a8d34bcc99e08ff30f583927d1833d,
'hff': 0xdcffd2bfa8db9fb28b0429d5368be190,
'iff': 0x202291f5fb00d2c32c1b5a6c0cc622ee,
'jff': 0x749a701f1fecf3fa691c59cc13f7a8ea,
'kff': 0x6ad7778526bf9c8fabf57a8375b84c42,
'lff': 0xc5fd0b2dd03f485df3711a7a357cbf30,
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'nff': 0xafe7a3d92561668f37b7498c234f5d5b,
'off': 0x3262d48df5d75e3452f0f16b313b7808,
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'tff': 0xd5a7dc7980573d20e6f41bbbe0cbda03,
'uff': 0xda8097c86542623264748bfd1df02119,
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'wff': 0xb000412432f4de8933c8f6fbed36ba94,
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'zff': 0xa856a564b30195640a35e64f48710e25,
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'cgf': 0x204c034195d99ec0bb1953f9a2b600be,
'dgf': 0x44cf0a8fc0e60eeb5d0c8101a0f4b553,
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'ggf': 0xc4e39d6ded17f86e7a817851322821a5,
'hgf': 0xd187535d40b96a60387e8dff44b0c491,
'igf': 0xc90f8e52c7f08f74e7247669cf22552a,
'jgf': 0xb6cd1b1161b964f0b1159ab4f07fc2de,
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'lgf': 0xa6df6e6ee30a214d421470d01d4ea6c5,
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'ngf': 0xb7472e8eaaedddca9eebb75ec5d929ed,
'ogf': 0x10b52a3d9e403ba429a0e10a497f0a5a,
'pgf': 0x6848c4b6309d271cba760b85ca82568b,
'qgf': 0xa8020ed586d022e8bf0915e8afd9ef0c,
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'tgf': 0x1cd450a7ac32f4b9a2e3dbc52ab97f72,
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'wgf': 0x497fc15a721b1afa1b0514868dc628ef,
'xgf': 0xc341223cbee904a334e0b90bc8cf4679,
'ygf': 0x3a19f2d127597784bdf6ac39a4d4735b,
'zgf': 0xd4d4dafcd42a55b148194826e35fad3e,
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'bhf': 0x5ce38ae809793c4df12c7782b7f0f93a,
'chf': 0xe362f75f5e2f0c8c68728d1c99cda3a6,
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'fhf': 0x7879377bfc39b82e00b803c547910c5f,
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'ihf': 0xafc557af496fed85c883697374070678,
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'lhf': 0xb5e3e17346a7bdc2fd3e4f09e14cb047,
'mhf': 0xdd5ea969bd721a77f4a4ca35e1da7ef4,
'nhf': 0x24068e5ee6796ff17500458cb7712fc7,
'ohf': 0x9149fae599e74fd9faf80895b659fe18,
'phf': 0x5f1f0a7ab27efe156310472f35f77650,
'qhf': 0xd4309277afa80bcd74de0d6fa80d66ff,
'rhf': 0x9f1e6d645ae538516f72abc225f7611c,
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'thf': 0xd65016fdd39dd29c58c757f045c7330c,
'uhf': 0x6cfac57a7b2c0ad1cdf6db47b876050e,
'vhf': 0x72917bd1186ce3a0771c0d581a0b2a7a,
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'zhf': 0x99e36bdf9c656e89f03687825285fed1,
'aif': 0x32827594f6205fd2161b1fb1e09f048d,
'bif': 0x2fc9a34eaf0948743c6d0a169fad468e,
'cif': 0x2543c3649969401c31c4def9bab7ad51,
'dif': 0x3d863c71460b491cf99ae2506b27aca7,
'eif': 0xdb627f0571862b5cc4b1bd90e4f6539c,
'fif': 0x159029955efc62617900ac2d7039e3e9,
'gif': 0xd38252762d3d4fd229faae637fd13f4e,
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'iif': 0xd59027c5e4c7d14fa758fc1475aef056,
'jif': 0x8022a674fa96f1d806dc703c851a0352,
'kif': 0xb4b224446a77077a8e311341ef5944a9,
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'mif': 0x1c2ca35f4e76f7d98fefd20a08c93736,
'nif': 0x1f5ce3fc856f5e5bb2cda200f902e63d,
'oif': 0x810ac0a45d3d10c6756ec1855c896614,
'pif': 0x2a9a4f5d1c247d0f97dbf345064786b9,
'qif': 0xb097b6f4e9fbc6734d96274b302791e8,
'rif': 0x6270f46c53dc0a7e2c27dc34ef27eb69,
'sif': 0x09bf96e249f57fe6540506b9a029368a,
'tif': 0x423c3fba9840072ab5db43ced5d96f83,
'uif': 0x91adf7e91145b753460e5861e358e6e6,
'vif': 0x91dd16eb6eb42839df38f62bfc3cda48,
'wif': 0x27cff2e3c96474db91112442bc7503d5,
'xif': 0x00165b1be802d8c76bed64c3d38c6736,
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'zif': 0x82c54c5a500edb311b3cf6cea8fcead7,
'ajf': 0x2f9d518848f2539fc7f17c1e518648ad,
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'cjf': 0xa908b560a69f3658d8f856af2cb6a8a0,
'djf': 0x34c1dc2478bdf2c1eea637cf1a68ca1b,
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'fjf': 0x2ed47b118425f81921175136079cdd75,
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'pjf': 0x1585b6f15dc76d3521c6096b0032b085,
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'tjf': 0x36ce1cadf56bc35b86dbeee7b4532eab,
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'xjf': 0x241c745c7ad42abf096ab9a0093ef7a9,
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'akf': 0xa8f326157470ccb624ffc3908c8aa971,
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'ckf': 0x161fb3712d18aa29dacd4be478f24c4a,
'dkf': 0x4c6759f913505fc9a841e653f14909d2,
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'gkf': 0x10761cee8655a33a1f9358af1d68e85a,
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'pkf': 0xdb84fc9250663b2afffc1df5c89cc212,
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'skf': 0x253545033ba1e7bf5d22af6e2e34e586,
'tkf': 0x847fad6e15bc115de634aa7568a0246e,
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'ykf': 0x93495c81a46ea23682ce787812b799ec,
'zkf': 0xae7523c527006b69e26a69067790267b,
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'clf': 0x783929fd2845763100ffc9438a62dbdd,
'dlf': 0x17e31ab8ce680b931d18f965b5a1f1cf,
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'hlf': 0x78b5d2d60d8f4b25c27f96f1ffd799d6,
'ilf': 0x7de3f24a12209cb9def812dcde99ff33,
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'llf': 0x774b8ddc37a0c355dca12529e8f405db,
'mlf': 0xcaedbf982237596f8704d672e2aff566,
'nlf': 0xf4690cdb6de95f2da9fb385313a194bb,
'olf': 0x22ca9b1646a63d02a0db366c12ad2c94,
'plf': 0x3c2e2fabf82fe82f8148d331d49a2cae,
'qlf': 0xb7080e7cad271ed6db0f6fb44deb823b,
'rlf': 0x0092b5a1ffecda011cf20f4b5cd9b4db,
'slf': 0x6969458a143230c308ac0749db4e36ae,
'tlf': 0xb55256d134f84afc3f5a61bee72f1548,
'ulf': 0x9ed734ffe2a74b304e5e7034c46efa98,
'vlf': 0xe66f4183fbecdba50d317584bade8d7e,
'wlf': 0xfc6796eaaf289c444c76c8fc818bf73c,
'xlf': 0x64d0b51df404a5f6604f4e31f4948718,
'ylf': 0xa513097c98f1938ba31d2ae5a625c1a4,
'zlf': 0x45fda22435f89f22f2ce6756a3cf32c4,
'amf': 0xbca5d9856fa862c067e98db933c69aab,
'bmf': 0x754f8b20e52d3990350c0eba531fb564,
'cmf': 0x6866730893aa11b9fda8e37c3f07ba16,
'dmf': 0x95d82d6d9634b7fa4150a62669f29963,
'emf': 0xfd165adc15673b1b0f2d4ea06692095a,
'fmf': 0x01bce90b9eeb620ef8012cfbeb6297b8,
'gmf': 0x3e9fcdb8e229b0d978e6ccbe687ab65e,
'hmf': 0x2885caf1e6337e1848d95ec798b39388,
'imf': 0x53c0889d3fe84966ac9a76e97dfa955b,
'jmf': 0x3279e65e8b499758d0988566d1ce2229,
'kmf': 0x5a0c1053725bb789a17452e044541599,
'lmf': 0xe07190eed0ada6a8cde1dbd4cf67ff88,
'mmf': 0xf09231fd001885d7bd37b3feb932b51d,
'nmf': 0xae817d44c4137123fe3006f6ad7ef048,
'omf': 0xbbf09628843622eb9b6f8d592d315c33,
'pmf': 0xb0675c02736b963781310276408a14c1,
'qmf': 0xb5304f22f94a7e025cbf8bbf9f676e98,
'rmf': 0x4e09639452c8d946bc339b23600d7089,
'smf': 0xa6183ffa5f8ca943ff1b53b5644ef114,
'tmf': 0x950661fa652b1ac89c52fae24385623d,
'umf': 0x1fdf0cb526780318e869df064fd2b948,
'vmf': 0x5f5dcb347b84ba966508a66d0f53874b,
'wmf': 0xe45e98a6e628ad018d701e53dd696fb2,
'xmf': 0xbcc534f8f4c5967cf55844b7c0c1eae1,
'ymf': 0xfda159a014b00ca7147e55905cda272a,
'zmf': 0x77fc46fbdd6ffdb5feba9a50332f1efe,
'anf': 0xbce38c246ec89a265e7a7e9118105c1c,
'bnf': 0xda46c6375670bad7016ef1935037cfbe,
'cnf': 0x5a70bc203732dc9108cb922a4fdaaf74,
'dnf': 0xffd93b30364fb8893d5bbb6fdb312666,
'enf': 0x615b921093450ac85866105a6be15b0e,
'fnf': 0x36b755c2bd4095ac49635402b9940dd5,
'gnf': 0x9d2e5bac7c02410a4fc7023519944bf5,
'hnf': 0x00a2632fe4bfb40c8532e852491ac685,
'inf': 0xee7b630995e7a36b6420696989441e2d,
'jnf': 0x01a196309451cd50f08cf684b00972b9,
'knf': 0x07973ab2b09955a531b6b10a3f1c9010,
'lnf': 0xc9f6de4b6609d122bd1b06ff684e6f34,
'mnf': 0xb616a0de3ca2d0e9c1c13fc6a6f4d49e,
'nnf': 0xdaa56a683ded9228481ae0b4f48b6692,
'onf': 0x88149ab8d94aa62ffee7e9fa9250de1b,
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'tnf': 0xab9bc7ce433266ca5b4543e538aeed73,
'unf': 0x8c07006c215977af7af14e0ddad43d69,
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'tpf': 0x03916468f594ae2f83c552a26b81f169,
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'ttf': 0x3188a8301b98ccdc7d297e902041bd68,
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'vyf': 0x38749dc548c17c0ff87488e108e1df21,
'wyf': 0x53dfd56cb7ca0ef22ae166e9e1cc06ae,
'xyf': 0x32680ff476e617af7d5017b8fd3a3a16,
'yyf': 0x2c3a5a13006a0c26e9e72c47aaf821d6,
'zyf': 0x00190ea3d40c1c397fc4151b6e27b52d,
'azf': 0x57a4ec1a0182404faa48a7921b4cf90a,
'bzf': 0x09b731846db7a3e87d492b4b8cb18cfb,
'czf': 0x0b6ba65ed650a31114ac983591128379,
'dzf': 0x79a38f6b963bab170d7cd5cf25d2570a,
'ezf': 0x88e9cd5f9d95f206fa4e248045c0cc9e,
'fzf': 0xd42d4425f2971e1f8527127bb8425598,
'gzf': 0x5221433af2dc4a22b5ac1a8c30f5b5d0,
'hzf': 0x48e0264a509f08850a76d6c7f7fc27e1,
'izf': 0x90dbc63fba2640de85f7f87947676f80,
'jzf': 0x3f2b3aeeb2db2deb4b2d699750f8d579,
'kzf': 0x65a3722d53fdc9b0a5f5bbc4b479fd7f,
'lzf': 0xa44fc5cbb123921b0c79d882f1cded3a,
'mzf': 0x58ca1d7bc616d48b0dcabff3e060b875,
'nzf': 0x6b945411ea579030c7ccfe2ee13bc8f3,
'ozf': 0x6172d4df0aed5eb301467ad17da3c842,
'pzf': 0xe03afe74d389c124e1792f1a0355834d,
'qzf': 0xfa19a5bcd172e1346746ab6cf38e40e1,
'rzf': 0xd771ce5a4c5fa81ff70ca35081ee85d2,
'szf': 0x0725a99e81191e2c30e7e9d9301a5f87,
'tzf': 0x6b1c5f2dfc828405850929e845df7963,
'uzf': 0x17454b0265a867a4194d22d237f3317c,
'vzf': 0x01e8d5de4d5b82b211ae40c46f897947,
'wzf': 0xd3495108dc400a473571a4fed25af3f9,
'xzf': 0x9fbb239f9faa3438aeb78f8bee213d17,
'yzf': 0x1f1db6c89f8bcc5ee7db2aeaedf3a0bb,
'zzf': 0x29f7ee15bb2fb02527f23c164f722352,
'aag': 0x32ee8ad114363edfb0b9389f79409245,
'bag': 0x4a82715423d654d61838e81060a4cdf1,
'cag': 0x72db2bbdcb84d7c913a7751cff5fe76d,
'dag': 0xb4683fef34f6bb7234f2603699bd0ded,
'eag': 0x3c9448057945f8b40a7642bf15a47333,
'fag': 0xc592eff5625d551b0c5be656377ff871,
'gag': 0xa5f9a8e4d375eb82ca70f7ab7b08ec7c,
'hag': 0x03f99e79f66b72a8246e610c8eeae66d,
'iag': 0x664eec9e029018782425ba6d09e672c6,
'jag': 0x6d3b29d3effedec81efd70167d6bf670,
'kag': 0xcdc053d387fea277012410a1e2a64a3d,
'lag': 0x74745889a21aee20c4fef05b60268323,
'mag': 0x741f63d12d767bb3fd2b0251ed839499,
'nag': 0x9fdc8b3f3027472d64e26a8e88fa2727,
'oag': 0x11cf751fe2e716e0b5658a1a1a9dfe00,
'pag': 0x77c345c88d5abc96dff43b05f067805d,
'qag': 0xf9504ac07a079a9262483bee972b3361,
'rag': 0x7542dc7e912162d7e7981176ccb41bbd,
'sag': 0x0ed4ad74551735241d31063567fe1812,
'tag': 0xe4d23e841d8e8804190027bce3180fa5,
'uag': 0xcc0dd9e4ac4bde43b0f42e30ca8872f2,
'vag': 0x5e01231573704966c6ed7ea352bda445,
'wag': 0x6f025eaf376c4a6a2ec6a9f08bc2284c,
'xag': 0xd8b2a8141620f9ac2165739a853dbe84,
'yag': 0x1d3f35e249af1b2a00813a96c762a767,
'zag': 0xff1d045f35b400ddc92ff23df27a0844,
'abg': 0x894852696ee75656ba33c03041b1fa7f,
'bbg': 0xea6abe238a5de067d524acdb821b6e02,
'cbg': 0x5593d6214f97f5224215599c7a6bc499,
'dbg': 0xb1da4861a4edf5615ec39f07963ea8db,
'ebg': 0xe6d07530a2dc49c7311c742038c256a9,
'fbg': 0x6f67948f708dd53c2d320da103868405,
'gbg': 0x95b60ee8ac3a8f0a81e08600f8e35313,
'hbg': 0xbc9cf09ccd5e6ec40841348d7b60012c,
'ibg': 0xebf2891d9091c5a1b5b7b20ce3ea77b4,
'jbg': 0x0827c23fc97a1cd24b873a51127c63ba,
'kbg': 0x90369a393bb5683b704290ae37a12c91,
'lbg': 0x3d177a338323be591f10c1b45ff7fd7b,
'mbg': 0xb93776ca54178e43b3a87c6e51d048cc,
'nbg': 0x8d38abc4ee3f1b21e753dde681d5265d,
'obg': 0x6e7c5fbf04accd91f94d85822ff8b4c4,
'pbg': 0x70c23a149199431eb15dadb2794e2aae,
'qbg': 0x6ccaad39cad1c827278a05350283b4e4,
'rbg': 0xc32243ad91d6a404f8174a8815870d90,
'sbg': 0x037b02f21d877dfa5fc5bf220d47471b,
'tbg': 0x30dbf9f1402f22ba624574fb696a5725,
'ubg': 0x9faa29f8f03ec0cec1a6e358f6e81d4b,
'vbg': 0xdea172e4fc1b463ae0f9e457fcbaab06,
'wbg': 0x88ac3c7cf7e9f77feaf7d969346863d0,
'xbg': 0xbaf4cf597accbda6a1666bb02acfe814,
'ybg': 0x0ef180e69f4abe0218f94ae8f3c56b60,
'zbg': 0xfa3ed59c1bb4a135af527ef450b129de,
'acg': 0x5812ab771e5d64e586cacef5aa76a17a,
'bcg': 0x3596b69d068cc15535018bb257b3e1ff,
'ccg': 0x015fb05c2e9b61843249f5b2dcacf94d,
'dcg': 0xfeb1152ea7abd9144ec72c8a49ace4e7,
'ecg': 0xe971346b8fdc81ff919842b9c0fbb79b,
'fcg': 0xee0fbbe9f2b75075b85b43e8700cb2e3,
'gcg': 0x33045cbeee04a3e57791bf0177468bcf,
'hcg': 0xfdd655df85a0a8dd0815df61b2776661,
'icg': 0x5b2eaede449e45891a96ee9188cdc01f,
'jcg': 0x2aecdcf5d93998a77686305d7de9fc51,
'kcg': 0x3848c476ccaefa47fd9974ccc51c1eb5,
'lcg': 0x132527b07cb57cc8958717f2a631276d,
'mcg': 0x09d3b901b15b43dbdd8cf05e050d6569,
'ncg': 0x125791b51fb3d6cc7f09b92041273f01,
'ocg': 0x2f64213176e42c28d3a9f8b3d3131c36,
'pcg': 0x248f9eebcf78ca61cda43bb69002f139,
'qcg': 0xf89932bd92f0ad1b771b1dd35827d81c,
'rcg': 0x17a0f3411968040fe641e02c17d04334,
'scg': 0x82f8408d7aebe00286dc5dcef7d29429,
'tcg': 0xe2d35a19e2bdef86f0b46c6e9ec3dbd2,
'ucg': 0xd5b0a84f25b0d5964ec8f6d93642d4ed,
'vcg': 0x202a06885f99287e6e951175264236b7,
'wcg': 0xbee326c08e72f14e0848febcb68c6f21,
'xcg': 0x64f2220a34aa92357d1f5cdafcb8afcb,
'ycg': 0xeefacee5922a3ca1096eb7a596b79e4b,
'zcg': 0xc3618c31c68dd9315dd343d6dcfaa3bf,
'adg': 0xe6f0cf8118f80275d94d4de3fc63cddf,
'bdg': 0x465cddb2577e3eec1644e04b8713acc9,
'cdg': 0x0addc4416609d628ed133ef1d65f5f48,
'ddg': 0xff9e747b03c22f2be9090b78402130e1,
'edg': 0x7c1e8f60df890199e98e1a4a7ee5cfd9,
'fdg': 0xbf22a1d0acfca4af517e1417a80e92d1,
'gdg': 0x9409135542c79d1ed50c9fde07fa600a,
'hdg': 0x40db79bf823cbedd560c0768773fe44c,
'idg': 0x2f3f6b41c74d0d7d089c883f7d2d33b1,
'jdg': 0xb3b8a5c2b5ed76f235a7e6167b2de0a7,
'kdg': 0x084387d79f1cae0cecd9a8eaccbd23b3,
'ldg': 0x551f4c5602ba9072b52370a5b9a0fdce,
'mdg': 0x1d7831597666abe0f5cbcb5e742006a4,
'ndg': 0xb235fd01d8130026cfcca86a1b206208,
'odg': 0x977c7a0a4554b6071fdf7e33484f3853,
'pdg': 0xcda028f5152b80c486a3badaf25a9aee,
'qdg': 0x8f909c8d456bb2994a9f98aad0831803,
'rdg': 0xb0af4e323ecd83c47875fc67ec029562,
'sdg': 0x4c35abffe1cec5e9b16189fc0ebff34e,
'tdg': 0x857525c211f25e1cce1c4364e4e498be,
'udg': 0xfc45acee94825f0278590c64570c976e,
'vdg': 0x68bf763ac23331b3a6f0ab80d78ce184,
'wdg': 0x348eec6bc2b3aca6947319d0c690b2e7,
'xdg': 0xb996ab4da80a3a97c815f3f44a633288,
'ydg': 0x14dffb5c36051af47cffea8a86aacb92,
'zdg': 0x8221bc7534debe784ae372474a1a7cfb,
'aeg': 0x0bedf9a323ade010294f45fa822ba026,
'beg': 0x63a08f52a29e0f7a1f987f4495164ab0,
'ceg': 0x4bf6bcee7252417629e63e2f672f96eb,
'deg': 0x3e9eb617073a0597ec590d7bd0f2a407,
'eeg': 0x80007f222f88c4460eff8f919afa56d1,
'feg': 0x6e78119512cab6653d150c51045529fb,
'geg': 0xbf3abd3d499e9fcbc4bdf206fdad16d8,
'heg': 0xfad756463d885c8c870d0a7eb28ae29a,
'ieg': 0xa2d891a3470368f3d930e87a13b63f02,
'jeg': 0x4c60de5fc1d2c3ad178b18089792e4dc,
'keg': 0x9734659835d9f5aeababb8d3d2389d94,
'leg': 0x4e1df3d256693afb3630685668820df4,
'meg': 0x35623e2fb12281ddb6d7d5f63c5a29e3,
'neg': 0xf24c2c15b9d03797c6874986a8d19516,
'oeg': 0x3aaa16f534340f33d38cf1ce0f6bebfe,
'peg': 0xac40141674092695d8b98ec0e4a6a838,
'qeg': 0x01920a3262c33492fd245a47703c13fa,
'reg': 0x33c0ee425e2c0efe834afc1aa1e33a4c,
'seg': 0x7931430739acc727db829c12b3915b94,
'teg': 0x7b564a287c93006e8b01456f2c6b8855,
'ueg': 0x29fb6a6438c6ef84869539e4b0fc107e,
'veg': 0xe3605324dc9ab85445908aec0dd4b4e7,
'weg': 0x793805d61d24ed4ade56d8ba1a808dbf,
'xeg': 0x15cbc0459b614f33f3d3b147d5024b21,
'yeg': 0xd17b22bc23ffa3b024788047e5786656,
'zeg': 0x583e0ea46212a69a4c16e9c64711ef28,
'afg': 0xee676ed9ce5bd51b4452ddfbdf962ef7,
'bfg': 0xcd0a03f9e556d3329c99880672f5f691,
'cfg': 0x011134986548f3458aa3e7e2a7fceb8d,
'dfg': 0x38d7355701b6f3760ee49852904319c1,
'efg': 0x7d09898e18511cf7c0c1815d07728d23,
'ffg': 0xaa0c4b3be2968f698aa9999d546e221a,
'gfg': 0x9ef518c8e67ac2ad4e63747a90fd9d5e,
'hfg': 0xb2368cda326f23d1b55edf6d1e49ed04,
'ifg': 0x1c01e2588418ce245acdc161c3dc41ba,
'jfg': 0xfd6976a3f3843c433933c30c21738346,
'kfg': 0x19a22281c2dd785d5c2b695c94fead53,
'lfg': 0xdb019cb11c66098998d629533cb6a9c6,
'mfg': 0xfcc66ac1c0e07a00b56b0dc4c0902567,
'nfg': 0x3b671c4e5270052096ee92a961a24919,
'ofg': 0x1810627b547a253d7b51299521e4e3ff,
'pfg': 0xe5a80ecabedf10df9bc8a066f030958f,
'qfg': 0xf6b98457fd28f2543c6ca7d47d9be75e,
'rfg': 0x77837afb30f8344804e691dfe0c696f4,
'sfg': 0x1d9579ed1ec0d8ba600226647d13de72,
'tfg': 0xd419c7f200c53689a2b4f73b7cff7d0d,
'ufg': 0x6299c2c8bb1b51836da168dd066ca11e,
'vfg': 0xc9a38590a3a7510db06afd19816cb6f8,
'wfg': 0xd3fe265eeaecbaa16eb610fdff281caa,
'xfg': 0x0c84d6a86ac5c4e546b9c8e9cb4fa004,
'yfg': 0x48955f8217e288f32f27536d9f21611f,
'zfg': 0x5451cbc4023c7b3d8af3303608ef661e,
'agg': 0x3e8a6ab1d0e7ed98ef5fad10d14ba41e,
'bgg': 0xd9f527109f6c88a75a401e9ee4c5c337,
'cgg': 0xb2d8dbd40f4c86e98de79de41bbd0e6b,
'dgg': 0x3e157b281fa5cea063d8489179946677,
'egg': 0x0e9312087f58f367d001ec9bae8f325a,
'fgg': 0x7e696161f558ab98fc2e43202516934c,
'ggg': 0xba248c985ace94863880921d8900c53f,
'hgg': 0x2f1cdec1a33b0036795634c4b81aa213,
'igg': 0xff2c7130f5cf4a53cc5fea6aeba26822,
'jgg': 0xdee9b77e4e0398d64abbc97a14d0978a,
'kgg': 0x7ba1d45cf100350934288261ce272f42,
'lgg': 0x02a4d83c7cc27aca2f991f69b34dbc15,
'mgg': 0x63be2953da66a966b3a98d09701ddc48,
'ngg': 0x50167b1ce4902409f9b0fb411b8def87,
'ogg': 0x34da450e959d17db92f6876051d0faac,
'pgg': 0xc57f52eabb1ea228c1cfd30aaec0f5fa,
'qgg': 0x86eda3a7e7f11241792e32271c8597f8,
'rgg': 0x81a2ef85594f2a712ca9762b37df11b1,
'sgg': 0x81386693a89ac041e7701b6dfc7fab98,
'tgg': 0x749a7c735e2f86c0bfe126b4a945a4f4,
'ugg': 0x0748f0993da0a0aed370d8ef28fb8766,
'vgg': 0x2202ef49c3af5c3b6072b0c9dcb9d70c,
'wgg': 0x32e1a88b5b3fe791c945cdc8073d7cb2,
'xgg': 0xea12b57eee4ba9b8cb0bbb8b233b300d,
'ygg': 0x6f3c57c616f6a16b946f420a527a1efb,
'zgg': 0x00df9063955e43aeaee70d29eeb4cf8b,
'ahg': 0x130a5b7f2199284cd58153f0172a505a,
'bhg': 0xe6ecef1744d6e2fa0b3f1c6088fb1153,
'chg': 0x9cf45c66fcb67ddc44b04dafa0a20653,
'dhg': 0x86c73f7f6e21b10c82046e36c930f06a,
'ehg': 0x27ab7a8a758abe9ab596c02778055d98,
'fhg': 0xef48092de84bbabeec72c8e279c165d0,
'ghg': 0xd2b0214c9aced3b346343a19767252cd,
'hhg': 0x51c5c82bfa00bdd4dfaac964bcc12ba8,
'ihg': 0xcd63891496416ec5ab6b3d7dd747083a,
'jhg': 0x3994b0f776913f8934f0a5c633371b2f,
'khg': 0xe7a93972b0fdf2c79213c392e7532944,
'lhg': 0x5faa86d631a6f236d6ce701c1eec2e81,
'mhg': 0x764e3a467fce3f8412b4fac1af9c26a6,
'nhg': 0xf3c555f220b05696e3f87a35f2b4f35d,
'ohg': 0x6c1aa1d33acaa74b0407d9b05010ceae,
'phg': 0x8ffcdc13a622f32da559928207451ced,
'qhg': 0x3ad248f8d3739d4e379e723050c87060,
'rhg': 0x1a72bb191ae848ee3baa640421cfcc6f,
'shg': 0x528e740dfb2b2b9317923c105403fe8c,
'thg': 0x0709256293f5cc32a7fb22d03db6dd28,
'uhg': 0x791ec6bdfe1c3e705b0ecce19143fbba,
'vhg': 0xd1e831a08968c589e477cc992f2ef732,
'whg': 0x8230612276f81887429d757e66ebe9c2,
'xhg': 0x8bde7a6f2e4bfc6833abf6e592e0f8a0,
'yhg': 0x55a3fa06725219407ded13f8ef9c8f75,
'zhg': 0x547d7811807e8775fb0f6da62e8d7e6b,
'aig': 0xf21daefdb424e954c6163d3a4d292fd5,
'big': 0xd861877da56b8b4ceb35c8cbfdf65bb4,
'cig': 0xc918e79a514bda7f2baa124354423eb1,
'dig': 0x1534477b314797aae378d292ec836521,
'eig': 0xd9290c12ced1302f1b30609c54c784ca,
'fig': 0x04d8b0d72264ac23a02fdafcc5fb364e,
'gig': 0x97d6804053f94cbda00ec523d7d6b8a6,
'hig': 0x710ce2839f805ee9758701ecdb78f4c8,
'iig': 0x52e0491052a19730d91df4811fa61e8e,
'jig': 0x7117c7fb44ef75cc158499fcc49eb565,
'kig': 0x041f18d4e2e27cd97f4404c2c67cb362,
'lig': 0x583b6abaf6139cbd83855e21b41e8b11,
'mig': 0x25377d700854d26d447a2fb7be203832,
'nig': 0x6c8de65cfa014cd7cca3ae369de910d6,
'oig': 0x447a715162b5fc7810782d064f5eb09c,
'pig': 0xf74c6af46a78becb2f1bd3f95bbd5858,
'qig': 0x408b2c15a6e5b314d69d7e2decea89b9,
'rig': 0x631cc152ec7c7d64cd88c87adf45a707,
'sig': 0x3311842a74c4736836a29eefbc1ea464,
'tig': 0x87013d025dc55978a525c80e70b79d98,
'uig': 0x1187dff7698d6d824e00fd347f5a21ba,
'vig': 0x770ac15f0aa7c162a8aef7e58f7f2071,
'wig': 0x9251bf426197fb6ce04204856a362d5a,
'xig': 0x688cc4a5716a829024501e407f2bafcf,
'yig': 0x9db29659ad972ae33d5adbf6cf2df963,
'zig': 0x238b8d81fb0e0f03fead5613b5234b74,
'ajg': 0x4463c58f7367d3264816c2ac49824cfa,
'bjg': 0xd1f05aef644a11420637bba1316882a3,
'cjg': 0xe13061c5926bb3b384bd5079111e858e,
'djg': 0x0216dd969277748d3aa2c144a3b6e451,
'ejg': 0xd40a0f3cb7638be3fd4b6b9607edb862,
'fjg': 0xdf58b960f57e05bcd7246a2cf7618c83,
'gjg': 0x6ddaa95729c807e53a3e867a213717bc,
'hjg': 0x0cfe3d553e54920ac33397e6558207de,
'ijg': 0x2f2dc2f539d8bf6223582a79544d5d51,
'jjg': 0x36115d825250ef3eb7484221d8167e7b,
'kjg': 0x4b2cc38e274c4a16b3cb1b724d54ceb2,
'ljg': 0x6be0e4e3dc9df02b308fc8a2b8c9d8aa,
'mjg': 0x4110d9edd9f96a6687bb15c16b1792fd,
'njg': 0xaf574bc6e6185b2185adffc7cf443398,
'ojg': 0x6a6a18879203aa2c344a7b7626fae471,
'pjg': 0x9901d25cfedc6af5730c5e26b70f6d61,
'qjg': 0x4a4828fb8b2d8fc4032b4dd8cbc2ed1d,
'rjg': 0xa7544417a95d25039d43779268c3c35c,
'sjg': 0x0bfb7dc2aa47ccbd833417127f7b4355,
'tjg': 0xde8f4e334f52f8947eb1aeb87f47fb3e,
'ujg': 0x47aae130d5cb54532272b7d72ba2af1b,
'vjg': 0x73982db7fe1e2616c5a4c68146f67e15,
'wjg': 0xdce10e3aee3b84a3b993c49cb8c92c94,
'xjg': 0x2251639094ff8cb5db7f021ca3ba8988,
'yjg': 0x287efee3434098bc2948bf47961972af,
'zjg': 0x9b840e1b18b9961b7d883e9562d9f07d,
'akg': 0xe202c0e9ee37bcd13a4ca05c32a5e56b,
'bkg': 0x7be5273374fe1bc3177ca7eedcb377c9,
'ckg': 0x96bfde462ee877e646fa594347ebc24b,
'dkg': 0xe6b492da244632e2e312fccf71cbda09,
'ekg': 0xb841e58aec2d4f1748fa4dbe5209833a,
'fkg': 0x8bd7ede6e240a5d1ebe8023e534611d2,
'gkg': 0xd175904df8b56c5f5ee1254d1fb62272,
'hkg': 0x933a1b0222da4819cbf0ef1da24d1a92,
'ikg': 0xe16cfe5ec00fcee258a38863e4824f4c,
'jkg': 0x004b77a11cb7992b04f0ad7941f0d465,
'kkg': 0xe886a612330ff894badee1b8b65927f6,
'lkg': 0xd8b9f7fe2b505717bdf2bd0aaafc6124,
'mkg': 0x7478842e1292f643b2607055430be949,
'nkg': 0x2e131cfe01f934f7d57236d98fba39d4,
'okg': 0xbd07e7b4dc068edae56e96355079b275,
'pkg': 0xa46a1bce0b67c45bec8f435bd5390a54,
'qkg': 0x8ecf4c0020d61562df1d0ffbf4d7d439,
'rkg': 0xc7f8f4f97bb82b5b35679274723fdd8a,
'skg': 0x397b2470f446644ff508b68b6abcb225,
'tkg': 0xc131aea1473eaaadefd28338cb9d2113,
'ukg': 0xdced00c57ee3690dac61b9a7a22d28fd,
'vkg': 0xd5cc1a80e0eedf977449cffa70c8ae30,
'wkg': 0x0fb61eb1ece418d9a728bf93634a87dc,
'xkg': 0xb1e5216d1c611fbd0db31daea8478812,
'ykg': 0x7a296c8ec906e5a70094c1248de96d09,
'zkg': 0xf3871627638c05b0d7db0466c99622ae,
'alg': 0xf24233114ac85fb3be6785293636ca46,
'blg': 0x8531d59e7e303e2aa71e72620ad2c5dc,
'clg': 0x1c2402a569dcaa197576687d6bd2b419,
'dlg': 0xfeaea44eebb7a05ae689398a5b6196af,
'elg': 0xd77614076eb9a4352df49a3afc89f9db,
'flg': 0x417fee5685385fed1e02fe4dd6219d00,
'glg': 0x2271629a6a37caf8e67c43007d95b5f5,
'hlg': 0xb485c29a079d711ea9921b72fe069e71,
'ilg': 0x37ea0bbb6083dbb3b768e0efe41dfb0e,
'jlg': 0x7b46e4bb774f669a920c664e39d26db5,
'klg': 0x9718a3e3c33c6ab854775890d1b26947,
'llg': 0xb8ae57911c26ed8313cd09a33f7f43f5,
'mlg': 0x8014defb66f852eee1e8fc2b993270c8,
'nlg': 0x1e0ae2e2adfa537159f75d205bac7984,
'olg': 0x876c803725795ac9540a376ef80ac6e1,
'plg': 0x995b70b0a52c88fa6a3eaadc7ad25ff4,
'qlg': 0xd7d3a6ea8d8c965623dee36824de18a5,
'rlg': 0x7592b989c69da9314920492e9917067e,
'slg': 0xb758142187a5ac0b3c350e3b1f2753ca,
'tlg': 0x603adad5fdb2acbd2014257e5c02a6b0,
'ulg': 0x9dc981b68c66c6d2fe3f14fb61bbd116,
'vlg': 0xffd14f700ef9db82ef673b3ffaf86e58,
'wlg': 0x6cff7ae6a1fb7d8228b995563453cf53,
'xlg': 0x24797b24b3c418ef230f826c05d3724a,
'ylg': 0xe2a9e20f41ca2e65b0369981c582769d,
'zlg': 0x3a0d9153638b7860115c0a8f6ca255bb,
'amg': 0x0b65af7f2357d3fa0ee8d8972d7e0646,
'bmg': 0x12ced2b7254f998a728f5ba70c40921e,
'cmg': 0x80a1a684db979e64f29f4cd9e849c863,
'dmg': 0xa1053f60459c2f20d87ba9a2f484dfd2,
'emg': 0xf1a65da8af3a57957137f4a2864f782b,
'fmg': 0x26482c185fbc648f53bf6df0dd7b2ce1,
'gmg': 0xb98274f8dcdebb2f22757a296771ed1f,
'hmg': 0xa5926d72537c1aa00363aa0133a463db,
'img': 0xb798abe6e1b1318ee36b0dcb3fb9e4d3,
'jmg': 0x02588f3e114edc0cf8640c3502f62a30,
'kmg': 0xb4f6c1ac68a06b5d9908cbbd93c9c101,
'lmg': 0xb9e188b7c5369f1b6d9048f2333e5ca4,
'mmg': 0x7ff5a5bf82d506fe29331e55e652d55e,
'nmg': 0xc42d89d599783590d4c5c69e4701d760,
'omg': 0x28b901e3041d5eddb024f7a581b78f76,
'pmg': 0xddfcdfdd0abb74d2140764153655b7f5,
'qmg': 0x669663bb84eb661e0f34e6252f336620,
'rmg': 0xe2bfc1ea60d3ec32fc2dbd6d86e4a459,
'smg': 0xa825009ae6d3aaf8e8667ab4dd15a830,
'tmg': 0xdd1bbcfcc6a5d18d56b82ccf8346be47,
'umg': 0x83b3d8c330e1d36a583d392df858d7a2,
'vmg': 0x0c4b1a16ac03c3ce195bbe0fc75c8130,
'wmg': 0xbe7d54cfa7664990acaeb91f9b75b9a0,
'xmg': 0xb2b845f3132be0f35e67c898fc3616f5,
'ymg': 0x09408d1c0d9d34d2790fdae5b79dc420,
'zmg': 0xa62dec3640ce6c72bdacc4780510a7ba,
'ang': 0x4fb3b68e84149f91bcfd0102f95d3731,
'bng': 0xcd3b2807b63443bd12bab351742858f1,
'cng': 0x787ca12a72bf9b478944dbfa6431fc51,
'dng': 0xf04d1db8e967f05618bea3202fd51a01,
'eng': 0x74e6a8b111ea7da1a7d0a596f4c35208,
'fng': 0x2498a77f5bb5244f432173fbf065b7ff,
'gng': 0x64fb7d782f2be42feb84fef5d0530776,
'hng': 0x549f39c1c2f1486a4d54b5a9372584af,
'ing': 0xd4408643ccbd7e83d0c54f42e405d618,
'jng': 0x6db661a984683256bce13f71fc8b54ab,
'kng': 0x6d7ce8365b78001cf5fb7ed467b0283f,
'lng': 0x8b8a2268b5d3a89f348d5990b846c29b,
'mng': 0x1d62a19ee745e1b0124db2adb0d626bb,
'nng': 0x97c5eb044a20e6d985154a98a05e4f20,
'ong': 0xddf10d41d5d840f6a7d0079028ddd3d6,
'png': 0xbff139fa05ac583f685a523ab3d110a0,
'qng': 0xaa9f84f69e8e75568f2ef1aa34a1eb82,
'rng': 0xd2d9ce665f66ae49556b47436a514c0f,
'sng': 0x21d761a3914ce64591aaa8f2b43c93ca,
'tng': 0xed25b951b2b54142187a1fd507c45b29,
'ung': 0x365ff37b654785db7350837c3518634c,
'vng': 0x271e8e5b70ee43503d4732aa264431a1,
'wng': 0xf840b19aa78baa0ef25b287c94493824,
'xng': 0x50807050c965dcca8c4a54530130f2b2,
'yng': 0x56457285fb95c4a697804ae46c3072a5,
'zng': 0xf0de28c5fd603655c1fae608e967db22,
'aog': 0xaf69ed57819ec5a8565bbe164001f595,
'bog': 0xe07cd1723fbeb38e9e7485d54b593f64,
'cog': 0x01e33197684afd628ccf82a5ae4fd6ad,
'dog': 0x06d80eb0c50b49a509b49f2424e8c805,
'eog': 0xe95c7b13468496963d6716a40620dff9,
'fog': 0x3811727de5b0ddf6ae30defe2ca4d2c2,
'gog': 0x68f96eefa7b34346670149f370c7af5a,
'hog': 0x0cf04112df2ec4a38fe7356b8613fc5e,
'iog': 0x2b964efd0eb35009bbc25d5bcdf0778b,
'jog': 0xc518790e0463f2b7db28d50df8dd6c4e,
'kog': 0xd464bc738ebbf343810a19f8f7ea04a6,
'log': 0xdc1d71bbb5c4d2a5e936db79ef10c19f,
'mog': 0x15b11cc44d2288cbbad6dca68c3c7e45,
'nog': 0x01104a11188a9cccf59a1270fe3f373d,
'oog': 0x7cfc15e4bb4d17b9871046d06b47f8a6,
'pog': 0x5bb50314c7d970ce6cb07afb583c4c9d,
'qog': 0x77c0f4be49631c8007d8ddf68d4f0d15,
'rog': 0xe324ff9b5d9a7b78b9e166d2c45b319a,
'sog': 0xc85254e55b2ea2fc983c0864a1d941a7,
'tog': 0x5b9ca929004552332e808b9f4fb34e38,
'uog': 0x5a2fe5fad6e4b381ba14fa034a1e6a96,
'vog': 0xd1b1ae66af930188fe02afbb74429602,
'wog': 0x23c6c468a034657e78017f6d19bc3e69,
'xog': 0x776cc2c461d7b073f6f607d95743f9db,
'yog': 0x21b7ec923f812fbdecea653aff7b55ba,
'zog': 0x863f90ee1287cf3ac4e94e2f6ea90fd8,
'apg': 0x6069bd2de2d24d3edb29464e75adc229,
'bpg': 0x53a490adec65204303c6aafea046d2aa,
'cpg': 0x014ed27501ba4df67b59a4fe0529d92f,
'dpg': 0x6623bdf78746d87e7c6c2888a5c70c9f,
'epg': 0x4a80fbca4e5671210885cca75da25679,
'fpg': 0x7960b76754d47ced47d3f1357bd28e6f,
'gpg': 0x013365df0fa8bd11a96aac558f1ea973,
'hpg': 0x089bd744ac90e4ca6bfb7807fc6da539,
'ipg': 0x4d4766ea82ee6b682434b33ec9dd16d1,
'jpg': 0xc36bbd258b7ee694eb987221b2b197b0,
'kpg': 0xd9741b154a1a1e12556039adcb27b27f,
'lpg': 0x042f3b97816f38fc28999a500a3fef78,
'mpg': 0xb4f4f5e3c80cffa0f9cb7debe0bed63f,
'npg': 0x82d776891f5ca2eabf4a214f35af1b5a,
'opg': 0x1390d03d160a9219211ff6cb6aaa2fe4,
'ppg': 0xd7d7478110d44787219e88e86973e7d4,
'qpg': 0xbaba052b3f5556f23b14347def1f10cf,
'rpg': 0x1f29b97f8bcee74a6f3de65c9d0a5938,
'spg': 0xf2c29514140d47d8ce45ad3eda582f1a,
'tpg': 0xb780d54ae3b7982b8a4024d2c22be802,
'upg': 0x452e1e9e7cef5b2ddc1c97a0410d8c2f,
'vpg': 0x88c0a91d6a486a6c2f7a474ef62f0210,
'wpg': 0x6e877975655240c048e27028b57601ea,
'xpg': 0xb35fab23faed0587217f1d1ea1aa7876,
'ypg': 0x3b4fee6ce33ce11cad9e45c135b07fb7,
'zpg': 0x4e69b22a2136603b342abebd2136c01e,
'aqg': 0xd261e39898cff0bf76eadee335ef16b4,
'bqg': 0xa20c16c5fbd6ff8eef057011bf92a336,
'cqg': 0x5efe5848ea3627bc49b73e923dfc1ee7,
'dqg': 0xe3447ff1ddcbbdb129d4c378b6c16a3e,
'eqg': 0x704fe2b592e2b68af409c5870e728786,
'fqg': 0x6268a325973cf1c640c924a8b9e00e3d,
'gqg': 0xe590b8fee5b870af30bdb1b4b11c3dca,
'hqg': 0x006b9cc00c32c5204465978fbdf012a4,
'iqg': 0x84126dfddd34e95e8ecfdadfd1519b1b,
'jqg': 0xdca7eaa995f2813cfb45a00387448921,
'kqg': 0x09c8b9246d137de71f1652f88e2dbc8b,
'lqg': 0x293755e697e7198c3a01bf740354046a,
'mqg': 0x069d0b3904e33af94a26e1f2031b7446,
'nqg': 0x2d9aaa12262ab1ba1447b02165c59cb0,
'oqg': 0xb82419a285715af6c80af32b6986a5a3,
'pqg': 0x34a74351a51e6975a38cf157c09fafa6,
'qqg': 0x03a926fb720927d09a762828c759806d,
'rqg': 0x6426c8c0d45062051d0afc7e9bc330b4,
'sqg': 0x858eb4583c5905a9fac05692b8bef890,
'tqg': 0x3cabe60fa95f2cf2b99fda9c44139938,
'uqg': 0xeb39e9083a4d7230c5cc9a6548a37b26,
'vqg': 0x5bf141d58053d72723ab72372b814975,
'wqg': 0x0abf6269259c63651a3a253afb6664dc,
'xqg': 0x01ccaa87100443802dabbece2fcff7d7,
'yqg': 0xb2730ddd48da00cafedc7a10a48dfb68,
'zqg': 0x09673872a256c81253e6a8884217a652,
'arg': 0x61dd86c2dc75c3f569ec619bd283a33f,
'brg': 0xa4c50154124e3f5d42e4ce41af928ad1,
'crg': 0x62082c0f95cdf3e2296fc0be8b90ec19,
'drg': 0x75fe57ec4a047a300cac5f27223df81a,
'erg': 0x77d9603c1228bf8ad045195418979e65,
'frg': 0xf5455cd4463c6a43e70f2fd8dc3ec51f,
'grg': 0xa5d502e66f116d4bd040613df88e074b,
'hrg': 0xa1ea7596ec0db6cc9c3a3f852aef7546,
'irg': 0x0e9028a1ffccf083b18d331127565357,
'jrg': 0xeff418c3e57a0f69afb25071a7ae9561,
'krg': 0xbe4566317e0b6b6d4776f41cae2a8580,
'lrg': 0x28eb6a46a82ac68d22727c92c031c091,
'mrg': 0x8e3926b45aff8e65eb32e4fc677c1c78,
'nrg': 0xee4782465dacd28618d4a0276383631e,
'org': 0x5a445d710ae24cd276062b0c84850838,
'prg': 0xe73d45437ff69d701ffd982bdccdaafc,
'qrg': 0xf5b7265714bd49893c9f26a1faf027ae,
'rrg': 0xdda76af2974450b722760e636225e1fd,
'srg': 0x9a26f2038425448133e800b4941e79b1,
'trg': 0x90710761341352a9e144d8ad4c92598b,
'urg': 0x3a124aa7a668398efb63ff87331dabbf,
'vrg': 0x0af873e11d5f2f1748273b7c9bc49c1a,
'wrg': 0x91e6b61ad80876a16787d0833aa6c21f,
'xrg': 0x9cd03a797df15e551b72109431460eb5,
'yrg': 0x83396e7eb60983a804a2f3f5d2d2a749,
'zrg': 0xd9bddb3f82f11496f66903e5480f2401,
'asg': 0xb30bc56bd6bc8630d7064a9321f41a9b,
'bsg': 0x6be0c5d46f46c0e756100c24a60c0490,
'csg': 0x4c4a60a5a0d5d69eed35c23714845ace,
'dsg': 0x875ae59131b055497b8a81e046edd9e1,
'esg': 0x689b168f94144e96205b84643760d3bd,
'fsg': 0x112c5ae8f078012e79117f9dc21afe1a,
'gsg': 0xf0508ffda069115565c9eda5385bfc70,
'hsg': 0x94b40c6db280230b4211b06fa04c7be1,
'isg': 0xe2c6517f142fe3a9e64e2a125e6ea602,
'jsg': 0x1ad34c03bf250fb37341ce6802f5a1ea,
'ksg': 0x39eefa3ce2ab388df5443d3e6bf79702,
'lsg': 0x08f7f5baaa0e39a3a8725483bb14ab2f,
'msg': 0x6e2baaf3b97dbeef01c0043275f9a0e7,
'nsg': 0xd58543563a18357e4d141e98c7a936f8,
'osg': 0x1d7fb1d1de5c35ff9efee40541248256,
'psg': 0x268fb4595b079e19467c8feee67a856a,
'qsg': 0xc64b5d01be10ffd660fbf5ac897ad0a9,
'rsg': 0x7133679712c570c1498a11b187933b16,
'ssg': 0x59334e721bcd3101864d09e30f5bd34b,
'tsg': 0x7ab987d5c9a0e0efc94fd1e60e6b1f40,
'usg': 0x77c3a0bc6be31167242711da28ee70d0,
'vsg': 0xbfa68fe69b48bb116180cd0f769d6c78,
'wsg': 0x86a9d6a2bc43c08405d634ccc076e818,
'xsg': 0x6aca7677b7ca637fa161107221ba7e57,
'ysg': 0x559325bd76f320a0252c01bd48844806,
'zsg': 0x0dce93c9042fa9f5abf204fbee16244a,
'atg': 0x2605b1e0c80327b35a007d6a5732d33b,
'btg': 0xcecbba5ce071e7aac9e213c975316ec4,
'ctg': 0x58eef294b54847752782276ffad32967,
'dtg': 0x64cecde47b1d157d9408f699665c1f2d,
'etg': 0x52bf29d05c95ef2eb2d2edebf9b9c547,
'ftg': 0x6999fe197694cae4073650c9541a0b1a,
'gtg': 0xbda08e5056fe7f49c0c02e90522c9697,
'htg': 0x6c4bb686763009ff4d189796f7b85c16,
'itg': 0x85dcfc03e4ef4d36b36330d0a5cb6229,
'jtg': 0x983dfe80a19ba8090ea77195c2e9512c,
'ktg': 0x5c4d2fdc550618c08abf30d896b94d8f,
'ltg': 0x0ed875b7270c3856f7af2f6638afc9ec,
'mtg': 0xd297751fdbc7530d30f5057c16df6c10,
'ntg': 0x4a375a6931428a4a1e92f2527bb7a500,
'otg': 0x4a7d3a468b8eb6ec0acb1960d4b58ed6,
'ptg': 0x1492cba0393c5b1dfc9bd880e2254001,
'qtg': 0x30d48bdae93a1f1294443c7572f5d2d1,
'rtg': 0x1da33616e19f532fca9bf8e3c095d11d,
'stg': 0xc6a5a31f3f1d9e446353e0425ab55c3e,
'ttg': 0x2bb5d5e8f29adbbfd70b5608c6e604fb,
'utg': 0x5211c21fa34f16124db112d48c8207e7,
'vtg': 0xa358f3e2a0b39222fcd5c1a7ba9483b0,
'wtg': 0xc3e234c9d6862f4addbf07f6b56f6236,
'xtg': 0xd2ad2890f5aac59f775fcfcbb88bfd59,
'ytg': 0xa5a50b7fbdbb5373732b55d5555179eb,
'ztg': 0x0ed14d85893384408cf7241cc95902e4,
'aug': 0xb7e53893bcbbe545d281227f12d5c9ee,
'bug': 0xae0e4bdad7b5f67141743366026d2ea5,
'cug': 0xc538e271b5e98687ab7dff00cf59f632,
'dug': 0xfb47e0c94af88b8e489c284f71ab3806,
'eug': 0xeaf63d6c9f5620918534f224fc6c89db,
'fug': 0x5a914febd829e2bf9174005bae0eebdb,
'gug': 0x37f70bed1c27e9492549c54fb36f2ae5,
'hug': 0xaf231c77af76002cdaec813c29a6db09,
'iug': 0xf0a823676cf167e626189307f1bb047f,
'jug': 0xb860d356d91e17ec3fb8e7eec9662fb5,
'kug': 0xb18731ee9d34eab6c644f6c152c8daae,
'lug': 0x9c07fa66f605b5c0e56339d4c9ac2045,
'mug': 0x4c032833c7118276e83ee90998ba47cf,
'nug': 0x6d20ecf2c0f318cdd6d4592f2886b122,
'oug': 0xd97b26beeabf659cad14128e44fbf5a3,
'pug': 0x714ab9fbdad5c5da1b5d34fe1a093b79,
'qug': 0x9859ace87e476c374c4e2dbb044f1d5d,
'rug': 0x717de68e813c2596d41fedd5f5733ccf,
'sug': 0x1dbc90bdaada4a0613566d32ebb2ca41,
'tug': 0xc70d71665cae2a348d1f160924fba735,
'uug': 0xecb46de09a8504b356db80136ec4ba9d,
'vug': 0xb3d872923db4a019574e8decc8abbd0f,
'wug': 0x396d2c1a2e59f673ac470066da791b14,
'xug': 0x022a1d43461281a5f300d74f4af72b45,
'yug': 0x849777ef17449dc49e137e64f56bc5b3,
'zug': 0x268ee2a832014d8fae7cc58a183b3b3d,
'avg': 0xe322d423f075b0ab2daad27011d24909,
'bvg': 0x4f074185fba7c476ec26ac7d862418fb,
'cvg': 0x684280db3f1e3894de5865e9103a066f,
'dvg': 0xb4674c4005d6c9387e90d1f4fc1a0532,
'evg': 0xcf5ba0a372773c013e91ff40d5f41904,
'fvg': 0x221a4353f6caf897caa84af5d56682c0,
'gvg': 0x12ed0d050623a6cd591ba2fe2f4cac3a,
'hvg': 0xe8f1118c50226c3ea18585c33ede1cb3,
'ivg': 0xd69583fef77818a6edf77b7e471afce1,
'jvg': 0x8cce84bc4227cbbfada6d3b9c8be6f88,
'kvg': 0xfc59175e76bc6062de4c18e36869ff97,
'lvg': 0x62e7c5d6098c4b0feedf1303a9b97d86,
'mvg': 0x30374276e4985de17bce5647dc0d0aed,
'nvg': 0x7df8d010c3c0701b305a0198c7e3f387,
'ovg': 0x9d830dcf98382a7cc4a759ac9f559b70,
'pvg': 0x26a0f64ada4ad4d3ced9b1bb5be351d3,
'qvg': 0x7062c10194f5b2c6ab1ad96c9c1114a9,
'rvg': 0x0cb236b006ea0d613bd9a307da0fb894,
'svg': 0xae8eb96df05e788ac39d88948eaf295c,
'tvg': 0xeac1a55021d5e8ff7912bfd5b96220cc,
'uvg': 0xb56eafa83c112c434caefa89ab3c0e85,
'vvg': 0x0a0d4515097a581ae5b405a3c3ee6bd3,
'wvg': 0xfba366d8e4c37de348e18a7ef6f7d46e,
'xvg': 0x250c3eea2c1530d251035eeec2a27eb8,
'yvg': 0xf25d326647847a085643e48dd0dc7494,
'zvg': 0xb34cdf54fcb4c54832e910112005e8ab,
'awg': 0x1f7074e5fa46cd127b22b17a3d2d3254,
'bwg': 0x431202c9ec16f7a4d076dd7f58e40720,
'cwg': 0x0bc1704860b446235080a1944f72534c,
'dwg': 0xc2e424d6b18145c9f53332451fc08853,
'ewg': 0x2619601604c639867c95d816a5e1a1fa,
'fwg': 0x1cb5105001ef368c5933689239efed41,
'gwg': 0x80206c71e9eeb36522629830bbe4037e,
'hwg': 0x6b1baca50d95f5efa12e7491ff16df05,
'iwg': 0x18eca83b921c26915a805b1c1a3429f6,
'jwg': 0xec1f4a047f14fa637849628d3f65d6f3,
'kwg': 0x3eb7d13b9ef60cd41f6cb108927ec038,
'lwg': 0xa49b46334dfcd0b6e7750e90a2dd5c9a,
'mwg': 0x71abdbd177f7e2033cd44aebbb6bcc61,
'nwg': 0xabe97dbb57b6944196ac7eb099a59c89,
'owg': 0x108dab2b34f07358b721cbb004f85a03,
'pwg': 0xcec4702a7d2754c74dfd3c84871089f9,
'qwg': 0x73663b701b9964e12db0b664c30b084b,
'rwg': 0xb600759443d668bef815098f4744d7b3,
'swg': 0x193721fa695368aa13c19bf919f25314,
'twg': 0x0f2f63bddbbf213bc7728bdf865e5ef1,
'uwg': 0x8f75e1a654b10bc363799d021c05da42,
'vwg': 0xb7b78909c7e1b3d34a0c0b7f9614b9af,
'wwg': 0x1a3005a0ce3853530b9e813c166d526a,
'xwg': 0xc396e7bc0fe254098c460a3b1131e3c1,
'ywg': 0x326cd85e5a075ebe49774931cf470507,
'zwg': 0x710ae677b55612f545557dd43bac0ed9,
'axg': 0x91ec71db894050bd23de979437b1eed8,
'bxg': 0x1d79b836994b7b17d35b2a1bb16a66c5,
'cxg': 0xb5d63635159071e83028f0b6a1fb82a0,
'dxg': 0x5d4ea6e196ff9c390e0aa13395f8893e,
'exg': 0x4ee72e6ddf1b70877a1b387ded518b64,
'fxg': 0xea9608934cefb22b75b1d6f5c25882bf,
'gxg': 0x5d41b8090cce51f7621d13f7676903a5,
'hxg': 0x755b3d5f2757012a135ca5728a64bcdf,
'ixg': 0xd5819f02b3749cc5a09da534df24d190,
'jxg': 0xc128719cb6a293376065410044da91f8,
'kxg': 0x5e0a3e6fd5b6c82beb20eb2829d28bf5,
'lxg': 0x93bffb5f7d5677f32abdfc196939a553,
'mxg': 0xdcd4664ba5936fbaaa1f816f8e5f0c66,
'nxg': 0x96e7f0cd5887b98213a0334d6c857aae,
'oxg': 0x974593810b21ebdb1e64f1e725215f8a,
'pxg': 0xd8c5b8d525abd2aecbd07a36674dbedc,
'qxg': 0x8f0f306f4a04974e45c849025aaa5b36,
'rxg': 0x9816ec94e05244696136a64ca47e03e6,
'sxg': 0x2eeb57acf0e38b95d333867bd18e0545,
'txg': 0xf035625a9cf091577a67252b000e2a1c,
'uxg': 0x6121123e3f4277e71dd396421c046e4a,
'vxg': 0xf620de942b36f343d7aab07362d4d450,
'wxg': 0xc439d5455e5ce69401fe8a0a6d5dc29e,
'xxg': 0x2925fbc1590ba86ee0ede3b295986346,
'yxg': 0x1fd153880e2f9d85ffcecf0b48c730fd,
'zxg': 0x0c4341657d9fd439b23a47eeb23f0b7b,
'ayg': 0x36e22f3af50423e1ebd702ec49e401b8,
'byg': 0x515eb0d0dde0363ec385560a1d0dfa64,
'cyg': 0x2bf01b2344d59f1948f61f9b0ab4bfc0,
'dyg': 0x2d899ef3040ec185252e1e1f23ca3dc6,
'eyg': 0xcf6cb2a4a87b3ec0fa976860b6800e63,
'fyg': 0xceb2b31e74322c2363f356d990f3cc95,
'gyg': 0x16621b2cc5e9e42ebbb1fe0cb1a6f866,
'hyg': 0xf8d98d3b397811f73e5869ec5e34707b,
'iyg': 0xa82a70e06b163fbf0d380d015522ce5a,
'jyg': 0x30c0d27817adccec1490576e90e88bb8,
'kyg': 0xfb9672200d25f182028fd2a0037ace3d,
'lyg': 0x6703d4089f6a0cf18915f0c397942f14,
'myg': 0x2621fafbb8b403cd1633de2e6a9cb844,
'nyg': 0xef75b72959eed0cc480ac5a2b2d567bb,
'oyg': 0x3dcd3569c22f070fc59e16ee021c52d2,
'pyg': 0x0d9f46ec43ec3762e05523560f412e5c,
'qyg': 0x8bcad6295d8d4a86ed6f6aa95f47e5c5,
'ryg': 0xccc64ba1a8ff92afe3e8b1fba854e8c2,
'syg': 0x849ade26e1b6da2ed96d00db639a0985,
'tyg': 0x1ec899a16eb648cd2d46e7d2c635329c,
'uyg': 0x5ee30e70d4d6ee42640e62d4715f8ef2,
'vyg': 0xe91f3472b7913b5080924f2207238d04,
'wyg': 0x2c2c9690f9dec26949f2364a87cb3e8f,
'xyg': 0x2617f142530229a903f6700c4a25f9c8,
'yyg': 0x5efe427a4e20b0ab12afe98c3cb50a60,
'zyg': 0xee762fad39f036ea5eb5ef9c15207c10,
'azg': 0x3d74a8a1f157a6ab42cc93bdee4feb7a,
'bzg': 0xfa308c8b606895deb312d5c279d93d5e,
'czg': 0x52a45ffe6a9232e8429f30c546f51d5c,
'dzg': 0x14ef0c11642738af1ad2680aeb036b92,
'ezg': 0x441d2d66c008670ba0ca3be142c24130,
'fzg': 0x65f0527d1f6bcf8071823e2247c7c526,
'gzg': 0xf2faf5878a46358eefa9f99ea723c193,
'hzg': 0x6d3fa4d2e0ab0ad48f85232204abb484,
'izg': 0x9b1e6a0f164ee7cdd555bdc38d4862f5,
'jzg': 0x2a479a5b02ff2617f642eb2c43481e3e,
'kzg': 0xd86a3e27acb47157ed28589eb8f4b95b,
'lzg': 0x7b5a834d39ac40a67cfb829ed11c2e4e,
'mzg': 0x1d7a33ff4aa32f2f2d615e32d3357cb4,
'nzg': 0xc8586220776b32ce73a3c8222a16c54f,
'ozg': 0x73c460d5e0d01071ec33e2f9116b18a6,
'pzg': 0x1b1036bac06e3f3eb5ab2f62d15309ae,
'qzg': 0x3f7486f450f795a291bf106d8bbb0562,
'rzg': 0x937de707e3711f476c99f57938d1ff50,
'szg': 0x8378de26fa5169e6850167b995d08474,
'tzg': 0x601fe17b35aac9d9905c8845aa609d47,
'uzg': 0xfdc8b7fbe33ce87b32772d8db5b6f574,
'vzg': 0xc3121cc6c2cbf1426d902cb1f92382f1,
'wzg': 0x4e76787934a033689628268a86453bdd,
'xzg': 0x4b109803c9c0c922d499ed40f7edb04a,
'yzg': 0x99770108cf1bd16801d5fe3bc451f6a3,
'zzg': 0xaf53fe5704672b3355271d7d14cd70ab,
'aah': 0xead0de869e27edaeb9b64983ba360ca1,
'bah': 0xc56efb94d3943fc77fef3eb949ab540d,
'cah': 0x122a2a1adf096fe4f93287f9da18f664,
'dah': 0xee88e46428656d1af9f31fbb514e7fa9,
'eah': 0x65d4851fc550d45a449e1ef6ce10458c,
'fah': 0xe15c05ebb01125dd997b1d46965ab92e,
'gah': 0xd61c03bec697d8ef464472b0d529fe5f,
'hah': 0x758ed690a5c806c2f75bc02afd6bc395,
'iah': 0x6bed4419141eb28ad4eec6adccb32495,
'jah': 0xf4741177f40a869cc57738e15f0517b6,
'kah': 0xd19e25c649a006d20d67681cecde106b,
'lah': 0xd22eecd293cb20789c88c483f60e4c27,
'mah': 0x9d7b407f0af4e9d2938904a1c7584b15,
'nah': 0xb476dd1f2e29b48fea39d7af0d307101,
'oah': 0xe18b9303ee8f0014b6611fc993d9909e,
'pah': 0xab7136ba08704e4eb4a19169e1a26695,
'qah': 0x8d8c7ac2d47df30e50ae8b5598ae53b1,
'rah': 0x1aa304151c024d2ada8c067c052e51eb,
'sah': 0x6c8063c7409deb9289f71eab7f7a1548,
'tah': 0xd1f1a0cafce848840f83feb1b0979d90,
'uah': 0x3e04933d4bdf6f65ee061d8569589d23,
'vah': 0x1644f1a571de34f6b3597bba304e7c05,
'wah': 0xd43361acaeec0c476b0e0b9000da4e99,
'xah': 0x949a62af465b9c65ec9c3e96dc57b743,
'yah': 0x08ea8248d5344d04bd5393e5e86ecffe,
'zah': 0x3918899ba89da648c35437e477c9ebd4,
'abh': 0x61d4d3b3c416faedb390a5a61d062cb5,
'bbh': 0xfc821f40bf66e6bd1cc62c43015d1a89,
'cbh': 0xeb05199c110e0c15de8e36db31c52eab,
'dbh': 0x1eb267706e34aa7423b280c24efdd775,
'ebh': 0x813cb107c938e9488a7a512afd0a3a20,
'fbh': 0xf8b4d37838b5c028ba382a17d4b76aff,
'gbh': 0xd44e7a48a82a23abf02c6efdeb0a056a,
'hbh': 0x07642703d393c3e84832897e18c4ff2c,
'ibh': 0xb8fbcfff518df04c8a0a21ea877ff684,
'jbh': 0xbdac8cd786a0e73e1796320adb9afd75,
'kbh': 0x682864a5209d100cf868166f16cf176c,
'lbh': 0x2b79cc1a7647c309c5583f70df63f8e1,
'mbh': 0x0d25550695335a47d8b247182f7e2e57,
'nbh': 0xb4777c8ebe076404209bca0e1da28fae,
'obh': 0x7e0a0d3d4ff3e08eb1e0004b88167205,
'pbh': 0x7e62af0ce89cc7a82c71b579c4de60ea,
'qbh': 0x0f64fef1dc58ef3cb921de854b2545eb,
'rbh': 0x13fde8f498e21439969d18235257c357,
'sbh': 0x5e1da5bfb9257b830ec5bc5abf551af5,
'tbh': 0xfe6dea202f96e333336eb19329c25be0,
'ubh': 0x1ec50c0e7138739324f844259c478290,
'vbh': 0x034677c2ee3423f90b1f635f285c8b41,
'wbh': 0xf317e454421a1e606a2c476ebfc534d3,
'xbh': 0x2af6160de4167071f748e4931e550e67,
'ybh': 0xb134467c9b0f1c7ac894f4337b95ea60,
'zbh': 0x9d50022744da15b6bc9970485bc70cd2,
'ach': 0xdd57dcc23a3083551edd85e13c2d5668,
'bch': 0x379541daed6f788a56f24fd11072d332,
'cch': 0x64f5e67ed2b90b1bb9084c7e755bbd7b,
'dch': 0x5292a587f72db34b6711562d587d0fc0,
'ech': 0x1148b082c87927b6cd0507ce8493136f,
'fch': 0xcf9ef824c16b95b5c6e27961d2f1d2b3,
'gch': 0xbc6c6ccb2ce1f0fc4849a2abbf0cc33d,
'hch': 0x862aed5959f6d73e0e2cb3e5ab311ff3,
'ich': 0x3cf49b0960fb2ef0ea03d0b991819630,
'jch': 0x275c216c27200496423bba70a0a871a8,
'kch': 0x289d2da3d15190cb71dbb2f72588108d,
'lch': 0x2252f7e4531c81e4e8ea2a57abda310e,
'mch': 0x040341797a19a29410123669d9ac748c,
'nch': 0x209be0a079e84a36f746d108bc6021c1,
'och': 0x7a49aafcef8b956f542016c86d67ddfd,
'pch': 0x6b6a8f43df41dfb393f929637acb124d,
'qch': 0x0aa0a57330c30d0958430e54b5bf66be,
'rch': 0xc9c0d13ba4e5563b2475736cd0366142,
'sch': 0xc340f4803161a481703d1c8bf74156ee,
'tch': 0x51611d2b16aa0fb18cb815715579f8d1,
'uch': 0xc9f39154f4de3e8cc118eed923731170,
'vch': 0xd910c45ac88695e88174d38c94afd34b,
'wch': 0x62e58b9d541aa4d67b8e5d5dedf18fdd,
'xch': 0x6edb76c0ddc3212ce118b00ed3476434,
'ych': 0xf3a8479fc706bdcaed56ca6d8d4bf613,
'zch': 0x29753f3030aa18135b78e5cfefc73765,
'adh': 0x274bbb158428878924391bf5bd10ab05,
'bdh': 0x8d1e0f3707f6ccae6baea8302a6ac6ab,
'cdh': 0x3bdb542135969379011632021d0e3232,
'ddh': 0x7e07f8d4196adc5bea35dc78dd3e3785,
'edh': 0x0dc722d13fe92f1cae987efd7afb2175,
'fdh': 0x6c7577bfb2d6dc0345f8e00aba028ccb,
'gdh': 0x57c5a9eea786cd47ee17d720420493fa,
'hdh': 0xfc15bfd3bf22181ab4447a4acd393451,
'idh': 0xb1179ffc80d13c0812f905e9c7e285da,
'jdh': 0x23814d16f9a439b500420ad35b09cced,
'kdh': 0x8e9ece3b130181b145acf786b63cd6b3,
'ldh': 0x3f5453e192e572cbc2bed32097c7aaaf,
'mdh': 0x7cea9d84ee274228c7efe8de18592df7,
'ndh': 0xc3c5accec7ed0fc3e8d0a2ef98fbd242,
'odh': 0x7e959acf3393731185379fdb6fd77ed4,
'pdh': 0xea3677a4523ac2397ee9a56bc2ee0760,
'qdh': 0x2d778abb44df769da2a65016ff65111a,
'rdh': 0x789d9fc3328e1f9e5e07b1287e0be5ba,
'sdh': 0xdb8079c8a617cc079a7eae3cdbfff10b,
'tdh': 0xfe22ca94c002d10b71041c5eff3f335c,
'udh': 0x2c30e05a05f8f49e73f6573e78a0b076,
'vdh': 0x3503725bceb54e0e03e5f520f8971201,
'wdh': 0xee66892c3f1f4a7bc6551c3de4ba1183,
'xdh': 0xecc266125c8edd0cd09261012266c141,
'ydh': 0xf2547151dc511fcfbd24ea7f1b28aeea,
'zdh': 0x7b29d141f931c694efa605125f6c82db,
'aeh': 0xcd23b36442cb7a833ce54573a63faea6,
'beh': 0x57aa4ecf9f7a86bd70bf8b743cd79558,
'ceh': 0x975e89cd02486d78cc50bb06678a5969,
'deh': 0xd750abf749618fbe4373515716ded093,
'eeh': 0x9882a9d0fcf0d0e012956e6db92c2436,
'feh': 0xab5af156e6f9b4a7b0e2ab2fd87c4563,
'geh': 0x591f849746d65341494dfa35887d20ad,
'heh': 0xfda71993dbb74d33a8d02806aafd4bba,
'ieh': 0xabb7b14ef453791c81e2efccc2883ad2,
'jeh': 0x9b0137af48408977b9db0b82225e3e8d,
'keh': 0xebf4020dfb15d76f0cdefcd19f2d7586,
'leh': 0x0382738e4320de66bd1ffb3934fbd08b,
'meh': 0x15927d9ab6ea93229b4f22a561664ec1,
'neh': 0x16dd7ce43f31815541cb321b8466fc0b,
'oeh': 0xd6b13c1c93e8a615fe964db8d549b0dd,
'peh': 0x71878d07b05cbef05de30b625a14abb2,
'qeh': 0xfd1b856cacd3906e648f086184b44fbb,
'reh': 0xc33f4cdd3a9a78f313a425b16b5644b1,
'seh': 0x16fc908f3355ab9217245207fa75f2fd,
'teh': 0x38b5a6b9dafc7fc2955561cd08fe1f77,
'ueh': 0x7b438367761a68c0019e36d7e98656e4,
'veh': 0x5816fa40a5327bdf811c5d586351557b,
'weh': 0x0f9c0c46914eb1ff5bdfa31b559ec432,
'xeh': 0x0849467b9702ebe012db187fdc793f7d,
'yeh': 0xa113bd39fd0b16165b6dcb5cf7799a15,
'zeh': 0x84581980574ee895f63d4aaf72b3e6a1,
'afh': 0x96b93113f631af312abb144481ca86db,
'bfh': 0xe205744248a93fdc597df7a9ab16bdac,
'cfh': 0xbda00947b4934dba860f4b80d3149413,
'dfh': 0x7606517b6f62538f9ad5d84832bf0930,
'efh': 0xb8f2e4910063b57a5ef53f45ef6c4e90,
'ffh': 0xaaddac84f4a4de6743d2eecfa4fdf525,
'gfh': 0x580123b1eee6b0f82540e45282730a52,
'hfh': 0x62c841059cdff4129c40cd28b770474d,
'ifh': 0x99e6a78f4cddc93769aed9426186ec38,
'jfh': 0xacfa4e5b560667c7b07b7ec0fb0b87ba,
'kfh': 0xe8b7e892d591c6e36ce67457954214c2,
'lfh': 0xd50138117f09a707f8de68dba359e7c3,
'mfh': 0xd88ac73e733a9079d66497c6f5aeb1fd,
'nfh': 0xec45ecd47fe3937b49b0e119d889b605,
'ofh': 0xa1c3f71b4bf12ffd737ba560a2e8b949,
'pfh': 0x4758be2341af78523e5758945528a098,
'qfh': 0x9942500bf7ec4450d62f18d440727bc9,
'rfh': 0x6802ac8a4e631081e593f505b8c79fac,
'sfh': 0xc0a6e06bf796d9cf53debb6b35cba992,
'tfh': 0x1c46c9d4fca45f547cefb94099815341,
'ufh': 0xe2bc73c66e0599dd4b0c297d54d9ab2b,
'vfh': 0x26f6fd87454d7f3b704418bd02c8836b,
'wfh': 0xe332c3c512c5c16f2256aa90217486bd,
'xfh': 0x41f43061da2d3e7a86fa18512cbb5bfd,
'yfh': 0xacff9906fc8b7f986050718e0e5f8788,
'zfh': 0x857af3b624ea8d6ba1537375d2737536,
'agh': 0x5de08b97cd5cd898e5af0a129df65c49,
'bgh': 0xfb1c455c60b8f24f5d9745605892434c,
'cgh': 0x203f8d7ae7d66732a01eb922e297965e,
'dgh': 0xad3321bbfbd6af8abcf0f0576a5c893f,
'egh': 0x068adb1e4c81daacc95d981a1af2510e,
'fgh': 0x0f98df87c7440c045496f705c7295344,
'ggh': 0x6fca2b0eae7d6e3b9830baad3ef9a55b,
'hgh': 0x025c1e37b069dcd4129f02c842b705af,
'igh': 0x25c39b14f5f5fb71c1e3563d0a89b452,
'jgh': 0x338a47eb5999d866c775c8a801056a37,
'kgh': 0x27f67b803086897f0aeff454a424394b,
'lgh': 0xf4b9aeafe698aeb67a5ca9ecaa6a97f6,
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'ngh': 0x0246c5ef4d3bdbe82c63c10c121bcabe,
'ogh': 0x602466be75388ea2a09e6af041b1468f,
'pgh': 0x0db0fa9dc3e5c61eb40c71d157ea9625,
'qgh': 0x1c5fcf17686cb22e607ad87f48ac9756,
'rgh': 0x90782e33e2583c9066119bfd486ee28f,
'sgh': 0xd6baa01bbdc3920d93fa8a2bbf68219b,
'tgh': 0x9f1814ab87687a05806d8d69f3769de6,
'ugh': 0x908b2c4f40d5263ce467a9de2d8c4d7d,
'vgh': 0x26bdfda515daf32afd4fe92f7dd41060,
'wgh': 0xc195e0d4125c6ccb99f2c44265d1d00f,
'xgh': 0x92f2b54f343eb6d000cb129457aa91bb,
'ygh': 0xced4d0dbf4d5540a63c042bf8ea9a129,
'zgh': 0x9e632425614686ec7845a011088f015f,
'ahh': 0xbe97edab9d08c80db8111360d744fa0a,
'bhh': 0x482957ca826bf55b7c4e58f8015c6eb9,
'chh': 0x6e1d1dd19e589f4bf3918ea55fc90192,
'dhh': 0x252c2b34268adb2c09c2cd2ab6f11ead,
'ehh': 0x2071e5eb7fd74592bcfacb3e9ecc4bd1,
'fhh': 0xb45209495e5e2540fe0a8296ea81db9d,
'ghh': 0xb4238aece7397c6651a5193c3baf4055,
'hhh': 0xa3aca2964e72000eea4c56cb341002a4,
'ihh': 0x9352d207270a2ba1176638fdd0aa6909,
'jhh': 0x34581b76f0d54626fc3d0b8404c0c2e9,
'khh': 0x2724d0f0288f1cb50bf30b912cf47507,
'lhh': 0xc3e573d20e72780bf46c5628798300a7,
'mhh': 0xa4310b1057a43a419b440e2814bbe035,
'nhh': 0x02b4bbccdf21b20d232c702a852a7943,
'ohh': 0x51618e45fbfa6459e43d27f9c9ef41aa,
'phh': 0x7fe0be02c5a57dd641102fd88c7fd27a,
'qhh': 0xd5f6603d37d53a2a851a8a11f0a8ed67,
'rhh': 0xf71e3d8eb7439eb13c9c3147e64f83a9,
'shh': 0x471c393a47486f23e6830ce8ec630aa6,
'thh': 0xd11ff37096a87757500e65473b3805b7,
'uhh': 0x023e3e11aeae9849d3cc742f73b512c2,
'vhh': 0x8d9b897f45b9f6babb9a3e48d51dcde5,
'whh': 0x1a4d73b3deeda815a6a4c2e576aa27cc,
'xhh': 0xbbd0887202dc3787f40711a86b7ba42a,
'yhh': 0x41374f08df46e39f45aa10fc07906598,
'zhh': 0xdb2b266cc418a23cfc8c261ada25d56d,
'aih': 0xf434639597f85bb9c214ee8cdcc8c162,
'bih': 0xa9094dce0908f5fd61ac760e4b51f380,
'cih': 0x77f41ee149299425a00e55edceee2ac0,
'dih': 0xf4b2751d8dbb1c1278e3850c7776bc51,
'eih': 0x3e5ef1fa9611043b19f9e10d08b4732f,
'fih': 0x2c5ebd4ff163da893e340b72c6737662,
'gih': 0x8e2f18a12d769b8b2460e7ddb64044e6,
'hih': 0x614b7df69165603557df83f9af9dc02a,
'iih': 0x6455824d6161e3dc518da0280b48925c,
'jih': 0x333fb15fef4ee36cc0a8c7665e18bed1,
'kih': 0x6b26be6b62a48a3e4c5a90fdb33ad428,
'lih': 0x65f289179be002afa0f409b7f2e16662,
'mih': 0xac6b67e417de8b381d5f6eb5d3a425c7,
'nih': 0x9e9e8c76d739212c63eff362e321ba33,
'oih': 0x25ff56e863681b9403bad747b65a22c1,
'pih': 0xdd5ca36c7853e7a189cef218689d74d9,
'qih': 0x109a6f8744356a12ae43180dd3ed8b54,
'rih': 0x58ca2861109a56ba13a1ceebe814874a,
'sih': 0x3d4113b4f0c510f7f581b1643caf3070,
'tih': 0x43532bd0ac4c48663f369c2630bee3db,
'uih': 0x4cfba0ee8d1c1ce2f2c7328481121886,
'vih': 0xf476cc904d3ad684b89e053dc8af3240,
'wih': 0x42267b2203b77055ddecf2f98c52c7ab,
'xih': 0x0dfa361fd6361b2605820b46c6d98191,
'yih': 0x69ba67011018d5171ee1d15c1a312c66,
'zih': 0x315a775acdf57634a16583176fa03117,
'ajh': 0xba71983b507dffaf86a718df1ec91d80,
'bjh': 0x5a10579d2359388c9cb067d5264d5d49,
'cjh': 0xbbceadc3c9cda4fb8ac2c18bfca795fd,
'djh': 0xa765edaff7c2015f9d9ab53d131002ae,
'ejh': 0x7fdeee680f1a134668009c582fe0642d,
'fjh': 0x444aaff69c70f0c299474a911fdb1a89,
'gjh': 0x4e3b63885a0f78a1b471d52750d0cc79,
'hjh': 0x18ef25b59079b7210a0040e48c5e5a5a,
'ijh': 0x0ae8e6b5bf2a07c3acfb1b407de0507b,
'jjh': 0xfd03abf5012ede5805f4882e0fec2b14,
'kjh': 0x0e3e0fee239d849b82b5db788ddcb8e3,
'ljh': 0x67f87c9b32834504b4ddf432055d88bd,
'mjh': 0x197aed2adc7ddebfc6c5969bc75b8641,
'njh': 0xbe5c11d2e6cfe03c3edbee4c848cddfd,
'ojh': 0x762d37780c38046fbf24aa7981135833,
'pjh': 0x23b4027deb57e71f19d38f0547c1593b,
'qjh': 0x70a0d65b568eec41edcff19a19c5a71d,
'rjh': 0x79c646e4df7be12f1fbd11d5b7767a9a,
'sjh': 0x8d99dc2ded8696dbbf87b5af45597cb5,
'tjh': 0x9d7abf1d686c3f6aed534a9fe7d94c21,
'ujh': 0xe7eeafcfd8cf400590905bd1dc472bb7,
'vjh': 0x3d3dbba071ac3049f842e0fa8e00206e,
'wjh': 0xa973b95ca7cb5b564707da9422222c35,
'xjh': 0x95cbf50f925fb343d98926a81cb92001,
'yjh': 0xf97ee432d68b314d7050665ed119cea8,
'zjh': 0x4a59b8e31b436b9c65ad235358e70f84,
'akh': 0x8cab4b3e958f712569f51a9b90c495a7,
'bkh': 0x63aed082966fec61d14e3ae2f2a4ff73,
'ckh': 0x590414e211ac8dcf1c47b1b798681ee6,
'dkh': 0x28691f7dbb41a3c33f45e70f817d6ddc,
'ekh': 0x340b254752698c55ebf3cb21507d2eeb,
'fkh': 0x2c390742dd93ea46481d2b97352b70c8,
'gkh': 0x7e163cae3f118040dec08a8a7b17863f,
'hkh': 0x1a3cc0b221b2b21da3c2dc9135379c52,
'ikh': 0xfe917a1261980668d525583b42528194,
'jkh': 0x2b2baed86b463749b373f3f576760e9e,
'kkh': 0xcd71157a5e3de1a45199be00e9d88208,
'lkh': 0x3808a4e1a81d1ca7fcec161a5ba5219f,
'mkh': 0xbf60685a880fb3a083d93de541a199bc,
'nkh': 0x7cde688e2321edbe4c491d6114b8e975,
'okh': 0x52e87051161b8ae129a0e6f053e6878f,
'pkh': 0xe65ee5192095c53604891e2477611849,
'qkh': 0x3bcf227f7bbf8a722e29c4ce7ab2e39c,
'rkh': 0xaa2104a88d200402e114f9e275dc47a0,
'skh': 0x043439ba83dd276f5fb180e99a1360f7,
'tkh': 0xcaad76e0fa34e51d06622d2e5c1b8f30,
'ukh': 0x8b900cd5f15b786c5d5b98667fd96d0d,
'vkh': 0xb9b910696fa9b552db68a6b7e4bba78d,
'wkh': 0x0a9f07122a1b7e8fb20fb8f003d44200,
'xkh': 0x2ab8961f78675d703f27422541ebb4c5,
'ykh': 0xf504a6940d4655ab14c4458dee483f04,
'zkh': 0x7a80ad5f7fa2f36ebda6866a9cfcb2fd,
'alh': 0xdbada578ffe1c637bc87d85f75a0d3b8,
'blh': 0xef6de87449b13350fbe73a35d268090b,
'clh': 0x0890489a0ed60c3d5ceb18c79eb55a7c,
'dlh': 0x806e53e80337e5dd7edc151657df961a,
'elh': 0xfed942d92e80be76702a20f9f905767c,
'flh': 0xff16eb2d1fd108de26a694afb254ed08,
'glh': 0x0dc94c8810d9de81f86e52e85fc4fb0e,
'hlh': 0xaaa4068bd7e5e20e56970438c296cc73,
'ilh': 0x49b507275774fd1c0cf12983d44a8140,
'jlh': 0x89ad71b0f53da7527c8450b291c99f21,
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'llh': 0xe95d77a22c8b0df3330ab8c4c143e5ff,
'mlh': 0xc4433b6c5759f5d575a8d747f484b832,
'nlh': 0x2d2f0b6a639ea3f6395b9c5627bb1b97,
'olh': 0x2681be5677c3c564820ef9c5beeb8052,
'plh': 0x8d5c0dd1af8dbfd69120fd4882cb3a68,
'qlh': 0x90ea912f65e5fb4cce357dff99e9b175,
'rlh': 0x62f2e1599d53b3d4b4c3e98fdac03225,
'slh': 0x603c1341f5fc3be7a7ff4a33d9eeea49,
'tlh': 0x26bd93071f841eb0d32897bf43bfff07,
'ulh': 0xd06e8bbb88a27007f99a4895766eff19,
'vlh': 0x9de3c9bf7efa9dc868904da05864c924,
'wlh': 0x49ee2ca45ab9f041da28bd02134f187c,
'xlh': 0x5ba0762f95da6709fa7dc9ba0ef9877c,
'ylh': 0x0ead81d68268e2ec6c2a559e67f8a0bd,
'zlh': 0x844b4b3df924b24ef0981db2cd4709e3,
'amh': 0xe44ab71198e40b9f396e512d2c28132e,
'bmh': 0x558e6576c2ddb2056375180a9716da52,
'cmh': 0x8491874e06f471e0dbc42cc8d662907b,
'dmh': 0x04f50bc3bf49ba62b79332901364235d,
'emh': 0xaf403384d89d34e49cfefc35fe11c356,
'fmh': 0x89ddd99aa8db1f154dac979e1b6fe5eb,
'gmh': 0xcf06ce5a29fd512937c042defd941c74,
'hmh': 0xc2a8d80346c3921053faccd823ae6ace,
'imh': 0x7bdacaf5c0aa1a2a75991f8b1f4616f4,
'jmh': 0x6c3f44f542b08208f1b09d5cb4c7feb7,
'kmh': 0xd81466c92818b3a3c1bae9e2a045d42c,
'lmh': 0x78bc33b76c96dd9b74f85db936aacc7f,
'mmh': 0xd2e2ed2a838e6946e86addf8a23fbec5,
'nmh': 0xe2e8c5105d521dc53cea85901e4ebad2,
'omh': 0x6a2aa0d47785d6d4335e2e609b342571,
'pmh': 0x8860a2a2cb5dd6107b1d51769fb9468d,
'qmh': 0xd56543a621b789b6622c6a46393c7938,
'rmh': 0x114c76194fef8812b0e2b2244f768a1c,
'smh': 0xb7c7beb23ae1688521288cdf158a9622,
'tmh': 0xc30c54df31640b94078bd6113e5e01dd,
'umh': 0x94c487f0d7d1fc908e36aa31fc449571,
'vmh': 0x792b1a2e3bcd576a5bdbfb949a3d6ae6,
'wmh': 0x1e289bc155f4a7134f6a14fd15724b8d,
'xmh': 0xff0e3a43c14335a6eddb0019c0379500,
'ymh': 0xc808fa9903693ae1149a741e86c6e6e4,
'zmh': 0x5d8af9d97a8969e5fb05e5c1caa3b499,
'anh': 0x5febda3d0ef90737a60de2fd7c6d7728,
'bnh': 0xf5d032c45bdd7d948fdeab728fb8eff6,
'cnh': 0x6acb792fabd56b43fd8c9ec92a0ee60e,
'dnh': 0x2860b80e9dc6694a3216f5a433ed24d9,
'enh': 0x21aeba8801c0b16512410a1a97ce83d8,
'fnh': 0x05aede577588642bd0aa72a8423e7cee,
'gnh': 0x6d36a53327c58e7a80f857e4e5467ac0,
'hnh': 0x810600818167f4ccdd0e1cd3d93e5e26,
'inh': 0x12bfdac9c3333cd9e4981a7e08ec2293,
'jnh': 0xd1e4e63e457d09901f138368663d1777,
'knh': 0xe6609da52243eeb0f9598fefef05c439,
'lnh': 0xb0d6fbe8a64be6c1f0bbad641e4e6a72,
'mnh': 0xac55454b54fc25f61101a987a71e1b5e,
'nnh': 0x8b7f347cb6853698c985bee6f959cdad,
'onh': 0x803cb0b9dfd50536615f82509d6fe047,
'pnh': 0x05c331e3c44174b34ec3ba520ebc5b87,
'qnh': 0xb426be06d0af6c6b5bfc46b8c92fca17,
'rnh': 0x02d0bbdd9679407514f2aa8aa206cfff,
'snh': 0xc4bf029960a4cbcf6ef65c717700ada0,
'tnh': 0x7a264280f095e4c793a66c7be19d776e,
'unh': 0xa2fffbf435405a98cec152b2a7d7f882,
'vnh': 0xbbb7530b355743c6d8cc1af2ae66cbf7,
'wnh': 0xc6e5a08f693ebd5f5ef41753309811c7,
'xnh': 0xbb217817b727254a45f634b195613f45,
'ynh': 0xb643d4146fed125180c54e79937a05f8,
'znh': 0x65b724c98ac0e8e62ca33a7dab3edde5,
'aoh': 0x844c1df443b3b35cb0072342fef3111f,
'boh': 0xa947d78ba75ca4c58625857289f2a081,
'coh': 0x01df0914b3a321d337c0ccc6f2f7f8a0,
'doh': 0x1ce67b56120a8064b3cf4f6ef39cdfb9,
'eoh': 0x38a846078e877ce49e558dd7290b45e6,
'foh': 0xfe00862f0a7e33ccdfc32ee1dc35da10,
'goh': 0x1a6e877ca6ba3aa609342fca12266a2a,
'hoh': 0xeac63e66d8c4a6f0303f00bc76d0217c,
'ioh': 0x8e86e5cac1521dc02f4cbbbc72522235,
'joh': 0x4fe84c1323098142972c90960547e8a2,
'koh': 0x9b158b2a6044a976ce5aa322fdb514bd,
'loh': 0x3ff1ea09b981d88e7c8752b329a7702e,
'moh': 0x94e510ecc1b1d7a405c0e7aa18db792b,
'noh': 0x0e96619e2594eb6a57684e02ace822d4,
'ooh': 0x00974525f785fd895c88154eada90d9d,
'poh': 0xf6adb607dd78cb98b87035773678d50e,
'qoh': 0xf694bc1d4297e94e9c2b8abf9e2e698e,
'roh': 0xbe7e16e1f31a293e6b3665a80a73c113,
'soh': 0x1739e701ccc9dbf1b485f672203fc81f,
'toh': 0xeaee0cdd2c82e89f15078ff33ca37e46,
'uoh': 0x0d104fcfd7fe3f44ca4cb89eda964cae,
'voh': 0x7286d0939c23ca016053ff71733c8995,
'woh': 0x70e85fd92527d15f8a372b561afab89e,
'xoh': 0x12070d0cf92dca1cca29b26adf43050a,
'yoh': 0x8cb84ede624a697e6dfe6cb914e16979,
'zoh': 0xc716db2f5be562f92dc352a1d4027426,
'aph': 0x140122a0ee7e0a73efaebfadca9a6faf,
'bph': 0x42da3284c02cdb4da3d64b3a79371c8f,
'cph': 0xbd34070fc21f98c144fb996eea89cc92,
'dph': 0xd4c4d571fa61bb56d77ccd20cae2f7c3,
'eph': 0xb2c4bdc9078b3e51ac0e7a7c10902112,
'fph': 0x5f9bbd47a4a35ae9eb4fd6bae2fbf95b,
'gph': 0xc6bf6e93041072f38d3f88d438cd24df,
'hph': 0xeccf049aa36d3f33af63ae3955286577,
'iph': 0xaffae3125d23ab38831134315f762c63,
'jph': 0x1b981df9d0bd7dba07a96b23e2cf18ff,
'kph': 0xcb03b3df901a54807b522f3d84a6590c,
'lph': 0x2cfe9b347ad8873a05417933b3533be1,
'mph': 0x3d5b7ead574023f9f3671d3e953d398b,
'nph': 0xf1ef7af3407e96ea02497b2009be8786,
'oph': 0x68e4dcce79c68b051874cc77d9e94889,
'pph': 0x762f943810d7f01f2b43fafe3c9aa5e4,
'qph': 0x9a59c4b2e0ebc939dad47223206ff2e1,
'rph': 0x22e413b75110d0746f6cd3ad22042e1e,
'sph': 0x5b7579069280fe8db6f7823769b1094c,
'tph': 0xccfb2e8ef4401da786e855e5b7af2e4e,
'uph': 0x40e4c4599ef36aec5ca7b292c215ddad,
'vph': 0x8664883bdfa0ee874ede8a76c7bcb383,
'wph': 0x7d8ae25ea159c454ef205a84010f38f7,
'xph': 0x0c0120c65a65b5cf6ada6d7c6cc0b1d6,
'yph': 0x55dc39e2cf2bcc2b28d6a785f08a0937,
'zph': 0x65abbc7afff08276e39f58c434482e33,
'aqh': 0x117e94bcc81739075f5f2bd6a5acfd1d,
'bqh': 0xba4d8986706d02afdc6db624e360e7d9,
'cqh': 0x599663ba66f1f1b6e1375bcdb3e75ca7,
'dqh': 0xfa6c8231604bfdc9e290d200595eb700,
'eqh': 0xdcf40148ad3b5d0889296b0a2d24877e,
'fqh': 0x0ae4ef6d69e18916de8ceefee92c7dec,
'gqh': 0x579f2b3091ca08a4447fb43702910a29,
'hqh': 0x6b79f7281f6284584fdd379bf3dc8363,
'iqh': 0xf212adf1b21e7528b1a873cdc23d4c6f,
'jqh': 0x0133298251ccd70b18ffe6c6651389ad,
'kqh': 0x74eaecfe915728488c9607f62aa66f36,
'lqh': 0x979d05dbbc73382f8f7e848d79985555,
'mqh': 0xf9f37693ce48f3e1e48e5df68e2726b7,
'nqh': 0x960ad2a50b9701c89de74cf85130546c,
'oqh': 0x7dad795bb122f3e084cf8872b873765b,
'pqh': 0x245a58ce9280f7e0d13cbb417e550be2,
'qqh': 0xb182c9af1a2b4ef368f551c0fe633075,
'rqh': 0xd4685b9f90110934249e394ee7138937,
'sqh': 0x9347f4d5c05d06412651ce4e8ea7cbb3,
'tqh': 0x57c18369678455719c28b7477e85ead0,
'uqh': 0xd6aecff17325b076090de1a5d6b2477a,
'vqh': 0x66b17e55853116b034dbc9a9523bf148,
'wqh': 0x38cdd81ce6ae7593046f6447919500dc,
'xqh': 0x7646803be98c4d5e94ad79ba5518d368,
'yqh': 0x5a92a44cb2a0c32794637a10643eaba7,
'zqh': 0x4cbb7d35dd560452ed289cf298e41c84,
'arh': 0xc5ff038434b47f4449dee97cb3baa900,
'brh': 0x12e4f0d35c81d75f52248316bd5d5d0d,
'crh': 0xf9d9cfe56411300ced3994e04a7a729c,
'drh': 0x147de4c9d38de7fc9029aafbf0cc25a1,
'erh': 0x5c9b986ead2bdbdb3215bbe131e531e5,
'frh': 0xe333f924b4d14dfba050f293b9d61b60,
'grh': 0xcf99f4b199f633886baa40500f75fde9,
'hrh': 0xbcaa6b168ea07353fa2860416b3dfb50,
'irh': 0x0514722f217dd742f6bc06215bb9ce9f,
'jrh': 0xa4c6ef9409de03d58aa1ea801e626910,
'krh': 0x5227758a6d4a794e4f4b87954abf380c,
'lrh': 0xf1d66f93667f4b9c493b978a4512c85b,
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'nrh': 0x6de3a5247984c2a9e0c809ca6f7e808a,
'orh': 0x10fad167247f51942bdc502b2363d961,
'prh': 0xf9e4c89b19e186e0000e89326fe15a26,
'qrh': 0x29669b041b5ae669675fdc68d500aba4,
'rrh': 0x7befaf35023ba9b597a93b0972582d5c,
'srh': 0xc3789c330959dc865124154b02a93efc,
'trh': 0x1dab57b7561665164a9b708fa840dc95,
'urh': 0xdc074577b0fb298ed9133bd082fc6759,
'vrh': 0x7041d78ffa51c0846c23a9c48f68aee1,
'wrh': 0xc7f656dd6ad1548c6d98a0d6bb6deba2,
'xrh': 0xe338cd0c67417153f82fc01a441290b2,
'yrh': 0x133fcae02b80e6b12eae7be29c01ac31,
'zrh': 0x3e45b06968b737b4d2353ffb142bd29e,
'ash': 0x2852f697a9f8581725c6fc6a5472a2e5,
'bsh': 0xce7150dda05541eca2bd1e063d86288e,
'csh': 0x9726bb874e2394ad6bc73e2e99f13765,
'dsh': 0x3dfdfd2a6a9d66ba20fffe622961f6e8,
'esh': 0xb90fc56efe209e3a7f0e5a12dc9829c1,
'fsh': 0x8054d354ab6822db5503bc50b974f0e5,
'gsh': 0xae9fa6d4a2de36b4477d0381b9f0b795,
'hsh': 0xe41d7fc6c2d2aa7e9346663340f5202f,
'ish': 0x8367bdb6eb9cd8725d658c93951ab371,
'jsh': 0x2ad4efe322b011d37cbe643622603a12,
'ksh': 0x2fd7cb590fc8e5de760a3a21256b5555,
'lsh': 0xb363b944fc6ffa08642125723320c915,
'msh': 0x86a7de326868fc46d5bb46f724a17792,
'nsh': 0x9f49742c156aa63b21ad6d99e9e6a5d4,
'osh': 0xdef035473078d32e173136a33dfd1e93,
'psh': 0x48aac86affc85bb9d5bece34f2e4c4e2,
'qsh': 0xea77d3542d48d60826ebfdbe3feb792b,
'rsh': 0xaca832bb14f0214a1408d252e5c7fd57,
'ssh': 0x1787d7646304c5d987cf4e64a3973dc7,
'tsh': 0xaa1aeb8da792a08776a9ce8af7fd5373,
'ush': 0x61a54294c4d6f111a526aee06ac80724,
'vsh': 0xc8aa76d00b6ecb5dd4552a72f2c2687d,
'wsh': 0x81bd443e4f5ad60bed6e00d42d8babfd,
'xsh': 0x1f63f9a9be5a0a52c442041f854f6f7e,
'ysh': 0xac58ac381d93dce7196ef3dc213db514,
'zsh': 0x01946e3fa4463c39442ff348aa36b0e8,
'ath': 0xb8c1606a1d22fd80528b7afcd82602a9,
'bth': 0xa089b2e0ae92d875fe9fa5b8b4921469,
'cth': 0xafc794b1d77f834cfe33e87f5334efc7,
'dth': 0xe66d936bd9aac82767990b1f3b5a7560,
'eth': 0x137e77028868b1b3618d08b044cb995e,
'fth': 0xb67e6749a7234b91f3873dcdc3c1c5df,
'gth': 0x0fb8a44bcf9baf3805ca4dda268a4353,
'hth': 0x6c87faa307e225e407f3b2f950bab3f4,
'ith': 0x811ed2017ce127575a960555aa6179d7,
'jth': 0xc3476ea2ed6144bb64b9d14534f34230,
'kth': 0x6b97e306b1c4e76b7aed8a373bfd7836,
'lth': 0xd41d2bacd6bdc548dcc6ccc9d566582a,
'mth': 0xf8b1336407c5b7a06f012b63ceee438b,
'nth': 0x9788dccf19b398cd01175bb0b5370f23,
'oth': 0x57265bd164f4e3bc9e1837fdd85a8552,
'pth': 0xc5bd03db591d6af7691992d8435fa8e5,
'qth': 0x964e23162fe248e4b2db8eba1c85638c,
'rth': 0x1ea820d4fa204db09dde2bdc2d2a6388,
'sth': 0x7c8db9682ee40fd2f3e5d9e71034b717,
'tth': 0x7e57a91c8c0af9682a2954ef9d9e5626,
'uth': 0x95e073003cd23a1b80270f8559a2d078,
'vth': 0x490317619660577cda9e77b8c8d3bf18,
'wth': 0x4f9985251908b2f6f1960ab16e29f101,
'xth': 0xfc6822e2c24bd5ff23de7fd225b74c6d,
'yth': 0x9cc4fa1a13aae0b359b9d57a32590c36,
'zth': 0x92591978700e345e92ada431cb3d9825,
'auh': 0xf367fae0c12c7fe305f6712cb5af7c5e,
'buh': 0x1dccbb9fba844c9a1ef8cd4f14f0caf4,
'cuh': 0xfe67976692b8f069b058e242c2c2ca96,
'duh': 0x54d79f2e6172f8441e4d464a66b9ddca,
'euh': 0xe8248056b33f0a8c23efc185ff4d734b,
'fuh': 0xa55f63cd7d062d37b0946aef72d0f1ea,
'guh': 0xed2b46093ad4e08c7eb256716ea3f18e,
'huh': 0xb71207f10d522d354a001768e21a78fe,
'iuh': 0x8b5ca9f11393f1d8534f169bcf0d18b1,
'juh': 0x0aa3d8acce2be1676561300a0d2cbcda,
'kuh': 0x2c51e77440743719e3957aa13047d336,
'luh': 0x6cd39da18ee4978d1d3aad29aa3db132,
'muh': 0x967c0823cad1084501db462dca54ac1b,
'nuh': 0x4b3292b5cb4162eb08d1e04f6f57327e,
'ouh': 0xd243adf116233e1f4752205d4fd26682,
'puh': 0x97ed9f7e455a36318c64482f21701210,
'quh': 0xe7974f10725ece2dbf05a7184cbb0c01,
'ruh': 0xc2f8c336ec1557bc912f64c7cb075b46,
'suh': 0x59ef778a74aa43312d57a832901efbbb,
'tuh': 0x3202c54fbc491b9df3d45f25c1518d8f,
'uuh': 0x15a2c79c92a353d4afa14f201d12ac7d,
'vuh': 0xd8ed52d51f762fd39a8b986bc2a866d0,
'wuh': 0x09029e5d1361b4ff0c0e9ca28c5c9943,
'xuh': 0x6594ae96d8eb1740346729fcbd3f6573,
'yuh': 0xfdf7d989f78dce231a16929862509b9b,
'zuh': 0x9b291916cf77db4392e573be6128af09,
'avh': 0x50a08b0c499c0c2a4d4ca6c770ac8c56,
'bvh': 0x67bc905a4dd7e71f8cfe850e6340608e,
'cvh': 0x5d772be8ef05b44a8000e85058b61bb6,
'dvh': 0x2a9515edd5f85fb138b4bf8314478d85,
'evh': 0x54adf6bbce21e5dcdc3851463712eab4,
'fvh': 0x6a25214bec08a22a92b4360b44b3f714,
'gvh': 0xf92461c15a2aba3860d23fcf46632053,
'hvh': 0x0d88cae1bd0003f91145b4fd842d80f0,
'ivh': 0xf3c8b7bf151eb0659fcbed422899414c,
'jvh': 0xb18bac391088957ba35e37c1c89539b8,
'kvh': 0xc2d9069eb6229996dc2edbf20a4deba3,
'lvh': 0x5261d465329ac950bcdb4918a7950234,
'mvh': 0x405b805cedf86bf8b841469f949efa9f,
'nvh': 0x11fe20d2c086d1e9bfde07891255fc03,
'ovh': 0x4a27071467ed12c01263d654baa239e7,
'pvh': 0x2963702bebf6a9d3552af4478f909f5c,
'qvh': 0xc95d1d2e2d245947dc33ca56a4663a8a,
'rvh': 0xf3c328cde8dc5ee709854969150aa5cd,
'svh': 0x8fe5013760615e31ca8622e0377c27d8,
'tvh': 0xf09023f4126fae1d6c4cb8afd05b3613,
'uvh': 0x562baa9bf604b392185b32490aba47da,
'vvh': 0x8e19ad8ae7346cc5f0c9330997d76894,
'wvh': 0x3af1a7c46a8a2df6f28ca4fba082e415,
'xvh': 0xbcaeb43a26cd0c12d6d3ab739ed964a3,
'yvh': 0x3a66e7a12aa6ee005be68cdfb155897e,
'zvh': 0xc5c2c7051acd2eb2b1fd4d1c71b6b842,
'awh': 0x6652f11958ee314b133e1e8634bbd350,
'bwh': 0x76bf75bfdd03e000e91bc8044bc95bee,
'cwh': 0xadfd5e1bf07a9a4d2800f9f1e751448b,
'dwh': 0x3be8160fe30b74ee9ca2c935eddc1392,
'ewh': 0x41e88cb8635607f58f0b3b36c118b0d4,
'fwh': 0xa6f638ad05f89fe0661e114a2f3a53cc,
'gwh': 0xecbc423a8e119c80be8eae778648aec9,
'hwh': 0xcc16e4138adb9ac5c5284e5ed869369c,
'iwh': 0x14b2cc82785d45f0f0a307a1ea13f13f,
'jwh': 0x2316ac36b7534b004211cb0b781e38d7,
'kwh': 0x91ca17e215222af3ff24b8eeb76640c7,
'lwh': 0x2424cea8861a4cfc03ea8b8df96b1e86,
'mwh': 0x125d5e932745837e5835fd9eba290b16,
'nwh': 0x81ebea57815c5d0f21af97c5fcafa769,
'owh': 0x9f1fe3a7b38625c8ed097a93255ec0fb,
'pwh': 0xe63e648b86bf06776ef964bb8a771521,
'qwh': 0x3c27ae885c59a84ae62f787229c760cf,
'rwh': 0x0831d12469d8dd4560784cbfc94702aa,
'swh': 0xd3045f458fdbd6c4d88ad5cac4e8f346,
'twh': 0xf727aea85f3329bf78c846dce7c4df70,
'uwh': 0x8d8b402d8adefc58b6fc0e5fb3c79a5a,
'vwh': 0xaaed238c55ed400b35922f202a862fea,
'wwh': 0xb71dd3aa986b71f084b95b93c69c5722,
'xwh': 0xc82e4c63baa0e63d8714b9c7a4e4daf5,
'ywh': 0xed829cdb0ca01e47382ff8ab8c875119,
'zwh': 0xa488b0d9da04239afa480e1ef8e93c97,
'axh': 0xf9db3504f8fae004d3825c7f0f550f8c,
'bxh': 0xc46d58c73641c7cb592084c8a6f98dcb,
'cxh': 0xfd5c0345ac5d7c71955cbbf481a71ca9,
'dxh': 0xbae9b58b31007e074222efeb7665e780,
'exh': 0xff6dfbf3f44039e706adcc194632fa36,
'fxh': 0x5cd10422bffb75fb30f9a7886550de0e,
'gxh': 0x9892247e27d0de1ce3fe4e9071577b38,
'hxh': 0xc41515b75c66bad3856b8ef9071a64f9,
'ixh': 0xc2f58330cded44324045ae4acffc5104,
'jxh': 0xfc6b3344cb2d684d26a350257b67c970,
'kxh': 0xa959de7d4bc5129d5d73a2fd70879c29,
'lxh': 0xf453387f13015d7894fda021ae5fef33,
'mxh': 0x3fc81126f256f5e3772471063d8fc6ec,
'nxh': 0x857acddf4bdf95480f70775a12c85d99,
'oxh': 0x68ef66e313426eeb0773c262b3a95665,
'pxh': 0xb6b21c73f1d480f088e174e02365b083,
'qxh': 0x8c1f47a82a400433b5805a98b168250d,
'rxh': 0x171ae60f1f192d85568c72a68b606472,
'sxh': 0xc7ad3e8d91bee99e49b924e34368b145,
'txh': 0x21e4f28d0741470d8b48b63379bf92a0,
'uxh': 0x9a61cf217aece077bd559271efa68375,
'vxh': 0xcd473cce3a2b66c8b2cfd00ed6276524,
'wxh': 0x806b3b64861ada53e4cfcc7df68ae821,
'xxh': 0x0c1e32a8fd904a4c2b67521bf52932a9,
'yxh': 0x8afbb09011235c09106e7cbce920072e,
'zxh': 0xce9c0ccb345e82b185f3ef5a6c8a637c,
'ayh': 0x3d703fbc04dc22caf241d0fb6d515e41,
'byh': 0x730dea8f85db63bbfd4d88d0e1e2c14f,
'cyh': 0x537ecffe5decd928dd418749ae6ff087,
'dyh': 0xb2b9325f06c24240091df567b4d905ef,
'eyh': 0x540968f2db11390931464152061265d7,
'fyh': 0xfcf9236bb1c8365d570732dca6555159,
'gyh': 0xd6f793b3106b2d35dbb8230265753f13,
'hyh': 0xcbb1125d3d7a21c3662a72b227fbfea9,
'iyh': 0x6ed5f39c76174ef6e38315511f1d590c,
'jyh': 0xfdb45f218b88e1d0595d51d1ea3788d5,
'kyh': 0xfbdaa772554739a0fbc70412064b40ca,
'lyh': 0x7e44b7f2b7a470c7a2bbb734b68dbe8b,
'myh': 0x98e3228f43cecd9ac2e2bcfb6a8c370e,
'nyh': 0x0553b569a07630a0105e8e3ab13a1031,
'oyh': 0xd433ccee8f9dab13a53e95b0b29d8969,
'pyh': 0x11d3ef6ed101bfc87d0efb25af28aa9d,
'qyh': 0x2f475120f0a6ef3cfd8f9db320212541,
'ryh': 0x05ce83d0b301b9c61f062fc18b365f91,
'syh': 0xdf3c2a17b71f08f79902e738e6b7730c,
'tyh': 0x2d40e06e48458debcaf155e1c39b437c,
'uyh': 0xecc95ca038206182aaf1ed911481ab4b,
'vyh': 0x57c86352c50b37af883a7bfe7d9321ed,
'wyh': 0xff9b29f2c15263e6b2c11344ecc05fbf,
'xyh': 0x83fe8429e5ef0b05e39da167ce19756c,
'yyh': 0xcb4245d8c5b896019d1f44c9cd72503d,
'zyh': 0x9e67a24cd2b010ec0d1ca08a5723cc23,
'azh': 0x1d754d36cf9de34e0d147a423a10b49d,
'bzh': 0x416a508f9b1f8fea3a38fc69fe223ee3,
'czh': 0x623df13aa8e8874363281b85b42e9df0,
'dzh': 0x97aba82567c5fca471b439faa30ecf6e,
'ezh': 0xa5bc951e90fd2f760c87c7e97a2325dd,
'fzh': 0x42a1387ed56a629992d454f43d8026b5,
'gzh': 0x836f71af39cfdca6ed4c60d11d2d83b3,
'hzh': 0xfc49d07911be544a10e819426734d03a,
'izh': 0x50bdcf91ba2e3d7b306cf6624c74d5c3,
'jzh': 0x90c48da51dfccb326371906040af2a0a,
'kzh': 0x7b03405999897144946412b2e49a2256,
'lzh': 0x384cd7ee396a0adbbb98f02043a97af6,
'mzh': 0xeab54c7fb6a1daabe6b845752b0b5234,
'nzh': 0x757ae4cc246432886d3b6899db32de27,
'ozh': 0xa0846adce34f82c8c1c40033e12f27c0,
'pzh': 0x8532130316b523fd1fe5fd3b1a053079,
'qzh': 0x13c0463d97142f775047754d43f577b0,
'rzh': 0x3c4b650db27253e321cd99794a78550f,
'szh': 0x6b4f2bdee6255c2072dfbfdbfb2bb966,
'tzh': 0x666b41933087767f2021d67de0977138,
'uzh': 0x8651034ed57bf646a2eb0974bbddd7fb,
'vzh': 0x1847b5282c0db140fd63f5f85beb5ff7,
'wzh': 0xa722ce2ccbd7d5a0f7e58b380e80c80d,
'xzh': 0x9d536f8cda544f78408ef56a37942c86,
'yzh': 0xae600ab8f12692f92633450066bd194b,
'zzh': 0x6b5d1372c0d805e15c5504323f93fdc9,
'aai': 0xac9724b765a0176776c0d626b5eaf306,
'bai': 0x729921aac256374161db22f2d6a1f7e9,
'cai': 0xb842f1db09ef1bfda2ae1c1f70ec57c7,
'dai': 0x9dbc4db24ab137cf03e23043880896b1,
'eai': 0xa9902131b44de36383775937a6cec999,
'fai': 0x32ad2ddd45504852223c5f8effe24d57,
'gai': 0xc8cdc5f3d46143b664d72d039b5832fc,
'hai': 0x42810cb02db3bb2cbb428af0d8b0376e,
'iai': 0x4ef54c6e3e1039021d9c5e2ca78e9bff,
'jai': 0x421493fa48fc8df84d1f5f3478cf247a,
'kai': 0xe79fb748c3c8ab532a8fcf2da53ae54d,
'lai': 0x1030f2aec488f1310f74b041529e686e,
'mai': 0x2b28587f6d880ea9fc27c6c48fe3f1eb,
'nai': 0x6239db25a09c69a001b862a5803a3fc0,
'oai': 0x2799c0402ed752227efa6794d8d917c5,
'pai': 0xd828a5b9b09b334ce76bf241ca16c4eb,
'qai': 0x096ab9857ce83d8a04a39d139c59886d,
'rai': 0xb90a40fa2006a43f6844feab08f23b7b,
'sai': 0xa29bac723ca2d59ed78a2d715e17e92f,
'tai': 0xa412ba79e6bcd018c48faf00f057c0bb,
'uai': 0x8782e0d7141b4b6e098e643b31947aa3,
'vai': 0x6825e367626d14c6580fdc500546a2b5,
'wai': 0xbf8cf0d2b28a4ab4b0791939fd292a6b,
'xai': 0x093d39a3628c89286802f7fd73461a44,
'yai': 0xb4ceae236856292de8795be81d918836,
'zai': 0x798ddb765bbf13abb3ce3ba8075a4bb4,
'abi': 0x19a9228dbbbe3b613190002e54dc3429,
'bbi': 0xa30e44047bce443acfc32c4531793263,
'cbi': 0x8078e09f5f697d41a5ccdf1404b6431b,
'dbi': 0x8509d6a372b003f05a6840c0f256e65c,
'ebi': 0xb25d2bb27f61dc776715a8e3d3b1e612,
'fbi': 0xfd38e201f27e98e53abcf62890cfa303,
'gbi': 0x9c34de93226bb8e9cabac54e8ce3237d,
'hbi': 0x6205a1d33d47374de43422ffa5af4617,
'ibi': 0xdaa2a0c4573448a80e782ff342ad0210,
'jbi': 0x215c051ba023f13ec68d0119f48a88ad,
'kbi': 0x89c5a2c5e37c92efd37bacc55ea92ac3,
'lbi': 0xde84eda56ba9ae7dde60dec23b0a5034,
'mbi': 0x3b5cf439e9798e9e87b59be9ba44c73e,
'nbi': 0x4b8bcd8f3038cf9ff3548842d9294d2c,
'obi': 0x8e248757798f5833d3d6da545cb550db,
'pbi': 0x86ed09fdaec06b4e28d4f88b409e7ab0,
'qbi': 0xb38f1046bb64aaacf67da99b66fd37b3,
'rbi': 0x09f553a1dab6bba5c23bd8e577ed13e4,
'sbi': 0xa9fd7932ec51d5daac0ddbc14bc4e642,
'tbi': 0xfa4d09504c196ca8419e14ae8979836c,
'ubi': 0x6c51b6f4f61c76b6811ca72fa7a6f896,
'vbi': 0x6af9a8ac6c0fb4aee85f0992acddb51f,
'wbi': 0xdc06b0f33c2fc68b6ede4a79ba77f74a,
'xbi': 0x3b861dff3334e17aa0b05cf2e30feb17,
'ybi': 0xef2abb0887e1bd2f813a0333a27fe72a,
'zbi': 0xc34e0e02eb881e6728224fbee2b6c96b,
'aci': 0x1d40983150ed9712d42f2495dd8686a5,
'bci': 0xc8cdc80fe3f8a20a79505b36ee9e89d4,
'cci': 0x96757ac010f762fa8fd112c6c7eb5e98,
'dci': 0x711e7569725a4db5ba86ed0d46cdf771,
'eci': 0xe150ca9b89926b05cc3d6bcc7153b1cc,
'fci': 0xeb42c769bfa0d9e082ed41e45156f7ac,
'gci': 0xa21770cc1c0b08a876d402cfdc416ae9,
'hci': 0x702818a8294e9d554acaf62faf0a4563,
'ici': 0x9ee5923fc73ded1b84ba78a17e1282bc,
'jci': 0xc360fe775245342e74a483edc97831fa,
'kci': 0x0604288fc06da0ccba006e51807c6381,
'lci': 0x674768e8c32641ed27b0f45b784cd15f,
'mci': 0x4fd21d225ad051895e74eba01ef62bb9,
'nci': 0x8bf92164bc694e54fc5581fef9d3f480,
'oci': 0xb4f90e114cbaf8d8c8840ea9a0325a31,
'pci': 0x8d829c0a8bc7030417dff221df7e44d0,
'qci': 0x4da623176c45113dcfaafad0446df57c,
'rci': 0xf6e37ff3d460f25c0395db6faec794c6,
'sci': 0xa76f2c01be007dbd8c7fdb01a4ec6115,
'tci': 0x2357303e612515d498b2e976130cb983,
'uci': 0xe208ca42644926ebb0dc4fe7167f25d7,
'vci': 0xb3f4bce375f09646afe13cb07c38d60e,
'wci': 0x8c4549fd26431149142c8ec7a66eeedf,
'xci': 0x085d195d9dbd77d30e6857b759bb4895,
'yci': 0xf2b9cfabb0db5448ea08c094c4ef2653,
'zci': 0x647a52de1f603a32857887fc7787e6d8,
'adi': 0xc46335eb267e2e1cde5b017acb4cd799,
'bdi': 0xd21d8346b6252bc79ca3a6ee8a1ca4f4,
'cdi': 0x71181486a480eb672f9f8e329a7c68af,
'ddi': 0x0848a5c782793767821e1db231bd5d07,
'edi': 0x8457dff5491b024de6b03e30b609f7e8,
'fdi': 0xf088faf32967357cedea2cc194847698,
'gdi': 0x72aae47df19ab4330bdb83110094ebab,
'hdi': 0x76b34c3fc652262fc3104d9a1cf1556a,
'idi': 0x4a75a406b5d5d3383390f561e92a24a2,
'jdi': 0xacbf94a2ca2cc3a256687952056ea537,
'kdi': 0x83fec62db73de683463e356f1f2b33cf,
'ldi': 0x81e0e6ae416537ee2105d9491a7a3ea7,
'mdi': 0xe73716f50b6a127c919198d931d06011,
'ndi': 0x8a366961a76f3165f5e1bd2e4fad4f27,
'odi': 0x95734b47c7b7d7c3be6da6d9aac3a7a1,
'pdi': 0x69a7b2d3a70235d7c3760acd211e17b5,
'qdi': 0xbe50b18b3967d140bb28f628803cc16d,
'rdi': 0xfba662cc36fc65e57623b25288b1e689,
'sdi': 0x0efffbe143d1747cea58f8c3fe1b6f9b,
'tdi': 0xa4b4507ee28be37dc1189257960eef4d,
'udi': 0x98974f9dc037b474c4f7bc3e6914a117,
'vdi': 0x53df8179b6b67a0b75abdb2abaa1fd53,
'wdi': 0x7536f19d4647b62fb8ff424dd5131c25,
'xdi': 0x00c9020588c3734f2b9ff8ff567fee5b,
'ydi': 0xe42bb79e32bfc57bdf9889f21f10d5c3,
'zdi': 0x3dd086b59554fe33c1b8f051475b4b31,
'aei': 0x81c3132c563bd55b447bdff10ddd59b8,
'bei': 0x57fe4b97a911bd674d451164ca62f8bd,
'cei': 0x3a75dc5ce20b51e88fb59a90ce32186b,
'dei': 0x93319a4441fae08309390fd2e8326002,
'eei': 0xc3b62bc44da306e32e847ee68e9767e3,
'fei': 0xa3122aabeefce724a4757528d3439dd0,
'gei': 0xd06554a84241e1cfaadc84cea0a1d43f,
'hei': 0xd5e2a2c9141206704cdace7df654ca7e,
'iei': 0xf67e9538db2a984a43125a9af69a5967,
'jei': 0xe30b0d86488fd53fbbf23eb3e4293b8f,
'kei': 0xfb6ab4c12a9baff730339f00f278bdac,
'lei': 0x688f227b9cad4edeed15f067e04d3764,
'mei': 0x57e80e4a04d61577efc6bcdee853c2c1,
'nei': 0xb630e326b8c2360e887357c2f1cfa2cd,
'oei': 0xc29521c80855a662c9b9b46a783b1a7e,
'pei': 0x9c1dd1900282a69f96c6fb420e957e08,
'qei': 0xca28eec4aa3feb4adc4698d451adec13,
'rei': 0xbea0184aac2ef216c834b3e24a88c38e,
'sei': 0xe8d275af37ce2c474cbd3e65c0bce5c8,
'tei': 0x527bba74c1cb7371e4c7d6405ebd4743,
'uei': 0xfb81f23207217963cd4133ff5fd61506,
'vei': 0x8527eff385be84416fa9409d7239030f,
'wei': 0xd69d8949e163fd84c2a5da50138df308,
'xei': 0xfa9ac3724dd7bb3371bccde4ac04a6c7,
'yei': 0xa7a01329fe60bde7941d8183d258c4bd,
'zei': 0xbd8a96276fe6e20817d3d23d0da414a1,
'afi': 0xfc2f6178abeec3a91654adc3f22419fd,
'bfi': 0x68fea9ba86f5f08d6c1804eaf3e0a5f2,
'cfi': 0xbfd036b1f54c2289831ba9dcc1f595a2,
'dfi': 0xeb835e71488a69d2230d8fe83e86eac5,
'efi': 0xa9585ee26b99b02fd19465902f2fd4d5,
'ffi': 0x4c77a7e0d203b25d1a7b2a27199fdb13,
'gfi': 0x9a3811dec624aaa1f69f52b85320c245,
'hfi': 0xfbf3cfce53dda11a9a4e46dfd6fc9034,
'ifi': 0x06cce67e6d164c6a1bbc38bad20e8edf,
'jfi': 0x7279faef031fe4e5982443d06cc640b2,
'kfi': 0xa3eb2d643047cbdfc0d5861a928d2953,
'lfi': 0x854944cf18b9103d33d229637d669816,
'mfi': 0xd3ed670ec4e8c1c9d9d8bfd0e3c50fe2,
'nfi': 0x84fb2c33ace7523546cbaab5d8570891,
'ofi': 0xd15249b2b3df63eaefab87103f869c08,
'pfi': 0x57c87d8ec1d3ea3442e6477d3c0e9fde,
'qfi': 0x086c8bd9d78dfac316facbe735f45910,
'rfi': 0xb7d877f5d22be19035dcb2f052ccfc30,
'sfi': 0xd2c29450310766ffc33172824dc45c7a,
'tfi': 0xb1af66c7d969a72cf26408b2e7033a43,
'ufi': 0x726da51afacac648bbbc74138ac48175,
'vfi': 0x0611f39a8cb3c1f359169e316ba1f4b0,
'wfi': 0xc91ca906b7d4cc2b051f883cc6ca1407,
'xfi': 0xb0d58babf37dcd22ce1787f10d317fa5,
'yfi': 0x6d6693d2af722c9b38bb629c464627eb,
'zfi': 0x3d0eb9415c9307ed6040418d13095257,
'agi': 0x370790335a0538fc3fc5a7b522b050de,
'bgi': 0xb9334c21c0fcb8f0865c7c9f62e2f4fb,
'cgi': 0x8ddeb2027a8c79b3c46510a6dcef9dda,
'dgi': 0x278a155ebdef8d41b41c9ebe911757bd,
'egi': 0x6d466a5519f78c700659bdd212001a5d,
'fgi': 0x5a646078836733591730df9e04ed296a,
'ggi': 0xc99fb474deb3b6f1d1075926223f7aaf,
'hgi': 0x8ea98a8a427ebac1e93e3f98b6e1a1f3,
'igi': 0xd256a4fae6e77af9a94682a99d4918e5,
'jgi': 0x646d6308dcab212ce84df708192d5003,
'kgi': 0x99e0ae7b365d4a5a1ad494286ee864aa,
'lgi': 0x73cca6f5e215bf207d86f431d799907b,
'mgi': 0x2d8ba2223ae0795eb813db8aa28bf0aa,
'ngi': 0xa1e5b407f811c091c02c25159cd1d4be,
'ogi': 0x4df97a2e1a8878558274b678f98b61cc,
'pgi': 0x31e4f22b0420d188eb4ce1951b45ede2,
'qgi': 0x2a514c93aad5eb3795d300f3949b3387,
'rgi': 0x43c32aefeb5480d98e5df2eead2a4297,
'sgi': 0xf3c4bf7c75c65fbd429f66c8761e6695,
'tgi': 0x0c7e7970ea479fdfaef2da470a298750,
'ugi': 0xf63387536d59c60011ea173793118500,
'vgi': 0x1804fe4a79c65ca97b996241a2ad2680,
'wgi': 0xfcec346bcfbebe663c93536763c940e8,
'xgi': 0x0fe565b4b765e6dc85f8c46f3e505f3b,
'ygi': 0x68dabf6b0bd83d3692a5acbaa9e2f468,
'zgi': 0x424a4d04e9a89c4622212dd036f6c809,
'ahi': 0xeacd5083e881f05b3ae1290c858d8760,
'bhi': 0x8a0c305b83f13c05814794a42e5888c9,
'chi': 0x1e6086b705c7161eeb93a8b249a5ca7c,
'dhi': 0x3bfb36834fe84c43fcfdbebc29b02c4f,
'ehi': 0x5648cb306de33dda04236953958bd8b4,
'fhi': 0x1a739234a387d1f54c945b5c270fc054,
'ghi': 0x826bbc5d0522f5f20a1da4b60fa8c871,
'hhi': 0xd369667754340be7efd18d3fa051da36,
'ihi': 0x48673a0322819eb31f5b57ecbc774bb8,
'jhi': 0xd64f731b01b7b8aa1b2243b1cfd4e368,
'khi': 0xc7c1872c979d3d1b8a9452e3cfd4ec36,
'lhi': 0xb019dd3ac6be3216c275d1e724da6b5f,
'mhi': 0xcb207af06f6b573ba38fd954cfe6ce87,
'nhi': 0x655432a4e858fd392bddf2a2f92c8296,
'ohi': 0x46ea0316f5eb4f3e973dd92e9422578e,
'phi': 0xcb7a24bb7528f934b841b34c3a73e0c7,
'qhi': 0xd3d245f5c06d77702ae4c81a2eb17808,
'rhi': 0x607209d12d384e4f54aa84a12efda4c2,
'shi': 0xcefd573c75ef3e8eee5ae1ffe4243497,
'thi': 0xd9aebf7d5a83db9709fe0af7b92ab73a,
'uhi': 0x4bbae42e7d9203ac79cf69fb8bb2bf90,
'vhi': 0xd637f0d67adf2d75aacba3e6a7966e07,
'whi': 0x8c4529921bbd8e113f4457181645494d,
'xhi': 0xa200ad5863378343710e6fa8999e0bb8,
'yhi': 0x40dade8f80367b6869e21350e5c6b6bd,
'zhi': 0x92710773c4d8cec418e3ee4981dc2753,
'aii': 0x0ed2385b5c7d7cc14b6dc51bfb3902b5,
'bii': 0xd2e4c4af45a3ad7091bc632c7af8dea6,
'cii': 0x97c4adc1ccaee98a4b153075a9166ae0,
'dii': 0x0469a3b6bf2f69a21a00f5924f65758e,
'eii': 0x8bebac8338a20df2b1e2243db142b540,
'fii': 0xdb81a32bd21a7c1005670908f60cc39a,
'gii': 0x2212822ab402af96c5d927c5df66be45,
'hii': 0xf057f5ccb87a310534b9dda3a69a72c4,
'iii': 0x36347412c7d30ae6fde3742bbc4f21b9,
'jii': 0x509b645430caa53aa379704df20088e8,
'kii': 0xc56580590479f830b0c6e2cd6aa1177f,
'lii': 0x31e3d43b8a5dc97bd435dd601fa2359b,
'mii': 0x65474d2d6b43e365751d03be09c0227d,
'nii': 0x428c5fcf495396df04a459e317b70ca2,
'oii': 0xbdb04c9f6f0178b951827410d98a52e7,
'pii': 0x1eae74adfc325f04a8506be8bd11c67a,
'qii': 0x215b45f639b12e96689d2cb75598d00b,
'rii': 0x926a031279be3eaddb1fa012f717e715,
'sii': 0x52257da79a438a3e730368a3c28df84c,
'tii': 0xa135eddb62f5823920f52da6ba80411c,
'uii': 0x3ff01b4f2990f1fa7f31c82fd7c6c9d6,
'vii': 0x44b7ed6c8297b6f269c8b872b0fd6266,
'wii': 0x76b9a6e56f1b628a18e6f51e38c094c8,
'xii': 0x68725afb52c6e8074890a94de7b0c2a0,
'yii': 0xb47ea11a562716ef82316c867286b8a5,
'zii': 0x88604d7381a9e9bdabdf6b53afa38fe4,
'aji': 0x8d045450ae16dc81213a75b725ee2760,
'bji': 0x87f06474031e9010461652275dc0fd8c,
'cji': 0x772773af486ddd962f7b63f008d9ddd6,
'dji': 0x4b1828e1b0684ad5dc85b1ee448f223d,
'eji': 0xa2623f94abd514b46fc15a5624ee404c,
'fji': 0x68bfa6fc93a64bf4e48b6daab883dfb4,
'gji': 0xcbe4183fa2f9ce9ac86b0843a8f2e393,
'hji': 0x76e76cf79d79649f3fb0f6cf004bd464,
'iji': 0xdeab290633293b17ed8eed3a281a7a1b,
'jji': 0x5789e453ea13dff2d5fa108e4bb7ae56,
'kji': 0xc536af635810bd807d14df814ac1b355,
'lji': 0x4c6b768384e79d1b78c10a502a35d63a,
'mji': 0x839d2f69c685976fdfc9a403d0aa9921,
'nji': 0x36919cb4d4f288601896d6b08b5f6d13,
'oji': 0x54b2aa1988fc565e35c6c8155a28d2ec,
'pji': 0x6fdb46ff4c7f85fed9875b4ed0c39a90,
'qji': 0xbff6681a8dda7e0c9e98e0ea117ea17a,
'rji': 0x7ef350b4daffbbe7551c27f2b88e1cb9,
'sji': 0xa884e048779461dd5929b9dfe8687c4b,
'tji': 0x80a653d2d445e345e024b22794c33b7a,
'uji': 0x33efc1b29076ff76df1fbe545de4c2b1,
'vji': 0xe7736fb59ae62ed9002c229ea0b5ef6f,
'wji': 0xd28b5d9e941eec64fbb832e61636212b,
'xji': 0x0ef4bb20540e2a6902194c78e94f71f6,
'yji': 0x7e001b1858f15ee045c401dc8ae5d23e,
'zji': 0x4788dfb6d4a5d478114acc78917961dc,
'aki': 0x6fd394b2f8f7e2438ca7f0a87a6db994,
'bki': 0xcb13c65789b9cab5398732315cecf957,
'cki': 0x67cc38c7f5aacb333ca0040260174d3c,
'dki': 0x8f9c31c09f8ec82c0072ba53935cbeff,
'eki': 0xdaed6ec547a88a5780ace966202b206e,
'fki': 0x5206f46de5813e12a2c368b6c09c524d,
'gki': 0x56a3e5e0e77c1260b2caeb665e95e741,
'hki': 0x480c73d2133cf3c66e53a5bdbbcf20e0,
'iki': 0x71fd94a0d995244544c153158bbbefc5,
'jki': 0x0ab5a9a7da6137c7f97f6fd74c474676,
'kki': 0xe5ae4beb453669f29d4ac3179b935aac,
'lki': 0x90a5fecad10e82f560935ff4a5ad7893,
'mki': 0x13ed8b47b3d9f8be2785e65b3ce13a70,
'nki': 0x470eae148908f52d38e0996cdd9d7f1f,
'oki': 0xe210b2d4726eb89e951f1952be84c02f,
'pki': 0xc1f201102badb1b4d3d863f525969f7e,
'qki': 0xa4a6fd1a770efe98692277ef12c9f546,
'rki': 0xfb754b679c7812f563330a9b712f8e86,
'ski': 0x51d1f7159e9bd983723dfb23cb32e354,
'tki': 0x5922024b8168a84623a86334969f69fa,
'uki': 0xc6de4541b343e324d6a57ecbc2e78503,
'vki': 0xaddd2d272f70fa4407f1fffeb66be505,
'wki': 0x5be8e1f6966971ea09adc81c5d22f5ed,
'xki': 0x7a207998dbbe73226818b4d665ef75d1,
'yki': 0x0489cbcc884351a85f3a0e52844d46c7,
'zki': 0x595791ff2fbed52698237025c41a3ca1,
'ali': 0x86318e52f5ed4801abe1d13d509443de,
'bli': 0x6fbf0c1f4974d0357a20d72ad731af71,
'cli': 0x0898b22730d57afcd394d8e4889ece4a,
'dli': 0x68c06de5bf026747e9ecdca3e054ba06,
'eli': 0x0a57258559de00695ffb0f1d46bba388,
'fli': 0xb6928a3facf4a7bd929ae9cb52e4d158,
'gli': 0xd76386550137da9d8c9bbc0f5d03c9a7,
'hli': 0xe9b37b6ed982700224c9e03edd3b8484,
'ili': 0x358c4c7750d79fd100568536318758ed,
'jli': 0xb2a3176843049962c267cb02436c36d7,
'kli': 0x4adf5a2cf985e84386f32c101252b3d0,
'lli': 0xd7a4bca96ab4988f13c4aa87d62672ed,
'mli': 0xa77cbc2e7eb2157c4c0fba6159a941ec,
'nli': 0x8609b66fc2c66a9017273e170bc3a8e1,
'oli': 0x3db9007f5acd91bf68373c0128dc0724,
'pli': 0x185b2560a6d92d6db632b2185a1242dc,
'qli': 0x8e13988fea68664503bd341418e6d7ea,
'rli': 0x6b0c6b193115532bc5739ba95eed739c,
'sli': 0x60415f6a67d52289aa2524df6f33a1c2,
'tli': 0x30bed0becdea60a2f285dca9d9f7fba4,
'uli': 0xdd55cec2ce59aca4e6647dcfbc90dc27,
'vli': 0x5222bcfa22f0f199bd9e4a3a3f26a4f8,
'wli': 0xef0b707579f27806fa4073c55e03052e,
'xli': 0xfe7297964fffc8b710203e14504e40f8,
'yli': 0x9dea42037ff08782f1269f1bacdb1af2,
'zli': 0x505a0c74cafd9bd13e80361398f49644,
'ami': 0x6c5b7de29192b42ed9cc6c7f635c92e0,
'bmi': 0x810dc6911c825b55eff684098f2beb19,
'cmi': 0xb75a7e51a4e24b030608e776a651505e,
'dmi': 0x5ae0edd7eb973e6932ca4f4896b15924,
'emi': 0x12b41c761b41698d39ef68fdd9429578,
'fmi': 0x5770f6fb915ec678183aec2c35154d46,
'gmi': 0x9ac9b51c907c1a4fea4baed7d215cfc6,
'hmi': 0x7a58f39644b5ec3890274b3f436f38a2,
'imi': 0xf34e082ec6bdde3cd47e7a59a0e5d901,
'jmi': 0x60f561a730a2efa815c57c97b96b609f,
'kmi': 0x82a26dc06f6ad9773bf914eacb02a434,
'lmi': 0x8d4ec25413262f280d2ba0fcbb77385f,
'mmi': 0x4b74d3dbdc2722a2722043105744934c,
'nmi': 0xbcc0f53fbd0c273d18435941509f4eda,
'omi': 0xa1e74e713ea360c66f5d04aa9e0df20d,
'pmi': 0x995f0d99ad310ee6ba78be2ce2e84e3f,
'qmi': 0xedba04a57d96bd03e1052f40942e4f2c,
'rmi': 0x610679d69336ef2251ed058a42c8b420,
'smi': 0xe260daddf3cf6956a87fb55188d6cb8a,
'tmi': 0x1dac77895e8f56fa1a71e7c43ef09d87,
'umi': 0xe84f942d7f93ddc14d24b930d87e3da7,
'vmi': 0x8a8e3def8ea81fcae615714c6bc48824,
'wmi': 0x2360dc7a3b0658bc85dd8e53a235b80f,
'xmi': 0x1f490aabf0793c27d57533eea199c8e6,
'ymi': 0x64b00b8da30279700cb026b3d87dc6ac,
'zmi': 0x0648fbd483dfc486f94b8afa758092bb,
'ani': 0x29d1e2357d7c14db51e885053a58ec67,
'bni': 0x5c199234210e910129d3913b58bdc9d8,
'cni': 0x299c37fb949ef6dacbe22b3a1344d1cb,
'dni': 0xd56f5e97524d5d1ad77ec197ae11dad0,
'eni': 0xe3d96c321f2a71cb81cd7d5f05f1a8d7,
'fni': 0x9a7026a8d7a891d1e209c6b346b57c25,
'gni': 0x8c7e99f2801e0c1362a7bccd5a9d9801,
'hni': 0x300dfaa09d3079dbf9af803a6ae42209,
'ini': 0x4d90362d661461e558408e982aaa49d3,
'jni': 0x9e50b36bb2497496c6398461a2082fcc,
'kni': 0x5842a8c8d94c99e8a8289e86d572ba9a,
'lni': 0x4aa3023bea2ef7a69405fa4886ef39ff,
'mni': 0x98f3021fc3f37e5d9e57a11c2a077c2e,
'nni': 0x37388f3c56188098785ddf70f5a8ab5a,
'oni': 0xcb7f4a5e75e6f7340971c99ea4587999,
'pni': 0xb92623f78d1b691a8f3ecd2ac176ceb4,
'qni': 0xb35a1807bebcf7c2ee812f5f999ca7a3,
'rni': 0x79ffa063479d037ebbfc0f27cdb795c1,
'sni': 0xf70fa2f68bb5022ed9b4cb3a951c8c7b,
'tni': 0xec151da786881e2fc8cd5f735bfab7fd,
'uni': 0xe52805d8344b67b9b3554d45f1c8958f,
'vni': 0x4765b915acd619bf7c183bb72a5ab1f5,
'wni': 0x514ea25d34f1dbfbfe55098d147eb74c,
'xni': 0x796830d94a392819345e8295b3cef08c,
'yni': 0xcb0112a76fb0e02d345b9bd71c72ab9a,
'zni': 0x30a126172f1dd4b797fe97f1edd20efb,
'aoi': 0xe3a76d600fec8fcd0095a48ca3c621e9,
'boi': 0x86a270a74dd36082d129dbc67da00c36,
'coi': 0x49f5087e716922083aeaa0ad7212a54d,
'doi': 0x44cc026eca4028b6bbec35aabc3457ec,
'eoi': 0x31e09536105c77ddc46d6336e53045cb,
'foi': 0x28e85583879c541fb15976565985e749,
'goi': 0x3fb95811188990726c43a431555f0e71,
'hoi': 0x4216455ceebbc3038bd0550c85b6a3bf,
'ioi': 0xa3ff9e07f13dbdeef40534b3d5cc8b39,
'joi': 0x21948c9d95905edba35e1fc3cbd82096,
'koi': 0xce26d78fb3de1e927f115c562d91885a,
'loi': 0x84ab36b2995bb3949db34038a2b24c64,
'moi': 0x8f8ad28dd6debff410e630ae13436709,
'noi': 0x5585e79028e8d00e7a26a68b168739bd,
'ooi': 0xa68f90e39b72bd6e5b792e6d46977eb2,
'poi': 0xd6e1c05c8a81c2ae74c7aedea5ec92c1,
'qoi': 0x5f6f0859a75c19352a287fe3b483ede5,
'roi': 0x4eb2f856e8c3c20f2a0bd9cd45197918,
'soi': 0xae4173ada576e1a595e1ef731aae977f,
'toi': 0x501446ac98afd1e291c2498bb817bbd8,
'uoi': 0xb58d770439d8da70ba9f4f81a965fe07,
'voi': 0x0106085c83556205a5aef641b6eb76a5,
'woi': 0x3d8cf6bf0f86c00fb2031bdef989bf91,
'xoi': 0x7bd00fa2b39356af0b49cee80736324a,
'yoi': 0xbc52a12b76949c90c464336a264cc5da,
'zoi': 0x8092f5690d9caaf3e1ded27491a41d7b,
'api': 0x8a5da52ed126447d359e70c05721a8aa,
'bpi': 0xb06333dc1f08be9c0e8bda010f25ad53,
'cpi': 0xfde6a520e081d136993a48ec29a302c9,
'dpi': 0xa70da940ce76c1217f03376a3ac725fc,
'epi': 0xd0f92a90d5500f1d5c4136966c5c7e63,
'fpi': 0xd366a4f75077f73b18a5d4ebdec30027,
'gpi': 0x00c9749255b322f729aaf5bf63b508cc,
'hpi': 0x7e5bc5a17a00a35f522141db08c554bf,
'ipi': 0x63b695caf8a2838abde06237ee8e3d06,
'jpi': 0x506f16ba9081bc2cf6086ddac3439f41,
'kpi': 0x56e0292e9c1c9e7a704461bb57c5dfaa,
'lpi': 0xbf14ae081392429897f85563fe9272e3,
'mpi': 0x37dc018a7f069ec130d0be0a75c32ffb,
'npi': 0x650832030e204c8edbb7399c7d5075b1,
'opi': 0x6f269e243ba53ab9d4f7ca5b2d7e02d6,
'ppi': 0x405fe60a5db14040114c0983e14cd5e2,
'qpi': 0x9e1e50bf20d8743de187108e52143ffd,
'rpi': 0x2cfe1a659338e52fcd4fc00040ef09a9,
'spi': 0x0b0760e072413088ea8460c3b4f43dbe,
'tpi': 0x215c50ca53808dab7cc59af32814024f,
'upi': 0x98db0b07bba92340ab23fdde110814c1,
'vpi': 0x8187c4eeab08731784630834f28b8f0f,
'wpi': 0x16413692829f83539f2066a07a911a6f,
'xpi': 0x8c7b7d0954cc87ad83e71fb29949882e,
'ypi': 0xd6ee472be4f5cff4613a9400f132a5a6,
'zpi': 0xd93675602a6b89c8359a6e835d9841d9,
'aqi': 0x78b21a804f24074f8103e571472556be,
'bqi': 0x4aebacafa10f434f1aadb4afe832a7f6,
'cqi': 0x8acb31d62c5055f51d2082a628dc284d,
'dqi': 0xa6fe8538fcb66962f6ecc9af23e0fd68,
'eqi': 0x5f13ff067d08c5bedcb9b4a32d78ffff,
'fqi': 0x0daf5a56c436f9a4e445ea84f148d54a,
'gqi': 0x15b61ad6c801cc688c1aebfa6d892333,
'hqi': 0x35644d2ab98193fae5fd83dd42687230,
'iqi': 0x53344e42203fa86601c3ac533c5a4117,
'jqi': 0x37fc6152ee3cc5881a825d9e7e1f9781,
'kqi': 0xe05376cb1016111d3167b81a9180cd8c,
'lqi': 0xa76453d1345d057916d9e1b6e7446b78,
'mqi': 0xaffa5eef38ab9a51cd5b49723f0b884c,
'nqi': 0x05c50f9b4a00af87d4bd68007abcc5fd,
'oqi': 0x33828a73c5113797f09401b501e62649,
'pqi': 0x187278a2d06e067ab0c9febc05a11949,
'qqi': 0x5e79a965f7db2b2a438bb9e6461d6580,
'rqi': 0xb5172d30ed329c32d9e8ef2b70fb9bf7,
'sqi': 0x2368e1a336fc6a04a7632a32645202a0,
'tqi': 0x2c3d982659aca0e60303bdb4f6d5d3b3,
'uqi': 0x9020798dc4f50096e27357153309ef99,
'vqi': 0xa8f9c8aca1f662fac3c25c01805d036b,
'wqi': 0xe54f758cd1c47b2c91379ece31ca5b59,
'xqi': 0xeaad7e83c8617a32523c3fda6ba2e59e,
'yqi': 0x5dddf3d443676b05da6a681c7e0304b2,
'zqi': 0x1970c541ecf147ae456610087b4e8585,
'ari': 0xfc292bd7df071858c2d0f955545673c1,
'bri': 0x11c5bbeea416ba0f55390e306769394d,
'cri': 0x50ee4335a5d9f930e185ae47538fecf7,
'dri': 0x7a2ccce9642fe8539673002dd6660ba2,
'eri': 0x1f5198faff59782cd71dba9588e45697,
'fri': 0xdfc47c8ef18b4689b982979d05cf4cc6,
'gri': 0xbf391b589afbf368925d0f3ab583a5a1,
'hri': 0x074f6c0c30332b90692d65099cb8469e,
'iri': 0x5753d2a2da40d04ad7f3cc7a024b6e90,
'jri': 0x00db5a9c5565e7e59b2ba3598251bdc1,
'kri': 0xee2a7d26d272d8a937a596fdd767f00e,
'lri': 0x4daa919390f2aa4d44a54c43d786474b,
'mri': 0x9249e082ed182bba345912915b180e92,
'nri': 0xf5484d1f47fba004bd87dbbc851bca98,
'ori': 0x16b1c83de8f9518e673838b2d6ea75dc,
'pri': 0xe060bb629c10e1b143614cc1e9ccdc67,
'qri': 0xc45b4ffd6b3fc00bd0ac974104cb40f6,
'rri': 0x2da4ab1728099746affa3959b9d0a2a3,
'sri': 0xd1565ebd8247bbb01472f80e24ad29b6,
'tri': 0xd2cfe69af2d64330670e08efb2c86df7,
'uri': 0x9305b73d359bd06734fee0b3638079e1,
'vri': 0xb8995f6076525ebcd7fe4aaf4c78bad6,
'wri': 0x04127a618e988feecacc1d313c5cba9d,
'xri': 0x8d319a3bc215f4b1bca0457c6b9c2370,
'yri': 0xf38811f30789bedaaa48819b22ef411d,
'zri': 0xba6fec44da12d464c9fd3d305a20629a,
'asi': 0x367f7790e1588cc53aed634c1e9df2d7,
'bsi': 0xda878e5c536f8a3892785d0fcdf3015d,
'csi': 0xa2a20311145545e816805093629f27c6,
'dsi': 0xf1a63a8aa5b5a460477e09e2899e5f55,
'esi': 0x36dbc2a12d8162070240f8d586b6726d,
'fsi': 0xe65b5feab6b8954cf18097183f51b20d,
'gsi': 0xe840a881345d74cef50e2599810a449a,
'hsi': 0x051c27178adea66097c5d78ffaa2d9bf,
'isi': 0xa7a1b335247554be6612f583e32b64cb,
'jsi': 0x22ddf10c7333a08a91f19f94d88520c8,
'ksi': 0xa14c7a85a22d7c8d2d0e35fdb2508059,
'lsi': 0xcabadeb0199406d94efe0489e7092cd7,
'msi': 0x3e4c832809293017aadea2166cd11554,
'nsi': 0xf2f8ad94aba8986f69bb005dfd216fce,
'osi': 0x6428ba22519e37754d6fe98291569fee,
'psi': 0x6115baa419ebbdc15cb267c7bec45d26,
'qsi': 0x624658668274d6c886b74d699becc0a0,
'rsi': 0xa893136449f724af7726ba78208a1c86,
'ssi': 0x3a6edf55dd5b064dc4334ef316e273b8,
'tsi': 0xd895ed90bab5a86173ead3a829e26d10,
'usi': 0x6cead52b796e528b966c2baf719f24f6,
'vsi': 0xc8e7332db70a7246df8220907e90cb44,
'wsi': 0xdc05c7c02cbcca26192bc18bc9f2053c,
'xsi': 0xd9ee1051fec2011c17190e1b8292d687,
'ysi': 0x753d538f8306078b4f6a11fe2fadcee4,
'zsi': 0x43b04cd93c14a0c5e1b222cd5823fa4d,
'ati': 0x6a5bacf3c605dd478c9c119f54d4b30b,
'bti': 0x1aa3205c253c46d8ffb5c312c6cbf891,
'cti': 0xd7f8be03349606bf44d89709b2f1d140,
'dti': 0x294068dab259d028521b171d91d07b3d,
'eti': 0x091443dd922ce3d4eac16a291d787fb0,
'fti': 0x8d80b28fa63fc17e8a45d9a9d0775736,
'gti': 0x72a81f485273eed7147e3e2e474b7341,
'hti': 0xb285ea790b502bc6512beca38cf2547a,
'iti': 0x8ca6342915ac81dd2d3eec49e2098db9,
'jti': 0x2bf94e793158c163af4594fb487b3ec0,
'kti': 0x3048bc99cc83ae6e5eccd4de296cc626,
'lti': 0xa015603ce31fb480dc7366df5987fb0b,
'mti': 0x19a04fafb5f9dd7e606920c3adacf8f0,
'nti': 0xe9c40fa9b52f773cab9ca9a23ad78bc8,
'oti': 0xebce393760a7af1863cbfbbeb9f21c5e,
'pti': 0x13ba46391ffb465d5b857d1ba728a1e6,
'qti': 0xf673131f015b9f4206967223e0ff5072,
'rti': 0x620dc68bbfc5d7654e44817a8d3b2cdf,
'sti': 0xb7aef64988587ef8b7f78424efcff23c,
'tti': 0x6a337523b132fae4b608ee0ce4964e88,
'uti': 0x4d2606237ea94965b5405c99863da39a,
'vti': 0x94991ab32e5b6cac0895e970c861fd4c,
'wti': 0x9452ef5be78f55052ce3ef9f6605ede4,
'xti': 0x87828cf78f7bb46b83d51ade159e7937,
'yti': 0x7f0b5af23c02bc3ee7ef7836c9cc8b68,
'zti': 0xa1226530c017fee8ef7d2cbb534bbc22,
'aui': 0x798450791a62b16e59bf714c34bafe63,
'bui': 0xf8cdbb97841cea138715d7636d1eb76a,
'cui': 0x0b7ce76033a6756b91f5bfb12602e20b,
'dui': 0x972890943b6cbe30175f19ee122669db,
'eui': 0x85be19eb72bb9e44d59e3c0a53e1cfaa,
'fui': 0x2460b253fb566067962c63c284d2ad74,
'gui': 0xc00425797de3c98e7b32e814b54a6ec5,
'hui': 0x917a34072663f9c8beea3b45e8f129c5,
'iui': 0x30822eb8a7af334741f6867927a8c38f,
'jui': 0xb5de674a38a691fb24d04233e8aa498b,
'kui': 0xc5bc101491b42eadfdf6f2c9edca5f23,
'lui': 0x55681f25f2b5ce8a670140d1dff04da5,
'mui': 0xb8a7902b075ede881162dab7fe71d046,
'nui': 0x07660e17b6eda6baff042606cb473aee,
'oui': 0xb2a5abfeef9e36964281a31e17b57c97,
'pui': 0x92b7b667bfeb25df7b5b00661b049d86,
'qui': 0x9d24420082d450cb81caf59e2b173279,
'rui': 0x0eb46665addf43389ae950050f787a45,
'sui': 0x58b829075beb22dd23c93125930a8d53,
'tui': 0xbb07434efc81b1abeeda712ca7f454a6,
'uui': 0x4f0db45be48dddb73d9f104c46abb760,
'vui': 0xc4f531c3970ac07ba1f678764af59cd0,
'wui': 0x5704eba81df8cbebe6ee74ed46cc3a08,
'xui': 0x7292b5df61305ae0084b86391da32cee,
'yui': 0x4eff0335928a2d0e92f38ea9bb56d72b,
'zui': 0x65047b5096d20463ba9c36796cbf7775,
'avi': 0x3fca379b3f0e322b7b7967bfcfb948ad,
'bvi': 0x93c2010ef8993a5d03803fa354931ebc,
'cvi': 0x1e17b811d0ba50cb79df7eff103f8917,
'dvi': 0xdac4eef82d8ac0acdf17f321d36b9f11,
'evi': 0x689635ad79c4a248aa87d21ad4f28422,
'fvi': 0x68fb3ec02b57019b00402799c4dd9114,
'gvi': 0x49c238ec50b39b0d15220e9cab3b7e31,
'hvi': 0xe37f3087dc1887f4d45d80d96e2fdbc5,
'ivi': 0xb52053511c4b2af9a68a0ece64d99556,
'jvi': 0x2a10d039889ad093ed13cd0cf6c94e26,
'kvi': 0x81b5529dce980275b7804a6dda2c41da,
'lvi': 0xe5f5851ac34e2edc21f4027beeab8223,
'mvi': 0x123fe882c7de5e6bdddfd289dbd2c1be,
'nvi': 0xdab23b204e6a399cad07894e430e780f,
'ovi': 0x07bc1df8c6cc6e78c6d0b970db74b5b4,
'pvi': 0x96e0c2de8af6f3574836252e72f42129,
'qvi': 0xf1e1c08eeb9ae7c7897235febfb54f5d,
'rvi': 0xe133c09b4d141a7a3055962f289e3c9b,
'svi': 0xb4d269fab8c35b49a7d29ee4a62823da,
'tvi': 0x1ffe276f95d77bc6c896525718f140d6,
'uvi': 0xeab4b6f7b30cf211a522c6f5fa1f0c93,
'vvi': 0x5b5c1a2a15c0c1e40a5ebde6b29db07a,
'wvi': 0x6271bc655838632ae38dad0dd6eb5b85,
'xvi': 0xb694306290c543aee19aaa25f7092118,
'yvi': 0x8467eac8d2297d43981fb70930ab7b36,
'zvi': 0x5f5ad4db77744a8b8181423025c52d10,
'awi': 0x44583533ffc66cfb93d75578a31cbd18,
'bwi': 0x8cbec0d6848c55e952a470b4ef5ed1d0,
'cwi': 0x46eef08c9d45e7476d36ba36742c21de,
'dwi': 0x7aa2602c588c05a93baf10128861aeb9,
'ewi': 0xa281f4a83f732f9b8243e1af18256679,
'fwi': 0xe9632a304bc1979cfb8f0f7df589e880,
'gwi': 0x496d6d75c3e2992257243073d4f6fcff,
'hwi': 0x6c02cba5240fcec1a756d6d60557a197,
'iwi': 0xd1724a059f200de59aa92cee692b65f6,
'jwi': 0x925fa5ff165ca73644f34734082d7689,
'kwi': 0x6a046a454ba96e18cec94dfc8c5d7c72,
'lwi': 0xf5e64449422b21dcf2bb7672e984e003,
'mwi': 0xc42e49ec8710d9b9d3948dd8a517baa4,
'nwi': 0xd49bb28bea753613dc8ac46800bd7d05,
'owi': 0x55e9a1b1cc2aaf0f5b7417d8098ea4b3,
'pwi': 0x10643c73b0918da6d5d0ee2492dac367,
'qwi': 0x45d9023d4d85e7c584508f63f86b353e,
'rwi': 0xef6645a6226bda56a1e223506ab9f0f5,
'swi': 0xb2bd2574138949516582144c10fa1975,
'twi': 0x82d8f6dc0ff2d8e2729a0e2d9f42de73,
'uwi': 0x6bf84e9e6fd6f545bfd293c7aed0b2c0,
'vwi': 0xd3a43a0a820eeae9f52dc495012a4130,
'wwi': 0x11608c54592648c932e33663970cbc65,
'xwi': 0x946b363debeb6bd12c5cd07909ef28b6,
'ywi': 0x99a92007c43cff7e1e2025a8c76997c3,
'zwi': 0x1cbd97a7145e2f2e13b4295957880d1c,
'axi': 0x47371091a69eef3b0acdd28479bffda6,
'bxi': 0x32593a4a760465b4cb2492df82e116e6,
'cxi': 0xcc0624956739c57d75c75ab775b8d11c,
'dxi': 0xe5a482cc060d06b60ca16fd7d0d9e564,
'exi': 0x41d839018fb193d5d4c3845539450c89,
'fxi': 0x9ee5e87b95cae8e68849f86ca5eac5f8,
'gxi': 0x598c2ec7e07070141bb4b17c5d5cc7a4,
'hxi': 0x4ddd9717d85b38bcc09d5b323b478fda,
'ixi': 0xea39ff7c7647a69d28f56e86ff287860,
'jxi': 0xa64f2dd6f32e7066226f7d9c1234f019,
'kxi': 0x555d2f268c25d2c8487e54ca7b46411c,
'lxi': 0x83fa6201020f6c80cc6e5dc01495bfcb,
'mxi': 0x9be2d8952e3f3f847a25e3570b0ef5d4,
'nxi': 0x86345bb3f7218013e63a00d5dfcc9926,
'oxi': 0xfe773767bb0ee4f4362bfa5b36e29dd3,
'pxi': 0x98781b71a9a42d8581e4267a92f24c56,
'qxi': 0xb64691da2466d7434e34913203d05fac,
'rxi': 0xe1e4b252cbd660b4e109709a96734eff,
'sxi': 0x3b5f227e77f54404747405d68a072082,
'txi': 0x00fe2b2cbdbb28f79c287557dc0dcbb5,
'uxi': 0x292d4b7c565f5aa9b4deddf14d411327,
'vxi': 0xf5547a803f17f21488fa859c3037703b,
'wxi': 0x761ba5f5c51eb687786b21d1bd092555,
'xxi': 0xcacd8e8143eb77bcd05d0b2a03c5b59c,
'yxi': 0xfc7291617f8d6671aada3117d12b4f6b,
'zxi': 0x340c9b732e1ca899ba19ba9eb0616157,
'ayi': 0xb4cd20e87f4b3b5925f27256e5979208,
'byi': 0xd342499ecbf660053b5c998c0887557e,
'cyi': 0xb54a2d31a7926f621e76a3ad9f1cc55d,
'dyi': 0x02a2836cd1e342cbfb4ae16d71484762,
'eyi': 0x640f19c73391cb111ce6de195e2dbba5,
'fyi': 0x40aacdcf79bbdaad8450dfedc310bbb9,
'gyi': 0xe33dbc09571ff0f9d52df015827289a5,
'hyi': 0x82421a9f156eff941c8c35f36aeb0d08,
'iyi': 0x4fca1a0b8f4b7450ece307912cf9419c,
'jyi': 0xa920486d20c24aa9742319e83f0802c3,
'kyi': 0x3041d0ac4f8165f3a3c971bf7769a797,
'lyi': 0x128598d2c2b89c59f4f5dfc965716e47,
'myi': 0xba76620e4b243049416975580f10a625,
'nyi': 0xcbd1697a36d2f9e592e472743ea3b0a8,
'oyi': 0xc4f854e49442a58d94dff94bfb765c58,
'pyi': 0xca02e3eeb7d0ac07c169261a9935ad92,
'qyi': 0xf9d6ed41b9b16a5ab805e065128ef8c4,
'ryi': 0xf8de728d491cfc32f1f5e0f9aba47956,
'syi': 0x4308f49ef26b1a1d9af17faef2391b1a,
'tyi': 0x87c0955323b2f8dcef9ec5113aef3873,
'uyi': 0x8ba75243b9f1d50bc752d960d5d6bd4a,
'vyi': 0x9e08edbfca38c9c71adb31511d120d67,
'wyi': 0xbb40c97567c39b77456d156084123d95,
'xyi': 0x48c13b0fb9b40fedf675459472cb1c37,
'yyi': 0xf94ce94760c0656c537845405ee9e9a2,
'zyi': 0xa3d234b6784fbdb0fa5de0863e91b5ab,
'azi': 0x630bea3b12744b776c5c14a9af61e288,
'bzi': 0x3b7341c16a0033dc4ecc48f6d4a0933e,
'czi': 0x55a99a1dc2917b12a0ccdc3492bd9fb5,
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'ogk': 0xcb0ced974477b0244cb3f8b9b0310dbf,
'pgk': 0xa2b5aea7fa54ea9b959dc534d39bf4b1,
'qgk': 0x8392df9c4e32be435d5bf739cbc772f1,
'rgk': 0x48b7096e638a2945617cdc419e213492,
'sgk': 0x4a5376cc8ffdc1baad7fe2d066bc1676,
'tgk': 0xec140fa31f634e5074f17bc3637df0cf,
'ugk': 0xb7c9d515ac378b356c7baa71e78a177a,
'vgk': 0x08910e9c0b8f18e2c2a80f0596fdcde1,
'wgk': 0x57f4a25fad16a27ec561c7c1a338b4cd,
'xgk': 0xe1526a83334d7ea9413daf9cce568149,
'ygk': 0x341ec7c555ca79999dd10912c19d4803,
'zgk': 0xa2c48553e8f3fa67c327c54f8eb4a299,
'ahk': 0x3cfec0c4f384f04f13f71d681dee173a,
'bhk': 0xbc62dbe07e6c1686f17a7b09b124ab23,
'chk': 0xacc52e0f504ecc4eabefad797879545a,
'dhk': 0x65246a8209b7cf86e92e13cbbd636459,
'ehk': 0x6bfeb41ac7062a74c4b40331506d3707,
'fhk': 0x591a6bcbf02603c5c4cbe938fda6ef6a,
'ghk': 0x0e3442d022f04f39dc2456eafe27ada2,
'hhk': 0xe8336216c3c14223ed98f9fb266c4942,
'ihk': 0xee0e3ceac89bacfe4a0aaae5addb8f1e,
'jhk': 0xadbd565f1f901d04525f6e0a35593690,
'khk': 0x581e9b5a60c3ca7c53dee0ea58123ed0,
'lhk': 0xd2a59d796a9d8584be05a259e582153b,
'mhk': 0x7dfa631c6a54ffafc880cff2fdf69958,
'nhk': 0x18cce8ec1fb2982a4e11dd6b1b3efa36,
'ohk': 0x30807916c50262f546d532f26b17871b,
'phk': 0x4df869b28407a97ece27a94c45c5aa5a,
'qhk': 0x9bffed1c9cadd251b83f904465143d9d,
'rhk': 0xa0a7b6f0984453998d85203ee7d44b7e,
'shk': 0xf6105793f7e599b6b335d1793f970613,
'thk': 0xb13f19ff0f8eea59ab5f6fe7a329aad2,
'uhk': 0xb45189cd86356fdcaf4f7d4c6e947188,
'vhk': 0x6de4659459c90eb26d7fc4e7f307055f,
'whk': 0x75a56cc662b445f46421d601cf230213,
'xhk': 0xf46dca1bb12e7bfa707c700aef72f7ae,
'yhk': 0xa3dbe1d83b6caf90701237c674e25e20,
'zhk': 0x45f624fcc83b66bb5a65c9e5e9f01c20,
'aik': 0xd180cffdb59a4e062056e1ac719524b6,
'bik': 0xc5647ca61889fed88864b582df8e678b,
'cik': 0x4efe8550d01620902f4a5b2a79985ebc,
'dik': 0xaccb2994934a6a48d542aac75a18412e,
'eik': 0x5491beba65da2b4b84ac947e8d7eb99f,
'fik': 0xa29530332290da89653790cac7b5f9c8,
'gik': 0x3092af5adf8645a2c0a5d8217c780e2c,
'hik': 0x7f3d45f1af3cac4542349df9e25319ff,
'iik': 0x12f3f9d54a417eddf55c4d5d9f8f2c10,
'jik': 0x49d46ecf58aa33473aff0feedc5a086c,
'kik': 0xe8c5e741752e97483a3cc987f95f910e,
'lik': 0xd2c2b83008dce38013577ef83a101a1b,
'mik': 0x0a845f99b6a57591e9314a5950d31882,
'nik': 0xf64609172efea86a5a6fbae12ab86d33,
'oik': 0xafcfbeab0f0ccd1be81a31ef6993764e,
'pik': 0xdd0541a25a51efc0399fb4fefe396d18,
'qik': 0x558b259b8b96e94e9a2a22d933a197b4,
'rik': 0x496b7e6d1d1eb11c52e5e01947b22b96,
'sik': 0x5f6fdee7ecad4a9eb4e75923a814b7eb,
'tik': 0xa54eba296e7f21fabd54923d9dcbd101,
'uik': 0xfafef8704602048b46065112f96629a2,
'vik': 0x946cc85484c4dd01e2f44fbc88afbc93,
'wik': 0x9888f7833559859dd3ea4cbf253e9470,
'xik': 0xcbe2b4d1c0ae31cb6d27973860e828b4,
'yik': 0xe9f5b3011e5171482ac9003bbb85af70,
'zik': 0x8278a81f880d97b5b6855aa875d23a64,
'ajk': 0xfc361d3bba85e9ffed9c8f476f95846b,
'bjk': 0xae47b8966b1c03100f7cd3b02b8059ca,
'cjk': 0x25b7ade9bb42ba5854528c4a9a9a801a,
'djk': 0x78cd9cc384fbde3ac87db38749c2df51,
'ejk': 0x84024fa52e159efdc36fe09b850d39ed,
'fjk': 0x2e56d129c0d2111e998c698c254ccb4b,
'gjk': 0x4a06c136ccd30f57c52d718f8dbe8534,
'hjk': 0x93f903b0425b684cf8bdbee4951883ed,
'ijk': 0xf6f5478b91ae19f3a736a4caaba879d9,
'jjk': 0xc50c0fca46eb62427a47508a73f01b18,
'kjk': 0xb4b27c9132d1fca14442ceae495a224a,
'ljk': 0xc9c113823eec2aeca2c652adbf99a19a,
'mjk': 0xfc667f7e448522c15e9ea3c0d751dbf4,
'njk': 0x9615070a4260b2bed9abfb7786cb2047,
'ojk': 0x3cadc33a661837636d5da050c7154f83,
'pjk': 0x6de5540ff54024303e76e03193661ac2,
'qjk': 0x7a70406c091c1b4221d6c462d01146bc,
'rjk': 0x3075a3efa187ee9f36cd2de217bb33eb,
'sjk': 0x25e5baf14f7abb5996683ac4efe24c6c,
'tjk': 0xc0a64fa8049e917fc53f07b52fecba41,
'ujk': 0x26f5a144a4db2e905abfe1e8401c039d,
'vjk': 0xbbc7db8e7eff8a81b619e86899d8ae19,
'wjk': 0x81598d756b1a0271e52b15575c52ad31,
'xjk': 0xcca7644eeded27575a816c0eb73ef335,
'yjk': 0xed1a6ba3334290b8e1dfb35b556a5ab2,
'zjk': 0x4545da7e6e43d37e0dd3a9ecf5d08139,
'akk': 0xb610295fea526d7c32a5ab82d74a9063,
'bkk': 0x8d8a02fe57e544106d82b411ca6ccb1b,
'ckk': 0x2e48ec45eb9e358d6391702a165770e1,
'dkk': 0x71af0af38531f868e995152be980181e,
'ekk': 0xd9ba664502d31ea7ff771372f853e037,
'fkk': 0x387ed98407444858ccd660657ea5e86c,
'gkk': 0x29a2363fc1ab737aa94e65aec4e0c475,
'hkk': 0x238fb72d706c6c807fbae1ac72d31d31,
'ikk': 0xb5fca0b63c6347b443180b87696bf5be,
'jkk': 0x1f9454fcad113226a65f78c26071235b,
'kkk': 0xcb42e130d1471239a27fca6228094f0e,
'lkk': 0x30b3db3e65c341b847430e0b88823c1b,
'mkk': 0x7eedb15d71f49962208f4bd9200b7c12,
'nkk': 0x394bb1b52bef52c2c10bfe2f37f8f638,
'okk': 0xd4faa918003c0a68906e88e97486b0ad,
'pkk': 0x59164fab9d03cc63b28f409d928022a0,
'qkk': 0x8983735824a972cefb922b6df0084fbf,
'rkk': 0x50b6e59475b23c83401dba5748973c2d,
'skk': 0x75035f902949b9811e26e8a6c829e9e1,
'tkk': 0xd01e2dd24f3d61e140a6be713b8d876e,
'ukk': 0x7ef132c5e032df8e1187edcac9ce4ebc,
'vkk': 0x1bd13e516414a1f3cbdbc77d2b44ad13,
'wkk': 0x529c8203e21df6b9155001a355cc4fd9,
'xkk': 0x7ce60b13720a34d31d141444b1680393,
'ykk': 0xf90ec6f0d663df4d47b5b3c033105a21,
'zkk': 0x40b79e07eea8e80f6ac49de07e531a13,
'alk': 0xe3e371601bc605814fb0dd1431d966a4,
'blk': 0x9a5ac02c8bf2cc77102a0bd686e2c0a2,
'clk': 0x0a3bc2148686f2b562665c3891507e35,
'dlk': 0xb41b156963943db4606cf3f9ec769668,
'elk': 0xe61dcbf52511a408f91fae3f34aefb91,
'flk': 0x5e1a9c6123108cabd8ff5dbb2b425f6f,
'glk': 0x35fcb83d6c94f0b2b5dc6f7062d18771,
'hlk': 0xff03595584bae58c270d5c41f3ad6ee3,
'ilk': 0x7cda3b3d1627ed9fd078d1fc2f1f23fa,
'jlk': 0xa2bf84aad6c3f75024931d9459b2a2d5,
'klk': 0x1e7ace57c5496b36e00720a9d9a4e639,
'llk': 0x9cac7f43e264788f4f6c847430e64270,
'mlk': 0x8d55cc5497f203ce9814caeeb42dbeff,
'nlk': 0x9870eb552efd1429deb74044f127b0c5,
'olk': 0x3ac99b9ceff3a998afb01c0ddc29b8dc,
'plk': 0xb5cc4dec2284d8ea3fb1d1393707a85b,
'qlk': 0xd494a4f26945258cd6710eac7d6f6df8,
'rlk': 0xb9d0d1321b6fa5bb95a472ca1b59ae05,
'slk': 0x33c14a7f68709f556eb5900555f065b5,
'tlk': 0x4693d86cb83fafc74fbed1b08fc95782,
'ulk': 0xa97421de439218df06b7ebfbd0681265,
'vlk': 0x65383858b763d26238ae7e3e8ef72df8,
'wlk': 0xde289aa1b5bdd0ecb8fc2af3fbdc94fc,
'xlk': 0x17737fd5a2a8a6780ca7746946364719,
'ylk': 0xe0c48940ec67ca9ba458d54a48e7a8ec,
'zlk': 0x5463d9b53b9f469ee180fbe607921a9d,
'amk': 0xd54991b071f6d87c1d965ca265a3a479,
'bmk': 0x890ce1120339f2efd3286b3c9e505489,
'cmk': 0x71158c8195fe350103e92cd653758b2d,
'dmk': 0x26fdb6eafd356c3e4ae0303f5f39e431,
'emk': 0x4843c5aca9f9318253aad325886d397a,
'fmk': 0x5e7557302c7b9c5c5a8bfd82866af15d,
'gmk': 0xd2d037e03ca41ebb9cf415989165470f,
'hmk': 0xb16ec666021790f6b0a6b8911ab09ab4,
'imk': 0x94abbbd8a409d514230b0a793b0f4598,
'jmk': 0x97a014d83734a882f281730807a2c0e2,
'kmk': 0xa9fdc3cdd3359d4bd78c8fff020d2860,
'lmk': 0x2705b305fd867472621e686230a59bf3,
'mmk': 0x3eabaa157b2699930e7ef651cf9e396b,
'nmk': 0x17a9f1951dd035ff768b526ec1fc46a1,
'omk': 0x3d750a9d454399877850152fabc1df75,
'pmk': 0x20f1fb47941e57947c089997d204e0e0,
'qmk': 0x3eea0c504d1a3027bf4cd805790886ad,
'rmk': 0xd6f818942ce1f0d073691c0730621d18,
'smk': 0x3e671ea34dcac32e7e9e7c67ee8cfc0b,
'tmk': 0xfab7b3d7eda3f53796f20142620908d6,
'umk': 0x4d6775fe11a8c85d4aba4572f8cc6b9c,
'vmk': 0x433c9c5b91285dbc8bcf5132241c847b,
'wmk': 0x12db7d6dff6f34ba5d6e7cf3d6e8be73,
'xmk': 0x0aabda16cf40f775fe6a2959a9846819,
'ymk': 0x86a4c8b18168906e7579860480aa380f,
'zmk': 0x54c598d239f448be4bbeebb2b1ab24f7,
'ank': 0x8130465b8ce6e291ed5e85e5b5a97259,
'bnk': 0x2888db4080d8218addcb46e7baa888e5,
'cnk': 0xf42e2a125e8e456368010492857db33b,
'dnk': 0x8381363cab61eb967e4bb45a8d44b7e0,
'enk': 0x8fd98c61181e24874532ecfb2807b3ee,
'fnk': 0x1d87a6ee524c27797fed928639d91f8e,
'gnk': 0x70ecd010452224a92bcf6c9503d8c313,
'hnk': 0x08f72ce1fb8233aa0a79e446dab692ed,
'ink': 0x0a16bc32f55683128983f223de242942,
'jnk': 0xba232614f1c9b9ee0e185c7f671cdcb5,
'knk': 0x12eaffdeb4247101d11b028e00334ecc,
'lnk': 0x87214b3094627e1b9750d464a8a81bd4,
'mnk': 0x38b0ec3296b220bcb0d213e96c23d658,
'nnk': 0xf14488ef120052993e4ac4ab47720642,
'onk': 0x703cfdaf0cd039facefa6026c8d1c2c3,
'pnk': 0xeb265da5429e8ffb129a2ae27192de4e,
'qnk': 0x81d0df685f60b315d2a53c8c451ac672,
'rnk': 0xb27936eae85ab5c2c89baf08b0bfd296,
'snk': 0x0e10d2a4dfce0c27f7361de2544c289e,
'tnk': 0x5c383049a9f5d2b2537425bc8941088a,
'unk': 0x5108c2162963c0091d28956c37fe60d1,
'vnk': 0x57588f711294780b47a298d169feac18,
'wnk': 0xe5eca8d8d1ba4f2ffb3b45ede2ecbf35,
'xnk': 0x50ab72cde6268372eeb07930840faf3d,
'ynk': 0x67e17e81c7555f78852d5027d18ccdee,
'znk': 0x684ba74e74513fee7832566b010c89d8,
'aok': 0x23bac41350be17d854d99df0e09dab31,
'bok': 0x3bec65f6f8000fd631db1300fd420986,
'cok': 0x595aa739fc58403c7c62cc2840d0b7fb,
'dok': 0xed4c137a17b08b2f62b044ffbc078c7e,
'eok': 0xf1d4e72663d3318e7011e5c8932fa9e0,
'fok': 0x65ca5259e6b6142a40d6b2a4dc4aae90,
'gok': 0x9bc27fab7eb5a9be7f564d48473e6769,
'hok': 0xa8288069334801ac61a69131563c7169,
'iok': 0x99d4a78151eb5171a01141cc0aa59ccb,
'jok': 0x4ad44a676546464b2c4b8c9e4529bdf0,
'kok': 0x6ab7ec99b6aa105aeab1acde2019b125,
'lok': 0xf19852e51c1ab671bfd8b9f4a9dc92f9,
'mok': 0xc2d9a2f40369d00d479f573eaa305ce3,
'nok': 0x3ea73b209bb0a90cf6d32619e3ae8fea,
'ook': 0xb615c4b79a1aede83b9ae67104ff4eb5,
'pok': 0xf8013d22cc0ebffec2676c634ddeb4b7,
'qok': 0x7dd0d147fe2c0cf151988bacc1a5c44b,
'rok': 0x12e8fd34a5f5e3b6a21a6610e7c986dc,
'sok': 0x85cc80d763e8f0fe9b36f4c0875c6f8f,
'tok': 0x60ae136e5d49fbdf037fab5f1d805634,
'uok': 0x1b130f0117e833f4547e668e6047cb45,
'vok': 0x96a752ab58e6a44badcdfc33ae8acb0a,
'wok': 0x03486f1a64f37c912295f2073a3d914b,
'xok': 0x835d8fb58a3d7b979aba99a24af44dc0,
'yok': 0x87bb79197626da0c3af8c6755d320e26,
'zok': 0xb6f6527d24031aa306b18d00098a8ab0,
'apk': 0x44b7d352026ef7177875a6cb619d638f,
'bpk': 0x93b4c1909138f8cdb1c3ccfb408ded05,
'cpk': 0xd124cf5b3d7d6f074dedc3b4473ab10b,
'dpk': 0xcd65c14dcb1533b968ca6d6cb45c329f,
'epk': 0xc636fbe76be283becf92a8669e6392a8,
'fpk': 0x406f59e6acfa9f4d19b822ccbcf674d6,
'gpk': 0x847becc53cb7509adb60b6dee42865b0,
'hpk': 0xded887bb83d76775df79d2334e0d8479,
'ipk': 0x532425c602bdcf7e16fe13da429270e0,
'jpk': 0xa0aee25462dcd3db7ecef86e902d9b3c,
'kpk': 0x6b4fdd727a454edaf74f75728fc93be0,
'lpk': 0x0df185985b0f2fae4809b5cc523b1405,
'mpk': 0x9ee8ed09d9c77dbc444414b1c6793747,
'npk': 0xc163ce4f0b3b4040516bf8615ffff96b,
'opk': 0x27e97bd8923daa3964a3dc892e013882,
'ppk': 0x3bb3f4dbc050a34d9c401067d396db13,
'qpk': 0xb2179081813521e25a8418c8186ba8ce,
'rpk': 0x8f54e0cd23bb26110eea6a34d6c613b6,
'spk': 0x72b318ad486f8fd865a73d87f3adae1c,
'tpk': 0xe3db7f83a8ca8433ac2aaa7f3f6b148b,
'upk': 0x0255ad43dbf87a6c01bc2cfbe422f4af,
'vpk': 0xd838a1dd38b4e3cbda38817154a47e07,
'wpk': 0x5de9d8e58a2119cb0d46965a5c365167,
'xpk': 0x49ac8fad6b1d4f44fa24b54275f8aa8f,
'ypk': 0x9be4341156ae894698e510efd362ac3d,
'zpk': 0x5b61099175ddfb5228c53aaeb5a2c291,
'aqk': 0x22b2a9d5a76d28d033a330ccaac0fc8f,
'bqk': 0x968caf106615622e59a7d3fb8f672dc8,
'cqk': 0x05fa54652de90c9ff4f6d130945a46e0,
'dqk': 0x30f59d738f1bd3328a7ed0178c6b1b78,
'eqk': 0xfb3bd40e7e1783df8f5460c850aaa55e,
'fqk': 0xab664285e2b9cd47a1cec9b5ef9d4afa,
'gqk': 0x25b8ff17956588f041c849b19e6d9a8a,
'hqk': 0xeb1c54ff54611660ce8261ef62a39c55,
'iqk': 0xd803e8bb8b8997c3189f76e677321b33,
'jqk': 0x7f8923aad847bf196ebdb8bd2a88f2a7,
'kqk': 0xa2f9155150b185c2b131ef46d0ed6290,
'lqk': 0x6eef7b402e85ab2eabe1ee5d17161dd8,
'mqk': 0x00c725cf8b9fb6f3e9d7849d7c8296ff,
'nqk': 0xfbe9c249e317bac07a37163fcea6d636,
'oqk': 0x303208c182945b916dab39212ce3ee53,
'pqk': 0xec916f4d6e225aa42be50687f1e97b43,
'qqk': 0xcae717a661d7f58902445454b1f71dfd,
'rqk': 0xbd0c614cf6612d570ea7f07c23a19ac4,
'sqk': 0xbc7b85fa0729caee088b23d9bfc18c10,
'tqk': 0xbe0fc411c48d4ecc80a279a4cc625d71,
'uqk': 0x6017b22dee59d8fae2cbfc9ae0fa3001,
'vqk': 0x43884da7b80a2e3392c250c80d99a278,
'wqk': 0xf24b538e7aa64fd381a769bc757317af,
'xqk': 0x54b954b45a3fd7cb172a7585a0fd6f0e,
'yqk': 0x100668a458632c51cd9ee789ced06d58,
'zqk': 0x1442aa3bce1164b3f590c761d3a5a612,
'ark': 0x0d8b93021ea26187591091f3ea26779c,
'brk': 0x986ae684aad2ffd0bb7257deda7882bf,
'crk': 0x18c23d14c7a96e6c2780033f1f12f4b2,
'drk': 0xfa597d2dd559ca9ab9bcccd53a331062,
'erk': 0xde3f3fb1b723886cbca86ec7f54ff7e1,
'frk': 0x8fd199ad7632296c9b475017af696147,
'grk': 0x289762bc08f98e1b1c1521e6a49121d0,
'hrk': 0x59747f5564a5470b3a191f67ca469301,
'irk': 0x41a1c98a932149c5a11e8f8440b5a912,
'jrk': 0x47d9dbdeb4730f067d629b26f7780f39,
'krk': 0xc90c6a0c3862adae4ccc0d874e2cb571,
'lrk': 0xdf6b6bd46a89fc0bf8aa9b6e2a6158f4,
'mrk': 0xdfaa36cca2e5150d63789b4b2e54b285,
'nrk': 0x3b5dd10ce8aa7a4122af052d885c815e,
'ork': 0xd1dc2d1ec5e32ada1fd8de859ccbaa6e,
'prk': 0xa20c0d8fcaa9d371edcfbf2269519399,
'qrk': 0x37541df52ff1fb310df35a0ec7c84306,
'rrk': 0x4442a0ee608fc6058f89112f5209ce82,
'srk': 0xd4b573b3e2275ea535fcc9310ea6b0a3,
'trk': 0xa859cb0544a77c8802d6e610b2abf648,
'urk': 0xb0d6f308291ce45a46deb03f9c59a01c,
'vrk': 0x09e0a7db5133a0faf5274c227327a2bb,
'wrk': 0x9c187f03a9a8274c264a5abbe5441b09,
'xrk': 0x85812251f34782d90456b9a223122770,
'yrk': 0x71900802f6b5f279a1cbb24d4c880e58,
'zrk': 0x4ae791a2ddd8e46bab1ca1246a47d875,
'ask': 0x5ed33f7008771c9d49e3716aeaeca581,
'bsk': 0x6a6b374224ecc268dca1e51322322315,
'csk': 0xea0882721f7f44384ce772375696f9a6,
'dsk': 0x6398a5d89dcecbbcb7ae7e1a7f5bf809,
'esk': 0x9fa6719b9934ff34c0df7ae445b533a7,
'fsk': 0x4387f613b59d8d543b37b5dcd1da5eca,
'gsk': 0xb5660ffcdaa6841bcb87b225154f8bca,
'hsk': 0x1f411f5eb625a6622ebb9b46b162d643,
'isk': 0xe602ed4cda21c8908b80d438bedba1b5,
'jsk': 0x0510d707ce5c3ba9bfa4f054982df983,
'ksk': 0x2ae340ff560506f91998352011f2d47c,
'lsk': 0x5db99666f6f4b64579d38787850f8fc2,
'msk': 0x68b38c3a81772f89eec6834dd51be0f6,
'nsk': 0xc2ba70e06d6046c1f3f4292a8d9e914f,
'osk': 0x7ff180711661c8e7f8941e72ca7ed522,
'psk': 0x797633604dd0ac41f2a7fc6d0be64f22,
'qsk': 0x75991d4ac3b9e66ad91ec19f1d08f2e6,
'rsk': 0x10624fe95ee8f38dee72bc1d97d88e51,
'ssk': 0x1c5edc4bbb547c49570f4dce082f8333,
'tsk': 0xc1e7c5cfd3d06ee8ef28b5c807d50f3b,
'usk': 0xb8c50e75b49b9415b1d4d29c549d10ce,
'vsk': 0x626f936284e7bf1d8873775129e3e01b,
'wsk': 0xa0aec06c0545d4fcc065722addfffef7,
'xsk': 0xabd2efd3466facf963a80fce1cc337fd,
'ysk': 0x958c6b03f7b874c20c91ce2ee7b3a950,
'zsk': 0xcc5c5f9c8a2d0b667ed9780af179bf56,
'atk': 0x82f4b3acc856d7c29eab7983b5b04ebb,
'btk': 0x564f64348efdade903a3b83a985759d0,
'ctk': 0xa6dc341401c6cbd11a5fa7c1d715f0c3,
'dtk': 0xc6fdde9c5780a34de4ef8b9456a12d4e,
'etk': 0xbf5c269dd268552f7d6c2eddf0bb8d1c,
'ftk': 0xd3caea3e7435f345aee2e02cd2438246,
'gtk': 0xed67c347e92be1c45629d20dd3078b8e,
'htk': 0xb2e4866f22e9c93e4a1ce2125e03fc39,
'itk': 0x2f8c45f48a4ad8aa97c7dcd207b97dfd,
'jtk': 0xd2f10795e1b5bf308f65a9f20977e6bd,
'ktk': 0x94fbb879374758d1b0d11e93a12da3f7,
'ltk': 0x1a9419e91d2ced0bf34b39153a8d2b0e,
'mtk': 0xdd78108d2f7283a9534e1de8d74e4c9a,
'ntk': 0xb933ce2550c84139419deebb29f405a5,
'otk': 0x6a9a79ff2713d26058f9ffa79f7d231c,
'ptk': 0xa5e838089bee858c96d3f56fb39a8b10,
'qtk': 0x3ab28a4b3bf86933b43aa3a4904cb533,
'rtk': 0x5a2965be6a5fa63212ad16f5c254f62a,
'stk': 0x4398dcfde97e17c14e5628a8f8520cca,
'ttk': 0xec06ef2af307b480bcba5fb021078d86,
'utk': 0x4fddc644e3fe073e6e6a6f80f2da4124,
'vtk': 0x6cd982faefc3e757818ab9dc2e9470de,
'wtk': 0xc40530b8c91bf74472c37164b78fdb55,
'xtk': 0x18ba2139803e69042a75b0c10909c89b,
'ytk': 0x67babe25a9db5acb1bb0cf136b251de4,
'ztk': 0x4f597420d467e33f6d172acc017a0fdc,
'auk': 0x0a8def4087b7ed061b6123eaceea2c93,
'buk': 0x9c11246b0b9932464bf71fb793c1a9ce,
'cuk': 0x0a8ada1f5d2ea05fc3af10cd808bfa9a,
'duk': 0x02f1d10eeabfcf8c69c682819bc69671,
'euk': 0xdeaa742a153786ca7d7307afffc660d8,
'fuk': 0x69b4d5ce9d769080675275b66a82fdb7,
'guk': 0xd43ce303d8fd94d46e6bffc9122f9e05,
'huk': 0x477d0d21c18056709f69da14724ed721,
'iuk': 0x799e3a706c08a8949dfffc856a3fddeb,
'juk': 0x7eee0bfaef1a055e82206127e5b1380a,
'kuk': 0x6b49b9d1da872b2f6653acb416389993,
'luk': 0x88073210769f9ba0da4cf6b7d6c044f8,
'muk': 0xb60fb7657926287713da4f2861d6db35,
'nuk': 0x5eae959afafa1da32db30f0b73fa7454,
'ouk': 0xbd8eedad3cb016db273ea1de46885e3b,
'puk': 0xaf1d068015addcb0d8cf22bc54103a16,
'quk': 0x73b855d2d5cecfb69eb4f56b9a1930a9,
'ruk': 0x3f638fb11b58df1fa150f1ac6b56c7ea,
'suk': 0x76be879a667b655cec8f70bbf7b6cb99,
'tuk': 0xe535ed5534cb3315a374d5cfa6d1a1ad,
'uuk': 0xb30ae3584851b79c9e3f8ccf12819b28,
'vuk': 0xc3df15753d13460242c23473b5e2f973,
'wuk': 0xf4968a90da4e3ffe5504e110216a54e9,
'xuk': 0x66e901b1f39db656d1a24ff5d74bf737,
'yuk': 0xa4ff15feff1d5a0df38164f1d17b7372,
'zuk': 0xc7929efaba21806b93e2fdadb751becf,
'avk': 0x4a2e9bb5d4cdf0e68d9250cf58c4121c,
'bvk': 0xf37c4752604d891b08a2435dae0f81b4,
'cvk': 0xfc2e17bfffdbcb592202b78509c8e999,
'dvk': 0x4ee387f518c28c0f0c254bf8c47f91fa,
'evk': 0x987048cc0342dd38b4e5f47af4e72a51,
'fvk': 0xa389f9aaf4df1d3632cacdb98ba2cb57,
'gvk': 0x018b5e5881c45c5d9bfc38c4e8433c74,
'hvk': 0xaf19ec6cf4bf736f77372faa0b80143c,
'ivk': 0xd156cb18cc44c2dfc53f0b57144caf4a,
'jvk': 0x5ac6beab89bcdf190e1eeda47f6eea37,
'kvk': 0x722dfbe41861572e7da0417f523ec7d1,
'lvk': 0xf8cb2b55d5177b992e588517a6987b16,
'mvk': 0x8430e791017371e5cfa4ff9b1eef1cb6,
'nvk': 0x44bfc9e9285402029951dd99485c9031,
'ovk': 0x88c648d2bfedff6bc6e9972ba5c0f1a5,
'pvk': 0xf7819e8ed80f54f23975e899473e7000,
'qvk': 0x91177640a5c9442efc59a6725653c449,
'rvk': 0x5350502e94c8583eb6655ddf3910ecf2,
'svk': 0xbd20c563d891fec85a6a56482ee0e53e,
'tvk': 0x255f759e6761158540380ab6920059a6,
'uvk': 0xf28e0ade7d04ead630c8ff2a3d3cc999,
'vvk': 0xadcb6f8ab688c7f4ba7ded7abdb05785,
'wvk': 0x2e831f9965a038272c417085d0bccf65,
'xvk': 0x7a30032adf6a9629a88805533b7f9813,
'yvk': 0x6aa24f7b0da41d0be037aa00d4c0d346,
'zvk': 0x12f805260530442198ec09032c3b0cbc,
'awk': 0x5e4c8dfa9e20567e2655e847f68193b2,
'bwk': 0x553378d25eab01aa1a2df9a59ea3d899,
'cwk': 0x1989870a9753c7b3a9e7d8cc59aeb3a1,
'dwk': 0xc5f6f698547c7ff76c2a308efe7f1cb4,
'ewk': 0xd7e7021d6be5f58a5766f8447e2850bf,
'fwk': 0x33f20f3ba79dd3047194a66fa8572b98,
'gwk': 0x636a1f66e6f8fc7eb444338e751c8bf9,
'hwk': 0xde15e247e71b1558a96514c876da1307,
'iwk': 0x5ed732d935c0241ceb57e83e483dc9ef,
'jwk': 0x2e03179e508d300209ae776c8844af7d,
'kwk': 0x43d68cdbd61fb02d9f7e016469e9df7a,
'lwk': 0xa72efd69707817539965ece58087a6ed,
'mwk': 0xd65df5ed68590701162fc352ddf82b87,
'nwk': 0xe21a8b2b7e1ee95904d1f12649954174,
'owk': 0xfb8820c66a4c476bfd85d91051b6a54a,
'pwk': 0x89f2dd1ca51bd6d83497350badc600f9,
'qwk': 0x00940018835c0763c91717c27ea41169,
'rwk': 0x332061c755a43a3cc51645323274cc70,
'swk': 0x7ae9d6adbd35bd4255d5d4ff76ca78ba,
'twk': 0x5c6615779e90c0b45db5fffbfa4bd688,
'uwk': 0xfab8c278170ec0b10695aa87c2091c36,
'vwk': 0xc3085113370b63ac7c8a20d7aeabb73f,
'wwk': 0xfa33abc3bc6f8ef6e7f19d7a10550428,
'xwk': 0x7090bf515307d046c19e5a99d01a7f6b,
'ywk': 0x75120f75beb4e8fbdab6eff0cb4f2783,
'zwk': 0x3c19cf3a544a76e4160704d8f46fa655,
'axk': 0x82a91ef4377e24b652c6a0a08ce6cdcd,
'bxk': 0x1cf868bda7a6d246b1dff3b8f0275e43,
'cxk': 0xe12f2e6348266d7dc259b4c19af0ad7e,
'dxk': 0x25900ec70e5dcca51ac1028f332dfd43,
'exk': 0x75603104da4a0e937d7852572536abcb,
'fxk': 0x7f197fb042f1de0575e7a43895dffff3,
'gxk': 0xe308bb9ed8e7904b1ae3cd1458475d18,
'hxk': 0x8b750623edd5df86620679ef92e83ad6,
'ixk': 0x93fcef1bd7aeaa8bb840fe5eee7e065e,
'jxk': 0xf4c698de00aa3315ae18f2e4e57acb5e,
'kxk': 0xd09a30aff82b34acff071c41836097b5,
'lxk': 0x4c14dff6314535d0eec4082bde9d6da5,
'mxk': 0xd1aa29f03978784be70a84138647d1e1,
'nxk': 0x7e94a20dc11e87bad56128f2d3eea9c3,
'oxk': 0x4dc93e2eea61424fe2d5e09116ea4fe6,
'pxk': 0x6a2028c15d0bda6efb5764b7de29b11a,
'qxk': 0xee0b84983541f3b29fbb814072d41bb6,
'rxk': 0x40da787a8662ba23384640fe5ab53e2f,
'sxk': 0xa64d0dc96d7c951a61517630db52826a,
'txk': 0x9f4b5a0eb34145102bbbc3d9fbce5a19,
'uxk': 0x7537a6e5f5fc7337d0b4dcb37f5c6102,
'vxk': 0x832b09dec602d8c14d35f54c5179aa00,
'wxk': 0x1d3375b177b28bbf95dab513b01d97b4,
'xxk': 0xcb99c7dd294ab5c25ab4e0d637e059ef,
'yxk': 0xd060cc703e519cc524843ead5cdfbd37,
'zxk': 0xd16ee527b669db5bb27a0db4e728908c,
'ayk': 0x7f36db029aa916ae2551e8f108262261,
'byk': 0x4bfcb22aeef6ddf82fa63c310f7f0ffa,
'cyk': 0xbff20425ae9a14b3327443c85af08391,
'dyk': 0x92ac5a4790525593562bb3b48daa67d6,
'eyk': 0xbac6fbc1ac31ea8b0ba2366be7ddcf51,
'fyk': 0x5987c70444c5c6420d060cfbf125eea1,
'gyk': 0x5ecd6bc5cbc54773db54c033ba7ad878,
'hyk': 0xfd69ee358329f602c634d25e2b105ebc,
'iyk': 0x73c47ec3aa5fd76e4d593a3d090eb96f,
'jyk': 0xb0cc6a88cd443f07e5b21b30faff85c2,
'kyk': 0x11fe8d879419fbcf50776b096c24dcd5,
'lyk': 0xb2cb496b04f4739e5b360d9608c57d95,
'myk': 0x9fbfc6076060af6997c2219503ee235a,
'nyk': 0xaa2257993bd2a7c70fc17f7855679947,
'oyk': 0xe8e621745824a1127ae6396f1f694ea2,
'pyk': 0x22974d7fec3db0ebc05f9ace75fd13c2,
'qyk': 0xa5bdbcd03565a954599889f8e95a63e7,
'ryk': 0x7a713389bab55f5251bd533087329a31,
'syk': 0xb9dfc2d3341369e2565197a07f91fc1e,
'tyk': 0x3f03d372b1ff5d735dfcc2d0a82ad2b3,
'uyk': 0x83145ffb0305aa728a612a6b458fa9c2,
'vyk': 0x50f52f324647859f28277ef5ca14703a,
'wyk': 0x570df7f8551af460290936415a1dee06,
'xyk': 0xbff19096cc85a2627b6ff4e494566ceb,
'yyk': 0x39bd09debc1203d58eb88e528f55e9da,
'zyk': 0xa90157d9f9a8d683152ca521cf1ecfac,
'azk': 0xb40a4dc2995acee7fa1eaf5953414c95,
'bzk': 0x1ddde4cdaf63b0e7fda8ab7e8b85efa5,
'czk': 0x0116932150bf259376239bbf8e52ba82,
'dzk': 0x2845c695c0e087a699c003dff425a0f3,
'ezk': 0x7bce18d7202c2d1dabd3c09638cc282b,
'fzk': 0x69748597d578701eef17eb651adc2b2f,
'gzk': 0xcda17c31e6ca82ac1dfd660af5435624,
'hzk': 0xa1dafb69042b0af1f8a8dd298a9e1779,
'izk': 0x845d749e6b9ed33ca71289d4badc16ac,
'jzk': 0xa4445e578df1ddc52abed8648d2ffb0d,
'kzk': 0xa2be12f9354fdd6be081b8cfeb9bd064,
'lzk': 0x0afd8df4ff83c213ab82b9e0d9d62ef9,
'mzk': 0xcdd6a6041e30e0eaed8dcbcc0250841d,
'nzk': 0x0f837914dbac9b28ef9cdb5cb489cfa2,
'ozk': 0xe5b9ca681067a178861084d6bc67d312,
'pzk': 0x57c6cab14df636f485b68e0046d80a9b,
'qzk': 0x7fe6bf8f2ba21d100cff0178714d1a17,
'rzk': 0x0972b7f55132c19d2ca8f897b06bb3d3,
'szk': 0x005eff7dd9626f0c30f2eb8003ceafc9,
'tzk': 0x23ca4d12759adef769191e0d44be33b1,
'uzk': 0xdadb13760f03b9feffd990cba8400799,
'vzk': 0x581c20d6e56bb14f3de6e09319ea126b,
'wzk': 0x1593d9f22674babdff8894d4ed3712fb,
'xzk': 0x2aec22e60d5c747cc0b563fe61f06958,
'yzk': 0xef1771e3c80a300c3e5a2af948015db6,
'zzk': 0x5de7fbd4186f39f6ccbbd13ae8c16c3f,
'aal': 0xff45e881572ca2c987460932660d320c,
'bal': 0xff9c63f843b11f9c3666fe46caaddea8,
'cal': 0x912b498a2f2f5913c1d0a8c913ac8b01,
'dal': 0x0d2e00d2c8b42eefcd3b0b97be31dcaa,
'eal': 0xa8052cb1da644a54fd5c6741bc608409,
'fal': 0xcd163c8ced276359d763ec1a31301a42,
'gal': 0xd7271b0e449d2ba150b1e9aac7f20776,
'hal': 0xcde9e8dec3ca8de88aa6cf61c1c0252c,
'ial': 0x2d5d16a69c98e0b4717dfb6080b33b9d,
'jal': 0x617b94886b46c84543331ea15fd47855,
'kal': 0xb65cb28b7c2569d90631cef9c8a8c29e,
'lal': 0x551b45c5a2e3acc57690b0469d26f1a3,
'mal': 0x749dfe7c0cd3b291ec96d0bb8924cb46,
'nal': 0x6d0a95eca9d104c167717d9faac320f6,
'oal': 0xa1c41128755c3437cf204bbdbd07906e,
'pal': 0x46d85374284e4224cbad52d4d7882e08,
'qal': 0xcb80dbb9f0710e5a18a2a4c1053fae79,
'ral': 0xec2cbb555d45face1f8dc619edbcc1bb,
'sal': 0x7794fc517590053809f758b7e16d87ed,
'tal': 0xc0079e0d4e801bc94bce6fa2ed9e008c,
'ual': 0x38cabf91fa07b9e9aaa61ae934d1ba36,
'val': 0x3a6d0284e743dc4a9b86f97d6dd1a3bf,
'wal': 0x2f70101cd97aa4896dd9732721ba8e38,
'xal': 0xe4fd228f18e8cc749a68ae6742b222a2,
'yal': 0xa10074b7653c2d7fd8706a2a8189288e,
'zal': 0x55043786413e72364161942d1bf9e836,
'abl': 0xf72a2d493b4ed480917599a1b9d66df9,
'bbl': 0x6664839d97bff7c83755856b34c9051b,
'cbl': 0xa0ac1dcc87f7ea355b59f21bfc1f1b18,
'dbl': 0x365b8373d0bf6dc9e3450af670cc1d35,
'ebl': 0xbfffa156ab2a88dd01ba428990ef4ad0,
'fbl': 0xde064adcd2c64dd894cc2ca2802e3ab5,
'gbl': 0x33f706f3476d267d9caabee1671e2ae4,
'hbl': 0xc6b92dc60e214d56b0466bd2be71df3c,
'ibl': 0x8a2c4d53749afcabb2455b786dda05a6,
'jbl': 0x65268c0e74564f5ffb5d30e500b2aa97,
'kbl': 0x9a0bb6d92fba2eb621634109a3236643,
'lbl': 0x1aa0021a3663ef0c4e3df8dadfaca731,
'mbl': 0xc4e2e803e5d0d35fc59f2a7d7bbb11c5,
'nbl': 0x66eeb3f4df8c2a5221d19c8fd68168f0,
'obl': 0x80ca3dabcfc340705f89cc106f808c6c,
'pbl': 0x25f66d09583995c8fbf858e439e0ab33,
'qbl': 0x51af7f7c1c372d65d5ec0e368e88d956,
'rbl': 0x94815f9505aaa038e9873d71d9c76a30,
'sbl': 0x7b38f8760fe5a02678a689a18e85e6ac,
'tbl': 0xe6d037be0f9413ca1751cce755f342ab,
'ubl': 0x0cbff38bdd328ce3d65d889a25430f13,
'vbl': 0x91a7b4df7fafdad7eef5c0931545f1c9,
'wbl': 0xd221017f1084111929f48adbd37ad999,
'xbl': 0x65bae21640f3ddb32301eb24e074b1cf,
'ybl': 0xd27f2a6d8c3892801ba3b2e6bcd424b8,
'zbl': 0x765b3c619a7596e1b36a1303ad9d591d,
'acl': 0xa33915ba226b6dbd1edb3e09fac41ed9,
'bcl': 0xc5c9f0b1483e64a6700d90800a1b0d18,
'ccl': 0x95bbc40cb7bbf40ebf7b825922894718,
'dcl': 0xdc7470c383199bf262d7f5e9a7bfaa03,
'ecl': 0xb70703d8c14cc1407133370d2b5f5854,
'fcl': 0xf29ca3efac0d12ac906502418fe026e2,
'gcl': 0x98a946276ea9c736f2142648be86237b,
'hcl': 0x6ba1412f26f9234255ab18c9477a82b3,
'icl': 0x4c708ff0f383a80e42bff15cc98ff224,
'jcl': 0xcf47575930ecf616e51aa2881aa436eb,
'kcl': 0x7f622f22f4bbb66be456d0e594355bea,
'lcl': 0x628a21ee5aca552776b95f641d6169b9,
'mcl': 0x300e02446c6de0691ee1633843d97150,
'ncl': 0x6693d4b89b6c3965b348a961796e236e,
'ocl': 0x94141f35b626ac6a1b6e430fef4cdfd2,
'pcl': 0x2ca666e9ab7fd185f98b8152584735ea,
'qcl': 0x028fcddf9f93b603de56cb1fee272d93,
'rcl': 0xcebe250d0bdf153b9c5fdf7fc762f386,
'scl': 0xd89130d4e1e4c52f4a9972e5507489a8,
'tcl': 0xdd5b959833e219c36151d647b47e93cb,
'ucl': 0xa36892e66c8a266af4eb202e4e4fca75,
'vcl': 0xb8e70c06e5ce7d45969fbe73d751b395,
'wcl': 0x81564bd5938467e836f053c462487364,
'xcl': 0xb8152b685d4d73cddf835f724b4090d3,
'ycl': 0x65a2d657f04ad0ed11de53072e1a9a49,
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'fol': 0x8f9f44fa6c8c562e3d630f384927dc8e,
'gol': 0xb6ab66c58253a0f21931c1def7898859,
'hol': 0xfefb8eedabd821fbeeea6c35c38c1966,
'iol': 0x385464f942b4e33331157569038c93a2,
'jol': 0x5ff059205c430013f5e8a3a2af91c103,
'kol': 0x4ac37ffd8e0694befc66b3847d76dba7,
'lol': 0x9cdfb439c7876e703e307864c9167a15,
'mol': 0x4fcb130eb3b47f0d3916d1cd92a5b4be,
'nol': 0x0c72a0ccc6a4b854f03022f4a791eb42,
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'rol': 0x875b854107b408d2899cce9dff917e70,
'sol': 0x12313a3d28f802e3a22b07d2e01c6dcf,
'tol': 0xd9734757e2e9d7363d18a5d238f419b4,
'uol': 0x8da996e2039ee4e2642f3262bcee744b,
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'wol': 0xc409496bf2d31ccefbda80533304dade,
'xol': 0x0296c8052637b4264ac78f4ae5b86bda,
'yol': 0xa5da5ee4bf71440b90dd9082e6724f67,
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'bpl': 0xf56e4481eedff382cde4ffdf0731f09a,
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'gpl': 0xd0664fc488835d9ea73482d71fd954e0,
'hpl': 0x03e73ee7c03a6364b53dc971980fc6e1,
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'kpl': 0x361877035a32f3073eb1259ee15286d8,
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'npl': 0xc68756ce4fe7be9681aefd4a8dc70c83,
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'tpl': 0x4f2afc9c4099ee1f39c9f551123e54bd,
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'aql': 0x92fc8968c619e1d21c1b145b2e533fcc,
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'cql': 0x9a38dff12e3d87ce5fb6436e6592b1c7,
'dql': 0x9e8df9a65d8bee50427b6c255ab6ffe1,
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'iql': 0x480d00cf5b4a3a44c024f0dcfd593189,
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'lql': 0x63118b951fbde25713fc2dded149eab9,
'mql': 0x66638f80ab055805959fba60070ba3d0,
'nql': 0x5cd7fbb4749d115f49019b4cd1099de6,
'oql': 0x9b15252bad92d4f912b284b9a274a83f,
'pql': 0xf1cbb2e8a13c679f8a3cc8652f1aabc7,
'qql': 0x93c367bd0e12b2f2eb7b69d8e05566be,
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'tql': 0x5fd277be39046905ef6348ba89131922,
'uql': 0x0783599267e00fae8888b82ac07b69a1,
'vql': 0xf27d8c68a42da1743d288742d56dedce,
'wql': 0xb41eaa86d547eaf0aec73ca5fcb61742,
'xql': 0xd1643539bf9c041238d893cc693f36c6,
'yql': 0x32ad7a1a0265d596e5545ce907821fe2,
'zql': 0x10aed9da76ba0a92f059beb43911f563,
'arl': 0x15e76f8904e69d0ada402c3d7401518d,
'brl': 0xfe875be3377cc3eadede0e56364f5b06,
'crl': 0x8484727f202108279ec88be93f30da77,
'drl': 0xe9f604cf75267bdae836a39e794390eb,
'erl': 0xa636bcf354a837fb5c25c3d5b940170b,
'frl': 0x22f4970e67031c3186c884a485e86f50,
'grl': 0xe99064a83fa76232f8b825c07ad08ef2,
'hrl': 0x779562ecdf573e0489bf4b076f5de07c,
'irl': 0x484c5aa99688af4038b3980324f1232c,
'jrl': 0xb8430128676d467023d0261e4ab7e95e,
'krl': 0x1a45921378c81d30b0613cd2fcd3bc7c,
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'mrl': 0x278262a5b91d8e0cdbb96d96afc9d430,
'nrl': 0x49b0c436d8f1761fd7895fbcd94ea5de,
'orl': 0x4453e44bed02b521fa162f5045fd9e1e,
'prl': 0xb58825cefebdd1dec077a250ee49420e,
'qrl': 0x93b473625d26ceeadd86d75a59169592,
'rrl': 0x2a74daa60cb812ad4455a6f78d43889e,
'srl': 0xec733a11b6acddc2493e3efaa10a995c,
'trl': 0xcaa7ce1bc01e30fc915a687c58e2e69b,
'url': 0x572d4e421e5e6b9bc11d815e8a027112,
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'wrl': 0x785cef577f928a7833485a00f2698dff,
'xrl': 0xe84748d608c9c408cca2df90900f534a,
'yrl': 0xab17ded1ce5b6391a015c520ee8cd948,
'zrl': 0xceab3afe8083284e2453bea665ac89a5,
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'bsl': 0xa942cb04f629d9e8d060f5681d41b630,
'csl': 0x90ff9c27cccd9efba1b868c0cba2a84d,
'dsl': 0x57f62e085cfdf20b39e12de8b1993112,
'esl': 0x55451ac9f139b81c4f44a8a268afcc57,
'fsl': 0xcf0954bcbcceac4ddd38421384c09d0e,
'gsl': 0x070706e904a575542e19aa9b44178c79,
'hsl': 0xb735e250ff5d58e98f3b38fcc92b6080,
'isl': 0x84d1e82cdbcff28e831b565390fcf63c,
'jsl': 0x57357b7ffd3ca935d4b416fd4c57607e,
'ksl': 0x685871a5a8b11fccae063ca7661da785,
'lsl': 0x9f05b617878c89b529edf5b73f69b822,
'msl': 0x8cf205e11d5eb3c998ac34958304c608,
'nsl': 0xffb3cd3a0d0077132e01bdac5cf43561,
'osl': 0x659451ef59031c74416ca1b712833235,
'psl': 0x80fd2454b036a4e39104109bfd09d325,
'qsl': 0x00e7ea205fcc1c526a0f5169879d5f7e,
'rsl': 0x58d6fade8e622f6a5a305c2e7aa6fe9a,
'ssl': 0xf9d5c16a7f42203f8c195432354a3271,
'tsl': 0x65914d806032822d19bf059c0a6adae1,
'usl': 0x176cd2e876a5b2182cbfe43938e4588c,
'vsl': 0x471b6cb4cee7c59bc2c0ddce120a1a80,
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'xsl': 0x4204e4de3fc1f8bffa6f77c383d2d6a0,
'ysl': 0x15d9c20d5efba2a9b1615b502e05ebdb,
'zsl': 0xaf99b5504554fc98cf8fc439a5867895,
'atl': 0x3c6b9e80292c67d4878661eb4d8143fa,
'btl': 0x3d2b76f7e038c9d47e139dc241176e4f,
'ctl': 0x612aae0a87469b795c172dee0a3693c3,
'dtl': 0xf01036d2d9d32d843afd7c8cbe07637c,
'etl': 0xfe8927df7669eae62eeb5e5e2b52c6a3,
'ftl': 0x9afcc04a0941bef19d3cec857b25f71f,
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'htl': 0x02638ab3896b7a5f3589ed5677b1361b,
'itl': 0xaeedead5e66d972106669bde3b75f5fc,
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'ktl': 0x3cbe473fc058697fea53a7d20ee7e2ad,
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'mtl': 0xb4581065ffc340bd0ee01d093a40d7ce,
'ntl': 0x6d39d71e123cf74acb68549aa236ce7b,
'otl': 0x1a1e2a614acc6f2e5203d0a3ac19f37c,
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'qtl': 0x08b744a80f373a000f4c01eb4d2d6432,
'rtl': 0x191b2429e8a8f3fc62c996fd323cdc97,
'stl': 0x7646b54bb4e9ecea20a0ca57e3b2f794,
'ttl': 0xc431a4425bc56080c868435c8d910f83,
'utl': 0x5740fa26067e36fb6a3b53cc293581db,
'vtl': 0x37f453ed876654e1878d890219f6a2dd,
'wtl': 0xb8ca5f459501d7a961ec00bed005bc41,
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'cul': 0x35dbdd6e633566c4160e699a86601ab8,
'dul': 0xdbfc86cc375fdfc85f5acece0103a01d,
'eul': 0x84aaabb0765621e877163e851b0ca99b,
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'hul': 0xc8ebf74c1f71e7179f3e1c92074d724c,
'iul': 0xbd6ecd9631304a726ac8321f8790dd58,
'jul': 0xf05c8652de134d5c50729fa1b31d355b,
'kul': 0x212747dc84369b811b3bd8611c78422f,
'lul': 0x2c0b3d4664350f2ff5a2ac539aeacf0e,
'mul': 0x353942263d1bedfbe06b7bfa78226253,
'nul': 0x40a8712b29ac76182ed0c4f632b7d543,
'oul': 0x67e95123ad067c4f47d9f2f96d160f7e,
'pul': 0xd09e4671adbbeb1174fdf3f79b34b436,
'qul': 0xa58e8b3906b93264145912a9e7561cb6,
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'sul': 0x6eef2965e5ad5f10a79ea6dcc2a291e9,
'tul': 0x2417e0501d028f2566cfea42ace55004,
'uul': 0x0bf6a1018b9e49f894d3488213eb7060,
'vul': 0x1f7b4b975491e924484f06985576f5e0,
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'xul': 0xb1bd11b917ad8b9bbdc7a00ad3317569,
'yul': 0xe306018545c56281306f0cfa8b134fdf,
'zul': 0x1cf440e0df367e8a74becfa88ba0595a,
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'bvl': 0x693fe0d3b7788901ca33320965207d65,
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'dvl': 0xcb9533dc5119ab006794772c07e2aa86,
'evl': 0x700931a2d326e59f6ec436de27bf9f12,
'fvl': 0xbc92c1eda5b9afb784d6ae4f3d32cefa,
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'hvl': 0x64607d49081f6c1410dae213683208d9,
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'jvl': 0xc5bc7ed3c68f7b9513bea3bdd3ea4072,
'kvl': 0xbb23fd5c96f303bb7c74757245e78bd1,
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'mvl': 0xf46392931d723e42ae0a9cccfbfad743,
'nvl': 0x107eee5492953498b2c56e9f292d1344,
'ovl': 0x3057c193ece6e2769c3fcb2d88b48458,
'pvl': 0x8e4eb0b2c764c494527a23ce0d804013,
'qvl': 0xb80613fe2ea612e6faeea04845fd33cd,
'rvl': 0x8939dbf0b9278212f6dc8ef39247ccb2,
'svl': 0x0c25ae3066f1b9f7890ceff405fdcab1,
'tvl': 0xa2b5d7b97312afa9ab49107c6f06fc8f,
'uvl': 0x710e844fbb5e70615ade8df3735702f7,
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'wvl': 0x47184240b8f59884b2aabf7806e344c1,
'xvl': 0x91a1acba5fed0f3cd426b8a0f1fb1e3e,
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'dwl': 0xf0cae0d0d05ddc6bceecce4760ef91fc,
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'mwl': 0xf6417c12bab882a752dd1aa0c635aebf,
'nwl': 0x05e7c156c9a469225b7d1f22d7b45979,
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'swl': 0x60dc3bc444722beef0a2c7ecb9e792a4,
'twl': 0x84d0b855715f7a7d2b38c66118a0da55,
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'xwl': 0xfe8e45beab37cdf18ff7acc3aca59779,
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'bxl': 0x44451f004ae4d51ecff0144b79de0aed,
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'dxl': 0xe0c1d44887f319d55261326a41557655,
'exl': 0x8a6a985cca7c3ab055a977356a97cb7a,
'fxl': 0x1b00617de45d72ecca6c59f223b5d28f,
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'hxl': 0x1bcc3dfbc9a36a050ca07b3c72a4810c,
'ixl': 0xc35d7078c4b088481b8e9bf5d6d01efe,
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'kxl': 0xa966f0a7f24fcd769d70746b1875ef60,
'lxl': 0x483d0a6af10b0841dadc2d402a8df483,
'mxl': 0x90d162aa1f38ee74a8a7041bd2201ba4,
'nxl': 0xc641270ae72a3b4f9fd393b7fa8cbdfb,
'oxl': 0xd1444e68f420d1baa9298a280798d5c8,
'pxl': 0xab642ce62f55b2ca05b4697f3bd7b53a,
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'rxl': 0xb7d9f25bfbf5d133810960603abcb539,
'sxl': 0xb43de3f2d210f0052d0c330cbae0ee0c,
'txl': 0x30299f2131ca0ea942fd4de491056744,
'uxl': 0xa899fdb5a20b6aba603d71512e186fd3,
'vxl': 0x8ef4865196b92afc7af6c6c34147b68a,
'wxl': 0x664496c01babe81560ddf81cfcc86170,
'xxl': 0xc2912fe9a6ae9d1f03d142399fab8f4c,
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'zxl': 0x91ef4179c8bb9acb60fcf4813c7621eb,
'ayl': 0x064e3ed75c1ef726a71e86d9d4011598,
'byl': 0x0a85c7ae8e0a177f69ef9961d8d1bc06,
'cyl': 0xb415b23d7adf5ec8bd6a3c41f1235187,
'dyl': 0x9e542b7755a6c2f05c3f07e2ddf92aaf,
'eyl': 0xab9d733d2007eee41c85bf65426a687d,
'fyl': 0xcd18e888a847d13761d7a708bd8f884d,
'gyl': 0x75feb7166f148e5f6898adba0fbb6975,
'hyl': 0x4630ddedaffc54b1881cdf30ed0fbc63,
'iyl': 0x6a5d6c1a2e8a7d83ebf74f4e336f8849,
'jyl': 0xecf4b7ebe88f34f60cb041725642f352,
'kyl': 0x248174302ea9f8119080309975d42302,
'lyl': 0x2da1c53d5b69ad46e6c0d4dfcddc2268,
'myl': 0xc700bb8ba713749917404bdc13052599,
'nyl': 0x9618150afa5e725172871681b4291350,
'oyl': 0x5e666a894212880f721e0de155031590,
'pyl': 0x3ca1734a849e44eec59796584b3bdf90,
'qyl': 0x11285f8845bc3dc8119f9bdf6fc76fbe,
'ryl': 0x4d666f4a22d36a2262169ab6c9aae45e,
'syl': 0x0c7e0e3afed9b89ff0fd10b7a5bff0ce,
'tyl': 0x55f5c1c64bf8dc3000b9aa41cbe6b3cd,
'uyl': 0x550fb8072d105094839383a703460ae7,
'vyl': 0x01f8c17425590edc854070275c8fe868,
'wyl': 0x6ca834663e0689f1ba804837cc53f642,
'xyl': 0xc70cd04313ff260a83d6d7990822c032,
'yyl': 0xe3bea3e29bccd4b8d4214482bcacb59b,
'zyl': 0x3a79f9e97bb9c416ceefb40943001e5d,
'azl': 0x60315095d9601a596b33148a359f493b,
'bzl': 0xb67a69a9e5cb257bf3ca6d0fdf43e631,
'czl': 0x3f95cc472930da5329b1e5d44cb6613b,
'dzl': 0x213d66438433704b5af7350fac9bb1d8,
'ezl': 0x3c8cafc3b54624eb305f464199447496,
'fzl': 0xd891f9ae1f5f29c04182aa70d3fbf9b0,
'gzl': 0xdad62f1034b31e5079062a556bb90dc1,
'hzl': 0x31abbf083d9d21e61b88f6b4b6f1262f,
'izl': 0x78aefd273f81bda4e3f2294acc57c138,
'jzl': 0xa2fcee2c6ff28a9e301dedd6aed8d567,
'kzl': 0xf7ce21d3d3743d4e60f6d83b811476d4,
'lzl': 0xed6987e16a531800537a255fc99faed4,
'mzl': 0x0ed7e0e5d1907bf97305b212e6ebf163,
'nzl': 0x5034bc3fd2a153aad8f903a3df44d08a,
'ozl': 0xb57483b5f36e06468bbea5f7f116930f,
'pzl': 0xe4257a23f58a61bcb6852e49ea0d37f2,
'qzl': 0x8de19e44d2ef11d5f756aa1ab6847f9c,
'rzl': 0xf8446be95edd121fbfc27b8fb76a87a0,
'szl': 0xee19e453829326eb7192bf50037b4269,
'tzl': 0x9d989399bb803fa58be2df9d648c001b,
'uzl': 0xa6ef4acbb07de4002edf5c524caa0db8,
'vzl': 0x7a131fc3f519a1d879a8b5b4ec5e1995,
'wzl': 0xbe4646c75cab662c024309fb38497351,
'xzl': 0x4f15aff5ae031fae53f0aef4b3aaf7b7,
'yzl': 0x4fa8d6515821cdbb82631985611f437a,
'zzl': 0x17987070c6f2bd94b4a67d4d4df850eb,
'aam': 0x35c2d90f7c06b623fe763d0a4e5b7ed9,
'bam': 0xe5bea9a864d5b94d76ebdaaf43d66f4d,
'cam': 0xad017e9d6654bd0ccd978958fa1b6da6,
'dam': 0x76ca1ef9eac7ebceeb9267daffd7fe48,
'eam': 0x9b87009f505eff84ae395b040a1ea382,
'fam': 0x6503d1b8c90fd5dea060ae7331e3139f,
'gam': 0x6ac5f51809825cedb31b20d6e3daf631,
'ham': 0x79af0c177db2ee64b7301af6e1d53634,
'iam': 0x0ebc580ae6450fce8762fad1bff32e7b,
'jam': 0x5275cb415e5bc3948e8f2cd492859f26,
'kam': 0xd968a18370429ceee4e7fb0268ec50bf,
'lam': 0x1c6d6ca22cc31cb79e6e1f5277ef06e0,
'mam': 0xb735b0c78e12553e91397a3ff19f8fd1,
'nam': 0x22c78aadb8d25a53ca407fae265a7154,
'oam': 0x09b1fca3f1b52cf6e1978be249a941e6,
'pam': 0x91c0f7100bde719c44790e7df757a1a6,
'qam': 0x795ff54e894c0d11bdae1ac0c0230542,
'ram': 0x4641999a7679fcaef2df0e26d11e3c72,
'sam': 0x332532dcfaa1cbf61e2a266bd723612c,
'tam': 0x3eaf6c984c18d143e1c0a797779afea8,
'uam': 0x3cebb6749dbb104b50b208a5a92b5a70,
'vam': 0xdc19d421670342a37a2114063f29be6e,
'wam': 0x263128cf9107b527122ed0dfba8a8be3,
'xam': 0xc4a8598a784522e018448deddafabdb0,
'yam': 0x806ad1e1a4aa6498a4b7adaed7639293,
'zam': 0x142cb104bb9ea93530eeb1a904e351c2,
'abm': 0xa9253740a0b0976cbda6c4230a76b4e0,
'bbm': 0x14e56e92287a633ddb3ca47d574a241f,
'cbm': 0xed30e91563baba6812e1f386b72ae76a,
'dbm': 0xd43df2649e0ee2d889c9368d88c2e78c,
'ebm': 0x3dc70661cd5ea000608c27661b5c240b,
'fbm': 0xdaa0dd5362a28f26003df81eb617a799,
'gbm': 0xd2bf187f87d107c5d6853021128b5adf,
'hbm': 0xe65e9faeec18c95733e43fb7b188ad85,
'ibm': 0xe757fd4fedc4fe825bb81b1b466a0947,
'jbm': 0xde8ddf86f6aebc85d38050bea6cf71af,
'kbm': 0xb18a7c98e7adb94c12be083a6962a078,
'lbm': 0x0c5c5d6b66f635dddebf4939f276240f,
'mbm': 0x7fa59cc8761d9ca4cc18bb7eb1ce75bc,
'nbm': 0x141daacd408ca680bde2093f3d000d0f,
'obm': 0xdea3e342eaa78eb4735eba9dc76559c3,
'pbm': 0x74c154d4bd8530a0d40fad275ee9bac1,
'qbm': 0xbbe65676ef65288b6f7878b9a343fb9f,
'rbm': 0xf16998c1cf44efc4b8cbb809f782caa3,
'sbm': 0xfc24e58fa3775bae5524f776f9e57ec3,
'tbm': 0xf89fa02b7d644e513115697aa9f7fb34,
'ubm': 0x62b5667f0c4b12946e37934f00361e43,
'vbm': 0x7216e8e74221339189179889b66f6cff,
'wbm': 0x8a65582ad3c3110b930beddba0596a7e,
'xbm': 0x05ade26199700787acb4c09210c841b8,
'ybm': 0x1eb8511872b531070c850fcd1cb10c7b,
'zbm': 0x9093391ce2b609269b83daad9056647d,
'acm': 0x02b55e4f52388520bfe11f959f836e68,
'bcm': 0x83e387d48556c62548b4558e30f7b910,
'ccm': 0xb42f1990c0cee8758b64584877d69b93,
'dcm': 0x84ac41d7c57ea25694b0cb7899a104f5,
'ecm': 0x3fd5ac46a040c95fa5c481167f248542,
'fcm': 0xcbae54a2ed8fbaf23d6ca4bf23471226,
'gcm': 0xef5acdb93989954b1cc5f4e0ed0abbe8,
'hcm': 0xcdc8773b0f1541ecfdbb5465a66f184d,
'icm': 0x17739dffede9324ec5ddb194b5a05527,
'jcm': 0xa26bfec5313adcb959b8a21d43747c5f,
'kcm': 0xfde39075d6371c19452a38aadf08f370,
'lcm': 0x29895a7e60c523c1dd3e85d1ecfff6b0,
'mcm': 0x5b843ed5160086c2d34710c0ef6a1da6,
'ncm': 0x4a35aa35aaa7467ff2ad41ed6806b591,
'ocm': 0x384f8f5b973f8518a1f70fd40d26b310,
'pcm': 0xec5c8103218f27aa6ecfd3f11e1a6b45,
'qcm': 0x68bf09624358e484ec7c4880e70a8ba1,
'rcm': 0xfafa238d6e5a424c180d5fda3ae3dad3,
'scm': 0x7b3a7a628c6e84b2b00d8089edb3b4b1,
'tcm': 0xa005a08d7cc59163d7f4de2b7fdbc147,
'ucm': 0x0331b40c89f63747bcebea3b0fdcd7f7,
'vcm': 0x1792a83be1825d512c0ad13593801266,
'wcm': 0x389917beefe49304693b8c57f185c52d,
'xcm': 0x706a8f6db55a95e9bf7a8f04a5e3e8db,
'ycm': 0x711de35767af2cf7348e501596d3ef0c,
'zcm': 0xb6f4e5e7d8ac17da36e9a0034775321c,
'adm': 0xb09c600fddc573f117449b3723f23d64,
'bdm': 0x528207fb6d011fba827e3f25d37ecaae,
'cdm': 0x16a81ec4aaab8d96c4398d202af5b527,
'ddm': 0x1de16a8e287f7c0461ae2941724e62f4,
'edm': 0x6cb5644bd3cb743ddc6aa7809b2952c3,
'fdm': 0xc820548ac1a1b4680d1fc5fb39033a44,
'gdm': 0x38f0fb45944fc9fc05e75445eb12633e,
'hdm': 0x8f75a903924ae5e87ed48e1d713f5a28,
'idm': 0x679a4004c55e0afdcf4d4bc5b680162a,
'jdm': 0x34171b8ea3c68516dffe90f90a3c5de7,
'kdm': 0xb69da0f2652e4aaab4ab454e084b2fa7,
'ldm': 0xe0a3b28de1b44c62964ff8e4292a1417,
'mdm': 0x5ad2bf82fe2aa1ff3a62ec36d8524104,
'ndm': 0x04b2f0a4ad7772ca864aa569917b2d2d,
'odm': 0x33e753e3579458fb3f46d953a9dbd800,
'pdm': 0xab061d9d4f9bea1cc2de64816d469baf,
'qdm': 0x56b48c5ede4041c23f7eed66d7ff87c0,
'rdm': 0x4625809eb2690f70abd21c4a9aa6b2c7,
'sdm': 0x6d662f965d1e85bb367efaa03594c5a1,
'tdm': 0xbf27c8fbf7e9c3f45dd566d3f8bf822b,
'udm': 0xcdcac6022f9a5d6b5181a5c8b32b9365,
'vdm': 0xa99d19b66a082927e030b940693c3205,
'wdm': 0xda552355df18d706b1cb44aad2699661,
'xdm': 0xe823bce2b299aae89c9aebb963f3360e,
'ydm': 0xbc183a773c80a7b37ece8d6dcb0387f9,
'zdm': 0x5e3ece0d11da8638b21660b52b88ef3e,
'aem': 0x717756119303a0a036b274e28a590a4d,
'bem': 0xd3c654d99bdfaf101e012bfe2810679e,
'cem': 0x67e34ed173dcf2b555855f3408d5e664,
'dem': 0x45bc08e6003540a8698dfabade95cd48,
'eem': 0x8f0346a0216f7913c359f8d167313e06,
'fem': 0x411f822017e8c2a440ad181acfe50efb,
'gem': 0x9855b7f5d316820428a3e475d37ff14e,
'hem': 0x83368f29e6d092aacef9e4b10b0185ab,
'iem': 0xb3325d8a10b7ea3147206722b186ac88,
'jem': 0xb6ff1e02a41535337f28b3d8b18ccde8,
'kem': 0x9f7b0c36272cf9b3608ae0a33b1a4ade,
'lem': 0x45e9ed689390d96ec2334675bc774f1a,
'mem': 0xafc4fc7e48a0710a1dc94ef3e8bc5764,
'nem': 0x87b524b4689c0a64177ed181f9650508,
'oem': 0x21b190e3fd92193f495fc7e7b7c70b3d,
'pem': 0x8921ffd638d5e5fd424e4c197e829486,
'qem': 0x1cbb1ba0d8f91a2db96d0422867bfdae,
'rem': 0x5cadb523cb6909f92350f70f124adfb8,
'sem': 0xbd9a2916f0e054a9361a98a97b8db5dc,
'tem': 0x1ba857050fb952f2cf6ae7c55468ba62,
'uem': 0x057a78b3352279b50d8c8a152bc1eb53,
'vem': 0x048793541e88411b88e0ddae4645a263,
'wem': 0x26a7738967140a58291f7618163c0562,
'xem': 0x4124a442ef3a3dde4a4891808cc9da76,
'yem': 0x310a603028a0c6ff53b7301af9c8fe79,
'zem': 0x739193b14534e482d6df6e986caffc0d,
'afm': 0xe02ac68d6cc2b639edec5b4755d55e8a,
'bfm': 0x215fe43507e4c03a5748252cb7d3c846,
'cfm': 0x2edbcfe7b7fbb8e36ddc7119306c64f2,
'dfm': 0xebca9bcde67fb2a30ebdaab81dfc9adc,
'efm': 0x737bbb143b65fbc8a606d15e7e38bb97,
'ffm': 0x4877d68c4f389a1a16dbf5c4ae5013f8,
'gfm': 0xfa70f83d6376267abf0a3da8a52d3846,
'hfm': 0x3ba9f50932d05bcb3ce561a5fb55f728,
'ifm': 0x0aeb58794c29d040e7da234b563a7574,
'jfm': 0x02131e4c01ee038736280ad5195d1f7c,
'kfm': 0x14dda7e9cc096397e851a3d71465511e,
'lfm': 0x400ad14d9fc8101047cb994ec6dea0be,
'mfm': 0xee50f011c806f8a8420b78057ad2c6d1,
'nfm': 0xe85542c9e731fbff6ed24169ea015e82,
'ofm': 0x6a0fa847ea059e4c27f51bb660eac26e,
'pfm': 0xcb94ab15cf6b81cf813b2ef5a1e76dd6,
'qfm': 0x8d9b054de350106546234a9d053731cf,
'rfm': 0x50167919fd6ff61dcdcc8c57a73cb06a,
'sfm': 0x968e67e4d26c36a6a90813a1001cded2,
'tfm': 0x42718f7a0f709e7bccd60f68c32f2934,
'ufm': 0x04575a437066f545e341cb8bd9d6927f,
'vfm': 0xb8ca5ef27d3379954815273f90d32561,
'wfm': 0xac7d39723388f5f067515b02bd6a2a76,
'xfm': 0x7d07a9594459028078a7d4bfbc67d7a8,
'yfm': 0xc89fed9750c63d7abb33417a2c1b0729,
'zfm': 0x515f5632bfe469129ad339857c2a1c17,
'agm': 0x24092730b4c8763b49d24613a3b39577,
'bgm': 0x6a7975d3dc974fd522610adfc8b1ce38,
'cgm': 0xe7b5f31246e8cb9f6cb24f51055b7633,
'dgm': 0xeb62c9b3f211e864ef49097b917b4c92,
'egm': 0x3b071fd56265d932b3033b26ec7f5de0,
'fgm': 0x1119d4d3dc6683b53617d3423b0276e7,
'ggm': 0xb934915bb8ab1443e182c56ccda0e562,
'hgm': 0x6b5b55308bf14a20869ffcb4cef15bf5,
'igm': 0xddb16b63a2d9d130019c1ef0ad718ec2,
'jgm': 0xdad44b682eabfef18d6974581f0a9cf3,
'kgm': 0xbf59a179c83e6326729576dc1309be7b,
'lgm': 0xf179eddd7acc38486c27325e5cf0025c,
'mgm': 0xe11b0ea2d9dce5e9b25dbae3cbf7b37d,
'ngm': 0x1ff4d60d97c7c4d298d0e2f130d48da3,
'ogm': 0xa8317cc511086eec82bb5543dfb13e63,
'pgm': 0xfc61450d3f31b46b6197c42e6b047f47,
'qgm': 0xc75f293cb0a9489849071e2117a83478,
'rgm': 0x4c3e6a150bcf069e1b9c01eeac44f734,
'sgm': 0x8360785b4bc0e0c6d42fc0e6ad975e3b,
'tgm': 0x8e7b3576e667ac62f55d22f7d9fd23ba,
'ugm': 0x2eb0bf3f359eba85afd7acf5d90e461a,
'vgm': 0xfb0b3c0612ee7ebe40e432fe44815a73,
'wgm': 0x1998c55f23c98ca17bd12a47020a7a8e,
'xgm': 0xb911391d53e2464198bb2f1326afe114,
'ygm': 0xa5ce3951578b339952c5b8f6ef5d14c5,
'zgm': 0x3854149a72d12e55959500f6abc0410a,
'ahm': 0x6ec5dbe0c53114247dd799bafc240c58,
'bhm': 0xf06f29448b3cbe671f6f0c9d716bd86e,
'chm': 0x6e5e4d1b1805aa7866c99c63a26b4886,
'dhm': 0xe659c3fcdc569cd04254d4788426e893,
'ehm': 0x4e1d4fac4b10ced64b509205d1fde0a5,
'fhm': 0x9a4ab5960b2e6d5051ec80f6fc699bda,
'ghm': 0x7cc920348532e7cc63e15024fe5c1a57,
'hhm': 0xb4427b1cbaadb73573aec9542c288552,
'ihm': 0x75a0b9b40f26fcfd635593f22e8b53c3,
'jhm': 0x82dfb88f80303e0d0e2ffdbdc9e82b64,
'khm': 0xff6b09ca20c1013494014346fa031100,
'lhm': 0x7d012fd69545d081459d8faac9291f21,
'mhm': 0x752e2c3e7781c90b889b91dbbb9aafe5,
'nhm': 0x1002cb77b33aa97220dbb66c3647f03c,
'ohm': 0x35464785f1a8901da7d158145ec47417,
'phm': 0x61cfe49699306554470c69319e14a432,
'qhm': 0x3217d347b8df745b3c12fd758bf4dd9e,
'rhm': 0xfa37c97d5b4b7910e0d514d12a0844a2,
'shm': 0x99ebb038380e15bc896c3a17733ab484,
'thm': 0x0d379c25691f1db02fd2dff786ffd19a,
'uhm': 0x5e72c75e893c579d4c3dd3d1e8b22355,
'vhm': 0xe78956424c6e3afaf1b751bfdfcf1b5c,
'whm': 0x4ce31317e5393930a4863ae0ddd5c172,
'xhm': 0xa30b9cf363854f49e7c9323d8a256510,
'yhm': 0x59e13c2327dbb1aaff5904e0653a14b0,
'zhm': 0xaad3b6efbea6ac3d2fa97e14098f8eed,
'aim': 0x4204e3a9e60327e2e86b5877bb856e1d,
'bim': 0xadf1838ff29aae4c44a7f23c6ebffa26,
'cim': 0x2a0a0798dd43023ab30bdd4a777f4225,
'dim': 0x563728df0fdd90631ac1e51258e2857d,
'eim': 0xfcbef5d8ac4993b1562f9f5e15d0ada4,
'fim': 0x3eecdb19eca9c1fd5d7ec39b71617019,
'gim': 0xda3e07e8edb2eaa315e8c7a7af7ad03e,
'him': 0x664d242a7528bf4230386c9ac1a437f8,
'iim': 0xd78c060f6347e344f51a6ca296c8416b,
'jim': 0x5e027396789a18c37aeda616e3d7991b,
'kim': 0xfb1eaf2bd9f2a7013602be235c305e7a,
'lim': 0x499e0d7e3f2f15a72fb4d114388bcb0a,
'mim': 0x8e7f86260c88346052cadd7d68514184,
'nim': 0x51aaf9dbcf1c573b12b329a5668ec05a,
'oim': 0xd96deb3227838e313971c94fa78eeee8,
'pim': 0x8c4db68ff02f4fa64ef6cddb12e69072,
'qim': 0x1ecd320d1c04ff1747b716f8c10fb0b8,
'rim': 0x36dfa7baee39ab2ea3d2e226a5f00c52,
'sim': 0xe9064b74d28acc053231170bb8c858b3,
'tim': 0xb15d47e99831ee63e3f47cf3d4478e9a,
'uim': 0xd1065563a0ca2c814b0b7037445a603f,
'vim': 0xf898198629bb686f1dfc3d1ac8b13506,
'wim': 0x874e1de3766969edaa069f98aa2e6f11,
'xim': 0x009b9849559671be95141fc3a5ec6c55,
'yim': 0xb267562f4175e137ab7ae4b9465e3314,
'zim': 0xdc0a993e43feeb583954acac26da52dd,
'ajm': 0xf4330945803ff0f8b581b5bdbc459ee0,
'bjm': 0xfaba3e98e029c12e6e50b3c442a4afc8,
'cjm': 0x95a601fa7ed200a8d3629ccef938ba4f,
'djm': 0x55e4b2a6201be8555b56827dd6efcac3,
'ejm': 0x7ea396786dca23cd2888510a935988d9,
'fjm': 0x7db0224afa957bf04b573c9346a33882,
'gjm': 0xd9c94ffffffa698accf2ac91ab61e1ca,
'hjm': 0xa2ad0bb0a2cdaead866f1166ad6adb9a,
'ijm': 0xc93d0b30e6bc9b6f4221fcaa4726bf55,
'jjm': 0x4e35703686d8768b080cc7427b68940c,
'kjm': 0x20dc3ccfb75c8c0625c21f3c7066a160,
'ljm': 0x099b8a247543f5b74c59f2612e20d4db,
'mjm': 0x2f52919d096cfcd63b631c2808080854,
'njm': 0xe6b81fc2277cc4ebc2e09f9ec378bf52,
'ojm': 0x239dc3ac00f749525d2acd4d7811c48f,
'pjm': 0xa3c9e7ef3b4329d2077a62394a2ce884,
'qjm': 0xdd61676a1f9431f4cb294774d0dd6403,
'rjm': 0x50432ae983e6cda615525bbb65321b0a,
'sjm': 0xe4d8b0fd1e3bbfa8c38486b9f6aba0b0,
'tjm': 0x0a7a388fb0a892fc4ab055a1691eb90f,
'ujm': 0x977cbeefdf0561f02cfb1720bd3153cc,
'vjm': 0xe92c8bfd7120408346c8f9bf912a52d6,
'wjm': 0xdb945bee77209348db6c1921ae537aa0,
'xjm': 0xc2bd16b65094ae96df8cacc67d8526e9,
'yjm': 0xe09a97391f2f8e1cf98c192c7a1c093e,
'zjm': 0x63c001649527357fde5970c4688b9ee5,
'akm': 0xc6a7d2c304e4c34d720c900db714fa40,
'bkm': 0xad25914c3f825614df4591d22921f970,
'ckm': 0x574e2f69c9e64da5b46ff85d8d12f01d,
'dkm': 0x152110891a7ba3ebb92ff89225afce3d,
'ekm': 0xc4c0ee3a2e237bb7ed539604b18629bb,
'fkm': 0xf628f757dd5ce774425e8a2b40ed8003,
'gkm': 0x97d119e92f570e63d9ef016d6488fb91,
'hkm': 0xf8f782fb6bd0f7cd5082a1bfa1b92ac2,
'ikm': 0x95d411d4555970f98cd4aa0ee41e4c1a,
'jkm': 0x35026e19814e32ec84915896555f72fa,
'kkm': 0x4c4c62c41d067ae024ab441daa6bb2cf,
'lkm': 0xf72f6bc7b9a6a6b3f8ec0a9aec39c097,
'mkm': 0x5465c752d80e308e8efe81d1416a38d1,
'nkm': 0x0ef8bff49446d91676536249e8e0faa9,
'okm': 0xb0bcae18e34a2c88146c298de0a6495e,
'pkm': 0x0eeb040f578112b0406d7cb2fd991d47,
'qkm': 0x1924e8be3761cc3abbb596d464499fed,
'rkm': 0x03830f2f57d0d7b885c3b4dbc2e625f8,
'skm': 0xd7393767a71271956f24cdc608b70688,
'tkm': 0x07df82b0963bd280ffea6f97d07f7e46,
'ukm': 0xe530f0bdad294cb3581855e5f839a8c0,
'vkm': 0xa53535474824a962067016b6592b2f88,
'wkm': 0xf31e337d2c94a2a6c53573498711661d,
'xkm': 0xeb8a2a8b2785160a3312e3810112ca56,
'ykm': 0x8a36b7002d856bf15a500d93ef7e0b1f,
'zkm': 0x77025d12ce6c133a35d0634fc998094c,
'alm': 0xa556e81e187bce6f3718c2fc19a051d9,
'blm': 0x66ca4e6e789bb1adaa03b647781f86c0,
'clm': 0x2506503fad84d714cf17d262244bb709,
'dlm': 0x5e9ea02b8c8f2a518cc3baf511c6a83b,
'elm': 0x9d409b75625b18c4fefcf7486f3f2e2a,
'flm': 0x4233c98bed01420f82087ec799d7077f,
'glm': 0x37cbb7bcf13982de0bd787702c642dbf,
'hlm': 0x95d936f124af05ac385691acf0165549,
'ilm': 0x9eef4856be3cd9a38cf2305172624fe3,
'jlm': 0x24652b8a3406d9c552e90a742dc1a4ad,
'klm': 0x3491f0dc1059a35bb1681b3bd67cb0d5,
'llm': 0xdae1be85dab3650eb56b87c4e3390387,
'mlm': 0xf59ec041772926a34e142c16940cac1b,
'nlm': 0x289cfed0541b56f13fc60af004b8814a,
'olm': 0x417fdd822daffa6a09872ff90a8ae4e2,
'plm': 0xf1f501c2c23fea8dfb0fe1af25b879d1,
'qlm': 0x8698880ae3580267ae09fa2a262fd076,
'rlm': 0xd576cfe2d8b06e5a48bed07eec9cf949,
'slm': 0x75361f30a6a14a05b8bacf8d79803f31,
'tlm': 0x63d266506383ed9b4152479c1777cef9,
'ulm': 0xe90c98c36185bafbff8914c55feb149f,
'vlm': 0x6ad5b816c9f3cbe5103970918155a0c5,
'wlm': 0x4e8fb1745ac38bd452eaf946c55343dc,
'xlm': 0xfac178d584386a5b9471a65c52389ad5,
'ylm': 0xf5f686f10816b5ad17dc9cfd8d947c0e,
'zlm': 0x2df8105a4b2e71b62a205d76dd269ae7,
'amm': 0xce6e4bf499ee49f76d6ce2eb5a3115d6,
'bmm': 0xebe8bdd53b9c99d87dca0e5d36510036,
'cmm': 0x395a1b4f371be78e7078ad92362e1c83,
'dmm': 0x340d70f50a7a4507bc874c8108bb45bc,
'emm': 0x7b44298a77d1a902416de89214c4a96b,
'fmm': 0x45b5b81c8e2420a7aac2ff1c475711f6,
'gmm': 0xbf11722fb797d25e6af3c9e8ecb6a3b9,
'hmm': 0xa5175faf6dc24adc7eda4f9cfc721b47,
'imm': 0xa9c69f2215acca631d4656a30b52db93,
'jmm': 0x6e8c19b0ca409458f47c0bca4630ab11,
'kmm': 0x9332256b50468e6c9c462f45f52600e4,
'lmm': 0x09e2c0eab4e2ef27af2dec0e5fe17c23,
'mmm': 0xc4efd5020cb49b9d3257ffa0fbccc0ae,
'nmm': 0xfd61bea7b915c34d8aafd2a551e0d6c6,
'omm': 0xda582a3883324445f7cb5879c293ed22,
'pmm': 0x7a11e2e651eba657fa3c9737972ac371,
'qmm': 0xb92c83187031cf45f7c7c7efa645733f,
'rmm': 0x5b7a133ab395ae4bcff512b9f77db9c5,
'smm': 0x68007ca905924c65d5b0dd76f91ea63f,
'tmm': 0x1ff4ef142c491de35413426f52f1f096,
'umm': 0x218e09bf3b85f3e71a48dcc56c2d31ee,
'vmm': 0x8e91fa94a50a4248b3a837eed98de4a2,
'wmm': 0xbcfcda141f39cff792d1de4c8fc9bf51,
'xmm': 0xc0c3d6a88dbeebce81a922eea60487b3,
'ymm': 0x767621b29afd2636bec26c57d24c0b2d,
'zmm': 0xb9766159f383526eaa0879c331e953a0,
'anm': 0x4d36bbb707be4bbc97fd28af68c1fbfd,
'bnm': 0xbd93b91d4a5e9a7a5fcd1fad5b9cb999,
'cnm': 0xbf21a14d8b0eb60f8b95ae0df61162b8,
'dnm': 0xb3abcead6332c68d1a39d291bd7788db,
'enm': 0x36ad48fcfb0548fff8271387d883718c,
'fnm': 0xb3e3da0c87d5c425c242968b3cd91a69,
'gnm': 0xe61d5c61e0d448d27234f3527e05bd3a,
'hnm': 0x33bb2e62947fcac530258d5d61596f3f,
'inm': 0x7ca0c3612d976df8a9c929a630806157,
'jnm': 0x1034e7a7fee591dad4cf01bf89ce8fa1,
'knm': 0x556767353523f529a972d77f8d59b172,
'lnm': 0x2d7ed64f26d2574033d2cb4577540564,
'mnm': 0xc3d6ebaec84ae7a23309342eb5d6b225,
'nnm': 0xbf84f722e7d45e7c8bf4f1d2fb440093,
'onm': 0xc9e936db3865680915db9fef0123d8f2,
'pnm': 0x447a1052a85d850a3c7f7d0729b055e1,
'qnm': 0xbf031f9a01b7ab0bbc1b71a071742984,
'rnm': 0xa9daab1fe1a658b04d85bb6a93ceb000,
'snm': 0x49878439e73c29faa6b19ab9a2f00d9e,
'tnm': 0xa651a63a9eb8cb8d9b3b2b43046af321,
'unm': 0x7ea01c6cc4753f4779a2d81441fa5c0d,
'vnm': 0xbde14b7fa51c0513c9d7f6bb628036b1,
'wnm': 0x374b1e3e0225078b92fc9b94aed447bd,
'xnm': 0xf4a0d82ace031c1a84d314980ac82692,
'ynm': 0x449dc3f9e7872696d99c8b8dc66e89b4,
'znm': 0xdd171117ecacc7162e896364ca8353fc,
'aom': 0x8fe64291c0fa7e9be8385dcae9285fec,
'bom': 0xe2e6c938b1ba54909ea0b0952235bfaa,
'com': 0x4d236d9a2d102c5fe6ad1c50da4bec50,
'dom': 0xdd988cfd769c9f7fbd795a0f5da8e751,
'eom': 0x9fe9245f628fd735e094285801ef2c36,
'fom': 0x3b948bd152e89c741213a2b41fd85f67,
'gom': 0xa1cc8d8f4f1cf0ff9bb6753a030fb1b7,
'hom': 0x269c8d954ef79b0c5df6e16f70b70591,
'iom': 0x85df6983e2f4d18dcb097a2a53bd9e40,
'jom': 0xd4778a7f5b6a23a1bbcfe643565cefbd,
'kom': 0x17e65284428221c090fb6624d05f4102,
'lom': 0x8493a4e8e4662fce2ac8e3b103fcefb0,
'mom': 0xbd1d7b0809e4b4ee9ca307aa5308ea6f,
'nom': 0xaee37c30f5d091a495526f636a3527bb,
'oom': 0xb64777a1172ff4005ed6cde9b70d7ca3,
'pom': 0x03806f268e34cf63ef9440ae24cf4580,
'qom': 0xdfb899965e6f2653786146801e32f398,
'rom': 0x5f397a1e588cfe96b4aa4bab7a5b1d44,
'som': 0x8b67fdb219b633dbc3369758651dc9f9,
'tom': 0x34b7da764b21d298ef307d04d8152dc5,
'uom': 0x1ec6fa0eb3a50eef606beaf68608a981,
'vom': 0x9c92413d5f9ccd620e3ea70ee918e001,
'wom': 0x57a124d4485dc56a6b572f8849685950,
'xom': 0xbf4efabe81faadd6b1af5769b6a08216,
'yom': 0x3e699674ab3df46f91393e8c28ce817c,
'zom': 0x189cb858653ad61cb4b64587be45b7fd,
'apm': 0xf7da92dee5768f827533bb5a30d353ef,
'bpm': 0x2dc4e4a6fbeab8a7f828efa9aec7d7ad,
'cpm': 0x4430671a90eb2985b57a0bbf5d6b85fc,
'dpm': 0x49677814b41e9ff6cdc497c85472a4ac,
'epm': 0x2f0345f5824f4cce26201f4b74fb7014,
'fpm': 0xd172fc6c98a3636e4549cf5ce8228ad4,
'gpm': 0xe96e9ae011f66360f6b334de29435a35,
'hpm': 0xf0e0d3695786719982f3f65f78e73103,
'ipm': 0xf2f4e964f79d05675528fb34fe16ff93,
'jpm': 0x6438b9bd2ab3c40a10fac35eea175637,
'kpm': 0x1815c0d9a3e1c713671ad6c9c9dbe9f7,
'lpm': 0xcd0c321f9890a2ca4e4fadeacde8726d,
'mpm': 0x6b9f893f526fef95aae04d527b862084,
'npm': 0xbb30e85411b56df41296726ab445dc8f,
'opm': 0x3f3fad9a74e5ddb24a3e6bf56999cbf6,
'ppm': 0xa06e2d2a6164447fcb3aca27b61afd34,
'qpm': 0x2da2163d205775242611a3099142516b,
'rpm': 0x455385f5d8493917cb83541909b7cfa9,
'spm': 0x51762626b4f785729159fd35eea74deb,
'tpm': 0x6e053d298ab2fe4bc4326c56f4cbe649,
'upm': 0x287aefcf7af1a0d89bc7c914a00804b1,
'vpm': 0x1cb0ef556e82af4c8dbb4a743245058a,
'wpm': 0x681eea918f930a0fd546cf444a35b0e4,
'xpm': 0x2cb45657bda5decf6216a404438f0066,
'ypm': 0xf3efb8fd8d00bf5cae7ddb48fb8aa5ca,
'zpm': 0x634c5776e5b15998cbc4efed23556179,
'aqm': 0x31906db4e9ec18dd62dda18eb8c6d184,
'bqm': 0xad4a8fa5168e48ab02867344784b6782,
'cqm': 0x1bcaba28c815485c2219b71cb4201eff,
'dqm': 0xc4eb03fe23fb9cdc5b8ffe9accef54c2,
'eqm': 0x80303cb519526370aea2d8050092dcdf,
'fqm': 0x848035cf3307f1a4b424103bcbe9f791,
'gqm': 0xf8325d4b66a2662f3e2efd9fa6a38812,
'hqm': 0xeb14e215435170b2a292ee93a6850025,
'iqm': 0x3d19705f99fd92c1160a5b45bc9cd658,
'jqm': 0x3e3f82061e09ed2cf9f421885aa0fbcd,
'kqm': 0x2f87a597648bdee2f574b2ddd0dc29ec,
'lqm': 0xf6579ef776e0f89cfa775efe8fecf388,
'mqm': 0xb6f2c93599586e2f9caaf8cbdcbf1ad7,
'nqm': 0xf8f096c3bb5834b64b492d3afdee3af5,
'oqm': 0xe9aa759da731055db7549694e6b01813,
'pqm': 0x4d4c2b5b46b26ab8b0cf4dc83c2c93c2,
'qqm': 0x7782c00f3f7653827e194be46a6b7a18,
'rqm': 0x14e7754f6d7c27598beadaf3df96bd5c,
'sqm': 0xb056a01c4fb2b56f52dd63a4379f051c,
'tqm': 0xcc5d4ce55c7527b55d520efcca27b125,
'uqm': 0xba9c74bd77464d3e82cdc0df4424c707,
'vqm': 0xbe3931ae78b37944d7d5a389144b460c,
'wqm': 0x3e6a0bde82c59b583739e639e4e3bfe2,
'xqm': 0xe9895f0e928289fafefac9c0275a0419,
'yqm': 0x73b257f843a97516fa4de77052a617b0,
'zqm': 0x4d102f42c70a339a8c9721db9557f022,
'arm': 0xf926b3e222d7afee57071b2256839701,
'brm': 0x8d1d049f5fe5e5a04658e6b381c8bf04,
'crm': 0x1fece0cb254f1f45891bc9ee9fed72a9,
'drm': 0x0abf1b964ca65062ac36a5ff6f3820f8,
'erm': 0xd3e5b482609e714465ac95093e248d8f,
'frm': 0x2609344fa76552a3edb5d46040343c73,
'grm': 0x8cf4d375016adafe33c74bcfd663d32e,
'hrm': 0x0ae6717ed4b10a21cfd627685a748a46,
'irm': 0xab3406497a6c3885adac6bcc254835f8,
'jrm': 0xc24bfa3d880cedda3dd593c15be8f8cd,
'krm': 0xef5166365686c5a10baff9fa791d64bf,
'lrm': 0x5e04e1369aacec4aef9cdb89bb31d9f4,
'mrm': 0x3ea225914905c6f3b650ba84bf06bb38,
'nrm': 0xf23636b296d338ce6723373873e8304a,
'orm': 0x51b0b5a943ae2b04076f7a6cb037afd6,
'prm': 0x5a122789379b0d0733bab57433380e02,
'qrm': 0x8afff7417018b8f351b6ce1fb9f2c1c3,
'rrm': 0x322039e05b7d8660f61ce43f9f0611c8,
'srm': 0x3ee9b850c745f9c89b0faecc885980ca,
'trm': 0x17281b46b834719fbadc7a5d58eafbd4,
'urm': 0x53930ed8095062efd157aab47f0a53ae,
'vrm': 0x41a19412b1c25fb060d5e542051f82ae,
'wrm': 0x81bccac225d6fb06c1f1dd3356ad2a88,
'xrm': 0xd9745edfba03b5fa89ba19f2335218ec,
'yrm': 0x6dc3735bcc27e1d246559a4a232fb1a7,
'zrm': 0x338042c7bb02ff50b92cc10420df2cb9,
'asm': 0x7c5cc52fdb69c634bf9c216c1c2d001b,
'bsm': 0xaa134d9ad2fd2f677ea05c7e63323e9e,
'csm': 0xb4f8b027877dd73de5654b8def971c04,
'dsm': 0x1e78ff5eb56f7b5abd86c9ec674ed981,
'esm': 0x6e0920aaa21c79b11d39c7ee963ca5a2,
'fsm': 0x61715aca53dcd6265ea3e21e58fbb156,
'gsm': 0x0dbecd260563fcb60df7a96236926f0c,
'hsm': 0x75bc08308363144baf3b29af7c580e0b,
'ism': 0x4b84c266f8d8e99113129141357d02e8,
'jsm': 0x541e9cae763f4d68c7b0213caae71489,
'ksm': 0x2e242b44ce0ebe39f93a9d810adfadca,
'lsm': 0x32c0e8a1f06cda80353f0001347a2e2f,
'msm': 0xf58ff891333ec9048109908d5f720903,
'nsm': 0xc3d38f5a4baa830cb019c3836c4c570d,
'osm': 0x3a6f249d97ff4e63d73c5bcba782d885,
'psm': 0x7d56dcb370d296c12a02093a80702403,
'qsm': 0xbbb7c395c9a02fcde0a409780b4eeca9,
'rsm': 0x39d255582e7d35a14ddc3ff096d946fa,
'ssm': 0x078aab7ae8c1a0df339ac8525790d5e1,
'tsm': 0x35f0239b2449d5a7c3098817b85129ec,
'usm': 0x81e61a0cab904f0e620dd3226f7f6582,
'vsm': 0x022f238984fe564364b887c644f9d57c,
'wsm': 0xbdbf54e4869762318a2d86c05409300f,
'xsm': 0xe55a73427976620b632b59969da514a8,
'ysm': 0x9e64e2c2df149d1c6919042c958073ea,
'zsm': 0xfb809197726dc3f4e2cb87cbc4c346f0,
'atm': 0x5d8f94598af1b5110c615f34697fe502,
'btm': 0x0822bfbaf739793e74b46942932621ad,
'ctm': 0x06a92d444f803bcd723da6adc29d4029,
'dtm': 0xe7c0596d00d6d1d17e64d6547cd732cf,
'etm': 0x1c566f8b6267a93141bcf9d7518a3d5f,
'ftm': 0x0ca5aaa5f0c9217e6f45fe1d109c24fa,
'gtm': 0xccdd0722ef36d7096a20a9886ecec09e,
'htm': 0x605c21d571d96c2eba183c08166f5280,
'itm': 0xe0a30ac283dff16147fd7dfb7ee4cec4,
'jtm': 0xc04e12296601713cdcf8c7501494e027,
'ktm': 0xa02c31f256c5f68bcc211dac393fcb49,
'ltm': 0xa2f3e9a3316400d963b04461378df7f5,
'mtm': 0x09321b8d5a296ad4613d6618091ed098,
'ntm': 0xca604076b67989e3973eaa2ec679d022,
'otm': 0xb77ba8e8c4ca36ba7228316bce4b5ebc,
'ptm': 0xfea7d3777160dc607f527d769af42953,
'qtm': 0x24b99ff272a700fdca4dea8c075a68f6,
'rtm': 0xd70aa561de134b4f64f5120e90c7bdad,
'stm': 0x0e0fd492aa6247f68aeacfb1f00ecda8,
'ttm': 0x897d3217598a39a704a14d3579996abf,
'utm': 0xb32d6491ce03dd4e6c877f3bfd9ff07e,
'vtm': 0x416daca287da10f9c19156f9680f31dd,
'wtm': 0xfcba3f5e6a9d9d343bf46ddd371b0dae,
'xtm': 0x6e7baa68eebf7f2880193e3801708c7d,
'ytm': 0x730e21f5fff61d4467c6ebfdf423bcd0,
'ztm': 0xc72996e26fe650603d7b67bda1ab7d2d,
'aum': 0xd4bf664df6e52bc8b95f888d5313de1e,
'bum': 0x62552feb96cabdb632095611d79f0420,
'cum': 0xefde81f569ccb7211e56a522b8b55e5b,
'dum': 0xf36178feffc1db4b9b724cecc7aff581,
'eum': 0xdd73e86c9fe114b320f834d644efdc97,
'fum': 0x448679359e1c1af2c5a5175508713ea8,
'gum': 0x79a7b1f0b4044985f75e8a83533608f2,
'hum': 0x98858152b109f361d6a7324615da8c1f,
'ium': 0xacf216b5b2cbdb26d71a7796986ea910,
'jum': 0xb74c873c157a99278ae689fa9bdafce0,
'kum': 0x514fdcc9dc8f44fdf7ec5328ec2d97ad,
'lum': 0x8fc667f98b294b018dd179dda5a3bb2b,
'mum': 0x63cd0b85fb56ae8cc6496c1d56599ebc,
'num': 0x0fc3cfbc27e91ea60a787de13dae3e3c,
'oum': 0x7833fadc93006bebb9d381ad8e891c66,
'pum': 0xb5b49f1f3dd5defbe7729ac194012688,
'qum': 0x2d1c320164397efed91aafb19752ebda,
'rum': 0x6845b7dc0f2f049ef0bd30a83292a969,
'sum': 0x1d623b89683f9ce4e074de1676d12416,
'tum': 0xdc802ca9ea421d0eff004f467a45ccd6,
'uum': 0xca53587d1753096decf987b9d3d8df2c,
'vum': 0x71ee0e66eae593c69cc9f1ce548db5d3,
'wum': 0xe2f454640ac76d5e894428bf90610c47,
'xum': 0xa8bc0a253a7b8a6d7f8f3284f1018534,
'yum': 0x1de0b4f0d139f781b3b4de87edb4de70,
'zum': 0x4c0ad120ff2ae52918da6a285ecc4d6e,
'avm': 0xe3c15682b5713541370ebd1449238607,
'bvm': 0x707625dca14cef0101e35a806ebcbf5f,
'cvm': 0xda807d7286e965c6efd70508b350dc6d,
'dvm': 0x40373fb1f9be5964aea30106bad7caf5,
'evm': 0xa892c55cd0278b6a962a708044da8625,
'fvm': 0xeb2db45996e4bb59663462dec475e3dc,
'gvm': 0x44d7f247787b4cb74ff506df67df06bf,
'hvm': 0xe2f5b81279e1642c0a23ed025f4f4d08,
'ivm': 0x70c5dea1a2d742c7f6e67cd6dd4bcefd,
'jvm': 0x6ce80d8ef01f5e98f941f200bba3baee,
'kvm': 0xcf3382370fd88094d1fc3293fe044901,
'lvm': 0xeba0b38f08261bb774b05a5e2819b0b2,
'mvm': 0x09f95194dd1c222b79b5b78add7f9d55,
'nvm': 0x9f9ce6306b427565f1503f0556d603fb,
'ovm': 0x455aa820d86d5defeface9d3937232fa,
'pvm': 0xf60f9447577522bc3e986da3dd76edb0,
'qvm': 0x6e8c6fe0def2b659da54b0f816de5e49,
'rvm': 0x2de3c5e2b42fef7210035a029263059d,
'svm': 0x924ff83ff1e671bacfb07ff12b845703,
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'len': 0xf5a8e923f8cd24b56b3bab32358cc58a,
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'dfn': 0xe8b3960cfd62fcdfe796b3afe8aff0a4,
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'hfn': 0x84fe9cd689a556584a3c0f65b7e6917f,
'ifn': 0xd42e35477dc373eb5efa4e56cc657c2f,
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'kfn': 0xa2040371690a483c6dda0f2608749a14,
'lfn': 0x45835bbf23d26719f1472fdebf47443c,
'mfn': 0xaa20b9ac28319c010aebf66b3532e4f4,
'nfn': 0x9626e4872bf9395dc31e0ff0087c85b2,
'ofn': 0x9dbd1a52262a93972a6d2748a90fb3a1,
'pfn': 0x9f83704fe905891fccf57704da629293,
'qfn': 0xc1145e308a0a881acc365b352ff623c3,
'rfn': 0x9011e76487e508a4bc1e106cb2dfefcb,
'sfn': 0x6c6765b3bd572c5800e3262a5c1847d5,
'tfn': 0x756ab08ff0556a3db28a433e1264d987,
'ufn': 0x63b89031bca1fff2af711351375a5ce4,
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'wfn': 0xee510015f6b6800a49f0389c3aafc779,
'xfn': 0x8051dbbaed65b6c71cd9d89eb896a693,
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'zfn': 0xe181a4f856d8f0b6fb9d7f065d06f919,
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'dgn': 0xcf34f7571f2d48c7c04751ba05bf121d,
'egn': 0x3915e1e41b94c9fd5abbda56a32d257d,
'fgn': 0x4a99883d3a0890b91ef40469f057104d,
'ggn': 0xf7d754e1358e4c808a7299ab820785c5,
'hgn': 0xbc658ef8eaf72e6ba22d3566a431ad6e,
'ign': 0x44c1db397f99b875a442fef977d49812,
'jgn': 0x86386413e413dbf1324847e14a4b6be0,
'kgn': 0xbc60db3d872c015d22c697ae6bf6905c,
'lgn': 0xb7e5f61ae77a44a7f17a7a47af3aa62b,
'mgn': 0xa5ffe5487f62ef75d8e5cf78c18525a5,
'ngn': 0xcc244fc0c594808123b8b4832da49e3d,
'ogn': 0xb6ad72a94213a57667f10e14bb7bbabf,
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'qgn': 0x17ee9e9e9ed7e442c73936f52d1d1e07,
'rgn': 0x13f97b02f7e4f2c9d35ec1af3c201dad,
'sgn': 0x79ac57b9275f4dabb71a5e815554b469,
'tgn': 0x0679775154cadb0cacd4c692cc40b332,
'ugn': 0x0208e4f4df9b3c0202a821646d46f0a4,
'vgn': 0xf542a89f25dbc41830f857085f5620c5,
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'xgn': 0x4bc8fdb473dca9564513a39ae99f0ed3,
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'ehn': 0xda4666406b178680def8c406b1346464,
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'ein': 0xffef75ef03094771fb011905bf579fdb,
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'zrn': 0xb40d9c2242d872a1966e8d21a9e43bfb,
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'fsn': 0x9d61ce4a1685ee8b4020746b752956b6,
'gsn': 0xd85cd0c5294f77837e5d9e2c39ba9d56,
'hsn': 0x01c17306aec8a8dd1772c77e25c57daa,
'isn': 0x4f612977b92f8136c448f4cc86222efe,
'jsn': 0x13106a7fa7e7934825375707b35df5bf,
'ksn': 0xc1e7f7a15094e4f06c2ad833b3e1ed12,
'lsn': 0x89b267753b54dd3686f235ab7793d6d4,
'msn': 0x289963eb2755a22c95b8df711d30e609,
'nsn': 0xbda6faa04180e97ef40aaeab44a1fee1,
'osn': 0x711c2cbf1799b8261a354f35b801ef1b,
'psn': 0xcac464deb2b2bd3dc39218b649769f4b,
'qsn': 0xb7c36d33c2cda710d57f908f6d840209,
'rsn': 0xbecdae1671089315cabd8d429edbfbdb,
'ssn': 0xaf26ea236ece5664803814d7b2f0a04d,
'tsn': 0x57895094b7065dd61f288efa5d9e6105,
'usn': 0xdda3497d64689881f42987be8d45beda,
'vsn': 0xc6e26fc65f1a36b2535441514a1ab128,
'wsn': 0x57d44312047f5f7be000f66286b02cd1,
'xsn': 0xcadd74a5e61b16a575236273551e466d,
'ysn': 0x8523600096774479979ec183d6d2e505,
'zsn': 0x354943969700aaa4e8e9f26dad004d9f,
'atn': 0x44bff383cf69a9928abd7ac8b0186340,
'btn': 0xd4f5c2c94881b8db27f83be1703bfbef,
'ctn': 0x02587745dbd71d978954203d7ec78497,
'dtn': 0xc2167a4bab398128621c130f049ad076,
'etn': 0x0b7361cd4dd0c0d762166a8c36709585,
'ftn': 0x098f270a457f304ff35e5363cf248562,
'gtn': 0xb9cd9b73428cda4a83651ad1658b439c,
'htn': 0xedfc7f6a0fc2644009d10758efec13e0,
'itn': 0xfff0e5fc42e03ea2f8c3f122ed33def4,
'jtn': 0x8f77341b623817b3058446690c70dd6d,
'ktn': 0x4136d79861c2787b991b3988cc5fd5d3,
'ltn': 0x9eaaad7398db84e515c9e077dbf07451,
'mtn': 0x62cb1ac486cd58411e3896aa9554cb9c,
'ntn': 0x3cdbc27b0c9c816de68219d0d73e310d,
'otn': 0xab223f6a502b3b3f18831793682c9ad4,
'ptn': 0x2221cf61477a629b44fdf5760bc94821,
'qtn': 0x34c020012fcb01ff0d796fdee750a2f2,
'rtn': 0xa1ddc56bf1413a90046522963aaf37ab,
'stn': 0x1165dbc83b4b66e5899dd280dcbedf86,
'ttn': 0x828bc84901a9456cc7993734f1972e51,
'utn': 0x419b2c341980aefddd47b961d04833f8,
'vtn': 0xb98ac0baf9d5adcc2dc9c0885c8cdd02,
'wtn': 0xa978fd3c5d9c2b64021e72d2865d7db8,
'xtn': 0x7b588a3c40c5d43be78906c74b9f56a8,
'ytn': 0x4213cb3a26dfdbc940164d3511a29b8f,
'ztn': 0x2317362743a7554f0e110112dfee6e3e,
'aun': 0x17dac098de19f24beb0f6540e0c9f09e,
'bun': 0x93aced76e8e70b113e0162fbe96788a6,
'cun': 0x343dd85de18b3e3fed5494020e601a45,
'dun': 0xb89d9cbe507a01c3b78cba67642f2ba2,
'eun': 0xe8789016e2f38144e314055e49156e79,
'fun': 0x77004ea213d5fc71acf74a8c9c6795fb,
'gun': 0x5161ebb0cce4b7987ba8b6935d60a180,
'hun': 0xfe1b3b54fde5b24bb40f22cdd621f5d0,
'iun': 0xb363ca3b52222ed6c6cc6b1d2df18762,
'jun': 0x6b5843ce9d2d0599c3e3ce6d59c1551f,
'kun': 0x51711d3cb95945007b827cb703fcf398,
'lun': 0x03628ea331120176369891df319619e8,
'mun': 0x6585f290ce92c3de5ff339920330e26f,
'nun': 0x0fd7a44fdd13ad881b07c0446d857a1a,
'oun': 0x83059a5a2ee38c7f6a6dff7d0edafd89,
'pun': 0xe950d3a08eed4467ba0ab10120a83a65,
'qun': 0x8d608533a82b029ea828bb8c0d89727c,
'run': 0xa53108f7543b75adbb34afc035d4cdf6,
'sun': 0xebd556e6dfc99dbed29675ce1c6c68e5,
'tun': 0x842e1d0c0e58780bb0bbad5306b58856,
'uun': 0x923fbf40785ce02b72f85ab1d075c24d,
'vun': 0x19c5a809ce682b3553e913c9fd5007e3,
'wun': 0x95c54a882fe60bcb1ad3ab17f2abe499,
'xun': 0x07b962f39c8b6f561294c1adfc6a3b6f,
'yun': 0x5f1d65f27e370c36dfd845f6dc78b869,
'zun': 0xe439749ff9d63e3d336f057bd23d88b6,
'avn': 0xa9460a7088f0e9d34b930e907f656974,
'bvn': 0xa08b2c27a45a44d273f4252bbe7b7e3b,
'cvn': 0x0a516289150443ca820643c0ea289e3a,
'dvn': 0xe0edb10a84e269826a638cf87f79f414,
'evn': 0xa21fa7c67f26f6d49a20c2c515fb7a59,
'fvn': 0x61f02c0a093c1c270fec39aa14a3140e,
'gvn': 0xd03e4c39d387a74e2c99c8e477d5e182,
'hvn': 0x5472ed1a68b60250b485f333d16315e0,
'ivn': 0x396197fdcc7810cf7b5e56c54f298da5,
'jvn': 0xe2bd4f48ef6667ad18b60c1e8f34deb7,
'kvn': 0x704e06d2cacdcc573faaebfbfdf18f19,
'lvn': 0x0c42e348017394e0248698e6728ff994,
'mvn': 0x67c9500deb0863c5a8faa70b245d939d,
'nvn': 0x3bb8c28ccff4138ef47d3c895849ca3c,
'ovn': 0x85aff5c95ab015afa7267279a52bdd83,
'pvn': 0x573c1393f9ae71a194878ea05b9d5e96,
'qvn': 0x4793450d0491e0a52c49c089215e9f8a,
'rvn': 0x7f16b79669248f9c60a56f597ea71fe5,
'svn': 0xaf04a1aa0e00f476768e6030957aaaee,
'tvn': 0x441a1754ea7709febd9371cbe8e41d93,
'uvn': 0x6a92745c7d2d4cb5d4beb05a18fbac02,
'vvn': 0xd7d65b5e67d5acb21d135aecdfaf396a,
'wvn': 0x2d4898af7c620d930cce5ef06f46cc17,
'xvn': 0xf371b5ea2e4a148464e66ab16886e339,
'yvn': 0x3d7509266988ef8dabf6b4d19afb0755,
'zvn': 0x34656848afc18f372054c3bc81c69779,
'awn': 0xcc6e79391434f01a9ec9b080c127a1b4,
'bwn': 0x6586f3db547859ca624fce18cbd4ec00,
'cwn': 0x42baa0c9b941903688ebf348878373b3,
'dwn': 0x07bad5311d5108d4fbd19b9cae6615a1,
'ewn': 0x07fbb87dc46bbecb3230d0c0a32906a6,
'fwn': 0x0c3fd7a0a32a92191711c6dd5cf72020,
'gwn': 0xf3cd1b71a393128f3e5d6b975bb4c2a1,
'hwn': 0x9aba84e29db37ae826383ac1ed89b1a1,
'iwn': 0x6816a0dba96924ee3ffe9b769ae9ec50,
'jwn': 0x942c77e36ec6309f9ed67db451af1e06,
'kwn': 0x90a271ac8400aa7f57b5e81148322e86,
'lwn': 0x1638dc3609ef47c115058165e38453d8,
'mwn': 0xec7e50bbcabc0e2b625564252c043497,
'nwn': 0xc147c861244b4bc3b1ec5213c25bfc75,
'own': 0xb515e18aa3fbe7d264d7ca5a95ef73e1,
'pwn': 0xe4a25f7b052442a076b02ee9a1818d2e,
'qwn': 0x49b8055a8a231b294565888f2bf20334,
'rwn': 0x03736955985725e152ae7c6fa979555e,
'swn': 0x90a2e8e77b5b13a56f31ada5ebea6de1,
'twn': 0xe84c571d92147b7a299976b4477d04af,
'uwn': 0x4081413e96aef792948f1e53a44c0855,
'vwn': 0x964198cee40b2c3a8f78c1c0c7113039,
'wwn': 0xe98d0fd89b5d30f49a3fa0297cc90882,
'xwn': 0x5d3dc213299866452a5d4bec09fbe345,
'ywn': 0xe653a5a6963c6bc8f5e254bcf788400b,
'zwn': 0x5ad5e7aa5d7dbcb710191e0f96ca9104,
'axn': 0x625fa0bfdb706073072b1d52884d47c6,
'bxn': 0xa245e22ff11b859c05fd9a10158ba375,
'cxn': 0xb48f5346f7a8ffdd57b1ab8be5bd51a0,
'dxn': 0x17558493a4975d129bf5c6b6510861cb,
'exn': 0x36d2389e97b04baa0d4045074d023280,
'fxn': 0x08b51f282d167b13f9630b4e9fd79b9d,
'gxn': 0x0461268ae8e78b98509dd7c47b9d67d1,
'hxn': 0xd50615d35e3d84c6ab5cb3136c34a6ae,
'ixn': 0x6c0718010696856cc017ed08fd37849f,
'jxn': 0xfdc20d9fd23fad6fd2b335855d7f1535,
'kxn': 0xfa487c847c9069adf3315b5914b8ed59,
'lxn': 0x12a25252d2be6ff545d961a48b8034b9,
'mxn': 0xd032e3046bf6c631ea86b8b4bdf2c91f,
'nxn': 0xa5fb28bacb7a089c066a495d30acb421,
'oxn': 0xff288df43c7d984eb600cdc29d91265f,
'pxn': 0xfca9ccaccadcb21ac9f2620861c5c262,
'qxn': 0xd7808126277d04d7bbe3108738fd3fd3,
'rxn': 0xc48124406402926144fc9595ef725e18,
'sxn': 0x7e1b37a8da8df854ef26a8e0cf6317f6,
'txn': 0xe45229a5f4ff5b90103c8eb1b03eac34,
'uxn': 0x554d3fa09758782173cbf2dbad88a9a3,
'vxn': 0xd8a996eb7fd3f7e891108689427e9925,
'wxn': 0x07353b353b2dc1639ca19c5cf048414a,
'xxn': 0xce4ed903a85d90915ff0eaa1bbfd7a96,
'yxn': 0xb63f486162a5791ad43c022f3ee0c897,
'zxn': 0xf3ff20c49fdf31a73dd89ffb9dfa521a,
'ayn': 0x9b559a398b50b2c2f3673613c3a8310a,
'byn': 0xb9534281a23b59ed18a838dbce072a00,
'cyn': 0x5beedb2de26da65b5d3bae7eea82283a,
'dyn': 0xd75ab2ecadfed7b6ea772f152b4fb4dc,
'eyn': 0x27e315101a64318ca08731cfb8f012b4,
'fyn': 0x9854682d71fdb60a819d9188a846f42d,
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'hyn': 0xed7e26b70229a6b55145397a094e9513,
'iyn': 0xa576db05f1eb6faa7d1fede865a20409,
'jyn': 0x2f1857737fb6cff2a293b9da4da50755,
'kyn': 0x5eef2eab7100d7a5092d75039b836640,
'lyn': 0x9ac661074ffe94bdc10e9a29a1676ca0,
'myn': 0x3070910e4d327805abcc9a4c93566a71,
'nyn': 0xc467ad3449242d8bf06ce13acdf81ce3,
'oyn': 0x9983ae9e162e8951d759247663354bea,
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'qyn': 0xaeab884e423b7c0fdf9c26ede803acc9,
'ryn': 0x5b5f70590c15568e20b1f295edbeba7e,
'syn': 0xd726760b0467b77803d6d1f3585deb6e,
'tyn': 0x4f30c3275c2e151fce1f2ec326eb5313,
'uyn': 0x2237f1ca05c83b94a5ec4c9332bb3bfd,
'vyn': 0x23143b25101e230e531c59ee0d50c581,
'wyn': 0x5a4dcbfb755e58a25ece0cd53ffebde0,
'xyn': 0xa743944e5ab343d7dcdab0bf4c065ce2,
'yyn': 0x23063c72e4bc01871069fc229872a594,
'zyn': 0x2416a6208e53ed5246075e76f1d87896,
'azn': 0x484f23b9cec22e55f49f51de5fb44df1,
'bzn': 0xfeea41da49aa2f9b86d0730e3ef26c0b,
'czn': 0xf0e74986038d75bcb094682d5c7a6b3a,
'dzn': 0x79d725f22d7c5b628920d8914305dcd9,
'ezn': 0x39c9535d2dd6d326a58919c91f7746d3,
'fzn': 0x171714bd530e84d9605ea5b407267177,
'gzn': 0x41dfee1995908e5d6487073c9f8dd428,
'hzn': 0xa8b15c8aae4e6e2ce35dc1a8b0cc59de,
'izn': 0x53ee879cbca545183cfb14251d8f9cdb,
'jzn': 0xfa15250665382328d199a52a36664adc,
'kzn': 0xe81e8789f326cc3d9925e5a2de04e50e,
'lzn': 0x5326376ab53cf14e4527e962e2cf4a79,
'mzn': 0xa262ac585e9d1b8d64ab427fbe12ddf7,
'nzn': 0x86080b0f3c8464151ec0d8b0bbffd0f6,
'ozn': 0xf64e2e54c8ca141a12f63c6e08f943d4,
'pzn': 0x9b755673ae13108bf7d5f117df2e527b,
'qzn': 0xb988a68e390d25ad5f74f4da2e3e3aa0,
'rzn': 0xd47bb849309f65f880881261f7f035da,
'szn': 0x37e7cfad10f84d7bcd379bdd8eca604e,
'tzn': 0xf8a04fc807586f3f5b2e56a83a77b12f,
'uzn': 0xa5d3c7916bcb65a4a12ef667b2f6f892,
'vzn': 0xc149fb1359604b1bc3a43eb4fa3b6913,
'wzn': 0xde6d7d977476f8d028d46c0aa36aaa31,
'xzn': 0xfc901d232813c192e5c4999fe38db962,
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'zzn': 0x36b17792b006d78be8e9c2b1495c4d7c,
'aao': 0x2e9aed06ac37f19e27fe0bc7b1e2f6b4,
'bao': 0xb4e1c6620073acda217d807627a78dae,
'cao': 0x18452d47d97eb0f306c59ae38087fcb0,
'dao': 0xf0719ea8e993ccca9ffca5334b96f546,
'eao': 0x02a423994f9378742495fbe1a91bb343,
'fao': 0xae908e52fc41b704a1dfe3f182a3f702,
'gao': 0xf7174f24d005a88597b07aa36d388adc,
'hao': 0x32791e666fef96b588db16200d5fda94,
'iao': 0x364e4cb41e2b66e3de67c11aa73b8c61,
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'tao': 0x016e73c3c4de5f7c1b1dcf51aceaefc6,
'uao': 0x3f55e57fa340ee56b39dde323ba9209d,
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'zao': 0xb8d6dd03cd9c05342e62fce46510263d,
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'cbo': 0x2af9963ee4b47d5a36d078835bfc579a,
'dbo': 0x2d3964b96900117852ca2bf273e53a82,
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'kbo': 0xb5fe8e8e5410690e6ec70d3762810451,
'lbo': 0x53646153b33b6f53c41e271c29e3a496,
'mbo': 0x95c969997b9dd2f4da2a2c4b268529bc,
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'pbo': 0x3c746f733815e351d3b551af4834ea27,
'qbo': 0x491ac22c8a7426dce5ac2202b6e1de31,
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'sbo': 0xb5f62f4ea93ce9e41d250024c1ef65f4,
'tbo': 0x6a318d1c95f374d3b95e10a008c15562,
'ubo': 0x86da52f5d1befe78775d17b3567c3b0c,
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'xbo': 0xb26bcf0eb3102aec05a2dae3ecedf7d6,
'ybo': 0x10b8361f2afec510e7b1c27aa13aa58b,
'zbo': 0x53fd3186395e24ff424bd58bdf869511,
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'bco': 0x29fb6a42d2932db53df39c8684105f79,
'cco': 0x3c0d3c39a68bf9b8553c773b587f8867,
'dco': 0x2a2a29b669ee482ff1460cb5dc84a334,
'eco': 0xe434dd9c7f573fb03924e0c4d3d44d45,
'fco': 0xa0721c988f589e35a7af39a47a1898e8,
'gco': 0x86748529b0e1ceb8f9e65ad5e259b718,
'hco': 0xe9935ca937c809ae406fa3251b1e56ad,
'ico': 0x65f034c0f853471ed478ceb34164523b,
'jco': 0xd4a5c51809dd0043818e42e15668d728,
'kco': 0xf080ffb60ebaa2270fcf5ff02116fa13,
'lco': 0xc912ca8496feeb832af69841d1241b7c,
'mco': 0x04550849567777e0066578865ddc048e,
'nco': 0x4b83647a6a1778bc9c87ceb211dd7e9d,
'oco': 0x9358677d90052f9d703bd10041ac8349,
'pco': 0x6c832797c67549302b62980d2d490729,
'qco': 0x37a2b56c131fb8caccd6ad9abb2690f6,
'rco': 0x9996d7160ead90605f993f6b14f095dc,
'sco': 0x36fea2d69dee02f2e652937af5156efd,
'tco': 0xb6711e605f676b4b7fd249fe55ac1e64,
'uco': 0xe0bf71cec1f86156612cb993585627e7,
'vco': 0xaf20ae28bf1d35589330d7b68c937229,
'wco': 0xa506f6d7081d4bec35993f3abde56b14,
'xco': 0x64dacea92ecd14557bad01b3a7aea796,
'yco': 0x7493646dc5d20d9d920249fde57faa25,
'zco': 0xe4f57ce3e850ddc0ed11a5cdb7a4df93,
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'bdo': 0x8cb9efb2ba9429ccb928d010e58e21e2,
'cdo': 0xe270be3f83015fc46a9fd7f678e0289b,
'ddo': 0xdf21cc51fb747f57287f6ad92b614785,
'edo': 0xd2d612f72e42577991f4a5936cecbcc0,
'fdo': 0xfe5b78fb1dffd3bbeeb718c07d6af577,
'gdo': 0x667520257228b6b699726d7280e2d76a,
'hdo': 0x1855887359531803275258ef304c7608,
'ido': 0x8a193602d32a8a504465077e16561a92,
'jdo': 0x87aa8bae864632040ed6288846a1d531,
'kdo': 0xd970c4ff926e1d59f8437d485674650f,
'ldo': 0x8d768bba4640bae4a214bf59a047de6b,
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'ndo': 0xa456b778b5db40c6ec2ea0b9dd011f79,
'odo': 0x19b50610c5bdda534173da307f41d5ab,
'pdo': 0xcf66eb5563a602ddc983d03fd906b074,
'qdo': 0x28b0fbf1ccdde518d741293ecc5036a3,
'rdo': 0x70b93b49b07cdb1e318e60ca7547e73e,
'sdo': 0x412b50172b09b39009ec71a14862e873,
'tdo': 0xf7dd607150fbea09c0daa7447d699736,
'udo': 0xe342be854484f3f010c7801174d83be6,
'vdo': 0x0947f2a1758a899c2bb4446bd9d99ec8,
'wdo': 0xc5b14e5b8e64025e8e3681ca976c9343,
'xdo': 0x96f98fb0bebaaf1596bb6cb21aacc0d4,
'ydo': 0xcf8069aa3e4d6a7d823c4e8e92e4b1e5,
'zdo': 0xae00ef5479344424c3656e2e3162592e,
'aeo': 0x17ef1de89a66defbfec45e1b1b56a3c0,
'beo': 0x030723553bff7b61f8edb757befcd5c0,
'ceo': 0x55161575f3e05dfb61145c5d63d67d29,
'deo': 0x94c0eda37f941ed32631d2569f2329df,
'eeo': 0xd995bde7c4c15cad3c04306669211ec7,
'feo': 0x6d5f4bf194187e91e5c83ca8f207b754,
'geo': 0xecc174e3e02c82f34c14fe860bf47ef2,
'heo': 0xbfdb6633ad86a2ba23e1a2b436a844b1,
'ieo': 0xfddfd251a100fc8935ee7fa3aba3362f,
'jeo': 0x4d8d81e3abda21ea855c9663a1027b28,
'keo': 0xe29d5002b3ba250f488b2bd319829ec7,
'leo': 0x0f759dd1ea6c4c76cedc299039ca4f23,
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'neo': 0xcb59608fced567a14b13a6e5c5c8a1d2,
'oeo': 0x944c3237bfb85f6219bf53909dd35c18,
'peo': 0x7cc68017cd27995482bd04adedd529e1,
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'reo': 0x4234a71a276f53c8574031e537d7ec9e,
'seo': 0x20abaf9d15742fcaca2a79b389919b8c,
'teo': 0xe827aa1ed78e96a113182dce12143f9f,
'ueo': 0xcf0e743d1655efa5d264c160e0e72854,
'veo': 0x77c3ccd511c4e8b1ac2919e3f2ee2bf1,
'weo': 0x625d888c025ed27a81fa44724827d0bd,
'xeo': 0x6c2c4c8788c22c78f974d22cd1e03607,
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'zeo': 0x1490fdd61234b3be86e09a89ecd9b0e4,
'afo': 0xd8bf830c53bda7d521fb181d50043972,
'bfo': 0x21e8ab48aef705621e6d8fd8594184ce,
'cfo': 0x12d872a3607f9925da8b73df02dbbfbd,
'dfo': 0xaa11485148ff63d232a9850e5c98a965,
'efo': 0x475b9abbf2fa36351ee30c79f440719b,
'ffo': 0x4bdcec2ee7142a086098809266f1c421,
'gfo': 0x6627e4844f9fdbc00e3d62ed24a3ee3b,
'hfo': 0x1bad0ded3d360ca570d3a6c6e4279bc5,
'ifo': 0x513912c8795ea653069133c2cf986009,
'jfo': 0x637ea37bdd5b0eae1ebf3b15e0e43680,
'kfo': 0x2eebab0c614aa58b7267a0a6775c7b35,
'lfo': 0x952a247102335d722684e232e1070cf5,
'mfo': 0xf14df9e163d1f89f48ad4374f5f0475e,
'nfo': 0x47b10a6182651bbf895aa98f996b70cb,
'ofo': 0x0d3112093ec9d0a16e71d5a67142ecf9,
'pfo': 0x9da1185a04b106de7b8f14fc4cd264ae,
'qfo': 0x3191c07552219ef0e798257efda8b253,
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'sfo': 0x7637f1dd77d2721eea2d59a0d3062974,
'tfo': 0x7ea9c296fcb3e0dd6041aabb3cb07d5e,
'ufo': 0x74f6904bb8dede5f8eaddcc20a2a31ce,
'vfo': 0x5d83479af1756e5fd60e6495d154d624,
'wfo': 0xdd050e21c24969033795fa4169932c1f,
'xfo': 0x9841217d5a4f9fe7380383990b667d22,
'yfo': 0x1d5a194abbdb4c3f2f203720c95b2d21,
'zfo': 0xc4dc62357133970aac1ccbb098230dea,
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'bgo': 0x09bcc7eb9ba3cff5f477d7f3e53f2bca,
'cgo': 0x63e64fb7f6bfcedd6708e1b75126a6fb,
'dgo': 0xcc7c36759cf8c14d8db22e8a10c47feb,
'ego': 0x37349f07c95879abf625e8e7ae56170c,
'fgo': 0x28784a45cd8fd7f41748fa3a5323fd86,
'ggo': 0x1bfdfc95a8d44c2a4fe644ac85bab66d,
'hgo': 0x93dbebb47bb4e5bb48172a68fcf26b2e,
'igo': 0xd225adb4e7bd47bf65846f83634e4420,
'jgo': 0xa43fc443f7f09bf4b268c80207495528,
'kgo': 0x0ff80fce3834a360d50e82a68d79419e,
'lgo': 0xe132f7d4c73fdb84ba5f84bcfdcf90b1,
'mgo': 0xf98b79b5ac5ef914052aac2784ed8eea,
'ngo': 0x503df5ff92a0620d57b99bd878c4444d,
'ogo': 0xc9fbda3b9e7579c58c96c0730f9e64ee,
'pgo': 0xf8f90eb88254b3b2fd028d6c93d60c3d,
'qgo': 0x1b1c6d292068af620c5da011337248e7,
'rgo': 0x3593ddd8252a0272b5f3e5872f2bf51a,
'sgo': 0xdddee644d8ee1448ecc774007ec27769,
'tgo': 0x464538fadf1711494c21a768c14992a9,
'ugo': 0xc648565ecd714357f6c65ebd64a53ae7,
'vgo': 0xb49140d4377f74fc5f4f4d73965aae2d,
'wgo': 0xcf2c667fac54eada30fc90797210a58f,
'xgo': 0x3e6d3c8c7642bd42c7a3f3771b7b6171,
'ygo': 0xe97387a3f58cec271acf3300b13f8f7c,
'zgo': 0xd4db30a18b32a9bdf08702087f92defa,
'aho': 0xcc7bcfbc58c467939c5987584fc882cb,
'bho': 0xc482e7019f58862e2ec878cc33a5f9bb,
'cho': 0xbb97354e4173df9819936fabcfcabecf,
'dho': 0x7b4e15356095efef3407600f08f2a985,
'eho': 0xcfeb3531b0748c56bd8bf0768574cf9d,
'fho': 0xaf9b8425c69f022f3f993d61f7b56e89,
'gho': 0x2a8ab458436ba5dbeee858770b7c7fb4,
'hho': 0xd1abc848989788a69fa04fdba252cb52,
'iho': 0x43677ef786a02e00cfcccfcab1ff1db7,
'jho': 0x1427e904d3da3b984e2cd6e82d97d631,
'kho': 0xa34dd5325917405e6569ed9073effece,
'lho': 0x12acd6e5e9ffbebf64377cd2d9fb1926,
'mho': 0x6dfa39d663b109c4d14efb0ee5739b19,
'nho': 0x136351987899790ffcb77a7455a5b80e,
'oho': 0xa93e122045954df7fcd23442c589728e,
'pho': 0xd159e99a304e29b4a6c9526a4b243a56,
'qho': 0x0c565ca77119f51bf8c9fab83e56e280,
'rho': 0x843a28dfdc5b2d5463ba2a7b83fdec7c,
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'tho': 0xdb33f30c28364cd44195ed6105b82c29,
'uho': 0x8093809d4a03f09bf6f74e9fca3ad055,
'vho': 0x98aa4627ea354797fb6d9b46f95630ce,
'who': 0x53d670af9bb16ea82e7ef41ee23ec6df,
'xho': 0x2aaeb4e80bda652e84e42a8765881e52,
'yho': 0x4740c4f8ff79e8c5aea8aa6eccad0035,
'zho': 0x3ab671588c2234489378a52b9b542d31,
'aio': 0x144066ff0da09361c9fe2b8fd900c61f,
'bio': 0xe5ba7590156e333ef9aa4b9616a55921,
'cio': 0x4482571a249db31b3abed938e4567a15,
'dio': 0x27b205035c328b16d8c8329c4b41e87e,
'eio': 0x6a76c3e6f07462642ad175aa4b5043f9,
'fio': 0xf003984af6466a03625ae1b386ad8977,
'gio': 0x2bb55d712c4dcbda95497e811b696352,
'hio': 0x46266719a10cd345b20ad764953b8882,
'iio': 0xa88b77bc0c726aab3ee94f7a6b631d7f,
'jio': 0x3f4121e0b88f5a7cdb33d51d4205420e,
'kio': 0xaa5c7603cb655d47e15e0b477c379abe,
'lio': 0x52845fdb9e405f91e399aa170533be94,
'mio': 0x78c925a3a4b36984d1bcbbb01457eec6,
'nio': 0xd0a5fd04b4b48be7ee56c1eb538d78cb,
'oio': 0x5f9b7d3b5a7e5480051e989994ba9e99,
'pio': 0x50f8129555fdc09e97f6d0268cf4e489,
'qio': 0xfd589e45055532a103f1d014c2337819,
'rio': 0xd5ed38fdbf28bc4e58be142cf5a17cf5,
'sio': 0x40883add63f1fbabc7fe6158f93c1246,
'tio': 0xb71b3e083dd4533ed48421a696890835,
'uio': 0x2e1b53afa9ae8b6c43ebd0cd36b5c616,
'vio': 0x7a476522b745a28405719fa828fb9d08,
'wio': 0x5b12270b2f1c52cb9ae37905880a5a6f,
'xio': 0x5fb0bc4e7d110594272e4ea097d8c28d,
'yio': 0x8878ebb2cddc00171ff93a1ea3d3744b,
'zio': 0x2eceb9799023ce64bfbb0cea4a61fb83,
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'bjo': 0x038e79aac9a324501510d2cf56b206da,
'cjo': 0xef269dc2e084a7da968d4e5df668ee07,
'djo': 0x95303ed3db664d0d3a97e5c1932b5138,
'ejo': 0x7c223a673822e6b30e8da6925660145d,
'fjo': 0x25e4326ea1a868a7d2236fa3ff463402,
'gjo': 0x41616cdba093c1f595ef7b5564becc46,
'hjo': 0x04c3a7a0e2d5436d56a96416bf517cd7,
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'jjo': 0x200c8f526f8e0e186c6c4acd3924b6ee,
'kjo': 0x6048195783d4c80dd8b73b01a3fa253d,
'ljo': 0x152bc16930aee34bb20d825747727baa,
'mjo': 0xbf1f58ca55bb6a554b8fc8839f79f2f2,
'njo': 0x38cdd14e4d6e4df3062688b02ec0b1a7,
'ojo': 0xdfe75bd98c8d113650e101c33fe1a93c,
'pjo': 0x0e023f7fc2c4e726b62cb1b1ad675b28,
'qjo': 0x55167141b8020c78adc5223f2657504e,
'rjo': 0x114e46f290eeea7d7291266666af594d,
'sjo': 0x078da0408f8bd84541ef09352f65af53,
'tjo': 0xad34fd80f426b56ff9d5170c801d0920,
'ujo': 0x5cbe716cf4c59cf4b48e8060211be05b,
'vjo': 0x5327a4dbf82a874c1838104c6d340e36,
'wjo': 0xf85993791a9054593809eae79fbdd4f5,
'xjo': 0x03cd6f5b497a89764e93b68d60f23a02,
'yjo': 0xd55902399c0d6c9a12f9884322396c30,
'zjo': 0xaa01bda0c4dc76196891e8b98e2a4823,
'ako': 0x1cd13479e5609d79971c69051158a27f,
'bko': 0xd0476e1f7acbab67a431fff0d1c89c02,
'cko': 0xb2d988b589453487b6c51624394fa0af,
'dko': 0xa587e18b10e55606e1af6979c54d06b4,
'eko': 0xe5ea9b6d71086dfef3a15f726abcc5bf,
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'gko': 0xc22f8b320001f2a5f94fdfca5e11793f,
'hko': 0x36480e35639a11cf46f1472e4f8acf85,
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'nko': 0x524ab479d6db7f1278939d884c8df7ac,
'oko': 0x1c1512b89aaaafdc925587db8205381c,
'pko': 0x0c34317ee4e158d07b142491260851ce,
'qko': 0x053d26b6139f036d350f446416db9094,
'rko': 0xc3cf9a6d59477e9a20559bdd45b1e46f,
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'tko': 0x9f7d1f8896c67cc89d8d4c1292fbc901,
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'vko': 0xd0dca24f7de77cf951b2f00d694d4c9d,
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'yko': 0x7845d4ce1fa7c4a01133f61a38977e76,
'zko': 0x877b172c377b9f06f0efeda30204af9c,
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'clo': 0x766b4914a2cf28a7523e9ca66b126ddb,
'dlo': 0xa861b5be6a3e9ebd3e39b462901544ee,
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'glo': 0x56bca13690bbda77dabb7ce558af711e,
'hlo': 0xb684d8ce4d4f421249483fa1f58d0f82,
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'nlo': 0x3f1e09865a26439426f6008e22848f12,
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'rlo': 0xd1bdd3e2cd78c5c728276e19f6c2688b,
'slo': 0x9847ef430e2d9e2edf0633deff643422,
'tlo': 0x638c7f5b58870b16303996cc99ce42e9,
'ulo': 0x5b31115d6aea168b2d0ff5b8156824ed,
'vlo': 0x62c98d505879b4b55fbc01aaa752ca6f,
'wlo': 0xe28b891fe1f5f31b6fbb30a3a0c3d501,
'xlo': 0x45d91d66a63036fea39e364f42a52136,
'ylo': 0x3f4811c88af2015b74f61219aee13af2,
'zlo': 0xa506eacb01125bdb14a83d515ad7cf96,
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'bmo': 0x0c627e29c77502cc3a437c32a315c9ec,
'cmo': 0x99330263c899fa050dc18add519cae39,
'dmo': 0x8b0d3b8f28a96c53b65b5f7e97973540,
'emo': 0x1aa4d26c82cdb31a3f2b58131c585582,
'fmo': 0x8996088844a68060f802af2dd49d9baf,
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'hmo': 0x443e5821b7a0d3f9b4b716a7554023bb,
'imo': 0x25e47a973e616ca251cb3d068c6b9c19,
'jmo': 0x00dd3e850af1b39f5203d52f0ee96a9b,
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'lmo': 0xc2d9c8297647370f1f992f2930c4023b,
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'nmo': 0x90a0eaee3c3f5cba0ef2e352726f10e5,
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'rmo': 0xd83f2ef11eaf27a7ae671dfb36d73f31,
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'tmo': 0x75d034ab0d8d8b42487a34f3c6cb29a8,
'umo': 0x4f504e6ae7efeb1790fd0bc6756159f8,
'vmo': 0x0d00b03b8e440e3a9241ef74b1c60c76,
'wmo': 0xed204dd9dbdf93970a84e4d095512022,
'xmo': 0xfbc86676157f8d6097a3d42dbb5ee1c5,
'ymo': 0x01dc97980a2ab28331972e56e34a44a5,
'zmo': 0x323479cb650804f1b19d4512aacecee7,
'ano': 0xbde9dee6f523d6476dcca9cae8caa5f5,
'bno': 0x5de904919c889c8156eed5bff8e0ad35,
'cno': 0x4ba95951fc613d26aeb57a131b5fd304,
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'eno': 0xa825104f1c9120942a7f5d01bb91d3e1,
'fno': 0xaedc7e6d5dfb261a011997c752afe1c0,
'gno': 0xe51a850a368ab4b640116b33d60d3fdb,
'hno': 0x8e41e08467ce55fdfb07e0ccdba9801b,
'ino': 0x8ba744afe510a10886736e9c7bbc496e,
'jno': 0x318e635547261407dfe80be9ebda890f,
'kno': 0x6d44d69ded2312bb7c5f50840bf5b537,
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'nno': 0x22676e4075f5416441bcb28d5ee3200b,
'ono': 0xc722afe23409c2d50a32c93fc709e861,
'pno': 0xa640dd405e21ee73d9ad0c1153971c0f,
'qno': 0x61551b6ae1a28170c6d800dcf3996db6,
'rno': 0x22d2259540f96857c7f6b70160ccfc29,
'sno': 0x96466301bed4aeef20378fe7bb5277e6,
'tno': 0x48de1cfdc993735cdc1c82f96827b33e,
'uno': 0x1eaa8bb195869a23f081acbb5bf08527,
'vno': 0xf1ad4d5b62b0921f7c60de7183ce111c,
'wno': 0xb6c065c2ea72f8ae6200165760754173,
'xno': 0x3ae8e0c4da9f63b11c55777610a0fefc,
'yno': 0xf4e83a4dd37a8c7bbec0ce792883752b,
'zno': 0x86d133b2dc9c804fd8509092bec16334,
'aoo': 0x73f2841ad26f0f710679405b7c9d3a7c,
'boo': 0xae3e83e2fab3a7d8683d8eefabd1e74d,
'coo': 0x03a6ff0db560bbdbcd4c86cd94b35971,
'doo': 0x106a7c7ffea515e40b94b2e372e39985,
'eoo': 0xb544692f2f59371abe948360bddda6ed,
'foo': 0xacbd18db4cc2f85cedef654fccc4a4d8,
'goo': 0x6cdcbae015da6f882373107c90209267,
'hoo': 0x743b5f019d80e012a08dc6b598b18141,
'ioo': 0x3743a5e27ba347345e4f0efa98f62304,
'joo': 0xe1ac828fac3483badb7d49cc55d44683,
'koo': 0x2daf143ed4380f034e73297d7d98290f,
'loo': 0xba228e55970144a75be8d7c8c3195ef0,
'moo': 0xb7d192a44e0da16cd180ebe85efb7c8f,
'noo': 0x32651a703ec04fc83ad9ae7be5983237,
'ooo': 0x7f94dd413148ff9ac9e9e4b6ff2b6ca9,
'poo': 0xf3ede926587776a8cd79fb2afe4e07b4,
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'uzo': 0x66d8c73774740833569b56482041ce43,
'vzo': 0x3fed2d251e400c1373c0d5c00bbb81d3,
'wzo': 0x3541c882ba2d2a696e1d4f60f16a3048,
'xzo': 0xd3e810b3349b1e727f6be5d5a4d4fa8e,
'yzo': 0x57fcea9ebb73088f1655c224104c5ca8,
'zzo': 0xfa6465907750ad6eb49b0710512a1c1a,
'aap': 0x6b7850830ec34ccae7cf2179ff8b509e,
'bap': 0x0b259d72a0946cd30ec83efc3a185b3c,
'cap': 0x3d791e43c8d5561e36bd09bacc097517,
'dap': 0x30703582f2f532a305c33d25bf8f40d6,
'eap': 0xfcc3548990c8a1f93958918f01ca7536,
'fap': 0x492d3bbf08ba02368ffb7dd23544ecaa,
'gap': 0xdf9bcbd6578a1e49c06b7ec2874f9e23,
'hap': 0x070210c4d8e072953a1c38e69d8c9491,
'iap': 0xc743f6c69347b64850327e356f9e55f4,
'jap': 0xbf1f178a61616e1a5ffd1c4fc9d23e6f,
'kap': 0x560b51721f3767b514947799cf29820a,
'lap': 0x3a5c9f667568a07a36b0e6bdc378d5b6,
'map': 0x1d78dc8ed51214e518b5114fe24490ae,
'nap': 0x4d3b2b4b063b4e4ae9cc04579c253c99,
'oap': 0xbfc8d5cb8163a46f9a620b2859a82f40,
'pap': 0x4e951936957c783062a399c629ce9a95,
'qap': 0xf59357a377f0dd1daad304759050d56b,
'rap': 0x2e2d7fe5d75b602595df021c7841243b,
'sap': 0x4ef97a5db1519bec8ee8c91d62fcaa08,
'tap': 0x8f98645041aa7d5f53913329c6946a6b,
'uap': 0x33c9bbe3c3da866d747320d5bf204c80,
'vap': 0xef4c77142a02ba9ca17a4d59d6599576,
'wap': 0xca4d8c5af3036c2f6d8f533a054457fd,
'xap': 0xd22a5d41636a0f771dc7c7353c76410c,
'yap': 0x7b10a59d11c752fa1f4f58572c8e9705,
'zap': 0x7068d7a767a114139ca4fe8e6688c4fb,
'abp': 0xda472eab2468230aa83b8c627eed35c9,
'bbp': 0x52466b6d740f6ded52c1ca5b37aceac7,
'cbp': 0x87cd3c0eee9f00c352d165bbe1c1cf4a,
'dbp': 0x06b18ac8deaf14a6416183145c06238c,
'ebp': 0x309a098c21c2fa185cf5b08132d91d22,
'fbp': 0xb484f7c1a50c15c3d2ea3d7b89e5e267,
'gbp': 0x217d117a3dab048919928726fefa93c4,
'hbp': 0x1f388d7c32557558f03eb9b0c2d9a93e,
'ibp': 0xa92d070b53c1656dfa05f2902b5f35db,
'jbp': 0x6109373f50757f8c8d2ca8c8d07840f2,
'kbp': 0x219417b22e3ff314b55cf4c1a406e9e7,
'lbp': 0x47f10b9d69769491363ee49468f8c4e8,
'mbp': 0x83152927692cdd03d2f5aabc1971646c,
'nbp': 0x274b48405aee8489f6a05ef15c0f8ded,
'obp': 0xee9489d31bd650bde05aa7452b52a1eb,
'pbp': 0xb5d85fd3049866bc614228a4a6bb3499,
'qbp': 0x4b90ea834a632b15cbc33f3e173c1c16,
'rbp': 0x5fb4c09ffcf0a2564a2eca001edde421,
'sbp': 0x189f40693751c03b39f3b219b8dc5ed9,
'tbp': 0xb61cb3bed4d1f7da17b240817d4dacef,
'ubp': 0x9e428d55b99630df472b7c6de0a85bbd,
'vbp': 0xe68be015b3cdaa0ad32527415b362426,
'wbp': 0x8aae3659dff946ea375414874ef45e12,
'xbp': 0x745b43e6b36732461af224f549c2e6e9,
'ybp': 0x93de9dc504bbe6f8a509fc141de51d93,
'zbp': 0xb94b51904932dd6434ad0d16749e8d7a,
'acp': 0x1a63625767c3337a241dd501759808f3,
'bcp': 0x021d7ae2408319cc28713236004e707e,
'ccp': 0x4581dcab17ff2256544c5083c3defbed,
'dcp': 0x662cd4634fff88084423c245505f5dee,
'ecp': 0x7e831144e00de73638ae079428d6c803,
'fcp': 0x0f64d0456878c73cbec1ccea842a6f14,
'gcp': 0x50f66ecbc45488ee5826941bfbc50411,
'hcp': 0x463ba1e631ac9ed1c3de0b306afd561e,
'icp': 0x7a8b4dc392bbd09a753a7cd5ba93ca94,
'jcp': 0x006b683484a324d8aa6f37bbd7bbfbbe,
'kcp': 0xe9cec9456cdfe83ac5ce280d5e5cc0e7,
'lcp': 0xf1d72e5909355517b0cd1edb23c446c1,
'mcp': 0x42732a4781317edaa907b98b3c4786cc,
'ncp': 0xecef0fe35e6db01ebd02141d63277735,
'ocp': 0xd686d6b6d69ac3c0e41f349c922556a7,
'pcp': 0x3d27c2e24377377bdd907962a53e13eb,
'qcp': 0x25764aad7995e43f7903e6b1433d73d2,
'rcp': 0xe69ea6657e9b83425816b16002f6497d,
'scp': 0x8a444a43bdf534c0c6338bb7809659b3,
'tcp': 0xe20bb202b1d5537b1415e3263a37ed78,
'ucp': 0xaffcd816bb3a272336e4409414ff10fb,
'vcp': 0xa00c4b6cde53f7520c58686f38a46b09,
'wcp': 0xf28542b77366f8531d86fc00aaae3e8c,
'xcp': 0x430e727eb7fa4c8fdeb29b396f232465,
'ycp': 0x9e897ee90264172abff3cdd6f66785b8,
'zcp': 0xd356a9269128c0bfcc8e368a03299bf6,
'adp': 0xe219be8994730c07d8d6cafdbe9b6468,
'bdp': 0x29a2047bb5908c54034763e93eb92e1c,
'cdp': 0x2c8d34a64e38ade6ba2c7441caf32377,
'ddp': 0x892c70059ae7641e3e9b992abd2916f0,
'edp': 0xed9bdb883dd5d0bf37bd5d208a17fadc,
'fdp': 0x34a7437c7b63d371d229e911df4ab8b4,
'gdp': 0xe785c0883d7a104330e69aee73d4f235,
'hdp': 0x0b11a336692a80307a54d8a37f1c571c,
'idp': 0x5b41dd08733372bb8d68ab7fbe38b9ab,
'jdp': 0x8a20bda8841ac055e8e8d651476b42b1,
'kdp': 0x2b92359122a2f22509f310ca847829ad,
'ldp': 0xd4070a55bdda90f2131a8bbe1c6a3904,
'mdp': 0xaa36dc6e81e2ac7ad03e12fedcb6a2c0,
'ndp': 0x5a67cc3d761b13a9e94ad7f2ef2915be,
'odp': 0xdce46eeb80fc87bfd1881a81f0fc3afe,
'pdp': 0x452af0ea3b1515c56f8f754cde7d2ea4,
'qdp': 0xd1d18a8d0d549d33adc9af20d81fa83b,
'rdp': 0xd68353f7c23514268ef7f41e8a8c6ef2,
'sdp': 0x1d9be44688eefcb9b1360e9811002f99,
'tdp': 0x02096b2a6dc953a2dcb30f42e023f5b7,
'udp': 0x84864c1fe095359bc9c5ac068e24e781,
'vdp': 0x05f001d11301d7a00bae1275ee8492d6,
'wdp': 0x985f91193975e6fac6651f4f2562096c,
'xdp': 0x625faa5676d69cd32894b85f405ea14e,
'ydp': 0x2814e3d8439120d518c54514d42dfe17,
'zdp': 0x8390a8fee083edad3f2dd64180ab19fb,
'aep': 0x473c82e038db2e2e7eb3f7d95c7fbd30,
'bep': 0x919838c9051bea8fdc6aebf00860f764,
'cep': 0x6629091da97f1e713af6b5399eeb9846,
'dep': 0x2254342becceafbd04538e0a38696791,
'eep': 0xa6107c34959da76381fd9dbf03cfe749,
'fep': 0x9714e719adc6f5e447ce2275d505cae8,
'gep': 0x95d54dea76df0370cea278ab6208565a,
'hep': 0x41a081ff431ff42f4424d68416f369ff,
'iep': 0x4347cc1bf6f1250ca348c3df4b9cf0f3,
'jep': 0x453fb01a8a4179e360f8f908afacf751,
'kep': 0x94da4376f0d738db16804f11001b0284,
'lep': 0x08c6e52176ff56f11c5d8b98610c2d1c,
'mep': 0xe0cb4c0129d745ef73efbcea5d05a5c7,
'nep': 0xfba1957daf4381ea376c6b3a5c03fee5,
'oep': 0xee1888018e322918fbfeffb6068c8e3a,
'pep': 0x0c36948d4a0ffc05ddc7b9f2f7918cbd,
'qep': 0x4986574bf647747a1f74cf59fbd4c939,
'rep': 0x75a384057459ae8e69fb9a98a249b4f4,
'sep': 0x314e9e118b3026ce64b768b84a22d816,
'tep': 0xe6893ef750669444cb220cd64888e617,
'uep': 0x07dc64d1f9be36e79ec7eed9119b3e2d,
'vep': 0x7354bf4997fc6ccf8181103f52ea72d3,
'wep': 0xa94c684474f600c1d46b24fd8d16b2a4,
'xep': 0xd0a62c4d4670c3363529497f2c6360dd,
'yep': 0x9348ae7851cf3ba798d9564ef308ec25,
'zep': 0x4ad0cc43e6a5870cac575f93cb84f522,
'afp': 0xf45a1981a993269f904dc188447f840b,
'bfp': 0xcf88aa7ec1cd054346ef160c6cc9e6bc,
'cfp': 0x76285df8cb29c4959b0eabd322c24ffa,
'dfp': 0x173fe346f08f1be6ee139ee82913b43c,
'efp': 0xb439d7a6ea90239cd6ad0a03b17f6b3e,
'ffp': 0x589bdd587cc340652388aa0955bc067f,
'gfp': 0x087431a14c4c073d105df45429ab655d,
'hfp': 0x70b3b7a361005a049d282292b8d83009,
'ifp': 0x4c1a66f5090672d2d9c2ce694f73e20f,
'jfp': 0xdf6533ac9102f56c0c70b2a462d2cc2d,
'kfp': 0x98dd4155c9c8287a5a8e1d92417d0a99,
'lfp': 0x0e51c219713b61c7d4a62d8de4b423e7,
'mfp': 0x0d5cf3ef046e1a7b96483c32a7a67afd,
'nfp': 0x8674a0d522da5850111c4c932607f534,
'ofp': 0xc700cc98c8114ca6d0d7ab4c1ea81acb,
'pfp': 0x634dd08bc9a34bbadacdb1107215f5a9,
'qfp': 0x0163894f4d491cb172c7eadf02151555,
'rfp': 0x393a341469564bef4cde4771e2a43147,
'sfp': 0x75cf98be3d7af2fb6f43e6353ea0afa5,
'tfp': 0x323a1d7961b0e757a61634bd774b8008,
'ufp': 0x3be7d1b2096d2ca466f57938ef9d0bb9,
'vfp': 0xf98b595005cdf57f79068bf36b806b9a,
'wfp': 0x109503a85e82e0af7e2309455ff65d64,
'xfp': 0xf719014569fe4dacd12e6272c00dce24,
'yfp': 0xd4d98a06907deebcfe3e99b2eec07123,
'zfp': 0x7bdb1a82cc9d04b2ce6fceef187db495,
'agp': 0xee8a0c8a0dad4871ff990e2ffbce605a,
'bgp': 0xec50a8f4d28bcb39103379379ddc5185,
'cgp': 0x2d2e8be6f6a764413fc639361245c43b,
'dgp': 0x7a77910cfd8c77ab1b0892a537ec6103,
'egp': 0xeb876289867132d77635ee248ff4ebfb,
'fgp': 0x1d9d59f16e6241dd754393a2c274abc6,
'ggp': 0x93dbd6c4a9d6fc32faefb1efb17454ef,
'hgp': 0xd9daa31ab6b7a3dd6b52c7a95d05cfe4,
'igp': 0x427b420550992db0281716393c4b3b84,
'jgp': 0xddc8f2b30c42909a8d151357a70bcc4b,
'kgp': 0x016c1c01a72eca33c8b7e2fe4182e8ed,
'lgp': 0x93e11164fbf0d867830bf693ed7c0aac,
'mgp': 0x74868d783d5709d604d575273defb78d,
'ngp': 0xcec79bb1e2d940d68810d378bd13d8d4,
'ogp': 0xc69f52e931652f4f60a983ecb2454c58,
'pgp': 0x75fd7686bab25feb3bc711ffbca639e5,
'qgp': 0xc10bc694138e2d7f8d99757e2bc829b7,
'rgp': 0x9e921e69f3a059985d8c176a83208505,
'sgp': 0x0b99c246bcb803eb4afc107419cd79b9,
'tgp': 0x10dffbb81286dca5ac9c3c533cb9530a,
'ugp': 0xf51a1ef55cae2a1f036f5ebaa16f8d26,
'vgp': 0x8558664910af3fdeceacebabc851cc12,
'wgp': 0xf788f30b9264f937450480c912150879,
'xgp': 0x376f8c22edc9ee6a4dfbdd3d83d02831,
'ygp': 0xe4d9c479d5ba8d3913025b32e97cdb4d,
'zgp': 0xc6424680ea7552fadeba23ed3a4ef750,
'ahp': 0x2e2e7521861ea21a1ad28ba9e15d7975,
'bhp': 0x984aa9a9389a170ba3352257ebe8afb1,
'chp': 0x59fcb956ca6369b0e24a225d7e26c795,
'dhp': 0xb22083f7c333a3c4c04a3fc80eec1fcb,
'ehp': 0x9ab575f47af6c11ec339eb8edf9d6302,
'fhp': 0x1ba6cc5627766d812e5d534a929a3de6,
'ghp': 0x33f9a312c47bbe3c02cf881029e57e01,
'hhp': 0xc17e48bec498c302c2211d4f55edbe0d,
'ihp': 0x1875acc4cf6e75cdb379c850a9026f99,
'jhp': 0xec138c07586544035f5e3547eb8cf4b2,
'khp': 0x4e47db7502e792c45e23015a6cbc516a,
'lhp': 0x8508c29faae66d9cfb363ca9cd767094,
'mhp': 0xe09be4b2786fff7fe6688759c85ee635,
'nhp': 0x8625b6b8d1ab1d18bdcb0bf509b33a3b,
'ohp': 0x38d4bde5d626d8f79d2ecb89e3d71527,
'php': 0xe1bfd762321e409cee4ac0b6e841963c,
'qhp': 0xc5c85f669f72cd81d9abb1eaa146a1f7,
'rhp': 0x1101ebc5ce012e432c417176fb67d476,
'shp': 0xd7c1cc7e2340d3a5297ca0231c6105c0,
'thp': 0xa90572e2424a768b3e45e20c63601a49,
'uhp': 0x41b2ee3013e01fcd53ab57f09480cea7,
'vhp': 0x8b02d10c4ad6040529c8eef40fe7311a,
'whp': 0x35b43f65caf0f38daaa9af61658f8c92,
'xhp': 0xa0a8423c6b80ccd6195e5be51b4752cf,
'yhp': 0x35aa96f6752465a07a482989f886b295,
'zhp': 0xb66857686b995b799aa86398bd98ab52,
'aip': 0x4f08f51bf4a8332250797567af889ece,
'bip': 0xd93bea4c204c506cd3825c16020d3f10,
'cip': 0xcd8562d226d37128b84a8bc1aad7ea3a,
'dip': 0xffad3509caa0d87832f811f0f8d211f8,
'eip': 0x19f535a82cbdf2e92a4113c6fbd94eb6,
'fip': 0x7347416ebef5b0ac3c3e6e6778534c42,
'gip': 0x48e157ac9add8406e259b4571096c389,
'hip': 0x997f6b054d31252dfe32ef38f9dddb2a,
'iip': 0x15080aef9becea7697a1e16500b12aa5,
'jip': 0xb2a258136abe0e02277d9151e681a571,
'kip': 0x1ae727a3a8cc819aba24c3d8807e4ccb,
'lip': 0xfd2cfade93518ddd6cff5cb8c6906b17,
'mip': 0x191220d9409d5ac823b6ba4a99f32a12,
'nip': 0xf0b59903e4ba113a2c1ab45592a96ca1,
'oip': 0x90a1b12c7cacbb376a1e8a53f71b3238,
'pip': 0x62ad1c2a46c5298f3e2c95d3babf8d0c,
'qip': 0x533cd35407046c5fb079b56625932a5a,
'rip': 0xb50a2e500294807caa75f3a835796682,
'sip': 0x06b15d3af713e318d123274a98d70bc9,
'tip': 0x6a2139364f96787c8ce1bbb0070b898c,
'uip': 0x6c422acc9ae8c116a52fafdafd7e0b3c,
'vip': 0x232059cb5361a9336ccf1b8c2ba7657a,
'wip': 0xfa687cdfc33f63a773b40c3d403e35e1,
'xip': 0x6b250612c20ccfa9577b994abf75b34e,
'yip': 0x66b6d4c61b23a85b8d375e77104b9e14,
'zip': 0xadcdbd79a8d84175c229b192aadc02f2,
'ajp': 0x91992931553acc688b96a9abf8113b32,
'bjp': 0xab2e79dbba72c3866298b74f1a1c6fa6,
'cjp': 0x531f6f5a24e7ed01f18e05c81c051b9b,
'djp': 0x6d249379f6202e885153ff4267bbdc44,
'ejp': 0x6a723ead6ae3c6ebd420446a2e13d340,
'fjp': 0x386438d05387c376e5da6f22532562e7,
'gjp': 0x2478ac6551bfc76ed8a7d5010c3c76e5,
'hjp': 0xd2e49057ea032030140f8dc8bbf982e9,
'ijp': 0xd607f2a1aeb998ac62c078e6bf534343,
'jjp': 0x4ad7dcaa0b10f29abb2e522f23d86822,
'kjp': 0x70949c9dd5be079b2bfde6e2a1aab88c,
'ljp': 0xafffbdf529a43dc73cbf298af244020e,
'mjp': 0x91566bf33986d88ec33b79b7797e58e2,
'njp': 0xfb8a05cfb51e2610791e9f726bf22d05,
'ojp': 0x5bce8abe1ffde80b22e0c2a4cd2a0a9f,
'pjp': 0x74e3e0f4d124343a55fd3575a312eb09,
'qjp': 0x9250a70b4f8c2fd8654c6c137980ac41,
'rjp': 0xfbf8a0d1ffb67905067d4eca0c55f8e8,
'sjp': 0x66508a94fba75e6f06b28b715a3a0c36,
'tjp': 0x3ebee4932d2795bea1e9898bb7371ef9,
'ujp': 0x4d82290a649a51f83f17a2c9bffd66c7,
'vjp': 0x24051bdd85f7f62ba3bb5f5b1ff56716,
'wjp': 0x679147bdf36b41502cac9c0ad71b44e3,
'xjp': 0xbc115cb788e4cfbec64a3bdb0702e77d,
'yjp': 0x7cd18337125856e548d4c6120938240f,
'zjp': 0xcb4273c4aaa94175d070e3fc521c19ba,
'akp': 0xe8d659e66614dc6e5671a2e1245fdc40,
'bkp': 0x417f2c1dd0517807528fc5360d7904a4,
'ckp': 0x309dca723e76432144125342d92df350,
'dkp': 0xe6c2ee4aac968c19f61eeaab09401374,
'ekp': 0x043853f440bd330be5d97ea20e4ad571,
'fkp': 0x1de5e4a67c73b1a72598d9f477d8b5c1,
'gkp': 0x2f6a32e4f642a01db4ac26c91d6a8169,
'hkp': 0x6aea95ce4cee5ec77b1f2f69af17e178,
'ikp': 0x9dd62874e29ef4a0c3108a0d59e0fe0c,
'jkp': 0x530cf1449f4f8ae3e023142a32c526f4,
'kkp': 0x4c1e8f51338356f9ed2faf098eee974f,
'lkp': 0x5a4755242d62baed1fd9f828b7a68c2b,
'mkp': 0x39d40eacf1a803b072dc739dd4750a49,
'nkp': 0xbc3facf1d681a947a9bd04fc25d9c1f5,
'okp': 0x35513c93644d7b47d8407231f6ee95eb,
'pkp': 0x35737bfd0b0686ae955771b88f67e1a4,
'qkp': 0x12f1e10e497a848e4ea3416d90c36c3b,
'rkp': 0x48e39eee5a2e780540d9c10f0e1d40de,
'skp': 0x4cdcf78bd2c4185ad6a0b8de3101b042,
'tkp': 0x17442fffff96a11233d6bdb6a92f55c5,
'ukp': 0xb466e2faaccec15dfe9116f04f0fd2de,
'vkp': 0x19f5a472be5d0aca03df06ed85ae5947,
'wkp': 0x99f180b066e8668d26f37c7f49178a49,
'xkp': 0xf575ac8f8132ca19a8cee9c6bb01138e,
'ykp': 0x1c33c06d9aac849850cdaac297a1b60b,
'zkp': 0x6f9e70e3eb392edd41c7a2e169b0616c,
'alp': 0x786957b81c3db271a0b7b88ae2d5c982,
'blp': 0x41129a4824eaa3f50ec0bbd04c337128,
'clp': 0x1746c6e2409525c3ffbb01d7f15688e8,
'dlp': 0x2ca7beda17b071de9a70502e24f00161,
'elp': 0x04c43a59a7f35a59c2ef082d69627781,
'flp': 0xf1f150df60f354291e8321b9b395e406,
'glp': 0xc0861a8908e543488c7698646cffec2b,
'hlp': 0xf37ad8785734b582f65f918cbd28bb24,
'ilp': 0x8bc3b4d83fe8fe05f95d8b27428ee17e,
'jlp': 0xeae1a8e0d882027b9c4d451fc9b84ffb,
'klp': 0xd0cfced9c33e6a5e31e7f71519af0009,
'llp': 0xe2043a154e0252c34d9073e751457b00,
'mlp': 0x6a20507c5f69d5b8867fca69fe848540,
'nlp': 0x4c5adbed16b4c9d16698f71cca4218cb,
'olp': 0x55d42df47f28600b9220bacd3cdedc5e,
'plp': 0x95ed136f1ff343e42d36fba7b010746f,
'qlp': 0x7aa64f3dc87fbf23f34c4864472319b1,
'rlp': 0x577db1a0d959f5c84621d779926a9161,
'slp': 0x32f09e43994fd9f0bb3684f9d3de8d9e,
'tlp': 0xf666ad4dc5d95bac7f35964e7d56e41e,
'ulp': 0x728996853f295d0206575099f828878b,
'vlp': 0x242d819d6f818357c5df7b348875c0e6,
'wlp': 0x7239a1029062514ced2b3e0c499f2d10,
'xlp': 0x40f6c58c93c8da42f3879a8b4b312161,
'ylp': 0xcb1273cb7fd6f0ed2295588daf69691e,
'zlp': 0x19d209fe1f4895978a62509d21a87afa,
'amp': 0x162cacf0d591b432412c89437dea28e0,
'bmp': 0x96a75bdbf222c58cabde08ebe2172c9f,
'cmp': 0x31b4e550aa5fd883246f9b9ceae82483,
'dmp': 0x62568609a56c624866dba97854be05cf,
'emp': 0xac8be4aee61f5f6e21b8c5afffb52939,
'fmp': 0x5e596594042576209f90cfbda5422f5a,
'gmp': 0xfa57b71f67e2bb2e55303b33f8358751,
'hmp': 0x6d87e0c7efbeb99ac6bdf9ec93ec4c24,
'imp': 0x72bb0a20dbae84efcc752cb287357197,
'jmp': 0x0ef6cf926f2f394b0cc8e11be8022625,
'kmp': 0xf9c1fad79f38e43455afb85a4a50b8c9,
'lmp': 0x01bc906993658be8be9a09519fd9bec1,
'mmp': 0x6d531219a85503136ced0612b6208835,
'nmp': 0xe43313a48eeed4619fe7b1608a68345f,
'omp': 0x5e4c0ecb1ca74c29f5973c5c738173dc,
'pmp': 0x458d8aab000e42e82040abeadd25172c,
'qmp': 0x66274c4d2d5c398e9afd286714310d55,
'rmp': 0xefecdfae536bae52e683435e553ad2fc,
'smp': 0xb3de29d2072b317fc5f8c87a5fbd9564,
'tmp': 0xfa816edb83e95bf0c8da580bdfd491ef,
'ump': 0x5d0c214266e4f0f90b328969fc40073a,
'vmp': 0xbb8d78987230b5319da7baab05de714e,
'wmp': 0x60f5d7ba8796b5e9259d8654989ec754,
'xmp': 0xbfae74dd35a05ffe9addd44269e75dfb,
'ymp': 0x9599528a82078da91b05c270ea80c770,
'zmp': 0x4b9e47c477a094f8deb8f59cd5c364e4,
'anp': 0x78b79ca363ea2fe10912fdc62577f8fc,
'bnp': 0x9cdaaed716080cf038f191fb40196f76,
'cnp': 0x87a501444f19e68f4f39514a2f4ca30e,
'dnp': 0xf860d4775a5622fd5a1243df80803cb5,
'enp': 0xf64667ec624e7db2da4094eb36b330b6,
'fnp': 0xab498a6016e13d49555152fce6d7c726,
'gnp': 0x2c2d413b8c4df7c3aabd615bb406874e,
'hnp': 0xed6be5e9e5bcd52dfa935af71a49a67d,
'inp': 0x2c6f00854b4702a9da9a18e5fcfdf279,
'jnp': 0x462e2df02b23c0f4fc4a36f22407b2fe,
'knp': 0xecd7da5cbb58fa26df78fc9f438b5d4b,
'lnp': 0x940bb6f30551adda12ddaac64f8645a7,
'mnp': 0xbdaad796945a5a1d01b2ee794ae33d3d,
'nnp': 0x34441179b7dc4bd2aede891bd8ce903a,
'onp': 0xd29a65bfcca6cc851d0b6e9e614bf041,
'pnp': 0xdd659348c317942ce6b00831656a1703,
'qnp': 0x23e3817f89a5d4ae7ecb4de4eea424f8,
'rnp': 0x52320cbd0bef06bdd02d882b49b7abfa,
'snp': 0xd90db89c5669f052e986c7f6bca7f878,
'tnp': 0x2e2cb3fa476370df822f27bee84980ec,
'unp': 0x3073f2f63d0fdbba09ab904f78dbb940,
'vnp': 0xd51ebb70752bb5363ec00a5781f6cf1a,
'wnp': 0x52cade030d65445fd0eb1d8d18ecfefd,
'xnp': 0x802f88a56c96cddc34cd3352d1166d83,
'ynp': 0x96170c1a764d76976b0fe41ed70edc50,
'znp': 0x5502891909079b9d6a5e1c283fb98c40,
'aop': 0xde58c033284230595c1b6faebef80768,
'bop': 0x8379ded97b868b2760ced47e3f69a5c4,
'cop': 0xaa3ef5b6ebb78d184429cab1ec2ab521,
'dop': 0x7385cd258dcaad1cade7b738ff3144b9,
'eop': 0x8373443e533b80c2a8801f6b3344c562,
'fop': 0x7ac9b3199784fd93c13244a06cce31ee,
'gop': 0x1c6b57c9025453964e72c38be0f20873,
'hop': 0x5f67b2845b51a17a7751f0d7fd460e70,
'iop': 0x9fbfb220e03aa76d424088e43314b0d0,
'jop': 0xcef5d3ee85edb4d695c189c857380cb0,
'kop': 0xc7b3ac3e458121536d7911bf4c47fa88,
'lop': 0x53c9332629ac50edbf2d2bbf7fa83f7e,
'mop': 0xb7208774faea1d155062bdb773b5f221,
'nop': 0xa571d969c8661fb0342afd08e571dfa0,
'oop': 0x403a96cff2a323f74bfb1c16992895be,
'pop': 0xb21afc54fb48d153c19101658f4a2a48,
'qop': 0x050ad68c27a56f6fd44a6ec857ef877b,
'rop': 0x08cac5c2739f613c963b0550c07e6d31,
'sop': 0x3f71916d46f94f5ee51bcee817ad8fae,
'top': 0xb28354b543375bfa94dabaeda722927f,
'uop': 0x6a6cda5e53e68520465f32d0fc0ce38b,
'vop': 0xfc892cf66d8623e6a4ad9c6184926e46,
'wop': 0xd43c6cb609bb37935f47215474db2c46,
'xop': 0xecd50e7bea60e8c153d4591217da6ecc,
'yop': 0x1216068a02a4f291332802f42d23987f,
'zop': 0x9ab2e2da8b7a2e8eb0837913e14bd796,
'app': 0xd2a57dc1d883fd21fb9951699df71cc7,
'bpp': 0x0c68c2daa0334704116676287d54c2ae,
'cpp': 0x2c5f2cba9af7f92986d3de1e753f3faa,
'dpp': 0xe4ba495fee46c6a3c3107a519636ef2d,
'epp': 0x1c28d87300e5a0c965e8254f1820b14e,
'fpp': 0x1cf1318db42376e7530367c760025f5e,
'gpp': 0x1320264564c97ff3a090752ba4df4064,
'hpp': 0x3c842ac24d3a886dd95fa2b7dc90aacd,
'ipp': 0x0d94687af4d9232aebe28598ac3ffc3b,
'jpp': 0x39e30eac46faf1fedcbfdd279ea6d2c6,
'kpp': 0xf6190952570edce4211cbe9503cb2707,
'lpp': 0xd4cbf60909942c7e9410233637f061a6,
'mpp': 0xc0605d29f676dd1cdb0a94dca8cb0e06,
'npp': 0xf5d065c9fde93d07b20c4398aa4ae0a7,
'opp': 0x3ad056c91cd3698877680b18756af52a,
'ppp': 0xf27f6f1c7c5cbf4e3e192e0a47b85300,
'qpp': 0x2b6453c261612a1017a288c2a5d6f79a,
'rpp': 0x7bb99ffc3b66f581d7613506ac9cd920,
'spp': 0x5566919ceb387560157c4fddbf8314c7,
'tpp': 0x6da5eedc4c64343127dc6174c885041e,
'upp': 0xd56cbca2617c2dd7bf068f4cb423eee8,
'vpp': 0x21f66e7dd81ae29064c26b66d9b3e967,
'wpp': 0xb385ee7b0927fd5299dde2ef18546b36,
'xpp': 0xde30f4ed64a614089b1ecb0a6f039ac3,
'ypp': 0xe31e1cd693159fc458cb7ca71f4d4af5,
'zpp': 0x090d5dcf598ffacac71b5e67eb69406c,
'aqp': 0xf6c8fce8ec5f2541efb6083759832928,
'bqp': 0x5b5dfe60b78ca0be3a2a16d85d4dae0b,
'cqp': 0xd6acc9f1ba4b28b91ea9de99a0ee53d7,
'dqp': 0x323c05f3370d4490f9ded9d6425fa3f9,
'eqp': 0x5507696533520233050d68b5af3022b6,
'fqp': 0xd17aa433ee959de738d339c7f3ad2f97,
'gqp': 0x9039159fe242b32af3263c31a502c8f9,
'hqp': 0x948be45c6d58d4f9bbcc5e6b2b6fdb62,
'iqp': 0x5402ef8bef0446869440259ec13b80c8,
'jqp': 0x7a00c54bdd5545aee2142933e2b5f845,
'kqp': 0x1b00f6f91c6b0596103c17854a5aa9f3,
'lqp': 0xf68fd2ac10043697a454ccd67dffaaef,
'mqp': 0x1d645c0aab99ae70646e2ed37b130131,
'nqp': 0x5471870b6921439d429db6ab00d32bf5,
'oqp': 0x8b653e3cf70ea78af3e837a79e435514,
'pqp': 0xe3264f3f1fe95dbf44b45bd8a33cd17a,
'qqp': 0xd0bfc6412b21c099ebea3966c99399a7,
'rqp': 0xad79d05d0dde12f71bbb3552f775aae1,
'sqp': 0x3a6e6cdf5c8792716dfe9b3f226a769c,
'tqp': 0x90edb893dfbd3c03136e022f65e17800,
'uqp': 0x8edc2f3ac89df9b47687bc9160d5e82c,
'vqp': 0xfef73b36afd80f74156a89b79ac14665,
'wqp': 0x3a7e100444505cab3a5a13a90efbd862,
'xqp': 0xd20b1394efec9bf4ff21436e3c5fa860,
'yqp': 0x7d61d5327be70a6c6b1503794f685b37,
'zqp': 0x151d735e317e326c6a9a4c1bd0218ff9,
'arp': 0x2e0ccdd846ffd60116ddb796dc8409ae,
'brp': 0x13d3ad9095846cb3dd5ae42bc283a7a2,
'crp': 0xa7939d043567ee90a9f1febb314e563d,
'drp': 0xd7fa3035763943194c712ce9d95e3c4f,
'erp': 0xdef6d90e829e50c63f98c387daecd138,
'frp': 0x40b6d5dcd2295641ee77cf0cd8e9b144,
'grp': 0xaae3c71672121c2397f9f81ff2eb7659,
'hrp': 0xecca84ac88a9a70ab5bcfffbd8913d15,
'irp': 0xa2a4743367f6a5235aeeaa113eb58c5e,
'jrp': 0xf0c9a442ef67e81b3a1340ae95700eb3,
'krp': 0x17d7a40f313560d4d9a1189a91e45ab9,
'lrp': 0x55fe2d9f44d15839815b651b599f7da9,
'mrp': 0x412ed2e9aeba86664aa62a87e296a1b5,
'nrp': 0x35f71b6968296592b283199ff47eb64d,
'orp': 0x802c33b34b545e5a3bf683bd81d96ba0,
'prp': 0xb01c6fd4b56d65a5a737ecdf107489c9,
'qrp': 0x616cd522f1098345f50d9faca5df73be,
'rrp': 0xf0ed791c0fc0a2f5b856a13c88f2882c,
'srp': 0x62a165d59f8daf42e2df5f3c5aed8a2f,
'trp': 0x3678a3f8e003e7635b0b76a9d832cf63,
'urp': 0xb90223d5a6d6691429ff1fb16bcefbc1,
'vrp': 0x9406f7c83b10ac45f811ec2193d30f22,
'wrp': 0xbb2ae1996c21bebfdd49d47440c714f7,
'xrp': 0x295635e63aa72d18e14800198e3c447b,
'yrp': 0x64bfc677e07d98a0700df63c05c35504,
'zrp': 0xd69817e7c136f594f3866517edde13a7,
'asp': 0x9451810adcc13a25e610332880cc447a,
'bsp': 0x3c247ce3b763bfa0225f15c27bbbc328,
'csp': 0x3c2f5decde47940c8baf3b80dea449bd,
'dsp': 0xa9bfcbd77aed59d33d77710050ce42d6,
'esp': 0x4878a0c647b31c5074ae45586fefd018,
'fsp': 0x933e301a1b25760b896a5eadfbcde902,
'gsp': 0x309a42df34d2fd16979b368fea304d0b,
'hsp': 0xc435a9810009800cafef7dce3b7844a6,
'isp': 0x6950d1d89a0a96715e5a350129e90346,
'jsp': 0xec407cce6b649daa8e320157e5763976,
'ksp': 0xa3d65f2e6273b9874a9d045b31ba1845,
'lsp': 0xf3b3567de9e676a3a56db74f06664ac1,
'msp': 0x9e5236b0197a19704ab82b7bd13ff745,
'nsp': 0x9518e0694a21e0b9ef3ec36461cb5b5a,
'osp': 0x3a8e55937df0d596fca0943b924306c9,
'psp': 0x95d52d58778762c70ae3328bb07d8a3d,
'qsp': 0x8731b2971a008d082da40ca2c87a6136,
'rsp': 0x451e86cb8c690e064ceb3078192d8615,
'ssp': 0x97c9c694d99f729e1a48940d0b386a9b,
'tsp': 0x902bcfe577b6644c4a7024c28fc3ec94,
'usp': 0x75581170ffc0cc5ae2d7c2823fe21d6a,
'vsp': 0x31f613078471b3d039afb53a8846ce89,
'wsp': 0x5fcb3686f6a0befe36ee537d3fddbfb6,
'xsp': 0x4c5c859a3e5649a0aad443d1c8975e94,
'ysp': 0x09831b380c21b73918f3d2437e0988e4,
'zsp': 0x7719b40816742c1e564e7e22863119bb,
'atp': 0xddcf3f1d229411acd59df0073c29b45a,
'btp': 0x5137658346f64b3ba16c2e68193b396c,
'ctp': 0xc4aed387427f99fb297dd833379861b5,
'dtp': 0xf0b5ba9b8a365c0a8709d9016f865d95,
'etp': 0x5060bc256b49055830cb6ee2c22c436e,
'ftp': 0xff104b2dfab9fe8c0676587292a636d3,
'gtp': 0xfed55d430b475d5d6785387b161568cb,
'htp': 0x1cd979309246dcf03c76739887ba0aec,
'itp': 0x04330147d2af6e87dc0a91a4a90fdaf8,
'jtp': 0x5890235e6db09de19c87f6119cd55dff,
'ktp': 0x92849aeec004d64f3cdd984a81100ee7,
'ltp': 0x626016a29dbc62b0c903f6fafc775790,
'mtp': 0x5884bf0e6464833e0550ebb13e0578e3,
'ntp': 0xc09633a606c51a161b16f8bf38f5ebb1,
'otp': 0xd2270e7120a93c8b0a6a34760e654c7d,
'ptp': 0xbe19d835ae8962460c01703fd05ad9ad,
'qtp': 0x8109df850e199b6083212f0f060c8b16,
'rtp': 0xc766e112de79c244fdaed0ed34ca5e12,
'stp': 0x1514ef4c38ef3b21bf970755926aadde,
'ttp': 0x673711496e1acf40122b825d1c9d34cb,
'utp': 0x6545700ab0c5f892423b7a3b78bc3612,
'vtp': 0xb110860129263a32910deb6ab48bbb6f,
'wtp': 0x058520caa81c8e451bc6ff547386a446,
'xtp': 0x85c4e874572ea3a6de4caeff32bb6628,
'ytp': 0x668d5b63e451b5c73254e70bdb2b2e2b,
'ztp': 0xcae01c3f6bf83c60ec2898aaeaabe31b,
'aup': 0x5a62a5b8e1ee3a635d87c8b355ba2f3f,
'bup': 0x07672cabc9d5903ebba85d9851ffbb12,
'cup': 0xf3f58ee455ae41da2ad5de06bf55e8de,
'dup': 0x0e9f1e8e40bb79e800b0cc9433830cf4,
'eup': 0xf54f9ef1d93eb0a89cac76effec9ac25,
'fup': 0x86de25aba2c1318e6f508ed298072ee9,
'gup': 0x88ee566ec2b9b735358dc1586cb3397c,
'hup': 0x2ae5050db8876c01c093d5cfb519f1d0,
'iup': 0x10ca7d460e9bb0cea03b9d65032e6279,
'jup': 0x0a127746975c831cadafe67a7ef74221,
'kup': 0x96b6e384cad40d608ede8815f8cc5b33,
'lup': 0xd2ae99ca69374f7f660a496ab609b99a,
'mup': 0x909a565ff642e7b829acf0174110bf80,
'nup': 0xbb30bf8998422a7b62aa8a751a185b9f,
'oup': 0xcb533ba44ee319dea6ab1f95487de83b,
'pup': 0x59f6af98d759634f8597238fb0b86854,
'qup': 0x8bb44d1f2a50fc1bb7b3da41c63df10e,
'rup': 0xcf49de8dce0882063532bfe93fe34a29,
'sup': 0x2eeecd72c567401e6988624b179d0b14,
'tup': 0xb2b31595141e73148c92f89e087d35d5,
'uup': 0x2f4df692ba18673330cfefea5f7661d9,
'vup': 0xa9383b13cdee2fdd79d88410660e93be,
'wup': 0x16ea71e1069897399d76e4caa0234163,
'xup': 0xf617aa2217636f610b8e505f06346bd7,
'yup': 0x8690303dcae84177bf642ba30b76393f,
'zup': 0x167d8771360bf94f31d351777fe97df8,
'avp': 0x349433344be987d594aa70f188dec534,
'bvp': 0xeb83f13c287d64603462b964813444f1,
'cvp': 0x9679a0f417e4a4c26f95db8f1939f197,
'dvp': 0x1aeb891abbe8677ab4e014831bca77ee,
'evp': 0x08759776f1fdd84d8ed60ed5dc662535,
'fvp': 0x05bbd0081b4d0a06e00661b04238805e,
'gvp': 0x1307e99f3fd135e2433da80b791b74d7,
'hvp': 0x0611e02c34289010783b0eae0a48fc12,
'ivp': 0xb61140724079bd738819daf2d45fbce3,
'jvp': 0x16e9cfb78808526901f9befc5bb268b4,
'kvp': 0x2b69e2768e9b23fb6665f58560853916,
'lvp': 0x26f1e77a85c920221ee73f21571f54c8,
'mvp': 0x4d8673e0ed492955a486e0e4c5ff0646,
'nvp': 0x0c7cf445966fbf9295e8286d51af4712,
'ovp': 0xe3e6083cd5e8de5744db9d3593efd13c,
'pvp': 0xd81d2324fce5918da1183d427d81e3bf,
'qvp': 0xc317a65d97a1bcf9cf14c16451a2828e,
'rvp': 0x37eefbda778cb519809627a063c99da7,
'svp': 0x30283fd7dcac1f4cba559b5093ce8a3a,
'tvp': 0xec0c8d02a41aaba2e01c8133db91ca1c,
'uvp': 0x9cb857f998504c396dcc75d1f2e71311,
'vvp': 0x4e76873149b5faf0bddafb0b9ef929a6,
'wvp': 0x7e564b1e4d2c8f14c87a3c0e7ed4f9d8,
'xvp': 0x1e2d4ba26d41c0f7ac96afacc55beefc,
'yvp': 0xbea6a5c28194e104af0e150e6c5bc883,
'zvp': 0x1a577406e53622c4b2fcf4f23953dde6,
'awp': 0x83c40978009dd8a1a89d73028be27a5b,
'bwp': 0xa30957698f9ae01d785c6946eab79330,
'cwp': 0x87fabd90c8ce7beae91b471c00c97b5e,
'dwp': 0xc390bc28b43ddff7ff8b6fbc09078528,
'ewp': 0x5bf259c3d99eed992a65cd03901f32e4,
'fwp': 0x26aa928b2ee893ee7721f35f8e2bde58,
'gwp': 0x920fe71ee48fc7a0159652ec1781d119,
'hwp': 0x238052d0194f8e71d2b7040b716fe0a1,
'iwp': 0xe7ae04ba6b1ed27ea811236e518ea94e,
'jwp': 0x349f19e133c1d8b668eefe064faf7853,
'kwp': 0xfd6370676118da9c4a2bfaaef47f8ea3,
'lwp': 0x510abfb8a391a5c6c9a81a285cc077e7,
'mwp': 0xe8cfc01b37b8e9f27af09ffae08eae36,
'nwp': 0x5cd8766bb4367e9d32565e9809e43b5c,
'owp': 0x2e623a8be42e9a1663c66ac562316872,
'pwp': 0x978d82f18a26b0eea6c67138cd408e85,
'qwp': 0x3f70a947bbb41a7f555d3812a2f63540,
'rwp': 0x65e3df6194b3eddcb92405aede40c649,
'swp': 0xa9ec6fc4217038a6f91294b8e5ed9933,
'twp': 0x486b65e303535f389971acd73a4d2c61,
'uwp': 0xd0836d7d5dbada368e56915f6b3fbaf4,
'vwp': 0x9ae70189270faeb4aa42096bd9ff95ff,
'wwp': 0x239c73a6e8df31e4c47f0e073b608120,
'xwp': 0x43c0f1b0784862f3f3998ec294fc05e2,
'ywp': 0x06a9a6253270011817eca4ed77be1398,
'zwp': 0xe6feb44502c0330d296dde0741122977,
'axp': 0x1fa52dc6c9311addfac0c6a1a4ff51a0,
'bxp': 0x9007d545df9e942a645fc201c9d9595c,
'cxp': 0x1d3ab10d2d5e250151f6aaf31db53fb3,
'dxp': 0xde89089b3f28523876061b4a1f8c9f69,
'exp': 0xb0ab0254bd58eb87eaee3172ba49fefb,
'fxp': 0xd7bc68e9ee18d3c497441b598e42789c,
'gxp': 0xee1bc0688750cd9a96802766d3641b26,
'hxp': 0xb82684e6f455dc682a65a786bb1ed05c,
'ixp': 0x94fbf8da1bf2a39842019c960c02ceb3,
'jxp': 0xe7308f74034b0651a93d6c9c11caf34a,
'kxp': 0xbf49a18bc9c63c9e6b1b0c2565920993,
'lxp': 0x6ae96a1f4df95ecd47ef0553e7b2fffa,
'mxp': 0x7e4cadee5c0c6c74852d7aaae20e978a,
'nxp': 0x2f8676637c8e450fe91d162ece5e41f4,
'oxp': 0xfb2a34b5295ec624345055ebe5fb7016,
'pxp': 0x7d84649242d2621272cd3159df8006ee,
'qxp': 0xcb8e8acde50654884884ee62cc11ec09,
'rxp': 0x95445552a4a412f50cbad8abf74171af,
'sxp': 0xa445ecaf347eb52c2cf966ffd3e50659,
'txp': 0x00aaee999a7a337a9202292ff26aa90e,
'uxp': 0x3df672b4b2a94298e47ba9ab1dec2b68,
'vxp': 0xed32e9c065ffd35d5ee70582e7f7fab2,
'wxp': 0x8bd8012759a8912d021eb2d1b91a4a66,
'xxp': 0xc2227bc88157cc2647139d7d3cfcfbe9,
'yxp': 0xf62890f297e8ba28489d1c8a0629c630,
'zxp': 0x344d009495fe76c502352b6fb348ef53,
'ayp': 0x96333100ab42d131e13321f70ed2346b,
'byp': 0xba8f6ef3bd7b7cd9ceaa781519bb6ae2,
'cyp': 0xf45169741bfce8b1b2882da4a7fbb5eb,
'dyp': 0x260bd0a2e95b19f4235ad84ed060d9d0,
'eyp': 0x9e5d9b1f7fa4a8d0d06c796f22916972,
'fyp': 0x6d3bb4865e3fcb97ad0cc6a4a89bdb06,
'gyp': 0xf8466a35e4bf55255c99120cabd1d5a4,
'hyp': 0xd5ba23194ed27cadbaae786de805f40b,
'iyp': 0x89a6174b7fa388378dd6d0f7ae4f09a6,
'jyp': 0x140a94509e9dc9401c8cf456863b44dc,
'kyp': 0x5455bcc38fb2a5515db34938deeb0799,
'lyp': 0x9ac5c2f0a81fbf1408c6a90bc6bc4c1d,
'myp': 0x3e8555846a7a6d8e9bacd6bbbc1710d4,
'nyp': 0x480a45ad83c2c12112a7a943364144aa,
'oyp': 0xe29937e288f315b4f97733d6679ec81e,
'pyp': 0x3b1b11474a0e9f2e28b5b9f4ecc1c092,
'qyp': 0x557c9246028b2b315e811a8ceb7691bf,
'ryp': 0x9b6f0aedc005e0c286b27637aa46723f,
'syp': 0xf19fe81cc92b1efcd1dd6a097ab17b05,
'typ': 0x51477bf023258e57bb334bb8f07e3664,
'uyp': 0xcaf05a235e8811ab554bb42cca51dddd,
'vyp': 0x87cb014c2d9dd08bb3bff84f5353274c,
'wyp': 0x2b3311e6af741e71f2dbe90df9f9c1da,
'xyp': 0xf3e1448e811a9db2b7b08fb95f983592,
'yyp': 0xe6e49c625c89ac128b962631a840ca49,
'zyp': 0x0878dafe2374adc39fe3ed25059a31de,
'azp': 0xb489be0dc1c45c44390e990b728046f2,
'bzp': 0x9416772ae64db34008664b9b838c975d,
'czp': 0xaa4e7d05526a568e057b69f9ffd6fc61,
'dzp': 0xd4788bec76ff7f274ef1a5b44b3c8dab,
'ezp': 0x88f5a2f0d1351b4dfaa5f509b4e0b5db,
'fzp': 0xe914459c55188d10371c78c894051507,
'gzp': 0x43267a6876f29e67f27995201e547a44,
'hzp': 0xa847284517297bbf056a8fd81fed0296,
'izp': 0x61a28c0d101505c1988598cb6614dbeb,
'jzp': 0x2602782797bd22105ca0c2b3e6e39849,
'kzp': 0x0b78bb0cae88b12aca917bd9918e7afa,
'lzp': 0xf68ac95bafbb929143cfb3406f94fa54,
'mzp': 0x8c6da308854f895f01b45b44a34261b0,
'nzp': 0x70cc5dc23b478f7036c509e9d87977a3,
'ozp': 0x4e28f8b239088620e20ef85fdd8f7fcc,
'pzp': 0x19e01f9aeaa4e9939a28dd25f1aa29d5,
'qzp': 0x429e0ae6edc6474718a8a67cd81d7fc8,
'rzp': 0x30f50b5d6169479276d877b7fcecedd1,
'szp': 0x772dd5b0190c0ab683d672e1e438f496,
'tzp': 0xdb9d5a084383957081df8b0c9f00ef59,
'uzp': 0xec8c479114d7dbe337af73b81b1cb35b,
'vzp': 0xa88033ad9c13df0635e4756b1927b80d,
'wzp': 0x198bb8f9be82ba8d1349b0374a12932e,
'xzp': 0x06903ab17e833f33b256281c381a23b9,
'yzp': 0xc25a1809b3399650ed4699691b4ab714,
'zzp': 0x7ec0d93966f46b1e1a8c59a906800634,
'aaq': 0x69bf1b5d2c24150535f6c80e5933e43f,
'baq': 0xb47951d522316fdd8811b23fc9c2f583,
'caq': 0xf4f51d53b47ded5c4b59d34cb1989341,
'daq': 0x91c095b62c3914e69235cb5337a4fd49,
'eaq': 0x4657a4aa46695a6db45a021c5a9b320e,
'faq': 0xda75cd652254fce37e953d7f261f132d,
'gaq': 0x439ee447b35c1c23262aeff42a38372a,
'haq': 0x0170159c366e2c96fb7ae73300630be5,
'iaq': 0x32219ebaf870e04c06847e5e9aa7ce56,
'jaq': 0x82d0d02decc40be462249205d5373816,
'kaq': 0x329e0fe1b98026f0b14ac71b370fd3ce,
'laq': 0x87b7110c9a93826b50f500b0b2c9077a,
'maq': 0x262a223e4fed4f13e42e9c37a608ca43,
'naq': 0x7170e5a4afe370e1b0ed9159c13978ab,
'oaq': 0x1a64b6851409c35f069daa8bf1707600,
'paq': 0x981e5fff06f26c103c199601d06a3749,
'qaq': 0x563ba72ccf2593689f6d215b93eb48b3,
'raq': 0xf5000d14faba23ef5f1b5bab4860e860,
'saq': 0x1526c671a36654503d711b997796f034,
'taq': 0x60f462ff5e1f1d5a092ea1b9ada4333c,
'uaq': 0x5b696af15114a0dc52d5b748d3bb1546,
'vaq': 0xad15ddee31bf46195914b63e5323f2af,
'waq': 0x4adbcc8ecb8b273455311b2414d85543,
'xaq': 0x74d49eef29ef96952a766ecbe9ef3997,
'yaq': 0x038bfcd4977f44af727dc1a03c054352,
'zaq': 0x9e3895cedfa93fc7d6f63cb00ad91d1b,
'abq': 0x039410e18a02ea5692db20b5d5fb17be,
'bbq': 0xe01fe28f6cd12003e2298024321d97d7,
'cbq': 0xa1d066aece6a04638308d85a3b73d665,
'dbq': 0xc2159e8620ab81f839f26b021eca1bc2,
'ebq': 0xe045abfa3793de085f161f6e15bf1c8c,
'fbq': 0xe4e53b1d3215914b048ddf560430a5ea,
'gbq': 0x7e6021d9236189c47fb2d681f8f5dd0c,
'hbq': 0x98c0ba023396348fc6fe2e866365b1c7,
'ibq': 0xe70c379f2a2cbcc214d0946d6e6959c6,
'jbq': 0x67b5d83f1728606a7d76d4a891f625f2,
'kbq': 0xda6bf528ad2d643ec3d6227c838f620d,
'lbq': 0x3e3514845a31c2f2d267abdbc5235811,
'mbq': 0xf4ec45525c656126b663a55563581c4b,
'nbq': 0x3e059870c2b89b760cb521678e5ae7a3,
'obq': 0x9b9c2770bf27d23a95a0753a476c669c,
'pbq': 0x11c7184b9bde874d2405bc0d60a00d38,
'qbq': 0x316d136e04d6147466428663329335f8,
'rbq': 0x9c92c67a42ff4cb9f48f096dba2fdcea,
'sbq': 0x99d2041789211871e52166e10db585ce,
'tbq': 0x4993dfed28d6d20813d9c76fcb3dc942,
'ubq': 0x0aaeb6bf9ebec24cc098729cb18acdc0,
'vbq': 0x05b7c3036114f5644aa0b2a87b4de32a,
'wbq': 0xb5f7e38cedbc2260bf70a02ff4af58f4,
'xbq': 0x18f7faae41232f122744dba950c27911,
'ybq': 0x8d687281238e12cae09ba8b24e2a0cbe,
'zbq': 0x3fa1cfb589240e522a794ae2f460a53f,
'acq': 0x1d8f641a947b3f8771d6eedc9c7f6988,
'bcq': 0xfd76c4079f65a804151557c566679cae,
'ccq': 0x4715c8c39a49faf1625aa9a65a5f2244,
'dcq': 0xa0e9fe2c6fc37811c45a72831cd9e2d1,
'ecq': 0x1d5c0d6cbac5109130c51aa8defe27e6,
'fcq': 0x3aa6a65e6aebcd1601d8235528b1e60c,
'gcq': 0x26101cf606c2caca71073d3dd887afe9,
'hcq': 0xf4fbb8fe0aa976a24d5659265f7e0a9f,
'icq': 0x2765d621af8a58b78b4d528bd5ef7f6b,
'jcq': 0x6d69fd53b088a9d92cf32d51cfbec4e7,
'kcq': 0x5808097bde9a7c2bbfa519dbded98d83,
'lcq': 0x687cfc40f25be25465488a23423230ea,
'mcq': 0xa898f6f2038233dfb2f66e2b16b7242e,
'ncq': 0xdbaa1a291887fff225c932c794ff9c6c,
'ocq': 0x7e1b99424b186ac602cbe91256e42ed4,
'pcq': 0x62dabf3c3edc9816b3e2edba1b75943f,
'qcq': 0x44d5a95348aa82aaaf84c6db6260b00a,
'rcq': 0xed2ff68e2a7ecb3539fc312839a586ad,
'scq': 0x1f233f9859a982b42034dd17a45f264e,
'tcq': 0x7fd852a001523e2df2edc9a52aa02012,
'ucq': 0x3db5467ddf3546f13f5c962a18c62c54,
'vcq': 0x34077472e2b99446df79c1aaddc0be92,
'wcq': 0x2637febbf40f41e88c2af96525cfe274,
'xcq': 0x9738d61dcd0800b5c54f6eb5c46902e0,
'ycq': 0xeeef412772809b5047d492400c3ac2b2,
'zcq': 0x90ecc4a6017d226a69637e5b980e0578,
'adq': 0xd18b61be2cff59949eb5276e771a3fb2,
'bdq': 0x02e50bda16930d6afdc0b66bf89818d9,
'cdq': 0xf8aa1907eeb27f5bc55c724ef21f32ef,
'ddq': 0xe9168909a5e6406a67a40ee817d032d8,
'edq': 0xeaf7ae0743fd15eb56854b1338c36ddf,
'fdq': 0x09eaa876428a5172965d80feab9e1b16,
'gdq': 0x0969d5016c3f1b06818c82b7bf46b5d5,
'hdq': 0x53a0b123dbf48a124f60d95b1e3e37c5,
'idq': 0x8f7c934daa202a9515bbc554a71bd64d,
'jdq': 0xc7e6b216dbca63f7b8003d38df3bc8df,
'kdq': 0x0e75ed62ad2413c358c02b590f56c045,
'ldq': 0xdf365c4b1b515bae9ade2921455dc278,
'mdq': 0xe1216bd7a777ba082ab8711f16968f26,
'ndq': 0xe55f4560ed36a2766c7bc5667d6baa57,
'odq': 0x2c06f7bb3f683dded3d505167e1c0bed,
'pdq': 0xf28935486e030a740ec1bbe0e22b6f1e,
'qdq': 0x0f6b42d7acd2faa40944e4b7a7c7daf5,
'rdq': 0x5e471e1e47511d8f35bd19b9e514586b,
'sdq': 0x597114bacce7448d456b25845178da3d,
'tdq': 0x41c85a62d32f06111295018926a3a6ab,
'udq': 0xe1d187e5e46cf223c1b03d60d0b504ed,
'vdq': 0x6935c312fb3ea66049a874331e2cda30,
'wdq': 0x516932c89b8283d44479cc00aed39748,
'xdq': 0x064eeef6336915d16a2f152c7f1afe99,
'ydq': 0xfc98a2557ad44f40e51300328ffea8b5,
'zdq': 0x876016c8e27732ec55bdc7de033d5bec,
'aeq': 0x81922c6e7c4bdebebd7be669d60b7a59,
'beq': 0x6e00bc895a8369c5a5f779aacbbbb50c,
'ceq': 0x23aa16d703616a5f65bf5a990d799aa4,
'deq': 0xbbc5b7d123b9daf14f120776a06326d0,
'eeq': 0xe81d183b6de1ea62e8e967f08639f44c,
'feq': 0x8864f09730e919b859c6f85e597cdd64,
'geq': 0x42d01130c31a6db1a25b5c8314cf9fc7,
'heq': 0x970108fad41319d3a3bbdf100ad413ab,
'ieq': 0xdc9d76fce9fdae8379a5554e6d727a46,
'jeq': 0xb55e48b02362f8608c2793543031b365,
'keq': 0xa427e3a3c14e0389c84fc207eb0809bf,
'leq': 0xe8742a3606fa66940a24d4453fd5883c,
'meq': 0x290924fadb756e95dd37611499a00f7c,
'neq': 0xbc68613fd1fb63c55cd63311464adfbf,
'oeq': 0xe7599c0c4f7835ef687fd12ffc53603a,
'peq': 0xf2c2b4dad3fe01fecaaefc872fe8a1ae,
'qeq': 0xdf95126c4d938271d6faaee2d6cc0804,
'req': 0xab4d0a658aef644a039b90c2067b45c0,
'seq': 0xe068c2de26d760f20cf10afc4b87ef0f,
'teq': 0x54f94000f583d2fb6ad3a5babade393d,
'ueq': 0x1c4fdfc0117ae90efb4de8b615414e88,
'veq': 0x102c55b0cca93e4ba0ce420a1cc18121,
'weq': 0x1d095b4d29ad942b992b9f39d7ed0483,
'xeq': 0xa9822efd6688df45eb34e6e2645e3fdb,
'yeq': 0x8d8f7953d0635f3bc95a1594c5821d80,
'zeq': 0xac95be695372adb7b2c8ef873f350c81,
'afq': 0x14675ff6689e41e33bb01382ba685249,
'bfq': 0x08e74443361ae9146762b56a2bf15c25,
'cfq': 0x841bef2f190cf60c6c44c3fcd014313b,
'dfq': 0x2ae4f6b34e3cd40a78e090b831dc109c,
'efq': 0x2323128f0bd54519c92b267a2d95d921,
'ffq': 0x218f212256cd47ec859dd9e8913b0f36,
'gfq': 0x029ebc1540e3463a60dbcb0ef9463fbd,
'hfq': 0x16f25f448414c8b853ac189d298c08c8,
'ifq': 0x3b20c15e2cbe0833c814637ceb2ae2ba,
'jfq': 0x287596d559d46083f134e66af387841d,
'kfq': 0xa43b4b915e1c22055a31004f47ba29be,
'lfq': 0xc94cc707675548503b9134b858c6695e,
'mfq': 0xbbdaceca82859a61e6daf0513fae7edf,
'nfq': 0xf802bb26fe7a3bb7f2fe23963623eccb,
'ofq': 0x1629fd8819057587cbdcb47ee435f05a,
'pfq': 0x71e7bfe562580c24e42478e03f2c1171,
'qfq': 0xedbe2172b7f2289d31bbbf6245f56f60,
'rfq': 0x9eef3f14be8b87bb633a5a66d6a2feda,
'sfq': 0xe42b3950cc4bb0bde76cabc5eca3a87b,
'tfq': 0xa339d3b09090abfa4df5399e7fc59325,
'ufq': 0x69f92a66822a4b296f59949207e0ac1b,
'vfq': 0xc9ca35b325c3ed012edc71f18e4ba110,
'wfq': 0x9a561caf5aefe9ed71f7897a1ffb0a1e,
'xfq': 0xbdcdee380f9dcf4287319f4186269ca4,
'yfq': 0x972f28b2eebb36d0a77a923b1973f3ed,
'zfq': 0x10e2b172d0e30f8e68c8e926d96a7218,
'agq': 0x76b14772d08c09b75764b57cd7892354,
'bgq': 0xa947e9a115b523f3c14b76448ffcc066,
'cgq': 0xf6aff1d695ae232e68306d8b57ee41c9,
'dgq': 0x9311a5ca8a1fd9a7939c543fddf747d3,
'egq': 0xda0efa693887b002b14f195fb4761bcf,
'fgq': 0x92591f455b83cc9ae98b7099d18df0c9,
'ggq': 0xe2d390a36f9c8f14062fda0e62a787ec,
'hgq': 0x4ecce4bb4edcd96e63c6bb7d2bf6e8b7,
'igq': 0xa68296eddf8d3c65d199e18fb88cfef0,
'jgq': 0xaba346e30a2b233f86f910672647de2e,
'kgq': 0x520eec5c672511040edc04d4468e9501,
'lgq': 0xf5dd1c24a6ae9c2907d7889045cc6304,
'mgq': 0x44062572f9507a2c960284ff8aaf56cd,
'ngq': 0xc4d64b1b700cf5a1b4525ded16b27694,
'ogq': 0xdbd1ba5dcc6152a2af424054b00c4996,
'pgq': 0x22e928d36dc35d16fcae1bf2760ee4e6,
'qgq': 0xe0674af0ec5cb33b11761c8069847e39,
'rgq': 0x37f88e379c9b1aa83ee2786c87831975,
'sgq': 0xda5c7f883723301d0796740f8bf55995,
'tgq': 0x1673f8fd0f582c53db3bcdc7d6db28fc,
'ugq': 0x6c671bcc2d7d8b992c46e6a4bd109ee3,
'vgq': 0x9b5edc71948abbfe67216a7c6177934e,
'wgq': 0xb3e112f287216f71c5632689260df0f2,
'xgq': 0x6c4b176ca4a37d5b48a1961f03c1ac62,
'ygq': 0x69f09d8974fc879fbe50fcddf514ee17,
'zgq': 0xec4113f75f221373ec942694cfe03ec7,
'ahq': 0x3f1c0e25bc905b1d53cf1a4e6bdaec98,
'bhq': 0xe7956c284929079c7d0c7293d087c50a,
'chq': 0x6d5f2d0430dc040d6bebca6614042017,
'dhq': 0x745cccebbcac587410cbb657bd49ca8a,
'ehq': 0xaeca8ebc20aa6ac812a3f8c845b651dd,
'fhq': 0xff7a7425e7c3cbf8a8d82c38cc63ceb1,
'ghq': 0x01826dc432538e16fd8ea4a61d0306dc,
'hhq': 0x9e8ca68bf7de888a350681d2f060c18e,
'ihq': 0xb6534bf36582d6ed38b46561f781b903,
'jhq': 0x6ff90adb020d1c9a96da1dc8a2a94b5b,
'khq': 0xcd62fc821bf8eb01bed5310423068344,
'lhq': 0x27d17a2199aae2ee0e8e49b07f5e43bd,
'mhq': 0x5ed4409e69f3b3b23bed09894331a783,
'nhq': 0x717eebe4d0c84f73c3a9134eb1ccf26e,
'ohq': 0xec8ae2b20c074e97cc6945b8e788e032,
'phq': 0x6a61700f00c0096f2b862091eb618f5f,
'qhq': 0x1f747ace4d6699b51f2eceec042e9e07,
'rhq': 0xf547e39bdf86472de2342c0c3c01b9f9,
'shq': 0x53f598dd60d2efa2e9a098a702d3503e,
'thq': 0x9daafcae5a4d2a57ab3a140784e42d72,
'uhq': 0x19b387d20097558b9557ceb94762c9e7,
'vhq': 0x00ba87c8715f5d115265ddf0f17a4545,
'whq': 0xbed56fa8272f3b972b60bec5ac02010f,
'xhq': 0x6a9b2d2e4915d71643129ceb9399b5ab,
'yhq': 0xb6bdc8dcddeacece09d5697145d373d9,
'zhq': 0x18b0c4c764d07a101a25e3f51ce482d9,
'aiq': 0xbfdc8e99b0f7700e040dec7273668a5e,
'biq': 0xb7021c8a7b53a14e26a484447647738b,
'ciq': 0x71ed972e5bcb5da7c26284c94a5d11df,
'diq': 0xb4f069d381da01436e732806111e1fbd,
'eiq': 0xa01f46bc3bd88cc65671dda3f22a1366,
'fiq': 0x19127f4320da9ab81e70929165f7ee9b,
'giq': 0x6c62a877821126cb2e17b9c18c53be2e,
'hiq': 0xd28a05318f36976945560eab95536d8f,
'iiq': 0xc4799903257edcf6826541c04f13981a,
'jiq': 0xbca191074ebb1313bfb78100e68cc2a7,
'kiq': 0x61ef47bfdf2700477c139616ef34b8aa,
'liq': 0x217b2b6b845e65cf3be0dc0e7707c8e3,
'miq': 0x94e22a0a241ef1215e1ac3590bc8c321,
'niq': 0x3fa0ca0f183120c91131ab7f480ffb90,
'oiq': 0x4513f95d61395de1d18bbaffb25189fd,
'piq': 0xf28184b096915566bc84313f88acd489,
'qiq': 0x5d1032ad8098a4ce31943c3a92c32a28,
'riq': 0x28b4559e8fce9d6ca963ffe3b644e815,
'siq': 0x1ac0aea57a18d096dca32ad1fbf147e0,
'tiq': 0xa3e87a40f39b66e3cef6abf02702910a,
'uiq': 0x0de7f1204f3e53db2e4a14ee896a2322,
'viq': 0xd1d116b6a67816db6dc9493814d935f7,
'wiq': 0xabb3b33bedc00bf9b87faef51f100ead,
'xiq': 0x8f5c96e2b3a7506eecb1595baae3d82d,
'yiq': 0x46d60b78c79d683d7407588d92c2802c,
'ziq': 0x90b7f63686c6e902712e0e1fd7d8db3b,
'ajq': 0x4dff9226faad24d0e194c20228cd4ce8,
'bjq': 0x5c04f58b260c713495e0736235927b0c,
'cjq': 0xee35e0172ce4341b847610cf132cbf28,
'djq': 0xa319079bf39d1710d4fb78071e68f5cc,
'ejq': 0x4eb34ab1a8224c34ab44c71465ce79dc,
'fjq': 0x7503d256e3565f6c0cd8ced82ff0dfdd,
'gjq': 0xf91659296f5cb7d328311f3c40d5258c,
'hjq': 0xa3873b4afab737de6523673f8e989841,
'ijq': 0xdc5e477302dff650e8b71c598ab9680e,
'jjq': 0x30c085c0404636afb7e8b8f8a6b3e040,
'kjq': 0x533fe1b069474cbd1cc79f1afcd33593,
'ljq': 0xdc2870b1dfdf0fd2c6fecf13d3de0a68,
'mjq': 0x236176af179c692684e83e73ae6118c4,
'njq': 0xa4643a23b98487e65fa6e7795293f31f,
'ojq': 0xa9f2da57f6cb05734244a5f7041543ca,
'pjq': 0x65cedd1e0c62ac8f62907f4c26347e87,
'qjq': 0x64043c634080735082fa5b62a7b10326,
'rjq': 0x7bd8ef1c0935882fb852ed1fb730f88e,
'sjq': 0x274350c6ac6141a4f8c0d8daf2f610c6,
'tjq': 0x7906989e85cbc80207fd0db4b16806f6,
'ujq': 0xfbf322120c5388a5426a889332c3496f,
'vjq': 0x6f94580c739efd9c17c8f6fcddadae09,
'wjq': 0x18e9c855004a552b0d8328bddfb160ea,
'xjq': 0x763b8c047da62a2699b620f8c696b9d0,
'yjq': 0xf60549fb3187b1c91ca4ac9dcbdb2f93,
'zjq': 0x24b0f8a1eed83972e86329a2405cd336,
'akq': 0x5e42d16c6585f5ade100478eaad07ff9,
'bkq': 0xfa3f9e7acc0c4d7abd28347d6520e637,
'ckq': 0x497085678962fb49eb2a6624bcdbd9dc,
'dkq': 0x49df1fbcb7bcac6c595c0ed59ef8a329,
'ekq': 0x32fa0ace16da2792efe462524bf06444,
'fkq': 0x79ce9d5c36c179c67588b3d919db55db,
'gkq': 0x2ad8eb00d900a6cd42538a31c17759be,
'hkq': 0xdbec7061d935ea0427ac309df8392efd,
'ikq': 0xf93eb767d62c9c817859d59a1b0d78c9,
'jkq': 0x82e94595c1d01bfaec167a7e72174660,
'kkq': 0x286673e96d3b2921b39e08b6d8e7f414,
'lkq': 0x056a80f96f504a4fdedd40544656ee97,
'mkq': 0x7210e733c3f3b28be8bf7ea33327d9de,
'nkq': 0x32ab4be41f3f965a585e19d33df87b3b,
'okq': 0x0e8a838b37c9b3abd9cb6cd6bb9773d9,
'pkq': 0x4f1f32c46f0a22928a2d5bb715798b2d,
'qkq': 0x1515df0bc96a822dd2077f8b131b853a,
'rkq': 0x353cc3414855de767a71dbe995e2516e,
'skq': 0x5f45ea4636ca5bdfae43e309e630b7f6,
'tkq': 0xa895d8b03bf724573078ed5ce6df103c,
'ukq': 0xdd5c600057ecc5483da5ed5c1bd1ed3b,
'vkq': 0x9cce25856acb7c63e24e383a02d1ece1,
'wkq': 0x6228dd4856f1af320d1f3a340eb4eb43,
'xkq': 0x6bd37d382fed677c4e90117903d54dcd,
'ykq': 0xd5772e80bfcbad5179f7a9b50c5e82f2,
'zkq': 0x818c1af660d82bcb02c104907751d982,
'alq': 0xefbaa15c9b42fa22cc8d382ced74816f,
'blq': 0x777c818cc479e28994a2390d47ec09b0,
'clq': 0xbb7d2333898b71bce22f19b16888882a,
'dlq': 0x07bb489d09494a9d4071f5ffa6223d45,
'elq': 0x45b4ca7816f486beec3b30ced9dfdbb4,
'flq': 0x954f41945ffcf869fa55a6d6d921e4dc,
'glq': 0x96bf5f740b7abec6a1223f76554def0a,
'hlq': 0x9b0a35331e10c1605ceb1d46d1e5b135,
'ilq': 0xffc9892faebe5d2fecba6c8d620f7ea6,
'jlq': 0xb0c79c8719111a796f2fab07ed1561d7,
'klq': 0xade0721065f344170587ae5a0cfaa286,
'llq': 0xf0e442afbfd16596d6f566399f490444,
'mlq': 0x236a6f4569b6650bf5540cce451b91c1,
'nlq': 0x52b6162778cf25236c0e21c4165a6460,
'olq': 0x54580cbff4af4bf0433b2f470b112ca3,
'plq': 0x3ece904cbcb922fc0c874e5822d96f9e,
'qlq': 0x60cc8664d8e6854b7716f04d5ad2b9d8,
'rlq': 0xd4ca7f308bd8411d87c1ee18d3b3e633,
'slq': 0x1f977b0c38caad0ffc7829c0f8a9cd9f,
'tlq': 0xa41337c5f65da0d8fa139e81317d1b18,
'ulq': 0x04f812e23f91a9fe229061d71a80e0bf,
'vlq': 0xf1b78c9608a71507561b18ea904e0db8,
'wlq': 0x39da3e10f68f1ffe2b97d7f6fac34cc9,
'xlq': 0xfe31a4284adc208e9d49acdc882fe98b,
'ylq': 0x05c2e308499bf3be5edee130a9e1083e,
'zlq': 0xf797f1af386dbcc74bff292d19616914,
'amq': 0xb49dbd22d04cceac1514abf107d1177d,
'bmq': 0xa0ad2e3e4d1a1cf1ed1bfbbbdd69df6d,
'cmq': 0x673cd2647242b91d4d5df49a991d8498,
'dmq': 0x89ff602b84b79fc8ca011648eacf206b,
'emq': 0xef3cacaf440434063e5e8ff2fbca1d07,
'fmq': 0x6c6577af5434621fcfe2c7c0cc49d037,
'gmq': 0xa6660452306ad2ea69cbe822c7a6d8bc,
'hmq': 0x18742162632a2be39ac4d8fb10d7e1ac,
'imq': 0xc2396da12f73f7883c35f53c8d01072f,
'jmq': 0x427917ea04e912a67000eaed9fac564f,
'kmq': 0x7ee503880a3e21dc25b5998a19bee88b,
'lmq': 0x080b08c67fa1b5426be4ff612b0a36f2,
'mmq': 0x97434c3154bf727998ab131197094c6f,
'nmq': 0xbb877477545a9525d0c77ec2267675c9,
'omq': 0xb10e545b27e91acb9facf8fe49364189,
'pmq': 0x8e9d3f7e452c5105ea7eb84245f931ef,
'qmq': 0x5294f1f3ad4c51ec1604f94bb9baed55,
'rmq': 0xea48b7f3742e15096d03d14c0cb23bdb,
'smq': 0x40f01c613ecde32ad753fbf93bcf419b,
'tmq': 0x17ff026d024e1c7c9e4cbd4b0f0c94f6,
'umq': 0x31dcd032b8bddfe6548f6c8f5caaf576,
'vmq': 0x43a322af681005a84be952bd847b5805,
'wmq': 0xdc2d713ea0ddfbce2468305810e7d004,
'xmq': 0xb60088c65d0afcdb5a79c56aee07ca9e,
'ymq': 0x0e36f6e3611a581e00520a85cab23014,
'zmq': 0x70e19aa7b15c7994b8ad4fd86fec067a,
'anq': 0xfb3fcfd0f0b72bac64b805da06c7c8d6,
'bnq': 0xdfafc6a98dee0c7b64501548ec64b581,
'cnq': 0x1c2ad8bee4376eb38f7190c1f7d033c6,
'dnq': 0x1a4fb6af24b968353c7c4f6a420ea5e7,
'enq': 0x98dbe91ed4cb65817c3a61e6dd2b1a77,
'fnq': 0xf732eb41d175a2e7c2ed7d20d1792046,
'gnq': 0x7a3c7a31deb19e098f0827dec47f7020,
'hnq': 0xce2e3c033c72674953bf9874d607aca7,
'inq': 0xdfd99e70c070eddf005b926af7afd6e4,
'jnq': 0xb4516cf95769c510ca88d7952246b4f7,
'knq': 0xaea051570f30919b7fd1e1e4cc9116be,
'lnq': 0x088d664b72c8a7e3d7ae3cb92f8a3912,
'mnq': 0x18011a2d3e9911596b1d71165c688699,
'nnq': 0xad41d8158ca74850d1696f9bf30bdf9a,
'onq': 0x1483575cdffbaf61a2d08bf72f0db072,
'pnq': 0x65186990cb9f98c9fe4701285ae4c93a,
'qnq': 0x8b862c73020e2405ebed5d8b58d9a5a0,
'rnq': 0x8e4a75d28c28577f5a80a98bc275eac4,
'snq': 0x321a41f176db2c74ddc92beeca33161a,
'tnq': 0x2ce8bcbba0f4fe109af34a16fc86b001,
'unq': 0xbb00334c46b6c19f93337c6bb3c37596,
'vnq': 0xfc0e8a06dc1393a9668f8188b1b19c7c,
'wnq': 0xcd26944b36949563ad0bd06cab65b20e,
'xnq': 0x1b001316d1e1b2669237299cfb6a2f7a,
'ynq': 0x4644151ab2cbf659ba2ec18726889a00,
'znq': 0x3910ee7d8102eaa71cb8195e5062add3,
'aoq': 0x572bea7d1f6108b1562fc4242eec2de0,
'boq': 0x1305951b029daa9c563351d2a9eab7f1,
'coq': 0x666c5e16f4a89bc5a2f926b3d2e9da2e,
'doq': 0xb07cacfe484597c4bd846637ac4318e1,
'eoq': 0x52e22cfb25214f7f9b0b90033ceabb37,
'foq': 0x4ed2a2f19ba26559f2102399f5343fcc,
'goq': 0x0b8e238c731e8d0f453d81e2eba80985,
'hoq': 0x6baa26c77f6a0ef05f8cbe2b69257447,
'ioq': 0x01c3f3a1cb7041459ece08ef2359c714,
'joq': 0xdcd21da723c79bde808e531f31f838b5,
'koq': 0x5a9191f285c7e004dd31055a14eff45f,
'loq': 0x67ab168d78dcbce8697262f34de6c8da,
'moq': 0x7a5856190cb6fb0489d93e1002328992,
'noq': 0xdf2a61dcd5db4e439b98d8fa28347884,
'ooq': 0xfb1963491e0eea2bdf6cb6d3344f7473,
'poq': 0xb1fe54b8ed0b4c729af1b4bcf5b45943,
'qoq': 0xbaaed3a892b90b96b1a7e4e8aba85d7d,
'roq': 0x2c4685ad2d33f6a40e15fcda4a51351d,
'soq': 0xf0d932cf6e2ea9a40671f750214397cc,
'toq': 0x6c60e02542ccb296e11d2abc564abd4a,
'uoq': 0xe4e6d006a0521dac90daca456f043d40,
'voq': 0xa04395836423b1518353d49c8d9eb7e7,
'woq': 0xa2b571f94ecb59b48c68e0a6ca0eef3d,
'xoq': 0xdbd732b4ebec55ae4fc60126c8c2941d,
'yoq': 0x96ef69a441325c69d649b77baa533cfd,
'zoq': 0xfc35023170854145666f5bcd92abce2b,
'apq': 0x559e2c90c211a96b609c9d1af6aa878c,
'bpq': 0x074bf126e6dea6d1a7703a533416b55a,
'cpq': 0xbae8e0e96d0f012bf12aa3ea218c9636,
'dpq': 0x39e037e4f9586fd367447ecb36c3c637,
'epq': 0x544a6afa4ac2240fc740a24c9ac5dd7c,
'fpq': 0xabb5dd08bac680261dafa4c78af6af7e,
'gpq': 0x45514c1b4c5889614840148b675234cc,
'hpq': 0x914f63bde37419b46679de701af45b18,
'ipq': 0x711804ef5fae417179ff243414e8de85,
'jpq': 0xd55f4a4074fb1aa37f94d80a1fed8447,
'kpq': 0x50bc05547e0327f1bb0e1dca0ff5351a,
'lpq': 0xc8962bb6463ffcf8cb9cffa8366d70f1,
'mpq': 0x1fe7eb197a9fadc2688f2fff31ef26f0,
'npq': 0x2de8c5cbaedaf6720b2a1007ba5f0ac3,
'opq': 0x479068cd1993969ebdec39f6cdb08e61,
'ppq': 0x9f11c10b5e21488df16be85ab0a78cd4,
'qpq': 0xd569af064e3563bffd9556d313454613,
'rpq': 0xd17c005f6ba5794f017259cce015c544,
'spq': 0x2df75afc91c620ebe23ffd1abad17cd1,
'tpq': 0x251e0a886d70a434fb330f7833e83d7a,
'upq': 0x2ee8e9a8eb3585e6505facb0dbc07938,
'vpq': 0x58e22650fa041e31212e5402071f51ad,
'wpq': 0xb39edd0d49bcb064707bb0a8538f265e,
'xpq': 0x1996b45e1ba95f0c522656fa1ce6f0cf,
'ypq': 0xf131cfeb85632a6e01e40003b5583c60,
'zpq': 0x1844f87975024a4b9f405ce209cb6b66,
'aqq': 0x5c29c73a81f8a55036eeaddc155cf02c,
'bqq': 0x608af9559f09eec0ad1509de47759443,
'cqq': 0x8c6fe6437b203b7687e1ddfdff1e6f4d,
'dqq': 0x63cd09f02f6cdfa27ecb6529468ab848,
'eqq': 0xfc71ba6ad695a7130c5a44cc5e0d8c21,
'fqq': 0xb89971da87b54e0a02bd9f203f066683,
'gqq': 0x76e206dbbc676b540e4dacf9ac69990f,
'hqq': 0x9f7e8d75cf96f801790f16839b7c642e,
'iqq': 0x033f15795ac71684e3f7332adf3afde1,
'jqq': 0x3f560d6904245ce3befde5a2a0b0df30,
'kqq': 0x69effc945bcf3e4bd19a73a0b7e64bba,
'lqq': 0x60f8ac0818d050a292ffa9615280e55a,
'mqq': 0x8454317345ff2ab168bfe954f2ea9d3d,
'nqq': 0x4f3fa7e959789812dec6528a7e14cd39,
'oqq': 0x41137a99b49a0be3b6f32e39edb7d41f,
'pqq': 0x12b989888ce9ade561e7412bca16c3ca,
'qqq': 0xb2ca678b4c936f905fb82f2733f5297f,
'rqq': 0x2f7aea4c9c1cecdf5ba8bbbfd57e7b80,
'sqq': 0xc3b2e0d5d6d668736df58838fbb3caa2,
'tqq': 0xc150ad55c100e7345bbbf22bad94de32,
'uqq': 0x32729008b6da6ee7bb3a0fbbab4fff59,
'vqq': 0x67673c1eed02db1669818ced90fb0ce3,
'wqq': 0x6811e4f88eb5ee02275feba49c774584,
'xqq': 0xb71fd2cd6fd8063840f0e27645ab1981,
'yqq': 0xe10f3fd0681f430c266244c738b10be3,
'zqq': 0xbd8c9bd2f2fa87914fba54fb622feb52,
'arq': 0x984205cbc1164164190a64eee175bf67,
'brq': 0x3842bc4a3ca1df198b89288f3ebc3ea7,
'crq': 0xcc500c485c095baa790cba51fc8079f9,
'drq': 0x4cab1c6a9c54cf13a3036260528d8c7a,
'erq': 0x4bd1a07d59e1dbf29eba8cceddb00f37,
'frq': 0xd1103521468423cafc056738668101aa,
'grq': 0x055a3d8bcb0a13701f8bb4e9bfd03f40,
'hrq': 0x199d8023b5f4f19b3bf13588a2b83b34,
'irq': 0x0246c2251217c97899bc8c89f5126045,
'jrq': 0xb75e5bc3defaf94a4405a5e80dddd1bc,
'krq': 0x535a10f1ac9c3a1e7819e6b2a23e6fc1,
'lrq': 0x3dd5f93092b3d30b2774e7947b3a8a93,
'mrq': 0xfed86d76f8faeb4ff6e022315aa8251c,
'nrq': 0x3b3e362c26a202746aef751d0cc82f83,
'orq': 0xf02bd6ea26a2285da2ea17a25c0bf827,
'prq': 0x579758451927356eb488aa91c35eefbe,
'qrq': 0x5e0920a14534bbd3d6584720b437bda9,
'rrq': 0xf5154462d6d9d8609fd31cce86888d61,
'srq': 0x2c3bd8014a8611165eb364790fc3dbbc,
'trq': 0x49702711ca1dd264da673c1e4a22aacd,
'urq': 0x3ed37134af557cda9c9f67145e6e61b0,
'vrq': 0x9835da46945e44b7ef65f14e39bffc73,
'wrq': 0x608f1ad03f121328994db9bce29fc9a7,
'xrq': 0x2a3ae0de5c980ed7945212fe9192a3c8,
'yrq': 0xa07923efd64b7b1816a46f68d56ded73,
'zrq': 0x3de82c39d7caf14cba202bc5f370a551,
'asq': 0x1cc18548883588e18b98e37b633b2d4d,
'bsq': 0x0ad1a8d7dee5a89461ed52a717f66e41,
'csq': 0x849eee2a601c3bad3d13eedc864c906c,
'dsq': 0xfe37defe4f8d4c738bbdda259ef79b19,
'esq': 0xb13640df13ae738448e7aa35be753459,
'fsq': 0x94c8fcb2aa649900e47d4733ac48f600,
'gsq': 0x31fcda91106d46f29f9ea389417561ce,
'hsq': 0x454db35cb34c037051a0adab17b4c27d,
'isq': 0x8751724c9a35da98229f2347284f9cfc,
'jsq': 0x989bd55ba17c57a87cb22dc24d1f15a5,
'ksq': 0x09c4af4a3592e3fd590c21629fad4e84,
'lsq': 0xcb2cae3e631e60d0918af478955f90c9,
'msq': 0x7041206c30b85805b414d992b9005833,
'nsq': 0x03664a1bb274312f2ec762e27d891162,
'osq': 0xb6e881b3debe79ac3d0d5d6b2b4173b2,
'psq': 0x8d04d9a7abe8640dd4313ffc61dd2398,
'qsq': 0x1eb382d402fef490ef2d60c68130eae2,
'rsq': 0xc60d63c12ea1bc22eeb5acf20527d580,
'ssq': 0xadc82fa9655e7e9ed06723535035cfe5,
'tsq': 0xdd9f5377cdc8c242e2f5653dd38b3578,
'usq': 0xf2c601ccf8fa10a9c4c3c3ee298a633e,
'vsq': 0x7e978a220b825cd36735e6ebad65a38f,
'wsq': 0x69b819b24572381974328f9ccb0ff94d,
'xsq': 0xd5fdfd7f4b6382f776ca28bd44ae1c53,
'ysq': 0x72ab94c6091fd35f86a4d05353231da1,
'zsq': 0x495643bff155f54d3642ede411523edd,
'atq': 0xf811ffa9462834c435fe67e7e6b0f8d5,
'btq': 0x78b52597091eba0d0148445b87f10aae,
'ctq': 0xef73c4826c8e276255a18bb72e3df535,
'dtq': 0x9989acc06dd9cca90520f060c449ed9f,
'etq': 0xc6d6313d4f53a2ee2dfa8091e26667ed,
'ftq': 0xccf0c402003edfaa3ae765a96d7c00c0,
'gtq': 0xe72a9ca59c2ca0595123a1b8f2763eaf,
'htq': 0xa0aeefa4dbcd8a7322177adf5fda2933,
'itq': 0x12fae8f0aefb71ed8fb36a64b7a7c7ab,
'jtq': 0x8de524d7f5dd7689abd5660d3de2106f,
'ktq': 0x6ed3c31f312b2170ca23f3bff25339b9,
'ltq': 0x59fa3511c81754dcd15f641655d2167b,
'mtq': 0xeae145c78d2c5cea89501704f29569d6,
'ntq': 0x949c2b03ab5c7172947ea53ac6a10008,
'otq': 0x20b664ccb6ed77e1f833a2226b77078d,
'ptq': 0x6be7d7c85b5551e7409aa0ac9d635049,
'qtq': 0xeac72de8cfe835de74d0b53f47b383c7,
'rtq': 0x3d307fbfc89a2ba3340c76f969c8d21e,
'stq': 0x74feccb5017b027340f6ce93fbe45644,
'ttq': 0x486bd12e45d7319546dba211789e58d0,
'utq': 0x62900bfa96def18fc90d20bc46441373,
'vtq': 0x34a22cfba30ed978321344a0bbc0861f,
'wtq': 0x10696fc4edd87bfbd1fed6f1161de6fe,
'xtq': 0x384f91bb0b7ddd10d4b31591d4c03925,
'ytq': 0x25dd142ae032f2dc7bf58b22d67f86a1,
'ztq': 0xf6fc7b5cdb6ae8aba55d1584b8729dea,
'auq': 0x5a20c071603b7cecd5cecfde1a224181,
'buq': 0xc13329f56b9e195d72d444e79122b55d,
'cuq': 0x8868eae1a01e5cfb22714b13f34aa8a4,
'duq': 0xf58a315bb5515dbdbab568d674b21946,
'euq': 0xe81a619c17291809d00d87da19657fc6,
'fuq': 0x8121a5aaa8209660e759c46eb54788f5,
'guq': 0x9b69a91ab96c5f2aa3fb485ac7e436a6,
'huq': 0xa161521c25f04113464d306d0ce26e40,
'iuq': 0x3926f242e7d77f42af08c402a9f42b19,
'juq': 0x1b39c5ff0fef5485931bf9a6019bd2d3,
'kuq': 0x0292a3970af1aa50451eb312782c756e,
'luq': 0x94bce5751038404f1b1ec8094a1e19a2,
'muq': 0xb534245b08f97a74ada4ad1dbfafdb09,
'nuq': 0x30a4353f70811b0b5ef3e8c164e36105,
'ouq': 0x98585fcdd6ce65e27d3c4e0a60bb36e0,
'puq': 0xc0ffbb8634e9a6067a98bd580ae0da8e,
'quq': 0x52a8a22af080121df711a0664a3e699d,
'ruq': 0x6d8d2fc55fb15103354dc1f03384d359,
'suq': 0xe957ba0795f88410181916f6b2d9095b,
'tuq': 0xb03f5925b94438e84cd862dc8eb44345,
'uuq': 0xde9ae0c5c0117bfe5dd402cb0cdafaee,
'vuq': 0x3e69aed9c973e963136bf3ffaef769dc,
'wuq': 0xb8947871f34bd026a8edb14531668704,
'xuq': 0xc86d7c0ebf2de5d325534f77215add01,
'yuq': 0x27ecab9e7106b16cff4f2b8ed2da6f37,
'zuq': 0x6d94dc6a4ee4b0f1067729d55a20082c,
'avq': 0xe0070b8dcaa584760725f3bd3a77d7c6,
'bvq': 0xa8be4d91384a96fc7cd79f37ca1f8cda,
'cvq': 0xb8f75fe3de4018536c7e1b4ce4eef38d,
'dvq': 0xdecc1d5568cb3c272ac5da82d18b3bfd,
'evq': 0x5b551764af20fd3e72660593588cc3b4,
'fvq': 0xcfb63a8e294729924a0f947822037660,
'gvq': 0x42c050f143db2e7e5f2b919d639960cc,
'hvq': 0x7208941c435319bfd5e0387a32444a2b,
'ivq': 0x1acd0ac15697df9a713501c3e737fd08,
'jvq': 0x13f85598a7c01385568f9b3deb7fcf74,
'kvq': 0x3111151190a2e4406fc5113ab907b96e,
'lvq': 0x9feade9833803543bdda09fab4884368,
'mvq': 0xf31958d9932d4c5560eb054b7034e89f,
'nvq': 0x2d1424b223491f690eb5c455803eb47b,
'ovq': 0x0fdf3fd0389c033d63818f007c345385,
'pvq': 0x2c3b665e8c587214694aa05c63394e77,
'qvq': 0x3354ef0a4b118f6f03724b482db08b28,
'rvq': 0x601d0b91e3adbba837976f5553cae460,
'svq': 0x8bc00883f552e38051424286a2bd7aef,
'tvq': 0x02d3e766034266af2b3cb22b245d98b1,
'uvq': 0x21bdb30a618b150ffc7aac60867a46dc,
'vvq': 0x6a66cc0176b2e5fedbd23e8d6ada5e11,
'wvq': 0xa39617ad644e04fd7ed1ad1249edb8e1,
'xvq': 0xbf573269bdbb0c45f964305208a76293,
'yvq': 0xb684991813d5b70602dedd59a80fa144,
'zvq': 0x393851fc4a3e2b8076f3e28112d1a750,
'awq': 0xb72c2e5a9144e63a094292c8070b4829,
'bwq': 0xc2c99a73bf22cd8c33e9df5970e489c2,
'cwq': 0x9b5f57cfb28b301058a30adaadafa8d7,
'dwq': 0xcac2c01db4faf27bdce5b3cb8f8c5f6d,
'ewq': 0x4d1ea1367acf0560c6716dd076a84d7f,
'fwq': 0x3bfd6fbee6a9b644cb35832335ce3aa0,
'gwq': 0x65bd3e96dba27691f8c33f149c5e5e83,
'hwq': 0xde9cba0e3f4604b0cf50fb67cfc9b748,
'iwq': 0x501889041cc17a8cf2bfb9f2bbbd2b27,
'jwq': 0xae5130b2e58528c9a917345b3828263c,
'kwq': 0x7aecf141564a45c1aaa10e1309a71e6d,
'lwq': 0xe2938aed6e1d405cd23718d9fb5f1e07,
'mwq': 0x06523e4a9a666687d334e41dab27cef4,
'nwq': 0xa90bbbb017a748e0775ed52c6de6eaec,
'owq': 0xf819158ec343d99fa4de95e7eba869b0,
'pwq': 0x02bebe42c9c9d764337451b7a8598237,
'qwq': 0xa078b88157431887516448c823118d83,
'rwq': 0x6882abe33d707231789b8c2458f32082,
'swq': 0x2392e13c1765b365a24717cd0db6b035,
'twq': 0x7a1b1627fbd44c31d1108f57a29a58db,
'uwq': 0xa635709b29f37a921edba269b6e81ea8,
'vwq': 0xf8bd42827266ac95f2747bf75358de37,
'wwq': 0x7dc6f5e1c139479e5bc2afb259e7964a,
'xwq': 0xa28673f249d1ecbd1d9e9c82f6673b26,
'ywq': 0x166724e6e41a58b578fd81919368b63b,
'zwq': 0x47ccc82abac13739393a94ddb1abfce7,
'axq': 0x7b01c9a929b344d86a227013b77c948c,
'bxq': 0xb3ae6e3182de8c5b3e7bb681e54223c3,
'cxq': 0xfad0f2a68dcc1aee15301cd4810c2fac,
'dxq': 0xf8ee510baabb3c33cd04dd39e41587a0,
'exq': 0x5f251d47d427b94686ba7e35857d820c,
'fxq': 0x3ede1cfcc5a0e97350685fc746ca1420,
'gxq': 0x28923c7c615d2b00dbe12eee194e0541,
'hxq': 0x375d9ac60f86e93f8172bad115de6afa,
'ixq': 0x4da01c4b904c1f4ea7767e8444c2270b,
'jxq': 0xbe2cdf2953946189577c97cbd6b002e3,
'kxq': 0x0ce164f18c8989aebd09dedb6bcf553c,
'lxq': 0x60e57b520f3c52694a88611a7653f079,
'mxq': 0xe8b7f5d07197272468b3beacb74242c1,
'nxq': 0xb3af7eb1844098b3f3ac7c18afc5caa9,
'oxq': 0x36cbafeddee769d13e9fbcf0dc2914b1,
'pxq': 0xc4ca0f50f59e700282ec90b99ef4253b,
'qxq': 0x3d7f6fe6cdb41e1496da1e0fee395b67,
'rxq': 0x5a3f119fb2bb34537b9b196c4288ca92,
'sxq': 0x58b627ab1c9dce6b19f32303d2d6f22a,
'txq': 0xa9c132f04fa8287b3bff8ec4c537f7b0,
'uxq': 0x9423051dc3730d6e439dbb4714112b96,
'vxq': 0x7dd29191ab86cbc723616ae646d2d402,
'wxq': 0xdd78b5f11755d1aab0ebd2c42f9867e2,
'xxq': 0x5cca6754e5c158a770be7264916aef59,
'yxq': 0x2ae0bd2232621c339b4e9f6d382d3231,
'zxq': 0x9f5f640fb9768c57eefba475f8899242,
'ayq': 0xa630bbb8293e74e8b54006ba67b73ac9,
'byq': 0x145a2ba9c214038e9c28270bcf0d4dc9,
'cyq': 0x24e089d29e2437e484fa166ebb2d6bab,
'dyq': 0x7411ad30e63f08ff23616da0dcbdea3f,
'eyq': 0x9a3e81c5d824ecb8d8c445713dcec1c7,
'fyq': 0x2c20d94fd5311d3acb9e3eb828d7e9f3,
'gyq': 0x1c46a800e900fef5cc3232c443936e8e,
'hyq': 0x3eb0e8fb4dc4df71929dd728eeee546e,
'iyq': 0x800815a8c5403f9d7ab004add7a7e9db,
'jyq': 0xf6eaf97fb9b8e9e6ddce57b67694b352,
'kyq': 0x10ceedeee7f7261d25a96359c3e62190,
'lyq': 0xbaa66ac74de93b1318597b4073911740,
'myq': 0xd9f54880cb67f0fcad0b6c679c1e6ccb,
'nyq': 0xfc77b2414b1feb3cb9e28a635a96f12c,
'oyq': 0x0f1bc1cd1286b67680d0c10e5ec01a6b,
'pyq': 0x28552e70982a9cf623d181c4c97545c6,
'qyq': 0x6f8491b14b46a9cf80e9ca793827ebaa,
'ryq': 0x321292cc2149095ae20cc96b440d2e58,
'syq': 0x6b47c8e201106831a794e3484e10795f,
'tyq': 0x7975867fbd4763efe7947e292f6163e0,
'uyq': 0xe19bb59ce8f7ce943f95f95107ad694b,
'vyq': 0xa4cba37bf4f804bca715b3bd25d86a29,
'wyq': 0xdbb4a18d482c44dfaa9bab620e5747d5,
'xyq': 0x7ed6365ba26aed89979be27d6fd1586c,
'yyq': 0x7948be85b53b4fb418a1be145263250f,
'zyq': 0xfe98a94d2bfcbfee0d6b2632ed116fc9,
'azq': 0x60860a098a5db70fe46ea5fd34fd3e1b,
'bzq': 0x8ea3f1b85bdc46138d15d699fc8a60f1,
'czq': 0x75b9fcf9685afe44ec2798baa4e5b25c,
'dzq': 0x4249ff8905e8730fbfd712b19ed18ec8,
'ezq': 0x288eef2ebbe16c9aeae0a1ac6e74e3c6,
'fzq': 0xcb734d8cdc6ff5040c711648a417cf3a,
'gzq': 0x3b329242a3d2498d313f71128f708f8a,
'hzq': 0xa1f422ab3eb31059c22a4a3750560a03,
'izq': 0xb7519a0dd99b02100bca16f0ddd5743b,
'jzq': 0xaef4af9a59c7af737e5b2ebe4615e88a,
'kzq': 0x5537998bb4e00689c0a870dd1bbf5598,
'lzq': 0xe7323ffbdae2c49b1b52583b87b635ea,
'mzq': 0x098a95947e4486023cb83d76f0f70d5d,
'nzq': 0xc64b526434ff1cc75916cfd5313746d9,
'ozq': 0xa88adea8562f6541503de52a05ff2dc2,
'pzq': 0x0d982885893cc6ed33088f6b973e0bec,
'qzq': 0x2049783276f3bff62174b0aad1a0fd5b,
'rzq': 0x981fd9cadc00a2ba1844115971e5710c,
'szq': 0x442a36ccc45001169472dd902807c726,
'tzq': 0x5237035cefaa1174b5298db46254c3e9,
'uzq': 0xc4b8ce1b67d38aa98345f108f9f529ca,
'vzq': 0xeee4c730edb7c655bdb185040dfc3a81,
'wzq': 0x175d4020fe13e47d38baecb4713fb04f,
'xzq': 0x341a16c8a49e0376850e1fc259ec0e89,
'yzq': 0x7667c46828a340b3df237c37050e8f29,
'zzq': 0xdcfdde909acb47b9d4ed618e8642e3ee,
'aar': 0xbfd2e2d0b502df8e078e1ae470a839b4,
'bar': 0x37b51d194a7513e45b56f6524f2d51f2,
'car': 0xe6d96502596d7e7887b76646c5f615d9,
'dar': 0xac638a13498ffe51c65a6ae0bf7089fd,
'ear': 0xd8ff99616fc9df8a54a32eec86ba8109,
'far': 0x17d965747c701d6ffb406cad0f4265dc,
'gar': 0x4618c2b26e9e222b2cf19471e1f2af8c,
'har': 0x7efd1210b31b96d372a4d1975a6941f2,
'iar': 0x792a3194462bce7c44b400b97f187a97,
'jar': 0x68995fcbf432492d15484d04a9d2ac40,
'kar': 0xaa8ae3b340c34010e4500a0d6294dc2c,
'lar': 0x540497198b6b1f33e890e10f9742bb34,
'mar': 0x5fa9db2e335ef69a4eeb9fe7974d61f4,
'nar': 0xc0c669570f0dd6c896db86e0447802e8,
'oar': 0x82d8a8be8cfb6713683bae3c160e3007,
'par': 0xd018268506e2868537a478629b59e7c1,
'qar': 0xa76b31036e209b2c627b993e5d3fd361,
'rar': 0xbf0cda1e8b92bf9c134c0a8291e320e7,
'sar': 0x74101aa14a1d883badc954c4f462e365,
'tar': 0xdb5570bf61464b46e2bde31ed61a7dc6,
'uar': 0x355cb440d65f09747230e8852b19aa4a,
'var': 0xb2145aac704ce76dbe1ac7adac535b23,
'war': 0x4ca9d3dcd2b6843e62d75eb191887cf2,
'xar': 0x51d5522baf939027bccb1ff79c154c3a,
'yar': 0x883452d07c625e5dbbcdaaa47f0aa92d,
'zar': 0xb24d4be77066cb0bf70247b7d9176ebb,
'abr': 0xfc1e82b9a18586b50eb40c3867a61bc9,
'bbr': 0x756fe2b423fddedb2960a247031e4cb1,
'cbr': 0xa8186307f5bbc554b722505f23cfc81e,
'dbr': 0x63ba4b6a2bfae4e7fb1e754d8efc9037,
'ebr': 0x071005a947a6520eab5f9512f31dc298,
'fbr': 0x06db955b5913c431ec5ec30c67d78cf5,
'gbr': 0xec8989f78fab481d87f43ecacca55aa1,
'hbr': 0x575f041b5e3cd0a6affcc809d79da8d1,
'ibr': 0x0b005f99fa635b476164be20dfbaf7ac,
'jbr': 0x0a64f50d49e9499f24e481ed2fc9453c,
'kbr': 0x4bda4216e1e679d58153b0538c698612,
'lbr': 0x698b740a7075bada0ad7f541c3964e44,
'mbr': 0xe4c5a79f94c6b300ef484a417e3ccfb6,
'nbr': 0x1fb5c4179c7734f9c7e47c8f5ccac5a3,
'obr': 0xda924fe5d7d8072dbf838ddfbebee4df,
'pbr': 0xcdc3ae6882ab6133d9448100253b6da3,
'qbr': 0xa5456767b954caf16ac9299e58eff1f4,
'rbr': 0xc25b2f79797c0db6d0f79524b6636d95,
'sbr': 0xc0b5d39cf3fc35ac592b4aad14b30c0e,
'tbr': 0xceaab931e75d8a7dbbbd4e340e8ba152,
'ubr': 0x479abe7acf4a510702aced4961dc8edf,
'vbr': 0x8934a03621a3cba7b120185ea4d9aa25,
'wbr': 0xb48f3ea6e4f4f4285f69918ead79ca1f,
'xbr': 0x819b5f27575cf5eae94864c030ebc192,
'ybr': 0xa611baf08754586a0bd4ef3e571bf2d2,
'zbr': 0x58bcba11f0d663c88255e8c2ce5a7e2d,
'acr': 0x9f8878742e956027afe7786868dfb506,
'bcr': 0x19c5284143464e91fdec74a078005500,
'ccr': 0xb48ec279411f7dbbb68393c61a9724d9,
'dcr': 0xcad62314330b0a7a106aec2b9b6d9411,
'ecr': 0xde7db04805a33606a40b897578543648,
'fcr': 0x02de45aaa805622b2f8ef9b317826b53,
'gcr': 0xb634e75f655dff77257ee6acab07b747,
'hcr': 0x7328ffdb9159544ded1089b798408ae7,
'icr': 0x58f4ad4b11a5dee20fb6a94abf5f9310,
'jcr': 0x6426afaaa7efafa557f04664322e5c18,
'kcr': 0x14fbd6d2351cb39f0168de7287d0a887,
'lcr': 0x0c9bcffee34c2bf9fd9b83acfe7aebbd,
'mcr': 0x42ef4c9cd5923ada0be5833c43f1d2e4,
'ncr': 0xc9c2956ce7fe96adeebf39a5311ed2d3,
'ocr': 0xe937d7a161458fb314ccbbce94150e22,
'pcr': 0xce5256bc9919dfe0fc41de42b12f1d3a,
'qcr': 0x22674fbd11be5883b59ae7d8a95c2c16,
'rcr': 0x247b8bef1e534a6ecd9c4b87041a0e8a,
'scr': 0x456727ac6d97e749f87ec95009617bd2,
'tcr': 0xd4b2e776fe3413156a72ce8dee43f310,
'ucr': 0x6cffd99a02e79e9dbed43e787512635c,
'vcr': 0xc957434d5046bcbcd48c62a49459b910,
'wcr': 0x95d9945a7e9888958aaf73d06051bee9,
'xcr': 0x0839c4b601782ac26addf1aac4e1d69c,
'ycr': 0xc7eef6711a75f2e6709d5b42ac9410dd,
'zcr': 0x022ed30a8d1a67d798efc92c3e88e716,
'adr': 0xde7c54d99428fb909bef013577070f0d,
'bdr': 0x539e3b7376faced9f29c3ebb813ab622,
'cdr': 0x30491931d0d510243046864dbc71a8c9,
'ddr': 0xb9ce391e970ede27e9eb0c3f6ef3f274,
'edr': 0x02b7e6d9887d34c42d9204e727b91068,
'fdr': 0x343df2065675b9092473771511110b02,
'gdr': 0xfff7c7603b50cc39962ecf42277c0d0d,
'hdr': 0x4ccdcbc7ec60819cfb8bca1c20862b69,
'idr': 0x38d2ddea2861d3515818bacc51818adb,
'jdr': 0xb2b449e81749a987436c0cffa4482602,
'kdr': 0xcb58e6788fc9a69c674bb00f98bffc14,
'ldr': 0xb4a298122adee74c760c97a7ea6e5eec,
'mdr': 0xf9824ba4a0c1053d3c448d752236fe4f,
'ndr': 0xd74e97d017d1d868c59d07f022613670,
'odr': 0x1490b5fc3f21959eb7e43c7355ac5104,
'pdr': 0x9149348a18459bbe18bcab66b06f1967,
'qdr': 0xecb02cfa6713be936376873193eeffb5,
'rdr': 0xfea7c91cbcd83e04bb761416601724c0,
'sdr': 0x8220b4ee3616cf3d58d7f73a118d4a63,
'tdr': 0x059caf18c820a78f87205e66126904e9,
'udr': 0x1144ea8379574ca04550be4e7fe940a3,
'vdr': 0x20a7ec1e4c28e748928ffa135ca55fc7,
'wdr': 0x5f32665da5abc99a675befd7c703fe7a,
'xdr': 0x05e46a892c9f038a22dddb6b2877477c,
'ydr': 0xccd5f4b1e51e34979838851a8d4f17a0,
'zdr': 0x9315de2a6bf976864192cae61821ec31,
'aer': 0xd194f6194fc458544482bbb8f0b74c6b,
'ber': 0xc9fedf43460997594c3cd56c47cdd6ee,
'cer': 0xe23ca1e4e92fdc29b4d4af7d4d33263b,
'der': 0x6bd48b1e57856137037bfee4dec8d57f,
'eer': 0xf38aeb65a88f50a2373643a82158c6dc,
'fer': 0x90eb8760c187a2097884ed4c9ffbb6a4,
'ger': 0x98302eb9727009d08199b25b7b72b1cb,
'her': 0xa43b4caa46fb39a1d48b89e25f0e79df,
'ier': 0xa078fb91566687fc624c0b92485f923a,
'jer': 0x8f192fcf63386fa01b7ba156f3022e00,
'ker': 0x4e27f2226785e9abbe046fc592668860,
'ler': 0xa2c74dd68dbd8410791021e4827b407b,
'mer': 0x2af9ef9aaa6d32873e51431d5cdd3dfb,
'ner': 0xda1a38f3a450132623ef0a9c2d06b986,
'oer': 0x5b755730fd9df79c6ac4b541fee23847,
'per': 0xfe3838c7c11aa406dd956566e17360d5,
'qer': 0x1441cfd34ae99b50910c2ccc38444910,
'rer': 0xd66c264e1dbd73e6111d3ffc70908e8e,
'ser': 0x9df1c16e82351bd6abc74d230391cd1e,
'ter': 0x322650e1328739dbca646008305dd95e,
'uer': 0xd27603272c722655e3af9d416c3b0a0f,
'ver': 0x0812f14f43315611dd0ef462515c9d00,
'wer': 0x22c276a05aa7c90566ae2175bcc2a9b0,
'xer': 0xfaa709c5035aea00f9efb278f2ad5df0,
'yer': 0x9e4105d172e0c26fad98471f9ffcadf6,
'zer': 0xd674a71e054c2c7a6761c366e6eb73c4,
'afr': 0x748ced3dd3add8223b8f2e73f28ef722,
'bfr': 0xda45d024f091e6b309904e140e86affc,
'cfr': 0xbe94ccea53a936073b0df815aac8e6f9,
'dfr': 0xab127ff4625f98cc88ff0e0f1f911e64,
'efr': 0xc6e285907444ace4568ae3dfaaac78da,
'ffr': 0x22a8dc42ff1026051367f4a76bf896d0,
'gfr': 0x27d0d0a8d55bac261789260651e4468b,
'hfr': 0x4a87d9276892006dc60088411826a0fe,
'ifr': 0x3bd29e58a2ed049848d7803c85ff3cb1,
'jfr': 0x34226a0fd95abd0f6524b83caf27d974,
'kfr': 0x517e8d4a5eb590eea4ad5e9bb0e426ac,
'lfr': 0xa93a9f17ab21df2028e893c7a7e1b4a2,
'mfr': 0x54f901ce508a34bb2394e34ac2371812,
'nfr': 0x02defad7ec9c3ce14c3f67ee260072f6,
'ofr': 0x05de0817ff61137e8fe729080a456caf,
'pfr': 0x2e1f2991678cbdba01d0412a95049341,
'qfr': 0x209206407178379f290f5d34546142d4,
'rfr': 0x32918320e34145e38401038af541b0e9,
'sfr': 0x3ae71d9805bbfe325bb5787310e6a9a2,
'tfr': 0xdc2b400be79cc0b9776dcf9dd5d6e923,
'ufr': 0xf898df88d59f88053d651fd53bcc2a7a,
'vfr': 0x4f8ee9648840401ef4f13fe88435ddc6,
'wfr': 0xb5ee44d7316af452747f43409a1857f0,
'xfr': 0x52d8d5f634814a99828c9416d4e94316,
'yfr': 0x27dd0adc9522cdff5117133d6520a4a0,
'zfr': 0x6d1f7d4d1ffc302eb0d50df1c9df8526,
'agr': 0x348395d346e03ba2c56db7827d319b66,
'bgr': 0x84746ad530563de3445efec60aa7ff59,
'cgr': 0x2fbecbcc914e8e57f3cbaf15f8eb5a68,
'dgr': 0x244f7dd8d19dfa57095d58a315f79da9,
'egr': 0xf6fad9ad138f09b0ae79cad34b690900,
'fgr': 0xc6c3722a19e41c75fedfe8223bf4bd0e,
'ggr': 0x9c426349882d858347b4d810160dd15a,
'hgr': 0xf276a5ad8b3f0f4321e37e98371f31e5,
'igr': 0x3741ad0b124bbb41dcafcd9af3ec3476,
'jgr': 0x2829a0eb6cbfaf2228f40d743ae727de,
'kgr': 0x18509498322fd3b87f552dda588ed316,
'lgr': 0x1d399c5af7d0188ea2ba0d63946a7d9a,
'mgr': 0x37bd0d3935b47be2ab57bcf91b57f499,
'ngr': 0x2bc12977899899e17656a3fb4488f4c8,
'ogr': 0x7f2ad88ce7f815d24b4f5efe82da83a2,
'pgr': 0x6d00df506eed78175933b5ecde287c64,
'qgr': 0x512f49a60edde240bfcedd4aabf41fdc,
'rgr': 0x5828bb6f63885517f2710fe2371a9af6,
'sgr': 0xe46a1f5dbb9a45681f26992fc8754a49,
'tgr': 0x2379ec87d135459f0424f394c00c3812,
'ugr': 0x4ac6f8b642eccc9f22fc07cd4f22bf6e,
'vgr': 0x0dcda7111ea59769ac201a1d36d1303a,
'wgr': 0x7630cdd2c7188efec7384ab7354826bf,
'xgr': 0x05e049a66f147cdcb9215140366f2671,
'ygr': 0x4af33efc68a3c6fbe757f4b36666aa06,
'zgr': 0x47a3e18c87d71db19d3d7857a1052462,
'ahr': 0x35b605f929209fc6cba65789d1f6b61c,
'bhr': 0x4c26c97ab3405728e4518b11e6d235c1,
'chr': 0x599e41d8cd8cf1ea79e494df54ede29a,
'dhr': 0x89c62730876da4a266c46af21ec60364,
'ehr': 0x77eae7aaebf39fd0c8bef84e58b37cfd,
'fhr': 0x1ec75a8bbc76c5b6b37491e613d2acc9,
'ghr': 0xcd8e67ef15114f06a34d85ae70a7b860,
'hhr': 0x37d93e509ad9810f189677578d0125df,
'ihr': 0xda6ac101b05b6974d66e6485b7a34629,
'jhr': 0xb5dfd1677d909a8d086eac33004c991e,
'khr': 0x2ac6714e58958808d9abf62a182d7089,
'lhr': 0x3996643de967b80174e48fb45d7227b1,
'mhr': 0x143d650435967dcee49ae7e90ed19c6b,
'nhr': 0x25ac7375c1fd64eca8dd8cf309071c0d,
'ohr': 0x3143c01b76f4ecb9b29992f0685da52d,
'phr': 0xb266e47eb657161825cded6cc0dd5730,
'qhr': 0xbba36748a201c49bb3123b5c6b34add9,
'rhr': 0x981e8cc039b33d06dc4916178f50c50d,
'shr': 0x82cfb068052c46d36d9050ce1fcbaf2e,
'thr': 0xbb629dea7af8bce50ce94bffdc515405,
'uhr': 0x1da1b478b4eab71c98527b678e201fd4,
'vhr': 0xb6be0fb133de3084a8d453bd4e63e724,
'whr': 0x85418f6b7584d930dc63f39a4a6b7dd2,
'xhr': 0x4d1ad43b240cb75aa65040538d578676,
'yhr': 0x5861a28226bb4bac95737de9f004896f,
'zhr': 0xfb386bed8e3fbc8d1b3b2662fd847ad1,
'air': 0x3c4588116394d2164657875b7430907e,
'bir': 0xd706870ecb8bee9c7a64f7ad569e4da4,
'cir': 0x200a0788aebd9afa51a778331cb0d3c8,
'dir': 0x736007832d2167baaae763fd3a3f3cf1,
'eir': 0x72339ce1db2d58404ce9afd0cc8ff60f,
'fir': 0x1846c75923656922409346559bd15573,
'gir': 0xe589d341207cfa0210eb13e751b4656a,
'hir': 0x083c40ebbfe7920961e91425b6ac88c3,
'iir': 0x0bad7c2fd94d05c5536bc4f60af52440,
'jir': 0xe0bd88befa21c1fd487fe5b4e9f720cd,
'kir': 0x002e1a6e54da86cabc77fbb474c2df49,
'lir': 0x9e318174d24c1286817e269bf78a8c97,
'mir': 0xbc2e8b2ac93b02432d1816f80e26e7e8,
'nir': 0xb4c0de9803d05ee007366029d2a7cf62,
'oir': 0x21d6008fb9eddacc6e1c1b864f241174,
'pir': 0x4bfc20abc0e6830ce15fdc1a1315b8a3,
'qir': 0x1bb0e2f5a3bef493b749cddce29edf78,
'rir': 0xaeec645249be520c2b20c9d4b33912ee,
'sir': 0xdcff57c9a964f83fbf81cc75ec2e413a,
'tir': 0xbadb9bf8204a093c7a05ba7223f74043,
'uir': 0xe94c8db6a50df5f5f5cc9848ba8a817c,
'vir': 0x590f35821fbed7b2ab58a9dbaf36c42d,
'wir': 0x4c38b6b1835c6934dc866ef3dd858bc6,
'xir': 0xa37f030dce4ee733f1588a9bf10d4d0c,
'yir': 0x190195655a7739dc62be263c9fbd83d9,
'zir': 0x0940af0f2bdc6f646f5086aafbc18902,
'ajr': 0xfe170624f5852b6af7c787c1c707f643,
'bjr': 0xaec8097f41d57dd488e4a05f06db218d,
'cjr': 0x56b1b839743fd578b4d231dadb8d42d2,
'djr': 0x4b3e2f9b772fc45fc84d6c9913ddc83b,
'ejr': 0x1f2e841105f1a361d79cfd8e27b09dc5,
'fjr': 0x6f9c09d414c3a407dca9ae213a4bf7bb,
'gjr': 0x3fe7f943d223875d1d43427d95e65f01,
'hjr': 0xa6b770867f2a3513ce8cf087b880ebe6,
'ijr': 0x65c36ef63f0f285327d4a64666f1e17f,
'jjr': 0x536f148897cfa657aa974fdfc2b5ca69,
'kjr': 0x69e2e9b6faa43ce63a2ecee941ecc641,
'ljr': 0x1b51157b2b77ebeafc2c922dd5140b3e,
'mjr': 0xa0101d6066c1661ef038e46d6d89f226,
'njr': 0xf06cb16a159df99b671901e9875173f5,
'ojr': 0x6d51c9ce237af3f95df86877291ef44a,
'pjr': 0x1c6b9de42bfda32395ac47576ed4bf1c,
'qjr': 0x4b12c1644d118913cdbff6b37d06d9da,
'rjr': 0x437730c9e953566461037b29ca0b36cb,
'sjr': 0x17e32b1208cfc33351815ed609f6ed37,
'tjr': 0x32d4b91adbe3e0fde2b4494dd3db0531,
'ujr': 0xd24838f07341bd97596793a7bc0972d7,
'vjr': 0x1490602b22192efb5f7ca4f616296afc,
'wjr': 0xf69425d556eca2d90b82ecc4140f1753,
'xjr': 0xa4642cc420326d9e5e2f7f6e303a3c48,
'yjr': 0xd0b049666f187ac01cf272e95fe58743,
'zjr': 0xeb377433ca92d4eaf196ed541bd68963,
'akr': 0xf3ef9a0aa89a5100b6657b35bfd46058,
'bkr': 0xc016ad73552ab217f5a23b097c85fdbc,
'ckr': 0x10c65700a81ee22a83f1123f825f6ba9,
'dkr': 0x0320b7ad63d6e187f5f284db81176ed8,
'ekr': 0x46e5ce9a61a9d376bb6fe6318aa6b244,
'fkr': 0x66b62c1886683b0e66a20ae3715e26ea,
'gkr': 0xf80afd4f93613d205ba7b0fea3ae9be9,
'hkr': 0x2cb0985f22e099d18e0bd1a876d48019,
'ikr': 0x42210909312af60263cc21fa15009ce0,
'jkr': 0x4425fbc226e5962b9546dcfb92e9407e,
'kkr': 0x18b38bcbe603c320a88ecd4c31c19f21,
'lkr': 0x361fc895dc934f47c9257d8050ebccee,
'mkr': 0xa497866f9116bbf1b1e82ff5fae38e56,
'nkr': 0x0222d9813bd07e03eab4925f3388a3f4,
'okr': 0xfe49515bf8a5cffba1ef9abc28665a35,
'pkr': 0x9e2947713878cdaa68d84834299f84bb,
'qkr': 0x26c5146efa300b0384dcc1273c6aebf3,
'rkr': 0x7ba64906c960daa650e15d172a7cd45d,
'skr': 0x154211326b13dba32f059317703da7ed,
'tkr': 0x28127c71350953278626e0a78794ca39,
'ukr': 0x6eecdc762106c8f35f52e510dd061c29,
'vkr': 0x591e38da580c917eb4a5075d3c6574a5,
'wkr': 0xc5fec74f87a35b2eec68a5b5476d9698,
'xkr': 0xa75db4ba27967da94d3ddc3c3675bb9e,
'ykr': 0xdf4631ed5e55a2996febfbacac75f0c9,
'zkr': 0x65878519ff10efffd56da3e1dbab1427,
'alr': 0x2d7d8ae5a2303c46d1f1f5d75d715c75,
'blr': 0x73e588ba736daa50923d71ddb7539ae8,
'clr': 0x9f46c8f0b36988c8437f877fa293c656,
'dlr': 0x846fcfae6e840199389ec8fde0358605,
'elr': 0x4bbae18312fb55d3c9b7c6588db43391,
'flr': 0xd7a58e30ae87f756761af7e7f4ac9567,
'glr': 0xf45182c4ab2ec56dcfef65e83e92f76a,
'hlr': 0x8a76319249af3810e6def07b414d1451,
'ilr': 0x7ffaa0cdd21964333ecd1e7e4344cf5c,
'jlr': 0xe1d0ec734dc911362c095db5f236a45b,
'klr': 0x6c9ec47c8f022ffb4e739a55f2373e83,
'llr': 0xba9cda3ea441763fc9b01087bded7059,
'mlr': 0xfac131120365e920d07c1ef7f062c7b0,
'nlr': 0xe1e35397829fee3b6a0a7f0f803b287f,
'olr': 0x721651002db5a818d0a6db2cc2901352,
'plr': 0xd4d035ad06562e2b49349edec9ce4d4f,
'qlr': 0x0285056771725cae4081819b6f8465ec,
'rlr': 0xae9a9782142d8e4116e85a2358c36b67,
'slr': 0x31913ec79bc997f01d13c30a2dfebedd,
'tlr': 0x8d52bf87a239352ba7cc0aba1035e393,
'ulr': 0x78fc34deedfeb1782c7b927db6b721ab,
'vlr': 0x9dfc551749f7c1be20c7a1dd34abd3c7,
'wlr': 0x99468af92ec17f830a9ee9bb6291ddd7,
'xlr': 0x6a6139b3c687dc65d508e2f87d2790cc,
'ylr': 0x1303253d65ffb917e4733779069b5776,
'zlr': 0x33571126176a203ef529df725059f36e,
'amr': 0xc06e016f63751d7af476fd754d97a533,
'bmr': 0xa47840407546f86bd1ee65155dc8ffc5,
'cmr': 0x827fac6a4d016d53b6874573cf37fc05,
'dmr': 0xddd8f73a9e0e4da6b3c9f73f3afe395c,
'emr': 0x98b84a80080b49716cdf31b29e11dbb4,
'fmr': 0x5c6458a50473404467a896ee5c853db2,
'gmr': 0x23ac21ab56d4a5b10e0f69b87dfc65f8,
'hmr': 0x98c3bc175de5dd9d486a621c6b6c2b63,
'imr': 0xcf5ed1f35ec8f5264e84b4f63cd708f8,
'jmr': 0x676a4cf46754b50a09c3c7a16a38c0aa,
'kmr': 0x28d6e41249d3eb09bd96618e9413fea8,
'lmr': 0x6f9247eb06cc4a7c1c762555945b1aaf,
'mmr': 0xaa29d6984108c685bd651011d6733c00,
'nmr': 0x3acc04fb854f7a377e9d3656df8e99f1,
'omr': 0x75a9a00b6ba7ef05a03855ff132733bb,
'pmr': 0x2baba74f3ab8c4f508ce57085c17cd62,
'qmr': 0xc4aae6909e9e53bb18b060838ebeef6c,
'rmr': 0x466c8c1fb4fcaa4398b3347fb36f74f0,
'smr': 0xee522e665d33bb6813a26be8a17de10e,
'tmr': 0x434b15c6c9f02cc71c98ba09af71f226,
'umr': 0x4f12f0ee41618a30b76368993b13d671,
'vmr': 0x4a64b1714b324eda3928be5f063f7b59,
'wmr': 0xc1c4044002cb54231f3d54a577599831,
'xmr': 0x28b3e55de5db0e07c3d7be806c17792b,
'ymr': 0x3cd7a820c9f9307957da7bdf4a21e6f1,
'zmr': 0x04aaebdbb6405678e0d1f5d93a02ab78,
'anr': 0x457528c43fabd74e212db2ed61101075,
'bnr': 0xfa7ba49d6a3a109504b8f7da5201542f,
'cnr': 0xd44e7033210ef6026d594960f8d12004,
'dnr': 0x2defb250c866d504e7776fa50d3bc29b,
'enr': 0xe047091b58efe957732be9bfb2b398ce,
'fnr': 0xc1607e393783fee4415fcab0c6e38a67,
'gnr': 0xb3a3072739064bac5f3b2bff0c106666,
'hnr': 0x038d7aff60bdc0fcddf73a656680b90c,
'inr': 0x61a59a5d966b00c6dad60bc09139ea63,
'jnr': 0x23191b271d2a651092d5ab71ca91081f,
'knr': 0x5db4495973672e7dc74070bcae3f992e,
'lnr': 0xfbf972e23b48a1f02642d860c230df71,
'mnr': 0xedc6f280ded497627b916535f4f6a587,
'nnr': 0xa942fa888b55121bf54c695b8c0d6ab5,
'onr': 0x04d3cb12d2d736a0ec26561cd1bcc7ee,
'pnr': 0x4da17b3f8983e6d85192cc485673048d,
'qnr': 0x35ead6dcdc7ce4a4473069857ca0693d,
'rnr': 0x39c15847a4508dc3132cfd6f8fc66263,
'snr': 0x04b492492c1847d54aad2bbbe84815ed,
'tnr': 0xefdbbf9d9f20cdf89f19d5cc9171b33b,
'unr': 0x9af870b687c9c080740c108296069cae,
'vnr': 0xdea76678d73a48ac127d5367f823c561,
'wnr': 0xe84b06e62d0fbf25ee1511cd7ffdb819,
'xnr': 0x4aa6bd4c4ca439be37cee482ec5fe589,
'ynr': 0x1ddbe06a1dc972646e0c0fe9117285e4,
'znr': 0x8c59613761863c6df1cedc0414424c74,
'aor': 0x6c56991cf499681b796ff0ce684c2a82,
'bor': 0x597e592d65a2f3814020cbdf7e9e522a,
'cor': 0xcebd65946444e5cd3e861a2dbf69e221,
'dor': 0x5d35ee739e0ef7fed39be900453f8957,
'eor': 0x5c08bb4976931502a7c91a119f73b34d,
'for': 0xd55669822f1a8cf72ec1911e462a54eb,
'gor': 0xb34fc2170d0ce2f7a979c8ff6a09f41f,
'hor': 0xa0a98f69512d093ead0bb45684f0db29,
'ior': 0xa0481da2a13483f6977d411b34cddf57,
'jor': 0x9b1e2f5b48647011e1c88ef057f236d6,
'kor': 0x9c285fc4f99ab149f8a6eb1884c7c215,
'lor': 0xd8ce24ae7dd4b1c9e167ea9b40693300,
'mor': 0x01738775a7541d8943768635f81cb715,
'nor': 0x57c7d11cd49333e3f722204c63016da9,
'oor': 0x4aba38bc952244a4220fa7d66c5c635e,
'por': 0x7cf41ff971d626b865524717448c298a,
'qor': 0x2713e329e78da0aecde97fb831d7fdd3,
'ror': 0x993a7ae7a863813cf95028b50708e222,
'sor': 0xe8488294d71f5dcc4a8b57d40dce60e5,
'tor': 0x7c0b1b361a964c9f5a2c89bec5740412,
'uor': 0xea544ab926ae6a86622194a49691a7a5,
'vor': 0x71807f6a7f44d0a733a8b3f6588b8380,
'wor': 0xdf732b2ad1e8728d2defe7ac2729dbf9,
'xor': 0xa392960421913165197845f34bf5d1a8,
'yor': 0xc40e633ae47c85e78c46a9030ef356f3,
'zor': 0xcbef2a7ece933c79251e532523cc4fe9,
'apr': 0xcf7a2216034ddbc62bb1b1b3d70d1272,
'bpr': 0xa4a7c54f01f1fbebeb1f08789ec935ab,
'cpr': 0x293a5b816a2fade15a3c7b02d660198b,
'dpr': 0x6c0efbc4aa07f0e16339ac026af31949,
'epr': 0xdf6ce113e1c804856e5d4201c7a76554,
'fpr': 0xc8966768a54c044b66d1bad39c4b9c4f,
'gpr': 0xebad1f7d044f8df769b5586528791087,
'hpr': 0xd2ec6e250d819f262b769e31afbf8cd7,
'ipr': 0xb4bc6f75868a971276084971b1cb79b7,
'jpr': 0xea70a4879aa9b84342ccf21e52ed07ec,
'kpr': 0x5a9668f6b9a169bcce8c018a616a738e,
'lpr': 0x6db6c23450f8f6dafe05759f08aa6a98,
'mpr': 0x9bfd3f6affd43a85562cf3430c157175,
'npr': 0xbeb454c55754e2e94ad97fee19eb2540,
'opr': 0x05b8e35f93bc745e61dd7e2cd1f57880,
'ppr': 0x60ea78fa63ac6f820c0b0e23f1266639,
'qpr': 0x6635f5664ed2b64db8ccb89165fd578c,
'rpr': 0x050c9d8444b3439eaff87a40031b7008,
'spr': 0xdc308a0713062375862df6c556c43bc0,
'tpr': 0xb126f477dbe77d2be3a1073e74aa8a60,
'upr': 0x5353cc4dc024d5175392ad06c1db0e9c,
'vpr': 0xcd2908531e1054fe29f9309860ab4e9a,
'wpr': 0x4a5354b760bac2b17870a7eb47dfc46a,
'xpr': 0x196e09ce7d855bd30d81fcb7a8d29e8e,
'ypr': 0xb47f430952e8cec7e80537fe1a1e8ab2,
'zpr': 0xcae2c166cd6f1094ef1609cae3721759,
'aqr': 0x3f56250cdff4f965dc378af6dce5e6b8,
'bqr': 0x849e13a3697ea7a3bea41025aa64abab,
'cqr': 0x3d4956c502feaa64d4f2edef7b4a2e5e,
'dqr': 0xdf777780564b19b33557cbfae71e9545,
'eqr': 0x04776873f53e4ce5ccb4f66744eccf74,
'fqr': 0xf6d72a7ea45c5b6af9a3600e6ca16ce0,
'gqr': 0xa3c226b00e0aed3f5c2cfd7efd0bad6c,
'hqr': 0x1865dc26497a0db651665efa62990c21,
'iqr': 0x5df77897921a1ffe7e4b5efed6249905,
'jqr': 0x1072f1cd354174047e8954a121b3e36f,
'kqr': 0x16a55a9899af427468885d50c0703c78,
'lqr': 0x351ee7448108a724992c28714dbbf435,
'mqr': 0x0eaf8f3896b6141ce6c39189ef3859e2,
'nqr': 0x1ee4856a2035d84c3720bcece1396cce,
'oqr': 0xb4f6f9661a4a694aefde792d1a32787d,
'pqr': 0xf734fd4ff1214de59bab601aa34030d2,
'qqr': 0xe5aab83f05d34ae913e3d673e41c3002,
'rqr': 0xaf63d48f1f56527ba808a07411d14abf,
'sqr': 0xa30d171c23d637d14193b0dd57277b47,
'tqr': 0x01730249d51a809ac9e855e97da1c902,
'uqr': 0x53ce8c123a8d7d75e92073708c071c88,
'vqr': 0x526c1af3222e8e2bdd777e9696bf8ae2,
'wqr': 0x81f5fdba6e8c4a8085dad255de0664d5,
'xqr': 0x69a44a3a6ec744258d44306c467d15eb,
'yqr': 0xd974b711c1660e95a47cf62274284bda,
'zqr': 0x912a34a9e7471085046ae5340bf4cb6e,
'arr': 0x47c80780ab608cc046f2a6e6f071feb6,
'brr': 0x14db43821fb74030ac6e8bdf662646d5,
'crr': 0xa397cb6d0aa28863073463c037db46ff,
'drr': 0x5dab2126db06b1b0a6d0b1521ef30062,
'err': 0x56bd7107802ebe56c6918992f0608ec6,
'frr': 0xc3ebe36dafbb69eecbf47c119e3657fd,
'grr': 0xfeeb6e14161bc62635a8edf1c4b6b733,
'hrr': 0x71b7b337e2987e91fec8e799fe2841ef,
'irr': 0x110ec26faddbbee599d68849ffcbcf57,
'jrr': 0x1f8c82f29cf9fe14ecaaef2f4e90e44a,
'krr': 0xe83b6a275e41a2a7fdc0a1260e8d7c70,
'lrr': 0x12584befd0c22f75060db04e214fd7ab,
'mrr': 0x8097371a20cffb6fdadc8b9a798f9ec5,
'nrr': 0xd139a2fd0b43cb7c42a1138caf55d787,
'orr': 0x3945cab5b0d2acdcbb8eab2a33314507,
'prr': 0xfbf5f9f4586965c71a5f00cd69d60d32,
'qrr': 0xbab31368b47acede599d353dcecaf741,
'rrr': 0x44f437ced647ec3f40fa0841041871cd,
'srr': 0x0a21c1c5fb97a4b5cd5b70b721efe335,
'trr': 0xa971658e3a70c1f39e66c3b07efc5872,
'urr': 0xa17f96ffa9d588c0f30e04ef8f37390e,
'vrr': 0xc14665635a9d588bcc1259eceeb233f5,
'wrr': 0x9acfd39cc0124ac0c31a40470f274631,
'xrr': 0x21f8d90bb58cc939ad42df17184cd7a6,
'yrr': 0x458b4464cc8bab308e7f16b9c9a739e8,
'zrr': 0xb784ac5a92d32c8ac0840e7999702318,
'asr': 0xc5aee1e49695056c0c9c1da749bc2a8e,
'bsr': 0xd279fe86a16d1a064c3019efca5ef1d9,
'csr': 0x1f8c50db95e9ead5645e32f8df5baa7b,
'dsr': 0x021eb1191fb292fc788dae94acca7e50,
'esr': 0x631e1f6e8339acb74ee135ee18166b4c,
'fsr': 0xd0ce808bdfb4bfcec7a4ba919815edf6,
'gsr': 0x4693311894dada0a7c5e6f44f4995f80,
'hsr': 0x53332ce44ef999b1c13b3bcdd2cf67ef,
'isr': 0xba8eaeec35b54c67fea9bb1645a489a8,
'jsr': 0x521206c4bddbf24162cbc476b2cd3fab,
'ksr': 0xadbacf703347268cd6355570cdd665f8,
'lsr': 0x971ea0ac060f20c995a5a3871d91deaf,
'msr': 0x38b33779833838a98c2a241ce465fb07,
'nsr': 0xb8c8c992cf2feca2c83b861b37a9499c,
'osr': 0x382f4002b65ad5e76f761fddc7896e7f,
'psr': 0x40b725832600963a389b434066532f4b,
'qsr': 0xf5f520e6bdf7af62e55e3ca22f6611fd,
'rsr': 0x44d32fb571ad39745c4fe3b68cf0ce6c,
'ssr': 0x9486b0c37ac7d674f865a8d4a3209fe6,
'tsr': 0x5b740b2cc2e06e0f26f5ca022b100fd4,
'usr': 0x0a744893951e0d1706ff74a7afccf561,
'vsr': 0xd9b85018edd8b275ba628f848ad17575,
'wsr': 0xdc5ec7d259e98fb597ccdc1dd895b0f6,
'xsr': 0x8f31f60f5547d5dddc9720989d4eac09,
'ysr': 0x1e7aa0ac658a816d907be1998c963b3a,
'zsr': 0x9b99670225ef2d59e08724f6fc5b4e01,
'atr': 0x71b73dd6741a66d75ca45935b83622e6,
'btr': 0x0a47700e8b6b816c73959fe21f8ace04,
'ctr': 0x30f33f93a3c7974a1b5fcb33b6302242,
'dtr': 0xc411ec3fbe63b02c622f135613672f82,
'etr': 0x97b33391f2d3ddd3cfb3e85abd0b8c2a,
'ftr': 0x17fa66897cfe41e6426ec71330a220fa,
'gtr': 0x9b2dc2637646e5f7a0ca63a935c31d2a,
'htr': 0x0bf71cf94786a514a4e132474c394c2f,
'itr': 0x62fce98555002a61a6da4d29476b0a9f,
'jtr': 0x86617a4c43c85ebbd95f1bb56c4ec810,
'ktr': 0xd3f4263a4c026e0f047e1b6a895fb853,
'ltr': 0xc39eaab018e2e16320836a210cab2617,
'mtr': 0xf80a6c5780922a877062945f3fe22753,
'ntr': 0xac8e0c9833cf4e961cdb6bd42b8a19eb,
'otr': 0xfce5590c6fb2dddc508ecc33c0043b1e,
'ptr': 0x4d9ad2b37053671b594b237bd061b3f2,
'qtr': 0xe2154ecd475a12864622644e5b25f0cd,
'rtr': 0x5fe8937e6fadb3c23c597828aef6fcbb,
'str': 0x341be97d9aff90c9978347f66f945b77,
'ttr': 0xda1ca8f34cf9fa260557c3847aa16ec1,
'utr': 0xa4d9c9124d10730d396834871f7808e6,
'vtr': 0x5892625e1777c599538ac87266ba74b1,
'wtr': 0x8a17fd4df5e36fb25574b8ac920a91f9,
'xtr': 0xc4ed48d875cdd6d30e6f95d484caaf6a,
'ytr': 0x1358a3cee90e0142f43b71059081d6d5,
'ztr': 0xf1b5c85a74101d751deeec43b7717f6b,
'aur': 0x1f179e3c0b4bece3f50a7ba552b71ca4,
'bur': 0x5332c994a9ffe7d2d59e8e6e4a732216,
'cur': 0xb5fddf1ef601e74db01c1425561a38cb,
'dur': 0x8ca1954a9d263e1cab513ed4f44c897e,
'eur': 0xc528434192ac3f126e95be730d14a145,
'fur': 0x40bc2c3326dcc0c9ea95f303f2165aa0,
'gur': 0xaebc771649d88eca437ddcd3e122478b,
'hur': 0xe828cb861ad28580b8dea6e3a325bdca,
'iur': 0x7f092d7f4a6fed6131cf9d3c30e073d5,
'jur': 0x467d8f4cfd2eb6fd24a13990df1614fa,
'kur': 0x7663d8c57a4fe7d83db6bbc1bff52586,
'lur': 0x7f0b65d03fb2ce8b47d354a4f474c5c2,
'mur': 0xdf9301d912973424a2dcd97792b1b6ff,
'nur': 0xb55178b011bfb206965f2638d0f87047,
'our': 0x162e31afc5ade88a04d3f428e97e8f46,
'pur': 0x8fc789ca71a8700c00acb230a58928bb,
'qur': 0x360998388cfe77951b33fcc2add455d4,
'rur': 0x8c31b7bb884eaf566834c0004e272fa9,
'sur': 0xa587b16e0a2c4a9c61feee6486c3a6c5,
'tur': 0x832e21f9da1ad55895637d00686fdb42,
'uur': 0x7991ef6f186729b8c4b428bf67610bde,
'vur': 0xacf1333999c78685220cc56cb20ee816,
'wur': 0xabd73323468ed86b333a7a67b6a63094,
'xur': 0x4c6d031fefd9923792eafbb18d176bb3,
'yur': 0x0daa0d1935f4033d015c90da3de1b10a,
'zur': 0xcb4d14cc8190d64b70ab60bc23a812da,
'avr': 0xbd0253b598188adb30ec60068d9219e1,
'bvr': 0xad800bd8f68c045a2db8624bacf395e3,
'cvr': 0xf11942778dfdd62deac66383770b07af,
'dvr': 0x293730af74185bc2bb0c0d77ac61548a,
'evr': 0xd519ba76eca3732241937701c304bfa4,
'fvr': 0x65e8836b51f71f13b539dad7f84b02a1,
'gvr': 0x18800cd4744faf24e7011f8b4a382efb,
'hvr': 0xa607e491785cb0b32b28c208721edf23,
'ivr': 0xed1b188032894e21cf2e035879ba055e,
'jvr': 0x4973cf1465aad770e41d24c01ca807d5,
'kvr': 0x00e1749bcdb8c6ab5d9656dd61939daa,
'lvr': 0xf6dc1ca6e047a512316ad6ff43128128,
'mvr': 0x4f0e1ac61791fa56ba78d22be00326cd,
'nvr': 0xbdf0b38928b8b7898f6a931fd506f9ac,
'ovr': 0x9f279f4eba01da6077f3d835558e9f29,
'pvr': 0x77218dc23f414949275c899fc31a24bb,
'qvr': 0x783e68f883135ca502c21aff8e805edf,
'rvr': 0x0364a05366edf872fa5c32a7502a5916,
'svr': 0x99d32fff00fbafb0a853260d7e9ed5a9,
'tvr': 0xff66925c3023a2e991a96c92e4ce4bb7,
'uvr': 0xf0889f7af3b7b78ebead5ca60f2b8666,
'vvr': 0xf7ad45d8954e7241a1703884c974db9f,
'wvr': 0x5d6636b48699354de92aaae201b2f27a,
'xvr': 0xaea8fdd3757e7139034bdd8650f2d8da,
'yvr': 0x1e01177a47e95fa589ddca086df228eb,
'zvr': 0xbf32b2cc51dd670cf80d86e98e885d0f,
'awr': 0xe5df30b242311b7d0621c7e77e5ef0a0,
'bwr': 0xf1e5fc3ea7db0cffde6aaadf2c0e9766,
'cwr': 0x5000fc9b5ccecef0eae1845cc07337f9,
'dwr': 0x593ea464044b46a9d195a10509fdf0f3,
'ewr': 0xb643f013cb9f3ccc9b44c0bd1ebbc669,
'fwr': 0x1ee21061af34ffb5e40d8eca11aa53c8,
'gwr': 0x3b923bcd05ca10c318e6718c1b1baf31,
'hwr': 0x0ce30daff692ee814bc4345f5a24d7e9,
'iwr': 0xd30e9c4be115b51f444d532bd2d06df0,
'jwr': 0x3bb5e2814afb244e95fc895283472ac6,
'kwr': 0x0c2679a11399f50aa02239e5ec20c93a,
'lwr': 0x2f19b65e920075b0f180e6c2fbbe58b0,
'mwr': 0x7ed558701a7af73b22603873865b8766,
'nwr': 0x9402f2eb60c3104372312f4ff722ca71,
'owr': 0x9695c6afbcf10b8e3e28fef3767530bb,
'pwr': 0x128d2ab4b71b0aaca5d6cdd9defcc306,
'qwr': 0xe9e77eb539683225ffac89da119f1c2e,
'rwr': 0x2edd78b3167483e04561faf8b7af370c,
'swr': 0xb1dab74548399bb04198cb2fde8909cb,
'twr': 0x66423724860ce175a01aa38f63fc1d59,
'uwr': 0x517c34fd7cff38958c80df697500cba2,
'vwr': 0xdd40bebddb24c03120386dac67d80922,
'wwr': 0x3e0408cb8f13f3316a5246d4c2f04850,
'xwr': 0x573edc1b0a66bdb80c816560e634116b,
'ywr': 0x2bb753f1ab4c66d75c5b3e7eb018a994,
'zwr': 0x46044d65aed64c15a141b8f9b9bd94d1,
'axr': 0xf2f784017c3a4c8d49f8e4855603e85a,
'bxr': 0x61e1db17223cc0e25cc636aa8e8d1405,
'cxr': 0x03d184e16d45eba4de9616863612dd9f,
'dxr': 0x0f1737de5629bf816957285070c409e6,
'exr': 0x8fc5e5597263242327211c5f858c4ba8,
'fxr': 0x117e0da0d03966dea49fb4877e5e2014,
'gxr': 0x76b97265d078bf48da8622cde24158bd,
'hxr': 0x050fff4acff372636942c28484c6f0f6,
'ixr': 0x0d8fa5528296378451931b2b236f5340,
'jxr': 0x32033fdd8bd7b74f871baaba4a55b3ec,
'kxr': 0xcd21d3bee5631eb0880b9c67c09d8ce7,
'lxr': 0xee115aa980cd40e9489af2a5567e1802,
'mxr': 0xdd0d1b950de2ebc40f048d289bb7ae92,
'nxr': 0xd4a63f00dbbe893bd951a0216edf338b,
'oxr': 0x186d09969b6b9219518532ca4037986f,
'pxr': 0xa03629e4b71e4ce0ed7c168397030288,
'qxr': 0x463ad7b92076c7252bc92d7272160a4a,
'rxr': 0xde7fa945db307daab4c5194f32e4a70f,
'sxr': 0x23e30901588cfcb05598a43b1e46f061,
'txr': 0xb618ec2fa0492c6476691a2a53cdcfa9,
'uxr': 0x075adc7cc967edc110ef024d5964bf0a,
'vxr': 0x88270f971690e2954aa0dfae7643791e,
'wxr': 0xa5e79413b2f624ed801315dc5564c7a0,
'xxr': 0x2bd793dddba8b2bdb1160b2a245c7543,
'yxr': 0x6000a18f186b994d3f5987a4caf96887,
'zxr': 0x501cef808575f83f83e363d5e666742a,
'ayr': 0xc00bad408d9254d2b3280933d1b3b382,
'byr': 0xd688fa514c61a513b6fb6dcdd6c32e65,
'cyr': 0xd88b06c0f35225ef7f763b5a5739f5aa,
'dyr': 0xa0062b1153beb0b3bb3cb726497cb479,
'eyr': 0x30731d4a1e57a3ea421c41cdd1f5e4fd,
'fyr': 0x1f94822a09ce8014444b8a40a6e2405b,
'gyr': 0x9929e03b19a91a549bf2277ca2115d9f,
'hyr': 0x38193afabb1a87728c6e8ce7aa5299b8,
'iyr': 0x0b9dacdf2c34359f16ffc3b0b57338d2,
'jyr': 0x7c78bd568663be8f34099fe02ecb9cb3,
'kyr': 0x498b7b9f8f22e525967abc9adb82f5c9,
'lyr': 0x46e5bf3dfc21bf6d6ab1368ae6121902,
'myr': 0x4bac9d1d3eadba19447c548628b9b2a0,
'nyr': 0x8fdb02d2d1759b4a6b6d0458602e5f2f,
'oyr': 0xfe31ac7991c8e722614a06bd6f7d52a6,
'pyr': 0x17c785697635530049e493a4cc5a7c52,
'qyr': 0xe7b8fb2c1d6dd6ec4ca690cafff49199,
'ryr': 0xf0a9ef32ac022d4590fd516270cd30fe,
'syr': 0xdf79e22fa3cc733f121bf9e275da4630,
'tyr': 0x6d75262aae0a21c3efab696c125232d0,
'uyr': 0xa8597f533a539bdf3f00382bae0ad9f9,
'vyr': 0x063b7ea5946f185cad573404ea5a0b92,
'wyr': 0xfb60d30292512e065f6bbf10f797efec,
'xyr': 0x0abfbf97e5cdbbd02d4cbc5d55831bb1,
'yyr': 0x191d8c87e3c1589fc143147eeebc6a10,
'zyr': 0x666246d003a1af56eb218937f2f7b501,
'azr': 0x79aa9ef11e7bcebd49c6837a16c89859,
'bzr': 0x08ec04e750c70dfa9ddf9a5e7d85fb01,
'czr': 0x09d106e7630e7f30074274bf9a9ffc39,
'dzr': 0x07bea5a1a254cf92cdf6e17cc9dcaad0,
'ezr': 0xe07063113519d1c9e89788de47b955f3,
'fzr': 0xdf15781e53c0f322d0d6ae85ec5db0c1,
'gzr': 0xe807eece6e62cfc9ec5d239f89c35ecc,
'hzr': 0x3215efbbb3aba61c94786400bf601102,
'izr': 0x3d0b0bbbd2cfb315ebf4032935da4c15,
'jzr': 0x84869835db8d42540d7011750674c58e,
'kzr': 0x7cf5f7076d73f747993cba02bcda0dc0,
'lzr': 0xd374ceb7e0de18c11b0ddff6ff5b5f32,
'mzr': 0x2b5da8891907893cd36bd952e773995c,
'nzr': 0x09da86077857ba1553437ce54fa23903,
'ozr': 0x26822f329a9dd5bfcc8e66244bbc83f3,
'pzr': 0x9bbb099be9e3675bba7f7dd3b170b32c,
'qzr': 0x6928c9661589e09bfa09d67a795d9239,
'rzr': 0x79492b3d4863883e122633ab9fa71065,
'szr': 0x4305679aafd0c464bdde78b985a09b20,
'tzr': 0x7ee24da8b83e2740f30a476fba02f82c,
'uzr': 0xa85abc141bc45a8d9003bb109b9a2cad,
'vzr': 0xcedac9d5a9e10cbac5c50d73c618ad2b,
'wzr': 0xa365bf8ff21ba7dcabf5a0de1585661b,
'xzr': 0x29a9c4b3a3201b67e5386127fb6739cc,
'yzr': 0x8fe5654bbb600fcea62de3723d606980,
'zzr': 0x2bb34611d6ce2374bbd7410dab2553d9,
'aas': 0x37f31694ce2528a64cfacc73c612ef06,
'bas': 0xf6e660ced42e946f69a41cc473d923cc,
'cas': 0xf90721c90de9bd9ef516bea0b184fd30,
'das': 0x2a6571da26602a67be14ea8c5ab82349,
'eas': 0xf58c3ba6e10aa6581680e62eb5381d20,
'fas': 0xc5341e883d09ced169abfac23dc13abc,
'gas': 0xfee74eac0728a1bb5ff7d4666f8c4a88,
'has': 0x3309a7a7941818e131b4dfb9a6349914,
'ias': 0x77fe668dd6a6e411eb6c22fb9c1cfb0b,
'jas': 0xc70903749ed556d98a4966fdfb9ccd04,
'kas': 0xd7b3bbbc0a472166030089695af7d5cb,
'las': 0x1102b0bde793717c4382ffd6894155fc,
'mas': 0xf022b8970604d7f4472189cb21df2c20,
'nas': 0xb9d04cd47823420fa061075ba05345de,
'oas': 0xdc767f6508fb8059865c83b08c3ae7db,
'pas': 0xcd0acfe085eeb0f874391fb9b8009bed,
'qas': 0x5668eca6cce28dbd64d888303dd7fb60,
'ras': 0x1c28067048213d48f168efc6d6685406,
'sas': 0xa8a64cef262a04de4872b68b63ab7cd8,
'tas': 0x0f1778c82ad1715aef78be8d9da4ee04,
'uas': 0xee460938559a0d5bcae5fca8e1faa2f8,
'vas': 0x233692e0aad5a445107564ca1bb68d51,
'was': 0xa77b3598941cb803eac0fcdafe44fac9,
'xas': 0x5cdb221ab5436a0cd7942840e48ef03d,
'yas': 0xe89f5c212146679abbfce5ceba3e975e,
'zas': 0x9c8cafccffe06d16454788b80aee4ea3,
'abs': 0xf9ac6b05beccb0fc5837b6a7fef4c1d3,
'bbs': 0x28aa17dc7c163e7e7cf88d0c556a729b,
'cbs': 0x8e113caded25c50d7d81dc64aa07bb0d,
'dbs': 0x85afaab5f3b6a638269e33d12da2fedf,
'ebs': 0x5adfcda6fac4906e45b800d34eb90fa1,
'fbs': 0x0c676dd1e9dd719c36bef5fbc7562df0,
'gbs': 0xc7c16ad0a608fde08aa24cdfce1a062d,
'hbs': 0xb202bfd02bac7afbd0398cf17a070496,
'ibs': 0xa94b16f8e50cc76b01353efe02df0b3c,
'jbs': 0x6e12cc6f2e411e7ee51bc633f05bcbbe,
'kbs': 0xe5b6dfb866b1dfa5d4b41beb0151f9b6,
'lbs': 0x826a1d1b3ddd23e4879fc8e767af1fcd,
'mbs': 0xd41671114a78f1fbc51f5e0077ef7f68,
'nbs': 0x3e36d6268180496c5a7a52eaa58d2ca6,
'obs': 0xdbabb977cec6af84577d101d6053b0b1,
'pbs': 0xf13594e09cbba8986323e3cf52d2a445,
'qbs': 0x07838ed5bf41684827ed636966ef5acf,
'rbs': 0x58ee6d7920593d3b04d173d68717b778,
'sbs': 0xc3cb8a08cd526b96ae0f7f24a7cf65cb,
'tbs': 0x9f0f0a28dccf5dfd1976ed455fd0f4f4,
'ubs': 0xa51fe3d58d97650115803090779d17f5,
'vbs': 0xb3720bcc7c681c1356f77ba9761fc022,
'wbs': 0x703b12873eb6b9cedd72ffce8a2ff6df,
'xbs': 0x3c69c1afaddcc6cda5337afda42ce933,
'ybs': 0x3a9a9fe8483bf1f0b0a9a1b2ebc8db29,
'zbs': 0xe2444647ccf12bc19bc3e25205f5f6dd,
'acs': 0x77c1fdd80c91593ff851e71ae3865fcb,
'bcs': 0xca129d9bf2875916863bb25324a23a5d,
'ccs': 0x1537c7ebb7ff5e0c5bb5f436df96f65a,
'dcs': 0x1f3604112472f3385058ed324bc4aa83,
'ecs': 0x2eb2930111864beeb409e946751215b1,
'fcs': 0xeaa18a15c1915c2884627ff0ed97889b,
'gcs': 0xc9fe99b9b26a69ece268aba6e41eda08,
'hcs': 0x9a54d2441871f41b5077dccc27bd07eb,
'ics': 0x669dbcecfbb91195b183fceab6920a7a,
'jcs': 0xeeacf15502fc386e7a413c810dc223fd,
'kcs': 0x8a89e888be5e7c90128b4616a5150aaf,
'lcs': 0x9351c00f73660c0a9076d185506e355f,
'mcs': 0xba3f25b5c85a8f70298423afce9b205d,
'ncs': 0x020a8cfa922969a0b9035333f45988c3,
'ocs': 0xd45dc8b654be6538135eebe03ebc05ed,
'pcs': 0x3ecf2642759a04bd3616642bd56bed59,
'qcs': 0x855f4471c5bd9fb01e7f56bfc0d7f48b,
'rcs': 0x2979619335f3ae305cf14fa9d7113800,
'scs': 0x83401f0f0dec1447d0f5197df673521c,
'tcs': 0x1e9451afa8de4ec7272087866c07ad12,
'ucs': 0xe82ee578bc06305f46ed464346e02c07,
'vcs': 0xd6bfe3ce1bf5714887f4ffbb7b94feab,
'wcs': 0x72d06cb904796af7f578e71087140ac0,
'xcs': 0x33d567ce02a95e1114c6bb147b3e46a1,
'ycs': 0x0b6beb9fc639004e8e43b3f245f27c0b,
'zcs': 0xcdb26828f1d4940e6b9e15b4575f0a31,
'ads': 0x2deb000b57bfac9d72c14d4ed967b572,
'bds': 0xdf634a9910dd999c92fbead38dc1f018,
'cds': 0x83b861efd4ce3bb438dd07435c9e7044,
'dds': 0x016998dad6c68fea05b9df7f6f56fb96,
'eds': 0xb972e58b43af4730e439efaa6f14cb79,
'fds': 0x838ece1033bf7c7468e873e79ba2a3ec,
'gds': 0x202567a75aef2e66a3ebf2366bff048f,
'hds': 0x920f0dca8e292c6b8b1605195e346d1a,
'ids': 0xbf516925bb37a8544c8ee19a24e15c05,
'jds': 0x4eeb2780435784d22dab8d629d9e892d,
'kds': 0x24cd40e9644f98e7e02848578ff2ec00,
'lds': 0xacc801aaf80d6f8f8e8b542102ea9e78,
'mds': 0x60a114c91c41983174b484e188856fb3,
'nds': 0x7bc4fc082fcbb303343765a065237b9b,
'ods': 0xef1817547dffab0331a27d6733b49538,
'pds': 0xf5382f3dcfb3c8aa96a19a353f3679db,
'qds': 0xbf89063f2beaa557a3fc25f4f39ce410,
'rds': 0x1d374ed2a6bcf601d7bfd4fc3dfd3b5d,
'sds': 0x82d5984c2a2ad4c62caf1dd073b1c91c,
'tds': 0x3b84f8cfd144e7211160037ebacbf0e7,
'uds': 0xf7a0a6774ad731078788f9d3c61578e2,
'vds': 0x51888604cf507f0d151b78db9eed4e30,
'wds': 0x46f209867fc3eabc5a8db98f07262f86,
'xds': 0xf86c6a7b1180f03dbcd64c496266c5cd,
'yds': 0x99d595fdf0ff4d0a478fe5c2c8817051,
'zds': 0x316afb4a28734231af52f7e98fff161c,
'aes': 0x6d3c5993ca017d0ff169b425d3193f02,
'bes': 0xaf2289331f3d2c843730ac459969dfab,
'ces': 0x9d89e27badedeba14a6e13bce87c9957,
'des': 0x0ecee728bf87a4c1a02883004044dcd5,
'ees': 0x0092fa0ac96bde20ffdd7a69a3c39b76,
'fes': 0xb70c708d14a092f38dbd0448e3bcb3d8,
'ges': 0x02f9155d0dbadc5809c512a2967a9577,
'hes': 0x7c07bc21715ddb70917e99c8e77915de,
'ies': 0x3144690b4e4fb793c36647a34d5be42d,
'jes': 0x2f937532f5c1e55f340a07a2c2e7af08,
'kes': 0xed593c51f411c0f6ecbbb6c6a844ff18,
'les': 0x3f816a388569d5a30f20546196aaabd6,
'mes': 0xd2db8a610f8c7c0785d2d92a6e8c450e,
'nes': 0x1d7b2eac3b0ae5d9f772a801186d6c71,
'oes': 0x67ba2ac5679d1277bdd702a6fdb14fb3,
'pes': 0xbb4e1313cdd8219fc70b0faab9115eb3,
'qes': 0x2494eadca4ab0c2cf407f875f7cbc293,
'res': 0x9b207167e5381c47682c6b4f58a623fb,
'ses': 0xf2b32bda85a5a4a613eb47fb01c57ce3,
'tes': 0x28b662d883b6d76fd96e4ddc5e9ba780,
'ues': 0xdb44ff009e860fd8b9f740e978193004,
'ves': 0x3cf6e2f9f88ea3f548bce23a0a69617b,
'wes': 0x013de0c99e66d589b96d74eb85d44c58,
'xes': 0xd86ff92350b51f660a8fb4a2519cb821,
'yes': 0xa6105c0a611b41b08f1209506350279e,
'zes': 0x7374c91d2218e95a615907098d70aa45,
'afs': 0x47e8b9940d67c57e6b6870083f8ce025,
'bfs': 0x52d14db65fee1ab916713f3f5f4030f5,
'cfs': 0x7b2f1bf38b87d32470c4557c7ff02e75,
'dfs': 0x4ec503be252d765ea37621a629afdaa6,
'efs': 0x21bf745da611cadf93e64da3c3e1c8a5,
'ffs': 0x3b3eda5569bbfb7f93d465529f5a3db0,
'gfs': 0x2bab854b30d12e5c22bf329fd4a4e0c7,
'hfs': 0xb907ddeefeca25a50427dc9a1488afe5,
'ifs': 0xdb5b2e1cde7306c66e6a206064c05092,
'jfs': 0x21cbd81ec38ce8db13ac6780dc770a8a,
'kfs': 0xa5eb447bde8ac0ebed6bed76312bf381,
'lfs': 0x73d4ee91d867c720c7f133e7f488b0bf,
'mfs': 0xddb18a8f8767a4666019e0ca7802f234,
'nfs': 0x2521ef5d58fc027d3121662b7d8f9ac2,
'ofs': 0x59c76fc4bc89caf6f28b97e9e2296e10,
'pfs': 0x83e4971fa15938ebf91e527b2c015c51,
'qfs': 0xbb8d7ceee11154497e8ac0bb49e6f738,
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'sfs': 0x4e55831e3a1585ef273394be01618028,
'tfs': 0x58c7e3173a83184fe920cdd1203c3dcf,
'ufs': 0xebd906766de13bce813468fc99a93b4b,
'vfs': 0xab2eb9f5e144510f91fcdbae6fdd4465,
'wfs': 0xe64541c46c7242e81cc45c4e3e666e7c,
'xfs': 0x310201b6353c5f38bc039e0e51b079d3,
'yfs': 0x30b416e71f32b85b82694a17587d4a7b,
'zfs': 0x8cbc6ba7c8bba133ce2bc44780d88742,
'ags': 0x28d5c02fa836eaede52cc9b60bec9f07,
'bgs': 0xa3d39e1323013c2ef9013d96161eb645,
'cgs': 0x8f30526caf7218250c2549e996ac2083,
'dgs': 0xccaedd915adea52be54d30d0a8c5a57f,
'egs': 0x45c85b6138c3b273586313f5a8c7414d,
'fgs': 0xed1ee98a6c3d77772de2fc9c14803620,
'ggs': 0x34569238e6038c3f52911b851f3501be,
'hgs': 0xfbdc0cf1df1e40748cbdd1483b53a05a,
'igs': 0x7e8c7310b0fc2d254dacb3a738f7ccd8,
'jgs': 0xc20308ebe0cb983281e50af4728db84d,
'kgs': 0x8475ab1a7ddb040822e508512c58bc5e,
'lgs': 0xc6367999deadd088bc89dca28281c8e9,
'mgs': 0x8f0c7cb61ff113f553b01d302349363d,
'ngs': 0xb823f61a0c70250d4d198172c403da87,
'ogs': 0xc08ff8a395104a88d09eec4396031ebf,
'pgs': 0x908ea47162d020873e19f62a8278d2d0,
'qgs': 0xd66904186fc4de4fe7c7806ab6e1cdae,
'rgs': 0xa6d3e8851646f709b50321d47957239a,
'sgs': 0x8c7f69400162033743692a155810be2c,
'tgs': 0xb8e0e9cce4f6ba9e35f9a40b439530cb,
'ugs': 0x7a8f8f5efc3abc7a75c1760ae8eac16c,
'vgs': 0xda936c17a03aa194ac2fe522310394d4,
'wgs': 0xd677c28717c6fb0257896b57861167d4,
'xgs': 0x30716e4a631dac4e2da783f4f7e99f97,
'ygs': 0x40aa19d9fba1cff1ba587e008e6745a1,
'zgs': 0x8517c064d34d1a4665609b06eb313cbe,
'ahs': 0xb2654b918d1623652d4084375611bdb6,
'bhs': 0xa07e6a4ddb31b9003063d516ccb784d1,
'chs': 0xc84434f6af0e2f52f6d25d65af31b97e,
'dhs': 0xd4d71aa58fdb9e8d6409d414626d63b0,
'ehs': 0x12d51609e67d27fae743c3813a3e62c6,
'fhs': 0x6114a2fdd96b56c50815f0501291f955,
'ghs': 0xe6a0c1183fef7d755eae58ae933b6c4b,
'hhs': 0x6f6bcb904e80c47007fa72478954286e,
'ihs': 0x1253ebb331f1b1d7d6947b481b4fc84f,
'jhs': 0x08f5d57d67012c8ea2bc889d6c1b5f8d,
'khs': 0x066272fc807a838c3b3455996acb9b79,
'lhs': 0xe48b7bf1a447021da85214b43f51fd4e,
'mhs': 0x0357a7592c4734a8b1e12bc48e29e9e9,
'nhs': 0xc0076f112011cc677dd4d1f4439c6c66,
'ohs': 0x7fe6fca526492e7ff57f0a8f0f1c75d1,
'phs': 0x5eba2d67f4fbb33c0876604053cd91d5,
'qhs': 0x4bf906ba6141e5a85b0f08a175c6a661,
'rhs': 0x83ff9f9e3dd7561d3dd91204cf546b7e,
'shs': 0x8ce4f98878b0c302cb3de0dcd27d8bc8,
'ths': 0xcf3cb0790e6da72fe989532a8e63973e,
'uhs': 0xb05b0df3e73beca4c415c4d3084d2039,
'vhs': 0x115751c3a0f5273a9e039b96b44250ae,
'whs': 0x64ee1bed1d92e122bdc87e0999d0ddfb,
'xhs': 0x9a539709cafc1efc9ef05838be468a28,
'yhs': 0x00af48a60a4c50add0fe10224b41b904,
'zhs': 0x63c1d6fb7c4e68ddbda14682596f6497,
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'bis': 0x227cee183f9b009e2f81f2f8339e281b,
'cis': 0xf9180cb9286c49c4f3a6c793798b9ddf,
'dis': 0x4cdf5a25d4673bfc4546ca7843071f65,
'eis': 0xca2731cd2b9f72b1c22a5ecfdf980f01,
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'gis': 0xb12c645e186f93509b1c0c36552ec334,
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'iis': 0xc7c9b5abc39fc757817e8a49a1e269ae,
'jis': 0x288aae6924fb949c0aa401b3ed2d3156,
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'mis': 0x9bd3f346a49663ff9c2ff9862d5698d2,
'nis': 0x584ae3a6ab89d67b476b2e732e7f73d6,
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'pis': 0x0d927a8ebff81afce05d0bd2085c9b9b,
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'tis': 0x12662f0b3e3b7454907bff5ac8b985fa,
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'njs': 0x8558ad6d5b17747544254721263234bf,
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'tjs': 0xe6194f2d55347a86f6825a1c8862f36c,
'ujs': 0xc3650c1f8d63aa2716e409df8fdb0faf,
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'xjs': 0x23ef2dc2e76a6154e20643262b0414da,
'yjs': 0x0c88373bbdb84c6cd47cc98226b18273,
'zjs': 0xb7e1a547f24fb8db578ae7743c866209,
'aks': 0xa25d2a4d3f57a81cf51d5ce4b8f9c62a,
'bks': 0x2a0ce6fd63f10057ce68f1efe41c6126,
'cks': 0x8bf72f3753f3fdaf383b6b8c3142dce8,
'dks': 0xd36802a6f32b7e5edc5fa3cf3b81c581,
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'fks': 0x9181ab10cc2003eaa38dd19a0603ab2d,
'gks': 0x55b52b7e07c36d97f9aa202d99f11338,
'hks': 0x28a141a5a1b7431578dfd61c9ba9b140,
'iks': 0xf9a0493ae853245f113c5ef3ec62bc77,
'jks': 0x210072a7be2cc5e793fb63b8e5e101c0,
'kks': 0xf7d7d192cda02d01e06a6216bba31486,
'lks': 0x004806ec9c0e2b008cb781a7c77809c8,
'mks': 0x173e46b1192ee4a8072c150139b997ac,
'nks': 0x1f0c281a1508da2c1f19165ad4a592fb,
'oks': 0x8d2cc35e70deca8505ee61f089a46ec4,
'pks': 0x80346f9fcfe9c5fb57ef5f56bf1168e6,
'qks': 0xacb268fa4c9078061aeaea21bb99daed,
'rks': 0x5bbcfe97466b10a3c7efb7ebba9e5196,
'sks': 0xcd5706ad15b95f97f59434ff8ed3c976,
'tks': 0x83cf231b1533457ade9d693cb67afa5c,
'uks': 0x92be88071bdee6de932b86e5f160f8d3,
'vks': 0x3115d3ef2314988051598aa96ddd1961,
'wks': 0x4ed6db01dd21186f0050084d96e6aeba,
'xks': 0xffec2b0882724cb742c75798c2753692,
'yks': 0xaeddcb067f81d404afa5ae780f1201d1,
'zks': 0x4fc25b8cd9fd31918f5d640802f1716a,
'als': 0xc3955cf318f60d815066daa73a622297,
'bls': 0xd5ff4b9a8e9d0f5e15c521bbd2b98188,
'cls': 0x8a0496f6a6397581367536557e603826,
'dls': 0x22986c5e8be8e3489851ec5d7848e7b3,
'els': 0x9c98948d313ccdac4c41cf803e329784,
'fls': 0x540fb4a8a362f8138d445f1498f50fa2,
'gls': 0xca6efd547a7b6d9885402b9544f941d5,
'hls': 0x6b517d4134797cf29f129240def46bba,
'ils': 0xf86d495aee2542639ff7ca231ede6fc3,
'jls': 0x5356bc33dbbf12c32ac9848fdf09a2db,
'kls': 0x487d77a9ee7563de48a3890c6bcbb7b3,
'lls': 0xcc862772bd3a95d82d2edda0c0a82d1a,
'mls': 0xa8a548d2607b07b390d9b7992cebfb8a,
'nls': 0xc0f870209d7a47fb7637050b0faef81c,
'ols': 0x566ac2c59178ec053b61e41e86fa8575,
'pls': 0xd89a8633204d02f952c89b8245f2287e,
'qls': 0xc53395c476745439fa01bde6ab0db0ab,
'rls': 0xee0a18ca596d33ec7ee2a45dc8ef5b02,
'sls': 0x77539a26fb5c4d0af80d43a295bb6053,
'tls': 0xa60aeea3d4cdbb5049fc37164644bb34,
'uls': 0x35cd1dfe100f7768dfef1417863589b4,
'vls': 0xc8fd5d0bb8661a163aea0351143f5a4c,
'wls': 0xf006f1548ae0a58e1586955659328785,
'xls': 0x018e2a13e58c535167ed37cf44316005,
'yls': 0xb246fea497c6448ec6cbf35c31b861a1,
'zls': 0xc7bdf8dddfea3010b7634caaa0e82a17,
'ams': 0xc5be1e9291812bc094b77f72f382787d,
'bms': 0x71baa0b71725058671c6e86ca7f06181,
'cms': 0x570d99e4c85914470d914170d1e95144,
'dms': 0xa6e05afdf596a8e7fd8df7479d1919dc,
'ems': 0x52a19f46017561a8e70a4ca9dfde6340,
'fms': 0x3b7d026482c3baf3d24bab884e1ebe46,
'gms': 0xc1abb5469e3da9c4c90e62b396c94e28,
'hms': 0x67b75781b18ab757d39edfb13cf90113,
'ims': 0x27f2dd02ab51ba5d5a9ff7fc5537a09a,
'jms': 0x62e337a10fb349c1bfc3151c7ac12670,
'kms': 0x4951a865fa68d758b42a9cef50ae168a,
'lms': 0xd27cfd44d40d37576bbdfefa8ef30556,
'mms': 0xd55977c223a588fdc11aff690a068b03,
'nms': 0xfed436f003a8f4697a779be5864dcc7d,
'oms': 0x9ffdb33ef5802146e555cf9e1082e314,
'pms': 0x80e9fc22001cd7b0808ebebb9aee76d6,
'qms': 0x9549267e5420e0c07c977ea9dd9db463,
'rms': 0xba431d163238dc15bc32c6a9ad77ca92,
'sms': 0x18b43c6a536a8fe1362f7a3887936be6,
'tms': 0x77ac309c0e78ae7e7321bba06c1bebab,
'ums': 0x76b9257c673c9e071ec36c96ad74ad8a,
'vms': 0xf64831e719dfe3e624db2daa17085cb1,
'wms': 0xde715d4979bbe0a778bb9a23267dce51,
'xms': 0x7556dde610d2d96355ed1ea2615b32b8,
'yms': 0xde9457247fb222d232958ff3965ba221,
'zms': 0xc2799f3c2ba4d061b95c0d3a23dea721,
'ans': 0x1298cbdc3eacd6eed0690cdad2626813,
'bns': 0x7f5d070f243dad6536d9454c5d33d57d,
'cns': 0x3395f0fcd8ea7f6dd119bee2b612b8a3,
'dns': 0xb3bf60b851ebaeb2768b01a32e2ef32f,
'ens': 0x56abe4a6a2dc9e41a20485227bacbace,
'fns': 0x1b5b2818fd59c0a04b4f43ea9ec75030,
'gns': 0x8ea26b7614330f392f101770aa6905ea,
'hns': 0x9082e3bc8ae5ae104acc093af93b8de1,
'ins': 0xcdf1e220d89c2dcd2e000c3d105bf93e,
'jns': 0x509354ed7d9c41c1a7814cd3e8e716fc,
'kns': 0xed7b25e54bfc9a4f8e51d9c4c004cfd8,
'lns': 0x5ae9c555e008b084f9425dba2b12a226,
'mns': 0x11b080d07a42355a374e830a4a0dc392,
'nns': 0x9e0256d8370c7db3e0ce3af5d7186455,
'ons': 0xf034787ff1936f7ff3d29be4fcb21878,
'pns': 0x331a737881b15d5764dba9effc6f5e66,
'qns': 0xa84d9bc604265adff121937ae57974cc,
'rns': 0x737c655bcb3253b86c590d51a6e3ed68,
'sns': 0x6002c6713f40e8a35d365605542e72b0,
'tns': 0x33393b48ae9594bd56b4e8db6a8923c4,
'uns': 0x07525332b1617934911c9fbadb3a304e,
'vns': 0x1557c9eebf17b8fc56da59756791b636,
'wns': 0xe45ac55de617525b2479f83fdf0df331,
'xns': 0x78afd53531a08ec5f2952ecca16c2e95,
'yns': 0x9aa7a62e059a28e0042c163fe3822cb5,
'zns': 0x0a34cae869fb829f34dbc0e9af18ab1a,
'aos': 0xcf037072a1491f0ffa23a37296b93df5,
'bos': 0x15fc4a53992beba40ae91e5244e79dff,
'cos': 0x4d00d79b6733c9cc066584a02ed03410,
'dos': 0x0196f6c4f97df3f48d570c23e46501ae,
'eos': 0x21db4a5fea0f4dedb0aa90007de5c3c3,
'fos': 0xe571b045697d6c923b7e4487896bc777,
'gos': 0x2d96956360c2dbbb860c0b71c01032a0,
'hos': 0x6f639541ab1b6fca4e23c65899e12684,
'ios': 0x9e304d4e8df1b74cfa009913198428ab,
'jos': 0x6f7f3b0fb100c0b0fb21a0287cd72f7b,
'kos': 0xdeae50f3368d21ca1eabb74a7799a95d,
'los': 0xe581aea4ac62865539aeb1931cf0ff61,
'mos': 0xbf4f534a44db066c08e2cd9a0dd7df0f,
'nos': 0x757aa4701447ed532346bb8ec941390a,
'oos': 0x2f09cf6a0c7823b6aade31761b07ab12,
'pos': 0x5e0bdcbddccca4d66d74ba8c1cee1a68,
'qos': 0xc514e03e4dbd058201c2afcb4044fadd,
'ros': 0xd36b548c4c7a2369249fb4cc0e2eba46,
'sos': 0x431e077067178a6dd061f1e2ab20209d,
'tos': 0x227f82daef18fd97b0ed9538ce418761,
'uos': 0xb3dc71dae1cc14b85b47e9097c65615c,
'vos': 0xaa3807c708efd3305ef2325948dfe82a,
'wos': 0xe0c3d1e1da19d9101ae5c50f0c74c27e,
'xos': 0xd7bcdd04f7466252d8ae8971ebe6f8bb,
'yos': 0xfd58de9a9e5906e3ea4682bf1a2da8aa,
'zos': 0x3897e7ec31433d7210e7c782e6f36f01,
'aps': 0x6524fbb44e3d8660f20ee545d9480ddb,
'bps': 0xecf6fbc4690b6ecd2245d8db1602bda7,
'cps': 0x510c5684a4a8a792eadfb55bc9744983,
'dps': 0x3f0f45ddef4fbb6fadc33f5f2e161d72,
'eps': 0xce8e4a184e2e534c09d6bf6ae773ca4a,
'fps': 0x05934928102b17827b8f03ed60c3e6e0,
'gps': 0x11648e4e66e7ed6a86cb7f1d0cf604fe,
'hps': 0xaa59dee700607ccc8def3ae41ff9ec23,
'ips': 0xde56be8fa19339d679efa6232455f342,
'jps': 0x949258fe0c21b4643bcc81491c088988,
'kps': 0x75e6cf979e7c200b899474e7f9b2077e,
'lps': 0xc569107d3dda2369ebe895cafd6aa772,
'mps': 0x7c1dc91629afef3369fc77b119a2e24d,
'nps': 0x53253ed09fe22fe66c8a4ff78619a636,
'ops': 0xe847897826ceb8346eb5141f8c23436a,
'pps': 0x98aa876e2d8a8296926f8c9782d44f40,
'qps': 0x8423b0c52428ca1082ef7b5c1f3d8011,
'rps': 0x651cb023e8a7c22b217106f3145522d3,
'sps': 0x7031b6518a99ce96a9f2b5991fc4955e,
'tps': 0x339a57d16284b3a9c5adbcb66b85e99a,
'ups': 0x7b0746dabfaed032913530c495453f0f,
'vps': 0x9bb97f529b65ccd7ddabaee3d26fcce1,
'wps': 0x80db15125f01725d141584ad704cab47,
'xps': 0x5e370ed72f11412c763dbeb9a8e53e1a,
'yps': 0x824b7c531591af853d310b1b028107fe,
'zps': 0x5c284a074767998e9708c3656d41a91c,
'aqs': 0x05f38245190a568c7317edd5f354721f,
'bqs': 0x26febc83bbb5c1efef55febed6a36654,
'cqs': 0x7d729e5db1170929650cf534f45e9919,
'dqs': 0x7f84d6a8fcbafa0ae493e2d0c1e1bd70,
'eqs': 0x5b4391d9ee3615e5afc50cb2e5c6889f,
'fqs': 0xc8f240d95f6d94d34400700a31e016c6,
'gqs': 0xc6ff630c527b9652250b5bfc9b7c1149,
'hqs': 0x9336e64680c0e11f2ebd398bf23abd8f,
'iqs': 0x5713377fa26568ebec686469a544e528,
'jqs': 0xc4afb85f2c4f1d922c68f19e009a593c,
'kqs': 0x4db2c842f369b59f84245010d417344f,
'lqs': 0x8be45b7086d1bfa8a88abb7d4112ce25,
'mqs': 0x5db3f8420b53fc377a6bc5e28e8b9385,
'nqs': 0xea4af2f0ac7c90843529cc5b7ddb4eef,
'oqs': 0x0aeb6e5f2e7ba8654f702eadeacb345b,
'pqs': 0x93e7955eca1bfb712ecc9293479248df,
'qqs': 0xfa87d2d66521c64841a6f292d744acc4,
'rqs': 0x7b09dd7dc71d7a6339049538baa2e024,
'sqs': 0x252a8156d87a671bfeb32a02f200406f,
'tqs': 0xbf1e3da731dcf7f85a053d0550a25391,
'uqs': 0xa57a9956a4b498c684a4c388d720f4ce,
'vqs': 0xe64b1b09768bd3cc80b38b4a7e003f0d,
'wqs': 0x12afb6d4ceedc2ab1b94e3c0415b125d,
'xqs': 0xa95385e61f6d057ae67ed2872ea5482c,
'yqs': 0x4e0a24089588ce91feffa8b63150b63f,
'zqs': 0x4b52b342e7e82c2c886a1211dc0f41cc,
'ars': 0xedb18509e4a0c9173b432b83121805cd,
'brs': 0xca01ba434cb157dced11b9f0ba552096,
'crs': 0x29fa19e764c47fa898f697bf7bb940db,
'drs': 0x2a3b4bb3d8bee59009b8da70135c9637,
'ers': 0xc67fd61e3b7d35f07e3ca92c8a84a5ab,
'frs': 0x8d9ffc6dc6df2e5732fded8fec33e5c0,
'grs': 0xa1ca50b49044afbeeed4b5e31dbece6c,
'hrs': 0xc760237f74bcc7e3f90ad956086edb66,
'irs': 0x604571a3be2c02bb9e48d9284fded237,
'jrs': 0xc5f463701e07238d500611d7ee42ea47,
'krs': 0xcc4aaa1245234d2de974b392f8b4d880,
'lrs': 0x7862e5f4b4bb31408eca50803961b332,
'mrs': 0xadc285704d36eea9d4a23748ac0ff936,
'nrs': 0xc8a42edc6bc3e9499e1ae393e8fd5a65,
'ors': 0x70b6401e3bc944ef019df3cc8f783564,
'prs': 0x7a51b166dfe235dfec2901a24ed2f671,
'qrs': 0x8375d12f7e75c78f422e6df7b65c3ed6,
'rrs': 0x6cd0472c6d4b6820fc7d7891ede7a544,
'srs': 0xfd2a389677248c3d839524df77a9e73c,
'trs': 0x16e0fa9487f8be38583cb0dffde1e955,
'urs': 0x134edc12dcc61911b084b3e06e4ab16d,
'vrs': 0x30967e36448a9cc4a7b13b48a35ba90a,
'wrs': 0xbf114c476511e1a46b08fc05b3fbaf45,
'xrs': 0xe8eb8411a4c5a77693e3658af4958eef,
'yrs': 0xdd54b79040542ce0f6691e1a1945827a,
'zrs': 0x417e70d702356cc48bab2a1ce8e194f0,
'ass': 0x964d72e72d053d501f2949969849b96c,
'bss': 0xf71487b7aa051b7c1531ea4e0d0963de,
'css': 0xc7a628cba22e28eb17b5f5c6ae2a266a,
'dss': 0x07304e56c452be73ad2b51a4647d0300,
'ess': 0x38107303966b78ae457d3b5af233a9b6,
'fss': 0xc7b904c76d64eae332d14b7c9afdaff9,
'gss': 0x024743cf5c8d4c372dc312c74aaba64c,
'hss': 0xf771eb6211d0f2afd59376c3af8f786a,
'iss': 0x32d72713167aa8cc88de917e16b79890,
'jss': 0x64a55d578f856d258dc345b094a2a2b3,
'kss': 0x931b7714f8e92ee8fb4265b5d68aa5f6,
'lss': 0x4ee4ea3d0591f335b48c1637917bbcbd,
'mss': 0xe5148401a38978b6117a6b09df52d916,
'nss': 0x4d6c337a3e6b95ddea8fb109f7c0ad19,
'oss': 0x3696441120a402f793a704766540e69e,
'pss': 0x1a57e0bcdeb551acf8b8aac651b5c6ee,
'qss': 0x879eab7b1e226d729c4a452fdf657ab2,
'rss': 0x8bb856027f758e85ddf2085c98ae2908,
'sss': 0x9f6e6800cfae7749eb6c486619254b9c,
'tss': 0xc449c5ffafa1c27c6a60c62a5be3ef21,
'uss': 0xb4adcb50f1ee7b54194f82d866331b31,
'vss': 0xb4b2ce5fd627b3ad6c902c2c0693523e,
'wss': 0xebc308f979e135f40483eec4b35feea1,
'xss': 0x2c71e977eccffb1cfb7c6cc22e0e7595,
'yss': 0x4b8ee6d4825e50b3319945f0b5ae9ca5,
'zss': 0xaad1db35f0b1aa1072936d9977fa3cb5,
'ats': 0xe203a9bc993f9067e54e2a36034d38ea,
'bts': 0xc3ea886e7d47f5c49a7d092fadf0c03b,
'cts': 0x961ed8239bc1b87dbf4d7ba27cfef9ba,
'dts': 0xda358a1216cf11bd724c0aa17441a5d2,
'ets': 0x68d5d1f1f90a79bfcc1a02a14f58e17f,
'fts': 0x25f54e7fabba09fa3b75cd4a29235ecd,
'gts': 0xafe18ed979afdfc8b7f0f6e657481f2c,
'hts': 0xbb4901446d6398dc9e444f35e2dba7ed,
'its': 0x584826e70485130530f7f01a973d5637,
'jts': 0x50c3c0d172521fa2e607579dc047fa97,
'kts': 0x173a89986ca2440c40eb92481db7e6e3,
'lts': 0xa371c48b884aa5799cc4e15a625d2be3,
'mts': 0xd7a14e30636d52e10b35d10c02578019,
'nts': 0x5c96e4f24ce6e234e6bd4df066748030,
'ots': 0x3b4622d6ae72798660938088626ef22b,
'pts': 0x8c9a70dc1e604715e475d87430ba602d,
'qts': 0xfec5cae834722dde2a100aa236dbe34a,
'rts': 0x9321de6b7ef6b1afa10d8fd803fbd437,
'sts': 0xb846077409dc6a1778d9fc7e313fd53b,
'tts': 0x72ecb0838c7b4ffba137d25212333414,
'uts': 0x695d878bda76c75ee101da0497b7ad93,
'vts': 0x2dda8284800eb328b87b7161c94104e2,
'wts': 0x662456d60ff2d15d8bc3a6ec17b27255,
'xts': 0x8ef0fcc21eb2eede584c39d6ea11aa75,
'yts': 0x023241f327c5b72c52d14fe74e9f1bcc,
'zts': 0x1da03ca753a1a6b0dd1288d09dc1bd52,
'aus': 0xfc8baa6879e639926be3916810962e13,
'bus': 0xd20f83ee6933aa1ea047fe5cbd9c1fd5,
'cus': 0x5ed3341e31fc13fb3bb013723b9c14be,
'dus': 0x98e653972c27a447e3a67946067f5ae0,
'eus': 0xeef2b6cec1c08d36f23c100c58b71647,
'fus': 0xdd128d4ee5873d0d4cb822e94871336d,
'gus': 0x84a26c4612a7f9958174ee6552625282,
'hus': 0xee4b742d5fc2159c78cd15cef9d238d1,
'ius': 0x689c4f6017e042e16a6315622d4fc11d,
'jus': 0x6ecd178dec5ed191b3d7911eabe7b75e,
'kus': 0xc1c17bb4222efbc946772909c33c370f,
'lus': 0x90cb16c5c9989fe4a0a05c2df0ec5523,
'mus': 0xd62ec24d065e424dd816ce7828f62584,
'nus': 0xb84d8185d9fc5d64de366cc8a06d8ef1,
'ous': 0xd56d05986d5d329974c87a115f4f81f1,
'pus': 0x4d4ba904b38d85f8001cd15526c82a56,
'qus': 0x39afcf3048cb78f35f19c15f0b30b8c8,
'rus': 0xa04202c712aa415f47dbacb817a60397,
'sus': 0x1158f5f8d240a731d28068742adea0fd,
'tus': 0xcd61363a23cbbc0606ec6f2725b1224d,
'uus': 0xa6e8c26fdaeff2c0230f864ccbc610d2,
'vus': 0x59a0595a9505de6afcddec15ffa149cf,
'wus': 0xe57975a3de048070cbd23de65ac5776b,
'xus': 0x7406043fa0b4f5a418237a69731bcae0,
'yus': 0xefb6e5a9e90a1126301802ee0b3f11b8,
'zus': 0x8c3de64e1452e7f81a3bbf99046c07a0,
'avs': 0xd788a5499d320b05602a6a0805c81403,
'bvs': 0xa12583b16148c3246e9c0f35ad08b852,
'cvs': 0x72f1a850d966375fa159121c7c8b09a1,
'dvs': 0xb85feeb4cf07470148789581f37ac988,
'evs': 0xd1c994cea20642120b8ccb13bf716471,
'fvs': 0xecaa86117f9713c1d28412675cad61ad,
'gvs': 0x4bc188199dcedec73419afeace796232,
'hvs': 0x4f33bc98c4bb797aed8304af2f80ba2b,
'ivs': 0x873852e38ceabd55753ff7992c2a1ccd,
'jvs': 0xd8c8397be0eb69b390706072033c854b,
'kvs': 0x6dcd454ae712b667e0f2fa2f04f7b99d,
'lvs': 0x804df3e8847f00722630d36840188506,
'mvs': 0x68ad985e21342c4d442c0320b7e6025d,
'nvs': 0x0f1edc61cfd92bb31d2d61eeaf480207,
'ovs': 0x99415f0b9a2ae6d7290f1add23e3e4f6,
'pvs': 0x8da66bd15fddda7df4d02c12421a2d7f,
'qvs': 0x2c9057d2bd473f944c796558e908d715,
'rvs': 0x42016874b6a93f7700fba1bfe1f7674b,
'svs': 0x68fad0f65f870566534d1d5ac0442596,
'tvs': 0xf3d320408efc5ab66630b9ffc6c6cf2b,
'uvs': 0x04b78a7985bab2a4f7725b46fd204fdd,
'vvs': 0xa1892eb3e1f268599f6b370dc714becd,
'wvs': 0x1c20e20a6b917f71446abdaee225a7c0,
'xvs': 0x76a935c47bb47ef0c963ad8f92b1d837,
'yvs': 0xb65505fa8d70c80318638e4faa9e7c79,
'zvs': 0x76c4bae87cb1e95607c37148d4339654,
'aws': 0xac68bbf921d953d1cfab916cb6120864,
'bws': 0x416cc041babb74d461e4c2690e1e536b,
'cws': 0x23abe62a446fc05ce0a6c810f4045308,
'dws': 0x898e82c94d7703e96f7ea83b31e0ac2b,
'ews': 0xb1e38c354c61f5100c18333b70255c0c,
'fws': 0x398bb4752a2b9a362871cf89249ca133,
'gws': 0x562ee01fdee0fe4d087546f7be1d3929,
'hws': 0x39babc4eda447a5308b60d1ce70bc6e7,
'iws': 0x8ec2374d232744ab1483941fdaf1dca5,
'jws': 0x62e9fb11526872de8fdc91e512673b66,
'kws': 0x4947e26b15c977d269f9f85e167e5871,
'lws': 0x53405b60239bc84097da5a94c0c79233,
'mws': 0x980e673db875092c7d33775b92bdc2ca,
'nws': 0x88c4dca8b14125e475c06f45c66b3990,
'ows': 0x4bd2c1ff3b95e7effa8bc72975fdfd68,
'pws': 0xf9ba7d6af07eecbbccd33510304aba1b,
'qws': 0x548b8a698396d01a24b4a85518075673,
'rws': 0x106f6952596ed3938f8cc92089d6c30f,
'sws': 0xdccac6c2a05156cf3279028f88fafe74,
'tws': 0x85b791c3a202d46a7f5982922ed6d3d6,
'uws': 0xf4b31e210b83185d7ffe2f7d483b2def,
'vws': 0x8eadee186be9fa5eacc6b885ce55fba5,
'wws': 0xc3a2aa77c8d8be2979beb15c96853d38,
'xws': 0x3bb145f8a6e0970c917da74058fe71e3,
'yws': 0x091ba0055e5dfe397667dd56b5982aaf,
'zws': 0x9b3416b56c3d63ec1758d76e5ab0a231,
'axs': 0xdf70c99bf26d19858d254e0be0e1812a,
'bxs': 0x02ea9ade434d0bc22f5f3b664790541c,
'cxs': 0x5622dc892acb274e1dd28e18aabece26,
'dxs': 0xffe819f9f281b896ef8a734aa9103cb2,
'exs': 0xbc5c47b2bca00caa34a928db51d36119,
'fxs': 0x2a6d5f243dc4ba5f79bc7c7d1164b8fe,
'gxs': 0x510a3a39d5bb8fdc5bf2fe542c6c6f6c,
'hxs': 0x3d680d299358410d6cb1f865cce9821f,
'ixs': 0x6c400ee9ee7fcfcccde4fab2c4d3d10d,
'jxs': 0x2b55a058c78fbdf07df0f4047cdd4141,
'kxs': 0xb1b6fcd70384fd32e4b5600086631d98,
'lxs': 0x6dde18b9439c4ae7f7ea18191a60e192,
'mxs': 0x510f47cf182cc6c796f93a0d00e532c2,
'nxs': 0x8434e40da3d8aed467fdfc65da3f41d3,
'oxs': 0xd6089445ce7bee6658559ace3b0c1671,
'pxs': 0xd165e6ff7930087a39a66e9788bad92c,
'qxs': 0x243fbac8eea05d67c7e868d542d08f21,
'rxs': 0x361f6d19ce7007eeeadd21be9ac41ebb,
'sxs': 0x484c687aca38100463a763fc4c53d3a0,
'txs': 0x5ba4ea1aff45c3a8db09f2b8f3539218,
'uxs': 0xf151d568c77fbf43dcaeaf0b9a9e984c,
'vxs': 0xdf40f49ad62a33e33c751560e9341599,
'wxs': 0x8a5d516026d1a29c0d95d3d95d079d6c,
'xxs': 0xfb7b7da256a1cb6145c3347d1a77c832,
'yxs': 0x0bfca60016123804fafcbc8cfce83e91,
'zxs': 0x68f43f44054de89e6ee5ff03adb26542,
'ays': 0x17ea46ab121b0f57bbd930afa2ef38ce,
'bys': 0x6205bd1e57ab19a6f63a6d57da0e87e5,
'cys': 0xf9c516e42fdbabfeac4c0b6d3e32b04b,
'dys': 0xa851e45c1daa1d762f2500f9d0ab0700,
'eys': 0xe732d745e4da1f2f68565ec64e652ee7,
'fys': 0x6314df16084c18e60bf8099e987d6652,
'gys': 0x66580a1fe9674a5ac280c5c1b4bc1dc3,
'hys': 0x1de0f669d7a4a366083cf44aa7c531fe,
'iys': 0x6ba746cea48cc6ccc4927a974296e45f,
'jys': 0xdbd89e2c65db519bc5a9e1761ed7cfa9,
'kys': 0x0a47484cf8a49fd036e1acf41c7619f7,
'lys': 0x8653e6b3b07f55366c57d2148fea12ad,
'mys': 0xc798cf2f72704a7ef75ae09db3687de7,
'nys': 0xf7f107aa447e58448fa6b00372659fce,
'oys': 0xbba0b41160c3f8a3c5179a900b20e071,
'pys': 0x28e50223db5c0cad71c56bf0c480d945,
'qys': 0xf8b2d979b89cc1443a08a7e852291601,
'rys': 0x998585e549db262db7bc3c77945cf9ce,
'sys': 0x36bcbb801f5052739af8220c6ea51434,
'tys': 0x595980803175ae40fc8c801a77476747,
'uys': 0x3618edcd267f4836f4eec0222bc714d9,
'vys': 0xd515db7305c8b22e6a3d9c9a27344c52,
'wys': 0xac723a3af67d7921b264df1ecc59cd7f,
'xys': 0x25eef40b18348c42d271a0c1090bf9ec,
'yys': 0xe5c561c0ebc6c9e81db062120bc22176,
'zys': 0x85558627188caaa2138099aa53d4ff5a,
'azs': 0xa86390de0dfcf805e4672ac6857c1277,
'bzs': 0x01950d1058c5a4a540c7da28dfa03105,
'czs': 0xd090bdfa565d061a6e59f8e444486d71,
'dzs': 0x89a94ea2ea6278c9a9e7ce0694fc87bb,
'ezs': 0x015175c4db7a66221a5dd89fbbcf9b4b,
'fzs': 0x945775b23ed2273f134fe367d2f46717,
'gzs': 0xb6cd69f5380863535dd0a8dd4fef58da,
'hzs': 0x9963793b0f70cd2af5549e1d9f3cd052,
'izs': 0x2ce198d7a761dba470fdbfc46b560428,
'jzs': 0xb2da5cc56186204c959bc0c9f5b9596c,
'kzs': 0x9a0e2732fdc7e4a92189a09b0c0f3dbc,
'lzs': 0x85f32fc59a55e5144d8245340def0116,
'mzs': 0x3a1336648188224304194d762fb75132,
'nzs': 0xd93ea2dfc7e494b9eedf846c404e433e,
'ozs': 0x5b5fe936064814179eabe18c4fa9712b,
'pzs': 0x931ebcb675b3f812e432f90416c7d25a,
'qzs': 0x0aa0fc704f563e0b592ed176c25c9813,
'rzs': 0xd728621325f55163526ff665bbf65519,
'szs': 0x1cd24b635348736ef24cbbae0db6faf5,
'tzs': 0x86fb9662aa9114866fdfc30a8616c313,
'uzs': 0xc0ad6d3c4c1046727c80d0f70decb037,
'vzs': 0x693480d95357ca0276b936a324985b0a,
'wzs': 0x041bed082da040a4bf38bddbc2600aa0,
'xzs': 0x2f200ef7bb1abee2bd8b9863fc990bf8,
'yzs': 0x64bc9ce8f93eac87911c82a01df567e9,
'zzs': 0x70721871b78b35556d4a3979e65906ed,
'aat': 0xfc484e54710fe8d1ddecf6faf910e202,
'bat': 0x5f3f4681121b460e3304a1887f42f1c3,
'cat': 0xd077f244def8a70e5ea758bd8352fcd8,
'dat': 0xe34d514f7db5c8aac72a7c8191a09617,
'eat': 0x9a97eda6d89f5c9e84560468a0679707,
'fat': 0x0d8dc086e16e3ac48f05d555994da7d7,
'gat': 0xba3549d034e186e45d4ce000487741df,
'hat': 0x46b5e59b2fd342bf8fee10c561958725,
'iat': 0x555d469d4f308efa4c4151b4934e32f7,
'jat': 0xb28c197774bc8c9501d3d6352e679e00,
'kat': 0xb146a357c57fddd450f6b5c446108672,
'lat': 0x4073d41bb178273881fbc975e1af6118,
'mat': 0x4a258d930b7d3409982d727ddbb4ba88,
'nat': 0xd933df149c62be04ea54d3a9bfb0372c,
'oat': 0xfa15da3e120212962dacb650ee67980d,
'pat': 0x7852341745c93238222a65a910d1dcc5,
'qat': 0x5152d8db45a6cedb98308f888bb8fd76,
'rat': 0xe756f6aafafdef4debdb5e49bcbd3f11,
'sat': 0x53e8254b3222a33f42b5a6b3d156056c,
'tat': 0x872e384a07f7ea1e05fc742f5be6008b,
'uat': 0x0f804f9408ed7aedc080058ebc1d5b18,
'vat': 0xd04a4a2c8b7ac4a76c18da1a927e7aea,
'wat': 0x611c59af56268df5534fef5bc3c37b1d,
'xat': 0x8769abe0e4c7e76132a451ed48041d09,
'yat': 0x284e1a1e8aaaaa7b9e6bcf555c17a69f,
'zat': 0x241a7ddeffd13fd8f0d2e973c52c57a7,
'abt': 0x7ac686d555992ba37ca0f975aa06ac74,
'bbt': 0x72bbaa53b3296b3821e5225e8f7e9327,
'cbt': 0x7638e20f13e9fed7eee4a576059bbf86,
'dbt': 0xb6ccd40d2285deac430714c82f73e033,
'ebt': 0x30cb6763a8a6ddd1c4306a4bdc2a121e,
'fbt': 0x9d144dc245c8f7cc4f9681babf1703e8,
'gbt': 0xd28e52d1c918252a4bd35bc4ef59bd23,
'hbt': 0x783b85ab7aab9a3200db2aacbc54192d,
'ibt': 0x39d3e4357807214720180d95e3ea80f0,
'jbt': 0x9275381c5e1f4b3a9f5e04d5da0ec755,
'kbt': 0xda8b02aa4f00dc7eae04377bc4a636a2,
'lbt': 0xa99e12a65114d9936a213d57688d5974,
'mbt': 0x0e96e0cd79f42046228d231f0d772746,
'nbt': 0x16103ab618dac97a8dcb7c31353e1716,
'obt': 0x33bfc0a7990e08c5f7a41ff950fd8078,
'pbt': 0x106a10188109b25136e6bf511fa8dcaa,
'qbt': 0x96e52f3a6ffb35d1ed569ffeb15a7eae,
'rbt': 0xe6312567c1c5ab98ae23b089715d997d,
'sbt': 0xeadc1bacb17aea28d29fefc19868b5e1,
'tbt': 0x2ff7dc56fa2ee9726a67782e2c6b442a,
'ubt': 0x09362bb0d95fbbce0555dbf10a7b7754,
'vbt': 0xb6d5259034c687bb1421bdd6f3922623,
'wbt': 0xab159ce3cf8b0be3e2294742085de248,
'xbt': 0x66d666d33e1ec00ab77bff9a533cdc30,
'ybt': 0xf57b5362c2a4275ef23ae64f95a40e1b,
'zbt': 0x10c1593a52ba83ee501592b3e8a1e569,
'act': 0x316c9c3ed45a83ee318b1f859d9b8b79,
'bct': 0xbeb2320f00aecbb437ab14156caef338,
'cct': 0xd4c9fa26976902c7c4cc2e3326e7e07a,
'dct': 0xc2479e80583273b2466807d87b214c55,
'ect': 0xb3116a7bcc1c58745d7730dbeabfe653,
'fct': 0x3421f5eb10975742a75d3f42e1a9e848,
'gct': 0x90ccc88964ea225803b03491dea359a7,
'hct': 0x1234fa03f415956a18d248bb3471ba0b,
'ict': 0xa7304e71e071e089d5edf94ecca2c3c7,
'jct': 0x6ddae37df634a8a3ec2bc625a4a5f458,
'kct': 0xb3a62bf700481ecc4700e5913d2e4361,
'lct': 0xcc753cbe55f2b4e2228e5c668ed2bc68,
'mct': 0xe4c7d6d100b4a12588847e6b2101fbe4,
'nct': 0x130d6165fbf2872cfbe14c667d5a0c4b,
'oct': 0x1cdbdf89f2d1bd3dd9e698b2b320cb86,
'pct': 0x973333fd6d3ab217522f3785d5d3e6ea,
'qct': 0xc5c462483aa9cb6d54e06e22ccdc8c5d,
'rct': 0x2650801e79db80f9dac78d532e718415,
'sct': 0x04ed5e26fb5bf48948de7b14fcfb8c81,
'tct': 0x039101a793e5708579036ce933ae2766,
'uct': 0xe47163e3ea4b4dd7a31568b7eb3c0838,
'vct': 0x7ed6cc10b2b9ef57dadbe3579f2d866b,
'wct': 0x01ac064d4b2921a21a39f513175529a9,
'xct': 0x0db9774b86aa5a219a0939cdd5c5aa08,
'yct': 0x2c5e5304b550076ef3a66d8e4d3812f8,
'zct': 0xf4e2e47d44d64366dfdcd0e31a462a54,
'adt': 0x018c0257ca7d132785ef77637a7e98c4,
'bdt': 0x0098bba99b2eedd9ae77e7d563b28f3a,
'cdt': 0xa7a1072f6fd63598c9972e6db057ce00,
'ddt': 0xaa37a3d1f575827ce549144f253f84f8,
'edt': 0x7d7955f02d5608ccb748069bd729c519,
'fdt': 0x35c34be51b1fb62b33823e4c8985a4fb,
'gdt': 0x0bef679c27a1c77dd1f1dfd3c591894b,
'hdt': 0x2ad202b4999db3676097a15e7a8d1982,
'idt': 0x34bef5f7d97d280abfd86e52d013fbea,
'jdt': 0xc6ee7a8e76e5b2f213741ab8e92ed938,
'kdt': 0xa084f3dd58f1023654a7b69dd4c1e9b6,
'ldt': 0x0f17a594524a3488c7f8a691b7f9a800,
'mdt': 0x7b381369f7d8628000d4e609432c5c7e,
'ndt': 0x8484cb2ef6af8a910db021e5fd4ff2cd,
'odt': 0x221fb7895674c954d8e1af19c3febe95,
'pdt': 0x1620c86eb4be6eeca543ac90760b04b7,
'qdt': 0xfa0484f11e9926f4e7e8ce7c6c78412a,
'rdt': 0x53051481fab60b6a6735f9dc3624c2d1,
'sdt': 0xca536f6151a7bf74d9b969b61c8f9412,
'tdt': 0x9de46e96e347231fff03e4d807f7a922,
'udt': 0xdf03a7cefdd848a26593ba8981c4d3d3,
'vdt': 0xe1e22cbf37732c37b42d0927dd571298,
'wdt': 0xfc487b58a6194c1631bfabe793c97e6b,
'xdt': 0xf13ed1bb4ec274fc9abe315d2459082a,
'ydt': 0x570928fe8663c789e34f298190120c99,
'zdt': 0x0678144464852bba10aa2eddf3783f0a,
'aet': 0x75165652f5b4322d4c618e0ab3a6c49f,
'bet': 0xbbe991a1b594ed7d73b4a0f43c407745,
'cet': 0x2d9140411b361d2a492367d3069fd678,
'det': 0x5b22539a9d8246393e3e09787f03dd46,
'eet': 0xba62fd6169414cfb7c2d7e4b896ef184,
'fet': 0x27e9eb286aa03230973989bd4ba197e0,
'get': 0xb5eda0a74558a342cf659187f06f746f,
'het': 0xc66133177cd4d5050a02ff2bb947475c,
'iet': 0x9df034031306e4b14ee97b5675e83b44,
'jet': 0x564f60a2dd82ea24bfa3f2f615348f7c,
'ket': 0x83f989dd820bb3683ef6ff6b2bc7fd68,
'let': 0xe1686078d1b60d351da5a87543a2a663,
'met': 0xc4c4909eaa4fc41a39f0fa5c96f30cd6,
'net': 0x40fa73c9d0083043c6576dd2b40511e4,
'oet': 0x822aa94b45262f1bc286cf33e9e664aa,
'pet': 0x6c43c0a88fbf0f44ba944d00524e45c3,
'qet': 0x6a14d0b5928330fa099a3df0f4b085e4,
'ret': 0x2cb9df9898e55fd0ad829dc202ddbd1c,
'set': 0xcdaeeeba9b4a4c5ebf042c0215a7bb0e,
'tet': 0x129cc883df47f2c03616cc0010ed30c5,
'uet': 0x49f5b4da5f1e84c44a2b6831fb5e596e,
'vet': 0x2fe585b232995699edf68a537f91d31d,
'wet': 0x9ff49c6a11b0ed72fa190e9b55ec4f6d,
'xet': 0xd8ba29a7e705e9a8e9b13558ed50db57,
'yet': 0xb8284650440a8e32b5189e1bcb3e94d8,
'zet': 0x18c11e60d1ed2e67520dfa33acf7e3ea,
'aft': 0x87784c5f687a8e202cc7cb71b5ba7381,
'bft': 0xcda2762f16e369d664ee7348813bb04a,
'cft': 0x0e205d766779bb943585731ea51cfa54,
'dft': 0xc555ae2c9a58e4d5845515455fd4ee8d,
'eft': 0xcaa3416ed8680836c498d62f05f7da48,
'fft': 0x9473db81d7af66f5e2a8319424834877,
'gft': 0xb6481cd189a68e34e5aeadb484532fe1,
'hft': 0xaf399ee75d34a5038a79d8d510c0e0af,
'ift': 0xe514adfb55756cf232d029065004ef75,
'jft': 0xbfc52fcd07ca1cb618f65e3f0c2bd41c,
'kft': 0x20b9950a3334104c60288cc32e4420ae,
'lft': 0xcaf7cc51e5d933c36ff32726b525acdf,
'mft': 0xcf9cefec9fe949410174bbe6ce6ee566,
'nft': 0x7401714a8393a2af87c8be3e173183a3,
'oft': 0x53e8e820ace8d675ad8a9572f434baa5,
'pft': 0x42068325089cb151d38358f24861f4ef,
'qft': 0x88d4da8d1518b856d02fa530ddb80724,
'rft': 0xeaf0bc693dc21d1a7bc3f48be231e9fb,
'sft': 0x6da9027d9879515082a45831e969415d,
'tft': 0x3a945be25af08a8ba26677bece997569,
'uft': 0x0c3d90a13d20ea94e93eefe2d260a192,
'vft': 0xa35d7bbb240b578980367d2bfc0bf7b1,
'wft': 0x4620cc8252ffe1ce9ba795cb341eff75,
'xft': 0x82435ee1bb39490eadfa9cb0e126951e,
'yft': 0x6293879e905cd6504386f5bbc8c61926,
'zft': 0xb0929ee370032b06893d18f5f08a6c00,
'agt': 0xa2922ec60c2c56d3f2e0beb5cab1d6e0,
'bgt': 0xa93e8d03e221da79dba13102ccfafd23,
'cgt': 0xdccfb54edd35bba8307f41d4142e1fad,
'dgt': 0x8c6315048d64a36b21d450d63650deb9,
'egt': 0x8595e6733a55bcee2ee863a53d652603,
'fgt': 0x9e76638dff0ecc29c7137e563f4b10c5,
'ggt': 0xff8ea425d3e258fa7138863bf64ffa82,
'hgt': 0x94d1b2cc770c23e6727b0c4071004168,
'igt': 0x05d377f8051d7ec841c88e6b231a1b27,
'jgt': 0xfe02de679c1eb64620041678470ab05c,
'kgt': 0xe087c4339d7f65063471b599e0471a93,
'lgt': 0xacbc33202f57e5d261b36acc9aeb91cf,
'mgt': 0xf747668bbfad36f9fa48d8e31b026846,
'ngt': 0xf56148a2719f5902eaf6f15f7d96f7df,
'ogt': 0x857c6674a8be6658c6e9a1eff2ae44ab,
'pgt': 0xc85422e48c356b7c9fef85f6384f7114,
'qgt': 0x8bc9c1beabf3fe92773e1246af3657c8,
'rgt': 0x0d000fbb4c10a447bd54c452d6f24384,
'sgt': 0x1ec1d0cd6f4a399c948f847d63a10c9e,
'tgt': 0x058de92451763e137316df3a36c24b7a,
'ugt': 0x46e4f6f9feb1d86bba749d5f30aa4e33,
'vgt': 0x68d09a1f111fa50588feb036685f241a,
'wgt': 0xce020a96e767776724bcca6aa05d07cd,
'xgt': 0xc00e693457e18ac070c8ad23cb1250c8,
'ygt': 0xe33f023eca35a4843e1a40d0527ba3e8,
'zgt': 0xe9bd7b2b676ebb440db65643fb841d2a,
'aht': 0xadc0ef2877a51be4a441780a6535e8b5,
'bht': 0x3ea53dd7919fd4c58650bbf13485831b,
'cht': 0x7d1cf34ccafd0e26b00bb21cd8cce647,
'dht': 0xb06531b17f9586226d526fff54527c8c,
'eht': 0x39b23b8ff24d27aad5f34b68a60ce3da,
'fht': 0xce0536d4a09bd690b6bf3d97e4cd9631,
'ght': 0x15bda1664d8a3e8e78f8a054254728ce,
'hht': 0x7b2270335426de7fcaf0822086e226e0,
'iht': 0x16cc3a64eea40d4025ef48333b4ca79b,
'jht': 0x9778ad4dcfcae0d8510f93645a57876c,
'kht': 0x76656a564ad0b747adf6230a3e5d4271,
'lht': 0xdc339219139348e2d1f8eafc3a01b015,
'mht': 0x74f3215b67fd2333ec276f6b8d2c6c01,
'nht': 0x6c827367ae4ff3a29242c85b420064d4,
'oht': 0x60334a961a96f932c2dc6de60c5f0bf2,
'pht': 0x74f592ef463954b4a756552fbe2870e9,
'qht': 0x0d9e19e0adfe059ac490b3868cc7b693,
'rht': 0x66178eaf7202c7afeb4753adb20e6e0e,
'sht': 0xef63c2cebe365f81f899327a2f044988,
'tht': 0x5549219ed402706bc6972e8bc830bdef,
'uht': 0x8e5cf84b4852b8d33488ff0e6e2d2583,
'vht': 0x57e49e761fc682e67d892535b8792e20,
'wht': 0xb3da3b9f0f8591eefdd1839944e9ac12,
'xht': 0xa1bbc30a4d9bfd5d7f6a8dbbf5d13d18,
'yht': 0xd4ef4399baab48b48af109baff033854,
'zht': 0x1bae87db3b0d24372000b0126e007cc6,
'ait': 0xc08be1f2b04de914268d602786d04531,
'bit': 0xf67169dfbf72c4ca285e9ee12e3e9ac5,
'cit': 0x29ac42eae102c3a959a282836a9ea832,
'dit': 0x1ea8cf293ef069b55b38613eb7a1071e,
'eit': 0xb9a606302084e3bf1dcef8eac7ff7b60,
'fit': 0x1977c9daa1d67de51a4651abdb160c09,
'git': 0xba9f11ecc3497d9993b933fdc2bd61e5,
'hit': 0xf09328d495fa622700aabe5707edf00b,
'iit': 0x8fa985e47a9d6f1bd3bbb75427442f6b,
'jit': 0x3b6ed253881516f91c2cfc9ac246c406,
'kit': 0xffa044f5d18974a3264c23a5e1e06217,
'lit': 0xef28f869b241b00b879922832b14da10,
'mit': 0x72e4fb8f76b9782b79a91e549325bc6a,
'nit': 0x916e2e1eb19b39b28a13416974202bbc,
'oit': 0x83d3a49a637067949b283caf9e98e5ef,
'pit': 0x721f99927350450e076a57d4c74221e1,
'qit': 0x7113096922776f0e770e9c3eeb726c03,
'rit': 0x080045a7526717bb2ad9b5e7ca28dd13,
'sit': 0x87d4eeb7dec7686410748d174c0e0a11,
'tit': 0x46f4b5abc1f9a4fa0eca0520517e5730,
'uit': 0x91b40cd81fb2a51014aa79bcac852a5b,
'vit': 0xa1a1c4dbebfbcb0569e5142c2f9c8de2,
'wit': 0x26f6bd393df766642c4e6215573c6059,
'xit': 0x0914589dea7deae99c73d3a00d0e42e6,
'yit': 0x622c66105ea77117224419fe811d09d1,
'zit': 0x9a7171c0a2a4b205ec90d824c5d635e0,
'ajt': 0x3ef7fbdded23d84bd56eef6048da485c,
'bjt': 0x487c70e53cb7de3f09fe4195be43fab5,
'cjt': 0x66754f4b92b2308707a301f72934c356,
'djt': 0x26f588e9861af433da4017c6052abcf3,
'ejt': 0x924ded73f0f7fb2c22c7606c3146d2d3,
'fjt': 0x51b35f0dbae0f72dc4dce4425ab03503,
'gjt': 0xe805fa162761a8fdcb44c3d969b565bd,
'hjt': 0x49b25f3514b418a21d8c8cd6645fc8e3,
'ijt': 0xf98b69116f09d235e4b8e100a6b373ef,
'jjt': 0x8df0acbab8651ee5e4e21eeb9709f138,
'kjt': 0x55a6101d8ecb59ec52b629ccacb56fa4,
'ljt': 0xea408adfc93bb6bcb058252d19d5afb8,
'mjt': 0xb0c4fecc272dd135ade5ef75e9120ebe,
'njt': 0x574cafb35c55f110b70c7b9fe1d16e94,
'ojt': 0xdacb2608981c68303ca3c13ef01bbca9,
'pjt': 0xb209830afb6ee785a2eafdfeedc7d314,
'qjt': 0xe41d6fc42b64c903298d357d769fbdaa,
'rjt': 0x9b791347070f793ec17c8dcda2b26ec8,
'sjt': 0xc66fa3775be3626720c2c63b5fbc3fdf,
'tjt': 0x95454ac5819f875bfebf61bca2702c5f,
'ujt': 0x0c184f7be3a62be8167440f0a2efe3a6,
'vjt': 0x69380565ea9c2a90601b5b60f17dcfb2,
'wjt': 0xc9b93bce6fff599fb147efe91636f515,
'xjt': 0xc4704a294cbf6a6b5ddc973dc7bf9969,
'yjt': 0xb512f10c85f46d4e98a1631f5bf58690,
'zjt': 0x38e3d2887e81f8caf5007f94b9a4e65d,
'akt': 0xfe0d872c4ea3e7d9f07488fc82841cc8,
'bkt': 0x3f00289d115df58802100220d0ffc351,
'ckt': 0xb14b5740f0bf5e966f9379ff89dc479f,
'dkt': 0x10332ba37475a62ff2a10c1d80575a3e,
'ekt': 0x3d962abec697aec6b122945e00548841,
'fkt': 0xbf9db2fbb790f4b1d5a68c90588f8c1b,
'gkt': 0x2778c57b6c7bdd4d66ad79684b8f362b,
'hkt': 0x726f3488cf75df63596b4062b141d08e,
'ikt': 0x91151abff74713e847ab89e316acc061,
'jkt': 0xa936a0058e0963ff14134e1d47dc8107,
'kkt': 0x909191416b510ce894ae1c5ec9951c9c,
'lkt': 0xd77cde6a7871520172673b5f650323be,
'mkt': 0x1eb0fa9e4ae6caeb56fd88cf422d6be4,
'nkt': 0x09737ebc4c0c9ee99945f0124d813215,
'okt': 0xa599236cb06af6f23c3907dd8fff8087,
'pkt': 0x9fd225aed9b8e1092008b6a18da358a3,
'qkt': 0x1a8f65e859cce05efda7f22daf8bb6f4,
'rkt': 0x10547896b5ec87e535107872d6279528,
'skt': 0x6e5ed3c1ba656eed7316c413df612bf2,
'tkt': 0x7b57f31bea0ae2e9c8e2985a285b922d,
'ukt': 0x78faf69f3c753c1417a9f6d904a15d70,
'vkt': 0x8531ecd4e8c5619a058a102550a3e9f5,
'wkt': 0x20d55abcdaa5681082b755b652a8ab68,
'xkt': 0x16a82bbb0b83f1f7092e64f855cdb4a9,
'ykt': 0x4fd737de3016dc45a2055e270e81d13d,
'zkt': 0xe92ad3b9b6881e0014daee2f5ca53fa8,
'alt': 0x34823136d0dd91d0f5d22db740f7679c,
'blt': 0x63ea8d8c31c06f36545b9de5bb2e3563,
'clt': 0x42e7ef3662a4459c9c98f897c1ffee4e,
'dlt': 0x8a41ddcd329749af8218828b17253c34,
'elt': 0xa34cc4df9efbde613123ec83659261f5,
'flt': 0xa77d267d7c75b97b497e18d447f8b67e,
'glt': 0xc9d80f7fc666d72c6c3abeac240f8ac6,
'hlt': 0x4f4000d921968b9665f52e88333007da,
'ilt': 0x81732273c9057c4b4f211dd629cad9c5,
'jlt': 0x0f3f98f8d4a30e74126311e332e8fc01,
'klt': 0x826f5f947350a8b09215177602e8168a,
'llt': 0xa5931013ac153142771455ff516272e1,
'mlt': 0x4d9254acfdc372ccf15d9df40336bebc,
'nlt': 0x171f1d786291ab46c2b40a81f66ad938,
'olt': 0x837832088ed019aa6f738121b9b693af,
'plt': 0x60443f67c6816f5e64f33e62827883cf,
'qlt': 0x2af62e937404dc6d159c4e2730b305d1,
'rlt': 0x005faa431f4ed13a53b9fbfab52148b2,
'slt': 0x926435b4224ee910519100e761c58ba3,
'tlt': 0xf8f16c9efd71804f0c2a27dc5111a9b9,
'ult': 0x3c19c5dd9d58ca90ab5654b8a519b179,
'vlt': 0x4c8251eab114b6fd75012a16109d01b5,
'wlt': 0x0078c41e3723d2a5976593d2c9b4b23b,
'xlt': 0x1ba4cc134ddc62a8a24bd4f4322d3b21,
'ylt': 0x154aa24c513047e85adc69d76e588b7c,
'zlt': 0x9e8290ba07d184f2c002c784404f86e0,
'amt': 0x8def24c6f2087f4f9b2e04c3d6d559b7,
'bmt': 0x4479459e822346f1d9db6301092026ef,
'cmt': 0x4d32cbb621520add76c87c914b538b5e,
'dmt': 0xf22c8d4b7318fcb85563faba1507ce96,
'emt': 0x17df5675c2ee9097f8f604167fa89f7d,
'fmt': 0x7631454338ff70b1a6b1262f5f36beac,
'gmt': 0x3cb8eb17ba602a2951b9d2c11f1de623,
'hmt': 0xcffacbddac2b362eaa241551bf705dcd,
'imt': 0x162c15a41e2f00002d718030952f991f,
'jmt': 0x4356a35b6aa848963720d397c9cadb9e,
'kmt': 0x2e3252ce6e6465b286f46245d94b0153,
'lmt': 0x593fa33952b888e342b6ea8797ade4b3,
'mmt': 0x82915a4d88af6b86b4d6cb42705ffcb6,
'nmt': 0xf02b72cab4825557d7d297eed46c7294,
'omt': 0x0470be162633dea40c14135fbe91def4,
'pmt': 0x6ac84c6a0057f36df671f9d47b915902,
'qmt': 0xd240dfdfd6f081db2329d059a753cc88,
'rmt': 0x9405ff73d46075a0a69acfc422546504,
'smt': 0xd8cc653b02f7897915cdd2ee65540ac0,
'tmt': 0x049b1aef075344e6bf565af8365fe80f,
'umt': 0x718a056e741edc84150411c119fd9ebf,
'vmt': 0x00e6169f29fb18b8b005327e82788cbf,
'wmt': 0xb5aaa055318011e29cc4b0dd8946ec61,
'xmt': 0x44964dcd69d30b071691d0afc9ffb075,
'ymt': 0xc9a0830760b20ec004d8e32c4ff62dc0,
'zmt': 0x9aef758529a2ee63e1a3f7c106cb84e2,
'ant': 0x63b07e828bf016e976ff95d6ee07a105,
'bnt': 0x3490e0f05ae6902a1f12d2031bf493f9,
'cnt': 0x2817f701d5e1a1181e657251363295fd,
'dnt': 0x7dc861e501db7b21de378a1ce5fa17fb,
'ent': 0x645ec79f22bec5efe970061d395cf7c4,
'fnt': 0x0412dcbb70ad3f33805cdf25a24a1d58,
'gnt': 0xa5e669e9a3073f1384994f3b02576748,
'hnt': 0x520b9124fcbc46b4313ef4fefd9d2c23,
'int': 0xfa7153f7ed1cb6c0fcf2ffb2fac21748,
'jnt': 0x8f94d7b22fe16a0580f7bbac7d15060c,
'knt': 0x4f39175e74f3048686c7e2780fd675c6,
'lnt': 0x8d5b8cd0ffbb5b79862c0fe6634117d9,
'mnt': 0x9cd78390881d564d549c61bfa2dc2229,
'nnt': 0xa508fb1b5037213c2bb0d9a5243706d0,
'ont': 0x82637188694a3aa89d6cf201c08f1a33,
'pnt': 0x94a55296231abc15bf694cc638fcc4c6,
'qnt': 0xe93b949eb7b647d779d11b4c06fed225,
'rnt': 0x6510714ebb57e32bed27f19cf52e8837,
'snt': 0x1682776e775d1fa84d30d360e26b5837,
'tnt': 0x6a7ef638f3cacf258370a83d3dc741ff,
'unt': 0x8daa34c8e8e1cf098158f4ef2699598e,
'vnt': 0x2d9c29fd0d814dd1f82a042e69b04a53,
'wnt': 0xe6286bd0e355236fc0699eaa11b124af,
'xnt': 0xd2e062fcc9ff3fc11e455e424925b131,
'ynt': 0xc18cde2de82f7b1d32726bda78b88870,
'znt': 0x9cb5a1265b9853bdb5d7947b7d10807c,
'aot': 0xe717cfe9d1ca2a2245d838567640a326,
'bot': 0xfabcaa97871555b68aa095335975e613,
'cot': 0x97223fab7b0d4c64c07e6e004c602302,
'dot': 0x69eb76c88557a8211cbfc9beda5fc062,
'eot': 0x8cc16517b421262382c5cf28e0ed9a4b,
'fot': 0x365e3451c49bd083b7b9ebb3115b8ac8,
'got': 0x4a1a27296188c273f6733ead4fe4eff6,
'hot': 0x27369b3bf4483e8dcfd85ba9a39a947f,
'iot': 0x97c209ca505f2958db30a42135afab5c,
'jot': 0x20ea15fb4a4715222f7cf635247ef0e8,
'kot': 0xa986d9ee785f7b5fdd68bb5b86ee70e0,
'lot': 0x209f2308333b9973de9b4ea31d526b89,
'mot': 0xde81459305398c88048a05a620fb4717,
'not': 0xd529e941509eb9e9b9cfaeae1fe7ca23,
'oot': 0xbb34bdb533b492a62429dd0541d70c6f,
'pot': 0xecbfde1394f2dfe02d50081d8a35dba6,
'qot': 0x0a806bfc38d9f9e991896205f962b744,
'rot': 0x0d3d238b089a67e34e39b5abf80db19b,
'sot': 0xcf3c295cd4c898b870f681dd410af750,
'tot': 0x0b080119cbf1138edfa9132471e1a661,
'uot': 0x3bd88f208f6b538fae0f054a4636214c,
'vot': 0xe2bc7371e35ef379536332596becfd3e,
'wot': 0xb8032aea7cb0afae02c9ea8300f32399,
'xot': 0x3c6a5c896324fcc535baae6aa75a133b,
'yot': 0xd74582a6c3b2b8ae27a8b4cc0e76950d,
'zot': 0xc0a860f6159b8ea3fb49dcf531cf64bd,
'apt': 0x583f72a833c7dfd63c03edba3776247a,
'bpt': 0x980c07ea3b8d4fcbd75fdf93a87132f5,
'cpt': 0xdb03db5fcac3e42e9a44b54048ed563b,
'dpt': 0xae308b836b6dac98d08a719c7c53f8e3,
'ept': 0x9faeaf641865e634df7b65336a5c02e7,
'fpt': 0xe42d2ffb9097703605c32e83ea1ac20a,
'gpt': 0xaeebd1980c6662678028fc899ba441eb,
'hpt': 0xa1cf62324ea980ab05fee7b1d3147d7c,
'ipt': 0xd7a9da82f067c68ab93a0531e6957616,
'jpt': 0x1d41b874a5b9ffbd234227561fe33919,
'kpt': 0x7fc07040c19450ddcc07d80928134f11,
'lpt': 0xd490fce86517a384816375dacdbe0a2f,
'mpt': 0xac35308fff7abada50397bb69d5658e2,
'npt': 0x8c6a12a9390ec7590a6726a5a29fa4c8,
'opt': 0x4d29ea5f748c4cfda37434ce76a5e788,
'ppt': 0x8a267223a8635f5e7348cd0d01c3bb3c,
'qpt': 0x97db9bcd41d5fdd1ff6b068c8e8a453e,
'rpt': 0xdcaaf5237b6c18f979b4383fb42d3be3,
'spt': 0x86986dbb64d3f73c82718f1c91280b30,
'tpt': 0x13a5254387e4ab06d03bdbd2391a7efe,
'upt': 0x6a76df9dddac232e6a086ba74d53cfcb,
'vpt': 0x048aaa98e514b18982634b1bf6163fba,
'wpt': 0x58ca9dfa6ef708e90c9e664f9f41497e,
'xpt': 0x49f85c27ad6c7bbe7e38afc7bdb23377,
'ypt': 0x36de3f1dbf9a6e92ee65c170afae41ab,
'zpt': 0x198d0e215d3ff3ad68077b6c891c4189,
'aqt': 0xfe0acb89b27e96b18b0f2bb046f4b25f,
'bqt': 0x558f9faa033e9768f07a9c94a1918fce,
'cqt': 0xb9dd929f68b505e6be1d2eb87f47feb0,
'dqt': 0x1b0fca90fa43073d1a4b89a8f6e3875b,
'eqt': 0x5d801282d504a17b782b8c567e9ce971,
'fqt': 0x706087e1476351ed0e301e26d7e37d00,
'gqt': 0x78a05d45df1613609332c9a6f54f4417,
'hqt': 0x519534ec6a70b6594e856a182a572092,
'iqt': 0x895c34aab92ab39d89a69f08c927dca7,
'jqt': 0x8bebad8a7e4ead60f7d87d2757d7bda8,
'kqt': 0x65226eb3e025d4a7ce491be8ed0b645c,
'lqt': 0x1353482772422c42a1e7ac57f5839bed,
'mqt': 0x469bb8391630403e5c8e99ab64c50085,
'nqt': 0x7dc3e464107ad4a108e98ac6add68513,
'oqt': 0x88ee9394b000865d04c9d9f61f9111db,
'pqt': 0x6377268767f065492a3d9fa70639178e,
'qqt': 0x10dadbc3e6c50149303bfd820049e7fa,
'rqt': 0x9b46ba9b4adb1ef41f717dbcb7403807,
'sqt': 0x3e01524af96412c5e94275a0ec763580,
'tqt': 0x4050c2e3e3a08b9495ab36379b943c26,
'uqt': 0x051e1b3349d1c285741f0c9f38e35ad6,
'vqt': 0x52cc5d2cd98148cc95792cf740c62abb,
'wqt': 0xd32ea444a094889b10e2fbea4f5882a6,
'xqt': 0x009492d6f3919001b9014ca200393f21,
'yqt': 0x97f291d2ddae50773aa9e3bb10c3a1e4,
'zqt': 0xe3888f9ac8d9f1a127b4de84c85bfe4c,
'art': 0x2c5f64ab07ccb3e410aa97fc09687cc3,
'brt': 0x6f58f1c6e1c23b9883b863c676e249b7,
'crt': 0xb9265da4fe5f418a67f87e005cfed644,
'drt': 0x577a59598ca3b7faa0447dffeaff70a2,
'ert': 0xe3e84538a1b02b1cc11bf71fe3169958,
'frt': 0x16146527ae8976a41be672b2d8f1f6ea,
'grt': 0x537daa262cc758ee7ede412f3d73b2d8,
'hrt': 0xfbb3bad6a2ff77484af45d9da2ea501f,
'irt': 0x5b330d0812d96bb765e6b2eaecc58ff2,
'jrt': 0x6e2b209098094a927bbdae5543bdd07b,
'krt': 0x0ad1854d0bda8933d65166c4825eceba,
'lrt': 0x9e3efe0add3f706053b91cb81a4f48c7,
'mrt': 0x823d7bddd42716365c1a7713c4e20d8f,
'nrt': 0xa38ddc8d29a8252ac3bedc8f55ac059a,
'ort': 0x62527ce88d6fb17a11416229434fc887,
'prt': 0x06202b87153d246b5acbf8ed52301f6e,
'qrt': 0xd3f9d1b53e1dfa6b91ef40466ee99335,
'rrt': 0x90b96938746e2807481a9d64bc80cad1,
'srt': 0xdaefffb93e6c3be7136ba40edae4f2f1,
'trt': 0x30403986d25b7469318fff15ba08d6f6,
'urt': 0x938b601cea7ffc3d5279315fe13cb37e,
'vrt': 0x3180c4a3923265d8db6f9f1f4393c43d,
'wrt': 0xe335843aefef60d53a220841789a8887,
'xrt': 0x86c4fa0e42772735cdf97c398d352f2f,
'yrt': 0xe8e898e70e954707adbbebcf2c9973a5,
'zrt': 0x856bdd469fa3c802c0d00c3248844bd3,
'ast': 0x7c3a6c0f7beaa0d19955f0ed6fa2df6b,
'bst': 0x37482d08ba742837abbab57e40d7d5b9,
'cst': 0x2b9ed9314c9b75f085fcf7356337d30b,
'dst': 0x28e3d688a3c077b887921cea3fb1dbc7,
'est': 0x1c52bdae8bad70e82da799843bb4e831,
'fst': 0x3bd77778e6ff1c054e94a0cab12706c2,
'gst': 0x5f00708ad522f5847f584dfb8b50d611,
'hst': 0x36928fac51bfb096466390c7e989c3ea,
'ist': 0xe5a93371cfc7eab4a88221dd1f6c1a3c,
'jst': 0x61c0249db7a5e88feb04302c6c5d443c,
'kst': 0x2b75d61c4d4e844423945c34846aae35,
'lst': 0x6448ada3307e145ae5b2cc7bb2412662,
'mst': 0xa88ad3a75f88bbe93b64a7c55ade7a5d,
'nst': 0xb26c698cb35f2b5a9a6caceac7a83fdd,
'ost': 0xc00687fa6a20757e9048706f1465221f,
'pst': 0x67a063aecbd1fc4701ba184b92f695b0,
'qst': 0x8d8171ff1d9a8553e85d7da9b32a2aa1,
'rst': 0xd674dfcd8b4db6762bcb3667316d3bb9,
'sst': 0x51251df01484cc547f4d59bd93cd7512,
'tst': 0x9301c2a72c0f099d0313099f1cd54799,
'ust': 0x359045a3b7d0d1b035e19dcd3af5f948,
'vst': 0x7995a8ddd4cdbd8f120056cf1d167141,
'wst': 0xf1a9606104d2d32ec809d3fafde84694,
'xst': 0x1d5ea6c186020334915df7f8c2da5c11,
'yst': 0xb7ffaac16d2ac9e31f8a0cdeed6c948a,
'zst': 0xad5d4999682bc0b7d3684ec61905805f,
'att': 0x65db43f237832cbf0f299bd8f2bcf2ac,
'btt': 0xaa443757d111757165de7c1f991eb244,
'ctt': 0x6587cf8fa59d3c1140d6198955211d96,
'dtt': 0x167313fa37efe8d7e1f1916936fc89a3,
'ett': 0xafd809d729d54297c84efe986c56c22e,
'ftt': 0x8a15fb6fc7418fdfe922cf98ae57f171,
'gtt': 0x219c5d2c3124872bf731b3520cc3757f,
'htt': 0xd7bb3ab3115058ecbc7b0ce22221fd1f,
'itt': 0x94fff2216f5a387cfbeff2f1a7331cd4,
'jtt': 0xfaf0c32105716ba1ecc49bb834e8de34,
'ktt': 0x21037326de57ce777879634492148af2,
'ltt': 0xc1318c81c572bd3a19c41e93aa06eea9,
'mtt': 0x40e9bd78f2be6d5a4cfd392e10194b82,
'ntt': 0xccb3669c87b2d028539237c4554e3c0f,
'ott': 0x92f1711381180e9aaf1075b548544929,
'ptt': 0xdfe1ca0b53261f0ce13f17f354bf3698,
'qtt': 0x2e2b8374327f20f8543ad258ffe0c067,
'rtt': 0x2907765013f63b7f1f0316ab22edfc86,
'stt': 0x7588b80b93864348b103ab67c6e4b2b7,
'ttt': 0x9990775155c3518a0d7917f7780b24aa,
'utt': 0xdb68ed5b8a3f19eba78872457d2aa8f2,
'vtt': 0x7cf3862758afdea62ef699006c609097,
'wtt': 0xfe0768d6d455816d9185dd94f564309e,
'xtt': 0x1104c56e1cbc65c3a49b101623ab8eb0,
'ytt': 0x1d16ef871483ee99f3b62105a986b3c5,
'ztt': 0x28c6222ad463269808bd2810d34ad846,
'aut': 0x131d5a3daa39b73050f40a62372ee44e,
'but': 0x37598dad8f8805ce708ba8c4f67ce367,
'cut': 0xfe47aa7c733c490d36e80508d5dc4019,
'dut': 0xe747ce5172826f10f5880082e2b72729,
'eut': 0x808e822405561c05252ba37d71455548,
'fut': 0xf13f5ebf1198cffee32ff1ea9769e382,
'gut': 0xbd4ca3a838ce3972af46b6e2d85985f2,
'hut': 0xa11c65233b2ae3700c9133dbf9623429,
'iut': 0xb890b207381df06b12c82200068952e6,
'jut': 0x6c3a069907ca9724cf5c71a92f3e2195,
'kut': 0xc758810f4721f3c31dc44a881830aaca,
'lut': 0xb56efdaa67baedcc830a453ecd15b37f,
'mut': 0xd7304e43ecdabb4efa0636d51408ca80,
'nut': 0x18fc9c6baeabe5f323c9dab371901e31,
'out': 0xc68271a63ddbc431c307beb7d2918275,
'put': 0x8e13ffc9fd9d6a6761231a764bdf106b,
'qut': 0xddc07cc4218e37757e4bdadb6fcf399a,
'rut': 0x915a6a53e87cde98efa46d557a4625b9,
'sut': 0xb54d6ede5a9e895fa2ccc3b29e9de18d,
'tut': 0x77d8c068b77e5abd62ba3f873706079c,
'uut': 0x056fac2a7acd5d87f6214c1f156a4a93,
'vut': 0x7016b4494826ffe4d8603f5c2ff03ef0,
'wut': 0xc268120ce3918b1264fe2c05143b5c4b,
'xut': 0xc6e4d3795a24d391258b76addb182d23,
'yut': 0xed7d52625b305006a0c012e2e92bebe4,
'zut': 0xa8cd54ec3d9cdf563b4c3558ee28e4ee,
'avt': 0x235ba497c4dd101bcefce1a4f29a9e24,
'bvt': 0xe7f2d9f8decb1e6da93206e54e505a62,
'cvt': 0x0a8844b8c0c2bcad58a6b516656c8db0,
'dvt': 0xc4137a0a1cf3d44391a742ec11b318c6,
'evt': 0xf043cbe7b5ca8034d57c5286f4d1fee3,
'fvt': 0x6312a551a4d99fcfc21f3314d93d87ba,
'gvt': 0x8fecbc7204c268dbf9e32d70da22b742,
'hvt': 0xb3a1ac98cfce29720ecbdd60067193f4,
'ivt': 0xc29a094ab5fae28478d85dfcb29b9aed,
'jvt': 0x9ad3c79d68cb75e89efe2a0829b7b8a3,
'kvt': 0x5ad477c05c80e0a429228fd08ee2a909,
'lvt': 0x3b2b5c9b70189c85d37773be6addf4a5,
'mvt': 0x2fe69d1442a908dfd62735edf206911f,
'nvt': 0xf3a47d6a686e542580d2e3310a14288d,
'ovt': 0x604173fdc3ea2b51586c4f085bc99609,
'pvt': 0x4b35c3ea636a9eb0116c0cd108410053,
'qvt': 0xcd8bf4cafabf3aa316f347f7147bb580,
'rvt': 0x7f2f209f1d9b9eab7ffea4497a35bbbf,
'svt': 0x944147994f55d7e035d2317682c82391,
'tvt': 0x86ba81dea51e6f11b2e937d93144b346,
'uvt': 0x4437a20903623b8c0f528f48ed8ade3b,
'vvt': 0xcec577c173e4ecefecd5ac64ef0f03fa,
'wvt': 0x1a9d62f5a35429e26b92249a8863d097,
'xvt': 0xbd47c1170006aeb7560af87254605913,
'yvt': 0x9844c4891bde8a699b9d8257c5f07884,
'zvt': 0x9dac4201987ed78b1df5f425c05f3fa9,
'awt': 0xc8e1fe27d18a1f14bdfec450801cdfe8,
'bwt': 0x27476e35f67b63fefefb2bd5b0fa7e9c,
'cwt': 0x28f023e5ac93b1f59680012d195ffdac,
'dwt': 0xeb8fae66ad4fb1dab255c5a9dda908a2,
'ewt': 0xa415db1a3553dbcf4f8dd97389c447ea,
'fwt': 0x72a81d133342c19203ac38c2809a4aec,
'gwt': 0xd362c55c18ddf8da607de9d90bf32790,
'hwt': 0x63ce26ab8eeaab411ede72a91080f9b4,
'iwt': 0x47279dfb75164f8bd351c22fcf31ae54,
'jwt': 0xcfd61b8a7397fa7c10b2ae548f5bfaef,
'kwt': 0x1a11ced2ad024b1cd071ec8f4372dcc7,
'lwt': 0x0390972ad0cab49f44b99192e4def9f6,
'mwt': 0xb546592949dc3ad0af7318080a8f00f3,
'nwt': 0x0493074db6b9484f0453704e59e0793f,
'owt': 0xae38d30c0851e92a01c796426ba80315,
'pwt': 0x78c1c0a2d2f4e7c8de39feba83ff725f,
'qwt': 0x75c5b02864bb5004865f81c6b8e8d68f,
'rwt': 0xfa0740e88b51054f23051b151772a6cf,
'swt': 0x7a4a8ab9389c3abb3bbdc0a2359721c1,
'twt': 0x2e9087b02957f5c29d14a8fd492cbeb3,
'uwt': 0x9b5afdf3d47395c98015c8cae7241201,
'vwt': 0xa7946150114b20fc649ac0722b167b2b,
'wwt': 0xf6d90d9e7ecf357044dfc439ef0602b1,
'xwt': 0xe7cea04cf3a6e36310fb7264dff4f370,
'ywt': 0x86a0b85e4c1924b486cdbee60a1e416c,
'zwt': 0x605b2b8900a9eab7fbeceb20bd05bdcd,
'axt': 0x3474fa07b4b9328f9f5efaa11fa4b0bc,
'bxt': 0x50a71f6bdc092293a724944f19c65968,
'cxt': 0x1b4e19518f4680508e9cbe52f68142b9,
'dxt': 0xe294d5649f17f342c19a45322e363fd5,
'ext': 0xabf77184f55403d75b9d51d79162a7ca,
'fxt': 0xd1db0fb69ff0442f245f781a64644218,
'gxt': 0xe5a6f507538f093e8b48d258e54beae9,
'hxt': 0x8f730c864734fbb7d0dc821bd7b29610,
'ixt': 0xf31f340c5f33d433a63dfaf5d2b8d398,
'jxt': 0xa6fd6b44ad6c7ee54b01928943090e54,
'kxt': 0xd556b2870989378ad67245f5269cae84,
'lxt': 0x4a0495c5a28bec50db82b2cfb5552b43,
'mxt': 0x8d73ce3712b114a6ca411303e19a231f,
'nxt': 0x07635d95f92116adcf0e12fd96ffba82,
'oxt': 0xa1f7932887b1cd826defc7dabb669905,
'pxt': 0xdca1e04f33b05ad0314d7969fe66eaa0,
'qxt': 0x13cda85e8aa1f0bb6ca266b48f220da5,
'rxt': 0x258f3b37aa3c03c4cca3416b26a5267e,
'sxt': 0x7b94964c00d41926a1d1b5de3f0408bd,
'txt': 0xc7824f3d4d5f7b2f22d034758c1e9454,
'uxt': 0xf036382503c7542480841919d7f5d47d,
'vxt': 0x8d85452d88f97df04490cbbe4e765a8f,
'wxt': 0x31aa1b74de685d3e992b8b20b29277a6,
'xxt': 0x99b9199698e156b5718508f7b03f2681,
'yxt': 0x854d4094c8b5149568483c91cce753f5,
'zxt': 0xb8cd14afce21675f4432b9d2b3b8595d,
'ayt': 0x04303944fba5c762a719062b8b484550,
'byt': 0x4e41dbce1f409634d6f1fe845c477499,
'cyt': 0x9c9c9cc90ea8d068d24aa45b11423c51,
'dyt': 0xa363e54c35340a7e8715c7957313c6b8,
'eyt': 0xebf4c5c40d73f65fb5bf27e02d19f453,
'fyt': 0x86946648fb3158db2a7392b2037afd35,
'gyt': 0xcd365b5625f7fb5430d84065066aa58b,
'hyt': 0xa2fa10dcd29e45b9c9a8f5168c7cb1d9,
'iyt': 0x6c4b0d9d96b8cba9d5cc8ea2d8f85b84,
'jyt': 0x62978e90527e5bf1a2910ba747155b6a,
'kyt': 0xb662c2f6a114b00579e5d45df52726e2,
'lyt': 0xccdff8365b15485ac1947044666dd88a,
'myt': 0xd05f285ddc99f57480177b78a759aa6c,
'nyt': 0xbed05837f6bdb672d2b857b338a044e9,
'oyt': 0x4d79845122dd122e6d4506363f32f1d6,
'pyt': 0x353f6bd012e3598dfa12c7334b2a5e13,
'qyt': 0xa1314cac5bc90c57571aa88a49dcdeb2,
'ryt': 0xd11324339f91d770765044e18068f359,
'syt': 0xbe55869059f0856dc25eb767ee93439b,
'tyt': 0x70eaa4c4c54f602749276c75f50e2278,
'uyt': 0x355069779c3420831bd25514ad739ed6,
'vyt': 0x05e44b38eb3d73a6dfd7ad89d6149ab4,
'wyt': 0xaea45cda8380434d220ddf2b66078406,
'xyt': 0x669559915cee30287ab7fabb3d246fb0,
'yyt': 0x1b7adba5ef3a2bddeee1a5aee0f97a60,
'zyt': 0x2813faa8715ed7668c9d01eaa1668049,
'azt': 0x205a47b2f41db365f7fac871f78be6e5,
'bzt': 0xc0c0ebba166026998339052386f0a795,
'czt': 0x1b5891787bc89e661595913c2fa0d9dc,
'dzt': 0xeb95ebd1acae7f07f27e10163084b0d2,
'ezt': 0xaae72891b8ff504a9793e7d9b7b66737,
'fzt': 0x58342e2bf0ec17c35c01babe9eac212b,
'gzt': 0x0db08a2382dc53a2a6f989433c0518e8,
'hzt': 0x2fdfa95196f026b8965378bf9aa51dba,
'izt': 0x5e9b4a1632a317044c5070c32c160f89,
'jzt': 0xac6685693cc9294d29bd2674d0f45821,
'kzt': 0xd3aabbc8a7b68b359869d4c9df4d86e4,
'lzt': 0xf5b69da4b47c990caaadd0f2b0ef98d9,
'mzt': 0x82e82b4703aaafff131883279a11b265,
'nzt': 0x0b1fd71a2be96dd50a6f8daf707c3ac3,
'ozt': 0x043a06a4a9288284d5107a0aaae91839,
'pzt': 0x4cd738ebc0a1305998b9619ad36a68d8,
'qzt': 0x71317e3313a1e148fbb2f5102e5141b3,
'rzt': 0x2ef9f2623374e26446c02252619446e2,
'szt': 0xe60b0844ad2fa52ef02cbac51c445cf8,
'tzt': 0x7640a5382feb6a06faa330ad910e1222,
'uzt': 0x60c74c0268aa3fa250fbd061989d3542,
'vzt': 0xa698fc79b32ed3fd5c379d208af86238,
'wzt': 0x89a2d0ecba8b5fc5c7ee9367c42a8213,
'xzt': 0x50aacbbdb8f499b608ba912c5cac4b82,
'yzt': 0x784d1ad6abd892b07c80a605556ddd10,
'zzt': 0xc3386b46b8ea1c913218cf5c495c5b98,
'aau': 0xea2e5c30cfa4e8508e1439fc0159c986,
'bau': 0x5debc828f54260d0243115148649ca80,
'cau': 0x486ec17aef822a40aeb41f74a8b56ee4,
'dau': 0x3bf2893d7de64871d7d1f2e4d7017c2f,
'eau': 0xd7ebc8bdcc77816f7c12054d257ba82c,
'fau': 0xa84a996fbddd53f5fac65b17cc4eb77f,
'gau': 0x9284e30bfa7d58f2e157ef28d9c82253,
'hau': 0xa23ed18c6f9425dc306fc002e5c2046e,
'iau': 0xa2517ede2b3a3f531d2e02f7e708e8f1,
'jau': 0xb3f3d45ff24d51bc0688c70d430a4607,
'kau': 0xc4efdd2e1da74076e57f58f8d4b35667,
'lau': 0x6869ba1b3d33a374546fd83498c1548a,
'mau': 0xe3d0cd173a3342f1d2119cc5bce5d1d4,
'nau': 0x4d118fd4ce53d84b80a065ed1f020727,
'oau': 0xc681b3412b866621914f65ae9485caab,
'pau': 0x0ea58701b84295bdd11c5b05426c6c3f,
'qau': 0x754fd75ff1c08008c2dcadfc684ed044,
'rau': 0x5787de089122c2f70dccedcf50daeab9,
'sau': 0x2405c79d70f52098b0647f79e96616d8,
'tau': 0x4580c2740ab6d9222ef06d7c6865583e,
'uau': 0xeedf20a7d6fbf79f2f2f64f525f38bc1,
'vau': 0x900b7f7eea4859d9675db6c3dccbda19,
'wau': 0x565048e16b8c72dbbe81902e20f223d3,
'xau': 0x0411c78ace2b67bc443f8e4a16d4811e,
'yau': 0xe25d84524e150fbf30bb661de9768e82,
'zau': 0xde017c0b02a5afbe89f6757afe805934,
'abu': 0x34d71b97c471931334f385b4e7b7379c,
'bbu': 0x6d11291869bf393bf0f9f0326d55cb80,
'cbu': 0xd138070508b63f519aa554e5668dca97,
'dbu': 0xe68767ea79ef0c42d8c4653b39374eda,
'ebu': 0xb2c058befff605b2f7581ffad2d9a1f8,
'fbu': 0x295b4fe087323e5cc5e310e584dd0365,
'gbu': 0x83d706e26da9516517e06dc9a7316aa0,
'hbu': 0xec34e3ddb39fa86abf919bd677795429,
'ibu': 0xbd4c70d40f7fa5421cfeefbd66b7fff6,
'jbu': 0xa41c8884c6cad57f479f5d9f94c09e0f,
'kbu': 0xce03478d3fbadb890da997fdf58c5f7c,
'lbu': 0xae539005626c61629db198e4d324a722,
'mbu': 0x19135ac4d2cba76f6d1d0a2fd9abea9d,
'nbu': 0x1ea8d536bc5de1083de2db5041c61592,
'obu': 0x5d451c9b257133853756e4da029375ec,
'pbu': 0xd39164cb4be9a27d3a40ca9d9d46b2fd,
'qbu': 0x36946a75cc63bc77c5f15c564efe5828,
'rbu': 0x87ba7c90bbe16762e524a1b2f51f52ef,
'sbu': 0x7598f602f628456b034590c15cc7a3b4,
'tbu': 0xc43221b12ac4410fcc2c0b43630e03a8,
'ubu': 0x562bdb388c042b36a24d8c6572267da2,
'vbu': 0x8e8834199f10b50ec16675e7aebc6100,
'wbu': 0x9bd8fa9d39917912100ca2a69fb51a67,
'xbu': 0xbe4f6707552bdf234ac9dcee2cfc5b2b,
'ybu': 0xf002ebcc0256c90ab5c0f896285b61bf,
'zbu': 0xa73d4ade8d8c957ef45426e6ca0fe3ee,
'acu': 0x3457f04bb829d77657b1d92117774b27,
'bcu': 0xa67ca00169727490f6c225033469d1b9,
'ccu': 0x1e0178ad6c8b559bb7f054e98aaf97c0,
'dcu': 0x9f8cc62c3640bf6eb115b4c78bb22a3f,
'ecu': 0x203567c84e78a74b2544d99b37ed1af4,
'fcu': 0x5416014b83907c4544d85aa839c8fde6,
'gcu': 0xcfc9f3ba74e43d432443d374fb176175,
'hcu': 0x8970fdd332b5e345afa285f1723799d3,
'icu': 0xf8eaf860ef6bf14b6a52fdf35a5190fd,
'jcu': 0xd33d1a8f31a57273e179fc6387d6e6b8,
'kcu': 0x3e3719992817c8440403061120d2347f,
'lcu': 0x0f0e0e0751f5f4ba36f708de33b68930,
'mcu': 0x9727479252e200330c1e9cc9a3fea96e,
'ncu': 0x268fab97a775719b80cf160524b4e9ba,
'ocu': 0x61a53ef301fe5c76d8b3a4152e182b7d,
'pcu': 0x127ddf1f6cfc65b4e98463b8f76cf654,
'qcu': 0xffc5d930cd3e2e0f79456bda2c4c596f,
'rcu': 0xa492c3e144c08d87b42581da14f7d867,
'scu': 0x84923d2a7452a78149e0778628d88324,
'tcu': 0x5a759b1da6828086e69e8b88846923ea,
'ucu': 0x3bf642c0dcc3df2d2b99d97b1b712891,
'vcu': 0x32ac29b482232594e518f20318a7fc2e,
'wcu': 0x6b48764c6e3fedfadff3c738197bdcd6,
'xcu': 0xe02b2cbaf115b9a82db66abef5bfacf8,
'ycu': 0x4eadee40e87e2222c490c04e1c85b443,
'zcu': 0xd8dd8014b4c73718daa6057f45c67b5a,
'adu': 0x814b9c1a48f94893e1f2ca9f7b83c17f,
'bdu': 0x2c1ac245d9b01fc9c158d6d61d2e20f9,
'cdu': 0x0495faf87cf0ebc18906c9ec050118a7,
'ddu': 0xbae9a57b2ace3897255dcfeaa60a54ab,
'edu': 0x379ef4bd50c30e261ccfb18dfc626d9f,
'fdu': 0x08d2ab9dd750b5cef781281adab51924,
'gdu': 0x3502a250464373c0b78de4b3c441fe53,
'hdu': 0x182a6d87e49f31873c5b8caf5b47c7de,
'idu': 0xf83c19448b8ef1f7fb7e58ff00a32c2b,
'jdu': 0xd9f09649933699dd85124d3758a77a68,
'kdu': 0xe7665e261004740444f73f010e60d164,
'ldu': 0xef6786cc2032d63ce24643a04574e433,
'mdu': 0xdf4feaf53afd1dab6b8bd1f7b3222d10,
'ndu': 0x8b806e80b378f3b0492a8c60d0427215,
'odu': 0x8313dfd0ddc54337a89b0cb86ddbe40f,
'pdu': 0x5c37779ce1ce1c9caa0f26deb6c70b76,
'qdu': 0x16453a983173ec3de29f541ab41dfd9b,
'rdu': 0xf3eef6946eccb9ad621a2f09cdf1ae71,
'sdu': 0x9fc93e62a03f5a8fd44327d539d29789,
'tdu': 0x59a5dedb39a1c155c9dce2f24007cc81,
'udu': 0x421633686b4b1841e57b5f1d9c87adbb,
'vdu': 0x3ad40d0e20829b8d81210da63e1e7b2e,
'wdu': 0xa2b594b250c64d03048fc677a0be946d,
'xdu': 0xf436586dac8d18e7434313a4bab2ede2,
'ydu': 0x55b6c51781d388b4f241055532a17e35,
'zdu': 0xaf0f0774cc5714e8b8659f618fff3960,
'aeu': 0xa2456db3d1656958062259c8c1a52463,
'beu': 0x62d876324010551ac0b406566b32d095,
'ceu': 0xc303183db8ccee2fb0a2f5ca6c030f68,
'deu': 0x375dcc1c4dec844c30d1a9a33d6e04af,
'eeu': 0x8b6ba8a952208f5746276e64a0f1cb40,
'feu': 0xd3569f6eea42a4f2350a7d6e8fa6189a,
'geu': 0x61dfe5971515d0d8ba5f6c5f99e5700c,
'heu': 0x95969309d2507378043664b507e8c21c,
'ieu': 0x479eee596498610cf806964b8c50b98b,
'jeu': 0xdd969e893e201b9ef70ded634fd48c8c,
'keu': 0xef57b36bddcc35421153b0ba1bf1b593,
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'seu': 0xa780f0ea43ae90b597b386968e09ab04,
'teu': 0x15998edbe8cf43be77a7aa2db8cdeda3,
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'weu': 0x27ec30d1c27172b78cdfd39530307275,
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'cfu': 0xd4ced0deefa2251bc6bab293566736f1,
'dfu': 0xfa4f4d80f554c6845daf73511d75e6bc,
'efu': 0x12c80bb3e7a928c2f3001e03caff7d28,
'ffu': 0xb3c93523e67c5922652585c2166edc31,
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'hfu': 0xf0c4f96b3abfa68f068d4018bc904c26,
'ifu': 0x17ef11595f779ace4c4b01ec27316455,
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'lfu': 0xb4ff6887d89e02375637e35c6a802ba3,
'mfu': 0xb33cd1fa255070230fadffdb977dd7d3,
'nfu': 0x07aadf7b1abef17e4032ca9de8add2e2,
'ofu': 0x52a890324810091ccdc94d9ad6a89874,
'pfu': 0xe5535ffa6d47805192df1eec6e0eccd7,
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'rfu': 0xa813bd4d28e3089f5468debbcb0497b2,
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'tfu': 0x29290846f5bb994e438cac2d648698e7,
'ufu': 0x35d7b8fb41a11ecd2d70ef0bc2775245,
'vfu': 0x21daca994e15bff911cc74db7bf0c5f4,
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'agu': 0x2dc820d33443893318f00c9f57556905,
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'dgu': 0x9307450acfbd3c80f88e32763b250c73,
'egu': 0xd97761c7f1d27c938177408adea33b90,
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'hgu': 0x3aa5130683fb7cd7f6b1db5651ff0b8a,
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'jgu': 0x1b9ec00d3206ace84d1986d772a58059,
'kgu': 0xf5f4a2880ad8a0a79347de9c30abdb07,
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'mgu': 0x06dfd9b57f871430e0ca501d2993c814,
'ngu': 0x83017b96de3cdbbc6f4257d571c0f599,
'ogu': 0xec14142c8a78c3174a04830a7259b521,
'pgu': 0x2a4ea6b6e3128a3875b728f34a46fa30,
'qgu': 0x9931de916cf5054a53dd6462064b9f62,
'rgu': 0x97fe3a8f7976c24298127937d8af648d,
'sgu': 0x81df46f0d4596f54bb176b22590df465,
'tgu': 0x2d4b5f28c8fa3d637dfff2b1ebbf41b1,
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'wgu': 0x4c25a433c9341471ecf1c1c5fd91b2eb,
'xgu': 0x43a008171c3de746fde9c6e724ee1001,
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'zgu': 0x0a77473acab2c33d219a71154edf9b93,
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'bhu': 0x9e12688d3254c67824965e588824e5c8,
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'dhu': 0x5c2dbd00c067109753768c7a5277d37c,
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'ihu': 0xa35bca5ee62070a2cc6c4b4b6ab813e7,
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'khu': 0xf733284e7cb9c3226a4e300902bffd69,
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'mhu': 0x7ef6a2c2115b50a7863580acb0aca41a,
'nhu': 0x868d42cd0f3c7fcda7013a4e4982b880,
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'tiu': 0xa3f6727663890d7f56750079ad92548f,
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'ziu': 0xe265862766401dfc2f39778ecd6081de,
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'dju': 0x107f4cd038595bcf96e50101a52bd80c,
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'mju': 0x9e1e0d137c4dcec30e092c678a9f737c,
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'tju': 0xc19f03be7247230e8bbc053f6f762681,
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'tlu': 0x17d07200adbca9ac2b1af76365b8798f,
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'emu': 0x65d15fe9156f9c4bbffd98085992a44e,
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'tmu': 0x4007fb215264a9fd178c4302fdea9dcd,
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'xmu': 0x6e59dcba77efad289afd81cf36661f85,
'ymu': 0xb4e354345edc2828d3c368df9623883c,
'zmu': 0xcdfa15e8bf2213dd86b613ef9ac44975,
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'dnu': 0x46fe8d13955387d26d58c8df7077b436,
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'tnu': 0xe659dbbee3ec9ffd8a1b2f216fb9b415,
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'tou': 0xe382290672264cfe4daa0df317ca10c0,
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'wou': 0x87642b222bb50054c23c23f155815b2f,
'xou': 0xbe33701b98a196fd09f700ed5d5cdb3f,
'you': 0x639bae9ac6b3e1a84cebb7b403297b79,
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'apu': 0xb34daa835853f71d4d1bb8ba3c8dff8d,
'bpu': 0xc79e2d1c16c3af744685016d2ba721e3,
'cpu': 0xd9747e2da342bdb995f6389533ad1a3d,
'dpu': 0x225734fb10a045efb6e591ef55b939a7,
'epu': 0x2ee8a8c71ac28f239374fa441cf51875,
'fpu': 0x0075ab5617d7f0d01c017e92e8a46e22,
'gpu': 0x0aa0be2a866411d9ff03515227454947,
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'jpu': 0xfa431de24e4af63e92b560fbb4c99d34,
'kpu': 0x46a7033a2bc3074cbbb7bb76a2e2731f,
'lpu': 0xcd721f657be19f9caf05e0c6617ecdf2,
'mpu': 0x8a97a2266a2751fb4967e9ccc4f50157,
'npu': 0xeff0dd6626ffa2e3059e0becac0f879e,
'opu': 0x5985c96ec14b608ad0861b44d6fa93af,
'ppu': 0x4d36cf6ca8eee2b718d195690566a863,
'qpu': 0x44e6de41c702b1359a75919e98580d48,
'rpu': 0x90c80c40a182a47693b232b126507806,
'spu': 0xe77ac59d083c3122535d02ac0d6ae14f,
'tpu': 0x0dea849e9fe91b89b411440f4cc0ae0f,
'upu': 0x6b4f60efd4cedbb94f20043f936a3d97,
'vpu': 0xbc6e911fb2e345a0ffeba29f0f9c3290,
'wpu': 0xc664656535f7c4ff651010c896691074,
'xpu': 0x7d9bf46d1a069d1a3d07e4f538cd40bc,
'ypu': 0xac3b036e78c1aa90a7ad0e4789ede0bc,
'zpu': 0xd6700dff227a0ee802bb2dd957655199,
'aqu': 0x236e9069c47bd24e81d9e189bf43c8e9,
'bqu': 0xc4c8a99ab8ec09a139235a83d85f5ac1,
'cqu': 0x3edfcfdee824f52b75b9eb821563d950,
'dqu': 0xfeeff2bbf1d382d997e11f33f9ca25b0,
'equ': 0xb49d75de8b355a6d857fa2b655f35f7c,
'fqu': 0x0d023df03883583e9e2340191466f3e0,
'gqu': 0xd44215c9deef606807c0a9e6bbd3fa48,
'hqu': 0x861622ff1fda12d2024044796cce0226,
'iqu': 0x56d7f9ebb9e49c4e3a6499a87844fbc7,
'jqu': 0xc91ed5feae3521872defba5855e3f4c0,
'kqu': 0x761da09f15000934de953d4d190d1e90,
'lqu': 0x1f49ceedc90b467477a0b7e82770a5b1,
'mqu': 0xa21577f6c46b09adb01e71407d4a83a9,
'nqu': 0x5c9aa12422fde95f8be4875907c39453,
'oqu': 0x5945e3225fc843b76c5bdc40c866eeb1,
'pqu': 0x639fa7522d890b6e4a07bf6c1ea0df9f,
'qqu': 0xff573bb701dd71ecf091274e4cc3e415,
'rqu': 0xd22e2980d69a4f0038facdb1ea85638d,
'squ': 0xb8a656a1c7b91be7e82d42d9fa683d70,
'tqu': 0xcd123fb70cf802430c2157da9973514d,
'uqu': 0xe36f960b89dc29a7c711a477a3d6a73b,
'vqu': 0xdc6f631616ed5eea96af8bb46f16f271,
'wqu': 0x4203c17c7e911207c6ce3ae87ad26371,
'xqu': 0x2febbd99fb81bd2d693266268798fb16,
'yqu': 0x458bbf2f51894e95a92e9f737ba45048,
'zqu': 0x4e72d00b51fdfb093e581a7b167523de,
'aru': 0xe95f77c464f303a7a830b98c145a0711,
'bru': 0xf9dd4ecba5e25999ab63a9aa968c939d,
'cru': 0x9694716ae724b72b366b5adeaad3db71,
'dru': 0x28a0f3b13d9956c87668053c5f1f1cd8,
'eru': 0x914f3bd79426b4b2b90e7093ea07dcb3,
'fru': 0x8d276b234bb8ebe920aab27a756f1cd9,
'gru': 0x14c486a4f0894fb7437d405b730d9e5b,
'hru': 0x29fa3d9b0eccb85bde41910d4ead727a,
'iru': 0x52e60fcd94ecfb8cc5749909f2be6646,
'jru': 0x9eb57734eacaaed2b98f740963baccaa,
'kru': 0x31460057760e7b1aa8d384b8b6247193,
'lru': 0xdba3799464b52d8c7ce5446e998d2bd0,
'mru': 0xef516e0accc8fb34f78e88fda58cb054,
'nru': 0xf8332734a659f4938bf7aa23b535a45f,
'oru': 0x023f623a72ade7c7e004be7022b8749e,
'pru': 0x3a91997270269de6c5d31b38dfc7b75c,
'qru': 0x2071c534422bddbccc4e0b839e949a59,
'rru': 0x8680e920011cc424098d3a63cc5fe28a,
'sru': 0x8ddfc8b15cef0cc1e8a85243721b3f10,
'tru': 0xf8354de67d79a99e880000c5f3cae57d,
'uru': 0x4345ba9176bb651551250fc2385c7a8d,
'vru': 0xada0af7a5d4c8a805760e0bfdc715ab3,
'wru': 0x45af5d7604476ce01a80e8f9fe16ca2e,
'xru': 0x18e3afe68cb081b98982c9d17735ce5b,
'yru': 0x5630ffdf474c43978d764516eca96d0a,
'zru': 0x379115ba055fcccdb41ca116846b019d,
'asu': 0x102a6ed6587b5b8cb4ebbe972864690b,
'bsu': 0xd3cb6bf698afb8a53eb32ab40efd519a,
'csu': 0x8b56e81c6c8506ef166c3a3b1278287c,
'dsu': 0x4ac4921f4a8befb624715e22261abc73,
'esu': 0x8eb21c0833737d9b4ff70e17a2f4dd2c,
'fsu': 0x190aeb66f1328e93195a70e36f3431c5,
'gsu': 0xf67c73f47358bfedb2203e15649e865b,
'hsu': 0x726ee131c7efc6414a505bac8233806f,
'isu': 0xe0ae12e0d4949fa42439e78469e5f7ce,
'jsu': 0xdb5028f021fcad70f40ec4d3abcab1bc,
'ksu': 0x05bb00e51a0d4af49dc456b9bdf08c7e,
'lsu': 0x5a972c4722b097d69ffc5c7a3cd89e7c,
'msu': 0xa87ddbe9f55d9617142aed3d7b0f7bd6,
'nsu': 0xb4c90ed043af1a95460a1483dca85bd0,
'osu': 0xa0485de5d3213f4bc5c38e2d302bd169,
'psu': 0xdb98332ac69a5ddc4a496619f6c97b80,
'qsu': 0x7ac13c8bb1aac5f64fd0018383cd08f7,
'rsu': 0xdfdb73449fe2b136ac55f7341b197376,
'ssu': 0x3c14a20c7ca6776a1eec3dcf98c049e6,
'tsu': 0x52ebf4f9694107b25c3b56dc723c2df5,
'usu': 0xcc25dddbb8e44fbd804322fd50d2620f,
'vsu': 0xa6bb98395e1729e86a10c0b673e3f69a,
'wsu': 0x9d93bda7e012181b978d26faf4f04748,
'xsu': 0xe8a0bded2c467f4be8a408cab7153952,
'ysu': 0x2a6d47acaa6a67048660166c5b746279,
'zsu': 0xcc59c34e9e7ab58f05790e3d9c511a93,
'atu': 0x90b50d63a26b9688ed8c62e5882fa758,
'btu': 0xf079d3b2708028aa7f7c72ca4c3a5af5,
'ctu': 0xef70f70e8c5b05d33ae08c5c9d43dd02,
'dtu': 0x2ce66bc8fd710d2edbd9834236dd7083,
'etu': 0x30cb132e323a5b4ea923ae211aeabf33,
'ftu': 0x37a3947a51de04e73a436f849fc1edf8,
'gtu': 0x4c300fd33c9f214dfbeb0f4a3ba0b283,
'htu': 0xdc56164df23fdc45c764691a498672f5,
'itu': 0x6b79a69eb7d09788acb81710c0ac5ac7,
'jtu': 0x0c227e3c693347b1d4fc087be073284f,
'ktu': 0x2e18bc3df6490504a467d30c1541bdfb,
'ltu': 0xf979373634ee4fb95937b68742ff12b1,
'mtu': 0x661a504c6c4cd163fe4d67836577b926,
'ntu': 0x76f5e5a7d1d59eb488c949a16930d7c6,
'otu': 0xdd8e0f7c154754ca75130449c09850f2,
'ptu': 0x0ec243ed443b13edb53c78afc70dd1e7,
'qtu': 0xbc98737e251592628e37da4d2254e29b,
'rtu': 0x32130ddfee945c98e6869159b36a7b7c,
'stu': 0xbdd5af62d46f0222f61908a1cff92f16,
'ttu': 0x3620ecfcb3e8c2f963ee567d1d7555ce,
'utu': 0x037b2d56dd15afa9e43a0de04eaf2c85,
'vtu': 0xba2602bf7fd7b50d98443d622b97c97f,
'wtu': 0xb5eb898bf6c707fdb3166673c896f495,
'xtu': 0x6dd133e58f6647d7d576f082d716cc00,
'ytu': 0xa00fce33b6a9d13778a9f360cbb0fe10,
'ztu': 0x635d4ac55e937592abfefa391c4c167d,
'auu': 0xae92a43f23986a91079e731927ac03db,
'buu': 0x452ae46e84f26d6bc20c073458ecee1b,
'cuu': 0x0f7e3a6ef9cfb99caacc869abed4c6a4,
'duu': 0x946f1890dda2e1e3e807e0d12aaa1da1,
'euu': 0x0ef8dea03ac3f873c6efb29916b0e84d,
'fuu': 0x321e318b253b6ebd88750f1c50e6882a,
'guu': 0xd34ee26ccaa38b43019bc74cc0647626,
'huu': 0x6c21e540a289955ab18ca498ec5735b1,
'iuu': 0xd3ec665d18d43ff621f4eeed5f474acb,
'juu': 0x78cf7e048de48d11ee1444520e44bbf2,
'kuu': 0x82d2934b974f475760420ddc79d47eb2,
'luu': 0xb082b04c7a891a7f67d2400c2688fa06,
'muu': 0xbc10bac5767cf0be78c89e48bf4e2cb6,
'nuu': 0xfceee3403b3f47e643d0b27d13fa9591,
'ouu': 0x5c39abf98f6bf3ee0a85695ec3bce52d,
'puu': 0x3a2dd34a6b994c032201fcf325e5062b,
'quu': 0x2719e3e66fce440025aa0a9e5964daa6,
'ruu': 0xc974cb282325c51d0db5f07e31e2fe72,
'suu': 0xbe1210d8fc1cd60c79abe0b68a036660,
'tuu': 0xccf711d49fa4b9067e997fc35bf49c56,
'uuu': 0xc70fd4260c9eb90bc0ba9d047c068eb8,
'vuu': 0x4ea5679b5925e8f4cca916a35ada0176,
'wuu': 0x80c68767984f424905f8aef3a1ea0c2f,
'xuu': 0x365cc03bbbb728965946eb1228346c2c,
'yuu': 0xac065740bfb1a2339fecfec667c33de6,
'zuu': 0x28e1105612cbddf7becb1a56863b8e66,
'avu': 0x900ad1698886421654dfc380cc8f6c9a,
'bvu': 0xd14aebc66a3970174112f8315dae54b8,
'cvu': 0x68e8d338953224294f39f03fa1e98b0a,
'dvu': 0x209d7869b9d59dbf589654cc156fd711,
'evu': 0x1729c1b5b6b0d02352f2f77b5206eb79,
'fvu': 0xf181e5b4f9f4d33b565f1d9cba862230,
'gvu': 0x19a515c211ac512dfc2e9847b294acb5,
'hvu': 0x084cff4c4e5f95c47430d564de0dd118,
'ivu': 0xb953a0e38cdc66c6119ed3a7bb466427,
'jvu': 0xb3d558a76e8046fc0bf1ab7656bcbca4,
'kvu': 0x8fdbc593f4a4628ebf88903416fb7421,
'lvu': 0xed2d3dbaf1b386c494131aff3e6c5473,
'mvu': 0xf37068b13b672fa7e8cff0d70a57e789,
'nvu': 0x2b08b877cdeb5f4e52326a7ce2ff5f81,
'ovu': 0x42a20566ca105b6540e434f56d8793d4,
'pvu': 0x8a5d625a4184592eb090319376c7a29f,
'qvu': 0x8639b9efc2ae34395b82277ea53f0572,
'rvu': 0x869f5258b57e58bfdf77df0424ae4c1b,
'svu': 0x0b2d182efae23710a3f4f438e1744306,
'tvu': 0x2a80f3e2c44a617e971be2ab45b82192,
'uvu': 0x2f8f72e7037fef6bca87d58c8c756e19,
'vvu': 0xf3a27e5e622f3f1abb0ee3b25e3ab628,
'wvu': 0x315eeedce8b7747552509d3347a912da,
'xvu': 0xe45b070a18ded6eae2d022e9e18346ab,
'yvu': 0xc50c212d9d781261929fffe4ecd590c0,
'zvu': 0xc08b0a159a0a2a996df9552d60cf73e2,
'awu': 0xaa807c7f7b5864522861e9bc6c0d9eeb,
'bwu': 0xa6a9afcb221828bc54cdb023bcdf52b8,
'cwu': 0xe7e36e56c1533b42a4ceb17910564f75,
'dwu': 0x39c93328c5697b5a5d06a9a8302dae1c,
'ewu': 0x6351676416a157a7ba098aa0662d9496,
'fwu': 0xdb1e8f09f8227789b0693de8728603f4,
'gwu': 0x91b106a801d5172e3bd07f589ddbd5d9,
'hwu': 0x092dfa27f7c8e4c62f589ac0276423e4,
'iwu': 0xd6af8048c16c63c6f4b4dfe14541b19b,
'jwu': 0x2bd74077adb297b428aac96565b16ff5,
'kwu': 0xbd1519f4255813980a080b479a74947a,
'lwu': 0x07ef0e7d74ce96a39dca90f580d95ee1,
'mwu': 0x404858f155badabef5367dc5db710acc,
'nwu': 0xc97c4c229908409a76dbe97092b3c9bc,
'owu': 0x4516bfb26441a912f0a6c3834af2cf37,
'pwu': 0xb350798a23d7544eb353a6f8dca231c2,
'qwu': 0x3fa7f9c2f7f0044186032fd148fc558a,
'rwu': 0x9097ef8244b76ac77abac843fff29fa0,
'swu': 0xf836c3a69b195d3d314906cf6f05639d,
'twu': 0xdd1426f0c78d0c045e2e1c219b0274de,
'uwu': 0x174a3f4fa44c7bb22b3b6429cb4ea44c,
'vwu': 0x76c65f679576409724dbba48965ad9fc,
'wwu': 0x6a8e45824a2567a466e07c70285ce09d,
'xwu': 0x70c1767e65932d08a89bc3fbf346fd37,
'ywu': 0x873885c446cb58bbcc08c3d3b6af3c25,
'zwu': 0x61825a084ba8b28882eac66df0347170,
'axu': 0x2e12a29aba31455901efcaa74089c03e,
'bxu': 0x38315f4db78dc04d1002864801e3454e,
'cxu': 0x32cca9ae78b345a424c1554f81b9fa5b,
'dxu': 0x46701df6a6e81d0e5b3d5b83d4fdc371,
'exu': 0xca4ec8d189b15bda1b58dca05225b6f3,
'fxu': 0xb16fc7ee30a7aa3f5d904b2457e1023a,
'gxu': 0x701db9944dbef0644da035d813c36d95,
'hxu': 0x47bde65a0612d052fbf8eae1a0423e41,
'ixu': 0x15fe5440dd98b6f9d5ee9382e88fe5ae,
'jxu': 0x48aa69b0af95be96ee71cd0fc613bdc6,
'kxu': 0xa1858ed7482c13572b31452f55f647ff,
'lxu': 0xeeda5f276a5ff9297be96d919d0b3caf,
'mxu': 0xd18a20c8e16e5b889eed2cc142a67dba,
'nxu': 0xf391c31f8b964dacb77eaae32fa413d2,
'oxu': 0x0327e7ca8f48509670266dd6c2cd8aed,
'pxu': 0xe1dff15a930d43b131e921907cd54ed4,
'qxu': 0xa8419edda8ba9e2d88fbdb2c69e9bb69,
'rxu': 0xe02f2e9907f3ffe07bb3881dee8397d3,
'sxu': 0xe7c8c6eefc445f0e98be56db52f95457,
'txu': 0x71156d352b737970b7a771a04f6c2680,
'uxu': 0x6a10312fc647f56b298c83a428c1d03a,
'vxu': 0x1fdbab226ffa252e708a52832f5f02e4,
'wxu': 0xbd82c4d557f634b7401bcdbfeba70227,
'xxu': 0x31bcd4c330321bb2f2de93e6f1744d20,
'yxu': 0x4a60eeb31b165d9f2127b126fc0c6ccb,
'zxu': 0x8ec70e2e3ea3b07e87038ad0aeb8ee63,
'ayu': 0x29c65f781a1068a41f735e1b092546de,
'byu': 0x8bb6b8970b6e44a4838ddc1e269a388c,
'cyu': 0x4f5b858ccb24ecb9dd4e92f8f77a2fd0,
'dyu': 0xbccea1611c647307bea5f8259f0fbd2b,
'eyu': 0x8886e2abfa09410b98576e6f8ff1c4ee,
'fyu': 0xe632a7560d374c80ef34e0e8890dfc9e,
'gyu': 0x5aa0c8a0cc071752cb5b9989e6684355,
'hyu': 0xd3d76d7ca6a6fbfb22ad7574f065cacf,
'iyu': 0x488501e7f2f475d7b7befb77265ca0c8,
'jyu': 0x615a4515491fb1f860edcca25bf39a2c,
'kyu': 0x2b45dd79684b41a595b5543904f1574a,
'lyu': 0x8aa04834fe8682bbfc646b7c176a37e5,
'myu': 0xaac81b5c0cf7bf4b5842e3908a709502,
'nyu': 0xc5aa99c68366bdc1dab51099a785998c,
'oyu': 0x04c2b503cc191be41c93b06a9fd088a2,
'pyu': 0x796bb5ec3e7b8becfabe48c1923c5b07,
'qyu': 0x522fd20bb7451a705a380b1c3baa42a1,
'ryu': 0xd4cfab1b518d245bc1fc8db52b6d8ddc,
'syu': 0xc0a8ce9d3994d1dfe091ace6206e9e90,
'tyu': 0xaf27bab84283536c346b97ced4bc5c58,
'uyu': 0x544f77a211b7c8f6343e821067c9317d,
'vyu': 0x1a212dcb4b576d9955f1e6bedf99c250,
'wyu': 0xe1411a9602d4571d98b1f85aeb3a3e75,
'xyu': 0x35f5dba43b471cd2ad28fd68e4825e2b,
'yyu': 0xf1d12a2bf3667a8bf984a183fe65c7d7,
'zyu': 0x20c15b9494dc448585036556a819b5e7,
'azu': 0x692842daf7ed9c5e4413b083f3a1bfc5,
'bzu': 0x79ab86229ae44f3e10d260742814a385,
'czu': 0xb560adc2e2f8bff11e62428576eac8e9,
'dzu': 0x67e997e9b968cdbb986aaf4059940b75,
'ezu': 0xe28801fda7ac1c80b32b4c9d3df3d250,
'fzu': 0x2e3a47ce3385e3104fb1855d87b00584,
'gzu': 0x2ce7800c018248ef0ffb08dfca9a8617,
'hzu': 0xb9edfda0637b7e4046867dadbeaa5336,
'izu': 0x8dfc7ab6ea4f38aa91d69cef5f02ca0e,
'jzu': 0x68a1c96f37d5cdb820b4aa8c862d7729,
'kzu': 0x195bc3751eef941b5acc50304d9d151b,
'lzu': 0x9d09263a6cdc139a2c86b4262939ba40,
'mzu': 0x3646147ff6369ba7cf49a64caf59304b,
'nzu': 0x5c8cdd8bdc302d0fd11a236822e16082,
'ozu': 0xd99065932d8321abf4e0328b955c91d8,
'pzu': 0x3bf8b1beeeb26c995dfe9fefd9ffa073,
'qzu': 0x6f0d4105fe7981219307643cfebb893e,
'rzu': 0x9fac6de9aed068e91fd946d542809aea,
'szu': 0xdb62b7383f3ae98726e9d17f5c2f1650,
'tzu': 0xd95e4410070c4817c026259e6d1d86dc,
'uzu': 0xaba76bf45de3cc848ee68a69d1b5b5d4,
'vzu': 0x5a39c7d82b14449a0e64d7232d073877,
'wzu': 0x7dabb06815458dda514529e500961a16,
'xzu': 0xcd7720b4369ee699e68eee1ae52fbc9c,
'yzu': 0x194892632f5630567da615a6fdb9dc03,
'zzu': 0x176ae987396327f628c05c2cbc0e79eb,
'aav': 0x370af5302c6a2e643cf2d172adcc9e38,
'bav': 0x4e1c42a503fe15b6ced230aee6abf0d8,
'cav': 0xa292bf94dcf09dd8d19021758704fd75,
'dav': 0x676ac6f0f8dc64239691d8052409a54c,
'eav': 0x6c4663aecfaa6122bfb80d2dbf2b7f87,
'fav': 0xebf7e62abaa2db8e332e3e4662658308,
'gav': 0xa1a1258234836336f4e7006b92fa5577,
'hav': 0xe6bbf8106395d2ae3f6304dbc3ebe161,
'iav': 0xd12ac2b6f070ac1a7ad23ac7c814a027,
'jav': 0x2181d277b2d06e83699912fd8b56f061,
'kav': 0x686569379343cd3df1eabd9b967a14b2,
'lav': 0xbe3eb647beebb8602b5f93a7030bf591,
'mav': 0x9efd395356ee9d52f66fd6022510f246,
'nav': 0xd72e5ee9b367833956ed9f88a960c686,
'oav': 0xdf12f19ad0c81375f3efd7a3f58f1f6b,
'pav': 0xb0bef02616cfef7b5d16896a04be26b1,
'qav': 0xb0a9fe30fd0f43c899c4db07b7d23d31,
'rav': 0xc555a8cdf623ff526c8cebe9fdf8cd9d,
'sav': 0xcb20cb3deebe08865c976143b319efc5,
'tav': 0x670615d7175935a9b7ddd3c7c22cabfb,
'uav': 0x30484b94ebd1fac41701ebeb678f4e84,
'vav': 0xc96c080c0a3e230168b59267dd7cd706,
'wav': 0x4bda4933646d3ce6ceedcdb1e5f982d8,
'xav': 0x7b5fbb2361fb6d1465c8df5757e1f53c,
'yav': 0xfd4bbd923acc240034678573938b01c0,
'zav': 0x1066bd423eaa2b148af192dc18c3f279,
'abv': 0xeec582628e4be2232fe88127090e5da2,
'bbv': 0x029c2aa336dcc9c402e693086e5fb0ca,
'cbv': 0x600f745fb86661835acbb7244fbe3e53,
'dbv': 0xd308cbfce7e270e5b41a84d84385645f,
'ebv': 0x1a38c728407ff141c6b51fc174759ed4,
'fbv': 0x664aceb04052c09fcd0bdc07a57b8157,
'gbv': 0x9f80ebe06011b37da7be3f25e155dd6e,
'hbv': 0xbf6d0451d40f1c470e6d603b5c2ad8cb,
'ibv': 0x49f2da76a772defd9c5521ff30f4efb1,
'jbv': 0xa8adbf2aaf0ea014b4a788d0138fc505,
'kbv': 0x93f905480524e6c252184e495dc49254,
'lbv': 0xb90b4946e5b5ff2f14bf711eda8fde91,
'mbv': 0xc6d51a350fa3186a41d8de832eaebacd,
'nbv': 0x0fde9b5d39abc84397749bc7532e2ae3,
'obv': 0x28c80e9e3e3b2a4c675f633b683f43ac,
'pbv': 0xb54891ba951af0fbf7db1ce217a8e802,
'qbv': 0x04e55da750c30f327b0b1f6cf29e623e,
'rbv': 0x89b90bb694186e2889ec6bc893627a51,
'sbv': 0x8ed289bb52b64ad907b14195d61689dc,
'tbv': 0x8c390a7baf620eadffee48cf7ee61aba,
'ubv': 0x917e130384de781771f890c23c5d37b3,
'vbv': 0xbdef841028db3b57a722a356fea4d7b0,
'wbv': 0x060f99a12520865294a23613d4a6ba2e,
'xbv': 0x23104af3b655c3f68ba7d66ac977960b,
'ybv': 0xc5c1a56cf83edaf02f1501e4a9a4c6b4,
'zbv': 0x9932936338bbd8d75e5a7cd78fa2035b,
'acv': 0x5dc343db9ca692e7ebe70b20bed22833,
'bcv': 0xaab26cd1276d7ffdd5066e1b3010a183,
'ccv': 0xe97752fff31c71ec88a0e6ca761fa623,
'dcv': 0x9475f02f2512f5a191583404c6531161,
'ecv': 0x4676d869f88a0b183a866f575201f93d,
'fcv': 0xa0564436e2213b96133f914195f9943e,
'gcv': 0x501df69458b6d7d2ad8cc8e13e84bc56,
'hcv': 0xc7726f4cb163a448790c88eb0483dcb3,
'icv': 0xe6116ca0b5600da29395df42d04a71ec,
'jcv': 0x19fd6903cc75cb303d1d95a49619ada6,
'kcv': 0x1dd83a36e51d9afee8e869ffb218b92a,
'lcv': 0x23701d6633e25bc085aec39f97b48941,
'mcv': 0x1c67ffb497a141188315526c9259b1b0,
'ncv': 0x76c817fde5a6d6678bb3205fe9375444,
'ocv': 0x021549912df8cbbaba93ae8941e09fb7,
'pcv': 0x62198d22d71c6bd732926546095b0459,
'qcv': 0xdd84f8c3b293ff0fbe99bde56bbbb88e,
'rcv': 0x18602198230612d60e163e023c2411f3,
'scv': 0x4ad4f418c4318efd7bd7acf71ea4d054,
'tcv': 0xbfc51774cee00161be2bf890e3252271,
'ucv': 0x98ed947639ae5b855368319a083c2f70,
'vcv': 0x631996e5a547675f6a95e8b8d62479c4,
'wcv': 0x13d4bbc545a52d95bf43911f4100ac1a,
'xcv': 0x146b65fd2004858b1c615bc8cf8b8a5b,
'ycv': 0x521dc5dd1448ed4da9305d0c33f44679,
'zcv': 0xa854ff8ad64880b99192ff6417a669b5,
'adv': 0x4acedbc1e89475eeeabf43c3088ed4a0,
'bdv': 0x8d4a7faa1115472e03eec4eda398e604,
'cdv': 0x1160c23e9274116850c7f0a8d6c8a3d9,
'ddv': 0x5d963a7bfdc032af4852f72f57455cf9,
'edv': 0xcb50179ebd60c94a29770c652a848765,
'fdv': 0x66b61db15ea325243be69c9a139dedb7,
'gdv': 0x3a3fee1a77df5f956b34fcb359734616,
'hdv': 0x8f0bf49bd67ec8974294b56c2d6348cb,
'idv': 0xee0cf53dfd7c7fbb5322b2f9bf9726b2,
'jdv': 0x8613a32882541c4efd9fd2cf8081ae69,
'kdv': 0x9fae63de1dadbc0b2543222235efa4d1,
'ldv': 0xe44c18bac95f541a74dce84b7373d8cb,
'mdv': 0xa4a4b90c8383284b792283ac658c1c05,
'ndv': 0x729d3519d2a190c1c26f88a2d11edad1,
'odv': 0x506278b964ee00f975c8f704cd16b576,
'pdv': 0xedd3c66af5af3d2d6ca87efa36cda4e8,
'qdv': 0x57ee9bd4e942a92c7e01408be8ccc002,
'rdv': 0xfb1858562c9068403739106aa11ffe0f,
'sdv': 0x7e6f8380a1f1a94a9a520856707ff004,
'tdv': 0x100d59fe9778bf05a3072091f553b63f,
'udv': 0x440c31146f26cc9fe27cb61d688c2557,
'vdv': 0x34f5159100913af62e54704b8f3dd1a9,
'wdv': 0x6372974317421ca09b6d8a8f84f8ed83,
'xdv': 0xa314441fe8ea5f3b0d360afec4c6d235,
'ydv': 0x21db280cac374b8908af584a776df435,
'zdv': 0x2e2ee4035cbbd976e94261b6c6c1f70b,
'aev': 0xd810e525444975748d8eedc09cee31a1,
'bev': 0xfca84d592e2e7655a9dc7afd28d4fbae,
'cev': 0x1debd8d8147aa4a5021e823a7799fc65,
'dev': 0xe77989ed21758e78331b20e477fc5582,
'eev': 0x59384aafe22f7b79dd215be59d6e43e4,
'fev': 0xc617f4d32274be227085738537d3c224,
'gev': 0x0ceb697eaa18962b40f8da9a5aa63496,
'hev': 0x66d8898d3c49ff827a02559e6f97db8d,
'iev': 0x3f7e667a94c7434daa21a029a9e45969,
'jev': 0x27884368ddc7ad67547f071ce8f4ec9e,
'kev': 0x3b812175a3bbca97b079857d20ee12f1,
'lev': 0x86af1c2fd820797c1b2b39c09ade58b6,
'mev': 0x3671768d0593382cd6cf23552e08db2d,
'nev': 0xe61943d0eab5c5df9e8d39990808b4b2,
'oev': 0xe1bfba10fdc04b20d6b9f3fbf35b7b3a,
'pev': 0xc2ab82e8b3db202e4e432888143fce5c,
'qev': 0x27d9494488ee52f9fdde184a71911b2c,
'rev': 0x48cd7517d21176f980daa5502d9efb31,
'sev': 0x74ae88178f23d39281113deece3efa90,
'tev': 0x3830bf15a3270274304b07e1c301c7b3,
'uev': 0xdc3c326ab27cc51bdef7d589f5693049,
'vev': 0xc78a4b0b1de166d645a0f319a5183c65,
'wev': 0x3754c3ba0a7e1f887f5ae6303b906a50,
'xev': 0x5b0829d687e51dfd2f2531437beba60b,
'yev': 0xac217442d817a1e186cef69bd3557f6c,
'zev': 0xc2a44694de97346149332b1b0392c892,
'afv': 0x9e9616ef0ad7846e6f30f9db46e299fe,
'bfv': 0x9c1217c663d36f77e1984c43328d037c,
'cfv': 0xaeb3d41cb49238fb13d4eab3473cb9a8,
'dfv': 0x357be52f82b87b4b58449cfe591b4ae0,
'efv': 0xd7abd5bde78935d4ef542ed2c873fd00,
'ffv': 0x06d2cf7ffea5b2a6d37031d3492397b5,
'gfv': 0x608afa65817453c3ae7a69c7850e3861,
'hfv': 0xf2a7dd937d235385c8b2400130786d5a,
'ifv': 0xd81ee83ae20008e6c9662d9d77a39d40,
'jfv': 0x649d90a815a30ec46e1a1f3e47cbce64,
'kfv': 0x300f0b37013017c5ad1015e83dd6e70d,
'lfv': 0xddbadf7e6e8c7bb55b0d6f6b9c605895,
'mfv': 0xa76186c32df6a14e3976fe459fa1fcbf,
'nfv': 0x0ca857a5cd5311cc6654f29fad074ca4,
'ofv': 0x542faf3691703aad6a16e95b711ff809,
'pfv': 0xfee45cff2992d9b2a38d7e45f50e300f,
'qfv': 0x33abe4052c6ed7d258dd8a554139ecef,
'rfv': 0x116e055b63d8698142614628d179f5f9,
'sfv': 0xa8d50e2e1c81bf9b4ae217bde15ba733,
'tfv': 0xd5e1d18de873cd777433419cc3125b13,
'ufv': 0xf7953918f62680912cd9c3b034df887b,
'vfv': 0x8aeeb1175ab5ff245dae3ff5690e26e8,
'wfv': 0xbaae6caa928772161016b8d1c1b9bce3,
'xfv': 0x7b20cfa5537629168de26d11f330b702,
'yfv': 0x54453b56925b30aa95fe10992a444ab3,
'zfv': 0xd01cda0c491760ddfd5ad5050733c3d3,
'agv': 0x4e7a17a46bbf09a94af971efe37a8340,
'bgv': 0x2e222cfba36e832597112846699e7a18,
'cgv': 0x8351f8765ec782ce42869889fca6ba49,
'dgv': 0x13a9e350f8777af120c3690c6aeff204,
'egv': 0x2869f629292536d4891855f6929b3656,
'fgv': 0x8a3e27d45bcfdce996d9c672aee85bcd,
'ggv': 0x93a91eedbde2fd32bce21aef42e6f3b0,
'hgv': 0x814b9c2ee0ac2ee0612dd11ca3840240,
'igv': 0xaac37832ca4eb603a9d8a130c5148a82,
'jgv': 0x5835aa9a4d6cdc300236c93cf23e86e2,
'kgv': 0x7878d315b7a0c54223bd407e2b529b9c,
'lgv': 0x5464c493cde33679ea59ab286060d8b3,
'mgv': 0xf97a17498298cbac888ec45f0bda8359,
'ngv': 0x4907e648aa72b65c6c4da9a4083e246f,
'ogv': 0x0d4bac4f9bfdad9a2cc9bad9d2eadfd1,
'pgv': 0x87837d8cb0130f17a5435fa8eb32361e,
'qgv': 0xcbbce8168c468e98b9cae8606c0e040b,
'rgv': 0xea740752359bad331daf44a49e1f2576,
'sgv': 0x4278935350235a142ec466f8525f84c2,
'tgv': 0xe375b5ffec26dd1a6b55fbfc2c00546c,
'ugv': 0x98037e34712702eabdb01f02090f0285,
'vgv': 0xf1a74a2f3a1616710d7177d721ecfb0c,
'wgv': 0xf1dd5d424b4cb3b99b426eb71b995348,
'xgv': 0x72a780f081b236c159ac3d6090dfbffe,
'ygv': 0xa032324c1fec474de5c10cc8e45a34cb,
'zgv': 0x6098b7056dc8367ac0131cb6a8070dcd,
'ahv': 0xb2089cddfd024804ad7c6164403a3a49,
'bhv': 0x8d539a225dd0ea051fa0b0c3a33d24a9,
'chv': 0x422072369359d3bf7dbe00c5a92d5291,
'dhv': 0xf20e0696ef3a53dc94d76a7f9582322a,
'ehv': 0x0e5afc246320073ac9490e3e0392e9c4,
'fhv': 0xb84cf344e7c5172a3d1768c7d8a36cac,
'ghv': 0xc5adefdfa9bdb82e85b9eff589afb707,
'hhv': 0x1cf3975580316c4638ebaf52c4bd468e,
'ihv': 0x96c1784071eaca8269aed77c8eaac8bd,
'jhv': 0x18f9b0d20de2f0bed753eece09150292,
'khv': 0x61a87d479e4e0e471e85226810324513,
'lhv': 0x87f48083de66842a12bd77128f46ce5d,
'mhv': 0x11bf590f6bc4818da23b8565c278f2bd,
'nhv': 0x1212bfb601fcf8e11b197cea2f0f81d4,
'ohv': 0xb15a5c88c144641d9a35ffc8b1778dca,
'phv': 0xeb1068c31179a9f72ba22e4af5e02249,
'qhv': 0x6756c62ead972657966c5b7cdd73f266,
'rhv': 0x1f617b6a211b33a202470c8d0636b666,
'shv': 0x85e074b6e6a348c07cd5a5dd3a28c7be,
'thv': 0xe145fa575a279ff767b1010e2adade85,
'uhv': 0xdaacbd62e9467b71140b26fa6cc31704,
'vhv': 0x01275c8d0794e788a1b9d966a88f6b41,
'whv': 0x9032e2e05aaad3de6ac51d59568f819e,
'xhv': 0x9a4602883c2c6180c3ff9a2afc76060d,
'yhv': 0xe62d4df40d1c5020013a670a7166246b,
'zhv': 0xc05df2f2ab047ff3cd22676d1c0340c4,
'aiv': 0xfce9ab2ca76a6b6a43fe61ff8b6250c8,
'biv': 0x44505f892b1d9b3ef277f3814eaf2355,
'civ': 0x65f0a1f5a2e4ed1b1276dd03aa618e74,
'div': 0x38696558dc98494c08d951c052900a2a,
'eiv': 0x5ecdf97a006db984865ef2799b8dc3ed,
'fiv': 0x3926d53baa0b16bcb755c0dba7854720,
'giv': 0xdde76bd39bcd27bc8c3d0e60a79cd100,
'hiv': 0x32ab39bcfd7517b22e842c42c074d897,
'iiv': 0xe693eac1d8301b89ef4043253decbc46,
'jiv': 0x898c2bfbd94a26c251b9948c1c2183d6,
'kiv': 0x5c1ed888957b0ddc9c161d98b35b8224,
'liv': 0x8d2182a7c1ba1205b94af8e273d0798b,
'miv': 0xa0d93b018346b028076c31bdb022ad82,
'niv': 0xd5d32ee2a54924d048b60d5a92702141,
'oiv': 0xa36a01229feb7dce0be9ee4241def9cb,
'piv': 0x155815fa8fdb4e3326e55f81ab4a3f5a,
'qiv': 0x7146d90d3e3a31ad7a4b6de49a2dbdd3,
'riv': 0xba62a8a95a8856efde735108a634a574,
'siv': 0x7b68742c36b75259702f1d732b528d2b,
'tiv': 0xae85c3bb143330c15b92d9212091511c,
'uiv': 0x05c34cd1f38531ea40184fb5f4b216d3,
'viv': 0x3b6fd1b3ca4936df4452f53f55f7959c,
'wiv': 0x6026848f149d0669a0715642d25958d4,
'xiv': 0x68cfb3fc398195d0127375545ee99f11,
'yiv': 0x45073a6fde24e0948f2d5cb6317b7c5f,
'ziv': 0xb3a186d2049e264976f85ab40b463732,
'ajv': 0xfd8ca743ed4abc6e6aaaa4622772fe96,
'bjv': 0x7032ba31640348d2bcea0696935cc6af,
'cjv': 0x7922f5684c6ea036d0ee19fd0252d574,
'djv': 0xe30eda2b100ff52738da0a7c12815196,
'ejv': 0xb324daf2bef15dc2a02ee6d61817f076,
'fjv': 0x859db440eae56c09f831880637885e04,
'gjv': 0x9298c17c69f2017aff3b7663cf3920ae,
'hjv': 0x22bd705d62805ab9c1b41e4293e9911c,
'ijv': 0x80122ff6cb228f9b9126c96c391d1f48,
'jjv': 0xc9625afc26eba8b8ce93351602861989,
'kjv': 0x441d215b24a7d1dc87d6df98f90e4ef5,
'ljv': 0xe567c9eb99c04906d2406e4c5972af6c,
'mjv': 0x2c44491c3dafd1eb2311290faf1c63e2,
'njv': 0xb8401c1f7cfe2eac0e07caa687694f04,
'ojv': 0x6a5af66b5f4d4761ca0294d46fcb028e,
'pjv': 0xb607db01b11ee558fda6f0291ca60d2e,
'qjv': 0x2d19ffdffef2b2636d1add252a155f32,
'rjv': 0x05d8404bc2aa23e020538da0857e0613,
'sjv': 0x0a1297ef10116118bf670f22b0965594,
'tjv': 0x7973ebfb48205c895ff389405967d38c,
'ujv': 0x09c6eea2e068ed8846e6763e5c09e3c0,
'vjv': 0x52854a70da878c1af085adcc2ac04898,
'wjv': 0xf2d0ab8abd401b9d6e25df76dcca3aca,
'xjv': 0x5c488b1518246ed9109ccd2cf8b3ead7,
'yjv': 0x59908c8feded37d422322ebfe683cbb8,
'zjv': 0xe1af56433a5203a21daf00b6244d9614,
'akv': 0xca2681520e896ae8e7d3cf3071150ddb,
'bkv': 0xf21e6757345d1c623792dd32fef34742,
'ckv': 0x46d27e1d5289573b0b1a2d34a4e6bb01,
'dkv': 0x6aa7b1e57bed59aa20fd986caf3aeb6b,
'ekv': 0xf6e0ab8a7b64610af6338ab4a0532e3e,
'fkv': 0x8df85e897b01b1313642b8047253767f,
'gkv': 0x3e43ec85c9b1d760f7ee4ef388843c94,
'hkv': 0x33ff3fa4744db564807b99dbc4a3d012,
'ikv': 0x35f125085639e2c0ae894c046e4179fb,
'jkv': 0x30f8fb990cf3dab46e60785c2973d8ed,
'kkv': 0x385d6b17bd0555a2a36b01865e1b7017,
'lkv': 0x3daa75544cb7c04d76fdc09cb5f69c1f,
'mkv': 0x8a122aef5f7fc4b4154b9127cb39ec14,
'nkv': 0x4d879d77cec6dcfe5b3d396b019b73d4,
'okv': 0x9977b996e87bf4332e5ab80dc3643f52,
'pkv': 0xa3c12c4a9e6fa907690e277d057697d0,
'qkv': 0x8aab0601021012d54aa142ea254898f6,
'rkv': 0xd2ca3d881d2c38aff4a947bed461409d,
'skv': 0xf6ca0cbff053677183a9aeeed858b475,
'tkv': 0x695083663ff518b375541c42e2918ee0,
'ukv': 0x192062d31fa8e480f6a578401bf3b0a9,
'vkv': 0x899e4b0a64e028abd3a27d8dcaecbb8f,
'wkv': 0xe2175045e8f872641f8375111061abca,
'xkv': 0xc1db068d73e7b16ee2e76817f43a757a,
'ykv': 0x924c0cc7348ce3acebdcc8a3e4dc4253,
'zkv': 0x4d60993b286b00ebf403004a82407414,
'alv': 0x985992a229efeb82cbac3990f237194f,
'blv': 0x3692c74a6ad64ac04f0f53b92894b59c,
'clv': 0x806deb5a285e769a9471fa8e73393eab,
'dlv': 0x738d3706ec0fa1f9b29d702b33a8c13d,
'elv': 0x40ad0496f6ff64221c805d50992bbf8a,
'flv': 0xa7bb76826558fbee47b11103c0fcd35c,
'glv': 0x46a51499e33a96e66e31a2b45b99c43a,
'hlv': 0xb2d7e18f1245b0c2036c7e206cabf124,
'ilv': 0x7fb2b8a373c324ac2ec2add97a92bcf1,
'jlv': 0x74a4d406ba3cb377c73cafaf2b38864b,
'klv': 0x70978e2cad3e164ed4e873c6762789ae,
'llv': 0xa1cbd0e8d2357a66243fe06e9c4e392f,
'mlv': 0x688bc81e3911a4c4d1723b10f8e0703d,
'nlv': 0x2d4b22c642b3eaffed7f0badf5939cf6,
'olv': 0x6bfd6f7abb115fbcc9ecb4c732158730,
'plv': 0x09ea8e8d8f29b176bc1842100d5d9f57,
'qlv': 0xcd793c2790f33b31ea1356374455c625,
'rlv': 0xa82a2869905762703e2a5a0049837a8c,
'slv': 0x06a9ad3bb6121f438d91f827a3ac1f90,
'tlv': 0xff5911dec548243b4df2a6f299d45939,
'ulv': 0x736ce7333896aa8dd99135380bee62ea,
'vlv': 0x5e4961ceedde07d6071ac2ba16d26419,
'wlv': 0x3a1042b324281476d6e9d98e6aa0b6ef,
'xlv': 0x97f4e5467ab13a3866b90c58e0fd8f5a,
'ylv': 0x8a12b253efafa3875621d0981881fca8,
'zlv': 0x71887cc0ace49c0fe1ff82c8cc1d0045,
'amv': 0x433bdafd135d0f4014bb258dadadc570,
'bmv': 0xa7d944aa0bfd1e5c39a6a8c67171c39c,
'cmv': 0x8ff861424673afa182b5d000fe1555be,
'dmv': 0x48562433ea508fb417158cee45759d12,
'emv': 0xc0a73c056b1b098ffa56cc53aeb96cdc,
'fmv': 0xecc7a94d2f92d75b162ffe0c4c62e197,
'gmv': 0xa0889b54a5816dbbc17e5f20c4729169,
'hmv': 0xd1b662f9ec3fddf1607dc797ffdbd07b,
'imv': 0x7444f935466a360e525ebfe798971f75,
'jmv': 0x5778e2726b11b159c5a88f65afcfb4c0,
'kmv': 0x39c1915b03acef83d00e7bcd4d8bc117,
'lmv': 0xb8b6a325acb95ffbe3c72c786b90ccf8,
'mmv': 0x0ff4646677d8611a6bf1270e4cc72615,
'nmv': 0xf47424e7cef19b02e47a8fa29c87ec7e,
'omv': 0x252debe03bba4ee71a08997bb8d2cd42,
'pmv': 0xd0e3bc6886f20ddbf4420ab17a0ec357,
'qmv': 0x46baf27cf4d1864ad30872bf9202f2b4,
'rmv': 0x9cd31366e088329d33d1351866165252,
'smv': 0xbea71c4f97b3dd65efd3ee696adfeda3,
'tmv': 0xe967d6b37c5113dc66170963fe7e54f0,
'umv': 0xef860a244eaa21c3b6b0caf576009daa,
'vmv': 0x6d0965c8490bd4000e63bf0b78eec4d8,
'wmv': 0x27a58e77af88013192d4701019bbc9d9,
'xmv': 0xe78e0ff88f3e90f2cae3f73a277eee6f,
'ymv': 0x0c922cff6d5ba7173f99c54eea4d159f,
'zmv': 0x924de29f6147cd6e154f9b5ac24653a6,
'anv': 0xdf67ac282cc10d9bd080453af9747785,
'bnv': 0x11714ee92eaf3956cd5e460e181f8b52,
'cnv': 0x7a2c43149ca6af7e99acc82fd6ef73c6,
'dnv': 0x72b53bbc83fa76a5be310b77a80f19f0,
'env': 0xff035a1dd7655da15295fa5fa89362a7,
'fnv': 0xd5f51a6b3d05a2651e100f6a985ae930,
'gnv': 0x5b8598bed42b271cb8ec62c4bdd4f3af,
'hnv': 0x7a4e104c280234ea3b98bec792aa06a8,
'inv': 0x545f7f577c93318b34476e9999931731,
'jnv': 0x2a75079a0a1db8cc7e75b5b5d95fa371,
'knv': 0x7d613c196198ffcd9319be9b582f1535,
'lnv': 0xfc8b67ee50335a2f65e8ad5d3930a0fd,
'mnv': 0xd446f531b34ab8b4feb72d6ad76a3d06,
'nnv': 0x7381b0ba2fc86bd89164f623813da61b,
'onv': 0xea794e3c2c81af0b548dab1bb525233e,
'pnv': 0x4ea16acee0908d1f3554a179c3758edb,
'qnv': 0xd9298a6d4eba41ef98940a1442a5e61d,
'rnv': 0xc96230ebc85cf4154b6809e1898060e7,
'snv': 0xf357f93ce27f2d59d30fd2e745715c3d,
'tnv': 0x7a5ec5507d6a98ed81d266ffaf898e69,
'unv': 0xda1d0ab163310bbc0a98cccb65ad4ac1,
'vnv': 0xee37cb596f23673eeb864dd66ba42d7b,
'wnv': 0xf60bf3f0a455d5ca5389aac579b1b640,
'xnv': 0xd51d874163c467815376756e26123f98,
'ynv': 0x8c94bbf92d2e2775683d0359ddbd7d08,
'znv': 0x33411a67a7cbec11b637a9e5a47ec6a8,
'aov': 0xadb866419ba0cfac94d323aef20cb30b,
'bov': 0x1de152bc6668cb170b2de6fa12794e12,
'cov': 0x0b1b986bb265e86a359376d3f9ce8f22,
'dov': 0xe445465dea6f975a8a7315f7f3a52539,
'eov': 0x827243b999b277bc10937e4b7055c54a,
'fov': 0x0a9ad70b57e8cef7739121df324bc47a,
'gov': 0x552360015f23b99978d5f1a6bd2b9c7d,
'hov': 0x3502b4cfd8d32e461aefbbc5d6c61d8c,
'iov': 0x3ff10eeee3b1839bf6f6a2bdcabd4e6c,
'jov': 0x3c3a776920f9ec570e8422ba204a544a,
'kov': 0xa9e888a7a1585f349ffd77cc99bb2996,
'lov': 0x75e0088227d62d4fed87b7d44a2ae7a5,
'mov': 0x96a4a0e6e9ac88756a0fcba989d0a844,
'nov': 0xb27862005f4e30a31911588fecb381ce,
'oov': 0x2a2f0984becae9348a7e7bbd171759b2,
'pov': 0x26f005fa864d50d584590486c0dbedaa,
'qov': 0x0e73185d55a85ff6e361df2463eba0d1,
'rov': 0x759e948cff231a74f25831cf053c7c5d,
'sov': 0xc86a878805931c0e62badad2837500cb,
'tov': 0x50b88c8a09d3d178430b1513950cc814,
'uov': 0x510d41178bccbb97246f90a9d5ccd965,
'vov': 0x8454973d2940158a33e20ac12c15c02b,
'wov': 0x160882e4110145a319a8fe7ef8d1cf64,
'xov': 0x5267bc9b7cc9596f7b7e57ce3d63832f,
'yov': 0x451fa5a7d6b64d81bc84d88748a02894,
'zov': 0xcf2533716fe70a7bf7e3a08487451488,
'apv': 0x24c556da8d01da4e3b3c3de9ca61ea4a,
'bpv': 0xbd0cc4154a6754e28893de2998f50ce2,
'cpv': 0x8cf30182188efeb0631246f917f93f14,
'dpv': 0x47959044351694e6a5bf4d4b132579bb,
'epv': 0xe264a6a92fbf06e402d73c2fe5f95cf5,
'fpv': 0x2b57103cab66edfcc05b362c4c6bcd08,
'gpv': 0x4299fe53a9ebe74d9557e88977699ef5,
'hpv': 0x7373394127944fff3dd78df59c745c8f,
'ipv': 0xd6e3193d19271e88c08a57319f37db15,
'jpv': 0xc3bc88761e70b7270751c2e110f6ccc2,
'kpv': 0x271e0f23731e31264b5ced055943b572,
'lpv': 0xba3cf11f01ad5f048a95d6626d0a5d3e,
'mpv': 0xa50ebbf3b00db049f8437d8323b088c1,
'npv': 0x59879eabe96b11dd938393add67d2a32,
'opv': 0xe249de1cdc8750847cc34d81c3c8a240,
'ppv': 0xf3b02e594bee897d494f09f374dfb1a9,
'qpv': 0x58a7949a13cc2462a80f3f40d269b8c8,
'rpv': 0xf6c3fcbd15baf94d6b6e70d2aab0588c,
'spv': 0xf4984324c6673ce07aafac15600af26e,
'tpv': 0xcfb218d748e6dcbfea4f9b2ca6849338,
'upv': 0xb8b9dea083c05db9d3e40247c50eb620,
'vpv': 0x7204f5863d59d90337f81b0e0c8df7ab,
'wpv': 0xbec5b4a5b01514f55b37f5ed3ade81b5,
'xpv': 0xa52ed5f14a61cb015bfd08a04ca230ba,
'ypv': 0xadedc7cd52e20205a5ddd09f7ef776eb,
'zpv': 0xff718d9f71c395900da823f01e77fbc2,
'aqv': 0xa65fa7e3a3f55d14bd8c7b845ff0c0ce,
'bqv': 0x4d34ab0580aebdeddce5a723afd4313a,
'cqv': 0xe2ad4b0cabb3573f0b3d4343545f6328,
'dqv': 0xa1d22161624bf73399db7d62a0da2d3d,
'eqv': 0xe12cec23a22e1b35e926f1c706aa1c0a,
'fqv': 0xb2c91c1caa74dec1d9026c238c20bae8,
'gqv': 0x366fbf76669e0a653e16bee785b29f96,
'hqv': 0x8602d3c21506a19830901be9bafd8d1f,
'iqv': 0x66b572e710ad7dc81392024b16bb76fe,
'jqv': 0xe4885fbead13aa03d6f38086fe9d8e0a,
'kqv': 0x9e770be08d2fc7ca6a5d904a2040ef1f,
'lqv': 0xfc4a09b67ba088a5129ecd7c28edd09d,
'mqv': 0x830d80da7317e4edcd8ae555cca74918,
'nqv': 0x4d1a902a37809dfbe7554160aa7271bc,
'oqv': 0x9288b69d53ddd139c738d394e479d428,
'pqv': 0x32235ac5159c5e323315ea6bc13a07fb,
'qqv': 0x4eb152d0b33da93ce2d34a3e018449e8,
'rqv': 0x5c4c91d9b084741a9016fad82ae155de,
'sqv': 0x3d88cf6426c09dfb67e91521521c0c0d,
'tqv': 0xa5c073d2145cfe6005ce29905dc6d67e,
'uqv': 0x4e1d63e2f6913b548c107e586628fccc,
'vqv': 0xff563cfaf154ab228edba1924abd70da,
'wqv': 0x98415c6e906720b918de1953451aa67e,
'xqv': 0x67b23acd78e23752938232ff14120c90,
'yqv': 0x88a80bb5aea02ecb995bb1c8a661eeda,
'zqv': 0xc88dd8ec904c4df5a72e0cc3050357e1,
'arv': 0x0969a1eab115c1b287221629bed8f0df,
'brv': 0xb2b06497a561f8967e903e43c06a253e,
'crv': 0x25f302e1f606294a6a3c731200f86bcf,
'drv': 0x96f08195ab7495519480a196743a0c0d,
'erv': 0xf097bd097592cfb7304c4a495a84e5c1,
'frv': 0x18ed0be048e711b5e6713a8c562c04bf,
'grv': 0x7807d8bebff77687c2f18770c9783e50,
'hrv': 0x12f367dfb34df8ddc20d530e29b6c89c,
'irv': 0xdd7ce858460f53b473af56bc149b62ef,
'jrv': 0x351ed2bc0c2ebe810187603ae3edbe31,
'krv': 0x008ef38abd7841577acdebc4424ce1d5,
'lrv': 0x6e39fc182cde48f018c30db6144125e4,
'mrv': 0x36e6889dbcb152f682343617d82dfd00,
'nrv': 0x9000ab4d07acc4d4305035c47c30e9d4,
'orv': 0x89c1b42f0895eca4a812e676b7faf0ab,
'prv': 0x6f683603084df0a15496d735362929df,
'qrv': 0x22b55477dc640e3c3eb46bf62b6be64e,
'rrv': 0x989fbe8f0de90264bbf860547bc5e006,
'srv': 0x254d290cd568731c37ba45103c16c22d,
'trv': 0x9709f63f970338d12cf00458eeeaf24c,
'urv': 0xb3f655e15ee20aaebe4a1a5afd4c5f62,
'vrv': 0x8f7f26389c9ceac4e1fad147ef8b3b61,
'wrv': 0x4f9226ba4c5011f9f7dec18e77e72af1,
'xrv': 0x703ff0c5e9865bdc4ab265df6507625b,
'yrv': 0x284af711fce02acbea4eec70f7ebdea9,
'zrv': 0x80dedea52ed5f43d7acd5fb7f708f42e,
'asv': 0x275258a5f50081f8ec031e727bde98b6,
'bsv': 0x71cbb877826aa98bbca84e6a59b8e147,
'csv': 0x628cb5675ff524f3e719b7aa2e88fe3f,
'dsv': 0xaf7018bce3402d595aa0d0a2799da15b,
'esv': 0x15e46c79400bb6c62d97d8c4b75e07ec,
'fsv': 0xb33deb7ad23009240fcadade0f9f0912,
'gsv': 0x79613fb8e7ea792c36d318bb4b2ac641,
'hsv': 0x587e6a7556ea454af6a44bc6c021dba7,
'isv': 0xda5523a64cceb1d95d889f2e424e5d82,
'jsv': 0x24bedd45b74c442ee9131bb0434dcfea,
'ksv': 0xf4529f4d4fa1c763247d09e25f80ff58,
'lsv': 0x5e22a39ccf920b270a88def51d3be172,
'msv': 0x7f0a8265f16d8141ea97020e218219a4,
'nsv': 0xb86de4c5592d68c6a47a8d3e708dc70e,
'osv': 0x7f791f89aca4f442da5d968f1d01eedb,
'psv': 0xb5e74fe2a6a3409510b3b7ca649b569e,
'qsv': 0xf77e2b3bfd908c2352f3a5b39d50c596,
'rsv': 0xe4731d626c4452a365b40a3a846f1e45,
'ssv': 0x8e628f5d270e1805ff7aab960565b62d,
'tsv': 0x5b61aa1a0a205f2e970c2d7f6889398b,
'usv': 0x0688c8d567ca9897c9c3e738e4cc6159,
'vsv': 0xc8d148a8865003b2e1fc5365c4ef23ef,
'wsv': 0xd5b03b7a9c5388e912f11ea4eb6c4001,
'xsv': 0x6db25a931acd0cd0427ceb4c84ab9f67,
'ysv': 0x816b76fa096523dc9625197efb5b5474,
'zsv': 0x6d988bb979f39f05317faeb8f277e19a,
'atv': 0xa0e011bf980afc83ad884218c1e86ff7,
'btv': 0xd8655228ec57a752bcaf08e31982bea3,
'ctv': 0xc29af3b84996f6c09069a44971e9e980,
'dtv': 0x53da17a30bd0d3c946a41c86cb5873f1,
'etv': 0xac58713fda0b07d6401d35f1dbfa3187,
'ftv': 0xef4af395a3adbe2993b4b62aa7c332f0,
'gtv': 0x5d7b7671d668e72883dc0bf87d0c0620,
'htv': 0xb7be8e32859d845f7b7043c47f43ae8b,
'itv': 0x4d3c78b14533469da225cf7dd52888a1,
'jtv': 0xc61ed732b4f9bafe14de9fe1e6eba245,
'ktv': 0x93ee2cc07694a81f35db8bf5602cf079,
'ltv': 0x2c19c83e9728f5270e1f77aaa51fa262,
'mtv': 0x88eaac40b27c1b47df9a3f7b7d71e3e3,
'ntv': 0xe3d4300b49c8c901e9339174215d7580,
'otv': 0xad670749d4e4a54fd0d03d475272b07f,
'ptv': 0xdad15a2641c94e3fb83e0c13d7de51e5,
'qtv': 0xb4818a191c7cc474d3395e51d969fa39,
'rtv': 0x9fe7c84b8253e88099d47237e0b7367c,
'stv': 0x83edb09ff31e7366cb623731b679376e,
'ttv': 0xc10681f5d8719688d607e0be89aea3aa,
'utv': 0x7df9191deebe61f6ff9b063ba81dbc1b,
'vtv': 0x7a0f24809c234ea78d972b1f336ac1b9,
'wtv': 0x48b356a4a4012789e42062cabc9e38d2,
'xtv': 0xf3677a93d505ca46b990d2dc880c7a46,
'ytv': 0x5e2e5f68916c8313cb5ea54fd3337f6d,
'ztv': 0x0e6254be0902e99d8dc00d0c4042f5a7,
'auv': 0xc799d15de7ddf24def4a051fdd5ea5e8,
'buv': 0x9d2a046345b1347dbe5e6fa6a81adc97,
'cuv': 0xef95b58b12d82437a04657eafc1fe30f,
'duv': 0x189e0220e45e747481b9ee09bb1faf5a,
'euv': 0x9ae18ddad03f0687f7d86a58104ed852,
'fuv': 0xb173b46680972db57e1d396fd8007ffe,
'guv': 0x2586cd2c71402d7fc99d4c8cb87aa44f,
'huv': 0x76bda5e23aa11a83c6d1888e3def8373,
'iuv': 0xae5024ac818a13b21fc859cf8aa0be63,
'juv': 0x61f95b0b3daff12d80bbb73804042dbd,
'kuv': 0x326bf90c2b1092305c16a083caf183e0,
'luv': 0x83cc23319cec76faa60676417850cae9,
'muv': 0x4ee4d12db567f2bacc3cfd7c2dc9851c,
'nuv': 0x3a309df9fc2506d6508bcd136d1ffedf,
'ouv': 0x5f8e0043dbfdb1986125591f4be5514f,
'puv': 0xdf91d05a7953d4864dc00b98896175d8,
'quv': 0xdcdb70ac415f92a8d41b2e0ca67b9ea9,
'ruv': 0xca111c6dff9003e862ad4fa7d4884311,
'suv': 0xc0276be2e060fea8d3c26d0159c6e920,
'tuv': 0xc5a4dd427c7d73be0413ee1f50aa73dc,
'uuv': 0xdcc019c9c8968f138c449032ee535d51,
'vuv': 0xa509b38eca2d1cf14887b6aceeadf491,
'wuv': 0x0cc10e3905f58b6109fe94a22dccf8f0,
'xuv': 0xd81e065807197836362bd54e7c9a0f1d,
'yuv': 0x0f6895d5d358b563d1b1e9f8c7437acd,
'zuv': 0x6470f91050c5685f8d5be1a642c84ada,
'avv': 0x067026f0c6e2164684867a79f48dc9fb,
'bvv': 0xb0286f5263eed551c51c930d3098b3f3,
'cvv': 0x05f59f175b8961c00305e4ee7c88f9f2,
'dvv': 0x2f63aae372b2fa7b160ca6066f75b2d4,
'evv': 0x920703ed2a555a09b5684fb7cd74e19e,
'fvv': 0x615a61f69b9c5340db527c692b03eb43,
'gvv': 0xf03d891b134e28ddff86710284046906,
'hvv': 0x0791d958455108bca30c9c668fc4855e,
'ivv': 0x037236ad7fe4b614150dab5171c698b2,
'jvv': 0xd0b3ee3f570e869f0a49634c99a4a422,
'kvv': 0x32c29d1031673081687bee6843e9b64c,
'lvv': 0x679e97a2b822d875a592e128e94c9fff,
'mvv': 0xc483793acdafad74d160a51cdfd1f1f9,
'nvv': 0x8da68732922445efbdfe87dad102aeeb,
'ovv': 0x6cdbe985a51b013ddef95ed7dacd2068,
'pvv': 0x23b3c1ea8d96c1e72809c9c8bd55ce00,
'qvv': 0x38a1106ea66853cc6c639e4ee2869e0b,
'rvv': 0xea5ab042ab51a16fd4c0f89d383e8731,
'svv': 0x2c222631e39521f5633dc16465023b6c,
'tvv': 0xc0e770d5a7981cd03ee806bbf949e8e9,
'uvv': 0x5406ca1136504342b1dfbc986970a1b5,
'vvv': 0x4786f3282f04de5b5c7317c490c6d922,
'wvv': 0x78f630d243b9c184b10dc755c7cc41ee,
'xvv': 0xb5c0055f1c8350a0753cf6823d539d66,
'yvv': 0xe106aad4c4eb01117607cdf9c3c53758,
'zvv': 0x63304b2a3ddf9b71d63658df71014f76,
'awv': 0x295cb1d23336b2d98e068508029a9da9,
'bwv': 0x228f42c4d8bfbf1ade80ea28b8f8116e,
'cwv': 0xa690948d98663a140948e54a201f604e,
'dwv': 0x7a204dac5b31b842fd13d3935316a803,
'ewv': 0x687a6070a677e6961c4f7705c3224a3e,
'fwv': 0xd942e3e0c94f74f79c84b799697dbe48,
'gwv': 0xe268be3da0760855988533cd1527cd3f,
'hwv': 0x463af22e1d34e266982936fc2ed9eeb8,
'iwv': 0xbadd959b123173408a4bbe862fd69ce5,
'jwv': 0xe2aef3538f28fbc1b24d27f5c5074953,
'kwv': 0x026fe60443c8256f8d43fac09fbc40eb,
'lwv': 0xd2024cc84cc4164259741c27f976cd58,
'mwv': 0xf63e67d32a1109a3423a5ed4f480c934,
'nwv': 0x97e23b4aac1ce314c84a948e69d929bc,
'owv': 0x900cd2f4bdcd005064e382be8d0a8891,
'pwv': 0xde45d94363888927a83b8e8649ab546e,
'qwv': 0xfa02d1f43aaca9e3e23c905827dc1a3d,
'rwv': 0x64f12464fda68e098e02489355fef0d7,
'swv': 0x5d17e47e6c3bb90e65701cf782769ea6,
'twv': 0x8184a5fe3bd3a16d072cfc6bcceab2cf,
'uwv': 0x00ccf19fe3c3af0746c7f8ed80ecd212,
'vwv': 0x53b57a1853bdfe11d538fe2d4d325dfc,
'wwv': 0x79de068f92881db78f78b1948e426227,
'xwv': 0x01246b4c11ae0ad3a4adf1478d7c53e4,
'ywv': 0x72361c262093c319f8f6c0a61d5bae89,
'zwv': 0xbd7e352f4c2d81be18dd89b36195e7be,
'axv': 0xa9884bb3d1b3c179f929357cac34ffe1,
'bxv': 0x5fa36cbdf782c15c99430f72f171d0cf,
'cxv': 0x9616ce3f4183c5e7241e7a9bb3a192d0,
'dxv': 0x1696bfebb3a6a66bfdeb4a7ffdfc73fb,
'exv': 0x0b2c2f1e241e8a0338cd3bb59abc3d3c,
'fxv': 0x9abb76fd2eed1abffb989564460e1bb6,
'gxv': 0x661894d5ef4878bde5e278ef6f610900,
'hxv': 0xf968b7d4e4be9de740cf4eb755ce944c,
'ixv': 0x8257d0138f886f64db2cce346fc6ea0c,
'jxv': 0x17f78f07383a9e08e7082d782818a29c,
'kxv': 0xa0852a30026e866d8829b73c63e80b43,
'lxv': 0x003037be47a3ddac5c4472d799d95121,
'mxv': 0x75efe531fe788a12252e5647bbfbea9a,
'nxv': 0x046ab44c052e6657be73cc78e927e3ca,
'oxv': 0x08a99a43ff4d0b6b1887d8457688838b,
'pxv': 0x1d1ce76b52ce017de9ec7d05b0be3f49,
'qxv': 0x5297da5f38c52c5cbd329b010e34bd37,
'rxv': 0x6fa37cb391c0ea306230bfe929bf2681,
'sxv': 0x8dbb8d4fba30df33c17c15896eb7ce22,
'txv': 0x1f4f15aa75e0669a83a8c0baa7bf9a58,
'uxv': 0xc3ad5d43e167f6646f03a6b5dc2bec49,
'vxv': 0xc3c4bea45401fa4db7191114693d0aa5,
'wxv': 0x1fad0e4bfb59d3c0e8229ede1f6d26b3,
'xxv': 0xe172832bb48bdbd4864bb90b4cc91d9a,
'yxv': 0x6a5985087a4bb0547f8f228e06dd2b38,
'zxv': 0xafff79410b50fe209fec76899b162c37,
'ayv': 0x6f64f26c939ec3097c5a307e539e7154,
'byv': 0xc4690a81e51b9420b34315cca31f2aaa,
'cyv': 0x6cf3859095ace3354ae54e524bc0143f,
'dyv': 0xd768c4639008cda80e5350aabb9e7c5a,
'eyv': 0x46c1eb672897fdf131f328fcd8aaf94c,
'fyv': 0x27d52c749e83485d06faa91f92968d13,
'gyv': 0x67ab64f5349e510eaaa72b6d432ade4b,
'hyv': 0xef7756700a5bda8d79033f2f3347100c,
'iyv': 0x3ddaa1b572b6ea0612fecafaf031a456,
'jyv': 0xa5c963214ecddce62a882e285268856c,
'kyv': 0x5a237621fea328187c41e4ac84062c24,
'lyv': 0x0f0b585210a1b28d77f3dbd3b548baf9,
'myv': 0x78b30e8bc8554a4884747db8bdd3b816,
'nyv': 0x72bfb91d16fd62e9dffc8f52cc129f05,
'oyv': 0x7d78bc4849d09f17502448ca7963b40a,
'pyv': 0x3fc9a5380bd82e8064748362dc5cf111,
'qyv': 0xdf7ad452df89cfa1be57b4b26d5635c6,
'ryv': 0x1172622ce0576c1bd7cf8f410384f5b5,
'syv': 0x3e725ced914d22a551c910257c8f174d,
'tyv': 0x18bf74e59c59dcee91e6a64e1258bd9b,
'uyv': 0x6909f7a0eaaf014a17991c7975399b60,
'vyv': 0x8f24d96188b06a9bd4003a6414ec3340,
'wyv': 0x371e8ca08426debbcd3a3fba516d3771,
'xyv': 0x796b9e64f6a49827b3e01346a0da428a,
'yyv': 0xf2c150319b648fd08de57f580a8be96e,
'zyv': 0xb9c0f1a5d397abfab62784397cfbc43f,
'azv': 0xcefd9ce79621d74699b57a992726b491,
'bzv': 0x60980a4be6b8765ae5650a2ae007a5c0,
'czv': 0xf9cf78daece6cb449a3a0d21c6be5e04,
'dzv': 0x4e6ec8e0b0216f8d3ec4bfccaa6e90b0,
'ezv': 0x75ac48e2fedbb0405ce9acfbc1fc6000,
'fzv': 0xf00f25b6addf7e625f07a7520a2c054f,
'gzv': 0xd0d0a4e73c4527282f69acd109b6ee3b,
'hzv': 0xee2596ce056687f405dca97319bf0b8f,
'izv': 0x7348f03e1288a10cc66fe106621db9b6,
'jzv': 0x1906e0c7c53671a11c3c637b1d7097a7,
'kzv': 0x3d17895853fafc58c8fb61772845e703,
'lzv': 0x0dc9d53a93bdd4f42abee0f30cfb74c8,
'mzv': 0x78b4f9f05614441beb77f924b92c2f7e,
'nzv': 0xe5935f3145b82875585f6b6081584ac9,
'ozv': 0x8dc648c4693d05e3969e5ebbfbfd8055,
'pzv': 0xc8fe39c26aca47c59c9cacbaad9ece8e,
'qzv': 0xb3fba8a799c9edb035261f9191809d09,
'rzv': 0x00a2f2f369aadf8c5b427714c2afc8ef,
'szv': 0xbee7ef18381f7183f3e7e1fc9bcee825,
'tzv': 0x2d2cdf859a99b5ef4afe9d0195e0ae3e,
'uzv': 0x73683edcded6920b8f3e7c5f06cab509,
'vzv': 0x6bdfb9ee4076a54e68d856348e927c33,
'wzv': 0x1b3bf8e34737dde54cb6c7dc9e1a93e9,
'xzv': 0x18ae27ca25542112fe6db9bd566fcc79,
'yzv': 0xefed7a0138e530e6253af55c3c8ab117,
'zzv': 0x161fcfab3ec9ce9bc438318de0aee3d7,
'aaw': 0x40618960c732ac68a7b5cf574a759ecc,
'baw': 0x5b676fbcbef570511f68feb777b62c96,
'caw': 0xbb0e26c7b06992fd1fe8214f485286a5,
'daw': 0xdfbf6f079b428caa9410f95b2ef79bdd,
'eaw': 0x534d3de568ee4c2fa4b87d082fcce234,
'faw': 0xf3b392b91c4328916e84f050830c8e6c,
'gaw': 0x77aa7ef0259067a7086be2c7e10f4790,
'haw': 0x5a49a647820fcbb4021e4278ffe74ffb,
'iaw': 0xb47f442202b470d639f4aa012f703d25,
'jaw': 0x272f3da8ea6283df73187baf02345637,
'kaw': 0x9ce357fac7e32b396c7b6350b6dfa7d4,
'law': 0x829a56cc8ffa56209e3a10b80d0bbdf8,
'maw': 0x2d2c33440fe945b67f7625131bc5b161,
'naw': 0x92669441d9510ef235ebddb3be2a8626,
'oaw': 0x98d3b259f126f5f61902cae82f0c89cb,
'paw': 0xd8d3aedd4b5d0ce0131600eaadc48dcb,
'qaw': 0xf2835b13e3db32ba2d12df97cc014037,
'raw': 0xbdd166af3a63f7be696dd17a218a6ffb,
'saw': 0xa07a8f8eab60eaafe24af1016a02fbf3,
'taw': 0xa149081d8030fa48f48bffee99c21b0a,
'uaw': 0x972c3db622fab3ef5a2aab637d9d45c6,
'vaw': 0x86a76549b332de18a53c84889258d6e2,
'waw': 0x7dd87e1bac147f619208ad97426ef9df,
'xaw': 0x15ed6fb9db608318e078c1a29d2175e5,
'yaw': 0x92dda6448f3b313c16d01c8f17cdd6a3,
'zaw': 0x5ee77659d2b94f7c3ae493aa2ccdddee,
'abw': 0x8fe07056d5ef1e6af7e9be9ca365fc4f,
'bbw': 0x823ef2e6030957343803e071bc0e8f0d,
'cbw': 0xa7175bfce36da67f40da75427439d638,
'dbw': 0xd1e18ddfbf85c067f05be387480ee5c3,
'ebw': 0x581d78388c86625ad872e436468ac90e,
'fbw': 0xd144d8fbc3d90d5c7185477bf34a9b06,
'gbw': 0xa3e75bd37959fbdc75112a63588976b9,
'hbw': 0xb0499aa8f0bb75d2dcf815de1d1f1614,
'ibw': 0x19ac23d254bfd7520b4e22aee823a8b8,
'jbw': 0xb533989c54e0c261ad92f3f4a94e5533,
'kbw': 0x0346c8d6175af60be31ff1ae4ec26bcc,
'lbw': 0x934ec2509e1e618c5b779a91c9d22cf9,
'mbw': 0xafcea21a1767d28b41b1a932b060c607,
'nbw': 0x1de07a179c391c0a0a3d23016b558391,
'obw': 0x19c2d7d91ed1ccc25531856e66c42bdc,
'pbw': 0x09d288b706a49462289af355ccea0cdf,
'qbw': 0xebc92802135ae474d8ee6e33e9a70581,
'rbw': 0x413c40dc3d0166be0452eb451696c83c,
'sbw': 0xc3584683649930cbbbed5d7a4de07cc3,
'tbw': 0x3bfc487ec558f286f42df37238d8d6bd,
'ubw': 0xdceab205ad7cb872152b6545b254a229,
'vbw': 0x24ba9e3be1f86b5ec63ecf7291c49a96,
'wbw': 0x413c0f19320f604144ef189b803950da,
'xbw': 0x5e4cb32575bddc6488ce61b22ce6f44b,
'ybw': 0xb24f5b85108aeaee7f55b6995e277083,
'zbw': 0x1999bb7e3d51064fa33c55607b5c939b,
'acw': 0x06ba74590a61b6073bd73be19049a00b,
'bcw': 0xc99fa13828bc8cb857c19056f967490f,
'ccw': 0xd5e5cf0370b9d10e06756dbb1806e763,
'dcw': 0x624133ce9cba7c5d74672070990532b7,
'ecw': 0xeba67d038353456346fd8f0a2c6aa7ba,
'fcw': 0xa6fda85cc34eb070dea2a1be39063067,
'gcw': 0xf5597b8fd99b62bbcc29ab47854edcb3,
'hcw': 0x14f46bab70bff947c19b566f60bfb7cb,
'icw': 0x4a91c71ac3da9237376368b19ee8eea7,
'jcw': 0x968ada64dd5242f9b6e60ff6b89e7644,
'kcw': 0xc48f5daf373f87e5e3d7b08d9f9a8215,
'lcw': 0xa1dc6e64cb6ecedc99c3388af49d64d4,
'mcw': 0x58c09bcc6a736a715b3afb63f349d0a0,
'ncw': 0xbc4eee572ad38f8a5c2534e0b2533100,
'ocw': 0xc08501e2be48a9318db339a5a86e963e,
'pcw': 0xe425a90e3a9291dde6447ffaa7bb9472,
'qcw': 0xbf8c5f8f5cd1497fb9e6a819a37eac47,
'rcw': 0xd214fb97d5a4cb10a8682136c1ee46fb,
'scw': 0x7a933c7b91d1083c2f18c8acbeb4c5fb,
'tcw': 0xe8c34469f6a974f8c1ef4afdf59b55c8,
'ucw': 0x6f6621d6436fdd23671fd9dd9a53e3e6,
'vcw': 0x819991f8b6348d281ffecae29e16cc54,
'wcw': 0xb6c235909d7aaf46b579aae8da648af4,
'xcw': 0x3769d01318cfbf48be4bb0f3bde4bd55,
'ycw': 0x2c08ab48bc5b804b9235e5bebac74d85,
'zcw': 0x5af6814c150d71e4d9a2fa5d26c0f667,
'adw': 0xd1b46720b256ff6a478a806acc251047,
'bdw': 0xcadf54049be2d757105d745321480ab6,
'cdw': 0xf262be313467a4ce3ec02c8ee6535ffb,
'ddw': 0x3aa56b5882f28159b323b41ca6917fa4,
'edw': 0x151bef5624d2839482b1d021f9eddb83,
'fdw': 0xe444854cea1af56e4dd19ccf02677629,
'gdw': 0x2fb8039b83bfa0e432a80feb302bb700,
'hdw': 0x7f9ecf9352443254121021599f88b567,
'idw': 0x2f1acf712c5822318b01275448b3f058,
'jdw': 0xa4017d6322482403bc409f0533b0f84b,
'kdw': 0x411e8d42e8b9c5c97f9137929df7aa80,
'ldw': 0x23df29b5eb874d79e88adb948fe71124,
'mdw': 0xcf35f5031a0f4c135f050fc1d148d3ad,
'ndw': 0xabdbd42ab1edfab3048f043eade4c0d4,
'odw': 0x07b0cbb00cbe69061217b12df5eb104e,
'pdw': 0xa04c507a807f8bdd7543a397a71b0ac4,
'qdw': 0xda2755f208eb79fb2973465ab0d71bfd,
'rdw': 0x4559adfc323e82f49c24a5496859abc4,
'sdw': 0xe6b1d85b6b7cc0ef1959d94f0cc3e2d8,
'tdw': 0x7f9c81ab2d49d0fdc38fcb94a1fe98b3,
'udw': 0x2f585bc144649ecbd2dbf5e4107797ab,
'vdw': 0x1c0de9bd43ae302260a0d0997d2ed075,
'wdw': 0x9d03f4c2dae07ef9153d4b31328c110d,
'xdw': 0xcc9d1dfe18fd74d677bb122de768663a,
'ydw': 0xe1b56aa59c7c67da4f4ea647c4a00713,
'zdw': 0x6f43f6b19cf54b5ce90c4e9b2ac42f67,
'aew': 0x0e60dec2ca8cc1bf1f99088d61e4d9a3,
'bew': 0x779f1ada394f9185cef93a0af9506dbb,
'cew': 0x6ba813f51471206a2d1a8288e5a125d5,
'dew': 0x1801bc89e752077204c92b3dd9f9f62d,
'eew': 0x81f4ad03b62421561eab7f9295601aa6,
'few': 0x7c3daa31f887c333291d5cf04e541db5,
'gew': 0x76c7f65881bcc6f33a10cd894e79c2bd,
'hew': 0xe6e41a1ae2a7f7f67245863f2e0cc878,
'iew': 0x96cbc374222d5e18ac3c523774eedddf,
'jew': 0x0505c8383fd19e8fd720a777738a57a1,
'kew': 0xd113a6b12a72d9f37b78d1f254de6cf2,
'lew': 0x09562b589307511fd158dd516e583ac9,
'mew': 0x4b673ef9d9869d2661a128b4d115f5fc,
'new': 0x22af645d1859cb5ca6da0c484f1f37ea,
'oew': 0xb68f1b8d02222f88a5a545a66fd31ea7,
'pew': 0x08db7753f1701612b8524b87f1177518,
'qew': 0x466bd066eaea252f4853611938852cfc,
'rew': 0xb37c8dd8b83fce9b7239550976117d7b,
'sew': 0x48519f7557e1b0f05c65a0455dc64fb1,
'tew': 0x5b06fdaed4d25b346b65c59d42d9e4df,
'uew': 0x6ad8842d614eaea7160450e1ca226006,
'vew': 0x6fd6b4802d878103b22e519bec3a722b,
'wew': 0x3847820138564525205299f1f444c5ec,
'xew': 0x3a308fa7c259648bf508bb444be59599,
'yew': 0x24c56ae68137903725d16a0c67965a68,
'zew': 0xcdbecba26b7e90271ae37bebccb1c586,
'afw': 0x8b08f67e52084cfb3ed9d81588fd966b,
'bfw': 0x5cd1e52052505f14ddba45782f0049e2,
'cfw': 0x0b88134e3881a422fbba84e16ce7f021,
'dfw': 0x3a63ee463554269952ed5200ff36ba77,
'efw': 0x6ce22b387783a421a2d13d5dce477b48,
'ffw': 0x39af34ca22078e972611b21fd5ae0834,
'gfw': 0xfcc647f68de5a5f8e3aaf6dc3e76da7b,
'hfw': 0x6744ab25915337667431fe838184b4d9,
'ifw': 0x52e481b202a7f8928c72b11b3401da79,
'jfw': 0x0de880d51affa149c57de7abcd25ef85,
'kfw': 0x85f933844890e20f1513313814687689,
'lfw': 0x598d3faa1ccc7bce900c7bc0eb7ce51d,
'mfw': 0xa89d168e9ac50fb36328d5a8de6ef164,
'nfw': 0x42f23d33e8fbc9b8e59649e84e945b98,
'ofw': 0x04d7406c1105fd37bae14bec0bfbb3e1,
'pfw': 0xfa6bb2e26a0ccfef79a2df429956092b,
'qfw': 0x0e6f0eb3457a486f0e0c4d40be01a3ad,
'rfw': 0x1925706104145ecf52dd0ce36f603787,
'sfw': 0x4b5c3f3fc5fac1527f906b29f5ae340d,
'tfw': 0xaf4a335ed97c70fe408eefb33bc9c204,
'ufw': 0x43a8c9840722971d7bc00f689aaba839,
'vfw': 0xcb01810ab57bcf66384514e780a4e3db,
'wfw': 0x1b0a09e29a394014949b21db3aa14f44,
'xfw': 0x7ac932a4ae2bf7948ddea565066118a6,
'yfw': 0xc4b614286f958779c107087bcc07a61c,
'zfw': 0x9d5525690691a83806eb012ecb8ff097,
'agw': 0x698f7a896e1a902919f1b4d6cf60f894,
'bgw': 0x2da2dea17e18faabbcdaa0bc5127a755,
'cgw': 0x7b5fffa37a5d7399efed0aae2766dd5b,
'dgw': 0xcaa2c83924f85954b2701ba3b9777c82,
'egw': 0x6f5808953093eb5b6e77ed59e73368c6,
'fgw': 0x33c674a20d2a473a5a981b43f6dca344,
'ggw': 0xbb4d63bce78a8400d32b22d9782e57be,
'hgw': 0x0d844991be6cbacd3c088c2b6966eb13,
'igw': 0xb9a27ba5d63341d8ce736acf7091c0eb,
'jgw': 0xb710e19c69cc2fd07bdc2ecbe491f013,
'kgw': 0xe6dc0c4602cef88eaaa93d07ef930fc3,
'lgw': 0x03f79b3ef0376c1fa40d0e5c94f9ec44,
'mgw': 0x62a4dfbbb4de5c046cb446ebba0439ee,
'ngw': 0x18bc46ea906c5e95246bbb19e89e9a2c,
'ogw': 0x3f6a3b96384c5ea02a5bf7c5d55fc2e6,
'pgw': 0x0834a333659946af21f6e607f4cc8479,
'qgw': 0xeab76ddcb2044273cbbebd8bc1f82c7a,
'rgw': 0x18a677ec6194e7a14c366c67113f85e8,
'sgw': 0x7f077fd9780dbf3666a11781ea262e60,
'tgw': 0x9df8ab1d28727d0f640b1517d5e49c6f,
'ugw': 0x327704f2a792173d8fe896e6f6ac8d1a,
'vgw': 0x653ff9403da2d3d06f006109ab09c52a,
'wgw': 0x3dc2a78a9648330c062cb819ca5432c7,
'xgw': 0x280b846a2d191a76dbba1e54daafbe8d,
'ygw': 0x59f45d54651c465b98f68cb683e32336,
'zgw': 0x9ea9c44a5b92051ac2488e9aebc07a43,
'ahw': 0x239cdb881d55a19c6fbbc086f86e4bcc,
'bhw': 0x6adcff9bb6c324d349dfd67c82e1e832,
'chw': 0xf5b84b40469cbcfaa4cd7183856ecfaf,
'dhw': 0xdb75a3877d61df1a6cb85e0af3254de2,
'ehw': 0x86a2ba5fd795ea0e7250928e04f97df4,
'fhw': 0x6bfdbeca6999109928337ef6636ec28c,
'ghw': 0xd9a4a2f868deb8150cb9d711dc3cc9e6,
'hhw': 0x3b518414c8109f940922e44bc4e1a4ce,
'ihw': 0x928b9270a33bd4446b89bf50ec597784,
'jhw': 0xff2e7b04a947d394c5e052e22692bbbd,
'khw': 0xf68cea2a49cc80159f5d4f8e00f31e35,
'lhw': 0xb9a18c36770541586817f3c4de118b9d,
'mhw': 0xba210afe3f02f05e1ffbbeab26ceef8b,
'nhw': 0xf62643d4eb337378d2b2c1e90f09b793,
'ohw': 0x7d1862d416dbae7ebb8019e1ca70da23,
'phw': 0x4fddfef0324a0baff6cad34fcb5403a8,
'qhw': 0xcec414197739819e61f875b8304dad18,
'rhw': 0xe4ad856731c1b986c99da3474f31559f,
'shw': 0x0263d0d9af0bdb2b2637454dc727022e,
'thw': 0x13537517db0f89e5fbc60b177640a437,
'uhw': 0xd99b5b27e516db11c15151621721ad3d,
'vhw': 0x6abf051aec6d4751b189bc17299b5693,
'whw': 0x31cc6d20f2b49e25ed56eef37a4871ec,
'xhw': 0x4164c07000f11b2e1d14a8b91e377e2d,
'yhw': 0x923defd0cc776bef78663b2f991f978b,
'zhw': 0xcae0e7fa9ab5739e03afe830ef0e6535,
'aiw': 0xb699259e658fd46d6a8a0233448cda4b,
'biw': 0xb095f94c40a51d105766c33344d7af73,
'ciw': 0x28c328b109720ec2c2d4a931377dbace,
'diw': 0x279c94b505626602042e701f75222c3b,
'eiw': 0xa84177a3a930ea0f1e51170b24c85e6d,
'fiw': 0x75af3670feb250716dcaaa14f40aab94,
'giw': 0x9daa63cb1687dccd21f913b3f56daf9e,
'hiw': 0x2b4b3f61c60303db21cf2d5f77f5f944,
'iiw': 0x4fbe49be988adf8095181ca7aeb4952f,
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'imw': 0x4fff2838f627379c2ca60a7d206287fd,
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'oow': 0xaa17058e91a30b37eb104fefbdac0083,
'pow': 0x30d7e0494351def45591fccb21d3510b,
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'cpw': 0xeb1b24702ab3af352eae9a67ef953b9c,
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'lpw': 0x0076215514891b38fdd03ef512907176,
'mpw': 0xc3e57e97f4c290780d0b9f7a20942870,
'npw': 0x4998522bdca59f31a0840d7ee9260e63,
'opw': 0xfd2b55386a7e7d4c353627b9e662a3ad,
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'rpw': 0x3ddaaad69e8212003ed323d670ac47dd,
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'tpw': 0xff9dc7b49f1580d2da7e19f703521881,
'upw': 0xbb5f57abb358171ffd2686d0a155a94b,
'vpw': 0x601368d32dbe678d2cc8331c2c1631e4,
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'dqw': 0xc7e7bebd73a4eb2dd8ebaa018b141019,
'eqw': 0x6bdcbb606161c47eab0615ff6e13313f,
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'nqw': 0xd033a8c60578ce5650840512fe9400e5,
'oqw': 0x8337a8670c11785fbcfd73a4ca85a897,
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'zqw': 0xb40a2b005da5f4f9188c817be51d39ab,
'arw': 0x6b366f3742ee0c85432245dd5f45688a,
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'drw': 0xf5709af03c9b28dc263042e62d15b506,
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'jrw': 0xbf3302d057c10c59c6d4cee9270c6892,
'krw': 0xa3d723f149082126eb678ac13980f8ad,
'lrw': 0x2a4577c76588402123943d8ce5c72d62,
'mrw': 0x4ed2211cec0955e0dc71827a501558d4,
'nrw': 0x92ca884a680bba38e75a59000b8c5fdb,
'orw': 0x779243c8c5097c6920d52b79d31f0d4b,
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'qrw': 0x175b902c0a9f5af2224bf4097561acfa,
'rrw': 0x1bd392fdd9bbcd3c20187ffbc32b0dcb,
'srw': 0x8518de53b8b91ad4523a3a7c510a13e0,
'trw': 0x5ff7405aed6ee160acb384287a45b298,
'urw': 0xcf3dbbd678db09f839e2e6cb31792ba2,
'vrw': 0xb080047706609e0e6a20046ef7008bf1,
'wrw': 0xd69dc8c061f6093da232e19c85e6b5f2,
'xrw': 0xbaeb8916914032e13f7c99fd42d04042,
'yrw': 0x4c8dfcc0e80133f5c1bbf72ace2a4d61,
'zrw': 0xc888f3dd6a385becf18970f14086b692,
'asw': 0xdd0ee4aa584f539800e1443fdf250d38,
'bsw': 0x3ff10c9b3f975a38e927c654e60d25bd,
'csw': 0x7da518a55e2d9c4c217a921aea54d45c,
'dsw': 0x2f4aa615ea15b3b3756a6082968bd103,
'esw': 0x0ad73f25374ed0e5ee7ad713030642bc,
'fsw': 0x37dbe588ad5d6d0ea03e609c8fa7a98b,
'gsw': 0x2e6caa66096f1d4bed0fe21ee5468fe2,
'hsw': 0x260364ad96a4618f14199aad78710295,
'isw': 0x42b0876ab3ba2f83356436a24cf80600,
'jsw': 0xbec83dea67aa407f58e5869df68f952e,
'ksw': 0x858d95ff49fe15c5255ea0999c607f15,
'lsw': 0x45629f7a7509bf9f743bf0a0004b3ee4,
'msw': 0x3d0272e1f71768b309817c93e9a59c70,
'nsw': 0xc3768fe04ce22117d45f8d401c628de3,
'osw': 0x94c0462d05e46dfe8d15e86dc429b6f4,
'psw': 0x7bb483729b5a8e26f73e1831cde5b842,
'qsw': 0x7c79746d7be0e8ab87136aa0f7069df8,
'rsw': 0x6ad83d7697fc8bccf6baadc7f77253ca,
'ssw': 0xfc11f35fe2b9f3609799a7f0abb4f30e,
'tsw': 0x9d0225dec53603fad8ab1246627d2da0,
'usw': 0x2cc2c74685f65f453bf6a6df1fc560df,
'vsw': 0x0500742f383e18cfd3c0fdd3a049409d,
'wsw': 0x1fe06a09833dd0eaf46927e9a406a1c5,
'xsw': 0xc6b2a21e35cd83836c2906273cd823ce,
'ysw': 0x46f97d63f32a67ffb83d983b22aaee21,
'zsw': 0xbed372cc00b0cf686847016882ca53b1,
'atw': 0xd0a263288fcf1d42ff956f457f3fcc01,
'btw': 0xa1f26721ed609e446e95f43a51951b49,
'ctw': 0x7c0b8b75c27cd5860e1ba09312e8351e,
'dtw': 0x6562a22d7bdaf9fa7e0e6c850fe9e18a,
'etw': 0x9e73b5f9aca3bcfcc13f110a91f553b6,
'ftw': 0x830266bc8848e9e0b62835f6516d9327,
'gtw': 0xa6aa2dee95afccb06f85436affd3f586,
'htw': 0x0fe63a2be16c17289a5405fafc0f9b7b,
'itw': 0x57aa68400cd56444e4117b74ba9e94e9,
'jtw': 0xec6bfd88596eb8712d707415f439efcf,
'ktw': 0x97201321153ccb19a792b400eece7275,
'ltw': 0x1bd6c5f0d437582415cd8ca55ec2126e,
'mtw': 0xfb09877df11005e0904f84f5c0c1dedc,
'ntw': 0xc08272a164451b59155217bbf691e92a,
'otw': 0xa5df22d4964a538c1531f12352824bf0,
'ptw': 0x631e10fb56715eb9d7f484aa1510d485,
'qtw': 0xba2268dae2ff4e0b832c695456fb1ac9,
'rtw': 0x5ffeb6c0e55ee6b6f27d8788fd052f77,
'stw': 0xc3fc1d219b0ef8de1abfdfeabc98ec82,
'ttw': 0xfff3fa8549d01bc6ac23ca9fc77088d4,
'utw': 0x1e0fb8c4772fb546e997b851bc4afa66,
'vtw': 0xa398517a0eb8d1c48f009e5e6e9d3a59,
'wtw': 0x15cdee57398ba71d861076d38eee91e1,
'xtw': 0x1976952cb57330e9bf2094308c6e4faf,
'ytw': 0xdaf293263b1d923664ad8061a71a5d13,
'ztw': 0x6b7cb26b9203ae8f8c9c84495c1699c4,
'auw': 0x725a68991f9d6af8777b726fe8d2ad4f,
'buw': 0xf32eee73bb6a429d2178cd03a1a8b8fd,
'cuw': 0x96813564d7708478564f4bddbcc42cbd,
'duw': 0x68b80bdfae7cde1ae4bc97973fe5c3e7,
'euw': 0xb1406c2e9e50aa8962bb578d915be0f7,
'fuw': 0xc299be4a029f82262c396a67e13036a6,
'guw': 0xe54bbb8741d55358e5860639bb69dab2,
'huw': 0xc7a7d82ebd55d81bcf09d2160bf11358,
'iuw': 0x1797f28fee8554211806fd04601f442e,
'juw': 0x1a03096d349affd7f8ba9d9b35a92f63,
'kuw': 0x3574aff270ef4c919b43dccacf7e7070,
'luw': 0x09a9a8b864baa423793ddbe5ad27d1d2,
'muw': 0xdd62eedcf65f552221ed06e9c4a55738,
'nuw': 0x1cb6ecf47d175b4055a768fee5f76e97,
'ouw': 0x54d4f91054f348ac0369e804ec9e7d48,
'puw': 0x607705336de4a582a2544ee5a1c12c11,
'quw': 0x5a326ad0f5332ad9256eaafb95d9ea27,
'ruw': 0xe2da7783eab9f9a21d60bda23908d60e,
'suw': 0xcddd8e3013021bee72212d58030b6ede,
'tuw': 0x1584dd753e5555dc732ca2f8292ab7a0,
'uuw': 0x3cd1d0d8ed949cf9094f07293081d162,
'vuw': 0xcb5c7872cb398351244880e46a1351f8,
'wuw': 0x566e464e5e3dde68655c3b8f1e9f5e09,
'xuw': 0xafe2753211f186f81ba842b01c4b481f,
'yuw': 0x2e5e039b79c1778be3c8b0e78c766552,
'zuw': 0x73da2763d8070c9161abb1af5680debb,
'avw': 0x4a07df7d16253bcdb03104f7ee66c2be,
'bvw': 0x11d7f10830a3cc6c643de677962d0f71,
'cvw': 0x25d81324ff2a3ac0b5395d6dd2ca3573,
'dvw': 0x0a4e205dbc8ba4634168756e30770e29,
'evw': 0xd2953c23b362c08ee3ea4670ce6f4af4,
'fvw': 0x1774ab3b64756296340d35bbf72bcf81,
'gvw': 0x847fdadfb812a6895b3dba2b37dbe197,
'hvw': 0xdf157b4bde57c8d654b6d9051d5408f1,
'ivw': 0xec989ef3f3eded2f3b914ff03bcf6fad,
'jvw': 0x230f0cac46a8789d8a37082535acb4a3,
'kvw': 0x8de390d8f4f44c627164453ee4e5050c,
'lvw': 0x6dad0253a997c10bd2a07060816fdbb3,
'mvw': 0x80c5524eb3bfeed0fb04b256adfa99c9,
'nvw': 0x4c623dd0725257918870c12445336fe7,
'ovw': 0x36d3518d698522bdebdb405657026085,
'pvw': 0xb2809eeb41db52020cb25fc1e8738deb,
'qvw': 0x9692905576dce63747e1c1fe4b9d55c0,
'rvw': 0xa5eaeef867cd7f07985c929812f1c1bb,
'svw': 0x46460edc0af788d1b401f4590b3c9c22,
'tvw': 0xf5f7d1a9066b8387930e39569e712a40,
'uvw': 0x53f21197fd88556f12d066faea1684e9,
'vvw': 0x8910d8f1598532f64e156b8c68941e9f,
'wvw': 0x15c07d0841fe07ef236cbc40290989bd,
'xvw': 0x16f1c51e405f7a5142ad997ad06196b2,
'yvw': 0x8997fd4928293aa4ade93699b3b11aca,
'zvw': 0x4fa18eb5e362bca0a00019515ff6e4cd,
'aww': 0x31d5c3221900f07120d3cfd1b2961ded,
'bww': 0xd3d69c7500b00ba1b96518d1347ffca4,
'cww': 0xf666ba62c4fa321c0d91598eae0796b9,
'dww': 0x9a1edacbd8ce551077530c7c1099cbd1,
'eww': 0xc69c4f782cb4d2cfb046fd1038802efe,
'fww': 0x77fd7d3af917dff1e51bc5eee966ff52,
'gww': 0x13a2967c7e1f18785c839e5c8c0c9c71,
'hww': 0xf0ee226443c92644bd871ff19a6ec4b1,
'iww': 0xf21677aaeb24c9fcf4b0ce877843066f,
'jww': 0x83faa89c7c6fe1661edfbb4135853b15,
'kww': 0x30e0bb29e8f1760694f6732632c14d88,
'lww': 0xf32c784dea99459143adebdf4d2f4b7f,
'mww': 0x6d9d1047b329628d927659f7a0a68df3,
'nww': 0x5fbc24308cdb3d9f28a263f01f27ade9,
'oww': 0x47f3e0d9f9ba7f1bfb745acd50a1b37f,
'pww': 0xed0518100ede5b9f9938eadf2f608e8d,
'qww': 0x870e856360391980a51958b91f12cb3d,
'rww': 0x2035f1be6e06c2f27780732435a90217,
'sww': 0xe0141b91c05a0a3628ad1100d3b81270,
'tww': 0xfc89965d47de0e136dc0d29e7e19c2ba,
'uww': 0xc3b6777d3666a3ad00be4130437e4954,
'vww': 0x300e193ec1ac5dd2a4f4e93c88605cf4,
'www': 0x4eae35f1b35977a00ebd8086c259d4c9,
'xww': 0x885c1720445f323fa7d453e42972d9c2,
'yww': 0xaf12312420b4a4546bc981ccd50a10ac,
'zww': 0x5c26fb625f320f7a011d87f34dc1ec54,
'axw': 0x128c17bfb82f27ac4f27e6f165924264,
'bxw': 0x3c641700a855f8a7cd5e4aba78bf8112,
'cxw': 0x4ad91395f37cb7f760d9f8413f31fe01,
'dxw': 0xf0080e9f5a75f8c376d6e51294465d64,
'exw': 0x4f2d2e812829f1b2d1b5056c2fd5bd4a,
'fxw': 0x657c96a87c2c20e69ae61d623c3e5612,
'gxw': 0x9efafdfe32c34684237d9c0e85688082,
'hxw': 0x9a467a5505368da0c81ca19a6b774b6c,
'ixw': 0x612aa317c0972e3cb93804a898f060ff,
'jxw': 0x2599f13fe7966b8616b46c0d221a8e79,
'kxw': 0x7661913d97a6509803c27ebf57babc09,
'lxw': 0x275939945caa6f44d32a2bdb9687ca47,
'mxw': 0x02c3ac996efb4872b235aeea4c87d8db,
'nxw': 0xb7276aeb6faaf882c4a96c691f50d236,
'oxw': 0x3fcab0d19c79fe37cb1724aca7ca0bff,
'pxw': 0x97324e70943d8682e7454dd8cc63557f,
'qxw': 0x01acd4ffe1bfc4946fc7637b045e76e6,
'rxw': 0x6a5d4b726e15a9df41f528512b53f483,
'sxw': 0x5b09607bbe69339146676a2e3f696419,
'txw': 0xfba6913ae91d481fe060ccdd56eef881,
'uxw': 0x795b698217c14b3e2d0a74e364c742cf,
'vxw': 0x978f8dc4297d50bff82dbe197f1fbc90,
'wxw': 0xfd05bdd45e875e3b28606bc215d5498b,
'xxw': 0xbeca3389582d0f65ce6e536c053619ff,
'yxw': 0x6f76e9bf0e259b2b70da8f9be1037b0d,
'zxw': 0xaf52a37ed4f916399826961fd303bd48,
'ayw': 0x0a5c57c87e28a2641062c8e09f40b46e,
'byw': 0x3ce420b0aecfa257b7d5771b31f52b11,
'cyw': 0x5b70b128c9b1898779fcddc66e9fb741,
'dyw': 0x669852fce132d7b74c2c5d5d9c665db9,
'eyw': 0x0b5db25b33f2cca48556123209b429d2,
'fyw': 0x71ec810069902f5fdc7cbb21bac94ced,
'gyw': 0x73509eabb28c3730e29e4825fe6a1841,
'hyw': 0x8d13c34804bb4ffc4ea2dc9e07d77587,
'iyw': 0xdc31e6e9f6b7ee9763fe4f73ea11a0ce,
'jyw': 0x9f274a3d864fa11191d8de138ce17eb0,
'kyw': 0x15f9253eaa3883a2106eaa0cd1ec9427,
'lyw': 0x6eb4f98d02c88add53d3758db8572664,
'myw': 0x01a25b6ff809017b7e836d1a51f583ed,
'nyw': 0xe2141ff78c1cf79a9c954eebafc4ec36,
'oyw': 0xf8ce587b14fc251d6d6dd45f7490f5f4,
'pyw': 0x8aacb909229c86549afae3f2de961f14,
'qyw': 0xd0a37d2e50a8a06d26b861062c7c949b,
'ryw': 0xa1c8867cf6746d57083fc10764a9ffca,
'syw': 0xb83bca76c4fd6d3ba5964edeb300df6c,
'tyw': 0x748b80d33fe65f4822aaa27406b52e5c,
'uyw': 0x14d71679db47843a4de7d7eb17ca8275,
'vyw': 0xaf30dfaa072dec8d9cb27d1fc16da27c,
'wyw': 0x89c7582101cba2d96efade948d05af39,
'xyw': 0x42a09bdddc63daafe2ecb2859f5ff220,
'yyw': 0xd2c3646b52177902a841ac159812b290,
'zyw': 0x4e17c2506889741a7bae860b59247012,
'azw': 0x479c97be867a909fb7a92b8a0fd65bd3,
'bzw': 0x66742fe94a00b8a8236fa0d96c0300b2,
'czw': 0xffadd5bf845956663e1f71a6674de855,
'dzw': 0x0134ad6b9a4726a6aeef0870f11c81b0,
'ezw': 0x8b7d60954fd4dc86b8fb9ed0247b19a7,
'fzw': 0x42c900e7cdf4c85830453ee9614b7d54,
'gzw': 0x83b13903922f5ca811448d4704a76749,
'hzw': 0x02e0056f5ac6ab93d91a438e13d17d57,
'izw': 0x1d90660674611175e3737b65519d4455,
'jzw': 0xe44fa55484fc4d30c76b4851fc6ab111,
'kzw': 0x9e17def625ffb9c7c125dc1c08804f82,
'lzw': 0xf91c0edc018cccab7e524c099990550d,
'mzw': 0x6aa5590d1e35198ab1badbdec503a8d0,
'nzw': 0x0e1b4a29fd964928ad76037899ad4995,
'ozw': 0xad3a9fdcc61bf5a3af69d7b581236f55,
'pzw': 0xaf877b1427eb981eea0eb5683007c0b0,
'qzw': 0x6ef067cb122675aac237c31eca7a4e7c,
'rzw': 0xe0071fe7c126ec28865be60e6947000c,
'szw': 0xcf6d6203441e8813b74c7e5a2eaa7047,
'tzw': 0x09b31d2d59f00393f9af5b2336bbbd8f,
'uzw': 0x900614e99c1163d9ba37d6b43db2cc12,
'vzw': 0xc8601d6f98d02d1e03e93c946ad9c420,
'wzw': 0xb91f7b5679833f44750e8b450c2e8002,
'xzw': 0x14f4a0e6461ec581054179de999d37cd,
'yzw': 0x0372bd336c1ece9b994907eeca7d1e2d,
'zzw': 0xfdea199d71b110a3533e55b6f25dee46,
'aax': 0xde0a3e55528a048a853b0856bf59a1e7,
'bax': 0xe5b942a9860bce4e877e039db9b31336,
'cax': 0xb769eb6fd71d1a23c502d8b5879f4cf7,
'dax': 0xcddc72c908b895a8121569f0af360509,
'eax': 0xd1b52ef1e322a9f557e7544ae1385990,
'fax': 0x236c3b7f761221f195b428aca2f06c4b,
'gax': 0x2cfa0dbf24934744ee107be938bbb505,
'hax': 0x758e3940a50685dc33436f9268628b52,
'iax': 0xbde9257989832772c4b934758f27bb23,
'jax': 0x7e65a9b554bbc9817aa049ce38c84a72,
'kax': 0x81accd3d953c19567b0f72a107ad6ee4,
'lax': 0xcef8605189c6f354b710d90610fcff74,
'max': 0x2ffe4e77325d9a7152f7086ea7aa5114,
'nax': 0x5171fcbf42bcab65758aae7e9218e28b,
'oax': 0xc4637dd769de5941a4b639c4d53303a4,
'pax': 0x991df245b7aa31f83f359cdb0a32e242,
'qax': 0xd18a2709431135f41eab9828d90c4bb6,
'rax': 0x0b1c108d8b9c46d402a502c5b6b9261c,
'sax': 0x6e7646f19214b0417cfd9c5b174d754d,
'tax': 0x06565e5611f23fdf8cc43e5077b92b54,
'uax': 0x9bfee621ac54fc944be50b4ca90af8cf,
'vax': 0x0091725dc148360935f7dc6a321cbc70,
'wax': 0x6f96cbe1e77384f429dfce5f6072b105,
'xax': 0xc5fc29b612cfaf450274490c1b9372a7,
'yax': 0xd4e601e58a1c47bd6da3275e88d4355b,
'zax': 0x5f26ba5f14b065940bc9c117f0099df2,
'abx': 0xffc810508b973a0cc3fba9474a856ba7,
'bbx': 0x28eaf61354ceb121c3d70b56a4b5b248,
'cbx': 0x66f7c3a8b73e1d5e52cb7131b356840b,
'dbx': 0xe031030b566da82eede3ddc2ce2dd12b,
'ebx': 0x940911b0fd0fbce250de05f6348035a4,
'fbx': 0x7e6b605a0aea67d9a78043a0fcc1d2a4,
'gbx': 0xfa6d89aac48c588f7de677cf22515883,
'hbx': 0x1c3ba6915720608c7f79bc2835aa120e,
'ibx': 0xcf0a46f06d877f7305a802fdfe69b7c4,
'jbx': 0x242c3a9aed1859410980a2c293e0c66f,
'kbx': 0xd8249e4fbd47d9abb005fd9e50d4f39e,
'lbx': 0x6c479755af7c2edee30f4970901b8955,
'mbx': 0xda61c0476c0d8ab5436adff24e3b0dbc,
'nbx': 0xcee235c7facfbf29c65b2cf0b469c637,
'obx': 0xbebe09112fa39f76d853beeabae29cbb,
'pbx': 0x569f7a090087f9e7071a247a24ea0809,
'qbx': 0x4946c495d322efe4395f24618e12dd30,
'rbx': 0x004fabe7cfcb250d5662eb53b16293a2,
'sbx': 0xe8d01ef91da56d14780dcec52df225b2,
'tbx': 0xd7f3db172a60feb16aa4c611b95e8100,
'ubx': 0xcf696d4223239d0a1face7057057b094,
'vbx': 0xb6cfa12c807098ca97e3fba6aedec7c5,
'wbx': 0x5bf219a23362052ef7777396a7890e10,
'xbx': 0xdb44d0105e7a9e779c127d0f23c07821,
'ybx': 0x9943099a35496dfd792cbb33f6f9ba90,
'zbx': 0x4592356b8beafeeb2d25020cc0fe8d96,
'acx': 0x0f329c662d82f3ba0aa383c8e7e9cc92,
'bcx': 0xefb77ba090a477ae312070e5639f6e7e,
'ccx': 0x8a0bdbd84559fcb34e1aa8fb6f52378c,
'dcx': 0x7e7ea41f9dbde9db253641fa1afa32f2,
'ecx': 0x8a6db67b3d979ffadc6b517b64239b6d,
'fcx': 0x3f604dc3a2da1ffc7be935e3738454a2,
'gcx': 0x30c4267c214e9f137cb51cd52a136d93,
'hcx': 0xb904dafa4accad904b83dce1092bd369,
'icx': 0xd761acf21947c2bbb32cbe7456ac9ae6,
'jcx': 0x423cf2ca48308e49084d1fa6a13649a1,
'kcx': 0xb1b2fe1aad5251169dda21a461b14f0b,
'lcx': 0x7bd79dd168489a880e06888392217001,
'mcx': 0xdbe802663997c005410bbbca900f6cf0,
'ncx': 0xb23188e0e4bbfd2e1727eea1fe647ce7,
'ocx': 0xaa0e6dff9f2a63b0a01a22ca3fe7e6dc,
'pcx': 0xc5de03784d3023ee376276e55cd9353e,
'qcx': 0xdbbde511ac125ed32f9ec842bcf72113,
'rcx': 0x690ac99ca47423f97ec67e7cbfe15a1b,
'scx': 0xeb205fa121f0409bb86356ee84ba5f15,
'tcx': 0x98ddde66ca35468178835270933b7c4c,
'ucx': 0xed4f29c0d201b44babe6d082decbdf30,
'vcx': 0xa13c0a4090cf2fc9504438b5a31cbf73,
'wcx': 0xfd4a6a31d3e20f9068d74fcd0ac1c97a,
'xcx': 0x4ffc8a0cd651e1ce774c3e8fa7441b76,
'ycx': 0x5e6b2488b95f272b88a8f19a235f84fc,
'zcx': 0xac0881ac3355c807bfb2a197d9c77535,
'adx': 0x63ea7cd92a728838bb57180b9e1d0dd7,
'bdx': 0xcfa37dd8e4f7ba0dc948abdd2ab9c0bf,
'cdx': 0xa2e1687722d8fb1cc5da48eb50d16c12,
'ddx': 0x49d3650727f25f1831b88d97028cf8b4,
'edx': 0x8ec6a6b8d19d2b1b48870e22c91d9144,
'fdx': 0x30d21cc84e1be664238561dfc2cfc001,
'gdx': 0x7da10de0f41d6612aca62e98520dc15a,
'hdx': 0xf1dd49eab870764bcf9fa9f023b0a3c6,
'idx': 0x7f9bec28bc8902d45d905788d7aa59a1,
'jdx': 0x6f6496f7b349f42ddf75ce3065ed4c5a,
'kdx': 0xb6559ab63eb1e4d3dfcca6bc52ee2571,
'ldx': 0xf4225582c728b58fafec87c3a69c44f8,
'mdx': 0x93c3b60a8b8c46fe78ba27927b2280e7,
'ndx': 0xf3505f318b7249deb4db70fd1d60a697,
'odx': 0xb7b04354b4188ad2eb631458567c1f81,
'pdx': 0xcc3e77224aa2eca7df1bbc0264d70a34,
'qdx': 0xbf1f293badb73b7b492803859c73064c,
'rdx': 0x3cfac727c3b7a5feb2f9d11ee4fe4a70,
'sdx': 0x40ec194fe96529b811f12690860b6ddd,
'tdx': 0x7e9e051c9dae3eeb9539e6ef8c64b402,
'udx': 0xad8f377733a82deada64d02c974f291a,
'vdx': 0x203624d945e03961805bfc7a3e7681a2,
'wdx': 0xd2da5a205c44a8dc4942309f85ca1eab,
'xdx': 0xee632c464502eeac84646ef37ace30d6,
'ydx': 0x63bd5fa08361af6493e9b5ddb0666752,
'zdx': 0x0324bfc92aaf1d07808fc6151dac1c5f,
'aex': 0xdbf6fd985c90aaaed37765657b03574a,
'bex': 0xc0b6f45f0cb4ee285a37d522cda20ef2,
'cex': 0x4fccab82e74b42247e5fcf309a258a14,
'dex': 0x5dad4065c3dc25a179279b2dc4449d63,
'eex': 0x4349deefd26d15ef587a008b44612453,
'fex': 0x43304f2f9cad5f4c9552df0196b6c753,
'gex': 0xb1567c934e6195d14a5514d855460e84,
'hex': 0xb8d1b43eae73587ba56baef574709ecb,
'iex': 0x8b8188830f8b3fc0cd4692225ed68c1b,
'jex': 0x5c282f868ca77469e5c4d741118c2f5a,
'kex': 0x17cc05dc329ed081b3c26ae60527a809,
'lex': 0xb067b3d3054d8868c950e1946300a3f4,
'mex': 0xc06ea190f2cfc59429caf097d12eec57,
'nex': 0x1dd300a7572d1455f6d45db299ceceb2,
'oex': 0x1741cfc425a91887ebb978c46a9d44d4,
'pex': 0x14cb3fb7ea14d09e6f348c8ee0862ec7,
'qex': 0xb266cb38950fb6d34caf41fec04d33f3,
'rex': 0x6b4023d367b91c97f19597c4069337d3,
'sex': 0x3c3662bcb661d6de679c636744c66b62,
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'xex': 0x6a069767b54bfece9f6c73aa8a2169c5,
'yex': 0x0ebeb62447a3aa739a0d474009c69dc5,
'zex': 0xe94e9251873eb82f47a8f0e1f11b6ce3,
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'nfx': 0xe3fa3672c0c138a6635084134f28f95e,
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'oix': 0x18a60b6e2ca8a7787b55547f07d61992,
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'tix': 0x19e4341e8f693996bb968c476554b01b,
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'pjx': 0x2eb7fd23f344a6dee939540195d24256,
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'tjx': 0x7c41ac04fe0bbb33ddf18dcb4eb39927,
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'zkx': 0xd5f0b9cdf710280f7193fff6f92a0d79,
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'elx': 0x5a6fcaf6eb1c2c9f23d060750c46b23e,
'flx': 0x38c82cbcf85b0ec02fb25df7e4423965,
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'llx': 0xf4c1e1e4cf6578c2b7c5fc35628b789b,
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'olx': 0xd194561ba6304d365957b00fb5de16ec,
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'tlx': 0xd210ea223271f748be896dbce3e601f8,
'ulx': 0x6fd3afc64c5a33c18f4ed5340b8f9c4d,
'vlx': 0x213aab395a4669b464c046435979f40a,
'wlx': 0xeb37d6a162e1ec09b546dcf911e166b5,
'xlx': 0xbc5c5de5d5cbe9780143545b49686d63,
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'zlx': 0xc2bd438c10bd1cf450a9710016dce28d,
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'bmx': 0x93ece6b83bf3a781259edc0f8338ac4d,
'cmx': 0x8e16d3332f617b0b48a5ad8a7d4ae306,
'dmx': 0xbb972e95232d6094269d52fa66abae30,
'emx': 0x73ac748912ee97fa3be0fd1d4811ef74,
'fmx': 0x5d00c7492712fe9163b3de551587a6b4,
'gmx': 0xb11a3f4d01a89bfa21d0fad8a392f683,
'hmx': 0x6298095e199328615ee78b6331d681b6,
'imx': 0x0f10d265bf201b14a4ccd2ddd50dfc7b,
'jmx': 0x83fd5054f6bb72a738c9669731181a1d,
'kmx': 0xb74d6c4d32c93c8623a7dfa921014ed0,
'lmx': 0xdcc77169f507c60b9e778c37a2738560,
'mmx': 0xc1cdb8620588857c5b18f05191f45bb2,
'nmx': 0x22f039194158b8821d6229d0a7c3afd7,
'omx': 0x502394555cac957859f700ccffa39e1e,
'pmx': 0x7a6da9e5c6a257dada5185814b3d5978,
'qmx': 0x6a85137ec8f3fea6bf0f408c77a94999,
'rmx': 0x8b5ec07f1dd3868272e0e0ec45343e32,
'smx': 0x067978902b11982fb6ded827a5caa47a,
'tmx': 0xd73fbca9f19a294db16d18e225c61472,
'umx': 0x0f8077ba3b3054f9d20eddfce7a9168e,
'vmx': 0x6c096a5ac5041d94699db9c11917cc22,
'wmx': 0x5a1a279e253f2da96c2d4df9e48b5c68,
'xmx': 0xd3542ece75d3114721fa3a34198aae2a,
'ymx': 0xfccde061d79169ae0affc68141cf1bf0,
'zmx': 0x94ebb9858b5c1671ae697cea296b3ecb,
'anx': 0xa34b6578e0f9396852827ded4cc21b1d,
'bnx': 0x89bb4dd75faf414a317212f2a00dcb18,
'cnx': 0x7013e0b26ea43fcf2193909d8c6a9e87,
'dnx': 0x8fef6501c4b5114a870105baed31bc5b,
'enx': 0x7a86dd525f15d69cde4e3d8354d1b8ba,
'fnx': 0x075d2973aabcbe7437fad553fb72f16b,
'gnx': 0x5b64247a8ed1dd6a696c71ed119d4d68,
'hnx': 0xc1909ceaa7e4edfaa71e3738eaa0f553,
'inx': 0x6a8264af3edab5bfe59650facfac8e51,
'jnx': 0xe04cf9e884737172abd13a7d36f776aa,
'knx': 0x39d7487b88a9c4c4ef5c51c8c369cda0,
'lnx': 0x354317d0ca91ae2cd9042b8d9bcbcbac,
'mnx': 0x778321f03da0b9f15768c76c2603697d,
'nnx': 0x9a7d1d0aab21d53aa90fbf45e4bceae5,
'onx': 0x417d7380cdc843fae81495bb81f3526a,
'pnx': 0x8033bed4dcbc598750d36396d4666435,
'qnx': 0x8e1b9c930f43b466908802929201de04,
'rnx': 0xba436b844c3acd6747b97e9d3c0ecbbb,
'snx': 0xf7f0e1769ec57246d791d09b466b15cf,
'tnx': 0xaaae4c7bac4f7c975bd722cfc5c8a6d7,
'unx': 0xca99327a0b6703dd48809610b649023e,
'vnx': 0xaddd4817507a1ebef29ec2c17c992800,
'wnx': 0x6b723911adb349ebaa143b7ad00a2fa5,
'xnx': 0x2277d7539971bc63e14677884d5e5a2f,
'ynx': 0xfb7e34673421c70513c0a05178418a43,
'znx': 0x457d1acf0e517c253bd89e1b4a87928c,
'aox': 0x0658e5c62c93d1cfd2697eea9a3166ee,
'box': 0x34be958a921e43d813a2075297d8e862,
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'dox': 0x171994ae268f7cd4f6eec68883d9c553,
'eox': 0x70503f102c5329ae794c2a47a36bdfbb,
'fox': 0x2b95d1f09b8b66c5c43622a4d9ec9a04,
'gox': 0xa81f9017f446952845f45d037646949d,
'hox': 0x79de317fa67a3e0726bbe2fbeadbe187,
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'jox': 0xe60ecb57d890e870d544bd8d72ebdaab,
'kox': 0x39071ac019da873c22024c761ccdaaf1,
'lox': 0x54508291c59a2adb825c143f61b32f53,
'mox': 0xabd376c762478f4dd16f2142a73f2b62,
'nox': 0xa3d96aa454aacce406c1174dd38dfaea,
'oox': 0x091eb8bd65d65cbe28e131e18280ccb3,
'pox': 0xc2f92de37c193c71fbe860a599d46d6f,
'qox': 0x7922f8dcc78f72981c815b465d863c9b,
'rox': 0xd5d4172de318d6dc6c1ca52c8dcab618,
'sox': 0x792e5dce80b4067446351fc2f8f6d81d,
'tox': 0xf6372f469877925b02cf2f7d56b1efcf,
'uox': 0xd7f1945a38044a1968e9fd2a070cbf01,
'vox': 0xcd9a346bd6528176ced3ddbe105ec4d6,
'wox': 0xf6ea029ae38e766f0fd921290a28e568,
'xox': 0xda3dea58809093500b05ebd5b8463d90,
'yox': 0x645f2033d9cd703d4989df092d4ab550,
'zox': 0xe948bfa73ec1d928acb06dd38e92d157,
'apx': 0x91c7961fb393b168237a0a232b5c6f72,
'bpx': 0xf4bef6778c076d5fc137d8dc0c2ac782,
'cpx': 0x18daf02e2b22e37361830dfc2e2aef26,
'dpx': 0x5b0e5a0e1f5a6255f4f968bf4c075cd9,
'epx': 0x06ced17194d00bdb607ebcf008f2562e,
'fpx': 0x9b3eb193279bf669883408220a30442d,
'gpx': 0x9cf2423c9a86fc539b8e30b87a68a6e2,
'hpx': 0xbdd765a67fd5ae0e45fa61ab7b81b1cf,
'ipx': 0x37024af54abf6d35e2ad49a214854e65,
'jpx': 0x00c7a3e60eb5a07b2e9ddb91dfe4a89d,
'kpx': 0x3f1ac89e9172d6c15a6b87eab8234f8e,
'lpx': 0x72d53d38d4ad1798c74032008d077d5b,
'mpx': 0x501abcb9c7b818654ca219a4bcc9681b,
'npx': 0x0e27ffafe58f9c3de275946cc07d05c6,
'opx': 0xc0db13e7b2397f57ab886b5e3a0343ed,
'ppx': 0x7859e00fea28b85d0bf2a8d496db6e20,
'qpx': 0x40bda277f609fa917d28e7bf54483fa2,
'rpx': 0xdc2957cb0694f718f90aa0724c8123a8,
'spx': 0x60b301e15dffaf3f3630a5dc6d44fa2b,
'tpx': 0x43c108cadd9f8c135833f0edb0f9cd8e,
'upx': 0xc993811f4c917910dbf008283e969c09,
'vpx': 0x84ff6063a88f1185a7aa6adb51500286,
'wpx': 0x23cc412617492641fcdec98f6de11e5d,
'xpx': 0x3296cb915fd3db6df1a911b2e111f613,
'ypx': 0x1d04389137d39b1f3bf8c61e7de4491a,
'zpx': 0x6a8023fc96b239eac4d01444f9ee4334,
'aqx': 0x11215fe97be703951f3eae7f5bdb9ced,
'bqx': 0xd1b645c2ccd6417939235719f2e2858c,
'cqx': 0x7b07bd5ac4b92170c8a0eac0a8689861,
'dqx': 0xcba6c55713638a21280700a29a3560ea,
'eqx': 0xb87f65375aafd7a34cb4fc2b07c1d596,
'fqx': 0x6ec6945d13ac7024d9ff3bf3f4cc131e,
'gqx': 0xffd091f41a8af580e137eb8d737761f5,
'hqx': 0xb758850c75aae41d39bd3545cce687e1,
'iqx': 0xcbee8824304ec930172bdad63d0fd864,
'jqx': 0x48b63d44cad582a9708a64fd2735e30e,
'kqx': 0x472b1b5ff6871cec575b00087355203a,
'lqx': 0x1ebeb2a2f2ba8acfc3d27ac38524ec1b,
'mqx': 0x6075fc94d6519d097de323d7cac142d7,
'nqx': 0x513727cde2da0f4580ceebbc7df92549,
'oqx': 0x38f4539ac3569828e248a9f286592334,
'pqx': 0xa5a1854c41714e903d38aa739a5dcf97,
'qqx': 0x166fdba79f6f11ce5337371cb3fd4ea3,
'rqx': 0xae0cfb83acef2780473813e9b315950b,
'sqx': 0xb69609fc8181bed2ee8e3eba38413f41,
'tqx': 0x0c3d1230a33ae014214c9ca9aa95be15,
'uqx': 0xcee56fb691f12862be759f5d5fb9e9d0,
'vqx': 0x71f37bcfaa6617c4b6f9b73fc9f4db34,
'wqx': 0xac5ea3caa81d4cb934b2359a4ab9fba8,
'xqx': 0x6855de861d04d86563cb1497d7ef9708,
'yqx': 0xdc38d8f5ab2e2d58461c45845fd8f7a3,
'zqx': 0xe4c344fa8a130d2c199bceb967574c8e,
'arx': 0x8985c1d64f80ced7c310f668021976ca,
'brx': 0x3b956ce5f79daa52f192e0f3618b8e2e,
'crx': 0xd157ab90c1ff50493509ac8e72e27bf1,
'drx': 0xe64607f5e3656df8ba54dd700a8e8814,
'erx': 0x3aed1ec43c3e58274fa10e7bad3bf2cb,
'frx': 0x0d55a4019b90bf28360e0f15ab8c4c49,
'grx': 0x0d56cde6af3ed1d0251c15692a9a056a,
'hrx': 0x7a7372f71d838aa4b777ccd82bb9ba9b,
'irx': 0x255231992eece9e8d568c4d44d5f055e,
'jrx': 0x3cbb145354438ded10f0e10d0acc4e27,
'krx': 0xb62fe84ef4748914e564fcab8e9ff7bf,
'lrx': 0x57cc80319fdd01d42819a8e1e25e024e,
'mrx': 0xb1a0f5dd9fa30bd75c606ad054193855,
'nrx': 0xfabfe7ecc91a4a13818c0c81df6c1987,
'orx': 0x470af03c0538b5ffee7367eadf387868,
'prx': 0xf1205d26ae74eb7ebcd012fd2decfc92,
'qrx': 0xefce5d9ee4a25f9fbd1a8883e9fd4b41,
'rrx': 0xaf774aa70fb9a35051fbba315d0fbbad,
'srx': 0x3658d56fa7574b517fc08f71c8d7bbe5,
'trx': 0x40b665bd17f6959c63f6eca1a670cc21,
'urx': 0x2ddd8528bb2d27100c52421f2ed57b3a,
'vrx': 0xd394454aa12bcf966e2a345a13ae2ec8,
'wrx': 0xe87fbe7cdce7f8880b09f60cb43aef8e,
'xrx': 0x2a833a94311be2e37438d938900c4bcd,
'yrx': 0x5d20f2384c7f45d1d79a6fb864c8a754,
'zrx': 0x3bb850e33bad594e141f8542dee0ea7c,
'asx': 0x5765fafd258a5a1e87c0582a67862675,
'bsx': 0xa292d4f2973aef95723bffe87e5aafb9,
'csx': 0x75d1f0ed88d3d6c477b482fc159bf842,
'dsx': 0x522a5b309239eff866a02d89a86f8605,
'esx': 0x24fb40ee80bf1a74d98f92735ff55a19,
'fsx': 0xfea0543b0b4b9d4c240c6219de0db41c,
'gsx': 0x4efa7b6383bfe54e32f7af11b512819a,
'hsx': 0xdb91e961158112f56b9009c601f12e70,
'isx': 0xe680baa452ff5e720ba7e5b2b68508b0,
'jsx': 0x44ad1c2b2704e2710a857a54471f6125,
'ksx': 0x2d8c6c38b48a7f25a2c4ab8dc8d2de44,
'lsx': 0x03f6d3b315ca27d3a8f3859e3fb7fb01,
'msx': 0x203128b0796857258e0a44f5a59756a2,
'nsx': 0x2ebb9f0996bc7146d7cc004c7d8c20a0,
'osx': 0x8e4f88e9d6ec0106ccc73b39d369c3e8,
'psx': 0x839768c4abcf693cc09e4f4291869571,
'qsx': 0x63a77021ce2c11562e4cb7bc0d5875ab,
'rsx': 0x1b1745a437f817e954c0d2e9ca0c89ad,
'ssx': 0xac7616f7a04546cb52430908df2df4a7,
'tsx': 0x35e966ba83d5c48b2533aeaf5f39d7e5,
'usx': 0x23a3719e74cffd9d2cbad6137d9e0a1e,
'vsx': 0xe110347e6ceee912d8394bd74f01ddc2,
'wsx': 0xaf83f787e8911dea9b3bf677746ebac9,
'xsx': 0x178533e7f670efae6fa6497703b1426e,
'ysx': 0x075ab69db8cc3c35bbfea9b58e41403a,
'zsx': 0x7dd10e48efe9c17ce1ae0048587338cb,
'atx': 0xc9bc44d290788dcd5bfb1c52578c09b6,
'btx': 0x045fef463ad46008a8444730a41dbbab,
'ctx': 0xecacffffc22141f3c1c9cf77ddf0308d,
'dtx': 0xd30b44e1278e989f6ac88d11556ed6ed,
'etx': 0x17ebcdc3e55a6bd07653a4056e88f61e,
'ftx': 0x6aecac5e4af18f283d09b56e3d5dc5b8,
'gtx': 0x13e2062c0a9665d1736c3a948f94049c,
'htx': 0x3282e2ec8bf7565b0a305112b627ed16,
'itx': 0x02c090cce63b04b00603a089f8e99c8e,
'jtx': 0xce29d5eb0118e0f89a6196b0d9ba5d30,
'ktx': 0x0e18355b5eca3c17c230ab6dbab13906,
'ltx': 0xf2e85b3034e3caa4a852edfa1f3ec8b8,
'mtx': 0x9c548cc9545fedcccc807efe225cc447,
'ntx': 0xd039091f63184617605c7248899edf75,
'otx': 0x0ae8e64b998efd82996b67cd9f5ed382,
'ptx': 0xa32d1a4de51656e2fa1aff1e9a963361,
'qtx': 0xe199f0514c7676dedeea65c29cc95c90,
'rtx': 0xdbcb0d455a9db7b349f1ea3d9dc3f3f0,
'stx': 0xe01fd45bf10305e41d37459223778301,
'ttx': 0x1f8bc27ba992bc8f97d59f884d77452c,
'utx': 0x657ea5bd8d10ed21309050c359127b72,
'vtx': 0x99a3960278c068d6751a5cf6fa38c449,
'wtx': 0x40057dd251da285b4f6fa244c47a34ad,
'xtx': 0x47e450247428540aae5bb8a13759b20d,
'ytx': 0x112cf57b465e59f73cb6596f08675ea4,
'ztx': 0x5ee4576b685da05784dde41c7d4bccd6,
'aux': 0x53e5733361417423cbec0979f23b3def,
'bux': 0xa4298645c2a34a390914ae509869a377,
'cux': 0x569014996e740ed22f992b30232de2d7,
'dux': 0x81de98f70f97e7b3f0f87cfb96cd2522,
'eux': 0xa00db5fd17f7d0e295f8559ae775359f,
'fux': 0x6ab35678fd2164be79f1a261fdc6971b,
'gux': 0xdd5d08394837f966788e06df086c3ed6,
'hux': 0x9f73dd6f3a8b9ba22a653f5d0257bd6f,
'iux': 0xb14a7216c5b6de272e7b9ddc280a3ef9,
'jux': 0x0b16ba11b66b775629f979d64ee28760,
'kux': 0x87b1074243e58b6f262af5251c467dec,
'lux': 0xd877c55797fd430ce8150363cd86058f,
'mux': 0xf1e492ffa7562aa744240b8b3eb403c5,
'nux': 0x849a0a4fc24ce40d5b32b0082bff39e8,
'oux': 0x097d7730e8a0790a160b7bd4f062210f,
'pux': 0x03efaf5a568c5f0036ab0f08af9e7f42,
'qux': 0xd85b1213473c2fd7c2045020a6b9c62b,
'rux': 0xcf068ccdc13b8751bf7f38255ffa5734,
'sux': 0x455c99907225a26d1a6e3fa2ce99c9c0,
'tux': 0x5ab6e4b98bc7fb716fc07ed98fedf802,
'uux': 0x998a5f2f13bcd6b704e38c42db345d0a,
'vux': 0xe7c76aa32bf30ebfe3dfc4c96cc54e3c,
'wux': 0x5c47087089f54279c0baf49950bacfc8,
'xux': 0x62b0f1b5eccef2b5f2e55b7f13ccde6d,
'yux': 0x96b1cf0aab920815692cc3d465b6d2ef,
'zux': 0x0ceb1d918d841e921e8ba57707eb71a6,
'avx': 0x73758c37e4499f20ac5f995a144abba6,
'bvx': 0xcbe4efa0ca5519dfe144f35a8010b258,
'cvx': 0xf1a0be5294101737ccc1cb45b68fca8d,
'dvx': 0x11b5a4cc15089ee64161a64ea7ac0e66,
'evx': 0xa0480106192c124801c4d2eb94b489d1,
'fvx': 0xbf8b2f69d52d639abd893ff751aa48d3,
'gvx': 0xdffc8f0f3cabebc225ea470e3aae79c8,
'hvx': 0xf4c45137114667c9472b2cbd50fc9f50,
'ivx': 0x7f7d16cab3490b936aac9f8868902347,
'jvx': 0xba9b1667ce691639ba7f5530c599d29a,
'kvx': 0xf801e585b3ad23fa6e81f0a0ca55f298,
'lvx': 0x5b9abac90d36ca1570fab4e62a51c6f8,
'mvx': 0x80361bb04c8d5067a05806a81b71b91f,
'nvx': 0x9e632b05714bafe371c406f34ab059a6,
'ovx': 0x0390a8c1cb35df49c09cf7d700542ef1,
'pvx': 0x2d7a450856f024d87a8a40c7d1f2b9f3,
'qvx': 0x6b18c2c4b957afb245d7e2027698642c,
'rvx': 0xbe46beea9b30fd30e9f3822f423f5171,
'svx': 0x2fed65e470137eb2bf9aa3f81f55ee7a,
'tvx': 0xf1bd590c233d2ff43fad2b4e8bcb049f,
'uvx': 0x9b1da814f88fe439df0d84a6ef1dcec0,
'vvx': 0xa9735bb3f2cd850ee38d9bb934bac01f,
'wvx': 0x2fcd329e1f6d815d560071882ddb0b91,
'xvx': 0x1408eada0ced4b857adc3a1ee6401eb2,
'yvx': 0x44cb14b70c2675eaea3f19e3ec63007a,
'zvx': 0x1cfe1726f7a36f3519416c189cf55117,
'awx': 0x593f9a6f3262f172594e6436e5233922,
'bwx': 0xb07be8fbc891bb829547216ad9a88686,
'cwx': 0x3ef98185bdcf8f6de05dfb765deeb22c,
'dwx': 0x52c4b7482fd5cdd8c5f0cf86d8f2a20e,
'ewx': 0xf47cd21e90ef551bdfc17ee43487bd39,
'fwx': 0x72404ef00509991fe40c0eacd254addd,
'gwx': 0x2243e69b2b21b505adb1ca8426d8d94c,
'hwx': 0x917c631fcea4d1d98aa084b7552faf8b,
'iwx': 0xb5f41650589ffd0c96eaa76043edaf21,
'jwx': 0x3dee80a40dc1da26f35048942d1055ec,
'kwx': 0x9da310090291ae812ba913d6185255a6,
'lwx': 0x194af06ca2bb9554796a93422f54680a,
'mwx': 0xe75f5e766933fbe99872b95c02a19efa,
'nwx': 0xb1c367dcb07d9f0adf1a0c4406e513a0,
'owx': 0xb39ffdc99f6ed872ff6f457135dd921e,
'pwx': 0xbd4c10f6b0e7fe5a4b4b57b45d74a13e,
'qwx': 0xba00a47aea7070b04751eb7861aa1057,
'rwx': 0xc50f11e205b95d1471b31beb63d5301d,
'swx': 0x9b362a75d189b37e17c2999b003b2284,
'twx': 0x678dc95973fee384610610ba25152ee9,
'uwx': 0x53999e8726faa548b40866218629f6f9,
'vwx': 0x1caed5ffe4571c45a799ea2f89fa2fa5,
'wwx': 0x483a70a0179b1c6be6a9e83e22615358,
'xwx': 0x2fbdb7e3ea40303eb1b6da0335af3706,
'ywx': 0x6e7db57db1de3a90810fec8c6924be77,
'zwx': 0xe022d21a71f1325b45fdd83c66defda5,
'axx': 0xb1115f66b3714049d8753d41ef45daad,
'bxx': 0xa19b16e0b3c1e20346aaf3a61122ad74,
'cxx': 0xa91935a014854d444d2d79e6dca6c0dd,
'dxx': 0x640195b3b9c6c5ff2388acdc97b1114f,
'exx': 0x0655048ee7a0d2bf9cd4be5d9af4956f,
'fxx': 0x2131a961d37899516cb061079bd109a9,
'gxx': 0xbeeffefc7059e44843b3c35bc776feaf,
'hxx': 0xb1470b15769ab769666d754e9e465b51,
'ixx': 0x8acae71626faf1d76b2cb75b2aaae749,
'jxx': 0x45da66e3b35dac8cbc655a2aeba09225,
'kxx': 0xe44f0273448a2e624507ccdd379776d9,
'lxx': 0x73fe8f327b36932eb9d58b02ca722062,
'mxx': 0x784124f036e0ae31bb486a92bb2e9be2,
'nxx': 0x0467ce3358916561ef298d84a031feb7,
'oxx': 0x06bb8d46273815eaa7017ae91a6415c7,
'pxx': 0x95b99f318bbd5cdf45e10a17d357f32d,
'qxx': 0xbfbb5cdb4781a220d8fab375fb87f4f9,
'rxx': 0x3e19a674b9494bbe4798f29b506ff25b,
'sxx': 0x732ab54cba5f61c5d5b8722b59a3e4a1,
'txx': 0x7d17a0b95785ba7d95727ed2b8801d33,
'uxx': 0x1c81db898684a3c0b5b11b2104e6832d,
'vxx': 0x50b5392236b65929759d272f4f273f4f,
'wxx': 0xef85ad2e51dffc50c7c959df9da4efde,
'xxx': 0xf561aaf6ef0bf14d4208bb46a4ccb3ad,
'yxx': 0x9cce93846bf2dc36b80183ff0378677c,
'zxx': 0x45a5d2cb8e13de68db5da9f956138471,
'ayx': 0x89afacb06caf3135bc6d1ccb95d4dca7,
'byx': 0xfefbffcc18c15d88d4f23e36419ef58c,
'cyx': 0xab058c6d4bb7e0713ad1de921a56fd82,
'dyx': 0x6c0bd5458b8c055b6b737e5875443aa8,
'eyx': 0x377f52da49b11d3b305978bac1eb75ec,
'fyx': 0xe04dca5a89807ad13ce76f9314f3999d,
'gyx': 0x89fa00141924ca6f27a00171b3bf24f9,
'hyx': 0x6125e943f08d7272a07811cda02e5221,
'iyx': 0x5441705688a7685e78e1981ff2c84091,
'jyx': 0x623c8ffbd0a7711a0c5804e5d872858c,
'kyx': 0xe9060e1816f638c09b686157164d013b,
'lyx': 0x621baa35ab05dc1136101265d08509e5,
'myx': 0x55a9756627e2746c3eb82be416b0f4cf,
'nyx': 0xbdc499dc82257027fb3f0513dd312af2,
'oyx': 0x8c6ebeaf702fcacbfe62ba5d3f83a84b,
'pyx': 0xcf1369a5a0dac5a13981c396bbb10fbe,
'qyx': 0x995c6b9a581512e7ce484e20f6fddf82,
'ryx': 0x5a7c8cb7c35eed6d0113eb3b7178effd,
'syx': 0xaf7b5ead3ea6e1abcbfea6f8c0a64f69,
'tyx': 0xfcf2ec84bf6bbe746fc86d08611815d1,
'uyx': 0x59702e7dc004e39e9749142a70ad9243,
'vyx': 0xe0da1dc9942edb834ed180349c822ffd,
'wyx': 0x77b31159f034aebb6ee2cf074b0ac1c2,
'xyx': 0xf5d8782e1d2d51da0220da48875f4186,
'yyx': 0x9c47fc50338e71550dfd552a78223b3b,
'zyx': 0xfac97e579639be3f10db671a4462ed91,
'azx': 0x7f0a139238946e6ac43d8396926a524a,
'bzx': 0xce045d2197de66213f27f67d0602dba5,
'czx': 0x5cf965b033624583dc6f1a49fb6c77aa,
'dzx': 0xd095e757f4ff2ef7c3d85dd95f5258a4,
'ezx': 0x7a60a91a82653f8a81e90efde8e74396,
'fzx': 0x4ac71f8f9c3ae0d5f17b68e836c4f663,
'gzx': 0x293c853e72680148b80cee359b7e165b,
'hzx': 0x1a9787bdfa7bbb50141615087217f609,
'izx': 0xdff1166b7864a0790101a82150701446,
'jzx': 0x78b16769ef9af303df271009ee3c3fa0,
'kzx': 0xd3ff91995862f1bdc9733b4e017a460d,
'lzx': 0x5c8df559fbbe5156c06996be9c34397f,
'mzx': 0x964300cae83bc918da0ff3fb8bf81baf,
'nzx': 0xa7017ee91ad1dfe924d9f49e392ab221,
'ozx': 0xfef6b6dbe04fc3213e4f5555a05a406d,
'pzx': 0xc263a277c1b757eb3741a4df90eee443,
'qzx': 0xcc0f06547752496cbffd1651e7c21a88,
'rzx': 0xe739452e0546715e86369f64e7a1e8a4,
'szx': 0x5d33172fc3b6396bd597150a3e9b1b5c,
'tzx': 0x1b44b72ca965b3b246b85d459700d282,
'uzx': 0x859d0caa58235125b5ac078047812ef9,
'vzx': 0xf0df82a70c335fda8d7fffd612af130d,
'wzx': 0xece44bfb7451c6c1abd33fabed0cc93d,
'xzx': 0x8eab34801b8f05644302ecacb5eadc49,
'yzx': 0x346da78be39d39780fc18f728f51057b,
'zzx': 0xa76e5fc27899ada11b4eafd0b1a7a4fc,
'aay': 0x13ac83a762374f6882e125a992de8ab6,
'bay': 0xc77f1151c85fc070fa3bfae909beac93,
'cay': 0x285d7b6cf94d8fdc657edaa73c2f07f3,
'day': 0x628b7db04235f228d40adc671413a8c8,
'eay': 0x325beb6ab95021e5058fcaf76a862a03,
'fay': 0x5bc45960fb2067f6b569db892c5056f9,
'gay': 0x6e11873b9d9d94a44058bef5747735ce,
'hay': 0x4982b37aa4ff1d1761d9567323d2cf38,
'iay': 0x51a72b38778ff89fa5ed5c541e738ca8,
'jay': 0xbaba327d241746ee0829e7e88117d4d5,
'kay': 0xf4d4ba9f78ca4d9ec1db63ad1d7f6372,
'lay': 0xac0d0a292a3725daf32d58083e8e194c,
'may': 0x9a4b6f884971dcb4a5172876b335baab,
'nay': 0x79d3f42ed60bb21b8cbf1b9da8dd82d7,
'oay': 0xda4ef31b0e2fd6619a010511ab795aa0,
'pay': 0xb02a45a596bfb86fe2578bde75ff5444,
'qay': 0x02a20d601cb2d1e0974736afb4ff0750,
'ray': 0x070dd72385b8b2b205db53237da57200,
'say': 0xa53ff64efd169c1b4d085d6e7075c8d7,
'tay': 0x4cdbd8808a5f3366d00df62af8673717,
'uay': 0x9cdaf0fee0689e808d42cf06568e504e,
'vay': 0xe2098eae9c68fc722e83d9c91f5d05b7,
'way': 0xc83b72dd001482ce10f0b106c7a0ed0e,
'xay': 0x55fb8a18d1a5462a8e84d9909ba5765f,
'yay': 0x402acb1c3e3f37da6e1bb6cacadc315d,
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'siz': 0x446cc80718ba4274fb67e2a03f2f6a1f,
'tiz': 0xb455ede106ac55608c6b121f80f24532,
'uiz': 0xd8ee48fe314ea11983e297a974a72d12,
'viz': 0x2ffd9e5be3549120efbe4e83e5c36237,
'wiz': 0xe3b77378c20be9f63f86c33efa6f8d47,
'xiz': 0x5af27b41435daf59eaeaa87f41cd019d,
'yiz': 0xc7020e1c8939626c1b93975b3837bbe5,
'ziz': 0xbd0eff9742bda0ebdec43dc354beda17,
'ajz': 0x387c9088d822110ec13737303a6e76d4,
'bjz': 0x14f43b4cfe28f9fa3a2871c5e67dd918,
'cjz': 0xed0cadbde8be0c98e473684c96228ba7,
'djz': 0x533de8a88fbdc9f10d1fb3a6a4ad9191,
'ejz': 0xc32cbf9d43e555b5120bc0725312ca69,
'fjz': 0xc33ede9b5912da8ba5669e9b7d8467b5,
'gjz': 0xbca905f834eaffe64fd5c09cc75eff5a,
'hjz': 0x9886067e6afc86c315a37d73057113c2,
'ijz': 0x799d0b634a94c3d25f30556363acd077,
'jjz': 0xfbe812da61cfe4f25e3e49aa8a427184,
'kjz': 0x223a227dd7514542311c37ce9752d408,
'ljz': 0x8a545972cb55bee645d78fd884901415,
'mjz': 0x0129d00854f5b5d3369a5de6bcb37dda,
'njz': 0x8a691a2bd6bd70b605fd5da35a2836a9,
'ojz': 0x3d90660e99510c574e90ad7289936fbd,
'pjz': 0x40c41917994b9c6e6bd430be0c2cfb43,
'qjz': 0xb464c4cd724cdbb2c5d5453e8710c3ea,
'rjz': 0xd66c5e0b18ffc0173b844dcc678be431,
'sjz': 0x5f47859188a602594556580532e814a3,
'tjz': 0x4f71feec6b46492e9a66073466d6e1d0,
'ujz': 0xe68725ff818b08ed59afbcbd0574a07c,
'vjz': 0xd343c15c53b32a6959ce3bc2f3bf2946,
'wjz': 0xd44aa1194e230ef05f49167b3c802449,
'xjz': 0x283e55a830a1bb6414c284beee2f7a73,
'yjz': 0xfb94a06b85623a0e71c56ebd0be9ae20,
'zjz': 0x24d64d4e061b0a84afeb2b00ce97fdbf,
'akz': 0x039a4f30aabde4d235bf7f3fb7c1c29d,
'bkz': 0x14399851ac77479e5d764176d4b2dc1b,
'ckz': 0xf78d5473534d40353840b7b529bf8ab2,
'dkz': 0x9e3631f2b5e1828a8dd3c58597b6178c,
'ekz': 0xe8a981db87b4f66af4aa751584804ad8,
'fkz': 0xa9f8917d11258ab1bb49d373a86c2b9e,
'gkz': 0x3504e779096fbf7739cedc572a573068,
'hkz': 0x949bf073d6944b4503e2e4a972cf56e2,
'ikz': 0xb912360bb726967b300e6272514a083b,
'jkz': 0x9f098b8da164c13193029ba496c58d9e,
'kkz': 0x108c739d8d18d317de151d72ff71eaff,
'lkz': 0x6e0e17f98f086761d450b8daa6a479fb,
'mkz': 0x64e0146735149da979c7d86092d26a56,
'nkz': 0xdf7ead801da8ca14a200f2cb684dac7b,
'okz': 0xeeb5c6bbe182030d7626332be586b96e,
'pkz': 0xec54a37c763476f73a03b3c466dfb50e,
'qkz': 0x05b18d66c6ea0fb7c40a2030cd67a25c,
'rkz': 0x4f6ba8d78fb63ead9766f35b635caef3,
'skz': 0x950e8a347468f286d23975abc86d3342,
'tkz': 0xd46e5560ab8f8645d2eff96e8d4c629d,
'ukz': 0x652d0684bed37946d732aab058f712cd,
'vkz': 0xa372b8632255b407639b17a383cb1dcd,
'wkz': 0xba305ee3459ae3827d6e219a6de03e73,
'xkz': 0x378fed74d2dac433550118008c65cf65,
'ykz': 0x90ef7e317d0ab25016660478636c48ed,
'zkz': 0xdb009cd62df36edc598cfd424e354fa2,
'alz': 0x10b20f8fdae06de05e332cb2348d7191,
'blz': 0xaefdfc4e3e719a7b67ebc1e011e3311c,
'clz': 0xc605b43a22a580a296bd855e988245d9,
'dlz': 0x914fd1457a9eeb19863d0f5a506add98,
'elz': 0x16306add44d7d975bb4d30dcd78eec3c,
'flz': 0x12016d864b6b2889ac5a96753e06c8d5,
'glz': 0xb13df5dc4d8724714fea345f2ce3f097,
'hlz': 0x0ec58966be7b5bda3bdba1ec69824e1f,
'ilz': 0xb515e0f75a92287788b6d9803fbef472,
'jlz': 0x89de32e4fbe2163115644d6b62054ec0,
'klz': 0x8c55ac6d27623e0ce18c8dc424adfb69,
'llz': 0x7b0b1898606043cfc143ef187ff4e4f5,
'mlz': 0xe94a9425ee88f2134621013734e2a578,
'nlz': 0x9c9e82efb71845a11ba69750d9d7b885,
'olz': 0x734f365c1d78f27671fe74b63319335b,
'plz': 0x9b952dbb76b48bfa463b1a4620425792,
'qlz': 0xf3ee5979ab381b6a2bf6258db7995b24,
'rlz': 0xbbdaa538a89c6d1f9ba40a10ceac8a92,
'slz': 0x5187ef462c7aba27c9c224399383befb,
'tlz': 0xe47b55a1d82597e6704145d0e0876321,
'ulz': 0x42701cc524d0be755a75920917f42477,
'vlz': 0x17ae6e5374b5a30a592fdeaa5ba4dd35,
'wlz': 0x65d790ae0e9c696da48f8b5ef40a7029,
'xlz': 0xe4f0f0326c456a94156a69452b85548c,
'ylz': 0x4a5573ebda6ffb81fe75638acb51292e,
'zlz': 0x73ca0bd0b089c177d3134dd772ab70f4,
'amz': 0xed5c08b7c09b160ade3a65ce3f560b06,
'bmz': 0x8a6afa9061bbc074ca44d7882450dc4d,
'cmz': 0x4afcc456ccfd59d852882f7c4082fc07,
'dmz': 0x6ffdb974418ac331f39c01fc396b5818,
'emz': 0x42e94333234092b13da2cc774b01d0be,
'fmz': 0x1ec7d7393d4b8f74cc9d27eb4c4107ca,
'gmz': 0x607ce75fcb6cc318f2604dbf3d6e06fb,
'hmz': 0xc25be4e582491fe40d6cf44df293bf11,
'imz': 0x484703112ea487df4160841ff4155f1f,
'jmz': 0xac5c2983f2860c5b340151053598bf87,
'kmz': 0x1116ccc127309521faa856e7ebb84451,
'lmz': 0xd80c02fdccb67b646c72c7036613257b,
'mmz': 0xc4236deea8f339a025c7dcd0673b9a10,
'nmz': 0xb2a8c600ccc374141f46fa6e44647a92,
'omz': 0x47f0e9f9c9aabff536081ef00ddf6b0f,
'pmz': 0x789c2ed54d67167dc5bb053b6574d7b1,
'qmz': 0x1f6209011727ba13f04980e1cda1a6fa,
'rmz': 0xf4f6a1dd59a67e4ed57cc6bb620c6906,
'smz': 0xe0af197398438826bd65fa69f10bf8b7,
'tmz': 0x6dd2abc202d5c30b152e755426f9cbd1,
'umz': 0xa0d3fbf112eb3db56e901d02d3d3e7f7,
'vmz': 0xadfe1ac080f892789c4152a282c2b801,
'wmz': 0xe03bfa2e2b6572bae164df43e78094ef,
'xmz': 0x44dc86be8fe87803a4aa207d8fb1d8d9,
'ymz': 0xc8e9c5bfcbc6e1214c593a081cb06df9,
'zmz': 0x699f02d3d0016a3ac737a0ddc5957915,
'anz': 0x88e1e1ca208e047be09ac68302716180,
'bnz': 0x1a5910537952f46b065e3d15eb4aa354,
'cnz': 0x69b582cf95bf9bcc4a5158e59b8c4409,
'dnz': 0xb874ec0c54202b41e67cc8e593c5701d,
'enz': 0x0b1ad72772f54fd760bc270028761bdb,
'fnz': 0x603b751cbaf8469f0e9df89f7d945b20,
'gnz': 0x355001848362c3f9601a834510a2e673,
'hnz': 0x0df2fb5603ee55e5335646e66156753e,
'inz': 0x4aeedad75170f46f10f76c422b503c6b,
'jnz': 0x9fe20c8a40e0703d94e461364a39fc8d,
'knz': 0xf19e067c3992d9dfde51b2196a11e256,
'lnz': 0xed4326be74815b1c2f391faf46b3dff7,
'mnz': 0x1b6b3768de403a8cb04728375e2d9ab2,
'nnz': 0x26c40f3894abd4e99874580f8bf25540,
'onz': 0x32a78180be3de8e131105684b205e0c8,
'pnz': 0x2b727bea763dacd3172e9778dc489c28,
'qnz': 0x6629d19fae366c9b629148bd93ff41a8,
'rnz': 0xe7672b3a6816197aeae4aa20e34f85ff,
'snz': 0xb57185b9c1e77a26ed6629e3a59a8b4b,
'tnz': 0x47b411692f96d7328a2c73abe70c0cb3,
'unz': 0x7fbc742e1a302efc1045507d7f4f1e6d,
'vnz': 0xc61a27a1c4e8e0d88fe3a964f0511f36,
'wnz': 0xab70273980c23033882f31e9d4d967da,
'xnz': 0xfdb8d0016315f84f03a15a6e408177ab,
'ynz': 0xee90217ef2052d3804f8869ed028d662,
'znz': 0x570e0599c92c5104946757f87344ec8b,
'aoz': 0x4f243899c1ad382046f782eacbc65689,
'boz': 0xea7d3eb14d8ff4de44f68b1656cceeac,
'coz': 0xc89dd2bbdbe28c9a7a85b8d9d34e67d4,
'doz': 0x3fa8d55f3e7aafc45759e8537e4a5a90,
'eoz': 0xb36b0403ba1ec5edf3f48170fc327ea5,
'foz': 0x34bc47bcacfdb9870f3d816c2089f722,
'goz': 0x24c8511859f7162a89274a8f81cd90f4,
'hoz': 0x11070013f046b9895721c446dcab26e6,
'ioz': 0xc355412939f139c60c6cf997491101f6,
'joz': 0x778cfb1d3232a9fc71546eed750ba58a,
'koz': 0x68c7e89dd0cbf3fa7bac7ac6a433c5ee,
'loz': 0x7f94461782b714fe904f92554ee97085,
'moz': 0x89364cb625249b3d478bace02699e05d,
'noz': 0xb675818cfcefea83a15d92ef70a73177,
'ooz': 0xe10b3737c26625a98242bf64e7a21a20,
'poz': 0x66fa5d8423591a35a2106e01b679cfb6,
'qoz': 0x6166814ee3556061ed6baa84470d9fd1,
'roz': 0xbece27a540b3ed869571e6b4c73d1906,
'soz': 0xe4caba2e128479a419cc2bd992de3a35,
'toz': 0x75a2c1a1abd1a7dd1fd5845f020ebb76,
'uoz': 0x1f62ced2267f1322b33e27e91671289d,
'voz': 0x430c414abb7dfde3a92b85833b0c9973,
'woz': 0x6fdbcefe890a1f6e1b927e3687177de3,
'xoz': 0x1b8a8d1cf898f0385c6e1f34e1347ef7,
'yoz': 0x34ac9cd22e43d2b390637e622955199b,
'zoz': 0x231e3f103e359cd184d2aac708ede167,
'apz': 0xde108e19e410b0443c23eeac7dc64fb2,
'bpz': 0x9e30a08aa11ac8714af151fd5e23f852,
'cpz': 0x4125a204b27dd922b6d3c3cf31db5657,
'dpz': 0xe23a81953efd40fe002cfa7c3c19f5ea,
'epz': 0x5762394762b9461160121be08cfe87e2,
'fpz': 0x703a47206591c5a7350ae7ed83293426,
'gpz': 0x0e279a1f4d8fbb5ba16498c86ac9aa0a,
'hpz': 0x463b87f1bf40ebb9681470eac0583058,
'ipz': 0x1a87dd168df3359a6c3014fef950f5b8,
'jpz': 0xb83cc3fa63110a30ed5e8dc8dc8f8381,
'kpz': 0xbdbefb359e83e67af9c5b05e1e344e4a,
'lpz': 0xcfd47456351699c5475f556479b49462,
'mpz': 0x672aac0f8006356039d498b542587948,
'npz': 0x62a9d7654d12a805b75477b61c159734,
'opz': 0x53c2b3524e98b04d105304b7aa5dc97e,
'ppz': 0xf87b337d6e4b0cb1681bc517e4c96cf9,
'qpz': 0x2d2f5b7ce6342c71b239ce02192c5eec,
'rpz': 0x533ff2cb2055365850dad736e049d3c7,
'spz': 0x43b701a8a5613f4783c0a267868df000,
'tpz': 0xdc78909c893fa45ab76fd72a50e0cec1,
'upz': 0x00c4add07d8f48d604811356b26f9276,
'vpz': 0x4090b105ed551c18f3e262d2c6fd42e0,
'wpz': 0x4c75fb619f2abb87d5d52cfba03c28e9,
'xpz': 0x22713b48cc9003fd610b074912bddc01,
'ypz': 0x6dd2d9a12f34ca47b52a4b2f54cbbc61,
'zpz': 0x824cbcfea0527e12b5964d7b6bc78e42,
'aqz': 0x12d45c3f59d9e01a1c3d429e88baf353,
'bqz': 0x525ee2691e1f30e9cb85dc3acbb8b9aa,
'cqz': 0x15c2ebdebedb817babfcb5e9eae66f3b,
'dqz': 0x75a11a5862e0087df59e2e1be5ab01cf,
'eqz': 0x605bf78188d0a6de464ce93ff5748a9b,
'fqz': 0xb398bbd84e246f8f3a30224984972b29,
'gqz': 0xb37bbd4094466196e173b6e941920096,
'hqz': 0x9f1a197bc588858039db195f7cd3d39d,
'iqz': 0xf9044c8573d3ed7b678d16f7257d23a4,
'jqz': 0xd1b14f722029b78a78ad4054ec44ab1a,
'kqz': 0xe53def6f7c5db643ddb189d95f33ebf4,
'lqz': 0xb050151a24f52691466c9a01a85c0526,
'mqz': 0x13c51fd76b5bf77f911ffbba3d5e10ce,
'nqz': 0x2a94de605adb1b2a3ac5dc265a0047c7,
'oqz': 0x8cca5eaa4c6eabf05faef32ddbcf4721,
'pqz': 0x2ce520981bbeacbd27d3548fcd6d918c,
'qqz': 0xc2bec9b800501ce0f43cb544a01083d5,
'rqz': 0x0924120dfdd0c90f1ceb0fd149a9bc0a,
'sqz': 0x436ee6d169337426828e25697f5018e7,
'tqz': 0xf35411eba5d62b442238e82b97c93f8c,
'uqz': 0x8e191075831c7694ed1fc426ae0274be,
'vqz': 0x2ae63bc4f82f0565b478cb8fd224033d,
'wqz': 0x2ae48a98648ba65e948ddecbaf165217,
'xqz': 0x96e1dfa3b359542cd9555137d8dea07a,
'yqz': 0xcaa2ae151e97c2c57365e7c00c213e9e,
'zqz': 0xc7e08e12a26e622fb2738baf1c4510e3,
'arz': 0xf1e84df374b610f1368c7a5133b9fdc7,
'brz': 0x900ba5ef2ca667fcd92567819aed3513,
'crz': 0x99aa4ed99db60bad7065dba06e678f8e,
'drz': 0x671915e3c04c9aff65cf083418d751ac,
'erz': 0xd6c66b97e132a16476f6a627c75602df,
'frz': 0xabd7363c58659e33b77870e20456cda5,
'grz': 0x970d7fe6ef9dba5d7460797f3903ccfe,
'hrz': 0xee84a8cfb056098fcc6c98ca697237e0,
'irz': 0x6682af6afb079ec919c6e5debb0f56f0,
'jrz': 0x941f4088d5bfaacd31551e2f3b562860,
'krz': 0xbabd5140bdf725562287069f365ff139,
'lrz': 0xf6c19cb1d873b33b48645d52278ecdf2,
'mrz': 0x8205c0ed66bf4060f8cdaa7a744a3c4b,
'nrz': 0x1854cee7a533d7bbad20471ec72d1cf5,
'orz': 0x21d6e79b3b2a0f9ad0373441e4f4a03e,
'prz': 0x76e02bf61ffd24fca7b05bbb1b35f1b3,
'qrz': 0x209410291e0addb5991818cbfc516e32,
'rrz': 0xd2c7b39409696ce5cd5c94e0884947e5,
'srz': 0xdf0df5670d4e4455531dc0095f7b5439,
'trz': 0xbfb030d858c745b0a72340de2ae7f1ad,
'urz': 0x878940bb3d1462616a45f5508f0630a2,
'vrz': 0xe8d112a5eabae0347d12b99a66286e11,
'wrz': 0x127102bb71b2283d78b2987f83df9187,
'xrz': 0x59c3bc6cc6566132696a588edbb1f359,
'yrz': 0x8f39db8c9ff18041970a148ca356efde,
'zrz': 0x41c4f4c22f5665e9347b5844392793bf,
'asz': 0xc0c1534f82f592afcd75a9b404e871ca,
'bsz': 0x0b334882956d5ee52a55b6cd2a714c1d,
'csz': 0xc15c3ff6a825f0b9773d8595d4bf9ffb,
'dsz': 0xcbf27e91efc647c0c94a0dc6432a22f9,
'esz': 0x6b83b0879ce85f29317985e1cc5c1d6d,
'fsz': 0x459f128445be8d6254334b3b894fc0d2,
'gsz': 0x3638aa49dc633892e7634f6ba6b5b317,
'hsz': 0x071a5dcfd09db850f1ff95131acc5f2c,
'isz': 0x49960fd911110a40c4cfec43e2e7603b,
'jsz': 0x9605cf916f3548ebcd45202e766725ce,
'ksz': 0xf24d02244192b7aa4a9988bf2cd09e72,
'lsz': 0xbd99bfdba45c50df680c85c7cd616aab,
'msz': 0xfb06d6f4135e4ef214f461c3b811de65,
'nsz': 0x83ad537246c68235c2ff05142fd9c91c,
'osz': 0xb247ddaf90f1435263171dc6b9976114,
'psz': 0x85d0697230936ecae2ca76b272f95e57,
'qsz': 0x5cb47c8f0af43c450043d1c873cbc170,
'rsz': 0x611bdbc1a25040d562a09384da155884,
'ssz': 0x8a50f1a98073407d925b82daf17cfb5d,
'tsz': 0x22ecf1a05ac07468891486d133da4379,
'usz': 0xbae58c8334de9da6e0d3d3e15187c727,
'vsz': 0x207fa7c2ee90b3b84f3d004c3cb3e70a,
'wsz': 0x95602600800c1aedae854321e7be66f0,
'xsz': 0xc84c5b65effa7201e43aabd604036ebe,
'ysz': 0x1993bd635c26887e4da900235cf39253,
'zsz': 0x13c773275f403aa44ef4c5251203bd94,
'atz': 0x50f1976039925df101e77acd00c679a3,
'btz': 0x28d00b62bdd2bd6e1563c9e11ada1543,
'ctz': 0xa4dc9f959e34fabab1728fd1a730f10d,
'dtz': 0x74b3490b5be51a1e110baaf044e35c93,
'etz': 0x2fa53c5561a78e9b9464c34201989f61,
'ftz': 0x8f6e444f4ee7095d2e79c529448eec95,
'gtz': 0xe6e99cf00281f12a0cd9b6d048f397ab,
'htz': 0xfc1ca4c7a5912cecec75331db77dc6a1,
'itz': 0xc0259905547c0713dad69edeafe8bbe5,
'jtz': 0x872bde93e112f16390aa50d66378b2f1,
'ktz': 0xc5f158daeb96a1c71aae3e088aa3b77a,
'ltz': 0x7d112fb3f6f0ef8459558056dd2fc36e,
'mtz': 0xa0286259168282d393c114d826559d96,
'ntz': 0x9ba89b4e17549270f97c74bb99d10a19,
'otz': 0x0fc58384e21e3f5717f366dd24fa16d8,
'ptz': 0xcf205a7dd510bc810a21cf1b88c62fa5,
'qtz': 0x4f3c526b58219f04f3a45febfaddf033,
'rtz': 0xcf5c5662f49f76f9bbd776d77935b422,
'stz': 0xbc2b883b4c051daf62598ea6024d38fc,
'ttz': 0xb4624c6107fce7d88d5fc3ba8ddc6e3f,
'utz': 0xa52955d8af64da1b86fafe54eaf3f0bd,
'vtz': 0x32f9192f7031d04e053b92ed0253947e,
'wtz': 0x3411106a83f07254cfde4e3106ea5d8f,
'xtz': 0x4bb540a2be0454967ac2843c1052d35d,
'ytz': 0x174de676895fbb5239d3a12b95a3a0fb,
'ztz': 0x436370082b257ecffd91d04804f86a6f,
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'cuz': 0x99d0ba8fd18c1d9a0dfdf8fa81825823,
'duz': 0x72b0c525c8a39b8fa8ecd2ac6ac9ea08,
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'huz': 0x99c66c078ab6fb864fe2ffa560f6b7ad,
'iuz': 0x479f180550a4951325185891c123a3a4,
'juz': 0xd966546e81ea0adffedacaaa37c0481a,
'kuz': 0x9313b0984e3cf8e0aa706f56500e8f2a,
'luz': 0x4a45763fb8832658b8cfdf27bba1bd77,
'muz': 0x9c05417ff0f70e6b0969416cee26869e,
'nuz': 0x707023216516d0d926ac0ee090fce510,
'ouz': 0x0d39cd8d699bd48caf2c9e5082ea4904,
'puz': 0x35a94e6d4f4cdbcd7cf88f257b1d43f0,
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'suz': 0xcae5d80ce5266d1b3ecccd796492e45a,
'tuz': 0x9a770bdd67f9510c1e4dc1c0bc116d80,
'uuz': 0xc41bbc6fa1c37b9e37cda8e140018ab1,
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'wuz': 0xcac5733ece00e74128c89886c71c6fa0,
'xuz': 0x9e0a15dc928e1a94e15628dffe678780,
'yuz': 0xb7eeaf465326a6205f22408c7c42620e,
'zuz': 0x9eab576f6a65202968559d1e0dcb87a5,
'avz': 0xdcbac74094dbb4de5af7922971c18800,
'bvz': 0xc38ea4ed4a7d4f514958a59353c3f85c,
'cvz': 0x99e1bf969458c7c20e6d139f11918154,
'dvz': 0xce7074d5836fa4c266aa07970b672a43,
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'gvz': 0x5a17fa8848fe834aac24e55d2dd25535,
'hvz': 0x7ecb9dc0aac08868a6a72b92f50ed50b,
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'mvz': 0xa66591c98975b9cd878215d63069a80e,
'nvz': 0x4e9c79ad85db1e9f65d6e1916d000744,
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'qvz': 0x8d26e54326722eaca1a2cb0fd36cfb5e,
'rvz': 0xb51c3fe54861f598d970579e2dbdcb57,
'svz': 0x71286c93193ae97dd0a1f36e0da818f9,
'tvz': 0x07893fc7043bcd160974cfab408c1577,
'uvz': 0xad1dac8b635783339ad9029bf04ca3a0,
'vvz': 0x9b6e71acf91c71616eb275b1654c1f2d,
'wvz': 0xc09fa5e953f80cb3b1f56f27903078f2,
'xvz': 0xca686f80bf72389ab73fbc1d826b36a5,
'yvz': 0x1e10e1df6d0887c8c026cdf3f2c18905,
'zvz': 0x29e750d2b950f3b8e7e03a83e2c94c75,
'awz': 0x93a5a5354896a5eb7203ed0d704db2c5,
'bwz': 0xa21110dcdb82c52f988d3d9fcb5856ce,
'cwz': 0x5e07ba7fdedbd9a73ad82f8dd5f4398b,
'dwz': 0x3657f30781d07cd157bf2c0ea9679620,
'ewz': 0xc8001eb22207d287fd884fa5829e9dd8,
'fwz': 0x35d542786265a378392ed3c3ef39dc0b,
'gwz': 0x5bbecc0fe04e26940971a5efafac3b76,
'hwz': 0x8a1491fb01d6af8e9afcf7cb6c81f3dc,
'iwz': 0xa1975c24be2b6175b77c1219dece7591,
'jwz': 0x68c259d41b4484ae3391842f3067c5d0,
'kwz': 0x7e41ca0b45a072316edc7f534173559e,
'lwz': 0x2dd33aadc2e418848117df928876e353,
'mwz': 0x005f9c095cd48af43aa06c732f04c2e7,
'nwz': 0x6345746ba51b33784aa95d8e368e413e,
'owz': 0x3a7d6e1be0024d62d1d506a09787b651,
'pwz': 0x5bbd84002c50ad624fb8f9dbae1f48d2,
'qwz': 0x5f558f78854c47fa9f2b8bcaf75f6ed5,
'rwz': 0xc307e48024f3117e74362bbde661fd10,
'swz': 0xd1b2cbe43fd30f51f2488498287164f6,
'twz': 0x0a41a735fc23f3d167f6ac661eedf3f0,
'uwz': 0x9e06be76ed192a7f12190772563d2394,
'vwz': 0x4b2f587984273e63584cc71f4132b68e,
'wwz': 0xe235ac07af7a969a52bec0985f6a9f85,
'xwz': 0xe1a3accb868ce9be44e30e0c2ede9f76,
'ywz': 0x66876c06ee6396c5d357a24081cba693,
'zwz': 0xef05140c678b1e1046d9a8d0b24a5888,
'axz': 0xf0fbf4f5b5a12a047db2b6ea3bdc607c,
'bxz': 0x95ac3fba37f92ccde74634516b07f54c,
'cxz': 0x26178767bb0eb3bcb547bbc1b9560d03,
'dxz': 0x37f330ca440df8a4f33a31aa3862e721,
'exz': 0xc959e91e58534db253188b6b62d314b6,
'fxz': 0xd18495736a138091a97cba56e00ee547,
'gxz': 0x65f043e5c4c0e5c2c7f6e84fcf7f2fbe,
'hxz': 0x9f653e2b24ed7563f519c394636c33c6,
'ixz': 0xfb4bd0cd233481be4a7c5533a10c1940,
'jxz': 0x211741bafdae1c96966a54d7615f74a3,
'kxz': 0xbc7a683ebd1fe11dd05c8b4e06229ea6,
'lxz': 0x5d52a67facac487d8aa43f29de250510,
'mxz': 0xb963eebb752207ed139b5a0ae03a5cb9,
'nxz': 0x12b4534027611c9d247c56b106ce4ab3,
'oxz': 0x9ca6eecbe0e28fb2c6f8ee627a632c4a,
'pxz': 0xd4f80a6c16f13a45201877036a09b472,
'qxz': 0x498e89aa2f85b83ba9340555a13b96ec,
'rxz': 0xd4fa691b07b63de0e73e8b9148056064,
'sxz': 0x8cf9c943547923e7e7712b0a0d2ba7a5,
'txz': 0x2f6655471eadad727e38aba618de1809,
'uxz': 0x162ac222acb80300849b3d4f3b033bd2,
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'wxz': 0x4d3c1c3bd16ddd5af720b22937106129,
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'dyz': 0x1fdddf3cf8b414c07cd99eb7b6c85af6,
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'myz': 0x168325a69e6d7ed296b89358d7f9ba38,
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'syz': 0xd8e2f78451cf9a89aec662db0657547f,
'tyz': 0xe1e4c0a32e30649a54068fdded95b8d6,
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'dzz': 0x7491e82795267307ad3c1810ca303f16,
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'mzz': 0x60e2566cfad3e4438f6c4a02cf676d82,
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'rzz': 0x55fa308a6cea33bd1128965b90c0302b,
'szz': 0xf94b1022296fd60bd1a8600bcd26dcd4,
'tzz': 0x15fdcedad0e275ad1982b21445dc1321,
'uzz': 0x20075ad3ea957ede1d2fbcd317e7592b,
'vzz': 0x9f50ac27ae752e1131a3012077e853c0,
'wzz': 0xaeea8760b9fe63eb9c65874e1d75719c,
'xzz': 0x8436a47abeec9845cdbd06a116cf936f,
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'zzz': 0xf3abb86bd34cf4d52698f14c0da1dc60,
}
| 42.953941 | 42 | 0.86033 |
3a3a8e1dc760993c607735e7aad62a78c98bba42 | 1,583 | py | Python | src/pretalx/common/console.py | Hydro2shine/sprout | 7dfa5e9fa0a7ef9157517ad0752e393599053873 | [
"Apache-2.0"
] | null | null | null | src/pretalx/common/console.py | Hydro2shine/sprout | 7dfa5e9fa0a7ef9157517ad0752e393599053873 | [
"Apache-2.0"
] | null | null | null | src/pretalx/common/console.py | Hydro2shine/sprout | 7dfa5e9fa0a7ef9157517ad0752e393599053873 | [
"Apache-2.0"
] | null | null | null | BOLD = '\033[1m'
RESET = '\033[0m'
UD = '│'
LR = '─'
SEPARATORS = {
(False, True, True, False): '┬',
(True, False, False, True): '┴',
(False, False, True, True): '┤',
(True, True, False, False): '├',
(False, True, False, True): '┼',
(True, False, True, False): '┼',
}
def get_seperator(*args):
"""(upright, downright, downleft, upleft): Tuple[bool] -> seperator: str"""
if sum(args) >= 3:
return '┼'
elif sum(args) == 1:
return ('└', '┌', '┐', '┘')[args.index(True)]
return SEPARATORS[tuple(args)]
def start_box(size):
try:
print('┏' + '━' * size + '┓')
except (UnicodeDecodeError, UnicodeEncodeError):
print('-' * (size + 2))
def end_box(size):
try:
print('┗' + '━' * size + '┛')
except (UnicodeDecodeError, UnicodeEncodeError):
print('-' * (size + 2))
def print_line(string, box=False, bold=False, color=None, size=None):
text_length = len(string)
alt_string = string
if bold:
string = f'{BOLD}{string}{RESET}'
if color:
string = f'{color}{string}{RESET}'
if box:
if size:
if text_length + 2 < size:
string += ' ' * (size - text_length - 2)
alt_string += ' ' * (size - text_length - 2)
string = f'┃ {string} ┃'
alt_string = f'| {string} |'
try:
print(string)
except (UnicodeDecodeError, UnicodeEncodeError):
try:
print(alt_string)
except (UnicodeDecodeError, UnicodeEncodeError):
print('unprintable setting')
| 26.830508 | 79 | 0.527479 |
8f93260ba974a52d2ed0c7cdbbb8b3d91bf9d83f | 4,206 | py | Python | resources/lib/settings.py | kolbenhans/script.kodi.hue.ambilight | 821f9aa53c3e89f171ac0d0675424776c6a51d06 | [
"WTFPL"
] | 172 | 2016-06-17T08:14:00.000Z | 2021-11-28T01:19:30.000Z | resources/lib/settings.py | kolbenhans/script.kodi.hue.ambilight | 821f9aa53c3e89f171ac0d0675424776c6a51d06 | [
"WTFPL"
] | 119 | 2016-06-14T17:09:02.000Z | 2021-12-27T22:08:41.000Z | resources/lib/settings.py | kolbenhans/script.kodi.hue.ambilight | 821f9aa53c3e89f171ac0d0675424776c6a51d06 | [
"WTFPL"
] | 73 | 2016-06-15T08:58:06.000Z | 2021-06-18T07:44:21.000Z | import sys
import xbmcaddon
__addon__ = sys.modules["__main__"].__addon__
class Settings():
def __init__(self, *args, **kwargs):
self.readxml()
def readxml(self):
global __addon__
__addon__ = xbmcaddon.Addon()
self.bridge_ip = __addon__.getSetting("bridge_ip")
self.bridge_user = __addon__.getSetting("bridge_user")
self.connected = __addon__.getSetting("connected") == "true"
self.ambilight_group = __addon__.getSetting("ambilight_group")
self.theater_group = __addon__.getSetting("theater_group")
self.theater_subgroup = __addon__.getSetting("theater_subgroup")
self.static_group = __addon__.getSetting("static_group")
self.dim_time = int(float(__addon__.getSetting("dim_time"))*10)
self.proportional_dim_time = __addon__.getSetting("proportional_dim_time") == "true"
self.theater_start_bri_override = __addon__.getSetting("theater_start_bri_override") == "true"
self.theater_start_bri = int(__addon__.getSetting("theater_start_bri").split(".")[0])
self.theater_pause_dim_subgroup = __addon__.getSetting("theater_pause_dim_subgroup") == "true"
self.theater_pause_bri_override = __addon__.getSetting("theater_pause_bri_override") == "true"
self.theater_pause_bri = int(__addon__.getSetting("theater_pause_bri").split(".")[0])
self.theater_stop_bri_override = __addon__.getSetting("theater_stop_bri_override") == "true"
self.theater_stop_bri = int(__addon__.getSetting("theater_stop_bri").split(".")[0])
self.ambilight_min = int(__addon__.getSetting("ambilight_min").split(".")[0])
self.ambilight_max = int(__addon__.getSetting("ambilight_max").split(".")[0])
self.ambilight_threshold_value = int(__addon__.getSetting("ambilight_threshold_value").split(".")[0])
self.ambilight_threshold_saturation = int(__addon__.getSetting("ambilight_threshold_saturation").split(".")[0])
self.color_bias = int(__addon__.getSetting("color_bias").split(".")[0])
self.ambilight_start_dim_enable = __addon__.getSetting("ambilight_start_dim_enable") == "true"
self.ambilight_start_dim_override = __addon__.getSetting("ambilight_start_dim_override") == "true"
self.ambilight_start_dim = int(__addon__.getSetting("ambilight_start_dim").split(".")[0])
self.ambilight_pause_bri_override = __addon__.getSetting("ambilight_pause_bri_override") == "true"
self.ambilight_pause_bri = int(__addon__.getSetting("ambilight_pause_bri").split(".")[0])
self.ambilight_stop_bri_override = __addon__.getSetting("ambilight_stop_bri_override") == "true"
self.ambilight_stop_bri = int(__addon__.getSetting("ambilight_stop_bri").split(".")[0])
self.static_start_random = __addon__.getSetting("static_start_random") == "true"
self.static_start_hue_override = __addon__.getSetting("static_start_hue_override") == "true"
self.static_start_hue = int(__addon__.getSetting("static_start_hue").split(".")[0])
self.static_start_sat_override = __addon__.getSetting("static_start_sat_override") == "true"
self.static_start_sat = int(__addon__.getSetting("static_start_sat").split(".")[0])
self.static_start_bri_override = __addon__.getSetting("static_start_bri_override") == "true"
self.static_start_bri = int(__addon__.getSetting("static_start_bri").split(".")[0])
self.misc_initialflash = __addon__.getSetting("misc_initialflash") == "true"
self.misc_disableshort = __addon__.getSetting("misc_disableshort") == "true"
self.misc_disableshort_threshold = int(__addon__.getSetting("misc_disableshort_threshold"))
self.force_light_on = __addon__.getSetting("force_light_on") == "true"
if self.ambilight_min > self.ambilight_max:
self.update(ambilight_min=self.ambilight_max)
def update(self, **kwargs):
self.__dict__.update(**kwargs)
for k, v in kwargs.items():
__addon__.setSetting(k, str(v))
def __repr__(self):
return '<Settings\n{}\n>'.format('\n'.join(['{}={}'.format(key, value) for key, value in self.__dict__.items()]))
| 53.240506 | 121 | 0.711365 |
3006b39b2d334767a28822e63cb4938432c237a4 | 11,800 | py | Python | src/status.py | Yasmojam/DoYouHaveTheGuts2019 | dae9c1db27707f3a244845ccc282373a64ad7248 | [
"MIT"
] | null | null | null | src/status.py | Yasmojam/DoYouHaveTheGuts2019 | dae9c1db27707f3a244845ccc282373a64ad7248 | [
"MIT"
] | 1 | 2019-10-20T14:59:29.000Z | 2019-10-20T14:59:29.000Z | src/status.py | Yasmojam/DoYouHaveTheGuts2019 | dae9c1db27707f3a244845ccc282373a64ad7248 | [
"MIT"
] | null | null | null | from server import ServerMessageTypes, ObjectUpdate, Message
from enemy import Enemy
from typing import List
from collectable import COLLECTABLE_TYPES, Collectable
from time import time
from utils import closest_point, calculate_distance, count_within_radius, count_not_within_radius
GOAL_UNSAFE_TIME = 20
BLUE_GOAL = (0, 100)
RED_GOAL = (0, -100)
class Status:
def __init__(self, teamname: str, name: str, role, on_minute_change) -> None:
self.teamname = teamname
self.name = name
self.id = None
self.role = role
self.overridden_role = None
self.keep_override = None
self.position = (0, 0)
self.heading = 0
self.turret_heading = 0
self.max_health = 3
self.health = self.max_health
self.max_ammo = 10
self.ammo = self.max_health
self.points = 0
self.banked_points = 0
self.banked_before_this_minute = 0
self.on_minute_change = on_minute_change
self.minute = 0
self.start_time = time()
self.other_tanks = dict()
self.collectables = dict()
self.snitch_available = False
self.snitch_carrier_id = None
self.blue_goal_camped_recently = False
self.red_goal_camped_recently = False
self.blue_goal_camped_since = 0
self.red_goal_camped_since = 0
def update(self, message: Message) -> None:
""" Process an incoming server message """
if message.type == ServerMessageTypes.OBJECTUPDATE:
payload = ObjectUpdate(message.payload)
if payload.type == "Tank":
if payload.name == self.name:
self.update_self(payload)
else:
self.update_enemy(payload)
elif payload.type in COLLECTABLE_TYPES:
self.update_collectable(payload)
if payload.type == "Snitch":
self.snitch_carrier_id = None
elif message.type == ServerMessageTypes.KILL:
self.kill()
elif message.type == ServerMessageTypes.ENTEREDGOAL:
self.reached_goal()
elif message.type == ServerMessageTypes.SNITCHAPPEARED:
self.snitch_spawned()
elif message.type == ServerMessageTypes.SNITCHPICKUP:
if message.payload["Id"] == self.id:
self.points += 5
self.snitch_carrier_id = None
else:
self.snitch_carrier_id = message.payload["Id"]
elif message.type == ServerMessageTypes.DESTROYED:
self.respawn()
def kill(self) -> None:
""" Killed an enemy """
self.points += 1
def reached_goal(self) -> None:
self.banked_points += self.points
self.points = 0
def snitch_spawned(self) -> None:
self.snitch_available = True
def respawn(self) -> None:
""" We died :( so reset our stats """
self.points = 0
self.health = self.max_health
self.ammo = self.max_health
def update_self(self, payload: ObjectUpdate) -> None:
"""
Update status based on an ObjectUpdate for our own tank
"""
self.position = (payload.x, payload.y)
self.id = payload.id
self.heading = payload.heading
self.turret_heading = payload.turret_heading
self.health = payload.health
self.ammo = payload.ammo
def update_enemy(self, payload: ObjectUpdate) -> None:
if payload.id not in self.other_tanks:
self.other_tanks[payload.id] = Enemy(payload)
else:
self.other_tanks[payload.id].update(payload)
def update_collectable(self, payload: ObjectUpdate) -> None:
if payload.id not in self.collectables:
self.collectables[payload.id] = Collectable(payload)
else:
self.collectables[payload.id].update(payload)
def find_nearest_ammo(self) -> Collectable:
recently_seen = self.recently_seen_collectables(5, typ="AmmoPickup")
if len(recently_seen) == 0:
return None
positions = list(map(lambda t: t.position, recently_seen))
i = positions.index(closest_point(self.position, positions))
return recently_seen[i]
def find_nearest_health(self) -> Collectable:
recently_seen = self.recently_seen_collectables(5, typ="HealthPickup")
if len(recently_seen) == 0:
return None
positions = list(map(lambda t: t.position, recently_seen))
i = positions.index(closest_point(self.position, positions))
return recently_seen[i]
def find_best_enemy_target(self) -> Enemy:
def score(enemy):
if enemy is None:
return 1 # don't target
dist_score = calculate_distance(self.position, enemy.current_pos()) / 100
hp_score = enemy.health * 0.1
return dist_score * hp_score
snitch_carrier = self.find_snitch_carrier()
if snitch_carrier:
return snitch_carrier
lowest = self.find_lowest_enemy()
lowest_friendly = self.find_lowest_friendly()
nearest = self.find_nearest_enemy()
possible_targets = [lowest, lowest_friendly, nearest]
scores = list(map(score, possible_targets))
lowest_score = min(scores)
for i, target in enumerate(possible_targets):
if scores[i] == lowest_score:
return target
return lowest
def find_snitch_carrier(self) -> Enemy:
if self.snitch_carrier_id is None:
return None
recently_seen = self.recently_seen_enemies(3)
for tank in recently_seen:
if tank.id == self.snitch_carrier_id:
return tank
return None
def find_nearest_enemy(self) -> Enemy:
""" Find the nearest enemy tank """
recently_seen = self.recently_seen_enemies(3)
if len(recently_seen) == 0:
return None
positions = list(map(lambda t: t.current_pos(), recently_seen))
i = positions.index(closest_point(self.position, positions))
return recently_seen[i]
def find_lowest_enemy(self) -> Enemy:
""" Find the lowest enemy tank """
recently_seen = self.recently_seen_enemies(5)
if len(recently_seen) == 0:
return None
healths = list(map(lambda t: t.health, recently_seen))
healths = list(filter(lambda h: h != 0, healths))
if len(healths) == 0:
return None
i = healths.index(min(healths))
return recently_seen[i]
def find_lowest_friendly(self) -> Enemy:
""" Find the lowest friendly tank """
recently_seen = self.recently_seen_friendlies(5)
if len(recently_seen) == 0:
return None
healths = list(map(lambda t: t.health, recently_seen))
healths = list(filter(lambda h: h != 0, healths))
if len(healths) == 0:
return None
i = healths.index(min(healths))
if healths[i] == 1:
return recently_seen[i] if recently_seen[i].id != self.snitch_carrier_id else None
return None
def find_snitch(self) -> Collectable:
""" Find the snitch """
if not self.snitch_available:
return None
recently_seen = self.recently_seen_collectables(5, typ="Snitch")
if len(recently_seen) == 0:
return None
return recently_seen[0]
def recently_seen_all(self, seconds) -> List[Enemy]:
current_time = time()
recently_seen = []
for tank in self.other_tanks.values():
if current_time - tank.last_seen < seconds:
recently_seen.append(tank)
return recently_seen
def recently_seen_enemies(self, seconds) -> List[Enemy]:
current_time = time()
recently_seen = []
for tank in self.other_tanks.values():
if current_time - tank.last_seen < seconds:
tank_team = tank.name.split(":")[0]
if tank_team != self.teamname:
recently_seen.append(tank)
return recently_seen
def recently_seen_friendlies(self, seconds) -> List[Enemy]:
current_time = time()
recently_seen = []
for tank in self.other_tanks.values():
if current_time - tank.last_seen < seconds:
tank_team = tank.name.split(":")[0]
if tank_team == self.teamname:
recently_seen.append(tank)
return recently_seen
def recently_seen_collectables(self, seconds, typ) -> List[Collectable]:
recently_seen = []
for collectable_id, collectable in self.collectables.items():
if collectable.time_since_last() < seconds and collectable.type == typ:
recently_seen.append(collectable)
return recently_seen
def current_minute(self) -> int:
return self.seconds_since_start() // 60
def seconds_since_start(self) -> float:
return time() - self.start_time
def update_minute(self) -> None:
if self.current_minute() > self.minute:
self.on_minute_change()
self.banked_before_this_minute = self.banked_points
self.minute = self.current_minute()
def banked_this_minute(self) -> int:
return self.banked_points - self.banked_before_this_minute
def check_blue_goal_unsafe(self) -> bool:
if self.area_is_unsafe(BLUE_GOAL):
self.blue_goal_camped_recently = True
self.blue_goal_camped_since = time()
elif time() - self.blue_goal_camped_recently > GOAL_UNSAFE_TIME:
self.blue_goal_camped_recently = False
return self.blue_goal_camped_recently
def check_red_goal_unsafe(self) -> bool:
if self.area_is_unsafe(RED_GOAL):
self.red_goal_camped_recently = True
self.red_goal_camped_since = time()
elif time() - self.red_goal_camped_since > GOAL_UNSAFE_TIME:
self.red_goal_camped_recently = False
return self.red_goal_camped_recently
def check_blue_goal_safe_again(self) -> bool:
safe_again = self.area_is_safe(BLUE_GOAL)
if safe_again:
self.blue_goal_camped_recently = False
return safe_again
def check_red_goal_safe_again(self) -> bool:
safe_again = self.area_is_safe(RED_GOAL)
if safe_again:
self.red_goal_camped_recently = False
return safe_again
def area_is_unsafe(self, point) -> bool:
enemies = self.recently_seen_enemies(5)
positions = list(map(lambda e: e.current_pos(), enemies))
number_in_area = count_within_radius(positions, point, 40)
return number_in_area >= 3
def area_is_safe(self, point) -> bool:
enemies = self.recently_seen_enemies(5)
positions = list(map(lambda e: e.current_pos(), enemies))
number_out_area = count_not_within_radius(positions, point, 40)
return number_out_area >= 2
def override_role(self, role, keep_override_condition) -> None:
if not self.overridden_role:
self.overridden_role = self.role
self.role = role
self.keep_override = keep_override_condition
def finished_override(self) -> bool:
if not self.keep_override:
return False
return self.keep_override()
def remove_override(self):
if self.overridden_role:
self.role = self.overridden_role
self.overridden_role = None
def __str__(self):
return (
f"<{self.name}> Position: {self.position} Heading: {self.heading} "
f"Turret: {self.turret_heading} Health: {self.health} Ammo: {self.ammo}"
)
| 37.341772 | 97 | 0.622797 |
f8d12eadf1026ef5ccdb0e57ddd7cb0c1c6a7ef7 | 827 | py | Python | dataset/check_missing_files.py | fubiye/edgar-abs-kg | 3973059c7b1cdaab8a4e857a43c702ac0be7e725 | [
"MIT"
] | null | null | null | dataset/check_missing_files.py | fubiye/edgar-abs-kg | 3973059c7b1cdaab8a4e857a43c702ac0be7e725 | [
"MIT"
] | null | null | null | dataset/check_missing_files.py | fubiye/edgar-abs-kg | 3973059c7b1cdaab8a4e857a43c702ac0be7e725 | [
"MIT"
] | null | null | null | import os
import pandas as pd
BASE_DIR = r'D:\data\edgar\sampling\Archives\edgar\data'
ABS_DATA = r'D:\data\edgar\edgar_abs_universal.csv'
def get_ciks():
ciks = set()
for cik in os.listdir(BASE_DIR):
# full_cik = cik.rjust(10,'0')
# ciks.add(full_cik)
ciks.add(int(cik))
return ciks
if __name__ == '__main__':
print("Start checking files")
ciks = get_ciks()
df = pd.read_csv(ABS_DATA)
df['is_cmbs'] = df['cik'].apply(lambda cik: True if cik in ciks else False)
df = df[df['is_cmbs'] == True]
df['is_html'] = df['doc_link'].apply(lambda link: True if link[-3:] == 'htm' else False)
df = df[df['is_html'] == True]
docs = list(df['doc_link'])
with open('mbs_docs.txt','w') as f:
for doc in docs:
f.write(doc)
f.write('\n') | 30.62963 | 92 | 0.59734 |
5ecfe8e1ccf629d3e84c7be1381a03f7ce74d1b2 | 3,387 | py | Python | configure.py | mjansson/memory_lib | 41687d0713a0c2a7901ccb6fbad7e588d531fe75 | [
"Unlicense"
] | 5 | 2020-05-08T12:32:59.000Z | 2022-03-30T18:09:32.000Z | configure.py | mjansson/memory_lib | 41687d0713a0c2a7901ccb6fbad7e588d531fe75 | [
"Unlicense"
] | null | null | null | configure.py | mjansson/memory_lib | 41687d0713a0c2a7901ccb6fbad7e588d531fe75 | [
"Unlicense"
] | 1 | 2020-06-14T14:46:25.000Z | 2020-06-14T14:46:25.000Z | #!/usr/bin/env python
"""Ninja build configurator for memory library"""
import sys
import os
sys.path.insert(0, os.path.join('build', 'ninja'))
import generator
dependlibs = ['memory', 'foundation']
generator = generator.Generator(project = 'memory', dependlibs = dependlibs, variables = [('bundleidentifier', 'com.rampantpixels.memory.$(binname)')])
target = generator.target
writer = generator.writer
toolchain = generator.toolchain
extrasources = []
memory_sources = ['memory.c', 'rpmalloc.c', 'version.c']
memory_lib = generator.lib(module = 'memory', sources = memory_sources + extrasources)
#if not target.is_ios() and not target.is_android() and not target.is_tizen():
# configs = [config for config in toolchain.configs if config not in ['profile', 'deploy']]
# if not configs == []:
# generator.bin('bin2hex', ['main.c'], 'bin2hex', basepath = 'tools', implicit_deps = [foundation_lib], libs = ['foundation'], configs = configs)
#No test cases if we're a submodule
if generator.is_subninja():
sys.exit()
includepaths = generator.test_includepaths()
test_cases = ['alloc']
if toolchain.is_monolithic() or target.is_ios() or target.is_android() or target.is_tizen():
#Build one fat binary with all test cases
test_resources = []
test_extrasources = []
test_cases += ['all']
if target.is_ios():
test_resources = [os.path.join('all', 'ios', item) for item in [
'test-all.plist', 'Images.xcassets', 'test-all.xib'
]]
test_extrasources = [os.path.join('all', 'ios', item) for item in [
'viewcontroller.m'
]]
elif target.is_android():
test_resources = [os.path.join('all', 'android', item) for item in [
'AndroidManifest.xml', os.path.join('layout', 'main.xml'), os.path.join('values', 'strings.xml'),
os.path.join('drawable-ldpi', 'icon.png'), os.path.join('drawable-mdpi', 'icon.png'), os.path.join('drawable-hdpi', 'icon.png'),
os.path.join('drawable-xhdpi', 'icon.png'), os.path.join('drawable-xxhdpi', 'icon.png'), os.path.join('drawable-xxxhdpi', 'icon.png')
]]
test_extrasources = [os.path.join('test', 'all', 'android', 'java', 'com', 'rampantpixels', 'memory', 'test', item) for item in [
'TestActivity.java'
]]
elif target.is_tizen():
test_resources = [os.path.join('all', 'tizen', item) for item in [
'tizen-manifest.xml', os.path.join('res', 'tizenapp.png')
]]
sources = [os.path.join(module, 'main.c') for module in test_cases] + test_extrasources
if target.is_ios() or target.is_android() or target.is_tizen():
generator.app(module = '', sources = sources, binname = 'test-all', basepath = 'test', implicit_deps = [memory_lib], libs = ['test'] + dependlibs, resources = test_resources, includepaths = includepaths)
else:
generator.bin(module = '', sources = sources, binname = 'test-all', basepath = 'test', implicit_deps = [memory_lib], libs = ['test'] + dependlibs, includepaths = includepaths)
else:
sources = ['main.c']
#Build one binary per test case
generator.bin(module = 'all', sources = sources, binname = 'test-all', basepath = 'test', implicit_deps = [memory_lib], libs = dependlibs, includepaths = includepaths)
for test in test_cases:
generator.bin(module = test, sources = sources, binname = 'test-' + test, basepath = 'test', implicit_deps = [memory_lib], libs = ['test'] + dependlibs, includepaths = includepaths)
| 47.041667 | 207 | 0.681134 |
53f90d419abdc05675dec9fb37e3e86c6b351ace | 565 | py | Python | django_app/urls.py | Ninad998/FinalYearProject | 5f626b8316d8f4c70cdd481701c20f7f1488c9fb | [
"MIT"
] | 1 | 2019-11-08T08:51:24.000Z | 2019-11-08T08:51:24.000Z | django_app/urls.py | Ninad998/FinalYearProject | 5f626b8316d8f4c70cdd481701c20f7f1488c9fb | [
"MIT"
] | null | null | null | django_app/urls.py | Ninad998/FinalYearProject | 5f626b8316d8f4c70cdd481701c20f7f1488c9fb | [
"MIT"
] | 1 | 2019-11-08T08:51:31.000Z | 2019-11-08T08:51:31.000Z | # coding=utf-8
from django.conf.urls import url
import views
urlpatterns = [
url(r'^$', views.post_list, name='post_list'),
url(r'^post/(?P<pk>\d+)/$', views.post_detail, name='post_detail'),
url(r'^post/new/$', views.post_new, name='post_new'),
url(r'^post/(?P<pk>\d+)/edit/$', views.post_edit, name='post_edit'),
url(r'^drafts/$', views.post_draft_list, name='post_draft_list'),
url(r'^post/(?P<pk>\d+)/publish/$', views.post_publish, name='post_publish'),
url(r'^post/(?P<pk>\d+)/remove/$', views.post_remove, name='post_remove'),
]
| 40.357143 | 81 | 0.640708 |
24747011801d372cec89fcc15391335d1eda7c30 | 772 | py | Python | app/app.py | alexander-esser/sample-web-app | eeb870985563d83131d663e343c8f89338718c08 | [
"MIT"
] | null | null | null | app/app.py | alexander-esser/sample-web-app | eeb870985563d83131d663e343c8f89338718c08 | [
"MIT"
] | null | null | null | app/app.py | alexander-esser/sample-web-app | eeb870985563d83131d663e343c8f89338718c08 | [
"MIT"
] | 1 | 2021-07-18T07:20:50.000Z | 2021-07-18T07:20:50.000Z | import time
import redis
from flask import Flask, Response
FLASK_PORT = 5000
REDIS_PORT = 6379
app = Flask(__name__)
cache = redis.Redis(host="redis", port=REDIS_PORT)
def get_hit_count():
try:
return cache.incr("hits")
except redis.exceptions.ConnectionError as exc:
return -1
@app.route("/")
def hello():
return Response("Hello world! Server is running...", status=500, mimetype="text/plain")
@app.route("/count/")
def count():
count = get_hit_count()
if count == -1:
return Response(f"Could not connect to Redis on Port {REDIS_PORT}", status=500, mimetype="text/plain")
else:
return Response(f"I have been called {count} times.")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=FLASK_PORT) | 22.705882 | 110 | 0.665803 |
187ac4166bc9b5e8063281533a7e479e7499f610 | 43,128 | py | Python | pkgs/statsmodels-0.6.1-np110py27_0/lib/python2.7/site-packages/statsmodels/stats/weightstats.py | wangyum/anaconda | 6e5a0dbead3327661d73a61e85414cf92aa52be6 | [
"Apache-2.0",
"BSD-3-Clause"
] | 10 | 2016-05-18T11:46:33.000Z | 2018-12-23T04:52:27.000Z | statsmodels/stats/weightstats.py | AnaMP/statsmodels | 2d4aad9a14619ce0c84d4c7bca9dacd66b2be566 | [
"BSD-3-Clause"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | statsmodels/stats/weightstats.py | AnaMP/statsmodels | 2d4aad9a14619ce0c84d4c7bca9dacd66b2be566 | [
"BSD-3-Clause"
] | 3 | 2015-04-01T08:26:54.000Z | 2020-02-14T14:34:10.000Z | '''Ttests and descriptive statistics with weights
Created on 2010-09-18
Author: josef-pktd
License: BSD (3-clause)
References
----------
SPSS manual
SAS manual
This follows in large parts the SPSS manual, which is largely the same as
the SAS manual with different, simpler notation.
Freq, Weight in SAS seems redundant since they always show up as product, SPSS
has only weights.
Notes
-----
This has potential problems with ddof, I started to follow numpy with ddof=0
by default and users can change it, but this might still mess up the t-tests,
since the estimates for the standard deviation will be based on the ddof that
the user chooses.
- fixed ddof for the meandiff ttest, now matches scipy.stats.ttest_ind
Note: scipy has now a separate, pooled variance option in ttest, but I haven't
compared yet.
'''
import numpy as np
from scipy import stats
from statsmodels.tools.decorators import OneTimeProperty
class DescrStatsW(object):
'''descriptive statistics and tests with weights for case weights
Assumes that the data is 1d or 2d with (nobs, nvars) observations in rows,
variables in columns, and that the same weight applies to each column.
If degrees of freedom correction is used, then weights should add up to the
number of observations. ttest also assumes that the sum of weights
corresponds to the sample size.
This is essentially the same as replicating each observations by its
weight, if the weights are integers, often called case or frequency weights.
Parameters
----------
data : array_like, 1-D or 2-D
dataset
weights : None or 1-D ndarray
weights for each observation, with same length as zero axis of data
ddof : int
default ddof=0, degrees of freedom correction used for second moments,
var, std, cov, corrcoef.
However, statistical tests are independent of `ddof`, based on the
standard formulas.
Examples
--------
Note: I don't know the seed for the following, so the numbers will
differ
>>> x1_2d = 1.0 + np.random.randn(20, 3)
>>> w1 = np.random.randint(1,4, 20)
>>> d1 = DescrStatsW(x1_2d, weights=w1)
>>> d1.mean
array([ 1.42739844, 1.23174284, 1.083753 ])
>>> d1.var
array([ 0.94855633, 0.52074626, 1.12309325])
>>> d1.std_mean
array([ 0.14682676, 0.10878944, 0.15976497])
>>> tstat, pval, df = d1.ttest_mean(0)
>>> tstat; pval; df
array([ 9.72165021, 11.32226471, 6.78342055])
array([ 1.58414212e-12, 1.26536887e-14, 2.37623126e-08])
44.0
>>> tstat, pval, df = d1.ttest_mean([0, 1, 1])
>>> tstat; pval; df
array([ 9.72165021, 2.13019609, 0.52422632])
array([ 1.58414212e-12, 3.87842808e-02, 6.02752170e-01])
44.0
#if weiqhts are integers, then asrepeats can be used
>>> x1r = d1.asrepeats()
>>> x1r.shape
...
>>> stats.ttest_1samp(x1r, [0, 1, 1])
...
'''
def __init__(self, data, weights=None, ddof=0):
self.data = np.asarray(data)
if weights is None:
self.weights = np.ones(self.data.shape[0])
else:
#why squeeze?
self.weights = np.asarray(weights).squeeze().astype(float)
self.ddof = ddof
@OneTimeProperty
def sum_weights(self):
return self.weights.sum(0)
@OneTimeProperty
def nobs(self):
'''alias for number of observations/cases, equal to sum of weights
'''
return self.sum_weights
@OneTimeProperty
def sum(self):
'''weighted sum of data'''
return np.dot(self.data.T, self.weights)
@OneTimeProperty
def mean(self):
'''weighted mean of data'''
return self.sum / self.sum_weights
@OneTimeProperty
def demeaned(self):
'''data with weighted mean subtracted'''
return self.data - self.mean
@OneTimeProperty
def sumsquares(self):
'''weighted sum of squares of demeaned data'''
return np.dot((self.demeaned**2).T, self.weights)
#need memoize instead of cache decorator
def var_ddof(self, ddof=0):
'''variance of data given ddof
Parameters
----------
ddof : int, float
degrees of freedom correction, independent of attribute ddof
Returns
-------
var : float, ndarray
variance with denominator ``sum_weights - ddof``
'''
return self.sumsquares / (self.sum_weights - ddof)
def std_ddof(self, ddof=0):
'''standard deviation of data with given ddof
Parameters
----------
ddof : int, float
degrees of freedom correction, independent of attribute ddof
Returns
-------
std : float, ndarray
standard deviation with denominator ``sum_weights - ddof``
'''
return np.sqrt(self.var_ddof(ddof=ddof))
@OneTimeProperty
def var(self):
'''variance with default degrees of freedom correction
'''
return self.sumsquares / (self.sum_weights - self.ddof)
@OneTimeProperty
def _var(self):
'''variance without degrees of freedom correction
used for statistical tests with controlled ddof
'''
return self.sumsquares / self.sum_weights
@OneTimeProperty
def std(self):
'''standard deviation with default degrees of freedom correction
'''
return np.sqrt(self.var)
@OneTimeProperty
def cov(self):
'''weighted covariance of data if data is 2 dimensional
assumes variables in columns and observations in rows
uses default ddof
'''
cov_ = np.dot(self.weights * self.demeaned.T, self.demeaned)
cov_ /= (self.sum_weights - self.ddof)
return cov_
@OneTimeProperty
def corrcoef(self):
'''weighted correlation with default ddof
assumes variables in columns and observations in rows
'''
return self.cov / self.std / self.std[:,None]
@OneTimeProperty
def std_mean(self):
'''standard deviation of weighted mean
'''
std = self.std
if self.ddof != 0:
#ddof correction, (need copy of std)
std = std * np.sqrt((self.sum_weights - self.ddof)
/ self.sum_weights)
return std / np.sqrt(self.sum_weights - 1)
def tconfint_mean(self, alpha=0.05, alternative='two-sided'):
'''two-sided confidence interval for weighted mean of data
If the data is 2d, then these are separate confidence intervals
for each column.
Parameters
----------
alpha : float
significance level for the confidence interval, coverage is
``1-alpha``
alternative : string
This specifies the alternative hypothesis for the test that
corresponds to the confidence interval.
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: mean not equal to value (default)
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Returns
-------
lower, upper : floats or ndarrays
lower and upper bound of confidence interval
Notes
-----
In a previous version, statsmodels 0.4, alpha was the confidence
level, e.g. 0.95
'''
#TODO: add asymmetric
dof = self.sum_weights - 1
ci = _tconfint_generic(self.mean, self.std_mean, dof, alpha,
alternative)
return ci
def zconfint_mean(self, alpha=0.05, alternative='two-sided'):
'''two-sided confidence interval for weighted mean of data
Confidence interval is based on normal distribution.
If the data is 2d, then these are separate confidence intervals
for each column.
Parameters
----------
alpha : float
significance level for the confidence interval, coverage is
``1-alpha``
alternative : string
This specifies the alternative hypothesis for the test that
corresponds to the confidence interval.
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: mean not equal to value (default)
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Returns
-------
lower, upper : floats or ndarrays
lower and upper bound of confidence interval
Notes
-----
In a previous version, statsmodels 0.4, alpha was the confidence
level, e.g. 0.95
'''
return _zconfint_generic(self.mean, self.std_mean, alpha, alternative)
def ttest_mean(self, value=0, alternative='two-sided'):
'''ttest of Null hypothesis that mean is equal to value.
The alternative hypothesis H1 is defined by the following
'two-sided': H1: mean not equal to value
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Parameters
----------
value : float or array
the hypothesized value for the mean
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: mean not equal to value (default)
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
df : int or float
'''
#TODO: check direction with R, smaller=less, larger=greater
tstat = (self.mean - value) / self.std_mean
dof = self.sum_weights - 1
#TODO: use outsourced
if alternative == 'two-sided':
pvalue = stats.t.sf(np.abs(tstat), dof)*2
elif alternative == 'larger':
pvalue = stats.t.sf(tstat, dof)
elif alternative == 'smaller':
pvalue = stats.t.cdf(tstat, dof)
return tstat, pvalue, dof
def ttost_mean(self, low, upp):
'''test of (non-)equivalence of one sample
TOST: two one-sided t tests
null hypothesis: m < low or m > upp
alternative hypothesis: low < m < upp
where m is the expected value of the sample (mean of the population).
If the pvalue is smaller than a threshold, say 0.05, then we reject the
hypothesis that the expected value of the sample (mean of the
population) is outside of the interval given by thresholds low and upp.
Parameters
----------
low, upp : float
equivalence interval low < mean < upp
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1, df1 : tuple
test statistic, pvalue and degrees of freedom for lower threshold
test
t2, pv2, df2 : tuple
test statistic, pvalue and degrees of freedom for upper threshold
test
'''
t1, pv1, df1 = self.ttest_mean(low, alternative='larger')
t2, pv2, df2 = self.ttest_mean(upp, alternative='smaller')
return np.maximum(pv1, pv2), (t1, pv1, df1), (t2, pv2, df2)
def ztest_mean(self, value=0, alternative='two-sided'):
'''z-test of Null hypothesis that mean is equal to value.
The alternative hypothesis H1 is defined by the following
'two-sided': H1: mean not equal to value
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Parameters
----------
value : float or array
the hypothesized value for the mean
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: mean not equal to value (default)
'larger' : H1: mean larger than value
'smaller' : H1: mean smaller than value
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
Notes
-----
This uses the same degrees of freedom correction as the t-test in the
calculation of the standard error of the mean, i.e it uses
`(sum_weights - 1)` instead of `sum_weights` in the denominator.
See Examples below for the difference.
Examples
--------
z-test on a proportion, with 20 observations, 15 of those are our event
>>> x1 = [0, 1]
>>> w1 = [5, 15]
>>> d1 = smws.DescrStatsW(x1, w1)
>>> d1.ztest_mean(0.5)
(2.5166114784235836, 0.011848940928347452)
This differs from the proportions_ztest because of the degrees of
freedom correction:
>>> smprop.proportions_ztest(15, 20., value=0.5)
(2.5819888974716112, 0.009823274507519247).
We can replicate the results from ``proportions_ztest`` if we increase
the weights to have artificially one more observation:
>>> smws.DescrStatsW(x1, np.array(w1)*21./20).ztest_mean(0.5)
(2.5819888974716116, 0.0098232745075192366)
'''
tstat = (self.mean - value) / self.std_mean
#TODO: use outsourced
if alternative == 'two-sided':
pvalue = stats.norm.sf(np.abs(tstat))*2
elif alternative == 'larger':
pvalue = stats.norm.sf(tstat)
elif alternative == 'smaller':
pvalue = stats.norm.cdf(tstat)
return tstat, pvalue
def ztost_mean(self, low, upp):
'''test of (non-)equivalence of one sample, based on z-test
TOST: two one-sided z-tests
null hypothesis: m < low or m > upp
alternative hypothesis: low < m < upp
where m is the expected value of the sample (mean of the population).
If the pvalue is smaller than a threshold, say 0.05, then we reject the
hypothesis that the expected value of the sample (mean of the
population) is outside of the interval given by thresholds low and upp.
Parameters
----------
low, upp : float
equivalence interval low < mean < upp
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple
test statistic and p-value for lower threshold test
t2, pv2 : tuple
test statistic and p-value for upper threshold test
'''
t1, pv1 = self.ztest_mean(low, alternative='larger')
t2, pv2 = self.ztest_mean(upp, alternative='smaller')
return np.maximum(pv1, pv2), (t1, pv1), (t2, pv2)
def get_compare(self, other, weights=None):
'''return an instance of CompareMeans with self and other
Parameters
----------
other : array_like or instance of DescrStatsW
If array_like then this creates an instance of DescrStatsW with
the given weights.
weights : None or array
weights are only used if other is not an instance of DescrStatsW
Returns
-------
cm : instance of CompareMeans
the instance has self attached as d1 and other as d2.
See Also
--------
CompareMeans
'''
if not isinstance(other, self.__class__):
d2 = DescrStatsW(other, weights)
else:
d2 = other
return CompareMeans(self, d2)
def asrepeats(self):
'''get array that has repeats given by floor(weights)
observations with weight=0 are dropped
'''
w_int = np.floor(self.weights).astype(int)
return np.repeat(self.data, w_int, axis=0)
def _tstat_generic(value1, value2, std_diff, dof, alternative, diff=0):
'''generic ttest to save typing'''
tstat = (value1 - value2 - diff) / std_diff
if alternative in ['two-sided', '2-sided', '2s']:
pvalue = stats.t.sf(np.abs(tstat), dof)*2
elif alternative in ['larger', 'l']:
pvalue = stats.t.sf(tstat, dof)
elif alternative in ['smaller', 's']:
pvalue = stats.t.cdf(tstat, dof)
else:
raise ValueError('invalid alternative')
return tstat, pvalue
def _tconfint_generic(mean, std_mean, dof, alpha, alternative):
'''generic t-confint to save typing'''
if alternative in ['two-sided', '2-sided', '2s']:
tcrit = stats.t.ppf(1 - alpha / 2., dof)
lower = mean - tcrit * std_mean
upper = mean + tcrit * std_mean
elif alternative in ['larger', 'l']:
tcrit = stats.t.ppf(alpha, dof)
lower = mean + tcrit * std_mean
upper = np.inf
elif alternative in ['smaller', 's']:
tcrit = stats.t.ppf(1 - alpha, dof)
lower = -np.inf
upper = mean + tcrit * std_mean
else:
raise ValueError('invalid alternative')
return lower, upper
def _zstat_generic(value1, value2, std_diff, alternative, diff=0):
'''generic (normal) z-test to save typing
can be used as ztest based on summary statistics
'''
zstat = (value1 - value2 - diff) / std_diff
if alternative in ['two-sided', '2-sided', '2s']:
pvalue = stats.norm.sf(np.abs(zstat))*2
elif alternative in ['larger', 'l']:
pvalue = stats.norm.sf(zstat)
elif alternative in ['smaller', 's']:
pvalue = stats.norm.cdf(zstat)
else:
raise ValueError('invalid alternative')
return zstat, pvalue
def _zstat_generic2(value, std_diff, alternative):
'''generic (normal) z-test to save typing
can be used as ztest based on summary statistics
'''
zstat = value / std_diff
if alternative in ['two-sided', '2-sided', '2s']:
pvalue = stats.norm.sf(np.abs(zstat))*2
elif alternative in ['larger', 'l']:
pvalue = stats.norm.sf(zstat)
elif alternative in ['smaller', 's']:
pvalue = stats.norm.cdf(zstat)
else:
raise ValueError('invalid alternative')
return zstat, pvalue
def _zconfint_generic(mean, std_mean, alpha, alternative):
'''generic normal-confint to save typing'''
if alternative in ['two-sided', '2-sided', '2s']:
zcrit = stats.norm.ppf(1 - alpha / 2.)
lower = mean - zcrit * std_mean
upper = mean + zcrit * std_mean
elif alternative in ['larger', 'l']:
zcrit = stats.norm.ppf(alpha)
lower = mean + zcrit * std_mean
upper = np.inf
elif alternative in ['smaller', 's']:
zcrit = stats.norm.ppf(1 - alpha)
lower = -np.inf
upper = mean + zcrit * std_mean
else:
raise ValueError('invalid alternative')
return lower, upper
class CompareMeans(object):
'''class for two sample comparison
The tests and the confidence interval work for multi-endpoint comparison:
If d1 and d2 have the same number of rows, then each column of the data
in d1 is compared with the corresponding column in d2.
Parameters
----------
d1, d2 : instances of DescrStatsW
Notes
-----
The result for the statistical tests and the confidence interval are
independent of the user specified ddof.
TODO: Extend to any number of groups or write a version that works in that
case, like in SAS and SPSS.
'''
def __init__(self, d1, d2):
'''assume d1, d2 hold the relevant attributes
'''
self.d1 = d1
self.d2 = d2
#assume nobs is available
# if not hasattr(self.d1, 'nobs'):
# d1.nobs1 = d1.sum_weights.astype(float) #float just to make sure
# self.nobs2 = d2.sum_weights.astype(float)
@OneTimeProperty
def std_meandiff_separatevar(self):
#this uses ``_var`` to use ddof=0 for formula
d1 = self.d1
d2 = self.d2
return np.sqrt(d1._var / (d1.nobs-1) + d2._var / (d2.nobs-1))
@OneTimeProperty
def std_meandiff_pooledvar(self):
'''variance assuming equal variance in both data sets
'''
#this uses ``_var`` to use ddof=0 for formula
d1 = self.d1
d2 = self.d2
#could make var_pooled into attribute
var_pooled = ((d1.sumsquares + d2.sumsquares) /
#(d1.nobs - d1.ddof + d2.nobs - d2.ddof))
(d1.nobs - 1 + d2.nobs - 1))
return np.sqrt(var_pooled * (1. / d1.nobs + 1. /d2.nobs))
def dof_satt(self):
'''degrees of freedom of Satterthwaite for unequal variance
'''
d1 = self.d1
d2 = self.d2
#this follows blindly the SPSS manual
#except I use ``_var`` which has ddof=0
sem1 = d1._var / (d1.nobs-1)
sem2 = d2._var / (d2.nobs-1)
semsum = sem1 + sem2
z1 = (sem1 / semsum)**2 / (d1.nobs - 1)
z2 = (sem2 / semsum)**2 / (d2.nobs - 1)
dof = 1. / (z1 + z2)
return dof
def ttest_ind(self, alternative='two-sided', usevar='pooled', value=0):
'''ttest for the null hypothesis of identical means
this should also be the same as onewaygls, except for ddof differences
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
value : float
difference between the means under the Null hypothesis.
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
df : int or float
degrees of freedom used in the t-test
Notes
-----
The result is independent of the user specified ddof.
'''
d1 = self.d1
d2 = self.d2
if usevar == 'pooled':
stdm = self.std_meandiff_pooledvar
dof = (d1.nobs - 1 + d2.nobs - 1)
elif usevar == 'unequal':
stdm = self.std_meandiff_separatevar
dof = self.dof_satt()
else:
raise ValueError('usevar can only be "pooled" or "unequal"')
tstat, pval = _tstat_generic(d1.mean, d2.mean, stdm, dof, alternative,
diff=value)
return tstat, pval, dof
def ztest_ind(self, alternative='two-sided', usevar='pooled', value=0):
'''z-test for the null hypothesis of identical means
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
value : float
difference between the means under the Null hypothesis.
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
df : int or float
degrees of freedom used in the t-test
'''
d1 = self.d1
d2 = self.d2
if usevar == 'pooled':
stdm = self.std_meandiff_pooledvar
elif usevar == 'unequal':
stdm = self.std_meandiff_separatevar
else:
raise ValueError('usevar can only be "pooled" or "unequal"')
tstat, pval = _zstat_generic(d1.mean, d2.mean, stdm, alternative,
diff=value)
return tstat, pval
def tconfint_diff(self, alpha=0.05, alternative='two-sided',
usevar='pooled'):
'''confidence interval for the difference in means
Parameters
----------
alpha : float
significance level for the confidence interval, coverage is
``1-alpha``
alternative : string
This specifies the alternative hypothesis for the test that
corresponds to the confidence interval.
The alternative hypothesis, H1, has to be one of the following :
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
Returns
-------
lower, upper : floats
lower and upper limits of the confidence interval
Notes
-----
The result is independent of the user specified ddof.
'''
d1 = self.d1
d2 = self.d2
diff = d1.mean - d2.mean
if usevar == 'pooled':
std_diff = self.std_meandiff_pooledvar
dof = (d1.nobs - 1 + d2.nobs - 1)
elif usevar == 'unequal':
std_diff = self.std_meandiff_separatevar
dof = self.dof_satt()
else:
raise ValueError('usevar can only be "pooled" or "unequal"')
res = _tconfint_generic(diff, std_diff, dof, alpha=alpha,
alternative=alternative)
return res
def zconfint_diff(self, alpha=0.05, alternative='two-sided',
usevar='pooled'):
'''confidence interval for the difference in means
Parameters
----------
alpha : float
significance level for the confidence interval, coverage is
``1-alpha``
alternative : string
This specifies the alternative hypothesis for the test that
corresponds to the confidence interval.
The alternative hypothesis, H1, has to be one of the following :
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
Returns
-------
lower, upper : floats
lower and upper limits of the confidence interval
Notes
-----
The result is independent of the user specified ddof.
'''
d1 = self.d1
d2 = self.d2
diff = d1.mean - d2.mean
if usevar == 'pooled':
std_diff = self.std_meandiff_pooledvar
elif usevar == 'unequal':
std_diff = self.std_meandiff_separatevar
else:
raise ValueError('usevar can only be "pooled" or "unequal"')
res = _zconfint_generic(diff, std_diff, alpha=alpha,
alternative=alternative)
return res
def ttost_ind(self, low, upp, usevar='pooled'):
'''
test of equivalence for two independent samples, base on t-test
Parameters
----------
low, upp : float
equivalence interval low < m1 - m2 < upp
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple of floats
test statistic and pvalue for lower threshold test
t2, pv2 : tuple of floats
test statistic and pvalue for upper threshold test
'''
tt1 = self.ttest_ind(alternative='larger', usevar=usevar, value=low)
tt2 = self.ttest_ind(alternative='smaller', usevar=usevar, value=upp)
#TODO: remove tuple return, use same as for function tost_ind
return np.maximum(tt1[1], tt2[1]), (tt1, tt2)
def ztost_ind(self, low, upp, usevar='pooled'):
'''
test of equivalence for two independent samples, based on z-test
Parameters
----------
low, upp : float
equivalence interval low < m1 - m2 < upp
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple of floats
test statistic and pvalue for lower threshold test
t2, pv2 : tuple of floats
test statistic and pvalue for upper threshold test
'''
tt1 = self.ztest_ind(alternative='larger', usevar=usevar, value=low)
tt2 = self.ztest_ind(alternative='smaller', usevar=usevar, value=upp)
#TODO: remove tuple return, use same as for function tost_ind
return np.maximum(tt1[1], tt2[1]), tt1, tt2
#tost.__doc__ = tost_ind.__doc__
#doesn't work for 2d, doesn't take weights into account
## def test_equal_var(self):
## '''Levene test for independence
##
## '''
## d1 = self.d1
## d2 = self.d2
## #rewrite this, for now just use scipy.stats
## return stats.levene(d1.data, d2.data)
def ttest_ind(x1, x2, alternative='two-sided', usevar='pooled',
weights=(None, None), value=0):
'''ttest independent sample
convenience function that uses the classes and throws away the intermediate
results,
compared to scipy stats: drops axis option, adds alternative, usevar, and
weights option
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
weights : tuple of None or ndarrays
Case weights for the two samples. For details on weights see
``DescrStatsW``
value : float
difference between the means under the Null hypothesis.
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
df : int or float
degrees of freedom used in the t-test
'''
cm = CompareMeans(DescrStatsW(x1, weights=weights[0], ddof=0),
DescrStatsW(x2, weights=weights[1], ddof=0))
tstat, pval, dof = cm.ttest_ind(alternative=alternative, usevar=usevar,
value=value)
return tstat, pval, dof
def ttost_ind(x1, x2, low, upp, usevar='pooled', weights=(None, None),
transform=None):
'''test of (non-)equivalence for two independent samples
TOST: two one-sided t tests
null hypothesis: m1 - m2 < low or m1 - m2 > upp
alternative hypothesis: low < m1 - m2 < upp
where m1, m2 are the means, expected values of the two samples.
If the pvalue is smaller than a threshold, say 0.05, then we reject the
hypothesis that the difference between the two samples is larger than the
the thresholds given by low and upp.
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
low, upp : float
equivalence interval low < m1 - m2 < upp
usevar : string, 'pooled' or 'unequal'
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. If ``unequal``, then Welsh ttest with Satterthwait degrees
of freedom is used
weights : tuple of None or ndarrays
Case weights for the two samples. For details on weights see
``DescrStatsW``
transform : None or function
If None (default), then the data is not transformed. Given a function,
sample data and thresholds are transformed. If transform is log, then
the equivalence interval is in ratio: low < m1 / m2 < upp
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple of floats
test statistic and pvalue for lower threshold test
t2, pv2 : tuple of floats
test statistic and pvalue for upper threshold test
Notes
-----
The test rejects if the 2*alpha confidence interval for the difference
is contained in the ``(low, upp)`` interval.
This test works also for multi-endpoint comparisons: If d1 and d2
have the same number of columns, then each column of the data in d1 is
compared with the corresponding column in d2. This is the same as
comparing each of the corresponding columns separately. Currently no
multi-comparison correction is used. The raw p-values reported here can
be correction with the functions in ``multitest``.
'''
if transform:
if transform is np.log:
#avoid hstack in special case
x1 = transform(x1)
x2 = transform(x2)
else:
#for transforms like rankdata that will need both datasets
#concatenate works for stacking 1d and 2d arrays
xx = transform(np.concatenate((x1, x2), 0))
x1 = xx[:len(x1)]
x2 = xx[len(x1):]
low = transform(low)
upp = transform(upp)
cm = CompareMeans(DescrStatsW(x1, weights=weights[0], ddof=0),
DescrStatsW(x2, weights=weights[1], ddof=0))
pval, res = cm.ttost_ind(low, upp, usevar=usevar)
return pval, res[0], res[1]
def ttost_paired(x1, x2, low, upp, transform=None, weights=None):
'''test of (non-)equivalence for two dependent, paired sample
TOST: two one-sided t tests
null hypothesis: md < low or md > upp
alternative hypothesis: low < md < upp
where md is the mean, expected value of the difference x1 - x2
If the pvalue is smaller than a threshold,say 0.05, then we reject the
hypothesis that the difference between the two samples is larger than the
the thresholds given by low and upp.
Parameters
----------
x1, x2 : array_like
two dependent samples
low, upp : float
equivalence interval low < mean of difference < upp
weights : None or ndarray
case weights for the two samples. For details on weights see
``DescrStatsW``
transform : None or function
If None (default), then the data is not transformed. Given a function
sample data and thresholds are transformed. If transform is log the
the equivalence interval is in ratio: low < x1 / x2 < upp
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1, df1 : tuple
test statistic, pvalue and degrees of freedom for lower threshold test
t2, pv2, df2 : tuple
test statistic, pvalue and degrees of freedom for upper threshold test
'''
if transform:
if transform is np.log:
#avoid hstack in special case
x1 = transform(x1)
x2 = transform(x2)
else:
#for transforms like rankdata that will need both datasets
#concatenate works for stacking 1d and 2d arrays
xx = transform(np.concatenate((x1, x2), 0))
x1 = xx[:len(x1)]
x2 = xx[len(x1):]
low = transform(low)
upp = transform(upp)
dd = DescrStatsW(x1 - x2, weights=weights, ddof=0)
t1, pv1, df1 = dd.ttest_mean(low, alternative='larger')
t2, pv2, df2 = dd.ttest_mean(upp, alternative='smaller')
return np.maximum(pv1, pv2), (t1, pv1, df1), (t2, pv2, df2)
def ztest(x1, x2=None, value=0, alternative='two-sided', usevar='pooled',
ddof=1.):
'''test for mean based on normal distribution, one or two samples
In the case of two samples, the samples are assumed to be independent.
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples
value : float
In the one sample case, value is the mean of x1 under the Null
hypothesis.
In the two sample case, value is the difference between mean of x1 and
mean of x2 under the Null hypothesis. The test statistic is
`x1_mean - x2_mean - value`.
alternative : string
The alternative hypothesis, H1, has to be one of the following
'two-sided': H1: difference in means not equal to value (default)
'larger' : H1: difference in means larger than value
'smaller' : H1: difference in means smaller than value
usevar : string, 'pooled'
Currently, only 'pooled' is implemented.
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. see CompareMeans.ztest_ind for different options.
ddof : int
Degrees of freedom use in the calculation of the variance of the mean
estimate. In the case of comparing means this is one, however it can
be adjusted for testing other statistics (proportion, correlation)
Returns
-------
tstat : float
test statisic
pvalue : float
pvalue of the t-test
Notes
-----
usevar not implemented, is always pooled in two sample case
use CompareMeans instead.
'''
# TODO: this should delegate to CompareMeans like ttest_ind
# However that does not implement ddof
#usevar is not used, always pooled
if usevar != 'pooled':
raise NotImplementedError('only usevar="pooled" is implemented')
x1 = np.asarray(x1)
nobs1 = x1.shape[0]
x1_mean = x1.mean(0)
x1_var = x1.var(0)
if x2 is not None:
x2 = np.asarray(x2)
nobs2 = x2.shape[0]
x2_mean = x2.mean(0)
x2_var = x2.var(0)
var_pooled = (nobs1 * x1_var + nobs2 * x2_var)
var_pooled /= (nobs1 + nobs2 - 2 * ddof)
var_pooled *= (1. / nobs1 + 1. / nobs2)
else:
var_pooled = x1_var / (nobs1 - ddof)
x2_mean = 0
std_diff = np.sqrt(var_pooled)
#stat = x1_mean - x2_mean - value
return _zstat_generic(x1_mean, x2_mean, std_diff, alternative, diff=value)
def zconfint(x1, x2=None, value=0, alpha=0.05, alternative='two-sided',
usevar='pooled', ddof=1.):
'''confidence interval based on normal distribution z-test
Parameters
----------
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
value : float
In the one sample case, value is the mean of x1 under the Null
hypothesis.
In the two sample case, value is the difference between mean of x1 and
mean of x2 under the Null hypothesis. The test statistic is
`x1_mean - x2_mean - value`.
usevar : string, 'pooled'
Currently, only 'pooled' is implemented.
If ``pooled``, then the standard deviation of the samples is assumed to be
the same. see CompareMeans.ztest_ind for different options.
ddof : int
Degrees of freedom use in the calculation of the variance of the mean
estimate. In the case of comparing means this is one, however it can
be adjusted for testing other statistics (proportion, correlation)
Notes
-----
checked only for 1 sample case
usevar not implemented, is always pooled in two sample case
``value`` shifts the confidence interval so it is centered at
`x1_mean - x2_mean - value`
See Also
--------
ztest
CompareMeans
'''
#usevar is not used, always pooled
# mostly duplicate code from ztest
if usevar != 'pooled':
raise NotImplementedError('only usevar="pooled" is implemented')
x1 = np.asarray(x1)
nobs1 = x1.shape[0]
x1_mean = x1.mean(0)
x1_var = x1.var(0)
if x2 is not None:
x2 = np.asarray(x2)
nobs2 = x2.shape[0]
x2_mean = x2.mean(0)
x2_var = x2.var(0)
var_pooled = (nobs1 * x1_var + nobs2 * x2_var)
var_pooled /= (nobs1 + nobs2 - 2 * ddof)
var_pooled *= (1. / nobs1 + 1. / nobs2)
else:
var_pooled = x1_var / (nobs1 - ddof)
x2_mean = 0
std_diff = np.sqrt(var_pooled)
ci = _zconfint_generic(x1_mean - x2_mean - value, std_diff, alpha, alternative)
return ci
def ztost(x1, low, upp, x2=None, usevar='pooled', ddof=1.):
'''Equivalence test based on normal distribution
Parameters
----------
x1 : array_like
one sample or first sample for 2 independent samples
low, upp : float
equivalence interval low < m1 - m2 < upp
x1 : array_like or None
second sample for 2 independent samples test. If None, then a
one-sample test is performed.
usevar : string, 'pooled'
If `pooled`, then the standard deviation of the samples is assumed to be
the same. Only `pooled` is currently implemented.
Returns
-------
pvalue : float
pvalue of the non-equivalence test
t1, pv1 : tuple of floats
test statistic and pvalue for lower threshold test
t2, pv2 : tuple of floats
test statistic and pvalue for upper threshold test
Notes
-----
checked only for 1 sample case
'''
tt1 = ztest(x1, x2, alternative='larger', usevar=usevar, value=low,
ddof=ddof)
tt2 = ztest(x1, x2, alternative='smaller', usevar=usevar, value=upp,
ddof=ddof)
return np.maximum(tt1[1], tt2[1]), tt1, tt2,
| 33.432558 | 86 | 0.60128 |
4f1abb5aebc96429d365f921eaf61661bd347b04 | 834 | py | Python | src/djanban/apps/dev_times/migrations/0007_auto_20161111_1927.py | diegojromerolopez/djanban | 6451688d49cf235d03c604b19a6a8480b33eed87 | [
"MIT"
] | 33 | 2017-06-14T18:04:25.000Z | 2021-06-15T07:07:56.000Z | src/djanban/apps/dev_times/migrations/0007_auto_20161111_1927.py | diegojromerolopez/djanban | 6451688d49cf235d03c604b19a6a8480b33eed87 | [
"MIT"
] | 1 | 2017-05-10T08:45:55.000Z | 2017-05-10T08:45:55.000Z | src/djanban/apps/dev_times/migrations/0007_auto_20161111_1927.py | diegojromerolopez/djanban | 6451688d49cf235d03c604b19a6a8480b33eed87 | [
"MIT"
] | 8 | 2017-08-27T11:14:25.000Z | 2021-03-03T12:11:16.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-11-11 18:27
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('dev_times', '0006_auto_20161012_1431'),
]
operations = [
migrations.AlterField(
model_name='dailyspenttime',
name='comment',
field=models.OneToOneField(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='daily_spent_time', to='boards.CardComment', verbose_name='Comment'),
),
migrations.AlterField(
model_name='dailyspenttime',
name='uuid',
field=models.CharField(max_length=128, null=True, verbose_name='External id of the comment'),
),
]
| 30.888889 | 177 | 0.655875 |
3bde35949d944282078786759ee6c61e90efb294 | 2,590 | py | Python | backend/config/settings.py | z3by/tweety-django-vue | 1f85b73cf98258be7d4b4547e6d9d596f8149892 | [
"MIT"
] | 1 | 2021-07-08T12:45:20.000Z | 2021-07-08T12:45:20.000Z | backend/config/settings.py | z3by/tweety-django | 1f85b73cf98258be7d4b4547e6d9d596f8149892 | [
"MIT"
] | 1 | 2021-06-10T02:34:12.000Z | 2021-06-10T02:34:12.000Z | backend/config/settings.py | z3by/tweety-django | 1f85b73cf98258be7d4b4547e6d9d596f8149892 | [
"MIT"
] | 1 | 2021-06-07T21:54:30.000Z | 2021-06-07T21:54:30.000Z | from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = "django-insecure-r%t+n$xoz8v6822z!j4f#49(xbf)yn#d@0h4u5@7#$o@8wm8*7"
DEBUG = True
ALLOWED_HOSTS = []
SITE_ID = 1
INSTALLED_APPS = [
"tweets",
"users",
"django.contrib.sites",
"django.contrib.admin",
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.messages",
"django.contrib.staticfiles",
"allauth",
"allauth.account",
"allauth.socialaccount",
"widget_tweaks",
]
MIDDLEWARE = [
"django.middleware.security.SecurityMiddleware",
"django.contrib.sessions.middleware.SessionMiddleware",
"django.middleware.common.CommonMiddleware",
"django.middleware.csrf.CsrfViewMiddleware",
"django.contrib.auth.middleware.AuthenticationMiddleware",
"django.contrib.messages.middleware.MessageMiddleware",
"django.middleware.clickjacking.XFrameOptionsMiddleware",
]
ROOT_URLCONF = "config.urls"
TEMPLATES = [
{
"BACKEND": "django.template.backends.django.DjangoTemplates",
"DIRS": [BASE_DIR / "templates"],
"APP_DIRS": True,
"OPTIONS": {
"context_processors": [
"django.template.context_processors.debug",
"django.template.context_processors.request",
"django.contrib.auth.context_processors.auth",
"django.contrib.messages.context_processors.messages",
],
},
},
]
WSGI_APPLICATION = "config.wsgi.application"
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME": BASE_DIR / "db.sqlite3",
}
}
AUTH_USER_MODEL = "users.User"
AUTH_PASSWORD_VALIDATORS = [
{
"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
},
{
"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator",
},
{
"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator",
},
{
"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator",
},
]
LANGUAGE_CODE = "en-us"
TIME_ZONE = "UTC"
USE_I18N = True
USE_L10N = True
USE_TZ = True
STATIC_URL = "/static/"
STATICFILES_DIRS = [
BASE_DIR / "static",
]
MEDIA_URL = "/media/"
MEDIA_ROOT = BASE_DIR / "media"
DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"
LOGIN_REDIRECT_URL = "/home/"
ACCOUNT_AUTHENTICATION_METHOD = "username_email"
ACCOUNT_SESSION_REMEMBER = False
EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
| 24.903846 | 91 | 0.675676 |
3e71e6e8c4887c455d31b805ab75ba9dbc3ff5bd | 1,143 | py | Python | app/tests/mixins/pep8_view_test_mixin.py | dandye/DjanGoat | 72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d | [
"MIT"
] | 65 | 2017-08-18T15:12:03.000Z | 2021-08-14T16:50:07.000Z | app/tests/mixins/pep8_view_test_mixin.py | dandye/DjanGoat | 72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d | [
"MIT"
] | 83 | 2017-11-28T21:45:20.000Z | 2021-11-02T18:52:52.000Z | app/tests/mixins/pep8_view_test_mixin.py | dandye/DjanGoat | 72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d | [
"MIT"
] | 71 | 2017-08-17T14:58:01.000Z | 2022-02-02T17:09:49.000Z | import pep8
# Mixin for testing the pep8 style rules.
class Pep8ViewsTests(object):
def test_pep8_conformance_views(self):
file_path = self.path + 'views.py'
pep8style = pep8.StyleGuide(quiet=True)
result = pep8style.check_files([file_path])
self._validate(result, file_path)
def test_pep8_conformance_urls(self):
file_path = self.path + 'urls.py'
pep8style = pep8.StyleGuide(quiet=True)
result = pep8style.check_files([file_path])
self._validate(result, file_path)
def test_pep8_conformance_init(self):
file_path = self.path + '__init__.py'
pep8style = pep8.StyleGuide(quiet=True)
result = pep8style.check_files([file_path])
self._validate(result, file_path)
# Helper method to validate whether or not there are pep8 errors in the code specified by the path
def _validate(self, result, path):
error_message = ""
if result.total_errors != 0:
error_message = "Style errors in: " + path + "\n" + "\n".join(result.get_statistics())
self.assertEqual(result.total_errors, 0, error_message)
| 36.870968 | 102 | 0.671916 |
e1c62155cff8c409947e69487aa1c0c562eb4f33 | 19,383 | py | Python | sdk/chaos/azure-mgmt-chaos/azure/mgmt/chaos/aio/operations/_targets_operations.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/chaos/azure-mgmt-chaos/azure/mgmt/chaos/aio/operations/_targets_operations.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/chaos/azure-mgmt-chaos/azure/mgmt/chaos/aio/operations/_targets_operations.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # 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 typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest
from azure.mgmt.core.exceptions import ARMErrorFormat
from ... import models as _models
T = TypeVar('T')
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]]
class TargetsOperations:
"""TargetsOperations async operations.
You should not instantiate this class directly. Instead, you should create a Client instance that
instantiates it for you and attaches it as an attribute.
:ivar models: Alias to model classes used in this operation group.
:type models: ~chaos_management_client.models
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
"""
models = _models
def __init__(self, client, config, serializer, deserializer) -> None:
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self._config = config
def list(
self,
resource_group_name: str,
parent_provider_namespace: str,
parent_resource_type: str,
parent_resource_name: str,
continuation_token_parameter: Optional[str] = None,
**kwargs: Any
) -> AsyncIterable["_models.TargetListResult"]:
"""Get a list of Target resources that extend a tracked regional resource.
:param resource_group_name: String that represents an Azure resource group.
:type resource_group_name: str
:param parent_provider_namespace: String that represents a resource provider namespace.
:type parent_provider_namespace: str
:param parent_resource_type: String that represents a resource type.
:type parent_resource_type: str
:param parent_resource_name: String that represents a resource name.
:type parent_resource_name: str
:param continuation_token_parameter: String that sets the continuation token.
:type continuation_token_parameter: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: An iterator like instance of either TargetListResult or the result of cls(response)
:rtype: ~azure.core.async_paging.AsyncItemPaged[~chaos_management_client.models.TargetListResult]
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["_models.TargetListResult"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-09-15-preview"
accept = "application/json"
def prepare_request(next_link=None):
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
if not next_link:
# Construct URL
url = self.list.metadata['url'] # type: ignore
path_format_arguments = {
'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', pattern=r'^[a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.\(\)]*[a-zA-Z0-9_\-\(\)]$'),
'parentProviderNamespace': self._serialize.url("parent_provider_namespace", parent_provider_namespace, 'str', pattern=r'^[a-zA-Z0-9]+\.[a-zA-Z0-9]+$'),
'parentResourceType': self._serialize.url("parent_resource_type", parent_resource_type, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'parentResourceName': self._serialize.url("parent_resource_name", parent_resource_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
if continuation_token_parameter is not None:
query_parameters['continuationToken'] = self._serialize.query("continuation_token_parameter", continuation_token_parameter, 'str')
request = self._client.get(url, query_parameters, header_parameters)
else:
url = next_link
query_parameters = {} # type: Dict[str, Any]
request = self._client.get(url, query_parameters, header_parameters)
return request
async def extract_data(pipeline_response):
deserialized = self._deserialize('TargetListResult', pipeline_response)
list_of_elem = deserialized.value
if cls:
list_of_elem = cls(list_of_elem)
return deserialized.next_link or None, AsyncList(list_of_elem)
async def get_next(next_link=None):
request = prepare_request(next_link)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
map_error(status_code=response.status_code, response=response, error_map=error_map)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
return pipeline_response
return AsyncItemPaged(
get_next, extract_data
)
list.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{parentProviderNamespace}/{parentResourceType}/{parentResourceName}/providers/Microsoft.Chaos/targets'} # type: ignore
async def get(
self,
resource_group_name: str,
parent_provider_namespace: str,
parent_resource_type: str,
parent_resource_name: str,
target_name: str,
**kwargs: Any
) -> "_models.Target":
"""Get a Target resource that extends a tracked regional resource.
:param resource_group_name: String that represents an Azure resource group.
:type resource_group_name: str
:param parent_provider_namespace: String that represents a resource provider namespace.
:type parent_provider_namespace: str
:param parent_resource_type: String that represents a resource type.
:type parent_resource_type: str
:param parent_resource_name: String that represents a resource name.
:type parent_resource_name: str
:param target_name: String that represents a Target resource name.
:type target_name: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: Target, or the result of cls(response)
:rtype: ~chaos_management_client.models.Target
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["_models.Target"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-09-15-preview"
accept = "application/json"
# Construct URL
url = self.get.metadata['url'] # type: ignore
path_format_arguments = {
'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', pattern=r'^[a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.\(\)]*[a-zA-Z0-9_\-\(\)]$'),
'parentProviderNamespace': self._serialize.url("parent_provider_namespace", parent_provider_namespace, 'str', pattern=r'^[a-zA-Z0-9]+\.[a-zA-Z0-9]+$'),
'parentResourceType': self._serialize.url("parent_resource_type", parent_resource_type, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'parentResourceName': self._serialize.url("parent_resource_name", parent_resource_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'targetName': self._serialize.url("target_name", target_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.get(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('Target', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{parentProviderNamespace}/{parentResourceType}/{parentResourceName}/providers/Microsoft.Chaos/targets/{targetName}'} # type: ignore
async def delete(
self,
resource_group_name: str,
parent_provider_namespace: str,
parent_resource_type: str,
parent_resource_name: str,
target_name: str,
**kwargs: Any
) -> None:
"""Delete a Target resource that extends a tracked regional resource.
:param resource_group_name: String that represents an Azure resource group.
:type resource_group_name: str
:param parent_provider_namespace: String that represents a resource provider namespace.
:type parent_provider_namespace: str
:param parent_resource_type: String that represents a resource type.
:type parent_resource_type: str
:param parent_resource_name: String that represents a resource name.
:type parent_resource_name: str
:param target_name: String that represents a Target resource name.
:type target_name: str
:keyword callable cls: A custom type or function that will be passed the direct response
:return: None, or the result of cls(response)
:rtype: None
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType[None]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-09-15-preview"
accept = "application/json"
# Construct URL
url = self.delete.metadata['url'] # type: ignore
path_format_arguments = {
'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', pattern=r'^[a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.\(\)]*[a-zA-Z0-9_\-\(\)]$'),
'parentProviderNamespace': self._serialize.url("parent_provider_namespace", parent_provider_namespace, 'str', pattern=r'^[a-zA-Z0-9]+\.[a-zA-Z0-9]+$'),
'parentResourceType': self._serialize.url("parent_resource_type", parent_resource_type, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'parentResourceName': self._serialize.url("parent_resource_name", parent_resource_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'targetName': self._serialize.url("target_name", target_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
request = self._client.delete(url, query_parameters, header_parameters)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200, 204]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
if cls:
return cls(pipeline_response, None, {})
delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{parentProviderNamespace}/{parentResourceType}/{parentResourceName}/providers/Microsoft.Chaos/targets/{targetName}'} # type: ignore
async def create_or_update(
self,
resource_group_name: str,
parent_provider_namespace: str,
parent_resource_type: str,
parent_resource_name: str,
target_name: str,
target: "_models.Target",
**kwargs: Any
) -> "_models.Target":
"""Create or update a Target resource that extends a tracked regional resource.
:param resource_group_name: String that represents an Azure resource group.
:type resource_group_name: str
:param parent_provider_namespace: String that represents a resource provider namespace.
:type parent_provider_namespace: str
:param parent_resource_type: String that represents a resource type.
:type parent_resource_type: str
:param parent_resource_name: String that represents a resource name.
:type parent_resource_name: str
:param target_name: String that represents a Target resource name.
:type target_name: str
:param target: Target resource to be created or updated.
:type target: ~chaos_management_client.models.Target
:keyword callable cls: A custom type or function that will be passed the direct response
:return: Target, or the result of cls(response)
:rtype: ~chaos_management_client.models.Target
:raises: ~azure.core.exceptions.HttpResponseError
"""
cls = kwargs.pop('cls', None) # type: ClsType["_models.Target"]
error_map = {
401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
}
error_map.update(kwargs.pop('error_map', {}))
api_version = "2021-09-15-preview"
content_type = kwargs.pop("content_type", "application/json")
accept = "application/json"
# Construct URL
url = self.create_or_update.metadata['url'] # type: ignore
path_format_arguments = {
'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str', pattern=r'^[a-fA-F0-9]{8}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{4}-[a-fA-F0-9]{12}$'),
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.\(\)]*[a-zA-Z0-9_\-\(\)]$'),
'parentProviderNamespace': self._serialize.url("parent_provider_namespace", parent_provider_namespace, 'str', pattern=r'^[a-zA-Z0-9]+\.[a-zA-Z0-9]+$'),
'parentResourceType': self._serialize.url("parent_resource_type", parent_resource_type, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'parentResourceName': self._serialize.url("parent_resource_name", parent_resource_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
'targetName': self._serialize.url("target_name", target_name, 'str', pattern=r'^[a-zA-Z0-9_\-\.]+$'),
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {} # type: Dict[str, Any]
query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')
# Construct headers
header_parameters = {} # type: Dict[str, Any]
header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')
body_content_kwargs = {} # type: Dict[str, Any]
body_content = self._serialize.body(target, 'Target')
body_content_kwargs['content'] = body_content
request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
response = pipeline_response.http_response
if response.status_code not in [200]:
map_error(status_code=response.status_code, response=response, error_map=error_map)
error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, response)
raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
deserialized = self._deserialize('Target', pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {})
return deserialized
create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{parentProviderNamespace}/{parentResourceType}/{parentResourceName}/providers/Microsoft.Chaos/targets/{targetName}'} # type: ignore
| 55.538682 | 250 | 0.670588 |
8eacf3514ad762e80438a0df296904a2aba65dfa | 1,403 | py | Python | count_hands.py | zimolzak/poker-experiments | 796942993d08810464b10cee09a3df26aec309f0 | [
"MIT"
] | 2 | 2017-09-10T11:04:56.000Z | 2021-08-05T17:57:42.000Z | count_hands.py | zimolzak/poker-experiments | 796942993d08810464b10cee09a3df26aec309f0 | [
"MIT"
] | 5 | 2016-11-06T14:08:15.000Z | 2016-11-07T13:33:31.000Z | count_hands.py | zimolzak/poker-experiments | 796942993d08810464b10cee09a3df26aec309f0 | [
"MIT"
] | null | null | null | from pokermodules.convenience_hole import HR, deck_choose_2, numbers_of_hole_cards, numbers_of_hole_cards_random
standard_order = [] # Becomes list of strings ['AA', 'KK', 'QQ', ... 'AKs', ...]
ranks = 'AKQJT98765432'
for c in ranks:
standard_order += [c+c] #pairs
for a in ranks:
for b in ranks:
if ranks.index(a) >= ranks.index(b):
continue
standard_order += [a+b+'s'] #suited
for a in ranks:
for b in ranks:
if ranks.index(a) >= ranks.index(b):
continue
standard_order += [a+b] #off suit
print "According to theory\n========"
[Table, cells] = numbers_of_hole_cards()
for s in standard_order:
print s, Table[s], '\t',
print
print
print sum(Table.values())
print
print
print "According to table 'HR'\n========"
HR_tot = sum([row['n'] for row in HR])
float_tot = 0
for s in standard_order:
for row in HR:
if row['h'] == s:
n_hands = float(row['n']) / HR_tot * deck_choose_2
float_tot += n_hands
print s, round(n_hands, 2), ' ',
print
print
print float_tot
print
print
print "According to random\n========"
T2 = numbers_of_hole_cards_random(100000) # or try 115591080!
T2_tot = sum(T2.values())
float_tot = 0
for s in standard_order:
n_hands = float(T2[s]) / T2_tot * deck_choose_2
float_tot += n_hands
print s, round(n_hands, 1), '\t',
print
print
print float_tot
| 25.981481 | 112 | 0.632217 |
6f220b963f71213fb2ee5ed435a97c96abf836b1 | 4,025 | py | Python | misc/libs/helper.py | matt-biss/forensics-evidence | 3484498eb2ca17e72cbfdad0178a837e92ec96b9 | [
"MIT"
] | null | null | null | misc/libs/helper.py | matt-biss/forensics-evidence | 3484498eb2ca17e72cbfdad0178a837e92ec96b9 | [
"MIT"
] | null | null | null | misc/libs/helper.py | matt-biss/forensics-evidence | 3484498eb2ca17e72cbfdad0178a837e92ec96b9 | [
"MIT"
] | null | null | null | import os
import difflib
import configparser
def get_win_machine_name():
"""
Checks for misc/names.cfg and returns the value of win_machine_name if existing
:return: value of win_machine_name in names.cfg
"""
if os.path.exists('misc/names.cfg'):
config_path = 'misc/names.cfg'
elif os.path.exists('names.cfg'):
config_path = 'names.cfg'
config = configparser.ConfigParser()
config.read(config_path)
return config.get('names', 'win_machine_name', fallback='win7-x86')
def get_linux_machine_name():
"""
Checks for misc/names.cfg and returns the value of linux_machine_name if existing
:return: Value of linux_machine_name in names.cfg
"""
if os.path.exists('misc/names.cfg'):
config_path = 'misc/names.cfg'
elif os.path.exists('names.cfg'):
config_path = 'names.cfg'
config = configparser.ConfigParser()
config.read(config_path)
return config.get('names', 'linux_machine_name', fallback='ST_fiwalk')
def get_path_to_shared_folder():
"""
Checks for misc/names.cfg and returns the value of path_to_shared_folder if existing
:return: Path to shared folder of names.cfg
"""
if os.path.exists('misc/names.cfg'):
config_path = 'misc/names.cfg'
elif os.path.exists('names.cfg'):
config_path = 'names.cfg'
config = configparser.ConfigParser()
config.read(config_path)
path_to_shared_folder = config.get('path', 'path_to_shared_folder', fallback='')
# if not path_to_shared_folder[-1] == '/':
# path_to_shared_folder += '/'
return path_to_shared_folder
def set_config_value(section, key, value):
config = configparser.ConfigParser()
config.read('misc/names.cfg')
if not config.has_section(section):
config.add_section(section)
config[section][key] = value
with open('misc/names.cfg', 'w') as config_file:
config.write(config_file)
def get_config_value(section, key):
config = configparser.ConfigParser()
config.read('misc/names.cfg')
if config.has_section(section):
if config.has_option(key):
return config.get(section, key)
return None
def compare_two_files(file1, file2, separator=None, columns=1):
"""
Compares to files with number of given columns seperated by seperator
and returns the unique lines of file 1
:param file1: File thats unique lines are searched
:param file2: File thats lines will be compared to File 1
:param separator: Character that separates columns in both files
:param columns: Number of columns if not the whole line should be in comparison
:return: List of unique lines in File 1
"""
list1 = []
list2 = []
with open(file1, 'r') as f1:
lines = f1.readlines()
if not separator:
list1 = lines
else:
# jetzt wird die Zeile auf die gewünschte Anzahl an Spalten gekürzt
for line in lines:
line_members = line.split(separator)
cut_line = str(line_members[0]).strip()
for i in range(1, columns):
cut_line = cut_line + '\t' + str(line_members[i]).strip()
list1.append(cut_line)
with open(file2, 'r') as f2:
lines = f2.readlines()
if not separator:
list2 = lines
else:
for line in lines:
line_members = line.split(separator)
cut_line = str(line_members[0])
for i in range(1, columns):
cut_line = cut_line + '\t' + str(line_members[i])
list2.append(cut_line)
# Vergleichsfunktion aus difflib
diff = difflib.Differ()
result = list(diff.compare(list1, list2))
return_list = []
for entry in result:
# - am Beginn der Zeile bedeutet, dass dieser Eintrag nur in list1 vorkommt, genau die wollen wir hier haben
if entry[0] == '-':
return_list.append(entry[2:])
return return_list
| 34.401709 | 116 | 0.640248 |
0ceeeb13a5044bcf00f9b9bf5b3128a95bc4ddc0 | 1,320 | py | Python | gym_miniworld/envs/__init__.py | ptigas/tmaze | e0f4cb7e2f9d52663256ae95c1e9bbc41793de27 | [
"Apache-2.0"
] | 1 | 2021-06-17T14:05:35.000Z | 2021-06-17T14:05:35.000Z | gym_miniworld/envs/__init__.py | ptigas/tmaze | e0f4cb7e2f9d52663256ae95c1e9bbc41793de27 | [
"Apache-2.0"
] | null | null | null | gym_miniworld/envs/__init__.py | ptigas/tmaze | e0f4cb7e2f9d52663256ae95c1e9bbc41793de27 | [
"Apache-2.0"
] | null | null | null | import inspect
import gym
from .remotebot import *
from .hallway import *
from .oneroom import *
from .roomobjs import *
from .pickupobjs import *
from .tmaze import *
from .tmazecue import *
from .treasurescue import *
from .ymaze import *
from .maze import *
from .fourrooms import *
from .threerooms import *
from .wallgap import *
from .sidewalk import *
from .putnext import *
from .collecthealth import *
from .simtorealgoto import *
from .simtorealpush import *
from .preferences import *
# Registered environment ids
env_ids = []
def register_envs():
module_name = __name__
global_vars = globals()
# Iterate through global names
for global_name in sorted(list(global_vars.keys())):
env_class = global_vars[global_name]
if not inspect.isclass(env_class):
continue
if not issubclass(env_class, gym.core.Env):
continue
if env_class is MiniWorldEnv:
continue
# Register the environment with OpenAI Gym
gym_id = 'MiniWorld-%s-v0' % (global_name)
entry_point = '%s:%s' % (module_name, global_name)
gym.envs.registration.register(
id=gym_id,
entry_point=entry_point,
)
env_ids.append(gym_id)
#print('Registered env:', gym_id)
register_envs()
| 22.372881 | 58 | 0.668182 |
73c3da09fa9f711e2ea152fc367d6c12fc9f1db2 | 1,086 | py | Python | test.py | zeevneumeier/abafilter | 0e82ba2a16d13ac7f5db00e01e69877c915014cc | [
"MIT"
] | null | null | null | test.py | zeevneumeier/abafilter | 0e82ba2a16d13ac7f5db00e01e69877c915014cc | [
"MIT"
] | null | null | null | test.py | zeevneumeier/abafilter | 0e82ba2a16d13ac7f5db00e01e69877c915014cc | [
"MIT"
] | null | null | null | import os
import sys
import syslog
from gtts import gTTS
from io import BytesIO
import pygame
import hashlib
import pydub
def playNag(message):
print("nagger.playNag(%s)" % message)
filename = "/tmp/abafilter_nag_%s.wav" % hashlib.md5(message.encode('utf-8')).hexdigest()
if not os.path.exists(filename):
print (filename, "not found. Generating")
myobj = gTTS(text=message, lang='en', slow=False)
myobj.save("/tmp/abafilter_nag_temp.mp3")
sound = pydub.AudioSegment.from_mp3("/tmp/abafilter_nag_temp.mp3")
sound.export(filename, format="wav")
pygame.mixer.init(24000, -16, 1, 2048)
clock = pygame.time.Clock()
try:
pygame.mixer.music.load(filename)
except pygame.error:
print("nagger.playNag(%s) ERROR" % message, pygame.get_error())
return
pygame.mixer.music.play()
while pygame.mixer.music.get_busy():
# check if playback has finished
clock.tick(30)
print("nagger.playNag(%s) done" % message)
playNag("this is a test")
| 24.681818 | 93 | 0.641805 |
91d5ddea07639beeae08c2b432aa36d3577d722b | 5,741 | py | Python | tests/S3Middleware/test_s3_middleware.py | bcsummers/falcon-provider-storage | 8c5847dd1b1ad80cb9baaa9d045a1eb6210cafcc | [
"Apache-2.0"
] | null | null | null | tests/S3Middleware/test_s3_middleware.py | bcsummers/falcon-provider-storage | 8c5847dd1b1ad80cb9baaa9d045a1eb6210cafcc | [
"Apache-2.0"
] | null | null | null | tests/S3Middleware/test_s3_middleware.py | bcsummers/falcon-provider-storage | 8c5847dd1b1ad80cb9baaa9d045a1eb6210cafcc | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test hooks feature of falcon_provider_memcache module."""
# standard library
import binascii
import io
import json
import os
from typing import Tuple
from uuid import uuid4
# third-party
import botocore
from falcon.testing import Result
def create_multipart_formdata(fields: list) -> Tuple[str, dict]:
"""Create form data.
Args:
fields: The list of fields to create.
Returns:
tuple: The request body and headers
"""
random: str = binascii.hexlify(os.urandom(16)).decode('ascii')
boundary = f'----WebKitFormBoundary{random}'
body = []
for field, value in fields.items():
body.append(f'--{boundary}\r\n')
if isinstance(value, dict):
filename: str = value.get('filename')
value: str = value.get('content')
body.append(
f'Content-Disposition: form-data; name="{field}"; filename="{filename}"\r\n\r\n'
)
# body.append(f'Content-Type: text/plain\r\n\r\n')
else:
body.append(f'Content-Disposition: form-data; name="{field}"\r\n\r\n')
# add value
body.append(f'{value}\r\n')
body.append(f'--{boundary}--\r\n')
body = ''.join(body)
headers = {
'content-type': f'multipart/form-data; boundary={boundary}',
# 'content-length': str(len(body)),
}
return body, headers
def test_s3_file_delete(
client_s3_storage_1: object, s3_client: object, s3_resource: object, s3_bucket: str
) -> None:
"""Testing DELETE resource
Args:
client_s3_storage_1 (fixture): The test client.
s3_client (fixture): A S3 client object.
s3_resource (fixture): A S3 resource object.
s3_bucket (fixture): The s3 bucket name.
"""
key = f'{uuid4()}'
contents: object = io.BytesIO(key.encode())
# create file in storage to read
contents.seek(0)
s3_client.upload_fileobj(
contents, s3_bucket, f'{key}.txt', ExtraArgs={'ContentType': 'text/plain'}
)
params = {'filename': f'{key}.txt'}
response: Result = client_s3_storage_1.simulate_delete('/middleware', params=params)
assert response.status_code == 204
try:
s3_resource.Object(s3_bucket, f'{key}.txt').load()
assert False, 'File was not deleted'
except botocore.exceptions.ClientError:
assert True
def test_s3_file_delete_404(client_s3_storage_1: object) -> None:
"""Testing DELETE resource
Args:
client_s3_storage_1 (fixture): The test client.
"""
key = f'{uuid4()}'
params = {'filename': f'{key}.txt'}
response: Result = client_s3_storage_1.simulate_delete('/middleware', params=params)
assert response.status_code == 404
def test_s3_file_exists(
client_s3_storage_1: object, s3_client: object, s3_resource: object, s3_bucket: str
) -> None:
"""Testing GET resource
Args:
client_s3_storage_1 (fixture): The test client.
s3_client (fixture): A S3 client object.
s3_resource (fixture): A S3 resource object.
s3_bucket (fixture): The s3 bucket name.
"""
key = f'{uuid4()}'
contents = io.BytesIO(key.encode())
# create file in storage to read
contents.seek(0)
s3_client.upload_fileobj(
contents, s3_bucket, f'{key}.txt', ExtraArgs={'ContentType': 'text/plain'}
)
params = {'filename': f'{key}.txt'}
response: Result = client_s3_storage_1.simulate_get('/middleware', params=params)
assert response.status_code == 200
assert response.text == key
s3_resource.Object(s3_bucket, f'{key}.txt').delete()
def test_s3_does_not_exists(client_s3_storage_1: object) -> None:
"""Testing GET resource
Args:
client_s3_storage_1 (fixture): The test client.
"""
params = {'filename': 'non-existent-file.txt'}
response: Result = client_s3_storage_1.simulate_get('/middleware', params=params)
assert response.status_code == 500
response_data = json.loads(response.text)
assert response_data.get('title') == 'Internal Server Error'
def test_s3_file_upload(
client_s3_storage_1: object, s3_client: object, s3_resource: object, s3_bucket: str
) -> None:
"""Testing POST resource
Args:
client_s3_storage_1 (fixture): The test client.
s3_client (fixture): A S3 client object.
s3_resource (fixture): A S3 resource object.
s3_bucket (fixture): The s3 bucket name.
"""
file_key = f'{uuid4()}'
# fields
fields = {'file': {'filename': f'{file_key}.txt', 'content': file_key}}
fields.update({'key': file_key})
# multi-part data
data, headers = create_multipart_formdata(fields)
response: Result = client_s3_storage_1.simulate_post('/middleware', body=data, headers=headers)
assert response.status_code == 200
assert response.text == f'{file_key}.txt'
assert (
s3_client.get_object(Bucket=s3_bucket, Key=f'{file_key}.txt').get('Body').read().decode()
== file_key
)
s3_resource.Object(s3_bucket, f'{file_key}.txt').delete()
def test_s3_file_upload_fail(client_s3_storage_2: object) -> None:
"""Testing POST resource
Args:
client_s3_storage_2 (fixture): The test client.
"""
file_key = f'{uuid4()}'
# fields
fields = {'file': {'filename': f'sub1/{file_key}.txt', 'content': file_key}}
fields.update({'key': file_key})
# multi-part data
data, headers = create_multipart_formdata(fields)
response: Result = client_s3_storage_2.simulate_post('/middleware', body=data, headers=headers)
assert response.status_code == 500
response_data = json.loads(response.text)
assert response_data.get('title') == 'Internal Server Error'
| 30.700535 | 99 | 0.652325 |
577dce42741d6e0c9855aceae68f7bc923619470 | 1,826 | py | Python | vis_dropout.py | RealMarco/GRConvNetCode | 6a2f4115c53e5c794d5a7ae23f1ec24cc58870af | [
"BSD-3-Clause"
] | null | null | null | vis_dropout.py | RealMarco/GRConvNetCode | 6a2f4115c53e5c794d5a7ae23f1ec24cc58870af | [
"BSD-3-Clause"
] | null | null | null | vis_dropout.py | RealMarco/GRConvNetCode | 6a2f4115c53e5c794d5a7ae23f1ec24cc58870af | [
"BSD-3-Clause"
] | null | null | null | import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
from io import StringIO
plt.figure(1)
#font = FontProperties(fname=r'C:\Windows\Fonts\simhei.ttf')
#plt.plot([0,29],[0.90,0.90],color='k',linestyle='--',linewidth=0.4)
#plt.plot([0,29],[0.80,0.80],color='k',linestyle='--',linewidth=0.4)
net0 = pd.read_csv(r'F:\OD and GD Based on DL\Results Samples\run-1st_OW_no_dropout_smooth0-tag-loss_IOU.csv', usecols=['Step', 'Value'])
plt.plot(net0.Step, net0.Value, lw=1.5, label='Without Dropout', color='pink',linestyle='--')
net1 = pd.read_csv(r'F:\OD and GD Based on DL\Results Samples\run-1st_OW_original_smooth0-tag-loss_IOU.csv', usecols=['Step', 'Value'])
plt.plot(net1.Step, net1.Value, lw=1.5, label='With Dropout', color='red')
title1= '1st Test Accuracy - Dropout - OW'
plt.title(title1)
plt.legend(loc='lower right')
plt.xlim((0,43))
plt.xlabel('Number of Epochs') #fontproperties=font
plt.ylabel('Test Accuracy')
plt.savefig(r'F:\OD and GD Based on DL\Results Samples\%s.svg' % (title1))
plt.show()
#-----------
plt.figure(2)
net2 = pd.read_csv(r"F:\OD and GD Based on DL\Results Samples\run-1st_OW_no_dropout_smooth0-tag-loss_train_loss.csv", usecols=['Step', 'Value'])
plt.plot(net2.Step, net2.Value, lw=1.5, label='Without Dropout', color='cyan',linestyle='--')
net3 = pd.read_csv(r"F:\OD and GD Based on DL\Results Samples\run-1st_OW_original_smooth0-tag-loss_train_loss.csv", usecols=['Step', 'Value'])
plt.plot(net3.Step, net3.Value, lw=1.5, label='With Dropout', color='blue')
title1= '1st Training Loss - Dropout- OW'
plt.title(title1)
plt.legend(loc='upper right')
plt.xlim((0,43))
plt.xlabel('Number of Epochs') #fontproperties=font
plt.ylabel('Training Loss')
plt.savefig(r'F:\OD and GD Based on DL\Results Samples\%s.svg' % (title1))
plt.show()
| 39.695652 | 144 | 0.719606 |
f5982797bd0944c0683a1dbe8afa5e09370d0191 | 771 | py | Python | src/py/util/primerator.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | src/py/util/primerator.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | src/py/util/primerator.py | cgnik/euler | fe70459a0e0d0272980300a4782872f2e545fea5 | [
"MIT"
] | null | null | null | from multiprocessing import Pool
from util.factoring import is_prime_quick
class Primerator:
def __init__(self, limit):
self.limit = limit
def _candidate_generator_(self):
for x in range(3, self.limit, 2):
yield x
def _one_thread_(self, candidate):
if candidate % 100000 == 1: print('.', end='', flush=True)
return candidate, is_prime_quick(candidate)
def _filter_primes_(self, candidates):
return filter(lambda x: x[1], candidates)
def primes(self, thread_count=8):
p = Pool(thread_count)
results = p.map(self._one_thread_, self._candidate_generator_())
answers = [2]
answers.extend(map(lambda y: y[0], self._filter_primes_(results)))
return answers
| 27.535714 | 74 | 0.651102 |
5e2ab2bc86bd1dab83ad3e0fda6473a3fe74fcd9 | 4,486 | py | Python | tests/bootstrap_builders.py | priyankaanehra/regolith | 393c8a88eb7657d1ae5ea017e2cd0b72ed981e8f | [
"CC0-1.0"
] | 7 | 2018-07-20T19:19:23.000Z | 2022-02-02T20:48:15.000Z | tests/bootstrap_builders.py | priyankaanehra/regolith | 393c8a88eb7657d1ae5ea017e2cd0b72ed981e8f | [
"CC0-1.0"
] | 822 | 2017-11-06T21:54:58.000Z | 2022-03-31T12:25:41.000Z | tests/bootstrap_builders.py | priyankaanehra/regolith | 393c8a88eb7657d1ae5ea017e2cd0b72ed981e8f | [
"CC0-1.0"
] | 43 | 2018-01-05T20:35:21.000Z | 2022-03-24T00:13:03.000Z | import json
import os
import shutil
from xonsh.lib import subprocess
import sys
import tempfile
from copy import deepcopy
from regolith.broker import load_db
from regolith.fsclient import dump_yaml
from regolith.schemas import EXEMPLARS
from regolith.main import main
builder_map = [
"cv",
"html",
"resume",
"publist",
"current-pending",
"preslist",
"figure",
"reimb",
]
def prep_figure():
# Make latex file with some jinja2 in it
text = r"""
\include{ {{-get_file_path(db['groups']['ergs'], 'hello')-}}}"""
with open("figure.tex", "w") as f:
f.write(text)
# make file to be loaded
os.makedirs("fig", exist_ok=True)
with open("fig/hello.txt", "w") as f:
f.write("hello world")
# load the db and register the file
db = load_db()
print(db.get_file_path(db["groups"]["ergs"], "hello"))
if not db.get_file_path(db["groups"]["ergs"], "hello"):
db.add_file(db["groups"]["ergs"], "hello", "fig/hello.txt")
def rmtree(dirname):
"""Remove a directory, even if it has read-only files (Windows).
Git creates read-only files that must be removed on teardown. See
https://stackoverflow.com/questions/2656322 for more info.
Parameters
----------
dirname : str
Directory to be removed
"""
try:
shutil.rmtree(dirname)
except PermissionError:
if sys.platform == "win32":
subprocess.check_call(["del", "/F/S/Q", dirname], shell=True)
else:
raise
def make_db():
"""A test fixutre that creates and destroys a git repo in a temporary
directory.
This will yield the path to the repo.
"""
cwd = os.getcwd()
name = "regolith_fake"
repo = os.path.join(tempfile.gettempdir(), name)
if os.path.exists(repo):
rmtree(repo)
subprocess.run(["git", "init", repo])
os.chdir(repo)
with open("README", "w") as f:
f.write("testing " + name)
with open("regolithrc.json", "w") as f:
json.dump(
{
"groupname": "ERGS",
"databases": [
{
"name": "test",
"url": repo,
"public": True,
"path": "db",
"local": True,
}
],
"stores": [
{
"name": "store",
"url": repo,
"path": repo,
"public": True,
}
],
"force": False,
},
f,
)
os.mkdir("db")
# Write collection docs
for coll, example in deepcopy(EXEMPLARS).items():
if isinstance(example, list):
d = {dd["_id"]: dd for dd in example}
else:
d = {example["_id"]: example}
dump_yaml("db/{}.yaml".format(coll), d)
subprocess.run(["git", "add", "."])
subprocess.run(["git", "commit", "-am", "Initial readme"])
yield repo
os.chdir(cwd)
rmtree(repo)
expected_base = os.path.join(os.path.abspath(os.path.dirname(__file__)), "outputs")
def bootstrap_builders():
g = make_db()
repo = next(g)
os.chdir(repo)
for bm in builder_map:
if bm == "html":
os.makedirs("templates/static")
if bm == "figure":
prep_figure()
main(["build", bm, "--no-pdf"])
os.chdir(os.path.join(repo, "_build", bm))
os.makedirs(expected_base, exist_ok=True)
for root, dirs, files in os.walk("."):
for file in files:
# Use this for bootstrapping the tests,
# confirm by hand that files look correct
if root == ".":
os.makedirs(os.path.join(expected_base, bm), exist_ok=True)
shutil.copyfile(
os.path.join(file),
os.path.join(expected_base, bm, file),
)
else:
os.makedirs(
os.path.join(expected_base, bm, root), exist_ok=True
)
shutil.copyfile(
os.path.join(root, file),
os.path.join(expected_base, bm, root, file),
)
os.chdir(repo)
next(g)
if __name__ == "__main__":
bootstrap_builders()
| 28.75641 | 83 | 0.50379 |
8c3bde5c77419950de0e1e7f3907a5ea1df9044a | 2,236 | py | Python | archigan/pipeline.py | ctogle/archigan | 5ba10e2fdfd612606c479aaf5b517799d41967b0 | [
"MIT"
] | 23 | 2020-09-07T03:27:36.000Z | 2022-03-27T19:21:19.000Z | archigan/pipeline.py | ctogle/archigan | 5ba10e2fdfd612606c479aaf5b517799d41967b0 | [
"MIT"
] | null | null | null | archigan/pipeline.py | ctogle/archigan | 5ba10e2fdfd612606c479aaf5b517799d41967b0 | [
"MIT"
] | 4 | 2021-05-11T04:17:52.000Z | 2022-03-27T19:21:21.000Z | import os
import cv2
import numpy as np
from tqdm import tqdm
#import argparse
#from multiprocessing import Pool
class ArchiPipeline:
"""
Args:
layers (list):
stages (list):
"""
def __init__(self, layers, stages):
self.layers = layers
self.stages = stages
@staticmethod
def combineAB(path_A, path_B, path_AB):
"""Combine images at `path_A` and `path_B` into new image at `path_AB`
from: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/datasets/combine_A_and_B.py#L8
"""
im_A = cv2.imread(path_A, 1)
im_B = cv2.imread(path_B, 1)
im_AB = np.concatenate([im_A, im_B], 1)
cv2.imwrite(path_AB, im_AB)
@staticmethod
def splits(N, val=0.05, test=0.05, train=0.9):
"""Create list of list of indices for splitting data"""
index = np.random.permutation(N)
piles = [[], [], []]
thresholds = [int(x * N) for x in (val, test, train)]
pile = 0
for j in index:
piles[pile].append(j)
if len(piles[pile]) > thresholds[pile]:
pile += 1
return piles
def setup_training(self, directory):
"""Prepare combined images and splits for training"""
for u, v in self.stages:
x, y = self.layers[u], self.layers[v]
z = '__'.join((os.path.basename(x), os.path.basename(y)))
z = os.path.join(directory, z)
os.makedirs(z, exist_ok=True)
fs = os.listdir(x)
splits = self.splits(len(fs))
splitnames = ('val', 'test', 'train')
with tqdm(total=len(fs)) as pbar:
for split, splitname in zip(splits, splitnames):
split = [fs[j] for j in split]
os.makedirs(os.path.join(z, splitname), exist_ok=True)
pbar.set_description(f'{len(split)} samples in {splitname}')
for f in split:
g = os.path.join(x, f)
h = os.path.join(y, f)
l = os.path.join(z, splitname, f)
self.combineAB(g, h, l)
pbar.update(1)
| 33.878788 | 116 | 0.531753 |
d8fb66aa6f1f306c776aa5528dc65a57f7fde134 | 8,087 | py | Python | test/functional/test_framework/authproxy.py | orobio/gulden-official | a329faf163b15eabc7ff1d9f07ea87f66df8d27d | [
"MIT"
] | 158 | 2016-01-08T10:38:37.000Z | 2022-02-01T06:28:05.000Z | test/functional/test_framework/authproxy.py | orobio/gulden-official | a329faf163b15eabc7ff1d9f07ea87f66df8d27d | [
"MIT"
] | 196 | 2015-11-19T10:59:24.000Z | 2021-10-07T14:52:13.000Z | test/functional/test_framework/authproxy.py | orobio/gulden-official | a329faf163b15eabc7ff1d9f07ea87f66df8d27d | [
"MIT"
] | 71 | 2016-06-25T23:29:04.000Z | 2022-03-14T10:57:19.000Z | # Copyright (c) 2011 Jeff Garzik
#
# Previous copyright, from python-jsonrpc/jsonrpc/proxy.py:
#
# Copyright (c) 2007 Jan-Klaas Kollhof
#
# This file is part of jsonrpc.
#
# jsonrpc is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation; either version 2.1 of the License, or
# (at your option) any later version.
#
# This software is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this software; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
"""HTTP proxy for opening RPC connection to GuldenD.
AuthServiceProxy has the following improvements over python-jsonrpc's
ServiceProxy class:
- HTTP connections persist for the life of the AuthServiceProxy object
(if server supports HTTP/1.1)
- sends protocol 'version', per JSON-RPC 1.1
- sends proper, incrementing 'id'
- sends Basic HTTP authentication headers
- parses all JSON numbers that look like floats as Decimal
- uses standard Python json lib
"""
import base64
import decimal
import http.client
import json
import logging
import os
import socket
import time
import urllib.parse
HTTP_TIMEOUT = 30
USER_AGENT = "AuthServiceProxy/0.1"
log = logging.getLogger("GuldenRPC")
class JSONRPCException(Exception):
def __init__(self, rpc_error):
try:
errmsg = '%(message)s (%(code)i)' % rpc_error
except (KeyError, TypeError):
errmsg = ''
super().__init__(errmsg)
self.error = rpc_error
def EncodeDecimal(o):
if isinstance(o, decimal.Decimal):
return str(o)
raise TypeError(repr(o) + " is not JSON serializable")
class AuthServiceProxy():
__id_count = 0
# ensure_ascii: escape unicode as \uXXXX, passed to json.dumps
def __init__(self, service_url, service_name=None, timeout=HTTP_TIMEOUT, connection=None, ensure_ascii=True):
self.__service_url = service_url
self._service_name = service_name
self.ensure_ascii = ensure_ascii # can be toggled on the fly by tests
self.__url = urllib.parse.urlparse(service_url)
user = None if self.__url.username is None else self.__url.username.encode('utf8')
passwd = None if self.__url.password is None else self.__url.password.encode('utf8')
authpair = user + b':' + passwd
self.__auth_header = b'Basic ' + base64.b64encode(authpair)
self.timeout = timeout
self._set_conn(connection)
def __getattr__(self, name):
if name.startswith('__') and name.endswith('__'):
# Python internal stuff
raise AttributeError
if self._service_name is not None:
name = "%s.%s" % (self._service_name, name)
return AuthServiceProxy(self.__service_url, name, connection=self.__conn)
def _request(self, method, path, postdata):
'''
Do a HTTP request, with retry if we get disconnected (e.g. due to a timeout).
This is a workaround for https://bugs.python.org/issue3566 which is fixed in Python 3.5.
'''
headers = {'Host': self.__url.hostname,
'User-Agent': USER_AGENT,
'Authorization': self.__auth_header,
'Content-type': 'application/json'}
if os.name == 'nt':
# Windows somehow does not like to re-use connections
# TODO: Find out why the connection would disconnect occasionally and make it reusable on Windows
self._set_conn()
try:
self.__conn.request(method, path, postdata, headers)
return self._get_response()
except http.client.BadStatusLine as e:
if e.line == "''": # if connection was closed, try again
self.__conn.close()
self.__conn.request(method, path, postdata, headers)
return self._get_response()
else:
raise
except (BrokenPipeError, ConnectionResetError):
# Python 3.5+ raises BrokenPipeError instead of BadStatusLine when the connection was reset
# ConnectionResetError happens on FreeBSD with Python 3.4
self.__conn.close()
self.__conn.request(method, path, postdata, headers)
return self._get_response()
def get_request(self, *args, **argsn):
AuthServiceProxy.__id_count += 1
log.debug("-%s-> %s %s" % (AuthServiceProxy.__id_count, self._service_name,
json.dumps(args, default=EncodeDecimal, ensure_ascii=self.ensure_ascii)))
if args and argsn:
raise ValueError('Cannot handle both named and positional arguments')
return {'version': '1.1',
'method': self._service_name,
'params': args or argsn,
'id': AuthServiceProxy.__id_count}
def __call__(self, *args, **argsn):
postdata = json.dumps(self.get_request(*args, **argsn), default=EncodeDecimal, ensure_ascii=self.ensure_ascii)
response = self._request('POST', self.__url.path, postdata.encode('utf-8'))
if response['error'] is not None:
raise JSONRPCException(response['error'])
elif 'result' not in response:
raise JSONRPCException({
'code': -343, 'message': 'missing JSON-RPC result'})
else:
return response['result']
def batch(self, rpc_call_list):
postdata = json.dumps(list(rpc_call_list), default=EncodeDecimal, ensure_ascii=self.ensure_ascii)
log.debug("--> " + postdata)
return self._request('POST', self.__url.path, postdata.encode('utf-8'))
def _get_response(self):
req_start_time = time.time()
try:
http_response = self.__conn.getresponse()
except socket.timeout:
raise JSONRPCException({
'code': -344,
'message': '%r RPC took longer than %f seconds. Consider '
'using larger timeout for calls that take '
'longer to return.' % (self._service_name,
self.__conn.timeout)})
if http_response is None:
raise JSONRPCException({
'code': -342, 'message': 'missing HTTP response from server'})
content_type = http_response.getheader('Content-Type')
if content_type != 'application/json':
raise JSONRPCException({
'code': -342, 'message': 'non-JSON HTTP response with \'%i %s\' from server' % (http_response.status, http_response.reason)})
responsedata = http_response.read().decode('utf8')
response = json.loads(responsedata, parse_float=decimal.Decimal)
elapsed = time.time() - req_start_time
if "error" in response and response["error"] is None:
log.debug("<-%s- [%.6f] %s" % (response["id"], elapsed, json.dumps(response["result"], default=EncodeDecimal, ensure_ascii=self.ensure_ascii)))
else:
log.debug("<-- [%.6f] %s" % (elapsed, responsedata))
return response
def __truediv__(self, relative_uri):
return AuthServiceProxy("{}/{}".format(self.__service_url, relative_uri), self._service_name, connection=self.__conn)
def _set_conn(self, connection=None):
port = 80 if self.__url.port is None else self.__url.port
if connection:
self.__conn = connection
self.timeout = connection.timeout
elif self.__url.scheme == 'https':
self.__conn = http.client.HTTPSConnection(self.__url.hostname, port, timeout=self.timeout)
else:
self.__conn = http.client.HTTPConnection(self.__url.hostname, port, timeout=self.timeout)
| 42.78836 | 155 | 0.643626 |
caad8840197aff5b38baa9c6f4053c896eb12496 | 2,551 | py | Python | sunpy/util/xml.py | drewleonard42/sunpy | 79ca90a032213d82d42a3657a693b20b99b22464 | [
"BSD-2-Clause"
] | null | null | null | sunpy/util/xml.py | drewleonard42/sunpy | 79ca90a032213d82d42a3657a693b20b99b22464 | [
"BSD-2-Clause"
] | null | null | null | sunpy/util/xml.py | drewleonard42/sunpy | 79ca90a032213d82d42a3657a693b20b99b22464 | [
"BSD-2-Clause"
] | null | null | null | """XML helper functions"""
from xml.dom.minidom import parseString #pylint: disable=E0611,F0401
__all__ = ['NotTextNodeError', 'xml_to_dict', 'node_to_dict', 'get_node_text']
#
# Converting XML to a Dictionary
# Author: Christoph Dietze
# URL : http://code.activestate.com/recipes/116539/
#
class NotTextNodeError(Exception):
pass
def xml_to_dict(xmlstring):
"""
Converts an XML string to a Python dictionary
.. Warning::
This method does not support multiple inner nodes of the same name but
with different values. It always takes the last value.
Examples
--------
::
<outer>
<inner>one</inner>
<inner>two</inner>
</outer>
gives you the dict::
{u'outer': {u'inner': u'two'}}
"""
return node_to_dict(parseString(xmlstring))
def node_to_dict(node):
"""
node_to_dict() scans through the children of node and makes a dictionary
from the content.
Three cases are differentiated:
1. If the node contains no other nodes, it is a text-node and
{nodeName: text} is merged into the dictionary.
2. If the node has the attribute "method" set to "true", then it's children
will be appended to a list and this list is merged to the dictionary in
the form: {nodeName:list}.
3. Else, node_to_dict() will call itself recursively on the nodes children
(merging {nodeName: node_to_dict()} to the dictionary).
"""
dic = {}
for n in node.childNodes:
if n.nodeType != n.ELEMENT_NODE:
continue
if n.getAttribute("multiple") == "true":
# node with multiple children: put them in a list
l = []
for c in n.childNodes:
if c.nodeType != n.ELEMENT_NODE:
continue
l.append(node_to_dict(c))
dic.update({n.nodeName: l})
continue
try:
text = get_node_text(n)
except NotTextNodeError:
# 'normal' node
dic.update({n.nodeName: node_to_dict(n)})
continue
# text node
dic.update({n.nodeName: text})
continue
return dic
def get_node_text(node):
"""
scans through all children of node and gathers the text. if node has
non-text child-nodes, then NotTextNodeError is raised.
"""
t = ""
for n in node.childNodes:
if n.nodeType == n.TEXT_NODE:
t += n.nodeValue
else:
raise NotTextNodeError
return t
| 27.728261 | 79 | 0.600941 |
9d8bdf974e696fbc4878ee884088c40fbd62f932 | 6,978 | py | Python | run_q_frozenlake.py | schuderer/bprl | e9820a7d0d8120776f4feac9776c66f205713075 | [
"MIT"
] | 2 | 2019-06-19T09:50:43.000Z | 2019-08-04T22:07:32.000Z | run_q_frozenlake.py | schuderer/bprl | e9820a7d0d8120776f4feac9776c66f205713075 | [
"MIT"
] | 11 | 2019-06-21T08:33:35.000Z | 2022-03-12T01:01:53.000Z | run_q_frozenlake.py | schuderer/bprl | e9820a7d0d8120776f4feac9776c66f205713075 | [
"MIT"
] | null | null | null | # Test code (simple q learner (discretized state & action space)):
#from envs.pension_env import PensionEnv
import gym
import random
import numpy as np
# todo: same as just log2-transforming, then splitting and exp2-ing?? Then maybe can handle bi-directional (0-centered) exp-splits...
def createExpSplits(high, bins, inverse):
result = []
range = high
currBin = bins - 1
currBorder = range / 2.0
while currBin > 0:
if (inverse):
result.append(currBorder)
else:
result.insert(0, currBorder)
currBin -= 1
currBorder = currBorder / 2.0
return result
def createExpGrid(highs, bins, inverse=False):
return np.array([createExpSplits(h, b, inverse) for h,b in zip(highs,bins)])
testGrid = createExpGrid([256, 1024], np.repeat([8],2))
print("testGrid:")
print(testGrid)
def discretize(vals, grid):
# from https://github.com/udacity/deep-reinforcement-learning/blob/master/discretization/Discretization_Solution.ipynb
return list(int(np.digitize(s, g)) for s, g in zip(vals, grid))
def undiscretize(indices, grid):
#print("indices",indices,"grid",grid)
#for i, g in zip(indices, grid):
# print("bla",i,g,"blu")
return list(g[int(i)] for i, g in zip(indices, grid))
print(discretize([40, 12], testGrid))
print("end of test")
#env = PensionEnv()
env = gym.make('FrozenLake-v0')
state_grid = None
statesDisc = None
print("State space", env.observation_space)
if type(env.observation_space) is gym.spaces.box.Box:
discreteStates = False
print("- low:", env.observation_space.low)
print("- high:", env.observation_space.high)
state_bins = np.repeat([10],len(env.observation_space.low))
state_grid = np.hstack((
-createExpGrid(abs(env.observation_space.low), state_bins, inverse=True),
createExpGrid(env.observation_space.high, state_bins)))
print("state_grid",state_grid)
statesDisc = gym.spaces.discrete.Discrete(len(state_grid[0])) # todo: check for missing dims
elif type(env.observation_space) is gym.spaces.discrete.Discrete:
discreteStates = True
statesDisc = env.observation_space
else:
raise NotImplementedError("Can only work with Discrete or Box type state spaces.")
action_grid = None
actionsDisc = None
print("Action space:", env.action_space)
if type(env.action_space) is gym.spaces.box.Box:
discreteActions = False
print("Action space - low:", env.action_space.low)
print("Action space - high:", env.action_space.high)
action_bins = np.repeat([10],len(env.action_space.low))
action_grid = np.hstack((
-createExpGrid(abs(env.action_space.low), action_bins, inverse=True),
createExpGrid(env.action_space.high, action_bins)))
print("action_grid",action_grid)
actionsDisc = gym.spaces.discrete.Discrete(len(action_grid[0]))
elif type(env.action_space) is gym.spaces.discrete.Discrete:
discreteActions = True
actionsDisc = env.action_space
else:
raise NotImplementedError("Can only work with Discrete or Box type action spaces.")
#disc = discretize([35, 1000, 10000], state_grid)
#print(disc)
#print(undiscretize(disc, state_grid))
def stateKeyFor(discreteObs):
if discreteObs.shape == ():
discreteObs = np.reshape(discreteObs, (1,))
return "-".join([str(elem) for elem in discreteObs])
def maxQ(discreteObs, qTable, defaultAction=0):
if discreteObs.shape == ():
discreteObs = np.reshape(discreteObs, (1,))
highestVal = -np.inf
bestActionIdx = defaultAction
keyStart = stateKeyFor(discreteObs)
for aIdx in range(0, actionsDisc.n):
key = keyStart + "-" + str(aIdx)
if key in qTable:
val = qTable[key]
if (val > highestVal):
highestVal = val
bestActionIdx = aIdx
#print("maxQ found something", key, aIdx, val)
if highestVal == -np.inf:
highestVal = 0.0
return(bestActionIdx, highestVal)
def print_q(qTable):
for s in range(statesDisc.n):
s = np.array(s)
print([qTable.get(stateKeyFor(s) + "-" + str(a), 0) for a in range(actionsDisc.n)])
def q_learn(env, alpha=0.2, gamma=0.99, epsilon=0.1, epsilon_decay=1.0, epsilon_min=0.0, episodes=100, max_steps=1000, q_table={}):
'''Generic Q-Learning algorithm. Returns the Q-Table.'''
# todo make self-contained
for episode in range(episodes):
cumReward = 0
observation = env.reset()
#print("size of q table:", len(q_table.keys()))
print("epsilon:", epsilon)
for t in range(max_steps):
#env.render()
prev_obs = np.array(observation) if discreteStates else discretize(observation, state_grid)
# Select action according to epsilon-greedy policy
actionIdx = actionsDisc.sample() # random
if random.random() > epsilon: # greedy/argmax
actionIdx = maxQ(prev_obs, q_table, defaultAction=0)[0]
action = actionIdx if discreteActions else undiscretize([actionIdx], action_grid)[0]
#print("chosen action", actionIdx)
# Take action
observation, reward, done, info = env.step(action)
curr_obs = np.array(observation) if discreteStates else discretize(observation, state_grid)
#print(maxQ(curr_obs, q_table))
# Update the state that we acted on
stateActionKey = stateKeyFor(prev_obs)+"-"+str(actionIdx)
#print(stateActionKey)
qValOld = q_table.get(stateActionKey, 0.0)
qValNew = qValOld + alpha*(reward + gamma*maxQ(curr_obs, q_table)[1] - qValOld)
#if qValOld != 0.0:
# print(stateActionKey, qValOld, "<--", qValNew)
q_table[stateActionKey] = qValNew
#h = info["human"]
#c = info["company"]
#print(info["year"], "human:", h.id, h.age, h.funds, h.lastTransaction, h.happiness, "reward:", reward, "company:", c.funds, c.reputation)
cumReward += reward
if done:
print("Episode {} finished after {} timesteps with cumulative reward {}".format(episode, t+1, cumReward))
epsilon = max(epsilon * epsilon_decay, epsilon_min)
break
return q_table
# Run Q-Learning
qTable = q_learn(env,
alpha=0.2, # temperature/learning rate
gamma=0.99, # discount factor
epsilon=1.0, # initial exploration rate for e-greedy policy
epsilon_decay=0.995, # epsilon reduction factor per episode
epsilon_min=0.01, # minimal epsilon
episodes=1000,
max_steps=10000, # abort episode after this number of steps
q_table={})
print_q(qTable)
#(year, "human:", i, h.age, fundsBefore, h.funds, h.happiness, "reward:", r, "company:", companies[0].funds, companies[0].reputation)
| 38.552486 | 150 | 0.642018 |
fa614ad8b1989eb4fc6d39b7584be2278f8cb0c1 | 8,324 | py | Python | my_own_messenger/my_own_client/client_gui.py | Rassoliny/MyOwnMess | 4a46a0738033cc952fbe6e734bc64ad24275c0ce | [
"MIT"
] | null | null | null | my_own_messenger/my_own_client/client_gui.py | Rassoliny/MyOwnMess | 4a46a0738033cc952fbe6e734bc64ad24275c0ce | [
"MIT"
] | null | null | null | my_own_messenger/my_own_client/client_gui.py | Rassoliny/MyOwnMess | 4a46a0738033cc952fbe6e734bc64ad24275c0ce | [
"MIT"
] | null | null | null | import sys
import os
from PyQt5 import QtWidgets, uic
from PyQt5.QtWidgets import (QMainWindow, QTextEdit, QLabel,
QAction, QFileDialog, QApplication)
from PyQt5.QtCore import Qt, QThread, pyqtSlot
from PyQt5.QtGui import QPixmap, QIcon
from client import User
from handlers import GuiReciever
# Получаем параметры скрипта
try:
addr = sys.argv[1]
except IndexError:
addr = 'localhost'
try:
port = int(sys.argv[2])
except IndexError:
port = 7777
except ValueError:
print('Порт должен быть целым числом')
sys.exit(0)
try:
name = sys.argv[3]
except IndexError:
name = 'Guest'
for params in sys.argv:
print(params)
# Создаем приложение
# Для отображения изображений получаем текущую директорию
parent_dir_name = (os.path.dirname(os.path.realpath(__file__))+'/')
current_path = os.path.join(parent_dir_name, 'ui_forms/')
app = QtWidgets.QApplication(sys.argv)
# грузим главную форму
window = uic.loadUi('{}main.ui'.format(current_path))
""" Показать окно создания нового чата """
chat_dialog = uic.loadUi('{}new_chat.ui'.format(current_path))
# создаем клиента на запись
client = User(name, addr, port)
# получаем список контактов с сервера, которые лежат у нас - не надежные
client.connect()
listener = GuiReciever(client.sock, client.request_queue)
@pyqtSlot(str)
def update_chat(data):
"""Отображение текущего чата"""
try:
msg = data
window.textEditChat.insertHtml('{}<br>'.format(msg))
window.textEditHistory.insertHtml('{}<br>'.format(msg))
except Exception as e:
print(e)
# сигнал мы берем из нашего GuiReciever
listener.gotData.connect(update_chat)
th = QThread()
listener.moveToThread(th)
# # ---------- Важная часть - связывание сигналов и слотов ----------
# При запуске потока будет вызван метод search_text
th.started.connect(listener.poll)
th.start()
contact_list = client.get_contacts()
def load_contacts(contacts):
"""Загрузка списка контактов"""
# чистим список
window.listWidgetContacts.clear()
# добавляем
for contact in contacts:
window.listWidgetContacts.addItem(contact)
# грузим контакты в список сразу при запуске приложения
load_contacts(contact_list)
def add_contact():
"""Добавление контакта"""
# Получаем имя из QTextEdit
try:
username = window.textEditUsername.toPlainText()
if username:
# добавляем контакт - шлем запрос на сервер ...
client.add_contact(username)
# добавляем имя в QListWidget
window.listWidgetContacts.addItem(username)
except Exception as e:
print(e)
# Связываем сигнал нажатия кнопки добавить со слотом функцией добавить контакт
window.pushButtonAddContact.clicked.connect(add_contact)
def del_contact():
try:
"""Удаление контакта"""
# получаем выбранный элемент в QListWidget
current_item = window.listWidgetContacts.currentItem()
# получаем текст - это имя нашего контакта
username = current_item.text()
# удаление контакта (отправляем запрос на сервер)
client.del_contact(username)
# удаляем контакт из QListWidget
current_item = window.listWidgetContacts.takeItem(window.listWidgetContacts.row(current_item))
del current_item
except Exception as e:
print(e)
def send_message():
"""Отправка сообщения"""
text = window.textEditMessage.toHtml()
if text:
# получаем выделенного пользователя
selected_index = window.listWidgetContacts.currentIndex()
# получаем имя пользователя
user_name = selected_index.data()
# отправляем сообщение
client.send_message(user_name, text)
# будем выводить то что мы отправили в общем чате
msg = 'You >>> {} : {}'.format(user_name, text)
window.textEditChat.insertHtml('{}<br>'.format(msg))
window.textEditHistory.insertHtml('{}<br>'.format(msg))
window.textEditMessage.clear()
# связываем кнопку send с функцией отправки
window.PushButtonSend.clicked.connect(send_message)
def clean_workspace():
"""Очистка окна текущего чата"""
# window.listWidgetMessages.clear()
window.textEditChat.clear()
#При нажатии на имя контакта в списке контактов окно текущего чата очищается
window.listWidgetContacts.itemClicked.connect(clean_workspace)
#
# Удаление контакта из списка вызывается через контекстное меню
# При нажатии правой кнопкой мыши на контакте появляется кнопка Remove
window.listWidgetContacts.setContextMenuPolicy(Qt.CustomContextMenu)
window.listWidgetContacts.setContextMenuPolicy(Qt.ActionsContextMenu)
removeAction = QtWidgets.QAction("Remove", None)
removeAction.triggered.connect(del_contact)
window.listWidgetContacts.addAction(removeAction)
def change_avatar():
"""Изменение аватара"""
fname = QFileDialog.getOpenFileName(window, 'Open file', '/home1')[0]
pixmap = QPixmap(fname)
window.labelAvatar.setPixmap(pixmap)
## Обновление аватара
window.labelAvatar.resize(80,80)
window.pushButtonChangeAvatar.clicked.connect(change_avatar)
def actionSmile():
url = '{}ab.gif'.format(current_path)
window.textEditMessage.insertHtml('<img src="%s" />' % url)
def actionMelancholy():
url = '{}ac.gif'.format(current_path)
window.textEditMessage.insertHtml('<img src="%s" />' % url)
def actionSurprise():
url = '{}ai.gif'.format(current_path)
window.textEditMessage.insertHtml('<img src="%s" />' % url)
# Связи кнопок смайлов с их использованием
window.pushButtonSmile.clicked.connect(actionSmile)
window.pushButtonMelancholy.clicked.connect(actionMelancholy)
window.pushButtonSurprise.clicked.connect(actionSurprise)
def actionFormat(tag):
text = window.textEditMessage.textCursor().selectedText()
window.textEditMessage.textCursor().insertHtml('<{0}>{1}</{0}>'.format(tag, text))
# Связи кнопок редактирования текста и их использованием
window.pushButtonBold.clicked.connect((lambda: actionFormat('b')))
window.pushButtonItalics.clicked.connect(lambda: actionFormat('i'))
window.pushButtonUnderline.clicked.connect(lambda: actionFormat('u'))
def chat_add_contact():
try:
"""Добавление контакта в чат"""
# получаем выбранный элемент в QListWidget
current_item = chat_dialog.listWidgetYourContacts.currentItem()
current_item = chat_dialog.listWidgetYourContacts.takeItem(chat_dialog.listWidgetYourContacts.row(current_item))
chat_dialog.listWidgetChatList.addItem(current_item)
except Exception as e:
print(e)
def chat_remove_contact():
try:
"""Удаление контакта из чата"""
current_item = chat_dialog.listWidgetChatList.currentItem()
current_item = chat_dialog.listWidgetChatList.takeItem(chat_dialog.listWidgetChatList.row(current_item))
chat_dialog.listWidgetYourContacts.addItem(current_item)
except Exception as e:
print(e)
def show_newchat_dialog():
# обнуляем списки диалога
chat_dialog.listWidgetYourContacts.clear()
chat_dialog.listWidgetChatList.clear()
# добавляем контакты
for contact in contact_list:
chat_dialog.listWidgetYourContacts.addItem(contact)
chat_dialog.exec_()
def make_chat():
try:
"""Создание чата, пока не реализованно (создается просто клиент)"""
chat_name = chat_dialog.textEditChatName.toPlainText()
if chat_name:
# добавляем контакт - шлем запрос на сервер ...
client.add_contact(chat_name)
# добавляем имя в QListWidget
window.listWidgetContacts.addItem(chat_name)
except Exception as e:
print(e)
# Связи кнопок создания чата со слотами
window.pushButtonGroupChat.clicked.connect(show_newchat_dialog)
chat_dialog.pushButtonAdd.clicked.connect(chat_add_contact)
chat_dialog.pushButtonRemove.clicked.connect(chat_remove_contact)
chat_dialog.buttonBox.clicked.connect(chat_remove_contact)
chat_dialog.buttonBox.accepted.connect(make_chat)
# рисуем окно
window.show()
# точка запуска приложения
sys.exit(app.exec_())
| 32.138996 | 121 | 0.70543 |
7edaf6ee1655b7eef789c124e17c2d6ca5c2b7bd | 2,200 | py | Python | config.py | Faisalsouz/PAN_OCR | 4dd6736c09015f211e7539135ef448d3919f6eac | [
"MIT"
] | 73 | 2019-07-17T08:27:27.000Z | 2022-03-12T09:50:35.000Z | config.py | Faisalsouz/PAN_OCR | 4dd6736c09015f211e7539135ef448d3919f6eac | [
"MIT"
] | 12 | 2019-08-13T20:32:31.000Z | 2022-01-10T17:05:35.000Z | config.py | Faisalsouz/PAN_OCR | 4dd6736c09015f211e7539135ef448d3919f6eac | [
"MIT"
] | 43 | 2019-05-16T10:02:27.000Z | 2022-03-18T03:06:52.000Z | import os
import argparse
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--darknet', dest='DARKNET', action='store_true', help="Specifies to use the Darknet classifier")
parser.add_argument('-t', '--tesseract', dest='TESSERACT', action='store_true', help="Use the local Tesseract OCR engine")
parser.add_argument('-l', '--dbl', dest="DARKNET_BINARY_LOCATION", default=None, help="Location of Darknet Binary")
parser.add_argument('--thresh', dest="DARKNET_THRESH", default=.25, type=float, help="Darknet threshold for successful classification (lower = more bounding boxes)")
parser.add_argument('--data', dest="DARKNET_DATA_FILE", default="data/obj.data", help="Darknet data file")
parser.add_argument('--cfg', dest="DARKNET_CFG_FILE", default="yolo-obj.cfg", help="Darknet configuration file")
parser.add_argument('--weights', dest="DARKNET_WEIGHTS", default="yolo-obj_8000.weights", help="Weights for Darknet")
args = parser.parse_args()
if args.DARKNET == False:
parser.error("Darknet must be set, add -d")
if args.TESSERACT == False:
parser.error("Tesseract must be set, add -t")
return args
## Change the following variable based on what algorithms you want to use ##
global DARKNET, TESSERACT, DARKNET_BINARY_LOCATION, DARKNET_THRESH, DARKNET_DATA_FILE, \
DARKNET_CFG_FILE, DARKNET_WEIGHTS
args = parse_args()
DARKNET = args.DARKNET
TESSERACT = args.TESSERACT
############################################################################
##### Darknet Information - Change if necessary to fit your needs #####
if DARKNET:
if args.DARKNET_BINARY_LOCATION == None:
if os.name == 'nt':
global popen_spawn
from pexpect import popen_spawn
DARKNET_BINARY_LOCATION = "darknet.exe"
else:
DARKNET_BINARY_LOCATION = "./darknet"
else:
DARKNET_BINARY_LOCATION = args.DARKNET_BINARY_LOCATION
#### Change the following attributes if you move the files/weights ####
DARKNET_THRESH = args.DARKNET_THRESH
DARKNET_DATA_FILE = args.DARKNET_DATA_FILE
DARKNET_CFG_FILE = args.DARKNET_CFG_FILE
DARKNET_WEIGHTS = args.DARKNET_WEIGHTS
#######################################################################
| 33.846154 | 166 | 0.694545 |
c777b89eeaf12ae4b55d9af117b48c5a7f196b8f | 54,679 | py | Python | pandas/io/formats/format.py | zhezherun/pandas | 36c1104b7ad9761e020f7e8198eb60da4045d169 | [
"BSD-3-Clause"
] | 1 | 2018-12-07T18:33:30.000Z | 2018-12-07T18:33:30.000Z | pandas/io/formats/format.py | dkenward/pandas | 1f02bf240c3d0d3da338af868d056bfc169b28c2 | [
"BSD-3-Clause"
] | null | null | null | pandas/io/formats/format.py | dkenward/pandas | 1f02bf240c3d0d3da338af868d056bfc169b28c2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Internal module for formatting output data in csv, html,
and latex files. This module also applies to display formatting.
"""
from __future__ import print_function
from functools import partial
import numpy as np
from pandas._libs import lib
from pandas._libs.tslib import format_array_from_datetime
from pandas._libs.tslibs import NaT, Timedelta, Timestamp, iNaT
from pandas.compat import StringIO, lzip, map, u, zip
from pandas.core.dtypes.common import (
is_categorical_dtype, is_datetime64_dtype, is_datetimetz, is_float,
is_float_dtype, is_integer, is_integer_dtype, is_interval_dtype,
is_list_like, is_numeric_dtype, is_period_arraylike, is_scalar,
is_timedelta64_dtype)
from pandas.core.dtypes.generic import ABCMultiIndex, ABCSparseArray
from pandas.core.dtypes.missing import isna, notna
from pandas import compat
from pandas.core.base import PandasObject
import pandas.core.common as com
from pandas.core.config import get_option, set_option
from pandas.core.index import Index, ensure_index
from pandas.core.indexes.datetimes import DatetimeIndex
from pandas.core.indexes.period import PeriodIndex
from pandas.io.common import _expand_user, _stringify_path
from pandas.io.formats.printing import adjoin, justify, pprint_thing
from pandas.io.formats.terminal import get_terminal_size
# pylint: disable=W0141
common_docstring = """
Parameters
----------
buf : StringIO-like, optional
Buffer to write to.
columns : sequence, optional, default None
The subset of columns to write. Writes all columns by default.
col_space : int, optional
The minimum width of each column.
header : bool, optional
%(header)s.
index : bool, optional, default True
Whether to print index (row) labels.
na_rep : str, optional, default 'NaN'
String representation of NAN to use.
formatters : list or dict of one-param. functions, optional
Formatter functions to apply to columns' elements by position or
name.
The result of each function must be a unicode string.
List must be of length equal to the number of columns.
float_format : one-parameter function, optional, default None
Formatter function to apply to columns' elements if they are
floats. The result of this function must be a unicode string.
sparsify : bool, optional, default True
Set to False for a DataFrame with a hierarchical index to print
every multiindex key at each row.
index_names : bool, optional, default True
Prints the names of the indexes.
justify : str, default None
How to justify the column labels. If None uses the option from
the print configuration (controlled by set_option), 'right' out
of the box. Valid values are
* left
* right
* center
* justify
* justify-all
* start
* end
* inherit
* match-parent
* initial
* unset.
max_rows : int, optional
Maximum number of rows to display in the console.
max_cols : int, optional
Maximum number of columns to display in the console.
show_dimensions : bool, default False
Display DataFrame dimensions (number of rows by number of columns).
decimal : str, default '.'
Character recognized as decimal separator, e.g. ',' in Europe.
.. versionadded:: 0.18.0
"""
_VALID_JUSTIFY_PARAMETERS = ("left", "right", "center", "justify",
"justify-all", "start", "end", "inherit",
"match-parent", "initial", "unset")
return_docstring = """
Returns
-------
str (or unicode, depending on data and options)
String representation of the dataframe.
"""
class CategoricalFormatter(object):
def __init__(self, categorical, buf=None, length=True, na_rep='NaN',
footer=True):
self.categorical = categorical
self.buf = buf if buf is not None else StringIO(u(""))
self.na_rep = na_rep
self.length = length
self.footer = footer
def _get_footer(self):
footer = ''
if self.length:
if footer:
footer += ', '
footer += "Length: {length}".format(length=len(self.categorical))
level_info = self.categorical._repr_categories_info()
# Levels are added in a newline
if footer:
footer += '\n'
footer += level_info
return compat.text_type(footer)
def _get_formatted_values(self):
return format_array(self.categorical.get_values(), None,
float_format=None, na_rep=self.na_rep)
def to_string(self):
categorical = self.categorical
if len(categorical) == 0:
if self.footer:
return self._get_footer()
else:
return u('')
fmt_values = self._get_formatted_values()
result = [u('{i}').format(i=i) for i in fmt_values]
result = [i.strip() for i in result]
result = u(', ').join(result)
result = [u('[') + result + u(']')]
if self.footer:
footer = self._get_footer()
if footer:
result.append(footer)
return compat.text_type(u('\n').join(result))
class SeriesFormatter(object):
def __init__(self, series, buf=None, length=True, header=True, index=True,
na_rep='NaN', name=False, float_format=None, dtype=True,
max_rows=None):
self.series = series
self.buf = buf if buf is not None else StringIO()
self.name = name
self.na_rep = na_rep
self.header = header
self.length = length
self.index = index
self.max_rows = max_rows
if float_format is None:
float_format = get_option("display.float_format")
self.float_format = float_format
self.dtype = dtype
self.adj = _get_adjustment()
self._chk_truncate()
def _chk_truncate(self):
from pandas.core.reshape.concat import concat
max_rows = self.max_rows
truncate_v = max_rows and (len(self.series) > max_rows)
series = self.series
if truncate_v:
if max_rows == 1:
row_num = max_rows
series = series.iloc[:max_rows]
else:
row_num = max_rows // 2
series = concat((series.iloc[:row_num],
series.iloc[-row_num:]))
self.tr_row_num = row_num
self.tr_series = series
self.truncate_v = truncate_v
def _get_footer(self):
name = self.series.name
footer = u('')
if getattr(self.series.index, 'freq', None) is not None:
footer += 'Freq: {freq}'.format(freq=self.series.index.freqstr)
if self.name is not False and name is not None:
if footer:
footer += ', '
series_name = pprint_thing(name,
escape_chars=('\t', '\r', '\n'))
footer += ((u"Name: {sname}".format(sname=series_name))
if name is not None else "")
if (self.length is True or
(self.length == 'truncate' and self.truncate_v)):
if footer:
footer += ', '
footer += 'Length: {length}'.format(length=len(self.series))
if self.dtype is not False and self.dtype is not None:
name = getattr(self.tr_series.dtype, 'name', None)
if name:
if footer:
footer += ', '
footer += u'dtype: {typ}'.format(typ=pprint_thing(name))
# level infos are added to the end and in a new line, like it is done
# for Categoricals
if is_categorical_dtype(self.tr_series.dtype):
level_info = self.tr_series._values._repr_categories_info()
if footer:
footer += "\n"
footer += level_info
return compat.text_type(footer)
def _get_formatted_index(self):
index = self.tr_series.index
is_multi = isinstance(index, ABCMultiIndex)
if is_multi:
have_header = any(name for name in index.names)
fmt_index = index.format(names=True)
else:
have_header = index.name is not None
fmt_index = index.format(name=True)
return fmt_index, have_header
def _get_formatted_values(self):
values_to_format = self.tr_series._formatting_values()
return format_array(values_to_format, None,
float_format=self.float_format, na_rep=self.na_rep)
def to_string(self):
series = self.tr_series
footer = self._get_footer()
if len(series) == 0:
return 'Series([], ' + footer + ')'
fmt_index, have_header = self._get_formatted_index()
fmt_values = self._get_formatted_values()
if self.truncate_v:
n_header_rows = 0
row_num = self.tr_row_num
width = self.adj.len(fmt_values[row_num - 1])
if width > 3:
dot_str = '...'
else:
dot_str = '..'
# Series uses mode=center because it has single value columns
# DataFrame uses mode=left
dot_str = self.adj.justify([dot_str], width, mode='center')[0]
fmt_values.insert(row_num + n_header_rows, dot_str)
fmt_index.insert(row_num + 1, '')
if self.index:
result = self.adj.adjoin(3, *[fmt_index[1:], fmt_values])
else:
result = self.adj.adjoin(3, fmt_values)
if self.header and have_header:
result = fmt_index[0] + '\n' + result
if footer:
result += '\n' + footer
return compat.text_type(u('').join(result))
class TextAdjustment(object):
def __init__(self):
self.encoding = get_option("display.encoding")
def len(self, text):
return compat.strlen(text, encoding=self.encoding)
def justify(self, texts, max_len, mode='right'):
return justify(texts, max_len, mode=mode)
def adjoin(self, space, *lists, **kwargs):
return adjoin(space, *lists, strlen=self.len,
justfunc=self.justify, **kwargs)
class EastAsianTextAdjustment(TextAdjustment):
def __init__(self):
super(EastAsianTextAdjustment, self).__init__()
if get_option("display.unicode.ambiguous_as_wide"):
self.ambiguous_width = 2
else:
self.ambiguous_width = 1
def len(self, text):
return compat.east_asian_len(text, encoding=self.encoding,
ambiguous_width=self.ambiguous_width)
def justify(self, texts, max_len, mode='right'):
# re-calculate padding space per str considering East Asian Width
def _get_pad(t):
return max_len - self.len(t) + len(t)
if mode == 'left':
return [x.ljust(_get_pad(x)) for x in texts]
elif mode == 'center':
return [x.center(_get_pad(x)) for x in texts]
else:
return [x.rjust(_get_pad(x)) for x in texts]
def _get_adjustment():
use_east_asian_width = get_option("display.unicode.east_asian_width")
if use_east_asian_width:
return EastAsianTextAdjustment()
else:
return TextAdjustment()
class TableFormatter(object):
is_truncated = False
show_dimensions = None
@property
def should_show_dimensions(self):
return (self.show_dimensions is True or
(self.show_dimensions == 'truncate' and self.is_truncated))
def _get_formatter(self, i):
if isinstance(self.formatters, (list, tuple)):
if is_integer(i):
return self.formatters[i]
else:
return None
else:
if is_integer(i) and i not in self.columns:
i = self.columns[i]
return self.formatters.get(i, None)
class DataFrameFormatter(TableFormatter):
"""
Render a DataFrame
self.to_string() : console-friendly tabular output
self.to_html() : html table
self.to_latex() : LaTeX tabular environment table
"""
__doc__ = __doc__ if __doc__ else ''
__doc__ += common_docstring + return_docstring
def __init__(self, frame, buf=None, columns=None, col_space=None,
header=True, index=True, na_rep='NaN', formatters=None,
justify=None, float_format=None, sparsify=None,
index_names=True, line_width=None, max_rows=None,
max_cols=None, show_dimensions=False, decimal='.',
table_id=None, **kwds):
self.frame = frame
if buf is not None:
self.buf = _expand_user(_stringify_path(buf))
else:
self.buf = StringIO()
self.show_index_names = index_names
if sparsify is None:
sparsify = get_option("display.multi_sparse")
self.sparsify = sparsify
self.float_format = float_format
self.formatters = formatters if formatters is not None else {}
self.na_rep = na_rep
self.decimal = decimal
self.col_space = col_space
self.header = header
self.index = index
self.line_width = line_width
self.max_rows = max_rows
self.max_cols = max_cols
self.max_rows_displayed = min(max_rows or len(self.frame),
len(self.frame))
self.show_dimensions = show_dimensions
self.table_id = table_id
if justify is None:
self.justify = get_option("display.colheader_justify")
else:
self.justify = justify
self.kwds = kwds
if columns is not None:
self.columns = ensure_index(columns)
self.frame = self.frame[self.columns]
else:
self.columns = frame.columns
self._chk_truncate()
self.adj = _get_adjustment()
def _chk_truncate(self):
"""
Checks whether the frame should be truncated. If so, slices
the frame up.
"""
from pandas.core.reshape.concat import concat
# Column of which first element is used to determine width of a dot col
self.tr_size_col = -1
# Cut the data to the information actually printed
max_cols = self.max_cols
max_rows = self.max_rows
if max_cols == 0 or max_rows == 0: # assume we are in the terminal
# (why else = 0)
(w, h) = get_terminal_size()
self.w = w
self.h = h
if self.max_rows == 0:
dot_row = 1
prompt_row = 1
if self.show_dimensions:
show_dimension_rows = 3
n_add_rows = (self.header + dot_row + show_dimension_rows +
prompt_row)
# rows available to fill with actual data
max_rows_adj = self.h - n_add_rows
self.max_rows_adj = max_rows_adj
# Format only rows and columns that could potentially fit the
# screen
if max_cols == 0 and len(self.frame.columns) > w:
max_cols = w
if max_rows == 0 and len(self.frame) > h:
max_rows = h
if not hasattr(self, 'max_rows_adj'):
self.max_rows_adj = max_rows
if not hasattr(self, 'max_cols_adj'):
self.max_cols_adj = max_cols
max_cols_adj = self.max_cols_adj
max_rows_adj = self.max_rows_adj
truncate_h = max_cols_adj and (len(self.columns) > max_cols_adj)
truncate_v = max_rows_adj and (len(self.frame) > max_rows_adj)
frame = self.frame
if truncate_h:
if max_cols_adj == 0:
col_num = len(frame.columns)
elif max_cols_adj == 1:
frame = frame.iloc[:, :max_cols]
col_num = max_cols
else:
col_num = (max_cols_adj // 2)
frame = concat((frame.iloc[:, :col_num],
frame.iloc[:, -col_num:]), axis=1)
self.tr_col_num = col_num
if truncate_v:
if max_rows_adj == 1:
row_num = max_rows
frame = frame.iloc[:max_rows, :]
else:
row_num = max_rows_adj // 2
frame = concat((frame.iloc[:row_num, :],
frame.iloc[-row_num:, :]))
self.tr_row_num = row_num
self.tr_frame = frame
self.truncate_h = truncate_h
self.truncate_v = truncate_v
self.is_truncated = self.truncate_h or self.truncate_v
def _to_str_columns(self):
"""
Render a DataFrame to a list of columns (as lists of strings).
"""
frame = self.tr_frame
# may include levels names also
str_index = self._get_formatted_index(frame)
if not is_list_like(self.header) and not self.header:
stringified = []
for i, c in enumerate(frame):
fmt_values = self._format_col(i)
fmt_values = _make_fixed_width(fmt_values, self.justify,
minimum=(self.col_space or 0),
adj=self.adj)
stringified.append(fmt_values)
else:
if is_list_like(self.header):
if len(self.header) != len(self.columns):
raise ValueError(('Writing {ncols} cols but got {nalias} '
'aliases'
.format(ncols=len(self.columns),
nalias=len(self.header))))
str_columns = [[label] for label in self.header]
else:
str_columns = self._get_formatted_column_labels(frame)
stringified = []
for i, c in enumerate(frame):
cheader = str_columns[i]
header_colwidth = max(self.col_space or 0,
*(self.adj.len(x) for x in cheader))
fmt_values = self._format_col(i)
fmt_values = _make_fixed_width(fmt_values, self.justify,
minimum=header_colwidth,
adj=self.adj)
max_len = max(max(self.adj.len(x) for x in fmt_values),
header_colwidth)
cheader = self.adj.justify(cheader, max_len, mode=self.justify)
stringified.append(cheader + fmt_values)
strcols = stringified
if self.index:
strcols.insert(0, str_index)
# Add ... to signal truncated
truncate_h = self.truncate_h
truncate_v = self.truncate_v
if truncate_h:
col_num = self.tr_col_num
# infer from column header
col_width = self.adj.len(strcols[self.tr_size_col][0])
strcols.insert(self.tr_col_num + 1, ['...'.center(col_width)] *
(len(str_index)))
if truncate_v:
n_header_rows = len(str_index) - len(frame)
row_num = self.tr_row_num
for ix, col in enumerate(strcols):
# infer from above row
cwidth = self.adj.len(strcols[ix][row_num])
is_dot_col = False
if truncate_h:
is_dot_col = ix == col_num + 1
if cwidth > 3 or is_dot_col:
my_str = '...'
else:
my_str = '..'
if ix == 0:
dot_mode = 'left'
elif is_dot_col:
cwidth = self.adj.len(strcols[self.tr_size_col][0])
dot_mode = 'center'
else:
dot_mode = 'right'
dot_str = self.adj.justify([my_str], cwidth, mode=dot_mode)[0]
strcols[ix].insert(row_num + n_header_rows, dot_str)
return strcols
def to_string(self):
"""
Render a DataFrame to a console-friendly tabular output.
"""
from pandas import Series
frame = self.frame
if len(frame.columns) == 0 or len(frame.index) == 0:
info_line = (u('Empty {name}\nColumns: {col}\nIndex: {idx}')
.format(name=type(self.frame).__name__,
col=pprint_thing(frame.columns),
idx=pprint_thing(frame.index)))
text = info_line
else:
strcols = self._to_str_columns()
if self.line_width is None: # no need to wrap around just print
# the whole frame
text = self.adj.adjoin(1, *strcols)
elif (not isinstance(self.max_cols, int) or
self.max_cols > 0): # need to wrap around
text = self._join_multiline(*strcols)
else: # max_cols == 0. Try to fit frame to terminal
text = self.adj.adjoin(1, *strcols).split('\n')
max_len = Series(text).str.len().max()
# plus truncate dot col
dif = max_len - self.w
# '+ 1' to avoid too wide repr (GH PR #17023)
adj_dif = dif + 1
col_lens = Series([Series(ele).apply(len).max()
for ele in strcols])
n_cols = len(col_lens)
counter = 0
while adj_dif > 0 and n_cols > 1:
counter += 1
mid = int(round(n_cols / 2.))
mid_ix = col_lens.index[mid]
col_len = col_lens[mid_ix]
# adjoin adds one
adj_dif -= (col_len + 1)
col_lens = col_lens.drop(mid_ix)
n_cols = len(col_lens)
# subtract index column
max_cols_adj = n_cols - self.index
# GH-21180. Ensure that we print at least two.
max_cols_adj = max(max_cols_adj, 2)
self.max_cols_adj = max_cols_adj
# Call again _chk_truncate to cut frame appropriately
# and then generate string representation
self._chk_truncate()
strcols = self._to_str_columns()
text = self.adj.adjoin(1, *strcols)
self.buf.writelines(text)
if self.should_show_dimensions:
self.buf.write("\n\n[{nrows} rows x {ncols} columns]"
.format(nrows=len(frame), ncols=len(frame.columns)))
def _join_multiline(self, *strcols):
lwidth = self.line_width
adjoin_width = 1
strcols = list(strcols)
if self.index:
idx = strcols.pop(0)
lwidth -= np.array([self.adj.len(x)
for x in idx]).max() + adjoin_width
col_widths = [np.array([self.adj.len(x) for x in col]).max() if
len(col) > 0 else 0 for col in strcols]
col_bins = _binify(col_widths, lwidth)
nbins = len(col_bins)
if self.truncate_v:
nrows = self.max_rows_adj + 1
else:
nrows = len(self.frame)
str_lst = []
st = 0
for i, ed in enumerate(col_bins):
row = strcols[st:ed]
if self.index:
row.insert(0, idx)
if nbins > 1:
if ed <= len(strcols) and i < nbins - 1:
row.append([' \\'] + [' '] * (nrows - 1))
else:
row.append([' '] * nrows)
str_lst.append(self.adj.adjoin(adjoin_width, *row))
st = ed
return '\n\n'.join(str_lst)
def to_latex(self, column_format=None, longtable=False, encoding=None,
multicolumn=False, multicolumn_format=None, multirow=False):
"""
Render a DataFrame to a LaTeX tabular/longtable environment output.
"""
from pandas.io.formats.latex import LatexFormatter
latex_renderer = LatexFormatter(self, column_format=column_format,
longtable=longtable,
multicolumn=multicolumn,
multicolumn_format=multicolumn_format,
multirow=multirow)
if encoding is None:
encoding = 'ascii' if compat.PY2 else 'utf-8'
if hasattr(self.buf, 'write'):
latex_renderer.write_result(self.buf)
elif isinstance(self.buf, compat.string_types):
import codecs
with codecs.open(self.buf, 'w', encoding=encoding) as f:
latex_renderer.write_result(f)
else:
raise TypeError('buf is not a file name and it has no write '
'method')
def _format_col(self, i):
frame = self.tr_frame
formatter = self._get_formatter(i)
values_to_format = frame.iloc[:, i]._formatting_values()
return format_array(values_to_format, formatter,
float_format=self.float_format, na_rep=self.na_rep,
space=self.col_space, decimal=self.decimal)
def to_html(self, classes=None, notebook=False, border=None):
"""
Render a DataFrame to a html table.
Parameters
----------
classes : str or list-like
classes to include in the `class` attribute of the opening
``<table>`` tag, in addition to the default "dataframe".
notebook : {True, False}, optional, default False
Whether the generated HTML is for IPython Notebook.
border : int
A ``border=border`` attribute is included in the opening
``<table>`` tag. Default ``pd.options.html.border``.
.. versionadded:: 0.19.0
"""
from pandas.io.formats.html import HTMLFormatter
html_renderer = HTMLFormatter(self, classes=classes,
max_rows=self.max_rows,
max_cols=self.max_cols,
notebook=notebook,
border=border,
table_id=self.table_id)
if hasattr(self.buf, 'write'):
html_renderer.write_result(self.buf)
elif isinstance(self.buf, compat.string_types):
with open(self.buf, 'w') as f:
html_renderer.write_result(f)
else:
raise TypeError('buf is not a file name and it has no write '
' method')
def _get_formatted_column_labels(self, frame):
from pandas.core.index import _sparsify
columns = frame.columns
if isinstance(columns, ABCMultiIndex):
fmt_columns = columns.format(sparsify=False, adjoin=False)
fmt_columns = lzip(*fmt_columns)
dtypes = self.frame.dtypes._values
# if we have a Float level, they don't use leading space at all
restrict_formatting = any(l.is_floating for l in columns.levels)
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
def space_format(x, y):
if (y not in self.formatters and
need_leadsp[x] and not restrict_formatting):
return ' ' + y
return y
str_columns = list(zip(*[[space_format(x, y) for y in x]
for x in fmt_columns]))
if self.sparsify and len(str_columns):
str_columns = _sparsify(str_columns)
str_columns = [list(x) for x in zip(*str_columns)]
else:
fmt_columns = columns.format()
dtypes = self.frame.dtypes
need_leadsp = dict(zip(fmt_columns, map(is_numeric_dtype, dtypes)))
str_columns = [[' ' + x if not self._get_formatter(i) and
need_leadsp[x] else x]
for i, (col, x) in enumerate(zip(columns,
fmt_columns))]
if self.show_index_names and self.has_index_names:
for x in str_columns:
x.append('')
# self.str_columns = str_columns
return str_columns
@property
def has_index_names(self):
return _has_names(self.frame.index)
@property
def has_column_names(self):
return _has_names(self.frame.columns)
def _get_formatted_index(self, frame):
# Note: this is only used by to_string() and to_latex(), not by
# to_html().
index = frame.index
columns = frame.columns
show_index_names = self.show_index_names and self.has_index_names
show_col_names = (self.show_index_names and self.has_column_names)
fmt = self._get_formatter('__index__')
if isinstance(index, ABCMultiIndex):
fmt_index = index.format(sparsify=self.sparsify, adjoin=False,
names=show_index_names, formatter=fmt)
else:
fmt_index = [index.format(name=show_index_names, formatter=fmt)]
fmt_index = [tuple(_make_fixed_width(list(x), justify='left',
minimum=(self.col_space or 0),
adj=self.adj)) for x in fmt_index]
adjoined = self.adj.adjoin(1, *fmt_index).split('\n')
# empty space for columns
if show_col_names:
col_header = ['{x}'.format(x=x)
for x in self._get_column_name_list()]
else:
col_header = [''] * columns.nlevels
if self.header:
return col_header + adjoined
else:
return adjoined
def _get_column_name_list(self):
names = []
columns = self.frame.columns
if isinstance(columns, ABCMultiIndex):
names.extend('' if name is None else name
for name in columns.names)
else:
names.append('' if columns.name is None else columns.name)
return names
# ----------------------------------------------------------------------
# Array formatters
def format_array(values, formatter, float_format=None, na_rep='NaN',
digits=None, space=None, justify='right', decimal='.'):
if is_categorical_dtype(values):
fmt_klass = CategoricalArrayFormatter
elif is_interval_dtype(values):
fmt_klass = IntervalArrayFormatter
elif is_float_dtype(values.dtype):
fmt_klass = FloatArrayFormatter
elif is_period_arraylike(values):
fmt_klass = PeriodArrayFormatter
elif is_integer_dtype(values.dtype):
fmt_klass = IntArrayFormatter
elif is_datetimetz(values):
fmt_klass = Datetime64TZFormatter
elif is_datetime64_dtype(values.dtype):
fmt_klass = Datetime64Formatter
elif is_timedelta64_dtype(values.dtype):
fmt_klass = Timedelta64Formatter
else:
fmt_klass = GenericArrayFormatter
if space is None:
space = get_option("display.column_space")
if float_format is None:
float_format = get_option("display.float_format")
if digits is None:
digits = get_option("display.precision")
fmt_obj = fmt_klass(values, digits=digits, na_rep=na_rep,
float_format=float_format, formatter=formatter,
space=space, justify=justify, decimal=decimal)
return fmt_obj.get_result()
class GenericArrayFormatter(object):
def __init__(self, values, digits=7, formatter=None, na_rep='NaN',
space=12, float_format=None, justify='right', decimal='.',
quoting=None, fixed_width=True):
self.values = values
self.digits = digits
self.na_rep = na_rep
self.space = space
self.formatter = formatter
self.float_format = float_format
self.justify = justify
self.decimal = decimal
self.quoting = quoting
self.fixed_width = fixed_width
def get_result(self):
fmt_values = self._format_strings()
return _make_fixed_width(fmt_values, self.justify)
def _format_strings(self):
if self.float_format is None:
float_format = get_option("display.float_format")
if float_format is None:
fmt_str = ('{{x: .{prec:d}g}}'
.format(prec=get_option("display.precision")))
float_format = lambda x: fmt_str.format(x=x)
else:
float_format = self.float_format
formatter = (
self.formatter if self.formatter is not None else
(lambda x: pprint_thing(x, escape_chars=('\t', '\r', '\n'))))
def _format(x):
if self.na_rep is not None and is_scalar(x) and isna(x):
if x is None:
return 'None'
elif x is NaT:
return 'NaT'
return self.na_rep
elif isinstance(x, PandasObject):
return u'{x}'.format(x=x)
else:
# object dtype
return u'{x}'.format(x=formatter(x))
vals = self.values
if isinstance(vals, Index):
vals = vals._values
elif isinstance(vals, ABCSparseArray):
vals = vals.values
is_float_type = lib.map_infer(vals, is_float) & notna(vals)
leading_space = is_float_type.any()
fmt_values = []
for i, v in enumerate(vals):
if not is_float_type[i] and leading_space:
fmt_values.append(u' {v}'.format(v=_format(v)))
elif is_float_type[i]:
fmt_values.append(float_format(v))
else:
fmt_values.append(u' {v}'.format(v=_format(v)))
return fmt_values
class FloatArrayFormatter(GenericArrayFormatter):
"""
"""
def __init__(self, *args, **kwargs):
GenericArrayFormatter.__init__(self, *args, **kwargs)
# float_format is expected to be a string
# formatter should be used to pass a function
if self.float_format is not None and self.formatter is None:
if callable(self.float_format):
self.formatter = self.float_format
self.float_format = None
def _value_formatter(self, float_format=None, threshold=None):
"""Returns a function to be applied on each value to format it
"""
# the float_format parameter supersedes self.float_format
if float_format is None:
float_format = self.float_format
# we are going to compose different functions, to first convert to
# a string, then replace the decimal symbol, and finally chop according
# to the threshold
# when there is no float_format, we use str instead of '%g'
# because str(0.0) = '0.0' while '%g' % 0.0 = '0'
if float_format:
def base_formatter(v):
return float_format(value=v) if notna(v) else self.na_rep
else:
def base_formatter(v):
return str(v) if notna(v) else self.na_rep
if self.decimal != '.':
def decimal_formatter(v):
return base_formatter(v).replace('.', self.decimal, 1)
else:
decimal_formatter = base_formatter
if threshold is None:
return decimal_formatter
def formatter(value):
if notna(value):
if abs(value) > threshold:
return decimal_formatter(value)
else:
return decimal_formatter(0.0)
else:
return self.na_rep
return formatter
def get_result_as_array(self):
"""
Returns the float values converted into strings using
the parameters given at initialisation, as a numpy array
"""
if self.formatter is not None:
return np.array([self.formatter(x) for x in self.values])
if self.fixed_width:
threshold = get_option("display.chop_threshold")
else:
threshold = None
# if we have a fixed_width, we'll need to try different float_format
def format_values_with(float_format):
formatter = self._value_formatter(float_format, threshold)
# separate the wheat from the chaff
values = self.values
mask = isna(values)
if hasattr(values, 'to_dense'): # sparse numpy ndarray
values = values.to_dense()
values = np.array(values, dtype='object')
values[mask] = self.na_rep
imask = (~mask).ravel()
values.flat[imask] = np.array([formatter(val)
for val in values.ravel()[imask]])
if self.fixed_width:
return _trim_zeros(values, self.na_rep)
return values
# There is a special default string when we are fixed-width
# The default is otherwise to use str instead of a formatting string
if self.float_format is None:
if self.fixed_width:
float_format = partial('{value: .{digits:d}f}'.format,
digits=self.digits)
else:
float_format = self.float_format
else:
float_format = lambda value: self.float_format % value
formatted_values = format_values_with(float_format)
if not self.fixed_width:
return formatted_values
# we need do convert to engineering format if some values are too small
# and would appear as 0, or if some values are too big and take too
# much space
if len(formatted_values) > 0:
maxlen = max(len(x) for x in formatted_values)
too_long = maxlen > self.digits + 6
else:
too_long = False
with np.errstate(invalid='ignore'):
abs_vals = np.abs(self.values)
# this is pretty arbitrary for now
# large values: more that 8 characters including decimal symbol
# and first digit, hence > 1e6
has_large_values = (abs_vals > 1e6).any()
has_small_values = ((abs_vals < 10**(-self.digits)) &
(abs_vals > 0)).any()
if has_small_values or (too_long and has_large_values):
float_format = partial('{value: .{digits:d}e}'.format,
digits=self.digits)
formatted_values = format_values_with(float_format)
return formatted_values
def _format_strings(self):
# shortcut
if self.formatter is not None:
return [self.formatter(x) for x in self.values]
return list(self.get_result_as_array())
class IntArrayFormatter(GenericArrayFormatter):
def _format_strings(self):
formatter = self.formatter or (lambda x: '{x: d}'.format(x=x))
fmt_values = [formatter(x) for x in self.values]
return fmt_values
class Datetime64Formatter(GenericArrayFormatter):
def __init__(self, values, nat_rep='NaT', date_format=None, **kwargs):
super(Datetime64Formatter, self).__init__(values, **kwargs)
self.nat_rep = nat_rep
self.date_format = date_format
def _format_strings(self):
""" we by definition have DO NOT have a TZ """
values = self.values
if not isinstance(values, DatetimeIndex):
values = DatetimeIndex(values)
if self.formatter is not None and callable(self.formatter):
return [self.formatter(x) for x in values]
fmt_values = format_array_from_datetime(
values.asi8.ravel(),
format=_get_format_datetime64_from_values(values,
self.date_format),
na_rep=self.nat_rep).reshape(values.shape)
return fmt_values.tolist()
class IntervalArrayFormatter(GenericArrayFormatter):
def __init__(self, values, *args, **kwargs):
GenericArrayFormatter.__init__(self, values, *args, **kwargs)
def _format_strings(self):
formatter = self.formatter or str
fmt_values = np.array([formatter(x) for x in self.values])
return fmt_values
class PeriodArrayFormatter(IntArrayFormatter):
def _format_strings(self):
from pandas.core.indexes.period import IncompatibleFrequency
try:
values = PeriodIndex(self.values).to_native_types()
except IncompatibleFrequency:
# periods may contains different freq
values = Index(self.values, dtype='object').to_native_types()
formatter = self.formatter or (lambda x: '{x}'.format(x=x))
fmt_values = [formatter(x) for x in values]
return fmt_values
class CategoricalArrayFormatter(GenericArrayFormatter):
def __init__(self, values, *args, **kwargs):
GenericArrayFormatter.__init__(self, values, *args, **kwargs)
def _format_strings(self):
fmt_values = format_array(self.values.get_values(), self.formatter,
float_format=self.float_format,
na_rep=self.na_rep, digits=self.digits,
space=self.space, justify=self.justify)
return fmt_values
def format_percentiles(percentiles):
"""
Outputs rounded and formatted percentiles.
Parameters
----------
percentiles : list-like, containing floats from interval [0,1]
Returns
-------
formatted : list of strings
Notes
-----
Rounding precision is chosen so that: (1) if any two elements of
``percentiles`` differ, they remain different after rounding
(2) no entry is *rounded* to 0% or 100%.
Any non-integer is always rounded to at least 1 decimal place.
Examples
--------
Keeps all entries different after rounding:
>>> format_percentiles([0.01999, 0.02001, 0.5, 0.666666, 0.9999])
['1.999%', '2.001%', '50%', '66.667%', '99.99%']
No element is rounded to 0% or 100% (unless already equal to it).
Duplicates are allowed:
>>> format_percentiles([0, 0.5, 0.02001, 0.5, 0.666666, 0.9999])
['0%', '50%', '2.0%', '50%', '66.67%', '99.99%']
"""
percentiles = np.asarray(percentiles)
# It checks for np.NaN as well
with np.errstate(invalid='ignore'):
if not is_numeric_dtype(percentiles) or not np.all(percentiles >= 0) \
or not np.all(percentiles <= 1):
raise ValueError("percentiles should all be in the interval [0,1]")
percentiles = 100 * percentiles
int_idx = (percentiles.astype(int) == percentiles)
if np.all(int_idx):
out = percentiles.astype(int).astype(str)
return [i + '%' for i in out]
unique_pcts = np.unique(percentiles)
to_begin = unique_pcts[0] if unique_pcts[0] > 0 else None
to_end = 100 - unique_pcts[-1] if unique_pcts[-1] < 100 else None
# Least precision that keeps percentiles unique after rounding
prec = -np.floor(np.log10(np.min(
np.ediff1d(unique_pcts, to_begin=to_begin, to_end=to_end)
))).astype(int)
prec = max(1, prec)
out = np.empty_like(percentiles, dtype=object)
out[int_idx] = percentiles[int_idx].astype(int).astype(str)
out[~int_idx] = percentiles[~int_idx].round(prec).astype(str)
return [i + '%' for i in out]
def _is_dates_only(values):
# return a boolean if we are only dates (and don't have a timezone)
values = DatetimeIndex(values)
if values.tz is not None:
return False
values_int = values.asi8
consider_values = values_int != iNaT
one_day_nanos = (86400 * 1e9)
even_days = np.logical_and(consider_values,
values_int % int(one_day_nanos) != 0).sum() == 0
if even_days:
return True
return False
def _format_datetime64(x, tz=None, nat_rep='NaT'):
if x is None or (is_scalar(x) and isna(x)):
return nat_rep
if tz is not None or not isinstance(x, Timestamp):
if getattr(x, 'tzinfo', None) is not None:
x = Timestamp(x).tz_convert(tz)
else:
x = Timestamp(x).tz_localize(tz)
return str(x)
def _format_datetime64_dateonly(x, nat_rep='NaT', date_format=None):
if x is None or (is_scalar(x) and isna(x)):
return nat_rep
if not isinstance(x, Timestamp):
x = Timestamp(x)
if date_format:
return x.strftime(date_format)
else:
return x._date_repr
def _get_format_datetime64(is_dates_only, nat_rep='NaT', date_format=None):
if is_dates_only:
return lambda x, tz=None: _format_datetime64_dateonly(
x, nat_rep=nat_rep, date_format=date_format)
else:
return lambda x, tz=None: _format_datetime64(x, tz=tz, nat_rep=nat_rep)
def _get_format_datetime64_from_values(values, date_format):
""" given values and a date_format, return a string format """
is_dates_only = _is_dates_only(values)
if is_dates_only:
return date_format or "%Y-%m-%d"
return date_format
class Datetime64TZFormatter(Datetime64Formatter):
def _format_strings(self):
""" we by definition have a TZ """
values = self.values.astype(object)
is_dates_only = _is_dates_only(values)
formatter = (self.formatter or
_get_format_datetime64(is_dates_only,
date_format=self.date_format))
fmt_values = [formatter(x) for x in values]
return fmt_values
class Timedelta64Formatter(GenericArrayFormatter):
def __init__(self, values, nat_rep='NaT', box=False, **kwargs):
super(Timedelta64Formatter, self).__init__(values, **kwargs)
self.nat_rep = nat_rep
self.box = box
def _format_strings(self):
formatter = (self.formatter or
_get_format_timedelta64(self.values, nat_rep=self.nat_rep,
box=self.box))
fmt_values = np.array([formatter(x) for x in self.values])
return fmt_values
def _get_format_timedelta64(values, nat_rep='NaT', box=False):
"""
Return a formatter function for a range of timedeltas.
These will all have the same format argument
If box, then show the return in quotes
"""
values_int = values.astype(np.int64)
consider_values = values_int != iNaT
one_day_nanos = (86400 * 1e9)
even_days = np.logical_and(consider_values,
values_int % one_day_nanos != 0).sum() == 0
all_sub_day = np.logical_and(
consider_values, np.abs(values_int) >= one_day_nanos).sum() == 0
if even_days:
format = None
elif all_sub_day:
format = 'sub_day'
else:
format = 'long'
def _formatter(x):
if x is None or (is_scalar(x) and isna(x)):
return nat_rep
if not isinstance(x, Timedelta):
x = Timedelta(x)
result = x._repr_base(format=format)
if box:
result = "'{res}'".format(res=result)
return result
return _formatter
def _make_fixed_width(strings, justify='right', minimum=None, adj=None):
if len(strings) == 0 or justify == 'all':
return strings
if adj is None:
adj = _get_adjustment()
max_len = max(adj.len(x) for x in strings)
if minimum is not None:
max_len = max(minimum, max_len)
conf_max = get_option("display.max_colwidth")
if conf_max is not None and max_len > conf_max:
max_len = conf_max
def just(x):
if conf_max is not None:
if (conf_max > 3) & (adj.len(x) > max_len):
x = x[:max_len - 3] + '...'
return x
strings = [just(x) for x in strings]
result = adj.justify(strings, max_len, mode=justify)
return result
def _trim_zeros(str_floats, na_rep='NaN'):
"""
Trims zeros, leaving just one before the decimal points if need be.
"""
trimmed = str_floats
def _cond(values):
non_na = [x for x in values if x != na_rep]
return (len(non_na) > 0 and all(x.endswith('0') for x in non_na) and
not (any(('e' in x) or ('E' in x) for x in non_na)))
while _cond(trimmed):
trimmed = [x[:-1] if x != na_rep else x for x in trimmed]
# leave one 0 after the decimal points if need be.
return [x + "0" if x.endswith('.') and x != na_rep else x for x in trimmed]
def _has_names(index):
if isinstance(index, ABCMultiIndex):
return com._any_not_none(*index.names)
else:
return index.name is not None
class EngFormatter(object):
"""
Formats float values according to engineering format.
Based on matplotlib.ticker.EngFormatter
"""
# The SI engineering prefixes
ENG_PREFIXES = {
-24: "y",
-21: "z",
-18: "a",
-15: "f",
-12: "p",
-9: "n",
-6: "u",
-3: "m",
0: "",
3: "k",
6: "M",
9: "G",
12: "T",
15: "P",
18: "E",
21: "Z",
24: "Y"
}
def __init__(self, accuracy=None, use_eng_prefix=False):
self.accuracy = accuracy
self.use_eng_prefix = use_eng_prefix
def __call__(self, num):
""" Formats a number in engineering notation, appending a letter
representing the power of 1000 of the original number. Some examples:
>>> format_eng(0) # for self.accuracy = 0
' 0'
>>> format_eng(1000000) # for self.accuracy = 1,
# self.use_eng_prefix = True
' 1.0M'
>>> format_eng("-1e-6") # for self.accuracy = 2
# self.use_eng_prefix = False
'-1.00E-06'
@param num: the value to represent
@type num: either a numeric value or a string that can be converted to
a numeric value (as per decimal.Decimal constructor)
@return: engineering formatted string
"""
import decimal
import math
dnum = decimal.Decimal(str(num))
if decimal.Decimal.is_nan(dnum):
return 'NaN'
if decimal.Decimal.is_infinite(dnum):
return 'inf'
sign = 1
if dnum < 0: # pragma: no cover
sign = -1
dnum = -dnum
if dnum != 0:
pow10 = decimal.Decimal(int(math.floor(dnum.log10() / 3) * 3))
else:
pow10 = decimal.Decimal(0)
pow10 = pow10.min(max(self.ENG_PREFIXES.keys()))
pow10 = pow10.max(min(self.ENG_PREFIXES.keys()))
int_pow10 = int(pow10)
if self.use_eng_prefix:
prefix = self.ENG_PREFIXES[int_pow10]
else:
if int_pow10 < 0:
prefix = 'E-{pow10:02d}'.format(pow10=-int_pow10)
else:
prefix = 'E+{pow10:02d}'.format(pow10=int_pow10)
mant = sign * dnum / (10**pow10)
if self.accuracy is None: # pragma: no cover
format_str = u("{mant: g}{prefix}")
else:
format_str = (u("{{mant: .{acc:d}f}}{{prefix}}")
.format(acc=self.accuracy))
formatted = format_str.format(mant=mant, prefix=prefix)
return formatted # .strip()
def set_eng_float_format(accuracy=3, use_eng_prefix=False):
"""
Alter default behavior on how float is formatted in DataFrame.
Format float in engineering format. By accuracy, we mean the number of
decimal digits after the floating point.
See also EngFormatter.
"""
set_option("display.float_format", EngFormatter(accuracy, use_eng_prefix))
set_option("display.column_space", max(12, accuracy + 9))
def _binify(cols, line_width):
adjoin_width = 1
bins = []
curr_width = 0
i_last_column = len(cols) - 1
for i, w in enumerate(cols):
w_adjoined = w + adjoin_width
curr_width += w_adjoined
if i_last_column == i:
wrap = curr_width + 1 > line_width and i > 0
else:
wrap = curr_width + 2 > line_width and i > 0
if wrap:
bins.append(i)
curr_width = w_adjoined
bins.append(len(cols))
return bins
def get_level_lengths(levels, sentinel=''):
"""For each index in each level the function returns lengths of indexes.
Parameters
----------
levels : list of lists
List of values on for level.
sentinel : string, optional
Value which states that no new index starts on there.
Returns
----------
Returns list of maps. For each level returns map of indexes (key is index
in row and value is length of index).
"""
if len(levels) == 0:
return []
control = [True] * len(levels[0])
result = []
for level in levels:
last_index = 0
lengths = {}
for i, key in enumerate(level):
if control[i] and key == sentinel:
pass
else:
control[i] = False
lengths[last_index] = i - last_index
last_index = i
lengths[last_index] = len(level) - last_index
result.append(lengths)
return result
def buffer_put_lines(buf, lines):
"""
Appends lines to a buffer.
Parameters
----------
buf
The buffer to write to
lines
The lines to append.
"""
if any(isinstance(x, compat.text_type) for x in lines):
lines = [compat.text_type(x) for x in lines]
buf.write('\n'.join(lines))
| 34.281505 | 79 | 0.569433 |
9fac54448d0df771ce8ed78f7dd7fe2b68479f0a | 1,273 | py | Python | tdapi_test.py | KloudTrader/tdameritrade | 54097b616a496da0692c12bb9858f62163ee7909 | [
"MIT"
] | 31 | 2017-07-08T20:13:19.000Z | 2021-06-17T14:29:26.000Z | tdapi_test.py | KloudTrader/tdameritrade | 54097b616a496da0692c12bb9858f62163ee7909 | [
"MIT"
] | 5 | 2017-11-16T20:56:15.000Z | 2019-11-23T18:49:06.000Z | tdapi_test.py | dharmez/td-ameritrade | 9a2f59bb8bfb3c94c4184c862bbc8964f1e67fdf | [
"MIT"
] | 22 | 2017-02-22T00:31:13.000Z | 2021-09-21T07:57:53.000Z | from tdapi import TDAmeritradeAPI
import getpass
import argparse
import pandas as pd
import datetime
def main():
parser = argparse.ArgumentParser()
parser.add_argument('sourceid', help="API key provided by TD Ameritrade")
parser.add_argument('userid')
parser.add_argument('ticker', default='AMZN')
args = parser.parse_args()
#print args.sourceid
#print args.userid
if not (args.sourceid and args.userid):
parser.print_help()
pwd = getpass.getpass()
td = TDAmeritradeAPI(args.sourceid)
td.login(args.userid, pwd)
print('Getting snapshot quote for %s' % args.ticker)
quoteList = td.getSnapshotQuote([args.ticker],'stock',True)
print(quoteList[args.ticker])
print('Getting price history')
dt = datetime.datetime.now()
df = td.getPriceHistory(args.ticker, intervalType='DAILY', intervalDuration='1', periodType='MONTH',
period='6', startdate=None, enddate=dt.strftime('%Y%m%d'), extended=None)
print(df)
print('Getting binary option chain for %s' % args.ticker)
chain = td.getBinaryOptionChain(args.ticker)
print('Returned %d contracts. First 10:' % len(chain))
for option in chain[:10]:
print(option)
td.logout()
if __name__ == '__main__':
main()
| 28.931818 | 104 | 0.684211 |
3185cd55bc768e5546f1aceb5ef627632892ce2a | 24,741 | py | Python | src/ralph/back_office/models.py | Russell-IO/ralph | 7c1f2369b39c894dce9cf511051f5593db452dc6 | [
"Apache-2.0"
] | 1 | 2019-04-15T04:10:21.000Z | 2019-04-15T04:10:21.000Z | src/ralph/back_office/models.py | hq-git/ralph | e2448caf02d6e5abfd81da2cff92aefe0a534883 | [
"Apache-2.0"
] | null | null | null | src/ralph/back_office/models.py | hq-git/ralph | e2448caf02d6e5abfd81da2cff92aefe0a534883 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
import logging
import os
import re
import tempfile
from functools import partial
from dj.choices import Choices, Country
from django import forms
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.exceptions import ImproperlyConfigured
from django.core.mail import EmailMessage
from django.db import models, transaction
from django.forms import ValidationError
from django.template import Context, Template
from django.utils import timezone
from django.utils.translation import ugettext_lazy as _
from ralph.accounts.models import Regionalizable
from ralph.assets.country_utils import iso2_to_iso3
from ralph.assets.models.assets import (
Asset,
AssetLastHostname,
AssetModel,
ServiceEnvironment
)
from ralph.assets.utils import move_parents_models
from ralph.attachments.helpers import add_attachment_from_disk
from ralph.lib.external_services import ExternalService, obj_to_dict
from ralph.lib.hooks import get_hook
from ralph.lib.mixins.fields import NullableCharField
from ralph.lib.mixins.models import (
AdminAbsoluteUrlMixin,
NamedMixin,
TimeStampMixin
)
from ralph.lib.transitions.conf import get_report_name_for_transition_id
from ralph.lib.transitions.decorators import transition_action
from ralph.lib.transitions.fields import TransitionField
from ralph.lib.transitions.models import Transition
from ralph.licences.models import BaseObjectLicence, Licence
from ralph.reports.models import Report, ReportLanguage
IMEI_UNTIL_2003 = re.compile(r'^\d{6} *\d{2} *\d{6} *\d$')
IMEI_SINCE_2003 = re.compile(r'^\d{8} *\d{6} *\d$')
ASSET_HOSTNAME_TEMPLATE = getattr(settings, 'ASSET_HOSTNAME_TEMPLATE', None)
if not ASSET_HOSTNAME_TEMPLATE:
raise ImproperlyConfigured('"ASSET_HOSTNAME_TEMPLATE" must be specified.')
logger = logging.getLogger(__name__)
class Warehouse(
AdminAbsoluteUrlMixin,
NamedMixin,
TimeStampMixin,
models.Model
):
_allow_in_dashboard = True
stocktaking_enabled = models.BooleanField(default=False)
stocktaking_tag_suffix = models.CharField(
max_length=8,
default='',
blank=True
)
class BackOfficeAssetStatus(Choices):
_ = Choices.Choice
new = _("new")
in_progress = _("in progress")
waiting_for_release = _("waiting for release")
used = _("in use")
loan = _("loan")
damaged = _("damaged")
liquidated = _("liquidated")
in_service = _("in service")
installed = _("installed")
free = _("free")
reserved = _("reserved")
sale = _("sale")
loan_in_progress = _("loan in progress")
return_in_progress = _("return in progress")
class OfficeInfrastructure(
AdminAbsoluteUrlMixin,
NamedMixin,
TimeStampMixin,
models.Model
):
class Meta:
verbose_name = _('Office Infrastructure')
verbose_name_plural = _('Office Infrastructures')
def _is_field_in_transition_actions(actions, field_name):
"""
Returns True if there is field with given name in one of actions.
"""
for action in actions:
if field_name in getattr(action, 'form_fields', {}):
return True
return False
def get_user_iso3_country_name(user):
"""
:param user: instance of django.contrib.auth.models.User which has profile
with country attribute
"""
country_name = Country.name_from_id(int(user.country))
iso3_country_name = iso2_to_iso3(country_name)
return iso3_country_name
def _check_assets_owner(instances, **kwargs):
errors = {}
requester = kwargs.get('requester', None)
if not requester:
return {'__all__': _('requester must be specified')}
for instance in instances:
if requester and instance.owner != requester:
errors[instance] = _('requester is not an owner of the asset')
return errors
def _check_assets_user(instances, **kwargs):
errors = {}
requester = kwargs.get('requester', None)
if not requester:
return {'__all__': _('requester must be specified')}
for instance in instances:
if requester and instance.user != requester:
errors[instance] = _('requester is not an user of the asset')
return errors
def _check_user_assigned(instances, **kwargs):
errors = {}
for instance in instances:
if not instance.user:
errors[instance] = _('user not assigned')
return errors
def autocomplete_user(actions, objects, field_name='user'):
""" Returns default value for user transition field.
When multiple assets are selected, default user/owner is returned only if
all assets have the same user assigned. Otherwise None will be returned.
Args:
actions: Transition action list
objects: Django models objects
field_name: String of name for user field
Returns:
String value of user pk
"""
users = [getattr(obj, field_name, None) for obj in objects]
if len(set(users)) == 1 and users[0]:
return str(users[0].pk)
else:
return None
class BackOfficeAsset(Regionalizable, Asset):
_allow_in_dashboard = True
warehouse = models.ForeignKey(Warehouse, on_delete=models.PROTECT)
owner = models.ForeignKey(
settings.AUTH_USER_MODEL, null=True, blank=True,
related_name='assets_as_owner',
)
user = models.ForeignKey(
settings.AUTH_USER_MODEL, null=True, blank=True,
related_name='assets_as_user',
)
location = models.CharField(max_length=128, null=True, blank=True)
purchase_order = models.CharField(max_length=50, null=True, blank=True)
loan_end_date = models.DateField(
null=True, blank=True, default=None, verbose_name=_('Loan end date'),
)
status = TransitionField(
default=BackOfficeAssetStatus.new.id,
choices=BackOfficeAssetStatus(),
)
imei = NullableCharField(
max_length=18, null=True, blank=True, unique=True
)
office_infrastructure = models.ForeignKey(
OfficeInfrastructure, null=True, blank=True
)
class Meta:
verbose_name = _('Back Office Asset')
verbose_name_plural = _('Back Office Assets')
@property
def country_code(self):
iso2 = Country.name_from_id(int(self.region.country)).upper()
return iso2_to_iso3(iso2)
def __str__(self):
return '{} (BC: {} / SN: {})'.format(
self.hostname or '-', self.barcode or '-', self.sn or '-'
)
def __repr__(self):
return '<BackOfficeAsset: {}>'.format(self.id)
def validate_imei(self):
return IMEI_SINCE_2003.match(self.imei) or \
IMEI_UNTIL_2003.match(self.imei)
def clean(self):
super().clean()
if self.imei and not self.validate_imei():
raise ValidationError({
'imei': _('%(imei)s is not IMEI format') % {'imei': self.imei}
})
def is_liquidated(self, date=None):
date = date or datetime.date.today()
# check if asset has status 'liquidated' and if yes, check if it has
# this status on given date
if (
self.status == BackOfficeAssetStatus.liquidated and
self._liquidated_at(date)
):
return True
return False
def generate_hostname(self, commit=True, template_vars=None):
def render_template(template):
template = Template(template)
context = Context(template_vars or {})
return template.render(context)
logger.warning(
'Generating new hostname for {} using {} old hostname {}'.format(
self, template_vars, self.hostname
)
)
prefix = render_template(
ASSET_HOSTNAME_TEMPLATE.get('prefix', ''),
)
postfix = render_template(
ASSET_HOSTNAME_TEMPLATE.get('postfix', ''),
)
counter_length = ASSET_HOSTNAME_TEMPLATE.get('counter_length', 5)
last_hostname = AssetLastHostname.increment_hostname(prefix, postfix)
self.hostname = last_hostname.formatted_hostname(fill=counter_length)
if commit:
self.save()
# TODO: add message when hostname was changed
def _try_assign_hostname(self, commit=False, country=None, force=False):
if self.model.category and self.model.category.code:
template_vars = {
'code': self.model.category.code,
'country_code': country or self.country_code,
}
if (
force or
not self.hostname or
self.country_code not in self.hostname
):
self.generate_hostname(commit, template_vars)
@classmethod
def get_autocomplete_queryset(cls):
return cls._default_manager.exclude(
status=BackOfficeAssetStatus.liquidated.id
)
@classmethod
@transition_action(
form_fields={
'user': {
'field': forms.CharField(label=_('User')),
'autocomplete_field': 'user',
'default_value': partial(autocomplete_user, field_name='user')
}
},
run_after=['unassign_user']
)
def assign_user(cls, instances, **kwargs):
user = get_user_model().objects.get(pk=int(kwargs['user']))
for instance in instances:
instance.user = user
@classmethod
@transition_action(
form_fields={
'owner': {
'field': forms.CharField(label=_('Owner')),
'autocomplete_field': 'owner',
'default_value': partial(autocomplete_user, field_name='owner')
}
},
help_text=_(
'During this transition owner will be assigned as well as new '
'hostname might be generated for asset (only for particular model '
'categories and only if owner\'s country has changed)'
),
run_after=['unassign_owner']
)
def assign_owner(cls, instances, **kwargs):
owner = get_user_model().objects.get(pk=int(kwargs['owner']))
for instance in instances:
instance.owner = owner
@classmethod
@transition_action(
form_fields={
'licences': {
'field': forms.ModelMultipleChoiceField(
queryset=Licence.objects.all(), label=_('Licence'),
required=False,
),
'autocomplete_field': 'licence',
'autocomplete_model': 'licences.BaseObjectLicence',
'widget_options': {'multi': True},
}
},
run_after=['unassign_licences']
)
def assign_licence(cls, instances, **kwargs):
for instance in instances:
for obj in kwargs['licences']:
BaseObjectLicence.objects.get_or_create(
base_object=instance, licence_id=obj.id,
)
@classmethod
@transition_action(
run_after=['loan_report', 'return_report']
)
def unassign_owner(cls, instances, **kwargs):
for instance in instances:
kwargs['history_kwargs'][instance.pk][
'affected_owner'
] = str(instance.owner)
instance.owner = None
@classmethod
@transition_action(
run_after=['loan_report', 'return_report']
)
def unassign_user(cls, instances, **kwargs):
for instance in instances:
kwargs['history_kwargs'][instance.pk][
'affected_user'
] = str(instance.user)
instance.user = None
@classmethod
@transition_action(
form_fields={
'loan_end_date': {
'field': forms.DateField(
label=_('Loan end date'),
widget=forms.TextInput(attrs={'class': 'datepicker'})
)
}
},
)
def assign_loan_end_date(cls, instances, **kwargs):
for instance in instances:
instance.loan_end_date = kwargs['loan_end_date']
@classmethod
@transition_action()
def unassign_loan_end_date(cls, instances, **kwargs):
for instance in instances:
instance.loan_end_date = None
@classmethod
@transition_action(
form_fields={
'warehouse': {
'field': forms.CharField(label=_('Warehouse')),
'autocomplete_field': 'warehouse'
}
}
)
def assign_warehouse(cls, instances, **kwargs):
warehouse = Warehouse.objects.get(pk=int(kwargs['warehouse']))
for instance in instances:
instance.warehouse = warehouse
@classmethod
@transition_action(
form_fields={
'office_infrastructure': {
'field': forms.CharField(label=_('Office infrastructure')),
'autocomplete_field': 'office_infrastructure'
}
},
)
def assign_office_infrastructure(cls, instances, **kwargs):
office_inf = OfficeInfrastructure.objects.get(
pk=int(kwargs['office_infrastructure'])
)
for instance in instances:
instance.office_infrastructure = office_inf
@classmethod
@transition_action(
form_fields={
'remarks': {
'field': forms.CharField(label=_('Remarks')),
}
}
)
def add_remarks(cls, instances, **kwargs):
for instance in instances:
instance.remarks = '{}\n{}'.format(
instance.remarks, kwargs['remarks']
)
@classmethod
@transition_action(
form_fields={
'task_url': {
'field': forms.URLField(label=_('task URL')),
}
}
)
def assign_task_url(cls, instances, **kwargs):
for instance in instances:
instance.task_url = kwargs['task_url']
@classmethod
@transition_action()
def unassign_licences(cls, instances, **kwargs):
BaseObjectLicence.objects.filter(base_object__in=instances).delete()
@classmethod
@transition_action(
form_fields={
'country': {
'field': forms.ChoiceField(
label=_('Country'),
choices=Country(),
**{
'initial': Country.from_name(
settings.CHANGE_HOSTNAME_ACTION_DEFAULT_COUNTRY.lower() # noqa: E501
).id
}
if settings.CHANGE_HOSTNAME_ACTION_DEFAULT_COUNTRY else {}
),
}
},
)
def change_hostname(cls, instances, **kwargs):
country_id = kwargs['country']
country_name = Country.name_from_id(int(country_id)).upper()
iso3_country_name = iso2_to_iso3(country_name)
for instance in instances:
instance._try_assign_hostname(
country=iso3_country_name, force=True
)
@classmethod
@transition_action(
form_fields={
'user': {
'field': forms.CharField(label=_('User')),
'autocomplete_field': 'user',
},
'owner': {
'field': forms.CharField(label=_('Owner')),
'autocomplete_field': 'owner',
'condition': lambda obj, actions: bool(obj.owner),
}
}
)
def change_user_and_owner(cls, instances, **kwargs):
UserModel = get_user_model() # noqa
user_id = kwargs.get('user', None)
user = UserModel.objects.get(id=user_id)
owner_id = kwargs.get('owner', None)
for instance in instances:
instance.user = user
if not owner_id:
instance.owner = user
else:
instance.owner = UserModel.objects.get(id=owner_id)
instance.location = user.location
@classmethod
def _generate_report(cls, name, requester, instances, language):
report = Report.objects.get(name=name)
template = report.templates.filter(language=language).first()
if not template:
template = report.templates.filter(default=True).first()
template_content = ''
with open(template.template.path, 'rb') as f:
template_content = f.read()
data_instances = [
{
'sn': obj.sn,
'model': str(obj.model),
'imei': obj.imei,
'barcode': obj.barcode,
}
for obj in instances
]
service_pdf = ExternalService('PDF')
result = service_pdf.run(
template=template_content,
data={
'id': ', '.join([str(obj.id) for obj in instances]),
'now': datetime.datetime.now(),
'logged_user': obj_to_dict(requester),
'affected_user': obj_to_dict(instances[0].user),
'owner': obj_to_dict(instances[0].owner),
'assets': data_instances,
}
)
filename = "_".join([
timezone.now().isoformat()[:10],
instances[0].user.get_full_name().lower().replace(' ', '-'),
name,
]) + '.pdf'
with tempfile.TemporaryDirectory() as tmp_dirpath:
output_path = os.path.join(tmp_dirpath, filename)
with open(output_path, 'wb') as f:
f.write(result)
return add_attachment_from_disk(
instances, output_path, requester,
_('Document autogenerated by {} transition.').format(name)
)
@classmethod
@transition_action(precondition=_check_assets_owner)
def must_be_owner_of_asset(cls, instances, **kwargs):
"""Only a precondition matters"""
pass
@classmethod
@transition_action(precondition=_check_assets_user)
def must_be_user_of_asset(cls, instances, **kwargs):
"""Only a precondition matters"""
pass
@classmethod
@transition_action(
form_fields={
'accept': {
'field': forms.BooleanField(
label=_(
'I have read and fully understand and '
'accept the agreement.'
)
)
},
}
)
def accept_asset_release_agreement(cls, instances, requester, **kwargs):
pass
@classmethod
@transition_action(
run_after=['release_report']
)
def assign_requester_as_an_owner(cls, instances, requester, **kwargs):
"""Assign current user as an owner"""
for instance in instances:
instance.owner = requester
instance.save()
@classmethod
@transition_action(
form_fields={
'report_language': {
'field': forms.ModelChoiceField(
label=_('Release report language'),
queryset=ReportLanguage.objects.all().order_by('-default'),
empty_label=None
),
'exclude_from_history': True
}
},
return_attachment=True,
run_after=['assign_owner', 'assign_user']
)
def release_report(cls, instances, requester, transition_id, **kwargs):
report_name = get_report_name_for_transition_id(transition_id)
return cls._generate_report(
instances=instances, name=report_name, requester=requester,
language=kwargs['report_language']
)
@classmethod
@transition_action(run_after=['release_report', 'return_report',
'loan_report'])
def send_attachments_to_user(cls, requester, transition_id, **kwargs):
if kwargs.get('attachments'):
transition = Transition.objects.get(pk=transition_id)
context_func = get_hook(
'back_office.transition_action.email_context'
)
context = context_func(transition_name=transition.name)
email = EmailMessage(
subject=context.subject,
body=context.body,
from_email=context.from_email,
to=[requester.email]
)
for attachment in kwargs['attachments']:
email.attach_file(attachment.file.path)
email.send()
@classmethod
@transition_action(
form_fields={
'report_language': {
'field': forms.ModelChoiceField(
label=_('Return report language'),
queryset=ReportLanguage.objects.all().order_by('-default'),
empty_label=None
),
'exclude_from_history': True
},
},
return_attachment=True,
precondition=_check_user_assigned,
)
def return_report(cls, instances, requester, **kwargs):
return cls._generate_report(
instances=instances, name='return', requester=requester,
language=kwargs['report_language']
)
@classmethod
@transition_action(
form_fields={
'report_language': {
'field': forms.ModelChoiceField(
label=_('Loan report language'),
queryset=ReportLanguage.objects.all().order_by('-default'),
empty_label=None
),
'exclude_from_history': True
}
},
return_attachment=True,
run_after=['assign_owner', 'assign_user', 'assign_loan_end_date']
)
def loan_report(cls, instances, requester, **kwargs):
return cls._generate_report(
name='loan', requester=requester, instances=instances,
language=kwargs['report_language']
)
@classmethod
@transition_action(
verbose_name=_('Convert to DataCenter Asset'),
disable_save_object=True,
only_one_action=True,
form_fields={
'rack': {
'field': forms.CharField(label=_('Rack')),
'autocomplete_field': 'rack',
'autocomplete_model': 'data_center.DataCenterAsset'
},
'position': {
'field': forms.IntegerField(label=_('Position')),
},
'model': {
'field': forms.CharField(label=_('Model')),
'autocomplete_field': 'model',
'autocomplete_model': 'data_center.DataCenterAsset'
},
'service_env': {
'field': forms.CharField(label=_('Service env')),
'autocomplete_field': 'service_env',
'autocomplete_model': 'data_center.DataCenterAsset'
}
}
)
def convert_to_data_center_asset(cls, instances, **kwargs):
from ralph.data_center.models.physical import DataCenterAsset, Rack # noqa
from ralph.back_office.helpers import bo_asset_to_dc_asset_status_converter # noqa
with transaction.atomic():
for i, instance in enumerate(instances):
data_center_asset = DataCenterAsset()
data_center_asset.rack = Rack.objects.get(pk=kwargs['rack'])
data_center_asset.position = kwargs['position']
data_center_asset.service_env = ServiceEnvironment.objects.get(
pk=kwargs['service_env']
)
data_center_asset.model = AssetModel.objects.get(
pk=kwargs['model']
)
target_status = int(
Transition.objects.values_list('target', flat=True).get(pk=kwargs['transition_id']) # noqa
)
data_center_asset.status = bo_asset_to_dc_asset_status_converter( # noqa
instance.status, target_status
)
move_parents_models(
instance, data_center_asset,
exclude_copy_fields=[
'rack', 'model', 'service_env', 'status'
]
)
data_center_asset.save()
# Save new asset to list, required to redirect url.
# RunTransitionView.get_success_url()
instances[i] = data_center_asset
@classmethod
@transition_action()
def assign_hostname_if_empty_or_country_not_match(
cls, instances, **kwargs
):
for instance in instances:
instance._try_assign_hostname(commit=False, force=False)
| 33.845417 | 111 | 0.592498 |
fb091ad40b8b7523ea2848f9f06a3b58390a6b2b | 4,846 | py | Python | tests/test_pytest_zigzag_config.py | ryan-rs/pytest-zigzag | 7116357ab680a5a9bac47af3ac428f706cee0e93 | [
"Apache-2.0"
] | 1 | 2021-01-19T23:59:54.000Z | 2021-01-19T23:59:54.000Z | tests/test_pytest_zigzag_config.py | ryan-rs/pytest-zigzag | 7116357ab680a5a9bac47af3ac428f706cee0e93 | [
"Apache-2.0"
] | 3 | 2018-08-23T19:44:46.000Z | 2019-02-21T22:04:29.000Z | tests/test_pytest_zigzag_config.py | ryan-rs/pytest-zigzag | 7116357ab680a5a9bac47af3ac428f706cee0e93 | [
"Apache-2.0"
] | 3 | 2018-08-17T00:37:15.000Z | 2018-08-21T14:54:56.000Z | # -*- coding: utf-8 -*-
# ======================================================================================================================
# Imports
# ======================================================================================================================
from __future__ import absolute_import
import pytest
from json import dump
# noinspection PyProtectedMember
from _pytest.outcomes import Exit
# noinspection PyProtectedMember
from pytest_zigzag import _load_config_file
# ======================================================================================================================
# Fixtures
# ======================================================================================================================
@pytest.fixture(scope='module')
def invalid_pytest_zigzag_json_config(tmpdir_factory):
"""Create an invalid 'pytest-zigzag-config' on disk.
Args:
tmpdir_factory (_pytest.tmpdir.TempdirFactory): Create a temp directory.
Returns:
str: Path to config file.
"""
config = {
"not_quite_right":
[
"var1",
"var2",
"var3"
]
}
config_path = tmpdir_factory.mktemp('data').join('invalid_config.json').strpath
with open(str(config_path), 'w') as f:
dump(config, f)
return config_path
@pytest.fixture(scope='module')
def invalid_json_file(tmpdir_factory):
"""Create an invalid JSON on disk.
Args:
tmpdir_factory (_pytest.tmpdir.TempdirFactory): Create a temp directory.
Returns:
str: Path to config file.
"""
config_path = tmpdir_factory.mktemp('data').join('invalid.json').strpath
with open(str(config_path), 'w') as f:
f.write('!!!!This is not valid json!!!!!')
return config_path
@pytest.fixture(scope='module')
def valid_json_file_with_job_name(tmpdir_factory):
"""Create a valid JSON on disk.
Args:
tmpdir_factory (_pytest.tmpdir.TempdirFactory): Create a temp directory.
Returns:
str: Path to config file.
"""
config_path = tmpdir_factory.mktemp('data').join('valid.json').strpath
with open(str(config_path), 'w') as f:
f.write("""
{
"pytest_zigzag_env_vars": {
"BUILD_URL": null,
"BUILD_NUMBER": null,
"RE_JOB_ACTION": null,
"RE_JOB_IMAGE": null,
"RE_JOB_SCENARIO": null,
"RE_JOB_BRANCH": null,
"RPC_RELEASE": null,
"RPC_PRODUCT_RELEASE": null,
"OS_ARTIFACT_SHA": null,
"PYTHON_ARTIFACT_SHA": null,
"APT_ARTIFACT_SHA": null,
"REPO_URL": null,
"GIT_URL": null,
"JOB_NAME": "foo",
"MOLECULE_TEST_REPO": null,
"MOLECULE_SCENARIO_NAME": null,
"PATH_TO_TEST_EXEC_DIR": null,
"MOLECULE_GIT_COMMIT": null,
"GIT_COMMIT": null
}
}
""")
return config_path
# ======================================================================================================================
# Tests
# ======================================================================================================================
def test_invalid_config_file(invalid_pytest_zigzag_json_config):
"""Verify that config files that do not comply with the schema are rejected.
Args:
invalid_pytest_zigzag_json_config (str): Path to config file.
"""
# Expect
error_msg = 'does not comply with schema:'
# Test
with pytest.raises(Exit) as e:
_load_config_file(invalid_pytest_zigzag_json_config)
assert error_msg in str(e)
def test_invalid_json_config_file(invalid_json_file):
"""Verify that config files that do not contain valid JSON are rejected.
Args:
invalid_json_file (str): Path to config file.
"""
# Expect
error_msg = 'file is not valid JSON'
# Test
with pytest.raises(Exit) as e:
_load_config_file(invalid_json_file)
assert error_msg in str(e)
def test_valid_json_config_file(valid_json_file_with_job_name):
"""Verify that config files that contain valid JSON are not rejected.
Args:
valid_json_file_with_job_name (str): Path to config file.
"""
# Test
_load_config_file(valid_json_file_with_job_name)
def test_valid_json_config_file_string(valid_json_file_with_job_name):
"""Verify that config files can be customized.
Args:
valid_json_file_with_job_name(str): Path to config file.
"""
# Test
config_dict = _load_config_file(valid_json_file_with_job_name)
assert config_dict['pytest_zigzag_env_vars']['JOB_NAME'] == "foo"
def test_invalid_config_file_path():
"""Verify that an invalid config file path is rejected."""
# Expect
error_msg = 'Failed to load'
# Test
with pytest.raises(Exit) as e:
_load_config_file('/path/does/not/exist')
assert error_msg in str(e)
| 27.378531 | 120 | 0.570161 |
933e26062aa5bb046d16c7da89513e2bcde71391 | 1,742 | py | Python | salt/runners/diff.py | pwdng/salt | dea9cedfd6a78f810b0e51a9161bec9956379094 | [
"Apache-2.0"
] | 1 | 2019-04-16T11:09:50.000Z | 2019-04-16T11:09:50.000Z | salt/runners/diff.py | rakyll/salt | 63a497b9114784745712c77eeb3299d6e947c13f | [
"Apache-2.0"
] | null | null | null | salt/runners/diff.py | rakyll/salt | 63a497b9114784745712c77eeb3299d6e947c13f | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
General map/reduce style salt-runner for aggregating identical results returned
by several different minions.
Aggregated results are sorted by the size of the minion pools which returned
identical results.
Useful for playing the game: " some of these things are not like the others... "
when identifying discrepancies in a large infrastructure managed by salt.
'''
import salt.client
def hash(*args, **kwargs):
'''
Return the aggregated and sorted results from a salt command submitted by a
salt runner...
CLI Example #1: ( functionally equivalent to "salt-run manage.up" )
salt-run diff.hash "*" test.ping
CLI Example #2: ( find an "outlier" minion config file )
salt-run diff.hash "*" file.get_hash /etc/salt/minion
'''
import hashlib
tgt = args[0]
cmd = args[1]
client = salt.client.LocalClient(__opts__['conf_file'])
minions = client.cmd(tgt, cmd, args[2:], timeout=__opts__['timeout'])
ret = {}
# hash minion return values as a string
for minion in sorted(minions):
h = hashlib.sha256(str(minions[minion])).hexdigest()
if not h in ret:
ret[h] = []
ret[h].append(minion)
for k in sorted(ret, key=lambda k: len(ret[k]), reverse=True):
# return aggregated results, sorted by size of the hash pool
# TODO: use a custom outputter for better display results
print 'minion pool:\n' \
'-----------'
print ret[k]
print 'pool size:\n' \
'---------'
print ' ' + str(len(ret[k]))
print 'result:\n' \
'------'
print ' ' + str(minions[ret[k][0]])
print '\n'
return ret
| 27.650794 | 80 | 0.604478 |
fb7a25fb400c30b167cb946a64670900034b910c | 4,888 | py | Python | irishep/datasets/spark_dataset.py | lgray/spark-hep-query | 3157d31595da41e5eb0424b6e9c896a710fcfbd8 | [
"Apache-2.0"
] | null | null | null | irishep/datasets/spark_dataset.py | lgray/spark-hep-query | 3157d31595da41e5eb0424b6e9c896a710fcfbd8 | [
"Apache-2.0"
] | null | null | null | irishep/datasets/spark_dataset.py | lgray/spark-hep-query | 3157d31595da41e5eb0424b6e9c896a710fcfbd8 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019, IRIS-HEP
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# noinspection PyUnresolvedReferences
from pyspark.sql.functions import lit, pandas_udf, PandasUDFType
from pyspark.sql.types import DoubleType
from irishep.datasets.dataset import Dataset
class SparkDataset(Dataset):
# There is no support in arrow for certain datatypes. Avoid exceptions by
# casting the column to a supported datatype
pyarrow_column_coverters = {
"array<boolean>": lambda col: col.cast("array<int >")
}
def _pyarrow_compatble_column(self, col, col_type):
"""
Convert the colummn into a cast statement if the column's type is not
supported by pyArrow
:param col: Column Object
:param col_type: Type name as a string
:return: Column, or casted column
"""
if col_type in self.pyarrow_column_coverters:
return self.pyarrow_column_coverters[col_type](col)
else:
return col
def __init__(self, name, dataframe):
super().__init__(name)
if 'dataset' not in dataframe.columns:
self.dataframe = dataframe.withColumn("dataset", lit(name))
else:
self.dataframe = dataframe
def count(self):
return self.dataframe.count()
@property
def columns(self):
"""
Fetch the list of column names from the dataset
:return: List of string column names
"""
return self.dataframe.columns
@property
def columns_with_types(self):
"""
Fetch the list of column names along with their datatypes
:return: List of tuples with column name and datatype as string
"""
return self.dataframe.dtypes
def select_columns(self, columns):
"""
Create a new dataset object that contains only the specified columns.
For techincal reasons there are some identifying columns that will
be included in the result even if they are not requested. Columns
with a type that is not supported by pyarrow will be casted to a
supported type
:param columns: List of column names
:return: New dataframe with only the requested columns
"""
columns2 = set(columns).union(
["dataset", "run", "luminosityBlock", "event"])
projected = self.dataframe.select(list(columns2))
columns3 = [self._pyarrow_compatble_column(projected[c[0]], c[1]) for c
in projected.dtypes]
return SparkDataset(name=self.name,
dataframe=self.dataframe.select(list(columns3)))
def show(self):
"""
Print out a friendly representation of the dataframe
:return: None
"""
self.dataframe.show()
def repartition(self, num_partitions):
"""
Distribute the dataframe across the given number of partitions
:param num_partitions: Number of partitions
:return: None
"""
self.dataframe = self.dataframe.repartition(num_partitions)
def execute_udf(self, user_func):
zpeak_udf = pandas_udf(user_func.function, DoubleType(),
PandasUDFType.SCALAR)
# The Describe operation forces the DAG to execute
self.dataframe.select(
zpeak_udf(
*self.udf_arguments(user_func.physics_objects))).describe()
| 38.793651 | 80 | 0.683101 |
f3dac2f604053314b3fda69799974b76479fdf43 | 460 | py | Python | tests/test_market.py | kt1202658/coincheck | 4e1062f1e564cddceec2f6fb4d70fe3a3ab645bc | [
"MIT"
] | 79 | 2015-04-07T03:42:18.000Z | 2022-03-19T12:53:36.000Z | tests/test_market.py | kt1202658/coincheck | 4e1062f1e564cddceec2f6fb4d70fe3a3ab645bc | [
"MIT"
] | 8 | 2015-04-07T09:00:47.000Z | 2017-08-25T13:07:29.000Z | tests/test_market.py | kt1202658/coincheck | 4e1062f1e564cddceec2f6fb4d70fe3a3ab645bc | [
"MIT"
] | 28 | 2015-09-28T14:03:08.000Z | 2021-04-12T09:57:21.000Z | import sys,os
current_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(os.path.join(current_dir, '../'))
from coincheck.market import Market
def test_ticker():
m1 = Market()
return m1.ticker()
def test_trades():
m1 = Market()
return m1.trades()
def test_orderbooks():
m1 = Market()
return m1.orderbooks()
if __name__ == '__main__':
print(test_ticker())
test_trades()
test_orderbooks()
| 19.166667 | 73 | 0.673913 |
1620ef1f3003aec6dec22bd731cca77ef760e7cb | 356 | py | Python | soal_3.py | LeadyPramuditaPutri/Test-Arkademy-Batch-11 | d0ec41de86fc08b933ea5d905b50f9ee3e0b7738 | [
"Apache-2.0"
] | null | null | null | soal_3.py | LeadyPramuditaPutri/Test-Arkademy-Batch-11 | d0ec41de86fc08b933ea5d905b50f9ee3e0b7738 | [
"Apache-2.0"
] | null | null | null | soal_3.py | LeadyPramuditaPutri/Test-Arkademy-Batch-11 | d0ec41de86fc08b933ea5d905b50f9ee3e0b7738 | [
"Apache-2.0"
] | null | null | null | def segitiga(n) :
for i in range(1,n+1) :
for j in range(1,i) :
print (" ",end="")
for j in range(1,(n * 2 - (2 * i - 1)) +1) :
if (i == 1 or j == 1 or
j == (n * 2 - (2 * i - 1))) :
print ("*", end="")
else :
print(" ", end="")
print (""),
n = int(input("masukkan angka : "))
segitiga(n)
| 19.777778 | 48 | 0.384831 |
2b1f1f4816cda178decd786c240be0c17ff5a3f0 | 345 | py | Python | Browser.py | kifner-mateusz/PipeSubs | c104c51f525770766697836896039d15f8f7f2cf | [
"MIT"
] | null | null | null | Browser.py | kifner-mateusz/PipeSubs | c104c51f525770766697836896039d15f8f7f2cf | [
"MIT"
] | null | null | null | Browser.py | kifner-mateusz/PipeSubs | c104c51f525770766697836896039d15f8f7f2cf | [
"MIT"
] | null | null | null | import webbrowser
class Browser:
""" obsługuje otwieranie przeglądarki (myslałem że będzie tu więcej) """
def __init__(self):
# TODO: możliwość wybrania przeglądarki
self._browser_path = ""
def open_webpage(self, url):
""" Otwiera przeglądarkę z podanym url """
webbrowser.get().open(url, new=2)
| 24.642857 | 76 | 0.649275 |
32cc861728a1c05b199f2d471881dbc12b87489e | 9,084 | py | Python | app/settings.py | EncryptEx/myhackupc | 3b7c8bce8528e61aab65c976a3c9b4a700210c09 | [
"MIT"
] | null | null | null | app/settings.py | EncryptEx/myhackupc | 3b7c8bce8528e61aab65c976a3c9b4a700210c09 | [
"MIT"
] | null | null | null | app/settings.py | EncryptEx/myhackupc | 3b7c8bce8528e61aab65c976a3c9b4a700210c09 | [
"MIT"
] | null | null | null | """
Django settings for testP project.
Generated by 'django-admin startproject' using Django 1.10.3.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
import dj_database_url
from .hackathon_variables import *
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = os.environ.get('SECRET', ')6+vf9(1tihg@u8!+(0abk+y*#$3r$(-d=g5qhm@1&lo4pays&')
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = os.environ.get('PROD_MODE', "false").lower() == "false"
ALLOWED_HOSTS = ['localhost', '127.0.0.1', '0.0.0.0']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.humanize',
'django.contrib.messages',
'django.contrib.staticfiles',
'bootstrap3',
'django_tables2',
'organizers',
'checkin',
'user',
'applications',
'teams',
'stats',
'storages',
'multiselectfield',
'meals',
'judging',
'offer',
'rest_framework',
'rest_framework.authtoken',
'cas_server'
]
if BAGGAGE_ENABLED:
INSTALLED_APPS.append('baggage')
if REIMBURSEMENT_ENABLED:
INSTALLED_APPS.append('reimbursement')
if HARDWARE_ENABLED:
INSTALLED_APPS.append('hardware')
if DISCORD_HACKATHON:
INSTALLED_APPS.append('discord')
AUTHENTICATION_BACKENDS = (
'django.contrib.auth.backends.ModelBackend',
)
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'app.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': ['app/templates', ],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
'django.template.context_processors.request',
'app.utils.hackathon_vars_processor'
],
},
},
]
WSGI_APPLICATION = 'app.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
if os.environ.get('DATABASE_URL', None):
DATABASES['default'] = dj_database_url.config(
conn_max_age=600,
ssl_require=os.environ.get('DATABASE_SECURE', 'true').lower() != 'false',
)
if os.environ.get('PG_PWD', None):
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': os.environ.get('PG_NAME', 'backend'),
'USER': os.environ.get('PG_USER', 'backenduser'),
'PASSWORD': os.environ.get('PG_PWD'),
'HOST': os.environ.get('PG_HOST', 'localhost'),
'PORT': '5432',
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Logging config to send logs to email automatically
LOGGING = {
'version': 1,
'filters': {
'require_debug_false': {
'()': 'django.utils.log.RequireDebugFalse',
},
},
'handlers': {
'admin_email': {
'level': 'ERROR',
'filters': ['require_debug_false'],
'class': 'app.log.HackathonDevEmailHandler',
},
},
'loggers': {
'django': {
'level': 'ERROR',
'handlers': ['admin_email'],
},
},
}
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
STATIC_ROOT = BASE_DIR + '/staticfiles'
STATICFILES_DIRS = [
os.path.join(BASE_DIR, os.path.join('app', "static")),
]
STATICFILES_STORAGE = 'django.contrib.staticfiles.storage.ManifestStaticFilesStorage'
# Dev emails set up
if os.environ.get('ADMIN_EMAIL', None):
try:
HACKATHON_DEV_EMAILS.append(os.environ['ADMIN_EMAIL'])
except NameError:
HACKATHON_DEV_EMAILS = [os.environ['ADMIN_EMAIL'],]
# File upload configuration
MEDIA_ROOT = 'files'
MEDIA_URL = '/files/'
if os.environ.get('DROPBOX_OAUTH2_TOKEN', False):
DEFAULT_FILE_STORAGE = 'storages.backends.dropbox.DropBoxStorage'
DROPBOX_OAUTH2_TOKEN = os.environ.get('DROPBOX_OAUTH2_TOKEN', False)
DROPBOX_ROOT_PATH = HACKATHON_DOMAIN.replace('.', '_')
# Sendgrid API key
SENDGRID_API_KEY = os.environ.get('SG_KEY', None)
# SMTP
EMAIL_HOST = os.environ.get('EMAIL_HOST', None)
EMAIL_PORT = os.environ.get('EMAIL_PORT', None)
EMAIL_HOST_USER = os.environ.get('EMAIL_HOST_USER', None)
EMAIL_HOST_PASSWORD = os.environ.get('EMAIL_HOST_PASSWORD', None)
# Load filebased email backend if no Sendgrid credentials and debug mode
if not SENDGRID_API_KEY and not EMAIL_HOST and DEBUG:
EMAIL_BACKEND = 'django.core.mail.backends.filebased.EmailBackend'
EMAIL_FILE_PATH = 'tmp/email-messages/'
else:
if SENDGRID_API_KEY:
EMAIL_BACKEND = "sgbackend.SendGridBackend"
else:
EMAIL_BACKEND = "django.core.mail.backends.smtp.EmailBackend"
# Set up custom auth
AUTH_USER_MODEL = 'user.User'
LOGIN_URL = 'account_login'
PASSWORD_RESET_TIMEOUT = 86400 # 1 day
BOOTSTRAP3 = {
# Don't normally want placeholders.
'set_placeholder': False,
'required_css_class': 'required',
}
if DEBUG:
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.dummy.DummyCache',
}
}
else:
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.filebased.FileBasedCache',
'LOCATION': os.path.join(BASE_DIR, 'cache'),
}
}
OAUTH_PROVIDERS = {
'mlh': {
'auth_url': 'https://my.mlh.io/oauth/authorize',
'token_url': 'https://my.mlh.io/oauth/token',
'id': os.environ.get('MLH_CLIENT_SECRET', '').split('@')[0],
'secret': os.environ.get('MLH_CLIENT_SECRET', '@').split('@')[1],
'scope': 'email+event+education+phone_number',
'user_url': 'https://my.mlh.io/api/v2/user.json'
}
}
REST_FRAMEWORK = {
'DEFAULT_AUTHENTICATION_CLASSES': [
'rest_framework.authentication.TokenAuthentication',
],
'DEFAULT_RENDERER_CLASSES': (
'rest_framework.renderers.JSONRenderer',
),
}
# Add domain to allowed hosts
ALLOWED_HOSTS.append(HACKATHON_DOMAIN)
# Deployment configurations for proxy pass and csrf
CSRF_TRUSTED_ORIGINS = ALLOWED_HOSTS
USE_X_FORWARDED_HOST = True
SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')
# Maximum file upload size for forms
MAX_UPLOAD_SIZE = 5242880
# Max number of votation application from 1 to MAX_VOTES
MAX_VOTES = 5
# Max number of votes that can have one application
MAX_VOTES_TO_APP = 30
APPLICATION_EXPIRATION_TYPES = {
'H': True, # Hacker allways expire, do not change this
'M': MENTOR_EXPIRES, # Mentor can expire
'V': VOLUNTEER_EXPIRES, # Volunteer can expire
}
MEALS_TOKEN = os.environ.get('MEALS_TOKEN', None)
DISCORD_CLIENT_ID = os.environ.get('DISCORD_CLIENT_ID', None)
DISCORD_SECRET_ID = os.environ.get('DISCORD_SECRET_ID', None)
IP_SERVER = os.environ.get('IP_SERVER', '')
if IP_SERVER:
ALLOWED_HOSTS.append(IP_SERVER)
GOOGLE_RECAPTCHA_SECRET_KEY = os.environ.get('GOOGLE_RECAPTCHA_SECRET_KEY', '')
GOOGLE_RECAPTCHA_SITE_KEY = os.environ.get('GOOGLE_RECAPTCHA_SITE_KEY', '')
DEFAULT_AUTO_FIELD = 'django.db.models.AutoField'
CAS_SERVER = os.environ.get('CAS_SERVER', 'False') == 'True'
CAS_LOGIN_TEMPLATE = 'login_cas.html'
CAS_LOGGED_TEMPLATE = 'login_cas_done.html'
CAS_WARN_TEMPLATE = 'login_cas_done.html'
CAS_AUTH_CLASS = 'user.auth.MyHackUPCAuthUser'
SESSION_COOKIE_AGE = 86400
X_FRAME_OPTIONS = 'SAMEORIGIN'
| 28.838095 | 91 | 0.677125 |
a9f6266ace3aa14efde1c2e7f7fec210d965847f | 9,360 | py | Python | saleor/product/utils/availability.py | victor-abz/saleor | f8e2b49703d995d4304d5a690dbe9c83631419d0 | [
"CC-BY-4.0"
] | 1,392 | 2021-10-06T15:54:28.000Z | 2022-03-31T20:50:55.000Z | saleor/product/utils/availability.py | victor-abz/saleor | f8e2b49703d995d4304d5a690dbe9c83631419d0 | [
"CC-BY-4.0"
] | 888 | 2021-10-06T10:48:54.000Z | 2022-03-31T11:00:30.000Z | saleor/product/utils/availability.py | victor-abz/saleor | f8e2b49703d995d4304d5a690dbe9c83631419d0 | [
"CC-BY-4.0"
] | 538 | 2021-10-07T16:21:27.000Z | 2022-03-31T22:58:57.000Z | from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import opentracing
from django.conf import settings
from django_countries.fields import Country
from prices import MoneyRange, TaxedMoney, TaxedMoneyRange
from ...channel.models import Channel
from ...core.utils import to_local_currency
from ...discount import DiscountInfo
from ...discount.utils import calculate_discounted_price
from ...product.models import (
Collection,
Product,
ProductChannelListing,
ProductVariant,
ProductVariantChannelListing,
)
if TYPE_CHECKING:
# flake8: noqa
from ...plugins.manager import PluginsManager
@dataclass
class ProductAvailability:
on_sale: bool
price_range: Optional[TaxedMoneyRange]
price_range_undiscounted: Optional[TaxedMoneyRange]
discount: Optional[TaxedMoney]
price_range_local_currency: Optional[TaxedMoneyRange]
discount_local_currency: Optional[TaxedMoneyRange]
@dataclass
class VariantAvailability:
on_sale: bool
price: TaxedMoney
price_undiscounted: TaxedMoney
discount: Optional[TaxedMoney]
price_local_currency: Optional[TaxedMoney]
discount_local_currency: Optional[TaxedMoney]
def _get_total_discount_from_range(
undiscounted: TaxedMoneyRange, discounted: TaxedMoneyRange
) -> Optional[TaxedMoney]:
"""Calculate the discount amount between two TaxedMoneyRange.
Subtract two prices and return their total discount, if any.
Otherwise, it returns None.
"""
return _get_total_discount(undiscounted.start, discounted.start)
def _get_total_discount(
undiscounted: TaxedMoney, discounted: TaxedMoney
) -> Optional[TaxedMoney]:
"""Calculate the discount amount between two TaxedMoney.
Subtract two prices and return their total discount, if any.
Otherwise, it returns None.
"""
if undiscounted > discounted:
return undiscounted - discounted
return None
def _get_product_price_range(
discounted: Union[MoneyRange, TaxedMoneyRange],
undiscounted: Union[MoneyRange, TaxedMoneyRange],
local_currency: Optional[str] = None,
) -> Tuple[TaxedMoneyRange, TaxedMoney]:
price_range_local = None
discount_local_currency = None
if local_currency:
price_range_local = to_local_currency(discounted, local_currency)
undiscounted_local = to_local_currency(undiscounted, local_currency)
if undiscounted_local and undiscounted_local.start > price_range_local.start:
discount_local_currency = undiscounted_local.start - price_range_local.start
return price_range_local, discount_local_currency
def get_variant_price(
*,
variant: ProductVariant,
variant_channel_listing: ProductVariantChannelListing,
product: Product,
collections: Iterable[Collection],
discounts: Iterable[DiscountInfo],
channel: Channel
):
return calculate_discounted_price(
product=product,
price=variant_channel_listing.price,
collections=collections,
discounts=discounts,
channel=channel,
variant_id=variant.id,
)
def get_product_price_range(
*,
product: Product,
variants: Iterable[ProductVariant],
variants_channel_listing: List[ProductVariantChannelListing],
collections: Iterable[Collection],
discounts: Iterable[DiscountInfo],
channel: Channel,
) -> Optional[MoneyRange]:
if variants:
variants_channel_listing_dict = {
channel_listing.variant_id: channel_listing
for channel_listing in variants_channel_listing
if channel_listing
}
prices = []
for variant in variants:
variant_channel_listing = variants_channel_listing_dict.get(variant.id)
if variant_channel_listing:
price = get_variant_price(
variant=variant,
variant_channel_listing=variant_channel_listing,
product=product,
collections=collections,
discounts=discounts,
channel=channel,
)
prices.append(price)
if prices:
return MoneyRange(min(prices), max(prices))
return None
def get_product_availability(
*,
product: Product,
product_channel_listing: Optional[ProductChannelListing],
variants: Iterable[ProductVariant],
variants_channel_listing: List[ProductVariantChannelListing],
collections: Iterable[Collection],
discounts: Iterable[DiscountInfo],
channel: Channel,
manager: "PluginsManager",
country: Country,
local_currency: Optional[str] = None,
) -> ProductAvailability:
channel_slug = channel.slug
discounted = None
discounted_net_range = get_product_price_range(
product=product,
variants=variants,
variants_channel_listing=variants_channel_listing,
collections=collections,
discounts=discounts,
channel=channel,
)
if discounted_net_range is not None:
discounted = TaxedMoneyRange(
start=manager.apply_taxes_to_product(
product,
discounted_net_range.start,
country,
channel_slug=channel_slug,
),
stop=manager.apply_taxes_to_product(
product,
discounted_net_range.stop,
country,
channel_slug=channel_slug,
),
)
undiscounted = None
undiscounted_net_range = get_product_price_range(
product=product,
variants=variants,
variants_channel_listing=variants_channel_listing,
collections=collections,
discounts=[],
channel=channel,
)
if undiscounted_net_range is not None:
undiscounted = TaxedMoneyRange(
start=manager.apply_taxes_to_product(
product,
undiscounted_net_range.start,
country,
channel_slug=channel_slug,
),
stop=manager.apply_taxes_to_product(
product,
undiscounted_net_range.stop,
country,
channel_slug=channel_slug,
),
)
discount = None
price_range_local = None
discount_local_currency = None
if undiscounted_net_range is not None and discounted_net_range is not None:
discount = _get_total_discount_from_range(undiscounted, discounted)
price_range_local, discount_local_currency = _get_product_price_range(
discounted, undiscounted, local_currency
)
is_visible = (
product_channel_listing is not None and product_channel_listing.is_visible
)
is_on_sale = is_visible and discount is not None
return ProductAvailability(
on_sale=is_on_sale,
price_range=discounted,
price_range_undiscounted=undiscounted,
discount=discount,
price_range_local_currency=price_range_local,
discount_local_currency=discount_local_currency,
)
def get_variant_availability(
variant: ProductVariant,
variant_channel_listing: ProductVariantChannelListing,
product: Product,
product_channel_listing: Optional[ProductChannelListing],
collections: Iterable[Collection],
discounts: Iterable[DiscountInfo],
channel: Channel,
plugins: "PluginsManager",
country: Country,
local_currency: Optional[str] = None,
) -> VariantAvailability:
with opentracing.global_tracer().start_active_span("get_variant_availability"):
channel_slug = channel.slug
discounted = plugins.apply_taxes_to_product(
product,
get_variant_price(
variant=variant,
variant_channel_listing=variant_channel_listing,
product=product,
collections=collections,
discounts=discounts,
channel=channel,
),
country,
channel_slug=channel_slug,
)
undiscounted = plugins.apply_taxes_to_product(
product,
get_variant_price(
variant=variant,
variant_channel_listing=variant_channel_listing,
product=product,
collections=collections,
discounts=[],
channel=channel,
),
country,
channel_slug=channel_slug,
)
discount = _get_total_discount(undiscounted, discounted)
if local_currency:
price_local_currency = to_local_currency(discounted, local_currency)
discount_local_currency = to_local_currency(discount, local_currency)
else:
price_local_currency = None
discount_local_currency = None
is_visible = (
product_channel_listing is not None and product_channel_listing.is_visible
)
is_on_sale = is_visible and discount is not None
return VariantAvailability(
on_sale=is_on_sale,
price=discounted,
price_undiscounted=undiscounted,
discount=discount,
price_local_currency=price_local_currency,
discount_local_currency=discount_local_currency,
)
| 32.054795 | 88 | 0.674038 |
364ccca6ca5d09b9dade5a23afa8d9b6d3799c5f | 17,342 | py | Python | src/pip/_internal/vcs/git.py | belonesox/pip | ad9d492989bdfd351283cac7a9b33085c2732b41 | [
"MIT"
] | 1 | 2021-08-12T20:22:19.000Z | 2021-08-12T20:22:19.000Z | src/pip/_internal/vcs/git.py | smooth80/pip | 7c3abccd22c4bbd6c1da2ae41845ffbd26c1bb17 | [
"MIT"
] | null | null | null | src/pip/_internal/vcs/git.py | smooth80/pip | 7c3abccd22c4bbd6c1da2ae41845ffbd26c1bb17 | [
"MIT"
] | 1 | 2021-06-11T19:14:32.000Z | 2021-06-11T19:14:32.000Z | import logging
import os.path
import pathlib
import re
import urllib.parse
import urllib.request
from typing import List, Optional, Tuple
from pip._vendor.packaging.version import _BaseVersion
from pip._vendor.packaging.version import parse as parse_version
from pip._internal.exceptions import BadCommand, InstallationError
from pip._internal.utils.misc import HiddenText, display_path, hide_url
from pip._internal.utils.subprocess import make_command
from pip._internal.vcs.versioncontrol import (
AuthInfo,
RemoteNotFoundError,
RemoteNotValidError,
RevOptions,
VersionControl,
find_path_to_setup_from_repo_root,
vcs,
)
urlsplit = urllib.parse.urlsplit
urlunsplit = urllib.parse.urlunsplit
logger = logging.getLogger(__name__)
HASH_REGEX = re.compile('^[a-fA-F0-9]{40}$')
# SCP (Secure copy protocol) shorthand. e.g. 'git@example.com:foo/bar.git'
SCP_REGEX = re.compile(r"""^
# Optional user, e.g. 'git@'
(\w+@)?
# Server, e.g. 'github.com'.
([^/:]+):
# The server-side path. e.g. 'user/project.git'. Must start with an
# alphanumeric character so as not to be confusable with a Windows paths
# like 'C:/foo/bar' or 'C:\foo\bar'.
(\w[^:]*)
$""", re.VERBOSE)
def looks_like_hash(sha):
# type: (str) -> bool
return bool(HASH_REGEX.match(sha))
class Git(VersionControl):
name = 'git'
dirname = '.git'
repo_name = 'clone'
schemes = (
'git+http', 'git+https', 'git+ssh', 'git+git', 'git+file',
)
# Prevent the user's environment variables from interfering with pip:
# https://github.com/pypa/pip/issues/1130
unset_environ = ('GIT_DIR', 'GIT_WORK_TREE')
default_arg_rev = 'HEAD'
@staticmethod
def get_base_rev_args(rev):
# type: (str) -> List[str]
return [rev]
def is_immutable_rev_checkout(self, url, dest):
# type: (str, str) -> bool
_, rev_options = self.get_url_rev_options(hide_url(url))
if not rev_options.rev:
return False
if not self.is_commit_id_equal(dest, rev_options.rev):
# the current commit is different from rev,
# which means rev was something else than a commit hash
return False
# return False in the rare case rev is both a commit hash
# and a tag or a branch; we don't want to cache in that case
# because that branch/tag could point to something else in the future
is_tag_or_branch = bool(
self.get_revision_sha(dest, rev_options.rev)[0]
)
return not is_tag_or_branch
def get_git_version(self):
# type: () -> _BaseVersion
VERSION_PFX = 'git version '
version = self.run_command(
['version'], show_stdout=False, stdout_only=True
)
if version.startswith(VERSION_PFX):
version = version[len(VERSION_PFX):].split()[0]
else:
version = ''
# get first 3 positions of the git version because
# on windows it is x.y.z.windows.t, and this parses as
# LegacyVersion which always smaller than a Version.
version = '.'.join(version.split('.')[:3])
return parse_version(version)
@classmethod
def get_current_branch(cls, location):
# type: (str) -> Optional[str]
"""
Return the current branch, or None if HEAD isn't at a branch
(e.g. detached HEAD).
"""
# git-symbolic-ref exits with empty stdout if "HEAD" is a detached
# HEAD rather than a symbolic ref. In addition, the -q causes the
# command to exit with status code 1 instead of 128 in this case
# and to suppress the message to stderr.
args = ['symbolic-ref', '-q', 'HEAD']
output = cls.run_command(
args,
extra_ok_returncodes=(1, ),
show_stdout=False,
stdout_only=True,
cwd=location,
)
ref = output.strip()
if ref.startswith('refs/heads/'):
return ref[len('refs/heads/'):]
return None
@classmethod
def get_revision_sha(cls, dest, rev):
# type: (str, str) -> Tuple[Optional[str], bool]
"""
Return (sha_or_none, is_branch), where sha_or_none is a commit hash
if the revision names a remote branch or tag, otherwise None.
Args:
dest: the repository directory.
rev: the revision name.
"""
# Pass rev to pre-filter the list.
output = cls.run_command(
['show-ref', rev],
cwd=dest,
show_stdout=False,
stdout_only=True,
on_returncode='ignore',
)
refs = {}
# NOTE: We do not use splitlines here since that would split on other
# unicode separators, which can be maliciously used to install a
# different revision.
for line in output.strip().split("\n"):
line = line.rstrip("\r")
if not line:
continue
try:
ref_sha, ref_name = line.split(" ", maxsplit=2)
except ValueError:
# Include the offending line to simplify troubleshooting if
# this error ever occurs.
raise ValueError(f'unexpected show-ref line: {line!r}')
refs[ref_name] = ref_sha
branch_ref = f'refs/remotes/origin/{rev}'
tag_ref = f'refs/tags/{rev}'
sha = refs.get(branch_ref)
if sha is not None:
return (sha, True)
sha = refs.get(tag_ref)
return (sha, False)
@classmethod
def _should_fetch(cls, dest, rev):
# type: (str, str) -> bool
"""
Return true if rev is a ref or is a commit that we don't have locally.
Branches and tags are not considered in this method because they are
assumed to be always available locally (which is a normal outcome of
``git clone`` and ``git fetch --tags``).
"""
if rev.startswith("refs/"):
# Always fetch remote refs.
return True
if not looks_like_hash(rev):
# Git fetch would fail with abbreviated commits.
return False
if cls.has_commit(dest, rev):
# Don't fetch if we have the commit locally.
return False
return True
@classmethod
def resolve_revision(cls, dest, url, rev_options):
# type: (str, HiddenText, RevOptions) -> RevOptions
"""
Resolve a revision to a new RevOptions object with the SHA1 of the
branch, tag, or ref if found.
Args:
rev_options: a RevOptions object.
"""
rev = rev_options.arg_rev
# The arg_rev property's implementation for Git ensures that the
# rev return value is always non-None.
assert rev is not None
sha, is_branch = cls.get_revision_sha(dest, rev)
if sha is not None:
rev_options = rev_options.make_new(sha)
rev_options.branch_name = rev if is_branch else None
return rev_options
# Do not show a warning for the common case of something that has
# the form of a Git commit hash.
if not looks_like_hash(rev):
logger.warning(
"Did not find branch or tag '%s', assuming revision or ref.",
rev,
)
if not cls._should_fetch(dest, rev):
return rev_options
# fetch the requested revision
cls.run_command(
make_command('fetch', '-q', url, rev_options.to_args()),
cwd=dest,
)
# Change the revision to the SHA of the ref we fetched
sha = cls.get_revision(dest, rev='FETCH_HEAD')
rev_options = rev_options.make_new(sha)
return rev_options
@classmethod
def is_commit_id_equal(cls, dest, name):
# type: (str, Optional[str]) -> bool
"""
Return whether the current commit hash equals the given name.
Args:
dest: the repository directory.
name: a string name.
"""
if not name:
# Then avoid an unnecessary subprocess call.
return False
return cls.get_revision(dest) == name
def fetch_new(self, dest, url, rev_options):
# type: (str, HiddenText, RevOptions) -> None
rev_display = rev_options.to_display()
logger.info('Cloning %s%s to %s', url, rev_display, display_path(dest))
self.run_command(make_command('clone', '-q', url, dest))
if rev_options.rev:
# Then a specific revision was requested.
rev_options = self.resolve_revision(dest, url, rev_options)
branch_name = getattr(rev_options, 'branch_name', None)
if branch_name is None:
# Only do a checkout if the current commit id doesn't match
# the requested revision.
if not self.is_commit_id_equal(dest, rev_options.rev):
cmd_args = make_command(
'checkout', '-q', rev_options.to_args(),
)
self.run_command(cmd_args, cwd=dest)
elif self.get_current_branch(dest) != branch_name:
# Then a specific branch was requested, and that branch
# is not yet checked out.
track_branch = f'origin/{branch_name}'
cmd_args = [
'checkout', '-b', branch_name, '--track', track_branch,
]
self.run_command(cmd_args, cwd=dest)
#: repo may contain submodules
self.update_submodules(dest)
def switch(self, dest, url, rev_options):
# type: (str, HiddenText, RevOptions) -> None
self.run_command(
make_command('config', 'remote.origin.url', url),
cwd=dest,
)
cmd_args = make_command('checkout', '-q', rev_options.to_args())
self.run_command(cmd_args, cwd=dest)
self.update_submodules(dest)
def update(self, dest, url, rev_options):
# type: (str, HiddenText, RevOptions) -> None
# First fetch changes from the default remote
if self.get_git_version() >= parse_version('1.9.0'):
# fetch tags in addition to everything else
self.run_command(['fetch', '-q', '--tags'], cwd=dest)
else:
self.run_command(['fetch', '-q'], cwd=dest)
# Then reset to wanted revision (maybe even origin/master)
rev_options = self.resolve_revision(dest, url, rev_options)
cmd_args = make_command('reset', '--hard', '-q', rev_options.to_args())
self.run_command(cmd_args, cwd=dest)
#: update submodules
self.update_submodules(dest)
@classmethod
def get_remote_url(cls, location):
# type: (str) -> str
"""
Return URL of the first remote encountered.
Raises RemoteNotFoundError if the repository does not have a remote
url configured.
"""
# We need to pass 1 for extra_ok_returncodes since the command
# exits with return code 1 if there are no matching lines.
stdout = cls.run_command(
['config', '--get-regexp', r'remote\..*\.url'],
extra_ok_returncodes=(1, ),
show_stdout=False,
stdout_only=True,
cwd=location,
)
remotes = stdout.splitlines()
try:
found_remote = remotes[0]
except IndexError:
raise RemoteNotFoundError
for remote in remotes:
if remote.startswith('remote.origin.url '):
found_remote = remote
break
url = found_remote.split(' ')[1]
return cls._git_remote_to_pip_url(url.strip())
@staticmethod
def _git_remote_to_pip_url(url):
# type: (str) -> str
"""
Convert a remote url from what git uses to what pip accepts.
There are 3 legal forms **url** may take:
1. A fully qualified url: ssh://git@example.com/foo/bar.git
2. A local project.git folder: /path/to/bare/repository.git
3. SCP shorthand for form 1: git@example.com:foo/bar.git
Form 1 is output as-is. Form 2 must be converted to URI and form 3 must
be converted to form 1.
See the corresponding test test_git_remote_url_to_pip() for examples of
sample inputs/outputs.
"""
if re.match(r"\w+://", url):
# This is already valid. Pass it though as-is.
return url
if os.path.exists(url):
# A local bare remote (git clone --mirror).
# Needs a file:// prefix.
return pathlib.PurePath(url).as_uri()
scp_match = SCP_REGEX.match(url)
if scp_match:
# Add an ssh:// prefix and replace the ':' with a '/'.
return scp_match.expand(r"ssh://\1\2/\3")
# Otherwise, bail out.
raise RemoteNotValidError(url)
@classmethod
def has_commit(cls, location, rev):
# type: (str, str) -> bool
"""
Check if rev is a commit that is available in the local repository.
"""
try:
cls.run_command(
['rev-parse', '-q', '--verify', "sha^" + rev],
cwd=location,
log_failed_cmd=False,
)
except InstallationError:
return False
else:
return True
@classmethod
def get_revision(cls, location, rev=None):
# type: (str, Optional[str]) -> str
if rev is None:
rev = 'HEAD'
current_rev = cls.run_command(
['rev-parse', rev],
show_stdout=False,
stdout_only=True,
cwd=location,
)
return current_rev.strip()
@classmethod
def get_subdirectory(cls, location):
# type: (str) -> Optional[str]
"""
Return the path to setup.py, relative to the repo root.
Return None if setup.py is in the repo root.
"""
# find the repo root
git_dir = cls.run_command(
['rev-parse', '--git-dir'],
show_stdout=False,
stdout_only=True,
cwd=location,
).strip()
if not os.path.isabs(git_dir):
git_dir = os.path.join(location, git_dir)
repo_root = os.path.abspath(os.path.join(git_dir, '..'))
return find_path_to_setup_from_repo_root(location, repo_root)
@classmethod
def get_url_rev_and_auth(cls, url):
# type: (str) -> Tuple[str, Optional[str], AuthInfo]
"""
Prefixes stub URLs like 'user@hostname:user/repo.git' with 'ssh://'.
That's required because although they use SSH they sometimes don't
work with a ssh:// scheme (e.g. GitHub). But we need a scheme for
parsing. Hence we remove it again afterwards and return it as a stub.
"""
# Works around an apparent Git bug
# (see https://article.gmane.org/gmane.comp.version-control.git/146500)
scheme, netloc, path, query, fragment = urlsplit(url)
if scheme.endswith('file'):
initial_slashes = path[:-len(path.lstrip('/'))]
newpath = (
initial_slashes +
urllib.request.url2pathname(path)
.replace('\\', '/').lstrip('/')
)
after_plus = scheme.find('+') + 1
url = scheme[:after_plus] + urlunsplit(
(scheme[after_plus:], netloc, newpath, query, fragment),
)
if '://' not in url:
assert 'file:' not in url
url = url.replace('git+', 'git+ssh://')
url, rev, user_pass = super().get_url_rev_and_auth(url)
url = url.replace('ssh://', '')
else:
url, rev, user_pass = super().get_url_rev_and_auth(url)
return url, rev, user_pass
@classmethod
def update_submodules(cls, location):
# type: (str) -> None
if not os.path.exists(os.path.join(location, '.gitmodules')):
return
cls.run_command(
['submodule', 'update', '--init', '--recursive', '-q'],
cwd=location,
)
@classmethod
def get_repository_root(cls, location):
# type: (str) -> Optional[str]
loc = super().get_repository_root(location)
if loc:
return loc
try:
r = cls.run_command(
['rev-parse', '--show-toplevel'],
cwd=location,
show_stdout=False,
stdout_only=True,
on_returncode='raise',
log_failed_cmd=False,
)
except BadCommand:
logger.debug("could not determine if %s is under git control "
"because git is not available", location)
return None
except InstallationError:
return None
return os.path.normpath(r.rstrip('\r\n'))
@staticmethod
def should_add_vcs_url_prefix(repo_url):
# type: (str) -> bool
"""In either https or ssh form, requirements must be prefixed with git+.
"""
return True
vcs.register(Git)
| 34.40873 | 80 | 0.575712 |
1fa58558677f95b73e44cf60fa304b4a0992f3ca | 1,224 | py | Python | pos_order_cancel/tests/test_default.py | nahualventure/pos-addons | 3c911c28c259967fb74e311ddcc8e6ca032c005d | [
"MIT"
] | null | null | null | pos_order_cancel/tests/test_default.py | nahualventure/pos-addons | 3c911c28c259967fb74e311ddcc8e6ca032c005d | [
"MIT"
] | 1 | 2020-10-26T17:22:38.000Z | 2020-10-26T18:58:28.000Z | pos_order_cancel/tests/test_default.py | nahualventure/pos-addons | 3c911c28c259967fb74e311ddcc8e6ca032c005d | [
"MIT"
] | 1 | 2021-09-03T22:33:42.000Z | 2021-09-03T22:33:42.000Z | # Copyright 2017-2018 Ivan Yelizariev <https://it-projects.info/team/yelizariev>
# Copyright 2017 gaelTorrecillas <https://github.com/gaelTorrecillas>
# Copyright 2017 Gabbasov Dinar <https://it-projects.info/team/GabbasovDinar>
# Copyright 2018-2019 Kolushov Alexandr <https://it-projects.info/team/KolushovAlexandr>
# License MIT (https://opensource.org/licenses/MIT).
from odoo.tests import HttpCase, tagged
@tagged("at_install", "post_install")
class TestUi(HttpCase):
def test_01_pos_is_loaded(self):
# needed because tests are run before the module is marked as
# installed. In js web will only load qweb coming from modules
# that are returned by the backend in module_boot. Without
# this you end up with js, css but no qweb.
env = self.env
env["ir.module.module"].search(
[("name", "=", "pos_order_cancel")], limit=1
).state = "installed"
self.phantom_js(
"/web",
"odoo.__DEBUG__.services['web_tour.tour']" ".run('pos_order_cancel_tour')",
"odoo.__DEBUG__.services['web_tour.tour']"
".tours.pos_order_cancel_tour.ready",
login="admin",
timeout=240,
)
| 40.8 | 88 | 0.660131 |
e236b0d3dd05b90fe3756247da23607134e70515 | 1,493 | py | Python | ros/src/tl_detector/light_classification/tl_classifier_cv.py | KhardanOne/CarND-Capstone | 4a28a8031fcb65955673e1e5af018f0557c3452c | [
"MIT"
] | 1 | 2021-01-28T15:27:04.000Z | 2021-01-28T15:27:04.000Z | ros/src/tl_detector/light_classification/tl_classifier_cv.py | KhardanOne/CarND-Capstone | 4a28a8031fcb65955673e1e5af018f0557c3452c | [
"MIT"
] | 6 | 2021-01-12T20:57:07.000Z | 2021-01-28T16:40:22.000Z | ros/src/tl_detector/light_classification/tl_classifier_cv.py | KhardanOne/CarND-Capstone | 4a28a8031fcb65955673e1e5af018f0557c3452c | [
"MIT"
] | null | null | null | """
Non-neural-network traffic light detection algorithms.
1.) detect_red_lights_basic(): uses simple pixel counting to find vivid red colors that can be of any shape and size
2.) detect_red_lights_hough(): uses Hough method to identify circle shaped red areas
If both red and green are found, then they both take into account their relative sizes to decide which is more relevant.
"""
import cv2
import numpy as np
def detect_red_lights_basic(image):
"""
Detects red lights in the image by counting the red and green pixels.
It only looks for vivid colors.
Returns True if it finds 10+ vivid red pixels.
Returns True if the number of vivid green pixels is greater than
the number vivid green pixels.
Returns False otherwise.
"""
b, g, r = cv2.split(image)
bf = b.astype(np.float) / 255.0
gf = g.astype(np.float) / 255.0
rf = r.astype(np.float) / 255.0
rif = rf * (1.0 - bf) * (1.0 - gf) * 2.0 * 256.0
rif = np.clip(rif, 0.0, 255.0)
ri8 = rif.astype(np.uint8)
ri8th = np.zeros_like(ri8)
rtreshold = 200
ri8th[ri8 > rtreshold] = 255
gif = gf * (1.0 - bf) * (1.0 - rf) * 2.0 * 256.0
gif = np.clip(gif, 0.0, 255.0)
gi8 = gif.astype(np.uint8)
gi8th = np.zeros_like(gi8)
gtreshold = 200
gi8th[gi8 > gtreshold] = 255
red_count = np.count_nonzero(ri8th)
green_count = np.count_nonzero(gi8th)
print("red:", red_count, "green:", green_count)
if red_count > 10 and red_count >= 0.8 * green_count:
return True
else:
return False
| 31.104167 | 120 | 0.686537 |
ca2cc9521818b9abee1f2c021302f4d68fae2881 | 33,402 | py | Python | fig2cde_higgs_mnist_cifar10/model/latent_equilibrium_layers.py | unibe-cns/le_NeurIPS_code | 3744dd4c0c33ef4fcb9b89a77641f3bb248e0a15 | [
"MIT"
] | 1 | 2021-12-15T16:26:17.000Z | 2021-12-15T16:26:17.000Z | fig2cde_higgs_mnist_cifar10/model/latent_equilibrium_layers.py | unibe-cns/le_NeurIPS_code | 3744dd4c0c33ef4fcb9b89a77641f3bb248e0a15 | [
"MIT"
] | null | null | null | fig2cde_higgs_mnist_cifar10/model/latent_equilibrium_layers.py | unibe-cns/le_NeurIPS_code | 3744dd4c0c33ef4fcb9b89a77641f3bb248e0a15 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# PyTorch implementation of the Latent Equilibrium model for different layers.
# Authors: Benjamin Ellenberger (benelot@github)
from datetime import datetime
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from model.layered_torch_utils import set_tensor
from model.network_params import ModelVariant, TargetType
from utils.torch_utils import SimpleDataset
# give this to each dataloader
def dataloader_seed_worker(worker_id):
worker_seed = torch.initial_seed() % 2**32
np.random.seed(worker_seed)
random.seed(worker_seed)
class Conv2d(object):
def __init__(self, num_channels, num_filters, kernel_size, batch_size, input_size, act_function, padding=0, stride=1, inference_learning_rate=0.1):
self.input_size = input_size
self.num_channels = num_channels
self.num_filters = num_filters
self.batch_size = batch_size
self.kernel_size = kernel_size
self.padding = padding
self.stride = stride
self.target_size = (np.floor((self.input_size + (2 * self.padding) - self.kernel_size) / self.stride) + 1).astype(int)
self.tau = 10.0
self.dt = 0.1
self.learning_rate_W = inference_learning_rate
self.learning_rate_biases = inference_learning_rate
self.act_function = act_function.f
self.act_func_deriv = act_function.df
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.train_W = True
self.kernel = torch.empty(self.num_filters, self.num_channels, self.kernel_size, self.kernel_size).normal_(mean=0, std=0.05).to(self.device)
self.biases = torch.empty(self.num_filters).normal_(mean=0, std=0.05).to(self.device)
self.unfold = nn.Unfold(kernel_size=(self.kernel_size, self.kernel_size),
padding=self.padding,
stride=self.stride).to(self.device)
self.fold = nn.Fold(output_size=(self.input_size, self.input_size),
kernel_size=(self.kernel_size, self.kernel_size),
padding=self.padding,
stride=self.stride).to(self.device)
self.voltages = torch.zeros([1, self.num_filters, self.target_size, self.target_size], device=self.device)
self.voltages_deriv = None
self.voltage_lookaheads = torch.zeros([1, self.num_filters, self.target_size], device=self.device)
self.basal_inputs = None
self.errors = torch.zeros([1, self.num_filters, self.target_size, self.target_size], device=self.device)
self.rho = None
self.rho_flat = None
self.rho_deriv = torch.zeros([1, self.num_filters, self.target_size, self.target_size], device=self.device)
def train(self):
"""
Enables training.
:return:
"""
self.train_W = True
def eval(self):
"""
Disables training.
:return:
"""
self.train_W = False
def _adapt_parallel_network_qty(self):
"""Adapt number of voltage sets to batch size (if more sets are required, repeat current sets, if less are required drop current sets).
Returns:
"""
batch_size = self.rho_flat.shape[0]
if len(self.voltages.shape) != 3 or self.voltages.shape[0] != batch_size:
voltage_size = self.voltages.shape[0]
repeats = int(batch_size / voltage_size)
remainder = batch_size % voltage_size
repetition_vector = torch.tensor([repeats], device=self.device).repeat(voltage_size)
repetition_vector[-1] = repetition_vector[-1] + remainder
self.voltages = torch.repeat_interleave(self.voltages, repetition_vector, dim=0).clone()
self.errors = torch.repeat_interleave(self.errors, repetition_vector, dim=0).clone()
self.voltage_lookaheads = torch.repeat_interleave(self.voltage_lookaheads, repetition_vector, dim=0).clone()
def forward(self, rho, rho_deriv):
self.rho_flat = self.unfold(rho.clone())
self.weights_flat = self.kernel.reshape(self.num_filters, -1)
# self.biases_flat = self.kernel_biases.reshape(self.num_filters, -1)
self._adapt_parallel_network_qty()
self.basal_inputs = self.weights_flat @ self.rho_flat
self.basal_inputs = self.basal_inputs.reshape(self.batch_size, self.num_filters, self.target_size, self.target_size) + self.biases.reshape(1, -1, 1, 1)
self.voltages_deriv = 1.0 / self.tau * (self.basal_inputs - self.voltages + self.errors)
self.voltage_lookaheads = self.voltages + self.tau * self.voltages_deriv
self.voltages = self.voltages + self.dt * self.voltages_deriv
self.rho = self.act_function(self.voltage_lookaheads)
self.rho_deriv = self.act_func_deriv(self.voltage_lookaheads)
self.errors = self._calculate_errors(self.voltage_lookaheads, rho_deriv, self.basal_inputs)
return self.rho, self.rho_deriv
def update_weights(self, errors, with_optimizer=False):
previous_layer_errors = self.errors
self.errors = errors
if self.train_W:
dot_weights = self.get_weight_derivatives()
self.kernel.grad = -self.dt * dot_weights # our gradients are inverse to pytorch gradients
dot_biases = self.get_bias_derivatives() # do bias update
self.biases.grad = -self.dt * dot_biases # our gradients are inverse to pytorch gradients
if not with_optimizer: # minus because pytorch gradients are inverse to our gradients
self.kernel -= self.kernel.grad * self.learning_rate_W
self.biases -= self.biases.grad * self.learning_rate_biases
return previous_layer_errors
# ### CALCULATE WEIGHT DERIVATIVES ### #
def get_weight_derivatives(self):
"""
Return weight derivative calculated from current rate and errors.
Args:
Returns:
weight_derivative: e * r^T * η * weight_mask
"""
e = self.errors.reshape(self.batch_size, self.num_filters, -1)
dW = e @ self.rho_flat.permute(0, 2, 1)
dW = dW.mean(dim=0)
dW = dW.reshape((self.num_filters, self.num_channels, self.kernel_size, self.kernel_size))
return dW
# ### CALCULATE BIAS DERIVATIVES ### #
def get_bias_derivatives(self):
"""
Return bias derivative.
Args:
Returns:
bias_derivative: e * η * bias_mask
"""
return self.errors.mean([0, 2, 3])
def _calculate_errors(self, voltage_lookaheads, rho_deriv, basal_inputs):
"""
Calculate:
layerwise error: e = diag(r') W^T (U - Wr)
Args:
voltage_lookaheads:
rho_deriv:
basal_inputs:
Returns:
errors:
"""
# e
e = (voltage_lookaheads - basal_inputs).reshape(self.batch_size, self.num_filters, -1)
err = self.weights_flat.T @ e
err = self.fold(err)
err = rho_deriv * err
return err
def save_layer(self, logdir, i):
np.save(logdir + "/layer_" + str(i) + "_weights.npy", self.kernel.detach().cpu().numpy())
def load_layer(self, logdir, i):
kernel = np.load(logdir + "/layer_" + str(i) + "_weights.npy")
self.kernel = set_tensor(torch.from_numpy(kernel))
def __call__(self, rho, rho_deriv):
return self.forward(rho, rho_deriv)
def parameters(self):
return [self.kernel, self.biases]
class MaxPool2d(object):
# These are not really neurons...
def __init__(self, kernel_size):
self.kernel_size = kernel_size
self.target_size = kernel_size
def train(self):
"""
Enables training.
:return:
"""
pass
def eval(self):
"""
Disables training.
:return:
"""
pass
def forward(self, rho, rho_deriv):
rho_out, self.idxs_rho = F.max_pool2d(rho, self.kernel_size, return_indices=True)
rho_deriv_out = self._maxpool2d_with_indices(rho_deriv, self.idxs_rho)
return rho_out, rho_deriv_out
def _maxpool2d_with_indices(self, t, indices):
flattened_tensor = t.flatten(start_dim=2)
output = flattened_tensor.gather(dim=2, index=indices.flatten(start_dim=2)).view_as(indices)
return output
def update_weights(self, errors, with_optimizer=False):
return F.max_unpool2d(errors, self.idxs_rho, self.kernel_size)
def save_layer(self, logdir, i):
pass
def load_layer(self, logdir, i):
pass
def __call__(self, rho, rho_deriv):
return self.forward(rho, rho_deriv)
def parameters(self):
return []
class AvgPool2d(object):
# These are not really neurons...
def __init__(self, kernel_size):
self.kernel_size = kernel_size
self.target_size = kernel_size
def train(self):
"""
Enables training.
:return:
"""
pass
def eval(self):
"""
Disables training.
:return:
"""
pass
def forward(self, rho, rho_deriv):
return F.avg_pool2d(rho, self.kernel_size), F.avg_pool2d(rho_deriv, self.kernel_size)
def update_weights(self, errors, with_optimizer=False):
return F.interpolate(errors, scale_factor=(1, 1, self.kernel_size,self.kernel_size))
def save_layer(self, logdir, i):
pass
def load_layer(self, logdir, i):
pass
def __call__(self, rho, rho_deriv):
return self.forward(rho, rho_deriv)
def paremeters(self):
return []
class Projection(object):
def __init__(self, input_size, target_size, act_function, dtype=torch.float32):
self.input_size = input_size
self.B, self.C, self.H, self.W = self.input_size
self.target_size = target_size
self.act_function = act_function.f
self.act_func_deriv = act_function.df
self.tau = 10.0
self.dt = 0.1
self.learning_rate_W = 0
self.learning_rate_biases = 0
self.dtype = dtype
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.train_W = True
self.Hid = self.C * self.H * self.W
self.weights = torch.empty((self.Hid, self.target_size)).normal_(mean=0.0, std=0.05).to(self.device)
self.biases = torch.empty(self.target_size).normal_(mean=0.0, std=0.05).to(self.device)
self.voltages = torch.zeros([1, self.target_size], device=self.device)
self.voltages_deriv = None
self.voltage_lookaheads = torch.zeros([1, self.target_size], device=self.device)
self.basal_inputs = None
self.errors = torch.zeros([1, self.target_size], device=self.device)
self.rho = None
self.rho_input = None
self.rho_deriv = torch.zeros([1, self.target_size], dtype=dtype, device=self.device)
def train(self):
"""
Enables training.
:return:
"""
self.train_W = True
def eval(self):
"""
Disables training.
:return:
"""
self.train_W = False
def _adapt_parallel_network_qty(self):
"""Adapt number of voltage sets to batch size (if more sets are required, repeat current sets, if less are required drop current sets).
Returns:
"""
batch_size = self.rho_input.shape[0]
if len(self.voltages.shape) != 2 or self.voltages.shape[0] != batch_size:
voltage_size = self.voltages.shape[0]
repeats = int(batch_size / voltage_size)
remainder = batch_size % voltage_size
repetition_vector = torch.tensor([repeats], device=self.device).repeat(voltage_size)
repetition_vector[-1] = repetition_vector[-1] + remainder
self.voltages = torch.repeat_interleave(self.voltages, repetition_vector, dim=0).clone()
self.errors = torch.repeat_interleave(self.errors, repetition_vector, dim=0).clone()
self.voltage_lookaheads = torch.repeat_interleave(self.voltage_lookaheads, repetition_vector, dim=0).clone()
def forward(self, rho, rho_deriv):
self.rho_input = rho.clone()
rho = rho.reshape((len(rho), -1))
self._adapt_parallel_network_qty()
self.basal_inputs = torch.matmul(rho, self.weights) + self.biases
self.voltages_deriv = 1.0 / self.tau * (self.basal_inputs - self.voltages + self.errors)
self.voltage_lookaheads = self.voltages + self.tau * self.voltages_deriv
self.voltages = self.voltages + self.dt * self.voltages_deriv
self.rho = self.act_function(self.voltage_lookaheads)
self.rho_deriv = self.act_func_deriv(self.voltage_lookaheads)
self.errors = self._calculate_errors(self.voltage_lookaheads, rho_deriv, self.basal_inputs)
return self.rho, self.rho_deriv
def update_weights(self, errors, with_optimizer=False):
previous_layer_errors = self.errors
self.errors = errors
if self.train_W:
dot_weights = self.get_weight_derivatives()
self.weights.grad = -self.dt * dot_weights # our gradients are inverse to pytorch gradients
dot_biases = self.get_bias_derivatives() # do bias update
self.biases.grad = -self.dt * dot_biases # our gradients are inverse to pytorch gradients
if not with_optimizer: # minus because pytorch gradients are inverse to our gradients
self.weights -= self.weights.grad * self.learning_rate_W
self.biases -= self.biases.grad * self.learning_rate_biases
return previous_layer_errors
# ### CALCULATE WEIGHT DERIVATIVES ### #
def get_weight_derivatives(self):
"""
Return weight derivative calculated from current rate and errors.
Args:
Returns:
weight_derivative: e * r^T * η * weight_mask
"""
# If the input is served as a single sample, it is not in batch form, but this here requires it.
rho_input_flat = self.rho_input.reshape((len(self.rho_input), -1))
return (torch.einsum('bi,bj->bij', rho_input_flat, self.errors)).mean(0)
# ### CALCULATE BIAS DERIVATIVES ### #
def get_bias_derivatives(self):
"""
Return bias derivative.
Args:
Returns:
bias_derivative: e * η * bias_mask
"""
return self.errors.mean(0)
def _calculate_errors(self, voltage_lookaheads, rho_deriv, basal_inputs):
"""
Calculate:
layerwise error: e = diag(r') W^T (U - Wr)
Args:
voltage_lookaheads:
rho_deriv:
basal_inputs:
Returns:
errors:
"""
# e
err = torch.matmul(voltage_lookaheads - basal_inputs, self.weights.t())
err = err.reshape((len(err), self.C, self.H, self.W))
err = rho_deriv * err
return err
def save_layer(self, logdir, i):
np.save(logdir + "/layer_" + str(i) + "_weights.npy", self.weights.detach().cpu().numpy())
def load_layer(self, logdir, i):
weights = np.load(logdir + "/layer_" + str(i) + "_weights.npy")
self.weights = set_tensor(torch.from_numpy(weights))
def __call__(self, rho, rho_deriv):
return self.forward(rho, rho_deriv)
def parameters(self):
return [self.weights, self.biases]
class Linear(object):
def __init__(self, input_size, target_size, act_function, dtype=torch.float32, inference_learning_rate=0.1):
self.input_size = input_size
self.target_size = target_size
self.act_function = act_function.f
self.act_func_deriv = act_function.df
self.tau = 10.0
self.dt = 0.1
self.learning_rate_W = inference_learning_rate
self.learning_rate_biases = inference_learning_rate
self.dtype = dtype
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.train_W = True
# initialize weights, voltages, rates, errors
self.weights = torch.empty([self.input_size, self.target_size]).normal_(mean=0.0, std=0.05).to(self.device)
self.biases = torch.empty(self.target_size).normal_(mean=0.0, std=0.05).to(self.device)
self.voltages = torch.zeros([1, self.target_size], device=self.device)
self.voltages_deriv = None
self.voltage_lookaheads = torch.zeros([1, self.target_size], device=self.device)
self.basal_inputs = None
self.errors = torch.zeros([1, self.target_size], device=self.device)
self.rho = None
self.rho_input = None
self.rho_deriv = torch.zeros([1, self.target_size], dtype=dtype, device=self.device)
def train(self):
"""
Enables training.
:return:
"""
self.train_W = True
def eval(self):
"""
Disables training.
:return:
"""
self.train_W = False
def _adapt_parallel_network_qty(self):
"""Adapt number of voltage sets to batch size (if more sets are required, repeat current sets, if less are required drop current sets).
Returns:
"""
batch_size = self.rho_input.shape[0]
if len(self.voltages.shape) != 2 or self.voltages.shape[0] != batch_size:
voltage_size = self.voltages.shape[0]
repeats = int(batch_size / voltage_size)
remainder = batch_size % voltage_size
repetition_vector = torch.tensor([repeats], device=self.device).repeat(voltage_size)
repetition_vector[-1] = repetition_vector[-1] + remainder
self.voltages = torch.repeat_interleave(self.voltages, repetition_vector, dim=0).clone()
self.errors = torch.repeat_interleave(self.errors, repetition_vector, dim=0).clone()
self.voltage_lookaheads = torch.repeat_interleave(self.voltage_lookaheads, repetition_vector, dim=0).clone()
def forward(self, rho, rho_deriv):
self.rho_input = rho.clone()
self._adapt_parallel_network_qty()
self.basal_inputs = torch.matmul(rho, self.weights) + self.biases
self.voltages_deriv = 1.0 / self.tau * (self.basal_inputs - self.voltages + self.errors)
self.voltage_lookaheads = self.voltages + self.tau * self.voltages_deriv
self.voltages = self.voltages + self.dt * self.voltages_deriv
self.rho = self.act_function(self.voltage_lookaheads)
self.rho_deriv = self.act_func_deriv(self.voltage_lookaheads)
self.errors = self._calculate_errors(self.voltage_lookaheads, rho_deriv, self.basal_inputs)
return self.rho, self.rho_deriv
def update_weights(self, errors, with_optimizer=False):
previous_layer_errors = self.errors
self.errors = errors
if self.train_W:
dot_weights = self.get_weight_derivatives()
self.weights.grad = -self.dt * dot_weights # our gradients are inverse to pytorch gradients
dot_biases = self.get_bias_derivatives() # do bias update
self.biases.grad = -self.dt * dot_biases # our gradients are inverse to pytorch gradients
if not with_optimizer: # minus because pytorch gradients are inverse to our gradients
self.weights -= self.weights.grad * self.learning_rate_W
self.biases -= self.biases.grad * self.learning_rate_biases
return previous_layer_errors
# ### CALCULATE WEIGHT DERIVATIVES ### #
def get_weight_derivatives(self):
"""
Return weight derivative calculated from current rate and errors.
Args:
Returns:
weight_derivative: e * r^T * η * weight_mask
"""
# If the input is served as a single sample, it is not in batch form, but this here requires it.
if len(self.rho_input.shape) == 1:
self.rho_input = self.rho_input.unsqueeze(0)
return (torch.einsum('bi,bj->bij', self.rho_input, self.errors)).mean(0)
# ### CALCULATE BIAS DERIVATIVES ### #
def get_bias_derivatives(self):
"""
Return bias derivative.
Args:
Returns:
bias_derivative: e * η * bias_mask
"""
return self.errors.mean(0)
def _calculate_errors(self, voltage_lookaheads, rho_deriv, basal_inputs):
"""
Calculate:
layerwise error: e = diag(r') W^T (U - Wr)
Args:
voltage_lookaheads:
rho_deriv:
basal_inputs:
Returns:
errors:
"""
# e
err = rho_deriv * torch.matmul(voltage_lookaheads - basal_inputs, self.weights.t())
return err
def save_layer(self, logdir, i):
np.save(logdir + "/layer_" + str(i) + "_weights.npy", self.weights.detach().cpu().numpy())
np.save(logdir + "/layer_" + str(i) + "_biases.npy", self.biases.detach().cpu().numpy())
def load_layer(self, logdir, i):
weights = np.load(logdir + "/layer_" + str(i) + "_weights.npy")
self.weights = torch.from_numpy(weights).float().to(self.device)
biases = np.load(logdir + "/layer_" + str(i) + "_biases.npy")
self.biases = torch.from_numpy(biases).float().to(self.device)
def __call__(self, rho, rho_deriv):
return self.forward(rho, rho_deriv)
def parameters(self):
return [self.weights, self.biases]
class LESequential(object):
def __init__(self, layers, inference_learning_rate, learning_rate_factors, loss_fn, loss_fn_deriv, tau, dt, beta, model_variant, target_type, with_optimizer=False):
self.layers = layers
self.learning_rate_W = inference_learning_rate
self.learning_rate_biases = inference_learning_rate
for i, l in enumerate(layers):
l.learning_rate_W = inference_learning_rate * learning_rate_factors[i]
l.learning_rate_biases = inference_learning_rate * learning_rate_factors[i]
l.tau = tau
l.dt = dt
self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
self.loss_fn = loss_fn
self.loss_fn_deriv = loss_fn_deriv
self.layer_qty = len(self.layers)
self.train_W = True
self.target = None
self.tau = tau
self.dt = dt
self.beta = beta
self.training_beta = beta
self._set_random_seed(7) # Set random seed
layer_input_size = list(layers[0].input_size) if isinstance(layers[0].input_size, tuple) else [layers[0].input_size] # to handle projection, conv layer dimensions
layer_input_size = [1] + layer_input_size # batch dimension
self.rho = [torch.zeros(layer_input_size, device=self.device)]
self.rho_deriv = [torch.zeros(layer_input_size, device=self.device)]
self.errors = [torch.zeros(layer_input_size, device=self.device)]
for l in self.layers:
self.rho.append(torch.zeros([1, l.target_size], device=self.device))
self.rho_deriv.append(torch.zeros([1, l.target_size], device=self.device))
self.errors.append(torch.zeros([1, l.target_size], device=self.device))
self.dummy_label = torch.zeros([1, self.layers[-1].target_size], device=self.device)
self.model_variant = model_variant
self.target_type = target_type
self.with_optimizer = with_optimizer
@staticmethod
def _set_random_seed(rnd_seed):
"""
Set random seeds to frameworks.
"""
np.random.seed(rnd_seed)
torch.manual_seed(rnd_seed)
def train(self):
"""
Enables training.
:return:
"""
self.train_W = True
for l in self.layers:
l.train()
def eval(self):
"""
Disables training.
:return:
"""
self.train_W = False
for l in self.layers:
l.eval()
def update(self, inputs, targets):
"""Performs an update step to the following equations defining the ODE of the neural network dynamics:
:math:`(6.0) \\tau \\dot u = - u + W r + e`
:math:`(6.1) e = r' \\odot W^T[u - W r] + \\beta e^{trg}`
:math:`(6.2) e^{trg} = r' \\odot (r^{trg} - r)`
Args:
inputs: current input for layer
targets: current target for layer
Returns:
"""
with torch.no_grad(): # thanks pytorch, we roll our own gradients
if targets is None and self.train_W:
raise Exception("For training, a valid target must be provided")
elif not self.train_W:
targets = self.dummy_label
self.rho[0] = inputs.clone()
self.rho_deriv[0] = torch.zeros_like(inputs) # the first layer needs no rho deriv, because the calculated error can not be applied to any weight
self._adapt_parallel_network_qty(inputs)
target_error = self.beta * self._calculate_e_trg(targets, self.layers[-1].voltage_lookaheads, self.rho[-1], self.layers[-1].rho_deriv)
if not self.train_W:
target_error = target_error * 0.0
if self.model_variant == ModelVariant.VANILLA:
new_rhos = [None for _ in range(self.layer_qty + 1)]
new_rho_derivs = [None for _ in range(self.layer_qty + 1)]
for i, layer in enumerate(self.layers):
new_rhos[i + 1], new_rho_derivs[i + 1] = layer(self.rho[i], self.rho_deriv[i]) # in principle W * r + b
if self.rho[i + 1] is None or new_rhos[i + 1].shape != self.rho[i + 1].shape: # just so we get proper inits
self.rho[i + 1] = torch.zeros_like(new_rhos[i + 1])
self.rho_deriv[i + 1] = torch.zeros_like(new_rho_derivs[i + 1])
self.rho = new_rhos
self.rho_deriv = new_rho_derivs
elif self.model_variant == ModelVariant.FULL_FORWARD_PASS:
for i, layer in enumerate(self.layers):
self.rho[i + 1], self.rho_deriv[i + 1] = layer(self.rho[i], self.rho_deriv[i]) # in principle W * r + b
else:
raise Exception("Unknown model variant: one of vanilla or full_forward_pass")
self._update_errors(target_error)
def _update_errors(self, target_error):
self.errors[-1] = target_error
for i, layer in reversed(list(enumerate(self.layers))):
self.errors[i] = layer.update_weights(self.errors[i + 1], self.with_optimizer)
def get_errors(self):
return self.errors
def _calculate_e_trg(self, target, voltage_lookaheads, rho, rho_deriv):
"""
Calculate e_trg (insert into errors as err[-self.target_size:] = get_e_trg(...).)
Args:
target:
rho:
rho_deriv:
Returns:
e_trg
"""
# calculate target error
# and use rate difference as target
if self.target_type == TargetType.RATE:
e_trg = rho_deriv * (target - rho)
# or use voltage difference as target
else:
e_trg = (target - voltage_lookaheads)
return e_trg
def infer(self, x):
self.eval()
self.update(x, self.dummy_label)
def __call__(self, x):
return self.infer(x)
# KERAS-like INTERFACE
def fit(self, x=None, y=None, data_loader=None, n_updates: int = 100, batch_size=1, epochs=1, verbose=1):
"""
Train network on dataset.
Args:
x: dataset of samples to train on.
y: respective labels to train on.
n_updates: number of weight updates per batch.
batch_size: Number of examples per batch (batch training).
epochs: Amount of epochs to train for.
verbose: Level of verbosity.
"""
if not self.train_W: # if learning is totally off, then turn on learning with default values
print("Learning off, turning on with beta {0}".format(self.beta))
self.train() # turn nudging on to enable training
print("Learning with batch size {0}".format(batch_size))
if data_loader is None and x is not None and y is not None:
dataset = SimpleDataset(x, y)
data_loader = DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=3, worker_init_fn=dataloader_seed_worker, drop_last=True)
batch_qty = int(len(data_loader.dataset)/batch_size)
for epoch_i in range(epochs):
for batch_i, (x, y) in enumerate(data_loader):
x = x.to(self.device)
y = y.to(self.device)
self.fit_batch(x, y, n_updates, batch_i, batch_qty, verbose)
def fit_batch(self, x=None, y=None, n_updates: int=100, batch_iteration=-1, batch_qty=-1, verbose: int=1):
if verbose >= 1:
print("train:: batch ", batch_iteration + 1 if batch_iteration != -1 else "", "/" if batch_qty != -1 else "", batch_qty if batch_qty != -1 else "", " | update ", end=" ")
for update_i in range(n_updates):
if verbose >= 2 and update_i % 10 == 0:
print(update_i, end=" ")
samples, labels = x, y
self.update(samples, labels)
if verbose >= 1:
print('')
def predict(self, x=None, data_loader=None, n_updates: int = 100, batch_size=1, verbose=1):
"""
Predict batch with trained network.
Args:
x: samples to be predicted.
n_updates: number of updates of the network used in tests.
batch_size: Size of batch to be predicted.
verbose: Level of verbosity.
:return:
"""
self.eval() # turn nudging off to disable learning
print("Learning turned off")
if data_loader is None:
n_samples = len(x) # dataset size
dataset = SimpleDataset(x, [np.zeros(self.layers[-1].target_size) for _ in range(n_samples)])
data_loader = DataLoader(dataset, batch_size=batch_size, shuffle=False, num_workers=3, worker_init_fn=dataloader_seed_worker, drop_last=True)
batch_qty = int(len(data_loader.dataset)/batch_size)
predictions = []
for batch_i, (x, _) in enumerate(data_loader):
x = x.to(self.device)
batch_predictions = self.predict_batch(x, batch_iteration=batch_i, batch_qty=batch_qty, n_updates=n_updates, verbose=verbose)
predictions.extend(batch_predictions)
return predictions
def predict_batch(self, x, n_updates: int=100, batch_iteration=-1, batch_qty=-1, verbose: int=1):
if verbose >= 1:
print("predict:: batch ", batch_iteration + 1 if batch_iteration != -1 else "", "/" if batch_qty != -1 else "", batch_qty if batch_qty != -1 else "", " | update ", end=" ")
for update_i in range(n_updates):
if verbose >= 2 and update_i % 10 == 0:
print(update_i, end=" ")
samples = x
self.update(samples, self.dummy_label)
# use either rates or voltages as network output
if self.target_type == TargetType.RATE:
rates = self.rho[-1]
batch_predictions = rates.detach().cpu().numpy()
else:
volts = self.layers[-1].voltage_lookaheads
batch_predictions = volts.detach().cpu().numpy()
if verbose >= 1:
print('')
return batch_predictions
def _adapt_parallel_network_qty(self, x):
"""Adapt number of voltage sets to batch size (if more sets are required, repeat current sets, if less are required drop current sets).
Returns:
"""
batch_size = x.shape[0]
if self.rho[1].shape[0] != batch_size:
rho_size = self.rho[1].shape[0]
repeats = int(batch_size / rho_size)
remainder = batch_size % rho_size
repetition_vector = torch.tensor([repeats], device=self.device).repeat(rho_size)
repetition_vector[-1] = repetition_vector[-1] + remainder
for i in range(1, len(self.rho)):
self.rho[i] = torch.repeat_interleave(self.rho[i], repetition_vector, dim=0).clone()
self.rho_deriv[i] = torch.repeat_interleave(self.rho_deriv[i], repetition_vector, dim=0).clone()
self.errors[i] = torch.repeat_interleave(self.errors[i], repetition_vector, dim=0).clone()
self.dummy_label = torch.repeat_interleave(self.dummy_label, repetition_vector, dim=0).clone()
def save_model(self, logdir):
for i, l in enumerate(self.layers):
l.save_layer(logdir, i)
now = datetime.now()
current_time = str(now.strftime("%H:%M:%S"))
print(f"saved at time: {str(current_time)}")
def load_model(self, old_savedir):
for (i, l) in enumerate(self.layers):
l.load_layer(old_savedir, i)
def parameters(self):
params = []
list(map(params.extend, [l.parameters() for l in self.layers]))
return params
| 37.072142 | 184 | 0.623615 |
90b8867be450ec5e8e39b1bf88f9f24feab20deb | 1,622 | py | Python | test/contrib/test_securetransport.py | venthur/urllib3 | 34e11a22fb9357c5c52705bf508982cc471d96cb | [
"MIT"
] | null | null | null | test/contrib/test_securetransport.py | venthur/urllib3 | 34e11a22fb9357c5c52705bf508982cc471d96cb | [
"MIT"
] | null | null | null | test/contrib/test_securetransport.py | venthur/urllib3 | 34e11a22fb9357c5c52705bf508982cc471d96cb | [
"MIT"
] | null | null | null | import base64
import contextlib
import socket
import ssl
import pytest
try:
from urllib3.contrib.securetransport import WrappedSocket
except ImportError:
pass
def setup_module():
try:
from urllib3.contrib.securetransport import inject_into_urllib3
inject_into_urllib3()
except ImportError as e:
pytest.skip(f"Could not import SecureTransport: {repr(e)}")
def teardown_module():
try:
from urllib3.contrib.securetransport import extract_from_urllib3
extract_from_urllib3()
except ImportError:
pass
from ..test_util import TestUtilSSL # noqa: E402, F401
# SecureTransport does not support TLSv1.3
# https://github.com/urllib3/urllib3/issues/1674
from ..with_dummyserver.test_https import ( # noqa: E402, F401
TestHTTPS,
TestHTTPS_TLSv1,
TestHTTPS_TLSv1_1,
TestHTTPS_TLSv1_2,
)
from ..with_dummyserver.test_socketlevel import ( # noqa: E402, F401
TestClientCerts,
TestSNI,
TestSocketClosing,
TestSSL,
)
def test_no_crash_with_empty_trust_bundle():
with contextlib.closing(socket.socket()) as s:
ws = WrappedSocket(s)
with pytest.raises(ssl.SSLError):
ws._custom_validate(True, b"")
def test_no_crash_with_invalid_trust_bundle():
invalid_cert = base64.b64encode(b"invalid-cert")
cert_bundle = (
b"-----BEGIN CERTIFICATE-----\n" + invalid_cert + b"\n-----END CERTIFICATE-----"
)
with contextlib.closing(socket.socket()) as s:
ws = WrappedSocket(s)
with pytest.raises(ssl.SSLError):
ws._custom_validate(True, cert_bundle)
| 24.208955 | 88 | 0.697287 |
6f69fff85ffd17654e31cefcf736e6aea5f4f1c0 | 2,155 | py | Python | src/robot/libdocpkg/model.py | guykisel/robotframework | 495befccb8eec20a7c38d22bf0abcc8eda72582e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/robot/libdocpkg/model.py | guykisel/robotframework | 495befccb8eec20a7c38d22bf0abcc8eda72582e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/robot/libdocpkg/model.py | guykisel/robotframework | 495befccb8eec20a7c38d22bf0abcc8eda72582e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2008-2015 Nokia Solutions and Networks
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from itertools import chain
from robot.model import Tags
from robot.utils import setter
from .writer import LibdocWriter
from .output import LibdocOutput
class LibraryDoc(object):
def __init__(self, name='', doc='', version='', type='library',
scope='', named_args=True, doc_format=''):
self.name = name
self.doc = doc
self.version = version
self.type = type
self.scope = scope
self.named_args = named_args
self.doc_format = doc_format
self.inits = []
self.keywords = []
@setter
def scope(self, scope):
return {'TESTCASE': 'test case',
'TESTSUITE': 'test suite',
'GLOBAL': 'global'}.get(scope, scope)
@setter
def doc_format(self, format):
return format or 'ROBOT'
@setter
def keywords(self, kws):
return sorted(kws)
@property
def all_tags(self):
return Tags(chain.from_iterable(kw.tags for kw in self.keywords))
def save(self, output=None, format='HTML'):
with LibdocOutput(output, format) as outfile:
LibdocWriter(format).write(self, outfile)
class KeywordDoc(object):
def __init__(self, name='', args=(), doc='', tags=()):
self.name = name
self.args = args
self.doc = doc
self.tags = Tags(tags)
@property
def shortdoc(self):
return self.doc.splitlines()[0] if self.doc else ''
def __cmp__(self, other):
return cmp(self.name.lower(), other.name.lower())
| 28.733333 | 75 | 0.641299 |
ce5660e274f8d93f97ff7a7b2619f412c2f60e88 | 30,303 | py | Python | bfxapi/websockets/bfx_websocket.py | krisuj/bitfinex-api-py | 5f27d5be0f616693e3cac381e7a45838080af1e5 | [
"Apache-2.0"
] | null | null | null | bfxapi/websockets/bfx_websocket.py | krisuj/bitfinex-api-py | 5f27d5be0f616693e3cac381e7a45838080af1e5 | [
"Apache-2.0"
] | null | null | null | bfxapi/websockets/bfx_websocket.py | krisuj/bitfinex-api-py | 5f27d5be0f616693e3cac381e7a45838080af1e5 | [
"Apache-2.0"
] | null | null | null | """
Module used to house the bitfine websocket client
"""
import asyncio
import json
import time
import random
from .generic_websocket import GenericWebsocket, AuthError
from .subscription_manager import SubscriptionManager
from .wallet_manager import WalletManager
from .order_manager import OrderManager
from ..utils.auth import generate_auth_payload
from ..utils.decorators import handle_failure
from ..models import Order, Trade, OrderBook, Ticker, FundingTicker
class Flags:
"""
Enum used to index the available flags used in the authentication
websocket packet
"""
DEC_S = 9
TIME_S = 32
TIMESTAMP = 32768
SEQ_ALL = 65536
CHECKSUM = 131072
strings = {
9: 'DEC_S',
32: 'TIME_S',
32768: 'TIMESTAMP',
65536: 'SEQ_ALL',
131072: 'CHECKSUM'
}
def _parse_candle(cData, symbol, tf):
return {
'mts': cData[0],
'open': cData[1],
'close': cData[2],
'high': cData[3],
'low': cData[4],
'volume': cData[5],
'symbol': symbol,
'tf': tf
}
def _parse_trade_snapshot_item(tData, symbol):
return {
'mts': tData[3],
'price': tData[4],
'amount': tData[5],
'symbol': symbol
}
def _parse_trade(tData, symbol):
return {
'mts': tData[1],
'price': tData[3],
'amount': tData[2],
'symbol': symbol
}
def _parse_deriv_status_update(sData, symbol):
return {
'symbol': symbol,
'status_type': 'deriv',
'mts': sData[0],
# placeholder
'deriv_price': sData[2],
'spot_price': sData[3],
# placeholder
'insurance_fund_balance': sData[5],
# placeholder
# placeholder
'funding_accrued': sData[8],
'funding_step': sData[9],
# placeholder
}
ERRORS = {
10000: 'Unknown event',
10001: 'Generic error',
10008: 'Concurrency error',
10020: 'Request parameters error',
10050: 'Configuration setup failed',
10100: 'Failed authentication',
10111: 'Error in authentication request payload',
10112: 'Error in authentication request signature',
10113: 'Error in authentication request encryption',
10114: 'Error in authentication request nonce',
10200: 'Error in un-authentication request',
10300: 'Subscription Failed (generic)',
10301: 'Already Subscribed',
10305: 'Reached limit of open channels',
10302: 'Unknown channel',
10400: 'Subscription Failed (generic)',
10401: 'Not subscribed',
11000: 'Not ready, try again later',
20000: 'User is invalid!',
20051: 'Websocket server stopping',
20060: 'Websocket server resyncing',
20061: 'Websocket server resync complete'
}
class BfxWebsocket(GenericWebsocket):
"""
More complex websocket that heavily relies on the btfxwss module.
This websocket requires authentication and is capable of handling orders.
https://github.com/Crypto-toolbox/btfxwss
### Emitter events:
- `all` (array|Object): listen for all messages coming through
- `connected:` () called when a connection is made
- `disconnected`: () called when a connection is ended (A reconnect attempt may follow)
- `stopped`: () called when max amount of connection retries is met and the socket is closed
- `authenticated` (): called when the websocket passes authentication
- `notification` (Notification): incoming account notification
- `error` (array): error from the websocket
- `order_closed` (Order, Trade): when an order has been closed
- `order_new` (Order, Trade): when an order has been created but not closed. Note: will not be called if order is executed and filled instantly
- `order_confirmed` (Order, Trade): When an order has been submitted and received
- `wallet_snapshot` (array[Wallet]): Initial wallet balances (Fired once)
- `order_snapshot` (array[Order]): Initial open orders (Fired once)
- `positions_snapshot` (array): Initial open positions (Fired once)
- `positions_new` (array): Initial open positions (Fired once)
- `positions_update` (array): An active position has been updated
- `positions_close` (array): An active position has closed
- `wallet_update` (Wallet): Changes to the balance of wallets
- `status_update` (Object): New platform status info
- `seed_candle` (Object): Initial past candle to prime strategy
- `seed_trade` (Object): Initial past trade to prime strategy
- `funding_offer_snapshot` (array): Opening funding offer balances
- `funding_loan_snapshot` (array): Opening funding loan balances
- `funding_credit_snapshot` (array): Opening funding credit balances
- `balance_update` (array): When the state of a balance is changed
- `new_trade` (array): A new trade on the market has been executed
- `new_ticker` (Ticker|FundingTicker): A new ticker update has been published
- `new_funding_ticker` (FundingTicker): A new funding ticker update has been published
- `new_trading_ticker` (Ticker): A new trading ticker update has been published
- `trade_update` (array): A trade on the market has been updated
- `new_candle` (array): A new candle has been produced
- `margin_info_updates` (array): New margin information has been broadcasted
- `funding_info_updates` (array): New funding information has been broadcasted
- `order_book_snapshot` (array): Initial snapshot of the order book on connection
- `order_book_update` (array): A new order has been placed into the ordebrook
- `subscribed` (Subscription): A new channel has been subscribed to
- `unsubscribed` (Subscription): A channel has been un-subscribed
"""
def __init__(self, API_KEY=None, API_SECRET=None, host='wss://api-pub.bitfinex.com/ws/2',
manageOrderBooks=False, dead_man_switch=False, ws_capacity=25, logLevel='INFO', parse_float=float,
channel_filter=[], *args, **kwargs):
self.API_KEY = API_KEY
self.API_SECRET = API_SECRET
self.manageOrderBooks = manageOrderBooks
self.dead_man_switch = dead_man_switch
self.orderBooks = {}
self.ws_capacity = ws_capacity
self.channel_filter = channel_filter
# How should we store float values? could also be bfxapi.decimal
# which is slower but has higher precision.
self.parse_float = parse_float
super(BfxWebsocket, self).__init__(host, logLevel=logLevel, *args, **kwargs)
self.subscriptionManager = SubscriptionManager(self, logLevel=logLevel)
self.orderManager = OrderManager(self, logLevel=logLevel)
self.wallets = WalletManager()
self._WS_DATA_HANDLERS = {
'tu': self._trade_update_handler,
'wu': self._wallet_update_handler,
'hb': self._heart_beat_handler,
'te': self._trade_executed_handler,
'oc': self._order_closed_handler,
'ou': self._order_update_handler,
'on': self._order_new_handler,
'os': self._order_snapshot_handler,
'ws': self._wallet_snapshot_handler,
'ps': self._position_snapshot_handler,
'pu': self._position_update_handler,
'pn': self._position_new_handler,
'pc': self._position_close_handler,
'fos': self._funding_offer_snapshot_handler,
'fcs': self._funding_credit_snapshot_handler,
'fls': self._funding_load_snapshot_handler,
'bu': self._balance_update_handler,
'n': self._notification_handler,
'miu': self._margin_info_update_handler,
'fiu': self._funding_info_update_handler
}
self._WS_SYSTEM_HANDLERS = {
'info': self._system_info_handler,
'subscribed': self._system_subscribed_handler,
'unsubscribed': self._system_unsubscribe_handler,
'error': self._system_error_handler,
'auth': self._system_auth_handler,
'conf': self._system_conf_handler
}
async def _ws_system_handler(self, socketId, msg):
eType = msg.get('event')
if eType in self._WS_SYSTEM_HANDLERS:
await self._WS_SYSTEM_HANDLERS[eType](socketId, msg)
else:
self.logger.warn(
"Unknown websocket event (socketId={}): '{}' {}".format(socketId, eType, msg))
async def _ws_data_handler(self, socketId, data, raw_message_str):
dataEvent = data[1]
chan_id = data[0]
if type(dataEvent) is str and dataEvent in self._WS_DATA_HANDLERS:
return await self._WS_DATA_HANDLERS[dataEvent](data)
elif self.subscriptionManager.is_subscribed(chan_id):
subscription = self.subscriptionManager.get(chan_id)
# candles do not have an event
if subscription.channel_name == 'candles':
await self._candle_handler(data)
elif subscription.channel_name == 'book':
await self._order_book_handler(data, raw_message_str)
elif subscription.channel_name == 'trades':
await self._trade_handler(data)
elif subscription.channel_name == 'status':
await self._status_handler(data)
elif subscription.channel_name == 'ticker':
await self._ticker_handler(data)
else:
self.logger.warn("Unknown channel type '{}'".format(subscription.channel_name))
else:
self.logger.warn(
"Unknown data event: '{}' {}".format(dataEvent, data))
async def _system_info_handler(self, socketId, data):
self.logger.info(data)
if data.get('serverId', None):
# connection has been established
await self.on_open(socketId)
async def _system_conf_handler(self, socketId, data):
flag = data.get('flags')
status = data.get('status')
if flag not in Flags.strings:
self.logger.warn("Unknown config value set {}".format(flag))
return
flagString = Flags.strings[flag]
if status == "OK":
self.logger.info("Enabled config flag {}".format(flagString))
else:
self.logger.error(
"Unable to enable config flag {}".format(flagString))
async def _system_subscribed_handler(self, socket_id, data):
await self.subscriptionManager.confirm_subscription(socket_id, data)
async def _system_unsubscribe_handler(self, socket_id, data):
await self.subscriptionManager.confirm_unsubscribe(socket_id, data)
async def _system_error_handler(self, socketId, data):
err_string = ERRORS[data.get('code', 10000)]
err_string = "(socketId={}) {} - {}".format(
socketId,
ERRORS[data.get('code', 10000)],
data.get("msg", ""))
self._emit(Exception(err_string))
async def _system_auth_handler(self, socketId, data):
if data.get('status') == 'FAILED':
raise AuthError(ERRORS[data.get('code')])
else:
self._emit('authenticated', data)
self.logger.info("Authentication successful.")
async def _trade_update_handler(self, data):
tData = data[2]
# [209, 'tu', [312372989, 1542303108930, 0.35, 5688.61834032]]
if self.subscriptionManager.is_subscribed(data[0]):
symbol = self.subscriptionManager.get(data[0]).symbol
tradeObj = _parse_trade(tData, symbol)
self._emit('trade_update', tradeObj)
async def _trade_executed_handler(self, data):
tData = data[2]
# [209, 'te', [312372989, 1542303108930, 0.35, 5688.61834032]]
if self.subscriptionManager.is_subscribed(data[0]):
symbol = self.subscriptionManager.get(data[0]).symbol
tradeObj = _parse_trade(tData, symbol)
self._emit('new_trade', tradeObj)
async def _wallet_update_handler(self, data):
# [0,"wu",["exchange","USD",89134.66933283,0]]
uw = self.wallets._update_from_event(data)
self._emit('wallet_update', uw)
self.logger.info("Wallet update: {}".format(uw))
async def _heart_beat_handler(self, data):
self.logger.debug("Heartbeat - {}".format(self.host))
async def _margin_info_update_handler(self, data):
self._emit('margin_info_update', data)
self.logger.info("Margin info update: {}".format(data))
async def _funding_info_update_handler(self, data):
self._emit('funding_info_update', data)
self.logger.info("Funding info update: {}".format(data))
async def _notification_handler(self, data):
nInfo = data[2]
self._emit('notification', nInfo)
notificationType = nInfo[6]
notificationText = nInfo[7]
if notificationType == 'ERROR':
# self._emit('error', notificationText)
await self._order_error_handler(data)
self.logger.error(
"Notification ERROR: {}".format(notificationText))
else:
self.logger.info(
"Notification SUCCESS: {}".format(notificationText))
async def _balance_update_handler(self, data):
self.logger.info('Balance update: {}'.format(data[2]))
self._emit('balance_update', data[2])
async def _order_closed_handler(self, data):
await self.orderManager.confirm_order_closed(data)
async def _order_error_handler(self, data):
await self.orderManager.confirm_order_error(data)
async def _order_update_handler(self, data):
await self.orderManager.confirm_order_update(data)
async def _order_new_handler(self, data):
await self.orderManager.confirm_order_new(data)
async def _order_snapshot_handler(self, data):
await self.orderManager.build_from_order_snapshot(data)
async def _wallet_snapshot_handler(self, data):
wallets = self.wallets._update_from_snapshot(data)
self._emit('wallet_snapshot', wallets)
async def _position_snapshot_handler(self, data):
self._emit('position_snapshot', data)
self.logger.info("Position snapshot: {}".format(data))
async def _position_update_handler(self, data):
self._emit('position_update', data)
self.logger.info("Position update: {}".format(data))
async def _position_close_handler(self, data):
self._emit('position_close', data)
self.logger.info("Position close: {}".format(data))
async def _position_new_handler(self, data):
self._emit('position_new', data)
self.logger.info("Position new: {}".format(data))
async def _funding_offer_snapshot_handler(self, data):
self._emit('funding_offer_snapshot', data)
self.logger.info("Funding offer snapshot: {}".format(data))
async def _funding_load_snapshot_handler(self, data):
self._emit('funding_loan_snapshot', data[2])
self.logger.info("Funding loan snapshot: {}".format(data))
async def _funding_credit_snapshot_handler(self, data):
self._emit('funding_credit_snapshot', data[2])
self.logger.info("Funding credit snapshot: {}".format(data))
async def _status_handler(self, data):
sub = self.subscriptionManager.get(data[0])
symbol = sub.symbol
status_type = sub.key.split(":")[0]
rstatus = data[1]
if status_type == "deriv":
status = _parse_deriv_status_update(rstatus, symbol)
if status:
self._emit('status_update', status)
else:
self.logger.warn('Unknown status data type: {}'.format(data))
async def _ticker_handler(self, data):
symbol = self.subscriptionManager.get(data[0]).symbol
if type(data[1]) is list and len(symbol) > 0:
raw_ticker = data[1]
t = None
if symbol[0] == 't':
t = Ticker.from_raw_ticker(raw_ticker, symbol)
self._emit('new_trading_ticker', t)
elif symbol[0] == 'f':
t = FundingTicker.from_raw_ticker(raw_ticker, symbol)
self._emit('new_funding_ticker', t)
else:
self.logger.warn('Unknown ticker type: {}'.format(raw_ticker))
self._emit('new_ticker', t)
async def _trade_handler(self, data):
symbol = self.subscriptionManager.get(data[0]).symbol
if type(data[1]) is list:
data = data[1]
# Process the batch of seed trades on
# connection
data.reverse()
for t in data:
trade = {
'mts': t[1],
'amount': t[2],
'price': t[3],
'symbol': symbol
}
self._emit('seed_trade', trade)
async def _candle_handler(self, data):
subscription = self.subscriptionManager.get(data[0])
# if candle data is empty
if data[1] == []:
return
if type(data[1][0]) is list:
# Process the batch of seed candles on
# websocket subscription
candlesSnapshot = data[1]
candlesSnapshot.reverse()
for c in candlesSnapshot:
candle = _parse_candle(
c, subscription.symbol, subscription.timeframe)
self._emit('seed_candle', candle)
else:
candle = _parse_candle(
data[1], subscription.symbol, subscription.timeframe)
self._emit('new_candle', candle)
async def _order_book_handler(self, data, orig_raw_message):
obInfo = data[1]
chan_id = data[0]
subscription = self.subscriptionManager.get(data[0])
symbol = subscription.symbol
if data[1] == "cs":
dChecksum = data[2] & 0xffffffff # force to signed int
checksum = self.orderBooks[symbol].checksum()
# force checksums to signed integers
isValid = (dChecksum) == (checksum)
if isValid:
msg = "Checksum orderbook validation for '{}' successful."
self.logger.debug(msg.format(symbol))
else:
msg = "Checksum orderbook invalid for '{}'. Resetting subscription."
self.logger.warn(msg.format(symbol))
# re-build orderbook with snapshot
await self.subscriptionManager.resubscribe(chan_id)
return
if obInfo == []:
self.orderBooks[symbol] = OrderBook()
return
isSnapshot = type(obInfo[0]) is list
if isSnapshot:
self.orderBooks[symbol] = OrderBook()
self.orderBooks[symbol].update_from_snapshot(obInfo, orig_raw_message)
self._emit('order_book_snapshot', {
'symbol': symbol, 'data': obInfo})
else:
self.orderBooks[symbol].update_with(obInfo, orig_raw_message)
self._emit('order_book_update', {'symbol': symbol, 'data': obInfo})
async def on_message(self, socketId, message):
self.logger.debug(message)
# convert float values to decimal
msg = json.loads(message, parse_float=self.parse_float)
self._emit('all', msg)
if type(msg) is dict:
# System messages are received as json
await self._ws_system_handler(socketId, msg)
elif type(msg) is list:
# All data messages are received as a list
await self._ws_data_handler(socketId, msg, message)
else:
self.logger.warn('Unknown (socketId={}) websocket response: {}'.format(socketId, msg))
@handle_failure
async def _ws_authenticate_socket(self, socketId):
socket = self.sockets[socketId]
socket.set_authenticated()
jdata = generate_auth_payload(self.API_KEY, self.API_SECRET)
if self.dead_man_switch:
jdata['dms'] = 4
if len(self.channel_filter) > 0:
jdata['filter'] = self.channel_filter
await socket.send(json.dumps(jdata))
async def on_open(self, socket_id):
self.logger.info("Websocket opened.")
if len(self.sockets) == 1:
## only call on first connection
self._emit('connected')
# Orders are simulated in backtest mode
if self.API_KEY and self.API_SECRET and self.get_authenticated_socket() == None:
await self._ws_authenticate_socket(socket_id)
# enable order book checksums
if self.manageOrderBooks:
await self.enable_flag(Flags.CHECKSUM)
# set any existing subscriptions to not subscribed
self.subscriptionManager.set_unsubscribed_by_socket(socket_id)
# re-subscribe to existing channels
await self.subscriptionManager.resubscribe_by_socket(socket_id)
@handle_failure
async def _send_auth_command(self, channel_name, data):
payload = [0, channel_name, None, data]
socket = self.get_authenticated_socket()
if socket == None:
raise ValueError("authenticated socket connection not found")
if not socket.isConnected:
raise ValueError("authenticated socket not connected")
await socket.send(json.dumps(payload))
def get_orderbook(self, symbol):
return self.orderBooks.get(symbol, None)
def get_socket_capacity(self, socket_id):
return self.ws_capacity - self.subscriptionManager.get_sub_count_by_socket(socket_id)
def get_most_available_socket(self):
bestId = None
bestCount = 0
for socketId in self.sockets:
cap = self.get_socket_capacity(socketId)
if bestId == None or cap > bestCount:
bestId = socketId
bestCount = cap
return self.sockets[socketId]
def get_total_available_capcity(self):
total = 0
for socketId in self.sockets:
total += self.get_socket_capacity(socketId)
return total
@handle_failure
async def enable_flag(self, flag):
"""
Enable flag on websocket connection
# Attributes
flag (int): int flag value
"""
payload = {
"event": 'conf',
"flags": flag
}
# enable on all sockets
for socket in self.sockets.values():
if socket.isConnected:
await socket.send(json.dumps(payload))
async def subscribe_order_book(self, symbol):
"""
Subscribe to an orderbook data feed
# Attributes
@param symbol: the trading symbol i.e 'tBTCUSD'
"""
return await self.subscribe('book', symbol)
async def subscribe_candles(self, symbol, timeframe):
"""
Subscribe to a candle data feed
# Attributes
@param symbol: the trading symbol i.e 'tBTCUSD'
@param timeframe: resolution of the candle i.e 15m, 1h
"""
return await self.subscribe('candles', symbol, timeframe=timeframe)
async def subscribe_trades(self, symbol):
"""
Subscribe to a trades data feed
# Attributes
@param symbol: the trading symbol i.e 'tBTCUSD'
"""
return await self.subscribe('trades', symbol)
async def subscribe_ticker(self, symbol):
"""
Subscribe to a ticker data feed
# Attributes
@param symbol: the trading symbol i.e 'tBTCUSD'
"""
return await self.subscribe('ticker', symbol)
async def subscribe_derivative_status(self, symbol):
"""
Subscribe to a status data feed
# Attributes
@param symbol: the trading symbol i.e 'tBTCUSD'
"""
key = 'deriv:{}'.format(symbol)
return await self.subscribe('status', symbol, key=key)
async def subscribe(self, *args, **kwargs):
"""
Subscribe to a new channel
# Attributes
@param channel_name: the name of the channel i.e 'books', 'candles'
@param symbol: the trading symbol i.e 'tBTCUSD'
@param timeframe: sepecifies the data timeframe between each candle (only required
for the candles channel)
"""
return await self.subscriptionManager.subscribe(*args, **kwargs)
async def unsubscribe(self, *args, **kwargs):
"""
Unsubscribe from the channel with the given chanId
# Attributes
@param onComplete: function called when the bitfinex websocket responds with
a signal that confirms the subscription has been unsubscribed to
"""
return await self.subscriptionManager.unsubscribe(*args, **kwargs)
async def resubscribe(self, *args, **kwargs):
"""
Unsubscribes and then subscribes to the channel with the given Id
This function is mostly used to force the channel to produce a fresh snapshot.
"""
return await self.subscriptionManager.resubscribe(*args, **kwargs)
async def unsubscribe_all(self, *args, **kwargs):
"""
Unsubscribe from all channels.
"""
return await self.subscriptionManager.unsubscribe_all(*args, **kwargs)
async def resubscribe_all(self, *args, **kwargs):
"""
Unsubscribe and then subscribe to all channels
"""
return await self.subscriptionManager.resubscribe_all(*args, **kwargs)
async def submit_order(self, *args, **kwargs):
"""
Submit a new order
# Attributes
@param gid: assign the order to a group identifier
@param symbol: the name of the symbol i.e 'tBTCUSD
@param price: the price you want to buy/sell at (must be positive)
@param amount: order size: how much you want to buy/sell,
a negative amount indicates a sell order and positive a buy order
@param market_type Order.Type: please see Order.Type enum
amount decimal string Positive for buy, Negative for sell
@param hidden: if True, order should be hidden from orderbooks
@param price_trailing: decimal trailing price
@param price_aux_limit: decimal auxiliary Limit price (only for STOP LIMIT)
@param oco_stop_price: set the oco stop price (requires oco = True)
@param close: if True, close position if position present
@param reduce_only: if True, ensures that the executed order does not flip the opened position
@param post_only: if True, ensures the limit order will be added to the order book and not
match with a pre-existing order
@param oco: cancels other order option allows you to place a pair of orders stipulating
that if one order is executed fully or partially, then the other is automatically canceled
@param time_in_force: datetime for automatic order cancellation ie. 2020-01-01 10:45:23
@param leverage: the amount of leverage to apply to the order as an integer
@param onConfirm: function called when the bitfinex websocket receives signal that the order
was confirmed
@param onClose: function called when the bitfinex websocket receives signal that the order
was closed due to being filled or cancelled
"""
return await self.orderManager.submit_order(*args, **kwargs)
async def update_order(self, *args, **kwargs):
"""
Update an existing order
# Attributes
@param orderId: the id of the order that you want to update
@param price: the price you want to buy/sell at (must be positive)
@param amount: order size: how much you want to buy/sell,
a negative amount indicates a sell order and positive a buy order
@param delta: change of amount
@param price_trailing: decimal trailing price
@param price_aux_limit: decimal auxiliary Limit price (only for STOP LIMIT)
@param hidden: if True, order should be hidden from orderbooks
@param close: if True, close position if position present
@param reduce_only: if True, ensures that the executed order does not flip the opened position
@param post_only: if True, ensures the limit order will be added to the order book and not
match with a pre-existing order
@param time_in_force: datetime for automatic order cancellation ie. 2020-01-01 10:45:23
@param leverage: the amount of leverage to apply to the order as an integer
@param onConfirm: function called when the bitfinex websocket receives signal that the order
was confirmed
@param onClose: function called when the bitfinex websocket receives signal that the order
was closed due to being filled or cancelled
"""
return await self.orderManager.update_order(*args, **kwargs)
async def cancel_order(self, *args, **kwargs):
"""
Cancel an existing open order
# Attributes
@param orderId: the id of the order that you want to update
@param onConfirm: function called when the bitfinex websocket receives signal that the
order
was confirmed
@param onClose: function called when the bitfinex websocket receives signal that the order
was closed due to being filled or cancelled
"""
return await self.orderManager.cancel_order(*args, **kwargs)
async def cancel_order_group(self, *args, **kwargs):
"""
Cancel a set of orders using a single group id.
"""
return await self.orderManager.cancel_order_group(*args, **kwargs)
async def cancel_all_orders(self, *args, **kwargs):
"""
Cancel all existing open orders
This function closes all open orders.
"""
return await self.orderManager.cancel_all_orders(*args, **kwargs)
async def cancel_order_multi(self, *args, **kwargs):
"""
Cancel existing open orders as a batch
# Attributes
@param ids: an array of order ids
@param gids: an array of group ids
"""
return await self.orderManager.cancel_order_multi(*args, **kwargs)
| 40.675168 | 147 | 0.636736 |
1ae1bafad2c4316d29529a8ecfc3bf8a3c17288b | 2,841 | py | Python | cuenca/http/client.py | paolodamico/cuenca-python | 0a29aa1a4acfd5325d375ca0afd69ea526a34699 | [
"MIT"
] | null | null | null | cuenca/http/client.py | paolodamico/cuenca-python | 0a29aa1a4acfd5325d375ca0afd69ea526a34699 | [
"MIT"
] | null | null | null | cuenca/http/client.py | paolodamico/cuenca-python | 0a29aa1a4acfd5325d375ca0afd69ea526a34699 | [
"MIT"
] | null | null | null | import os
from typing import Optional, Tuple
from urllib.parse import urljoin
import requests
from cuenca_validations.typing import (
ClientRequestParams,
DictStrAny,
OptionalDict,
)
from requests import Response
from ..exc import CuencaResponseException
from ..version import API_VERSION, CLIENT_VERSION
API_URL = 'https://api.cuenca.com'
SANDBOX_URL = 'https://sandbox.cuenca.com'
class Session:
base_url: str
auth: Tuple[str, str]
webhook_secret: Optional[str]
session: requests.Session
def __init__(self):
self.session = requests.Session()
self.session.headers.update(
{
'X-Cuenca-Api-Version': API_VERSION,
'User-Agent': f'cuenca-python/{CLIENT_VERSION}',
}
)
self.base_url = API_URL
api_key = os.getenv('CUENCA_API_KEY', '')
api_secret = os.getenv('CUENCA_API_SECRET', '')
self.webhook_secret = os.getenv('CUENCA_WEBHOOK_SECRET')
self.auth = (api_key, api_secret)
def configure(
self,
api_key: Optional[str] = None,
api_secret: Optional[str] = None,
webhook_secret: Optional[str] = None,
sandbox: Optional[bool] = None,
):
"""
This allows us to instantiate the http client when importing the
client library and configure it later. It's also useful when rolling
the api key
"""
self.auth = (api_key or self.auth[0], api_secret or self.auth[1])
self.webhook_secret = webhook_secret or self.webhook_secret
if sandbox is False:
self.base_url = API_URL
elif sandbox is True:
self.base_url = SANDBOX_URL
def get(
self, endpoint: str, params: ClientRequestParams = None,
) -> DictStrAny:
return self.request('get', endpoint, params=params)
def post(self, endpoint: str, data: DictStrAny) -> DictStrAny:
return self.request('post', endpoint, data=data)
def delete(self, endpoint: str, data: OptionalDict = None) -> DictStrAny:
return self.request('delete', endpoint, data=data)
def request(
self,
method: str,
endpoint: str,
params: ClientRequestParams = None,
data: OptionalDict = None,
**kwargs,
) -> DictStrAny:
resp = self.session.request(
method=method,
url=self.base_url + urljoin('/', endpoint),
auth=self.auth,
json=data,
params=params,
**kwargs,
)
self._check_response(resp)
return resp.json()
@staticmethod
def _check_response(response: Response):
if response.ok:
return
raise CuencaResponseException(
json=response.json(), status_code=response.status_code,
)
| 29.28866 | 77 | 0.613516 |
cda1169c5fce84867df084ec3a99ff285f14f0bf | 550 | py | Python | src/jt/rubicon/java/_typehandler/__init__.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | 2 | 2018-11-29T06:19:05.000Z | 2018-12-09T09:47:55.000Z | src/jt/rubicon/java/_typehandler/__init__.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | null | null | null | src/jt/rubicon/java/_typehandler/__init__.py | karpierz/jtypes.rubicon | 8f8196e47de93183eb9728fec0d08725fc368ee0 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2016-2019, Adam Karpierz
# Licensed under the BSD license
# http://opensource.org/licenses/BSD-3-Clause
from .void_handler import * # noqa
from .boolean_handler import * # noqa
from .char_handler import * # noqa
from .byte_handler import * # noqa
from .short_handler import * # noqa
from .int_handler import * # noqa
from .long_handler import * # noqa
from .float_handler import * # noqa
from .double_handler import * # noqa
from .string_handler import * # noqa
from .object_handler import * # noqa
| 34.375 | 45 | 0.703636 |
bcbe91747c56b718f5c59008e62407a1dbc96c78 | 1,476 | py | Python | cadmus/retrieval/links_from_a_tags.py | biomedicalinformaticsgroup/cadmus | 004f8470c22c4df3699738be142b7079088b0c00 | [
"MIT"
] | 5 | 2021-05-04T19:57:45.000Z | 2022-03-22T16:38:18.000Z | cadmus/retrieval/links_from_a_tags.py | biomedicalinformaticsgroup/cadmus | 004f8470c22c4df3699738be142b7079088b0c00 | [
"MIT"
] | null | null | null | cadmus/retrieval/links_from_a_tags.py | biomedicalinformaticsgroup/cadmus | 004f8470c22c4df3699738be142b7079088b0c00 | [
"MIT"
] | 1 | 2021-07-29T11:22:59.000Z | 2021-07-29T11:22:59.000Z | from urllib.parse import urlparse
import re
# generic link parsing from the body of HTML
def links_from_a_tags(soup, base_url):
link_list = []
# build a compiled regex
regex = re.compile(r"/content/.*/pdf/|/content/.*/doi/|full-text|full.pdf|advance-article|articles-pdf")
# looks for all the 'a' tags
for link_tag in soup.find_all('a'):
# get the actual link from the 'a' tag
current_link = link_tag.get('href')
# if there is a link
if current_link:
# look for any of the regex patterns within the link
if regex.search(current_link):
# if there is a match make sure the link is complete before we add it to the return list
if current_link.startswith('/'):
if base_url is not None:
# we can derive the root of the link from the request URL
parse_object = urlparse(base_url)
# we then build the full URL from all the parts (current link at the end)
current_link = f'{parse_object.scheme}://{parse_object.netloc}{current_link}'
# add to the return list
link_list.append(current_link)
# if the link starts with http then its already a full link
elif current_link.startswith('http'):
link_list.append(current_link)
return link_list | 46.125 | 108 | 0.584011 |
fe3bf75c281821db5e3bd3dac6f13cba0e42ecab | 15,914 | py | Python | examples/nested_decision_execution/workflow.py | Ian-Goodall-Halliwell/qlib | 38c411e905d9d4a54c5cdc84d63aea1f2d727d3a | [
"MIT"
] | null | null | null | examples/nested_decision_execution/workflow.py | Ian-Goodall-Halliwell/qlib | 38c411e905d9d4a54c5cdc84d63aea1f2d727d3a | [
"MIT"
] | null | null | null | examples/nested_decision_execution/workflow.py | Ian-Goodall-Halliwell/qlib | 38c411e905d9d4a54c5cdc84d63aea1f2d727d3a | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
"""
The expect result of `backtest` is following in current version
'The following are analysis results of benchmark return(1day).'
risk
mean 0.000651
std 0.012472
annualized_return 0.154967
information_ratio 0.805422
max_drawdown -0.160445
'The following are analysis results of the excess return without cost(1day).'
risk
mean 0.001258
std 0.007575
annualized_return 0.299303
information_ratio 2.561219
max_drawdown -0.068386
'The following are analysis results of the excess return with cost(1day).'
risk
mean 0.001110
std 0.007575
annualized_return 0.264280
information_ratio 2.261392
max_drawdown -0.071842
[1706497:MainThread](2021-12-07 14:08:30,263) INFO - qlib.workflow - [record_temp.py:441] - Portfolio analysis record 'port_analysis_30minute.
pkl' has been saved as the artifact of the Experiment 2
'The following are analysis results of benchmark return(30minute).'
risk
mean 0.000078
std 0.003646
annualized_return 0.148787
information_ratio 0.935252
max_drawdown -0.142830
('The following are analysis results of the excess return without '
'cost(30minute).')
risk
mean 0.000174
std 0.003343
annualized_return 0.331867
information_ratio 2.275019
max_drawdown -0.074752
'The following are analysis results of the excess return with cost(30minute).'
risk
mean 0.000155
std 0.003343
annualized_return 0.294536
information_ratio 2.018860
max_drawdown -0.075579
[1706497:MainThread](2021-12-07 14:08:30,277) INFO - qlib.workflow - [record_temp.py:441] - Portfolio analysis record 'port_analysis_5minute.p
kl' has been saved as the artifact of the Experiment 2
'The following are analysis results of benchmark return(5minute).'
risk
mean 0.000015
std 0.001460
annualized_return 0.172170
information_ratio 1.103439
max_drawdown -0.144807
'The following are analysis results of the excess return without cost(5minute).'
risk
mean 0.000028
std 0.001412
annualized_return 0.319771
information_ratio 2.119563
max_drawdown -0.077426
'The following are analysis results of the excess return with cost(5minute).'
risk
mean 0.000025
std 0.001412
annualized_return 0.281536
information_ratio 1.866091
max_drawdown -0.078194
[1706497:MainThread](2021-12-07 14:08:30,287) INFO - qlib.workflow - [record_temp.py:466] - Indicator analysis record 'indicator_analysis_1day
.pkl' has been saved as the artifact of the Experiment 2
'The following are analysis results of indicators(1day).'
value
ffr 0.945821
pa 0.000324
pos 0.542882
[1706497:MainThread](2021-12-07 14:08:30,293) INFO - qlib.workflow - [record_temp.py:466] - Indicator analysis record 'indicator_analysis_30mi
nute.pkl' has been saved as the artifact of the Experiment 2
'The following are analysis results of indicators(30minute).'
value
ffr 0.982910
pa 0.000037
pos 0.500806
[1706497:MainThread](2021-12-07 14:08:30,302) INFO - qlib.workflow - [record_temp.py:466] - Indicator analysis record 'indicator_analysis_5min
ute.pkl' has been saved as the artifact of the Experiment 2
'The following are analysis results of indicators(5minute).'
value
ffr 0.991017
pa 0.000000
pos 0.000000
[1706497:MainThread](2021-12-07 14:08:30,627) INFO - qlib.timer - [log.py:113] - Time cost: 0.014s | waiting `async_log` Done
"""
from copy import deepcopy
import qlib
import fire
import pandas as pd
from qlib.config import REG_CN, HIGH_FREQ_CONFIG
from qlib.data import D
from qlib.utils import exists_qlib_data, init_instance_by_config, flatten_dict
from qlib.workflow import R
from qlib.workflow.record_temp import SignalRecord, PortAnaRecord
from qlib.tests.data import GetData
from qlib.backtest import collect_data
class NestedDecisionExecutionWorkflow:
market = "all"
benchmark = "BTCBUSD"
data_handler_config = {
"start_time": "2017-08-17 04:00",
"end_time": "2022-01-04 23:59",
"fit_start_time": "2017-08-17 04:00",
"fit_end_time": "2020-12-21 00:00",
"instruments": market,
}
task = {
"model": {
"class": "LGBModel",
"module_path": "qlib.contrib.model.gbdt",
"kwargs": {
"loss": "mse",
"colsample_bytree": 0.8879,
"learning_rate": 0.0421,
"subsample": 0.8789,
"lambda_l1": 205.6999,
"lambda_l2": 580.9768,
"max_depth": 8,
"num_leaves": 210,
"num_threads": 20,
},
},
"dataset": {
"class": "DatasetH",
"module_path": "qlib.data.dataset",
"kwargs": {
"handler": {
"class": "Alpha158",
"module_path": "qlib.contrib.data.handler",
"kwargs": data_handler_config,
},
"segments": {
"train": ("2017-08-17 04:00", "2020-12-21 00:00"),
"valid": ("2020-12-21 00:00", "2021-06-21 00:00"),
"test": ("2021-06-21 00:00", "2022-01-04 23:59"),
},
},
},
}
port_analysis_config = {
"executor": {
"class": "NestedExecutor",
"module_path": "qlib.backtest.executor",
"kwargs": {
"time_per_step": "day",
"inner_executor": {
"class": "NestedExecutor",
"module_path": "qlib.backtest.executor",
"kwargs": {
"time_per_step": "30min",
"inner_executor": {
"class": "SimulatorExecutor",
"module_path": "qlib.backtest.executor",
"kwargs": {
"time_per_step": "5min",
"generate_portfolio_metrics": True,
"verbose": True,
"indicator_config": {
"show_indicator": True,
},
},
},
"inner_strategy": {
"class": "TWAPStrategy",
"module_path": "qlib.contrib.strategy.rule_strategy",
},
"generate_portfolio_metrics": True,
"indicator_config": {
"show_indicator": True,
},
},
},
"inner_strategy": {
"class": "SBBStrategyEMA",
"module_path": "qlib.contrib.strategy.rule_strategy",
"kwargs": {
"instruments": market,
"freq": "1min",
},
},
"track_data": True,
"generate_portfolio_metrics": True,
"indicator_config": {
"show_indicator": True,
},
},
},
"backtest": {
"start_time": "2017-08-17 04:00",
"end_time": "2022-01-04 23:59",
"account": 1000000,
"exchange_kwargs": {
"freq": "1min",
"limit_threshold": None,
"deal_price": "close",
"open_cost": 0.0001,
"close_cost": 0.0001,
'trade_unit': None,
'min_cost': 5,
},
},
}
def _init_qlib(self):
"""initialize qlib"""
provider_uri_day = "F:/q-bin/data-download/day-processed" # target_dir
#GetData().qlib_data(target_dir=provider_uri_day, version="v2", exists_skip=True)
#provider_uri_1min = HIGH_FREQ_CONFIG.get("provider_uri")
provider_uri_1min = "F:/q-bin/data-download/1min-processed"
print(provider_uri_1min)
#provider_uri_1min = "C:/Users/gooda/Documents/GitHub/qlib/minData"
# GetData().qlib_data(
# target_dir=provider_uri_1min, interval="1min", region='cr', version="v2", exists_skip=True
# )
provider_uri_map = {"1min": provider_uri_1min, "day": provider_uri_day}
qlib.init(provider_uri=provider_uri_map, dataset_cache=None, expression_cache=None)
def _train_model(self, model, dataset):
with R.start(experiment_name="train"):
R.log_params(**flatten_dict(self.task))
model.fit(dataset)
R.save_objects(**{"params.pkl": model})
# prediction
recorder = R.get_recorder()
sr = SignalRecord(model, dataset, recorder)
sr.generate()
def backtest(self):
self._init_qlib()
model = init_instance_by_config(self.task["model"])
dataset = init_instance_by_config(self.task["dataset"])
self._train_model(model, dataset)
strategy_config = {
"class": "TopkDropoutStrategy",
"module_path": "qlib.contrib.strategy.signal_strategy",
"kwargs": {
"signal": (model, dataset),
"topk": 50,
"n_drop": 5,
},
}
self.port_analysis_config["strategy"] = strategy_config
self.port_analysis_config["backtest"]["benchmark"] = self.benchmark
with R.start(experiment_name="backtest"):
recorder = R.get_recorder()
par = PortAnaRecord(
recorder,
self.port_analysis_config,
indicator_analysis_method="value_weighted",
)
par.generate()
# user could use following methods to analysis the position
# report_normal_df = recorder.load_object("portfolio_analysis/report_normal_1day.pkl")
# from qlib.contrib.report import analysis_position
# analysis_position.report_graph(report_normal_df)
def collect_data(self):
self._init_qlib()
model = init_instance_by_config(self.task["model"])
dataset = init_instance_by_config(self.task["dataset"])
self._train_model(model, dataset)
executor_config = self.port_analysis_config["executor"]
backtest_config = self.port_analysis_config["backtest"]
backtest_config["benchmark"] = self.benchmark
strategy_config = {
"class": "TopkDropoutStrategy",
"module_path": "qlib.contrib.strategy.signal_strategy",
"kwargs": {
"signal": (model, dataset),
"topk": 50,
"n_drop": 5,
},
}
data_generator = collect_data(executor=executor_config, strategy=strategy_config, **backtest_config)
for trade_decision in data_generator:
print(trade_decision)
# the code below are for checking, users don't have to care about it
# The tests can be categorized into 2 types
# 1) comparing same backtest
# - Basic test idea: the shared accumulated value are equal in multiple levels
# - Aligning the profit calculation between multiple levels and single levels.
# 2) comparing different backtest
# - Basic test idea:
# - the daily backtest will be similar as multi-level(the data quality makes this gap samller)
def check_diff_freq(self):
self._init_qlib()
exp = R.get_exp(experiment_name="backtest")
rec = next(iter(exp.list_recorders().values())) # assuming this will get the latest recorder
for check_key in "account", "total_turnover", "total_cost":
check_key = "total_cost"
acc_dict = {}
for freq in ["30minute", "5minute", "1day"]:
acc_dict[freq] = rec.load_object(f"C:/Users/gooda/mlruns/3/bd74a8b02e8a4be7b5cd6a3bff5c228e/artifacts/portfolio_analysis/report_normal_{freq}.pkl")[check_key]
acc_df = pd.DataFrame(acc_dict)
acc_resam = acc_df.resample("1d").last().dropna()
assert (acc_resam["30minute"] == acc_resam["1day"]).all()
def backtest_only_daily(self):
"""
This backtest is used for comparing the nested execution and single layer execution
Due to the low quality daily-level and miniute-level data, they are hardly comparable.
So it is used for detecting serious bugs which make the results different greatly.
.. code-block:: shell
[1724971:MainThread](2021-12-07 16:24:31,156) INFO - qlib.workflow - [record_temp.py:441] - Portfolio analysis record 'port_analysis_1day.pkl'
has been saved as the artifact of the Experiment 2
'The following are analysis results of benchmark return(1day).'
risk
mean 0.000651
std 0.012472
annualized_return 0.154967
information_ratio 0.805422
max_drawdown -0.160445
'The following are analysis results of the excess return without cost(1day).'
risk
mean 0.001375
std 0.006103
annualized_return 0.327204
information_ratio 3.475016
max_drawdown -0.024927
'The following are analysis results of the excess return with cost(1day).'
risk
mean 0.001184
std 0.006091
annualized_return 0.281801
information_ratio 2.998749
max_drawdown -0.029568
[1724971:MainThread](2021-12-07 16:24:31,170) INFO - qlib.workflow - [record_temp.py:466] - Indicator analysis record 'indicator_analysis_1day.
pkl' has been saved as the artifact of the Experiment 2
'The following are analysis results of indicators(1day).'
value
ffr 1.0
pa 0.0
pos 0.0
[1724971:MainThread](2021-12-07 16:24:31,188) INFO - qlib.timer - [log.py:113] - Time cost: 0.007s | waiting `async_log` Done
"""
self._init_qlib()
model = init_instance_by_config(self.task["model"])
dataset = init_instance_by_config(self.task["dataset"])
self._train_model(model, dataset)
strategy_config = {
"class": "TopkDropoutStrategy",
"module_path": "qlib.contrib.strategy.signal_strategy",
"kwargs": {
"signal": (model, dataset),
"topk": 50,
"n_drop": 5,
},
}
pa_conf = deepcopy(self.port_analysis_config)
pa_conf["strategy"] = strategy_config
pa_conf["executor"] = {
"class": "SimulatorExecutor",
"module_path": "qlib.backtest.executor",
"kwargs": {
"time_per_step": "day",
"generate_portfolio_metrics": True,
"verbose": True,
},
}
pa_conf["backtest"]["benchmark"] = self.benchmark
with R.start(experiment_name="backtest"):
recorder = R.get_recorder()
par = PortAnaRecord(recorder, pa_conf)
par.generate()
if __name__ == "__main__":
fire.Fire(NestedDecisionExecutionWorkflow)
| 40.085642 | 174 | 0.56598 |
ed7027e5fd887bb59c20942b584f267d8e5233c8 | 1,666 | py | Python | c4d/create_anim.py | avi-grtl/SimpleMimic | 1fe3325830f81347ef5b8217eda43fe803253730 | [
"MIT"
] | null | null | null | c4d/create_anim.py | avi-grtl/SimpleMimic | 1fe3325830f81347ef5b8217eda43fe803253730 | [
"MIT"
] | null | null | null | c4d/create_anim.py | avi-grtl/SimpleMimic | 1fe3325830f81347ef5b8217eda43fe803253730 | [
"MIT"
] | 1 | 2019-11-03T18:48:24.000Z | 2019-11-03T18:48:24.000Z |
import c4d.modules.character as c4dchar
import c4d.documents as c4ddoc
import c4d.utils as c4dutils
import c4d
import json
print "_____________"
anim_desc = {
"Loop": "wrap",
"Frames": []
}
# Recurses a hierarchy, starting from op
def recurse_hierarchy(op, parentID):
global depth
global globalID
# print "{} parent: {}".format(depth, parentID)
myID = parentID
if isinstance(op, c4dchar.CAJointObject):
globalID += 1
myID = globalID
if myID == 0: # if root, add offset pos
pos = op.GetMl().off
anim_desc["Frames"][-1].append(.5)
anim_desc["Frames"][-1].append(round(pos.x, 5))
anim_desc["Frames"][-1].append(round(pos.y, 5))
anim_desc["Frames"][-1].append(round(pos.z, 5))
# only add quaternions
rot = c4dutils.MatrixToHPB(op.GetMl())
q = c4d.Quaternion()
q.SetHPB(rot)
anim_desc["Frames"][-1].append(round(q.w, 5))
anim_desc["Frames"][-1].append(round(q.v.x, 5))
anim_desc["Frames"][-1].append(round(q.v.y, 5))
anim_desc["Frames"][-1].append(round(q.v.z, 5))
for child in op.GetChildren():
depth += 1
recurse_hierarchy(child, myID)
depth -= 1
doc = c4ddoc.GetActiveDocument()
if doc:
# Iterate all objects in the document
depth = 0
globalID = -1
anim_desc
anim_desc["Frames"].append([])
for op in doc.GetObjects():
recurse_hierarchy(op, globalID)
with open("/Users/scott/Documents/deepmimic/DeepMimic/data/motions/agent.txt", "w") as f:
printJson = json.dumps(anim_desc, indent=4)
f.write(printJson) | 26.444444 | 89 | 0.606242 |
bcb11c0b20cb51f21c87bac47bff671930948e68 | 167 | py | Python | main.py | arteum33/Python_Lesson_1 | fd8a15bcddc49797e4e012614a0b6d7cf6098686 | [
"MIT"
] | null | null | null | main.py | arteum33/Python_Lesson_1 | fd8a15bcddc49797e4e012614a0b6d7cf6098686 | [
"MIT"
] | null | null | null | main.py | arteum33/Python_Lesson_1 | fd8a15bcddc49797e4e012614a0b6d7cf6098686 | [
"MIT"
] | null | null | null | import requests
import json
url= 'https://www.cbr-xml-daily.ru/daily_json.js'
response= requests.get(url)
print(response)
data= json.loads(response.text)
print(data)
| 18.555556 | 49 | 0.772455 |
4ab456260f6c742ad312aaa99e3e2590ddc0675c | 731 | py | Python | olamundo.py/exercicios_refeitos/ex029.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | olamundo.py/exercicios_refeitos/ex029.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | olamundo.py/exercicios_refeitos/ex029.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | '''
ex029: Escreva um programa que leia a velocidade de uma carro. Se ele ultrapassar 80 km/h, mostre uma mensagem dizendo que ele foi multado. A multa vai custar R$ 7,00 por cada Km acima do limite.
'''
from colorise import set_color, reset_color
cor = {
'limpa':'\033[m',
'white':'\033[1;97m'
}
set_color(fg='green')
velocidade_carro = int(input('Informe a velocidade do carro KM/H: '))
if velocidade_carro > 80:
multa = (velocidade_carro - 80) * 7.00
print('\nMULTADO! VOCÊ ULTRAPASSOU O LIMITE PERMITIDO. LOGO TERÁ QUE PAGAR ', end='')
reset_color()
print('{}R${:.2f}{}'.format(cor['white'], multa, cor['limpa']))
else:
set_color(fg='green')
print('\nCONTINUE ASSIM. DIRIGINDO COM SEGURANÇA!')
| 36.55 | 195 | 0.679891 |
dd1c6d7c1668febd90eec7f2a6522dfcabe096cf | 125,713 | py | Python | modules/templates/CCC/config.py | hallamoore/eden | c8e7483f153c80c269dc6ee7e720337323e6f574 | [
"MIT"
] | null | null | null | modules/templates/CCC/config.py | hallamoore/eden | c8e7483f153c80c269dc6ee7e720337323e6f574 | [
"MIT"
] | null | null | null | modules/templates/CCC/config.py | hallamoore/eden | c8e7483f153c80c269dc6ee7e720337323e6f574 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import OrderedDict
from gluon import current
from gluon.storage import Storage
def config(settings):
"""
Cumbria County Council extensions to the Volunteer Management template
- branding
- support Donations
- support Assessments
"""
T = current.T
settings.base.system_name = T("Support Cumbria")
settings.base.system_name_short = T("Support Cumbria")
# Theme
settings.base.theme = "CCC"
settings.base.theme_layouts = "CCC"
settings.base.theme_config = "CCC"
# PrePopulate data
settings.base.prepopulate += ("CCC",)
settings.base.prepopulate_demo = ("CCC/Demo",)
# Authentication settings
# Do new users need to verify their email address?
settings.auth.registration_requires_verification = True
# Do new users need to be approved by an administrator prior to being able to login?
# - varies by path (see register() in controllers.py)
#settings.auth.registration_requires_approval = True
settings.auth.registration_requests_organisation = True
# Required for access to default realm permissions
settings.auth.registration_link_user_to = ["staff"]
settings.auth.registration_link_user_to_default = ["staff"]
settings.auth.realm_entity_types = ("org_organisation",
#"org_office",
"pr_forum",
"pr_group",
)
# -------------------------------------------------------------------------
# L10n (Localization) settings
settings.L10n.languages = OrderedDict([
("en-gb", "English"),
])
# Default Language
settings.L10n.default_language = "en-gb"
# Uncomment to Hide the language toolbar
settings.L10n.display_toolbar = False
# Security Policy
# http://eden.sahanafoundation.org/wiki/S3AAA#System-widePolicy
# 1: Simple (default): Global as Reader, Authenticated as Editor
# 2: Editor role required for Update/Delete, unless record owned by session
# 3: Apply Controller ACLs
# 4: Apply both Controller & Function ACLs
# 5: Apply Controller, Function & Table ACLs
# 6: Apply Controller, Function, Table ACLs and Entity Realm
# 7: Apply Controller, Function, Table ACLs and Entity Realm + Hierarchy
# 8: Apply Controller, Function, Table ACLs, Entity Realm + Hierarchy and Delegations
settings.security.policy = 7 # Organisation-ACLs
# Consent Tracking
settings.auth.consent_tracking = True
# Which page to go to after login?
def login_next():
"""
@ToDo: This function won't work once we update s3aaa.py login to 2-factor auth
since roles not yet assigned when this function is called
"""
from gluon import URL
has_role = current.auth.s3_has_role
if has_role("ADMIN"):
next = current.request.vars._next or URL(c="default", f="index")
elif has_role("VOLUNTEER") or has_role("RESERVE"):
next = URL(c="cms", f="post", args="datalist")
elif has_role("DONOR"):
next = URL(c="default", f="index", args="donor")
else:
next = current.request.vars._next or URL(c="default", f="index")
return next
settings.auth.login_next = login_next
settings.auth.login_next_always = True
# Record Approval
settings.auth.record_approval = True
settings.auth.record_approval_required_for = ("org_organisation",
)
# -------------------------------------------------------------------------
# Comment/uncomment modules here to disable/enable them
# Modules menu is defined in modules/eden/menu.py
#settings.modules.update([
settings.modules = OrderedDict([
# Core modules which shouldn't be disabled
("default", Storage(
name_nice = T("Home"),
restricted = False, # Use ACLs to control access to this module
access = None, # All Users (inc Anonymous) can see this module in the default menu & access the controller
module_type = None # This item is not shown in the menu
)),
("admin", Storage(
name_nice = T("Administration"),
#description = "Site Administration",
restricted = True,
access = "|1|", # Only Administrators can see this module in the default menu & access the controller
module_type = None # This item is handled separately for the menu
)),
("appadmin", Storage(
name_nice = T("Administration"),
#description = "Site Administration",
restricted = True,
module_type = None # No Menu
)),
("errors", Storage(
name_nice = T("Ticket Viewer"),
#description = "Needed for Breadcrumbs",
restricted = False,
module_type = None # No Menu
)),
#("sync", Storage(
# name_nice = T("Synchronization"),
# #description = "Synchronization",
# restricted = True,
# access = "|1|", # Only Administrators can see this module in the default menu & access the controller
# module_type = None # This item is handled separately for the menu
#)),
#("tour", Storage(
# name_nice = T("Guided Tour Functionality"),
# module_type = None,
#)),
#("translate", Storage(
# name_nice = T("Translation Functionality"),
# #description = "Selective translation of strings based on module.",
# module_type = None,
#)),
("gis", Storage(
name_nice = T("Map"),
#description = "Situation Awareness & Geospatial Analysis",
restricted = True,
module_type = None,
)),
("pr", Storage(
name_nice = T("Person Registry"),
#description = "Central point to record details on People",
restricted = True,
access = "|1|", # Only Administrators can see this module in the default menu (access to controller is possible to all still)
module_type = None,
)),
("org", Storage(
name_nice = T("Organizations"),
#description = 'Lists "who is doing what & where". Allows relief agencies to coordinate their activities',
restricted = True,
module_type = None,
)),
("hrm", Storage(
name_nice = T("Personnel"),
#description = "Human Resources Management",
restricted = True,
module_type = None,
)),
#("vol", Storage(
# name_nice = T("Volunteers"),
# #description = "Human Resources Management",
# restricted = True,
# module_type = 2,
#)),
("cms", Storage(
name_nice = T("Content Management"),
#description = "Content Management System",
restricted = True,
module_type = None,
)),
("doc", Storage(
name_nice = T("Documents"),
#description = "A library of digital resources, such as photos, documents and reports",
restricted = True,
module_type = None,
)),
("msg", Storage(
name_nice = T("Messaging"),
#description = "Sends & Receives Alerts via Email & SMS",
restricted = True,
# The user-visible functionality of this module isn't normally required. Rather it's main purpose is to be accessed from other modules.
module_type = None,
)),
#("cr", Storage(
# name_nice = T("Shelters"),
# #description = "Tracks the location, capacity and breakdown of victims in Shelters",
# restricted = True,
# module_type = 10
#)),
("dc", Storage(
name_nice = T("Assessments"),
#description = "Data collection tool",
restricted = True,
module_type = None,
)),
("project", Storage(
name_nice = T("Projects"),
#description = "Tasks for Contacts",
restricted = True,
module_type = None,
)),
("supply", Storage(
name_nice = T("Supply Chain Management"),
#description = "Used within Inventory Management, Request Management and Asset Management",
restricted = True,
module_type = None, # Not displayed
)),
#("inv", Storage(
# name_nice = T("Warehouses"),
# #description = "Receiving and Sending Items",
# restricted = True,
# module_type = None,
#)),
("req", Storage(
name_nice = T("Requests"),
#description = "Manage requests for supplies, assets, staff or other resources. Matches against Inventories where supplies are requested.",
restricted = True,
module_type = None,
)),
])
settings.search.filter_manager = False
settings.ui.filter_clear = False
settings.cms.richtext = True
settings.hrm.event_course_mandatory = False
settings.pr.hide_third_gender = False
#settings.project.task_priority_opts = {1: T("Low"),
# 2: T("Medium"),
# 3: T("High"),
# }
#settings.project.task_status_opts = {1: T("New"),
# 2: T("In-Progress"),
# 3: T("Closed"),
# }
# Now using req_need, so unused:
#settings.req.req_type = ("People",)
# -------------------------------------------------------------------------
def ccc_realm_entity(table, row):
"""
Assign a Realm Entity to records
"""
if current.auth.s3_has_role("ADMIN"):
# Use default rules
return 0
tablename = table._tablename
if tablename in (#"hrm_training_event",
"project_task",
#"req_need",
):
# Use the Org of the Creator
db = current.db
new_row = db(table.id == row.id).select(table.created_by,
limitby = (0, 1),
).first()
user_id = new_row.created_by
utable = db.auth_user
otable = current.s3db.org_organisation
query = (utable.id == user_id) & \
(utable.organisation_id == otable.id)
org = db(query).select(otable.pe_id,
limitby = (0, 1),
).first()
if org:
return org.pe_id
# Use default rules
return 0
settings.auth.realm_entity = ccc_realm_entity
# -------------------------------------------------------------------------
def ccc_rheader(r):
"""
Custom rheaders
"""
if r.representation != "html":
# RHeaders only used in interactive views
return None
# Need to use this format as otherwise req_match?viewing=org_office.x
# doesn't have an rheader
from s3 import s3_rheader_resource, s3_rheader_tabs
tablename, record = s3_rheader_resource(r)
if record is None:
# List or Create form: rheader makes no sense here
return None
from gluon import DIV, TABLE, TR, TH
T = current.T
if tablename == "hrm_training_event":
T = current.T
if current.auth.s3_has_role("ORG_ADMIN"):
tabs = [(T("Basic Details"), None),
(T("Participants"), "participant"),
(T("Invite"), "assign"),
]
else:
tabs = []
rheader_tabs = s3_rheader_tabs(r, tabs)
table = r.table
location_id = table.location_id
date_field = table.start_date
rheader = DIV(TABLE(TR(TH("%s: " % T("Event name")),
record.name,
),
TR(TH("%s: " % T("Date")),
date_field.represent(record.start_date),
),
TR(TH("%s: " % location_id.label),
location_id.represent(record.location_id),
)),
rheader_tabs)
elif tablename == "org_organisation":
T = current.T
tabs = [(T("Basic Details"), None),
#(T("Offices"), "office"),
(T("Key Locations"), "facility"),
#(T("Locations Served"), "location"),
(T("Volunteers"), "human_resource"),
]
rheader_tabs = s3_rheader_tabs(r, tabs)
from s3 import s3_fullname
table = r.table
rheader = DIV(TABLE(TR(TH("%s: " % T("Name")),
record.name,
)),
rheader_tabs)
elif tablename == "pr_group":
T = current.T
tabs = [(T("Basic Details"), None),
# 'Person' allows native tab breakout
#(T("Members"), "group_membership"),
(T("Members"), "person"),
#(T("Locations"), "group_location"),
#(T("Skills"), "competency"),
]
rheader_tabs = s3_rheader_tabs(r, tabs)
from s3 import s3_fullname
table = r.table
rheader = DIV(TABLE(TR(TH("%s: " % T("Name")),
record.name,
)),
rheader_tabs)
elif tablename == "pr_person":
T = current.T
tabs = [(T("Basic Details"), None),
(T("Address"), "address"),
(T("Contacts"), "contacts"),
# Included in Contacts tab:
#(T("Emergency Contacts"), "contact_emergency"),
]
get_vars_get = r.get_vars.get
has_role = current.auth.s3_has_role
if get_vars_get("donors") or \
has_role("DONOR", include_admin=False):
# Better on main form using S3SQLInlineLink
#tabs.append((T("Goods / Services"), "item"))
pass
elif get_vars_get("groups") or \
has_role("GROUP_ADMIN", include_admin=False):
# Better as menu item, to be able to access tab(s)
#tabs.append((T("Group"), "group"))
pass
else:
tabs.append((T("Additional Information"), "additional"))
# Better on main form using S3SQLInlineLink
#tabs.append((T("Skills"), "competency"))
if has_role("ORG_ADMIN"):
tabs.insert(1, (T("Affiliation"), "human_resource"))
rheader_tabs = s3_rheader_tabs(r, tabs)
from s3 import s3_fullname
table = r.table
rheader = DIV(TABLE(TR(TH("%s: " % T("Name")),
s3_fullname(record),
)),
rheader_tabs)
elif tablename == "req_need":
if not current.auth.s3_has_role("ORG_ADMIN"):
# @ToDo: Button to Apply (rheader or rfooter)
return None
T = current.T
tabs = [(T("Basic Details"), None),
#(T("Items"), "need_item"),
#(T("Skills"), "need_skill"),
(T("Participants"), "need_person"),
(T("Invite"), "assign"),
]
rheader_tabs = s3_rheader_tabs(r, tabs)
table = r.table
location_id = table.location_id
date_field = table.date
rheader = DIV(TABLE(TR(TH("%s: " % table.name.label),
record.name,
),
TR(TH("%s: " % date_field.label),
date_field.represent(record.date),
),
TR(TH("%s: " % location_id.label),
location_id.represent(record.location_id),
)),
rheader_tabs)
return rheader
# -------------------------------------------------------------------------
def customise_auth_user_resource(r, tablename):
"""
Hook in custom auth_user_register_onaccept for use when Agency/Existing Users are Approved
"""
from templates.CCC.controllers import auth_user_register_onaccept
current.s3db.configure("auth_user",
register_onaccept = auth_user_register_onaccept,
)
settings.customise_auth_user_resource = customise_auth_user_resource
# -------------------------------------------------------------------------
def customise_auth_user_controller(**attr):
if current.request.args(0) == "register":
# Not easy to tweak the URL in the login form's buttons
from gluon import redirect, URL
redirect(URL(c="default", f="index",
args="register",
vars=current.request.get_vars))
return attr
settings.customise_auth_user_controller = customise_auth_user_controller
# -------------------------------------------------------------------------
def customise_cms_post_resource(r, tablename):
from gluon import URL
from s3 import S3SQLCustomForm, S3SQLInlineComponent, S3TextFilter
#from templates.CCC.controllers import cms_post_list_layout
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("Add Information"),
# title_display = T("Guide Details"),
title_list = "",
# title_update = T("Edit Guide"),
# #title_upload = T("Import Guides"),
# label_list_button = T("List Guides"),
# label_delete_button = T("Delete Guide"),
# msg_record_created = T("Guide added"),
# msg_record_modified = T("Guide updated"),
# msg_record_deleted = T("Guide deleted"),
# msg_list_empty = T("No Guides currently registered")
)
s3db = current.s3db
#f = s3db.cms_post.series_id
#f.label = T("Category")
#f.readable = f.writable = True
s3db.configure("cms_post",
create_next = URL(args="datalist"),
crud_form = S3SQLCustomForm(#"series_id",
"title",
"body",
S3SQLInlineComponent(
"document",
label = T("Attachment"),
#multiple = False,
fields = [("", "file")],
),
),
list_fields = [#"series_id",
"title",
"body",
"date",
"document.file",
],
#list_layout = cms_post_list_layout,
filter_widgets = [S3TextFilter(["title",
#"series_id",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
],
)
settings.customise_cms_post_resource = customise_cms_post_resource
# -----------------------------------------------------------------------------
def customise_cms_post_controller(**attr):
s3 = current.response.s3
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
if r.method == "datalist":
# Filter out system posts
from s3 import FS
r.resource.add_filter(FS("post_module.module") == None)
# Twitter script
s3.scripts.append("https://platform.twitter.com/widgets.js")
return result
s3.prep = prep
s3.dl_no_header = True
#attr["dl_rowsize"] = 2
return attr
settings.customise_cms_post_controller = customise_cms_post_controller
# -------------------------------------------------------------------------
def customise_doc_document_resource(r, tablename):
from gluon import IS_IN_SET, URL
from s3 import S3SQLCustomForm, S3TextFilter
#from templates.CCC.controllers import doc_document_list_layout
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("Add Document"),
# title_display = T("Guide Details"),
title_list = "",
# title_update = T("Edit Guide"),
# #title_upload = T("Import Guides"),
# label_list_button = T("List Guides"),
# label_delete_button = T("Delete Guide"),
# msg_record_created = T("Guide added"),
# msg_record_modified = T("Guide updated"),
# msg_record_deleted = T("Guide deleted"),
# msg_list_empty = T("No Guides currently registered")
)
s3db = current.s3db
# Filtered components
s3db.add_components("doc_document",
doc_document_tag = ({"name": "document_type",
"joinby": "document_id",
"filterby": {"tag": "document_type"},
"multiple": False,
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
document_type = components_get("document_type")
f = document_type.table.value
f.requires = IS_IN_SET(["Emergency Plan",
"Contact Information",
"Risk Assessment",
"Guidance Document",
"Map",
"Other",
])
f = s3db.doc_document.organisation_id
user = current.auth.user
organisation_id = user and user.organisation_id
if organisation_id:
f.default = organisation_id
else:
f.readable = f.writable = True
s3db.configure("doc_document",
create_next = URL(args="datalist"),
crud_form = S3SQLCustomForm("organisation_id",
(T("Type"), "document_type.value"),
(T("Document Name"), "name"),
"file",
"date",
"comments",
),
list_fields = ["organisation_id",
"document_type.value",
"name",
"file",
"date",
"comments",
],
#list_layout = doc_document_list_layout,
filter_widgets = [S3TextFilter(["name",
"organisation_id",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
],
)
settings.customise_doc_document_resource = customise_doc_document_resource
# -----------------------------------------------------------------------------
def customise_doc_document_controller(**attr):
current.response.s3.dl_no_header = True
return attr
settings.customise_doc_document_controller = customise_doc_document_controller
# -------------------------------------------------------------------------
def customise_hrm_competency_resource(r, tablename):
s3db = current.s3db
table = s3db.hrm_competency
table.competency_id.readable = table.competency_id.writable = False
table.organisation_id.readable = table.organisation_id.writable = False
s3db.configure("hrm_competency",
list_fields = ["skill_id",
"comments",
],
)
settings.customise_hrm_competency_resource = customise_hrm_competency_resource
# -------------------------------------------------------------------------
def customise_hrm_human_resource_resource(r, tablename):
from s3 import S3OptionsFilter, S3SQLCustomForm, S3TextFilter
from s3layouts import S3PopupLink
s3db = current.s3db
# Filtered components
s3db.add_components("hrm_human_resource",
hrm_human_resource_tag = ({"name": "job_title",
"joinby": "human_resource_id",
"filterby": {"tag": "job_title"},
"multiple": False,
},
),
)
table = s3db.hrm_human_resource
# We use job_title tag instead for freetext rather than dropdown
#f = table.job_title_id
#f.label = T("Role")
#f.comment = S3PopupLink(c = "hrm",
# f = "job_title",
# label = T("New Job Title"),
# title = T("Role"),
# tooltip = T("The volunteer's role"),
# )
if r.controller == "default":
# Personal Profile
list_fields = ["job_title.value",
]
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("New Affiliation"),
title_display = T("Affiliation Details"),
title_list = T("Affiliations"),
title_update = T("Edit Affiliation"),
#title_upload = T("Import Affiliations"),
label_list_button = T("List Affiliations"),
label_delete_button = T("Delete Affiliation"),
msg_record_created = T("Affiliation added"),
msg_record_modified = T("Affiliation updated"),
msg_record_deleted = T("Affiliation deleted"),
msg_list_empty = T("No Affiliations currently registered")
)
else:
list_fields = ["person_id",
(T("Role"), "job_title.value"),
(T("Skills"), "person_id$competency.skill_id"),
(T("Email"), "email.value"),
(T("Mobile Phone"), "phone.value"),
]
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("New Volunteer"),
title_display = T("Volunteer Details"),
title_list = T("Volunteers"),
title_update = T("Edit Volunteer"),
#title_upload = T("Import Volunteers"),
label_list_button = T("List Volunteers"),
label_delete_button = T("Delete Volunteer"),
msg_record_created = T("Volunteer added"),
msg_record_modified = T("Volunteer updated"),
msg_record_deleted = T("Volunteer deleted"),
msg_list_empty = T("No Volunteers currently registered")
)
filter_fields = ["person_id$first_name",
"person_id$middle_name",
"person_id$last_name",
"job_title.value",
"comments",
"person_id$competency.skill_id$name",
]
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
filter_widgets = [S3TextFilter(filter_fields,
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("person_id$person_location.location_id",
label = T("Locations Served"),
options = districts,
),
S3OptionsFilter("person_id$competency.skill_id"),
]
if current.auth.s3_has_role("ADMIN"):
filter_fields.insert(0, "organisation_id$name")
filter_widgets.append(S3OptionsFilter("organisation_id"))
list_fields.insert(0, "organisation_id")
else:
f = table.organisation_id
f.readable = f.writable = False
f.comment = None # No Create
s3db.configure("hrm_human_resource",
crud_form = S3SQLCustomForm("organisation_id",
(T("Role"), "job_title.value"),
"person_id",
"comments",
),
list_fields = list_fields,
filter_widgets = filter_widgets,
)
settings.customise_hrm_human_resource_resource = customise_hrm_human_resource_resource
# -------------------------------------------------------------------------
#def customise_hrm_job_title_resource(r, tablename):
# current.response.s3.crud_strings[tablename] = Storage(
# label_create = T("New Role"),
# title_display = T("Role Details"),
# title_list = T("Roles"),
# title_update = T("Edit Role"),
# #title_upload = T("Import Roles"),
# label_list_button = T("List Roles"),
# label_delete_button = T("Delete Role"),
# msg_record_created = T("Role added"),
# msg_record_modified = T("Role updated"),
# msg_record_deleted = T("Role deleted"),
# msg_list_empty = T("No Roles currently registered")
# )
#settings.customise_hrm_job_title_resource = customise_hrm_job_title_resource
# -------------------------------------------------------------------------
def hrm_training_event_postprocess(form):
"""
Create Site based on other fields
"""
training_event_id = form.vars.id
db = current.db
s3db = current.s3db
etable = s3db.hrm_training_event
ettable = s3db.hrm_event_tag
ftable = s3db.org_facility
# Load record
left = ettable.on((ettable.training_event_id == training_event_id) & \
(ettable.tag == "venue_name")
)
training_event = db(etable.id == training_event_id).select(etable.location_id,
etable.site_id,
ettable.value,
left = left,
limitby = (0, 1)
).first()
venue_name = training_event[ettable.value]
location_id = training_event[etable.location_id]
site_id = training_event[etable.site_id]
if site_id:
facility = db(ftable.site_id == site_id).select(ftable.id,
limitby = (0, 1)
).first()
facility.update_record(name = venue_name,
location_id = location_id,
)
else:
record = {"name": venue_name,
"location_id": location_id,
}
facility_id = ftable.insert(**record)
record["id"] = facility_id
s3db.update_super(ftable, record)
db(etable.id == training_event_id).update(site_id = record["site_id"])
# -------------------------------------------------------------------------
def customise_hrm_training_resource(r, tablename):
from s3 import S3SQLCustomForm
s3db = current.s3db
table = s3db.hrm_training
table.status.readable = table.status.writable = True
table.person_id.represent = s3db.pr_PersonRepresent(show_link=True)
s3db.configure("req_need_person",
)
s3db.configure("hrm_training",
crud_form = S3SQLCustomForm("person_id",
"status",
"comments",
),
list_fields = ["person_id",
"person_id$human_resource.organisation_id",
"status",
"comments",
],
# Don't add people here (they are either invited or apply)
listadd = False,
)
settings.customise_hrm_training_resource = customise_hrm_training_resource
# -------------------------------------------------------------------------
def customise_hrm_training_event_resource(r, tablename):
from gluon import IS_EMAIL, IS_EMPTY_OR, IS_IN_SET, IS_NOT_EMPTY, IS_URL
from s3 import IS_UTC_DATETIME, \
S3SQLInlineLink, S3LocationSelector, \
S3OptionsFilter, S3SQLCustomForm, S3TextFilter, \
s3_phone_requires
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("New Event"),
title_display = T("Event Details"),
title_list = T("Events"),
title_update = T("Edit Event"),
#title_upload = T("Import Events"),
label_list_button = T("List Events"),
label_delete_button = T("Delete Event"),
msg_record_created = T("Event added"),
msg_record_modified = T("Event updated"),
msg_record_deleted = T("Event deleted"),
msg_list_empty = T("No Events currently registered")
)
s3db = current.s3db
# Filtered components
s3db.add_components("hrm_training_event",
hrm_event_tag = ({"name": "venue_name",
"joinby": "training_event_id",
"filterby": {"tag": "venue_name"},
"multiple": False,
},
{"name": "contact_name",
"joinby": "training_event_id",
"filterby": {"tag": "contact_name"},
"multiple": False,
},
{"name": "contact_tel",
"joinby": "training_event_id",
"filterby": {"tag": "contact_tel"},
"multiple": False,
},
{"name": "contact_email",
"joinby": "training_event_id",
"filterby": {"tag": "contact_email"},
"multiple": False,
},
{"name": "contact_web",
"joinby": "training_event_id",
"filterby": {"tag": "contact_web"},
"multiple": False,
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
venue_name = components_get("venue_name")
f = venue_name.table.value
f.requires = IS_NOT_EMPTY()
contact_tel = components_get("contact_tel")
f = contact_tel.table.value
f.requires = IS_EMPTY_OR(s3_phone_requires)
contact_email = components_get("contact_email")
f = contact_email.table.value
f.requires = IS_EMAIL()
contact_web = components_get("contact_web")
f = contact_web.table.value
f.requires = IS_EMPTY_OR(IS_URL())
table = s3db.hrm_training_event
table.name.readable = table.name.writable = True
table.comments.comment = None
table.start_date.requires = IS_UTC_DATETIME()
table.site_id.represent = s3db.org_SiteRepresent(show_type = False)
f = table.location_id
f.readable = f.writable = True
f.widget = S3LocationSelector(levels = ("L3"),
required_levels = ("L3"),
show_address = True)
list_fields = ["start_date",
"name",
"site_id",
"location_id$L3",
"location_id$addr_street",
]
filter_widgets = [S3TextFilter(["name",
"comments",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("location_id$L3",
label = T("District"),
),
]
auth = current.auth
if auth.s3_has_role("ADMIN"):
filter_widgets.append(S3OptionsFilter("organisation_id",
label = T("Organization")))
list_fields.insert(0, (T("Organization"), "organisation_id"))
else:
f = table.organisation_id
f.default = auth.user.organisation_id
f.readable = f.writable = False
s3db.configure("hrm_training_event",
crud_form = S3SQLCustomForm((T("Event name"), "name"),
(T("Event description"), "comments"),
(T("Starts"), "start_date"),
(T("Ends"), "end_date"),
(T("Lead Organization"), "organisation_id"),
#S3SQLInlineLink("location",
# field = "location_id",
# label = T("Tick the area(s) which this event relates to"),
# ),
(T("Venue name"), "venue_name.value"),
"location_id",
(T("Contact Name"), "contact_name.value"),
(T("Telephone"), "contact_tel.value"),
(T("Email"), "contact_email.value"),
(T("Website"), "contact_web.value"),
postprocess = hrm_training_event_postprocess,
),
filter_widgets = filter_widgets,
list_fields = list_fields,
subheadings = {"name": T("Event Information"),
#"link_defaultlocation": T("Event Coverage"),
"venue_name_value": T("Venue"),
"contact_name_value": T("Contact Information"),
},
)
settings.customise_hrm_training_event_resource = customise_hrm_training_event_resource
# -----------------------------------------------------------------------------
def customise_hrm_training_event_controller(**attr):
s3db = current.s3db
s3 = current.response.s3
s3.crud.assign_button = "Invite"
# Ensure Tab is shown
s3db.set_method("hrm", "training_event",
method = "assign",
action = s3db.pr_AssignMethod(component = "participant"))
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
auth = current.auth
if auth.s3_has_role("RESERVE", include_admin=False):
# Filter to just those they are invited to
from s3 import FS
#table = s3db.hrm_training
#trainings = db(table.person_id == auth.s3_logged_in_person()).select(table.training_event_id)
#events_invited = [t.training_event_id for t in trainings]
r.resource.add_filter(FS("participant.id") == auth.s3_logged_in_person())
if not r.component:
from gluon import URL
r.resource.configure(create_next = URL(c="hrm", f="training_event",
args = ["[id]", "assign"]))
if r.method == "assign":
from s3 import S3OptionsFilter
# Filtered components
s3db.add_components("hrm_human_resource",
hrm_human_resource_tag = ({"name": "job_title",
"joinby": "human_resource_id",
"filterby": {"tag": "job_title"},
"multiple": False,
},
),
)
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
filter_widgets = [S3OptionsFilter("human_resource.organisation_id"),
S3OptionsFilter("person_location.location_id",
label = T("Location"),
options = districts,
),
#S3OptionsFilter("competency.skill_id"),
]
list_fields = ["id",
"first_name",
"last_name",
"human_resource.organisation_id",
(T("Role"), "human_resource.job_title.value"),
(T("Skills"), "competency.skill_id"),
]
s3db.set_method("hrm", "training_event",
method = "assign",
action = s3db.pr_AssignMethod(component = "participant",
filter_widgets = filter_widgets,
list_fields = list_fields,
))
return result
s3.prep = prep
attr["rheader"] = ccc_rheader
return attr
settings.customise_hrm_training_event_controller = customise_hrm_training_event_controller
# -------------------------------------------------------------------------
def customise_org_facility_resource(r, tablename):
from s3 import S3SQLCustomForm, S3SQLInlineLink
s3db = current.s3db
s3db.org_site_facility_type.facility_type_id.label = T("Type")
crud_form = S3SQLCustomForm("name",
"code",
S3SQLInlineLink(
"facility_type",
label = T("Type"),
field = "facility_type_id",
#widget = "groupedopts",
cols = 3,
),
#"organisation_id",
"location_id",
"opening_times",
"contact",
"phone1",
"phone2",
"email",
"website",
#S3SQLInlineComponent(
# "status",
# label = T("Status"),
# fields = ["last_contacted"],
# multiple = False,
#),
"obsolete",
"comments",
)
s3db.configure(tablename,
crud_form = crud_form,
)
settings.customise_org_facility_resource = customise_org_facility_resource
# -------------------------------------------------------------------------
def customise_org_organisation_resource(r, tablename):
from gluon import IS_EMAIL, IS_EMPTY_OR, IS_IN_SET, IS_URL
from s3 import S3OptionsFilter, S3SQLCustomForm, S3SQLInlineComponent, S3SQLInlineLink, S3TextFilter
s3db = current.s3db
# Filtered components
s3db.add_components("org_organisation",
pr_contact = ({"name": "email",
"joinby": "pe_id",
"multiple": False,
"filterby": {"contact_method": "EMAIL",
},
},
{"name": "facebook",
"joinby": "pe_id",
"multiple": False,
"filterby": {"contact_method": "FACEBOOK",
},
},
{"name": "twitter",
"joinby": "pe_id",
"multiple": False,
"filterby": {"contact_method": "TWITTER",
},
},
{"name": "sm_other",
"joinby": "pe_id",
"multiple": False,
"filterby": {"contact_method": "OTHER",
},
},
),
org_organisation_tag = ({"name": "sm_other_type",
"joinby": "organisation_id",
"multiple": False,
"filterby": {"tag": "sm_other_type",
},
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
email = components_get("email")
f = email.table.value
f.requires = IS_EMPTY_OR(IS_EMAIL())
facebook = components_get("facebook")
f = facebook.table.value
f.requires = IS_EMPTY_OR(IS_URL())
#twitter = components_get("twitter")
#f = twitter.table.value
#f.requires = IS_EMPTY_OR(None)
#sm_other = components_get("sm_other")
#f = sm_other.table.value
#f.requires = IS_EMPTY_OR(None)
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
f = s3db.org_organisation_location.location_id
f.requires = IS_EMPTY_OR(IS_IN_SET(districts))
f.widget = None
s3db.configure("org_organisation",
crud_form = S3SQLCustomForm((T("Name of Organization"), "name"),
S3SQLInlineLink("organisation_type",
field = "organisation_type_id",
label = T("Type"),
),
S3SQLInlineLink("location",
field = "location_id",
label = T("District"),
),
S3SQLInlineComponent(
"email",
name = "email",
label = T("Email"),
multiple = False,
fields = [("", "value")],
#filterby = {"field": "contact_method",
# "options": "EMAIL",
# },
),
S3SQLInlineComponent(
"facebook",
name = "facebook",
label = T("Facebook"),
multiple = False,
fields = [("", "value")],
#filterby = {"field": "contact_method",
# "options": "FACEBOOK",
# },
),
S3SQLInlineComponent(
"twitter",
name = "twitter",
label = T("Twitter"),
multiple = False,
fields = [("", "value")],
#filterby = {"field": "contact_method",
# "options": "TWITTER",
# },
),
S3SQLInlineComponent(
"sm_other",
name = "sm_other",
label = T("SM Other"),
multiple = False,
fields = [("", "value")],
#filterby = {"field": "contact_method",
# "options": "OTHER",
# },
),
(T("Please Specify"), "sm_other_type.value"),
"website",
"comments",
),
list_fields = ["name",
(T("Type"), "organisation_organisation_type.organisation_type_id"),
(T("Locations Served"), "organisation_location.location_id"),
],
filter_widgets = [S3TextFilter(["name",
"comments",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("organisation_organisation_type.organisation_type_id",
label = T("Type"),
),
S3OptionsFilter("organisation_location.location_id",
label = T("Locations Served"),
),
],
)
settings.customise_org_organisation_resource = customise_org_organisation_resource
# -----------------------------------------------------------------------------
def customise_org_organisation_controller(**attr):
attr["rheader"] = ccc_rheader
return attr
settings.customise_org_organisation_controller = customise_org_organisation_controller
# -------------------------------------------------------------------------
def customise_org_organisation_location_resource(r, tablename):
from gluon import IS_EMPTY_OR, IS_IN_SET
s3db = current.s3db
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
f = s3db.org_organisation_location.location_id
f.requires = IS_EMPTY_OR(IS_IN_SET(districts))
f.widget = None
settings.customise_org_organisation_location_resource = customise_org_organisation_location_resource
# -------------------------------------------------------------------------
def customise_pr_group_resource(r, tablename):
from gluon import IS_EMPTY_OR, IS_IN_SET, IS_INT_IN_RANGE, IS_NOT_EMPTY, \
SQLFORM
from s3 import IS_INT_AMOUNT, S3OptionsFilter, S3SQLCustomForm, \
S3SQLInlineLink, S3TextFilter, s3_phone_requires
s3db = current.s3db
# Filtered components
s3db.add_components("pr_group",
pr_group_tag = ({"name": "volunteers",
"joinby": "group_id",
"filterby": {"tag": "volunteers"},
"multiple": False,
},
{"name": "transport",
"joinby": "group_id",
"filterby": {"tag": "transport"},
"multiple": False,
},
{"name": "skills_details",
"joinby": "group_id",
"filterby": {"tag": "skills_details"},
"multiple": False,
},
{"name": "faith_requirements",
"joinby": "group_id",
"filterby": {"tag": "faith_requirements"},
"multiple": False,
},
{"name": "faith_requirements_details",
"joinby": "group_id",
"filterby": {"tag": "faith_requirements_details"},
"multiple": False,
},
{"name": "contact_name",
"joinby": "group_id",
"filterby": {"tag": "contact_name"},
"multiple": False,
},
{"name": "contact_number",
"joinby": "group_id",
"filterby": {"tag": "contact_number"},
"multiple": False,
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
integer_represent = IS_INT_AMOUNT.represent
volunteers = components_get("volunteers")
f = volunteers.table.value
f.represent = integer_represent
f.requires = IS_EMPTY_OR(IS_INT_IN_RANGE(0, None))
faith_requirements = components_get("faith_requirements")
f = faith_requirements.table.value
f.requires = IS_IN_SET({"0": T("No"),
"1": T("Yes"),
})
f.widget = lambda f, v: \
SQLFORM.widgets.radio.widget(f, v,
style="divs")
contact_name = components_get("contact_name")
f = contact_name.table.value
f.requires = IS_NOT_EMPTY()
f.comment = T("Contact must not be listed as a leader")
contact_number = components_get("contact_number")
f = contact_number.table.value
f.requires = s3_phone_requires
s3db.configure("pr_group",
crud_form = S3SQLCustomForm("name",
(T("Approximate Number of Volunteers"), "volunteers.value"),
(T("Mode of Transport"), "transport.value"),
S3SQLInlineLink("skill",
field = "skill_id",
label = T("Volunteer Offer"),
),
(T("Please specify details"), "skills_details.value"),
S3SQLInlineLink("location",
field = "location_id",
label = T("Where would you be willing to volunteer?"),
),
(T("Do you have any faith requirements that you would like help with if you are coming to Support Cumbria?"), "faith_requirements.value"),
(T("If Yes please outline"), "faith_requirements_details.value"),
(T("Emergency Contact Name"), "contact_name.value"),
(T("Emergency Contact Number"), "contact_number.value"),
"comments",
),
list_fields = ["name",
(T("# Volunteers"), "volunteers.value"),
(T("Mode of Transport"), "transport.value"),
# Not working:
#(T("Leaders"), "group_membership.person_id"),
(T("Locations"), "group_location.location_id"),
(T("Skills"), "group_competency.skill_id"),
(T("Skills Details"), "skill_details.value"),
"comments",
],
filter_widgets = [S3TextFilter(["name",
"group_membership.person_id$first_name",
"group_membership.person_id$middle_name",
"group_membership.person_id$last_name",
"group_location.location_id",
"group_competency.skill_id",
"skills_details.value",
"comments",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("group_location.location_id",
label = T("Locations Served"),
),
S3OptionsFilter("group_competency.skill_id",
label = T("Skill"),
),
],
)
settings.customise_pr_group_resource = customise_pr_group_resource
# -----------------------------------------------------------------------------
def customise_pr_group_controller(**attr):
s3 = current.response.s3
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
if r.component_name == "person":
s3.crud_strings["pr_person"] = Storage(
label_create = T("New Member"),
title_display = T("Member Details"),
title_list = T("Members"),
title_update = T("Edit Member"),
#title_upload = T("Import Members"),
label_list_button = T("List Members"),
label_delete_button = T("Delete Member"),
msg_record_created = T("Member added"),
msg_record_modified = T("Member updated"),
msg_record_deleted = T("Member deleted"),
msg_list_empty = T("No Members currently registered")
)
r.component.configure(list_fields = ["first_name",
"middle_name",
"last_name",
(T("Email"), "email.value"),
(T("Mobile Phone"), "phone.value"),
"comments",
],
)
return result
s3.prep = prep
attr["rheader"] = ccc_rheader
# Allow components with components (i.e. persons) to breakout from tabs
#attr["native"] = True
# Custom postp
standard_postp = s3.postp
def postp(r, output):
# Call standard postp
if callable(standard_postp):
output = standard_postp(r, output)
if r.component_name == "person":
# Include get_vars on Action Buttons to configure crud_form/crud_strings appropriately
from gluon import URL
from s3 import S3CRUD
read_url = URL(c="pr", f="person", args=["[id]", "read"],
vars = {"groups": 1})
update_url = URL(c="pr", f="person", args=["[id]", "update"],
vars = {"groups": 1})
S3CRUD.action_buttons(r,
read_url = read_url,
update_url = update_url,
)
return output
s3.postp = postp
return attr
settings.customise_pr_group_controller = customise_pr_group_controller
# -------------------------------------------------------------------------
def customise_pr_group_location_resource(r, tablename):
from gluon import IS_EMPTY_OR, IS_IN_SET
s3db = current.s3db
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
f = s3db.pr_group_location.location_id
f.requires = IS_EMPTY_OR(IS_IN_SET(districts))
f.widget = None
settings.customise_pr_group_location_resource = customise_pr_group_location_resource
# -------------------------------------------------------------------------
def customise_pr_group_membership_resource(r, tablename):
from s3 import S3AddPersonWidget, S3SQLCustomForm
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("Add Leader"),
title_display = T("Leader Details"),
title_list = T("Leaders"),
title_update = T("Edit Leader"),
#title_upload = T("Import Leaders"),
label_list_button = T("List Leaders"),
label_delete_button = T("Delete Leader"),
msg_record_created = T("Leader added"),
msg_record_modified = T("Leader updated"),
msg_record_deleted = T("Leader deleted"),
msg_list_empty = T("No Leaders currently registered")
)
s3db = current.s3db
table = s3db.pr_group_membership
table.person_id.widget = S3AddPersonWidget(controller="pr")
s3db.configure("pr_group_membership",
crud_form = S3SQLCustomForm("person_id",
"comments",
),
list_fields = ["person_id",
(T("Phone"), "person_id$phone.value"),
(T("Email"), "person_id$email.value"),
"comments",
],
)
settings.customise_pr_group_membership_resource = customise_pr_group_membership_resource
# -------------------------------------------------------------------------
def customise_pr_person_resource(r, tablename):
from gluon import IS_EMPTY_OR, IS_IN_SET
from s3 import S3SQLCustomForm, S3SQLInlineComponent, S3SQLInlineLink
s3db = current.s3db
# Filtered components
s3db.add_components("pr_person",
pr_person_tag = ({"name": "organisation",
"joinby": "person_id",
"filterby": {"tag": "organisation"},
"multiple": False,
},
#{"name": "organisation_type",
# "joinby": "person_id",
# "filterby": {"tag": "organisation_type"},
# "multiple": False,
# },
#{"name": "items_details",
# "joinby": "person_id",
# "filterby": {"tag": "items_details"},
# "multiple": False,
# },
{"name": "skills_details",
"joinby": "person_id",
"filterby": {"tag": "skills_details"},
"multiple": False,
},
{"name": "delivery",
"joinby": "person_id",
"filterby": {"tag": "delivery"},
"multiple": False,
},
{"name": "availability",
"joinby": "person_id",
"filterby": {"tag": "availability"},
"multiple": False,
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
#organisation_type = components_get("organisation_type")
#f = organisation_type.table.value
#f.requires = IS_EMPTY_OR(IS_IN_SET([T("Business Donor"),
# T("Individual Donor"),
# T("Public Sector Organization"),
# T("Voluntary Sector Organization"),
# ]))
delivery = components_get("delivery")
f = delivery.table.value
f.requires = IS_EMPTY_OR(IS_IN_SET(("Y", "N")))
f.represent = lambda v: T("yes") if v == "Y" else T("no")
from s3 import S3TagCheckboxWidget
f.widget = S3TagCheckboxWidget(on="Y", off="N")
f.default = "N"
f.comment = T("Please indicate if you can deliver the item/s at no cost?")
get_vars_get = r.get_vars.get
has_role = current.auth.s3_has_role
if get_vars_get("donors") or \
has_role("DONOR", include_admin=False):
# Donor
stable = s3db.supply_person_item_status
status = current.db(stable.name == "Available").select(stable.id,
limitby = (0, 1)
).first()
if status:
s3db.supply_person_item.status_id.default = status.id
crud_fields = ["first_name",
"middle_name",
"last_name",
"date_of_birth",
(T("Gender"), "gender"),
(T("Name of Organization"), "organisation.value"),
#(T("Type of Organization"), "organisation_type.value"),
#S3SQLInlineLink("item",
# field = "item_id",
# label = T("Goods / Services"),
# ),
#(T("Details"), "items_details.value"),
S3SQLInlineComponent("person_item",
label = "",
fields = [(T("Goods / Services"), "item_id"),
(T("Details"), "comments"),
(T("Status"), "status_id"),
(T("Requested By"), "organisation_id"),
],
),
(T("Are you able to Deliver?"), "delivery.value"),
S3SQLInlineLink("location",
field = "location_id",
label = T("Where would you be willing to deliver?"),
),
(T("Please indicate if the offer is only available for a period of time (please state) or an open ended offer. Household items, such as furniture, are normally not required for some months but very gratefully received at the right time"), "availability.value"),
"comments",
]
elif get_vars_get("groups") or \
r.function == "group" or \
has_role("GROUP_ADMIN", include_admin=False):
# Group Admin
# Skills are recorded at the Group level
crud_fields = ["first_name",
"middle_name",
"last_name",
"date_of_birth",
(T("Gender"), "gender"),
"comments",
]
else:
# Individual Volunteer: Reserve or Organisation
crud_fields = ["first_name",
"middle_name",
"last_name",
"date_of_birth",
(T("Gender"), "gender"),
S3SQLInlineLink("skill",
field = "skill_id",
label = T("Volunteer Offer"),
),
(T("Skills Details"), "skills_details.value"),
S3SQLInlineLink("location",
field = "location_id",
label = T("Where would you be willing to operate?"),
),
"comments",
]
s3db.configure("pr_person",
crud_form = S3SQLCustomForm(*crud_fields),
)
settings.customise_pr_person_resource = customise_pr_person_resource
# -----------------------------------------------------------------------------
def affiliation_create_onaccept(form):
"""
If a RESERVE Volunteer is affiliated to an Organisation, update their user/roles accordingly
"""
auth = current.auth
db = current.db
s3db = current.s3db
human_resource_id = form.vars.get("id")
hrtable = s3db.hrm_human_resource
hr = db(hrtable.id == human_resource_id).select(hrtable.person_id,
hrtable.organisation_id,
limitby = (0, 1)
).first()
ptable = s3db.pr_person
putable = s3db.pr_person_user
query = (ptable.id == hr.person_id) & \
(ptable.pe_id == putable.pe_id)
link = db(query).select(putable.user_id,
limitby = (0, 1)
).first()
user_id = link.user_id
utable = db.auth_user
user = db(utable.id == user_id).select(utable.id,
utable.organisation_id,
limitby = (0, 1)
).first()
if not user.organisation_id:
user.update_record(organisation_id = hr.organisation_id)
gtable = db.auth_group
mtable = db.auth_membership
query = (mtable.user_id == user_id) & \
(mtable.group_id == gtable.id)
roles = db(query).select(gtable.uuid)
roles = [r.uuid for r in roles]
if "RESERVE" in roles:
auth.s3_withdraw_role(user_id, "RESERVE", for_pe=[])
auth.s3_assign_role(user_id, "VOLUNTEER")
# -----------------------------------------------------------------------------
def customise_pr_person_controller(**attr):
s3db = current.s3db
# Custom Component
s3db.add_components("pr_person",
hrm_human_resource = {"joinby": "person_id",
"multiple": False,
},
pr_group = {"link": "pr_group_membership",
"joinby": "person_id",
"key": "group_id",
"actuate": "replace",
"multiple": False,
},
)
# Custom Method
from templates.CCC.controllers import personAdditional
s3db.set_method("pr", "person",
method = "additional",
action = personAdditional)
s3 = current.response.s3
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
if r.component_name == "human_resource":
s3.crud_strings["hrm_human_resource"] = Storage(
label_create = T("New Affiliation"),
#title_display = T("Affiliation Details"),
#title_list = T("Affiliations"),
title_update = T("Edit Affiliation"),
#title_upload = T("Import Affiliations"),
#label_list_button = T("List Affiliations"),
label_delete_button = T("Delete Affiliation"),
msg_record_created = T("Affiliation added"),
msg_record_modified = T("Affiliation updated"),
msg_record_deleted = T("Affiliation deleted"),
#msg_list_empty = T("No Affiliations currently registered")
)
s3db.add_custom_callback("hrm_human_resource",
"onaccept",
affiliation_create_onaccept,
method = "create",
)
# Only needed if multiple=True
#list_fields = ["organisation_id",
# (T("Role"), "job_title.value"),
# "comments",
# ]
#r.component.configure(list_fields = list_fields)
elif r.component_name == "group_membership":
r.resource.components._components["group_membership"].configure(listadd = False,
list_fields = [(T("Name"), "group_id$name"),
"group_id$comments",
],
)
get_vars_get = r.get_vars.get
has_role = current.auth.s3_has_role
if get_vars_get("reserves") or \
has_role("RESERVE", include_admin=False):
# Reserve Volunteers
from s3 import FS, S3OptionsFilter, S3TextFilter
resource = r.resource
# Only include Reserves
db = current.db
mtable = db.auth_membership
gtable = db.auth_group
query = (gtable.uuid == "RESERVE") & \
(gtable.id == mtable.group_id)
reserves = db(query).select(mtable.user_id)
reserves = [m.user_id for m in reserves]
resource.add_filter(FS("user.id").belongs(reserves))
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
resource.configure(list_fields = ["first_name",
"middle_name",
"last_name",
(T("Skills"), "competency.skill_id"),
(T("Email"), "email.value"),
(T("Mobile Phone"), "phone.value"),
],
filter_widgets = [S3TextFilter(["first_name",
"middle_name",
"last_name",
"comments",
"competency.skill_id$name",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("person_location.location_id",
label = T("Locations Served"),
options = districts,
),
S3OptionsFilter("competency.skill_id",
),
],
)
s3.crud_strings[r.tablename] = Storage(
label_create = T("New Reserve Volunteer"),
title_display = T("Reserve Volunteer Details"),
title_list = T("Reserve Volunteers"),
title_update = T("Edit Reserve Volunteer"),
#title_upload = T("Import Reserve Volunteers"),
label_list_button = T("List Reserve Volunteers"),
label_delete_button = T("Delete Reserve Volunteer"),
msg_record_created = T("Reserve Volunteer added"),
msg_record_modified = T("Reserve Volunteer updated"),
msg_record_deleted = T("Reserve Volunteer deleted"),
msg_list_empty = T("No Reserve Volunteers currently registered")
)
elif get_vars_get("donors") or \
has_role("DONOR", include_admin=False):
# Donors
from s3 import FS, S3OptionsFilter, S3TextFilter
resource = r.resource
# Only include Donors
db = current.db
mtable = db.auth_membership
gtable = db.auth_group
query = (gtable.uuid == "DONOR") & \
(gtable.id == mtable.group_id)
donors = db(query).select(mtable.user_id)
donors = [d.user_id for d in donors]
resource.add_filter(FS("user.id").belongs(donors))
resource.configure(list_fields = [# @ToDo: Add Organisation freetext
"first_name",
"middle_name",
"last_name",
(T("Goods / Services"), "person_item.item_id"),
(T("Email"), "email.value"),
(T("Mobile Phone"), "phone.value"),
],
filter_widgets = [S3TextFilter(["first_name",
"middle_name",
"last_name",
"comments",
# @ToDo: Add Items
#"competency.skill_id$name",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("person_item.item_id",
),
],
)
s3.crud_strings[r.tablename] = Storage(
label_create = T("New Donor"),
title_display = T("Donor Details"),
title_list = T("Donors"),
title_update = T("Edit Donor"),
#title_upload = T("Import Donors"),
label_list_button = T("List Donors"),
label_delete_button = T("Delete Donor"),
msg_record_created = T("Donor added"),
msg_record_modified = T("Donor updated"),
msg_record_deleted = T("Donor deleted"),
msg_list_empty = T("No Donors currently registered")
)
elif get_vars_get("groups") or \
has_role("GROUP_ADMIN", include_admin=False):
# Group Members
s3.crud_strings[r.tablename] = Storage(
label_create = T("New Member"),
title_display = T("Member Details"),
title_list = T("Members"),
title_update = T("Edit Member"),
#title_upload = T("Import Members"),
label_list_button = T("List Members"),
label_delete_button = T("Delete Member"),
msg_record_created = T("Member added"),
msg_record_modified = T("Member updated"),
msg_record_deleted = T("Member deleted"),
msg_list_empty = T("No Members currently registered")
)
else:
# Organisation Volunteers
# (only used for hrm/person profile)
s3.crud_strings[r.tablename] = Storage(
label_create = T("New Volunteer"),
title_display = T("Volunteer Details"),
title_list = T("Volunteers"),
title_update = T("Edit Volunteer"),
#title_upload = T("Import Volunteers"),
label_list_button = T("List Volunteers"),
label_delete_button = T("Delete Volunteer"),
msg_record_created = T("Volunteer added"),
msg_record_modified = T("Volunteer updated"),
msg_record_deleted = T("Volunteer deleted"),
msg_list_empty = T("No Volunteers currently registered")
)
return result
s3.prep = prep
# Custom postp
standard_postp = s3.postp
def postp(r, output):
# Call standard postp
if callable(standard_postp):
output = standard_postp(r, output)
if not r.component:
# Include get_vars on Action Buttons to configure crud_form/crud_strings appropriately
from gluon import URL
from s3 import S3CRUD
read_url = URL(c="pr", f="person", args=["[id]", "read"],
vars = r.get_vars)
update_url = URL(c="pr", f="person", args=["[id]", "update"],
vars = r.get_vars)
S3CRUD.action_buttons(r,
read_url = read_url,
update_url = update_url,
)
return output
s3.postp = postp
# Hide the search box on component tabs, as confusing & not useful
attr["dtargs"] = {"dt_searching": False,
}
attr["rheader"] = ccc_rheader
return attr
settings.customise_pr_person_controller = customise_pr_person_controller
# -------------------------------------------------------------------------
def customise_pr_person_location_resource(r, tablename):
from gluon import IS_EMPTY_OR, IS_IN_SET
from s3 import S3Represent
s3db = current.s3db
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
f = s3db.pr_person_location.location_id
f.represent = S3Represent(options = districts)
f.requires = IS_EMPTY_OR(IS_IN_SET(districts))
f.widget = None
settings.customise_pr_person_location_resource = customise_pr_person_location_resource
# -------------------------------------------------------------------------
def project_task_create_onaccept(form):
"""
When a Task is created:
* Notify OrgAdmins
"""
from gluon import URL
from s3 import s3_fullname
form_vars_get = form.vars.get
task_id = form_vars_get("id")
# Lookup the Author details
db = current.db
s3db = current.s3db
ttable = s3db.project_task
otable = s3db.org_organisation
utable = db.auth_user
query = (ttable.id == task_id) & \
(ttable.created_by == utable.id)
user = db(query).select(utable.first_name,
utable.last_name,
utable.organisation_id,
limitby = (0, 1)
).first()
fullname = s3_fullname(user)
# Lookup the ORG_ADMINs
gtable = db.auth_group
mtable = db.auth_membership
query = (gtable.uuid == "ORG_ADMIN") & \
(gtable.id == mtable.group_id) & \
(mtable.user_id == utable.id) & \
(utable.organisation_id == user.organisation_id)
org_admins = db(query).select(utable.email)
# Construct Email message
system_name = settings.get_system_name_short()
subject = "%s: Message sent from %s" % \
(system_name,
fullname,
)
url = "%s%s" % (settings.get_base_public_url(),
URL(c="project", f="task", args=[task_id]))
message = "%s has sent you a Message on %s\n\nSubject: %s\nMessage: %s\n\nYou can view the message here: %s" % \
(fullname,
system_name,
form_vars_get("name"),
form_vars_get("description") or "",
url,
)
# Send message to each
send_email = current.msg.send_email
for admin in org_admins:
send_email(to = admin.email,
subject = subject,
message = message,
)
# -------------------------------------------------------------------------
def customise_project_task_resource(r, tablename):
from s3 import S3OptionsFilter, S3SQLCustomForm, S3TextFilter
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("New Message"),
title_display = T("Message Details"),
title_list = T("Messages"),
title_update = T("Edit Message"),
#title_upload = T("Import Messages"),
label_list_button = T("List Messages"),
label_delete_button = T("Delete Message"),
msg_record_created = T("Message added"),
msg_record_modified = T("Message updated"),
msg_record_deleted = T("Message deleted"),
msg_list_empty = T("No Messages currently created")
)
s3db = current.s3db
table = s3db.project_task
table.name.label = T("Subject")
table.description.label = T("Message")
if current.auth.s3_has_role("ORG_ADMIN"):
# @ToDo: Filter Assigned To to just OrgAdmins?
pass
else:
# f = table.priority
# f.default = 1
# f.readable = f.writable = False
# f = table.status
# f.default = 1
# f.readable = f.writable = False
# table.pe_id.readable = table.pe_id.writable = False
table.comments.readable = table.comments.writable = False
s3db.configure("project_task",
# Can simply replace the default one
create_onaccept = project_task_create_onaccept,
crud_form = S3SQLCustomForm("name",
"description",
#"priority",
#"status",
#"pe_id",
"comments",
),
list_fields = [#"priority",
#"status",
#"pe_id",
"created_by",
"name",
],
filter_widgets = [S3TextFilter(["name",
"description",
"comments",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
#S3OptionsFilter("priority",
# options = settings.get_project_task_priority_opts(),
# cols = 3,
# ),
#S3OptionsFilter("status",
# options = settings.get_project_task_status_opts(),
# cols = 3,
# ),
],
)
settings.customise_project_task_resource = customise_project_task_resource
# -----------------------------------------------------------------------------
def customise_project_task_controller(**attr):
if current.auth.s3_has_role("ORG_ADMIN"):
# @ToDo: Default filter to hide Closed messages (if we add Closed status)
table = current.s3db.project_task
table.name.writable = False
table.description.writable = False
else:
s3 = current.response.s3
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
if r.method not in ("create", "read", "update"):
from gluon import redirect
redirect(r.url(method="create"))
else:
s3.crud.submit_button = "Send" # T() Happens in s3forms.py
current.messages.UPDATE = "Edit"
# Don't attempt to load comments
s3.rfooter = None
return result
s3.prep = prep
# Custom postp
standard_postp = s3.postp
def postp(r, output):
# Call standard postp
if callable(standard_postp):
output = standard_postp(r, output)
if r.method == "read" and "buttons" in output:
output["buttons"].pop("list_btn")
return output
s3.postp = postp
attr["rheader"] = None
return attr
settings.customise_project_task_controller = customise_project_task_controller
# -------------------------------------------------------------------------
def req_need_organisation_onaccept(form):
"""
Set the realm of the parent req_need to that of the organisation
"""
db = current.db
s3db = current.s3db
rntable = s3db.req_need
otable = s3db.org_organisation
form_vars_get = form.vars.get
need_id = form_vars_get("need_id")
organisation_id = form_vars_get("organisation_id")
if not need_id or not organisation_id:
rnotable = s3db.req_need_organisation
record_id = form_vars_get("id")
record = db(rnotable.id == record_id).select(rnotable.need_id,
rnotable.organisation_id,
limitby = (0, 1),
).first()
need_id = record.need_id
organisation_id = record.organisation_id
org = db(otable.id == organisation_id).select(otable.pe_id,
limitby = (0, 1),
).first()
realm_entity = org.pe_id
db(rntable.id == need_id).update(realm_entity = realm_entity)
# -------------------------------------------------------------------------
def customise_req_need_resource(r, tablename):
from s3 import IS_ONE_OF, IS_UTC_DATETIME, S3CalendarWidget, S3DateTime, \
S3LocationSelector, S3SQLCustomForm, S3SQLInlineComponent, \
S3OptionsFilter, S3TextFilter, s3_comments_widget
s3db = current.s3db
# Filtered components
s3db.add_components("req_need",
req_need_tag = ({"name": "age_restrictions",
"joinby": "need_id",
"filterby": {"tag": "age_restrictions"},
"multiple": False,
},
{"name": "practical_info",
"joinby": "need_id",
"filterby": {"tag": "practical_info"},
"multiple": False,
},
{"name": "parking",
"joinby": "need_id",
"filterby": {"tag": "parking"},
"multiple": False,
},
{"name": "bring",
"joinby": "need_id",
"filterby": {"tag": "bring"},
"multiple": False,
},
),
)
# Individual settings for specific tag components
components_get = s3db.resource(tablename).components.get
practical_info = components_get("practical_info")
f = practical_info.table.value
f.widget = lambda f, v: \
s3_comments_widget(f, v, _placeholder = "including directions to location of the opportunity")
table = s3db.req_need
table.name.label = T("Title")
f = table.date
f.label = T("Start Date")
f.represent = lambda dt: S3DateTime.datetime_represent(dt, utc=True)
f.requires = IS_UTC_DATETIME()
f.widget = S3CalendarWidget(timepicker = True)
table.end_date.readable = table.end_date.writable = True
table.location_id.widget = S3LocationSelector(levels = ("L3"),
required_levels = ("L3"),
show_address = True)
current.response.s3.crud_strings[tablename] = Storage(
label_create = T("New Opportunity"),
title_display = T("Opportunity Details"),
title_list = T("Opportunities"),
title_update = T("Edit Opportunity"),
#title_upload = T("Import Opportunities"),
label_list_button = T("List Opportunities"),
label_delete_button = T("Delete Opportunity"),
msg_record_created = T("Opportunity added"),
msg_record_modified = T("Opportunity updated"),
msg_record_deleted = T("Opportunity deleted"),
msg_list_empty = T("No Opportunities currently registered")
)
person_id = s3db.req_need_contact.person_id
person_id.comment = None # No Create
filter_widgets = [S3TextFilter(["name",
"description",
"comments",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("location_id$L3",
label = T("District"),
),
S3OptionsFilter("need_skill.skill_id"),
]
list_fields = ["name",
"date",
"end_date",
"location_id",
"description",
"need_contact.person_id",
#(T("Phone"), "need_contact.person_id$phone.value"),
#(T("Email"), "need_contact.person_id$email.value"),
"need_skill.skill_id",
"need_skill.quantity",
]
auth = current.auth
if auth.s3_has_role("ADMIN"):
filter_widgets.insert(-1, S3OptionsFilter("need_organisation.organisation_id"))
list_fields.insert(0, "need_organisation.organisation_id")
else:
organisation_id = auth.user.organisation_id
f = s3db.req_need_organisation.organisation_id
f.default = organisation_id
# Needs to be in the form
#f.readable = f.writable = False
f.requires = s3db.org_organisation_requires(updateable=True)
f.comment = None # No Create
# Dropdown, not Autocomplete
person_id.widget = None
# Filtered to people affiliated with this Org
db = current.db
hrtable = s3db.hrm_human_resource
persons = db(hrtable.organisation_id == organisation_id).select(hrtable.person_id)
persons = [p.person_id for p in persons]
person_id.requires = IS_ONE_OF(db, "pr_person.id",
person_id.represent,
orderby = "pr_person.first_name",
sort = True,
filterby = "id",
filter_opts = persons,
)
s3db.configure("req_need",
# Needs a custom handler as default handler only supports default forms
#copyable = True,
crud_form = S3SQLCustomForm("name",
"need_organisation.organisation_id",
"date",
"end_date",
"location_id",
"description",
"need_contact.person_id",
S3SQLInlineComponent("need_skill",
label = "",
fields = ["skill_id",
"quantity",
],
multiple = False,
),
(T("Age Restrictions"), "age_restrictions.value"),
(T("Practical Information"), "practical_info.value"),
(T("Parking Options"), "parking.value"),
(T("What to Bring"), "bring.value"),
"comments",
),
filter_widgets = filter_widgets,
list_fields = list_fields,
)
s3db.configure("req_need_organisation",
onaccept = req_need_organisation_onaccept,
)
settings.customise_req_need_resource = customise_req_need_resource
# -----------------------------------------------------------------------------
def customise_req_need_controller(**attr):
s3 = current.response.s3
s3.crud.assign_button = "Invite"
# Custom prep
standard_prep = s3.prep
def prep(r):
# Call standard prep
if callable(standard_prep):
result = standard_prep(r)
else:
result = True
#if r.method == "read":
# # Show the Contact's Phone & Email
# # @ToDo: Do this only for Vols whose Application has been succesful
# # @ToDo: Create custom version of this which bypasses ACLs since
# # - Will fail for normal Vols as they can't see other Vols anyway
# # - Also failing for OrgAdmin as the user-added Phone is in the Personal PE not the Org's
# s3db = current.s3db
# s3db.req_need_contact.person_id.represent = s3db.pr_PersonRepresentContact(show_email = True,
# show_link = False,
# )
auth = current.auth
if auth.s3_has_role("RESERVE", include_admin=False):
# Filter to just those they are invited to
from s3 import FS
#table = s3db.req_need_person
#links = db(table.person_id == auth.s3_logged_in_person()).select(table.need_id)
#needs_invited = [l.need_id for l in links]
r.resource.add_filter(FS("need_person.person_id") == auth.s3_logged_in_person())
if not r.component:
from gluon import URL
r.resource.configure(create_next = URL(c="req", f="need",
args = ["[id]", "assign"]))
if r.method == "assign":
from s3 import S3OptionsFilter
s3db = current.s3db
# Filtered components
s3db.add_components("hrm_human_resource",
hrm_human_resource_tag = ({"name": "job_title",
"joinby": "human_resource_id",
"filterby": {"tag": "job_title"},
"multiple": False,
},
),
)
gtable = s3db.gis_location
districts = current.db((gtable.level == "L3") & (gtable.L2 == "Cumbria")).select(gtable.id,
gtable.name,
cache = s3db.cache)
districts = {d.id:d.name for d in districts}
filter_widgets = [S3OptionsFilter("human_resource.organisation_id"),
S3OptionsFilter("person_location.location_id",
label = T("Location"),
options = districts,
),
S3OptionsFilter("competency.skill_id"),
]
list_fields = ["id",
"first_name",
"last_name",
"human_resource.organisation_id",
(T("Role"), "human_resource.job_title.value"),
(T("Skills"), "competency.skill_id"),
]
s3db.set_method("req", "need",
method = "assign",
action = s3db.pr_AssignMethod(component = "need_person",
filter_widgets = filter_widgets,
list_fields = list_fields,
))
return result
s3.prep = prep
attr["rheader"] = ccc_rheader
return attr
settings.customise_req_need_controller = customise_req_need_controller
# -------------------------------------------------------------------------
def customise_req_need_person_resource(r, tablename):
current.response.s3.crud_labels["DELETE"] = "Remove"
s3db = current.s3db
s3db.req_need_person.person_id.represent = s3db.pr_PersonRepresent(show_link=True)
s3db.configure("req_need_person",
list_fields = ["person_id",
"person_id$human_resource.organisation_id",
"status",
"comments",
],
# Don't add people here (they are either invited or apply)
listadd = False,
)
settings.customise_req_need_person_resource = customise_req_need_person_resource
# -------------------------------------------------------------------------
def customise_supply_person_item_resource(r, tablename):
from s3 import S3SQLCustomForm, S3OptionsFilter, S3TextFilter
s3db = current.s3db
# Filtered components
s3db.add_components("pr_person",
pr_person_tag = ({"name": "organisation",
"joinby": "person_id",
"filterby": {"tag": "organisation"},
"multiple": False,
},
{"name": "delivery",
"joinby": "person_id",
"filterby": {"tag": "delivery"},
"multiple": False,
},
{"name": "availability",
"joinby": "person_id",
"filterby": {"tag": "availability"},
"multiple": False,
},
),
)
# No Hyperlink for Items (don't have permissions anyway)
s3db.supply_person_item.item_id.represent = s3db.supply_ItemRepresent()
current.response.s3.crud_strings[tablename] = Storage(
title_display = T("Donation Details"),
title_list = T("Donations"),
title_update = T("Edit Donation"),
label_list_button = T("List Donations"),
msg_record_modified = T("Donation updated"),
msg_list_empty = T("No Donations currently registered")
)
crud_form = S3SQLCustomForm((T("Goods / Service"), "item_id"),
(T("Details"), "comments"),
(T("Donor"), "person_id"),
"status_id",
(T("Requested By"), "organisation_id"),
)
filter_widgets = [S3TextFilter(["item_id$name",
"comments",
# Not working:
#"person_id$first_name",
#"person_id$last_name",
],
#formstyle = text_filter_formstyle,
label = "",
_placeholder = T("Search"),
),
S3OptionsFilter("status_id",
),
]
list_fields = [(T("Goods / Service"), "item_id"),
(T("Details"), "comments"),
(T("Donor"), "person_id"),
(T("Donor Organization"), "person_id$organisation.value"),
(T("Delivery"), "person_id$delivery.value"),
(T("Availability"), "person_id$availability.value"),
"status_id",
(T("Requested By"), "organisation_id"),
]
s3db.configure("supply_person_item",
crud_form = crud_form,
deletable = False,
insertable = False,
filter_widgets = filter_widgets,
list_fields = list_fields,
)
settings.customise_supply_person_item_resource = customise_supply_person_item_resource
# -----------------------------------------------------------------------------
def customise_supply_person_item_controller(**attr):
s3db = current.s3db
stable = s3db.supply_person_item_status
status = current.db(stable.name == "Available").select(stable.id,
limitby = (0, 1)
).first()
if status:
# Default Filter
from s3 import s3_set_default_filter
s3_set_default_filter("~.status_id",
status.id,
tablename = "supply_person_item")
if current.auth.s3_has_role("ORG_ADMIN"):
# Add Hyperlink for Donors
from gluon import URL
s3db.supply_person_item.person_id.represent = \
s3db.pr_PersonRepresentContact(linkto = URL(c="pr", f="person",
args = ["[id]"],
vars = {"donors": 1},
extension=""))
return attr
settings.customise_supply_person_item_controller = customise_supply_person_item_controller
# END =========================================================================
| 47.403092 | 288 | 0.396777 |
851e90dd1fdd9e76f494dac1f0636aee0b15bbab | 303 | py | Python | meridian/tst/acupoints/test_shouwuli333.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | 5 | 2015-12-14T15:14:23.000Z | 2022-02-09T10:15:33.000Z | meridian/tst/acupoints/test_shouwuli333.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | null | null | null | meridian/tst/acupoints/test_shouwuli333.py | sinotradition/meridian | 8c6c1762b204b72346be4bbfb74dedd792ae3024 | [
"Apache-2.0"
] | 3 | 2015-11-27T05:23:49.000Z | 2020-11-28T09:01:56.000Z | #!/usr/bin/python
#coding=utf-8
'''
@author: sheng
@license:
'''
import unittest
from meridian.acupoints import shouwuli333
class TestShouwuli333Functions(unittest.TestCase):
def setUp(self):
pass
def test_xxx(self):
pass
if __name__ == '__main__':
unittest.main()
| 12.12 | 50 | 0.666667 |
2569cd02e95696a61029108a1784799566a4e1ac | 1,639 | py | Python | core/auth/serializers/__init__.py | Nathan-E-White/DjangoBackend-ReactFrontend | 64528a5d42c6b25347114bf5519d311ef65a5547 | [
"Apache-2.0"
] | null | null | null | core/auth/serializers/__init__.py | Nathan-E-White/DjangoBackend-ReactFrontend | 64528a5d42c6b25347114bf5519d311ef65a5547 | [
"Apache-2.0"
] | 1 | 2021-10-13T07:55:16.000Z | 2021-10-13T07:55:16.000Z | core/auth/serializers/__init__.py | Nathan-E-White/DjangoBackend-ReactFrontend | 64528a5d42c6b25347114bf5519d311ef65a5547 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
"""
------------------------------------------------------------------------------------------------------------------------
____ __ __ __ __ __
/ __ \__ __/ /_/ /_ ____ ____ / / / /__ ____ _____/ /__ _____
____________ / /_/ / / / / __/ __ \/ __ \/ __ \ / /_/ / _ \/ __ `/ __ / _ \/ ___/ ____________
/_____/_____/ / ____/ /_/ / /_/ / / / /_/ / / / / / __ / __/ /_/ / /_/ / __/ / /_____/_____/
/_/ \__, /\__/_/ /_/\____/_/ /_/ /_/ /_/\___/\__,_/\__,_/\___/_/
/____/
------------------------------------------------------------------------------------------------------------------------
:FILE: DjangoBackend-ReactFrontend/core/auth/serializers/__init__.py
:AUTHOR: Nathan E White, PhD
:ABOUT: Initializer for the core.auth app serializers
------------------------------------------------------------------------------------------------------------------------
:NOTES: For more information on this file, see:
https://stackoverflow.com/questions/448271/what-is-init-py-for
------------------------------------------------------------------------------------------------------------------------
"""
# <BOF>
# Imports --- User Package Imports: Pulls in the serializers in the package into one place
from .register import RegisterSerializer
from .login import LoginSerializer
# ----------------------------------------------------------------------------------------------------------------------
# <EOF>
| 60.703704 | 121 | 0.320927 |
524e3eb0973112e5200295a66018fe7aed58e72d | 3,555 | py | Python | Chapter9/Chapter9_2.py | ZFhuang/DiveIntoDLSketches | cf0654d06ab6eeaefc35fa3bebd4937f1cbbb165 | [
"BSD-2-Clause"
] | null | null | null | Chapter9/Chapter9_2.py | ZFhuang/DiveIntoDLSketches | cf0654d06ab6eeaefc35fa3bebd4937f1cbbb165 | [
"BSD-2-Clause"
] | null | null | null | Chapter9/Chapter9_2.py | ZFhuang/DiveIntoDLSketches | cf0654d06ab6eeaefc35fa3bebd4937f1cbbb165 | [
"BSD-2-Clause"
] | null | null | null | # coding=utf-8
# 导入自己的函数包d2lzh_pytorch，注意要先将目标包的父路径添加到系统路径中
import sys
sys.path.append(r".")
from d2lzh_pytorch import data_process, plot, train, rnn
import torch
import time
import os
import torchvision
from PIL import Image
from torch import nn, optim
from torch.utils.data import Dataset, DataLoader
from torchvision.datasets import ImageFolder
from torchvision import transforms
from torchvision import models
"""
这一节介绍了如何利用简单的迁移学习来从一个泛化模型得到知识并应用到另外的问题上
"""
# 加上这个限定才能支持多线程读取
if __name__ == "__main__":
# 设置计算设备，让计算在GPU上进行
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
# 首先读取网上下载好的热狗数据集,这是第一次读取没有打包的数据集
data_dir=r'./Datasets'
# 文件夹中是trian和test两个子文件夹，子文件夹中是hotdogs和not-hotdogs两种分类
# print(os.listdir(os.path.join(data_dir, "Hotdog")))
# 这里用两个ImageFolder来读取两个文件夹中的文件
train_imgs = ImageFolder(os.path.join(data_dir, 'hotdog/train'))
test_imgs = ImageFolder(os.path.join(data_dir, 'hotdog/test'))
# 这里为了测试画出头8张图片
# hotdogs = [train_imgs[i][0] for i in range(8)]
# not_hotdogs = [train_imgs[-i - 1][0] for i in range(8)]
# plot.show_images(hotdogs + not_hotdogs, 2, 8, scale=1.4)
print('————————————————————————————')
# 然后开始对图像进行预处理(增广)，要注意如果是迁移学习的话，一定要保证源模型和目标
# 模型的输入有一样的预处理，最显然的就是缩放为相同的大小
# 这里的归一化是和torchvision的模型一样的归一化，参数可以在网上找到
normalize = transforms.Normalize(
mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
train_augs = transforms.Compose([
transforms.RandomResizedCrop(size=224),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
normalize
])
test_augs = transforms.Compose([
transforms.Resize(size=256),
transforms.CenterCrop(size=224),
transforms.ToTensor(),
normalize
])
# 然后从网上下载在ImageNet上训练好的ResNet18,也可以用这里的模型自己训练
pretrained_net = models.resnet18(pretrained=True)
# 打印最后的全连接层来测试模型是否正确下载，而且可以看到最后入512出1000类标签
print(pretrained_net.fc)
# 将最后的全连接层修改为符合热狗数据集的形式，512转2个输出,修改后会自动初始化参数
pretrained_net.fc = nn.Linear(512, 2)
# 然后由于迁移学习的特性，重点是训练最后的全连接输出层，因此这里要把最后全连接层的
# 学习率调大，然后其他层的学习率调低
# 提取出全连接层的参数，命名为其自己的id
output_params = list(map(id, pretrained_net.fc.parameters()))
# 从参数中提取出不是全连接层的参数项出来
feature_params = filter(lambda parameter_list: id(
parameter_list) not in output_params, pretrained_net.parameters())
lr = 0.01
# 选用sgd优化器，特点是普通参数用0.01的学习率，全连接层用10倍的学习率以关注于它
# weight_decay是防止过拟合的那个衰减项
optimizer = optim.SGD([
{'params': feature_params},
{'params': pretrained_net.fc.parameters(), 'lr': lr*10}
], lr=lr, weight_decay=0.001)
# 这里写一个训练函数接口函数
def train_fine_tuning(net, optimizer, batch_size=128, num_epochs=5):
train_iter = DataLoader(ImageFolder(os.path.join(
data_dir, 'hotdog/train'), transform=train_augs), batch_size, shuffle=True)
test_iter = DataLoader(ImageFolder(os.path.join(
data_dir, 'hotdog/test'), transform=test_augs), batch_size)
loss = torch.nn.CrossEntropyLoss()
# 调用之前写的通用训练函数来测试
train.train(train_iter, test_iter, net, loss,
optimizer, device, num_epochs)
# 对迁移模型进行训练并查看效果
train_fine_tuning(pretrained_net, optimizer)
# 对比没有迁移的模型训练，可以看到迁移模型的效果要比没有迁移直接训练的好很多
scratch_net = models.resnet18(pretrained=False, num_classes=2)
lr = 0.1
optimizer = optim.SGD(scratch_net.parameters(), lr=lr, weight_decay=0.001)
train_fine_tuning(scratch_net, optimizer)
print('————————————————————————————')
| 34.182692 | 87 | 0.695077 |
1001e598c51ec4fa28ad3bf7d517ffda0ebc8563 | 54,616 | py | Python | test/sql/test_operators.py | charlax/sqlalchemy | 6d0f734a3da78d213da0931531bbcfc781521ca7 | [
"MIT"
] | 1 | 2021-02-22T15:00:47.000Z | 2021-02-22T15:00:47.000Z | test/sql/test_operators.py | xqzhou/sqlalchemy | e21cd0d95fb6cdcb4e10ea78abd5626bb92c37c3 | [
"MIT"
] | null | null | null | test/sql/test_operators.py | xqzhou/sqlalchemy | e21cd0d95fb6cdcb4e10ea78abd5626bb92c37c3 | [
"MIT"
] | 1 | 2021-03-25T00:26:15.000Z | 2021-03-25T00:26:15.000Z | from sqlalchemy.testing import fixtures, eq_, is_
from sqlalchemy import testing
from sqlalchemy.testing import assert_raises_message
from sqlalchemy.sql import column, desc, asc, literal, collate, null, true, false
from sqlalchemy.sql.expression import BinaryExpression, \
ClauseList, Grouping, \
UnaryExpression, select, union, func, tuple_
from sqlalchemy.sql import operators, table
import operator
from sqlalchemy import String, Integer, LargeBinary
from sqlalchemy import exc
from sqlalchemy.engine import default
from sqlalchemy.sql.elements import _literal_as_text
from sqlalchemy.schema import Column, Table, MetaData
from sqlalchemy.types import TypeEngine, TypeDecorator, UserDefinedType, Boolean
from sqlalchemy.dialects import mysql, firebird, postgresql, oracle, \
sqlite, mssql
from sqlalchemy import util
import datetime
import collections
from sqlalchemy import text, literal_column
from sqlalchemy import and_, not_, between, or_
from sqlalchemy.sql import true, false, null
class LoopOperate(operators.ColumnOperators):
def operate(self, op, *other, **kwargs):
return op
class DefaultColumnComparatorTest(fixtures.TestBase):
def _do_scalar_test(self, operator, compare_to):
left = column('left')
assert left.comparator.operate(operator).compare(
compare_to(left)
)
self._loop_test(operator)
def _do_operate_test(self, operator, right=column('right')):
left = column('left')
assert left.comparator.operate(operator, right).compare(
BinaryExpression(_literal_as_text(left), _literal_as_text(right), operator)
)
assert operator(left, right).compare(
BinaryExpression(_literal_as_text(left), _literal_as_text(right), operator)
)
self._loop_test(operator, right)
def _loop_test(self, operator, *arg):
l = LoopOperate()
is_(
operator(l, *arg),
operator
)
def test_desc(self):
self._do_scalar_test(operators.desc_op, desc)
def test_asc(self):
self._do_scalar_test(operators.asc_op, asc)
def test_plus(self):
self._do_operate_test(operators.add)
def test_is_null(self):
self._do_operate_test(operators.is_, None)
def test_isnot_null(self):
self._do_operate_test(operators.isnot, None)
def test_is_null_const(self):
self._do_operate_test(operators.is_, null())
def test_is_true_const(self):
self._do_operate_test(operators.is_, true())
def test_is_false_const(self):
self._do_operate_test(operators.is_, false())
def test_equals_true(self):
self._do_operate_test(operators.eq, True)
def test_notequals_true(self):
self._do_operate_test(operators.ne, True)
def test_is_true(self):
self._do_operate_test(operators.is_, True)
def test_isnot_true(self):
self._do_operate_test(operators.isnot, True)
def test_is_false(self):
self._do_operate_test(operators.is_, False)
def test_isnot_false(self):
self._do_operate_test(operators.isnot, False)
def test_like(self):
self._do_operate_test(operators.like_op)
def test_notlike(self):
self._do_operate_test(operators.notlike_op)
def test_ilike(self):
self._do_operate_test(operators.ilike_op)
def test_notilike(self):
self._do_operate_test(operators.notilike_op)
def test_is(self):
self._do_operate_test(operators.is_)
def test_isnot(self):
self._do_operate_test(operators.isnot)
def test_no_getitem(self):
assert_raises_message(
NotImplementedError,
"Operator 'getitem' is not supported on this expression",
self._do_operate_test, operators.getitem
)
assert_raises_message(
NotImplementedError,
"Operator 'getitem' is not supported on this expression",
lambda: column('left')[3]
)
def test_in(self):
left = column('left')
assert left.comparator.operate(operators.in_op, [1, 2, 3]).compare(
BinaryExpression(
left,
Grouping(ClauseList(
literal(1), literal(2), literal(3)
)),
operators.in_op
)
)
self._loop_test(operators.in_op, [1, 2, 3])
def test_notin(self):
left = column('left')
assert left.comparator.operate(operators.notin_op, [1, 2, 3]).compare(
BinaryExpression(
left,
Grouping(ClauseList(
literal(1), literal(2), literal(3)
)),
operators.notin_op
)
)
self._loop_test(operators.notin_op, [1, 2, 3])
def test_in_no_accept_list_of_non_column_element(self):
left = column('left')
foo = ClauseList()
assert_raises_message(
exc.InvalidRequestError,
r"in_\(\) accepts either a list of expressions or a selectable:",
left.in_, [foo]
)
def test_in_no_accept_non_list_non_selectable(self):
left = column('left')
right = column('right')
assert_raises_message(
exc.InvalidRequestError,
r"in_\(\) accepts either a list of expressions or a selectable:",
left.in_, right
)
def test_in_no_accept_non_list_thing_with_getitem(self):
# test [ticket:2726]
class HasGetitem(String):
class comparator_factory(String.Comparator):
def __getitem__(self, value):
return value
left = column('left')
right = column('right', HasGetitem)
assert_raises_message(
exc.InvalidRequestError,
r"in_\(\) accepts either a list of expressions or a selectable:",
left.in_, right
)
def test_collate(self):
left = column('left')
right = "some collation"
left.comparator.operate(operators.collate, right).compare(
collate(left, right)
)
def test_concat(self):
self._do_operate_test(operators.concat_op)
class CustomUnaryOperatorTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
def _factorial_fixture(self):
class MyInteger(Integer):
class comparator_factory(Integer.Comparator):
def factorial(self):
return UnaryExpression(self.expr,
modifier=operators.custom_op("!"),
type_=MyInteger)
def factorial_prefix(self):
return UnaryExpression(self.expr,
operator=operators.custom_op("!!"),
type_=MyInteger)
return MyInteger
def test_factorial(self):
col = column('somecol', self._factorial_fixture())
self.assert_compile(
col.factorial(),
"somecol !"
)
def test_double_factorial(self):
col = column('somecol', self._factorial_fixture())
self.assert_compile(
col.factorial().factorial(),
"somecol ! !"
)
def test_factorial_prefix(self):
col = column('somecol', self._factorial_fixture())
self.assert_compile(
col.factorial_prefix(),
"!! somecol"
)
def test_unary_no_ops(self):
assert_raises_message(
exc.CompileError,
"Unary expression has no operator or modifier",
UnaryExpression(literal("x")).compile
)
def test_unary_both_ops(self):
assert_raises_message(
exc.CompileError,
"Unary expression does not support operator and "
"modifier simultaneously",
UnaryExpression(literal("x"),
operator=operators.custom_op("x"),
modifier=operators.custom_op("y")).compile
)
class _CustomComparatorTests(object):
def test_override_builtin(self):
c1 = Column('foo', self._add_override_factory())
self._assert_add_override(c1)
def test_column_proxy(self):
t = Table('t', MetaData(),
Column('foo', self._add_override_factory())
)
proxied = t.select().c.foo
self._assert_add_override(proxied)
def test_alias_proxy(self):
t = Table('t', MetaData(),
Column('foo', self._add_override_factory())
)
proxied = t.alias().c.foo
self._assert_add_override(proxied)
def test_binary_propagate(self):
c1 = Column('foo', self._add_override_factory())
self._assert_add_override(c1 - 6)
def test_reverse_binary_propagate(self):
c1 = Column('foo', self._add_override_factory())
self._assert_add_override(6 - c1)
def test_binary_multi_propagate(self):
c1 = Column('foo', self._add_override_factory())
self._assert_add_override((c1 - 6) + 5)
def test_no_boolean_propagate(self):
c1 = Column('foo', self._add_override_factory())
self._assert_not_add_override(c1 == 56)
def _assert_add_override(self, expr):
assert (expr + 5).compare(
expr.op("goofy")(5)
)
def _assert_not_add_override(self, expr):
assert not (expr + 5).compare(
expr.op("goofy")(5)
)
class CustomComparatorTest(_CustomComparatorTests, fixtures.TestBase):
def _add_override_factory(self):
class MyInteger(Integer):
class comparator_factory(TypeEngine.Comparator):
def __init__(self, expr):
self.expr = expr
def __add__(self, other):
return self.expr.op("goofy")(other)
return MyInteger
class TypeDecoratorComparatorTest(_CustomComparatorTests, fixtures.TestBase):
def _add_override_factory(self):
class MyInteger(TypeDecorator):
impl = Integer
class comparator_factory(TypeEngine.Comparator):
def __init__(self, expr):
self.expr = expr
def __add__(self, other):
return self.expr.op("goofy")(other)
return MyInteger
class CustomEmbeddedinTypeDecoratorTest(_CustomComparatorTests, fixtures.TestBase):
def _add_override_factory(self):
class MyInteger(Integer):
class comparator_factory(TypeEngine.Comparator):
def __init__(self, expr):
self.expr = expr
def __add__(self, other):
return self.expr.op("goofy")(other)
class MyDecInteger(TypeDecorator):
impl = MyInteger
return MyDecInteger
class NewOperatorTest(_CustomComparatorTests, fixtures.TestBase):
def _add_override_factory(self):
class MyInteger(Integer):
class comparator_factory(TypeEngine.Comparator):
def __init__(self, expr):
self.expr = expr
def foob(self, other):
return self.expr.op("foob")(other)
return MyInteger
def _assert_add_override(self, expr):
assert (expr.foob(5)).compare(
expr.op("foob")(5)
)
def _assert_not_add_override(self, expr):
assert not hasattr(expr, "foob")
class ExtensionOperatorTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
def test_contains(self):
class MyType(UserDefinedType):
class comparator_factory(UserDefinedType.Comparator):
def contains(self, other, **kw):
return self.op("->")(other)
self.assert_compile(
Column('x', MyType()).contains(5),
"x -> :x_1"
)
def test_getitem(self):
class MyType(UserDefinedType):
class comparator_factory(UserDefinedType.Comparator):
def __getitem__(self, index):
return self.op("->")(index)
self.assert_compile(
Column('x', MyType())[5],
"x -> :x_1"
)
def test_op_not_an_iterator(self):
# see [ticket:2726]
class MyType(UserDefinedType):
class comparator_factory(UserDefinedType.Comparator):
def __getitem__(self, index):
return self.op("->")(index)
col = Column('x', MyType())
assert not isinstance(col, collections.Iterable)
def test_lshift(self):
class MyType(UserDefinedType):
class comparator_factory(UserDefinedType.Comparator):
def __lshift__(self, other):
return self.op("->")(other)
self.assert_compile(
Column('x', MyType()) << 5,
"x -> :x_1"
)
def test_rshift(self):
class MyType(UserDefinedType):
class comparator_factory(UserDefinedType.Comparator):
def __rshift__(self, other):
return self.op("->")(other)
self.assert_compile(
Column('x', MyType()) >> 5,
"x -> :x_1"
)
class BooleanEvalTest(fixtures.TestBase, testing.AssertsCompiledSQL):
"""test standalone booleans being wrapped in an AsBoolean, as well
as true/false compilation."""
def _dialect(self, native_boolean):
d = default.DefaultDialect()
d.supports_native_boolean = native_boolean
return d
def test_one(self):
c = column('x', Boolean)
self.assert_compile(
select([c]).where(c),
"SELECT x WHERE x",
dialect=self._dialect(True)
)
def test_two(self):
c = column('x', Boolean)
self.assert_compile(
select([c]).where(c),
"SELECT x WHERE x = 1",
dialect=self._dialect(False)
)
def test_three(self):
c = column('x', Boolean)
self.assert_compile(
select([c]).where(~c),
"SELECT x WHERE x = 0",
dialect=self._dialect(False)
)
def test_four(self):
c = column('x', Boolean)
self.assert_compile(
select([c]).where(~c),
"SELECT x WHERE NOT x",
dialect=self._dialect(True)
)
def test_five(self):
c = column('x', Boolean)
self.assert_compile(
select([c]).having(c),
"SELECT x HAVING x = 1",
dialect=self._dialect(False)
)
def test_six(self):
self.assert_compile(
or_(false(), true()),
"1 = 1",
dialect=self._dialect(False)
)
def test_eight(self):
self.assert_compile(
and_(false(), true()),
"false",
dialect=self._dialect(True)
)
def test_nine(self):
self.assert_compile(
and_(false(), true()),
"0 = 1",
dialect=self._dialect(False)
)
def test_ten(self):
c = column('x', Boolean)
self.assert_compile(
c == 1,
"x = :x_1",
dialect=self._dialect(False)
)
def test_eleven(self):
c = column('x', Boolean)
self.assert_compile(
c.is_(true()),
"x IS true",
dialect=self._dialect(True)
)
def test_twelve(self):
c = column('x', Boolean)
# I don't have a solution for this one yet,
# other than adding some heavy-handed conditionals
# into compiler
self.assert_compile(
c.is_(true()),
"x IS 1",
dialect=self._dialect(False)
)
class ConjunctionTest(fixtures.TestBase, testing.AssertsCompiledSQL):
"""test interaction of and_()/or_() with boolean , null constants
"""
__dialect__ = default.DefaultDialect(supports_native_boolean=True)
def test_one(self):
self.assert_compile(~and_(true()), "false")
def test_two(self):
self.assert_compile(or_(~and_(true())), "false")
def test_three(self):
self.assert_compile(or_(and_()), "")
def test_four(self):
x = column('x')
self.assert_compile(
and_(or_(x == 5), or_(x == 7)),
"x = :x_1 AND x = :x_2")
def test_five(self):
x = column("x")
self.assert_compile(
and_(true()._ifnone(None), x == 7),
"x = :x_1"
)
def test_six(self):
x = column("x")
self.assert_compile(or_(true(), x == 7), "true")
self.assert_compile(or_(x == 7, true()), "true")
self.assert_compile(~or_(x == 7, true()), "false")
def test_six_pt_five(self):
x = column("x")
self.assert_compile(select([x]).where(or_(x == 7, true())),
"SELECT x WHERE true")
self.assert_compile(select([x]).where(or_(x == 7, true())),
"SELECT x WHERE 1 = 1",
dialect=default.DefaultDialect(supports_native_boolean=False))
def test_seven(self):
x = column("x")
self.assert_compile(
and_(true(), x == 7, true(), x == 9),
"x = :x_1 AND x = :x_2")
def test_eight(self):
x = column("x")
self.assert_compile(
or_(false(), x == 7, false(), x == 9),
"x = :x_1 OR x = :x_2")
def test_nine(self):
x = column("x")
self.assert_compile(
and_(x == 7, x == 9, false(), x == 5),
"false"
)
self.assert_compile(
~and_(x == 7, x == 9, false(), x == 5),
"true"
)
def test_ten(self):
self.assert_compile(
and_(None, None),
"NULL AND NULL"
)
def test_eleven(self):
x = column("x")
self.assert_compile(
select([x]).where(None).where(None),
"SELECT x WHERE NULL AND NULL"
)
def test_twelve(self):
x = column("x")
self.assert_compile(
select([x]).where(and_(None, None)),
"SELECT x WHERE NULL AND NULL"
)
def test_thirteen(self):
x = column("x")
self.assert_compile(
select([x]).where(~and_(None, None)),
"SELECT x WHERE NOT (NULL AND NULL)"
)
def test_fourteen(self):
x = column("x")
self.assert_compile(
select([x]).where(~null()),
"SELECT x WHERE NOT NULL"
)
class OperatorPrecedenceTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
column('name', String),
column('description', String),
)
table2 = table('op', column('field'))
def test_operator_precedence_1(self):
self.assert_compile(
self.table2.select((self.table2.c.field == 5) == None),
"SELECT op.field FROM op WHERE (op.field = :field_1) IS NULL")
def test_operator_precedence_2(self):
self.assert_compile(
self.table2.select(
(self.table2.c.field + 5) == self.table2.c.field),
"SELECT op.field FROM op WHERE op.field + :field_1 = op.field")
def test_operator_precedence_3(self):
self.assert_compile(
self.table2.select((self.table2.c.field + 5) * 6),
"SELECT op.field FROM op WHERE (op.field + :field_1) * :param_1")
def test_operator_precedence_4(self):
self.assert_compile(self.table2.select((self.table2.c.field * 5) + 6),
"SELECT op.field FROM op WHERE op.field * :field_1 + :param_1")
def test_operator_precedence_5(self):
self.assert_compile(self.table2.select(
5 + self.table2.c.field.in_([5, 6])),
"SELECT op.field FROM op WHERE :param_1 + "
"(op.field IN (:field_1, :field_2))")
def test_operator_precedence_6(self):
self.assert_compile(self.table2.select(
(5 + self.table2.c.field).in_([5, 6])),
"SELECT op.field FROM op WHERE :field_1 + op.field "
"IN (:param_1, :param_2)")
def test_operator_precedence_7(self):
self.assert_compile(self.table2.select(
not_(and_(self.table2.c.field == 5,
self.table2.c.field == 7))),
"SELECT op.field FROM op WHERE NOT "
"(op.field = :field_1 AND op.field = :field_2)")
def test_operator_precedence_8(self):
self.assert_compile(self.table2.select(not_(self.table2.c.field == 5)),
"SELECT op.field FROM op WHERE op.field != :field_1")
def test_operator_precedence_9(self):
self.assert_compile(self.table2.select(
not_(self.table2.c.field.between(5, 6))),
"SELECT op.field FROM op WHERE NOT "
"(op.field BETWEEN :field_1 AND :field_2)")
def test_operator_precedence_10(self):
self.assert_compile(self.table2.select(not_(self.table2.c.field) == 5),
"SELECT op.field FROM op WHERE (NOT op.field) = :param_1")
def test_operator_precedence_11(self):
self.assert_compile(self.table2.select(
(self.table2.c.field == self.table2.c.field).\
between(False, True)),
"SELECT op.field FROM op WHERE (op.field = op.field) "
"BETWEEN :param_1 AND :param_2")
def test_operator_precedence_12(self):
self.assert_compile(self.table2.select(
between((self.table2.c.field == self.table2.c.field),
False, True)),
"SELECT op.field FROM op WHERE (op.field = op.field) "
"BETWEEN :param_1 AND :param_2")
def test_operator_precedence_13(self):
self.assert_compile(self.table2.select(
self.table2.c.field.match(
self.table2.c.field).is_(None)),
"SELECT op.field FROM op WHERE (op.field MATCH op.field) IS NULL")
def test_operator_precedence_collate_1(self):
self.assert_compile(
self.table1.c.name == literal('foo').collate('utf-8'),
"mytable.name = (:param_1 COLLATE utf-8)"
)
def test_operator_precedence_collate_2(self):
self.assert_compile(
(self.table1.c.name == literal('foo')).collate('utf-8'),
"mytable.name = :param_1 COLLATE utf-8"
)
def test_operator_precedence_collate_3(self):
self.assert_compile(
self.table1.c.name.collate('utf-8') == 'foo',
"(mytable.name COLLATE utf-8) = :param_1"
)
def test_operator_precedence_collate_4(self):
self.assert_compile(
and_(
(self.table1.c.name == literal('foo')).collate('utf-8'),
(self.table2.c.field == literal('bar')).collate('utf-8'),
),
"mytable.name = :param_1 COLLATE utf-8 "
"AND op.field = :param_2 COLLATE utf-8"
)
def test_operator_precedence_collate_5(self):
self.assert_compile(
select([self.table1.c.name]).order_by(
self.table1.c.name.collate('utf-8').desc()),
"SELECT mytable.name FROM mytable "
"ORDER BY mytable.name COLLATE utf-8 DESC"
)
def test_operator_precedence_collate_6(self):
self.assert_compile(
select([self.table1.c.name]).order_by(
self.table1.c.name.collate('utf-8').desc().nullslast()),
"SELECT mytable.name FROM mytable "
"ORDER BY mytable.name COLLATE utf-8 DESC NULLS LAST"
)
def test_operator_precedence_collate_7(self):
self.assert_compile(
select([self.table1.c.name]).order_by(
self.table1.c.name.collate('utf-8').asc()),
"SELECT mytable.name FROM mytable "
"ORDER BY mytable.name COLLATE utf-8 ASC"
)
def test_commutative_operators(self):
self.assert_compile(
literal("a") + literal("b") * literal("c"),
":param_1 || :param_2 * :param_3"
)
def test_op_operators(self):
self.assert_compile(
self.table1.select(self.table1.c.myid.op('hoho')(12) == 14),
"SELECT mytable.myid, mytable.name, mytable.description FROM "
"mytable WHERE (mytable.myid hoho :myid_1) = :param_1"
)
def test_op_operators_comma_precedence(self):
self.assert_compile(
func.foo(self.table1.c.myid.op('hoho')(12)),
"foo(mytable.myid hoho :myid_1)"
)
def test_op_operators_comparison_precedence(self):
self.assert_compile(
self.table1.c.myid.op('hoho')(12) == 5,
"(mytable.myid hoho :myid_1) = :param_1"
)
def test_op_operators_custom_precedence(self):
op1 = self.table1.c.myid.op('hoho', precedence=5)
op2 = op1(5).op('lala', precedence=4)(4)
op3 = op1(5).op('lala', precedence=6)(4)
self.assert_compile(op2, "mytable.myid hoho :myid_1 lala :param_1")
self.assert_compile(op3, "(mytable.myid hoho :myid_1) lala :param_1")
class OperatorAssociativityTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
def test_associativity_1(self):
f = column('f')
self.assert_compile(f - f, "f - f")
def test_associativity_2(self):
f = column('f')
self.assert_compile(f - f - f, "(f - f) - f")
def test_associativity_3(self):
f = column('f')
self.assert_compile((f - f) - f, "(f - f) - f")
def test_associativity_4(self):
f = column('f')
self.assert_compile((f - f).label('foo') - f, "(f - f) - f")
def test_associativity_5(self):
f = column('f')
self.assert_compile(f - (f - f), "f - (f - f)")
def test_associativity_6(self):
f = column('f')
self.assert_compile(f - (f - f).label('foo'), "f - (f - f)")
def test_associativity_7(self):
f = column('f')
# because - less precedent than /
self.assert_compile(f / (f - f), "f / (f - f)")
def test_associativity_8(self):
f = column('f')
self.assert_compile(f / (f - f).label('foo'), "f / (f - f)")
def test_associativity_9(self):
f = column('f')
self.assert_compile(f / f - f, "f / f - f")
def test_associativity_10(self):
f = column('f')
self.assert_compile((f / f) - f, "f / f - f")
def test_associativity_11(self):
f = column('f')
self.assert_compile((f / f).label('foo') - f, "f / f - f")
def test_associativity_12(self):
f = column('f')
# because / more precedent than -
self.assert_compile(f - (f / f), "f - f / f")
def test_associativity_13(self):
f = column('f')
self.assert_compile(f - (f / f).label('foo'), "f - f / f")
def test_associativity_14(self):
f = column('f')
self.assert_compile(f - f / f, "f - f / f")
def test_associativity_15(self):
f = column('f')
self.assert_compile((f - f) / f, "(f - f) / f")
def test_associativity_16(self):
f = column('f')
self.assert_compile(((f - f) / f) - f, "(f - f) / f - f")
def test_associativity_17(self):
f = column('f')
# - lower precedence than /
self.assert_compile((f - f) / (f - f), "(f - f) / (f - f)")
def test_associativity_18(self):
f = column('f')
# / higher precedence than -
self.assert_compile((f / f) - (f / f), "f / f - f / f")
def test_associativity_19(self):
f = column('f')
self.assert_compile((f / f) - (f - f), "f / f - (f - f)")
def test_associativity_20(self):
f = column('f')
self.assert_compile((f / f) / (f - f), "(f / f) / (f - f)")
def test_associativity_21(self):
f = column('f')
self.assert_compile(f / (f / (f - f)), "f / (f / (f - f))")
class InTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
)
table2 = table(
'myothertable',
column('otherid', Integer),
column('othername', String)
)
def test_in_1(self):
self.assert_compile(self.table1.c.myid.in_(['a']),
"mytable.myid IN (:myid_1)")
def test_in_2(self):
self.assert_compile(~self.table1.c.myid.in_(['a']),
"mytable.myid NOT IN (:myid_1)")
def test_in_3(self):
self.assert_compile(self.table1.c.myid.in_(['a', 'b']),
"mytable.myid IN (:myid_1, :myid_2)")
def test_in_4(self):
self.assert_compile(self.table1.c.myid.in_(iter(['a', 'b'])),
"mytable.myid IN (:myid_1, :myid_2)")
def test_in_5(self):
self.assert_compile(self.table1.c.myid.in_([literal('a')]),
"mytable.myid IN (:param_1)")
def test_in_6(self):
self.assert_compile(self.table1.c.myid.in_([literal('a'), 'b']),
"mytable.myid IN (:param_1, :myid_1)")
def test_in_7(self):
self.assert_compile(
self.table1.c.myid.in_([literal('a'), literal('b')]),
"mytable.myid IN (:param_1, :param_2)")
def test_in_8(self):
self.assert_compile(self.table1.c.myid.in_(['a', literal('b')]),
"mytable.myid IN (:myid_1, :param_1)")
def test_in_9(self):
self.assert_compile(self.table1.c.myid.in_([literal(1) + 'a']),
"mytable.myid IN (:param_1 + :param_2)")
def test_in_10(self):
self.assert_compile(self.table1.c.myid.in_([literal('a') + 'a', 'b']),
"mytable.myid IN (:param_1 || :param_2, :myid_1)")
def test_in_11(self):
self.assert_compile(self.table1.c.myid.in_([literal('a') + \
literal('a'), literal('b')]),
"mytable.myid IN (:param_1 || :param_2, :param_3)")
def test_in_12(self):
self.assert_compile(self.table1.c.myid.in_([1, literal(3) + 4]),
"mytable.myid IN (:myid_1, :param_1 + :param_2)")
def test_in_13(self):
self.assert_compile(self.table1.c.myid.in_([literal('a') < 'b']),
"mytable.myid IN (:param_1 < :param_2)")
def test_in_14(self):
self.assert_compile(self.table1.c.myid.in_([self.table1.c.myid]),
"mytable.myid IN (mytable.myid)")
def test_in_15(self):
self.assert_compile(self.table1.c.myid.in_(['a', self.table1.c.myid]),
"mytable.myid IN (:myid_1, mytable.myid)")
def test_in_16(self):
self.assert_compile(self.table1.c.myid.in_([literal('a'),
self.table1.c.myid]),
"mytable.myid IN (:param_1, mytable.myid)")
def test_in_17(self):
self.assert_compile(self.table1.c.myid.in_([literal('a'), \
self.table1.c.myid + 'a']),
"mytable.myid IN (:param_1, mytable.myid + :myid_1)")
def test_in_18(self):
self.assert_compile(self.table1.c.myid.in_([literal(1), 'a' + \
self.table1.c.myid]),
"mytable.myid IN (:param_1, :myid_1 + mytable.myid)")
def test_in_19(self):
self.assert_compile(self.table1.c.myid.in_([1, 2, 3]),
"mytable.myid IN (:myid_1, :myid_2, :myid_3)")
def test_in_20(self):
self.assert_compile(self.table1.c.myid.in_(
select([self.table2.c.otherid])),
"mytable.myid IN (SELECT myothertable.otherid FROM myothertable)")
def test_in_21(self):
self.assert_compile(~self.table1.c.myid.in_(
select([self.table2.c.otherid])),
"mytable.myid NOT IN (SELECT myothertable.otherid FROM myothertable)")
def test_in_22(self):
self.assert_compile(
self.table1.c.myid.in_(
text("SELECT myothertable.otherid FROM myothertable")
),
"mytable.myid IN (SELECT myothertable.otherid "
"FROM myothertable)"
)
@testing.emits_warning('.*empty sequence.*')
def test_in_23(self):
self.assert_compile(self.table1.c.myid.in_([]),
"mytable.myid != mytable.myid")
def test_in_24(self):
self.assert_compile(
select([self.table1.c.myid.in_(select([self.table2.c.otherid]))]),
"SELECT mytable.myid IN (SELECT myothertable.otherid "
"FROM myothertable) AS anon_1 FROM mytable"
)
def test_in_25(self):
self.assert_compile(
select([self.table1.c.myid.in_(
select([self.table2.c.otherid]).as_scalar())]),
"SELECT mytable.myid IN (SELECT myothertable.otherid "
"FROM myothertable) AS anon_1 FROM mytable"
)
def test_in_26(self):
self.assert_compile(self.table1.c.myid.in_(
union(
select([self.table1.c.myid], self.table1.c.myid == 5),
select([self.table1.c.myid], self.table1.c.myid == 12),
)
), "mytable.myid IN ("\
"SELECT mytable.myid FROM mytable WHERE mytable.myid = :myid_1 "\
"UNION SELECT mytable.myid FROM mytable WHERE mytable.myid = :myid_2)")
def test_in_27(self):
# test that putting a select in an IN clause does not
# blow away its ORDER BY clause
self.assert_compile(
select([self.table1, self.table2],
self.table2.c.otherid.in_(
select([self.table2.c.otherid],
order_by=[self.table2.c.othername],
limit=10, correlate=False)
),
from_obj=[self.table1.join(self.table2,
self.table1.c.myid == self.table2.c.otherid)],
order_by=[self.table1.c.myid]
),
"SELECT mytable.myid, "
"myothertable.otherid, myothertable.othername FROM mytable "\
"JOIN myothertable ON mytable.myid = myothertable.otherid "
"WHERE myothertable.otherid IN (SELECT myothertable.otherid "\
"FROM myothertable ORDER BY myothertable.othername "
"LIMIT :param_1) ORDER BY mytable.myid",
{'param_1': 10}
)
def test_in_28(self):
self.assert_compile(
self.table1.c.myid.in_([None]),
"mytable.myid IN (NULL)"
)
@testing.emits_warning('.*empty sequence.*')
def test_in_29(self):
self.assert_compile(self.table1.c.myid.notin_([]),
"mytable.myid = mytable.myid")
@testing.emits_warning('.*empty sequence.*')
def test_in_30(self):
self.assert_compile(~self.table1.c.myid.in_([]),
"mytable.myid = mytable.myid")
class MathOperatorTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
)
def _test_math_op(self, py_op, sql_op):
for (lhs, rhs, res) in (
(5, self.table1.c.myid, ':myid_1 %s mytable.myid'),
(5, literal(5), ':param_1 %s :param_2'),
(self.table1.c.myid, 'b', 'mytable.myid %s :myid_1'),
(self.table1.c.myid, literal(2.7), 'mytable.myid %s :param_1'),
(self.table1.c.myid, self.table1.c.myid,
'mytable.myid %s mytable.myid'),
(literal(5), 8, ':param_1 %s :param_2'),
(literal(6), self.table1.c.myid, ':param_1 %s mytable.myid'),
(literal(7), literal(5.5), ':param_1 %s :param_2'),
):
self.assert_compile(py_op(lhs, rhs), res % sql_op)
def test_math_op_add(self):
self._test_math_op(operator.add, '+')
def test_math_op_mul(self):
self._test_math_op(operator.mul, '*')
def test_math_op_sub(self):
self._test_math_op(operator.sub, '-')
def test_math_op_div(self):
if util.py3k:
self._test_math_op(operator.truediv, '/')
else:
self._test_math_op(operator.div, '/')
class ComparisonOperatorTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
)
def test_pickle_operators_one(self):
clause = (self.table1.c.myid == 12) & \
self.table1.c.myid.between(15, 20) & \
self.table1.c.myid.like('hoho')
eq_(str(clause), str(util.pickle.loads(util.pickle.dumps(clause))))
def test_pickle_operators_two(self):
clause = tuple_(1, 2, 3)
eq_(str(clause), str(util.pickle.loads(util.pickle.dumps(clause))))
def _test_comparison_op(self, py_op, fwd_op, rev_op):
dt = datetime.datetime(2012, 5, 10, 15, 27, 18)
for (lhs, rhs, l_sql, r_sql) in (
('a', self.table1.c.myid, ':myid_1', 'mytable.myid'),
('a', literal('b'), ':param_2', ':param_1'), # note swap!
(self.table1.c.myid, 'b', 'mytable.myid', ':myid_1'),
(self.table1.c.myid, literal('b'), 'mytable.myid', ':param_1'),
(self.table1.c.myid, self.table1.c.myid,
'mytable.myid', 'mytable.myid'),
(literal('a'), 'b', ':param_1', ':param_2'),
(literal('a'), self.table1.c.myid, ':param_1', 'mytable.myid'),
(literal('a'), literal('b'), ':param_1', ':param_2'),
(dt, literal('b'), ':param_2', ':param_1'),
(literal('b'), dt, ':param_1', ':param_2'),
):
# the compiled clause should match either (e.g.):
# 'a' < 'b' -or- 'b' > 'a'.
compiled = str(py_op(lhs, rhs))
fwd_sql = "%s %s %s" % (l_sql, fwd_op, r_sql)
rev_sql = "%s %s %s" % (r_sql, rev_op, l_sql)
self.assert_(compiled == fwd_sql or compiled == rev_sql,
"\n'" + compiled + "'\n does not match\n'" +
fwd_sql + "'\n or\n'" + rev_sql + "'")
def test_comparison_operators_lt(self):
self._test_comparison_op(operator.lt, '<', '>'),
def test_comparison_operators_gt(self):
self._test_comparison_op(operator.gt, '>', '<')
def test_comparison_operators_eq(self):
self._test_comparison_op(operator.eq, '=', '=')
def test_comparison_operators_ne(self):
self._test_comparison_op(operator.ne, '!=', '!=')
def test_comparison_operators_le(self):
self._test_comparison_op(operator.le, '<=', '>=')
def test_comparison_operators_ge(self):
self._test_comparison_op(operator.ge, '>=', '<=')
class NonZeroTest(fixtures.TestBase):
def _raises(self, expr):
assert_raises_message(
TypeError,
"Boolean value of this clause is not defined",
bool, expr
)
def _assert_true(self, expr):
is_(bool(expr), True)
def _assert_false(self, expr):
is_(bool(expr), False)
def test_column_identity_eq(self):
c1 = column('c1')
self._assert_true(c1 == c1)
def test_column_identity_gt(self):
c1 = column('c1')
self._raises(c1 > c1)
def test_column_compare_eq(self):
c1, c2 = column('c1'), column('c2')
self._assert_false(c1 == c2)
def test_column_compare_gt(self):
c1, c2 = column('c1'), column('c2')
self._raises(c1 > c2)
def test_binary_identity_eq(self):
c1 = column('c1')
expr = c1 > 5
self._assert_true(expr == expr)
def test_labeled_binary_identity_eq(self):
c1 = column('c1')
expr = (c1 > 5).label(None)
self._assert_true(expr == expr)
def test_annotated_binary_identity_eq(self):
c1 = column('c1')
expr1 = (c1 > 5)
expr2 = expr1._annotate({"foo": "bar"})
self._assert_true(expr1 == expr2)
def test_labeled_binary_compare_gt(self):
c1 = column('c1')
expr1 = (c1 > 5).label(None)
expr2 = (c1 > 5).label(None)
self._assert_false(expr1 == expr2)
class NegationTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
column('name', String),
)
def test_negate_operators_1(self):
for (py_op, op) in (
(operator.neg, '-'),
(operator.inv, 'NOT '),
):
for expr, expected in (
(self.table1.c.myid, "mytable.myid"),
(literal("foo"), ":param_1"),
):
self.assert_compile(py_op(expr), "%s%s" % (op, expected))
def test_negate_operators_2(self):
self.assert_compile(
self.table1.select((self.table1.c.myid != 12) &
~(self.table1.c.name == 'john')),
"SELECT mytable.myid, mytable.name FROM "
"mytable WHERE mytable.myid != :myid_1 "
"AND mytable.name != :name_1"
)
def test_negate_operators_3(self):
self.assert_compile(
self.table1.select((self.table1.c.myid != 12) &
~(self.table1.c.name.between('jack', 'john'))),
"SELECT mytable.myid, mytable.name FROM "
"mytable WHERE mytable.myid != :myid_1 AND "\
"NOT (mytable.name BETWEEN :name_1 AND :name_2)"
)
def test_negate_operators_4(self):
self.assert_compile(
self.table1.select((self.table1.c.myid != 12) &
~and_(self.table1.c.name == 'john',
self.table1.c.name == 'ed',
self.table1.c.name == 'fred')),
"SELECT mytable.myid, mytable.name FROM "
"mytable WHERE mytable.myid != :myid_1 AND "\
"NOT (mytable.name = :name_1 AND mytable.name = :name_2 "
"AND mytable.name = :name_3)"
)
def test_negate_operators_5(self):
self.assert_compile(
self.table1.select((self.table1.c.myid != 12) & ~self.table1.c.name),
"SELECT mytable.myid, mytable.name FROM "
"mytable WHERE mytable.myid != :myid_1 AND NOT mytable.name"
)
class LikeTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
column('name', String),
)
def test_like_1(self):
self.assert_compile(
self.table1.c.myid.like('somstr'),
"mytable.myid LIKE :myid_1")
def test_like_2(self):
self.assert_compile(
~self.table1.c.myid.like('somstr'),
"mytable.myid NOT LIKE :myid_1")
def test_like_3(self):
self.assert_compile(
self.table1.c.myid.like('somstr', escape='\\'),
"mytable.myid LIKE :myid_1 ESCAPE '\\'")
def test_like_4(self):
self.assert_compile(
~self.table1.c.myid.like('somstr', escape='\\'),
"mytable.myid NOT LIKE :myid_1 ESCAPE '\\'")
def test_like_5(self):
self.assert_compile(
self.table1.c.myid.ilike('somstr', escape='\\'),
"lower(mytable.myid) LIKE lower(:myid_1) ESCAPE '\\'")
def test_like_6(self):
self.assert_compile(
~self.table1.c.myid.ilike('somstr', escape='\\'),
"lower(mytable.myid) NOT LIKE lower(:myid_1) ESCAPE '\\'")
def test_like_7(self):
self.assert_compile(
self.table1.c.myid.ilike('somstr', escape='\\'),
"mytable.myid ILIKE %(myid_1)s ESCAPE '\\\\'",
dialect=postgresql.dialect())
def test_like_8(self):
self.assert_compile(
~self.table1.c.myid.ilike('somstr', escape='\\'),
"mytable.myid NOT ILIKE %(myid_1)s ESCAPE '\\\\'",
dialect=postgresql.dialect())
def test_like_9(self):
self.assert_compile(
self.table1.c.name.ilike('%something%'),
"lower(mytable.name) LIKE lower(:name_1)")
def test_like_10(self):
self.assert_compile(
self.table1.c.name.ilike('%something%'),
"mytable.name ILIKE %(name_1)s",
dialect=postgresql.dialect())
def test_like_11(self):
self.assert_compile(
~self.table1.c.name.ilike('%something%'),
"lower(mytable.name) NOT LIKE lower(:name_1)")
def test_like_12(self):
self.assert_compile(
~self.table1.c.name.ilike('%something%'),
"mytable.name NOT ILIKE %(name_1)s",
dialect=postgresql.dialect())
class MatchTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
table1 = table('mytable',
column('myid', Integer),
column('name', String),
)
def test_match_1(self):
self.assert_compile(self.table1.c.myid.match('somstr'),
"mytable.myid MATCH ?",
dialect=sqlite.dialect())
def test_match_2(self):
self.assert_compile(self.table1.c.myid.match('somstr'),
"MATCH (mytable.myid) AGAINST (%s IN BOOLEAN MODE)",
dialect=mysql.dialect())
def test_match_3(self):
self.assert_compile(self.table1.c.myid.match('somstr'),
"CONTAINS (mytable.myid, :myid_1)",
dialect=mssql.dialect())
def test_match_4(self):
self.assert_compile(self.table1.c.myid.match('somstr'),
"mytable.myid @@ to_tsquery(%(myid_1)s)",
dialect=postgresql.dialect())
def test_match_5(self):
self.assert_compile(self.table1.c.myid.match('somstr'),
"CONTAINS (mytable.myid, :myid_1)",
dialect=oracle.dialect())
class ComposedLikeOperatorsTest(fixtures.TestBase, testing.AssertsCompiledSQL):
__dialect__ = 'default'
def test_contains(self):
self.assert_compile(
column('x').contains('y'),
"x LIKE '%%' || :x_1 || '%%'",
checkparams={'x_1': 'y'}
)
def test_contains_escape(self):
self.assert_compile(
column('x').contains('y', escape='\\'),
"x LIKE '%%' || :x_1 || '%%' ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_contains_literal(self):
self.assert_compile(
column('x').contains(literal_column('y')),
"x LIKE '%%' || y || '%%'",
checkparams={}
)
def test_contains_text(self):
self.assert_compile(
column('x').contains(text('y')),
"x LIKE '%%' || y || '%%'",
checkparams={}
)
def test_not_contains(self):
self.assert_compile(
~column('x').contains('y'),
"x NOT LIKE '%%' || :x_1 || '%%'",
checkparams={'x_1': 'y'}
)
def test_not_contains_escape(self):
self.assert_compile(
~column('x').contains('y', escape='\\'),
"x NOT LIKE '%%' || :x_1 || '%%' ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_contains_concat(self):
self.assert_compile(
column('x').contains('y'),
"x LIKE concat(concat('%%', %s), '%%')",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_not_contains_concat(self):
self.assert_compile(
~column('x').contains('y'),
"x NOT LIKE concat(concat('%%', %s), '%%')",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_contains_literal_concat(self):
self.assert_compile(
column('x').contains(literal_column('y')),
"x LIKE concat(concat('%%', y), '%%')",
checkparams={},
dialect=mysql.dialect()
)
def test_contains_text_concat(self):
self.assert_compile(
column('x').contains(text('y')),
"x LIKE concat(concat('%%', y), '%%')",
checkparams={},
dialect=mysql.dialect()
)
def test_startswith(self):
self.assert_compile(
column('x').startswith('y'),
"x LIKE :x_1 || '%%'",
checkparams={'x_1': 'y'}
)
def test_startswith_escape(self):
self.assert_compile(
column('x').startswith('y', escape='\\'),
"x LIKE :x_1 || '%%' ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_not_startswith(self):
self.assert_compile(
~column('x').startswith('y'),
"x NOT LIKE :x_1 || '%%'",
checkparams={'x_1': 'y'}
)
def test_not_startswith_escape(self):
self.assert_compile(
~column('x').startswith('y', escape='\\'),
"x NOT LIKE :x_1 || '%%' ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_startswith_literal(self):
self.assert_compile(
column('x').startswith(literal_column('y')),
"x LIKE y || '%%'",
checkparams={}
)
def test_startswith_text(self):
self.assert_compile(
column('x').startswith(text('y')),
"x LIKE y || '%%'",
checkparams={}
)
def test_startswith_concat(self):
self.assert_compile(
column('x').startswith('y'),
"x LIKE concat(%s, '%%')",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_not_startswith_concat(self):
self.assert_compile(
~column('x').startswith('y'),
"x NOT LIKE concat(%s, '%%')",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_startswith_firebird(self):
self.assert_compile(
column('x').startswith('y'),
"x STARTING WITH :x_1",
checkparams={'x_1': 'y'},
dialect=firebird.dialect()
)
def test_not_startswith_firebird(self):
self.assert_compile(
~column('x').startswith('y'),
"x NOT STARTING WITH :x_1",
checkparams={'x_1': 'y'},
dialect=firebird.dialect()
)
def test_startswith_literal_mysql(self):
self.assert_compile(
column('x').startswith(literal_column('y')),
"x LIKE concat(y, '%%')",
checkparams={},
dialect=mysql.dialect()
)
def test_startswith_text_mysql(self):
self.assert_compile(
column('x').startswith(text('y')),
"x LIKE concat(y, '%%')",
checkparams={},
dialect=mysql.dialect()
)
def test_endswith(self):
self.assert_compile(
column('x').endswith('y'),
"x LIKE '%%' || :x_1",
checkparams={'x_1': 'y'}
)
def test_endswith_escape(self):
self.assert_compile(
column('x').endswith('y', escape='\\'),
"x LIKE '%%' || :x_1 ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_not_endswith(self):
self.assert_compile(
~column('x').endswith('y'),
"x NOT LIKE '%%' || :x_1",
checkparams={'x_1': 'y'}
)
def test_not_endswith_escape(self):
self.assert_compile(
~column('x').endswith('y', escape='\\'),
"x NOT LIKE '%%' || :x_1 ESCAPE '\\'",
checkparams={'x_1': 'y'}
)
def test_endswith_literal(self):
self.assert_compile(
column('x').endswith(literal_column('y')),
"x LIKE '%%' || y",
checkparams={}
)
def test_endswith_text(self):
self.assert_compile(
column('x').endswith(text('y')),
"x LIKE '%%' || y",
checkparams={}
)
def test_endswith_mysql(self):
self.assert_compile(
column('x').endswith('y'),
"x LIKE concat('%%', %s)",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_not_endswith_mysql(self):
self.assert_compile(
~column('x').endswith('y'),
"x NOT LIKE concat('%%', %s)",
checkparams={'x_1': 'y'},
dialect=mysql.dialect()
)
def test_endswith_literal_mysql(self):
self.assert_compile(
column('x').endswith(literal_column('y')),
"x LIKE concat('%%', y)",
checkparams={},
dialect=mysql.dialect()
)
def test_endswith_text_mysql(self):
self.assert_compile(
column('x').endswith(text('y')),
"x LIKE concat('%%', y)",
checkparams={},
dialect=mysql.dialect()
)
class CustomOpTest(fixtures.TestBase):
def test_is_comparison(self):
c = column('x')
c2 = column('y')
op1 = c.op('$', is_comparison=True)(c2).operator
op2 = c.op('$', is_comparison=False)(c2).operator
assert operators.is_comparison(op1)
assert not operators.is_comparison(op2)
class TupleTypingTest(fixtures.TestBase):
def _assert_types(self, expr):
eq_(expr.clauses[0].type._type_affinity, Integer)
eq_(expr.clauses[1].type._type_affinity, String)
eq_(expr.clauses[2].type._type_affinity, LargeBinary()._type_affinity)
def test_type_coersion_on_eq(self):
a, b, c = column('a', Integer), column('b', String), column('c', LargeBinary)
t1 = tuple_(a, b, c)
expr = t1 == (3, 'hi', 'there')
self._assert_types(expr.right)
def test_type_coersion_on_in(self):
a, b, c = column('a', Integer), column('b', String), column('c', LargeBinary)
t1 = tuple_(a, b, c)
expr = t1.in_([(3, 'hi', 'there'), (4, 'Q', 'P')])
eq_(len(expr.right.clauses), 2)
for elem in expr.right.clauses:
self._assert_types(elem)
| 33.080557 | 87 | 0.554837 |
e9bb72be124d35aae00a25c31b24b4e3fbd848e2 | 18,835 | py | Python | pandas/tests/io/parser/usecols.py | zhezherun/pandas | 36c1104b7ad9761e020f7e8198eb60da4045d169 | [
"BSD-3-Clause"
] | 1 | 2018-11-11T22:18:13.000Z | 2018-11-11T22:18:13.000Z | pandas/tests/io/parser/usecols.py | zhezherun/pandas | 36c1104b7ad9761e020f7e8198eb60da4045d169 | [
"BSD-3-Clause"
] | null | null | null | pandas/tests/io/parser/usecols.py | zhezherun/pandas | 36c1104b7ad9761e020f7e8198eb60da4045d169 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tests the usecols functionality during parsing
for all of the parsers defined in parsers.py
"""
import numpy as np
import pytest
from pandas._libs.tslib import Timestamp
from pandas.compat import StringIO
from pandas import DataFrame, Index
import pandas.util.testing as tm
class UsecolsTests(object):
msg_validate_usecols_arg = ("'usecols' must either be list-like of all "
"strings, all unicode, all integers or a "
"callable.")
msg_validate_usecols_names = ("Usecols do not match columns, columns "
"expected but not found: {0}")
def test_raise_on_mixed_dtype_usecols(self):
# See gh-12678
data = """a,b,c
1000,2000,3000
4000,5000,6000
"""
usecols = [0, 'b', 2]
with pytest.raises(ValueError, match=self.msg_validate_usecols_arg):
self.read_csv(StringIO(data), usecols=usecols)
def test_usecols(self):
data = """\
a,b,c
1,2,3
4,5,6
7,8,9
10,11,12"""
result = self.read_csv(StringIO(data), usecols=(1, 2))
result2 = self.read_csv(StringIO(data), usecols=('b', 'c'))
exp = self.read_csv(StringIO(data))
assert len(result.columns) == 2
assert (result['b'] == exp['b']).all()
assert (result['c'] == exp['c']).all()
tm.assert_frame_equal(result, result2)
result = self.read_csv(StringIO(data), usecols=[1, 2], header=0,
names=['foo', 'bar'])
expected = self.read_csv(StringIO(data), usecols=[1, 2])
expected.columns = ['foo', 'bar']
tm.assert_frame_equal(result, expected)
data = """\
1,2,3
4,5,6
7,8,9
10,11,12"""
result = self.read_csv(StringIO(data), names=['b', 'c'],
header=None, usecols=[1, 2])
expected = self.read_csv(StringIO(data), names=['a', 'b', 'c'],
header=None)
expected = expected[['b', 'c']]
tm.assert_frame_equal(result, expected)
result2 = self.read_csv(StringIO(data), names=['a', 'b', 'c'],
header=None, usecols=['b', 'c'])
tm.assert_frame_equal(result2, result)
# see gh-5766
result = self.read_csv(StringIO(data), names=['a', 'b'],
header=None, usecols=[0, 1])
expected = self.read_csv(StringIO(data), names=['a', 'b', 'c'],
header=None)
expected = expected[['a', 'b']]
tm.assert_frame_equal(result, expected)
# length conflict, passed names and usecols disagree
pytest.raises(ValueError, self.read_csv, StringIO(data),
names=['a', 'b'], usecols=[1], header=None)
def test_usecols_single_string(self):
# GH 20558
data = """foo, bar, baz
1000, 2000, 3000
4000, 5000, 6000
"""
usecols = 'foo'
with pytest.raises(ValueError, match=self.msg_validate_usecols_arg):
self.read_csv(StringIO(data), usecols=usecols)
def test_usecols_index_col_False(self):
# see gh-9082
s = "a,b,c,d\n1,2,3,4\n5,6,7,8"
s_malformed = "a,b,c,d\n1,2,3,4,\n5,6,7,8,"
cols = ['a', 'c', 'd']
expected = DataFrame({'a': [1, 5], 'c': [3, 7], 'd': [4, 8]})
df = self.read_csv(StringIO(s), usecols=cols, index_col=False)
tm.assert_frame_equal(expected, df)
df = self.read_csv(StringIO(s_malformed),
usecols=cols, index_col=False)
tm.assert_frame_equal(expected, df)
def test_usecols_index_col_conflict(self):
# see gh-4201: test that index_col as integer reflects usecols
data = 'a,b,c,d\nA,a,1,one\nB,b,2,two'
expected = DataFrame({'c': [1, 2]}, index=Index(
['a', 'b'], name='b'))
df = self.read_csv(StringIO(data), usecols=['b', 'c'],
index_col=0)
tm.assert_frame_equal(expected, df)
df = self.read_csv(StringIO(data), usecols=['b', 'c'],
index_col='b')
tm.assert_frame_equal(expected, df)
df = self.read_csv(StringIO(data), usecols=[1, 2],
index_col='b')
tm.assert_frame_equal(expected, df)
df = self.read_csv(StringIO(data), usecols=[1, 2],
index_col=0)
tm.assert_frame_equal(expected, df)
expected = DataFrame(
{'b': ['a', 'b'], 'c': [1, 2], 'd': ('one', 'two')})
expected = expected.set_index(['b', 'c'])
df = self.read_csv(StringIO(data), usecols=['b', 'c', 'd'],
index_col=['b', 'c'])
tm.assert_frame_equal(expected, df)
def test_usecols_implicit_index_col(self):
# see gh-2654
data = 'a,b,c\n4,apple,bat,5.7\n8,orange,cow,10'
result = self.read_csv(StringIO(data), usecols=['a', 'b'])
expected = DataFrame({'a': ['apple', 'orange'],
'b': ['bat', 'cow']}, index=[4, 8])
tm.assert_frame_equal(result, expected)
def test_usecols_regex_sep(self):
# see gh-2733
data = 'a b c\n4 apple bat 5.7\n8 orange cow 10'
df = self.read_csv(StringIO(data), sep=r'\s+', usecols=('a', 'b'))
expected = DataFrame({'a': ['apple', 'orange'],
'b': ['bat', 'cow']}, index=[4, 8])
tm.assert_frame_equal(df, expected)
def test_usecols_with_whitespace(self):
data = 'a b c\n4 apple bat 5.7\n8 orange cow 10'
result = self.read_csv(StringIO(data), delim_whitespace=True,
usecols=('a', 'b'))
expected = DataFrame({'a': ['apple', 'orange'],
'b': ['bat', 'cow']}, index=[4, 8])
tm.assert_frame_equal(result, expected)
def test_usecols_with_integer_like_header(self):
data = """2,0,1
1000,2000,3000
4000,5000,6000
"""
usecols = [0, 1] # column selection by index
expected = DataFrame(data=[[1000, 2000],
[4000, 5000]],
columns=['2', '0'])
df = self.read_csv(StringIO(data), usecols=usecols)
tm.assert_frame_equal(df, expected)
usecols = ['0', '1'] # column selection by name
expected = DataFrame(data=[[2000, 3000],
[5000, 6000]],
columns=['0', '1'])
df = self.read_csv(StringIO(data), usecols=usecols)
tm.assert_frame_equal(df, expected)
def test_usecols_with_parse_dates(self):
# See gh-9755
s = """a,b,c,d,e
0,1,20140101,0900,4
0,1,20140102,1000,4"""
parse_dates = [[1, 2]]
cols = {
'a': [0, 0],
'c_d': [
Timestamp('2014-01-01 09:00:00'),
Timestamp('2014-01-02 10:00:00')
]
}
expected = DataFrame(cols, columns=['c_d', 'a'])
df = self.read_csv(StringIO(s), usecols=[0, 2, 3],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
df = self.read_csv(StringIO(s), usecols=[3, 0, 2],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
# See gh-13604
s = """2008-02-07 09:40,1032.43
2008-02-07 09:50,1042.54
2008-02-07 10:00,1051.65
"""
parse_dates = [0]
names = ['date', 'values']
usecols = names[:]
index = Index([Timestamp('2008-02-07 09:40'),
Timestamp('2008-02-07 09:50'),
Timestamp('2008-02-07 10:00')],
name='date')
cols = {'values': [1032.43, 1042.54, 1051.65]}
expected = DataFrame(cols, index=index)
df = self.read_csv(StringIO(s), parse_dates=parse_dates, index_col=0,
usecols=usecols, header=None, names=names)
tm.assert_frame_equal(df, expected)
# See gh-14792
s = """a,b,c,d,e,f,g,h,i,j
2016/09/21,1,1,2,3,4,5,6,7,8"""
parse_dates = [0]
usecols = list('abcdefghij')
cols = {'a': Timestamp('2016-09-21'),
'b': [1], 'c': [1], 'd': [2],
'e': [3], 'f': [4], 'g': [5],
'h': [6], 'i': [7], 'j': [8]}
expected = DataFrame(cols, columns=usecols)
df = self.read_csv(StringIO(s), usecols=usecols,
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
s = """a,b,c,d,e,f,g,h,i,j\n2016/09/21,1,1,2,3,4,5,6,7,8"""
parse_dates = [[0, 1]]
usecols = list('abcdefghij')
cols = {'a_b': '2016/09/21 1',
'c': [1], 'd': [2], 'e': [3], 'f': [4],
'g': [5], 'h': [6], 'i': [7], 'j': [8]}
expected = DataFrame(cols, columns=['a_b'] + list('cdefghij'))
df = self.read_csv(StringIO(s), usecols=usecols,
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
def test_usecols_with_parse_dates_and_full_names(self):
# See gh-9755
s = """0,1,20140101,0900,4
0,1,20140102,1000,4"""
parse_dates = [[1, 2]]
names = list('abcde')
cols = {
'a': [0, 0],
'c_d': [
Timestamp('2014-01-01 09:00:00'),
Timestamp('2014-01-02 10:00:00')
]
}
expected = DataFrame(cols, columns=['c_d', 'a'])
df = self.read_csv(StringIO(s), names=names,
usecols=[0, 2, 3],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
df = self.read_csv(StringIO(s), names=names,
usecols=[3, 0, 2],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
def test_usecols_with_parse_dates_and_usecol_names(self):
# See gh-9755
s = """0,1,20140101,0900,4
0,1,20140102,1000,4"""
parse_dates = [[1, 2]]
names = list('acd')
cols = {
'a': [0, 0],
'c_d': [
Timestamp('2014-01-01 09:00:00'),
Timestamp('2014-01-02 10:00:00')
]
}
expected = DataFrame(cols, columns=['c_d', 'a'])
df = self.read_csv(StringIO(s), names=names,
usecols=[0, 2, 3],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
df = self.read_csv(StringIO(s), names=names,
usecols=[3, 0, 2],
parse_dates=parse_dates)
tm.assert_frame_equal(df, expected)
def test_usecols_with_unicode_strings(self):
# see gh-13219
s = '''AAA,BBB,CCC,DDD
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data = {
'AAA': {
0: 0.056674972999999997,
1: 2.6132309819999997,
2: 3.5689350380000002
},
'BBB': {0: 8, 1: 2, 2: 7}
}
expected = DataFrame(data)
df = self.read_csv(StringIO(s), usecols=[u'AAA', u'BBB'])
tm.assert_frame_equal(df, expected)
def test_usecols_with_single_byte_unicode_strings(self):
# see gh-13219
s = '''A,B,C,D
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data = {
'A': {
0: 0.056674972999999997,
1: 2.6132309819999997,
2: 3.5689350380000002
},
'B': {0: 8, 1: 2, 2: 7}
}
expected = DataFrame(data)
df = self.read_csv(StringIO(s), usecols=[u'A', u'B'])
tm.assert_frame_equal(df, expected)
def test_usecols_with_mixed_encoding_strings(self):
s = '''AAA,BBB,CCC,DDD
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
with pytest.raises(ValueError, match=self.msg_validate_usecols_arg):
self.read_csv(StringIO(s), usecols=[u'AAA', b'BBB'])
with pytest.raises(ValueError, match=self.msg_validate_usecols_arg):
self.read_csv(StringIO(s), usecols=[b'AAA', u'BBB'])
def test_usecols_with_multibyte_characters(self):
s = '''あああ,いい,ううう,ええええ
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data = {
'あああ': {
0: 0.056674972999999997,
1: 2.6132309819999997,
2: 3.5689350380000002
},
'いい': {0: 8, 1: 2, 2: 7}
}
expected = DataFrame(data)
df = self.read_csv(StringIO(s), usecols=['あああ', 'いい'])
tm.assert_frame_equal(df, expected)
def test_usecols_with_multibyte_unicode_characters(self):
pytest.skip('TODO: see gh-13253')
s = '''あああ,いい,ううう,ええええ
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data = {
'あああ': {
0: 0.056674972999999997,
1: 2.6132309819999997,
2: 3.5689350380000002
},
'いい': {0: 8, 1: 2, 2: 7}
}
expected = DataFrame(data)
df = self.read_csv(StringIO(s), usecols=[u'あああ', u'いい'])
tm.assert_frame_equal(df, expected)
def test_empty_usecols(self):
# should not raise
data = 'a,b,c\n1,2,3\n4,5,6'
expected = DataFrame()
result = self.read_csv(StringIO(data), usecols=set())
tm.assert_frame_equal(result, expected)
def test_np_array_usecols(self):
# See gh-12546
data = 'a,b,c\n1,2,3'
usecols = np.array(['a', 'b'])
expected = DataFrame([[1, 2]], columns=usecols)
result = self.read_csv(StringIO(data), usecols=usecols)
tm.assert_frame_equal(result, expected)
def test_callable_usecols(self):
# See gh-14154
s = '''AaA,bBb,CCC,ddd
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data = {
'AaA': {
0: 0.056674972999999997,
1: 2.6132309819999997,
2: 3.5689350380000002
},
'bBb': {0: 8, 1: 2, 2: 7},
'ddd': {0: 'a', 1: 'b', 2: 'a'}
}
expected = DataFrame(data)
df = self.read_csv(StringIO(s), usecols=lambda x:
x.upper() in ['AAA', 'BBB', 'DDD'])
tm.assert_frame_equal(df, expected)
# Check that a callable returning only False returns
# an empty DataFrame
expected = DataFrame()
df = self.read_csv(StringIO(s), usecols=lambda x: False)
tm.assert_frame_equal(df, expected)
def test_incomplete_first_row(self):
# see gh-6710
data = '1,2\n1,2,3'
names = ['a', 'b', 'c']
expected = DataFrame({'a': [1, 1],
'c': [np.nan, 3]})
usecols = ['a', 'c']
df = self.read_csv(StringIO(data), names=names, usecols=usecols)
tm.assert_frame_equal(df, expected)
usecols = lambda x: x in ['a', 'c']
df = self.read_csv(StringIO(data), names=names, usecols=usecols)
tm.assert_frame_equal(df, expected)
def test_uneven_length_cols(self):
# see gh-8985
usecols = [0, 1, 2]
data = '19,29,39\n' * 2 + '10,20,30,40'
expected = DataFrame([[19, 29, 39],
[19, 29, 39],
[10, 20, 30]])
df = self.read_csv(StringIO(data), header=None, usecols=usecols)
tm.assert_frame_equal(df, expected)
# see gh-9549
usecols = ['A', 'B', 'C']
data = ('A,B,C\n1,2,3\n3,4,5\n1,2,4,5,1,6\n'
'1,2,3,,,1,\n1,2,3\n5,6,7')
expected = DataFrame({'A': [1, 3, 1, 1, 1, 5],
'B': [2, 4, 2, 2, 2, 6],
'C': [3, 5, 4, 3, 3, 7]})
df = self.read_csv(StringIO(data), usecols=usecols)
tm.assert_frame_equal(df, expected)
def test_raise_on_usecols_names_mismatch(self):
# GH 14671
data = 'a,b,c,d\n1,2,3,4\n5,6,7,8'
usecols = ['a', 'b', 'c', 'd']
df = self.read_csv(StringIO(data), usecols=usecols)
expected = DataFrame({'a': [1, 5], 'b': [2, 6], 'c': [3, 7],
'd': [4, 8]})
tm.assert_frame_equal(df, expected)
usecols = ['a', 'b', 'c', 'f']
msg = self.msg_validate_usecols_names.format(r"\['f'\]")
with pytest.raises(ValueError, match=msg):
self.read_csv(StringIO(data), usecols=usecols)
usecols = ['a', 'b', 'f']
msg = self.msg_validate_usecols_names.format(r"\['f'\]")
with pytest.raises(ValueError, match=msg):
self.read_csv(StringIO(data), usecols=usecols)
usecols = ['a', 'b', 'f', 'g']
msg = self.msg_validate_usecols_names.format(
r"\[('f', 'g'|'g', 'f')\]")
with pytest.raises(ValueError, match=msg):
self.read_csv(StringIO(data), usecols=usecols)
names = ['A', 'B', 'C', 'D']
df = self.read_csv(StringIO(data), header=0, names=names)
expected = DataFrame({'A': [1, 5], 'B': [2, 6], 'C': [3, 7],
'D': [4, 8]})
tm.assert_frame_equal(df, expected)
# TODO: https://github.com/pandas-dev/pandas/issues/16469
# usecols = ['A','C']
# df = self.read_csv(StringIO(data), header=0, names=names,
# usecols=usecols)
# expected = DataFrame({'A': [1,5], 'C': [3,7]})
# tm.assert_frame_equal(df, expected)
#
# usecols = [0,2]
# df = self.read_csv(StringIO(data), header=0, names=names,
# usecols=usecols)
# expected = DataFrame({'A': [1,5], 'C': [3,7]})
# tm.assert_frame_equal(df, expected)
usecols = ['A', 'B', 'C', 'f']
msg = self.msg_validate_usecols_names.format(r"\['f'\]")
with pytest.raises(ValueError, match=msg):
self.read_csv(StringIO(data), header=0, names=names,
usecols=usecols)
usecols = ['A', 'B', 'f']
msg = self.msg_validate_usecols_names.format(r"\['f'\]")
with pytest.raises(ValueError, match=msg):
self.read_csv(StringIO(data), names=names, usecols=usecols)
| 34.183303 | 77 | 0.506132 |
63e24a66481f1bcafce2ed9ca938771762e79d3d | 2,526 | py | Python | backend/pyrogram/raw/functions/messages/report.py | appheap/social-media-analyzer | 0f9da098bfb0b4f9eb38e0244aa3a168cf97d51c | [
"Apache-2.0"
] | 5 | 2021-09-11T22:01:15.000Z | 2022-03-16T21:33:42.000Z | backend/pyrogram/raw/functions/messages/report.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | null | null | null | backend/pyrogram/raw/functions/messages/report.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | 3 | 2022-01-18T11:06:22.000Z | 2022-02-26T13:39:28.000Z | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Pyrogram is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with Pyrogram. If not, see <http://www.gnu.org/licenses/>.
from io import BytesIO
from pyrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector
from pyrogram.raw.core import TLObject
from pyrogram import raw
from typing import List, Union, Any
# # # # # # # # # # # # # # # # # # # # # # # #
# !!! WARNING !!! #
# This is a generated file! #
# All changes made in this file will be lost! #
# # # # # # # # # # # # # # # # # # # # # # # #
class Report(TLObject): # type: ignore
"""Telegram API method.
Details:
- Layer: ``123``
- ID: ``0xbd82b658``
Parameters:
peer: :obj:`InputPeer <pyrogram.raw.base.InputPeer>`
id: List of ``int`` ``32-bit``
reason: :obj:`ReportReason <pyrogram.raw.base.ReportReason>`
Returns:
``bool``
"""
__slots__: List[str] = ["peer", "id", "reason"]
ID = 0xbd82b658
QUALNAME = "functions.messages.Report"
def __init__(self, *, peer: "raw.base.InputPeer", id: List[int], reason: "raw.base.ReportReason") -> None:
self.peer = peer # InputPeer
self.id = id # Vector<int>
self.reason = reason # ReportReason
@staticmethod
def read(data: BytesIO, *args: Any) -> "Report":
# No flags
peer = TLObject.read(data)
id = TLObject.read(data, Int)
reason = TLObject.read(data)
return Report(peer=peer, id=id, reason=reason)
def write(self) -> bytes:
data = BytesIO()
data.write(Int(self.ID, False))
# No flags
data.write(self.peer.write())
data.write(Vector(self.id, Int))
data.write(self.reason.write())
return data.getvalue()
| 30.071429 | 110 | 0.616785 |
47811ed06b994d1d89f740b39ba5d834f0914fd7 | 3,582 | py | Python | live_object_detection.py | mepotts/Pill-Siamese-Network | 4f2a40b805cae13ea41101060d5c06b8f0031ff5 | [
"MIT"
] | 1 | 2020-04-30T08:21:07.000Z | 2020-04-30T08:21:07.000Z | live_object_detection.py | mepotts/Pill-Siamese-Network | 4f2a40b805cae13ea41101060d5c06b8f0031ff5 | [
"MIT"
] | null | null | null | live_object_detection.py | mepotts/Pill-Siamese-Network | 4f2a40b805cae13ea41101060d5c06b8f0031ff5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 7 22:43:38 2019
@author: katepotts
"""
import numpy as np
import os
import six.moves.urllib as urllib
import sys
import tarfile
import tensorflow as tf
import zipfile
from collections import defaultdict
from io import StringIO
from matplotlib import pyplot as plt
from PIL import Image
import cv2
cap = cv2.VideoCapture(0)
sys.path.append("/Users/katepotts/anaconda3/lib/python3.7/site-packages/tensorflow/models/research/object_detection")
from utils import label_map_util
from utils import visualization_utils as vis_util
#MODEL_NAME = 'ssd_mobilenet_v1_coco_11_06_2017'
#MODEL_FILE = MODEL_NAME + '.tar.gz'
#DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'
# Path to frozen detection graph. This is the actual model that is used for the object detection.
PATH_TO_CKPT = "/Users/katepotts/dataset/final_model/frozen_inference_graph.pb"
# List of the strings that is used to add correct label for each box.
PATH_TO_LABELS = "/Users/katepotts/dataset/data/mscoco_label_map.pbtxt"
NUM_CLASSES = 1
#opener = urllib.request.URLopener()
#opener.retrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)
#tar_file = tarfile.open(MODEL_FILE)
#for file in tar_file.getmembers():
# file_name = os.path.basename(file.name)
# if 'frozen_inference_graph.pb' in file_name:
# tar_file.extract(file, os.getcwd())
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)
with detection_graph.as_default():
with tf.Session(graph=detection_graph) as sess:
while True:
ret, image_np = cap.read()
# Expand dimensions since the model expects images to have shape: [1, None, None, 3]
image_np_expanded = np.expand_dims(image_np, axis=0)
image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
# Each box represents a part of the image where a particular object was detected.
boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
# Each score represent how level of confidence for each of the objects.
# Score is shown on the result image, together with the class label.
scores = detection_graph.get_tensor_by_name('detection_scores:0')
classes = detection_graph.get_tensor_by_name('detection_classes:0')
num_detections = detection_graph.get_tensor_by_name('num_detections:0')
# Actual detection.
(boxes, scores, classes, num_detections) = sess.run(
[boxes, scores, classes, num_detections],
feed_dict={image_tensor: image_np_expanded})
# Visualization of the results of a detection.
vis_util.visualize_boxes_and_labels_on_image_array(
image_np,
np.squeeze(boxes),
np.squeeze(classes).astype(np.int32),
np.squeeze(scores),
category_index,
use_normalized_coordinates=True,
line_thickness=8)
cv2.imshow('object detection', cv2.resize(image_np, (800,600)))
if cv2.waitKey(25) & 0xFF == ord('q'):
cv2.destroyAllWindows()
break | 37.3125 | 122 | 0.730597 |
4dae3bf1f2676275158c2f7709ddd9d7f841a107 | 3,618 | py | Python | examples/SQLtoDataFrame.py | gkuling/BIRADS_BERT | f218d05283df90e536b210efbb4fab1d6dff082d | [
"MIT"
] | 1 | 2021-11-08T15:14:26.000Z | 2021-11-08T15:14:26.000Z | examples/SQLtoDataFrame.py | gkuling/BIRADS_BERT | f218d05283df90e536b210efbb4fab1d6dff082d | [
"MIT"
] | null | null | null | examples/SQLtoDataFrame.py | gkuling/BIRADS_BERT | f218d05283df90e536b210efbb4fab1d6dff082d | [
"MIT"
] | 1 | 2022-03-11T15:59:58.000Z | 2022-03-11T15:59:58.000Z | '''
Copyright (c) 2020, Martel Lab, Sunnybrook Research Institute
Description: This code will convert an SQL .csv file that has reports
seperated into indidual text lines into a .csv of individual reports.
Input: saved .csv file of sql database needed to be converted.
Output: a .csv file of the input file with Lines collected into organized
reports.
'''
import argparse
import pandas as pd
import sys
from tqdm import tqdm
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument("--input_sql", type=str,
help="File location of SQL data.")
parser.add_argument("--save_name", type=str,
help="File location you wish to csv file.")
parser.add_argument("--session_col", type=str, default="AccNum",
help="Label for the column that holds information on exam "
"session number ")
parser.add_argument("--report_col", type=str, default="ReportTxt",
help="Label for the column that contains report text.")
opt = parser.parse_args()
print('-'*80)
print(opt)
print('-'*80)
def eliminate_sequence_number(sql_data,
accession_label='AccNum',
textlabel='ReportTxt'):
"""
This function takes a csv input that has a SequenceNumber column that
give the sequence information of report text. This will then append all
string data in the proper sequence to merge multiple lines of the same
session into one row of information in a dataframe.
:param sql_data: csv file containing sql output where the report data is
split into lines characterizeed by the sequence number. Requires a
SequenceNumber column and an ExamDate column.
:param accession_label: str, name of the column that contains session
number
:param textlabel: str, name of the column that contains report text
:return: Dataframe of all rows of sql_data file compressed into sessions
"""
sql_data = sql_data[[textlabel, accession_label, 'SequenceNumber',
'ExamDate']].replace(np.nan, '', regex=True).astype({textlabel: str})
acc_nums = list(set(sql_data[accession_label]))
output_data = []
acc_nums_iterator = tqdm(acc_nums, desc="SQLtoDataframe Progress: ",
position=0, leave=True)
for num in acc_nums_iterator:
temp = sql_data.loc[sql_data[accession_label] == num]
temp = temp.drop_duplicates()
temp = temp.sort_values(['SequenceNumber'])
save_value = list(temp.values[0])
col_oi = list(temp.columns).index(textlabel)
for row in temp.itertuples():
if row.SequenceNumber == 0:
continue
else:
if row[col_oi+1] == '(null)':
save_value[col_oi] += '\n'
else:
save_value[col_oi] += '\n' + row[col_oi+1]
output_data.append(save_value)
sys.stdout.write(
'\rFinished analyzing ' + str(len(output_data)/len(acc_nums))
)
sys.stdout.flush()
op_cols = list(sql_data.columns)
rt_df = pd.DataFrame(output_data,
columns=op_cols)
rt_df = rt_df.drop('SequenceNumber', 'columns')
return rt_df
sql_reports = pd.read_csv(opt.input_sql)
reports_processed = eliminate_sequence_number(sql_reports,
accession_label=opt.session_col,
textlabel=opt.report_col)
reports_processed.to_csv(opt.save_name)
print('End of SQLtoDataframe Script')
| 40.2 | 94 | 0.638198 |
4cbfecfac8980b672abfd3d0a66a3ac771284cc1 | 696 | py | Python | bot/player_commands/invite.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | null | null | null | bot/player_commands/invite.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | null | null | null | bot/player_commands/invite.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | null | null | null | import discord
from discord.ext import commands
class invite_cog(commands.Cog):
def __init__(self, bot):
self.client = bot
@commands.command()
async def invite(self, ctx):
embed = discord.Embed(title=f"Want to invite this bot to your server?", description=f"Go to [this link](https://discord.com/api/oauth2/authorize?client_id=854722092037701643&permissions=2147601408&scope=bot) and enjoy all the awesome features. Default prefix is `.` but can be changed with `.set_prefix`.", colour=0x3498DB)
embed.set_footer(text=f"Command executed by {ctx.author.display_name} | Community Bot. By the community, for the community.")
await ctx.send(embed=embed)
| 53.538462 | 331 | 0.731322 |
73cd87883e38fcef3c866601e963a7b16cf1ef94 | 2,031 | py | Python | src/pretrained_word2vec/pretrained_word2vec.py | leeesangwon/CNN_sentence.pytorch | 512a1fe1de359f01557b6441a0571d7d98335716 | [
"MIT"
] | null | null | null | src/pretrained_word2vec/pretrained_word2vec.py | leeesangwon/CNN_sentence.pytorch | 512a1fe1de359f01557b6441a0571d7d98335716 | [
"MIT"
] | null | null | null | src/pretrained_word2vec/pretrained_word2vec.py | leeesangwon/CNN_sentence.pytorch | 512a1fe1de359f01557b6441a0571d7d98335716 | [
"MIT"
] | null | null | null | import numpy as np
import torch
def load_bin_word2vec(fname, vocab):
"""Loads (300,) np.array from Google (Mikolov) word2vec"""
vocab = set(vocab)
word_vecs = {}
with open(fname, 'rb') as f:
header = f.readline()
vocab_size, word_vec_size = map(int, header.split())
binary_len = np.dtype('float32').itemsize * word_vec_size
for line in range(vocab_size):
word = []
while True:
ch = f.read(1).decode('latin1')
if ch == ' ':
word = ''.join(word)
break
if ch != '\n':
word.append(ch)
if word in vocab:
word_vecs[word] = np.frombuffer(f.read(binary_len), dtype='float32')
else:
f.read(binary_len)
return word_vecs, word_vec_size
class PretrainedWord2Vec(object):
"""
Parameters:
vocab:
w2v_file: path to `GoogleNews-vectors-negative300.bin`
"""
def __init__(self, vocab, w2v_file):
vocab = sorted(list(vocab))
word2vec_dict, self.word_vec_size = load_bin_word2vec(w2v_file, vocab)
self.word2index = {}
self.num_oov = 0
embeddings = []
for i, word in enumerate(vocab):
self.word2index[word] = i
try:
vec = word2vec_dict[word]
except KeyError:
vec = self._unknown_word_embeddings()
self.num_oov += 1
embeddings.append(vec)
embeddings = np.array(embeddings)
self.embeddings = torch.from_numpy(embeddings)
def _unknown_word_embeddings(self):
"""
For OOV words, embedding vectors are initialized from `U[-a, a]`
where `a` was chosen such that the random vectors have the same variance
as the pre-trained ones.
"""
return np.random.uniform(-0.25, 0.25, self.word_vec_size).astype('float32')
def __len__(self):
return len(self.word2index)
| 32.238095 | 84 | 0.558346 |
3415c1d6d4919cd33bc13b01948f35e3b5af0a55 | 1,001 | py | Python | Tree/delete-nodes-and-return-forest.py | PK-100/Competitive_Programming | d0863feaaa99462b2999e85dcf115f7a6c08bb8d | [
"MIT"
] | 70 | 2018-06-25T21:20:15.000Z | 2022-03-24T03:55:17.000Z | Tree/delete-nodes-and-return-forest.py | An3sha/Competitive_Programming | ee7eadf51939a360d0b004d787ebabda583e92f0 | [
"MIT"
] | 4 | 2018-09-04T13:12:20.000Z | 2021-06-20T08:29:12.000Z | Tree/delete-nodes-and-return-forest.py | An3sha/Competitive_Programming | ee7eadf51939a360d0b004d787ebabda583e92f0 | [
"MIT"
] | 24 | 2018-12-26T05:15:32.000Z | 2022-01-23T23:04:54.000Z | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
# Author: @amitrajitbose
class Solution:
def delNodes(self, root: TreeNode, to_delete: List[int]) -> List[TreeNode]:
to_delete = set(to_delete)
resultset = set([root])
queue = [root]
while queue:
node = queue.pop(0)
if node:
queue.extend([node.left, node.right]) # copy of references
if node.val in to_delete:
if node in resultset: resultset.remove(node)
if node.left: resultset.add(node.left)
if node.right: resultset.add(node.right)
else:
if node.left and node.left.val in to_delete: node.left = None
if node.right and node.right.val in to_delete: node.right = None
return list(resultset)
| 37.074074 | 84 | 0.556444 |
1f93a94efbf19f7923aeeb55e206ea31586b054c | 2,671 | py | Python | services/web/project/auth/models.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | services/web/project/auth/models.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | services/web/project/auth/models.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | import datetime
from flask_login import UserMixin
from project import db, logger
from project.constants import ROLES
from project.auth import bcrypt, AnonymousUserMixin
from project.utils import _not_empty
from project.constants import ROLES
from project.tracker.models import Account, CashFlow
from project.utils import _not_empty
class User(UserMixin, db.Document):
meta = {'collection': 'user'}
username = db.StringField(max_length=64,
unique=True,
validation=_not_empty,
required=True)
role = db.StringField(max_length=64,
validation=_not_empty,
default=ROLES[0],
choices=ROLES,
required=True)
# Auth
password = db.StringField(max_length=255, required=True)
# Friends
active_share = db.ListField(db.ReferenceField('self'))
active_peek = db.ListField(db.ReferenceField('self'))
temp_user = db.ListField(db.ReferenceField('self'))
# PersonalFi Tracker
worth = db.ListField(db.EmbeddedDocumentField(Account))
cash_flows = db.ListField(db.EmbeddedDocumentField(CashFlow))
# Meta Data
last_login = db.DateTimeField()
created_date = db.DateTimeField(default=datetime.datetime.utcnow)
meta = {}
def __init__(self, username, role=ROLES[0], *args, **kwargs):
super(db.Document, self).__init__(*args, **kwargs)
self.username = username
if role in ROLES:
self.role = role
def __repr__(self):
return '<User {}>'.format(self.username)
@staticmethod
def is_active(self):
return True
def is_authenticated(self):
if isinstance(self, AnonymousUserMixin):
return False
else:
return True
def is_anonymous(self):
return not self.is_authenticated()
def get_id(self):
return self.username
def has_role(self, name):
if self.role == name:
return True
return False
def set_password(self, password):
if not isinstance(password, str):
if isinstance(password, list):
password = password[0]
password = str(password)
self.password = bcrypt.generate_password_hash(password).decode('utf-8')
def check_password(self, password):
if isinstance(password, list) and password:
password = password[0]
if not self.password or not password:
return False
else:
return bcrypt.check_password_hash(self.password.encode('utf-8'), password)
| 30.011236 | 86 | 0.621864 |
0ddfbc05f517573fe384e2028ed4c99bdd80276e | 2,663 | py | Python | magenta/models/polyphony_rnn/polyphony_encoder_decoder.py | cristianmtr/magenta | ac2d8ae455fdd07f4b46dec82aedab22fcb6bbbd | [
"Apache-2.0"
] | 1 | 2019-01-24T07:22:48.000Z | 2019-01-24T07:22:48.000Z | magenta/models/polyphony_rnn/polyphony_encoder_decoder.py | dkun7944/magenta | 8f930263b7cfd67f27eb12cd871b4e5fa87d382e | [
"Apache-2.0"
] | null | null | null | magenta/models/polyphony_rnn/polyphony_encoder_decoder.py | dkun7944/magenta | 8f930263b7cfd67f27eb12cd871b4e5fa87d382e | [
"Apache-2.0"
] | 1 | 2019-11-26T06:30:52.000Z | 2019-11-26T06:30:52.000Z | # Copyright 2018 The Magenta 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
#
# 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.
"""Classes for converting between polyphonic input and model input/output."""
from __future__ import division
from magenta.models.polyphony_rnn import polyphony_lib
from magenta.models.polyphony_rnn.polyphony_lib import PolyphonicEvent
from magenta.music import encoder_decoder
EVENT_CLASSES_WITHOUT_PITCH = [
PolyphonicEvent.START,
PolyphonicEvent.END,
PolyphonicEvent.STEP_END,
]
EVENT_CLASSES_WITH_PITCH = [
PolyphonicEvent.NEW_NOTE,
PolyphonicEvent.CONTINUED_NOTE,
]
PITCH_CLASSES = polyphony_lib.MAX_MIDI_PITCH + 1
class PolyphonyOneHotEncoding(encoder_decoder.OneHotEncoding):
"""One-hot encoding for polyphonic events."""
@property
def num_classes(self):
return len(EVENT_CLASSES_WITHOUT_PITCH) + (
len(EVENT_CLASSES_WITH_PITCH) * PITCH_CLASSES)
@property
def default_event(self):
return PolyphonicEvent(
event_type=PolyphonicEvent.STEP_END, pitch=0)
def encode_event(self, event):
if event.event_type in EVENT_CLASSES_WITHOUT_PITCH:
return EVENT_CLASSES_WITHOUT_PITCH.index(event.event_type)
elif event.event_type in EVENT_CLASSES_WITH_PITCH:
return len(EVENT_CLASSES_WITHOUT_PITCH) + (
EVENT_CLASSES_WITH_PITCH.index(event.event_type) * PITCH_CLASSES +
event.pitch)
else:
raise ValueError('Unknown event type: %s' % event.event_type)
def decode_event(self, index):
if index < len(EVENT_CLASSES_WITHOUT_PITCH):
return PolyphonicEvent(
event_type=EVENT_CLASSES_WITHOUT_PITCH[index], pitch=0)
pitched_index = index - len(EVENT_CLASSES_WITHOUT_PITCH)
if pitched_index < len(EVENT_CLASSES_WITH_PITCH) * PITCH_CLASSES:
event_type = len(EVENT_CLASSES_WITHOUT_PITCH) + (
pitched_index // PITCH_CLASSES)
pitch = pitched_index % PITCH_CLASSES
return PolyphonicEvent(
event_type=event_type, pitch=pitch)
raise ValueError('Unknown event index: %s' % index)
def event_to_num_steps(self, event):
if event.event_type == PolyphonicEvent.STEP_END:
return 1
else:
return 0
| 33.2875 | 77 | 0.750657 |
0e33ee15cfff7fcf69112d68b515072149e2d5cb | 5,131 | py | Python | tpDcc/dccs/maya/core/viewport.py | tpoveda/tpMayaLib | fe570a2aef496c651f302ea2743c84fa4308c3d7 | [
"MIT"
] | 3 | 2021-04-30T03:47:39.000Z | 2021-06-22T09:15:33.000Z | tpDcc/dccs/maya/core/viewport.py | tpoveda/tpMayaLib | fe570a2aef496c651f302ea2743c84fa4308c3d7 | [
"MIT"
] | null | null | null | tpDcc/dccs/maya/core/viewport.py | tpoveda/tpMayaLib | fe570a2aef496c651f302ea2743c84fa4308c3d7 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module defines class for Maya viewport widgets
"""
from __future__ import print_function, division, absolute_import
import os
import logging
import tempfile
from Qt.QtWidgets import QWidget, QVBoxLayout
import maya.cmds
from tpDcc.dccs.maya.core import gui
LOGGER = logging.getLogger('tpDcc-dccs-maya')
class MayaViewport(QWidget):
def __init__(self, name='maya_viewport', label='Default Viewport', parent=None):
super(MayaViewport, self).__init__(parent=parent)
self._temp_file = tempfile.NamedTemporaryFile(mode='wb', suffix='.png', delete=False)
self.main_layout = QVBoxLayout()
self.main_layout.setContentsMargins(0, 0, 0, 0)
self.main_layout.setSpacing(0)
self.main_layout.setObjectName('viewport_main_layout')
self.setLayout(self.main_layout)
self.name = name
self.label = label
maya.cmds.setParent('|')
pane_layout_name = maya.cmds.paneLayout(self.name)
self.pane_layout = gui.to_qt_object(pane_layout_name)
self.camera_name = maya.cmds.camera()[0]
maya.cmds.hide(self.camera_name)
self.model_panel_name = maya.cmds.modelPanel(label=self.label, camera=self.camera_name, menuBarVisible=False)
maya.mel.eval(
'modelPanelBarDecorationsCallback('
'"GridBtn","' + self.model_panel_name + '", "' + self.model_panel_name + '|modelEditorIconBar");')
self.model_panel = gui.to_qt_object(self.model_panel_name)
self.main_layout.addWidget(self.pane_layout)
self._original_line_width = maya.cmds.modelEditor(self.model_panel_name, query=True, lineWidth=True)
maya.cmds.modelEditor(self.model_panel_name, edit=True, displayAppearance='smoothShaded', lw=2)
maya.cmds.viewFit(self.camera_name, all=False)
self.collapse_menu_bar(True)
def update_viewport(self):
"""
Implements abstract update_viewport method
In Maya viewport, the update is managed automatically by Maya
"""
super(MayaViewport, self).update_viewport()
def clean(self):
"""
Implements abstract clean method
"""
super(MayaViewport, self).clean()
if maya.cmds.objExists(self.camera_name):
maya.cmds.delete(self.camera_name)
maya.cmds.modelEditor(
self.model_panel_name, edit=True, displayAppearance='smoothShaded', lw=self._original_line_width)
# Un-parent model panel before deleting the widget. Doing this will avoid show an error on the Maya
# console indicating that the model panel can't update
maya.cmds.modelPanel(self.model_panel_name, edit=True, unParent=True)
maya.cmds.deleteUI(self.model_panel_name, panel=True)
def create_snapshot(self, filename=None, size=None, **kwargs):
"""
Implements create_snapshot abstract function
:param filename: str, Path where the snapshot will be stored
:param size: tuple<int, int>, tuple defining size and width of the image. If None, the complete width and
height of the viewport will be used
:param focus; bool, True if you want to focus to the model panel before taking the snapshot
:return: str, Path where the snapshot has been stored or None if some error happens during snapshot
"""
if filename is None:
filename = self._temp_file.file.name
focus = kwargs.get('focus', False)
if focus:
maya.cmds.setFocus(self.model_panel_name)
# Create playblast of the viewport
try:
if size:
f = maya.cmds.playblast(
wh=(size[0], size[1]), fp=0, frame=maya.cmds.currentTime(query=True), format='image',
compression='png', forceOverwrite=True, viewer=False)
else:
f = maya.cmds.playblast(
fp=0, frame=maya.cmds.currentTime(query=True), format='image', compression='png',
forceOverwrite=True, viewer=False)
except Exception as e:
LOGGER.error(str(e))
return None
f = os.path.abspath(f.replace('####', '0'))
try:
os.rename(f, filename + '.png')
except Exception as e:
LOGGER.error(str(e))
return None
return os.path.abspath(filename)
def collapse_menu_bar(self, value):
"""
Sets the collapsed state for the menu bar of the Maya viewport
:param value: bool, True if you want to collapse the menu bar or False otherwise
"""
bar_layout = self._get_bar_layout()
if maya.cmds.frameLayout(bar_layout, query=True, exists=True):
maya.cmds.frameLayout(bar_layout, edit=True, collapse=value)
def _get_bar_layout(self):
"""
Returns the bar layout associated to the Maya viewport
:return: unicode, bar layout name
"""
bar_layout = maya.cmds.modelPanel(self.model_panel_name, query=True, barLayout=True)
return bar_layout
| 36.390071 | 117 | 0.650555 |
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