content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
a = int(input())
if a % 7 == 0 :
print("multiple")
else :
print("not multiple")
| a = int(input())
if a % 7 == 0:
print('multiple')
else:
print('not multiple') |
#Tuplas
a = 10
b = 5
print(a)
(a,b) = (b,a)
print(a) #Cambio los valores con las tuplas | a = 10
b = 5
print(a)
(a, b) = (b, a)
print(a) |
class Solution:
def canFinish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
degree = [0]*numCourses
courseDic = [[] for i in range(numCourses)]
for i, j in prerequisites:
courseDic[j].append(i)
degree[i] += 1
dfs = [i for i in range(numCourses) if degree[i] == 0]
numCoursesFinished = len(dfs)
while dfs:
courseId = dfs.pop()
for c in courseDic[courseId]:
degree[c] -= 1
if degree[c] == 0:
dfs.append(c)
numCoursesFinished += 1
return numCoursesFinished == numCourses
| class Solution:
def can_finish(self, numCourses: int, prerequisites: List[List[int]]) -> bool:
degree = [0] * numCourses
course_dic = [[] for i in range(numCourses)]
for (i, j) in prerequisites:
courseDic[j].append(i)
degree[i] += 1
dfs = [i for i in range(numCourses) if degree[i] == 0]
num_courses_finished = len(dfs)
while dfs:
course_id = dfs.pop()
for c in courseDic[courseId]:
degree[c] -= 1
if degree[c] == 0:
dfs.append(c)
num_courses_finished += 1
return numCoursesFinished == numCourses |
class RetsError(RuntimeError):
pass
class RetsClientError(RetsError):
pass
class RetsParseError(RetsClientError):
pass
class RetsResponseError(RetsClientError):
def __init__(self, content: str, headers: dict):
super().__init__('Unexpected response from RETS')
self.content = content
self.headers = headers
class RetsApiError(RetsClientError):
def __init__(self, reply_code: int, reply_text: str, xml: str):
super().__init__('[%i] %s\n\n%s' % (reply_code, reply_text, xml))
self.reply_code = reply_code
self.reply_text = reply_text
self.xml = xml
| class Retserror(RuntimeError):
pass
class Retsclienterror(RetsError):
pass
class Retsparseerror(RetsClientError):
pass
class Retsresponseerror(RetsClientError):
def __init__(self, content: str, headers: dict):
super().__init__('Unexpected response from RETS')
self.content = content
self.headers = headers
class Retsapierror(RetsClientError):
def __init__(self, reply_code: int, reply_text: str, xml: str):
super().__init__('[%i] %s\n\n%s' % (reply_code, reply_text, xml))
self.reply_code = reply_code
self.reply_text = reply_text
self.xml = xml |
n,l,r,x=map(int,input().split())
num=list(map(int,input().split()))
ans=0
for i in range(2**n):
st=bin(i)[2:]
st='0'*(n-len(st))+st
if st.count('1')>=2:
pt=[]
for i in range(len(st)):
if st[i]=='1':
pt.append(num[i])
if sum(pt)<=r and sum(pt)>=l and max(pt)-min(pt)>=x:
ans+=1
print(ans) | (n, l, r, x) = map(int, input().split())
num = list(map(int, input().split()))
ans = 0
for i in range(2 ** n):
st = bin(i)[2:]
st = '0' * (n - len(st)) + st
if st.count('1') >= 2:
pt = []
for i in range(len(st)):
if st[i] == '1':
pt.append(num[i])
if sum(pt) <= r and sum(pt) >= l and (max(pt) - min(pt) >= x):
ans += 1
print(ans) |
RUTA_CANCIONES = "D:/proyectos/cocid/cocid_practica_semanal/semana3/canciones/"
CANCIONES = {
1: "Get_Back.txt",
2: "Hey_Jude.txt",
3: "Let_It_Be.txt",
4: "She _Loves_You.txt"
}
| ruta_canciones = 'D:/proyectos/cocid/cocid_practica_semanal/semana3/canciones/'
canciones = {1: 'Get_Back.txt', 2: 'Hey_Jude.txt', 3: 'Let_It_Be.txt', 4: 'She _Loves_You.txt'} |
kitReportMQHost = '***'
kitReportMQPort = 5672
kitReportMQUsername = '***'
kitReportMQPassword = '***'
kitReportMQQueueName = '***'
kitReportMQHeartBeat = 20
kitGitHost = '***'
kitGitUser = '***'
kitDBPort = 3306
kitDBHost = "***"
kitDBName = "***"
kitDBUsername = "***"
kitDBPassword = "***" | kit_report_mq_host = '***'
kit_report_mq_port = 5672
kit_report_mq_username = '***'
kit_report_mq_password = '***'
kit_report_mq_queue_name = '***'
kit_report_mq_heart_beat = 20
kit_git_host = '***'
kit_git_user = '***'
kit_db_port = 3306
kit_db_host = '***'
kit_db_name = '***'
kit_db_username = '***'
kit_db_password = '***' |
"""
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Vibha Alangar, Dave Fisher, Matt Boutell, Mark Hays,
Mohammed Noureddine, Sana Ebrahimi, Sriram Mohan, their colleagues and
PUT_YOUR_NAME_HERE.
""" # TODO: 1. PUT YOUR NAME IN THE ABOVE LINE.
###############################################################################
# TODO: 2. Read the following, then change its _TODO_ to DONE.
# Throughout these exercises, you must use RANGE statements.
# At this point of the course, you are restricted to the SINGLE-ARGUMENT
# form of RANGE statements, like this:
# range(blah):
# There is a MULTIPLE-ARGUMENT form of RANGE statements (e.g. range(a, b))
# but you are NOT permitted to use the MULTIPLE-ARGUMENT form yet,
# for pedagogical reasons.
###############################################################################
def main():
""" Calls the TEST functions in this module. """
run_test_sum_cosines()
run_test_sum_square_roots()
def run_test_sum_cosines():
""" Tests the sum_cosines function. """
# -------------------------------------------------------------------------
# TODO: 3. Implement this function.
# It TESTS the sum_cosines function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_cosines function:")
print("--------------------------------------------------")
def sum_cosines(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the cosines of the integers
0, 1, 2, 3, ... n, inclusive, for the given n.
Side effects: None.
Example:
If n is 3, this function returns
cos(0) + cos(1) + cos(2) + cos(3) which is about 0.13416.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 4. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_cosines to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
def run_test_sum_square_roots():
""" Tests the sum_square_roots function. """
# -------------------------------------------------------------------------
# TODO: 5. Implement this function.
# It TESTS the sum_square_roots function defined below.
# Include at least ** 3 ** tests.
# ___
# Use the same 4-step process as in implementing previous
# TEST functions, including the same way to print expected/actual.
# -------------------------------------------------------------------------
print()
print("--------------------------------------------------")
print("Testing the sum_square_roots function:")
print("--------------------------------------------------")
def sum_square_roots(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the square roots of the integers
2, 4, 6, 8, ... 2n inclusive, for the given n.
So if n is 7, the last term of the sum is
the square root of 14 (not 7).
Side effects: None.
Example:
If n is 5, this function returns
sqrt(2) + sqrt(4) + sqrt(6) + sqrt(8) + sqrt(10),
which is about 11.854408.
Type hints:
:type n: int
:rtype: float
"""
# -------------------------------------------------------------------------
# TODO: 6. Implement and test this function.
# Note that you should write its TEST function first (above).
# That is called TEST-FIRST DEVELOPMENT (TFD).
# ___
# No fair running the code of sum_square_roots to GENERATE
# test cases; that would defeat the purpose of TESTING!
# -------------------------------------------------------------------------
# -----------------------------------------------------------------------------
# Calls main to start the ball rolling.
# -----------------------------------------------------------------------------
main()
| """
This module lets you practice the ACCUMULATOR pattern
in its simplest classic forms:
SUMMING: total = total + number
Authors: David Mutchler, Vibha Alangar, Dave Fisher, Matt Boutell, Mark Hays,
Mohammed Noureddine, Sana Ebrahimi, Sriram Mohan, their colleagues and
PUT_YOUR_NAME_HERE.
"""
def main():
""" Calls the TEST functions in this module. """
run_test_sum_cosines()
run_test_sum_square_roots()
def run_test_sum_cosines():
""" Tests the sum_cosines function. """
print()
print('--------------------------------------------------')
print('Testing the sum_cosines function:')
print('--------------------------------------------------')
def sum_cosines(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the cosines of the integers
0, 1, 2, 3, ... n, inclusive, for the given n.
Side effects: None.
Example:
If n is 3, this function returns
cos(0) + cos(1) + cos(2) + cos(3) which is about 0.13416.
Type hints:
:type n: int
:rtype: float
"""
def run_test_sum_square_roots():
""" Tests the sum_square_roots function. """
print()
print('--------------------------------------------------')
print('Testing the sum_square_roots function:')
print('--------------------------------------------------')
def sum_square_roots(n):
"""
What comes in: A non-negative integer n.
What goes out: Returns the sum of the square roots of the integers
2, 4, 6, 8, ... 2n inclusive, for the given n.
So if n is 7, the last term of the sum is
the square root of 14 (not 7).
Side effects: None.
Example:
If n is 5, this function returns
sqrt(2) + sqrt(4) + sqrt(6) + sqrt(8) + sqrt(10),
which is about 11.854408.
Type hints:
:type n: int
:rtype: float
"""
main() |
def validate_fit_event_struct(fitEvent, tester):
tester.assertTrue(hasattr(fitEvent, 'df'))
tester.assertTrue(hasattr(fitEvent, 'spec'))
tester.assertTrue(hasattr(fitEvent, 'model'))
tester.assertTrue(hasattr(fitEvent, 'featureColumns'))
tester.assertTrue(hasattr(fitEvent, 'predictionColumns'))
tester.assertTrue(hasattr(fitEvent, 'labelColumns'))
tester.assertTrue(hasattr(fitEvent, 'experimentRunId'))
tester.assertTrue(type(fitEvent.experimentRunId), 'int')
def validate_project_struct(project, tester):
tester.assertTrue(hasattr(project, 'id'))
tester.assertTrue(hasattr(project, 'name'))
tester.assertTrue(hasattr(project, 'author'))
tester.assertTrue(hasattr(project, 'description'))
def validate_experiment_struct(experiment, tester):
tester.assertTrue(hasattr(experiment, 'projectId'))
tester.assertTrue(hasattr(experiment, 'description'))
tester.assertTrue(hasattr(experiment, 'id'))
tester.assertTrue(hasattr(experiment, 'isDefault'))
tester.assertTrue(hasattr(experiment, 'name'))
def validate_experiment_run_struct(experiment_run, tester):
tester.assertTrue(hasattr(experiment_run, 'id'))
tester.assertTrue(hasattr(experiment_run, 'experimentId'))
tester.assertTrue(hasattr(experiment_run, 'description'))
def validate_transformer_spec_struct(spec, tester):
tester.assertTrue(hasattr(spec, 'id'))
tester.assertTrue(hasattr(spec, 'transformerType'))
tester.assertTrue(hasattr(spec, 'hyperparameters'))
tester.assertTrue(hasattr(spec, 'tag'))
def validate_transform_event_struct(transformEvent, tester):
tester.assertTrue(hasattr(transformEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'newDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'transformer'))
tester.assertTrue(hasattr(transformEvent, 'inputColumns'))
tester.assertTrue(hasattr(transformEvent, 'outputColumns'))
tester.assertTrue(hasattr(transformEvent, 'experimentRunId'))
tester.assertTrue(type(transformEvent.experimentRunId), 'int')
def validate_dataframe_struct(dataframe, tester):
tester.assertTrue(hasattr(dataframe, 'numRows'))
tester.assertTrue(hasattr(dataframe, 'tag'))
tester.assertTrue(hasattr(dataframe, 'id'))
tester.assertTrue(hasattr(dataframe, 'schema'))
def validate_transformer_struct(transformer, tester):
tester.assertTrue(hasattr(transformer, 'id'))
tester.assertTrue(hasattr(transformer, 'transformerType'))
tester.assertTrue(hasattr(transformer, 'tag'))
def validate_pipeline_event_struct(pipelineEvent, tester):
tester.assertTrue(hasattr(pipelineEvent, 'pipelineFit'))
tester.assertTrue(hasattr(pipelineEvent, 'transformStages'))
tester.assertTrue(hasattr(pipelineEvent, 'fitStages'))
tester.assertTrue(hasattr(pipelineEvent, 'experimentRunId'))
def validate_pipeline_fit_stages(fitStages, tester):
count = 0
for stage in fitStages:
tester.assertTrue(hasattr(stage, 'fe'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_fit_event_struct(stage.fe, tester)
count += 1
def validate_pipeline_transform_stages(transformStages, tester):
count = 0
for stage in transformStages:
tester.assertTrue(hasattr(stage, 'te'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_transform_event_struct(stage.te, tester)
count += 1
def validate_random_split_event_struct(random_splitEvent, tester):
tester.assertTrue(hasattr(random_splitEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(random_splitEvent, 'weights'))
tester.assertTrue(hasattr(random_splitEvent, 'seed'))
tester.assertTrue(hasattr(random_splitEvent, 'splitDataFrames'))
tester.assertTrue(hasattr(random_splitEvent, 'experimentRunId'))
def validate_metric_event_struct(metric_event, tester):
tester.assertTrue(hasattr(metric_event, 'df'))
tester.assertTrue(hasattr(metric_event, 'model'))
tester.assertTrue(hasattr(metric_event, 'metricType'))
tester.assertTrue(hasattr(metric_event, 'metricValue'))
tester.assertTrue(hasattr(metric_event, 'labelCol'))
tester.assertTrue(hasattr(metric_event, 'predictionCol'))
tester.assertTrue(hasattr(metric_event, 'experimentRunId'))
def validate_grid_search_cv_event(gridcvEvent, tester):
tester.assertTrue(hasattr(gridcvEvent, 'numFolds'))
tester.assertTrue(hasattr(gridcvEvent, 'bestFit'))
tester.assertTrue(hasattr(gridcvEvent, 'crossValidations'))
tester.assertTrue(hasattr(gridcvEvent, 'experimentRunId'))
def validate_cross_validate_event(cvEvent, tester):
tester.assertTrue(hasattr(cvEvent, 'df'))
tester.assertTrue(hasattr(cvEvent, 'spec'))
tester.assertTrue(hasattr(cvEvent, 'seed'))
tester.assertTrue(hasattr(cvEvent, 'evaluator'))
tester.assertTrue(hasattr(cvEvent, 'labelColumns'))
tester.assertTrue(hasattr(cvEvent, 'predictionColumns'))
tester.assertTrue(hasattr(cvEvent, 'featureColumns'))
tester.assertTrue(hasattr(cvEvent, 'folds'))
tester.assertTrue(hasattr(cvEvent, 'experimentRunId'))
def validate_cross_validation_fold(cvFold, tester):
tester.assertTrue(hasattr(cvFold, 'model'))
tester.assertTrue(hasattr(cvFold, 'validationDf'))
tester.assertTrue(hasattr(cvFold, 'trainingDf'))
tester.assertTrue(hasattr(cvFold, 'score'))
def is_equal_dataframe(dataframe1, dataframe2, tester):
tester.assertEqual(dataframe1.numRows, dataframe2.numRows)
tester.assertEqual(dataframe1.tag, dataframe2.tag)
tester.assertEqual(dataframe1.id, dataframe2.id)
tester.assertEqual(len(dataframe1.schema), len(dataframe2.schema))
# check schema
for i in range(len(dataframe1.schema)):
tester.assertEqual(dataframe1.schema[
i].name, dataframe2.schema[i].name)
tester.assertEqual(dataframe1.schema[
i].type, dataframe2.schema[i].type)
def is_equal_transformer_spec(spec1, spec2, tester):
tester.assertEqual(spec1.id, spec2.id)
tester.assertEqual(spec1.transformerType, spec2.transformerType)
tester.assertEqual(spec1.tag, spec2.tag)
tester.assertEqual(len(spec1.hyperparameters), len(spec2.hyperparameters))
for i in range(len(spec1.hyperparameters)):
tester.assertTrue(spec1.hyperparameters[i] in spec2.hyperparameters)
def is_equal_transformer(model1, model2, tester):
tester.assertEqual(model1.id, model2.id)
tester.assertEqual(model1.transformerType, model2.transformerType)
tester.assertEqual(model1.tag, model2.tag)
def is_equal_project(project1, project2, tester):
tester.assertEqual(project1.id, project2.id)
tester.assertEqual(project1.name, project2.name)
tester.assertEqual(project1.author, project2.author)
tester.assertEqual(project1.description, project2.description)
def is_equal_experiment(experiment1, experiment2, tester):
tester.assertEqual(experiment1.id, experiment2.id)
tester.assertEqual(experiment1.projectId, experiment2.projectId)
tester.assertEqual(experiment1.name, experiment2.name)
tester.assertEqual(experiment1.description, experiment2.description)
tester.assertEqual(experiment1.isDefault, experiment2.isDefault)
def is_equal_experiment_run(expRun1, expRun2, tester):
tester.assertEqual(expRun1.id, expRun2.id)
tester.assertEqual(expRun1.experimentId, expRun2.experimentId)
tester.assertEqual(expRun1.description, expRun2.description)
| def validate_fit_event_struct(fitEvent, tester):
tester.assertTrue(hasattr(fitEvent, 'df'))
tester.assertTrue(hasattr(fitEvent, 'spec'))
tester.assertTrue(hasattr(fitEvent, 'model'))
tester.assertTrue(hasattr(fitEvent, 'featureColumns'))
tester.assertTrue(hasattr(fitEvent, 'predictionColumns'))
tester.assertTrue(hasattr(fitEvent, 'labelColumns'))
tester.assertTrue(hasattr(fitEvent, 'experimentRunId'))
tester.assertTrue(type(fitEvent.experimentRunId), 'int')
def validate_project_struct(project, tester):
tester.assertTrue(hasattr(project, 'id'))
tester.assertTrue(hasattr(project, 'name'))
tester.assertTrue(hasattr(project, 'author'))
tester.assertTrue(hasattr(project, 'description'))
def validate_experiment_struct(experiment, tester):
tester.assertTrue(hasattr(experiment, 'projectId'))
tester.assertTrue(hasattr(experiment, 'description'))
tester.assertTrue(hasattr(experiment, 'id'))
tester.assertTrue(hasattr(experiment, 'isDefault'))
tester.assertTrue(hasattr(experiment, 'name'))
def validate_experiment_run_struct(experiment_run, tester):
tester.assertTrue(hasattr(experiment_run, 'id'))
tester.assertTrue(hasattr(experiment_run, 'experimentId'))
tester.assertTrue(hasattr(experiment_run, 'description'))
def validate_transformer_spec_struct(spec, tester):
tester.assertTrue(hasattr(spec, 'id'))
tester.assertTrue(hasattr(spec, 'transformerType'))
tester.assertTrue(hasattr(spec, 'hyperparameters'))
tester.assertTrue(hasattr(spec, 'tag'))
def validate_transform_event_struct(transformEvent, tester):
tester.assertTrue(hasattr(transformEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'newDataFrame'))
tester.assertTrue(hasattr(transformEvent, 'transformer'))
tester.assertTrue(hasattr(transformEvent, 'inputColumns'))
tester.assertTrue(hasattr(transformEvent, 'outputColumns'))
tester.assertTrue(hasattr(transformEvent, 'experimentRunId'))
tester.assertTrue(type(transformEvent.experimentRunId), 'int')
def validate_dataframe_struct(dataframe, tester):
tester.assertTrue(hasattr(dataframe, 'numRows'))
tester.assertTrue(hasattr(dataframe, 'tag'))
tester.assertTrue(hasattr(dataframe, 'id'))
tester.assertTrue(hasattr(dataframe, 'schema'))
def validate_transformer_struct(transformer, tester):
tester.assertTrue(hasattr(transformer, 'id'))
tester.assertTrue(hasattr(transformer, 'transformerType'))
tester.assertTrue(hasattr(transformer, 'tag'))
def validate_pipeline_event_struct(pipelineEvent, tester):
tester.assertTrue(hasattr(pipelineEvent, 'pipelineFit'))
tester.assertTrue(hasattr(pipelineEvent, 'transformStages'))
tester.assertTrue(hasattr(pipelineEvent, 'fitStages'))
tester.assertTrue(hasattr(pipelineEvent, 'experimentRunId'))
def validate_pipeline_fit_stages(fitStages, tester):
count = 0
for stage in fitStages:
tester.assertTrue(hasattr(stage, 'fe'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_fit_event_struct(stage.fe, tester)
count += 1
def validate_pipeline_transform_stages(transformStages, tester):
count = 0
for stage in transformStages:
tester.assertTrue(hasattr(stage, 'te'))
tester.assertTrue(hasattr(stage, 'stageNumber'))
tester.assertEqual(stage.stageNumber, count)
validate_transform_event_struct(stage.te, tester)
count += 1
def validate_random_split_event_struct(random_splitEvent, tester):
tester.assertTrue(hasattr(random_splitEvent, 'oldDataFrame'))
tester.assertTrue(hasattr(random_splitEvent, 'weights'))
tester.assertTrue(hasattr(random_splitEvent, 'seed'))
tester.assertTrue(hasattr(random_splitEvent, 'splitDataFrames'))
tester.assertTrue(hasattr(random_splitEvent, 'experimentRunId'))
def validate_metric_event_struct(metric_event, tester):
tester.assertTrue(hasattr(metric_event, 'df'))
tester.assertTrue(hasattr(metric_event, 'model'))
tester.assertTrue(hasattr(metric_event, 'metricType'))
tester.assertTrue(hasattr(metric_event, 'metricValue'))
tester.assertTrue(hasattr(metric_event, 'labelCol'))
tester.assertTrue(hasattr(metric_event, 'predictionCol'))
tester.assertTrue(hasattr(metric_event, 'experimentRunId'))
def validate_grid_search_cv_event(gridcvEvent, tester):
tester.assertTrue(hasattr(gridcvEvent, 'numFolds'))
tester.assertTrue(hasattr(gridcvEvent, 'bestFit'))
tester.assertTrue(hasattr(gridcvEvent, 'crossValidations'))
tester.assertTrue(hasattr(gridcvEvent, 'experimentRunId'))
def validate_cross_validate_event(cvEvent, tester):
tester.assertTrue(hasattr(cvEvent, 'df'))
tester.assertTrue(hasattr(cvEvent, 'spec'))
tester.assertTrue(hasattr(cvEvent, 'seed'))
tester.assertTrue(hasattr(cvEvent, 'evaluator'))
tester.assertTrue(hasattr(cvEvent, 'labelColumns'))
tester.assertTrue(hasattr(cvEvent, 'predictionColumns'))
tester.assertTrue(hasattr(cvEvent, 'featureColumns'))
tester.assertTrue(hasattr(cvEvent, 'folds'))
tester.assertTrue(hasattr(cvEvent, 'experimentRunId'))
def validate_cross_validation_fold(cvFold, tester):
tester.assertTrue(hasattr(cvFold, 'model'))
tester.assertTrue(hasattr(cvFold, 'validationDf'))
tester.assertTrue(hasattr(cvFold, 'trainingDf'))
tester.assertTrue(hasattr(cvFold, 'score'))
def is_equal_dataframe(dataframe1, dataframe2, tester):
tester.assertEqual(dataframe1.numRows, dataframe2.numRows)
tester.assertEqual(dataframe1.tag, dataframe2.tag)
tester.assertEqual(dataframe1.id, dataframe2.id)
tester.assertEqual(len(dataframe1.schema), len(dataframe2.schema))
for i in range(len(dataframe1.schema)):
tester.assertEqual(dataframe1.schema[i].name, dataframe2.schema[i].name)
tester.assertEqual(dataframe1.schema[i].type, dataframe2.schema[i].type)
def is_equal_transformer_spec(spec1, spec2, tester):
tester.assertEqual(spec1.id, spec2.id)
tester.assertEqual(spec1.transformerType, spec2.transformerType)
tester.assertEqual(spec1.tag, spec2.tag)
tester.assertEqual(len(spec1.hyperparameters), len(spec2.hyperparameters))
for i in range(len(spec1.hyperparameters)):
tester.assertTrue(spec1.hyperparameters[i] in spec2.hyperparameters)
def is_equal_transformer(model1, model2, tester):
tester.assertEqual(model1.id, model2.id)
tester.assertEqual(model1.transformerType, model2.transformerType)
tester.assertEqual(model1.tag, model2.tag)
def is_equal_project(project1, project2, tester):
tester.assertEqual(project1.id, project2.id)
tester.assertEqual(project1.name, project2.name)
tester.assertEqual(project1.author, project2.author)
tester.assertEqual(project1.description, project2.description)
def is_equal_experiment(experiment1, experiment2, tester):
tester.assertEqual(experiment1.id, experiment2.id)
tester.assertEqual(experiment1.projectId, experiment2.projectId)
tester.assertEqual(experiment1.name, experiment2.name)
tester.assertEqual(experiment1.description, experiment2.description)
tester.assertEqual(experiment1.isDefault, experiment2.isDefault)
def is_equal_experiment_run(expRun1, expRun2, tester):
tester.assertEqual(expRun1.id, expRun2.id)
tester.assertEqual(expRun1.experimentId, expRun2.experimentId)
tester.assertEqual(expRun1.description, expRun2.description) |
class JumpHistory(object):
def __init__(self):
self._history = [ ]
self._pos = 0
def __len__(self):
return len(self._history)
def jump_to(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def record_address(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def trim(self):
self._history = self._history[ : self._pos + 1]
def backtrack(self):
if self._pos > 0:
self._pos -= 1
if self._pos >= len(self._history):
return None
else:
return self._history[self._pos]
def forwardstep(self):
if self._pos < len(self._history) - 1:
self._pos += 1
if self._pos < len(self._history):
return self._history[self._pos]
else:
return None
| class Jumphistory(object):
def __init__(self):
self._history = []
self._pos = 0
def __len__(self):
return len(self._history)
def jump_to(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def record_address(self, addr):
if self._pos != len(self._history) - 1:
self.trim()
if not self._history or self._history[-1] != addr:
self._history.append(addr)
self._pos = len(self._history) - 1
def trim(self):
self._history = self._history[:self._pos + 1]
def backtrack(self):
if self._pos > 0:
self._pos -= 1
if self._pos >= len(self._history):
return None
else:
return self._history[self._pos]
def forwardstep(self):
if self._pos < len(self._history) - 1:
self._pos += 1
if self._pos < len(self._history):
return self._history[self._pos]
else:
return None |
# Given a string s, find the longest palindromic substring in s
# --- Example
# Input: "babad"
# Output: "bab"
# Note: "aba" is also a valid answer.
# Time: O(n^2) | Space: O(1)
# Time complexity: O(n^2) Since expanding a palindrome around its center could take up to O(n), and we do this for each character.
class Solution:
def longestPalindrome(self, s):
res = ""
for i in range(len(s)):
current = self.expand_around_middle(s, i - 1, i + 1)
in_between = self.expand_around_middle(s, i, i + 1)
res = max(res, current, in_between, key=len)
return res
def expand_around_middle(self, s, left, right):
while left >= 0 and right < len(s) and s[left] == s[right]:
left -= 1
right += 1
return s[left + 1: right]
print(Solution().longestPalindrome('babad')) | class Solution:
def longest_palindrome(self, s):
res = ''
for i in range(len(s)):
current = self.expand_around_middle(s, i - 1, i + 1)
in_between = self.expand_around_middle(s, i, i + 1)
res = max(res, current, in_between, key=len)
return res
def expand_around_middle(self, s, left, right):
while left >= 0 and right < len(s) and (s[left] == s[right]):
left -= 1
right += 1
return s[left + 1:right]
print(solution().longestPalindrome('babad')) |
"""
AOC2020 - day3
"""
FILEPATH = "./day3.txt"
MAP = []
ROWLEN = 0
def doFall(down, right):
cnt = 0
myRight = 0
for ind in range(down, len(MAP), down):
myRight += right
if myRight >= ROWLEN:
myRight -= ROWLEN
if MAP[ind][myRight] == '#':
cnt += 1
return cnt
with open(FILEPATH) as fp:
MAP = fp.readlines()
# python counts the endline as a character; need to trim
for i, line in enumerate(MAP):
MAP[i] = line[0:-1]
ROWLEN = len(MAP[0])
print(doFall(1, 1))
print(doFall(1, 3))
print(doFall(1, 5))
print(doFall(1, 7))
print(doFall(2, 1))
print(doFall(1, 1) * doFall(1, 3) * doFall(1, 5)
* doFall(1, 7) * doFall(2, 1))
| """
AOC2020 - day3
"""
filepath = './day3.txt'
map = []
rowlen = 0
def do_fall(down, right):
cnt = 0
my_right = 0
for ind in range(down, len(MAP), down):
my_right += right
if myRight >= ROWLEN:
my_right -= ROWLEN
if MAP[ind][myRight] == '#':
cnt += 1
return cnt
with open(FILEPATH) as fp:
map = fp.readlines()
for (i, line) in enumerate(MAP):
MAP[i] = line[0:-1]
rowlen = len(MAP[0])
print(do_fall(1, 1))
print(do_fall(1, 3))
print(do_fall(1, 5))
print(do_fall(1, 7))
print(do_fall(2, 1))
print(do_fall(1, 1) * do_fall(1, 3) * do_fall(1, 5) * do_fall(1, 7) * do_fall(2, 1)) |
#!python
def linear_search(array, item):
"""return the first index of item in array or None if item is not found"""
# implement linear_search_iterative and linear_search_recursive below, then
# change this to call your implementation to verify it passes all tests
# return linear_search_iterative(array, item)
return linear_search_recursive(array, item)
def linear_search_iterative(array, item):
# loop over all array values until item is found
# Time complexity: O(n)
for index, value in enumerate(array):
if item == value:
return index # found
return None # not found
def linear_search_recursive(array, item, index=0):
# TODO: implement linear search recursively here
# Time complexity: O(n)
if array[index] == item:
return index
elif index == len(array) - 1:
return None
else:
return linear_search_recursive(array, item, index + 1)
# once implemented, change linear_search to call linear_search_recursive
# to verify that your recursive implementation passes all tests
def binary_search(array, item):
"""return the index of item in sorted array or None if item is not found"""
# implement binary_search_iterative and binary_search_recursive below, then
# change this to call your implementation to verify it passes all tests
#return binary_search_iterative(array, item)
return binary_search_recursive(array, item)
def binary_search_iterative(array, item):
# TODO: implement binary search iteratively here
# Time complexity: O(log(2)n)
left = 0
right = len(array) - 1
while left <= right:
mid = left + (right - left) // 2
mid_item = array[mid]
if mid_item < item:
left= mid + 1
elif mid_item == item:
return mid
elif mid_item < item:
left= mid + 1
else:
right = mid - 1
return None
# once implemented, change binary_search to call binary_search_iterative
# to verify that your iterative implementation passes all tests
def binary_search_recursive(array, item, left=None, right=None):
# TODO: implement binary search recursively here
# Time complexity: O(log(2)n)
if left is None and right is None:
left = 0
right = len(array) - 1
if left > right:
return None
mid = (right + left) // 2
if array[mid] == item:
return mid
elif array[mid] < item:
return binary_search_recursive(array, item, mid + 1, right)
elif array[mid] > item:
return binary_search_recursive(array, item, left, mid - 1)
# once implemented, change binary_search to call binary_search_recursive
# to verify that your recursive implementation passes all tests
# return binary_search_recursive()
| def linear_search(array, item):
"""return the first index of item in array or None if item is not found"""
return linear_search_recursive(array, item)
def linear_search_iterative(array, item):
for (index, value) in enumerate(array):
if item == value:
return index
return None
def linear_search_recursive(array, item, index=0):
if array[index] == item:
return index
elif index == len(array) - 1:
return None
else:
return linear_search_recursive(array, item, index + 1)
def binary_search(array, item):
"""return the index of item in sorted array or None if item is not found"""
return binary_search_recursive(array, item)
def binary_search_iterative(array, item):
left = 0
right = len(array) - 1
while left <= right:
mid = left + (right - left) // 2
mid_item = array[mid]
if mid_item < item:
left = mid + 1
elif mid_item == item:
return mid
elif mid_item < item:
left = mid + 1
else:
right = mid - 1
return None
def binary_search_recursive(array, item, left=None, right=None):
if left is None and right is None:
left = 0
right = len(array) - 1
if left > right:
return None
mid = (right + left) // 2
if array[mid] == item:
return mid
elif array[mid] < item:
return binary_search_recursive(array, item, mid + 1, right)
elif array[mid] > item:
return binary_search_recursive(array, item, left, mid - 1) |
def res(x):
a=[]
i=1
for c in x:
a.append(c+i)
i+=1
return a
n=int(input())
x=list(map(int,input().split()))
x.sort(reverse=True)
a=res(x)
print(max(a)+1)
| def res(x):
a = []
i = 1
for c in x:
a.append(c + i)
i += 1
return a
n = int(input())
x = list(map(int, input().split()))
x.sort(reverse=True)
a = res(x)
print(max(a) + 1) |
"""
Copyright (C) 2017 Open Source Robotics Foundation
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.
"""
class AbstractCityBuilder(object):
def name(self):
return self.__class__.__name__
def get_city(self):
city = self._buid_city()
city.put_metadata('builder', self)
return city
def required_licence(self):
return None
def _buid_city(self):
raise NotImplementedError()
| """
Copyright (C) 2017 Open Source Robotics Foundation
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.
"""
class Abstractcitybuilder(object):
def name(self):
return self.__class__.__name__
def get_city(self):
city = self._buid_city()
city.put_metadata('builder', self)
return city
def required_licence(self):
return None
def _buid_city(self):
raise not_implemented_error() |
# B_R_R
# M_S_A_W
def fibonacci(num):
if num==0:
return 0
elif num==1:
return 1
else:
return fibonacci(num-1)+fibonacci(num-2)
inp_val=int(input("How many numbers: "))
i=1
while i<inp_val:
fibValue=fibonacci(i)
print(fibValue)
i+=1
print("All Done")
| def fibonacci(num):
if num == 0:
return 0
elif num == 1:
return 1
else:
return fibonacci(num - 1) + fibonacci(num - 2)
inp_val = int(input('How many numbers: '))
i = 1
while i < inp_val:
fib_value = fibonacci(i)
print(fibValue)
i += 1
print('All Done') |
"""
PASSENGERS
"""
numPassengers = 34399
passenger_arriving = (
(9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), # 0
(6, 9, 9, 6, 5, 1, 3, 5, 3, 1, 3, 0, 0, 9, 7, 4, 4, 7, 4, 3, 5, 5, 2, 2, 0, 0), # 1
(11, 13, 5, 10, 9, 2, 5, 2, 3, 1, 4, 1, 0, 14, 7, 7, 6, 15, 4, 3, 6, 3, 1, 2, 1, 0), # 2
(14, 17, 9, 10, 8, 2, 4, 9, 2, 1, 2, 1, 0, 3, 8, 6, 6, 12, 3, 3, 2, 4, 2, 2, 2, 0), # 3
(18, 8, 9, 9, 9, 4, 9, 6, 5, 6, 0, 0, 0, 6, 13, 8, 3, 7, 9, 3, 4, 3, 0, 3, 2, 0), # 4
(20, 9, 11, 10, 11, 5, 4, 9, 2, 3, 1, 1, 0, 16, 7, 11, 5, 9, 10, 4, 4, 5, 4, 1, 2, 0), # 5
(11, 14, 13, 9, 8, 4, 3, 3, 2, 0, 1, 1, 0, 13, 10, 15, 6, 10, 9, 6, 5, 6, 3, 1, 0, 0), # 6
(21, 16, 18, 13, 11, 4, 2, 4, 8, 1, 2, 1, 0, 11, 10, 3, 10, 11, 13, 5, 4, 5, 1, 2, 2, 0), # 7
(13, 17, 15, 12, 5, 4, 11, 4, 6, 2, 4, 1, 0, 11, 12, 11, 7, 12, 11, 8, 2, 3, 5, 1, 1, 0), # 8
(13, 14, 15, 12, 13, 7, 9, 9, 9, 2, 2, 1, 0, 13, 14, 4, 8, 10, 10, 8, 3, 5, 7, 2, 0, 0), # 9
(15, 14, 14, 10, 7, 7, 7, 7, 5, 0, 1, 1, 0, 8, 10, 12, 12, 10, 7, 3, 2, 3, 2, 6, 1, 0), # 10
(18, 9, 13, 12, 10, 2, 10, 3, 10, 4, 3, 3, 0, 14, 16, 10, 10, 13, 17, 7, 4, 8, 5, 10, 1, 0), # 11
(16, 22, 13, 16, 11, 5, 8, 7, 4, 4, 2, 3, 0, 8, 17, 10, 8, 12, 5, 4, 1, 8, 3, 1, 2, 0), # 12
(17, 23, 9, 19, 15, 3, 12, 7, 7, 1, 3, 2, 0, 15, 10, 5, 13, 15, 7, 6, 5, 4, 9, 7, 3, 0), # 13
(15, 29, 14, 10, 8, 5, 4, 9, 7, 3, 1, 1, 0, 16, 14, 11, 12, 11, 7, 7, 3, 7, 4, 2, 1, 0), # 14
(24, 18, 7, 17, 15, 3, 10, 9, 8, 1, 3, 3, 0, 24, 15, 10, 13, 9, 9, 8, 2, 7, 2, 4, 2, 0), # 15
(26, 18, 12, 17, 11, 8, 4, 6, 11, 0, 3, 0, 0, 23, 12, 13, 5, 9, 9, 11, 1, 10, 2, 0, 0, 0), # 16
(10, 16, 14, 23, 12, 3, 11, 13, 9, 5, 2, 1, 0, 21, 18, 16, 10, 8, 9, 10, 5, 5, 2, 4, 1, 0), # 17
(20, 14, 14, 13, 14, 3, 5, 14, 9, 1, 1, 0, 0, 17, 11, 20, 6, 12, 13, 7, 2, 8, 4, 3, 0, 0), # 18
(21, 24, 16, 15, 8, 4, 7, 9, 10, 5, 0, 0, 0, 13, 18, 12, 8, 22, 8, 4, 7, 5, 6, 3, 2, 0), # 19
(22, 21, 16, 7, 10, 10, 9, 11, 7, 3, 2, 2, 0, 12, 17, 20, 12, 11, 8, 8, 5, 8, 9, 4, 0, 0), # 20
(14, 17, 19, 17, 16, 6, 7, 5, 5, 4, 3, 2, 0, 13, 21, 9, 16, 17, 5, 4, 4, 6, 4, 4, 2, 0), # 21
(20, 12, 15, 16, 14, 8, 4, 11, 5, 0, 3, 0, 0, 21, 13, 12, 11, 17, 10, 8, 3, 7, 4, 6, 2, 0), # 22
(18, 17, 13, 19, 11, 9, 8, 8, 8, 2, 3, 1, 0, 14, 26, 11, 9, 19, 13, 12, 8, 7, 7, 4, 2, 0), # 23
(8, 19, 17, 11, 16, 6, 5, 9, 8, 4, 0, 0, 0, 21, 17, 14, 11, 10, 14, 10, 5, 5, 5, 4, 0, 0), # 24
(17, 25, 14, 11, 9, 3, 11, 6, 3, 1, 3, 0, 0, 18, 20, 12, 8, 16, 10, 4, 12, 8, 1, 3, 1, 0), # 25
(17, 16, 17, 12, 16, 7, 9, 8, 10, 4, 1, 2, 0, 21, 21, 6, 16, 7, 13, 7, 5, 7, 7, 2, 2, 0), # 26
(19, 13, 11, 16, 12, 6, 10, 7, 7, 3, 1, 2, 0, 15, 20, 9, 13, 11, 5, 8, 2, 5, 10, 1, 5, 0), # 27
(18, 19, 9, 16, 16, 6, 4, 3, 5, 3, 1, 3, 0, 18, 17, 16, 7, 15, 9, 9, 5, 8, 3, 3, 2, 0), # 28
(20, 15, 14, 12, 17, 6, 8, 4, 4, 4, 3, 1, 0, 13, 23, 14, 9, 23, 5, 11, 8, 6, 4, 5, 2, 0), # 29
(16, 17, 22, 14, 20, 6, 3, 8, 4, 3, 3, 2, 0, 14, 21, 21, 10, 7, 10, 7, 4, 7, 9, 3, 0, 0), # 30
(21, 15, 19, 9, 9, 12, 11, 8, 7, 3, 4, 0, 0, 15, 22, 17, 5, 14, 6, 10, 5, 3, 7, 4, 0, 0), # 31
(15, 16, 11, 17, 8, 9, 5, 9, 6, 1, 2, 1, 0, 21, 14, 12, 8, 20, 6, 12, 7, 5, 5, 2, 2, 0), # 32
(15, 16, 9, 12, 11, 10, 6, 2, 6, 5, 2, 3, 0, 20, 13, 13, 9, 15, 6, 8, 3, 5, 3, 7, 1, 0), # 33
(17, 17, 9, 20, 18, 5, 5, 6, 7, 1, 3, 3, 0, 17, 14, 10, 16, 19, 7, 5, 6, 7, 6, 5, 0, 0), # 34
(23, 14, 18, 17, 14, 4, 9, 8, 10, 6, 3, 1, 0, 17, 23, 6, 13, 17, 11, 13, 5, 8, 5, 3, 1, 0), # 35
(22, 16, 18, 16, 9, 9, 8, 9, 8, 3, 4, 1, 0, 13, 15, 17, 12, 16, 12, 6, 2, 7, 9, 5, 1, 0), # 36
(19, 17, 15, 16, 9, 4, 5, 7, 10, 3, 5, 1, 0, 27, 14, 12, 7, 13, 5, 6, 4, 8, 5, 2, 1, 0), # 37
(22, 24, 16, 17, 12, 11, 1, 5, 8, 6, 3, 3, 0, 25, 10, 8, 14, 17, 8, 3, 2, 10, 6, 5, 6, 0), # 38
(25, 14, 13, 24, 17, 12, 8, 7, 11, 3, 3, 1, 0, 19, 17, 19, 6, 18, 6, 8, 1, 7, 6, 3, 0, 0), # 39
(17, 23, 14, 16, 10, 6, 4, 9, 6, 1, 3, 2, 0, 22, 11, 14, 12, 10, 9, 7, 3, 11, 10, 0, 1, 0), # 40
(18, 22, 16, 11, 13, 4, 5, 7, 7, 8, 2, 1, 0, 12, 19, 13, 10, 12, 7, 10, 9, 10, 5, 2, 1, 0), # 41
(19, 18, 16, 18, 12, 8, 10, 8, 7, 1, 4, 1, 0, 13, 25, 14, 7, 16, 15, 5, 3, 5, 6, 5, 3, 0), # 42
(19, 13, 18, 12, 15, 4, 6, 8, 10, 3, 5, 1, 0, 17, 15, 8, 13, 19, 8, 4, 3, 7, 1, 3, 1, 0), # 43
(21, 13, 10, 22, 15, 7, 8, 4, 11, 2, 0, 1, 0, 15, 18, 11, 12, 13, 4, 8, 5, 4, 5, 2, 2, 0), # 44
(24, 20, 19, 15, 18, 6, 6, 6, 12, 3, 3, 3, 0, 16, 13, 18, 15, 19, 10, 7, 1, 9, 8, 3, 2, 0), # 45
(22, 10, 18, 19, 20, 0, 8, 11, 6, 0, 4, 2, 0, 20, 17, 7, 12, 11, 10, 5, 4, 3, 4, 2, 3, 0), # 46
(19, 13, 22, 16, 17, 3, 5, 5, 5, 2, 3, 2, 0, 15, 16, 16, 5, 13, 14, 12, 3, 11, 6, 7, 1, 0), # 47
(20, 21, 12, 13, 15, 8, 8, 6, 6, 4, 3, 0, 0, 22, 15, 15, 8, 13, 8, 14, 2, 11, 7, 5, 0, 0), # 48
(27, 16, 18, 13, 14, 6, 3, 10, 8, 1, 1, 3, 0, 17, 11, 13, 8, 9, 9, 10, 7, 4, 6, 3, 1, 0), # 49
(18, 24, 14, 17, 18, 4, 6, 7, 4, 3, 1, 0, 0, 16, 15, 15, 6, 25, 9, 8, 6, 3, 6, 4, 1, 0), # 50
(11, 20, 17, 26, 14, 6, 5, 3, 12, 4, 0, 2, 0, 14, 18, 9, 11, 16, 11, 3, 5, 12, 2, 1, 2, 0), # 51
(19, 17, 14, 18, 12, 7, 4, 8, 8, 2, 4, 2, 0, 23, 16, 13, 11, 12, 5, 8, 6, 5, 6, 1, 2, 0), # 52
(14, 13, 20, 15, 14, 12, 11, 3, 8, 3, 3, 5, 0, 9, 9, 15, 16, 8, 13, 8, 4, 5, 6, 2, 1, 0), # 53
(27, 20, 17, 17, 14, 6, 8, 7, 8, 2, 1, 0, 0, 19, 19, 13, 9, 10, 4, 9, 3, 4, 4, 3, 2, 0), # 54
(23, 25, 14, 11, 21, 7, 4, 6, 11, 4, 0, 0, 0, 22, 16, 7, 6, 16, 10, 9, 3, 8, 10, 3, 2, 0), # 55
(16, 17, 17, 15, 13, 6, 7, 5, 6, 1, 3, 1, 0, 16, 16, 15, 2, 12, 12, 9, 6, 6, 5, 0, 3, 0), # 56
(17, 16, 16, 18, 18, 6, 4, 2, 5, 1, 3, 1, 0, 17, 16, 12, 9, 14, 16, 7, 4, 8, 12, 2, 1, 0), # 57
(19, 16, 13, 12, 8, 6, 9, 7, 4, 2, 4, 4, 0, 18, 7, 10, 14, 24, 11, 5, 6, 6, 4, 2, 2, 0), # 58
(20, 18, 17, 16, 13, 8, 7, 9, 3, 2, 2, 0, 0, 13, 9, 14, 11, 18, 9, 9, 4, 9, 3, 2, 0, 0), # 59
(19, 21, 24, 16, 17, 10, 6, 2, 10, 2, 2, 4, 0, 18, 13, 14, 7, 12, 7, 1, 4, 4, 5, 2, 3, 0), # 60
(28, 23, 15, 16, 15, 9, 7, 6, 10, 1, 0, 1, 0, 18, 17, 16, 11, 16, 10, 8, 6, 4, 8, 1, 1, 0), # 61
(20, 15, 9, 19, 9, 16, 9, 5, 10, 4, 0, 0, 0, 20, 16, 12, 10, 20, 7, 4, 4, 4, 6, 6, 2, 0), # 62
(10, 13, 13, 23, 10, 8, 6, 5, 8, 1, 3, 0, 0, 16, 12, 18, 10, 13, 5, 5, 5, 5, 5, 1, 1, 0), # 63
(9, 15, 18, 21, 16, 3, 12, 6, 5, 6, 2, 0, 0, 24, 13, 15, 16, 16, 5, 6, 6, 8, 3, 4, 2, 0), # 64
(19, 15, 12, 12, 14, 8, 11, 6, 7, 6, 1, 1, 0, 15, 15, 9, 8, 10, 7, 6, 2, 11, 2, 7, 0, 0), # 65
(21, 16, 18, 14, 13, 4, 12, 3, 4, 6, 1, 1, 0, 15, 20, 12, 6, 15, 8, 4, 3, 3, 5, 6, 0, 0), # 66
(15, 15, 16, 14, 12, 2, 10, 5, 4, 3, 6, 4, 0, 20, 20, 17, 8, 14, 6, 9, 7, 9, 5, 3, 1, 0), # 67
(28, 24, 14, 17, 17, 9, 2, 5, 3, 3, 5, 1, 0, 11, 18, 18, 6, 11, 11, 6, 7, 6, 3, 2, 0, 0), # 68
(7, 18, 11, 12, 10, 1, 4, 5, 8, 2, 3, 2, 0, 14, 15, 9, 14, 20, 5, 9, 5, 5, 4, 3, 6, 0), # 69
(16, 13, 14, 31, 15, 5, 4, 7, 5, 0, 5, 0, 0, 18, 17, 9, 14, 10, 3, 3, 4, 4, 11, 5, 0, 0), # 70
(16, 12, 13, 11, 9, 3, 3, 8, 6, 3, 3, 3, 0, 24, 24, 16, 4, 17, 7, 8, 0, 7, 6, 4, 0, 0), # 71
(31, 14, 16, 11, 17, 6, 7, 3, 4, 1, 1, 3, 0, 17, 15, 15, 14, 17, 3, 6, 6, 7, 6, 4, 3, 0), # 72
(13, 16, 11, 14, 14, 4, 9, 4, 7, 5, 1, 1, 0, 14, 7, 17, 12, 14, 4, 5, 11, 6, 4, 5, 2, 0), # 73
(23, 16, 13, 12, 22, 8, 10, 4, 6, 2, 2, 0, 0, 21, 13, 21, 7, 13, 10, 4, 4, 9, 9, 4, 2, 0), # 74
(21, 20, 12, 25, 17, 4, 7, 6, 6, 1, 1, 0, 0, 15, 26, 17, 10, 19, 8, 5, 5, 2, 4, 2, 0, 0), # 75
(16, 13, 23, 15, 10, 4, 5, 9, 8, 1, 3, 1, 0, 12, 17, 11, 5, 6, 6, 3, 6, 10, 4, 2, 1, 0), # 76
(12, 10, 17, 16, 9, 5, 7, 8, 8, 3, 2, 1, 0, 10, 13, 16, 7, 16, 3, 5, 3, 4, 4, 4, 1, 0), # 77
(20, 14, 17, 19, 18, 9, 6, 3, 9, 2, 3, 2, 0, 19, 18, 14, 11, 24, 8, 7, 6, 7, 5, 4, 1, 0), # 78
(24, 13, 12, 14, 9, 6, 8, 4, 5, 4, 3, 1, 0, 20, 12, 8, 7, 20, 4, 7, 7, 4, 2, 3, 3, 0), # 79
(27, 14, 14, 13, 11, 4, 7, 4, 7, 4, 2, 0, 0, 12, 13, 11, 5, 16, 6, 10, 6, 8, 6, 3, 2, 0), # 80
(19, 14, 16, 17, 17, 8, 3, 8, 8, 1, 4, 2, 0, 29, 16, 17, 15, 16, 12, 3, 5, 10, 1, 9, 0, 0), # 81
(20, 15, 12, 21, 15, 4, 10, 7, 11, 4, 1, 2, 0, 16, 16, 7, 4, 13, 7, 5, 5, 6, 3, 5, 3, 0), # 82
(12, 12, 10, 10, 6, 11, 4, 7, 10, 3, 2, 0, 0, 11, 14, 10, 9, 18, 7, 6, 1, 5, 4, 2, 0, 0), # 83
(21, 15, 14, 14, 7, 7, 4, 5, 7, 1, 3, 1, 0, 20, 12, 9, 10, 17, 7, 7, 5, 8, 8, 4, 1, 0), # 84
(16, 10, 18, 18, 9, 2, 5, 7, 6, 2, 1, 2, 0, 14, 10, 10, 9, 16, 4, 5, 2, 7, 5, 1, 1, 0), # 85
(17, 17, 24, 18, 17, 6, 5, 6, 6, 2, 2, 0, 0, 15, 20, 10, 4, 14, 7, 5, 6, 8, 5, 4, 2, 0), # 86
(20, 13, 19, 18, 13, 5, 5, 3, 8, 3, 2, 0, 0, 17, 19, 10, 6, 10, 7, 6, 7, 5, 2, 2, 2, 0), # 87
(12, 14, 19, 13, 16, 7, 8, 1, 9, 4, 0, 1, 0, 19, 11, 11, 4, 13, 9, 3, 4, 2, 4, 1, 1, 0), # 88
(22, 10, 19, 25, 16, 3, 7, 6, 10, 3, 0, 0, 0, 21, 18, 10, 11, 17, 5, 4, 2, 11, 5, 3, 2, 0), # 89
(26, 12, 14, 15, 14, 3, 6, 7, 12, 4, 1, 0, 0, 18, 19, 11, 7, 14, 7, 3, 3, 9, 4, 4, 3, 0), # 90
(17, 15, 14, 22, 15, 5, 3, 5, 12, 1, 2, 0, 0, 17, 11, 9, 8, 18, 5, 6, 4, 5, 4, 3, 1, 0), # 91
(20, 16, 6, 18, 6, 11, 5, 5, 7, 5, 4, 0, 0, 21, 16, 9, 4, 11, 7, 5, 2, 9, 9, 1, 3, 0), # 92
(16, 15, 25, 20, 9, 6, 12, 0, 7, 4, 0, 1, 0, 19, 11, 8, 15, 6, 6, 9, 6, 7, 5, 3, 2, 0), # 93
(25, 12, 16, 15, 26, 5, 5, 3, 11, 3, 4, 1, 0, 23, 10, 11, 8, 8, 14, 6, 3, 6, 5, 3, 4, 0), # 94
(19, 15, 12, 18, 15, 4, 5, 6, 8, 2, 1, 2, 0, 20, 9, 5, 9, 9, 9, 5, 3, 5, 3, 7, 0, 0), # 95
(13, 10, 10, 12, 15, 7, 2, 8, 4, 1, 6, 2, 0, 11, 10, 10, 8, 12, 8, 3, 2, 8, 5, 3, 3, 0), # 96
(24, 12, 13, 17, 11, 4, 11, 6, 8, 5, 0, 2, 0, 14, 12, 7, 8, 16, 4, 8, 2, 11, 8, 1, 1, 0), # 97
(17, 13, 15, 20, 20, 8, 4, 1, 8, 2, 2, 4, 0, 18, 18, 12, 5, 19, 7, 5, 5, 7, 5, 5, 0, 0), # 98
(14, 13, 12, 15, 13, 14, 4, 3, 5, 2, 2, 1, 0, 18, 13, 11, 6, 13, 1, 9, 6, 7, 2, 6, 3, 0), # 99
(20, 7, 14, 13, 14, 13, 6, 3, 7, 4, 4, 0, 0, 15, 18, 10, 4, 14, 7, 7, 11, 4, 4, 0, 2, 0), # 100
(17, 15, 17, 14, 7, 3, 6, 5, 10, 0, 3, 1, 0, 13, 12, 13, 11, 18, 6, 7, 3, 5, 4, 1, 1, 0), # 101
(20, 18, 10, 15, 14, 7, 6, 3, 1, 1, 1, 1, 0, 19, 16, 11, 14, 16, 12, 6, 7, 6, 5, 2, 2, 0), # 102
(13, 11, 20, 12, 14, 5, 3, 8, 4, 4, 2, 0, 0, 13, 18, 11, 13, 12, 7, 4, 5, 10, 3, 4, 2, 0), # 103
(13, 13, 11, 17, 9, 7, 5, 3, 5, 4, 0, 1, 0, 16, 13, 11, 8, 12, 9, 4, 5, 6, 4, 3, 0, 0), # 104
(13, 14, 9, 18, 11, 1, 6, 8, 7, 1, 1, 2, 0, 17, 13, 4, 6, 14, 4, 8, 4, 11, 9, 2, 0, 0), # 105
(11, 18, 8, 16, 10, 6, 4, 5, 2, 3, 0, 2, 0, 18, 11, 7, 6, 14, 7, 7, 4, 11, 8, 2, 2, 0), # 106
(9, 11, 16, 12, 11, 9, 5, 3, 3, 4, 1, 0, 0, 19, 12, 14, 6, 8, 7, 8, 7, 5, 2, 3, 1, 0), # 107
(12, 14, 18, 17, 18, 5, 8, 3, 9, 1, 2, 3, 0, 27, 15, 11, 7, 10, 7, 1, 5, 8, 8, 7, 1, 0), # 108
(20, 20, 21, 19, 16, 5, 5, 8, 13, 5, 3, 2, 0, 20, 15, 13, 6, 21, 5, 6, 1, 5, 3, 2, 0, 0), # 109
(21, 19, 16, 7, 12, 6, 4, 5, 13, 3, 3, 0, 0, 14, 9, 8, 10, 13, 3, 6, 3, 5, 5, 5, 2, 0), # 110
(14, 14, 15, 19, 14, 3, 5, 4, 7, 5, 4, 2, 0, 17, 16, 13, 6, 12, 6, 6, 5, 2, 5, 3, 1, 0), # 111
(15, 13, 10, 11, 9, 6, 3, 6, 8, 2, 1, 2, 0, 13, 19, 14, 4, 9, 2, 5, 1, 5, 11, 2, 2, 0), # 112
(21, 15, 17, 18, 6, 6, 2, 6, 8, 4, 3, 2, 0, 12, 13, 12, 11, 12, 13, 7, 4, 10, 3, 4, 1, 0), # 113
(15, 12, 10, 11, 16, 5, 8, 1, 6, 1, 3, 1, 0, 15, 15, 11, 13, 16, 10, 7, 9, 3, 4, 4, 1, 0), # 114
(17, 19, 11, 11, 16, 8, 5, 8, 4, 2, 3, 2, 0, 16, 18, 16, 4, 12, 1, 4, 7, 7, 5, 2, 0, 0), # 115
(19, 12, 8, 12, 14, 6, 6, 3, 5, 5, 3, 1, 0, 19, 11, 10, 7, 14, 6, 9, 3, 10, 2, 2, 0, 0), # 116
(20, 13, 12, 18, 15, 6, 9, 5, 7, 0, 2, 3, 0, 26, 21, 12, 5, 10, 8, 3, 7, 8, 7, 4, 0, 0), # 117
(15, 10, 10, 17, 13, 5, 7, 4, 3, 2, 0, 1, 0, 9, 14, 10, 4, 12, 7, 6, 2, 7, 4, 2, 0, 0), # 118
(17, 14, 11, 16, 10, 4, 3, 5, 11, 3, 0, 2, 0, 14, 15, 4, 10, 9, 6, 6, 1, 6, 9, 1, 2, 0), # 119
(17, 4, 17, 19, 10, 9, 5, 3, 10, 3, 1, 0, 0, 25, 13, 9, 9, 12, 8, 3, 4, 4, 9, 4, 1, 0), # 120
(19, 13, 12, 12, 20, 7, 3, 1, 6, 5, 2, 1, 0, 10, 15, 13, 7, 13, 5, 6, 4, 3, 4, 0, 2, 0), # 121
(16, 13, 12, 16, 12, 4, 3, 4, 8, 6, 2, 1, 0, 10, 10, 7, 4, 15, 9, 3, 2, 5, 6, 2, 2, 0), # 122
(19, 9, 10, 13, 12, 5, 2, 3, 6, 2, 4, 1, 0, 10, 13, 7, 8, 22, 1, 3, 6, 3, 3, 2, 0, 0), # 123
(21, 18, 15, 14, 15, 4, 4, 6, 6, 1, 2, 0, 0, 12, 11, 10, 9, 20, 3, 2, 6, 11, 7, 2, 0, 0), # 124
(10, 18, 13, 17, 16, 3, 6, 2, 11, 1, 1, 1, 0, 14, 15, 10, 10, 21, 8, 8, 6, 7, 8, 4, 4, 0), # 125
(13, 8, 11, 10, 9, 7, 3, 5, 9, 3, 4, 2, 0, 12, 10, 8, 12, 9, 7, 6, 6, 6, 5, 2, 0, 0), # 126
(16, 7, 9, 17, 12, 3, 10, 9, 5, 1, 1, 6, 0, 10, 17, 9, 8, 13, 5, 9, 4, 4, 5, 5, 1, 0), # 127
(20, 9, 12, 13, 12, 7, 5, 3, 5, 4, 4, 1, 0, 19, 17, 13, 5, 11, 10, 2, 3, 11, 10, 1, 2, 0), # 128
(11, 18, 15, 14, 13, 5, 8, 7, 5, 3, 1, 1, 0, 17, 20, 9, 9, 15, 11, 7, 5, 3, 3, 5, 1, 0), # 129
(19, 18, 13, 12, 11, 6, 5, 5, 8, 3, 2, 1, 0, 16, 13, 7, 9, 11, 11, 6, 7, 7, 1, 2, 2, 0), # 130
(13, 13, 18, 11, 11, 6, 7, 4, 8, 3, 0, 0, 0, 21, 15, 4, 9, 19, 3, 3, 5, 3, 6, 1, 2, 0), # 131
(13, 7, 8, 16, 15, 4, 5, 10, 10, 4, 2, 1, 0, 7, 13, 14, 5, 6, 4, 3, 3, 4, 5, 4, 2, 0), # 132
(21, 12, 17, 15, 10, 5, 5, 6, 6, 2, 0, 3, 0, 17, 9, 13, 10, 9, 3, 5, 3, 4, 2, 0, 1, 0), # 133
(17, 16, 11, 19, 11, 8, 3, 2, 9, 3, 3, 2, 0, 10, 12, 8, 3, 11, 6, 6, 2, 10, 6, 0, 0, 0), # 134
(17, 6, 17, 10, 9, 6, 3, 7, 7, 2, 2, 0, 0, 9, 12, 8, 7, 10, 10, 2, 4, 5, 4, 1, 2, 0), # 135
(22, 6, 7, 22, 14, 10, 3, 6, 1, 2, 3, 0, 0, 16, 5, 8, 5, 8, 10, 3, 5, 3, 11, 1, 0, 0), # 136
(10, 9, 13, 10, 13, 5, 10, 7, 5, 2, 6, 2, 0, 20, 17, 11, 2, 18, 6, 7, 5, 4, 2, 2, 1, 0), # 137
(12, 9, 14, 23, 14, 8, 7, 3, 7, 5, 1, 0, 0, 15, 13, 10, 7, 7, 3, 9, 4, 4, 0, 3, 2, 0), # 138
(22, 12, 10, 8, 11, 7, 2, 0, 6, 1, 1, 0, 0, 17, 9, 5, 8, 12, 4, 3, 3, 7, 4, 4, 1, 0), # 139
(19, 11, 10, 10, 8, 8, 4, 6, 5, 4, 1, 0, 0, 18, 15, 6, 6, 8, 2, 3, 2, 11, 4, 4, 1, 0), # 140
(20, 12, 14, 12, 10, 5, 6, 2, 6, 1, 1, 2, 0, 15, 19, 10, 9, 17, 5, 5, 7, 4, 3, 1, 1, 0), # 141
(11, 13, 13, 9, 10, 5, 6, 5, 7, 2, 2, 0, 0, 18, 14, 7, 9, 16, 9, 7, 3, 7, 2, 3, 1, 0), # 142
(12, 10, 12, 10, 16, 4, 5, 3, 9, 2, 3, 3, 0, 17, 13, 12, 10, 15, 3, 6, 9, 6, 8, 1, 0, 0), # 143
(15, 11, 12, 10, 11, 4, 7, 7, 5, 1, 1, 0, 0, 18, 13, 8, 3, 21, 3, 6, 8, 1, 5, 4, 2, 0), # 144
(15, 14, 12, 8, 7, 2, 1, 8, 5, 1, 4, 1, 0, 14, 15, 8, 4, 13, 9, 6, 8, 9, 3, 2, 0, 0), # 145
(16, 7, 14, 9, 12, 10, 7, 0, 3, 3, 1, 0, 0, 22, 7, 4, 8, 14, 5, 4, 5, 8, 7, 6, 2, 0), # 146
(14, 8, 16, 18, 8, 4, 4, 2, 8, 1, 2, 2, 0, 15, 12, 8, 10, 9, 4, 6, 5, 9, 7, 3, 0, 0), # 147
(14, 8, 19, 13, 10, 8, 7, 6, 7, 2, 4, 0, 0, 17, 7, 9, 8, 14, 8, 3, 5, 5, 3, 2, 2, 0), # 148
(13, 10, 5, 19, 15, 8, 3, 5, 10, 3, 3, 0, 0, 10, 13, 7, 8, 13, 5, 0, 4, 2, 2, 5, 1, 0), # 149
(17, 10, 7, 10, 14, 6, 5, 7, 5, 3, 4, 1, 0, 13, 12, 5, 9, 12, 7, 4, 5, 4, 2, 3, 0, 0), # 150
(17, 9, 17, 17, 17, 12, 2, 4, 5, 3, 2, 2, 0, 16, 17, 7, 7, 18, 1, 2, 4, 4, 4, 3, 1, 0), # 151
(14, 7, 6, 11, 12, 4, 4, 7, 7, 1, 0, 1, 0, 13, 13, 8, 6, 16, 8, 3, 2, 5, 6, 3, 1, 0), # 152
(15, 9, 15, 8, 12, 2, 2, 3, 6, 0, 3, 3, 0, 17, 17, 6, 5, 11, 10, 6, 5, 8, 3, 2, 0, 0), # 153
(9, 12, 8, 17, 6, 4, 3, 4, 2, 3, 0, 1, 0, 13, 15, 6, 9, 13, 4, 5, 2, 3, 5, 2, 0, 0), # 154
(19, 11, 17, 10, 6, 7, 7, 5, 6, 1, 3, 2, 0, 10, 16, 8, 10, 15, 2, 3, 1, 6, 2, 1, 1, 0), # 155
(8, 7, 11, 13, 12, 4, 6, 2, 9, 2, 0, 1, 0, 12, 17, 5, 6, 8, 5, 2, 5, 6, 4, 1, 2, 0), # 156
(17, 14, 14, 12, 11, 4, 5, 0, 8, 4, 4, 2, 0, 15, 13, 8, 10, 15, 3, 6, 1, 11, 6, 3, 0, 0), # 157
(12, 9, 17, 10, 7, 3, 5, 3, 7, 0, 3, 2, 0, 16, 9, 7, 9, 8, 4, 1, 7, 3, 3, 2, 0, 0), # 158
(10, 9, 15, 21, 14, 7, 2, 6, 4, 2, 1, 1, 0, 11, 19, 10, 9, 19, 3, 3, 1, 8, 1, 3, 0, 0), # 159
(10, 12, 11, 11, 13, 4, 5, 5, 9, 3, 0, 0, 0, 13, 10, 9, 3, 12, 5, 3, 6, 2, 6, 1, 1, 0), # 160
(13, 17, 16, 17, 4, 5, 4, 6, 6, 2, 1, 0, 0, 11, 11, 5, 10, 15, 7, 10, 2, 3, 6, 6, 2, 0), # 161
(10, 7, 11, 6, 8, 9, 4, 8, 3, 1, 3, 5, 0, 15, 10, 8, 5, 12, 5, 4, 2, 0, 1, 1, 0, 0), # 162
(20, 12, 6, 11, 11, 6, 6, 10, 12, 5, 4, 2, 0, 21, 7, 10, 10, 8, 4, 7, 4, 4, 3, 3, 1, 0), # 163
(13, 6, 9, 7, 15, 6, 2, 6, 5, 3, 0, 1, 0, 11, 8, 11, 11, 13, 8, 2, 5, 5, 1, 2, 0, 0), # 164
(16, 11, 14, 11, 13, 2, 4, 2, 5, 2, 1, 0, 0, 9, 11, 4, 10, 13, 3, 4, 4, 4, 2, 3, 1, 0), # 165
(18, 9, 12, 7, 15, 4, 5, 4, 8, 0, 1, 1, 0, 9, 8, 9, 4, 10, 4, 1, 3, 14, 6, 1, 0, 0), # 166
(14, 3, 8, 10, 7, 6, 2, 3, 4, 1, 0, 1, 0, 15, 3, 8, 13, 7, 3, 7, 6, 8, 2, 1, 1, 0), # 167
(14, 8, 7, 12, 7, 8, 1, 1, 2, 0, 3, 3, 0, 17, 8, 1, 6, 11, 4, 2, 0, 3, 0, 2, 0, 0), # 168
(12, 11, 7, 10, 13, 2, 2, 3, 6, 3, 1, 0, 0, 11, 11, 14, 4, 8, 4, 1, 4, 5, 5, 0, 1, 0), # 169
(6, 11, 8, 11, 12, 6, 2, 1, 6, 0, 1, 0, 0, 12, 9, 5, 6, 11, 6, 2, 4, 3, 2, 3, 0, 0), # 170
(6, 6, 12, 10, 10, 5, 1, 1, 3, 1, 1, 1, 0, 12, 11, 2, 3, 4, 1, 2, 3, 3, 3, 1, 0, 0), # 171
(10, 6, 12, 15, 9, 4, 5, 3, 1, 3, 2, 0, 0, 13, 6, 4, 5, 11, 6, 1, 3, 2, 4, 1, 0, 0), # 172
(9, 6, 9, 5, 10, 2, 3, 3, 9, 1, 2, 0, 0, 13, 8, 4, 2, 8, 7, 1, 2, 2, 7, 0, 2, 0), # 173
(9, 5, 7, 11, 10, 4, 2, 2, 3, 2, 0, 1, 0, 11, 5, 6, 1, 6, 8, 3, 0, 6, 4, 0, 0, 0), # 174
(11, 4, 5, 12, 11, 0, 4, 2, 5, 0, 0, 0, 0, 9, 4, 5, 4, 6, 4, 2, 3, 2, 2, 0, 0, 0), # 175
(6, 7, 8, 11, 3, 5, 2, 4, 2, 2, 2, 0, 0, 15, 4, 5, 2, 7, 1, 4, 4, 2, 2, 4, 0, 0), # 176
(6, 3, 7, 6, 3, 3, 1, 0, 3, 2, 0, 1, 0, 4, 5, 4, 8, 10, 4, 0, 3, 4, 2, 1, 0, 0), # 177
(9, 2, 6, 5, 2, 2, 2, 2, 2, 0, 0, 2, 0, 7, 6, 8, 0, 5, 1, 1, 4, 3, 3, 1, 1, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), # 0
(9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), # 1
(10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), # 2
(10.830164027663812, 11.904876903485604, 11.228419564775738, 13.391237533557733, 11.974791016803424, 6.763213120653203, 8.93160655496632, 10.021142083490112, 13.122243289657968, 8.526208857167125, 9.061827141289289, 10.55283423287483, 10.955291051257605), # 3
(11.417645067148767, 12.545865358714394, 11.833007219465467, 14.112519554488625, 12.621860286833686, 7.127516173317602, 9.412098603315226, 10.559397350150848, 13.828863682048873, 8.984800614901822, 9.550033442263036, 11.120937106238575, 11.54553953929167), # 4
(11.996212893630318, 13.176463994898459, 12.427792080754532, 14.822104834296708, 13.258745850058704, 7.485908342564186, 9.884804246505404, 11.088913983344266, 14.524018412366805, 9.435963250653593, 10.030324547784838, 11.679828133021466, 12.126213647339089), # 5
(12.5635358661204, 13.794078133646101, 13.010327151342958, 15.517074276089375, 13.882852393696878, 7.836915606841555, 10.347778271666273, 11.60751472020448, 15.204848463426268, 9.877839946834966, 10.500724434920908, 12.227208052458254, 12.694924867859292), # 6
(13.117282343630944, 14.396113096565637, 13.578165433930742, 16.194508782974033, 14.491584604966597, 8.179063944598298, 10.799075465927253, 12.113022297865593, 15.868494818041759, 10.308573885858456, 10.959257080737483, 12.760777603783673, 13.249284693311735), # 7
(13.655120685173882, 14.979974205265378, 14.128859931217914, 16.85148925805807, 15.082347171086255, 8.510879334283002, 11.236750616417757, 12.603259453461705, 16.512098459027772, 10.726308250136594, 11.403946462300778, 13.278237526232465, 13.786904616155851), # 8
(14.174719249761154, 15.543066781353641, 14.659963645904467, 17.485096604448906, 15.652544779274237, 8.830887754344271, 11.658858510267216, 13.076048924126933, 17.132800369198815, 11.129186222081895, 11.83281655667702, 13.777288559039365, 14.305396128851092), # 9
(14.673746396404677, 16.082796146438728, 15.169029580690424, 18.092411725253918, 16.199582116748942, 9.137615183230693, 12.063453934605038, 13.52921344699538, 17.727741531369386, 11.515350984106886, 12.243891340932432, 14.255631441439114, 14.802370723856898), # 10
(15.149870484116411, 16.596567622128973, 15.653610738275788, 18.670515523580516, 16.72086387072876, 9.429587599390864, 12.44859167656065, 13.960575759201147, 18.294062928353988, 11.882945718624095, 12.635194792133248, 14.710966912666459, 15.2754398936327), # 11
(15.600759871908263, 17.081786530032655, 16.111260121360573, 19.216488902536103, 17.21379472843208, 9.705330981273365, 12.812326523263462, 14.367958597878339, 18.82890554296712, 12.23011360804603, 13.004750887345683, 15.140995711956123, 15.722215130637963), # 12
(16.02408291879218, 17.535858191758116, 16.539530732644792, 19.727412765228078, 17.675779377077284, 9.963371307326803, 13.152713261842901, 14.749184700161067, 19.329410358023278, 12.554997834785228, 13.350583603635965, 15.543418578542857, 16.140307927332124), # 13
(16.41750798378009, 17.95618792891366, 16.935975574828465, 20.20036801476383, 18.10422250388278, 10.202234555999762, 13.46780667942839, 15.102076803183444, 19.79271835633696, 12.855741581254202, 13.670716918070312, 15.915936251661408, 16.527329776174614), # 14
(16.77870342588394, 18.34018106310759, 17.298147650611575, 20.632435554250776, 18.496528796066954, 10.420446705740842, 13.755661563149326, 15.424457644079562, 20.215970520722674, 13.130488029865482, 13.963174807714955, 16.256249470546507, 16.880892169624886), # 15
(17.10533760411564, 18.685242915948237, 17.623599962694165, 21.02069628679629, 18.8501029408482, 10.616533734998628, 14.014332700135158, 15.71414995998353, 20.596307833994917, 13.377380363031593, 14.225981249636122, 16.56205897443289, 17.198606600142384), # 16
(17.395078877487137, 18.988778809043904, 17.909885513776235, 21.362231115507804, 19.162349625444907, 10.789021622221714, 14.24187487751528, 15.968976488029472, 20.930871278968173, 13.594561763165041, 14.457160220900038, 16.8310655025553, 17.47808456018655), # 17
(17.645595605010367, 19.248194064002895, 18.154557306557784, 21.654120943492703, 19.43067353707546, 10.936436345858706, 14.436342882419133, 16.18675996535147, 21.216801838456973, 13.780175412678366, 14.654735698572916, 17.060969794148487, 17.716937542216822), # 18
(17.85455614569726, 19.46089400243354, 18.355168343738843, 21.893446673858367, 19.65247936295826, 11.057303884358175, 14.59579150197611, 16.36532312908364, 21.4512404952758, 13.93236449398409, 14.81673165972098, 17.249472588447173, 17.912777038692653), # 19
(18.01962885855975, 19.624283945944132, 18.509271628019405, 22.077289209712237, 19.8251717903117, 11.150150216168733, 14.718275523315652, 16.50248871636009, 21.631328232239156, 14.049272189494726, 14.94117208141047, 17.394274624686105, 18.063214542073485), # 20
(18.13848210260976, 19.735769216143005, 18.614420162099496, 22.202729454161673, 19.94615550635416, 11.213501319738963, 14.801849733567167, 16.596079464314922, 21.754206032161537, 14.1290416816228, 15.026080940707608, 17.49307664210003, 18.165861544818743), # 21
(18.20878423685924, 19.792755134638462, 18.668166948679115, 22.266848310314106, 20.012835198304035, 11.245883173517461, 14.844568919860079, 16.643918110082247, 21.81701487785745, 14.169816152780836, 15.069482214678613, 17.54357937992368, 18.218329539387888), # 22
(18.23470805401675, 19.799502469135803, 18.674861728395065, 22.274875462962967, 20.029917700858675, 11.25, 14.84964720406681, 16.64908888888889, 21.824867222222224, 14.17462609053498, 15.074924466891131, 17.549815637860082, 18.225), # 23
(18.253822343461476, 19.79556666666667, 18.673766666666666, 22.273887500000004, 20.039593704506736, 11.25, 14.8468568627451, 16.6419, 21.823815, 14.17167111111111, 15.074324242424245, 17.548355555555556, 18.225), # 24
(18.272533014380844, 19.78780864197531, 18.671604938271606, 22.27193287037037, 20.049056902070106, 11.25, 14.841358024691358, 16.62777777777778, 21.82173611111111, 14.16585390946502, 15.073134118967452, 17.545473251028806, 18.225), # 25
(18.290838634286462, 19.776346913580248, 18.668406172839507, 22.269033796296295, 20.05830696315799, 11.25, 14.833236092955698, 16.60698888888889, 21.81865722222222, 14.157271275720165, 15.07136487093154, 17.54120823045268, 18.225), # 26
(18.308737770689945, 19.7613, 18.6642, 22.265212499999997, 20.067343557379587, 11.25, 14.822576470588237, 16.579800000000002, 21.814605, 14.146019999999998, 15.069027272727272, 17.535600000000002, 18.225), # 27
(18.3262289911029, 19.742786419753084, 18.659016049382718, 22.260491203703705, 20.076166354344124, 11.25, 14.809464560639071, 16.54647777777778, 21.809606111111112, 14.132196872427985, 15.066132098765433, 17.528688065843625, 18.225), # 28
(18.34331086303695, 19.720924691358025, 18.652883950617287, 22.25489212962963, 20.084775023660796, 11.25, 14.793985766158318, 16.507288888888887, 21.803687222222223, 14.115898683127574, 15.06269012345679, 17.520511934156378, 18.225), # 29
(18.359981954003697, 19.695833333333333, 18.645833333333332, 22.2484375, 20.093169234938827, 11.25, 14.776225490196078, 16.4625, 21.796875, 14.097222222222223, 15.058712121212121, 17.51111111111111, 18.225), # 30
(18.376240831514746, 19.667630864197534, 18.637893827160497, 22.241149537037035, 20.101348657787415, 11.25, 14.756269135802471, 16.412377777777778, 21.78919611111111, 14.07626427983539, 15.054208866442199, 17.500525102880662, 18.225), # 31
(18.392086063081717, 19.636435802469137, 18.629095061728393, 22.233050462962964, 20.10931296181577, 11.25, 14.734202106027599, 16.357188888888892, 21.780677222222224, 14.053121646090535, 15.0491911335578, 17.48879341563786, 18.225), # 32
(18.407516216216216, 19.602366666666665, 18.619466666666668, 22.2241625, 20.117061816633115, 11.25, 14.710109803921569, 16.2972, 21.771345, 14.027891111111112, 15.043669696969696, 17.475955555555554, 18.225), # 33
(18.422529858429858, 19.56554197530864, 18.609038271604938, 22.21450787037037, 20.12459489184864, 11.25, 14.684077632534496, 16.232677777777777, 21.761226111111114, 14.000669465020577, 15.037655331088663, 17.462051028806584, 18.225), # 34
(18.437125557234253, 19.52608024691358, 18.597839506172843, 22.204108796296293, 20.131911857071568, 11.25, 14.656190994916486, 16.163888888888888, 21.750347222222224, 13.971553497942386, 15.031158810325476, 17.447119341563788, 18.225), # 35
(18.45130188014101, 19.484099999999998, 18.5859, 22.192987499999997, 20.139012381911105, 11.25, 14.626535294117646, 16.0911, 21.738735, 13.94064, 15.024190909090908, 17.431200000000004, 18.225), # 36
(18.46505739466174, 19.43971975308642, 18.57324938271605, 22.181166203703704, 20.145896135976457, 11.25, 14.595195933188089, 16.014577777777777, 21.72641611111111, 13.908025761316873, 15.016762401795738, 17.414332510288066, 18.225), # 37
(18.47839066830806, 19.39305802469136, 18.559917283950615, 22.168667129629632, 20.152562788876843, 11.25, 14.562258315177923, 15.934588888888891, 21.713417222222223, 13.873807572016462, 15.00888406285073, 17.396556378600824, 18.225), # 38
(18.491300268591576, 19.34423333333333, 18.545933333333334, 22.1555125, 20.159012010221467, 11.25, 14.527807843137257, 15.8514, 21.699765000000003, 13.838082222222223, 15.000566666666668, 17.37791111111111, 18.225), # 39
(18.503784763023894, 19.293364197530863, 18.531327160493827, 22.14172453703704, 20.165243469619533, 11.25, 14.491929920116196, 15.765277777777781, 21.685486111111114, 13.800946502057615, 14.99182098765432, 17.358436213991773, 18.225), # 40
(18.51584271911663, 19.24056913580247, 18.51612839506173, 22.127325462962965, 20.171256836680264, 11.25, 14.454709949164851, 15.67648888888889, 21.67060722222222, 13.76249720164609, 14.982657800224468, 17.338171193415636, 18.225), # 41
(18.527472704381402, 19.18596666666667, 18.500366666666668, 22.112337500000002, 20.177051781012857, 11.25, 14.416233333333333, 15.5853, 21.655155000000004, 13.72283111111111, 14.97308787878788, 17.317155555555555, 18.225), # 42
(18.538673286329807, 19.12967530864198, 18.484071604938272, 22.096782870370372, 20.182627972226527, 11.25, 14.37658547567175, 15.491977777777779, 21.63915611111111, 13.682045020576133, 14.96312199775533, 17.295428806584365, 18.225), # 43
(18.54944303247347, 19.071813580246914, 18.467272839506176, 22.0806837962963, 20.18798507993048, 11.25, 14.335851779230211, 15.396788888888892, 21.62263722222222, 13.64023572016461, 14.952770931537597, 17.2730304526749, 18.225), # 44
(18.55978051032399, 19.0125, 18.45, 22.064062500000002, 20.193122773733933, 11.25, 14.294117647058824, 15.3, 21.605625, 13.597500000000002, 14.942045454545454, 17.25, 18.225), # 45
(18.569684287392985, 18.951853086419753, 18.432282716049382, 22.046941203703703, 20.198040723246088, 11.25, 14.251468482207699, 15.20187777777778, 21.588146111111108, 13.553934650205761, 14.930956341189674, 17.226376954732512, 18.225), # 46
(18.579152931192063, 18.88999135802469, 18.41415061728395, 22.02934212962963, 20.202738598076163, 11.25, 14.207989687726945, 15.102688888888888, 21.570227222222226, 13.50963646090535, 14.919514365881032, 17.20220082304527, 18.225), # 47
(18.588185009232834, 18.827033333333333, 18.395633333333333, 22.0112875, 20.20721606783336, 11.25, 14.163766666666668, 15.0027, 21.551895000000002, 13.464702222222222, 14.907730303030302, 17.177511111111112, 18.225), # 48
(18.596779089026917, 18.763097530864197, 18.376760493827163, 21.99279953703704, 20.211472802126895, 11.25, 14.118884822076978, 14.902177777777778, 21.53317611111111, 13.419228724279836, 14.895614927048262, 17.152347325102884, 18.225), # 49
(18.604933738085908, 18.698302469135808, 18.357561728395066, 21.973900462962963, 20.21550847056597, 11.25, 14.073429557007989, 14.801388888888889, 21.514097222222222, 13.373312757201646, 14.883179012345678, 17.126748971193418, 18.225), # 50
(18.61264752392144, 18.63276666666667, 18.338066666666666, 21.9546125, 20.219322742759797, 11.25, 14.027486274509805, 14.7006, 21.494685000000004, 13.32705111111111, 14.870433333333335, 17.10075555555556, 18.225), # 51
(18.619919014045102, 18.56660864197531, 18.318304938271606, 21.934957870370372, 20.222915288317584, 11.25, 13.981140377632535, 14.600077777777777, 21.47496611111111, 13.280540576131688, 14.857388664421999, 17.074406584362144, 18.225), # 52
(18.626746775968517, 18.49994691358025, 18.29830617283951, 21.914958796296297, 20.226285776848552, 11.25, 13.93447726942629, 14.50008888888889, 21.454967222222226, 13.233877942386831, 14.844055780022448, 17.04774156378601, 18.225), # 53
(18.63312937720329, 18.432900000000004, 18.2781, 21.8946375, 20.229433877961906, 11.25, 13.887582352941177, 14.400899999999998, 21.434715, 13.18716, 14.830445454545453, 17.0208, 18.225), # 54
(18.63906538526104, 18.365586419753086, 18.25771604938272, 21.874016203703704, 20.232359261266843, 11.25, 13.840541031227307, 14.302777777777777, 21.414236111111112, 13.140483539094651, 14.816568462401795, 16.993621399176956, 18.225), # 55
(18.64455336765337, 18.298124691358026, 18.237183950617286, 21.85311712962963, 20.235061596372585, 11.25, 13.793438707334786, 14.20598888888889, 21.393557222222224, 13.09394534979424, 14.802435578002246, 16.96624526748971, 18.225), # 56
(18.649591891891887, 18.230633333333333, 18.216533333333334, 21.8319625, 20.23754055288834, 11.25, 13.746360784313726, 14.110800000000001, 21.372705, 13.047642222222223, 14.788057575757577, 16.93871111111111, 18.225), # 57
(18.654179525488225, 18.163230864197534, 18.195793827160493, 21.810574537037034, 20.239795800423316, 11.25, 13.699392665214235, 14.017477777777778, 21.35170611111111, 13.001670946502058, 14.773445230078567, 16.91105843621399, 18.225), # 58
(18.658314835953966, 18.096035802469135, 18.174995061728396, 21.788975462962963, 20.24182700858672, 11.25, 13.65261975308642, 13.92628888888889, 21.330587222222224, 12.956128312757203, 14.758609315375981, 16.883326748971193, 18.225), # 59
(18.661996390800738, 18.02916666666667, 18.154166666666665, 21.767187500000002, 20.243633846987766, 11.25, 13.606127450980392, 13.8375, 21.309375000000003, 12.911111111111111, 14.743560606060607, 16.855555555555558, 18.225), # 60
(18.665222757540146, 17.962741975308646, 18.13333827160494, 21.74523287037037, 20.24521598523566, 11.25, 13.560001161946259, 13.751377777777778, 21.288096111111113, 12.866716131687244, 14.728309876543209, 16.82778436213992, 18.225), # 61
(18.66799250368381, 17.89688024691358, 18.112539506172844, 21.7231337962963, 20.246573092939624, 11.25, 13.514326289034132, 13.66818888888889, 21.266777222222224, 12.823040164609054, 14.712867901234567, 16.80005267489712, 18.225), # 62
(18.670304196743327, 17.831699999999998, 18.0918, 21.7009125, 20.24770483970884, 11.25, 13.469188235294117, 13.5882, 21.245445, 12.78018, 14.697245454545456, 16.7724, 18.225), # 63
(18.672156404230314, 17.767319753086422, 18.071149382716047, 21.678591203703704, 20.24861089515255, 11.25, 13.424672403776325, 13.511677777777779, 21.22412611111111, 12.738232427983538, 14.681453310886642, 16.7448658436214, 18.225), # 64
(18.67354769365639, 17.703858024691357, 18.05061728395062, 21.65619212962963, 20.24929092887994, 11.25, 13.380864197530865, 13.438888888888888, 21.202847222222225, 12.697294238683126, 14.665502244668913, 16.717489711934153, 18.225), # 65
(18.674476632533153, 17.641433333333335, 18.030233333333335, 21.6337375, 20.249744610500233, 11.25, 13.337849019607843, 13.3701, 21.181635000000004, 12.657462222222222, 14.649403030303029, 16.690311111111114, 18.225), # 66
(18.674941788372227, 17.580164197530863, 18.010027160493827, 21.611249537037036, 20.249971609622634, 11.25, 13.29571227305737, 13.30557777777778, 21.16051611111111, 12.618833168724281, 14.633166442199778, 16.6633695473251, 18.225), # 67
(18.674624906065485, 17.519847550776582, 17.989930709876543, 21.588555132850242, 20.249780319535223, 11.24979122085048, 13.254327350693364, 13.245018930041153, 21.13935812757202, 12.5813167949649, 14.616514779372677, 16.636554039419536, 18.22477527006173), # 68
(18.671655072463768, 17.458641935483872, 17.969379166666666, 21.564510326086953, 20.248039215686273, 11.248140740740741, 13.212482726423904, 13.185177777777778, 21.11723611111111, 12.543851503267971, 14.597753110047847, 16.608994152046783, 18.222994791666668), # 69
(18.665794417606012, 17.39626642771804, 17.948283179012343, 21.538956823671498, 20.244598765432098, 11.244890260631001, 13.169988242210465, 13.125514403292183, 21.09402520576132, 12.506255144032922, 14.576667995746943, 16.580560970327056, 18.219478202160495), # 70
(18.657125389157272, 17.332758303464754, 17.92665015432099, 21.51193230676329, 20.239502541757446, 11.240092455418381, 13.12686298717018, 13.066048559670783, 21.06975997942387, 12.46852864681675, 14.553337267410951, 16.551275286982886, 18.21427179783951), # 71
(18.64573043478261, 17.268154838709677, 17.9044875, 21.48347445652174, 20.23279411764706, 11.2338, 13.083126050420168, 13.0068, 21.044475000000002, 12.43067294117647, 14.527838755980863, 16.52115789473684, 18.207421875), # 72
(18.631692002147076, 17.20249330943847, 17.88180262345679, 21.45362095410628, 20.224517066085692, 11.226065569272976, 13.038796521077565, 12.947788477366256, 21.01820483539095, 12.392688956669087, 14.50025029239766, 16.490229586311454, 18.198974729938275), # 73
(18.61509253891573, 17.1358109916368, 17.858602932098762, 21.42240948067633, 20.214714960058096, 11.216941838134431, 12.9938934882595, 12.889033744855967, 20.990984053497943, 12.354577622851611, 14.470649707602341, 16.45851115442928, 18.18897665895062), # 74
(18.59601449275362, 17.06814516129032, 17.83489583333333, 21.389877717391304, 20.203431372549023, 11.206481481481482, 12.9484360410831, 12.830555555555556, 20.96284722222222, 12.316339869281046, 14.439114832535884, 16.426023391812866, 18.177473958333334), # 75
(18.57454031132582, 16.99953309438471, 17.8106887345679, 21.35606334541063, 20.19070987654321, 11.19473717421125, 12.902443268665492, 12.772373662551441, 20.93382890946502, 12.277976625514404, 14.405723498139285, 16.392787091184747, 18.164512924382716), # 76
(18.55075244229737, 16.93001206690562, 17.785989043209874, 21.32100404589372, 20.176594045025414, 11.18176159122085, 12.855934260123803, 12.714507818930043, 20.90396368312757, 12.239488821108692, 14.370553535353537, 16.358823045267492, 18.150139853395064), # 77
(18.524733333333334, 16.859619354838713, 17.760804166666667, 21.2847375, 20.16112745098039, 11.167607407407406, 12.808928104575164, 12.65697777777778, 20.87328611111111, 12.200877385620915, 14.333682775119618, 16.324152046783627, 18.134401041666667), # 78
(18.496565432098766, 16.788392234169656, 17.735141512345677, 21.24730138888889, 20.144353667392885, 11.152327297668037, 12.761443891136702, 12.59980329218107, 20.84183076131687, 12.162143248608086, 14.29518904837852, 16.28879488845571, 18.117342785493825), # 79
(18.466331186258724, 16.71636798088411, 17.70900848765432, 21.208733393719807, 20.126316267247642, 11.135973936899862, 12.713500708925546, 12.543004115226339, 20.809632201646092, 12.123287339627208, 14.255150186071239, 16.252772363006283, 18.09901138117284), # 80
(18.434113043478263, 16.643583870967742, 17.682412499999998, 21.169071195652176, 20.10705882352941, 11.118599999999999, 12.665117647058823, 12.486600000000001, 20.776725, 12.084310588235295, 14.213644019138757, 16.216105263157896, 18.079453124999997), # 81
(18.399993451422436, 16.570077180406216, 17.655360956790126, 21.12835247584541, 20.086624909222948, 11.10025816186557, 12.616313794653665, 12.430610699588478, 20.743143724279836, 12.045213923989348, 14.170748378522063, 16.178814381633096, 18.058714313271608), # 82
(18.364054857756308, 16.495885185185184, 17.6278612654321, 21.086614915458934, 20.065058097313, 11.08100109739369, 12.567108240827196, 12.37505596707819, 20.70892294238683, 12.00599827644638, 14.12654109516215, 16.14092051115443, 18.036841242283952), # 83
(18.326379710144927, 16.421045161290323, 17.599920833333332, 21.043896195652174, 20.042401960784314, 11.060881481481482, 12.517520074696545, 12.319955555555556, 20.674097222222223, 11.9666645751634, 14.0811, 16.102444444444444, 18.013880208333333), # 84
(18.287050456253354, 16.345594384707287, 17.571547067901232, 21.000233997584544, 20.01870007262164, 11.039951989026063, 12.467568385378843, 12.265329218106997, 20.63870113168724, 11.92721374969741, 14.034502923976609, 16.06340697422569, 17.989877507716052), # 85
(18.246149543746643, 16.269570131421744, 17.54274737654321, 20.955666002415462, 19.99399600580973, 11.018265294924555, 12.417272261991217, 12.21119670781893, 20.60276923868313, 11.887646729605423, 13.986827698032961, 16.02382889322071, 17.964879436728395), # 86
(18.203759420289852, 16.193009677419354, 17.513529166666665, 20.910229891304347, 19.968333333333337, 10.995874074074074, 12.366650793650793, 12.157577777777778, 20.566336111111116, 11.847964444444443, 13.938152153110048, 15.983730994152046, 17.938932291666667), # 87
(18.159962533548043, 16.11595029868578, 17.483899845679012, 20.86396334541063, 19.941755628177198, 10.972831001371743, 12.315723069474704, 12.104492181069958, 20.52943631687243, 11.808167823771482, 13.888554120148857, 15.943134069742257, 17.912082368827164), # 88
(18.11484133118626, 16.03842927120669, 17.453866820987656, 20.81690404589372, 19.91430646332607, 10.94918875171468, 12.264508178580074, 12.051959670781894, 20.492104423868312, 11.76825779714355, 13.838111430090379, 15.902058912713883, 17.884375964506173), # 89
(18.068478260869565, 15.960483870967742, 17.423437500000002, 20.769089673913047, 19.886029411764707, 10.925, 12.213025210084034, 12.0, 20.454375000000002, 11.728235294117647, 13.786901913875598, 15.860526315789475, 17.855859375), # 90
(18.020955770263015, 15.8821513739546, 17.392619290123456, 20.720557910628024, 19.85696804647785, 10.900317421124829, 12.161293253103711, 11.9486329218107, 20.41628261316873, 11.688101244250786, 13.735003402445509, 15.818557071691574, 17.826578896604936), # 91
(17.97235630703167, 15.80346905615293, 17.361419598765433, 20.671346437198068, 19.827165940450254, 10.875193689986283, 12.109331396756236, 11.897878189300412, 20.377861831275723, 11.647856577099976, 13.682493726741095, 15.776171973142736, 17.796580825617283), # 92
(17.92276231884058, 15.724474193548389, 17.329845833333334, 20.621492934782612, 19.796666666666667, 10.84968148148148, 12.057158730158731, 11.847755555555556, 20.339147222222223, 11.607502222222221, 13.62945071770335, 15.733391812865497, 17.76591145833333), # 93
(17.872256253354806, 15.645204062126643, 17.29790540123457, 20.571035084541062, 19.765513798111837, 10.823833470507545, 12.00479434242833, 11.798284773662553, 20.300173353909464, 11.567039109174534, 13.575952206273259, 15.690237383582414, 17.734617091049383), # 94
(17.820920558239397, 15.56569593787336, 17.265605709876546, 20.52001056763285, 19.733750907770517, 10.797702331961592, 11.95225732268216, 11.749485596707821, 20.260974794238685, 11.526468167513919, 13.522076023391813, 15.646729478016026, 17.70274402006173), # 95
(17.76883768115942, 15.485987096774197, 17.23295416666667, 20.468457065217393, 19.701421568627453, 10.77134074074074, 11.899566760037347, 11.701377777777779, 20.221586111111108, 11.485790326797385, 13.4679, 15.602888888888891, 17.67033854166667), # 96
(17.716090069779927, 15.406114814814819, 17.199958179012345, 20.416412258454105, 19.668569353667394, 10.744801371742112, 11.846741743611025, 11.65398106995885, 20.182041872427984, 11.445006516581941, 13.413501967038808, 15.558736408923545, 17.637446952160495), # 97
(17.66276017176597, 15.326116367980884, 17.166625154320986, 20.363913828502415, 19.635237835875095, 10.718136899862827, 11.793801362520316, 11.607315226337448, 20.142376646090533, 11.404117666424595, 13.35895975544923, 15.514292830842535, 17.604115547839505), # 98
(17.608930434782607, 15.246029032258065, 17.1329625, 20.31099945652174, 19.601470588235298, 10.6914, 11.740764705882354, 11.5614, 20.102625, 11.363124705882353, 13.304351196172249, 15.469578947368422, 17.570390625), # 99
(17.5546833064949, 15.165890083632016, 17.09897762345679, 20.257706823671498, 19.567311183732752, 10.664643347050754, 11.687650862814262, 11.516255144032922, 20.062821502057616, 11.322028564512225, 13.249754120148857, 15.42461555122374, 17.536318479938274), # 100
(17.500101234567904, 15.085736798088412, 17.064677932098768, 20.204073611111113, 19.532803195352216, 10.637919615912208, 11.634478922433171, 11.471900411522633, 20.02300072016461, 11.280830171871218, 13.195246358320043, 15.379423435131034, 17.501945408950615), # 101
(17.44526666666667, 15.005606451612904, 17.030070833333333, 20.1501375, 19.497990196078433, 10.611281481481482, 11.58126797385621, 11.428355555555555, 19.98319722222222, 11.239530457516341, 13.140905741626794, 15.334023391812867, 17.467317708333336), # 102
(17.390262050456254, 14.92553632019116, 16.9951637345679, 20.095936171497584, 19.462915758896152, 10.584781618655693, 11.528037106200506, 11.385640329218107, 19.943445576131687, 11.1981303510046, 13.086810101010101, 15.28843621399177, 17.432481674382714), # 103
(17.335169833601718, 14.845563679808842, 16.959964043209876, 20.041507306763286, 19.427623456790123, 10.558472702331962, 11.474805408583187, 11.343774485596708, 19.90378034979424, 11.156630781893005, 13.03303726741095, 15.242682694390297, 17.397483603395063), # 104
(17.280072463768114, 14.765725806451613, 16.924479166666668, 19.98688858695652, 19.392156862745097, 10.532407407407408, 11.421591970121383, 11.302777777777779, 19.86423611111111, 11.115032679738563, 12.979665071770334, 15.196783625730996, 17.362369791666666), # 105
(17.225052388620504, 14.686059976105138, 16.888716512345678, 19.932117693236716, 19.356559549745825, 10.50663840877915, 11.36841587993222, 11.262669958847736, 19.82484742798354, 11.07333697409828, 12.92677134502924, 15.15075980073641, 17.327186535493826), # 106
(17.17019205582394, 14.606603464755079, 16.852683487654325, 19.877232306763286, 19.32087509077705, 10.48121838134431, 11.31529622713283, 11.223470781893006, 19.78564886831276, 11.03154459452917, 12.874433918128654, 15.104632012129088, 17.29198013117284), # 107
(17.11557391304348, 14.5273935483871, 16.8163875, 19.822270108695655, 19.28514705882353, 10.4562, 11.262252100840335, 11.185200000000002, 19.746675000000003, 10.989656470588237, 12.82273062200957, 15.05842105263158, 17.256796875000003), # 108
(17.061280407944178, 14.448467502986858, 16.779835956790127, 19.767268780193234, 19.249419026870008, 10.431635939643346, 11.209302590171871, 11.147877366255145, 19.707960390946504, 10.947673531832486, 12.771739287612972, 15.012147714966428, 17.221683063271605), # 109
(17.007393988191087, 14.369862604540026, 16.743036265432103, 19.71226600241546, 19.213734567901238, 10.407578875171467, 11.15646678424456, 11.111522633744855, 19.669539609053498, 10.90559670781893, 12.72153774587985, 14.965832791856185, 17.18668499228395), # 110
(16.953997101449275, 14.29161612903226, 16.705995833333336, 19.65729945652174, 19.178137254901962, 10.384081481481482, 11.103763772175537, 11.076155555555555, 19.631447222222224, 10.863426928104575, 12.672203827751195, 14.919497076023394, 17.151848958333336), # 111
(16.90117219538379, 14.213765352449222, 16.66872206790124, 19.602406823671497, 19.142670660856936, 10.361196433470509, 11.051212643081925, 11.041795884773663, 19.593717798353907, 10.821165122246429, 12.623815364167996, 14.873161360190599, 17.11722125771605), # 112
(16.84890760266548, 14.136477513814715, 16.631312090853726, 19.547700988485673, 19.10731622431267, 10.338965584586125, 10.998946734582185, 11.00853462380509, 19.556483060265517, 10.778948525902914, 12.57646303107516, 14.826947285707972, 17.0827990215178), # 113
(16.796665616220118, 14.060514930345965, 16.594282215038913, 19.493620958299207, 19.071708038219388, 10.317338295353823, 10.947632775139043, 10.976780267109216, 19.52031426428351, 10.73756730224301, 12.530239806803754, 14.781441909803354, 17.048295745488062), # 114
(16.744292825407193, 13.985904957629483, 16.55765447887317, 19.440152109327204, 19.035733820199482, 10.296258322497776, 10.89730737034481, 10.946524777701677, 19.485224961603823, 10.697085590378538, 12.485078120568769, 14.736667648605932, 17.013611936988678), # 115
(16.691723771827743, 13.912538906325063, 16.521357941970972, 19.38719907047953, 18.999339347490803, 10.275675979116777, 10.847888671550209, 10.917684563218188, 19.451126410610094, 10.657428045209185, 12.440890676288666, 14.692541755477222, 16.978693067560602), # 116
(16.63889299708279, 13.840308087092497, 16.485321663946774, 19.33466647066604, 18.9624703973312, 10.255541578309604, 10.799294830105955, 10.890176031294454, 19.417929869685967, 10.618519321634633, 12.39759017788191, 14.64898148377875, 16.943484608744804), # 117
(16.58573504277338, 13.769103810591583, 16.44947470441506, 19.2824589387966, 18.925072746958516, 10.235805433175049, 10.751443997362767, 10.863915589566174, 19.385546597215082, 10.580284074554568, 12.355089329266963, 14.60590408687203, 16.907932032082243), # 118
(16.532184450500534, 13.698817387482112, 16.413746122990304, 19.23048110378107, 18.887092173610597, 10.2164178568119, 10.70425432467136, 10.838819645669062, 19.353887851581078, 10.54264695886867, 12.31330083436229, 14.563226818118581, 16.87198080911388), # 119
(16.47817576186529, 13.629340128423884, 16.37806497928697, 19.17863759452931, 18.848474454525295, 10.197329162318939, 10.657643963382455, 10.814804607238818, 19.322864891167605, 10.50553262947663, 12.272137397086349, 14.520866930879935, 16.835576411380675), # 120
(16.423643518468683, 13.560563344076693, 16.342360332919537, 19.12683303995118, 18.809165366940455, 10.178489662794956, 10.611531064846766, 10.791786881911152, 19.2923889743583, 10.468865741278133, 12.23151172135761, 14.4787416785176, 16.79866431042359), # 121
(16.36852226191174, 13.49237834510033, 16.30656124350248, 19.07497206895654, 18.76911068809392, 10.159849671338735, 10.565833780415012, 10.769682877321769, 19.2623713595368, 10.43257094917286, 12.191336511094532, 14.436768314393102, 16.761189977783587), # 122
(16.312746533795494, 13.424676442154594, 16.270596770650265, 19.02295931045525, 18.728256195223544, 10.141359501049065, 10.52047026143791, 10.74840900110637, 19.232723305086758, 10.396572908060497, 12.151524470215579, 14.394864091867959, 16.72309888500163), # 123
(16.256250875720976, 13.357348945899277, 16.234395973977367, 18.970699393357176, 18.68654766556717, 10.12296946502473, 10.475358659266176, 10.727881660900668, 19.20335606939181, 10.36079627284073, 12.111988302639215, 14.352946264303695, 16.68433650361868), # 124
(16.198969829289226, 13.290287166994178, 16.197887913098263, 18.91809694657217, 18.643930876362642, 10.104629876364521, 10.43041712525053, 10.708017264340365, 19.174180910835588, 10.32516569841324, 12.072640712283903, 14.310932085061827, 16.644848305175692), # 125
(16.14083793610127, 13.22338241609909, 16.16100164762742, 18.8650565990101, 18.60035160484781, 10.086291048167222, 10.385563810741687, 10.688732219061166, 19.145109087801753, 10.289605839677717, 12.033394403068103, 14.268738807503881, 16.604579761213643), # 126
(16.08178973775815, 13.156526003873804, 16.123666237179307, 18.81148297958082, 18.555755628260517, 10.067903293531618, 10.34071686709037, 10.669942932698781, 19.116051858673934, 10.254041351533843, 11.994162078910282, 14.226283684991369, 16.56347634327348), # 127
(16.021759775860883, 13.089609240978122, 16.08581074136841, 18.7572807171942, 18.51008872383862, 10.0494169255565, 10.295794445647289, 10.651565812888913, 19.086920481835772, 10.218396888881303, 11.954856443728904, 14.183483970885819, 16.521483522896165), # 128
(15.960682592010507, 13.022523438071834, 16.047364219809193, 18.702354440760086, 18.46329666881996, 10.03078225734065, 10.250714697763163, 10.633517267267269, 19.057626215670915, 10.182597106619781, 11.915390201442428, 14.140256918548745, 16.478546771622668), # 129
(15.89849272780806, 12.955159905814739, 16.008255732116123, 18.646608779188355, 18.415325240442385, 10.011949601982854, 10.205395774788713, 10.61571370346955, 19.028080318563003, 10.146566659648963, 11.87567605596932, 14.096519781341675, 16.434611560993947), # 130
(15.83512472485457, 12.887409954866628, 15.968414337903685, 18.589948361388856, 18.36612021594374, 9.992869272581904, 10.159755828074656, 10.59807152913147, 18.998194048895677, 10.110230202868534, 11.835626711228041, 14.052189812626125, 16.38962336255096), # 131
(15.770513124751067, 12.8191648958873, 15.927769096786342, 18.532277816271456, 18.315627372561877, 9.973491582236585, 10.113713008971706, 10.580507151888732, 18.967878665052577, 10.073512391178177, 11.795154871137056, 14.007184265763614, 16.343527647834676), # 132
(15.704592469098595, 12.750316039536544, 15.88624906837857, 18.473501772746012, 18.263792487534637, 9.95376684404568, 10.06718546883058, 10.562936979377039, 18.93704542541735, 10.036337879477578, 11.754173239614829, 13.961420394115667, 16.296269888386057), # 133
(15.63729729949817, 12.68075469647416, 15.843783312294848, 18.413524859722386, 18.210561338099865, 9.933645371107978, 10.020091359002002, 10.545277419232098, 18.905605588373632, 9.998631322666423, 11.712594520579822, 13.914815451043799, 16.24779555574605), # 134
(15.568562157550836, 12.610372177359944, 15.800300888149636, 18.352251706110444, 18.15587970149542, 9.913077476522266, 9.972348830836681, 10.527444879089616, 18.873470412305064, 9.960317375644397, 11.670331417950496, 13.867286689909534, 16.198050121455637), # 135
(15.498321584857623, 12.539059792853687, 15.755730855557415, 18.28958694082003, 18.09969335495913, 9.892013473387332, 9.923876035685343, 10.509355766585298, 18.840551155595293, 9.92132069331118, 11.627296635645319, 13.818751364074394, 16.146979057055766), # 136
(15.426510123019561, 12.466708853615184, 15.710002274132659, 18.225435192761026, 18.04194807572886, 9.870403674801956, 9.8745911248987, 10.490926489354854, 18.80675907662796, 9.881565930566463, 11.583402877582751, 13.769126726899895, 16.094527834087398), # 137
(15.353062313637686, 12.393210670304235, 15.66304420348983, 18.159701090843274, 17.982589641042455, 9.848198393864935, 9.824412249827468, 10.472073455033982, 18.772005433786706, 9.840977742309924, 11.538562847681254, 13.718330031747561, 16.040641924091503), # 138
(15.277912698313022, 12.31845655358063, 15.614785703243411, 18.092289263976646, 17.921563828137746, 9.825347943675048, 9.773257561822367, 10.452713071258394, 18.73620148545517, 9.799480783441254, 11.492689249859293, 13.66627853197891, 15.985266798609034), # 139
(15.200995818646616, 12.242337814104165, 15.565155833007877, 18.023104341071, 17.858816414252605, 9.801802637331082, 9.721045212234115, 10.432761745663793, 18.699258490016998, 9.756999708860134, 11.445694788035329, 13.612889480955465, 15.928347929180966), # 140
(15.122246216239494, 12.164745762534638, 15.514083652397689, 17.952050951036195, 17.794293176624855, 9.777512787931828, 9.667693352413432, 10.412135885885887, 18.661087705855824, 9.713459173466253, 11.39749216612783, 13.558080132038745, 15.869830787348244), # 141
(15.041598432692682, 12.08557170953184, 15.461498221027327, 17.879033722782097, 17.727939892492355, 9.752428708576069, 9.613120133711027, 10.39075189956038, 18.621600391355297, 9.66878383215929, 11.347994088055255, 13.50176773859027, 15.80966084465184), # 142
(14.958987009607215, 12.004706965755565, 15.407328598511267, 17.803957285218555, 17.659702339092952, 9.726500712362592, 9.557243707477623, 10.368526194322978, 18.580707804899063, 9.622898339838935, 11.297113257736068, 13.443869553971561, 15.747783572632711), # 143
(14.874346488584132, 11.922042841865615, 15.35150384446397, 17.72672626725544, 17.58952629366449, 9.699679112390184, 9.499982225063938, 10.34537517780939, 18.53832120487076, 9.575727351404868, 11.244762379088732, 13.384302831544138, 15.684144442831826), # 144
(14.787611411224459, 11.837470648521778, 15.29395301849992, 17.64724529780261, 17.51735753344482, 9.671914221757634, 9.441253837820689, 10.321215257655316, 18.494351849654016, 9.527195521756779, 11.190854156031712, 13.322984824669524, 15.618688926790139), # 145
(14.69871631912923, 11.750881696383855, 15.23460518023359, 17.565419005769925, 17.443141835671785, 9.643156353563725, 9.380976697098594, 10.295962841496468, 18.448710997632492, 9.477227505794348, 11.135301292483467, 13.259832786709236, 15.551362496048613), # 146
(14.607595753899481, 11.662167296111635, 15.173389389279437, 17.481152020067245, 17.36682497758323, 9.613355820907245, 9.319068954248365, 10.269534336968547, 18.401309907189823, 9.425747958417263, 11.078016492362465, 13.194763971024798, 15.482110622148213), # 147
(14.51418425713624, 11.571218758364918, 15.11023470525195, 17.394348969604433, 17.28835273641701, 9.582462936886982, 9.255448760620729, 10.241846151707264, 18.352059836709653, 9.372681534525205, 11.018912459587169, 13.127695630977726, 15.410878776629895), # 148
(14.418416370440541, 11.477927393803494, 15.045070187765598, 17.304914483291345, 17.207670889410966, 9.550428014601719, 9.190034267566393, 10.21281469334832, 18.30087204457561, 9.317952889017864, 10.957901898076038, 13.058545019929545, 15.337612431034628), # 149
(14.320226635413416, 11.382184513087163, 14.97782489643485, 17.212753190037848, 17.124725213802947, 9.517201367150248, 9.122743626436081, 10.182356369527422, 18.247657789171353, 9.261486676794918, 10.894897511747537, 12.987229391241772, 15.262257056903364), # 150
(14.219549593655895, 11.283881426875716, 14.908427890874176, 17.117769718753795, 17.0394614868308, 9.48273330763135, 9.05349498858051, 10.150387587880278, 18.19232832888052, 9.20320755275606, 10.829812004520129, 12.91366599827593, 15.184758125777073), # 151
(14.116319786769019, 11.182909445828951, 14.836808230698063, 17.019868698349054, 16.951825485732364, 9.446974149143815, 8.982206505350396, 10.116824756042595, 18.134794922086748, 9.143040171800969, 10.762558080312278, 12.837772094393538, 15.105061109196717), # 152
(14.010471756353809, 11.079159880606662, 14.762894975520963, 16.91895475773348, 16.8617629877455, 9.409874204786428, 8.908796328096455, 10.081584281650072, 18.07496882717368, 9.080909188829333, 10.693048443042448, 12.759464932956115, 15.02311147870325), # 153
(13.901940044011312, 10.972524041868644, 14.686617184957365, 16.81493252581694, 16.769219770108045, 9.371383787657978, 8.83318260816941, 10.044582572338422, 18.01276130252496, 9.016739258740834, 10.6211957966291, 12.678661767325185, 14.938854705837642), # 154
(13.790659191342543, 10.86289324027469, 14.607903918621735, 16.707706631509282, 16.674141610057855, 9.331453210857248, 8.75528349691997, 10.005736035743345, 17.948083606524232, 8.950455036435159, 10.5469128449907, 12.595279850862267, 14.852236262140847), # 155
(13.676563739948545, 10.750158786484597, 14.526684236128547, 16.597181703720377, 16.576474284832766, 9.29003278748303, 8.67501714569886, 9.964961079500554, 17.88084699755513, 8.88198117681199, 10.470112292045709, 12.50923643692888, 14.763201619153833), # 156
(13.559588231430352, 10.634211991158162, 14.442887197092272, 16.483262371360087, 16.476163571670632, 9.247072830634105, 8.592301705856794, 9.922174111245749, 17.8109627340013, 8.811242334771014, 10.39070684171259, 12.420448778886547, 14.671696248417557), # 157
(13.43642570352943, 10.512815617390064, 14.352465517024239, 16.36158524697224, 16.368625990567796, 9.199844057370798, 8.505192097670143, 9.87443451422887, 17.732991764878374, 8.73605864932406, 10.306072354570096, 12.32567921554981, 14.573674546947622), # 158
(13.288116180561124, 10.37351757527906, 14.232128073125379, 16.207158885819215, 16.22734435760693, 9.132641366412786, 8.40278297409429, 9.804984358975888, 17.61556907019986, 8.644105789377742, 10.20135048411419, 12.206452542629595, 14.445769764456351), # 159
(13.112769770827757, 10.215174111373285, 14.0794577243206, 16.017439518735948, 16.04955623642423, 9.043814332885832, 8.284038747090811, 9.712078541149223, 17.455365409011574, 8.534170173353209, 10.075067115497172, 12.060903507998123, 14.285557096008445), # 160
(12.911799698254727, 10.038817562544844, 13.896084549438555, 15.79423050676211, 15.837107623707803, 8.934439034826566, 8.149826602812377, 9.596880959597605, 17.254493580598233, 8.407184747707687, 9.928334978279473, 11.890381444033627, 14.094673280674375), # 161
(12.686619186767443, 9.84548026566583, 13.683638627307893, 15.539335210937388, 15.591844516145768, 8.80559155027162, 8.001013727411657, 9.460555513169764, 17.015066384244545, 8.264082458898416, 9.762266802021516, 11.696235683114327, 13.874755057524599), # 162
(12.438641460291295, 9.636194557608343, 13.443750036757264, 15.254556992301481, 15.315612910426239, 8.65834795725763, 7.838467307041322, 9.304266100714425, 16.73919661923523, 8.105796253382625, 9.577975316283736, 11.479815557618458, 13.627439165629584), # 163
(12.16927974275169, 9.411992775244478, 13.178048856615318, 14.941699211894072, 15.01025880323734, 8.493784333821234, 7.663054527854039, 9.129176621080324, 16.428997084855002, 7.933259077617543, 9.376573250626553, 11.242470399924246, 13.35436234405979), # 164
(11.879947258074031, 9.173907255446338, 12.888165165710705, 14.602565230754854, 14.677628191267182, 8.312976757999055, 7.475642576002479, 8.936450973116184, 16.086580580388564, 7.747403878060404, 9.1591733346104, 10.985549542409915, 13.057161331885686), # 165
(11.572057230183715, 8.922970335086019, 12.57572904287207, 14.238958409923503, 14.319567071203886, 8.117001307827735, 7.277098637639315, 8.727253055670738, 15.714059905120632, 7.549163601168441, 8.926888297795703, 10.710402317453703, 12.737472868177733), # 166
(11.24702288300614, 8.660214351035616, 12.242370566928068, 13.852682110439718, 13.937921439735565, 7.906934061343905, 7.0682898989172145, 8.502746767592717, 15.31354785833592, 7.339471193398886, 8.680830869742888, 10.418378057433825, 12.396933692006392), # 167
(10.906257440466712, 8.386671640167231, 11.889719816707347, 13.445539693343184, 13.534537293550335, 7.683851096584198, 6.850083545988848, 8.264096007730847, 14.887157239319139, 7.11925960120897, 8.422113780012385, 10.11082609472852, 12.037180542442131), # 168
(10.551174126490828, 8.103374539352963, 11.519406871038555, 13.019334519673588, 13.111260629336316, 7.4488284915852505, 6.623346765006885, 8.012464674933861, 14.437000847355009, 6.889461771055926, 8.151849758164623, 9.78909576171601, 11.659850158555415), # 169
(10.18318616500389, 7.811355385464907, 11.133061808750343, 12.575869950470615, 12.66993744378162, 7.2029423243836925, 6.388946742123995, 7.749016668050485, 13.96519148172823, 6.6510106493969845, 7.871151533760029, 9.454536390774527, 11.2665792794167), # 170
(9.8037067799313, 7.511646515375161, 10.73231470867136, 12.116949346773964, 12.21241373357437, 6.947268673016157, 6.147750663492849, 7.47491588592945, 13.47384194172352, 6.404839182689379, 7.581131836359027, 9.108497314282296, 10.859004644096458), # 171
(9.414149195198457, 7.205280265955825, 10.318795649630257, 11.644376069623315, 11.740535495402677, 6.682883615519281, 5.900625715266118, 7.191326227419487, 12.965065026625595, 6.151880317390344, 7.282903395522049, 8.752327864617548, 10.438762991665145), # 172
(9.015926634730764, 6.893288974078996, 9.894134710455681, 11.159953480058356, 11.256148725954663, 6.410863229929695, 5.64843908359647, 6.899411591369322, 12.440973535719161, 5.893066999957107, 6.97757894080952, 8.387377374158506, 10.007491061193234), # 173
(8.610452322453618, 6.576704976616772, 9.459961969976282, 10.665484939118773, 10.76109942191844, 6.132283594284034, 5.3920579546365754, 6.600335876627689, 11.903680268288936, 5.629332176846904, 6.66627120178187, 8.014995175283403, 9.566825591751181), # 174
(8.19913948229242, 6.256560610441251, 9.017907507020714, 10.162773807844262, 10.257233579982124, 5.848220786618931, 5.132349514539104, 6.295262982043313, 11.35529802361963, 5.361608794516964, 6.3500929079995245, 7.636530600370466, 9.118403322409455), # 175
(7.783401338172574, 5.933888212424531, 8.569601400417621, 9.653623447274505, 9.746397196833835, 5.55975088497102, 4.870180949456727, 5.985356806464928, 10.797939600995955, 5.090829799424521, 6.0301567890229135, 7.253332981797922, 8.663860992238513), # 176
(7.364651114019479, 5.6097201194387125, 8.116673728995655, 9.13983721844919, 9.230436269161691, 5.267949967376934, 4.606419445542112, 5.671781248741259, 10.233717799702626, 4.817928138026804, 5.7075755744124645, 6.866751651944002, 8.204835340308824), # 177
(6.944302033758534, 5.285088668355891, 7.660754571583465, 8.623218482408008, 8.711196793653805, 4.973894111873309, 4.341932188947932, 5.355700207721038, 9.664745419024355, 4.54383675678105, 5.383461993728603, 6.478135943186929, 7.742963105690853), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), # 0
(15, 13, 17, 17, 10, 2, 8, 10, 5, 4, 6, 0, 0, 16, 11, 12, 8, 13, 6, 11, 9, 7, 4, 3, 1, 0), # 1
(26, 26, 22, 27, 19, 4, 13, 12, 8, 5, 10, 1, 0, 30, 18, 19, 14, 28, 10, 14, 15, 10, 5, 5, 2, 0), # 2
(40, 43, 31, 37, 27, 6, 17, 21, 10, 6, 12, 2, 0, 33, 26, 25, 20, 40, 13, 17, 17, 14, 7, 7, 4, 0), # 3
(58, 51, 40, 46, 36, 10, 26, 27, 15, 12, 12, 2, 0, 39, 39, 33, 23, 47, 22, 20, 21, 17, 7, 10, 6, 0), # 4
(78, 60, 51, 56, 47, 15, 30, 36, 17, 15, 13, 3, 0, 55, 46, 44, 28, 56, 32, 24, 25, 22, 11, 11, 8, 0), # 5
(89, 74, 64, 65, 55, 19, 33, 39, 19, 15, 14, 4, 0, 68, 56, 59, 34, 66, 41, 30, 30, 28, 14, 12, 8, 0), # 6
(110, 90, 82, 78, 66, 23, 35, 43, 27, 16, 16, 5, 0, 79, 66, 62, 44, 77, 54, 35, 34, 33, 15, 14, 10, 0), # 7
(123, 107, 97, 90, 71, 27, 46, 47, 33, 18, 20, 6, 0, 90, 78, 73, 51, 89, 65, 43, 36, 36, 20, 15, 11, 0), # 8
(136, 121, 112, 102, 84, 34, 55, 56, 42, 20, 22, 7, 0, 103, 92, 77, 59, 99, 75, 51, 39, 41, 27, 17, 11, 0), # 9
(151, 135, 126, 112, 91, 41, 62, 63, 47, 20, 23, 8, 0, 111, 102, 89, 71, 109, 82, 54, 41, 44, 29, 23, 12, 0), # 10
(169, 144, 139, 124, 101, 43, 72, 66, 57, 24, 26, 11, 0, 125, 118, 99, 81, 122, 99, 61, 45, 52, 34, 33, 13, 0), # 11
(185, 166, 152, 140, 112, 48, 80, 73, 61, 28, 28, 14, 0, 133, 135, 109, 89, 134, 104, 65, 46, 60, 37, 34, 15, 0), # 12
(202, 189, 161, 159, 127, 51, 92, 80, 68, 29, 31, 16, 0, 148, 145, 114, 102, 149, 111, 71, 51, 64, 46, 41, 18, 0), # 13
(217, 218, 175, 169, 135, 56, 96, 89, 75, 32, 32, 17, 0, 164, 159, 125, 114, 160, 118, 78, 54, 71, 50, 43, 19, 0), # 14
(241, 236, 182, 186, 150, 59, 106, 98, 83, 33, 35, 20, 0, 188, 174, 135, 127, 169, 127, 86, 56, 78, 52, 47, 21, 0), # 15
(267, 254, 194, 203, 161, 67, 110, 104, 94, 33, 38, 20, 0, 211, 186, 148, 132, 178, 136, 97, 57, 88, 54, 47, 21, 0), # 16
(277, 270, 208, 226, 173, 70, 121, 117, 103, 38, 40, 21, 0, 232, 204, 164, 142, 186, 145, 107, 62, 93, 56, 51, 22, 0), # 17
(297, 284, 222, 239, 187, 73, 126, 131, 112, 39, 41, 21, 0, 249, 215, 184, 148, 198, 158, 114, 64, 101, 60, 54, 22, 0), # 18
(318, 308, 238, 254, 195, 77, 133, 140, 122, 44, 41, 21, 0, 262, 233, 196, 156, 220, 166, 118, 71, 106, 66, 57, 24, 0), # 19
(340, 329, 254, 261, 205, 87, 142, 151, 129, 47, 43, 23, 0, 274, 250, 216, 168, 231, 174, 126, 76, 114, 75, 61, 24, 0), # 20
(354, 346, 273, 278, 221, 93, 149, 156, 134, 51, 46, 25, 0, 287, 271, 225, 184, 248, 179, 130, 80, 120, 79, 65, 26, 0), # 21
(374, 358, 288, 294, 235, 101, 153, 167, 139, 51, 49, 25, 0, 308, 284, 237, 195, 265, 189, 138, 83, 127, 83, 71, 28, 0), # 22
(392, 375, 301, 313, 246, 110, 161, 175, 147, 53, 52, 26, 0, 322, 310, 248, 204, 284, 202, 150, 91, 134, 90, 75, 30, 0), # 23
(400, 394, 318, 324, 262, 116, 166, 184, 155, 57, 52, 26, 0, 343, 327, 262, 215, 294, 216, 160, 96, 139, 95, 79, 30, 0), # 24
(417, 419, 332, 335, 271, 119, 177, 190, 158, 58, 55, 26, 0, 361, 347, 274, 223, 310, 226, 164, 108, 147, 96, 82, 31, 0), # 25
(434, 435, 349, 347, 287, 126, 186, 198, 168, 62, 56, 28, 0, 382, 368, 280, 239, 317, 239, 171, 113, 154, 103, 84, 33, 0), # 26
(453, 448, 360, 363, 299, 132, 196, 205, 175, 65, 57, 30, 0, 397, 388, 289, 252, 328, 244, 179, 115, 159, 113, 85, 38, 0), # 27
(471, 467, 369, 379, 315, 138, 200, 208, 180, 68, 58, 33, 0, 415, 405, 305, 259, 343, 253, 188, 120, 167, 116, 88, 40, 0), # 28
(491, 482, 383, 391, 332, 144, 208, 212, 184, 72, 61, 34, 0, 428, 428, 319, 268, 366, 258, 199, 128, 173, 120, 93, 42, 0), # 29
(507, 499, 405, 405, 352, 150, 211, 220, 188, 75, 64, 36, 0, 442, 449, 340, 278, 373, 268, 206, 132, 180, 129, 96, 42, 0), # 30
(528, 514, 424, 414, 361, 162, 222, 228, 195, 78, 68, 36, 0, 457, 471, 357, 283, 387, 274, 216, 137, 183, 136, 100, 42, 0), # 31
(543, 530, 435, 431, 369, 171, 227, 237, 201, 79, 70, 37, 0, 478, 485, 369, 291, 407, 280, 228, 144, 188, 141, 102, 44, 0), # 32
(558, 546, 444, 443, 380, 181, 233, 239, 207, 84, 72, 40, 0, 498, 498, 382, 300, 422, 286, 236, 147, 193, 144, 109, 45, 0), # 33
(575, 563, 453, 463, 398, 186, 238, 245, 214, 85, 75, 43, 0, 515, 512, 392, 316, 441, 293, 241, 153, 200, 150, 114, 45, 0), # 34
(598, 577, 471, 480, 412, 190, 247, 253, 224, 91, 78, 44, 0, 532, 535, 398, 329, 458, 304, 254, 158, 208, 155, 117, 46, 0), # 35
(620, 593, 489, 496, 421, 199, 255, 262, 232, 94, 82, 45, 0, 545, 550, 415, 341, 474, 316, 260, 160, 215, 164, 122, 47, 0), # 36
(639, 610, 504, 512, 430, 203, 260, 269, 242, 97, 87, 46, 0, 572, 564, 427, 348, 487, 321, 266, 164, 223, 169, 124, 48, 0), # 37
(661, 634, 520, 529, 442, 214, 261, 274, 250, 103, 90, 49, 0, 597, 574, 435, 362, 504, 329, 269, 166, 233, 175, 129, 54, 0), # 38
(686, 648, 533, 553, 459, 226, 269, 281, 261, 106, 93, 50, 0, 616, 591, 454, 368, 522, 335, 277, 167, 240, 181, 132, 54, 0), # 39
(703, 671, 547, 569, 469, 232, 273, 290, 267, 107, 96, 52, 0, 638, 602, 468, 380, 532, 344, 284, 170, 251, 191, 132, 55, 0), # 40
(721, 693, 563, 580, 482, 236, 278, 297, 274, 115, 98, 53, 0, 650, 621, 481, 390, 544, 351, 294, 179, 261, 196, 134, 56, 0), # 41
(740, 711, 579, 598, 494, 244, 288, 305, 281, 116, 102, 54, 0, 663, 646, 495, 397, 560, 366, 299, 182, 266, 202, 139, 59, 0), # 42
(759, 724, 597, 610, 509, 248, 294, 313, 291, 119, 107, 55, 0, 680, 661, 503, 410, 579, 374, 303, 185, 273, 203, 142, 60, 0), # 43
(780, 737, 607, 632, 524, 255, 302, 317, 302, 121, 107, 56, 0, 695, 679, 514, 422, 592, 378, 311, 190, 277, 208, 144, 62, 0), # 44
(804, 757, 626, 647, 542, 261, 308, 323, 314, 124, 110, 59, 0, 711, 692, 532, 437, 611, 388, 318, 191, 286, 216, 147, 64, 0), # 45
(826, 767, 644, 666, 562, 261, 316, 334, 320, 124, 114, 61, 0, 731, 709, 539, 449, 622, 398, 323, 195, 289, 220, 149, 67, 0), # 46
(845, 780, 666, 682, 579, 264, 321, 339, 325, 126, 117, 63, 0, 746, 725, 555, 454, 635, 412, 335, 198, 300, 226, 156, 68, 0), # 47
(865, 801, 678, 695, 594, 272, 329, 345, 331, 130, 120, 63, 0, 768, 740, 570, 462, 648, 420, 349, 200, 311, 233, 161, 68, 0), # 48
(892, 817, 696, 708, 608, 278, 332, 355, 339, 131, 121, 66, 0, 785, 751, 583, 470, 657, 429, 359, 207, 315, 239, 164, 69, 0), # 49
(910, 841, 710, 725, 626, 282, 338, 362, 343, 134, 122, 66, 0, 801, 766, 598, 476, 682, 438, 367, 213, 318, 245, 168, 70, 0), # 50
(921, 861, 727, 751, 640, 288, 343, 365, 355, 138, 122, 68, 0, 815, 784, 607, 487, 698, 449, 370, 218, 330, 247, 169, 72, 0), # 51
(940, 878, 741, 769, 652, 295, 347, 373, 363, 140, 126, 70, 0, 838, 800, 620, 498, 710, 454, 378, 224, 335, 253, 170, 74, 0), # 52
(954, 891, 761, 784, 666, 307, 358, 376, 371, 143, 129, 75, 0, 847, 809, 635, 514, 718, 467, 386, 228, 340, 259, 172, 75, 0), # 53
(981, 911, 778, 801, 680, 313, 366, 383, 379, 145, 130, 75, 0, 866, 828, 648, 523, 728, 471, 395, 231, 344, 263, 175, 77, 0), # 54
(1004, 936, 792, 812, 701, 320, 370, 389, 390, 149, 130, 75, 0, 888, 844, 655, 529, 744, 481, 404, 234, 352, 273, 178, 79, 0), # 55
(1020, 953, 809, 827, 714, 326, 377, 394, 396, 150, 133, 76, 0, 904, 860, 670, 531, 756, 493, 413, 240, 358, 278, 178, 82, 0), # 56
(1037, 969, 825, 845, 732, 332, 381, 396, 401, 151, 136, 77, 0, 921, 876, 682, 540, 770, 509, 420, 244, 366, 290, 180, 83, 0), # 57
(1056, 985, 838, 857, 740, 338, 390, 403, 405, 153, 140, 81, 0, 939, 883, 692, 554, 794, 520, 425, 250, 372, 294, 182, 85, 0), # 58
(1076, 1003, 855, 873, 753, 346, 397, 412, 408, 155, 142, 81, 0, 952, 892, 706, 565, 812, 529, 434, 254, 381, 297, 184, 85, 0), # 59
(1095, 1024, 879, 889, 770, 356, 403, 414, 418, 157, 144, 85, 0, 970, 905, 720, 572, 824, 536, 435, 258, 385, 302, 186, 88, 0), # 60
(1123, 1047, 894, 905, 785, 365, 410, 420, 428, 158, 144, 86, 0, 988, 922, 736, 583, 840, 546, 443, 264, 389, 310, 187, 89, 0), # 61
(1143, 1062, 903, 924, 794, 381, 419, 425, 438, 162, 144, 86, 0, 1008, 938, 748, 593, 860, 553, 447, 268, 393, 316, 193, 91, 0), # 62
(1153, 1075, 916, 947, 804, 389, 425, 430, 446, 163, 147, 86, 0, 1024, 950, 766, 603, 873, 558, 452, 273, 398, 321, 194, 92, 0), # 63
(1162, 1090, 934, 968, 820, 392, 437, 436, 451, 169, 149, 86, 0, 1048, 963, 781, 619, 889, 563, 458, 279, 406, 324, 198, 94, 0), # 64
(1181, 1105, 946, 980, 834, 400, 448, 442, 458, 175, 150, 87, 0, 1063, 978, 790, 627, 899, 570, 464, 281, 417, 326, 205, 94, 0), # 65
(1202, 1121, 964, 994, 847, 404, 460, 445, 462, 181, 151, 88, 0, 1078, 998, 802, 633, 914, 578, 468, 284, 420, 331, 211, 94, 0), # 66
(1217, 1136, 980, 1008, 859, 406, 470, 450, 466, 184, 157, 92, 0, 1098, 1018, 819, 641, 928, 584, 477, 291, 429, 336, 214, 95, 0), # 67
(1245, 1160, 994, 1025, 876, 415, 472, 455, 469, 187, 162, 93, 0, 1109, 1036, 837, 647, 939, 595, 483, 298, 435, 339, 216, 95, 0), # 68
(1252, 1178, 1005, 1037, 886, 416, 476, 460, 477, 189, 165, 95, 0, 1123, 1051, 846, 661, 959, 600, 492, 303, 440, 343, 219, 101, 0), # 69
(1268, 1191, 1019, 1068, 901, 421, 480, 467, 482, 189, 170, 95, 0, 1141, 1068, 855, 675, 969, 603, 495, 307, 444, 354, 224, 101, 0), # 70
(1284, 1203, 1032, 1079, 910, 424, 483, 475, 488, 192, 173, 98, 0, 1165, 1092, 871, 679, 986, 610, 503, 307, 451, 360, 228, 101, 0), # 71
(1315, 1217, 1048, 1090, 927, 430, 490, 478, 492, 193, 174, 101, 0, 1182, 1107, 886, 693, 1003, 613, 509, 313, 458, 366, 232, 104, 0), # 72
(1328, 1233, 1059, 1104, 941, 434, 499, 482, 499, 198, 175, 102, 0, 1196, 1114, 903, 705, 1017, 617, 514, 324, 464, 370, 237, 106, 0), # 73
(1351, 1249, 1072, 1116, 963, 442, 509, 486, 505, 200, 177, 102, 0, 1217, 1127, 924, 712, 1030, 627, 518, 328, 473, 379, 241, 108, 0), # 74
(1372, 1269, 1084, 1141, 980, 446, 516, 492, 511, 201, 178, 102, 0, 1232, 1153, 941, 722, 1049, 635, 523, 333, 475, 383, 243, 108, 0), # 75
(1388, 1282, 1107, 1156, 990, 450, 521, 501, 519, 202, 181, 103, 0, 1244, 1170, 952, 727, 1055, 641, 526, 339, 485, 387, 245, 109, 0), # 76
(1400, 1292, 1124, 1172, 999, 455, 528, 509, 527, 205, 183, 104, 0, 1254, 1183, 968, 734, 1071, 644, 531, 342, 489, 391, 249, 110, 0), # 77
(1420, 1306, 1141, 1191, 1017, 464, 534, 512, 536, 207, 186, 106, 0, 1273, 1201, 982, 745, 1095, 652, 538, 348, 496, 396, 253, 111, 0), # 78
(1444, 1319, 1153, 1205, 1026, 470, 542, 516, 541, 211, 189, 107, 0, 1293, 1213, 990, 752, 1115, 656, 545, 355, 500, 398, 256, 114, 0), # 79
(1471, 1333, 1167, 1218, 1037, 474, 549, 520, 548, 215, 191, 107, 0, 1305, 1226, 1001, 757, 1131, 662, 555, 361, 508, 404, 259, 116, 0), # 80
(1490, 1347, 1183, 1235, 1054, 482, 552, 528, 556, 216, 195, 109, 0, 1334, 1242, 1018, 772, 1147, 674, 558, 366, 518, 405, 268, 116, 0), # 81
(1510, 1362, 1195, 1256, 1069, 486, 562, 535, 567, 220, 196, 111, 0, 1350, 1258, 1025, 776, 1160, 681, 563, 371, 524, 408, 273, 119, 0), # 82
(1522, 1374, 1205, 1266, 1075, 497, 566, 542, 577, 223, 198, 111, 0, 1361, 1272, 1035, 785, 1178, 688, 569, 372, 529, 412, 275, 119, 0), # 83
(1543, 1389, 1219, 1280, 1082, 504, 570, 547, 584, 224, 201, 112, 0, 1381, 1284, 1044, 795, 1195, 695, 576, 377, 537, 420, 279, 120, 0), # 84
(1559, 1399, 1237, 1298, 1091, 506, 575, 554, 590, 226, 202, 114, 0, 1395, 1294, 1054, 804, 1211, 699, 581, 379, 544, 425, 280, 121, 0), # 85
(1576, 1416, 1261, 1316, 1108, 512, 580, 560, 596, 228, 204, 114, 0, 1410, 1314, 1064, 808, 1225, 706, 586, 385, 552, 430, 284, 123, 0), # 86
(1596, 1429, 1280, 1334, 1121, 517, 585, 563, 604, 231, 206, 114, 0, 1427, 1333, 1074, 814, 1235, 713, 592, 392, 557, 432, 286, 125, 0), # 87
(1608, 1443, 1299, 1347, 1137, 524, 593, 564, 613, 235, 206, 115, 0, 1446, 1344, 1085, 818, 1248, 722, 595, 396, 559, 436, 287, 126, 0), # 88
(1630, 1453, 1318, 1372, 1153, 527, 600, 570, 623, 238, 206, 115, 0, 1467, 1362, 1095, 829, 1265, 727, 599, 398, 570, 441, 290, 128, 0), # 89
(1656, 1465, 1332, 1387, 1167, 530, 606, 577, 635, 242, 207, 115, 0, 1485, 1381, 1106, 836, 1279, 734, 602, 401, 579, 445, 294, 131, 0), # 90
(1673, 1480, 1346, 1409, 1182, 535, 609, 582, 647, 243, 209, 115, 0, 1502, 1392, 1115, 844, 1297, 739, 608, 405, 584, 449, 297, 132, 0), # 91
(1693, 1496, 1352, 1427, 1188, 546, 614, 587, 654, 248, 213, 115, 0, 1523, 1408, 1124, 848, 1308, 746, 613, 407, 593, 458, 298, 135, 0), # 92
(1709, 1511, 1377, 1447, 1197, 552, 626, 587, 661, 252, 213, 116, 0, 1542, 1419, 1132, 863, 1314, 752, 622, 413, 600, 463, 301, 137, 0), # 93
(1734, 1523, 1393, 1462, 1223, 557, 631, 590, 672, 255, 217, 117, 0, 1565, 1429, 1143, 871, 1322, 766, 628, 416, 606, 468, 304, 141, 0), # 94
(1753, 1538, 1405, 1480, 1238, 561, 636, 596, 680, 257, 218, 119, 0, 1585, 1438, 1148, 880, 1331, 775, 633, 419, 611, 471, 311, 141, 0), # 95
(1766, 1548, 1415, 1492, 1253, 568, 638, 604, 684, 258, 224, 121, 0, 1596, 1448, 1158, 888, 1343, 783, 636, 421, 619, 476, 314, 144, 0), # 96
(1790, 1560, 1428, 1509, 1264, 572, 649, 610, 692, 263, 224, 123, 0, 1610, 1460, 1165, 896, 1359, 787, 644, 423, 630, 484, 315, 145, 0), # 97
(1807, 1573, 1443, 1529, 1284, 580, 653, 611, 700, 265, 226, 127, 0, 1628, 1478, 1177, 901, 1378, 794, 649, 428, 637, 489, 320, 145, 0), # 98
(1821, 1586, 1455, 1544, 1297, 594, 657, 614, 705, 267, 228, 128, 0, 1646, 1491, 1188, 907, 1391, 795, 658, 434, 644, 491, 326, 148, 0), # 99
(1841, 1593, 1469, 1557, 1311, 607, 663, 617, 712, 271, 232, 128, 0, 1661, 1509, 1198, 911, 1405, 802, 665, 445, 648, 495, 326, 150, 0), # 100
(1858, 1608, 1486, 1571, 1318, 610, 669, 622, 722, 271, 235, 129, 0, 1674, 1521, 1211, 922, 1423, 808, 672, 448, 653, 499, 327, 151, 0), # 101
(1878, 1626, 1496, 1586, 1332, 617, 675, 625, 723, 272, 236, 130, 0, 1693, 1537, 1222, 936, 1439, 820, 678, 455, 659, 504, 329, 153, 0), # 102
(1891, 1637, 1516, 1598, 1346, 622, 678, 633, 727, 276, 238, 130, 0, 1706, 1555, 1233, 949, 1451, 827, 682, 460, 669, 507, 333, 155, 0), # 103
(1904, 1650, 1527, 1615, 1355, 629, 683, 636, 732, 280, 238, 131, 0, 1722, 1568, 1244, 957, 1463, 836, 686, 465, 675, 511, 336, 155, 0), # 104
(1917, 1664, 1536, 1633, 1366, 630, 689, 644, 739, 281, 239, 133, 0, 1739, 1581, 1248, 963, 1477, 840, 694, 469, 686, 520, 338, 155, 0), # 105
(1928, 1682, 1544, 1649, 1376, 636, 693, 649, 741, 284, 239, 135, 0, 1757, 1592, 1255, 969, 1491, 847, 701, 473, 697, 528, 340, 157, 0), # 106
(1937, 1693, 1560, 1661, 1387, 645, 698, 652, 744, 288, 240, 135, 0, 1776, 1604, 1269, 975, 1499, 854, 709, 480, 702, 530, 343, 158, 0), # 107
(1949, 1707, 1578, 1678, 1405, 650, 706, 655, 753, 289, 242, 138, 0, 1803, 1619, 1280, 982, 1509, 861, 710, 485, 710, 538, 350, 159, 0), # 108
(1969, 1727, 1599, 1697, 1421, 655, 711, 663, 766, 294, 245, 140, 0, 1823, 1634, 1293, 988, 1530, 866, 716, 486, 715, 541, 352, 159, 0), # 109
(1990, 1746, 1615, 1704, 1433, 661, 715, 668, 779, 297, 248, 140, 0, 1837, 1643, 1301, 998, 1543, 869, 722, 489, 720, 546, 357, 161, 0), # 110
(2004, 1760, 1630, 1723, 1447, 664, 720, 672, 786, 302, 252, 142, 0, 1854, 1659, 1314, 1004, 1555, 875, 728, 494, 722, 551, 360, 162, 0), # 111
(2019, 1773, 1640, 1734, 1456, 670, 723, 678, 794, 304, 253, 144, 0, 1867, 1678, 1328, 1008, 1564, 877, 733, 495, 727, 562, 362, 164, 0), # 112
(2040, 1788, 1657, 1752, 1462, 676, 725, 684, 802, 308, 256, 146, 0, 1879, 1691, 1340, 1019, 1576, 890, 740, 499, 737, 565, 366, 165, 0), # 113
(2055, 1800, 1667, 1763, 1478, 681, 733, 685, 808, 309, 259, 147, 0, 1894, 1706, 1351, 1032, 1592, 900, 747, 508, 740, 569, 370, 166, 0), # 114
(2072, 1819, 1678, 1774, 1494, 689, 738, 693, 812, 311, 262, 149, 0, 1910, 1724, 1367, 1036, 1604, 901, 751, 515, 747, 574, 372, 166, 0), # 115
(2091, 1831, 1686, 1786, 1508, 695, 744, 696, 817, 316, 265, 150, 0, 1929, 1735, 1377, 1043, 1618, 907, 760, 518, 757, 576, 374, 166, 0), # 116
(2111, 1844, 1698, 1804, 1523, 701, 753, 701, 824, 316, 267, 153, 0, 1955, 1756, 1389, 1048, 1628, 915, 763, 525, 765, 583, 378, 166, 0), # 117
(2126, 1854, 1708, 1821, 1536, 706, 760, 705, 827, 318, 267, 154, 0, 1964, 1770, 1399, 1052, 1640, 922, 769, 527, 772, 587, 380, 166, 0), # 118
(2143, 1868, 1719, 1837, 1546, 710, 763, 710, 838, 321, 267, 156, 0, 1978, 1785, 1403, 1062, 1649, 928, 775, 528, 778, 596, 381, 168, 0), # 119
(2160, 1872, 1736, 1856, 1556, 719, 768, 713, 848, 324, 268, 156, 0, 2003, 1798, 1412, 1071, 1661, 936, 778, 532, 782, 605, 385, 169, 0), # 120
(2179, 1885, 1748, 1868, 1576, 726, 771, 714, 854, 329, 270, 157, 0, 2013, 1813, 1425, 1078, 1674, 941, 784, 536, 785, 609, 385, 171, 0), # 121
(2195, 1898, 1760, 1884, 1588, 730, 774, 718, 862, 335, 272, 158, 0, 2023, 1823, 1432, 1082, 1689, 950, 787, 538, 790, 615, 387, 173, 0), # 122
(2214, 1907, 1770, 1897, 1600, 735, 776, 721, 868, 337, 276, 159, 0, 2033, 1836, 1439, 1090, 1711, 951, 790, 544, 793, 618, 389, 173, 0), # 123
(2235, 1925, 1785, 1911, 1615, 739, 780, 727, 874, 338, 278, 159, 0, 2045, 1847, 1449, 1099, 1731, 954, 792, 550, 804, 625, 391, 173, 0), # 124
(2245, 1943, 1798, 1928, 1631, 742, 786, 729, 885, 339, 279, 160, 0, 2059, 1862, 1459, 1109, 1752, 962, 800, 556, 811, 633, 395, 177, 0), # 125
(2258, 1951, 1809, 1938, 1640, 749, 789, 734, 894, 342, 283, 162, 0, 2071, 1872, 1467, 1121, 1761, 969, 806, 562, 817, 638, 397, 177, 0), # 126
(2274, 1958, 1818, 1955, 1652, 752, 799, 743, 899, 343, 284, 168, 0, 2081, 1889, 1476, 1129, 1774, 974, 815, 566, 821, 643, 402, 178, 0), # 127
(2294, 1967, 1830, 1968, 1664, 759, 804, 746, 904, 347, 288, 169, 0, 2100, 1906, 1489, 1134, 1785, 984, 817, 569, 832, 653, 403, 180, 0), # 128
(2305, 1985, 1845, 1982, 1677, 764, 812, 753, 909, 350, 289, 170, 0, 2117, 1926, 1498, 1143, 1800, 995, 824, 574, 835, 656, 408, 181, 0), # 129
(2324, 2003, 1858, 1994, 1688, 770, 817, 758, 917, 353, 291, 171, 0, 2133, 1939, 1505, 1152, 1811, 1006, 830, 581, 842, 657, 410, 183, 0), # 130
(2337, 2016, 1876, 2005, 1699, 776, 824, 762, 925, 356, 291, 171, 0, 2154, 1954, 1509, 1161, 1830, 1009, 833, 586, 845, 663, 411, 185, 0), # 131
(2350, 2023, 1884, 2021, 1714, 780, 829, 772, 935, 360, 293, 172, 0, 2161, 1967, 1523, 1166, 1836, 1013, 836, 589, 849, 668, 415, 187, 0), # 132
(2371, 2035, 1901, 2036, 1724, 785, 834, 778, 941, 362, 293, 175, 0, 2178, 1976, 1536, 1176, 1845, 1016, 841, 592, 853, 670, 415, 188, 0), # 133
(2388, 2051, 1912, 2055, 1735, 793, 837, 780, 950, 365, 296, 177, 0, 2188, 1988, 1544, 1179, 1856, 1022, 847, 594, 863, 676, 415, 188, 0), # 134
(2405, 2057, 1929, 2065, 1744, 799, 840, 787, 957, 367, 298, 177, 0, 2197, 2000, 1552, 1186, 1866, 1032, 849, 598, 868, 680, 416, 190, 0), # 135
(2427, 2063, 1936, 2087, 1758, 809, 843, 793, 958, 369, 301, 177, 0, 2213, 2005, 1560, 1191, 1874, 1042, 852, 603, 871, 691, 417, 190, 0), # 136
(2437, 2072, 1949, 2097, 1771, 814, 853, 800, 963, 371, 307, 179, 0, 2233, 2022, 1571, 1193, 1892, 1048, 859, 608, 875, 693, 419, 191, 0), # 137
(2449, 2081, 1963, 2120, 1785, 822, 860, 803, 970, 376, 308, 179, 0, 2248, 2035, 1581, 1200, 1899, 1051, 868, 612, 879, 693, 422, 193, 0), # 138
(2471, 2093, 1973, 2128, 1796, 829, 862, 803, 976, 377, 309, 179, 0, 2265, 2044, 1586, 1208, 1911, 1055, 871, 615, 886, 697, 426, 194, 0), # 139
(2490, 2104, 1983, 2138, 1804, 837, 866, 809, 981, 381, 310, 179, 0, 2283, 2059, 1592, 1214, 1919, 1057, 874, 617, 897, 701, 430, 195, 0), # 140
(2510, 2116, 1997, 2150, 1814, 842, 872, 811, 987, 382, 311, 181, 0, 2298, 2078, 1602, 1223, 1936, 1062, 879, 624, 901, 704, 431, 196, 0), # 141
(2521, 2129, 2010, 2159, 1824, 847, 878, 816, 994, 384, 313, 181, 0, 2316, 2092, 1609, 1232, 1952, 1071, 886, 627, 908, 706, 434, 197, 0), # 142
(2533, 2139, 2022, 2169, 1840, 851, 883, 819, 1003, 386, 316, 184, 0, 2333, 2105, 1621, 1242, 1967, 1074, 892, 636, 914, 714, 435, 197, 0), # 143
(2548, 2150, 2034, 2179, 1851, 855, 890, 826, 1008, 387, 317, 184, 0, 2351, 2118, 1629, 1245, 1988, 1077, 898, 644, 915, 719, 439, 199, 0), # 144
(2563, 2164, 2046, 2187, 1858, 857, 891, 834, 1013, 388, 321, 185, 0, 2365, 2133, 1637, 1249, 2001, 1086, 904, 652, 924, 722, 441, 199, 0), # 145
(2579, 2171, 2060, 2196, 1870, 867, 898, 834, 1016, 391, 322, 185, 0, 2387, 2140, 1641, 1257, 2015, 1091, 908, 657, 932, 729, 447, 201, 0), # 146
(2593, 2179, 2076, 2214, 1878, 871, 902, 836, 1024, 392, 324, 187, 0, 2402, 2152, 1649, 1267, 2024, 1095, 914, 662, 941, 736, 450, 201, 0), # 147
(2607, 2187, 2095, 2227, 1888, 879, 909, 842, 1031, 394, 328, 187, 0, 2419, 2159, 1658, 1275, 2038, 1103, 917, 667, 946, 739, 452, 203, 0), # 148
(2620, 2197, 2100, 2246, 1903, 887, 912, 847, 1041, 397, 331, 187, 0, 2429, 2172, 1665, 1283, 2051, 1108, 917, 671, 948, 741, 457, 204, 0), # 149
(2637, 2207, 2107, 2256, 1917, 893, 917, 854, 1046, 400, 335, 188, 0, 2442, 2184, 1670, 1292, 2063, 1115, 921, 676, 952, 743, 460, 204, 0), # 150
(2654, 2216, 2124, 2273, 1934, 905, 919, 858, 1051, 403, 337, 190, 0, 2458, 2201, 1677, 1299, 2081, 1116, 923, 680, 956, 747, 463, 205, 0), # 151
(2668, 2223, 2130, 2284, 1946, 909, 923, 865, 1058, 404, 337, 191, 0, 2471, 2214, 1685, 1305, 2097, 1124, 926, 682, 961, 753, 466, 206, 0), # 152
(2683, 2232, 2145, 2292, 1958, 911, 925, 868, 1064, 404, 340, 194, 0, 2488, 2231, 1691, 1310, 2108, 1134, 932, 687, 969, 756, 468, 206, 0), # 153
(2692, 2244, 2153, 2309, 1964, 915, 928, 872, 1066, 407, 340, 195, 0, 2501, 2246, 1697, 1319, 2121, 1138, 937, 689, 972, 761, 470, 206, 0), # 154
(2711, 2255, 2170, 2319, 1970, 922, 935, 877, 1072, 408, 343, 197, 0, 2511, 2262, 1705, 1329, 2136, 1140, 940, 690, 978, 763, 471, 207, 0), # 155
(2719, 2262, 2181, 2332, 1982, 926, 941, 879, 1081, 410, 343, 198, 0, 2523, 2279, 1710, 1335, 2144, 1145, 942, 695, 984, 767, 472, 209, 0), # 156
(2736, 2276, 2195, 2344, 1993, 930, 946, 879, 1089, 414, 347, 200, 0, 2538, 2292, 1718, 1345, 2159, 1148, 948, 696, 995, 773, 475, 209, 0), # 157
(2748, 2285, 2212, 2354, 2000, 933, 951, 882, 1096, 414, 350, 202, 0, 2554, 2301, 1725, 1354, 2167, 1152, 949, 703, 998, 776, 477, 209, 0), # 158
(2758, 2294, 2227, 2375, 2014, 940, 953, 888, 1100, 416, 351, 203, 0, 2565, 2320, 1735, 1363, 2186, 1155, 952, 704, 1006, 777, 480, 209, 0), # 159
(2768, 2306, 2238, 2386, 2027, 944, 958, 893, 1109, 419, 351, 203, 0, 2578, 2330, 1744, 1366, 2198, 1160, 955, 710, 1008, 783, 481, 210, 0), # 160
(2781, 2323, 2254, 2403, 2031, 949, 962, 899, 1115, 421, 352, 203, 0, 2589, 2341, 1749, 1376, 2213, 1167, 965, 712, 1011, 789, 487, 212, 0), # 161
(2791, 2330, 2265, 2409, 2039, 958, 966, 907, 1118, 422, 355, 208, 0, 2604, 2351, 1757, 1381, 2225, 1172, 969, 714, 1011, 790, 488, 212, 0), # 162
(2811, 2342, 2271, 2420, 2050, 964, 972, 917, 1130, 427, 359, 210, 0, 2625, 2358, 1767, 1391, 2233, 1176, 976, 718, 1015, 793, 491, 213, 0), # 163
(2824, 2348, 2280, 2427, 2065, 970, 974, 923, 1135, 430, 359, 211, 0, 2636, 2366, 1778, 1402, 2246, 1184, 978, 723, 1020, 794, 493, 213, 0), # 164
(2840, 2359, 2294, 2438, 2078, 972, 978, 925, 1140, 432, 360, 211, 0, 2645, 2377, 1782, 1412, 2259, 1187, 982, 727, 1024, 796, 496, 214, 0), # 165
(2858, 2368, 2306, 2445, 2093, 976, 983, 929, 1148, 432, 361, 212, 0, 2654, 2385, 1791, 1416, 2269, 1191, 983, 730, 1038, 802, 497, 214, 0), # 166
(2872, 2371, 2314, 2455, 2100, 982, 985, 932, 1152, 433, 361, 213, 0, 2669, 2388, 1799, 1429, 2276, 1194, 990, 736, 1046, 804, 498, 215, 0), # 167
(2886, 2379, 2321, 2467, 2107, 990, 986, 933, 1154, 433, 364, 216, 0, 2686, 2396, 1800, 1435, 2287, 1198, 992, 736, 1049, 804, 500, 215, 0), # 168
(2898, 2390, 2328, 2477, 2120, 992, 988, 936, 1160, 436, 365, 216, 0, 2697, 2407, 1814, 1439, 2295, 1202, 993, 740, 1054, 809, 500, 216, 0), # 169
(2904, 2401, 2336, 2488, 2132, 998, 990, 937, 1166, 436, 366, 216, 0, 2709, 2416, 1819, 1445, 2306, 1208, 995, 744, 1057, 811, 503, 216, 0), # 170
(2910, 2407, 2348, 2498, 2142, 1003, 991, 938, 1169, 437, 367, 217, 0, 2721, 2427, 1821, 1448, 2310, 1209, 997, 747, 1060, 814, 504, 216, 0), # 171
(2920, 2413, 2360, 2513, 2151, 1007, 996, 941, 1170, 440, 369, 217, 0, 2734, 2433, 1825, 1453, 2321, 1215, 998, 750, 1062, 818, 505, 216, 0), # 172
(2929, 2419, 2369, 2518, 2161, 1009, 999, 944, 1179, 441, 371, 217, 0, 2747, 2441, 1829, 1455, 2329, 1222, 999, 752, 1064, 825, 505, 218, 0), # 173
(2938, 2424, 2376, 2529, 2171, 1013, 1001, 946, 1182, 443, 371, 218, 0, 2758, 2446, 1835, 1456, 2335, 1230, 1002, 752, 1070, 829, 505, 218, 0), # 174
(2949, 2428, 2381, 2541, 2182, 1013, 1005, 948, 1187, 443, 371, 218, 0, 2767, 2450, 1840, 1460, 2341, 1234, 1004, 755, 1072, 831, 505, 218, 0), # 175
(2955, 2435, 2389, 2552, 2185, 1018, 1007, 952, 1189, 445, 373, 218, 0, 2782, 2454, 1845, 1462, 2348, 1235, 1008, 759, 1074, 833, 509, 218, 0), # 176
(2961, 2438, 2396, 2558, 2188, 1021, 1008, 952, 1192, 447, 373, 219, 0, 2786, 2459, 1849, 1470, 2358, 1239, 1008, 762, 1078, 835, 510, 218, 0), # 177
(2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0), # 178
(2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0), # 179
)
passenger_arriving_rate = (
(9.037558041069182, 9.116726123493724, 7.81692484441876, 8.389801494715634, 6.665622729131535, 3.295587678639206, 3.7314320538365235, 3.4898821297345672, 3.654059437300804, 1.781106756985067, 1.261579549165681, 0.7346872617459261, 0.0, 9.150984382641052, 8.081559879205185, 6.307897745828405, 5.3433202709552, 7.308118874601608, 4.885834981628395, 3.7314320538365235, 2.3539911990280045, 3.3328113645657673, 2.7966004982385453, 1.5633849688837522, 0.828793283953975, 0.0), # 0
(9.637788873635953, 9.718600145338852, 8.333019886995228, 8.943944741923431, 7.106988404969084, 3.5132827632446837, 3.9775220471373247, 3.7196352921792815, 3.8953471957997454, 1.8985413115247178, 1.3449288407868398, 0.7831824991221532, 0.0, 9.755624965391739, 8.615007490343684, 6.724644203934198, 5.695623934574153, 7.790694391599491, 5.207489409050994, 3.9775220471373247, 2.509487688031917, 3.553494202484542, 2.9813149139744777, 1.6666039773990458, 0.883509104121714, 0.0), # 1
(10.236101416163518, 10.318085531970116, 8.847063428321121, 9.495883401297473, 7.546755568499692, 3.7301093702380674, 4.222636657164634, 3.948468935928315, 4.135672084126529, 2.015511198759246, 1.4279469446328943, 0.8314848978079584, 0.0, 10.357856690777442, 9.14633387588754, 7.13973472316447, 6.046533596277737, 8.271344168253059, 5.527856510299641, 4.222636657164634, 2.6643638358843336, 3.773377784249846, 3.1652944670991583, 1.7694126856642243, 0.938007775633647, 0.0), # 2
(10.830164027663812, 10.912803828195138, 9.357016303979782, 10.0434281501683, 7.983194011202283, 3.9452076537143688, 4.46580327748316, 4.175475868120881, 4.374081096552656, 2.1315522142917818, 1.5103045235482149, 0.8794028527395692, 0.0, 10.955291051257605, 9.67343138013526, 7.551522617741075, 6.3946566428753435, 8.748162193105312, 5.845666215369232, 4.46580327748316, 2.818005466938835, 3.9915970056011414, 3.3478093833894342, 1.8714032607959565, 0.9920730752904672, 0.0), # 3
(11.417645067148767, 11.500376578821527, 9.860839349554556, 10.584389665866468, 8.41457352455579, 4.1577177677686015, 4.706049301657613, 4.399748895896186, 4.609621227349624, 2.246200153725456, 1.5916722403771728, 0.9267447588532147, 0.0, 11.54553953929167, 10.19419234738536, 7.958361201885864, 6.738600461176366, 9.219242454699248, 6.159648454254661, 4.706049301657613, 2.969798405549001, 4.207286762277895, 3.528129888622157, 1.9721678699109113, 1.0454887798928663, 0.0), # 4
(11.996212893630318, 12.07842532865692, 10.356493400628777, 11.11657862572253, 8.839163900039136, 4.366779866495776, 4.942402123252702, 4.620380826393444, 4.841339470788935, 2.3589908126633987, 1.67172075796414, 0.9733190110851223, 0.0, 12.126213647339089, 10.706509121936344, 8.358603789820698, 7.076972437990195, 9.68267894157787, 6.468533156950822, 4.942402123252702, 3.119128476068411, 4.419581950019568, 3.705526208574178, 2.071298680125756, 1.0980386662415385, 0.0), # 5
(12.5635358661204, 12.644571622508925, 10.8419392927858, 11.63780570706703, 9.255234929131252, 4.571534103990907, 5.173889135833137, 4.836464466751867, 5.068282821142089, 2.469459986708742, 1.750120739153485, 1.0189340043715214, 0.0, 12.694924867859292, 11.208274048086732, 8.750603695767424, 7.408379960126224, 10.136565642284179, 6.771050253452613, 5.173889135833137, 3.265381502850648, 4.627617464565626, 3.8792685690223445, 2.16838785855716, 1.1495065111371752, 0.0), # 6
(13.117282343630944, 13.196437005185167, 11.315137861608953, 12.145881587230525, 9.661056403311065, 4.771120634349007, 5.399537732963626, 5.047092624110664, 5.289498272680586, 2.5771434714646144, 1.8265428467895808, 1.0633981336486396, 0.0, 13.249284693311735, 11.697379470135033, 9.132714233947903, 7.7314304143938415, 10.578996545361171, 7.06592967375493, 5.399537732963626, 3.4079433102492906, 4.830528201655532, 4.048627195743509, 2.2630275723217905, 1.1996760913804698, 0.0), # 7
(13.655120685173882, 13.731643021493262, 11.774049942681595, 12.638616943543553, 10.054898114057503, 4.964679611665085, 5.618375308208878, 5.251358105609044, 5.504032819675924, 2.681577062534149, 1.9006577437167966, 1.1065197938527056, 0.0, 13.786904616155851, 12.171717732379758, 9.503288718583983, 8.044731187602444, 11.008065639351848, 7.351901347852662, 5.618375308208878, 3.5461997226179176, 5.027449057028751, 4.212872314514518, 2.3548099885363194, 1.248331183772115, 0.0), # 8
(14.174719249761154, 14.247811216240837, 12.216636371587056, 13.11382245333668, 10.43502985284949, 5.151351190034158, 5.829429255133608, 5.4483537183862225, 5.710933456399605, 2.782296555520474, 1.9721360927795035, 1.1481073799199473, 0.0, 14.305396128851092, 12.629181179119417, 9.860680463897518, 8.34688966656142, 11.42186691279921, 7.627695205740712, 5.829429255133608, 3.679536564310113, 5.217514926424745, 4.371274151112227, 2.4433272743174115, 1.2952555651128035, 0.0), # 9
(14.673746396404677, 14.7425631342355, 12.640857983908687, 13.569308793940438, 10.799721411165962, 5.330275523551238, 6.031726967302519, 5.637172269581408, 5.909247177123128, 2.878837746026722, 2.0406485568220725, 1.187969286786593, 0.0, 14.802370723856898, 13.06766215465252, 10.20324278411036, 8.636513238080164, 11.818494354246257, 7.892041177413972, 6.031726967302519, 3.8073396596794558, 5.399860705582981, 4.52310293131348, 2.5281715967817378, 1.3402330122032275, 0.0), # 10
(15.149870484116411, 15.213520320284891, 13.044675615229824, 14.002886642685386, 11.14724258048584, 5.500592766311337, 6.224295838280325, 5.816906566333811, 6.098020976117995, 2.970736429656024, 2.105865798688875, 1.2259139093888718, 0.0, 15.2754398936327, 13.485053003277587, 10.529328993444373, 8.912209288968072, 12.19604195223599, 8.143669192867335, 6.224295838280325, 3.9289948330795266, 5.57362129024292, 4.66762888089513, 2.6089351230459648, 1.3830473018440812, 0.0), # 11
(15.600759871908263, 15.6583043191966, 13.42605010113381, 14.412366676902078, 11.475863152288053, 5.6614430724094635, 6.406163261631731, 5.986649415782641, 6.276301847655707, 3.0575284020115086, 2.1674584812242808, 1.2617496426630104, 0.0, 15.722215130637963, 13.879246069293112, 10.837292406121403, 9.172585206034523, 12.552603695311413, 8.381309182095698, 6.406163261631731, 4.043887908863902, 5.737931576144026, 4.804122225634027, 2.6852100202267626, 1.4234822108360548, 0.0), # 12
(16.02408291879218, 16.074536675778273, 13.782942277203993, 14.795559573921057, 11.783852918051522, 5.8119665959406355, 6.576356630921451, 6.145493625067111, 6.443136786007759, 3.138749458696308, 2.225097267272661, 1.2952848815452382, 0.0, 16.140307927332124, 14.248133696997618, 11.125486336363304, 9.416248376088921, 12.886273572015519, 8.603691075093955, 6.576356630921451, 4.151404711386168, 5.891926459025761, 4.93185319130702, 2.756588455440799, 1.4613215159798432, 0.0), # 13
(16.41750798378009, 16.45983893483752, 14.113312979023721, 15.150276011072872, 12.069481669255186, 5.9513034909998614, 6.733903339714195, 6.292532001326435, 6.597572785445653, 3.2139353953135514, 2.2784528196783858, 1.3263280209717843, 0.0, 16.527329776174614, 14.589608230689624, 11.392264098391927, 9.641806185940652, 13.195145570891306, 8.80954480185701, 6.733903339714195, 4.250931064999901, 6.034740834627593, 5.050092003690958, 2.8226625958047444, 1.4963489940761385, 0.0), # 14
(16.77870342588394, 16.811832641181958, 14.415123042176313, 15.474326665688082, 12.33101919737797, 6.078593911682158, 6.877830781574663, 6.426857351699818, 6.738656840240891, 3.2826220074663714, 2.3271958012858263, 1.3546874558788757, 0.0, 16.880892169624886, 14.90156201466763, 11.63597900642913, 9.847866022399112, 13.477313680481782, 8.997600292379746, 6.877830781574663, 4.341852794058684, 6.165509598688985, 5.158108888562695, 2.883024608435263, 1.5283484219256327, 0.0), # 15
(17.10533760411564, 17.128139339619217, 14.686333302245139, 15.765522215097217, 12.566735293898798, 6.192978012082533, 7.007166350067579, 6.547562483326471, 6.865435944664972, 3.344345090757899, 2.370996874939354, 1.380171581202741, 0.0, 17.198606600142384, 15.181887393230149, 11.85498437469677, 10.033035272273695, 13.730871889329944, 9.16658747665706, 7.007166350067579, 4.423555722916095, 6.283367646949399, 5.255174071699074, 2.9372666604490276, 1.55710357632902, 0.0), # 16
(17.395078877487137, 17.406380574956913, 14.92490459481353, 16.021673336630855, 12.774899750296605, 6.2935959462960005, 7.12093743875764, 6.653740203345614, 6.976957092989391, 3.398640440791261, 2.40952670348334, 1.4025887918796085, 0.0, 17.47808456018655, 15.428476710675692, 12.047633517416699, 10.195921322373781, 13.953914185978782, 9.31523628468386, 7.12093743875764, 4.4954256759257145, 6.387449875148302, 5.340557778876952, 2.984980918962706, 1.5823982340869922, 0.0), # 17
(17.645595605010367, 17.644177892002652, 15.12879775546482, 16.24059070761953, 12.953782358050306, 6.379587868417579, 7.2181714412095666, 6.744483318896446, 7.072267279485658, 3.4450438531695924, 2.4424559497621527, 1.4217474828457075, 0.0, 17.716937542216822, 15.63922231130278, 12.212279748810763, 10.335131559508774, 14.144534558971316, 9.442276646455024, 7.2181714412095666, 4.556848477441128, 6.476891179025153, 5.413530235873177, 3.0257595510929645, 1.6040161720002415, 0.0), # 18
(17.85455614569726, 17.83915283556408, 15.29597361978237, 16.420085005393776, 13.10165290863884, 6.450093932542269, 7.297895750988055, 6.818884637118185, 7.150413498425267, 3.4830911234960236, 2.4694552766201636, 1.4374560490372645, 0.0, 17.912777038692653, 15.812016539409907, 12.347276383100818, 10.449273370488068, 14.300826996850533, 9.546438491965459, 7.297895750988055, 4.607209951815906, 6.55082645431942, 5.473361668464593, 3.059194723956474, 1.621741166869462, 0.0), # 19
(18.01962885855975, 17.988926950448786, 15.424393023349506, 16.55796690728418, 13.216781193541133, 6.504254292765094, 7.359137761657826, 6.876036965150038, 7.210442744079718, 3.5123180473736824, 2.490195346901745, 1.4495228853905089, 0.0, 18.063214542073485, 15.944751739295596, 12.450976734508725, 10.536954142121044, 14.420885488159437, 9.626451751210054, 7.359137761657826, 4.645895923403639, 6.608390596770566, 5.51932230242806, 3.084878604669901, 1.6353569954953444, 0.0), # 20
(18.13848210260976, 18.09112178146442, 15.51201680174958, 16.652047090621256, 13.297437004236105, 6.541209103181062, 7.400924866783583, 6.915033110131218, 7.251402010720512, 3.532260420405701, 2.5043468234512685, 1.4577563868416692, 0.0, 18.165861544818743, 16.03532025525836, 12.52173411725634, 10.5967812612171, 14.502804021441024, 9.681046354183705, 7.400924866783583, 4.672292216557902, 6.648718502118053, 5.550682363540419, 3.1024033603499164, 1.644647434678584, 0.0), # 21
(18.20878423685924, 18.143358873418588, 15.55680579056593, 16.70013623273558, 13.341890132202689, 6.560098517885186, 7.422284459930039, 6.934965879200936, 7.27233829261915, 3.54245403819521, 2.5115803691131027, 1.4619649483269737, 0.0, 18.218329539387888, 16.08161443159671, 12.557901845565512, 10.627362114585626, 14.5446765852383, 9.70895223088131, 7.422284459930039, 4.6857846556322755, 6.6709450661013445, 5.5667120775785275, 3.111361158113186, 1.649396261219872, 0.0), # 22
(18.23470805401675, 18.14954393004115, 15.562384773662554, 16.706156597222225, 13.353278467239116, 6.5625, 7.424823602033405, 6.937120370370371, 7.274955740740741, 3.543656522633746, 2.512487411148522, 1.4624846364883404, 0.0, 18.225, 16.08733100137174, 12.56243705574261, 10.630969567901236, 14.549911481481482, 9.71196851851852, 7.424823602033405, 4.6875, 6.676639233619558, 5.568718865740743, 3.1124769547325113, 1.6499585390946503, 0.0), # 23
(18.253822343461476, 18.145936111111112, 15.561472222222221, 16.705415625000004, 13.359729136337823, 6.5625, 7.42342843137255, 6.934125, 7.274604999999999, 3.5429177777777783, 2.5123873737373743, 1.462362962962963, 0.0, 18.225, 16.085992592592593, 12.561936868686871, 10.628753333333332, 14.549209999999999, 9.707775, 7.42342843137255, 4.6875, 6.679864568168911, 5.568471875000002, 3.1122944444444447, 1.649630555555556, 0.0), # 24
(18.272533014380844, 18.138824588477366, 15.559670781893006, 16.70394965277778, 13.366037934713404, 6.5625, 7.420679012345679, 6.928240740740742, 7.273912037037037, 3.541463477366256, 2.512189019827909, 1.4621227709190674, 0.0, 18.225, 16.08335048010974, 12.560945099139545, 10.624390432098766, 14.547824074074073, 9.69953703703704, 7.420679012345679, 4.6875, 6.683018967356702, 5.567983217592594, 3.1119341563786014, 1.6489840534979427, 0.0), # 25
(18.290838634286462, 18.128318004115226, 15.557005144032923, 16.70177534722222, 13.372204642105325, 6.5625, 7.416618046477849, 6.919578703703704, 7.27288574074074, 3.539317818930042, 2.511894145155257, 1.4617673525377233, 0.0, 18.225, 16.079440877914955, 12.559470725776283, 10.617953456790124, 14.54577148148148, 9.687410185185186, 7.416618046477849, 4.6875, 6.686102321052663, 5.567258449074075, 3.111401028806585, 1.648028909465021, 0.0), # 26
(18.308737770689945, 18.114524999999997, 15.553500000000001, 16.698909375, 13.378229038253057, 6.5625, 7.411288235294118, 6.908250000000002, 7.271535, 3.5365050000000005, 2.5115045454545455, 1.4613000000000003, 0.0, 18.225, 16.0743, 12.557522727272728, 10.609514999999998, 14.54307, 9.671550000000002, 7.411288235294118, 4.6875, 6.689114519126528, 5.566303125, 3.1107000000000005, 1.646775, 0.0), # 27
(18.3262289911029, 18.097554218106993, 15.549180041152265, 16.695368402777778, 13.384110902896083, 6.5625, 7.404732280319536, 6.894365740740742, 7.269868703703704, 3.533049218106997, 2.5110220164609056, 1.4607240054869688, 0.0, 18.225, 16.067964060356655, 12.555110082304529, 10.599147654320989, 14.539737407407408, 9.652112037037039, 7.404732280319536, 4.6875, 6.6920554514480415, 5.565122800925927, 3.1098360082304533, 1.6452322016460905, 0.0), # 28
(18.34331086303695, 18.077514300411522, 15.54406995884774, 16.69116909722222, 13.389850015773863, 6.5625, 7.396992883079159, 6.8780370370370365, 7.267895740740741, 3.5289746707818943, 2.510448353909465, 1.4600426611796984, 0.0, 18.225, 16.06046927297668, 12.552241769547326, 10.58692401234568, 14.535791481481482, 9.629251851851851, 7.396992883079159, 4.6875, 6.694925007886932, 5.563723032407409, 3.1088139917695483, 1.6434103909465023, 0.0), # 29
(18.359981954003697, 18.054513888888888, 15.538194444444445, 16.686328125000003, 13.395446156625884, 6.5625, 7.388112745098039, 6.859375, 7.265625, 3.5243055555555567, 2.509785353535354, 1.4592592592592593, 0.0, 18.225, 16.05185185185185, 12.548926767676768, 10.572916666666668, 14.53125, 9.603125, 7.388112745098039, 4.6875, 6.697723078312942, 5.562109375000001, 3.107638888888889, 1.6413194444444446, 0.0), # 30
(18.376240831514746, 18.028661625514406, 15.531578189300415, 16.680862152777777, 13.400899105191609, 6.5625, 7.378134567901236, 6.838490740740741, 7.26306537037037, 3.5190660699588485, 2.5090348110737, 1.458377091906722, 0.0, 18.225, 16.04214801097394, 12.5451740553685, 10.557198209876542, 14.52613074074074, 9.573887037037037, 7.378134567901236, 4.6875, 6.7004495525958045, 5.56028738425926, 3.106315637860083, 1.638969238683128, 0.0), # 31
(18.392086063081717, 18.000066152263376, 15.524245884773661, 16.674787847222223, 13.406208641210513, 6.5625, 7.3671010530137995, 6.815495370370372, 7.260225740740741, 3.5132804115226346, 2.5081985222596335, 1.4573994513031552, 0.0, 18.225, 16.031393964334704, 12.540992611298167, 10.539841234567902, 14.520451481481482, 9.541693518518521, 7.3671010530137995, 4.6875, 6.703104320605257, 5.558262615740742, 3.1048491769547324, 1.6363696502057616, 0.0), # 32
(18.407516216216216, 17.96883611111111, 15.516222222222224, 16.668121874999997, 13.411374544422076, 6.5625, 7.355054901960784, 6.790500000000001, 7.257115, 3.506972777777779, 2.507278282828283, 1.4563296296296298, 0.0, 18.225, 16.019625925925926, 12.536391414141413, 10.520918333333334, 14.51423, 9.5067, 7.355054901960784, 4.6875, 6.705687272211038, 5.5560406250000005, 3.103244444444445, 1.6335305555555555, 0.0), # 33
(18.422529858429858, 17.93508014403292, 15.507531893004115, 16.660880902777777, 13.41639659456576, 6.5625, 7.342038816267248, 6.7636157407407405, 7.253742037037037, 3.500167366255145, 2.5062758885147773, 1.4551709190672155, 0.0, 18.225, 16.006880109739367, 12.531379442573886, 10.500502098765432, 14.507484074074075, 9.469062037037038, 7.342038816267248, 4.6875, 6.70819829728288, 5.553626967592593, 3.1015063786008232, 1.6304618312757202, 0.0), # 34
(18.437125557234253, 17.898906893004114, 15.49819958847737, 16.65308159722222, 13.421274571381044, 6.5625, 7.328095497458243, 6.734953703703703, 7.250115740740741, 3.4928883744855974, 2.5051931350542462, 1.4539266117969825, 0.0, 18.225, 15.993192729766804, 12.52596567527123, 10.47866512345679, 14.500231481481482, 9.428935185185185, 7.328095497458243, 4.6875, 6.710637285690522, 5.551027199074074, 3.099639917695474, 1.627173353909465, 0.0), # 35
(18.45130188014101, 17.860424999999996, 15.488249999999999, 16.644740624999997, 13.426008254607403, 6.5625, 7.313267647058823, 6.704625000000001, 7.246244999999999, 3.485160000000001, 2.504031818181818, 1.4526000000000006, 0.0, 18.225, 15.978600000000004, 12.520159090909091, 10.45548, 14.492489999999998, 9.386475, 7.313267647058823, 4.6875, 6.7130041273037016, 5.548246875, 3.0976500000000002, 1.623675, 0.0), # 36
(18.46505739466174, 17.819743106995883, 15.477707818930043, 16.63587465277778, 13.430597423984304, 6.5625, 7.2975979665940445, 6.672740740740741, 7.242138703703703, 3.477006440329219, 2.502793733632623, 1.451194375857339, 0.0, 18.225, 15.963138134430727, 12.513968668163116, 10.431019320987655, 14.484277407407406, 9.341837037037038, 7.2975979665940445, 4.6875, 6.715298711992152, 5.545291550925927, 3.0955415637860084, 1.619976646090535, 0.0), # 37
(18.47839066830806, 17.776969855967078, 15.466597736625513, 16.626500347222226, 13.435041859251228, 6.5625, 7.281129157588961, 6.639412037037038, 7.237805740740741, 3.4684518930041164, 2.5014806771417883, 1.4497130315500688, 0.0, 18.225, 15.946843347050754, 12.507403385708942, 10.405355679012347, 14.475611481481481, 9.295176851851854, 7.281129157588961, 4.6875, 6.717520929625614, 5.542166782407409, 3.0933195473251027, 1.61608816872428, 0.0), # 38
(18.491300268591576, 17.732213888888886, 15.454944444444445, 16.616634375, 13.439341340147644, 6.5625, 7.2639039215686285, 6.60475, 7.233255000000001, 3.4595205555555566, 2.500094444444445, 1.4481592592592594, 0.0, 18.225, 15.92975185185185, 12.500472222222223, 10.378561666666666, 14.466510000000001, 9.24665, 7.2639039215686285, 4.6875, 6.719670670073822, 5.538878125000001, 3.0909888888888895, 1.6120194444444444, 0.0), # 39
(18.503784763023894, 17.685583847736623, 15.442772633744857, 16.60629340277778, 13.443495646413021, 6.5625, 7.245964960058098, 6.568865740740742, 7.228495370370371, 3.4502366255144046, 2.49863683127572, 1.4465363511659812, 0.0, 18.225, 15.911899862825791, 12.4931841563786, 10.350709876543212, 14.456990740740743, 9.196412037037039, 7.245964960058098, 4.6875, 6.721747823206511, 5.535431134259261, 3.0885545267489714, 1.6077803497942387, 0.0), # 40
(18.51584271911663, 17.637188374485596, 15.430106995884776, 16.595494097222222, 13.447504557786843, 6.5625, 7.2273549745824255, 6.531870370370371, 7.22353574074074, 3.4406243004115233, 2.4971096333707448, 1.4448475994513033, 0.0, 18.225, 15.893323593964332, 12.485548166853723, 10.321872901234567, 14.44707148148148, 9.14461851851852, 7.2273549745824255, 4.6875, 6.723752278893421, 5.531831365740742, 3.0860213991769556, 1.6033807613168727, 0.0), # 41
(18.527472704381402, 17.587136111111114, 15.416972222222224, 16.584253125000004, 13.45136785400857, 6.5625, 7.208116666666666, 6.493875, 7.218385000000001, 3.4307077777777786, 2.4955146464646467, 1.4430962962962963, 0.0, 18.225, 15.874059259259258, 12.477573232323234, 10.292123333333333, 14.436770000000003, 9.091425000000001, 7.208116666666666, 4.6875, 6.725683927004285, 5.5280843750000015, 3.083394444444445, 1.598830555555556, 0.0), # 42
(18.538673286329807, 17.53553569958848, 15.403393004115227, 16.57258715277778, 13.455085314817683, 6.5625, 7.188292737835875, 6.454990740740741, 7.213052037037036, 3.420511255144034, 2.4938536662925554, 1.4412857338820306, 0.0, 18.225, 15.854143072702334, 12.469268331462775, 10.2615337654321, 14.426104074074072, 9.036987037037038, 7.188292737835875, 4.6875, 6.727542657408842, 5.524195717592594, 3.080678600823046, 1.5941396090534983, 0.0), # 43
(18.54944303247347, 17.482495781893004, 15.389394032921814, 16.560512847222224, 13.458656719953654, 6.5625, 7.1679258896151055, 6.415328703703706, 7.2075457407407395, 3.4100589300411532, 2.4921284885895996, 1.439419204389575, 0.0, 18.225, 15.833611248285322, 12.460642442947998, 10.230176790123457, 14.415091481481479, 8.981460185185188, 7.1679258896151055, 4.6875, 6.729328359976827, 5.520170949074076, 3.077878806584363, 1.5893177983539097, 0.0), # 44
(18.55978051032399, 17.428124999999998, 15.375, 16.548046875, 13.462081849155954, 6.5625, 7.147058823529412, 6.375000000000001, 7.201874999999999, 3.3993750000000014, 2.4903409090909094, 1.4375000000000002, 0.0, 18.225, 15.8125, 12.451704545454545, 10.198125000000001, 14.403749999999999, 8.925, 7.147058823529412, 4.6875, 6.731040924577977, 5.516015625000001, 3.075, 1.584375, 0.0), # 45
(18.569684287392985, 17.372531995884774, 15.360235596707819, 16.535205902777776, 13.465360482164058, 6.5625, 7.125734241103849, 6.334115740740741, 7.196048703703703, 3.388483662551441, 2.4884927235316128, 1.4355314128943761, 0.0, 18.225, 15.790845541838134, 12.442463617658062, 10.16545098765432, 14.392097407407405, 8.86776203703704, 7.125734241103849, 4.6875, 6.732680241082029, 5.511735300925927, 3.072047119341564, 1.5793210905349795, 0.0), # 46
(18.579152931192063, 17.31582541152263, 15.345125514403293, 16.522006597222223, 13.46849239871744, 6.5625, 7.103994843863473, 6.292787037037037, 7.190075740740742, 3.3774091152263384, 2.486585727646839, 1.4335167352537728, 0.0, 18.225, 15.768684087791497, 12.432928638234193, 10.132227345679013, 14.380151481481484, 8.809901851851851, 7.103994843863473, 4.6875, 6.73424619935872, 5.507335532407408, 3.069025102880659, 1.5741659465020577, 0.0), # 47
(18.588185009232834, 17.258113888888886, 15.329694444444444, 16.508465625, 13.471477378555573, 6.5625, 7.081883333333334, 6.251125000000001, 7.183965000000001, 3.3661755555555564, 2.4846217171717173, 1.4314592592592594, 0.0, 18.225, 15.746051851851853, 12.423108585858586, 10.098526666666666, 14.367930000000001, 8.751575, 7.081883333333334, 4.6875, 6.735738689277786, 5.502821875000001, 3.065938888888889, 1.5689194444444445, 0.0), # 48
(18.596779089026917, 17.199506069958847, 15.313967078189304, 16.49459965277778, 13.47431520141793, 6.5625, 7.059442411038489, 6.209240740740741, 7.17772537037037, 3.35480718106996, 2.4826024878413775, 1.4293622770919072, 0.0, 18.225, 15.722985048010976, 12.413012439206886, 10.064421543209878, 14.35545074074074, 8.692937037037037, 7.059442411038489, 4.6875, 6.737157600708965, 5.498199884259261, 3.0627934156378607, 1.5635914609053498, 0.0), # 49
(18.604933738085908, 17.140110596707824, 15.297968106995889, 16.480425347222223, 13.477005647043978, 6.5625, 7.0367147785039945, 6.16724537037037, 7.1713657407407405, 3.3433281893004123, 2.480529835390947, 1.427229080932785, 0.0, 18.225, 15.699519890260632, 12.402649176954732, 10.029984567901234, 14.342731481481481, 8.634143518518519, 7.0367147785039945, 4.6875, 6.738502823521989, 5.4934751157407415, 3.059593621399178, 1.5581918724279842, 0.0), # 50
(18.61264752392144, 17.080036111111113, 15.281722222222223, 16.465959375, 13.479548495173198, 6.5625, 7.013743137254902, 6.12525, 7.164895000000001, 3.3317627777777785, 2.478405555555556, 1.4250629629629634, 0.0, 18.225, 15.675692592592595, 12.392027777777779, 9.995288333333333, 14.329790000000003, 8.57535, 7.013743137254902, 4.6875, 6.739774247586599, 5.488653125000001, 3.0563444444444445, 1.552730555555556, 0.0), # 51
(18.619919014045102, 17.019391255144033, 15.26525411522634, 16.45121840277778, 13.481943525545056, 6.5625, 6.9905701888162675, 6.08336574074074, 7.158322037037037, 3.320135144032923, 2.4762314440703332, 1.4228672153635122, 0.0, 18.225, 15.651539368998632, 12.381157220351666, 9.960405432098767, 14.316644074074073, 8.516712037037037, 6.9905701888162675, 4.6875, 6.740971762772528, 5.483739467592594, 3.0530508230452678, 1.547217386831276, 0.0), # 52
(18.626746775968517, 16.958284670781893, 15.248588477366258, 16.43621909722222, 13.484190517899034, 6.5625, 6.967238634713145, 6.041703703703704, 7.1516557407407415, 3.3084694855967087, 2.4740092966704084, 1.4206451303155008, 0.0, 18.225, 15.627096433470507, 12.37004648335204, 9.925408456790123, 14.303311481481483, 8.458385185185186, 6.967238634713145, 4.6875, 6.742095258949517, 5.478739699074075, 3.049717695473252, 1.5416622427983542, 0.0), # 53
(18.63312937720329, 16.896825000000003, 15.23175, 16.420978125, 13.486289251974604, 6.5625, 6.943791176470588, 6.000374999999999, 7.144905, 3.296790000000001, 2.4717409090909093, 1.4184000000000003, 0.0, 18.225, 15.602400000000001, 12.358704545454545, 9.89037, 14.28981, 8.400525, 6.943791176470588, 4.6875, 6.743144625987302, 5.473659375000001, 3.04635, 1.5360750000000005, 0.0), # 54
(18.63906538526104, 16.835120884773662, 15.2147633744856, 16.405512152777778, 13.488239507511228, 6.5625, 6.9202705156136535, 5.9594907407407405, 7.1380787037037035, 3.2851208847736637, 2.4694280770669663, 1.4161351165980798, 0.0, 18.225, 15.577486282578874, 12.34714038533483, 9.855362654320988, 14.276157407407407, 8.343287037037037, 6.9202705156136535, 4.6875, 6.744119753755614, 5.468504050925927, 3.04295267489712, 1.530465534979424, 0.0), # 55
(18.64455336765337, 16.77328096707819, 15.197653292181073, 16.389837847222225, 13.49004106424839, 6.5625, 6.896719353667393, 5.9191620370370375, 7.131185740740741, 3.2734863374485608, 2.467072596333708, 1.4138537722908093, 0.0, 18.225, 15.5523914951989, 12.335362981668538, 9.82045901234568, 14.262371481481482, 8.286826851851853, 6.896719353667393, 4.6875, 6.745020532124195, 5.463279282407409, 3.0395306584362145, 1.5248437242798356, 0.0), # 56
(18.649591891891887, 16.711413888888888, 15.180444444444445, 16.373971875, 13.49169370192556, 6.5625, 6.873180392156863, 5.879500000000001, 7.124235, 3.2619105555555565, 2.4646762626262633, 1.4115592592592594, 0.0, 18.225, 15.527151851851851, 12.323381313131314, 9.785731666666667, 14.24847, 8.231300000000001, 6.873180392156863, 4.6875, 6.74584685096278, 5.457990625000001, 3.0360888888888895, 1.5192194444444447, 0.0), # 57
(18.654179525488225, 16.64962829218107, 15.163161522633745, 16.357930902777774, 13.49319720028221, 6.5625, 6.849696332607118, 5.840615740740741, 7.11723537037037, 3.2504177366255154, 2.4622408716797612, 1.4092548696844995, 0.0, 18.225, 15.501803566529492, 12.311204358398806, 9.751253209876543, 14.23447074074074, 8.176862037037038, 6.849696332607118, 4.6875, 6.746598600141105, 5.4526436342592595, 3.032632304526749, 1.5136025720164612, 0.0), # 58
(18.658314835953966, 16.58803281893004, 15.145829218106996, 16.34173159722222, 13.494551339057814, 6.5625, 6.82630987654321, 5.802620370370371, 7.110195740740741, 3.2390320781893016, 2.4597682192293306, 1.4069438957475995, 0.0, 18.225, 15.476382853223592, 12.298841096146651, 9.717096234567903, 14.220391481481482, 8.12366851851852, 6.82630987654321, 4.6875, 6.747275669528907, 5.447243865740742, 3.0291658436213997, 1.5080029835390947, 0.0), # 59
(18.661996390800738, 16.526736111111113, 15.128472222222221, 16.325390625, 13.495755897991843, 6.5625, 6.803063725490196, 5.765625, 7.103125, 3.2277777777777787, 2.4572601010101014, 1.40462962962963, 0.0, 18.225, 15.450925925925928, 12.286300505050505, 9.683333333333334, 14.20625, 8.071875, 6.803063725490196, 4.6875, 6.747877948995922, 5.441796875000001, 3.0256944444444445, 1.502430555555556, 0.0), # 60
(18.665222757540146, 16.465846810699592, 15.111115226337452, 16.308924652777776, 13.496810656823772, 6.5625, 6.780000580973129, 5.729740740740741, 7.0960320370370376, 3.216679032921812, 2.4547183127572016, 1.40231536351166, 0.0, 18.225, 15.425468998628258, 12.273591563786008, 9.650037098765434, 14.192064074074075, 8.021637037037038, 6.780000580973129, 4.6875, 6.748405328411886, 5.436308217592593, 3.0222230452674905, 1.496895164609054, 0.0), # 61
(18.66799250368381, 16.40547355967078, 15.093782921810703, 16.292350347222225, 13.497715395293081, 6.5625, 6.757163144517066, 5.695078703703705, 7.088925740740741, 3.2057600411522644, 2.4521446502057613, 1.4000043895747603, 0.0, 18.225, 15.40004828532236, 12.260723251028807, 9.61728012345679, 14.177851481481483, 7.973110185185186, 6.757163144517066, 4.6875, 6.748857697646541, 5.430783449074076, 3.018756584362141, 1.4914066872427985, 0.0), # 62
(18.670304196743327, 16.345724999999998, 15.0765, 16.275684375, 13.498469893139227, 6.5625, 6.734594117647059, 5.6617500000000005, 7.081815, 3.195045000000001, 2.4495409090909095, 1.3977000000000002, 0.0, 18.225, 15.3747, 12.247704545454548, 9.585135, 14.16363, 7.926450000000001, 6.734594117647059, 4.6875, 6.749234946569613, 5.425228125000001, 3.0153000000000003, 1.485975, 0.0), # 63
(18.672156404230314, 16.286709773662555, 15.059291152263373, 16.258943402777778, 13.499073930101698, 6.5625, 6.712336201888163, 5.629865740740741, 7.0747087037037035, 3.1845581069958855, 2.446908885147774, 1.3954054869684502, 0.0, 18.225, 15.34946035665295, 12.23454442573887, 9.553674320987653, 14.149417407407407, 7.881812037037038, 6.712336201888163, 4.6875, 6.749536965050849, 5.419647800925927, 3.011858230452675, 1.4806099794238687, 0.0), # 64
(18.67354769365639, 16.228536522633743, 15.042181069958849, 16.242144097222223, 13.49952728591996, 6.5625, 6.690432098765433, 5.599537037037037, 7.067615740740742, 3.1743235596707824, 2.4442503741114856, 1.3931241426611796, 0.0, 18.225, 15.324365569272972, 12.221251870557428, 9.522970679012344, 14.135231481481483, 7.839351851851852, 6.690432098765433, 4.6875, 6.74976364295998, 5.4140480324074085, 3.00843621399177, 1.4753215020576131, 0.0), # 65
(18.674476632533153, 16.17131388888889, 15.025194444444447, 16.225303125, 13.499829740333489, 6.5625, 6.668924509803921, 5.570875000000001, 7.060545000000001, 3.1643655555555563, 2.4415671717171716, 1.3908592592592597, 0.0, 18.225, 15.299451851851854, 12.207835858585858, 9.493096666666666, 14.121090000000002, 7.799225000000001, 6.668924509803921, 4.6875, 6.749914870166744, 5.408434375000001, 3.0050388888888895, 1.4701194444444448, 0.0), # 66
(18.674941788372227, 16.11515051440329, 15.00835596707819, 16.208437152777776, 13.499981073081756, 6.5625, 6.647856136528685, 5.543990740740742, 7.05350537037037, 3.154708292181071, 2.438861073699963, 1.3886141289437586, 0.0, 18.225, 15.274755418381341, 12.194305368499816, 9.464124876543211, 14.10701074074074, 7.761587037037039, 6.647856136528685, 4.6875, 6.749990536540878, 5.40281238425926, 3.001671193415638, 1.465013683127572, 0.0), # 67
(18.674624906065485, 16.059860254878533, 14.99160892489712, 16.19141634963768, 13.499853546356814, 6.56237821216278, 6.627163675346682, 5.518757887517148, 7.046452709190673, 3.145329198741226, 2.436085796562113, 1.3863795032849615, 0.0, 18.22477527006173, 15.250174536134574, 12.180428982810565, 9.435987596223676, 14.092905418381346, 7.726261042524007, 6.627163675346682, 4.6874130086877, 6.749926773178407, 5.3971387832125615, 2.998321784979424, 1.4599872958980487, 0.0), # 68
(18.671655072463768, 16.00375510752688, 14.974482638888889, 16.173382744565217, 13.498692810457515, 6.561415432098766, 6.606241363211952, 5.493824074074074, 7.039078703703703, 3.1359628758169937, 2.4329588516746417, 1.3840828460038987, 0.0, 18.222994791666668, 15.224911306042884, 12.164794258373206, 9.407888627450978, 14.078157407407407, 7.6913537037037045, 6.606241363211952, 4.686725308641976, 6.749346405228757, 5.391127581521739, 2.994896527777778, 1.4548868279569895, 0.0), # 69
(18.665794417606012, 15.946577558741536, 14.956902649176953, 16.154217617753623, 13.496399176954732, 6.559519318701418, 6.5849941211052325, 5.468964334705077, 7.031341735253773, 3.1265637860082314, 2.429444665957824, 1.3817134141939216, 0.0, 18.219478202160495, 15.198847556133135, 12.147223329789119, 9.379691358024692, 14.062683470507546, 7.656550068587107, 6.5849941211052325, 4.685370941929584, 6.748199588477366, 5.384739205917875, 2.9913805298353906, 1.4496888689765035, 0.0), # 70
(18.657125389157272, 15.888361778176023, 14.938875128600824, 16.133949230072467, 13.493001694504963, 6.556720598994056, 6.56343149358509, 5.444186899862826, 7.023253326474624, 3.1171321617041885, 2.425556211235159, 1.3792729405819073, 0.0, 18.21427179783951, 15.172002346400978, 12.127781056175793, 9.351396485112563, 14.046506652949247, 7.621861659807958, 6.56343149358509, 4.683371856424325, 6.746500847252482, 5.377983076690823, 2.987775025720165, 1.4443965252887296, 0.0), # 71
(18.64573043478261, 15.82914193548387, 14.92040625, 16.112605842391304, 13.488529411764706, 6.553050000000001, 6.541563025210084, 5.4195, 7.014825, 3.1076682352941183, 2.421306459330144, 1.376763157894737, 0.0, 18.207421875, 15.144394736842104, 12.10653229665072, 9.323004705882353, 14.02965, 7.587300000000001, 6.541563025210084, 4.680750000000001, 6.744264705882353, 5.370868614130436, 2.98408125, 1.4390129032258066, 0.0), # 72
(18.631692002147076, 15.768952200318596, 14.90150218621399, 16.09021571557971, 13.483011377390461, 6.548538248742569, 6.519398260538782, 5.394911865569274, 7.006068278463649, 3.0981722391672726, 2.4167083820662767, 1.374185798859288, 0.0, 18.198974729938275, 15.116043787452165, 12.083541910331384, 9.294516717501814, 14.012136556927299, 7.552876611796983, 6.519398260538782, 4.677527320530407, 6.741505688695231, 5.363405238526571, 2.9803004372427986, 1.4335411091198726, 0.0), # 73
(18.61509253891573, 15.707826742333731, 14.882169110082302, 16.06680711050725, 13.47647664003873, 6.543216072245086, 6.49694674412975, 5.37043072702332, 6.996994684499314, 3.0886444057129037, 2.411774951267057, 1.3715425962024403, 0.0, 18.18897665895062, 15.086968558226841, 12.058874756335285, 9.26593321713871, 13.993989368998628, 7.518603017832648, 6.49694674412975, 4.673725765889347, 6.738238320019365, 5.355602370169083, 2.976433822016461, 1.4279842493030668, 0.0), # 74
(18.59601449275362, 15.645799731182793, 14.862413194444443, 16.04240828804348, 13.468954248366014, 6.537114197530865, 6.47421802054155, 5.346064814814815, 6.98761574074074, 3.0790849673202625, 2.406519138755981, 1.3688352826510723, 0.0, 18.177473958333334, 15.057188109161793, 12.032595693779903, 9.237254901960785, 13.97523148148148, 7.484490740740742, 6.47421802054155, 4.669367283950618, 6.734477124183007, 5.347469429347827, 2.9724826388888888, 1.422345430107527, 0.0), # 75
(18.57454031132582, 15.582905336519316, 14.842240612139918, 16.01704750905797, 13.460473251028805, 6.53026335162323, 6.451221634332746, 5.321822359396434, 6.977942969821673, 3.069494156378602, 2.400953916356548, 1.3660655909320625, 0.0, 18.164512924382716, 15.026721500252684, 12.004769581782737, 9.208482469135802, 13.955885939643347, 7.450551303155008, 6.451221634332746, 4.664473822588021, 6.730236625514403, 5.339015836352658, 2.9684481224279837, 1.4166277578653925, 0.0), # 76
(18.55075244229737, 15.519177727996816, 14.821657536008228, 15.99075303442029, 13.451062696683609, 6.522694261545496, 6.4279671300619015, 5.2977115912208514, 6.967987894375857, 3.059872205277174, 2.3950922558922563, 1.3632352537722912, 0.0, 18.150139853395064, 14.9955877914952, 11.975461279461282, 9.179616615831518, 13.935975788751714, 7.416796227709193, 6.4279671300619015, 4.659067329675354, 6.725531348341804, 5.330251011473431, 2.964331507201646, 1.4108343389088016, 0.0), # 77
(18.524733333333334, 15.45465107526882, 14.80067013888889, 15.963553124999999, 13.440751633986928, 6.514437654320987, 6.404464052287582, 5.273740740740742, 6.957762037037036, 3.0502193464052296, 2.388947129186603, 1.3603460038986357, 0.0, 18.134401041666667, 14.963806042884991, 11.944735645933015, 9.150658039215687, 13.915524074074073, 7.383237037037039, 6.404464052287582, 4.653169753086419, 6.720375816993464, 5.3211843750000005, 2.960134027777778, 1.404968279569893, 0.0), # 78
(18.496565432098766, 15.389359547988851, 14.779284593621398, 15.935476041666668, 13.429569111595256, 6.505524256973022, 6.380721945568351, 5.249918038408779, 6.947276920438957, 3.0405358121520223, 2.382531508063087, 1.3573995740379758, 0.0, 18.117342785493825, 14.931395314417731, 11.912657540315433, 9.121607436456063, 13.894553840877913, 7.349885253772292, 6.380721945568351, 4.646803040695016, 6.714784555797628, 5.311825347222223, 2.95585691872428, 1.399032686180805, 0.0), # 79
(18.466331186258724, 15.323337315810434, 14.757507073045266, 15.906550045289855, 13.417544178165095, 6.49598479652492, 6.356750354462773, 5.226251714677641, 6.9365440672153635, 3.030821834906803, 2.375858364345207, 1.3543976969171905, 0.0, 18.09901138117284, 14.898374666089092, 11.879291821726033, 9.092465504720405, 13.873088134430727, 7.316752400548698, 6.356750354462773, 4.639989140374943, 6.708772089082547, 5.302183348429953, 2.9515014146090537, 1.3930306650736761, 0.0), # 80
(18.434113043478263, 15.256618548387095, 14.735343749999998, 15.876803396739131, 13.404705882352939, 6.48585, 6.3325588235294115, 5.202750000000001, 6.925574999999999, 3.0210776470588248, 2.36894066985646, 1.3513421052631582, 0.0, 18.079453124999997, 14.864763157894737, 11.844703349282298, 9.063232941176471, 13.851149999999999, 7.283850000000001, 6.3325588235294115, 4.63275, 6.7023529411764695, 5.292267798913045, 2.94706875, 1.3869653225806453, 0.0), # 81
(18.399993451422436, 15.189237415372364, 14.712800797325105, 15.846264356884058, 13.391083272815298, 6.475150594421583, 6.308156897326833, 5.179421124828533, 6.914381241426612, 3.011303480997338, 2.3617913964203443, 1.3482345318027582, 0.0, 18.058714313271608, 14.830579849830338, 11.80895698210172, 9.03391044299201, 13.828762482853223, 7.2511895747599455, 6.308156897326833, 4.625107567443988, 6.695541636407649, 5.2820881189613536, 2.9425601594650215, 1.3808397650338515, 0.0), # 82
(18.364054857756308, 15.121228086419752, 14.689884387860083, 15.8149611865942, 13.376705398208665, 6.463917306812986, 6.283554120413598, 5.156273319615913, 6.902974314128944, 3.001499569111596, 2.3544235158603586, 1.3450767092628693, 0.0, 18.036841242283952, 14.79584380189156, 11.772117579301792, 9.004498707334786, 13.805948628257887, 7.218782647462278, 6.283554120413598, 4.617083790580704, 6.688352699104333, 5.2716537288647345, 2.9379768775720168, 1.374657098765432, 0.0), # 83
(18.326379710144927, 15.052624731182796, 14.666600694444444, 15.78292214673913, 13.361601307189542, 6.452180864197532, 6.258760037348273, 5.133314814814815, 6.89136574074074, 2.9916661437908503, 2.3468500000000003, 1.3418703703703705, 0.0, 18.013880208333333, 14.760574074074073, 11.73425, 8.97499843137255, 13.78273148148148, 7.186640740740741, 6.258760037348273, 4.608700617283951, 6.680800653594771, 5.260974048913044, 2.933320138888889, 1.3684204301075271, 0.0), # 84
(18.287050456253354, 14.983461519315012, 14.642955889917694, 15.750175498188408, 13.345800048414427, 6.439971993598538, 6.233784192689422, 5.110553840877915, 6.879567043895747, 2.981803437424353, 2.3390838206627684, 1.338617247852141, 0.0, 17.989877507716052, 14.724789726373547, 11.69541910331384, 8.945410312273058, 13.759134087791494, 7.154775377229082, 6.233784192689422, 4.5999799954275264, 6.672900024207213, 5.250058499396137, 2.928591177983539, 1.362132865392274, 0.0), # 85
(18.246149543746643, 14.913772620469931, 14.618956147119343, 15.716749501811597, 13.32933067053982, 6.427321422039324, 6.208636130995608, 5.087998628257887, 6.86758974622771, 2.9719116824013563, 2.3311379496721605, 1.3353190744350594, 0.0, 17.964879436728395, 14.68850981878565, 11.655689748360802, 8.915735047204068, 13.73517949245542, 7.123198079561043, 6.208636130995608, 4.590943872885232, 6.66466533526991, 5.2389165006038665, 2.923791229423869, 1.3557975109518121, 0.0), # 86
(18.203759420289852, 14.843592204301075, 14.594607638888888, 15.68267241847826, 13.312222222222225, 6.41425987654321, 6.1833253968253965, 5.065657407407408, 6.855445370370372, 2.9619911111111112, 2.323025358851675, 1.3319775828460039, 0.0, 17.938932291666667, 14.651753411306041, 11.615126794258373, 8.885973333333332, 13.710890740740744, 7.091920370370371, 6.1833253968253965, 4.581614197530865, 6.656111111111112, 5.227557472826088, 2.9189215277777776, 1.3494174731182798, 0.0), # 87
(18.159962533548043, 14.772954440461966, 14.569916538065844, 15.647972509057974, 13.294503752118132, 6.400818084133517, 6.157861534737352, 5.043538408779149, 6.843145438957476, 2.952041955942871, 2.31475902002481, 1.328594505811855, 0.0, 17.912082368827164, 14.614539563930402, 11.573795100124048, 8.856125867828611, 13.686290877914953, 7.06095377229081, 6.157861534737352, 4.572012917238227, 6.647251876059066, 5.215990836352659, 2.913983307613169, 1.3429958582238153, 0.0), # 88
(18.11484133118626, 14.701893498606132, 14.544889017489714, 15.612678034420288, 13.276204308884047, 6.387026771833563, 6.132254089290037, 5.0216498628257895, 6.830701474622771, 2.942064449285888, 2.3063519050150636, 1.3251715760594904, 0.0, 17.884375964506173, 14.576887336654393, 11.531759525075316, 8.826193347857663, 13.661402949245542, 7.0303098079561055, 6.132254089290037, 4.562161979881116, 6.638102154442024, 5.2042260114734304, 2.908977803497943, 1.3365357726005578, 0.0), # 89
(18.068478260869565, 14.630443548387097, 14.519531250000002, 15.576817255434786, 13.257352941176471, 6.372916666666668, 6.106512605042017, 5.0, 6.818125, 2.9320588235294123, 2.2978169856459334, 1.3217105263157898, 0.0, 17.855859375, 14.538815789473684, 11.489084928229666, 8.796176470588236, 13.63625, 7.0, 6.106512605042017, 4.552083333333334, 6.6286764705882355, 5.192272418478263, 2.903906250000001, 1.3300403225806454, 0.0), # 90
(18.020955770263015, 14.558638759458383, 14.493849408436214, 15.540418432971018, 13.237978697651899, 6.35851849565615, 6.0806466265518555, 4.978597050754459, 6.80542753772291, 2.922025311062697, 2.2891672337409186, 1.3182130893076314, 0.0, 17.826578896604936, 14.500343982383942, 11.445836168704592, 8.76607593318809, 13.61085507544582, 6.9700358710562424, 6.0806466265518555, 4.541798925468679, 6.6189893488259495, 5.180139477657007, 2.898769881687243, 1.3235126144962168, 0.0), # 91
(17.97235630703167, 14.486513301473519, 14.467849665637862, 15.50350982789855, 13.218110626966835, 6.343862985825332, 6.054665698378118, 4.957449245541839, 6.7926206104252405, 2.9119641442749944, 2.2804156211235163, 1.3146809977618947, 0.0, 17.796580825617283, 14.46149097538084, 11.40207810561758, 8.735892432824983, 13.585241220850481, 6.940428943758574, 6.054665698378118, 4.531330704160951, 6.609055313483418, 5.167836609299518, 2.8935699331275724, 1.3169557546794108, 0.0), # 92
(17.92276231884058, 14.414101344086022, 14.441538194444446, 15.46611970108696, 13.197777777777777, 6.328980864197531, 6.0285793650793655, 4.936564814814815, 6.779715740740741, 2.9018755555555558, 2.2715751196172254, 1.3111159844054583, 0.0, 17.76591145833333, 14.422275828460037, 11.357875598086125, 8.705626666666666, 13.559431481481482, 6.911190740740742, 6.0285793650793655, 4.520700617283951, 6.598888888888888, 5.155373233695654, 2.888307638888889, 1.3103728494623659, 0.0), # 93
(17.872256253354806, 14.341437056949422, 14.414921167695475, 15.428276313405796, 13.177009198741224, 6.313902857796068, 6.002397171214165, 4.915951989026064, 6.766724451303155, 2.891759777293634, 2.2626587010455435, 1.3075197819652014, 0.0, 17.734617091049383, 14.382717601617212, 11.313293505227715, 8.675279331880901, 13.53344890260631, 6.88233278463649, 6.002397171214165, 4.509930612711477, 6.588504599370612, 5.1427587711352665, 2.882984233539095, 1.3037670051772203, 0.0), # 94
(17.820920558239397, 14.268554609717246, 14.388004758230455, 15.390007925724635, 13.155833938513677, 6.298659693644262, 5.97612866134108, 4.895618998628259, 6.753658264746228, 2.88161704187848, 2.253679337231969, 1.3038941231680024, 0.0, 17.70274402006173, 14.342835354848022, 11.268396686159845, 8.644851125635439, 13.507316529492456, 6.853866598079563, 5.97612866134108, 4.49904263831733, 6.577916969256838, 5.130002641908213, 2.8776009516460914, 1.2971413281561135, 0.0), # 95
(17.76883768115942, 14.195488172043014, 14.360795138888891, 15.351342798913045, 13.134281045751635, 6.283282098765432, 5.9497833800186735, 4.875574074074075, 6.740528703703703, 2.8714475816993468, 2.2446500000000005, 1.300240740740741, 0.0, 17.67033854166667, 14.30264814814815, 11.22325, 8.614342745098039, 13.481057407407405, 6.825803703703705, 5.9497833800186735, 4.488058641975309, 6.5671405228758175, 5.117114266304349, 2.8721590277777787, 1.2904989247311833, 0.0), # 96
(17.716090069779927, 14.12227191358025, 14.333298482510289, 15.31230919384058, 13.112379569111596, 6.267800800182899, 5.9233708718055125, 4.855825445816188, 6.727347290809328, 2.8612516291454857, 2.235583661173135, 1.2965613674102956, 0.0, 17.637446952160495, 14.262175041513249, 11.177918305865674, 8.583754887436456, 13.454694581618655, 6.798155624142662, 5.9233708718055125, 4.477000571559214, 6.556189784555798, 5.104103064613527, 2.8666596965020577, 1.2838429012345685, 0.0), # 97
(17.66276017176597, 14.048940003982477, 14.305520961934155, 15.27293537137681, 13.090158557250064, 6.252246524919983, 5.896900681260158, 4.83638134430727, 6.714125548696844, 2.851029416606149, 2.226493292574872, 1.2928577359035447, 0.0, 17.604115547839505, 14.22143509493899, 11.13246646287436, 8.553088249818446, 13.428251097393687, 6.770933882030178, 5.896900681260158, 4.465890374942845, 6.545079278625032, 5.090978457125605, 2.8611041923868314, 1.277176363998407, 0.0), # 98
(17.608930434782607, 13.975526612903225, 14.277468750000002, 15.233249592391303, 13.067647058823532, 6.23665, 5.870382352941177, 4.8172500000000005, 6.700875, 2.8407811764705886, 2.2173918660287084, 1.2891315789473687, 0.0, 17.570390625, 14.180447368421053, 11.086959330143541, 8.522343529411764, 13.40175, 6.744150000000001, 5.870382352941177, 4.45475, 6.533823529411766, 5.0777498641304355, 2.8554937500000004, 1.2705024193548389, 0.0), # 99
(17.5546833064949, 13.902065909996015, 14.249148019547325, 15.193280117753623, 13.044874122488501, 6.2210419524462734, 5.843825431407131, 4.798439643347051, 6.687607167352539, 2.8305071411280567, 2.2082923533581433, 1.285384629268645, 0.0, 17.536318479938274, 14.139230921955095, 11.041461766790714, 8.49152142338417, 13.375214334705078, 6.717815500685871, 5.843825431407131, 4.443601394604481, 6.522437061244251, 5.064426705917875, 2.8498296039094653, 1.2638241736360014, 0.0), # 100
(17.500101234567904, 13.828592064914377, 14.22056494341564, 15.153055208333335, 13.021868796901476, 6.205453109282122, 5.817239461216586, 4.7799585048010975, 6.674333573388203, 2.820207542967805, 2.1992077263866743, 1.281618619594253, 0.0, 17.501945408950615, 14.097804815536781, 10.99603863193337, 8.460622628903414, 13.348667146776407, 6.691941906721536, 5.817239461216586, 4.432466506630087, 6.510934398450738, 5.051018402777779, 2.8441129886831282, 1.2571447331740344, 0.0), # 101
(17.44526666666667, 13.755139247311828, 14.191725694444445, 15.112603125, 12.998660130718955, 6.189914197530865, 5.790633986928105, 4.761814814814815, 6.66106574074074, 2.809882614379086, 2.1901509569377993, 1.2778352826510724, 0.0, 17.467317708333336, 14.056188109161795, 10.950754784688995, 8.429647843137257, 13.32213148148148, 6.666540740740741, 5.790633986928105, 4.421367283950618, 6.499330065359477, 5.037534375000001, 2.838345138888889, 1.2504672043010754, 0.0), # 102
(17.390262050456254, 13.681741626841896, 14.16263644547325, 15.071952128623188, 12.975277172597433, 6.174455944215821, 5.764018553100253, 4.7440168038408785, 6.647815192043895, 2.7995325877511505, 2.181135016835017, 1.2740363511659811, 0.0, 17.432481674382714, 14.014399862825789, 10.905675084175085, 8.39859776325345, 13.29563038408779, 6.64162352537723, 5.764018553100253, 4.410325674439872, 6.487638586298717, 5.023984042874397, 2.8325272890946502, 1.2437946933492634, 0.0), # 103
(17.335169833601718, 13.608433373158105, 14.133303369341563, 15.031130480072465, 12.951748971193414, 6.159109076360311, 5.737402704291593, 4.7265727023319615, 6.634593449931413, 2.7891576954732518, 2.1721728779018252, 1.2702235578658583, 0.0, 17.397483603395063, 13.972459136524439, 10.860864389509127, 8.367473086419754, 13.269186899862826, 6.617201783264746, 5.737402704291593, 4.399363625971651, 6.475874485596707, 5.010376826690822, 2.826660673868313, 1.237130306650737, 0.0), # 104
(17.280072463768114, 13.535248655913978, 14.103732638888891, 14.99016644021739, 12.928104575163397, 6.143904320987655, 5.710795985060692, 4.709490740740741, 6.621412037037037, 2.7787581699346413, 2.1632775119617227, 1.2663986354775831, 0.0, 17.362369791666666, 13.930384990253412, 10.816387559808613, 8.336274509803923, 13.242824074074074, 6.5932870370370384, 5.710795985060692, 4.388503086419754, 6.464052287581699, 4.996722146739131, 2.820746527777778, 1.2304771505376346, 0.0), # 105
(17.225052388620504, 13.462221644763043, 14.073930426954732, 14.949088269927536, 12.904373033163882, 6.128872405121171, 5.68420793996611, 4.6927791495198905, 6.608282475994512, 2.7683342435245706, 2.1544618908382067, 1.2625633167280343, 0.0, 17.327186535493826, 13.888196484008375, 10.772309454191033, 8.30500273057371, 13.216564951989024, 6.5698908093278465, 5.68420793996611, 4.377766003657979, 6.452186516581941, 4.98302942330918, 2.8147860853909465, 1.223838331342095, 0.0), # 106
(17.17019205582394, 13.389386509358822, 14.043902906378605, 14.907924230072464, 12.880583393851367, 6.114044055784181, 5.657648113566415, 4.6764461591220865, 6.595216289437586, 2.7578861486322928, 2.145738986354776, 1.2587193343440908, 0.0, 17.29198013117284, 13.845912677784996, 10.728694931773878, 8.273658445896878, 13.190432578875171, 6.547024622770921, 5.657648113566415, 4.367174325560129, 6.440291696925684, 4.969308076690822, 2.808780581275721, 1.2172169553962566, 0.0), # 107
(17.11557391304348, 13.31677741935484, 14.013656250000002, 14.866702581521741, 12.856764705882352, 6.099450000000001, 5.631126050420168, 4.660500000000001, 6.582225000000001, 2.7474141176470597, 2.1371217703349283, 1.2548684210526317, 0.0, 17.256796875000003, 13.803552631578947, 10.685608851674642, 8.242242352941178, 13.164450000000002, 6.524700000000001, 5.631126050420168, 4.356750000000001, 6.428382352941176, 4.955567527173915, 2.8027312500000003, 1.2106161290322583, 0.0), # 108
(17.061280407944178, 13.24442854440462, 13.983196630658439, 14.825451585144926, 12.832946017913338, 6.085120964791952, 5.604651295085936, 4.644948902606311, 6.569320130315501, 2.736918382958122, 2.1286232146021624, 1.2510123095805359, 0.0, 17.221683063271605, 13.761135405385891, 10.64311607301081, 8.210755148874364, 13.138640260631002, 6.502928463648835, 5.604651295085936, 4.346514974851394, 6.416473008956669, 4.941817195048309, 2.796639326131688, 1.2040389585822384, 0.0), # 109
(17.007393988191087, 13.17237405416169, 13.95253022119342, 14.784199501811596, 12.809156378600825, 6.071087677183356, 5.57823339212228, 4.62980109739369, 6.556513203017833, 2.726399176954733, 2.120256290979975, 1.2471527326546823, 0.0, 17.18668499228395, 13.718680059201501, 10.601281454899876, 8.179197530864197, 13.113026406035665, 6.4817215363511655, 5.57823339212228, 4.336491197988112, 6.404578189300413, 4.928066500603866, 2.790506044238684, 1.1974885503783357, 0.0), # 110
(16.953997101449275, 13.10064811827957, 13.921663194444447, 14.742974592391306, 12.785424836601308, 6.0573808641975315, 5.551881886087768, 4.615064814814815, 6.543815740740741, 2.715856732026144, 2.1120339712918663, 1.2432914230019496, 0.0, 17.151848958333336, 13.676205653021444, 10.56016985645933, 8.147570196078432, 13.087631481481482, 6.461090740740741, 5.551881886087768, 4.326700617283951, 6.392712418300654, 4.914324864130436, 2.78433263888889, 1.1909680107526885, 0.0), # 111
(16.90117219538379, 13.029284906411787, 13.890601723251033, 14.701805117753622, 12.76178044057129, 6.044031252857797, 5.5256063215409625, 4.60074828532236, 6.531239266117969, 2.7052912805616076, 2.103969227361333, 1.2394301133492167, 0.0, 17.11722125771605, 13.633731246841382, 10.519846136806663, 8.115873841684822, 13.062478532235938, 6.441047599451304, 5.5256063215409625, 4.3171651806127125, 6.380890220285645, 4.900601705917875, 2.778120344650207, 1.1844804460374354, 0.0), # 112
(16.84890760266548, 12.958437720996821, 13.859426742378105, 14.660775741364255, 12.738210816208445, 6.03106325767524, 5.499473367291093, 4.586889426585454, 6.518827686755172, 2.694737131475729, 2.0960771718458604, 1.2355789404756645, 0.0, 17.0827990215178, 13.591368345232306, 10.480385859229301, 8.084211394427186, 13.037655373510344, 6.421645197219636, 5.499473367291093, 4.307902326910885, 6.369105408104223, 4.886925247121419, 2.7718853484756214, 1.178039792817893, 0.0), # 113
(16.796665616220118, 12.888805352817133, 13.828568512532428, 14.620215718724406, 12.71447202547959, 6.018447338956397, 5.473816387569522, 4.57365844462884, 6.506771421427836, 2.684391825560753, 2.0883733011339594, 1.2317868258169462, 0.0, 17.048295745488062, 13.549655083986407, 10.441866505669795, 8.053175476682258, 13.013542842855673, 6.403121822480377, 5.473816387569522, 4.298890956397426, 6.357236012739795, 4.873405239574803, 2.7657137025064857, 1.1717095775288306, 0.0), # 114
(16.744292825407193, 12.820412877827026, 13.798045399060976, 14.580114081995404, 12.690489213466321, 6.006150688123703, 5.448653685172405, 4.561051990709032, 6.495074987201274, 2.674271397594635, 2.0808463534281283, 1.2280556373838278, 0.0, 17.013611936988678, 13.508612011222104, 10.404231767140642, 8.022814192783905, 12.990149974402549, 6.385472786992645, 5.448653685172405, 4.290107634374073, 6.345244606733161, 4.860038027331802, 2.7596090798121957, 1.165492079802457, 0.0), # 115
(16.691723771827743, 12.753160664131308, 13.767798284975811, 14.540399302859647, 12.666226231660534, 5.994144321151453, 5.423944335775104, 4.549035234674245, 6.483708803536698, 2.6643570113022967, 2.0734817793814444, 1.224378479623102, 0.0, 16.978693067560602, 13.46816327585412, 10.367408896907222, 7.9930710339068884, 12.967417607073395, 6.368649328543944, 5.423944335775104, 4.281531657965324, 6.333113115830267, 4.846799767619883, 2.7535596569951624, 1.1593782421937553, 0.0), # 116
(16.63889299708279, 12.686949079834788, 13.73776805328898, 14.50099985299953, 12.641646931554131, 5.982399254013936, 5.399647415052978, 4.537573346372689, 6.472643289895322, 2.6546298304086586, 2.0662650296469853, 1.2207484569815625, 0.0, 16.943484608744804, 13.428233026797187, 10.331325148234924, 7.963889491225975, 12.945286579790643, 6.352602684921765, 5.399647415052978, 4.2731423242956685, 6.320823465777066, 4.833666617666511, 2.747553610657796, 1.1533590072577082, 0.0), # 117
(16.58573504277338, 12.621678493042284, 13.707895587012551, 14.461844204097451, 12.616715164639011, 5.970886502685445, 5.375721998681383, 4.526631495652572, 6.461848865738361, 2.6450710186386424, 2.0591815548778274, 1.2171586739060027, 0.0, 16.907932032082243, 13.388745412966028, 10.295907774389137, 7.935213055915925, 12.923697731476722, 6.337284093913602, 5.375721998681383, 4.264918930489604, 6.3083575823195055, 4.820614734699151, 2.74157911740251, 1.1474253175492988, 0.0), # 118
(16.532184450500534, 12.557249271858602, 13.678121769158587, 14.422860827835802, 12.591394782407065, 5.9595770831402755, 5.35212716233568, 4.516174852362109, 6.451295950527026, 2.6356617397171678, 2.0522168057270487, 1.2136022348432152, 0.0, 16.87198080911388, 13.349624583275366, 10.261084028635242, 7.906985219151502, 12.902591901054052, 6.322644793306953, 5.35212716233568, 4.256840773671625, 6.295697391203532, 4.807620275945268, 2.7356243538317178, 1.1415681156235096, 0.0), # 119
(16.47817576186529, 12.49356178438856, 13.648387482739144, 14.383978195896983, 12.565649636350196, 5.948442011352714, 5.3288219816912274, 4.506168586349507, 6.440954963722534, 2.626383157369158, 2.045356232847725, 1.2100722442399947, 0.0, 16.835576411380675, 13.31079468663994, 10.226781164238623, 7.879149472107472, 12.881909927445069, 6.308636020889311, 5.3288219816912274, 4.248887150966224, 6.282824818175098, 4.794659398632328, 2.7296774965478288, 1.1357783440353237, 0.0), # 120
(16.423643518468683, 12.430516398736968, 13.618633610766281, 14.345124779963385, 12.539443577960302, 5.937452303297058, 5.305765532423383, 4.49657786746298, 6.430796324786099, 2.6172164353195337, 2.038585286892935, 1.2065618065431336, 0.0, 16.79866431042359, 13.272179871974467, 10.192926434464676, 7.8516493059586, 12.861592649572199, 6.295209014448172, 5.305765532423383, 4.2410373594978985, 6.269721788980151, 4.781708259987796, 2.7237267221532564, 1.1300469453397246, 0.0), # 121
(16.36852226191174, 12.368013483008635, 13.588801036252066, 14.306229051717406, 12.51274045872928, 5.926578974947596, 5.282916890207506, 4.487367865550737, 6.420790453178933, 2.6081427372932153, 2.0318894185157554, 1.2030640261994254, 0.0, 16.761189977783587, 13.233704288193676, 10.159447092578777, 7.824428211879645, 12.841580906357866, 6.282315011771032, 5.282916890207506, 4.2332706963911395, 6.25637022936464, 4.768743017239136, 2.7177602072504135, 1.1243648620916942, 0.0), # 122
(16.312746533795494, 12.305953405308378, 13.558830642208555, 14.267219482841437, 12.485504130149028, 5.915793042278621, 5.260235130718955, 4.478503750460988, 6.410907768362252, 2.5991432270151247, 2.0252540783692634, 1.1995720076556633, 0.0, 16.72309888500163, 13.195292084212294, 10.126270391846315, 7.797429681045372, 12.821815536724504, 6.269905250645383, 5.260235130718955, 4.225566458770444, 6.242752065074514, 4.755739827613813, 2.711766128441711, 1.1187230368462162, 0.0), # 123
(16.256250875720976, 12.244236533741004, 13.528663311647806, 14.228024545017881, 12.457698443711445, 5.905065521264426, 5.237679329633088, 4.469950692041945, 6.401118689797269, 2.590199068210183, 2.018664717106536, 1.1960788553586414, 0.0, 16.68433650361868, 13.156867408945052, 10.09332358553268, 7.770597204630548, 12.802237379594539, 6.257930968858723, 5.237679329633088, 4.217903943760304, 6.2288492218557225, 4.742674848339295, 2.7057326623295617, 1.1131124121582732, 0.0), # 124
(16.198969829289226, 12.18276323641133, 13.498239927581887, 14.188572709929128, 12.429287250908427, 5.894367427879304, 5.215208562625265, 4.461673860141818, 6.391393636945196, 2.5812914246033105, 2.012106785380651, 1.1925776737551523, 0.0, 16.644848305175692, 13.118354411306674, 10.060533926903252, 7.74387427380993, 12.782787273890392, 6.246343404198546, 5.215208562625265, 4.210262448485217, 6.2146436254542134, 4.7295242366430434, 2.6996479855163775, 1.1075239305828484, 0.0), # 125
(16.14083793610127, 12.121433881424165, 13.46750137302285, 14.148792449257574, 12.400234403231872, 5.883669778097547, 5.192781905370843, 4.453638424608819, 6.381703029267251, 2.57240145991943, 2.005565733844684, 1.1890615672919902, 0.0, 16.604579761213643, 13.079677240211891, 10.02782866922342, 7.717204379758288, 12.763406058534501, 6.235093794452347, 5.192781905370843, 4.202621270069677, 6.200117201615936, 4.716264149752526, 2.69350027460457, 1.1019485346749243, 0.0), # 126
(16.08178973775815, 12.06014883688432, 13.436388530982757, 14.108612234685616, 12.370503752173677, 5.872943587893444, 5.170358433545185, 4.445809555291159, 6.3720172862246445, 2.563510337883461, 1.9990270131517138, 1.1855236404159475, 0.0, 16.56347634327348, 13.040760044575421, 9.99513506575857, 7.690531013650382, 12.744034572449289, 6.224133377407623, 5.170358433545185, 4.194959705638174, 6.185251876086839, 4.702870744895206, 2.6872777061965514, 1.0963771669894837, 0.0), # 127
(16.021759775860883, 11.998808470896611, 13.404842284473675, 14.06796053789565, 12.340059149225747, 5.862159873241292, 5.147897222823644, 4.438152422037048, 6.362306827278591, 2.554599222220326, 1.9924760739548175, 1.1819569975738184, 0.0, 16.521483522896165, 13.001526973312, 9.962380369774086, 7.663797666660978, 12.724613654557182, 6.2134133908518665, 5.147897222823644, 4.187257052315209, 6.170029574612873, 4.689320179298551, 2.680968456894735, 1.0908007700815103, 0.0), # 128
(15.960682592010507, 11.937313151565847, 13.37280351650766, 14.026765830570064, 12.308864445879973, 5.85128965011538, 5.125357348881582, 4.430632194694696, 6.352542071890305, 2.5456492766549457, 1.9858983669070716, 1.1783547432123955, 0.0, 16.478546771622668, 12.96190217533635, 9.929491834535357, 7.636947829964836, 12.70508414378061, 6.202885072572574, 5.125357348881582, 4.179492607225272, 6.154432222939986, 4.675588610190022, 2.6745607033015326, 1.0852102865059863, 0.0), # 129
(15.89849272780806, 11.875563246996844, 13.34021311009677, 13.984956584391266, 12.276883493628256, 5.840303934489999, 5.102697887394356, 4.423214043112313, 6.342693439521001, 2.536641664912241, 1.9792793426615536, 1.174709981778473, 0.0, 16.434611560993947, 12.921809799563201, 9.896396713307768, 7.609924994736723, 12.685386879042001, 6.192499660357238, 5.102697887394356, 4.171645667492856, 6.138441746814128, 4.66165219479709, 2.668042622019354, 1.0795966588178951, 0.0), # 130
(15.83512472485457, 11.81345912529441, 13.307011948253072, 13.942461271041642, 12.244080143962494, 5.829173742339445, 5.079877914037328, 4.415863137138113, 6.332731349631892, 2.527557550717134, 1.9726044518713404, 1.1710158177188439, 0.0, 16.38962336255096, 12.88117399490728, 9.863022259356702, 7.5826726521514, 12.665462699263784, 6.182208391993358, 5.079877914037328, 4.16369553024246, 6.122040071981247, 4.647487090347215, 2.6614023896506143, 1.073950829572219, 0.0), # 131
(15.770513124751067, 11.750901154563357, 13.27314091398862, 13.899208362203591, 12.210418248374584, 5.817870089638008, 5.056856504485853, 4.408544646620305, 6.322626221684192, 2.5183780977945447, 1.9658591451895095, 1.1672653554803014, 0.0, 16.343527647834676, 12.839918910283313, 9.829295725947548, 7.555134293383633, 12.645252443368385, 6.171962505268427, 5.056856504485853, 4.155621492598577, 6.105209124187292, 4.633069454067865, 2.654628182797724, 1.0682637413239418, 0.0), # 132
(15.704592469098595, 11.687789702908498, 13.238540890315475, 13.855126329559509, 12.175861658356425, 5.80636399235998, 5.03359273441529, 4.4012237414071, 6.312348475139116, 2.509084469869395, 1.9590288732691383, 1.1634516995096391, 0.0, 16.296269888386057, 12.797968694606027, 9.795144366345692, 7.527253409608184, 12.624696950278231, 6.1617132379699395, 5.03359273441529, 4.1474028516857, 6.087930829178212, 4.618375443186504, 2.647708178063095, 1.0625263366280455, 0.0), # 133
(15.63729729949817, 11.624025138434646, 13.203152760245707, 13.81014364479179, 12.14037422539991, 5.794626466479654, 5.010045679501001, 4.3938655913467075, 6.301868529457877, 2.499657830666606, 1.952099086763304, 1.1595679542536501, 0.0, 16.24779555574605, 12.755247496790147, 9.76049543381652, 7.498973491999817, 12.603737058915755, 6.151411827885391, 5.010045679501001, 4.139018904628324, 6.070187112699955, 4.6033812149305975, 2.6406305520491418, 1.0567295580395135, 0.0), # 134
(15.568562157550836, 11.559507829246614, 13.166917406791363, 13.764188779582833, 12.103919800996945, 5.7826285279713225, 4.986174415418341, 4.3864353662873405, 6.291156804101687, 2.4900793439110998, 1.945055236325083, 1.155607224159128, 0.0, 16.198050121455637, 12.711679465750406, 9.725276181625414, 7.470238031733298, 12.582313608203375, 6.141009512802277, 4.986174415418341, 4.130448948550945, 6.051959900498472, 4.588062926527612, 2.633383481358273, 1.0508643481133288, 0.0), # 135
(15.498321584857623, 11.494138143449213, 13.129775712964513, 13.717190205615022, 12.066462236639419, 5.770341192809277, 4.961938017842671, 4.378898236077208, 6.280183718531764, 2.4803301733277956, 1.9378827726075534, 1.1515626136728663, 0.0, 16.146979057055766, 12.667188750401527, 9.689413863037766, 7.4409905199833855, 12.560367437063528, 6.130457530508091, 4.961938017842671, 4.121672280578055, 6.033231118319709, 4.572396735205008, 2.6259551425929026, 1.044921649404474, 0.0), # 136
(15.426510123019561, 11.427816449147253, 13.091668561777217, 13.66907639457077, 12.02796538381924, 5.757735476967808, 4.93729556244935, 4.371219370564522, 6.2689196922093195, 2.4703914826416162, 1.930567146263792, 1.1474272272416581, 0.0, 16.094527834087398, 12.621699499658236, 9.652835731318959, 7.411174447924847, 12.537839384418639, 6.119707118790331, 4.93729556244935, 4.112668197834148, 6.01398269190962, 4.556358798190257, 2.6183337123554433, 1.0388924044679322, 0.0), # 137
(15.353062313637686, 11.360443114445548, 13.052536836241526, 13.619775818132457, 11.988393094028304, 5.744782396421213, 4.912206124913734, 4.363363939597493, 6.257335144595569, 2.4602444355774815, 1.9230938079468758, 1.143194169312297, 0.0, 16.040641924091503, 12.575135862435264, 9.615469039734378, 7.380733306732443, 12.514670289191137, 6.10870951543649, 4.912206124913734, 4.103415997443723, 5.994196547014152, 4.5399252727108195, 2.6105073672483052, 1.0327675558586864, 0.0), # 138
(15.277912698313022, 11.29191850744891, 13.01232141936951, 13.569216947982484, 11.947709218758497, 5.731452967143778, 4.886628780911184, 4.355297113024331, 6.245400495151722, 2.449870195860314, 1.9154482083098823, 1.1388565443315761, 0.0, 15.985266798609034, 12.527421987647335, 9.577241041549412, 7.3496105875809405, 12.490800990303445, 6.0974159582340635, 4.886628780911184, 4.093894976531271, 5.973854609379249, 4.523072315994162, 2.602464283873902, 1.0265380461317193, 0.0), # 139
(15.200995818646616, 11.22214299626215, 12.970963194173232, 13.51732825580325, 11.905877609501736, 5.717718205109798, 4.860522606117057, 4.346984060693248, 6.233086163338999, 2.439249927215034, 1.9076157980058883, 1.134407456746289, 0.0, 15.928347929180966, 12.478482024209175, 9.538078990029442, 7.3177497816451, 12.466172326677999, 6.085777684970546, 4.860522606117057, 4.084084432221284, 5.952938804750868, 4.505776085267751, 2.5941926388346466, 1.020194817842014, 0.0), # 140
(15.122246216239494, 11.151016948990085, 12.92840304366474, 13.464038213277146, 11.862862117749902, 5.7035491262935665, 4.833846676206716, 4.338389952452453, 6.220362568618608, 2.4283647933665637, 1.8995820276879718, 1.129840011003229, 0.0, 15.869830787348244, 12.428240121035515, 9.497910138439858, 7.2850943800996895, 12.440725137237216, 6.073745933433434, 4.833846676206716, 4.0739636616382615, 5.931431058874951, 4.48801273775905, 2.5856806087329485, 1.0137288135445532, 0.0), # 141
(15.041598432692682, 11.07844073373752, 12.884581850856106, 13.409275292086573, 11.818626594994903, 5.688916746669374, 4.806560066855513, 4.329479958150158, 6.207200130451765, 2.417195958039823, 1.8913323480092095, 1.1251473115491895, 0.0, 15.80966084465184, 12.37662042704108, 9.456661740046046, 7.251587874119467, 12.41440026090353, 6.061271941410222, 4.806560066855513, 4.063511961906696, 5.909313297497452, 4.469758430695525, 2.5769163701712214, 1.00713097579432, 0.0), # 142
(14.958987009607215, 11.004314718609267, 12.839440498759389, 13.352967963913915, 11.773134892728635, 5.673792082211512, 4.778621853738811, 4.320219247634575, 6.1935692682996875, 2.405724584959734, 1.8828522096226783, 1.1203224628309636, 0.0, 15.747783572632711, 12.323547091140597, 9.41426104811339, 7.217173754879202, 12.387138536599375, 6.048306946688404, 4.778621853738811, 4.05270863015108, 5.886567446364317, 4.45098932130464, 2.5678880997518783, 1.0003922471462972, 0.0), # 143
(14.874346488584132, 10.928539271710147, 12.792919870386642, 13.29504470044158, 11.726350862442994, 5.658146148894274, 4.749991112531969, 4.310572990753912, 6.1794404016235855, 2.3939318378512175, 1.8741270631814555, 1.115358569295345, 0.0, 15.684144442831826, 12.268944262248793, 9.370635315907277, 7.181795513553651, 12.358880803247171, 6.034802187055478, 4.749991112531969, 4.04153296349591, 5.863175431221497, 4.431681566813861, 2.5585839740773286, 0.993503570155468, 0.0), # 144
(14.787611411224459, 10.851014761144963, 12.744960848749933, 13.235433973351956, 11.67823835562988, 5.641949962691953, 4.7206269189103445, 4.300506357356382, 6.164783949884672, 2.381798880439195, 1.865142359338619, 1.110248735389127, 0.0, 15.618688926790139, 12.212736089280396, 9.325711796693094, 7.145396641317584, 12.329567899769344, 6.020708900298935, 4.7206269189103445, 4.029964259065681, 5.83911917781494, 4.411811324450653, 2.548992169749987, 0.986455887376815, 0.0), # 145
(14.69871631912923, 10.771641555018533, 12.695504316861326, 13.174064254327444, 11.62876122378119, 5.62517453957884, 4.690488348549297, 4.289984517290195, 6.1495703325441635, 2.3693068764485874, 1.8558835487472447, 1.104986065559103, 0.0, 15.551362496048613, 12.154846721150133, 9.279417743736223, 7.107920629345761, 12.299140665088327, 6.005978324206273, 4.690488348549297, 4.0179818139848855, 5.814380611890595, 4.391354751442482, 2.539100863372265, 0.9792401413653213, 0.0), # 146
(14.607595753899481, 10.690320021435666, 12.644491157732865, 13.110864015050435, 11.577883318388821, 5.607790895529226, 4.659534477124183, 4.278972640403562, 6.133769969063274, 2.3564369896043162, 1.846336082060411, 1.0995636642520668, 0.0, 15.482110622148213, 12.095200306772732, 9.231680410302054, 7.069310968812948, 12.267539938126548, 5.990561696564987, 4.659534477124183, 4.005564925378019, 5.7889416591944105, 4.370288005016812, 2.5288982315465733, 0.9718472746759697, 0.0), # 147
(14.51418425713624, 10.606950528501175, 12.591862254376625, 13.045761727203324, 11.525568490944673, 5.5897700465174065, 4.627724380310364, 4.2674358965446935, 6.1173532789032175, 2.3431703836313016, 1.836485409931195, 1.0939746359148106, 0.0, 15.410878776629895, 12.033720995062914, 9.182427049655974, 7.029511150893903, 12.234706557806435, 5.974410255162571, 4.627724380310364, 3.9926928903695758, 5.762784245472337, 4.348587242401109, 2.5183724508753254, 0.9642682298637433, 0.0), # 148
(14.418416370440541, 10.52143344431987, 12.537558489804665, 12.97868586246851, 11.471780592940643, 5.57108300851767, 4.595017133783196, 4.255339455561801, 6.100290681525203, 2.3294882222544664, 1.8263169830126733, 1.0882120849941288, 0.0, 15.337612431034628, 11.970332934935415, 9.131584915063366, 6.988464666763398, 12.200581363050405, 5.957475237786521, 4.595017133783196, 3.9793450060840496, 5.735890296470322, 4.326228620822837, 2.507511697960933, 0.9564939494836247, 0.0), # 149
(14.320226635413416, 10.433669136996565, 12.481520747029043, 12.909564892528387, 11.416483475868631, 5.551700797504312, 4.561371813218041, 4.242648487303093, 6.0825525963904505, 2.31537166919873, 1.815816251957923, 1.0822691159368145, 0.0, 15.262257056903364, 11.904960275304958, 9.079081259789614, 6.946115007596189, 12.165105192780901, 5.93970788222433, 4.561371813218041, 3.9655005696459367, 5.7082417379343156, 4.303188297509463, 2.4963041494058085, 0.948515376090597, 0.0), # 150
(14.219549593655895, 10.343557974636072, 12.423689909061814, 12.838327289065347, 11.359640991220532, 5.531594429451621, 4.526747494290255, 4.229328161616783, 6.064109442960174, 2.3008018881890155, 1.8049686674200216, 1.0761388331896609, 0.0, 15.184758125777073, 11.837527165086268, 9.024843337100108, 6.902405664567045, 12.128218885920347, 5.921059426263496, 4.526747494290255, 3.951138878179729, 5.679820495610266, 4.27944242968845, 2.484737981812363, 0.9403234522396431, 0.0), # 151
(14.116319786769019, 10.251000325343204, 12.364006858915053, 12.76490152376179, 11.301216990488243, 5.510734920333892, 4.491103252675198, 4.215343648351081, 6.044931640695582, 2.2857600429502427, 1.7937596800520466, 1.0698143411994616, 0.0, 15.105061109196717, 11.767957753194075, 8.968798400260232, 6.857280128850727, 12.089863281391164, 5.901481107691514, 4.491103252675198, 3.936239228809923, 5.650608495244121, 4.254967174587264, 2.4728013717830106, 0.931909120485746, 0.0), # 152
(14.010471756353809, 10.155896557222773, 12.302412479600802, 12.68921606830011, 11.241175325163667, 5.489093286125417, 4.454398164048228, 4.200660117354197, 6.024989609057894, 2.2702272972073336, 1.782174740507075, 1.0632887444130097, 0.0, 15.02311147870325, 11.696176188543106, 8.910873702535374, 6.810681891622, 12.049979218115787, 5.880924164295876, 4.454398164048228, 3.920780918661012, 5.620587662581833, 4.229738689433371, 2.4604824959201608, 0.9232633233838886, 0.0), # 153
(13.901940044011312, 10.05814703837959, 12.238847654131138, 12.611199394362703, 11.179479846738696, 5.466640542800487, 4.416591304084705, 4.185242738474343, 6.00425376750832, 2.254184814685209, 1.7701992994381837, 1.0565551472770989, 0.0, 14.938854705837642, 11.622106620048086, 8.850996497190918, 6.762554444055626, 12.00850753501664, 5.85933983386408, 4.416591304084705, 3.904743244857491, 5.589739923369348, 4.203733131454236, 2.447769530826228, 0.9143770034890537, 0.0), # 154
(13.790659191342543, 9.957652136918465, 12.173253265518113, 12.530779973631962, 11.116094406705237, 5.443347706333395, 4.377641748459985, 4.169056681559727, 5.982694535508077, 2.23761375910879, 1.7578188074984502, 1.0496066542385225, 0.0, 14.852236262140847, 11.545673196623744, 8.789094037492251, 6.712841277326369, 11.965389071016155, 5.836679354183619, 4.377641748459985, 3.8881055045238533, 5.5580472033526185, 4.176926657877321, 2.4346506531036227, 0.9052411033562243, 0.0), # 155
(13.676563739948545, 9.854312220944214, 12.10557019677379, 12.447886277790282, 11.050982856555176, 5.419185792698435, 4.33750857284943, 4.152067116458564, 5.960282332518376, 2.220495294202998, 1.7450187153409518, 1.0424363697440735, 0.0, 14.763201619153833, 11.466800067184806, 8.725093576704758, 6.661485882608993, 11.920564665036752, 5.81289396304199, 4.33750857284943, 3.870846994784596, 5.525491428277588, 4.149295425930095, 2.4211140393547583, 0.8958465655403832, 0.0), # 156
(13.559588231430352, 9.748027658561648, 12.035739330910227, 12.362446778520066, 10.984109047780422, 5.394125817869895, 4.296150852928397, 4.134239213019062, 5.9369875780004335, 2.202810583692754, 1.731784473618765, 1.0350373982405456, 0.0, 14.671696248417557, 11.385411380646001, 8.658922368093824, 6.60843175107826, 11.873975156000867, 5.787934898226687, 4.296150852928397, 3.8529470127642105, 5.492054523890211, 4.120815592840023, 2.407147866182046, 0.8861843325965136, 0.0), # 157
(13.43642570352943, 9.636747649274225, 11.960387930853534, 12.27118893522918, 10.912417327045198, 5.366575700132966, 4.252596048835072, 4.1143477142620295, 5.910997254959458, 2.1840146623310153, 1.717678725761683, 1.027139934629151, 0.0, 14.573674546947622, 11.298539280920659, 8.588393628808413, 6.552043986993045, 11.821994509918916, 5.7600867999668415, 4.252596048835072, 3.833268357237833, 5.456208663522599, 4.090396311743061, 2.3920775861707066, 0.8760679681158388, 0.0), # 158
(13.288116180561124, 9.509057777339137, 11.860106727604483, 12.155369164364412, 10.818229571737954, 5.327374130407459, 4.201391487047145, 4.085410149573287, 5.871856356733287, 2.161026447344436, 1.7002250806856987, 1.0172043785524665, 0.0, 14.445769764456351, 11.189248164077128, 8.501125403428492, 6.483079342033307, 11.743712713466573, 5.719574209402602, 4.201391487047145, 3.8052672360053275, 5.409114785868977, 4.051789721454805, 2.372021345520897, 0.8644597979399218, 0.0), # 159
(13.112769770827757, 9.363909602092178, 11.732881436933834, 12.013079639051961, 10.699704157616154, 5.275558360850069, 4.142019373545406, 4.04669939214551, 5.818455136337191, 2.1335425433383026, 1.6791778525828622, 1.0050752923331772, 0.0, 14.285557096008445, 11.055828215664945, 8.39588926291431, 6.400627630014906, 11.636910272674381, 5.665379149003714, 4.142019373545406, 3.7682559720357633, 5.349852078808077, 4.004359879683988, 2.346576287386767, 0.8512645092811072, 0.0), # 160
(12.911799698254727, 9.202249432332774, 11.580070457865464, 11.845672880071582, 10.558071749138534, 5.21175610364883, 4.0749133014061885, 3.9987003998323356, 5.751497860199411, 2.101796186926922, 1.6547224963799123, 0.9908651203361357, 0.0, 14.094673280674375, 10.899516323697492, 8.273612481899562, 6.305388560780765, 11.502995720398822, 5.59818055976527, 4.0749133014061885, 3.722682931177736, 5.279035874569267, 3.9485576266905285, 2.3160140915730927, 0.8365681302120704, 0.0), # 161
(12.686619186767443, 9.025023576860344, 11.403032189423245, 11.654501408203041, 10.394563010763845, 5.1365950709917785, 4.000506863705828, 3.941898130487402, 5.6716887947481816, 2.0660206147246045, 1.6270444670035862, 0.9746863069261941, 0.0, 13.874755057524599, 10.721549376188133, 8.13522233501793, 6.198061844173813, 11.343377589496363, 5.518657382682362, 4.000506863705828, 3.668996479279842, 5.197281505381922, 3.884833802734348, 2.280606437884649, 0.8204566888054858, 0.0), # 162
(12.438641460291295, 8.833178344474314, 11.203125030631053, 11.44091774422611, 10.210408606950825, 5.050702975066952, 3.919233653520661, 3.876777541964344, 5.579732206411743, 2.0264490633456567, 1.5963292193806227, 0.956651296468205, 0.0, 13.627439165629584, 10.523164261150253, 7.9816460969031136, 6.079347190036969, 11.159464412823485, 5.427488558750082, 3.919233653520661, 3.6076449821906795, 5.105204303475412, 3.813639248075371, 2.2406250061262107, 0.8030162131340287, 0.0), # 163
(12.16927974275169, 8.627660043974105, 10.981707380512765, 11.206274408920553, 10.006839202158226, 4.954707528062387, 3.8315272639270197, 3.8038235921168018, 5.476332361618334, 1.9833147694043862, 1.562762208437759, 0.9368725333270206, 0.0, 13.35436234405979, 10.305597866597225, 7.813811042188794, 5.949944308213158, 10.952664723236667, 5.325353028963523, 3.8315272639270197, 3.5390768057588473, 5.003419601079113, 3.735424802973519, 2.1963414761025533, 0.7843327312703733, 0.0), # 164
(11.879947258074031, 8.409414984159142, 10.740137638092254, 10.95192392306614, 9.785085460844787, 4.849236442166116, 3.7378212880012396, 3.7235212387984102, 5.3621935267961875, 1.9368509695151015, 1.5265288891017337, 0.915462461867493, 0.0, 13.057161331885686, 10.070087080542422, 7.632644445508667, 5.810552908545303, 10.724387053592375, 5.2129297343177745, 3.7378212880012396, 3.4637403158329394, 4.892542730422393, 3.6506413076887143, 2.148027527618451, 0.7644922712871949, 0.0), # 165
(11.572057230183715, 8.17938947382885, 10.479774202393392, 10.679218807442627, 9.546378047469258, 4.734917429566179, 3.6385493188196576, 3.636355439862808, 5.2380199683735436, 1.8872909002921108, 1.4878147162992839, 0.8925335264544754, 0.0, 12.737472868177733, 9.817868790999228, 7.4390735814964195, 5.661872700876331, 10.476039936747087, 5.090897615807931, 3.6385493188196576, 3.3820838782615565, 4.773189023734629, 3.5597396024808767, 2.0959548404786785, 0.7435808612571683, 0.0), # 166
(11.24702288300614, 7.938529821782648, 10.201975472440058, 10.389511582829789, 9.291947626490376, 4.6123782024506115, 3.5341449494586072, 3.542811153163632, 5.104515952778639, 1.834867798349722, 1.4468051449571482, 0.8681981714528189, 0.0, 12.396933692006392, 9.550179885981006, 7.23402572478574, 5.504603395049164, 10.209031905557278, 4.959935614429085, 3.5341449494586072, 3.2945558588932937, 4.645973813245188, 3.4631705276099303, 2.040395094488012, 0.7216845292529681, 0.0), # 167
(10.906257440466712, 7.687782336819962, 9.908099847256123, 10.084154770007387, 9.023024862366888, 4.482246473007449, 3.425041772994424, 3.44337333655452, 4.962385746439713, 1.779814900302243, 1.4036856300020644, 0.8425688412273767, 0.0, 12.037180542442131, 9.268257253501142, 7.018428150010321, 5.339444700906728, 9.924771492879426, 4.820722671176328, 3.425041772994424, 3.2016046235767495, 4.511512431183444, 3.361384923335797, 1.9816199694512246, 0.6988893033472693, 0.0), # 168
(10.551174126490828, 7.428093327740216, 9.599505725865463, 9.76450088975519, 8.740840419557543, 4.3451499534247295, 3.3116733825034426, 3.338526947889109, 4.812333615785002, 1.7223654427639818, 1.3586416263607706, 0.8157579801430009, 0.0, 11.659850158555415, 8.97333778157301, 6.793208131803853, 5.167096328291944, 9.624667231570005, 4.673937727044753, 3.3116733825034426, 3.103678538160521, 4.370420209778771, 3.254833629918398, 1.9199011451730927, 0.675281211612747, 0.0), # 169
(10.18318616500389, 7.160409103342831, 9.277551507291953, 9.43190246285296, 8.44662496252108, 4.201716355890488, 3.1944733710619975, 3.228756945021036, 4.655063827242743, 1.6627526623492466, 1.311858588960005, 0.7878780325645439, 0.0, 11.2665792794167, 8.666658358209983, 6.559292944800025, 4.988257987047739, 9.310127654485486, 4.52025972302945, 3.1944733710619975, 3.0012259684932054, 4.22331248126054, 3.1439674876176547, 1.8555103014583907, 0.6509462821220756, 0.0), # 170
(9.8037067799313, 6.88567597242723, 8.943595590559468, 9.087712010080473, 8.141609155716246, 4.052573392592758, 3.0738753317464247, 3.1145482858039375, 4.491280647241173, 1.6012097956723452, 1.2635219727265048, 0.759041442856858, 0.0, 10.859004644096458, 8.349455871425437, 6.317609863632523, 4.803629387017034, 8.982561294482347, 4.360367600125513, 3.0738753317464247, 2.8946952804233987, 4.070804577858123, 3.029237336693492, 1.7887191181118935, 0.6259705429479302, 0.0), # 171
(9.414149195198457, 6.604840243792839, 8.59899637469188, 8.733282052217486, 7.827023663601784, 3.898348775719581, 2.950312857633059, 2.996385928091453, 4.321688342208532, 1.5379700793475863, 1.2138172325870082, 0.7293606553847958, 0.0, 10.438762991665145, 8.022967209232752, 6.069086162935041, 4.613910238042758, 8.643376684417063, 4.194940299328034, 2.950312857633059, 2.7845348397997007, 3.913511831800892, 2.911094017405829, 1.7197992749383764, 0.6004400221629854, 0.0), # 172
(9.015926634730764, 6.31884822623908, 8.245112258713068, 8.369965110043767, 7.504099150636442, 3.739670217458989, 2.824219541798235, 2.874754829737218, 4.146991178573053, 1.4732667499892769, 1.1629298234682535, 0.6989481145132089, 0.0, 10.007491061193234, 7.6884292596452966, 5.8146491173412675, 4.41980024996783, 8.293982357146106, 4.024656761632105, 2.824219541798235, 2.6711930124707064, 3.752049575318221, 2.7899883700145893, 1.6490224517426137, 0.5744407478399164, 0.0), # 173
(8.610452322453618, 6.028646228565374, 7.883301641646902, 7.99911370433908, 7.174066281278959, 3.57716542999902, 2.6960289773182877, 2.7501399485948705, 3.9678934227629785, 1.4073330442117262, 1.1110452002969786, 0.6679162646069503, 0.0, 9.566825591751181, 7.347078910676452, 5.555226001484892, 4.221999132635178, 7.935786845525957, 3.850195928032819, 2.6960289773182877, 2.5551181642850143, 3.5870331406394795, 2.6663712347796937, 1.5766603283293805, 0.5480587480513978, 0.0), # 174
(8.19913948229242, 5.7351805595711465, 7.514922922517262, 7.622080355883197, 6.838155719988082, 3.41146212552771, 2.566174757269552, 2.623026242518047, 3.7850993412065432, 1.3404021986292411, 1.058348817999921, 0.6363775500308723, 0.0, 9.118403322409455, 7.000153050339593, 5.291744089999604, 4.021206595887723, 7.5701986824130865, 3.6722367395252657, 2.566174757269552, 2.4367586610912215, 3.419077859994041, 2.540693451961066, 1.5029845845034526, 0.5213800508701043, 0.0), # 175
(7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), # 176
(7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), # 177
(6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 117
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 118
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 123
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 132
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 133
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 134
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 135
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 136
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 137
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 138
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 139
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 140
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 141
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 142
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 143
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 144
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 145
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 146
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 147
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 148
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 149
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 150
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 151
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 152
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 153
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 154
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 155
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 156
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 157
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 158
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 159
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 160
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 161
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 162
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 163
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 164
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 165
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 166
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 167
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 172
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 173
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 174
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
71, # 1
)
| """
PASSENGERS
"""
num_passengers = 34399
passenger_arriving = ((9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), (6, 9, 9, 6, 5, 1, 3, 5, 3, 1, 3, 0, 0, 9, 7, 4, 4, 7, 4, 3, 5, 5, 2, 2, 0, 0), (11, 13, 5, 10, 9, 2, 5, 2, 3, 1, 4, 1, 0, 14, 7, 7, 6, 15, 4, 3, 6, 3, 1, 2, 1, 0), (14, 17, 9, 10, 8, 2, 4, 9, 2, 1, 2, 1, 0, 3, 8, 6, 6, 12, 3, 3, 2, 4, 2, 2, 2, 0), (18, 8, 9, 9, 9, 4, 9, 6, 5, 6, 0, 0, 0, 6, 13, 8, 3, 7, 9, 3, 4, 3, 0, 3, 2, 0), (20, 9, 11, 10, 11, 5, 4, 9, 2, 3, 1, 1, 0, 16, 7, 11, 5, 9, 10, 4, 4, 5, 4, 1, 2, 0), (11, 14, 13, 9, 8, 4, 3, 3, 2, 0, 1, 1, 0, 13, 10, 15, 6, 10, 9, 6, 5, 6, 3, 1, 0, 0), (21, 16, 18, 13, 11, 4, 2, 4, 8, 1, 2, 1, 0, 11, 10, 3, 10, 11, 13, 5, 4, 5, 1, 2, 2, 0), (13, 17, 15, 12, 5, 4, 11, 4, 6, 2, 4, 1, 0, 11, 12, 11, 7, 12, 11, 8, 2, 3, 5, 1, 1, 0), (13, 14, 15, 12, 13, 7, 9, 9, 9, 2, 2, 1, 0, 13, 14, 4, 8, 10, 10, 8, 3, 5, 7, 2, 0, 0), (15, 14, 14, 10, 7, 7, 7, 7, 5, 0, 1, 1, 0, 8, 10, 12, 12, 10, 7, 3, 2, 3, 2, 6, 1, 0), (18, 9, 13, 12, 10, 2, 10, 3, 10, 4, 3, 3, 0, 14, 16, 10, 10, 13, 17, 7, 4, 8, 5, 10, 1, 0), (16, 22, 13, 16, 11, 5, 8, 7, 4, 4, 2, 3, 0, 8, 17, 10, 8, 12, 5, 4, 1, 8, 3, 1, 2, 0), (17, 23, 9, 19, 15, 3, 12, 7, 7, 1, 3, 2, 0, 15, 10, 5, 13, 15, 7, 6, 5, 4, 9, 7, 3, 0), (15, 29, 14, 10, 8, 5, 4, 9, 7, 3, 1, 1, 0, 16, 14, 11, 12, 11, 7, 7, 3, 7, 4, 2, 1, 0), (24, 18, 7, 17, 15, 3, 10, 9, 8, 1, 3, 3, 0, 24, 15, 10, 13, 9, 9, 8, 2, 7, 2, 4, 2, 0), (26, 18, 12, 17, 11, 8, 4, 6, 11, 0, 3, 0, 0, 23, 12, 13, 5, 9, 9, 11, 1, 10, 2, 0, 0, 0), (10, 16, 14, 23, 12, 3, 11, 13, 9, 5, 2, 1, 0, 21, 18, 16, 10, 8, 9, 10, 5, 5, 2, 4, 1, 0), (20, 14, 14, 13, 14, 3, 5, 14, 9, 1, 1, 0, 0, 17, 11, 20, 6, 12, 13, 7, 2, 8, 4, 3, 0, 0), (21, 24, 16, 15, 8, 4, 7, 9, 10, 5, 0, 0, 0, 13, 18, 12, 8, 22, 8, 4, 7, 5, 6, 3, 2, 0), (22, 21, 16, 7, 10, 10, 9, 11, 7, 3, 2, 2, 0, 12, 17, 20, 12, 11, 8, 8, 5, 8, 9, 4, 0, 0), (14, 17, 19, 17, 16, 6, 7, 5, 5, 4, 3, 2, 0, 13, 21, 9, 16, 17, 5, 4, 4, 6, 4, 4, 2, 0), (20, 12, 15, 16, 14, 8, 4, 11, 5, 0, 3, 0, 0, 21, 13, 12, 11, 17, 10, 8, 3, 7, 4, 6, 2, 0), (18, 17, 13, 19, 11, 9, 8, 8, 8, 2, 3, 1, 0, 14, 26, 11, 9, 19, 13, 12, 8, 7, 7, 4, 2, 0), (8, 19, 17, 11, 16, 6, 5, 9, 8, 4, 0, 0, 0, 21, 17, 14, 11, 10, 14, 10, 5, 5, 5, 4, 0, 0), (17, 25, 14, 11, 9, 3, 11, 6, 3, 1, 3, 0, 0, 18, 20, 12, 8, 16, 10, 4, 12, 8, 1, 3, 1, 0), (17, 16, 17, 12, 16, 7, 9, 8, 10, 4, 1, 2, 0, 21, 21, 6, 16, 7, 13, 7, 5, 7, 7, 2, 2, 0), (19, 13, 11, 16, 12, 6, 10, 7, 7, 3, 1, 2, 0, 15, 20, 9, 13, 11, 5, 8, 2, 5, 10, 1, 5, 0), (18, 19, 9, 16, 16, 6, 4, 3, 5, 3, 1, 3, 0, 18, 17, 16, 7, 15, 9, 9, 5, 8, 3, 3, 2, 0), (20, 15, 14, 12, 17, 6, 8, 4, 4, 4, 3, 1, 0, 13, 23, 14, 9, 23, 5, 11, 8, 6, 4, 5, 2, 0), (16, 17, 22, 14, 20, 6, 3, 8, 4, 3, 3, 2, 0, 14, 21, 21, 10, 7, 10, 7, 4, 7, 9, 3, 0, 0), (21, 15, 19, 9, 9, 12, 11, 8, 7, 3, 4, 0, 0, 15, 22, 17, 5, 14, 6, 10, 5, 3, 7, 4, 0, 0), (15, 16, 11, 17, 8, 9, 5, 9, 6, 1, 2, 1, 0, 21, 14, 12, 8, 20, 6, 12, 7, 5, 5, 2, 2, 0), (15, 16, 9, 12, 11, 10, 6, 2, 6, 5, 2, 3, 0, 20, 13, 13, 9, 15, 6, 8, 3, 5, 3, 7, 1, 0), (17, 17, 9, 20, 18, 5, 5, 6, 7, 1, 3, 3, 0, 17, 14, 10, 16, 19, 7, 5, 6, 7, 6, 5, 0, 0), (23, 14, 18, 17, 14, 4, 9, 8, 10, 6, 3, 1, 0, 17, 23, 6, 13, 17, 11, 13, 5, 8, 5, 3, 1, 0), (22, 16, 18, 16, 9, 9, 8, 9, 8, 3, 4, 1, 0, 13, 15, 17, 12, 16, 12, 6, 2, 7, 9, 5, 1, 0), (19, 17, 15, 16, 9, 4, 5, 7, 10, 3, 5, 1, 0, 27, 14, 12, 7, 13, 5, 6, 4, 8, 5, 2, 1, 0), (22, 24, 16, 17, 12, 11, 1, 5, 8, 6, 3, 3, 0, 25, 10, 8, 14, 17, 8, 3, 2, 10, 6, 5, 6, 0), (25, 14, 13, 24, 17, 12, 8, 7, 11, 3, 3, 1, 0, 19, 17, 19, 6, 18, 6, 8, 1, 7, 6, 3, 0, 0), (17, 23, 14, 16, 10, 6, 4, 9, 6, 1, 3, 2, 0, 22, 11, 14, 12, 10, 9, 7, 3, 11, 10, 0, 1, 0), (18, 22, 16, 11, 13, 4, 5, 7, 7, 8, 2, 1, 0, 12, 19, 13, 10, 12, 7, 10, 9, 10, 5, 2, 1, 0), (19, 18, 16, 18, 12, 8, 10, 8, 7, 1, 4, 1, 0, 13, 25, 14, 7, 16, 15, 5, 3, 5, 6, 5, 3, 0), (19, 13, 18, 12, 15, 4, 6, 8, 10, 3, 5, 1, 0, 17, 15, 8, 13, 19, 8, 4, 3, 7, 1, 3, 1, 0), (21, 13, 10, 22, 15, 7, 8, 4, 11, 2, 0, 1, 0, 15, 18, 11, 12, 13, 4, 8, 5, 4, 5, 2, 2, 0), (24, 20, 19, 15, 18, 6, 6, 6, 12, 3, 3, 3, 0, 16, 13, 18, 15, 19, 10, 7, 1, 9, 8, 3, 2, 0), (22, 10, 18, 19, 20, 0, 8, 11, 6, 0, 4, 2, 0, 20, 17, 7, 12, 11, 10, 5, 4, 3, 4, 2, 3, 0), (19, 13, 22, 16, 17, 3, 5, 5, 5, 2, 3, 2, 0, 15, 16, 16, 5, 13, 14, 12, 3, 11, 6, 7, 1, 0), (20, 21, 12, 13, 15, 8, 8, 6, 6, 4, 3, 0, 0, 22, 15, 15, 8, 13, 8, 14, 2, 11, 7, 5, 0, 0), (27, 16, 18, 13, 14, 6, 3, 10, 8, 1, 1, 3, 0, 17, 11, 13, 8, 9, 9, 10, 7, 4, 6, 3, 1, 0), (18, 24, 14, 17, 18, 4, 6, 7, 4, 3, 1, 0, 0, 16, 15, 15, 6, 25, 9, 8, 6, 3, 6, 4, 1, 0), (11, 20, 17, 26, 14, 6, 5, 3, 12, 4, 0, 2, 0, 14, 18, 9, 11, 16, 11, 3, 5, 12, 2, 1, 2, 0), (19, 17, 14, 18, 12, 7, 4, 8, 8, 2, 4, 2, 0, 23, 16, 13, 11, 12, 5, 8, 6, 5, 6, 1, 2, 0), (14, 13, 20, 15, 14, 12, 11, 3, 8, 3, 3, 5, 0, 9, 9, 15, 16, 8, 13, 8, 4, 5, 6, 2, 1, 0), (27, 20, 17, 17, 14, 6, 8, 7, 8, 2, 1, 0, 0, 19, 19, 13, 9, 10, 4, 9, 3, 4, 4, 3, 2, 0), (23, 25, 14, 11, 21, 7, 4, 6, 11, 4, 0, 0, 0, 22, 16, 7, 6, 16, 10, 9, 3, 8, 10, 3, 2, 0), (16, 17, 17, 15, 13, 6, 7, 5, 6, 1, 3, 1, 0, 16, 16, 15, 2, 12, 12, 9, 6, 6, 5, 0, 3, 0), (17, 16, 16, 18, 18, 6, 4, 2, 5, 1, 3, 1, 0, 17, 16, 12, 9, 14, 16, 7, 4, 8, 12, 2, 1, 0), (19, 16, 13, 12, 8, 6, 9, 7, 4, 2, 4, 4, 0, 18, 7, 10, 14, 24, 11, 5, 6, 6, 4, 2, 2, 0), (20, 18, 17, 16, 13, 8, 7, 9, 3, 2, 2, 0, 0, 13, 9, 14, 11, 18, 9, 9, 4, 9, 3, 2, 0, 0), (19, 21, 24, 16, 17, 10, 6, 2, 10, 2, 2, 4, 0, 18, 13, 14, 7, 12, 7, 1, 4, 4, 5, 2, 3, 0), (28, 23, 15, 16, 15, 9, 7, 6, 10, 1, 0, 1, 0, 18, 17, 16, 11, 16, 10, 8, 6, 4, 8, 1, 1, 0), (20, 15, 9, 19, 9, 16, 9, 5, 10, 4, 0, 0, 0, 20, 16, 12, 10, 20, 7, 4, 4, 4, 6, 6, 2, 0), (10, 13, 13, 23, 10, 8, 6, 5, 8, 1, 3, 0, 0, 16, 12, 18, 10, 13, 5, 5, 5, 5, 5, 1, 1, 0), (9, 15, 18, 21, 16, 3, 12, 6, 5, 6, 2, 0, 0, 24, 13, 15, 16, 16, 5, 6, 6, 8, 3, 4, 2, 0), (19, 15, 12, 12, 14, 8, 11, 6, 7, 6, 1, 1, 0, 15, 15, 9, 8, 10, 7, 6, 2, 11, 2, 7, 0, 0), (21, 16, 18, 14, 13, 4, 12, 3, 4, 6, 1, 1, 0, 15, 20, 12, 6, 15, 8, 4, 3, 3, 5, 6, 0, 0), (15, 15, 16, 14, 12, 2, 10, 5, 4, 3, 6, 4, 0, 20, 20, 17, 8, 14, 6, 9, 7, 9, 5, 3, 1, 0), (28, 24, 14, 17, 17, 9, 2, 5, 3, 3, 5, 1, 0, 11, 18, 18, 6, 11, 11, 6, 7, 6, 3, 2, 0, 0), (7, 18, 11, 12, 10, 1, 4, 5, 8, 2, 3, 2, 0, 14, 15, 9, 14, 20, 5, 9, 5, 5, 4, 3, 6, 0), (16, 13, 14, 31, 15, 5, 4, 7, 5, 0, 5, 0, 0, 18, 17, 9, 14, 10, 3, 3, 4, 4, 11, 5, 0, 0), (16, 12, 13, 11, 9, 3, 3, 8, 6, 3, 3, 3, 0, 24, 24, 16, 4, 17, 7, 8, 0, 7, 6, 4, 0, 0), (31, 14, 16, 11, 17, 6, 7, 3, 4, 1, 1, 3, 0, 17, 15, 15, 14, 17, 3, 6, 6, 7, 6, 4, 3, 0), (13, 16, 11, 14, 14, 4, 9, 4, 7, 5, 1, 1, 0, 14, 7, 17, 12, 14, 4, 5, 11, 6, 4, 5, 2, 0), (23, 16, 13, 12, 22, 8, 10, 4, 6, 2, 2, 0, 0, 21, 13, 21, 7, 13, 10, 4, 4, 9, 9, 4, 2, 0), (21, 20, 12, 25, 17, 4, 7, 6, 6, 1, 1, 0, 0, 15, 26, 17, 10, 19, 8, 5, 5, 2, 4, 2, 0, 0), (16, 13, 23, 15, 10, 4, 5, 9, 8, 1, 3, 1, 0, 12, 17, 11, 5, 6, 6, 3, 6, 10, 4, 2, 1, 0), (12, 10, 17, 16, 9, 5, 7, 8, 8, 3, 2, 1, 0, 10, 13, 16, 7, 16, 3, 5, 3, 4, 4, 4, 1, 0), (20, 14, 17, 19, 18, 9, 6, 3, 9, 2, 3, 2, 0, 19, 18, 14, 11, 24, 8, 7, 6, 7, 5, 4, 1, 0), (24, 13, 12, 14, 9, 6, 8, 4, 5, 4, 3, 1, 0, 20, 12, 8, 7, 20, 4, 7, 7, 4, 2, 3, 3, 0), (27, 14, 14, 13, 11, 4, 7, 4, 7, 4, 2, 0, 0, 12, 13, 11, 5, 16, 6, 10, 6, 8, 6, 3, 2, 0), (19, 14, 16, 17, 17, 8, 3, 8, 8, 1, 4, 2, 0, 29, 16, 17, 15, 16, 12, 3, 5, 10, 1, 9, 0, 0), (20, 15, 12, 21, 15, 4, 10, 7, 11, 4, 1, 2, 0, 16, 16, 7, 4, 13, 7, 5, 5, 6, 3, 5, 3, 0), (12, 12, 10, 10, 6, 11, 4, 7, 10, 3, 2, 0, 0, 11, 14, 10, 9, 18, 7, 6, 1, 5, 4, 2, 0, 0), (21, 15, 14, 14, 7, 7, 4, 5, 7, 1, 3, 1, 0, 20, 12, 9, 10, 17, 7, 7, 5, 8, 8, 4, 1, 0), (16, 10, 18, 18, 9, 2, 5, 7, 6, 2, 1, 2, 0, 14, 10, 10, 9, 16, 4, 5, 2, 7, 5, 1, 1, 0), (17, 17, 24, 18, 17, 6, 5, 6, 6, 2, 2, 0, 0, 15, 20, 10, 4, 14, 7, 5, 6, 8, 5, 4, 2, 0), (20, 13, 19, 18, 13, 5, 5, 3, 8, 3, 2, 0, 0, 17, 19, 10, 6, 10, 7, 6, 7, 5, 2, 2, 2, 0), (12, 14, 19, 13, 16, 7, 8, 1, 9, 4, 0, 1, 0, 19, 11, 11, 4, 13, 9, 3, 4, 2, 4, 1, 1, 0), (22, 10, 19, 25, 16, 3, 7, 6, 10, 3, 0, 0, 0, 21, 18, 10, 11, 17, 5, 4, 2, 11, 5, 3, 2, 0), (26, 12, 14, 15, 14, 3, 6, 7, 12, 4, 1, 0, 0, 18, 19, 11, 7, 14, 7, 3, 3, 9, 4, 4, 3, 0), (17, 15, 14, 22, 15, 5, 3, 5, 12, 1, 2, 0, 0, 17, 11, 9, 8, 18, 5, 6, 4, 5, 4, 3, 1, 0), (20, 16, 6, 18, 6, 11, 5, 5, 7, 5, 4, 0, 0, 21, 16, 9, 4, 11, 7, 5, 2, 9, 9, 1, 3, 0), (16, 15, 25, 20, 9, 6, 12, 0, 7, 4, 0, 1, 0, 19, 11, 8, 15, 6, 6, 9, 6, 7, 5, 3, 2, 0), (25, 12, 16, 15, 26, 5, 5, 3, 11, 3, 4, 1, 0, 23, 10, 11, 8, 8, 14, 6, 3, 6, 5, 3, 4, 0), (19, 15, 12, 18, 15, 4, 5, 6, 8, 2, 1, 2, 0, 20, 9, 5, 9, 9, 9, 5, 3, 5, 3, 7, 0, 0), (13, 10, 10, 12, 15, 7, 2, 8, 4, 1, 6, 2, 0, 11, 10, 10, 8, 12, 8, 3, 2, 8, 5, 3, 3, 0), (24, 12, 13, 17, 11, 4, 11, 6, 8, 5, 0, 2, 0, 14, 12, 7, 8, 16, 4, 8, 2, 11, 8, 1, 1, 0), (17, 13, 15, 20, 20, 8, 4, 1, 8, 2, 2, 4, 0, 18, 18, 12, 5, 19, 7, 5, 5, 7, 5, 5, 0, 0), (14, 13, 12, 15, 13, 14, 4, 3, 5, 2, 2, 1, 0, 18, 13, 11, 6, 13, 1, 9, 6, 7, 2, 6, 3, 0), (20, 7, 14, 13, 14, 13, 6, 3, 7, 4, 4, 0, 0, 15, 18, 10, 4, 14, 7, 7, 11, 4, 4, 0, 2, 0), (17, 15, 17, 14, 7, 3, 6, 5, 10, 0, 3, 1, 0, 13, 12, 13, 11, 18, 6, 7, 3, 5, 4, 1, 1, 0), (20, 18, 10, 15, 14, 7, 6, 3, 1, 1, 1, 1, 0, 19, 16, 11, 14, 16, 12, 6, 7, 6, 5, 2, 2, 0), (13, 11, 20, 12, 14, 5, 3, 8, 4, 4, 2, 0, 0, 13, 18, 11, 13, 12, 7, 4, 5, 10, 3, 4, 2, 0), (13, 13, 11, 17, 9, 7, 5, 3, 5, 4, 0, 1, 0, 16, 13, 11, 8, 12, 9, 4, 5, 6, 4, 3, 0, 0), (13, 14, 9, 18, 11, 1, 6, 8, 7, 1, 1, 2, 0, 17, 13, 4, 6, 14, 4, 8, 4, 11, 9, 2, 0, 0), (11, 18, 8, 16, 10, 6, 4, 5, 2, 3, 0, 2, 0, 18, 11, 7, 6, 14, 7, 7, 4, 11, 8, 2, 2, 0), (9, 11, 16, 12, 11, 9, 5, 3, 3, 4, 1, 0, 0, 19, 12, 14, 6, 8, 7, 8, 7, 5, 2, 3, 1, 0), (12, 14, 18, 17, 18, 5, 8, 3, 9, 1, 2, 3, 0, 27, 15, 11, 7, 10, 7, 1, 5, 8, 8, 7, 1, 0), (20, 20, 21, 19, 16, 5, 5, 8, 13, 5, 3, 2, 0, 20, 15, 13, 6, 21, 5, 6, 1, 5, 3, 2, 0, 0), (21, 19, 16, 7, 12, 6, 4, 5, 13, 3, 3, 0, 0, 14, 9, 8, 10, 13, 3, 6, 3, 5, 5, 5, 2, 0), (14, 14, 15, 19, 14, 3, 5, 4, 7, 5, 4, 2, 0, 17, 16, 13, 6, 12, 6, 6, 5, 2, 5, 3, 1, 0), (15, 13, 10, 11, 9, 6, 3, 6, 8, 2, 1, 2, 0, 13, 19, 14, 4, 9, 2, 5, 1, 5, 11, 2, 2, 0), (21, 15, 17, 18, 6, 6, 2, 6, 8, 4, 3, 2, 0, 12, 13, 12, 11, 12, 13, 7, 4, 10, 3, 4, 1, 0), (15, 12, 10, 11, 16, 5, 8, 1, 6, 1, 3, 1, 0, 15, 15, 11, 13, 16, 10, 7, 9, 3, 4, 4, 1, 0), (17, 19, 11, 11, 16, 8, 5, 8, 4, 2, 3, 2, 0, 16, 18, 16, 4, 12, 1, 4, 7, 7, 5, 2, 0, 0), (19, 12, 8, 12, 14, 6, 6, 3, 5, 5, 3, 1, 0, 19, 11, 10, 7, 14, 6, 9, 3, 10, 2, 2, 0, 0), (20, 13, 12, 18, 15, 6, 9, 5, 7, 0, 2, 3, 0, 26, 21, 12, 5, 10, 8, 3, 7, 8, 7, 4, 0, 0), (15, 10, 10, 17, 13, 5, 7, 4, 3, 2, 0, 1, 0, 9, 14, 10, 4, 12, 7, 6, 2, 7, 4, 2, 0, 0), (17, 14, 11, 16, 10, 4, 3, 5, 11, 3, 0, 2, 0, 14, 15, 4, 10, 9, 6, 6, 1, 6, 9, 1, 2, 0), (17, 4, 17, 19, 10, 9, 5, 3, 10, 3, 1, 0, 0, 25, 13, 9, 9, 12, 8, 3, 4, 4, 9, 4, 1, 0), (19, 13, 12, 12, 20, 7, 3, 1, 6, 5, 2, 1, 0, 10, 15, 13, 7, 13, 5, 6, 4, 3, 4, 0, 2, 0), (16, 13, 12, 16, 12, 4, 3, 4, 8, 6, 2, 1, 0, 10, 10, 7, 4, 15, 9, 3, 2, 5, 6, 2, 2, 0), (19, 9, 10, 13, 12, 5, 2, 3, 6, 2, 4, 1, 0, 10, 13, 7, 8, 22, 1, 3, 6, 3, 3, 2, 0, 0), (21, 18, 15, 14, 15, 4, 4, 6, 6, 1, 2, 0, 0, 12, 11, 10, 9, 20, 3, 2, 6, 11, 7, 2, 0, 0), (10, 18, 13, 17, 16, 3, 6, 2, 11, 1, 1, 1, 0, 14, 15, 10, 10, 21, 8, 8, 6, 7, 8, 4, 4, 0), (13, 8, 11, 10, 9, 7, 3, 5, 9, 3, 4, 2, 0, 12, 10, 8, 12, 9, 7, 6, 6, 6, 5, 2, 0, 0), (16, 7, 9, 17, 12, 3, 10, 9, 5, 1, 1, 6, 0, 10, 17, 9, 8, 13, 5, 9, 4, 4, 5, 5, 1, 0), (20, 9, 12, 13, 12, 7, 5, 3, 5, 4, 4, 1, 0, 19, 17, 13, 5, 11, 10, 2, 3, 11, 10, 1, 2, 0), (11, 18, 15, 14, 13, 5, 8, 7, 5, 3, 1, 1, 0, 17, 20, 9, 9, 15, 11, 7, 5, 3, 3, 5, 1, 0), (19, 18, 13, 12, 11, 6, 5, 5, 8, 3, 2, 1, 0, 16, 13, 7, 9, 11, 11, 6, 7, 7, 1, 2, 2, 0), (13, 13, 18, 11, 11, 6, 7, 4, 8, 3, 0, 0, 0, 21, 15, 4, 9, 19, 3, 3, 5, 3, 6, 1, 2, 0), (13, 7, 8, 16, 15, 4, 5, 10, 10, 4, 2, 1, 0, 7, 13, 14, 5, 6, 4, 3, 3, 4, 5, 4, 2, 0), (21, 12, 17, 15, 10, 5, 5, 6, 6, 2, 0, 3, 0, 17, 9, 13, 10, 9, 3, 5, 3, 4, 2, 0, 1, 0), (17, 16, 11, 19, 11, 8, 3, 2, 9, 3, 3, 2, 0, 10, 12, 8, 3, 11, 6, 6, 2, 10, 6, 0, 0, 0), (17, 6, 17, 10, 9, 6, 3, 7, 7, 2, 2, 0, 0, 9, 12, 8, 7, 10, 10, 2, 4, 5, 4, 1, 2, 0), (22, 6, 7, 22, 14, 10, 3, 6, 1, 2, 3, 0, 0, 16, 5, 8, 5, 8, 10, 3, 5, 3, 11, 1, 0, 0), (10, 9, 13, 10, 13, 5, 10, 7, 5, 2, 6, 2, 0, 20, 17, 11, 2, 18, 6, 7, 5, 4, 2, 2, 1, 0), (12, 9, 14, 23, 14, 8, 7, 3, 7, 5, 1, 0, 0, 15, 13, 10, 7, 7, 3, 9, 4, 4, 0, 3, 2, 0), (22, 12, 10, 8, 11, 7, 2, 0, 6, 1, 1, 0, 0, 17, 9, 5, 8, 12, 4, 3, 3, 7, 4, 4, 1, 0), (19, 11, 10, 10, 8, 8, 4, 6, 5, 4, 1, 0, 0, 18, 15, 6, 6, 8, 2, 3, 2, 11, 4, 4, 1, 0), (20, 12, 14, 12, 10, 5, 6, 2, 6, 1, 1, 2, 0, 15, 19, 10, 9, 17, 5, 5, 7, 4, 3, 1, 1, 0), (11, 13, 13, 9, 10, 5, 6, 5, 7, 2, 2, 0, 0, 18, 14, 7, 9, 16, 9, 7, 3, 7, 2, 3, 1, 0), (12, 10, 12, 10, 16, 4, 5, 3, 9, 2, 3, 3, 0, 17, 13, 12, 10, 15, 3, 6, 9, 6, 8, 1, 0, 0), (15, 11, 12, 10, 11, 4, 7, 7, 5, 1, 1, 0, 0, 18, 13, 8, 3, 21, 3, 6, 8, 1, 5, 4, 2, 0), (15, 14, 12, 8, 7, 2, 1, 8, 5, 1, 4, 1, 0, 14, 15, 8, 4, 13, 9, 6, 8, 9, 3, 2, 0, 0), (16, 7, 14, 9, 12, 10, 7, 0, 3, 3, 1, 0, 0, 22, 7, 4, 8, 14, 5, 4, 5, 8, 7, 6, 2, 0), (14, 8, 16, 18, 8, 4, 4, 2, 8, 1, 2, 2, 0, 15, 12, 8, 10, 9, 4, 6, 5, 9, 7, 3, 0, 0), (14, 8, 19, 13, 10, 8, 7, 6, 7, 2, 4, 0, 0, 17, 7, 9, 8, 14, 8, 3, 5, 5, 3, 2, 2, 0), (13, 10, 5, 19, 15, 8, 3, 5, 10, 3, 3, 0, 0, 10, 13, 7, 8, 13, 5, 0, 4, 2, 2, 5, 1, 0), (17, 10, 7, 10, 14, 6, 5, 7, 5, 3, 4, 1, 0, 13, 12, 5, 9, 12, 7, 4, 5, 4, 2, 3, 0, 0), (17, 9, 17, 17, 17, 12, 2, 4, 5, 3, 2, 2, 0, 16, 17, 7, 7, 18, 1, 2, 4, 4, 4, 3, 1, 0), (14, 7, 6, 11, 12, 4, 4, 7, 7, 1, 0, 1, 0, 13, 13, 8, 6, 16, 8, 3, 2, 5, 6, 3, 1, 0), (15, 9, 15, 8, 12, 2, 2, 3, 6, 0, 3, 3, 0, 17, 17, 6, 5, 11, 10, 6, 5, 8, 3, 2, 0, 0), (9, 12, 8, 17, 6, 4, 3, 4, 2, 3, 0, 1, 0, 13, 15, 6, 9, 13, 4, 5, 2, 3, 5, 2, 0, 0), (19, 11, 17, 10, 6, 7, 7, 5, 6, 1, 3, 2, 0, 10, 16, 8, 10, 15, 2, 3, 1, 6, 2, 1, 1, 0), (8, 7, 11, 13, 12, 4, 6, 2, 9, 2, 0, 1, 0, 12, 17, 5, 6, 8, 5, 2, 5, 6, 4, 1, 2, 0), (17, 14, 14, 12, 11, 4, 5, 0, 8, 4, 4, 2, 0, 15, 13, 8, 10, 15, 3, 6, 1, 11, 6, 3, 0, 0), (12, 9, 17, 10, 7, 3, 5, 3, 7, 0, 3, 2, 0, 16, 9, 7, 9, 8, 4, 1, 7, 3, 3, 2, 0, 0), (10, 9, 15, 21, 14, 7, 2, 6, 4, 2, 1, 1, 0, 11, 19, 10, 9, 19, 3, 3, 1, 8, 1, 3, 0, 0), (10, 12, 11, 11, 13, 4, 5, 5, 9, 3, 0, 0, 0, 13, 10, 9, 3, 12, 5, 3, 6, 2, 6, 1, 1, 0), (13, 17, 16, 17, 4, 5, 4, 6, 6, 2, 1, 0, 0, 11, 11, 5, 10, 15, 7, 10, 2, 3, 6, 6, 2, 0), (10, 7, 11, 6, 8, 9, 4, 8, 3, 1, 3, 5, 0, 15, 10, 8, 5, 12, 5, 4, 2, 0, 1, 1, 0, 0), (20, 12, 6, 11, 11, 6, 6, 10, 12, 5, 4, 2, 0, 21, 7, 10, 10, 8, 4, 7, 4, 4, 3, 3, 1, 0), (13, 6, 9, 7, 15, 6, 2, 6, 5, 3, 0, 1, 0, 11, 8, 11, 11, 13, 8, 2, 5, 5, 1, 2, 0, 0), (16, 11, 14, 11, 13, 2, 4, 2, 5, 2, 1, 0, 0, 9, 11, 4, 10, 13, 3, 4, 4, 4, 2, 3, 1, 0), (18, 9, 12, 7, 15, 4, 5, 4, 8, 0, 1, 1, 0, 9, 8, 9, 4, 10, 4, 1, 3, 14, 6, 1, 0, 0), (14, 3, 8, 10, 7, 6, 2, 3, 4, 1, 0, 1, 0, 15, 3, 8, 13, 7, 3, 7, 6, 8, 2, 1, 1, 0), (14, 8, 7, 12, 7, 8, 1, 1, 2, 0, 3, 3, 0, 17, 8, 1, 6, 11, 4, 2, 0, 3, 0, 2, 0, 0), (12, 11, 7, 10, 13, 2, 2, 3, 6, 3, 1, 0, 0, 11, 11, 14, 4, 8, 4, 1, 4, 5, 5, 0, 1, 0), (6, 11, 8, 11, 12, 6, 2, 1, 6, 0, 1, 0, 0, 12, 9, 5, 6, 11, 6, 2, 4, 3, 2, 3, 0, 0), (6, 6, 12, 10, 10, 5, 1, 1, 3, 1, 1, 1, 0, 12, 11, 2, 3, 4, 1, 2, 3, 3, 3, 1, 0, 0), (10, 6, 12, 15, 9, 4, 5, 3, 1, 3, 2, 0, 0, 13, 6, 4, 5, 11, 6, 1, 3, 2, 4, 1, 0, 0), (9, 6, 9, 5, 10, 2, 3, 3, 9, 1, 2, 0, 0, 13, 8, 4, 2, 8, 7, 1, 2, 2, 7, 0, 2, 0), (9, 5, 7, 11, 10, 4, 2, 2, 3, 2, 0, 1, 0, 11, 5, 6, 1, 6, 8, 3, 0, 6, 4, 0, 0, 0), (11, 4, 5, 12, 11, 0, 4, 2, 5, 0, 0, 0, 0, 9, 4, 5, 4, 6, 4, 2, 3, 2, 2, 0, 0, 0), (6, 7, 8, 11, 3, 5, 2, 4, 2, 2, 2, 0, 0, 15, 4, 5, 2, 7, 1, 4, 4, 2, 2, 4, 0, 0), (6, 3, 7, 6, 3, 3, 1, 0, 3, 2, 0, 1, 0, 4, 5, 4, 8, 10, 4, 0, 3, 4, 2, 1, 0, 0), (9, 2, 6, 5, 2, 2, 2, 2, 2, 0, 0, 2, 0, 7, 6, 8, 0, 5, 1, 1, 4, 3, 3, 1, 1, 0), (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0))
station_arriving_intensity = ((9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), (9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), (10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), (10.830164027663812, 11.904876903485604, 11.228419564775738, 13.391237533557733, 11.974791016803424, 6.763213120653203, 8.93160655496632, 10.021142083490112, 13.122243289657968, 8.526208857167125, 9.061827141289289, 10.55283423287483, 10.955291051257605), (11.417645067148767, 12.545865358714394, 11.833007219465467, 14.112519554488625, 12.621860286833686, 7.127516173317602, 9.412098603315226, 10.559397350150848, 13.828863682048873, 8.984800614901822, 9.550033442263036, 11.120937106238575, 11.54553953929167), (11.996212893630318, 13.176463994898459, 12.427792080754532, 14.822104834296708, 13.258745850058704, 7.485908342564186, 9.884804246505404, 11.088913983344266, 14.524018412366805, 9.435963250653593, 10.030324547784838, 11.679828133021466, 12.126213647339089), (12.5635358661204, 13.794078133646101, 13.010327151342958, 15.517074276089375, 13.882852393696878, 7.836915606841555, 10.347778271666273, 11.60751472020448, 15.204848463426268, 9.877839946834966, 10.500724434920908, 12.227208052458254, 12.694924867859292), (13.117282343630944, 14.396113096565637, 13.578165433930742, 16.194508782974033, 14.491584604966597, 8.179063944598298, 10.799075465927253, 12.113022297865593, 15.868494818041759, 10.308573885858456, 10.959257080737483, 12.760777603783673, 13.249284693311735), (13.655120685173882, 14.979974205265378, 14.128859931217914, 16.85148925805807, 15.082347171086255, 8.510879334283002, 11.236750616417757, 12.603259453461705, 16.512098459027772, 10.726308250136594, 11.403946462300778, 13.278237526232465, 13.786904616155851), (14.174719249761154, 15.543066781353641, 14.659963645904467, 17.485096604448906, 15.652544779274237, 8.830887754344271, 11.658858510267216, 13.076048924126933, 17.132800369198815, 11.129186222081895, 11.83281655667702, 13.777288559039365, 14.305396128851092), (14.673746396404677, 16.082796146438728, 15.169029580690424, 18.092411725253918, 16.199582116748942, 9.137615183230693, 12.063453934605038, 13.52921344699538, 17.727741531369386, 11.515350984106886, 12.243891340932432, 14.255631441439114, 14.802370723856898), (15.149870484116411, 16.596567622128973, 15.653610738275788, 18.670515523580516, 16.72086387072876, 9.429587599390864, 12.44859167656065, 13.960575759201147, 18.294062928353988, 11.882945718624095, 12.635194792133248, 14.710966912666459, 15.2754398936327), (15.600759871908263, 17.081786530032655, 16.111260121360573, 19.216488902536103, 17.21379472843208, 9.705330981273365, 12.812326523263462, 14.367958597878339, 18.82890554296712, 12.23011360804603, 13.004750887345683, 15.140995711956123, 15.722215130637963), (16.02408291879218, 17.535858191758116, 16.539530732644792, 19.727412765228078, 17.675779377077284, 9.963371307326803, 13.152713261842901, 14.749184700161067, 19.329410358023278, 12.554997834785228, 13.350583603635965, 15.543418578542857, 16.140307927332124), (16.41750798378009, 17.95618792891366, 16.935975574828465, 20.20036801476383, 18.10422250388278, 10.202234555999762, 13.46780667942839, 15.102076803183444, 19.79271835633696, 12.855741581254202, 13.670716918070312, 15.915936251661408, 16.527329776174614), (16.77870342588394, 18.34018106310759, 17.298147650611575, 20.632435554250776, 18.496528796066954, 10.420446705740842, 13.755661563149326, 15.424457644079562, 20.215970520722674, 13.130488029865482, 13.963174807714955, 16.256249470546507, 16.880892169624886), (17.10533760411564, 18.685242915948237, 17.623599962694165, 21.02069628679629, 18.8501029408482, 10.616533734998628, 14.014332700135158, 15.71414995998353, 20.596307833994917, 13.377380363031593, 14.225981249636122, 16.56205897443289, 17.198606600142384), (17.395078877487137, 18.988778809043904, 17.909885513776235, 21.362231115507804, 19.162349625444907, 10.789021622221714, 14.24187487751528, 15.968976488029472, 20.930871278968173, 13.594561763165041, 14.457160220900038, 16.8310655025553, 17.47808456018655), (17.645595605010367, 19.248194064002895, 18.154557306557784, 21.654120943492703, 19.43067353707546, 10.936436345858706, 14.436342882419133, 16.18675996535147, 21.216801838456973, 13.780175412678366, 14.654735698572916, 17.060969794148487, 17.716937542216822), (17.85455614569726, 19.46089400243354, 18.355168343738843, 21.893446673858367, 19.65247936295826, 11.057303884358175, 14.59579150197611, 16.36532312908364, 21.4512404952758, 13.93236449398409, 14.81673165972098, 17.249472588447173, 17.912777038692653), (18.01962885855975, 19.624283945944132, 18.509271628019405, 22.077289209712237, 19.8251717903117, 11.150150216168733, 14.718275523315652, 16.50248871636009, 21.631328232239156, 14.049272189494726, 14.94117208141047, 17.394274624686105, 18.063214542073485), (18.13848210260976, 19.735769216143005, 18.614420162099496, 22.202729454161673, 19.94615550635416, 11.213501319738963, 14.801849733567167, 16.596079464314922, 21.754206032161537, 14.1290416816228, 15.026080940707608, 17.49307664210003, 18.165861544818743), (18.20878423685924, 19.792755134638462, 18.668166948679115, 22.266848310314106, 20.012835198304035, 11.245883173517461, 14.844568919860079, 16.643918110082247, 21.81701487785745, 14.169816152780836, 15.069482214678613, 17.54357937992368, 18.218329539387888), (18.23470805401675, 19.799502469135803, 18.674861728395065, 22.274875462962967, 20.029917700858675, 11.25, 14.84964720406681, 16.64908888888889, 21.824867222222224, 14.17462609053498, 15.074924466891131, 17.549815637860082, 18.225), (18.253822343461476, 19.79556666666667, 18.673766666666666, 22.273887500000004, 20.039593704506736, 11.25, 14.8468568627451, 16.6419, 21.823815, 14.17167111111111, 15.074324242424245, 17.548355555555556, 18.225), (18.272533014380844, 19.78780864197531, 18.671604938271606, 22.27193287037037, 20.049056902070106, 11.25, 14.841358024691358, 16.62777777777778, 21.82173611111111, 14.16585390946502, 15.073134118967452, 17.545473251028806, 18.225), (18.290838634286462, 19.776346913580248, 18.668406172839507, 22.269033796296295, 20.05830696315799, 11.25, 14.833236092955698, 16.60698888888889, 21.81865722222222, 14.157271275720165, 15.07136487093154, 17.54120823045268, 18.225), (18.308737770689945, 19.7613, 18.6642, 22.265212499999997, 20.067343557379587, 11.25, 14.822576470588237, 16.579800000000002, 21.814605, 14.146019999999998, 15.069027272727272, 17.535600000000002, 18.225), (18.3262289911029, 19.742786419753084, 18.659016049382718, 22.260491203703705, 20.076166354344124, 11.25, 14.809464560639071, 16.54647777777778, 21.809606111111112, 14.132196872427985, 15.066132098765433, 17.528688065843625, 18.225), (18.34331086303695, 19.720924691358025, 18.652883950617287, 22.25489212962963, 20.084775023660796, 11.25, 14.793985766158318, 16.507288888888887, 21.803687222222223, 14.115898683127574, 15.06269012345679, 17.520511934156378, 18.225), (18.359981954003697, 19.695833333333333, 18.645833333333332, 22.2484375, 20.093169234938827, 11.25, 14.776225490196078, 16.4625, 21.796875, 14.097222222222223, 15.058712121212121, 17.51111111111111, 18.225), (18.376240831514746, 19.667630864197534, 18.637893827160497, 22.241149537037035, 20.101348657787415, 11.25, 14.756269135802471, 16.412377777777778, 21.78919611111111, 14.07626427983539, 15.054208866442199, 17.500525102880662, 18.225), (18.392086063081717, 19.636435802469137, 18.629095061728393, 22.233050462962964, 20.10931296181577, 11.25, 14.734202106027599, 16.357188888888892, 21.780677222222224, 14.053121646090535, 15.0491911335578, 17.48879341563786, 18.225), (18.407516216216216, 19.602366666666665, 18.619466666666668, 22.2241625, 20.117061816633115, 11.25, 14.710109803921569, 16.2972, 21.771345, 14.027891111111112, 15.043669696969696, 17.475955555555554, 18.225), (18.422529858429858, 19.56554197530864, 18.609038271604938, 22.21450787037037, 20.12459489184864, 11.25, 14.684077632534496, 16.232677777777777, 21.761226111111114, 14.000669465020577, 15.037655331088663, 17.462051028806584, 18.225), (18.437125557234253, 19.52608024691358, 18.597839506172843, 22.204108796296293, 20.131911857071568, 11.25, 14.656190994916486, 16.163888888888888, 21.750347222222224, 13.971553497942386, 15.031158810325476, 17.447119341563788, 18.225), (18.45130188014101, 19.484099999999998, 18.5859, 22.192987499999997, 20.139012381911105, 11.25, 14.626535294117646, 16.0911, 21.738735, 13.94064, 15.024190909090908, 17.431200000000004, 18.225), (18.46505739466174, 19.43971975308642, 18.57324938271605, 22.181166203703704, 20.145896135976457, 11.25, 14.595195933188089, 16.014577777777777, 21.72641611111111, 13.908025761316873, 15.016762401795738, 17.414332510288066, 18.225), (18.47839066830806, 19.39305802469136, 18.559917283950615, 22.168667129629632, 20.152562788876843, 11.25, 14.562258315177923, 15.934588888888891, 21.713417222222223, 13.873807572016462, 15.00888406285073, 17.396556378600824, 18.225), (18.491300268591576, 19.34423333333333, 18.545933333333334, 22.1555125, 20.159012010221467, 11.25, 14.527807843137257, 15.8514, 21.699765000000003, 13.838082222222223, 15.000566666666668, 17.37791111111111, 18.225), (18.503784763023894, 19.293364197530863, 18.531327160493827, 22.14172453703704, 20.165243469619533, 11.25, 14.491929920116196, 15.765277777777781, 21.685486111111114, 13.800946502057615, 14.99182098765432, 17.358436213991773, 18.225), (18.51584271911663, 19.24056913580247, 18.51612839506173, 22.127325462962965, 20.171256836680264, 11.25, 14.454709949164851, 15.67648888888889, 21.67060722222222, 13.76249720164609, 14.982657800224468, 17.338171193415636, 18.225), (18.527472704381402, 19.18596666666667, 18.500366666666668, 22.112337500000002, 20.177051781012857, 11.25, 14.416233333333333, 15.5853, 21.655155000000004, 13.72283111111111, 14.97308787878788, 17.317155555555555, 18.225), (18.538673286329807, 19.12967530864198, 18.484071604938272, 22.096782870370372, 20.182627972226527, 11.25, 14.37658547567175, 15.491977777777779, 21.63915611111111, 13.682045020576133, 14.96312199775533, 17.295428806584365, 18.225), (18.54944303247347, 19.071813580246914, 18.467272839506176, 22.0806837962963, 20.18798507993048, 11.25, 14.335851779230211, 15.396788888888892, 21.62263722222222, 13.64023572016461, 14.952770931537597, 17.2730304526749, 18.225), (18.55978051032399, 19.0125, 18.45, 22.064062500000002, 20.193122773733933, 11.25, 14.294117647058824, 15.3, 21.605625, 13.597500000000002, 14.942045454545454, 17.25, 18.225), (18.569684287392985, 18.951853086419753, 18.432282716049382, 22.046941203703703, 20.198040723246088, 11.25, 14.251468482207699, 15.20187777777778, 21.588146111111108, 13.553934650205761, 14.930956341189674, 17.226376954732512, 18.225), (18.579152931192063, 18.88999135802469, 18.41415061728395, 22.02934212962963, 20.202738598076163, 11.25, 14.207989687726945, 15.102688888888888, 21.570227222222226, 13.50963646090535, 14.919514365881032, 17.20220082304527, 18.225), (18.588185009232834, 18.827033333333333, 18.395633333333333, 22.0112875, 20.20721606783336, 11.25, 14.163766666666668, 15.0027, 21.551895000000002, 13.464702222222222, 14.907730303030302, 17.177511111111112, 18.225), (18.596779089026917, 18.763097530864197, 18.376760493827163, 21.99279953703704, 20.211472802126895, 11.25, 14.118884822076978, 14.902177777777778, 21.53317611111111, 13.419228724279836, 14.895614927048262, 17.152347325102884, 18.225), (18.604933738085908, 18.698302469135808, 18.357561728395066, 21.973900462962963, 20.21550847056597, 11.25, 14.073429557007989, 14.801388888888889, 21.514097222222222, 13.373312757201646, 14.883179012345678, 17.126748971193418, 18.225), (18.61264752392144, 18.63276666666667, 18.338066666666666, 21.9546125, 20.219322742759797, 11.25, 14.027486274509805, 14.7006, 21.494685000000004, 13.32705111111111, 14.870433333333335, 17.10075555555556, 18.225), (18.619919014045102, 18.56660864197531, 18.318304938271606, 21.934957870370372, 20.222915288317584, 11.25, 13.981140377632535, 14.600077777777777, 21.47496611111111, 13.280540576131688, 14.857388664421999, 17.074406584362144, 18.225), (18.626746775968517, 18.49994691358025, 18.29830617283951, 21.914958796296297, 20.226285776848552, 11.25, 13.93447726942629, 14.50008888888889, 21.454967222222226, 13.233877942386831, 14.844055780022448, 17.04774156378601, 18.225), (18.63312937720329, 18.432900000000004, 18.2781, 21.8946375, 20.229433877961906, 11.25, 13.887582352941177, 14.400899999999998, 21.434715, 13.18716, 14.830445454545453, 17.0208, 18.225), (18.63906538526104, 18.365586419753086, 18.25771604938272, 21.874016203703704, 20.232359261266843, 11.25, 13.840541031227307, 14.302777777777777, 21.414236111111112, 13.140483539094651, 14.816568462401795, 16.993621399176956, 18.225), (18.64455336765337, 18.298124691358026, 18.237183950617286, 21.85311712962963, 20.235061596372585, 11.25, 13.793438707334786, 14.20598888888889, 21.393557222222224, 13.09394534979424, 14.802435578002246, 16.96624526748971, 18.225), (18.649591891891887, 18.230633333333333, 18.216533333333334, 21.8319625, 20.23754055288834, 11.25, 13.746360784313726, 14.110800000000001, 21.372705, 13.047642222222223, 14.788057575757577, 16.93871111111111, 18.225), (18.654179525488225, 18.163230864197534, 18.195793827160493, 21.810574537037034, 20.239795800423316, 11.25, 13.699392665214235, 14.017477777777778, 21.35170611111111, 13.001670946502058, 14.773445230078567, 16.91105843621399, 18.225), (18.658314835953966, 18.096035802469135, 18.174995061728396, 21.788975462962963, 20.24182700858672, 11.25, 13.65261975308642, 13.92628888888889, 21.330587222222224, 12.956128312757203, 14.758609315375981, 16.883326748971193, 18.225), (18.661996390800738, 18.02916666666667, 18.154166666666665, 21.767187500000002, 20.243633846987766, 11.25, 13.606127450980392, 13.8375, 21.309375000000003, 12.911111111111111, 14.743560606060607, 16.855555555555558, 18.225), (18.665222757540146, 17.962741975308646, 18.13333827160494, 21.74523287037037, 20.24521598523566, 11.25, 13.560001161946259, 13.751377777777778, 21.288096111111113, 12.866716131687244, 14.728309876543209, 16.82778436213992, 18.225), (18.66799250368381, 17.89688024691358, 18.112539506172844, 21.7231337962963, 20.246573092939624, 11.25, 13.514326289034132, 13.66818888888889, 21.266777222222224, 12.823040164609054, 14.712867901234567, 16.80005267489712, 18.225), (18.670304196743327, 17.831699999999998, 18.0918, 21.7009125, 20.24770483970884, 11.25, 13.469188235294117, 13.5882, 21.245445, 12.78018, 14.697245454545456, 16.7724, 18.225), (18.672156404230314, 17.767319753086422, 18.071149382716047, 21.678591203703704, 20.24861089515255, 11.25, 13.424672403776325, 13.511677777777779, 21.22412611111111, 12.738232427983538, 14.681453310886642, 16.7448658436214, 18.225), (18.67354769365639, 17.703858024691357, 18.05061728395062, 21.65619212962963, 20.24929092887994, 11.25, 13.380864197530865, 13.438888888888888, 21.202847222222225, 12.697294238683126, 14.665502244668913, 16.717489711934153, 18.225), (18.674476632533153, 17.641433333333335, 18.030233333333335, 21.6337375, 20.249744610500233, 11.25, 13.337849019607843, 13.3701, 21.181635000000004, 12.657462222222222, 14.649403030303029, 16.690311111111114, 18.225), (18.674941788372227, 17.580164197530863, 18.010027160493827, 21.611249537037036, 20.249971609622634, 11.25, 13.29571227305737, 13.30557777777778, 21.16051611111111, 12.618833168724281, 14.633166442199778, 16.6633695473251, 18.225), (18.674624906065485, 17.519847550776582, 17.989930709876543, 21.588555132850242, 20.249780319535223, 11.24979122085048, 13.254327350693364, 13.245018930041153, 21.13935812757202, 12.5813167949649, 14.616514779372677, 16.636554039419536, 18.22477527006173), (18.671655072463768, 17.458641935483872, 17.969379166666666, 21.564510326086953, 20.248039215686273, 11.248140740740741, 13.212482726423904, 13.185177777777778, 21.11723611111111, 12.543851503267971, 14.597753110047847, 16.608994152046783, 18.222994791666668), (18.665794417606012, 17.39626642771804, 17.948283179012343, 21.538956823671498, 20.244598765432098, 11.244890260631001, 13.169988242210465, 13.125514403292183, 21.09402520576132, 12.506255144032922, 14.576667995746943, 16.580560970327056, 18.219478202160495), (18.657125389157272, 17.332758303464754, 17.92665015432099, 21.51193230676329, 20.239502541757446, 11.240092455418381, 13.12686298717018, 13.066048559670783, 21.06975997942387, 12.46852864681675, 14.553337267410951, 16.551275286982886, 18.21427179783951), (18.64573043478261, 17.268154838709677, 17.9044875, 21.48347445652174, 20.23279411764706, 11.2338, 13.083126050420168, 13.0068, 21.044475000000002, 12.43067294117647, 14.527838755980863, 16.52115789473684, 18.207421875), (18.631692002147076, 17.20249330943847, 17.88180262345679, 21.45362095410628, 20.224517066085692, 11.226065569272976, 13.038796521077565, 12.947788477366256, 21.01820483539095, 12.392688956669087, 14.50025029239766, 16.490229586311454, 18.198974729938275), (18.61509253891573, 17.1358109916368, 17.858602932098762, 21.42240948067633, 20.214714960058096, 11.216941838134431, 12.9938934882595, 12.889033744855967, 20.990984053497943, 12.354577622851611, 14.470649707602341, 16.45851115442928, 18.18897665895062), (18.59601449275362, 17.06814516129032, 17.83489583333333, 21.389877717391304, 20.203431372549023, 11.206481481481482, 12.9484360410831, 12.830555555555556, 20.96284722222222, 12.316339869281046, 14.439114832535884, 16.426023391812866, 18.177473958333334), (18.57454031132582, 16.99953309438471, 17.8106887345679, 21.35606334541063, 20.19070987654321, 11.19473717421125, 12.902443268665492, 12.772373662551441, 20.93382890946502, 12.277976625514404, 14.405723498139285, 16.392787091184747, 18.164512924382716), (18.55075244229737, 16.93001206690562, 17.785989043209874, 21.32100404589372, 20.176594045025414, 11.18176159122085, 12.855934260123803, 12.714507818930043, 20.90396368312757, 12.239488821108692, 14.370553535353537, 16.358823045267492, 18.150139853395064), (18.524733333333334, 16.859619354838713, 17.760804166666667, 21.2847375, 20.16112745098039, 11.167607407407406, 12.808928104575164, 12.65697777777778, 20.87328611111111, 12.200877385620915, 14.333682775119618, 16.324152046783627, 18.134401041666667), (18.496565432098766, 16.788392234169656, 17.735141512345677, 21.24730138888889, 20.144353667392885, 11.152327297668037, 12.761443891136702, 12.59980329218107, 20.84183076131687, 12.162143248608086, 14.29518904837852, 16.28879488845571, 18.117342785493825), (18.466331186258724, 16.71636798088411, 17.70900848765432, 21.208733393719807, 20.126316267247642, 11.135973936899862, 12.713500708925546, 12.543004115226339, 20.809632201646092, 12.123287339627208, 14.255150186071239, 16.252772363006283, 18.09901138117284), (18.434113043478263, 16.643583870967742, 17.682412499999998, 21.169071195652176, 20.10705882352941, 11.118599999999999, 12.665117647058823, 12.486600000000001, 20.776725, 12.084310588235295, 14.213644019138757, 16.216105263157896, 18.079453124999997), (18.399993451422436, 16.570077180406216, 17.655360956790126, 21.12835247584541, 20.086624909222948, 11.10025816186557, 12.616313794653665, 12.430610699588478, 20.743143724279836, 12.045213923989348, 14.170748378522063, 16.178814381633096, 18.058714313271608), (18.364054857756308, 16.495885185185184, 17.6278612654321, 21.086614915458934, 20.065058097313, 11.08100109739369, 12.567108240827196, 12.37505596707819, 20.70892294238683, 12.00599827644638, 14.12654109516215, 16.14092051115443, 18.036841242283952), (18.326379710144927, 16.421045161290323, 17.599920833333332, 21.043896195652174, 20.042401960784314, 11.060881481481482, 12.517520074696545, 12.319955555555556, 20.674097222222223, 11.9666645751634, 14.0811, 16.102444444444444, 18.013880208333333), (18.287050456253354, 16.345594384707287, 17.571547067901232, 21.000233997584544, 20.01870007262164, 11.039951989026063, 12.467568385378843, 12.265329218106997, 20.63870113168724, 11.92721374969741, 14.034502923976609, 16.06340697422569, 17.989877507716052), (18.246149543746643, 16.269570131421744, 17.54274737654321, 20.955666002415462, 19.99399600580973, 11.018265294924555, 12.417272261991217, 12.21119670781893, 20.60276923868313, 11.887646729605423, 13.986827698032961, 16.02382889322071, 17.964879436728395), (18.203759420289852, 16.193009677419354, 17.513529166666665, 20.910229891304347, 19.968333333333337, 10.995874074074074, 12.366650793650793, 12.157577777777778, 20.566336111111116, 11.847964444444443, 13.938152153110048, 15.983730994152046, 17.938932291666667), (18.159962533548043, 16.11595029868578, 17.483899845679012, 20.86396334541063, 19.941755628177198, 10.972831001371743, 12.315723069474704, 12.104492181069958, 20.52943631687243, 11.808167823771482, 13.888554120148857, 15.943134069742257, 17.912082368827164), (18.11484133118626, 16.03842927120669, 17.453866820987656, 20.81690404589372, 19.91430646332607, 10.94918875171468, 12.264508178580074, 12.051959670781894, 20.492104423868312, 11.76825779714355, 13.838111430090379, 15.902058912713883, 17.884375964506173), (18.068478260869565, 15.960483870967742, 17.423437500000002, 20.769089673913047, 19.886029411764707, 10.925, 12.213025210084034, 12.0, 20.454375000000002, 11.728235294117647, 13.786901913875598, 15.860526315789475, 17.855859375), (18.020955770263015, 15.8821513739546, 17.392619290123456, 20.720557910628024, 19.85696804647785, 10.900317421124829, 12.161293253103711, 11.9486329218107, 20.41628261316873, 11.688101244250786, 13.735003402445509, 15.818557071691574, 17.826578896604936), (17.97235630703167, 15.80346905615293, 17.361419598765433, 20.671346437198068, 19.827165940450254, 10.875193689986283, 12.109331396756236, 11.897878189300412, 20.377861831275723, 11.647856577099976, 13.682493726741095, 15.776171973142736, 17.796580825617283), (17.92276231884058, 15.724474193548389, 17.329845833333334, 20.621492934782612, 19.796666666666667, 10.84968148148148, 12.057158730158731, 11.847755555555556, 20.339147222222223, 11.607502222222221, 13.62945071770335, 15.733391812865497, 17.76591145833333), (17.872256253354806, 15.645204062126643, 17.29790540123457, 20.571035084541062, 19.765513798111837, 10.823833470507545, 12.00479434242833, 11.798284773662553, 20.300173353909464, 11.567039109174534, 13.575952206273259, 15.690237383582414, 17.734617091049383), (17.820920558239397, 15.56569593787336, 17.265605709876546, 20.52001056763285, 19.733750907770517, 10.797702331961592, 11.95225732268216, 11.749485596707821, 20.260974794238685, 11.526468167513919, 13.522076023391813, 15.646729478016026, 17.70274402006173), (17.76883768115942, 15.485987096774197, 17.23295416666667, 20.468457065217393, 19.701421568627453, 10.77134074074074, 11.899566760037347, 11.701377777777779, 20.221586111111108, 11.485790326797385, 13.4679, 15.602888888888891, 17.67033854166667), (17.716090069779927, 15.406114814814819, 17.199958179012345, 20.416412258454105, 19.668569353667394, 10.744801371742112, 11.846741743611025, 11.65398106995885, 20.182041872427984, 11.445006516581941, 13.413501967038808, 15.558736408923545, 17.637446952160495), (17.66276017176597, 15.326116367980884, 17.166625154320986, 20.363913828502415, 19.635237835875095, 10.718136899862827, 11.793801362520316, 11.607315226337448, 20.142376646090533, 11.404117666424595, 13.35895975544923, 15.514292830842535, 17.604115547839505), (17.608930434782607, 15.246029032258065, 17.1329625, 20.31099945652174, 19.601470588235298, 10.6914, 11.740764705882354, 11.5614, 20.102625, 11.363124705882353, 13.304351196172249, 15.469578947368422, 17.570390625), (17.5546833064949, 15.165890083632016, 17.09897762345679, 20.257706823671498, 19.567311183732752, 10.664643347050754, 11.687650862814262, 11.516255144032922, 20.062821502057616, 11.322028564512225, 13.249754120148857, 15.42461555122374, 17.536318479938274), (17.500101234567904, 15.085736798088412, 17.064677932098768, 20.204073611111113, 19.532803195352216, 10.637919615912208, 11.634478922433171, 11.471900411522633, 20.02300072016461, 11.280830171871218, 13.195246358320043, 15.379423435131034, 17.501945408950615), (17.44526666666667, 15.005606451612904, 17.030070833333333, 20.1501375, 19.497990196078433, 10.611281481481482, 11.58126797385621, 11.428355555555555, 19.98319722222222, 11.239530457516341, 13.140905741626794, 15.334023391812867, 17.467317708333336), (17.390262050456254, 14.92553632019116, 16.9951637345679, 20.095936171497584, 19.462915758896152, 10.584781618655693, 11.528037106200506, 11.385640329218107, 19.943445576131687, 11.1981303510046, 13.086810101010101, 15.28843621399177, 17.432481674382714), (17.335169833601718, 14.845563679808842, 16.959964043209876, 20.041507306763286, 19.427623456790123, 10.558472702331962, 11.474805408583187, 11.343774485596708, 19.90378034979424, 11.156630781893005, 13.03303726741095, 15.242682694390297, 17.397483603395063), (17.280072463768114, 14.765725806451613, 16.924479166666668, 19.98688858695652, 19.392156862745097, 10.532407407407408, 11.421591970121383, 11.302777777777779, 19.86423611111111, 11.115032679738563, 12.979665071770334, 15.196783625730996, 17.362369791666666), (17.225052388620504, 14.686059976105138, 16.888716512345678, 19.932117693236716, 19.356559549745825, 10.50663840877915, 11.36841587993222, 11.262669958847736, 19.82484742798354, 11.07333697409828, 12.92677134502924, 15.15075980073641, 17.327186535493826), (17.17019205582394, 14.606603464755079, 16.852683487654325, 19.877232306763286, 19.32087509077705, 10.48121838134431, 11.31529622713283, 11.223470781893006, 19.78564886831276, 11.03154459452917, 12.874433918128654, 15.104632012129088, 17.29198013117284), (17.11557391304348, 14.5273935483871, 16.8163875, 19.822270108695655, 19.28514705882353, 10.4562, 11.262252100840335, 11.185200000000002, 19.746675000000003, 10.989656470588237, 12.82273062200957, 15.05842105263158, 17.256796875000003), (17.061280407944178, 14.448467502986858, 16.779835956790127, 19.767268780193234, 19.249419026870008, 10.431635939643346, 11.209302590171871, 11.147877366255145, 19.707960390946504, 10.947673531832486, 12.771739287612972, 15.012147714966428, 17.221683063271605), (17.007393988191087, 14.369862604540026, 16.743036265432103, 19.71226600241546, 19.213734567901238, 10.407578875171467, 11.15646678424456, 11.111522633744855, 19.669539609053498, 10.90559670781893, 12.72153774587985, 14.965832791856185, 17.18668499228395), (16.953997101449275, 14.29161612903226, 16.705995833333336, 19.65729945652174, 19.178137254901962, 10.384081481481482, 11.103763772175537, 11.076155555555555, 19.631447222222224, 10.863426928104575, 12.672203827751195, 14.919497076023394, 17.151848958333336), (16.90117219538379, 14.213765352449222, 16.66872206790124, 19.602406823671497, 19.142670660856936, 10.361196433470509, 11.051212643081925, 11.041795884773663, 19.593717798353907, 10.821165122246429, 12.623815364167996, 14.873161360190599, 17.11722125771605), (16.84890760266548, 14.136477513814715, 16.631312090853726, 19.547700988485673, 19.10731622431267, 10.338965584586125, 10.998946734582185, 11.00853462380509, 19.556483060265517, 10.778948525902914, 12.57646303107516, 14.826947285707972, 17.0827990215178), (16.796665616220118, 14.060514930345965, 16.594282215038913, 19.493620958299207, 19.071708038219388, 10.317338295353823, 10.947632775139043, 10.976780267109216, 19.52031426428351, 10.73756730224301, 12.530239806803754, 14.781441909803354, 17.048295745488062), (16.744292825407193, 13.985904957629483, 16.55765447887317, 19.440152109327204, 19.035733820199482, 10.296258322497776, 10.89730737034481, 10.946524777701677, 19.485224961603823, 10.697085590378538, 12.485078120568769, 14.736667648605932, 17.013611936988678), (16.691723771827743, 13.912538906325063, 16.521357941970972, 19.38719907047953, 18.999339347490803, 10.275675979116777, 10.847888671550209, 10.917684563218188, 19.451126410610094, 10.657428045209185, 12.440890676288666, 14.692541755477222, 16.978693067560602), (16.63889299708279, 13.840308087092497, 16.485321663946774, 19.33466647066604, 18.9624703973312, 10.255541578309604, 10.799294830105955, 10.890176031294454, 19.417929869685967, 10.618519321634633, 12.39759017788191, 14.64898148377875, 16.943484608744804), (16.58573504277338, 13.769103810591583, 16.44947470441506, 19.2824589387966, 18.925072746958516, 10.235805433175049, 10.751443997362767, 10.863915589566174, 19.385546597215082, 10.580284074554568, 12.355089329266963, 14.60590408687203, 16.907932032082243), (16.532184450500534, 13.698817387482112, 16.413746122990304, 19.23048110378107, 18.887092173610597, 10.2164178568119, 10.70425432467136, 10.838819645669062, 19.353887851581078, 10.54264695886867, 12.31330083436229, 14.563226818118581, 16.87198080911388), (16.47817576186529, 13.629340128423884, 16.37806497928697, 19.17863759452931, 18.848474454525295, 10.197329162318939, 10.657643963382455, 10.814804607238818, 19.322864891167605, 10.50553262947663, 12.272137397086349, 14.520866930879935, 16.835576411380675), (16.423643518468683, 13.560563344076693, 16.342360332919537, 19.12683303995118, 18.809165366940455, 10.178489662794956, 10.611531064846766, 10.791786881911152, 19.2923889743583, 10.468865741278133, 12.23151172135761, 14.4787416785176, 16.79866431042359), (16.36852226191174, 13.49237834510033, 16.30656124350248, 19.07497206895654, 18.76911068809392, 10.159849671338735, 10.565833780415012, 10.769682877321769, 19.2623713595368, 10.43257094917286, 12.191336511094532, 14.436768314393102, 16.761189977783587), (16.312746533795494, 13.424676442154594, 16.270596770650265, 19.02295931045525, 18.728256195223544, 10.141359501049065, 10.52047026143791, 10.74840900110637, 19.232723305086758, 10.396572908060497, 12.151524470215579, 14.394864091867959, 16.72309888500163), (16.256250875720976, 13.357348945899277, 16.234395973977367, 18.970699393357176, 18.68654766556717, 10.12296946502473, 10.475358659266176, 10.727881660900668, 19.20335606939181, 10.36079627284073, 12.111988302639215, 14.352946264303695, 16.68433650361868), (16.198969829289226, 13.290287166994178, 16.197887913098263, 18.91809694657217, 18.643930876362642, 10.104629876364521, 10.43041712525053, 10.708017264340365, 19.174180910835588, 10.32516569841324, 12.072640712283903, 14.310932085061827, 16.644848305175692), (16.14083793610127, 13.22338241609909, 16.16100164762742, 18.8650565990101, 18.60035160484781, 10.086291048167222, 10.385563810741687, 10.688732219061166, 19.145109087801753, 10.289605839677717, 12.033394403068103, 14.268738807503881, 16.604579761213643), (16.08178973775815, 13.156526003873804, 16.123666237179307, 18.81148297958082, 18.555755628260517, 10.067903293531618, 10.34071686709037, 10.669942932698781, 19.116051858673934, 10.254041351533843, 11.994162078910282, 14.226283684991369, 16.56347634327348), (16.021759775860883, 13.089609240978122, 16.08581074136841, 18.7572807171942, 18.51008872383862, 10.0494169255565, 10.295794445647289, 10.651565812888913, 19.086920481835772, 10.218396888881303, 11.954856443728904, 14.183483970885819, 16.521483522896165), (15.960682592010507, 13.022523438071834, 16.047364219809193, 18.702354440760086, 18.46329666881996, 10.03078225734065, 10.250714697763163, 10.633517267267269, 19.057626215670915, 10.182597106619781, 11.915390201442428, 14.140256918548745, 16.478546771622668), (15.89849272780806, 12.955159905814739, 16.008255732116123, 18.646608779188355, 18.415325240442385, 10.011949601982854, 10.205395774788713, 10.61571370346955, 19.028080318563003, 10.146566659648963, 11.87567605596932, 14.096519781341675, 16.434611560993947), (15.83512472485457, 12.887409954866628, 15.968414337903685, 18.589948361388856, 18.36612021594374, 9.992869272581904, 10.159755828074656, 10.59807152913147, 18.998194048895677, 10.110230202868534, 11.835626711228041, 14.052189812626125, 16.38962336255096), (15.770513124751067, 12.8191648958873, 15.927769096786342, 18.532277816271456, 18.315627372561877, 9.973491582236585, 10.113713008971706, 10.580507151888732, 18.967878665052577, 10.073512391178177, 11.795154871137056, 14.007184265763614, 16.343527647834676), (15.704592469098595, 12.750316039536544, 15.88624906837857, 18.473501772746012, 18.263792487534637, 9.95376684404568, 10.06718546883058, 10.562936979377039, 18.93704542541735, 10.036337879477578, 11.754173239614829, 13.961420394115667, 16.296269888386057), (15.63729729949817, 12.68075469647416, 15.843783312294848, 18.413524859722386, 18.210561338099865, 9.933645371107978, 10.020091359002002, 10.545277419232098, 18.905605588373632, 9.998631322666423, 11.712594520579822, 13.914815451043799, 16.24779555574605), (15.568562157550836, 12.610372177359944, 15.800300888149636, 18.352251706110444, 18.15587970149542, 9.913077476522266, 9.972348830836681, 10.527444879089616, 18.873470412305064, 9.960317375644397, 11.670331417950496, 13.867286689909534, 16.198050121455637), (15.498321584857623, 12.539059792853687, 15.755730855557415, 18.28958694082003, 18.09969335495913, 9.892013473387332, 9.923876035685343, 10.509355766585298, 18.840551155595293, 9.92132069331118, 11.627296635645319, 13.818751364074394, 16.146979057055766), (15.426510123019561, 12.466708853615184, 15.710002274132659, 18.225435192761026, 18.04194807572886, 9.870403674801956, 9.8745911248987, 10.490926489354854, 18.80675907662796, 9.881565930566463, 11.583402877582751, 13.769126726899895, 16.094527834087398), (15.353062313637686, 12.393210670304235, 15.66304420348983, 18.159701090843274, 17.982589641042455, 9.848198393864935, 9.824412249827468, 10.472073455033982, 18.772005433786706, 9.840977742309924, 11.538562847681254, 13.718330031747561, 16.040641924091503), (15.277912698313022, 12.31845655358063, 15.614785703243411, 18.092289263976646, 17.921563828137746, 9.825347943675048, 9.773257561822367, 10.452713071258394, 18.73620148545517, 9.799480783441254, 11.492689249859293, 13.66627853197891, 15.985266798609034), (15.200995818646616, 12.242337814104165, 15.565155833007877, 18.023104341071, 17.858816414252605, 9.801802637331082, 9.721045212234115, 10.432761745663793, 18.699258490016998, 9.756999708860134, 11.445694788035329, 13.612889480955465, 15.928347929180966), (15.122246216239494, 12.164745762534638, 15.514083652397689, 17.952050951036195, 17.794293176624855, 9.777512787931828, 9.667693352413432, 10.412135885885887, 18.661087705855824, 9.713459173466253, 11.39749216612783, 13.558080132038745, 15.869830787348244), (15.041598432692682, 12.08557170953184, 15.461498221027327, 17.879033722782097, 17.727939892492355, 9.752428708576069, 9.613120133711027, 10.39075189956038, 18.621600391355297, 9.66878383215929, 11.347994088055255, 13.50176773859027, 15.80966084465184), (14.958987009607215, 12.004706965755565, 15.407328598511267, 17.803957285218555, 17.659702339092952, 9.726500712362592, 9.557243707477623, 10.368526194322978, 18.580707804899063, 9.622898339838935, 11.297113257736068, 13.443869553971561, 15.747783572632711), (14.874346488584132, 11.922042841865615, 15.35150384446397, 17.72672626725544, 17.58952629366449, 9.699679112390184, 9.499982225063938, 10.34537517780939, 18.53832120487076, 9.575727351404868, 11.244762379088732, 13.384302831544138, 15.684144442831826), (14.787611411224459, 11.837470648521778, 15.29395301849992, 17.64724529780261, 17.51735753344482, 9.671914221757634, 9.441253837820689, 10.321215257655316, 18.494351849654016, 9.527195521756779, 11.190854156031712, 13.322984824669524, 15.618688926790139), (14.69871631912923, 11.750881696383855, 15.23460518023359, 17.565419005769925, 17.443141835671785, 9.643156353563725, 9.380976697098594, 10.295962841496468, 18.448710997632492, 9.477227505794348, 11.135301292483467, 13.259832786709236, 15.551362496048613), (14.607595753899481, 11.662167296111635, 15.173389389279437, 17.481152020067245, 17.36682497758323, 9.613355820907245, 9.319068954248365, 10.269534336968547, 18.401309907189823, 9.425747958417263, 11.078016492362465, 13.194763971024798, 15.482110622148213), (14.51418425713624, 11.571218758364918, 15.11023470525195, 17.394348969604433, 17.28835273641701, 9.582462936886982, 9.255448760620729, 10.241846151707264, 18.352059836709653, 9.372681534525205, 11.018912459587169, 13.127695630977726, 15.410878776629895), (14.418416370440541, 11.477927393803494, 15.045070187765598, 17.304914483291345, 17.207670889410966, 9.550428014601719, 9.190034267566393, 10.21281469334832, 18.30087204457561, 9.317952889017864, 10.957901898076038, 13.058545019929545, 15.337612431034628), (14.320226635413416, 11.382184513087163, 14.97782489643485, 17.212753190037848, 17.124725213802947, 9.517201367150248, 9.122743626436081, 10.182356369527422, 18.247657789171353, 9.261486676794918, 10.894897511747537, 12.987229391241772, 15.262257056903364), (14.219549593655895, 11.283881426875716, 14.908427890874176, 17.117769718753795, 17.0394614868308, 9.48273330763135, 9.05349498858051, 10.150387587880278, 18.19232832888052, 9.20320755275606, 10.829812004520129, 12.91366599827593, 15.184758125777073), (14.116319786769019, 11.182909445828951, 14.836808230698063, 17.019868698349054, 16.951825485732364, 9.446974149143815, 8.982206505350396, 10.116824756042595, 18.134794922086748, 9.143040171800969, 10.762558080312278, 12.837772094393538, 15.105061109196717), (14.010471756353809, 11.079159880606662, 14.762894975520963, 16.91895475773348, 16.8617629877455, 9.409874204786428, 8.908796328096455, 10.081584281650072, 18.07496882717368, 9.080909188829333, 10.693048443042448, 12.759464932956115, 15.02311147870325), (13.901940044011312, 10.972524041868644, 14.686617184957365, 16.81493252581694, 16.769219770108045, 9.371383787657978, 8.83318260816941, 10.044582572338422, 18.01276130252496, 9.016739258740834, 10.6211957966291, 12.678661767325185, 14.938854705837642), (13.790659191342543, 10.86289324027469, 14.607903918621735, 16.707706631509282, 16.674141610057855, 9.331453210857248, 8.75528349691997, 10.005736035743345, 17.948083606524232, 8.950455036435159, 10.5469128449907, 12.595279850862267, 14.852236262140847), (13.676563739948545, 10.750158786484597, 14.526684236128547, 16.597181703720377, 16.576474284832766, 9.29003278748303, 8.67501714569886, 9.964961079500554, 17.88084699755513, 8.88198117681199, 10.470112292045709, 12.50923643692888, 14.763201619153833), (13.559588231430352, 10.634211991158162, 14.442887197092272, 16.483262371360087, 16.476163571670632, 9.247072830634105, 8.592301705856794, 9.922174111245749, 17.8109627340013, 8.811242334771014, 10.39070684171259, 12.420448778886547, 14.671696248417557), (13.43642570352943, 10.512815617390064, 14.352465517024239, 16.36158524697224, 16.368625990567796, 9.199844057370798, 8.505192097670143, 9.87443451422887, 17.732991764878374, 8.73605864932406, 10.306072354570096, 12.32567921554981, 14.573674546947622), (13.288116180561124, 10.37351757527906, 14.232128073125379, 16.207158885819215, 16.22734435760693, 9.132641366412786, 8.40278297409429, 9.804984358975888, 17.61556907019986, 8.644105789377742, 10.20135048411419, 12.206452542629595, 14.445769764456351), (13.112769770827757, 10.215174111373285, 14.0794577243206, 16.017439518735948, 16.04955623642423, 9.043814332885832, 8.284038747090811, 9.712078541149223, 17.455365409011574, 8.534170173353209, 10.075067115497172, 12.060903507998123, 14.285557096008445), (12.911799698254727, 10.038817562544844, 13.896084549438555, 15.79423050676211, 15.837107623707803, 8.934439034826566, 8.149826602812377, 9.596880959597605, 17.254493580598233, 8.407184747707687, 9.928334978279473, 11.890381444033627, 14.094673280674375), (12.686619186767443, 9.84548026566583, 13.683638627307893, 15.539335210937388, 15.591844516145768, 8.80559155027162, 8.001013727411657, 9.460555513169764, 17.015066384244545, 8.264082458898416, 9.762266802021516, 11.696235683114327, 13.874755057524599), (12.438641460291295, 9.636194557608343, 13.443750036757264, 15.254556992301481, 15.315612910426239, 8.65834795725763, 7.838467307041322, 9.304266100714425, 16.73919661923523, 8.105796253382625, 9.577975316283736, 11.479815557618458, 13.627439165629584), (12.16927974275169, 9.411992775244478, 13.178048856615318, 14.941699211894072, 15.01025880323734, 8.493784333821234, 7.663054527854039, 9.129176621080324, 16.428997084855002, 7.933259077617543, 9.376573250626553, 11.242470399924246, 13.35436234405979), (11.879947258074031, 9.173907255446338, 12.888165165710705, 14.602565230754854, 14.677628191267182, 8.312976757999055, 7.475642576002479, 8.936450973116184, 16.086580580388564, 7.747403878060404, 9.1591733346104, 10.985549542409915, 13.057161331885686), (11.572057230183715, 8.922970335086019, 12.57572904287207, 14.238958409923503, 14.319567071203886, 8.117001307827735, 7.277098637639315, 8.727253055670738, 15.714059905120632, 7.549163601168441, 8.926888297795703, 10.710402317453703, 12.737472868177733), (11.24702288300614, 8.660214351035616, 12.242370566928068, 13.852682110439718, 13.937921439735565, 7.906934061343905, 7.0682898989172145, 8.502746767592717, 15.31354785833592, 7.339471193398886, 8.680830869742888, 10.418378057433825, 12.396933692006392), (10.906257440466712, 8.386671640167231, 11.889719816707347, 13.445539693343184, 13.534537293550335, 7.683851096584198, 6.850083545988848, 8.264096007730847, 14.887157239319139, 7.11925960120897, 8.422113780012385, 10.11082609472852, 12.037180542442131), (10.551174126490828, 8.103374539352963, 11.519406871038555, 13.019334519673588, 13.111260629336316, 7.4488284915852505, 6.623346765006885, 8.012464674933861, 14.437000847355009, 6.889461771055926, 8.151849758164623, 9.78909576171601, 11.659850158555415), (10.18318616500389, 7.811355385464907, 11.133061808750343, 12.575869950470615, 12.66993744378162, 7.2029423243836925, 6.388946742123995, 7.749016668050485, 13.96519148172823, 6.6510106493969845, 7.871151533760029, 9.454536390774527, 11.2665792794167), (9.8037067799313, 7.511646515375161, 10.73231470867136, 12.116949346773964, 12.21241373357437, 6.947268673016157, 6.147750663492849, 7.47491588592945, 13.47384194172352, 6.404839182689379, 7.581131836359027, 9.108497314282296, 10.859004644096458), (9.414149195198457, 7.205280265955825, 10.318795649630257, 11.644376069623315, 11.740535495402677, 6.682883615519281, 5.900625715266118, 7.191326227419487, 12.965065026625595, 6.151880317390344, 7.282903395522049, 8.752327864617548, 10.438762991665145), (9.015926634730764, 6.893288974078996, 9.894134710455681, 11.159953480058356, 11.256148725954663, 6.410863229929695, 5.64843908359647, 6.899411591369322, 12.440973535719161, 5.893066999957107, 6.97757894080952, 8.387377374158506, 10.007491061193234), (8.610452322453618, 6.576704976616772, 9.459961969976282, 10.665484939118773, 10.76109942191844, 6.132283594284034, 5.3920579546365754, 6.600335876627689, 11.903680268288936, 5.629332176846904, 6.66627120178187, 8.014995175283403, 9.566825591751181), (8.19913948229242, 6.256560610441251, 9.017907507020714, 10.162773807844262, 10.257233579982124, 5.848220786618931, 5.132349514539104, 6.295262982043313, 11.35529802361963, 5.361608794516964, 6.3500929079995245, 7.636530600370466, 9.118403322409455), (7.783401338172574, 5.933888212424531, 8.569601400417621, 9.653623447274505, 9.746397196833835, 5.55975088497102, 4.870180949456727, 5.985356806464928, 10.797939600995955, 5.090829799424521, 6.0301567890229135, 7.253332981797922, 8.663860992238513), (7.364651114019479, 5.6097201194387125, 8.116673728995655, 9.13983721844919, 9.230436269161691, 5.267949967376934, 4.606419445542112, 5.671781248741259, 10.233717799702626, 4.817928138026804, 5.7075755744124645, 6.866751651944002, 8.204835340308824), (6.944302033758534, 5.285088668355891, 7.660754571583465, 8.623218482408008, 8.711196793653805, 4.973894111873309, 4.341932188947932, 5.355700207721038, 9.664745419024355, 4.54383675678105, 5.383461993728603, 6.478135943186929, 7.742963105690853), (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0))
passenger_arriving_acc = ((9, 4, 8, 11, 5, 1, 5, 5, 2, 3, 3, 0, 0, 7, 4, 8, 4, 6, 2, 8, 4, 2, 2, 1, 1, 0), (15, 13, 17, 17, 10, 2, 8, 10, 5, 4, 6, 0, 0, 16, 11, 12, 8, 13, 6, 11, 9, 7, 4, 3, 1, 0), (26, 26, 22, 27, 19, 4, 13, 12, 8, 5, 10, 1, 0, 30, 18, 19, 14, 28, 10, 14, 15, 10, 5, 5, 2, 0), (40, 43, 31, 37, 27, 6, 17, 21, 10, 6, 12, 2, 0, 33, 26, 25, 20, 40, 13, 17, 17, 14, 7, 7, 4, 0), (58, 51, 40, 46, 36, 10, 26, 27, 15, 12, 12, 2, 0, 39, 39, 33, 23, 47, 22, 20, 21, 17, 7, 10, 6, 0), (78, 60, 51, 56, 47, 15, 30, 36, 17, 15, 13, 3, 0, 55, 46, 44, 28, 56, 32, 24, 25, 22, 11, 11, 8, 0), (89, 74, 64, 65, 55, 19, 33, 39, 19, 15, 14, 4, 0, 68, 56, 59, 34, 66, 41, 30, 30, 28, 14, 12, 8, 0), (110, 90, 82, 78, 66, 23, 35, 43, 27, 16, 16, 5, 0, 79, 66, 62, 44, 77, 54, 35, 34, 33, 15, 14, 10, 0), (123, 107, 97, 90, 71, 27, 46, 47, 33, 18, 20, 6, 0, 90, 78, 73, 51, 89, 65, 43, 36, 36, 20, 15, 11, 0), (136, 121, 112, 102, 84, 34, 55, 56, 42, 20, 22, 7, 0, 103, 92, 77, 59, 99, 75, 51, 39, 41, 27, 17, 11, 0), (151, 135, 126, 112, 91, 41, 62, 63, 47, 20, 23, 8, 0, 111, 102, 89, 71, 109, 82, 54, 41, 44, 29, 23, 12, 0), (169, 144, 139, 124, 101, 43, 72, 66, 57, 24, 26, 11, 0, 125, 118, 99, 81, 122, 99, 61, 45, 52, 34, 33, 13, 0), (185, 166, 152, 140, 112, 48, 80, 73, 61, 28, 28, 14, 0, 133, 135, 109, 89, 134, 104, 65, 46, 60, 37, 34, 15, 0), (202, 189, 161, 159, 127, 51, 92, 80, 68, 29, 31, 16, 0, 148, 145, 114, 102, 149, 111, 71, 51, 64, 46, 41, 18, 0), (217, 218, 175, 169, 135, 56, 96, 89, 75, 32, 32, 17, 0, 164, 159, 125, 114, 160, 118, 78, 54, 71, 50, 43, 19, 0), (241, 236, 182, 186, 150, 59, 106, 98, 83, 33, 35, 20, 0, 188, 174, 135, 127, 169, 127, 86, 56, 78, 52, 47, 21, 0), (267, 254, 194, 203, 161, 67, 110, 104, 94, 33, 38, 20, 0, 211, 186, 148, 132, 178, 136, 97, 57, 88, 54, 47, 21, 0), (277, 270, 208, 226, 173, 70, 121, 117, 103, 38, 40, 21, 0, 232, 204, 164, 142, 186, 145, 107, 62, 93, 56, 51, 22, 0), (297, 284, 222, 239, 187, 73, 126, 131, 112, 39, 41, 21, 0, 249, 215, 184, 148, 198, 158, 114, 64, 101, 60, 54, 22, 0), (318, 308, 238, 254, 195, 77, 133, 140, 122, 44, 41, 21, 0, 262, 233, 196, 156, 220, 166, 118, 71, 106, 66, 57, 24, 0), (340, 329, 254, 261, 205, 87, 142, 151, 129, 47, 43, 23, 0, 274, 250, 216, 168, 231, 174, 126, 76, 114, 75, 61, 24, 0), (354, 346, 273, 278, 221, 93, 149, 156, 134, 51, 46, 25, 0, 287, 271, 225, 184, 248, 179, 130, 80, 120, 79, 65, 26, 0), (374, 358, 288, 294, 235, 101, 153, 167, 139, 51, 49, 25, 0, 308, 284, 237, 195, 265, 189, 138, 83, 127, 83, 71, 28, 0), (392, 375, 301, 313, 246, 110, 161, 175, 147, 53, 52, 26, 0, 322, 310, 248, 204, 284, 202, 150, 91, 134, 90, 75, 30, 0), (400, 394, 318, 324, 262, 116, 166, 184, 155, 57, 52, 26, 0, 343, 327, 262, 215, 294, 216, 160, 96, 139, 95, 79, 30, 0), (417, 419, 332, 335, 271, 119, 177, 190, 158, 58, 55, 26, 0, 361, 347, 274, 223, 310, 226, 164, 108, 147, 96, 82, 31, 0), (434, 435, 349, 347, 287, 126, 186, 198, 168, 62, 56, 28, 0, 382, 368, 280, 239, 317, 239, 171, 113, 154, 103, 84, 33, 0), (453, 448, 360, 363, 299, 132, 196, 205, 175, 65, 57, 30, 0, 397, 388, 289, 252, 328, 244, 179, 115, 159, 113, 85, 38, 0), (471, 467, 369, 379, 315, 138, 200, 208, 180, 68, 58, 33, 0, 415, 405, 305, 259, 343, 253, 188, 120, 167, 116, 88, 40, 0), (491, 482, 383, 391, 332, 144, 208, 212, 184, 72, 61, 34, 0, 428, 428, 319, 268, 366, 258, 199, 128, 173, 120, 93, 42, 0), (507, 499, 405, 405, 352, 150, 211, 220, 188, 75, 64, 36, 0, 442, 449, 340, 278, 373, 268, 206, 132, 180, 129, 96, 42, 0), (528, 514, 424, 414, 361, 162, 222, 228, 195, 78, 68, 36, 0, 457, 471, 357, 283, 387, 274, 216, 137, 183, 136, 100, 42, 0), (543, 530, 435, 431, 369, 171, 227, 237, 201, 79, 70, 37, 0, 478, 485, 369, 291, 407, 280, 228, 144, 188, 141, 102, 44, 0), (558, 546, 444, 443, 380, 181, 233, 239, 207, 84, 72, 40, 0, 498, 498, 382, 300, 422, 286, 236, 147, 193, 144, 109, 45, 0), (575, 563, 453, 463, 398, 186, 238, 245, 214, 85, 75, 43, 0, 515, 512, 392, 316, 441, 293, 241, 153, 200, 150, 114, 45, 0), (598, 577, 471, 480, 412, 190, 247, 253, 224, 91, 78, 44, 0, 532, 535, 398, 329, 458, 304, 254, 158, 208, 155, 117, 46, 0), (620, 593, 489, 496, 421, 199, 255, 262, 232, 94, 82, 45, 0, 545, 550, 415, 341, 474, 316, 260, 160, 215, 164, 122, 47, 0), (639, 610, 504, 512, 430, 203, 260, 269, 242, 97, 87, 46, 0, 572, 564, 427, 348, 487, 321, 266, 164, 223, 169, 124, 48, 0), (661, 634, 520, 529, 442, 214, 261, 274, 250, 103, 90, 49, 0, 597, 574, 435, 362, 504, 329, 269, 166, 233, 175, 129, 54, 0), (686, 648, 533, 553, 459, 226, 269, 281, 261, 106, 93, 50, 0, 616, 591, 454, 368, 522, 335, 277, 167, 240, 181, 132, 54, 0), (703, 671, 547, 569, 469, 232, 273, 290, 267, 107, 96, 52, 0, 638, 602, 468, 380, 532, 344, 284, 170, 251, 191, 132, 55, 0), (721, 693, 563, 580, 482, 236, 278, 297, 274, 115, 98, 53, 0, 650, 621, 481, 390, 544, 351, 294, 179, 261, 196, 134, 56, 0), (740, 711, 579, 598, 494, 244, 288, 305, 281, 116, 102, 54, 0, 663, 646, 495, 397, 560, 366, 299, 182, 266, 202, 139, 59, 0), (759, 724, 597, 610, 509, 248, 294, 313, 291, 119, 107, 55, 0, 680, 661, 503, 410, 579, 374, 303, 185, 273, 203, 142, 60, 0), (780, 737, 607, 632, 524, 255, 302, 317, 302, 121, 107, 56, 0, 695, 679, 514, 422, 592, 378, 311, 190, 277, 208, 144, 62, 0), (804, 757, 626, 647, 542, 261, 308, 323, 314, 124, 110, 59, 0, 711, 692, 532, 437, 611, 388, 318, 191, 286, 216, 147, 64, 0), (826, 767, 644, 666, 562, 261, 316, 334, 320, 124, 114, 61, 0, 731, 709, 539, 449, 622, 398, 323, 195, 289, 220, 149, 67, 0), (845, 780, 666, 682, 579, 264, 321, 339, 325, 126, 117, 63, 0, 746, 725, 555, 454, 635, 412, 335, 198, 300, 226, 156, 68, 0), (865, 801, 678, 695, 594, 272, 329, 345, 331, 130, 120, 63, 0, 768, 740, 570, 462, 648, 420, 349, 200, 311, 233, 161, 68, 0), (892, 817, 696, 708, 608, 278, 332, 355, 339, 131, 121, 66, 0, 785, 751, 583, 470, 657, 429, 359, 207, 315, 239, 164, 69, 0), (910, 841, 710, 725, 626, 282, 338, 362, 343, 134, 122, 66, 0, 801, 766, 598, 476, 682, 438, 367, 213, 318, 245, 168, 70, 0), (921, 861, 727, 751, 640, 288, 343, 365, 355, 138, 122, 68, 0, 815, 784, 607, 487, 698, 449, 370, 218, 330, 247, 169, 72, 0), (940, 878, 741, 769, 652, 295, 347, 373, 363, 140, 126, 70, 0, 838, 800, 620, 498, 710, 454, 378, 224, 335, 253, 170, 74, 0), (954, 891, 761, 784, 666, 307, 358, 376, 371, 143, 129, 75, 0, 847, 809, 635, 514, 718, 467, 386, 228, 340, 259, 172, 75, 0), (981, 911, 778, 801, 680, 313, 366, 383, 379, 145, 130, 75, 0, 866, 828, 648, 523, 728, 471, 395, 231, 344, 263, 175, 77, 0), (1004, 936, 792, 812, 701, 320, 370, 389, 390, 149, 130, 75, 0, 888, 844, 655, 529, 744, 481, 404, 234, 352, 273, 178, 79, 0), (1020, 953, 809, 827, 714, 326, 377, 394, 396, 150, 133, 76, 0, 904, 860, 670, 531, 756, 493, 413, 240, 358, 278, 178, 82, 0), (1037, 969, 825, 845, 732, 332, 381, 396, 401, 151, 136, 77, 0, 921, 876, 682, 540, 770, 509, 420, 244, 366, 290, 180, 83, 0), (1056, 985, 838, 857, 740, 338, 390, 403, 405, 153, 140, 81, 0, 939, 883, 692, 554, 794, 520, 425, 250, 372, 294, 182, 85, 0), (1076, 1003, 855, 873, 753, 346, 397, 412, 408, 155, 142, 81, 0, 952, 892, 706, 565, 812, 529, 434, 254, 381, 297, 184, 85, 0), (1095, 1024, 879, 889, 770, 356, 403, 414, 418, 157, 144, 85, 0, 970, 905, 720, 572, 824, 536, 435, 258, 385, 302, 186, 88, 0), (1123, 1047, 894, 905, 785, 365, 410, 420, 428, 158, 144, 86, 0, 988, 922, 736, 583, 840, 546, 443, 264, 389, 310, 187, 89, 0), (1143, 1062, 903, 924, 794, 381, 419, 425, 438, 162, 144, 86, 0, 1008, 938, 748, 593, 860, 553, 447, 268, 393, 316, 193, 91, 0), (1153, 1075, 916, 947, 804, 389, 425, 430, 446, 163, 147, 86, 0, 1024, 950, 766, 603, 873, 558, 452, 273, 398, 321, 194, 92, 0), (1162, 1090, 934, 968, 820, 392, 437, 436, 451, 169, 149, 86, 0, 1048, 963, 781, 619, 889, 563, 458, 279, 406, 324, 198, 94, 0), (1181, 1105, 946, 980, 834, 400, 448, 442, 458, 175, 150, 87, 0, 1063, 978, 790, 627, 899, 570, 464, 281, 417, 326, 205, 94, 0), (1202, 1121, 964, 994, 847, 404, 460, 445, 462, 181, 151, 88, 0, 1078, 998, 802, 633, 914, 578, 468, 284, 420, 331, 211, 94, 0), (1217, 1136, 980, 1008, 859, 406, 470, 450, 466, 184, 157, 92, 0, 1098, 1018, 819, 641, 928, 584, 477, 291, 429, 336, 214, 95, 0), (1245, 1160, 994, 1025, 876, 415, 472, 455, 469, 187, 162, 93, 0, 1109, 1036, 837, 647, 939, 595, 483, 298, 435, 339, 216, 95, 0), (1252, 1178, 1005, 1037, 886, 416, 476, 460, 477, 189, 165, 95, 0, 1123, 1051, 846, 661, 959, 600, 492, 303, 440, 343, 219, 101, 0), (1268, 1191, 1019, 1068, 901, 421, 480, 467, 482, 189, 170, 95, 0, 1141, 1068, 855, 675, 969, 603, 495, 307, 444, 354, 224, 101, 0), (1284, 1203, 1032, 1079, 910, 424, 483, 475, 488, 192, 173, 98, 0, 1165, 1092, 871, 679, 986, 610, 503, 307, 451, 360, 228, 101, 0), (1315, 1217, 1048, 1090, 927, 430, 490, 478, 492, 193, 174, 101, 0, 1182, 1107, 886, 693, 1003, 613, 509, 313, 458, 366, 232, 104, 0), (1328, 1233, 1059, 1104, 941, 434, 499, 482, 499, 198, 175, 102, 0, 1196, 1114, 903, 705, 1017, 617, 514, 324, 464, 370, 237, 106, 0), (1351, 1249, 1072, 1116, 963, 442, 509, 486, 505, 200, 177, 102, 0, 1217, 1127, 924, 712, 1030, 627, 518, 328, 473, 379, 241, 108, 0), (1372, 1269, 1084, 1141, 980, 446, 516, 492, 511, 201, 178, 102, 0, 1232, 1153, 941, 722, 1049, 635, 523, 333, 475, 383, 243, 108, 0), (1388, 1282, 1107, 1156, 990, 450, 521, 501, 519, 202, 181, 103, 0, 1244, 1170, 952, 727, 1055, 641, 526, 339, 485, 387, 245, 109, 0), (1400, 1292, 1124, 1172, 999, 455, 528, 509, 527, 205, 183, 104, 0, 1254, 1183, 968, 734, 1071, 644, 531, 342, 489, 391, 249, 110, 0), (1420, 1306, 1141, 1191, 1017, 464, 534, 512, 536, 207, 186, 106, 0, 1273, 1201, 982, 745, 1095, 652, 538, 348, 496, 396, 253, 111, 0), (1444, 1319, 1153, 1205, 1026, 470, 542, 516, 541, 211, 189, 107, 0, 1293, 1213, 990, 752, 1115, 656, 545, 355, 500, 398, 256, 114, 0), (1471, 1333, 1167, 1218, 1037, 474, 549, 520, 548, 215, 191, 107, 0, 1305, 1226, 1001, 757, 1131, 662, 555, 361, 508, 404, 259, 116, 0), (1490, 1347, 1183, 1235, 1054, 482, 552, 528, 556, 216, 195, 109, 0, 1334, 1242, 1018, 772, 1147, 674, 558, 366, 518, 405, 268, 116, 0), (1510, 1362, 1195, 1256, 1069, 486, 562, 535, 567, 220, 196, 111, 0, 1350, 1258, 1025, 776, 1160, 681, 563, 371, 524, 408, 273, 119, 0), (1522, 1374, 1205, 1266, 1075, 497, 566, 542, 577, 223, 198, 111, 0, 1361, 1272, 1035, 785, 1178, 688, 569, 372, 529, 412, 275, 119, 0), (1543, 1389, 1219, 1280, 1082, 504, 570, 547, 584, 224, 201, 112, 0, 1381, 1284, 1044, 795, 1195, 695, 576, 377, 537, 420, 279, 120, 0), (1559, 1399, 1237, 1298, 1091, 506, 575, 554, 590, 226, 202, 114, 0, 1395, 1294, 1054, 804, 1211, 699, 581, 379, 544, 425, 280, 121, 0), (1576, 1416, 1261, 1316, 1108, 512, 580, 560, 596, 228, 204, 114, 0, 1410, 1314, 1064, 808, 1225, 706, 586, 385, 552, 430, 284, 123, 0), (1596, 1429, 1280, 1334, 1121, 517, 585, 563, 604, 231, 206, 114, 0, 1427, 1333, 1074, 814, 1235, 713, 592, 392, 557, 432, 286, 125, 0), (1608, 1443, 1299, 1347, 1137, 524, 593, 564, 613, 235, 206, 115, 0, 1446, 1344, 1085, 818, 1248, 722, 595, 396, 559, 436, 287, 126, 0), (1630, 1453, 1318, 1372, 1153, 527, 600, 570, 623, 238, 206, 115, 0, 1467, 1362, 1095, 829, 1265, 727, 599, 398, 570, 441, 290, 128, 0), (1656, 1465, 1332, 1387, 1167, 530, 606, 577, 635, 242, 207, 115, 0, 1485, 1381, 1106, 836, 1279, 734, 602, 401, 579, 445, 294, 131, 0), (1673, 1480, 1346, 1409, 1182, 535, 609, 582, 647, 243, 209, 115, 0, 1502, 1392, 1115, 844, 1297, 739, 608, 405, 584, 449, 297, 132, 0), (1693, 1496, 1352, 1427, 1188, 546, 614, 587, 654, 248, 213, 115, 0, 1523, 1408, 1124, 848, 1308, 746, 613, 407, 593, 458, 298, 135, 0), (1709, 1511, 1377, 1447, 1197, 552, 626, 587, 661, 252, 213, 116, 0, 1542, 1419, 1132, 863, 1314, 752, 622, 413, 600, 463, 301, 137, 0), (1734, 1523, 1393, 1462, 1223, 557, 631, 590, 672, 255, 217, 117, 0, 1565, 1429, 1143, 871, 1322, 766, 628, 416, 606, 468, 304, 141, 0), (1753, 1538, 1405, 1480, 1238, 561, 636, 596, 680, 257, 218, 119, 0, 1585, 1438, 1148, 880, 1331, 775, 633, 419, 611, 471, 311, 141, 0), (1766, 1548, 1415, 1492, 1253, 568, 638, 604, 684, 258, 224, 121, 0, 1596, 1448, 1158, 888, 1343, 783, 636, 421, 619, 476, 314, 144, 0), (1790, 1560, 1428, 1509, 1264, 572, 649, 610, 692, 263, 224, 123, 0, 1610, 1460, 1165, 896, 1359, 787, 644, 423, 630, 484, 315, 145, 0), (1807, 1573, 1443, 1529, 1284, 580, 653, 611, 700, 265, 226, 127, 0, 1628, 1478, 1177, 901, 1378, 794, 649, 428, 637, 489, 320, 145, 0), (1821, 1586, 1455, 1544, 1297, 594, 657, 614, 705, 267, 228, 128, 0, 1646, 1491, 1188, 907, 1391, 795, 658, 434, 644, 491, 326, 148, 0), (1841, 1593, 1469, 1557, 1311, 607, 663, 617, 712, 271, 232, 128, 0, 1661, 1509, 1198, 911, 1405, 802, 665, 445, 648, 495, 326, 150, 0), (1858, 1608, 1486, 1571, 1318, 610, 669, 622, 722, 271, 235, 129, 0, 1674, 1521, 1211, 922, 1423, 808, 672, 448, 653, 499, 327, 151, 0), (1878, 1626, 1496, 1586, 1332, 617, 675, 625, 723, 272, 236, 130, 0, 1693, 1537, 1222, 936, 1439, 820, 678, 455, 659, 504, 329, 153, 0), (1891, 1637, 1516, 1598, 1346, 622, 678, 633, 727, 276, 238, 130, 0, 1706, 1555, 1233, 949, 1451, 827, 682, 460, 669, 507, 333, 155, 0), (1904, 1650, 1527, 1615, 1355, 629, 683, 636, 732, 280, 238, 131, 0, 1722, 1568, 1244, 957, 1463, 836, 686, 465, 675, 511, 336, 155, 0), (1917, 1664, 1536, 1633, 1366, 630, 689, 644, 739, 281, 239, 133, 0, 1739, 1581, 1248, 963, 1477, 840, 694, 469, 686, 520, 338, 155, 0), (1928, 1682, 1544, 1649, 1376, 636, 693, 649, 741, 284, 239, 135, 0, 1757, 1592, 1255, 969, 1491, 847, 701, 473, 697, 528, 340, 157, 0), (1937, 1693, 1560, 1661, 1387, 645, 698, 652, 744, 288, 240, 135, 0, 1776, 1604, 1269, 975, 1499, 854, 709, 480, 702, 530, 343, 158, 0), (1949, 1707, 1578, 1678, 1405, 650, 706, 655, 753, 289, 242, 138, 0, 1803, 1619, 1280, 982, 1509, 861, 710, 485, 710, 538, 350, 159, 0), (1969, 1727, 1599, 1697, 1421, 655, 711, 663, 766, 294, 245, 140, 0, 1823, 1634, 1293, 988, 1530, 866, 716, 486, 715, 541, 352, 159, 0), (1990, 1746, 1615, 1704, 1433, 661, 715, 668, 779, 297, 248, 140, 0, 1837, 1643, 1301, 998, 1543, 869, 722, 489, 720, 546, 357, 161, 0), (2004, 1760, 1630, 1723, 1447, 664, 720, 672, 786, 302, 252, 142, 0, 1854, 1659, 1314, 1004, 1555, 875, 728, 494, 722, 551, 360, 162, 0), (2019, 1773, 1640, 1734, 1456, 670, 723, 678, 794, 304, 253, 144, 0, 1867, 1678, 1328, 1008, 1564, 877, 733, 495, 727, 562, 362, 164, 0), (2040, 1788, 1657, 1752, 1462, 676, 725, 684, 802, 308, 256, 146, 0, 1879, 1691, 1340, 1019, 1576, 890, 740, 499, 737, 565, 366, 165, 0), (2055, 1800, 1667, 1763, 1478, 681, 733, 685, 808, 309, 259, 147, 0, 1894, 1706, 1351, 1032, 1592, 900, 747, 508, 740, 569, 370, 166, 0), (2072, 1819, 1678, 1774, 1494, 689, 738, 693, 812, 311, 262, 149, 0, 1910, 1724, 1367, 1036, 1604, 901, 751, 515, 747, 574, 372, 166, 0), (2091, 1831, 1686, 1786, 1508, 695, 744, 696, 817, 316, 265, 150, 0, 1929, 1735, 1377, 1043, 1618, 907, 760, 518, 757, 576, 374, 166, 0), (2111, 1844, 1698, 1804, 1523, 701, 753, 701, 824, 316, 267, 153, 0, 1955, 1756, 1389, 1048, 1628, 915, 763, 525, 765, 583, 378, 166, 0), (2126, 1854, 1708, 1821, 1536, 706, 760, 705, 827, 318, 267, 154, 0, 1964, 1770, 1399, 1052, 1640, 922, 769, 527, 772, 587, 380, 166, 0), (2143, 1868, 1719, 1837, 1546, 710, 763, 710, 838, 321, 267, 156, 0, 1978, 1785, 1403, 1062, 1649, 928, 775, 528, 778, 596, 381, 168, 0), (2160, 1872, 1736, 1856, 1556, 719, 768, 713, 848, 324, 268, 156, 0, 2003, 1798, 1412, 1071, 1661, 936, 778, 532, 782, 605, 385, 169, 0), (2179, 1885, 1748, 1868, 1576, 726, 771, 714, 854, 329, 270, 157, 0, 2013, 1813, 1425, 1078, 1674, 941, 784, 536, 785, 609, 385, 171, 0), (2195, 1898, 1760, 1884, 1588, 730, 774, 718, 862, 335, 272, 158, 0, 2023, 1823, 1432, 1082, 1689, 950, 787, 538, 790, 615, 387, 173, 0), (2214, 1907, 1770, 1897, 1600, 735, 776, 721, 868, 337, 276, 159, 0, 2033, 1836, 1439, 1090, 1711, 951, 790, 544, 793, 618, 389, 173, 0), (2235, 1925, 1785, 1911, 1615, 739, 780, 727, 874, 338, 278, 159, 0, 2045, 1847, 1449, 1099, 1731, 954, 792, 550, 804, 625, 391, 173, 0), (2245, 1943, 1798, 1928, 1631, 742, 786, 729, 885, 339, 279, 160, 0, 2059, 1862, 1459, 1109, 1752, 962, 800, 556, 811, 633, 395, 177, 0), (2258, 1951, 1809, 1938, 1640, 749, 789, 734, 894, 342, 283, 162, 0, 2071, 1872, 1467, 1121, 1761, 969, 806, 562, 817, 638, 397, 177, 0), (2274, 1958, 1818, 1955, 1652, 752, 799, 743, 899, 343, 284, 168, 0, 2081, 1889, 1476, 1129, 1774, 974, 815, 566, 821, 643, 402, 178, 0), (2294, 1967, 1830, 1968, 1664, 759, 804, 746, 904, 347, 288, 169, 0, 2100, 1906, 1489, 1134, 1785, 984, 817, 569, 832, 653, 403, 180, 0), (2305, 1985, 1845, 1982, 1677, 764, 812, 753, 909, 350, 289, 170, 0, 2117, 1926, 1498, 1143, 1800, 995, 824, 574, 835, 656, 408, 181, 0), (2324, 2003, 1858, 1994, 1688, 770, 817, 758, 917, 353, 291, 171, 0, 2133, 1939, 1505, 1152, 1811, 1006, 830, 581, 842, 657, 410, 183, 0), (2337, 2016, 1876, 2005, 1699, 776, 824, 762, 925, 356, 291, 171, 0, 2154, 1954, 1509, 1161, 1830, 1009, 833, 586, 845, 663, 411, 185, 0), (2350, 2023, 1884, 2021, 1714, 780, 829, 772, 935, 360, 293, 172, 0, 2161, 1967, 1523, 1166, 1836, 1013, 836, 589, 849, 668, 415, 187, 0), (2371, 2035, 1901, 2036, 1724, 785, 834, 778, 941, 362, 293, 175, 0, 2178, 1976, 1536, 1176, 1845, 1016, 841, 592, 853, 670, 415, 188, 0), (2388, 2051, 1912, 2055, 1735, 793, 837, 780, 950, 365, 296, 177, 0, 2188, 1988, 1544, 1179, 1856, 1022, 847, 594, 863, 676, 415, 188, 0), (2405, 2057, 1929, 2065, 1744, 799, 840, 787, 957, 367, 298, 177, 0, 2197, 2000, 1552, 1186, 1866, 1032, 849, 598, 868, 680, 416, 190, 0), (2427, 2063, 1936, 2087, 1758, 809, 843, 793, 958, 369, 301, 177, 0, 2213, 2005, 1560, 1191, 1874, 1042, 852, 603, 871, 691, 417, 190, 0), (2437, 2072, 1949, 2097, 1771, 814, 853, 800, 963, 371, 307, 179, 0, 2233, 2022, 1571, 1193, 1892, 1048, 859, 608, 875, 693, 419, 191, 0), (2449, 2081, 1963, 2120, 1785, 822, 860, 803, 970, 376, 308, 179, 0, 2248, 2035, 1581, 1200, 1899, 1051, 868, 612, 879, 693, 422, 193, 0), (2471, 2093, 1973, 2128, 1796, 829, 862, 803, 976, 377, 309, 179, 0, 2265, 2044, 1586, 1208, 1911, 1055, 871, 615, 886, 697, 426, 194, 0), (2490, 2104, 1983, 2138, 1804, 837, 866, 809, 981, 381, 310, 179, 0, 2283, 2059, 1592, 1214, 1919, 1057, 874, 617, 897, 701, 430, 195, 0), (2510, 2116, 1997, 2150, 1814, 842, 872, 811, 987, 382, 311, 181, 0, 2298, 2078, 1602, 1223, 1936, 1062, 879, 624, 901, 704, 431, 196, 0), (2521, 2129, 2010, 2159, 1824, 847, 878, 816, 994, 384, 313, 181, 0, 2316, 2092, 1609, 1232, 1952, 1071, 886, 627, 908, 706, 434, 197, 0), (2533, 2139, 2022, 2169, 1840, 851, 883, 819, 1003, 386, 316, 184, 0, 2333, 2105, 1621, 1242, 1967, 1074, 892, 636, 914, 714, 435, 197, 0), (2548, 2150, 2034, 2179, 1851, 855, 890, 826, 1008, 387, 317, 184, 0, 2351, 2118, 1629, 1245, 1988, 1077, 898, 644, 915, 719, 439, 199, 0), (2563, 2164, 2046, 2187, 1858, 857, 891, 834, 1013, 388, 321, 185, 0, 2365, 2133, 1637, 1249, 2001, 1086, 904, 652, 924, 722, 441, 199, 0), (2579, 2171, 2060, 2196, 1870, 867, 898, 834, 1016, 391, 322, 185, 0, 2387, 2140, 1641, 1257, 2015, 1091, 908, 657, 932, 729, 447, 201, 0), (2593, 2179, 2076, 2214, 1878, 871, 902, 836, 1024, 392, 324, 187, 0, 2402, 2152, 1649, 1267, 2024, 1095, 914, 662, 941, 736, 450, 201, 0), (2607, 2187, 2095, 2227, 1888, 879, 909, 842, 1031, 394, 328, 187, 0, 2419, 2159, 1658, 1275, 2038, 1103, 917, 667, 946, 739, 452, 203, 0), (2620, 2197, 2100, 2246, 1903, 887, 912, 847, 1041, 397, 331, 187, 0, 2429, 2172, 1665, 1283, 2051, 1108, 917, 671, 948, 741, 457, 204, 0), (2637, 2207, 2107, 2256, 1917, 893, 917, 854, 1046, 400, 335, 188, 0, 2442, 2184, 1670, 1292, 2063, 1115, 921, 676, 952, 743, 460, 204, 0), (2654, 2216, 2124, 2273, 1934, 905, 919, 858, 1051, 403, 337, 190, 0, 2458, 2201, 1677, 1299, 2081, 1116, 923, 680, 956, 747, 463, 205, 0), (2668, 2223, 2130, 2284, 1946, 909, 923, 865, 1058, 404, 337, 191, 0, 2471, 2214, 1685, 1305, 2097, 1124, 926, 682, 961, 753, 466, 206, 0), (2683, 2232, 2145, 2292, 1958, 911, 925, 868, 1064, 404, 340, 194, 0, 2488, 2231, 1691, 1310, 2108, 1134, 932, 687, 969, 756, 468, 206, 0), (2692, 2244, 2153, 2309, 1964, 915, 928, 872, 1066, 407, 340, 195, 0, 2501, 2246, 1697, 1319, 2121, 1138, 937, 689, 972, 761, 470, 206, 0), (2711, 2255, 2170, 2319, 1970, 922, 935, 877, 1072, 408, 343, 197, 0, 2511, 2262, 1705, 1329, 2136, 1140, 940, 690, 978, 763, 471, 207, 0), (2719, 2262, 2181, 2332, 1982, 926, 941, 879, 1081, 410, 343, 198, 0, 2523, 2279, 1710, 1335, 2144, 1145, 942, 695, 984, 767, 472, 209, 0), (2736, 2276, 2195, 2344, 1993, 930, 946, 879, 1089, 414, 347, 200, 0, 2538, 2292, 1718, 1345, 2159, 1148, 948, 696, 995, 773, 475, 209, 0), (2748, 2285, 2212, 2354, 2000, 933, 951, 882, 1096, 414, 350, 202, 0, 2554, 2301, 1725, 1354, 2167, 1152, 949, 703, 998, 776, 477, 209, 0), (2758, 2294, 2227, 2375, 2014, 940, 953, 888, 1100, 416, 351, 203, 0, 2565, 2320, 1735, 1363, 2186, 1155, 952, 704, 1006, 777, 480, 209, 0), (2768, 2306, 2238, 2386, 2027, 944, 958, 893, 1109, 419, 351, 203, 0, 2578, 2330, 1744, 1366, 2198, 1160, 955, 710, 1008, 783, 481, 210, 0), (2781, 2323, 2254, 2403, 2031, 949, 962, 899, 1115, 421, 352, 203, 0, 2589, 2341, 1749, 1376, 2213, 1167, 965, 712, 1011, 789, 487, 212, 0), (2791, 2330, 2265, 2409, 2039, 958, 966, 907, 1118, 422, 355, 208, 0, 2604, 2351, 1757, 1381, 2225, 1172, 969, 714, 1011, 790, 488, 212, 0), (2811, 2342, 2271, 2420, 2050, 964, 972, 917, 1130, 427, 359, 210, 0, 2625, 2358, 1767, 1391, 2233, 1176, 976, 718, 1015, 793, 491, 213, 0), (2824, 2348, 2280, 2427, 2065, 970, 974, 923, 1135, 430, 359, 211, 0, 2636, 2366, 1778, 1402, 2246, 1184, 978, 723, 1020, 794, 493, 213, 0), (2840, 2359, 2294, 2438, 2078, 972, 978, 925, 1140, 432, 360, 211, 0, 2645, 2377, 1782, 1412, 2259, 1187, 982, 727, 1024, 796, 496, 214, 0), (2858, 2368, 2306, 2445, 2093, 976, 983, 929, 1148, 432, 361, 212, 0, 2654, 2385, 1791, 1416, 2269, 1191, 983, 730, 1038, 802, 497, 214, 0), (2872, 2371, 2314, 2455, 2100, 982, 985, 932, 1152, 433, 361, 213, 0, 2669, 2388, 1799, 1429, 2276, 1194, 990, 736, 1046, 804, 498, 215, 0), (2886, 2379, 2321, 2467, 2107, 990, 986, 933, 1154, 433, 364, 216, 0, 2686, 2396, 1800, 1435, 2287, 1198, 992, 736, 1049, 804, 500, 215, 0), (2898, 2390, 2328, 2477, 2120, 992, 988, 936, 1160, 436, 365, 216, 0, 2697, 2407, 1814, 1439, 2295, 1202, 993, 740, 1054, 809, 500, 216, 0), (2904, 2401, 2336, 2488, 2132, 998, 990, 937, 1166, 436, 366, 216, 0, 2709, 2416, 1819, 1445, 2306, 1208, 995, 744, 1057, 811, 503, 216, 0), (2910, 2407, 2348, 2498, 2142, 1003, 991, 938, 1169, 437, 367, 217, 0, 2721, 2427, 1821, 1448, 2310, 1209, 997, 747, 1060, 814, 504, 216, 0), (2920, 2413, 2360, 2513, 2151, 1007, 996, 941, 1170, 440, 369, 217, 0, 2734, 2433, 1825, 1453, 2321, 1215, 998, 750, 1062, 818, 505, 216, 0), (2929, 2419, 2369, 2518, 2161, 1009, 999, 944, 1179, 441, 371, 217, 0, 2747, 2441, 1829, 1455, 2329, 1222, 999, 752, 1064, 825, 505, 218, 0), (2938, 2424, 2376, 2529, 2171, 1013, 1001, 946, 1182, 443, 371, 218, 0, 2758, 2446, 1835, 1456, 2335, 1230, 1002, 752, 1070, 829, 505, 218, 0), (2949, 2428, 2381, 2541, 2182, 1013, 1005, 948, 1187, 443, 371, 218, 0, 2767, 2450, 1840, 1460, 2341, 1234, 1004, 755, 1072, 831, 505, 218, 0), (2955, 2435, 2389, 2552, 2185, 1018, 1007, 952, 1189, 445, 373, 218, 0, 2782, 2454, 1845, 1462, 2348, 1235, 1008, 759, 1074, 833, 509, 218, 0), (2961, 2438, 2396, 2558, 2188, 1021, 1008, 952, 1192, 447, 373, 219, 0, 2786, 2459, 1849, 1470, 2358, 1239, 1008, 762, 1078, 835, 510, 218, 0), (2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0), (2970, 2440, 2402, 2563, 2190, 1023, 1010, 954, 1194, 447, 373, 221, 0, 2793, 2465, 1857, 1470, 2363, 1240, 1009, 766, 1081, 838, 511, 219, 0))
passenger_arriving_rate = ((9.037558041069182, 9.116726123493724, 7.81692484441876, 8.389801494715634, 6.665622729131535, 3.295587678639206, 3.7314320538365235, 3.4898821297345672, 3.654059437300804, 1.781106756985067, 1.261579549165681, 0.7346872617459261, 0.0, 9.150984382641052, 8.081559879205185, 6.307897745828405, 5.3433202709552, 7.308118874601608, 4.885834981628395, 3.7314320538365235, 2.3539911990280045, 3.3328113645657673, 2.7966004982385453, 1.5633849688837522, 0.828793283953975, 0.0), (9.637788873635953, 9.718600145338852, 8.333019886995228, 8.943944741923431, 7.106988404969084, 3.5132827632446837, 3.9775220471373247, 3.7196352921792815, 3.8953471957997454, 1.8985413115247178, 1.3449288407868398, 0.7831824991221532, 0.0, 9.755624965391739, 8.615007490343684, 6.724644203934198, 5.695623934574153, 7.790694391599491, 5.207489409050994, 3.9775220471373247, 2.509487688031917, 3.553494202484542, 2.9813149139744777, 1.6666039773990458, 0.883509104121714, 0.0), (10.236101416163518, 10.318085531970116, 8.847063428321121, 9.495883401297473, 7.546755568499692, 3.7301093702380674, 4.222636657164634, 3.948468935928315, 4.135672084126529, 2.015511198759246, 1.4279469446328943, 0.8314848978079584, 0.0, 10.357856690777442, 9.14633387588754, 7.13973472316447, 6.046533596277737, 8.271344168253059, 5.527856510299641, 4.222636657164634, 2.6643638358843336, 3.773377784249846, 3.1652944670991583, 1.7694126856642243, 0.938007775633647, 0.0), (10.830164027663812, 10.912803828195138, 9.357016303979782, 10.0434281501683, 7.983194011202283, 3.9452076537143688, 4.46580327748316, 4.175475868120881, 4.374081096552656, 2.1315522142917818, 1.5103045235482149, 0.8794028527395692, 0.0, 10.955291051257605, 9.67343138013526, 7.551522617741075, 6.3946566428753435, 8.748162193105312, 5.845666215369232, 4.46580327748316, 2.818005466938835, 3.9915970056011414, 3.3478093833894342, 1.8714032607959565, 0.9920730752904672, 0.0), (11.417645067148767, 11.500376578821527, 9.860839349554556, 10.584389665866468, 8.41457352455579, 4.1577177677686015, 4.706049301657613, 4.399748895896186, 4.609621227349624, 2.246200153725456, 1.5916722403771728, 0.9267447588532147, 0.0, 11.54553953929167, 10.19419234738536, 7.958361201885864, 6.738600461176366, 9.219242454699248, 6.159648454254661, 4.706049301657613, 2.969798405549001, 4.207286762277895, 3.528129888622157, 1.9721678699109113, 1.0454887798928663, 0.0), (11.996212893630318, 12.07842532865692, 10.356493400628777, 11.11657862572253, 8.839163900039136, 4.366779866495776, 4.942402123252702, 4.620380826393444, 4.841339470788935, 2.3589908126633987, 1.67172075796414, 0.9733190110851223, 0.0, 12.126213647339089, 10.706509121936344, 8.358603789820698, 7.076972437990195, 9.68267894157787, 6.468533156950822, 4.942402123252702, 3.119128476068411, 4.419581950019568, 3.705526208574178, 2.071298680125756, 1.0980386662415385, 0.0), (12.5635358661204, 12.644571622508925, 10.8419392927858, 11.63780570706703, 9.255234929131252, 4.571534103990907, 5.173889135833137, 4.836464466751867, 5.068282821142089, 2.469459986708742, 1.750120739153485, 1.0189340043715214, 0.0, 12.694924867859292, 11.208274048086732, 8.750603695767424, 7.408379960126224, 10.136565642284179, 6.771050253452613, 5.173889135833137, 3.265381502850648, 4.627617464565626, 3.8792685690223445, 2.16838785855716, 1.1495065111371752, 0.0), (13.117282343630944, 13.196437005185167, 11.315137861608953, 12.145881587230525, 9.661056403311065, 4.771120634349007, 5.399537732963626, 5.047092624110664, 5.289498272680586, 2.5771434714646144, 1.8265428467895808, 1.0633981336486396, 0.0, 13.249284693311735, 11.697379470135033, 9.132714233947903, 7.7314304143938415, 10.578996545361171, 7.06592967375493, 5.399537732963626, 3.4079433102492906, 4.830528201655532, 4.048627195743509, 2.2630275723217905, 1.1996760913804698, 0.0), (13.655120685173882, 13.731643021493262, 11.774049942681595, 12.638616943543553, 10.054898114057503, 4.964679611665085, 5.618375308208878, 5.251358105609044, 5.504032819675924, 2.681577062534149, 1.9006577437167966, 1.1065197938527056, 0.0, 13.786904616155851, 12.171717732379758, 9.503288718583983, 8.044731187602444, 11.008065639351848, 7.351901347852662, 5.618375308208878, 3.5461997226179176, 5.027449057028751, 4.212872314514518, 2.3548099885363194, 1.248331183772115, 0.0), (14.174719249761154, 14.247811216240837, 12.216636371587056, 13.11382245333668, 10.43502985284949, 5.151351190034158, 5.829429255133608, 5.4483537183862225, 5.710933456399605, 2.782296555520474, 1.9721360927795035, 1.1481073799199473, 0.0, 14.305396128851092, 12.629181179119417, 9.860680463897518, 8.34688966656142, 11.42186691279921, 7.627695205740712, 5.829429255133608, 3.679536564310113, 5.217514926424745, 4.371274151112227, 2.4433272743174115, 1.2952555651128035, 0.0), (14.673746396404677, 14.7425631342355, 12.640857983908687, 13.569308793940438, 10.799721411165962, 5.330275523551238, 6.031726967302519, 5.637172269581408, 5.909247177123128, 2.878837746026722, 2.0406485568220725, 1.187969286786593, 0.0, 14.802370723856898, 13.06766215465252, 10.20324278411036, 8.636513238080164, 11.818494354246257, 7.892041177413972, 6.031726967302519, 3.8073396596794558, 5.399860705582981, 4.52310293131348, 2.5281715967817378, 1.3402330122032275, 0.0), (15.149870484116411, 15.213520320284891, 13.044675615229824, 14.002886642685386, 11.14724258048584, 5.500592766311337, 6.224295838280325, 5.816906566333811, 6.098020976117995, 2.970736429656024, 2.105865798688875, 1.2259139093888718, 0.0, 15.2754398936327, 13.485053003277587, 10.529328993444373, 8.912209288968072, 12.19604195223599, 8.143669192867335, 6.224295838280325, 3.9289948330795266, 5.57362129024292, 4.66762888089513, 2.6089351230459648, 1.3830473018440812, 0.0), (15.600759871908263, 15.6583043191966, 13.42605010113381, 14.412366676902078, 11.475863152288053, 5.6614430724094635, 6.406163261631731, 5.986649415782641, 6.276301847655707, 3.0575284020115086, 2.1674584812242808, 1.2617496426630104, 0.0, 15.722215130637963, 13.879246069293112, 10.837292406121403, 9.172585206034523, 12.552603695311413, 8.381309182095698, 6.406163261631731, 4.043887908863902, 5.737931576144026, 4.804122225634027, 2.6852100202267626, 1.4234822108360548, 0.0), (16.02408291879218, 16.074536675778273, 13.782942277203993, 14.795559573921057, 11.783852918051522, 5.8119665959406355, 6.576356630921451, 6.145493625067111, 6.443136786007759, 3.138749458696308, 2.225097267272661, 1.2952848815452382, 0.0, 16.140307927332124, 14.248133696997618, 11.125486336363304, 9.416248376088921, 12.886273572015519, 8.603691075093955, 6.576356630921451, 4.151404711386168, 5.891926459025761, 4.93185319130702, 2.756588455440799, 1.4613215159798432, 0.0), (16.41750798378009, 16.45983893483752, 14.113312979023721, 15.150276011072872, 12.069481669255186, 5.9513034909998614, 6.733903339714195, 6.292532001326435, 6.597572785445653, 3.2139353953135514, 2.2784528196783858, 1.3263280209717843, 0.0, 16.527329776174614, 14.589608230689624, 11.392264098391927, 9.641806185940652, 13.195145570891306, 8.80954480185701, 6.733903339714195, 4.250931064999901, 6.034740834627593, 5.050092003690958, 2.8226625958047444, 1.4963489940761385, 0.0), (16.77870342588394, 16.811832641181958, 14.415123042176313, 15.474326665688082, 12.33101919737797, 6.078593911682158, 6.877830781574663, 6.426857351699818, 6.738656840240891, 3.2826220074663714, 2.3271958012858263, 1.3546874558788757, 0.0, 16.880892169624886, 14.90156201466763, 11.63597900642913, 9.847866022399112, 13.477313680481782, 8.997600292379746, 6.877830781574663, 4.341852794058684, 6.165509598688985, 5.158108888562695, 2.883024608435263, 1.5283484219256327, 0.0), (17.10533760411564, 17.128139339619217, 14.686333302245139, 15.765522215097217, 12.566735293898798, 6.192978012082533, 7.007166350067579, 6.547562483326471, 6.865435944664972, 3.344345090757899, 2.370996874939354, 1.380171581202741, 0.0, 17.198606600142384, 15.181887393230149, 11.85498437469677, 10.033035272273695, 13.730871889329944, 9.16658747665706, 7.007166350067579, 4.423555722916095, 6.283367646949399, 5.255174071699074, 2.9372666604490276, 1.55710357632902, 0.0), (17.395078877487137, 17.406380574956913, 14.92490459481353, 16.021673336630855, 12.774899750296605, 6.2935959462960005, 7.12093743875764, 6.653740203345614, 6.976957092989391, 3.398640440791261, 2.40952670348334, 1.4025887918796085, 0.0, 17.47808456018655, 15.428476710675692, 12.047633517416699, 10.195921322373781, 13.953914185978782, 9.31523628468386, 7.12093743875764, 4.4954256759257145, 6.387449875148302, 5.340557778876952, 2.984980918962706, 1.5823982340869922, 0.0), (17.645595605010367, 17.644177892002652, 15.12879775546482, 16.24059070761953, 12.953782358050306, 6.379587868417579, 7.2181714412095666, 6.744483318896446, 7.072267279485658, 3.4450438531695924, 2.4424559497621527, 1.4217474828457075, 0.0, 17.716937542216822, 15.63922231130278, 12.212279748810763, 10.335131559508774, 14.144534558971316, 9.442276646455024, 7.2181714412095666, 4.556848477441128, 6.476891179025153, 5.413530235873177, 3.0257595510929645, 1.6040161720002415, 0.0), (17.85455614569726, 17.83915283556408, 15.29597361978237, 16.420085005393776, 13.10165290863884, 6.450093932542269, 7.297895750988055, 6.818884637118185, 7.150413498425267, 3.4830911234960236, 2.4694552766201636, 1.4374560490372645, 0.0, 17.912777038692653, 15.812016539409907, 12.347276383100818, 10.449273370488068, 14.300826996850533, 9.546438491965459, 7.297895750988055, 4.607209951815906, 6.55082645431942, 5.473361668464593, 3.059194723956474, 1.621741166869462, 0.0), (18.01962885855975, 17.988926950448786, 15.424393023349506, 16.55796690728418, 13.216781193541133, 6.504254292765094, 7.359137761657826, 6.876036965150038, 7.210442744079718, 3.5123180473736824, 2.490195346901745, 1.4495228853905089, 0.0, 18.063214542073485, 15.944751739295596, 12.450976734508725, 10.536954142121044, 14.420885488159437, 9.626451751210054, 7.359137761657826, 4.645895923403639, 6.608390596770566, 5.51932230242806, 3.084878604669901, 1.6353569954953444, 0.0), (18.13848210260976, 18.09112178146442, 15.51201680174958, 16.652047090621256, 13.297437004236105, 6.541209103181062, 7.400924866783583, 6.915033110131218, 7.251402010720512, 3.532260420405701, 2.5043468234512685, 1.4577563868416692, 0.0, 18.165861544818743, 16.03532025525836, 12.52173411725634, 10.5967812612171, 14.502804021441024, 9.681046354183705, 7.400924866783583, 4.672292216557902, 6.648718502118053, 5.550682363540419, 3.1024033603499164, 1.644647434678584, 0.0), (18.20878423685924, 18.143358873418588, 15.55680579056593, 16.70013623273558, 13.341890132202689, 6.560098517885186, 7.422284459930039, 6.934965879200936, 7.27233829261915, 3.54245403819521, 2.5115803691131027, 1.4619649483269737, 0.0, 18.218329539387888, 16.08161443159671, 12.557901845565512, 10.627362114585626, 14.5446765852383, 9.70895223088131, 7.422284459930039, 4.6857846556322755, 6.6709450661013445, 5.5667120775785275, 3.111361158113186, 1.649396261219872, 0.0), (18.23470805401675, 18.14954393004115, 15.562384773662554, 16.706156597222225, 13.353278467239116, 6.5625, 7.424823602033405, 6.937120370370371, 7.274955740740741, 3.543656522633746, 2.512487411148522, 1.4624846364883404, 0.0, 18.225, 16.08733100137174, 12.56243705574261, 10.630969567901236, 14.549911481481482, 9.71196851851852, 7.424823602033405, 4.6875, 6.676639233619558, 5.568718865740743, 3.1124769547325113, 1.6499585390946503, 0.0), (18.253822343461476, 18.145936111111112, 15.561472222222221, 16.705415625000004, 13.359729136337823, 6.5625, 7.42342843137255, 6.934125, 7.274604999999999, 3.5429177777777783, 2.5123873737373743, 1.462362962962963, 0.0, 18.225, 16.085992592592593, 12.561936868686871, 10.628753333333332, 14.549209999999999, 9.707775, 7.42342843137255, 4.6875, 6.679864568168911, 5.568471875000002, 3.1122944444444447, 1.649630555555556, 0.0), (18.272533014380844, 18.138824588477366, 15.559670781893006, 16.70394965277778, 13.366037934713404, 6.5625, 7.420679012345679, 6.928240740740742, 7.273912037037037, 3.541463477366256, 2.512189019827909, 1.4621227709190674, 0.0, 18.225, 16.08335048010974, 12.560945099139545, 10.624390432098766, 14.547824074074073, 9.69953703703704, 7.420679012345679, 4.6875, 6.683018967356702, 5.567983217592594, 3.1119341563786014, 1.6489840534979427, 0.0), (18.290838634286462, 18.128318004115226, 15.557005144032923, 16.70177534722222, 13.372204642105325, 6.5625, 7.416618046477849, 6.919578703703704, 7.27288574074074, 3.539317818930042, 2.511894145155257, 1.4617673525377233, 0.0, 18.225, 16.079440877914955, 12.559470725776283, 10.617953456790124, 14.54577148148148, 9.687410185185186, 7.416618046477849, 4.6875, 6.686102321052663, 5.567258449074075, 3.111401028806585, 1.648028909465021, 0.0), (18.308737770689945, 18.114524999999997, 15.553500000000001, 16.698909375, 13.378229038253057, 6.5625, 7.411288235294118, 6.908250000000002, 7.271535, 3.5365050000000005, 2.5115045454545455, 1.4613000000000003, 0.0, 18.225, 16.0743, 12.557522727272728, 10.609514999999998, 14.54307, 9.671550000000002, 7.411288235294118, 4.6875, 6.689114519126528, 5.566303125, 3.1107000000000005, 1.646775, 0.0), (18.3262289911029, 18.097554218106993, 15.549180041152265, 16.695368402777778, 13.384110902896083, 6.5625, 7.404732280319536, 6.894365740740742, 7.269868703703704, 3.533049218106997, 2.5110220164609056, 1.4607240054869688, 0.0, 18.225, 16.067964060356655, 12.555110082304529, 10.599147654320989, 14.539737407407408, 9.652112037037039, 7.404732280319536, 4.6875, 6.6920554514480415, 5.565122800925927, 3.1098360082304533, 1.6452322016460905, 0.0), (18.34331086303695, 18.077514300411522, 15.54406995884774, 16.69116909722222, 13.389850015773863, 6.5625, 7.396992883079159, 6.8780370370370365, 7.267895740740741, 3.5289746707818943, 2.510448353909465, 1.4600426611796984, 0.0, 18.225, 16.06046927297668, 12.552241769547326, 10.58692401234568, 14.535791481481482, 9.629251851851851, 7.396992883079159, 4.6875, 6.694925007886932, 5.563723032407409, 3.1088139917695483, 1.6434103909465023, 0.0), (18.359981954003697, 18.054513888888888, 15.538194444444445, 16.686328125000003, 13.395446156625884, 6.5625, 7.388112745098039, 6.859375, 7.265625, 3.5243055555555567, 2.509785353535354, 1.4592592592592593, 0.0, 18.225, 16.05185185185185, 12.548926767676768, 10.572916666666668, 14.53125, 9.603125, 7.388112745098039, 4.6875, 6.697723078312942, 5.562109375000001, 3.107638888888889, 1.6413194444444446, 0.0), (18.376240831514746, 18.028661625514406, 15.531578189300415, 16.680862152777777, 13.400899105191609, 6.5625, 7.378134567901236, 6.838490740740741, 7.26306537037037, 3.5190660699588485, 2.5090348110737, 1.458377091906722, 0.0, 18.225, 16.04214801097394, 12.5451740553685, 10.557198209876542, 14.52613074074074, 9.573887037037037, 7.378134567901236, 4.6875, 6.7004495525958045, 5.56028738425926, 3.106315637860083, 1.638969238683128, 0.0), (18.392086063081717, 18.000066152263376, 15.524245884773661, 16.674787847222223, 13.406208641210513, 6.5625, 7.3671010530137995, 6.815495370370372, 7.260225740740741, 3.5132804115226346, 2.5081985222596335, 1.4573994513031552, 0.0, 18.225, 16.031393964334704, 12.540992611298167, 10.539841234567902, 14.520451481481482, 9.541693518518521, 7.3671010530137995, 4.6875, 6.703104320605257, 5.558262615740742, 3.1048491769547324, 1.6363696502057616, 0.0), (18.407516216216216, 17.96883611111111, 15.516222222222224, 16.668121874999997, 13.411374544422076, 6.5625, 7.355054901960784, 6.790500000000001, 7.257115, 3.506972777777779, 2.507278282828283, 1.4563296296296298, 0.0, 18.225, 16.019625925925926, 12.536391414141413, 10.520918333333334, 14.51423, 9.5067, 7.355054901960784, 4.6875, 6.705687272211038, 5.5560406250000005, 3.103244444444445, 1.6335305555555555, 0.0), (18.422529858429858, 17.93508014403292, 15.507531893004115, 16.660880902777777, 13.41639659456576, 6.5625, 7.342038816267248, 6.7636157407407405, 7.253742037037037, 3.500167366255145, 2.5062758885147773, 1.4551709190672155, 0.0, 18.225, 16.006880109739367, 12.531379442573886, 10.500502098765432, 14.507484074074075, 9.469062037037038, 7.342038816267248, 4.6875, 6.70819829728288, 5.553626967592593, 3.1015063786008232, 1.6304618312757202, 0.0), (18.437125557234253, 17.898906893004114, 15.49819958847737, 16.65308159722222, 13.421274571381044, 6.5625, 7.328095497458243, 6.734953703703703, 7.250115740740741, 3.4928883744855974, 2.5051931350542462, 1.4539266117969825, 0.0, 18.225, 15.993192729766804, 12.52596567527123, 10.47866512345679, 14.500231481481482, 9.428935185185185, 7.328095497458243, 4.6875, 6.710637285690522, 5.551027199074074, 3.099639917695474, 1.627173353909465, 0.0), (18.45130188014101, 17.860424999999996, 15.488249999999999, 16.644740624999997, 13.426008254607403, 6.5625, 7.313267647058823, 6.704625000000001, 7.246244999999999, 3.485160000000001, 2.504031818181818, 1.4526000000000006, 0.0, 18.225, 15.978600000000004, 12.520159090909091, 10.45548, 14.492489999999998, 9.386475, 7.313267647058823, 4.6875, 6.7130041273037016, 5.548246875, 3.0976500000000002, 1.623675, 0.0), (18.46505739466174, 17.819743106995883, 15.477707818930043, 16.63587465277778, 13.430597423984304, 6.5625, 7.2975979665940445, 6.672740740740741, 7.242138703703703, 3.477006440329219, 2.502793733632623, 1.451194375857339, 0.0, 18.225, 15.963138134430727, 12.513968668163116, 10.431019320987655, 14.484277407407406, 9.341837037037038, 7.2975979665940445, 4.6875, 6.715298711992152, 5.545291550925927, 3.0955415637860084, 1.619976646090535, 0.0), (18.47839066830806, 17.776969855967078, 15.466597736625513, 16.626500347222226, 13.435041859251228, 6.5625, 7.281129157588961, 6.639412037037038, 7.237805740740741, 3.4684518930041164, 2.5014806771417883, 1.4497130315500688, 0.0, 18.225, 15.946843347050754, 12.507403385708942, 10.405355679012347, 14.475611481481481, 9.295176851851854, 7.281129157588961, 4.6875, 6.717520929625614, 5.542166782407409, 3.0933195473251027, 1.61608816872428, 0.0), (18.491300268591576, 17.732213888888886, 15.454944444444445, 16.616634375, 13.439341340147644, 6.5625, 7.2639039215686285, 6.60475, 7.233255000000001, 3.4595205555555566, 2.500094444444445, 1.4481592592592594, 0.0, 18.225, 15.92975185185185, 12.500472222222223, 10.378561666666666, 14.466510000000001, 9.24665, 7.2639039215686285, 4.6875, 6.719670670073822, 5.538878125000001, 3.0909888888888895, 1.6120194444444444, 0.0), (18.503784763023894, 17.685583847736623, 15.442772633744857, 16.60629340277778, 13.443495646413021, 6.5625, 7.245964960058098, 6.568865740740742, 7.228495370370371, 3.4502366255144046, 2.49863683127572, 1.4465363511659812, 0.0, 18.225, 15.911899862825791, 12.4931841563786, 10.350709876543212, 14.456990740740743, 9.196412037037039, 7.245964960058098, 4.6875, 6.721747823206511, 5.535431134259261, 3.0885545267489714, 1.6077803497942387, 0.0), (18.51584271911663, 17.637188374485596, 15.430106995884776, 16.595494097222222, 13.447504557786843, 6.5625, 7.2273549745824255, 6.531870370370371, 7.22353574074074, 3.4406243004115233, 2.4971096333707448, 1.4448475994513033, 0.0, 18.225, 15.893323593964332, 12.485548166853723, 10.321872901234567, 14.44707148148148, 9.14461851851852, 7.2273549745824255, 4.6875, 6.723752278893421, 5.531831365740742, 3.0860213991769556, 1.6033807613168727, 0.0), (18.527472704381402, 17.587136111111114, 15.416972222222224, 16.584253125000004, 13.45136785400857, 6.5625, 7.208116666666666, 6.493875, 7.218385000000001, 3.4307077777777786, 2.4955146464646467, 1.4430962962962963, 0.0, 18.225, 15.874059259259258, 12.477573232323234, 10.292123333333333, 14.436770000000003, 9.091425000000001, 7.208116666666666, 4.6875, 6.725683927004285, 5.5280843750000015, 3.083394444444445, 1.598830555555556, 0.0), (18.538673286329807, 17.53553569958848, 15.403393004115227, 16.57258715277778, 13.455085314817683, 6.5625, 7.188292737835875, 6.454990740740741, 7.213052037037036, 3.420511255144034, 2.4938536662925554, 1.4412857338820306, 0.0, 18.225, 15.854143072702334, 12.469268331462775, 10.2615337654321, 14.426104074074072, 9.036987037037038, 7.188292737835875, 4.6875, 6.727542657408842, 5.524195717592594, 3.080678600823046, 1.5941396090534983, 0.0), (18.54944303247347, 17.482495781893004, 15.389394032921814, 16.560512847222224, 13.458656719953654, 6.5625, 7.1679258896151055, 6.415328703703706, 7.2075457407407395, 3.4100589300411532, 2.4921284885895996, 1.439419204389575, 0.0, 18.225, 15.833611248285322, 12.460642442947998, 10.230176790123457, 14.415091481481479, 8.981460185185188, 7.1679258896151055, 4.6875, 6.729328359976827, 5.520170949074076, 3.077878806584363, 1.5893177983539097, 0.0), (18.55978051032399, 17.428124999999998, 15.375, 16.548046875, 13.462081849155954, 6.5625, 7.147058823529412, 6.375000000000001, 7.201874999999999, 3.3993750000000014, 2.4903409090909094, 1.4375000000000002, 0.0, 18.225, 15.8125, 12.451704545454545, 10.198125000000001, 14.403749999999999, 8.925, 7.147058823529412, 4.6875, 6.731040924577977, 5.516015625000001, 3.075, 1.584375, 0.0), (18.569684287392985, 17.372531995884774, 15.360235596707819, 16.535205902777776, 13.465360482164058, 6.5625, 7.125734241103849, 6.334115740740741, 7.196048703703703, 3.388483662551441, 2.4884927235316128, 1.4355314128943761, 0.0, 18.225, 15.790845541838134, 12.442463617658062, 10.16545098765432, 14.392097407407405, 8.86776203703704, 7.125734241103849, 4.6875, 6.732680241082029, 5.511735300925927, 3.072047119341564, 1.5793210905349795, 0.0), (18.579152931192063, 17.31582541152263, 15.345125514403293, 16.522006597222223, 13.46849239871744, 6.5625, 7.103994843863473, 6.292787037037037, 7.190075740740742, 3.3774091152263384, 2.486585727646839, 1.4335167352537728, 0.0, 18.225, 15.768684087791497, 12.432928638234193, 10.132227345679013, 14.380151481481484, 8.809901851851851, 7.103994843863473, 4.6875, 6.73424619935872, 5.507335532407408, 3.069025102880659, 1.5741659465020577, 0.0), (18.588185009232834, 17.258113888888886, 15.329694444444444, 16.508465625, 13.471477378555573, 6.5625, 7.081883333333334, 6.251125000000001, 7.183965000000001, 3.3661755555555564, 2.4846217171717173, 1.4314592592592594, 0.0, 18.225, 15.746051851851853, 12.423108585858586, 10.098526666666666, 14.367930000000001, 8.751575, 7.081883333333334, 4.6875, 6.735738689277786, 5.502821875000001, 3.065938888888889, 1.5689194444444445, 0.0), (18.596779089026917, 17.199506069958847, 15.313967078189304, 16.49459965277778, 13.47431520141793, 6.5625, 7.059442411038489, 6.209240740740741, 7.17772537037037, 3.35480718106996, 2.4826024878413775, 1.4293622770919072, 0.0, 18.225, 15.722985048010976, 12.413012439206886, 10.064421543209878, 14.35545074074074, 8.692937037037037, 7.059442411038489, 4.6875, 6.737157600708965, 5.498199884259261, 3.0627934156378607, 1.5635914609053498, 0.0), (18.604933738085908, 17.140110596707824, 15.297968106995889, 16.480425347222223, 13.477005647043978, 6.5625, 7.0367147785039945, 6.16724537037037, 7.1713657407407405, 3.3433281893004123, 2.480529835390947, 1.427229080932785, 0.0, 18.225, 15.699519890260632, 12.402649176954732, 10.029984567901234, 14.342731481481481, 8.634143518518519, 7.0367147785039945, 4.6875, 6.738502823521989, 5.4934751157407415, 3.059593621399178, 1.5581918724279842, 0.0), (18.61264752392144, 17.080036111111113, 15.281722222222223, 16.465959375, 13.479548495173198, 6.5625, 7.013743137254902, 6.12525, 7.164895000000001, 3.3317627777777785, 2.478405555555556, 1.4250629629629634, 0.0, 18.225, 15.675692592592595, 12.392027777777779, 9.995288333333333, 14.329790000000003, 8.57535, 7.013743137254902, 4.6875, 6.739774247586599, 5.488653125000001, 3.0563444444444445, 1.552730555555556, 0.0), (18.619919014045102, 17.019391255144033, 15.26525411522634, 16.45121840277778, 13.481943525545056, 6.5625, 6.9905701888162675, 6.08336574074074, 7.158322037037037, 3.320135144032923, 2.4762314440703332, 1.4228672153635122, 0.0, 18.225, 15.651539368998632, 12.381157220351666, 9.960405432098767, 14.316644074074073, 8.516712037037037, 6.9905701888162675, 4.6875, 6.740971762772528, 5.483739467592594, 3.0530508230452678, 1.547217386831276, 0.0), (18.626746775968517, 16.958284670781893, 15.248588477366258, 16.43621909722222, 13.484190517899034, 6.5625, 6.967238634713145, 6.041703703703704, 7.1516557407407415, 3.3084694855967087, 2.4740092966704084, 1.4206451303155008, 0.0, 18.225, 15.627096433470507, 12.37004648335204, 9.925408456790123, 14.303311481481483, 8.458385185185186, 6.967238634713145, 4.6875, 6.742095258949517, 5.478739699074075, 3.049717695473252, 1.5416622427983542, 0.0), (18.63312937720329, 16.896825000000003, 15.23175, 16.420978125, 13.486289251974604, 6.5625, 6.943791176470588, 6.000374999999999, 7.144905, 3.296790000000001, 2.4717409090909093, 1.4184000000000003, 0.0, 18.225, 15.602400000000001, 12.358704545454545, 9.89037, 14.28981, 8.400525, 6.943791176470588, 4.6875, 6.743144625987302, 5.473659375000001, 3.04635, 1.5360750000000005, 0.0), (18.63906538526104, 16.835120884773662, 15.2147633744856, 16.405512152777778, 13.488239507511228, 6.5625, 6.9202705156136535, 5.9594907407407405, 7.1380787037037035, 3.2851208847736637, 2.4694280770669663, 1.4161351165980798, 0.0, 18.225, 15.577486282578874, 12.34714038533483, 9.855362654320988, 14.276157407407407, 8.343287037037037, 6.9202705156136535, 4.6875, 6.744119753755614, 5.468504050925927, 3.04295267489712, 1.530465534979424, 0.0), (18.64455336765337, 16.77328096707819, 15.197653292181073, 16.389837847222225, 13.49004106424839, 6.5625, 6.896719353667393, 5.9191620370370375, 7.131185740740741, 3.2734863374485608, 2.467072596333708, 1.4138537722908093, 0.0, 18.225, 15.5523914951989, 12.335362981668538, 9.82045901234568, 14.262371481481482, 8.286826851851853, 6.896719353667393, 4.6875, 6.745020532124195, 5.463279282407409, 3.0395306584362145, 1.5248437242798356, 0.0), (18.649591891891887, 16.711413888888888, 15.180444444444445, 16.373971875, 13.49169370192556, 6.5625, 6.873180392156863, 5.879500000000001, 7.124235, 3.2619105555555565, 2.4646762626262633, 1.4115592592592594, 0.0, 18.225, 15.527151851851851, 12.323381313131314, 9.785731666666667, 14.24847, 8.231300000000001, 6.873180392156863, 4.6875, 6.74584685096278, 5.457990625000001, 3.0360888888888895, 1.5192194444444447, 0.0), (18.654179525488225, 16.64962829218107, 15.163161522633745, 16.357930902777774, 13.49319720028221, 6.5625, 6.849696332607118, 5.840615740740741, 7.11723537037037, 3.2504177366255154, 2.4622408716797612, 1.4092548696844995, 0.0, 18.225, 15.501803566529492, 12.311204358398806, 9.751253209876543, 14.23447074074074, 8.176862037037038, 6.849696332607118, 4.6875, 6.746598600141105, 5.4526436342592595, 3.032632304526749, 1.5136025720164612, 0.0), (18.658314835953966, 16.58803281893004, 15.145829218106996, 16.34173159722222, 13.494551339057814, 6.5625, 6.82630987654321, 5.802620370370371, 7.110195740740741, 3.2390320781893016, 2.4597682192293306, 1.4069438957475995, 0.0, 18.225, 15.476382853223592, 12.298841096146651, 9.717096234567903, 14.220391481481482, 8.12366851851852, 6.82630987654321, 4.6875, 6.747275669528907, 5.447243865740742, 3.0291658436213997, 1.5080029835390947, 0.0), (18.661996390800738, 16.526736111111113, 15.128472222222221, 16.325390625, 13.495755897991843, 6.5625, 6.803063725490196, 5.765625, 7.103125, 3.2277777777777787, 2.4572601010101014, 1.40462962962963, 0.0, 18.225, 15.450925925925928, 12.286300505050505, 9.683333333333334, 14.20625, 8.071875, 6.803063725490196, 4.6875, 6.747877948995922, 5.441796875000001, 3.0256944444444445, 1.502430555555556, 0.0), (18.665222757540146, 16.465846810699592, 15.111115226337452, 16.308924652777776, 13.496810656823772, 6.5625, 6.780000580973129, 5.729740740740741, 7.0960320370370376, 3.216679032921812, 2.4547183127572016, 1.40231536351166, 0.0, 18.225, 15.425468998628258, 12.273591563786008, 9.650037098765434, 14.192064074074075, 8.021637037037038, 6.780000580973129, 4.6875, 6.748405328411886, 5.436308217592593, 3.0222230452674905, 1.496895164609054, 0.0), (18.66799250368381, 16.40547355967078, 15.093782921810703, 16.292350347222225, 13.497715395293081, 6.5625, 6.757163144517066, 5.695078703703705, 7.088925740740741, 3.2057600411522644, 2.4521446502057613, 1.4000043895747603, 0.0, 18.225, 15.40004828532236, 12.260723251028807, 9.61728012345679, 14.177851481481483, 7.973110185185186, 6.757163144517066, 4.6875, 6.748857697646541, 5.430783449074076, 3.018756584362141, 1.4914066872427985, 0.0), (18.670304196743327, 16.345724999999998, 15.0765, 16.275684375, 13.498469893139227, 6.5625, 6.734594117647059, 5.6617500000000005, 7.081815, 3.195045000000001, 2.4495409090909095, 1.3977000000000002, 0.0, 18.225, 15.3747, 12.247704545454548, 9.585135, 14.16363, 7.926450000000001, 6.734594117647059, 4.6875, 6.749234946569613, 5.425228125000001, 3.0153000000000003, 1.485975, 0.0), (18.672156404230314, 16.286709773662555, 15.059291152263373, 16.258943402777778, 13.499073930101698, 6.5625, 6.712336201888163, 5.629865740740741, 7.0747087037037035, 3.1845581069958855, 2.446908885147774, 1.3954054869684502, 0.0, 18.225, 15.34946035665295, 12.23454442573887, 9.553674320987653, 14.149417407407407, 7.881812037037038, 6.712336201888163, 4.6875, 6.749536965050849, 5.419647800925927, 3.011858230452675, 1.4806099794238687, 0.0), (18.67354769365639, 16.228536522633743, 15.042181069958849, 16.242144097222223, 13.49952728591996, 6.5625, 6.690432098765433, 5.599537037037037, 7.067615740740742, 3.1743235596707824, 2.4442503741114856, 1.3931241426611796, 0.0, 18.225, 15.324365569272972, 12.221251870557428, 9.522970679012344, 14.135231481481483, 7.839351851851852, 6.690432098765433, 4.6875, 6.74976364295998, 5.4140480324074085, 3.00843621399177, 1.4753215020576131, 0.0), (18.674476632533153, 16.17131388888889, 15.025194444444447, 16.225303125, 13.499829740333489, 6.5625, 6.668924509803921, 5.570875000000001, 7.060545000000001, 3.1643655555555563, 2.4415671717171716, 1.3908592592592597, 0.0, 18.225, 15.299451851851854, 12.207835858585858, 9.493096666666666, 14.121090000000002, 7.799225000000001, 6.668924509803921, 4.6875, 6.749914870166744, 5.408434375000001, 3.0050388888888895, 1.4701194444444448, 0.0), (18.674941788372227, 16.11515051440329, 15.00835596707819, 16.208437152777776, 13.499981073081756, 6.5625, 6.647856136528685, 5.543990740740742, 7.05350537037037, 3.154708292181071, 2.438861073699963, 1.3886141289437586, 0.0, 18.225, 15.274755418381341, 12.194305368499816, 9.464124876543211, 14.10701074074074, 7.761587037037039, 6.647856136528685, 4.6875, 6.749990536540878, 5.40281238425926, 3.001671193415638, 1.465013683127572, 0.0), (18.674624906065485, 16.059860254878533, 14.99160892489712, 16.19141634963768, 13.499853546356814, 6.56237821216278, 6.627163675346682, 5.518757887517148, 7.046452709190673, 3.145329198741226, 2.436085796562113, 1.3863795032849615, 0.0, 18.22477527006173, 15.250174536134574, 12.180428982810565, 9.435987596223676, 14.092905418381346, 7.726261042524007, 6.627163675346682, 4.6874130086877, 6.749926773178407, 5.3971387832125615, 2.998321784979424, 1.4599872958980487, 0.0), (18.671655072463768, 16.00375510752688, 14.974482638888889, 16.173382744565217, 13.498692810457515, 6.561415432098766, 6.606241363211952, 5.493824074074074, 7.039078703703703, 3.1359628758169937, 2.4329588516746417, 1.3840828460038987, 0.0, 18.222994791666668, 15.224911306042884, 12.164794258373206, 9.407888627450978, 14.078157407407407, 7.6913537037037045, 6.606241363211952, 4.686725308641976, 6.749346405228757, 5.391127581521739, 2.994896527777778, 1.4548868279569895, 0.0), (18.665794417606012, 15.946577558741536, 14.956902649176953, 16.154217617753623, 13.496399176954732, 6.559519318701418, 6.5849941211052325, 5.468964334705077, 7.031341735253773, 3.1265637860082314, 2.429444665957824, 1.3817134141939216, 0.0, 18.219478202160495, 15.198847556133135, 12.147223329789119, 9.379691358024692, 14.062683470507546, 7.656550068587107, 6.5849941211052325, 4.685370941929584, 6.748199588477366, 5.384739205917875, 2.9913805298353906, 1.4496888689765035, 0.0), (18.657125389157272, 15.888361778176023, 14.938875128600824, 16.133949230072467, 13.493001694504963, 6.556720598994056, 6.56343149358509, 5.444186899862826, 7.023253326474624, 3.1171321617041885, 2.425556211235159, 1.3792729405819073, 0.0, 18.21427179783951, 15.172002346400978, 12.127781056175793, 9.351396485112563, 14.046506652949247, 7.621861659807958, 6.56343149358509, 4.683371856424325, 6.746500847252482, 5.377983076690823, 2.987775025720165, 1.4443965252887296, 0.0), (18.64573043478261, 15.82914193548387, 14.92040625, 16.112605842391304, 13.488529411764706, 6.553050000000001, 6.541563025210084, 5.4195, 7.014825, 3.1076682352941183, 2.421306459330144, 1.376763157894737, 0.0, 18.207421875, 15.144394736842104, 12.10653229665072, 9.323004705882353, 14.02965, 7.587300000000001, 6.541563025210084, 4.680750000000001, 6.744264705882353, 5.370868614130436, 2.98408125, 1.4390129032258066, 0.0), (18.631692002147076, 15.768952200318596, 14.90150218621399, 16.09021571557971, 13.483011377390461, 6.548538248742569, 6.519398260538782, 5.394911865569274, 7.006068278463649, 3.0981722391672726, 2.4167083820662767, 1.374185798859288, 0.0, 18.198974729938275, 15.116043787452165, 12.083541910331384, 9.294516717501814, 14.012136556927299, 7.552876611796983, 6.519398260538782, 4.677527320530407, 6.741505688695231, 5.363405238526571, 2.9803004372427986, 1.4335411091198726, 0.0), (18.61509253891573, 15.707826742333731, 14.882169110082302, 16.06680711050725, 13.47647664003873, 6.543216072245086, 6.49694674412975, 5.37043072702332, 6.996994684499314, 3.0886444057129037, 2.411774951267057, 1.3715425962024403, 0.0, 18.18897665895062, 15.086968558226841, 12.058874756335285, 9.26593321713871, 13.993989368998628, 7.518603017832648, 6.49694674412975, 4.673725765889347, 6.738238320019365, 5.355602370169083, 2.976433822016461, 1.4279842493030668, 0.0), (18.59601449275362, 15.645799731182793, 14.862413194444443, 16.04240828804348, 13.468954248366014, 6.537114197530865, 6.47421802054155, 5.346064814814815, 6.98761574074074, 3.0790849673202625, 2.406519138755981, 1.3688352826510723, 0.0, 18.177473958333334, 15.057188109161793, 12.032595693779903, 9.237254901960785, 13.97523148148148, 7.484490740740742, 6.47421802054155, 4.669367283950618, 6.734477124183007, 5.347469429347827, 2.9724826388888888, 1.422345430107527, 0.0), (18.57454031132582, 15.582905336519316, 14.842240612139918, 16.01704750905797, 13.460473251028805, 6.53026335162323, 6.451221634332746, 5.321822359396434, 6.977942969821673, 3.069494156378602, 2.400953916356548, 1.3660655909320625, 0.0, 18.164512924382716, 15.026721500252684, 12.004769581782737, 9.208482469135802, 13.955885939643347, 7.450551303155008, 6.451221634332746, 4.664473822588021, 6.730236625514403, 5.339015836352658, 2.9684481224279837, 1.4166277578653925, 0.0), (18.55075244229737, 15.519177727996816, 14.821657536008228, 15.99075303442029, 13.451062696683609, 6.522694261545496, 6.4279671300619015, 5.2977115912208514, 6.967987894375857, 3.059872205277174, 2.3950922558922563, 1.3632352537722912, 0.0, 18.150139853395064, 14.9955877914952, 11.975461279461282, 9.179616615831518, 13.935975788751714, 7.416796227709193, 6.4279671300619015, 4.659067329675354, 6.725531348341804, 5.330251011473431, 2.964331507201646, 1.4108343389088016, 0.0), (18.524733333333334, 15.45465107526882, 14.80067013888889, 15.963553124999999, 13.440751633986928, 6.514437654320987, 6.404464052287582, 5.273740740740742, 6.957762037037036, 3.0502193464052296, 2.388947129186603, 1.3603460038986357, 0.0, 18.134401041666667, 14.963806042884991, 11.944735645933015, 9.150658039215687, 13.915524074074073, 7.383237037037039, 6.404464052287582, 4.653169753086419, 6.720375816993464, 5.3211843750000005, 2.960134027777778, 1.404968279569893, 0.0), (18.496565432098766, 15.389359547988851, 14.779284593621398, 15.935476041666668, 13.429569111595256, 6.505524256973022, 6.380721945568351, 5.249918038408779, 6.947276920438957, 3.0405358121520223, 2.382531508063087, 1.3573995740379758, 0.0, 18.117342785493825, 14.931395314417731, 11.912657540315433, 9.121607436456063, 13.894553840877913, 7.349885253772292, 6.380721945568351, 4.646803040695016, 6.714784555797628, 5.311825347222223, 2.95585691872428, 1.399032686180805, 0.0), (18.466331186258724, 15.323337315810434, 14.757507073045266, 15.906550045289855, 13.417544178165095, 6.49598479652492, 6.356750354462773, 5.226251714677641, 6.9365440672153635, 3.030821834906803, 2.375858364345207, 1.3543976969171905, 0.0, 18.09901138117284, 14.898374666089092, 11.879291821726033, 9.092465504720405, 13.873088134430727, 7.316752400548698, 6.356750354462773, 4.639989140374943, 6.708772089082547, 5.302183348429953, 2.9515014146090537, 1.3930306650736761, 0.0), (18.434113043478263, 15.256618548387095, 14.735343749999998, 15.876803396739131, 13.404705882352939, 6.48585, 6.3325588235294115, 5.202750000000001, 6.925574999999999, 3.0210776470588248, 2.36894066985646, 1.3513421052631582, 0.0, 18.079453124999997, 14.864763157894737, 11.844703349282298, 9.063232941176471, 13.851149999999999, 7.283850000000001, 6.3325588235294115, 4.63275, 6.7023529411764695, 5.292267798913045, 2.94706875, 1.3869653225806453, 0.0), (18.399993451422436, 15.189237415372364, 14.712800797325105, 15.846264356884058, 13.391083272815298, 6.475150594421583, 6.308156897326833, 5.179421124828533, 6.914381241426612, 3.011303480997338, 2.3617913964203443, 1.3482345318027582, 0.0, 18.058714313271608, 14.830579849830338, 11.80895698210172, 9.03391044299201, 13.828762482853223, 7.2511895747599455, 6.308156897326833, 4.625107567443988, 6.695541636407649, 5.2820881189613536, 2.9425601594650215, 1.3808397650338515, 0.0), (18.364054857756308, 15.121228086419752, 14.689884387860083, 15.8149611865942, 13.376705398208665, 6.463917306812986, 6.283554120413598, 5.156273319615913, 6.902974314128944, 3.001499569111596, 2.3544235158603586, 1.3450767092628693, 0.0, 18.036841242283952, 14.79584380189156, 11.772117579301792, 9.004498707334786, 13.805948628257887, 7.218782647462278, 6.283554120413598, 4.617083790580704, 6.688352699104333, 5.2716537288647345, 2.9379768775720168, 1.374657098765432, 0.0), (18.326379710144927, 15.052624731182796, 14.666600694444444, 15.78292214673913, 13.361601307189542, 6.452180864197532, 6.258760037348273, 5.133314814814815, 6.89136574074074, 2.9916661437908503, 2.3468500000000003, 1.3418703703703705, 0.0, 18.013880208333333, 14.760574074074073, 11.73425, 8.97499843137255, 13.78273148148148, 7.186640740740741, 6.258760037348273, 4.608700617283951, 6.680800653594771, 5.260974048913044, 2.933320138888889, 1.3684204301075271, 0.0), (18.287050456253354, 14.983461519315012, 14.642955889917694, 15.750175498188408, 13.345800048414427, 6.439971993598538, 6.233784192689422, 5.110553840877915, 6.879567043895747, 2.981803437424353, 2.3390838206627684, 1.338617247852141, 0.0, 17.989877507716052, 14.724789726373547, 11.69541910331384, 8.945410312273058, 13.759134087791494, 7.154775377229082, 6.233784192689422, 4.5999799954275264, 6.672900024207213, 5.250058499396137, 2.928591177983539, 1.362132865392274, 0.0), (18.246149543746643, 14.913772620469931, 14.618956147119343, 15.716749501811597, 13.32933067053982, 6.427321422039324, 6.208636130995608, 5.087998628257887, 6.86758974622771, 2.9719116824013563, 2.3311379496721605, 1.3353190744350594, 0.0, 17.964879436728395, 14.68850981878565, 11.655689748360802, 8.915735047204068, 13.73517949245542, 7.123198079561043, 6.208636130995608, 4.590943872885232, 6.66466533526991, 5.2389165006038665, 2.923791229423869, 1.3557975109518121, 0.0), (18.203759420289852, 14.843592204301075, 14.594607638888888, 15.68267241847826, 13.312222222222225, 6.41425987654321, 6.1833253968253965, 5.065657407407408, 6.855445370370372, 2.9619911111111112, 2.323025358851675, 1.3319775828460039, 0.0, 17.938932291666667, 14.651753411306041, 11.615126794258373, 8.885973333333332, 13.710890740740744, 7.091920370370371, 6.1833253968253965, 4.581614197530865, 6.656111111111112, 5.227557472826088, 2.9189215277777776, 1.3494174731182798, 0.0), (18.159962533548043, 14.772954440461966, 14.569916538065844, 15.647972509057974, 13.294503752118132, 6.400818084133517, 6.157861534737352, 5.043538408779149, 6.843145438957476, 2.952041955942871, 2.31475902002481, 1.328594505811855, 0.0, 17.912082368827164, 14.614539563930402, 11.573795100124048, 8.856125867828611, 13.686290877914953, 7.06095377229081, 6.157861534737352, 4.572012917238227, 6.647251876059066, 5.215990836352659, 2.913983307613169, 1.3429958582238153, 0.0), (18.11484133118626, 14.701893498606132, 14.544889017489714, 15.612678034420288, 13.276204308884047, 6.387026771833563, 6.132254089290037, 5.0216498628257895, 6.830701474622771, 2.942064449285888, 2.3063519050150636, 1.3251715760594904, 0.0, 17.884375964506173, 14.576887336654393, 11.531759525075316, 8.826193347857663, 13.661402949245542, 7.0303098079561055, 6.132254089290037, 4.562161979881116, 6.638102154442024, 5.2042260114734304, 2.908977803497943, 1.3365357726005578, 0.0), (18.068478260869565, 14.630443548387097, 14.519531250000002, 15.576817255434786, 13.257352941176471, 6.372916666666668, 6.106512605042017, 5.0, 6.818125, 2.9320588235294123, 2.2978169856459334, 1.3217105263157898, 0.0, 17.855859375, 14.538815789473684, 11.489084928229666, 8.796176470588236, 13.63625, 7.0, 6.106512605042017, 4.552083333333334, 6.6286764705882355, 5.192272418478263, 2.903906250000001, 1.3300403225806454, 0.0), (18.020955770263015, 14.558638759458383, 14.493849408436214, 15.540418432971018, 13.237978697651899, 6.35851849565615, 6.0806466265518555, 4.978597050754459, 6.80542753772291, 2.922025311062697, 2.2891672337409186, 1.3182130893076314, 0.0, 17.826578896604936, 14.500343982383942, 11.445836168704592, 8.76607593318809, 13.61085507544582, 6.9700358710562424, 6.0806466265518555, 4.541798925468679, 6.6189893488259495, 5.180139477657007, 2.898769881687243, 1.3235126144962168, 0.0), (17.97235630703167, 14.486513301473519, 14.467849665637862, 15.50350982789855, 13.218110626966835, 6.343862985825332, 6.054665698378118, 4.957449245541839, 6.7926206104252405, 2.9119641442749944, 2.2804156211235163, 1.3146809977618947, 0.0, 17.796580825617283, 14.46149097538084, 11.40207810561758, 8.735892432824983, 13.585241220850481, 6.940428943758574, 6.054665698378118, 4.531330704160951, 6.609055313483418, 5.167836609299518, 2.8935699331275724, 1.3169557546794108, 0.0), (17.92276231884058, 14.414101344086022, 14.441538194444446, 15.46611970108696, 13.197777777777777, 6.328980864197531, 6.0285793650793655, 4.936564814814815, 6.779715740740741, 2.9018755555555558, 2.2715751196172254, 1.3111159844054583, 0.0, 17.76591145833333, 14.422275828460037, 11.357875598086125, 8.705626666666666, 13.559431481481482, 6.911190740740742, 6.0285793650793655, 4.520700617283951, 6.598888888888888, 5.155373233695654, 2.888307638888889, 1.3103728494623659, 0.0), (17.872256253354806, 14.341437056949422, 14.414921167695475, 15.428276313405796, 13.177009198741224, 6.313902857796068, 6.002397171214165, 4.915951989026064, 6.766724451303155, 2.891759777293634, 2.2626587010455435, 1.3075197819652014, 0.0, 17.734617091049383, 14.382717601617212, 11.313293505227715, 8.675279331880901, 13.53344890260631, 6.88233278463649, 6.002397171214165, 4.509930612711477, 6.588504599370612, 5.1427587711352665, 2.882984233539095, 1.3037670051772203, 0.0), (17.820920558239397, 14.268554609717246, 14.388004758230455, 15.390007925724635, 13.155833938513677, 6.298659693644262, 5.97612866134108, 4.895618998628259, 6.753658264746228, 2.88161704187848, 2.253679337231969, 1.3038941231680024, 0.0, 17.70274402006173, 14.342835354848022, 11.268396686159845, 8.644851125635439, 13.507316529492456, 6.853866598079563, 5.97612866134108, 4.49904263831733, 6.577916969256838, 5.130002641908213, 2.8776009516460914, 1.2971413281561135, 0.0), (17.76883768115942, 14.195488172043014, 14.360795138888891, 15.351342798913045, 13.134281045751635, 6.283282098765432, 5.9497833800186735, 4.875574074074075, 6.740528703703703, 2.8714475816993468, 2.2446500000000005, 1.300240740740741, 0.0, 17.67033854166667, 14.30264814814815, 11.22325, 8.614342745098039, 13.481057407407405, 6.825803703703705, 5.9497833800186735, 4.488058641975309, 6.5671405228758175, 5.117114266304349, 2.8721590277777787, 1.2904989247311833, 0.0), (17.716090069779927, 14.12227191358025, 14.333298482510289, 15.31230919384058, 13.112379569111596, 6.267800800182899, 5.9233708718055125, 4.855825445816188, 6.727347290809328, 2.8612516291454857, 2.235583661173135, 1.2965613674102956, 0.0, 17.637446952160495, 14.262175041513249, 11.177918305865674, 8.583754887436456, 13.454694581618655, 6.798155624142662, 5.9233708718055125, 4.477000571559214, 6.556189784555798, 5.104103064613527, 2.8666596965020577, 1.2838429012345685, 0.0), (17.66276017176597, 14.048940003982477, 14.305520961934155, 15.27293537137681, 13.090158557250064, 6.252246524919983, 5.896900681260158, 4.83638134430727, 6.714125548696844, 2.851029416606149, 2.226493292574872, 1.2928577359035447, 0.0, 17.604115547839505, 14.22143509493899, 11.13246646287436, 8.553088249818446, 13.428251097393687, 6.770933882030178, 5.896900681260158, 4.465890374942845, 6.545079278625032, 5.090978457125605, 2.8611041923868314, 1.277176363998407, 0.0), (17.608930434782607, 13.975526612903225, 14.277468750000002, 15.233249592391303, 13.067647058823532, 6.23665, 5.870382352941177, 4.8172500000000005, 6.700875, 2.8407811764705886, 2.2173918660287084, 1.2891315789473687, 0.0, 17.570390625, 14.180447368421053, 11.086959330143541, 8.522343529411764, 13.40175, 6.744150000000001, 5.870382352941177, 4.45475, 6.533823529411766, 5.0777498641304355, 2.8554937500000004, 1.2705024193548389, 0.0), (17.5546833064949, 13.902065909996015, 14.249148019547325, 15.193280117753623, 13.044874122488501, 6.2210419524462734, 5.843825431407131, 4.798439643347051, 6.687607167352539, 2.8305071411280567, 2.2082923533581433, 1.285384629268645, 0.0, 17.536318479938274, 14.139230921955095, 11.041461766790714, 8.49152142338417, 13.375214334705078, 6.717815500685871, 5.843825431407131, 4.443601394604481, 6.522437061244251, 5.064426705917875, 2.8498296039094653, 1.2638241736360014, 0.0), (17.500101234567904, 13.828592064914377, 14.22056494341564, 15.153055208333335, 13.021868796901476, 6.205453109282122, 5.817239461216586, 4.7799585048010975, 6.674333573388203, 2.820207542967805, 2.1992077263866743, 1.281618619594253, 0.0, 17.501945408950615, 14.097804815536781, 10.99603863193337, 8.460622628903414, 13.348667146776407, 6.691941906721536, 5.817239461216586, 4.432466506630087, 6.510934398450738, 5.051018402777779, 2.8441129886831282, 1.2571447331740344, 0.0), (17.44526666666667, 13.755139247311828, 14.191725694444445, 15.112603125, 12.998660130718955, 6.189914197530865, 5.790633986928105, 4.761814814814815, 6.66106574074074, 2.809882614379086, 2.1901509569377993, 1.2778352826510724, 0.0, 17.467317708333336, 14.056188109161795, 10.950754784688995, 8.429647843137257, 13.32213148148148, 6.666540740740741, 5.790633986928105, 4.421367283950618, 6.499330065359477, 5.037534375000001, 2.838345138888889, 1.2504672043010754, 0.0), (17.390262050456254, 13.681741626841896, 14.16263644547325, 15.071952128623188, 12.975277172597433, 6.174455944215821, 5.764018553100253, 4.7440168038408785, 6.647815192043895, 2.7995325877511505, 2.181135016835017, 1.2740363511659811, 0.0, 17.432481674382714, 14.014399862825789, 10.905675084175085, 8.39859776325345, 13.29563038408779, 6.64162352537723, 5.764018553100253, 4.410325674439872, 6.487638586298717, 5.023984042874397, 2.8325272890946502, 1.2437946933492634, 0.0), (17.335169833601718, 13.608433373158105, 14.133303369341563, 15.031130480072465, 12.951748971193414, 6.159109076360311, 5.737402704291593, 4.7265727023319615, 6.634593449931413, 2.7891576954732518, 2.1721728779018252, 1.2702235578658583, 0.0, 17.397483603395063, 13.972459136524439, 10.860864389509127, 8.367473086419754, 13.269186899862826, 6.617201783264746, 5.737402704291593, 4.399363625971651, 6.475874485596707, 5.010376826690822, 2.826660673868313, 1.237130306650737, 0.0), (17.280072463768114, 13.535248655913978, 14.103732638888891, 14.99016644021739, 12.928104575163397, 6.143904320987655, 5.710795985060692, 4.709490740740741, 6.621412037037037, 2.7787581699346413, 2.1632775119617227, 1.2663986354775831, 0.0, 17.362369791666666, 13.930384990253412, 10.816387559808613, 8.336274509803923, 13.242824074074074, 6.5932870370370384, 5.710795985060692, 4.388503086419754, 6.464052287581699, 4.996722146739131, 2.820746527777778, 1.2304771505376346, 0.0), (17.225052388620504, 13.462221644763043, 14.073930426954732, 14.949088269927536, 12.904373033163882, 6.128872405121171, 5.68420793996611, 4.6927791495198905, 6.608282475994512, 2.7683342435245706, 2.1544618908382067, 1.2625633167280343, 0.0, 17.327186535493826, 13.888196484008375, 10.772309454191033, 8.30500273057371, 13.216564951989024, 6.5698908093278465, 5.68420793996611, 4.377766003657979, 6.452186516581941, 4.98302942330918, 2.8147860853909465, 1.223838331342095, 0.0), (17.17019205582394, 13.389386509358822, 14.043902906378605, 14.907924230072464, 12.880583393851367, 6.114044055784181, 5.657648113566415, 4.6764461591220865, 6.595216289437586, 2.7578861486322928, 2.145738986354776, 1.2587193343440908, 0.0, 17.29198013117284, 13.845912677784996, 10.728694931773878, 8.273658445896878, 13.190432578875171, 6.547024622770921, 5.657648113566415, 4.367174325560129, 6.440291696925684, 4.969308076690822, 2.808780581275721, 1.2172169553962566, 0.0), (17.11557391304348, 13.31677741935484, 14.013656250000002, 14.866702581521741, 12.856764705882352, 6.099450000000001, 5.631126050420168, 4.660500000000001, 6.582225000000001, 2.7474141176470597, 2.1371217703349283, 1.2548684210526317, 0.0, 17.256796875000003, 13.803552631578947, 10.685608851674642, 8.242242352941178, 13.164450000000002, 6.524700000000001, 5.631126050420168, 4.356750000000001, 6.428382352941176, 4.955567527173915, 2.8027312500000003, 1.2106161290322583, 0.0), (17.061280407944178, 13.24442854440462, 13.983196630658439, 14.825451585144926, 12.832946017913338, 6.085120964791952, 5.604651295085936, 4.644948902606311, 6.569320130315501, 2.736918382958122, 2.1286232146021624, 1.2510123095805359, 0.0, 17.221683063271605, 13.761135405385891, 10.64311607301081, 8.210755148874364, 13.138640260631002, 6.502928463648835, 5.604651295085936, 4.346514974851394, 6.416473008956669, 4.941817195048309, 2.796639326131688, 1.2040389585822384, 0.0), (17.007393988191087, 13.17237405416169, 13.95253022119342, 14.784199501811596, 12.809156378600825, 6.071087677183356, 5.57823339212228, 4.62980109739369, 6.556513203017833, 2.726399176954733, 2.120256290979975, 1.2471527326546823, 0.0, 17.18668499228395, 13.718680059201501, 10.601281454899876, 8.179197530864197, 13.113026406035665, 6.4817215363511655, 5.57823339212228, 4.336491197988112, 6.404578189300413, 4.928066500603866, 2.790506044238684, 1.1974885503783357, 0.0), (16.953997101449275, 13.10064811827957, 13.921663194444447, 14.742974592391306, 12.785424836601308, 6.0573808641975315, 5.551881886087768, 4.615064814814815, 6.543815740740741, 2.715856732026144, 2.1120339712918663, 1.2432914230019496, 0.0, 17.151848958333336, 13.676205653021444, 10.56016985645933, 8.147570196078432, 13.087631481481482, 6.461090740740741, 5.551881886087768, 4.326700617283951, 6.392712418300654, 4.914324864130436, 2.78433263888889, 1.1909680107526885, 0.0), (16.90117219538379, 13.029284906411787, 13.890601723251033, 14.701805117753622, 12.76178044057129, 6.044031252857797, 5.5256063215409625, 4.60074828532236, 6.531239266117969, 2.7052912805616076, 2.103969227361333, 1.2394301133492167, 0.0, 17.11722125771605, 13.633731246841382, 10.519846136806663, 8.115873841684822, 13.062478532235938, 6.441047599451304, 5.5256063215409625, 4.3171651806127125, 6.380890220285645, 4.900601705917875, 2.778120344650207, 1.1844804460374354, 0.0), (16.84890760266548, 12.958437720996821, 13.859426742378105, 14.660775741364255, 12.738210816208445, 6.03106325767524, 5.499473367291093, 4.586889426585454, 6.518827686755172, 2.694737131475729, 2.0960771718458604, 1.2355789404756645, 0.0, 17.0827990215178, 13.591368345232306, 10.480385859229301, 8.084211394427186, 13.037655373510344, 6.421645197219636, 5.499473367291093, 4.307902326910885, 6.369105408104223, 4.886925247121419, 2.7718853484756214, 1.178039792817893, 0.0), (16.796665616220118, 12.888805352817133, 13.828568512532428, 14.620215718724406, 12.71447202547959, 6.018447338956397, 5.473816387569522, 4.57365844462884, 6.506771421427836, 2.684391825560753, 2.0883733011339594, 1.2317868258169462, 0.0, 17.048295745488062, 13.549655083986407, 10.441866505669795, 8.053175476682258, 13.013542842855673, 6.403121822480377, 5.473816387569522, 4.298890956397426, 6.357236012739795, 4.873405239574803, 2.7657137025064857, 1.1717095775288306, 0.0), (16.744292825407193, 12.820412877827026, 13.798045399060976, 14.580114081995404, 12.690489213466321, 6.006150688123703, 5.448653685172405, 4.561051990709032, 6.495074987201274, 2.674271397594635, 2.0808463534281283, 1.2280556373838278, 0.0, 17.013611936988678, 13.508612011222104, 10.404231767140642, 8.022814192783905, 12.990149974402549, 6.385472786992645, 5.448653685172405, 4.290107634374073, 6.345244606733161, 4.860038027331802, 2.7596090798121957, 1.165492079802457, 0.0), (16.691723771827743, 12.753160664131308, 13.767798284975811, 14.540399302859647, 12.666226231660534, 5.994144321151453, 5.423944335775104, 4.549035234674245, 6.483708803536698, 2.6643570113022967, 2.0734817793814444, 1.224378479623102, 0.0, 16.978693067560602, 13.46816327585412, 10.367408896907222, 7.9930710339068884, 12.967417607073395, 6.368649328543944, 5.423944335775104, 4.281531657965324, 6.333113115830267, 4.846799767619883, 2.7535596569951624, 1.1593782421937553, 0.0), (16.63889299708279, 12.686949079834788, 13.73776805328898, 14.50099985299953, 12.641646931554131, 5.982399254013936, 5.399647415052978, 4.537573346372689, 6.472643289895322, 2.6546298304086586, 2.0662650296469853, 1.2207484569815625, 0.0, 16.943484608744804, 13.428233026797187, 10.331325148234924, 7.963889491225975, 12.945286579790643, 6.352602684921765, 5.399647415052978, 4.2731423242956685, 6.320823465777066, 4.833666617666511, 2.747553610657796, 1.1533590072577082, 0.0), (16.58573504277338, 12.621678493042284, 13.707895587012551, 14.461844204097451, 12.616715164639011, 5.970886502685445, 5.375721998681383, 4.526631495652572, 6.461848865738361, 2.6450710186386424, 2.0591815548778274, 1.2171586739060027, 0.0, 16.907932032082243, 13.388745412966028, 10.295907774389137, 7.935213055915925, 12.923697731476722, 6.337284093913602, 5.375721998681383, 4.264918930489604, 6.3083575823195055, 4.820614734699151, 2.74157911740251, 1.1474253175492988, 0.0), (16.532184450500534, 12.557249271858602, 13.678121769158587, 14.422860827835802, 12.591394782407065, 5.9595770831402755, 5.35212716233568, 4.516174852362109, 6.451295950527026, 2.6356617397171678, 2.0522168057270487, 1.2136022348432152, 0.0, 16.87198080911388, 13.349624583275366, 10.261084028635242, 7.906985219151502, 12.902591901054052, 6.322644793306953, 5.35212716233568, 4.256840773671625, 6.295697391203532, 4.807620275945268, 2.7356243538317178, 1.1415681156235096, 0.0), (16.47817576186529, 12.49356178438856, 13.648387482739144, 14.383978195896983, 12.565649636350196, 5.948442011352714, 5.3288219816912274, 4.506168586349507, 6.440954963722534, 2.626383157369158, 2.045356232847725, 1.2100722442399947, 0.0, 16.835576411380675, 13.31079468663994, 10.226781164238623, 7.879149472107472, 12.881909927445069, 6.308636020889311, 5.3288219816912274, 4.248887150966224, 6.282824818175098, 4.794659398632328, 2.7296774965478288, 1.1357783440353237, 0.0), (16.423643518468683, 12.430516398736968, 13.618633610766281, 14.345124779963385, 12.539443577960302, 5.937452303297058, 5.305765532423383, 4.49657786746298, 6.430796324786099, 2.6172164353195337, 2.038585286892935, 1.2065618065431336, 0.0, 16.79866431042359, 13.272179871974467, 10.192926434464676, 7.8516493059586, 12.861592649572199, 6.295209014448172, 5.305765532423383, 4.2410373594978985, 6.269721788980151, 4.781708259987796, 2.7237267221532564, 1.1300469453397246, 0.0), (16.36852226191174, 12.368013483008635, 13.588801036252066, 14.306229051717406, 12.51274045872928, 5.926578974947596, 5.282916890207506, 4.487367865550737, 6.420790453178933, 2.6081427372932153, 2.0318894185157554, 1.2030640261994254, 0.0, 16.761189977783587, 13.233704288193676, 10.159447092578777, 7.824428211879645, 12.841580906357866, 6.282315011771032, 5.282916890207506, 4.2332706963911395, 6.25637022936464, 4.768743017239136, 2.7177602072504135, 1.1243648620916942, 0.0), (16.312746533795494, 12.305953405308378, 13.558830642208555, 14.267219482841437, 12.485504130149028, 5.915793042278621, 5.260235130718955, 4.478503750460988, 6.410907768362252, 2.5991432270151247, 2.0252540783692634, 1.1995720076556633, 0.0, 16.72309888500163, 13.195292084212294, 10.126270391846315, 7.797429681045372, 12.821815536724504, 6.269905250645383, 5.260235130718955, 4.225566458770444, 6.242752065074514, 4.755739827613813, 2.711766128441711, 1.1187230368462162, 0.0), (16.256250875720976, 12.244236533741004, 13.528663311647806, 14.228024545017881, 12.457698443711445, 5.905065521264426, 5.237679329633088, 4.469950692041945, 6.401118689797269, 2.590199068210183, 2.018664717106536, 1.1960788553586414, 0.0, 16.68433650361868, 13.156867408945052, 10.09332358553268, 7.770597204630548, 12.802237379594539, 6.257930968858723, 5.237679329633088, 4.217903943760304, 6.2288492218557225, 4.742674848339295, 2.7057326623295617, 1.1131124121582732, 0.0), (16.198969829289226, 12.18276323641133, 13.498239927581887, 14.188572709929128, 12.429287250908427, 5.894367427879304, 5.215208562625265, 4.461673860141818, 6.391393636945196, 2.5812914246033105, 2.012106785380651, 1.1925776737551523, 0.0, 16.644848305175692, 13.118354411306674, 10.060533926903252, 7.74387427380993, 12.782787273890392, 6.246343404198546, 5.215208562625265, 4.210262448485217, 6.2146436254542134, 4.7295242366430434, 2.6996479855163775, 1.1075239305828484, 0.0), (16.14083793610127, 12.121433881424165, 13.46750137302285, 14.148792449257574, 12.400234403231872, 5.883669778097547, 5.192781905370843, 4.453638424608819, 6.381703029267251, 2.57240145991943, 2.005565733844684, 1.1890615672919902, 0.0, 16.604579761213643, 13.079677240211891, 10.02782866922342, 7.717204379758288, 12.763406058534501, 6.235093794452347, 5.192781905370843, 4.202621270069677, 6.200117201615936, 4.716264149752526, 2.69350027460457, 1.1019485346749243, 0.0), (16.08178973775815, 12.06014883688432, 13.436388530982757, 14.108612234685616, 12.370503752173677, 5.872943587893444, 5.170358433545185, 4.445809555291159, 6.3720172862246445, 2.563510337883461, 1.9990270131517138, 1.1855236404159475, 0.0, 16.56347634327348, 13.040760044575421, 9.99513506575857, 7.690531013650382, 12.744034572449289, 6.224133377407623, 5.170358433545185, 4.194959705638174, 6.185251876086839, 4.702870744895206, 2.6872777061965514, 1.0963771669894837, 0.0), (16.021759775860883, 11.998808470896611, 13.404842284473675, 14.06796053789565, 12.340059149225747, 5.862159873241292, 5.147897222823644, 4.438152422037048, 6.362306827278591, 2.554599222220326, 1.9924760739548175, 1.1819569975738184, 0.0, 16.521483522896165, 13.001526973312, 9.962380369774086, 7.663797666660978, 12.724613654557182, 6.2134133908518665, 5.147897222823644, 4.187257052315209, 6.170029574612873, 4.689320179298551, 2.680968456894735, 1.0908007700815103, 0.0), (15.960682592010507, 11.937313151565847, 13.37280351650766, 14.026765830570064, 12.308864445879973, 5.85128965011538, 5.125357348881582, 4.430632194694696, 6.352542071890305, 2.5456492766549457, 1.9858983669070716, 1.1783547432123955, 0.0, 16.478546771622668, 12.96190217533635, 9.929491834535357, 7.636947829964836, 12.70508414378061, 6.202885072572574, 5.125357348881582, 4.179492607225272, 6.154432222939986, 4.675588610190022, 2.6745607033015326, 1.0852102865059863, 0.0), (15.89849272780806, 11.875563246996844, 13.34021311009677, 13.984956584391266, 12.276883493628256, 5.840303934489999, 5.102697887394356, 4.423214043112313, 6.342693439521001, 2.536641664912241, 1.9792793426615536, 1.174709981778473, 0.0, 16.434611560993947, 12.921809799563201, 9.896396713307768, 7.609924994736723, 12.685386879042001, 6.192499660357238, 5.102697887394356, 4.171645667492856, 6.138441746814128, 4.66165219479709, 2.668042622019354, 1.0795966588178951, 0.0), (15.83512472485457, 11.81345912529441, 13.307011948253072, 13.942461271041642, 12.244080143962494, 5.829173742339445, 5.079877914037328, 4.415863137138113, 6.332731349631892, 2.527557550717134, 1.9726044518713404, 1.1710158177188439, 0.0, 16.38962336255096, 12.88117399490728, 9.863022259356702, 7.5826726521514, 12.665462699263784, 6.182208391993358, 5.079877914037328, 4.16369553024246, 6.122040071981247, 4.647487090347215, 2.6614023896506143, 1.073950829572219, 0.0), (15.770513124751067, 11.750901154563357, 13.27314091398862, 13.899208362203591, 12.210418248374584, 5.817870089638008, 5.056856504485853, 4.408544646620305, 6.322626221684192, 2.5183780977945447, 1.9658591451895095, 1.1672653554803014, 0.0, 16.343527647834676, 12.839918910283313, 9.829295725947548, 7.555134293383633, 12.645252443368385, 6.171962505268427, 5.056856504485853, 4.155621492598577, 6.105209124187292, 4.633069454067865, 2.654628182797724, 1.0682637413239418, 0.0), (15.704592469098595, 11.687789702908498, 13.238540890315475, 13.855126329559509, 12.175861658356425, 5.80636399235998, 5.03359273441529, 4.4012237414071, 6.312348475139116, 2.509084469869395, 1.9590288732691383, 1.1634516995096391, 0.0, 16.296269888386057, 12.797968694606027, 9.795144366345692, 7.527253409608184, 12.624696950278231, 6.1617132379699395, 5.03359273441529, 4.1474028516857, 6.087930829178212, 4.618375443186504, 2.647708178063095, 1.0625263366280455, 0.0), (15.63729729949817, 11.624025138434646, 13.203152760245707, 13.81014364479179, 12.14037422539991, 5.794626466479654, 5.010045679501001, 4.3938655913467075, 6.301868529457877, 2.499657830666606, 1.952099086763304, 1.1595679542536501, 0.0, 16.24779555574605, 12.755247496790147, 9.76049543381652, 7.498973491999817, 12.603737058915755, 6.151411827885391, 5.010045679501001, 4.139018904628324, 6.070187112699955, 4.6033812149305975, 2.6406305520491418, 1.0567295580395135, 0.0), (15.568562157550836, 11.559507829246614, 13.166917406791363, 13.764188779582833, 12.103919800996945, 5.7826285279713225, 4.986174415418341, 4.3864353662873405, 6.291156804101687, 2.4900793439110998, 1.945055236325083, 1.155607224159128, 0.0, 16.198050121455637, 12.711679465750406, 9.725276181625414, 7.470238031733298, 12.582313608203375, 6.141009512802277, 4.986174415418341, 4.130448948550945, 6.051959900498472, 4.588062926527612, 2.633383481358273, 1.0508643481133288, 0.0), (15.498321584857623, 11.494138143449213, 13.129775712964513, 13.717190205615022, 12.066462236639419, 5.770341192809277, 4.961938017842671, 4.378898236077208, 6.280183718531764, 2.4803301733277956, 1.9378827726075534, 1.1515626136728663, 0.0, 16.146979057055766, 12.667188750401527, 9.689413863037766, 7.4409905199833855, 12.560367437063528, 6.130457530508091, 4.961938017842671, 4.121672280578055, 6.033231118319709, 4.572396735205008, 2.6259551425929026, 1.044921649404474, 0.0), (15.426510123019561, 11.427816449147253, 13.091668561777217, 13.66907639457077, 12.02796538381924, 5.757735476967808, 4.93729556244935, 4.371219370564522, 6.2689196922093195, 2.4703914826416162, 1.930567146263792, 1.1474272272416581, 0.0, 16.094527834087398, 12.621699499658236, 9.652835731318959, 7.411174447924847, 12.537839384418639, 6.119707118790331, 4.93729556244935, 4.112668197834148, 6.01398269190962, 4.556358798190257, 2.6183337123554433, 1.0388924044679322, 0.0), (15.353062313637686, 11.360443114445548, 13.052536836241526, 13.619775818132457, 11.988393094028304, 5.744782396421213, 4.912206124913734, 4.363363939597493, 6.257335144595569, 2.4602444355774815, 1.9230938079468758, 1.143194169312297, 0.0, 16.040641924091503, 12.575135862435264, 9.615469039734378, 7.380733306732443, 12.514670289191137, 6.10870951543649, 4.912206124913734, 4.103415997443723, 5.994196547014152, 4.5399252727108195, 2.6105073672483052, 1.0327675558586864, 0.0), (15.277912698313022, 11.29191850744891, 13.01232141936951, 13.569216947982484, 11.947709218758497, 5.731452967143778, 4.886628780911184, 4.355297113024331, 6.245400495151722, 2.449870195860314, 1.9154482083098823, 1.1388565443315761, 0.0, 15.985266798609034, 12.527421987647335, 9.577241041549412, 7.3496105875809405, 12.490800990303445, 6.0974159582340635, 4.886628780911184, 4.093894976531271, 5.973854609379249, 4.523072315994162, 2.602464283873902, 1.0265380461317193, 0.0), (15.200995818646616, 11.22214299626215, 12.970963194173232, 13.51732825580325, 11.905877609501736, 5.717718205109798, 4.860522606117057, 4.346984060693248, 6.233086163338999, 2.439249927215034, 1.9076157980058883, 1.134407456746289, 0.0, 15.928347929180966, 12.478482024209175, 9.538078990029442, 7.3177497816451, 12.466172326677999, 6.085777684970546, 4.860522606117057, 4.084084432221284, 5.952938804750868, 4.505776085267751, 2.5941926388346466, 1.020194817842014, 0.0), (15.122246216239494, 11.151016948990085, 12.92840304366474, 13.464038213277146, 11.862862117749902, 5.7035491262935665, 4.833846676206716, 4.338389952452453, 6.220362568618608, 2.4283647933665637, 1.8995820276879718, 1.129840011003229, 0.0, 15.869830787348244, 12.428240121035515, 9.497910138439858, 7.2850943800996895, 12.440725137237216, 6.073745933433434, 4.833846676206716, 4.0739636616382615, 5.931431058874951, 4.48801273775905, 2.5856806087329485, 1.0137288135445532, 0.0), (15.041598432692682, 11.07844073373752, 12.884581850856106, 13.409275292086573, 11.818626594994903, 5.688916746669374, 4.806560066855513, 4.329479958150158, 6.207200130451765, 2.417195958039823, 1.8913323480092095, 1.1251473115491895, 0.0, 15.80966084465184, 12.37662042704108, 9.456661740046046, 7.251587874119467, 12.41440026090353, 6.061271941410222, 4.806560066855513, 4.063511961906696, 5.909313297497452, 4.469758430695525, 2.5769163701712214, 1.00713097579432, 0.0), (14.958987009607215, 11.004314718609267, 12.839440498759389, 13.352967963913915, 11.773134892728635, 5.673792082211512, 4.778621853738811, 4.320219247634575, 6.1935692682996875, 2.405724584959734, 1.8828522096226783, 1.1203224628309636, 0.0, 15.747783572632711, 12.323547091140597, 9.41426104811339, 7.217173754879202, 12.387138536599375, 6.048306946688404, 4.778621853738811, 4.05270863015108, 5.886567446364317, 4.45098932130464, 2.5678880997518783, 1.0003922471462972, 0.0), (14.874346488584132, 10.928539271710147, 12.792919870386642, 13.29504470044158, 11.726350862442994, 5.658146148894274, 4.749991112531969, 4.310572990753912, 6.1794404016235855, 2.3939318378512175, 1.8741270631814555, 1.115358569295345, 0.0, 15.684144442831826, 12.268944262248793, 9.370635315907277, 7.181795513553651, 12.358880803247171, 6.034802187055478, 4.749991112531969, 4.04153296349591, 5.863175431221497, 4.431681566813861, 2.5585839740773286, 0.993503570155468, 0.0), (14.787611411224459, 10.851014761144963, 12.744960848749933, 13.235433973351956, 11.67823835562988, 5.641949962691953, 4.7206269189103445, 4.300506357356382, 6.164783949884672, 2.381798880439195, 1.865142359338619, 1.110248735389127, 0.0, 15.618688926790139, 12.212736089280396, 9.325711796693094, 7.145396641317584, 12.329567899769344, 6.020708900298935, 4.7206269189103445, 4.029964259065681, 5.83911917781494, 4.411811324450653, 2.548992169749987, 0.986455887376815, 0.0), (14.69871631912923, 10.771641555018533, 12.695504316861326, 13.174064254327444, 11.62876122378119, 5.62517453957884, 4.690488348549297, 4.289984517290195, 6.1495703325441635, 2.3693068764485874, 1.8558835487472447, 1.104986065559103, 0.0, 15.551362496048613, 12.154846721150133, 9.279417743736223, 7.107920629345761, 12.299140665088327, 6.005978324206273, 4.690488348549297, 4.0179818139848855, 5.814380611890595, 4.391354751442482, 2.539100863372265, 0.9792401413653213, 0.0), (14.607595753899481, 10.690320021435666, 12.644491157732865, 13.110864015050435, 11.577883318388821, 5.607790895529226, 4.659534477124183, 4.278972640403562, 6.133769969063274, 2.3564369896043162, 1.846336082060411, 1.0995636642520668, 0.0, 15.482110622148213, 12.095200306772732, 9.231680410302054, 7.069310968812948, 12.267539938126548, 5.990561696564987, 4.659534477124183, 4.005564925378019, 5.7889416591944105, 4.370288005016812, 2.5288982315465733, 0.9718472746759697, 0.0), (14.51418425713624, 10.606950528501175, 12.591862254376625, 13.045761727203324, 11.525568490944673, 5.5897700465174065, 4.627724380310364, 4.2674358965446935, 6.1173532789032175, 2.3431703836313016, 1.836485409931195, 1.0939746359148106, 0.0, 15.410878776629895, 12.033720995062914, 9.182427049655974, 7.029511150893903, 12.234706557806435, 5.974410255162571, 4.627724380310364, 3.9926928903695758, 5.762784245472337, 4.348587242401109, 2.5183724508753254, 0.9642682298637433, 0.0), (14.418416370440541, 10.52143344431987, 12.537558489804665, 12.97868586246851, 11.471780592940643, 5.57108300851767, 4.595017133783196, 4.255339455561801, 6.100290681525203, 2.3294882222544664, 1.8263169830126733, 1.0882120849941288, 0.0, 15.337612431034628, 11.970332934935415, 9.131584915063366, 6.988464666763398, 12.200581363050405, 5.957475237786521, 4.595017133783196, 3.9793450060840496, 5.735890296470322, 4.326228620822837, 2.507511697960933, 0.9564939494836247, 0.0), (14.320226635413416, 10.433669136996565, 12.481520747029043, 12.909564892528387, 11.416483475868631, 5.551700797504312, 4.561371813218041, 4.242648487303093, 6.0825525963904505, 2.31537166919873, 1.815816251957923, 1.0822691159368145, 0.0, 15.262257056903364, 11.904960275304958, 9.079081259789614, 6.946115007596189, 12.165105192780901, 5.93970788222433, 4.561371813218041, 3.9655005696459367, 5.7082417379343156, 4.303188297509463, 2.4963041494058085, 0.948515376090597, 0.0), (14.219549593655895, 10.343557974636072, 12.423689909061814, 12.838327289065347, 11.359640991220532, 5.531594429451621, 4.526747494290255, 4.229328161616783, 6.064109442960174, 2.3008018881890155, 1.8049686674200216, 1.0761388331896609, 0.0, 15.184758125777073, 11.837527165086268, 9.024843337100108, 6.902405664567045, 12.128218885920347, 5.921059426263496, 4.526747494290255, 3.951138878179729, 5.679820495610266, 4.27944242968845, 2.484737981812363, 0.9403234522396431, 0.0), (14.116319786769019, 10.251000325343204, 12.364006858915053, 12.76490152376179, 11.301216990488243, 5.510734920333892, 4.491103252675198, 4.215343648351081, 6.044931640695582, 2.2857600429502427, 1.7937596800520466, 1.0698143411994616, 0.0, 15.105061109196717, 11.767957753194075, 8.968798400260232, 6.857280128850727, 12.089863281391164, 5.901481107691514, 4.491103252675198, 3.936239228809923, 5.650608495244121, 4.254967174587264, 2.4728013717830106, 0.931909120485746, 0.0), (14.010471756353809, 10.155896557222773, 12.302412479600802, 12.68921606830011, 11.241175325163667, 5.489093286125417, 4.454398164048228, 4.200660117354197, 6.024989609057894, 2.2702272972073336, 1.782174740507075, 1.0632887444130097, 0.0, 15.02311147870325, 11.696176188543106, 8.910873702535374, 6.810681891622, 12.049979218115787, 5.880924164295876, 4.454398164048228, 3.920780918661012, 5.620587662581833, 4.229738689433371, 2.4604824959201608, 0.9232633233838886, 0.0), (13.901940044011312, 10.05814703837959, 12.238847654131138, 12.611199394362703, 11.179479846738696, 5.466640542800487, 4.416591304084705, 4.185242738474343, 6.00425376750832, 2.254184814685209, 1.7701992994381837, 1.0565551472770989, 0.0, 14.938854705837642, 11.622106620048086, 8.850996497190918, 6.762554444055626, 12.00850753501664, 5.85933983386408, 4.416591304084705, 3.904743244857491, 5.589739923369348, 4.203733131454236, 2.447769530826228, 0.9143770034890537, 0.0), (13.790659191342543, 9.957652136918465, 12.173253265518113, 12.530779973631962, 11.116094406705237, 5.443347706333395, 4.377641748459985, 4.169056681559727, 5.982694535508077, 2.23761375910879, 1.7578188074984502, 1.0496066542385225, 0.0, 14.852236262140847, 11.545673196623744, 8.789094037492251, 6.712841277326369, 11.965389071016155, 5.836679354183619, 4.377641748459985, 3.8881055045238533, 5.5580472033526185, 4.176926657877321, 2.4346506531036227, 0.9052411033562243, 0.0), (13.676563739948545, 9.854312220944214, 12.10557019677379, 12.447886277790282, 11.050982856555176, 5.419185792698435, 4.33750857284943, 4.152067116458564, 5.960282332518376, 2.220495294202998, 1.7450187153409518, 1.0424363697440735, 0.0, 14.763201619153833, 11.466800067184806, 8.725093576704758, 6.661485882608993, 11.920564665036752, 5.81289396304199, 4.33750857284943, 3.870846994784596, 5.525491428277588, 4.149295425930095, 2.4211140393547583, 0.8958465655403832, 0.0), (13.559588231430352, 9.748027658561648, 12.035739330910227, 12.362446778520066, 10.984109047780422, 5.394125817869895, 4.296150852928397, 4.134239213019062, 5.9369875780004335, 2.202810583692754, 1.731784473618765, 1.0350373982405456, 0.0, 14.671696248417557, 11.385411380646001, 8.658922368093824, 6.60843175107826, 11.873975156000867, 5.787934898226687, 4.296150852928397, 3.8529470127642105, 5.492054523890211, 4.120815592840023, 2.407147866182046, 0.8861843325965136, 0.0), (13.43642570352943, 9.636747649274225, 11.960387930853534, 12.27118893522918, 10.912417327045198, 5.366575700132966, 4.252596048835072, 4.1143477142620295, 5.910997254959458, 2.1840146623310153, 1.717678725761683, 1.027139934629151, 0.0, 14.573674546947622, 11.298539280920659, 8.588393628808413, 6.552043986993045, 11.821994509918916, 5.7600867999668415, 4.252596048835072, 3.833268357237833, 5.456208663522599, 4.090396311743061, 2.3920775861707066, 0.8760679681158388, 0.0), (13.288116180561124, 9.509057777339137, 11.860106727604483, 12.155369164364412, 10.818229571737954, 5.327374130407459, 4.201391487047145, 4.085410149573287, 5.871856356733287, 2.161026447344436, 1.7002250806856987, 1.0172043785524665, 0.0, 14.445769764456351, 11.189248164077128, 8.501125403428492, 6.483079342033307, 11.743712713466573, 5.719574209402602, 4.201391487047145, 3.8052672360053275, 5.409114785868977, 4.051789721454805, 2.372021345520897, 0.8644597979399218, 0.0), (13.112769770827757, 9.363909602092178, 11.732881436933834, 12.013079639051961, 10.699704157616154, 5.275558360850069, 4.142019373545406, 4.04669939214551, 5.818455136337191, 2.1335425433383026, 1.6791778525828622, 1.0050752923331772, 0.0, 14.285557096008445, 11.055828215664945, 8.39588926291431, 6.400627630014906, 11.636910272674381, 5.665379149003714, 4.142019373545406, 3.7682559720357633, 5.349852078808077, 4.004359879683988, 2.346576287386767, 0.8512645092811072, 0.0), (12.911799698254727, 9.202249432332774, 11.580070457865464, 11.845672880071582, 10.558071749138534, 5.21175610364883, 4.0749133014061885, 3.9987003998323356, 5.751497860199411, 2.101796186926922, 1.6547224963799123, 0.9908651203361357, 0.0, 14.094673280674375, 10.899516323697492, 8.273612481899562, 6.305388560780765, 11.502995720398822, 5.59818055976527, 4.0749133014061885, 3.722682931177736, 5.279035874569267, 3.9485576266905285, 2.3160140915730927, 0.8365681302120704, 0.0), (12.686619186767443, 9.025023576860344, 11.403032189423245, 11.654501408203041, 10.394563010763845, 5.1365950709917785, 4.000506863705828, 3.941898130487402, 5.6716887947481816, 2.0660206147246045, 1.6270444670035862, 0.9746863069261941, 0.0, 13.874755057524599, 10.721549376188133, 8.13522233501793, 6.198061844173813, 11.343377589496363, 5.518657382682362, 4.000506863705828, 3.668996479279842, 5.197281505381922, 3.884833802734348, 2.280606437884649, 0.8204566888054858, 0.0), (12.438641460291295, 8.833178344474314, 11.203125030631053, 11.44091774422611, 10.210408606950825, 5.050702975066952, 3.919233653520661, 3.876777541964344, 5.579732206411743, 2.0264490633456567, 1.5963292193806227, 0.956651296468205, 0.0, 13.627439165629584, 10.523164261150253, 7.9816460969031136, 6.079347190036969, 11.159464412823485, 5.427488558750082, 3.919233653520661, 3.6076449821906795, 5.105204303475412, 3.813639248075371, 2.2406250061262107, 0.8030162131340287, 0.0), (12.16927974275169, 8.627660043974105, 10.981707380512765, 11.206274408920553, 10.006839202158226, 4.954707528062387, 3.8315272639270197, 3.8038235921168018, 5.476332361618334, 1.9833147694043862, 1.562762208437759, 0.9368725333270206, 0.0, 13.35436234405979, 10.305597866597225, 7.813811042188794, 5.949944308213158, 10.952664723236667, 5.325353028963523, 3.8315272639270197, 3.5390768057588473, 5.003419601079113, 3.735424802973519, 2.1963414761025533, 0.7843327312703733, 0.0), (11.879947258074031, 8.409414984159142, 10.740137638092254, 10.95192392306614, 9.785085460844787, 4.849236442166116, 3.7378212880012396, 3.7235212387984102, 5.3621935267961875, 1.9368509695151015, 1.5265288891017337, 0.915462461867493, 0.0, 13.057161331885686, 10.070087080542422, 7.632644445508667, 5.810552908545303, 10.724387053592375, 5.2129297343177745, 3.7378212880012396, 3.4637403158329394, 4.892542730422393, 3.6506413076887143, 2.148027527618451, 0.7644922712871949, 0.0), (11.572057230183715, 8.17938947382885, 10.479774202393392, 10.679218807442627, 9.546378047469258, 4.734917429566179, 3.6385493188196576, 3.636355439862808, 5.2380199683735436, 1.8872909002921108, 1.4878147162992839, 0.8925335264544754, 0.0, 12.737472868177733, 9.817868790999228, 7.4390735814964195, 5.661872700876331, 10.476039936747087, 5.090897615807931, 3.6385493188196576, 3.3820838782615565, 4.773189023734629, 3.5597396024808767, 2.0959548404786785, 0.7435808612571683, 0.0), (11.24702288300614, 7.938529821782648, 10.201975472440058, 10.389511582829789, 9.291947626490376, 4.6123782024506115, 3.5341449494586072, 3.542811153163632, 5.104515952778639, 1.834867798349722, 1.4468051449571482, 0.8681981714528189, 0.0, 12.396933692006392, 9.550179885981006, 7.23402572478574, 5.504603395049164, 10.209031905557278, 4.959935614429085, 3.5341449494586072, 3.2945558588932937, 4.645973813245188, 3.4631705276099303, 2.040395094488012, 0.7216845292529681, 0.0), (10.906257440466712, 7.687782336819962, 9.908099847256123, 10.084154770007387, 9.023024862366888, 4.482246473007449, 3.425041772994424, 3.44337333655452, 4.962385746439713, 1.779814900302243, 1.4036856300020644, 0.8425688412273767, 0.0, 12.037180542442131, 9.268257253501142, 7.018428150010321, 5.339444700906728, 9.924771492879426, 4.820722671176328, 3.425041772994424, 3.2016046235767495, 4.511512431183444, 3.361384923335797, 1.9816199694512246, 0.6988893033472693, 0.0), (10.551174126490828, 7.428093327740216, 9.599505725865463, 9.76450088975519, 8.740840419557543, 4.3451499534247295, 3.3116733825034426, 3.338526947889109, 4.812333615785002, 1.7223654427639818, 1.3586416263607706, 0.8157579801430009, 0.0, 11.659850158555415, 8.97333778157301, 6.793208131803853, 5.167096328291944, 9.624667231570005, 4.673937727044753, 3.3116733825034426, 3.103678538160521, 4.370420209778771, 3.254833629918398, 1.9199011451730927, 0.675281211612747, 0.0), (10.18318616500389, 7.160409103342831, 9.277551507291953, 9.43190246285296, 8.44662496252108, 4.201716355890488, 3.1944733710619975, 3.228756945021036, 4.655063827242743, 1.6627526623492466, 1.311858588960005, 0.7878780325645439, 0.0, 11.2665792794167, 8.666658358209983, 6.559292944800025, 4.988257987047739, 9.310127654485486, 4.52025972302945, 3.1944733710619975, 3.0012259684932054, 4.22331248126054, 3.1439674876176547, 1.8555103014583907, 0.6509462821220756, 0.0), (9.8037067799313, 6.88567597242723, 8.943595590559468, 9.087712010080473, 8.141609155716246, 4.052573392592758, 3.0738753317464247, 3.1145482858039375, 4.491280647241173, 1.6012097956723452, 1.2635219727265048, 0.759041442856858, 0.0, 10.859004644096458, 8.349455871425437, 6.317609863632523, 4.803629387017034, 8.982561294482347, 4.360367600125513, 3.0738753317464247, 2.8946952804233987, 4.070804577858123, 3.029237336693492, 1.7887191181118935, 0.6259705429479302, 0.0), (9.414149195198457, 6.604840243792839, 8.59899637469188, 8.733282052217486, 7.827023663601784, 3.898348775719581, 2.950312857633059, 2.996385928091453, 4.321688342208532, 1.5379700793475863, 1.2138172325870082, 0.7293606553847958, 0.0, 10.438762991665145, 8.022967209232752, 6.069086162935041, 4.613910238042758, 8.643376684417063, 4.194940299328034, 2.950312857633059, 2.7845348397997007, 3.913511831800892, 2.911094017405829, 1.7197992749383764, 0.6004400221629854, 0.0), (9.015926634730764, 6.31884822623908, 8.245112258713068, 8.369965110043767, 7.504099150636442, 3.739670217458989, 2.824219541798235, 2.874754829737218, 4.146991178573053, 1.4732667499892769, 1.1629298234682535, 0.6989481145132089, 0.0, 10.007491061193234, 7.6884292596452966, 5.8146491173412675, 4.41980024996783, 8.293982357146106, 4.024656761632105, 2.824219541798235, 2.6711930124707064, 3.752049575318221, 2.7899883700145893, 1.6490224517426137, 0.5744407478399164, 0.0), (8.610452322453618, 6.028646228565374, 7.883301641646902, 7.99911370433908, 7.174066281278959, 3.57716542999902, 2.6960289773182877, 2.7501399485948705, 3.9678934227629785, 1.4073330442117262, 1.1110452002969786, 0.6679162646069503, 0.0, 9.566825591751181, 7.347078910676452, 5.555226001484892, 4.221999132635178, 7.935786845525957, 3.850195928032819, 2.6960289773182877, 2.5551181642850143, 3.5870331406394795, 2.6663712347796937, 1.5766603283293805, 0.5480587480513978, 0.0), (8.19913948229242, 5.7351805595711465, 7.514922922517262, 7.622080355883197, 6.838155719988082, 3.41146212552771, 2.566174757269552, 2.623026242518047, 3.7850993412065432, 1.3404021986292411, 1.058348817999921, 0.6363775500308723, 0.0, 9.118403322409455, 7.000153050339593, 5.291744089999604, 4.021206595887723, 7.5701986824130865, 3.6722367395252657, 2.566174757269552, 2.4367586610912215, 3.419077859994041, 2.540693451961066, 1.5029845845034526, 0.5213800508701043, 0.0), (7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), (7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), (6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 0.0), (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0))
passenger_allighting_rate = ((0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1))
'\nparameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html\n'
entropy = 8991598675325360468762009371570610170
child_seed_index = (1, 71) |
num = [0 for n in range(4)]
for i in range(4):
num[i] = int(input(""))
failed = False
if (num[0] == 8 or num[0] == 9) and (num[3] == 8 or num[3] == 9) and (num[1] == num[2]):
print("ignore")
else:
print("answer") | num = [0 for n in range(4)]
for i in range(4):
num[i] = int(input(''))
failed = False
if (num[0] == 8 or num[0] == 9) and (num[3] == 8 or num[3] == 9) and (num[1] == num[2]):
print('ignore')
else:
print('answer') |
'''
05 - Regression plot parameters
Seaborn's regression plot supports several parameters that can be
used to configure the plots and drive more insight into the data.
For the next exercise, we can look at the relationship between tuition
and the percent of students that receive Pell grants. A Pell grant is
based on student financial need and subsidized by the US Government. In
this data set, each University has some percentage of students that receive
these grants. Since this data is continuous, using x_bins can be useful to
break the percentages into categories in order to summarize and understand
the data.
'''
# 1 - Plot a regression plot of Tuition and the Percentage of Pell Grants
sns.regplot(data=df,
y='Tuition',
x="PCTPELL")
plt.show()
plt.clf()
# 2 - Create another plot that estimates the tuition by PCTPELL
sns.regplot(data=df,
y='Tuition',
x="PCTPELL",
x_bins=5)
plt.show()
plt.clf()
# 3 - Create another plot that estimates the tuition by PCTPELL
sns.regplot(data=df,
y='Tuition',
x="PCTPELL",
x_bins=5)
plt.show()
plt.clf()
| """
05 - Regression plot parameters
Seaborn's regression plot supports several parameters that can be
used to configure the plots and drive more insight into the data.
For the next exercise, we can look at the relationship between tuition
and the percent of students that receive Pell grants. A Pell grant is
based on student financial need and subsidized by the US Government. In
this data set, each University has some percentage of students that receive
these grants. Since this data is continuous, using x_bins can be useful to
break the percentages into categories in order to summarize and understand
the data.
"""
sns.regplot(data=df, y='Tuition', x='PCTPELL')
plt.show()
plt.clf()
sns.regplot(data=df, y='Tuition', x='PCTPELL', x_bins=5)
plt.show()
plt.clf()
sns.regplot(data=df, y='Tuition', x='PCTPELL', x_bins=5)
plt.show()
plt.clf() |
# coding: utf-8
class Confirm(object):
def __init__(self, assume_yes=False):
self.assume_yes = assume_yes
def ask(self):
if self.assume_yes:
return True
message = '\n==> Press "Y" to confirm, or anything else to abort: '
confirmation = input(message)
return True if str(confirmation).lower() == "y" else False
| class Confirm(object):
def __init__(self, assume_yes=False):
self.assume_yes = assume_yes
def ask(self):
if self.assume_yes:
return True
message = '\n==> Press "Y" to confirm, or anything else to abort: '
confirmation = input(message)
return True if str(confirmation).lower() == 'y' else False |
class Node:
def __init__(self, value=None, next_node=None):
self.value = value
self.next = next_node
def add_node(self, node):
self.next = node
def remove_next_node(self):
self.next = None
def add_value(self, value):
self.value = value
| class Node:
def __init__(self, value=None, next_node=None):
self.value = value
self.next = next_node
def add_node(self, node):
self.next = node
def remove_next_node(self):
self.next = None
def add_value(self, value):
self.value = value |
class Attribute(object):
"""
Args:
target (str): the attribute name in the batch
source (str): the key in the example dict
field (:class:`Field`): the field for target attribute
include_valid (bool): if True, the validation
dataset vocab will be included.
include_test (bool): if True, the testing dataset
vocab will be included
"""
def __init__(self,
target,
source,
field,
include_valid=False,
include_test=False):
self.target = target
self.source = source
self.field = field
self.include_valid = include_valid
self.include_test = include_test
| class Attribute(object):
"""
Args:
target (str): the attribute name in the batch
source (str): the key in the example dict
field (:class:`Field`): the field for target attribute
include_valid (bool): if True, the validation
dataset vocab will be included.
include_test (bool): if True, the testing dataset
vocab will be included
"""
def __init__(self, target, source, field, include_valid=False, include_test=False):
self.target = target
self.source = source
self.field = field
self.include_valid = include_valid
self.include_test = include_test |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold ( num ) :
length = len ( num )
if ( length == 1 and num [ 0 ] == '0' ) :
return True
if ( length % 3 == 1 ) :
num = str ( num ) + "00"
length += 2
elif ( length % 3 == 2 ) :
num = str ( num ) + "0"
length += 1
sum = 0
p = 1
for i in range ( length - 1 , - 1 , - 1 ) :
group = 0
group += ord ( num [ i ] ) - ord ( '0' )
i -= 1
group += ( ord ( num [ i ] ) - ord ( '0' ) ) * 10
i -= 1
group += ( ord ( num [ i ] ) - ord ( '0' ) ) * 100
sum = sum + group * p
p *= ( - 1 )
sum = abs ( sum )
return ( sum % 13 == 0 )
#TOFILL
if __name__ == '__main__':
param = [
('vzTUaItpCpLnjY',),
('33855',),
('0011110101011',),
('MMQ',),
('439340517954',),
('000000000',),
('UugAuRRJbjEgl',),
('6406553695441',),
('011001',),
('yjFqEEvgiNjEX',)
]
n_success = 0
for i, parameters_set in enumerate(param):
if f_filled(*parameters_set) == f_gold(*parameters_set):
n_success+=1
print("#Results: %i, %i" % (n_success, len(param))) | def f_gold(num):
length = len(num)
if length == 1 and num[0] == '0':
return True
if length % 3 == 1:
num = str(num) + '00'
length += 2
elif length % 3 == 2:
num = str(num) + '0'
length += 1
sum = 0
p = 1
for i in range(length - 1, -1, -1):
group = 0
group += ord(num[i]) - ord('0')
i -= 1
group += (ord(num[i]) - ord('0')) * 10
i -= 1
group += (ord(num[i]) - ord('0')) * 100
sum = sum + group * p
p *= -1
sum = abs(sum)
return sum % 13 == 0
if __name__ == '__main__':
param = [('vzTUaItpCpLnjY',), ('33855',), ('0011110101011',), ('MMQ',), ('439340517954',), ('000000000',), ('UugAuRRJbjEgl',), ('6406553695441',), ('011001',), ('yjFqEEvgiNjEX',)]
n_success = 0
for (i, parameters_set) in enumerate(param):
if f_filled(*parameters_set) == f_gold(*parameters_set):
n_success += 1
print('#Results: %i, %i' % (n_success, len(param))) |
s = 0
f1 = 1
f2 = 2
f_old = f1
f_new = f1
while f_new < 4000000:
if f_new % 2 == 0:
s += f_new
f_new_temp = f_new
f_new = f_new_temp + f_old
f_old = f_new_temp
print(s) | s = 0
f1 = 1
f2 = 2
f_old = f1
f_new = f1
while f_new < 4000000:
if f_new % 2 == 0:
s += f_new
f_new_temp = f_new
f_new = f_new_temp + f_old
f_old = f_new_temp
print(s) |
# https://leetcode.com/problems/count-of-smaller-numbers-after-self/discuss/445769/merge-sort-CLEAR-simple-EXPLANATION-with-EXAMPLES-O(n-lg-n)
class Solution:
def countSmaller(self, nums: List[int]) -> List[int]:
def mergeAndCount(arr, start, end, result):
if start >= end:
return
mid = (start + end) // 2
mergeAndCount(arr, start, mid, result)
mergeAndCount(arr, mid + 1, end, result)
left = start
right = mid + 1
numElements = 0
merged = []
while left < mid + 1 and right <= end:
if arr[left][0] > arr[right][0]:
numElements += 1
merged.append(arr[right])
right += 1
else:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while left < mid + 1:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while right <= end:
merged.append(arr[right])
right += 1
position = start
for value in merged:
arr[position] = value
position += 1
for index, value in enumerate(nums):
nums[index] = (value, index)
result = [0 for _ in range(len(nums))]
mergeAndCount(nums, 0, len(nums) - 1, result)
return result
| class Solution:
def count_smaller(self, nums: List[int]) -> List[int]:
def merge_and_count(arr, start, end, result):
if start >= end:
return
mid = (start + end) // 2
merge_and_count(arr, start, mid, result)
merge_and_count(arr, mid + 1, end, result)
left = start
right = mid + 1
num_elements = 0
merged = []
while left < mid + 1 and right <= end:
if arr[left][0] > arr[right][0]:
num_elements += 1
merged.append(arr[right])
right += 1
else:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while left < mid + 1:
result[arr[left][1]] += numElements
merged.append(arr[left])
left += 1
while right <= end:
merged.append(arr[right])
right += 1
position = start
for value in merged:
arr[position] = value
position += 1
for (index, value) in enumerate(nums):
nums[index] = (value, index)
result = [0 for _ in range(len(nums))]
merge_and_count(nums, 0, len(nums) - 1, result)
return result |
class Solution:
def leastBricks(self, wall: List[List[int]]) -> int:
gaps = defaultdict(int)
for row in wall:
position = 0
for brick in row[:-1]:
position += brick
gaps[position] += 1
fewestCrossings = len(wall)
if len(gaps) > 0:
fewestCrossings -= max(gaps.values())
return fewestCrossings | class Solution:
def least_bricks(self, wall: List[List[int]]) -> int:
gaps = defaultdict(int)
for row in wall:
position = 0
for brick in row[:-1]:
position += brick
gaps[position] += 1
fewest_crossings = len(wall)
if len(gaps) > 0:
fewest_crossings -= max(gaps.values())
return fewestCrossings |
# python3
n, m = map(int, input().split())
edges = [ list(map(int, input().split())) for i in range(m) ]
# This solution prints a simple satisfiable formula
# and passes about half of the tests.
# Change this function to solve the problem.
def printEquisatisfiableSatFormula():
print("3 2")
print("1 2 0")
print("-1 -2 0")
print("1 -2 0")
printEquisatisfiableSatFormula()
| (n, m) = map(int, input().split())
edges = [list(map(int, input().split())) for i in range(m)]
def print_equisatisfiable_sat_formula():
print('3 2')
print('1 2 0')
print('-1 -2 0')
print('1 -2 0')
print_equisatisfiable_sat_formula() |
SINE = 0
SQUARE = 1
TRI = 2
UP = 3
DOWN = 4
ARB0 = 100
ARB1 = 101
ARB2 = 102
ARB3 = 103
ARB4 = 104
ARB5 = 105
ARB6 = 106
ARB7 = 107
ARB8 = 108
ARB9 = 109
ARB10 = 110
ARB11 = 111
ARB12 = 112
ARB13 = 113
ARB14 = 114
ARB15 = 115
| sine = 0
square = 1
tri = 2
up = 3
down = 4
arb0 = 100
arb1 = 101
arb2 = 102
arb3 = 103
arb4 = 104
arb5 = 105
arb6 = 106
arb7 = 107
arb8 = 108
arb9 = 109
arb10 = 110
arb11 = 111
arb12 = 112
arb13 = 113
arb14 = 114
arb15 = 115 |
N = int(input())
if N <= 999:
print('ABC')
else:
print('ABD')
| n = int(input())
if N <= 999:
print('ABC')
else:
print('ABD') |
class DtoObject(dict):
@property
def __dict__(self):
return {k: v for k, v in self.items()}
| class Dtoobject(dict):
@property
def __dict__(self):
return {k: v for (k, v) in self.items()} |
"""
Calculate different thread patterns
"""
tx = list(range(0, 256))
#print("sAtx", map(lambda x: (x%2) * 512 + x/2, tx))
print("gmStoreCtx", map(lambda x: (x%16)*2 + (x/16)*16*8, tx))
print("", map(lambda x: (x%16)*2 + (x/16)*16*8 + 32 + 1, tx))
| """
Calculate different thread patterns
"""
tx = list(range(0, 256))
print('gmStoreCtx', map(lambda x: x % 16 * 2 + x / 16 * 16 * 8, tx))
print('', map(lambda x: x % 16 * 2 + x / 16 * 16 * 8 + 32 + 1, tx)) |
expected_output = {
"TenGigabitEthernet1/0/2":{
"port_channel":{
"port_channel_member": False
},
"enabled": True,
"line_protocol":"up",
"oper_status":"up",
"connected": True,
"suspended": False,
"err_disabled": False,
"type":"Ten Gigabit Ethernet",
"mac_address":"682c.7b3f.f002",
"phys_address":"682c.7b3f.f002",
"description":"Nothing",
"delay":10,
"mtu":9000,
"bandwidth":10000000,
"reliability":"255/255",
"txload":"1/255",
"rxload":"1/255",
"encapsulations":{
"encapsulation":"arpa"
},
"keepalive":10,
"duplex_mode":"full",
"port_speed":"10gb/s",
"media_type":"100/1000/2.5G/5G/10GBaseTX",
"flow_control":{
"receive": True,
"send": False
},
"arp_type":"arpa",
"arp_timeout":"04:00:00",
"last_input":"never",
"last_output":"00:00:00",
"output_hang":"never",
"queues":{
"input_queue_size":0,
"input_queue_max":2000,
"input_queue_drops":0,
"input_queue_flushes":0,
"total_output_drop":0,
"queue_strategy":"fifo",
"output_queue_size":0,
"output_queue_max":40
},
"counters":{
"rate":{
"load_interval":30,
"in_rate":16000,
"in_rate_pkts":17,
"out_rate":0,
"out_rate_pkts":0
},
"last_clear":"never",
"in_pkts":8022334658,
"in_octets":697880865309,
"in_no_buffer":0,
"in_multicast_pkts":12712,
"in_broadcast_pkts":12774,
"in_runts":0,
"in_giants":0,
"in_throttles":0,
"in_errors":0,
"in_crc_errors":0,
"in_frame":0,
"in_overrun":0,
"in_ignored":0,
"in_watchdog":0,
"in_mac_pause_frames":0,
"in_with_dribble":0,
"out_pkts":97135086285,
"out_octets":143406430963466,
"out_underruns":0,
"out_errors":0,
"out_interface_resets":2,
"out_collision":0,
"out_unknown_protocl_drops":0,
"out_babble":0,
"out_late_collision":0,
"out_deferred":0,
"out_lost_carrier":0,
"out_no_carrier":0,
"out_mac_pause_frames":0,
"out_buffer_failure":0,
"out_buffers_swapped":0
}
}
} | expected_output = {'TenGigabitEthernet1/0/2': {'port_channel': {'port_channel_member': False}, 'enabled': True, 'line_protocol': 'up', 'oper_status': 'up', 'connected': True, 'suspended': False, 'err_disabled': False, 'type': 'Ten Gigabit Ethernet', 'mac_address': '682c.7b3f.f002', 'phys_address': '682c.7b3f.f002', 'description': 'Nothing', 'delay': 10, 'mtu': 9000, 'bandwidth': 10000000, 'reliability': '255/255', 'txload': '1/255', 'rxload': '1/255', 'encapsulations': {'encapsulation': 'arpa'}, 'keepalive': 10, 'duplex_mode': 'full', 'port_speed': '10gb/s', 'media_type': '100/1000/2.5G/5G/10GBaseTX', 'flow_control': {'receive': True, 'send': False}, 'arp_type': 'arpa', 'arp_timeout': '04:00:00', 'last_input': 'never', 'last_output': '00:00:00', 'output_hang': 'never', 'queues': {'input_queue_size': 0, 'input_queue_max': 2000, 'input_queue_drops': 0, 'input_queue_flushes': 0, 'total_output_drop': 0, 'queue_strategy': 'fifo', 'output_queue_size': 0, 'output_queue_max': 40}, 'counters': {'rate': {'load_interval': 30, 'in_rate': 16000, 'in_rate_pkts': 17, 'out_rate': 0, 'out_rate_pkts': 0}, 'last_clear': 'never', 'in_pkts': 8022334658, 'in_octets': 697880865309, 'in_no_buffer': 0, 'in_multicast_pkts': 12712, 'in_broadcast_pkts': 12774, 'in_runts': 0, 'in_giants': 0, 'in_throttles': 0, 'in_errors': 0, 'in_crc_errors': 0, 'in_frame': 0, 'in_overrun': 0, 'in_ignored': 0, 'in_watchdog': 0, 'in_mac_pause_frames': 0, 'in_with_dribble': 0, 'out_pkts': 97135086285, 'out_octets': 143406430963466, 'out_underruns': 0, 'out_errors': 0, 'out_interface_resets': 2, 'out_collision': 0, 'out_unknown_protocl_drops': 0, 'out_babble': 0, 'out_late_collision': 0, 'out_deferred': 0, 'out_lost_carrier': 0, 'out_no_carrier': 0, 'out_mac_pause_frames': 0, 'out_buffer_failure': 0, 'out_buffers_swapped': 0}}} |
#!/usr/bin/env python
names = ('ff','ff','sfs','fdfs')
for name in names:
print(name)
lll = list(range(5))
print(lll)
sum =0
for l in lll:
sum+=l
print(sum)
| names = ('ff', 'ff', 'sfs', 'fdfs')
for name in names:
print(name)
lll = list(range(5))
print(lll)
sum = 0
for l in lll:
sum += l
print(sum) |
#!/usr/bin/env python3
# Copyright 2009-2017 BHG http://bw.org/
class Aluno:
estuda = "digita os codigos"
boceja = "aaaaahhhh"
def estuda(self):
print(self.estuda)
def boceja(self):
print(self.boceja)
def main():
joao = Aluno()
joao.estuda()
joao.boceja()
if __name__ == '__main__': main() | class Aluno:
estuda = 'digita os codigos'
boceja = 'aaaaahhhh'
def estuda(self):
print(self.estuda)
def boceja(self):
print(self.boceja)
def main():
joao = aluno()
joao.estuda()
joao.boceja()
if __name__ == '__main__':
main() |
__project__ = 'Synerty Peek'
__copyright__ = '2016, Synerty'
__author__ = 'Synerty'
__version__ = '1.0.0'
| __project__ = 'Synerty Peek'
__copyright__ = '2016, Synerty'
__author__ = 'Synerty'
__version__ = '1.0.0' |
def primesieve(a,n):
global m
N=n
n+=5
prime=[0 for i in range(n+1)]
p=2
while(p*p<=n):
if(prime[p]==0):
for i in range(p*p,n,p):
prime[i]=1
p+=1
c=0
for i in range(a,N+1):
if prime[i]==0:
m.append(i)
c+=1
return (m,c)
a,n=map(int,input().split())
m=[];c=0
print(primesieve(a,n))
| def primesieve(a, n):
global m
n = n
n += 5
prime = [0 for i in range(n + 1)]
p = 2
while p * p <= n:
if prime[p] == 0:
for i in range(p * p, n, p):
prime[i] = 1
p += 1
c = 0
for i in range(a, N + 1):
if prime[i] == 0:
m.append(i)
c += 1
return (m, c)
(a, n) = map(int, input().split())
m = []
c = 0
print(primesieve(a, n)) |
#
# PySNMP MIB module HIRSCHMANN-DVMRP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HIRSCHMANN-DVMRP-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:30:53 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint")
hmPlatform4Multicast, = mibBuilder.importSymbols("HIRSCHMANN-MULTICAST-MIB", "hmPlatform4Multicast")
InterfaceIndex, InterfaceIndexOrZero = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex", "InterfaceIndexOrZero")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
Integer32, Counter32, Unsigned32, Gauge32, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, Bits, TimeTicks, Counter64, IpAddress, MibIdentifier, iso, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "Counter32", "Unsigned32", "Gauge32", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "Bits", "TimeTicks", "Counter64", "IpAddress", "MibIdentifier", "iso", "ObjectIdentity")
RowStatus, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "TextualConvention", "DisplayString")
hmDVMRPMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 248, 15, 4, 100))
hmDVMRPMIB.setRevisions(('2010-04-12 12:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: hmDVMRPMIB.setRevisionsDescriptions(('Initial version.',))
if mibBuilder.loadTexts: hmDVMRPMIB.setLastUpdated('201004121200Z')
if mibBuilder.loadTexts: hmDVMRPMIB.setOrganization('Hirschmann Automation and Control GmbH')
if mibBuilder.loadTexts: hmDVMRPMIB.setContactInfo('Customer Support Postal: Hirschmann Automation and Control GmbH Stuttgarter Str. 45-51 72654 Neckartenzlingen Germany Tel: +49 7127 14 1981 Web: http://www.hicomcenter.com/ E-Mail: hicomcenter@hirschmann.com')
if mibBuilder.loadTexts: hmDVMRPMIB.setDescription('The Hirschmann Private DVMRP MIB definitions for Platform devices.')
hmDVMRPMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1))
hmDVMRP = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1))
hmDVMRPScalar = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1))
hmDVMRPVersionString = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 1), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPVersionString.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPVersionString.setDescription("The router's DVMRP version information. Similar to sysDescr in MIB-II, this is a free-form field which can be used to display vendor-specific information.")
hmDVMRPGenerationId = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPGenerationId.setStatus('obsolete')
if mibBuilder.loadTexts: hmDVMRPGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hmDVMRPNumRoutes = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 3), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNumRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNumRoutes.setDescription('The number of entries in the routing table. This can be used to monitor the routing table size to detect illegal advertisements of unicast routes.')
hmDVMRPReachableRoutes = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 4), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPReachableRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPReachableRoutes.setDescription('The number of entries in the routing table with non infinite metrics. This can be used to detect network partitions by observing the ratio of reachable routes to total routes.')
hmDVMRPUpdateInterval = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 240))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hmDVMRPUpdateInterval.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPUpdateInterval.setDescription('The interval at which the dvmrp route updates (reports) are sent.')
hmDVMRPPruneLifetime = MibScalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(30, 64800))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hmDVMRPPruneLifetime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneLifetime.setDescription('The time a prune message sent from this router will be valid.')
hmDVMRPInterfaceTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2), )
if mibBuilder.loadTexts: hmDVMRPInterfaceTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceTable.setDescription("The (conceptual) table listing the router's multicast- capable interfaces.")
hmDVMRPInterfaceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceIfIndex"))
if mibBuilder.loadTexts: hmDVMRPInterfaceEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceEntry.setDescription('An entry (conceptual row) in the hmDVMRPInterfaceTable. This row augments ipMRouteInterfaceEntry in the IP Multicast MIB, where the threshold object resides.')
hmDVMRPInterfaceIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 1), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPInterfaceIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceIfIndex.setDescription('The ifIndex value of the interface for which DVMRP is enabled.')
hmDVMRPInterfaceLocalAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceLocalAddress.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceLocalAddress.setDescription('The IP address this system will use as a source address on this interface. On unnumbered interfaces, it must be the same value as hmDVMRPInterfaceLocalAddress for some interface on the system.')
hmDVMRPInterfaceMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 31)).clone(1)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceMetric.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceMetric.setDescription('The distance metric for this interface which is used to calculate distance vectors.')
hmDVMRPInterfaceStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceStatus.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceStatus.setDescription('The status of this entry. Creating the entry enables DVMRP on the interface; destroying the entry disables DVMRP on the interface.')
hmDVMRPInterfaceRcvBadPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadPkts.setDescription('The number of DVMRP messages received on the interface by the DVMRP process which were subsequently discarded as invalid (e.g. invalid packet format, or a route report from an unknown neighbor).')
hmDVMRPInterfaceRcvBadRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets, which were ignored because the entry was invalid.')
hmDVMRPInterfaceSentRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceSentRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceSentRoutes.setDescription('The number of routes, in DVMRP Report packets, which have been sent on this interface. Together with hmDVMRPNeighborRcvRoutes at a peer, this object is useful for detecting routes being lost.')
hmDVMRPInterfaceInterfaceKey = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 8), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKey.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKey.setDescription('The (shared) key for authenticating neighbors on this interface. This object is intended solely for the purpose of setting the interface key, and MUST be accessible only via requests using both authentication and privacy. The agent MAY report an empty string in response to get, get- next, get-bulk requests.')
hmDVMRPInterfaceInterfaceKeyVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 9), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKeyVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceInterfaceKeyVersion.setDescription('The highest version number of all known interface keys for this interface used for authenticating neighbors.')
hmDVMRPInterfaceGenerationId = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 20), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPInterfaceGenerationId.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hmDVMRPNeighborTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3), )
if mibBuilder.loadTexts: hmDVMRPNeighborTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborTable.setDescription("The (conceptual) table listing the router's DVMRP neighbors, as discovered by receiving DVMRP messages.")
hmDVMRPNeighborEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborIfIndex"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborAddress"))
if mibBuilder.loadTexts: hmDVMRPNeighborEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborEntry.setDescription('An entry (conceptual row) in the hmDVMRPNeighborTable.')
hmDVMRPNeighborIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 1), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPNeighborIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborIfIndex.setDescription('The value of ifIndex for the virtual interface used to reach this DVMRP neighbor.')
hmDVMRPNeighborAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPNeighborAddress.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborAddress.setDescription('The IP address of the DVMRP neighbor for which this entry contains information.')
hmDVMRPNeighborUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 3), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborUpTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborUpTime.setDescription('The time since this DVMRP neighbor (last) became a neighbor of the local router.')
hmDVMRPNeighborExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborExpiryTime.setDescription('The minimum time remaining before this DVMRP neighbor will be aged out.')
hmDVMRPNeighborGenerationId = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborGenerationId.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborGenerationId.setDescription("The neighboring router's generation identifier.")
hmDVMRPNeighborMajorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborMajorVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborMajorVersion.setDescription("The neighboring router's major DVMRP version number.")
hmDVMRPNeighborMinorVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborMinorVersion.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborMinorVersion.setDescription("The neighboring router's minor DVMRP version number.")
hmDVMRPNeighborCapabilities = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 8), Bits().clone(namedValues=NamedValues(("leaf", 0), ("prune", 1), ("generationID", 2), ("mtrace", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborCapabilities.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborCapabilities.setDescription("This object describes the neighboring router's capabilities. The leaf bit indicates that the neighbor has only one interface with neighbors. The prune bit indicates that the neighbor supports pruning. The generationID bit indicates that the neighbor sends its generationID in Probe messages. The mtrace bit indicates that the neighbor can handle mtrace requests.")
hmDVMRPNeighborRcvRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvRoutes.setDescription('The total number of routes received in valid DVMRP packets received from this neighbor. This can be used to diagnose problems such as unicast route injection, as well as giving an indication of the level of DVMRP route exchange activity.')
hmDVMRPNeighborRcvBadPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadPkts.setDescription('The number of packet received from this neighbor which were discarded as invalid.')
hmDVMRPNeighborRcvBadRoutes = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets received from this neighbor, which were ignored because the entry was invalid.')
hmDVMRPNeighborState = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("oneway", 1), ("active", 2), ("ignoring", 3), ("down", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPNeighborState.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborState.setDescription('State of the neighbor adjacency.')
hmDVMRPRouteTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4), )
if mibBuilder.loadTexts: hmDVMRPRouteTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteTable.setDescription('The table of routes learned through DVMRP route exchange.')
hmDVMRPRouteEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteSourceMask"))
if mibBuilder.loadTexts: hmDVMRPRouteEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteEntry.setDescription('An entry (conceptual row) containing the multicast routing information used by DVMRP in place of the unicast routing information.')
hmDVMRPRouteSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteSourceMask identifies the sources for which this entry contains multicast routing information.')
hmDVMRPRouteSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteSource identifies the sources for which this entry contains multicast routing information.')
hmDVMRPRouteUpstreamNeighbor = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteUpstreamNeighbor.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteUpstreamNeighbor.setDescription('The address of the upstream neighbor (e.g., RPF neighbor) from which IP datagrams from these sources are received.')
hmDVMRPRouteIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 4), InterfaceIndexOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteIfIndex.setDescription('The value of ifIndex for the interface on which IP datagrams sent by these sources are received. A value of 0 typically means the route is an aggregate for which no next- hop interface exists.')
hmDVMRPRouteMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteMetric.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteMetric.setDescription('The distance in hops to the source subnet.')
hmDVMRPRouteExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 6), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteExpiryTime.setDescription('The minimum amount of time remaining before this entry will be aged out.')
hmDVMRPRouteUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 7), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteUpTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteUpTime.setDescription('The time since the route represented by this entry was learned by the router.')
hmDVMRPRouteNextHopTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5), )
if mibBuilder.loadTexts: hmDVMRPRouteNextHopTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopTable.setDescription('The (conceptual) table containing information on the next hops on outgoing interfaces for routing IP multicast datagrams.')
hmDVMRPRouteNextHopEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopSourceMask"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopIfIndex"))
if mibBuilder.loadTexts: hmDVMRPRouteNextHopEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopEntry.setDescription('An entry (conceptual row) in the list of next hops on outgoing interfaces to which IP multicast datagrams from particular sources are routed.')
hmDVMRPRouteNextHopSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteNextHopSourceMask identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hmDVMRPRouteNextHopSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteNextHopSource identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hmDVMRPRouteNextHopIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 3), InterfaceIndex())
if mibBuilder.loadTexts: hmDVMRPRouteNextHopIfIndex.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopIfIndex.setDescription('The ifIndex value of the interface for the outgoing interface for this next hop.')
hmDVMRPRouteNextHopType = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("leaf", 1), ("branch", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPRouteNextHopType.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRouteNextHopType.setDescription('Type is leaf if no downstream dependent neighbors exist on the outgoing virtual interface. Otherwise, type is branch.')
hmDVMRPPruneTable = MibTable((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6), )
if mibBuilder.loadTexts: hmDVMRPPruneTable.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneTable.setDescription("The (conceptual) table listing the router's upstream prune state.")
hmDVMRPPruneEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1), ).setIndexNames((0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneGroup"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneSource"), (0, "HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneSourceMask"))
if mibBuilder.loadTexts: hmDVMRPPruneEntry.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneEntry.setDescription('An entry (conceptual row) in the hmDVMRPPruneTable.')
hmDVMRPPruneGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 1), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneGroup.setDescription('The group address which has been pruned.')
hmDVMRPPruneSource = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 2), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneSource.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneSource.setDescription('The address of the source or source network which has been pruned.')
hmDVMRPPruneSourceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 3), IpAddress())
if mibBuilder.loadTexts: hmDVMRPPruneSourceMask.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneSourceMask.setDescription("The address of the source or source network which has been pruned. The mask must either be all 1's, or else hmDVMRPPruneSource and hmDVMRPPruneSourceMask must match hmDVMRPRouteSource and hmDVMRPRouteSourceMask for some entry in the hmDVMRPRouteTable.")
hmDVMRPPruneExpiryTime = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hmDVMRPPruneExpiryTime.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPPruneExpiryTime.setDescription("The amount of time remaining before this prune should expire at the upstream neighbor. This value should be the minimum of the default prune lifetime and the remaining prune lifetimes of the local router's downstream neighbors, if any.")
hmDVMRPTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7))
hmDVMRPNeighborLoss = NotificationType((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 1)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborState"))
if mibBuilder.loadTexts: hmDVMRPNeighborLoss.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborLoss.setDescription('A hmDVMRPNeighborLoss trap signifies the loss of a 2-way adjacency with a neighbor. This trap should be generated when the neighbor state changes from active to one-way, ignoring, or down. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hmDVMRPNeighborNotPruning = NotificationType((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 2)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborCapabilities"))
if mibBuilder.loadTexts: hmDVMRPNeighborNotPruning.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborNotPruning.setDescription('A hmDVMRPNeighborNotPruning trap signifies that a non-pruning neighbor has been detected (in an implementation-dependent manner). This trap should be generated at most once per generation ID of the neighbor. For example, it should be generated at the time a neighbor is first heard from if the prune bit is not set in its capabilities. It should also be generated if the local system has the ability to tell that a neighbor which sets the the prune bit in its capabilities is not pruning any branches over an extended period of time. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hmDVMRPMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2))
hmDVMRPMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1))
hmDVMRPMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2))
hmDVMRPMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1, 1)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPGeneralGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRoutingGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPTreeGroup"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPSecurityGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPMIBCompliance = hmDVMRPMIBCompliance.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPMIBCompliance.setDescription('The compliance statement for the DVMRP MIB.')
hmDVMRPGeneralGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 2)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPVersionString"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPGenerationId"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNumRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPReachableRoutes"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPGeneralGroup = hmDVMRPGeneralGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPGeneralGroup.setDescription('A collection of objects used to describe general DVMRP configuration information.')
hmDVMRPInterfaceGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 3)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceLocalAddress"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceMetric"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceStatus"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceRcvBadPkts"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceRcvBadRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceSentRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceGenerationId"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPInterfaceGroup = hmDVMRPInterfaceGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPInterfaceGroup.setDescription('A collection of objects used to describe DVMRP interface configuration and statistics.')
hmDVMRPNeighborGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 4)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborUpTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborExpiryTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborGenerationId"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborMajorVersion"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborMinorVersion"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborCapabilities"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvBadPkts"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborRcvBadRoutes"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborState"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPNeighborGroup = hmDVMRPNeighborGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNeighborGroup.setDescription('A collection of objects used to describe DVMRP peer configuration and statistics.')
hmDVMRPRoutingGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 5)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteUpstreamNeighbor"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteIfIndex"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteMetric"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteExpiryTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteUpTime"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPRouteNextHopType"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPRoutingGroup = hmDVMRPRoutingGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPRoutingGroup.setDescription('A collection of objects used to store the DVMRP routing table.')
hmDVMRPSecurityGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 6)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceInterfaceKey"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPInterfaceInterfaceKeyVersion"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPSecurityGroup = hmDVMRPSecurityGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPSecurityGroup.setDescription('A collection of objects used to store information related to DVMRP security.')
hmDVMRPTreeGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 7)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPPruneExpiryTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPTreeGroup = hmDVMRPTreeGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPTreeGroup.setDescription('A collection of objects used to store information related to DVMRP prune state.')
hmDVMRPNotificationGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 8)).setObjects(("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborLoss"), ("HIRSCHMANN-DVMRP-MIB", "hmDVMRPNeighborNotPruning"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hmDVMRPNotificationGroup = hmDVMRPNotificationGroup.setStatus('current')
if mibBuilder.loadTexts: hmDVMRPNotificationGroup.setDescription('A collection of notifications for signaling important DVMRP events.')
mibBuilder.exportSymbols("HIRSCHMANN-DVMRP-MIB", hmDVMRPNeighborUpTime=hmDVMRPNeighborUpTime, hmDVMRPReachableRoutes=hmDVMRPReachableRoutes, hmDVMRPNeighborEntry=hmDVMRPNeighborEntry, hmDVMRPNeighborRcvRoutes=hmDVMRPNeighborRcvRoutes, hmDVMRPGeneralGroup=hmDVMRPGeneralGroup, hmDVMRPInterfaceGroup=hmDVMRPInterfaceGroup, hmDVMRPRoutingGroup=hmDVMRPRoutingGroup, hmDVMRPRouteNextHopType=hmDVMRPRouteNextHopType, hmDVMRPInterfaceInterfaceKeyVersion=hmDVMRPInterfaceInterfaceKeyVersion, hmDVMRPNeighborExpiryTime=hmDVMRPNeighborExpiryTime, hmDVMRPPruneSourceMask=hmDVMRPPruneSourceMask, hmDVMRPPruneExpiryTime=hmDVMRPPruneExpiryTime, hmDVMRPMIBCompliances=hmDVMRPMIBCompliances, hmDVMRPScalar=hmDVMRPScalar, hmDVMRPNumRoutes=hmDVMRPNumRoutes, hmDVMRPInterfaceIfIndex=hmDVMRPInterfaceIfIndex, hmDVMRPRouteNextHopEntry=hmDVMRPRouteNextHopEntry, hmDVMRPPruneTable=hmDVMRPPruneTable, hmDVMRPInterfaceRcvBadRoutes=hmDVMRPInterfaceRcvBadRoutes, hmDVMRPRouteMetric=hmDVMRPRouteMetric, hmDVMRPInterfaceStatus=hmDVMRPInterfaceStatus, hmDVMRPInterfaceEntry=hmDVMRPInterfaceEntry, hmDVMRPNeighborNotPruning=hmDVMRPNeighborNotPruning, hmDVMRPInterfaceMetric=hmDVMRPInterfaceMetric, hmDVMRPMIBGroups=hmDVMRPMIBGroups, hmDVMRPMIBObjects=hmDVMRPMIBObjects, hmDVMRPNeighborTable=hmDVMRPNeighborTable, hmDVMRPRouteIfIndex=hmDVMRPRouteIfIndex, hmDVMRPRouteNextHopIfIndex=hmDVMRPRouteNextHopIfIndex, hmDVMRPPruneSource=hmDVMRPPruneSource, hmDVMRPRouteNextHopSourceMask=hmDVMRPRouteNextHopSourceMask, hmDVMRPNeighborState=hmDVMRPNeighborState, hmDVMRPGenerationId=hmDVMRPGenerationId, hmDVMRPUpdateInterval=hmDVMRPUpdateInterval, hmDVMRPRouteNextHopSource=hmDVMRPRouteNextHopSource, hmDVMRPPruneEntry=hmDVMRPPruneEntry, hmDVMRPNeighborCapabilities=hmDVMRPNeighborCapabilities, hmDVMRPNeighborGroup=hmDVMRPNeighborGroup, hmDVMRPInterfaceLocalAddress=hmDVMRPInterfaceLocalAddress, hmDVMRPNeighborRcvBadRoutes=hmDVMRPNeighborRcvBadRoutes, hmDVMRPNeighborGenerationId=hmDVMRPNeighborGenerationId, hmDVMRPTraps=hmDVMRPTraps, hmDVMRPInterfaceSentRoutes=hmDVMRPInterfaceSentRoutes, hmDVMRPNeighborMinorVersion=hmDVMRPNeighborMinorVersion, hmDVMRPNotificationGroup=hmDVMRPNotificationGroup, PYSNMP_MODULE_ID=hmDVMRPMIB, hmDVMRPRouteSource=hmDVMRPRouteSource, hmDVMRPRouteUpstreamNeighbor=hmDVMRPRouteUpstreamNeighbor, hmDVMRPMIBCompliance=hmDVMRPMIBCompliance, hmDVMRPInterfaceInterfaceKey=hmDVMRPInterfaceInterfaceKey, hmDVMRPMIB=hmDVMRPMIB, hmDVMRPRouteNextHopTable=hmDVMRPRouteNextHopTable, hmDVMRPPruneGroup=hmDVMRPPruneGroup, hmDVMRPNeighborAddress=hmDVMRPNeighborAddress, hmDVMRPRouteSourceMask=hmDVMRPRouteSourceMask, hmDVMRPRouteEntry=hmDVMRPRouteEntry, hmDVMRPSecurityGroup=hmDVMRPSecurityGroup, hmDVMRPRouteUpTime=hmDVMRPRouteUpTime, hmDVMRPPruneLifetime=hmDVMRPPruneLifetime, hmDVMRPTreeGroup=hmDVMRPTreeGroup, hmDVMRPNeighborIfIndex=hmDVMRPNeighborIfIndex, hmDVMRP=hmDVMRP, hmDVMRPInterfaceRcvBadPkts=hmDVMRPInterfaceRcvBadPkts, hmDVMRPRouteTable=hmDVMRPRouteTable, hmDVMRPNeighborRcvBadPkts=hmDVMRPNeighborRcvBadPkts, hmDVMRPInterfaceTable=hmDVMRPInterfaceTable, hmDVMRPRouteExpiryTime=hmDVMRPRouteExpiryTime, hmDVMRPMIBConformance=hmDVMRPMIBConformance, hmDVMRPNeighborLoss=hmDVMRPNeighborLoss, hmDVMRPInterfaceGenerationId=hmDVMRPInterfaceGenerationId, hmDVMRPVersionString=hmDVMRPVersionString, hmDVMRPNeighborMajorVersion=hmDVMRPNeighborMajorVersion)
| (integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, value_range_constraint, constraints_intersection, single_value_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueRangeConstraint', 'ConstraintsIntersection', 'SingleValueConstraint', 'ValueSizeConstraint')
(hm_platform4_multicast,) = mibBuilder.importSymbols('HIRSCHMANN-MULTICAST-MIB', 'hmPlatform4Multicast')
(interface_index, interface_index_or_zero) = mibBuilder.importSymbols('IF-MIB', 'InterfaceIndex', 'InterfaceIndexOrZero')
(snmp_admin_string,) = mibBuilder.importSymbols('SNMP-FRAMEWORK-MIB', 'SnmpAdminString')
(module_compliance, object_group, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'ObjectGroup', 'NotificationGroup')
(integer32, counter32, unsigned32, gauge32, notification_type, mib_scalar, mib_table, mib_table_row, mib_table_column, module_identity, bits, time_ticks, counter64, ip_address, mib_identifier, iso, object_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'Counter32', 'Unsigned32', 'Gauge32', 'NotificationType', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ModuleIdentity', 'Bits', 'TimeTicks', 'Counter64', 'IpAddress', 'MibIdentifier', 'iso', 'ObjectIdentity')
(row_status, textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'RowStatus', 'TextualConvention', 'DisplayString')
hm_dvmrpmib = module_identity((1, 3, 6, 1, 4, 1, 248, 15, 4, 100))
hmDVMRPMIB.setRevisions(('2010-04-12 12:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
hmDVMRPMIB.setRevisionsDescriptions(('Initial version.',))
if mibBuilder.loadTexts:
hmDVMRPMIB.setLastUpdated('201004121200Z')
if mibBuilder.loadTexts:
hmDVMRPMIB.setOrganization('Hirschmann Automation and Control GmbH')
if mibBuilder.loadTexts:
hmDVMRPMIB.setContactInfo('Customer Support Postal: Hirschmann Automation and Control GmbH Stuttgarter Str. 45-51 72654 Neckartenzlingen Germany Tel: +49 7127 14 1981 Web: http://www.hicomcenter.com/ E-Mail: hicomcenter@hirschmann.com')
if mibBuilder.loadTexts:
hmDVMRPMIB.setDescription('The Hirschmann Private DVMRP MIB definitions for Platform devices.')
hm_dvmrpmib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1))
hm_dvmrp = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1))
hm_dvmrp_scalar = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1))
hm_dvmrp_version_string = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 1), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPVersionString.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPVersionString.setDescription("The router's DVMRP version information. Similar to sysDescr in MIB-II, this is a free-form field which can be used to display vendor-specific information.")
hm_dvmrp_generation_id = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPGenerationId.setStatus('obsolete')
if mibBuilder.loadTexts:
hmDVMRPGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hm_dvmrp_num_routes = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 3), gauge32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNumRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNumRoutes.setDescription('The number of entries in the routing table. This can be used to monitor the routing table size to detect illegal advertisements of unicast routes.')
hm_dvmrp_reachable_routes = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 4), gauge32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPReachableRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPReachableRoutes.setDescription('The number of entries in the routing table with non infinite metrics. This can be used to detect network partitions by observing the ratio of reachable routes to total routes.')
hm_dvmrp_update_interval = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(10, 240))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
hmDVMRPUpdateInterval.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPUpdateInterval.setDescription('The interval at which the dvmrp route updates (reports) are sent.')
hm_dvmrp_prune_lifetime = mib_scalar((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 1, 11), integer32().subtype(subtypeSpec=value_range_constraint(30, 64800))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
hmDVMRPPruneLifetime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneLifetime.setDescription('The time a prune message sent from this router will be valid.')
hm_dvmrp_interface_table = mib_table((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2))
if mibBuilder.loadTexts:
hmDVMRPInterfaceTable.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceTable.setDescription("The (conceptual) table listing the router's multicast- capable interfaces.")
hm_dvmrp_interface_entry = mib_table_row((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1)).setIndexNames((0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceIfIndex'))
if mibBuilder.loadTexts:
hmDVMRPInterfaceEntry.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceEntry.setDescription('An entry (conceptual row) in the hmDVMRPInterfaceTable. This row augments ipMRouteInterfaceEntry in the IP Multicast MIB, where the threshold object resides.')
hm_dvmrp_interface_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 1), interface_index())
if mibBuilder.loadTexts:
hmDVMRPInterfaceIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceIfIndex.setDescription('The ifIndex value of the interface for which DVMRP is enabled.')
hm_dvmrp_interface_local_address = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 2), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPInterfaceLocalAddress.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceLocalAddress.setDescription('The IP address this system will use as a source address on this interface. On unnumbered interfaces, it must be the same value as hmDVMRPInterfaceLocalAddress for some interface on the system.')
hm_dvmrp_interface_metric = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 3), integer32().subtype(subtypeSpec=value_range_constraint(1, 31)).clone(1)).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hmDVMRPInterfaceMetric.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceMetric.setDescription('The distance metric for this interface which is used to calculate distance vectors.')
hm_dvmrp_interface_status = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hmDVMRPInterfaceStatus.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceStatus.setDescription('The status of this entry. Creating the entry enables DVMRP on the interface; destroying the entry disables DVMRP on the interface.')
hm_dvmrp_interface_rcv_bad_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPInterfaceRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceRcvBadPkts.setDescription('The number of DVMRP messages received on the interface by the DVMRP process which were subsequently discarded as invalid (e.g. invalid packet format, or a route report from an unknown neighbor).')
hm_dvmrp_interface_rcv_bad_routes = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPInterfaceRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets, which were ignored because the entry was invalid.')
hm_dvmrp_interface_sent_routes = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPInterfaceSentRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceSentRoutes.setDescription('The number of routes, in DVMRP Report packets, which have been sent on this interface. Together with hmDVMRPNeighborRcvRoutes at a peer, this object is useful for detecting routes being lost.')
hm_dvmrp_interface_interface_key = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 8), snmp_admin_string()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hmDVMRPInterfaceInterfaceKey.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceInterfaceKey.setDescription('The (shared) key for authenticating neighbors on this interface. This object is intended solely for the purpose of setting the interface key, and MUST be accessible only via requests using both authentication and privacy. The agent MAY report an empty string in response to get, get- next, get-bulk requests.')
hm_dvmrp_interface_interface_key_version = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 9), integer32()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hmDVMRPInterfaceInterfaceKeyVersion.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceInterfaceKeyVersion.setDescription('The highest version number of all known interface keys for this interface used for authenticating neighbors.')
hm_dvmrp_interface_generation_id = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 2, 1, 20), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPInterfaceGenerationId.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceGenerationId.setDescription('The generation identifier for the routing process. This is used by neighboring routers to detect whether the DVMRP routing table should be resent.')
hm_dvmrp_neighbor_table = mib_table((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3))
if mibBuilder.loadTexts:
hmDVMRPNeighborTable.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborTable.setDescription("The (conceptual) table listing the router's DVMRP neighbors, as discovered by receiving DVMRP messages.")
hm_dvmrp_neighbor_entry = mib_table_row((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1)).setIndexNames((0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborIfIndex'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborAddress'))
if mibBuilder.loadTexts:
hmDVMRPNeighborEntry.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborEntry.setDescription('An entry (conceptual row) in the hmDVMRPNeighborTable.')
hm_dvmrp_neighbor_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 1), interface_index())
if mibBuilder.loadTexts:
hmDVMRPNeighborIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborIfIndex.setDescription('The value of ifIndex for the virtual interface used to reach this DVMRP neighbor.')
hm_dvmrp_neighbor_address = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 2), ip_address())
if mibBuilder.loadTexts:
hmDVMRPNeighborAddress.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborAddress.setDescription('The IP address of the DVMRP neighbor for which this entry contains information.')
hm_dvmrp_neighbor_up_time = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 3), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborUpTime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborUpTime.setDescription('The time since this DVMRP neighbor (last) became a neighbor of the local router.')
hm_dvmrp_neighbor_expiry_time = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 4), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborExpiryTime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborExpiryTime.setDescription('The minimum time remaining before this DVMRP neighbor will be aged out.')
hm_dvmrp_neighbor_generation_id = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborGenerationId.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborGenerationId.setDescription("The neighboring router's generation identifier.")
hm_dvmrp_neighbor_major_version = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborMajorVersion.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborMajorVersion.setDescription("The neighboring router's major DVMRP version number.")
hm_dvmrp_neighbor_minor_version = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 7), integer32().subtype(subtypeSpec=value_range_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborMinorVersion.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborMinorVersion.setDescription("The neighboring router's minor DVMRP version number.")
hm_dvmrp_neighbor_capabilities = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 8), bits().clone(namedValues=named_values(('leaf', 0), ('prune', 1), ('generationID', 2), ('mtrace', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborCapabilities.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborCapabilities.setDescription("This object describes the neighboring router's capabilities. The leaf bit indicates that the neighbor has only one interface with neighbors. The prune bit indicates that the neighbor supports pruning. The generationID bit indicates that the neighbor sends its generationID in Probe messages. The mtrace bit indicates that the neighbor can handle mtrace requests.")
hm_dvmrp_neighbor_rcv_routes = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvRoutes.setDescription('The total number of routes received in valid DVMRP packets received from this neighbor. This can be used to diagnose problems such as unicast route injection, as well as giving an indication of the level of DVMRP route exchange activity.')
hm_dvmrp_neighbor_rcv_bad_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvBadPkts.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvBadPkts.setDescription('The number of packet received from this neighbor which were discarded as invalid.')
hm_dvmrp_neighbor_rcv_bad_routes = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvBadRoutes.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborRcvBadRoutes.setDescription('The number of routes, in valid DVMRP packets received from this neighbor, which were ignored because the entry was invalid.')
hm_dvmrp_neighbor_state = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 3, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('oneway', 1), ('active', 2), ('ignoring', 3), ('down', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPNeighborState.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborState.setDescription('State of the neighbor adjacency.')
hm_dvmrp_route_table = mib_table((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4))
if mibBuilder.loadTexts:
hmDVMRPRouteTable.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteTable.setDescription('The table of routes learned through DVMRP route exchange.')
hm_dvmrp_route_entry = mib_table_row((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1)).setIndexNames((0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteSource'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteSourceMask'))
if mibBuilder.loadTexts:
hmDVMRPRouteEntry.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteEntry.setDescription('An entry (conceptual row) containing the multicast routing information used by DVMRP in place of the unicast routing information.')
hm_dvmrp_route_source = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 1), ip_address())
if mibBuilder.loadTexts:
hmDVMRPRouteSource.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteSourceMask identifies the sources for which this entry contains multicast routing information.')
hm_dvmrp_route_source_mask = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 2), ip_address())
if mibBuilder.loadTexts:
hmDVMRPRouteSourceMask.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteSource identifies the sources for which this entry contains multicast routing information.')
hm_dvmrp_route_upstream_neighbor = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 3), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteUpstreamNeighbor.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteUpstreamNeighbor.setDescription('The address of the upstream neighbor (e.g., RPF neighbor) from which IP datagrams from these sources are received.')
hm_dvmrp_route_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 4), interface_index_or_zero()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteIfIndex.setDescription('The value of ifIndex for the interface on which IP datagrams sent by these sources are received. A value of 0 typically means the route is an aggregate for which no next- hop interface exists.')
hm_dvmrp_route_metric = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(1, 32))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteMetric.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteMetric.setDescription('The distance in hops to the source subnet.')
hm_dvmrp_route_expiry_time = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 6), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteExpiryTime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteExpiryTime.setDescription('The minimum amount of time remaining before this entry will be aged out.')
hm_dvmrp_route_up_time = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 4, 1, 7), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteUpTime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteUpTime.setDescription('The time since the route represented by this entry was learned by the router.')
hm_dvmrp_route_next_hop_table = mib_table((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5))
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopTable.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopTable.setDescription('The (conceptual) table containing information on the next hops on outgoing interfaces for routing IP multicast datagrams.')
hm_dvmrp_route_next_hop_entry = mib_table_row((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1)).setIndexNames((0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteNextHopSource'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteNextHopSourceMask'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteNextHopIfIndex'))
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopEntry.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopEntry.setDescription('An entry (conceptual row) in the list of next hops on outgoing interfaces to which IP multicast datagrams from particular sources are routed.')
hm_dvmrp_route_next_hop_source = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 1), ip_address())
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopSource.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopSource.setDescription('The network address which when combined with the corresponding value of hmDVMRPRouteNextHopSourceMask identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hm_dvmrp_route_next_hop_source_mask = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 2), ip_address())
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopSourceMask.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopSourceMask.setDescription('The network mask which when combined with the corresponding value of hmDVMRPRouteNextHopSource identifies the sources for which this entry specifies a next hop on an outgoing interface.')
hm_dvmrp_route_next_hop_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 3), interface_index())
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopIfIndex.setDescription('The ifIndex value of the interface for the outgoing interface for this next hop.')
hm_dvmrp_route_next_hop_type = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 5, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('leaf', 1), ('branch', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopType.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRouteNextHopType.setDescription('Type is leaf if no downstream dependent neighbors exist on the outgoing virtual interface. Otherwise, type is branch.')
hm_dvmrp_prune_table = mib_table((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6))
if mibBuilder.loadTexts:
hmDVMRPPruneTable.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneTable.setDescription("The (conceptual) table listing the router's upstream prune state.")
hm_dvmrp_prune_entry = mib_table_row((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1)).setIndexNames((0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPPruneGroup'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPPruneSource'), (0, 'HIRSCHMANN-DVMRP-MIB', 'hmDVMRPPruneSourceMask'))
if mibBuilder.loadTexts:
hmDVMRPPruneEntry.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneEntry.setDescription('An entry (conceptual row) in the hmDVMRPPruneTable.')
hm_dvmrp_prune_group = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 1), ip_address())
if mibBuilder.loadTexts:
hmDVMRPPruneGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneGroup.setDescription('The group address which has been pruned.')
hm_dvmrp_prune_source = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 2), ip_address())
if mibBuilder.loadTexts:
hmDVMRPPruneSource.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneSource.setDescription('The address of the source or source network which has been pruned.')
hm_dvmrp_prune_source_mask = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 3), ip_address())
if mibBuilder.loadTexts:
hmDVMRPPruneSourceMask.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneSourceMask.setDescription("The address of the source or source network which has been pruned. The mask must either be all 1's, or else hmDVMRPPruneSource and hmDVMRPPruneSourceMask must match hmDVMRPRouteSource and hmDVMRPRouteSourceMask for some entry in the hmDVMRPRouteTable.")
hm_dvmrp_prune_expiry_time = mib_table_column((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 6, 1, 4), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hmDVMRPPruneExpiryTime.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPPruneExpiryTime.setDescription("The amount of time remaining before this prune should expire at the upstream neighbor. This value should be the minimum of the default prune lifetime and the remaining prune lifetimes of the local router's downstream neighbors, if any.")
hm_dvmrp_traps = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7))
hm_dvmrp_neighbor_loss = notification_type((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 1)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceLocalAddress'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborState'))
if mibBuilder.loadTexts:
hmDVMRPNeighborLoss.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborLoss.setDescription('A hmDVMRPNeighborLoss trap signifies the loss of a 2-way adjacency with a neighbor. This trap should be generated when the neighbor state changes from active to one-way, ignoring, or down. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hm_dvmrp_neighbor_not_pruning = notification_type((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 1, 1, 7, 2)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceLocalAddress'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborCapabilities'))
if mibBuilder.loadTexts:
hmDVMRPNeighborNotPruning.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborNotPruning.setDescription('A hmDVMRPNeighborNotPruning trap signifies that a non-pruning neighbor has been detected (in an implementation-dependent manner). This trap should be generated at most once per generation ID of the neighbor. For example, it should be generated at the time a neighbor is first heard from if the prune bit is not set in its capabilities. It should also be generated if the local system has the ability to tell that a neighbor which sets the the prune bit in its capabilities is not pruning any branches over an extended period of time. The trap should be generated only if the router has no other neighbors on the same interface with a lower IP address than itself.')
hm_dvmrpmib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2))
hm_dvmrpmib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1))
hm_dvmrpmib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2))
hm_dvmrpmib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 1, 1)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPGeneralGroup'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceGroup'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborGroup'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRoutingGroup'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPTreeGroup'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPSecurityGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrpmib_compliance = hmDVMRPMIBCompliance.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPMIBCompliance.setDescription('The compliance statement for the DVMRP MIB.')
hm_dvmrp_general_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 2)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPVersionString'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPGenerationId'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNumRoutes'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPReachableRoutes'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_general_group = hmDVMRPGeneralGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPGeneralGroup.setDescription('A collection of objects used to describe general DVMRP configuration information.')
hm_dvmrp_interface_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 3)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceLocalAddress'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceMetric'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceStatus'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceRcvBadPkts'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceRcvBadRoutes'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceSentRoutes'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceGenerationId'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_interface_group = hmDVMRPInterfaceGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPInterfaceGroup.setDescription('A collection of objects used to describe DVMRP interface configuration and statistics.')
hm_dvmrp_neighbor_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 4)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborUpTime'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborExpiryTime'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborGenerationId'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborMajorVersion'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborMinorVersion'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborCapabilities'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborRcvRoutes'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborRcvBadPkts'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborRcvBadRoutes'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborState'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_neighbor_group = hmDVMRPNeighborGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNeighborGroup.setDescription('A collection of objects used to describe DVMRP peer configuration and statistics.')
hm_dvmrp_routing_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 5)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteUpstreamNeighbor'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteIfIndex'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteMetric'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteExpiryTime'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteUpTime'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPRouteNextHopType'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_routing_group = hmDVMRPRoutingGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPRoutingGroup.setDescription('A collection of objects used to store the DVMRP routing table.')
hm_dvmrp_security_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 6)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceInterfaceKey'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPInterfaceInterfaceKeyVersion'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_security_group = hmDVMRPSecurityGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPSecurityGroup.setDescription('A collection of objects used to store information related to DVMRP security.')
hm_dvmrp_tree_group = object_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 7)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPPruneExpiryTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_tree_group = hmDVMRPTreeGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPTreeGroup.setDescription('A collection of objects used to store information related to DVMRP prune state.')
hm_dvmrp_notification_group = notification_group((1, 3, 6, 1, 4, 1, 248, 15, 4, 100, 2, 2, 8)).setObjects(('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborLoss'), ('HIRSCHMANN-DVMRP-MIB', 'hmDVMRPNeighborNotPruning'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm_dvmrp_notification_group = hmDVMRPNotificationGroup.setStatus('current')
if mibBuilder.loadTexts:
hmDVMRPNotificationGroup.setDescription('A collection of notifications for signaling important DVMRP events.')
mibBuilder.exportSymbols('HIRSCHMANN-DVMRP-MIB', hmDVMRPNeighborUpTime=hmDVMRPNeighborUpTime, hmDVMRPReachableRoutes=hmDVMRPReachableRoutes, hmDVMRPNeighborEntry=hmDVMRPNeighborEntry, hmDVMRPNeighborRcvRoutes=hmDVMRPNeighborRcvRoutes, hmDVMRPGeneralGroup=hmDVMRPGeneralGroup, hmDVMRPInterfaceGroup=hmDVMRPInterfaceGroup, hmDVMRPRoutingGroup=hmDVMRPRoutingGroup, hmDVMRPRouteNextHopType=hmDVMRPRouteNextHopType, hmDVMRPInterfaceInterfaceKeyVersion=hmDVMRPInterfaceInterfaceKeyVersion, hmDVMRPNeighborExpiryTime=hmDVMRPNeighborExpiryTime, hmDVMRPPruneSourceMask=hmDVMRPPruneSourceMask, hmDVMRPPruneExpiryTime=hmDVMRPPruneExpiryTime, hmDVMRPMIBCompliances=hmDVMRPMIBCompliances, hmDVMRPScalar=hmDVMRPScalar, hmDVMRPNumRoutes=hmDVMRPNumRoutes, hmDVMRPInterfaceIfIndex=hmDVMRPInterfaceIfIndex, hmDVMRPRouteNextHopEntry=hmDVMRPRouteNextHopEntry, hmDVMRPPruneTable=hmDVMRPPruneTable, hmDVMRPInterfaceRcvBadRoutes=hmDVMRPInterfaceRcvBadRoutes, hmDVMRPRouteMetric=hmDVMRPRouteMetric, hmDVMRPInterfaceStatus=hmDVMRPInterfaceStatus, hmDVMRPInterfaceEntry=hmDVMRPInterfaceEntry, hmDVMRPNeighborNotPruning=hmDVMRPNeighborNotPruning, hmDVMRPInterfaceMetric=hmDVMRPInterfaceMetric, hmDVMRPMIBGroups=hmDVMRPMIBGroups, hmDVMRPMIBObjects=hmDVMRPMIBObjects, hmDVMRPNeighborTable=hmDVMRPNeighborTable, hmDVMRPRouteIfIndex=hmDVMRPRouteIfIndex, hmDVMRPRouteNextHopIfIndex=hmDVMRPRouteNextHopIfIndex, hmDVMRPPruneSource=hmDVMRPPruneSource, hmDVMRPRouteNextHopSourceMask=hmDVMRPRouteNextHopSourceMask, hmDVMRPNeighborState=hmDVMRPNeighborState, hmDVMRPGenerationId=hmDVMRPGenerationId, hmDVMRPUpdateInterval=hmDVMRPUpdateInterval, hmDVMRPRouteNextHopSource=hmDVMRPRouteNextHopSource, hmDVMRPPruneEntry=hmDVMRPPruneEntry, hmDVMRPNeighborCapabilities=hmDVMRPNeighborCapabilities, hmDVMRPNeighborGroup=hmDVMRPNeighborGroup, hmDVMRPInterfaceLocalAddress=hmDVMRPInterfaceLocalAddress, hmDVMRPNeighborRcvBadRoutes=hmDVMRPNeighborRcvBadRoutes, hmDVMRPNeighborGenerationId=hmDVMRPNeighborGenerationId, hmDVMRPTraps=hmDVMRPTraps, hmDVMRPInterfaceSentRoutes=hmDVMRPInterfaceSentRoutes, hmDVMRPNeighborMinorVersion=hmDVMRPNeighborMinorVersion, hmDVMRPNotificationGroup=hmDVMRPNotificationGroup, PYSNMP_MODULE_ID=hmDVMRPMIB, hmDVMRPRouteSource=hmDVMRPRouteSource, hmDVMRPRouteUpstreamNeighbor=hmDVMRPRouteUpstreamNeighbor, hmDVMRPMIBCompliance=hmDVMRPMIBCompliance, hmDVMRPInterfaceInterfaceKey=hmDVMRPInterfaceInterfaceKey, hmDVMRPMIB=hmDVMRPMIB, hmDVMRPRouteNextHopTable=hmDVMRPRouteNextHopTable, hmDVMRPPruneGroup=hmDVMRPPruneGroup, hmDVMRPNeighborAddress=hmDVMRPNeighborAddress, hmDVMRPRouteSourceMask=hmDVMRPRouteSourceMask, hmDVMRPRouteEntry=hmDVMRPRouteEntry, hmDVMRPSecurityGroup=hmDVMRPSecurityGroup, hmDVMRPRouteUpTime=hmDVMRPRouteUpTime, hmDVMRPPruneLifetime=hmDVMRPPruneLifetime, hmDVMRPTreeGroup=hmDVMRPTreeGroup, hmDVMRPNeighborIfIndex=hmDVMRPNeighborIfIndex, hmDVMRP=hmDVMRP, hmDVMRPInterfaceRcvBadPkts=hmDVMRPInterfaceRcvBadPkts, hmDVMRPRouteTable=hmDVMRPRouteTable, hmDVMRPNeighborRcvBadPkts=hmDVMRPNeighborRcvBadPkts, hmDVMRPInterfaceTable=hmDVMRPInterfaceTable, hmDVMRPRouteExpiryTime=hmDVMRPRouteExpiryTime, hmDVMRPMIBConformance=hmDVMRPMIBConformance, hmDVMRPNeighborLoss=hmDVMRPNeighborLoss, hmDVMRPInterfaceGenerationId=hmDVMRPInterfaceGenerationId, hmDVMRPVersionString=hmDVMRPVersionString, hmDVMRPNeighborMajorVersion=hmDVMRPNeighborMajorVersion) |
r = int(input())
pi = 3.14159
v = (4/3) *pi * (r ** 3)
print("VOLUME = {0:.3f}".format(v))
| r = int(input())
pi = 3.14159
v = 4 / 3 * pi * r ** 3
print('VOLUME = {0:.3f}'.format(v)) |
expected_output = {
"interfaces": {
"Port-channel1": {
"name": "Port-channel1",
"protocol": "lacp",
"members": {
"GigabitEthernet2": {
"interface": "GigabitEthernet2",
"counters": {
"lacp_in_pkts": 22,
"lacp_out_pkts": 27,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet3": {
"interface": "GigabitEthernet3",
"counters": {
"lacp_in_pkts": 21,
"lacp_out_pkts": 24,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
},
},
"Port-channel2": {
"name": "Port-channel2",
"protocol": "lacp",
"members": {
"GigabitEthernet4": {
"interface": "GigabitEthernet4",
"counters": {
"lacp_in_pkts": 31,
"lacp_out_pkts": 24,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet5": {
"interface": "GigabitEthernet5",
"counters": {
"lacp_in_pkts": 10,
"lacp_out_pkts": 14,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
"GigabitEthernet6": {
"interface": "GigabitEthernet6",
"counters": {
"lacp_in_pkts": 11,
"lacp_out_pkts": 13,
"marker_in_pkts": 0,
"marker_out_pkts": 0,
"lacp_pkts": 0,
"marker_response_in_pkts": 0,
"marker_response_out_pkts": 0,
},
},
},
},
}
}
| expected_output = {'interfaces': {'Port-channel1': {'name': 'Port-channel1', 'protocol': 'lacp', 'members': {'GigabitEthernet2': {'interface': 'GigabitEthernet2', 'counters': {'lacp_in_pkts': 22, 'lacp_out_pkts': 27, 'marker_in_pkts': 0, 'marker_out_pkts': 0, 'lacp_pkts': 0, 'marker_response_in_pkts': 0, 'marker_response_out_pkts': 0}}, 'GigabitEthernet3': {'interface': 'GigabitEthernet3', 'counters': {'lacp_in_pkts': 21, 'lacp_out_pkts': 24, 'marker_in_pkts': 0, 'marker_out_pkts': 0, 'lacp_pkts': 0, 'marker_response_in_pkts': 0, 'marker_response_out_pkts': 0}}}}, 'Port-channel2': {'name': 'Port-channel2', 'protocol': 'lacp', 'members': {'GigabitEthernet4': {'interface': 'GigabitEthernet4', 'counters': {'lacp_in_pkts': 31, 'lacp_out_pkts': 24, 'marker_in_pkts': 0, 'marker_out_pkts': 0, 'lacp_pkts': 0, 'marker_response_in_pkts': 0, 'marker_response_out_pkts': 0}}, 'GigabitEthernet5': {'interface': 'GigabitEthernet5', 'counters': {'lacp_in_pkts': 10, 'lacp_out_pkts': 14, 'marker_in_pkts': 0, 'marker_out_pkts': 0, 'lacp_pkts': 0, 'marker_response_in_pkts': 0, 'marker_response_out_pkts': 0}}, 'GigabitEthernet6': {'interface': 'GigabitEthernet6', 'counters': {'lacp_in_pkts': 11, 'lacp_out_pkts': 13, 'marker_in_pkts': 0, 'marker_out_pkts': 0, 'lacp_pkts': 0, 'marker_response_in_pkts': 0, 'marker_response_out_pkts': 0}}}}}} |
#
# ***** ALERTA SERVER DEFAULT SETTINGS -- DO NOT MODIFY THIS FILE *****
#
# To override these settings use /etc/alertad.conf or the contents of the
# configuration file set by the environment variable ALERTA_SVR_CONF_FILE.
#
# Further information on settings can be found at http://docs.alerta.io
DEBUG = False
LOGGER_NAME = 'alerta'
LOG_FILE = None
SECRET_KEY = 'changeme'
QUERY_LIMIT = 10000 # maximum number of alerts returned by a single query
HISTORY_LIMIT = 1000 # cap the number of alert history entries
# MongoDB
MONGO_HOST = 'localhost'
MONGO_PORT = 27017
MONGO_DATABASE = 'monitoring'
MONGO_REPLSET = None # 'alerta'
MONGO_USERNAME = 'alerta'
MONGO_PASSWORD = None
AUTH_REQUIRED = False
ADMIN_USERS = []
CUSTOMER_VIEWS = False
OAUTH2_CLIENT_ID = None # Google or GitHub OAuth2 client ID and secret
OAUTH2_CLIENT_SECRET = None
ALLOWED_EMAIL_DOMAINS = ['*']
ALLOWED_GITHUB_ORGS = ['*']
GITLAB_URL = None
ALLOWED_GITLAB_GROUPS = ['*']
TOKEN_EXPIRE_DAYS = 14
API_KEY_EXPIRE_DAYS = 365 # 1 year
# switches
AUTO_REFRESH_ALLOW = 'OFF' # set to 'OFF' to reduce load on API server by forcing clients to manually refresh
SENDER_API_ALLOW = 'ON' # set to 'OFF' to block clients from sending new alerts to API server
CORS_ALLOW_HEADERS = ['Content-Type', 'Authorization', 'Access-Control-Allow-Origin']
CORS_ORIGINS = [
'http://try.alerta.io',
'http://explorer.alerta.io',
'http://localhost'
]
CORS_SUPPORTS_CREDENTIALS = AUTH_REQUIRED
BLACKOUT_DURATION = 3600 # default period = 1 hour
EMAIL_VERIFICATION = False
SMTP_HOST = 'smtp.gmail.com'
SMTP_PORT = 587
MAIL_FROM = 'your@gmail.com' # replace with valid sender address
SMTP_PASSWORD = '' # password for MAIL_FROM account, Gmail uses application-specific passwords
# Plug-ins
PLUGINS = ['reject','wechat','influxdb']
ORIGIN_BLACKLIST = [] # reject all foo alerts from bar, and everything from qux
#ORIGIN_BLACKLIST = ['foo/bar$', '.*/qux'] # reject all foo alerts from bar, and everything from qux
ALLOWED_ENVIRONMENTS = ['Production', 'Development'] # reject alerts without allowed environments
| debug = False
logger_name = 'alerta'
log_file = None
secret_key = 'changeme'
query_limit = 10000
history_limit = 1000
mongo_host = 'localhost'
mongo_port = 27017
mongo_database = 'monitoring'
mongo_replset = None
mongo_username = 'alerta'
mongo_password = None
auth_required = False
admin_users = []
customer_views = False
oauth2_client_id = None
oauth2_client_secret = None
allowed_email_domains = ['*']
allowed_github_orgs = ['*']
gitlab_url = None
allowed_gitlab_groups = ['*']
token_expire_days = 14
api_key_expire_days = 365
auto_refresh_allow = 'OFF'
sender_api_allow = 'ON'
cors_allow_headers = ['Content-Type', 'Authorization', 'Access-Control-Allow-Origin']
cors_origins = ['http://try.alerta.io', 'http://explorer.alerta.io', 'http://localhost']
cors_supports_credentials = AUTH_REQUIRED
blackout_duration = 3600
email_verification = False
smtp_host = 'smtp.gmail.com'
smtp_port = 587
mail_from = 'your@gmail.com'
smtp_password = ''
plugins = ['reject', 'wechat', 'influxdb']
origin_blacklist = []
allowed_environments = ['Production', 'Development'] |
c_player_version_path = '/v1/player/versionInfo'
c_casino_version_path = '/v1/casino/versionInfo'
c_not_ready = 'not_ready_0'
# frontend
c_frontend_src_em = 'EM_FE'
c_frontend_src_operator = 'operator_FE'
# update time
c_job_interval_minutes = 30
c_json_key_operator_group = 'Operator Group'
c_redis_key_operator_group = 'operatorGroup'
c_json_key_operator = 'Operator'
c_redis_key_operator = 'operatorName'
c_json_key_domain_id = 'Domain ID'
c_redis_key_domain_id = 'domainId'
c_json_key_gm_core_env = 'GM Core Env'
c_redis_key_gm_core_env = 'gmENV'
c_json_key_partner_id = 'Partner ID(ServerAPI ID)'
c_redis_key_partner_id = 'partnerID'
c_json_key_partner_key = 'Partner Key(Code)'
c_redis_key_partner_key = 'partnerKey'
c_json_key_environment = 'Environment'
c_redis_key_environment = 'environment'
c_json_key_frontend = 'Frontend'
c_redis_key_frontend = 'frontend'
c_json_key_region = 'REGION'
c_redis_key_region = 'region'
c_json_key_status = 'STATUS'
c_redis_key_status = 'status'
c_json_key_player_api = 'PLAYER API'
c_redis_key_player_api = 'playerAPI'
c_json_key_casino_api = 'CASINO API'
c_redis_key_casino_api = 'casinoAPI'
c_json_key_live_lobby = 'LIVELOBBY'
c_redis_key_live_lobby = 'liveLobby'
c_json_key_gic = 'GIC'
c_redis_key_gic = 'GIC'
c_json_key_notification = 'Notification'
c_redis_key_notification = 'Notification'
c_json_key_balance_updates = 'Balance updates'
c_redis_key_balance_updates = 'BalanceUpdate'
c_redis_key_casino_version_url = 'casino_version_url'
c_redis_key_casino_version_tag = 'casino_version_tag'
c_redis_key_casino_version_deploy_time = 'casino_version_deploy_time'
c_redis_key_player_version_url = 'player_version_url'
c_redis_key_player_version_tag = 'player_version_tag'
c_redis_key_player_version_deploy_time = 'player_version_deploy_time'
c_redis_key_update_time = 'update_time'
c_redis_key_key = 'key'
c_default_version_info_url_empty = {'domainId': 0, 'tag': 'not_ready_1', 'deployTime': 'not_ready_1'}
c_default_version_info_404_url_not_found = {'domainId': 0, 'tag': 'not_ready_2', 'deployTime': 'not_ready_2'}
| c_player_version_path = '/v1/player/versionInfo'
c_casino_version_path = '/v1/casino/versionInfo'
c_not_ready = 'not_ready_0'
c_frontend_src_em = 'EM_FE'
c_frontend_src_operator = 'operator_FE'
c_job_interval_minutes = 30
c_json_key_operator_group = 'Operator Group'
c_redis_key_operator_group = 'operatorGroup'
c_json_key_operator = 'Operator'
c_redis_key_operator = 'operatorName'
c_json_key_domain_id = 'Domain ID'
c_redis_key_domain_id = 'domainId'
c_json_key_gm_core_env = 'GM Core Env'
c_redis_key_gm_core_env = 'gmENV'
c_json_key_partner_id = 'Partner ID(ServerAPI ID)'
c_redis_key_partner_id = 'partnerID'
c_json_key_partner_key = 'Partner Key(Code)'
c_redis_key_partner_key = 'partnerKey'
c_json_key_environment = 'Environment'
c_redis_key_environment = 'environment'
c_json_key_frontend = 'Frontend'
c_redis_key_frontend = 'frontend'
c_json_key_region = 'REGION'
c_redis_key_region = 'region'
c_json_key_status = 'STATUS'
c_redis_key_status = 'status'
c_json_key_player_api = 'PLAYER API'
c_redis_key_player_api = 'playerAPI'
c_json_key_casino_api = 'CASINO API'
c_redis_key_casino_api = 'casinoAPI'
c_json_key_live_lobby = 'LIVELOBBY'
c_redis_key_live_lobby = 'liveLobby'
c_json_key_gic = 'GIC'
c_redis_key_gic = 'GIC'
c_json_key_notification = 'Notification'
c_redis_key_notification = 'Notification'
c_json_key_balance_updates = 'Balance updates'
c_redis_key_balance_updates = 'BalanceUpdate'
c_redis_key_casino_version_url = 'casino_version_url'
c_redis_key_casino_version_tag = 'casino_version_tag'
c_redis_key_casino_version_deploy_time = 'casino_version_deploy_time'
c_redis_key_player_version_url = 'player_version_url'
c_redis_key_player_version_tag = 'player_version_tag'
c_redis_key_player_version_deploy_time = 'player_version_deploy_time'
c_redis_key_update_time = 'update_time'
c_redis_key_key = 'key'
c_default_version_info_url_empty = {'domainId': 0, 'tag': 'not_ready_1', 'deployTime': 'not_ready_1'}
c_default_version_info_404_url_not_found = {'domainId': 0, 'tag': 'not_ready_2', 'deployTime': 'not_ready_2'} |
'''A program to distribute candy to boys with array rating
each boy will get one more candy than the boy with less rating than him
example:[0,1,6] will return
1+2+3=6
[1,1,1,2,3,2+10]
=>1+1+1+2+2+3+4
'''
def distr(A:list):
A= sorted(A)
no_candy=1
the_boy=0
total_candy=0
for boy in A:
if the_boy == boy:
total_candy = total_candy+ no_candy
else:
no_candy+=1
total_candy+=no_candy
the_boy = boy
return total_candy
print(distr([3,5,2,7,9,2,2,0,3]))
| """A program to distribute candy to boys with array rating
each boy will get one more candy than the boy with less rating than him
example:[0,1,6] will return
1+2+3=6
[1,1,1,2,3,2+10]
=>1+1+1+2+2+3+4
"""
def distr(A: list):
a = sorted(A)
no_candy = 1
the_boy = 0
total_candy = 0
for boy in A:
if the_boy == boy:
total_candy = total_candy + no_candy
else:
no_candy += 1
total_candy += no_candy
the_boy = boy
return total_candy
print(distr([3, 5, 2, 7, 9, 2, 2, 0, 3])) |
# Definition for a Node.
class Node:
def __init__(self, x: int, next: "Node" = None, random: "Node" = None):
self.val = int(x)
self.next = next
self.random = random
class Solution:
def copyRandomList(self, head: "Node") -> "Node":
if not head:
return None
node = head
d = {}
while node:
new_node = Node(node.val)
d[node] = new_node
node = node.next
node = head
new_head = d[head]
while node:
new_node = d[node]
if node.next:
new_node.next = d[node.next]
if node.random:
new_node.random = d[node.random]
node = node.next
return new_head
| class Node:
def __init__(self, x: int, next: 'Node'=None, random: 'Node'=None):
self.val = int(x)
self.next = next
self.random = random
class Solution:
def copy_random_list(self, head: 'Node') -> 'Node':
if not head:
return None
node = head
d = {}
while node:
new_node = node(node.val)
d[node] = new_node
node = node.next
node = head
new_head = d[head]
while node:
new_node = d[node]
if node.next:
new_node.next = d[node.next]
if node.random:
new_node.random = d[node.random]
node = node.next
return new_head |
# All things for a HAP characteristic.
class HAP_FORMAT:
BOOL = 'bool'
INT = 'int'
FLOAT = 'float'
STRING = 'string'
ARRAY = 'array'
DICTIONARY = 'dictionary'
UINT8 = 'uint8'
UINT16 = 'uint16'
UINT32 = 'uint32'
UINT64 = 'uint64'
DATA = 'data'
TLV8 = 'tlv8'
NUMERIC = (INT, FLOAT, UINT8, UINT16, UINT32, UINT64)
DEFAULT = {
BOOL: False,
INT: 0,
FLOAT: 0.,
STRING: "",
ARRAY: "",
DICTIONARY: "",
UINT8: 0,
UINT16: 0,
UINT32: 0,
UINT64: 0,
DATA: "",
TLV8: "",
}
class HAP_UNITS:
CELSIUS = 'celsius'
PERCENTAGE = 'percentage'
ARC_DEGREE = 'arcdegrees'
LUX = 'lux'
SECONDS = 'seconds'
class HAP_PERMISSIONS:
READ = 'pr'
WRITE = 'pw'
NOTIFY = 'ev'
HIDDEN = 'hd'
class CharacteristicError(Exception):
pass
class Characteristic(object):
def __init__(self, display_name, type_id, properties, value=None, broker=None):
self.display_name = display_name
self.type_id = type_id
assert "format" in properties and "perms" in properties
self.properties = properties
self.value = value or HAP_FORMAT.DEFAULT[properties["format"]]
self.broker = broker
self.setter_callback = None
def set_value(self, value, should_notify=True):
self.value = value
if self.setter_callback is not None:
self.setter_callback(value)
if should_notify:
self.notify()
def get_value(self):
return self.value
def notify(self):
data = {
"type_id": self.type_id,
"value": self.value,
}
self.broker.publish(data)
def _value_to_HAP(self):
hap_rep = {}
if self.properties["format"] == HAP_FORMAT.STRING:
val = self.value[:256]
if len(self.value) > 64:
hap_rep["maxLen"] = min(len(self.value), 256)
elif self.properties["format"] in HAP_FORMAT.NUMERIC:
if self.value > self.properties["max_value"]:
val = self.properties["max_value"]
else:
val = max(self.value, self.properties["min_value"])
hap_rep["maxValue"] = self.properties["max_value"]
hap_rep["minValue"] = self.properties["min_value"]
hap_rep["minStep"] = self.properties["min_step"]
if "unit" in self.properties:
hap_rep["unit"] = self.properties["unit"]
else:
val = self.value
if HAP_PERMISSIONS.READ in self.properties["perms"]:
hap_rep["value"] = val
return hap_rep
def to_HAP(self, uuids):
hap_rep = {
"iid": uuids[self.type_id],
"type": str(self.type_id).upper(),
"description": self.display_name,
"perms": self.properties["perms"],
"format": self.properties["format"],
}
hap_rep.update(self._value_to_HAP())
return hap_rep
| class Hap_Format:
bool = 'bool'
int = 'int'
float = 'float'
string = 'string'
array = 'array'
dictionary = 'dictionary'
uint8 = 'uint8'
uint16 = 'uint16'
uint32 = 'uint32'
uint64 = 'uint64'
data = 'data'
tlv8 = 'tlv8'
numeric = (INT, FLOAT, UINT8, UINT16, UINT32, UINT64)
default = {BOOL: False, INT: 0, FLOAT: 0.0, STRING: '', ARRAY: '', DICTIONARY: '', UINT8: 0, UINT16: 0, UINT32: 0, UINT64: 0, DATA: '', TLV8: ''}
class Hap_Units:
celsius = 'celsius'
percentage = 'percentage'
arc_degree = 'arcdegrees'
lux = 'lux'
seconds = 'seconds'
class Hap_Permissions:
read = 'pr'
write = 'pw'
notify = 'ev'
hidden = 'hd'
class Characteristicerror(Exception):
pass
class Characteristic(object):
def __init__(self, display_name, type_id, properties, value=None, broker=None):
self.display_name = display_name
self.type_id = type_id
assert 'format' in properties and 'perms' in properties
self.properties = properties
self.value = value or HAP_FORMAT.DEFAULT[properties['format']]
self.broker = broker
self.setter_callback = None
def set_value(self, value, should_notify=True):
self.value = value
if self.setter_callback is not None:
self.setter_callback(value)
if should_notify:
self.notify()
def get_value(self):
return self.value
def notify(self):
data = {'type_id': self.type_id, 'value': self.value}
self.broker.publish(data)
def _value_to_hap(self):
hap_rep = {}
if self.properties['format'] == HAP_FORMAT.STRING:
val = self.value[:256]
if len(self.value) > 64:
hap_rep['maxLen'] = min(len(self.value), 256)
elif self.properties['format'] in HAP_FORMAT.NUMERIC:
if self.value > self.properties['max_value']:
val = self.properties['max_value']
else:
val = max(self.value, self.properties['min_value'])
hap_rep['maxValue'] = self.properties['max_value']
hap_rep['minValue'] = self.properties['min_value']
hap_rep['minStep'] = self.properties['min_step']
if 'unit' in self.properties:
hap_rep['unit'] = self.properties['unit']
else:
val = self.value
if HAP_PERMISSIONS.READ in self.properties['perms']:
hap_rep['value'] = val
return hap_rep
def to_hap(self, uuids):
hap_rep = {'iid': uuids[self.type_id], 'type': str(self.type_id).upper(), 'description': self.display_name, 'perms': self.properties['perms'], 'format': self.properties['format']}
hap_rep.update(self._value_to_HAP())
return hap_rep |
# encoding: utf-8
_default_allow_actions = (
'site_read',
'user_create',
'sysadmin', # pseudo-action that CKAN calls check_access for
'dashboard_new_activities_count',
'dashboard_activity_list',
'package_search',
'organization_list_for_user',
'organization_list',
'group_list',
'group_edit_permissions', # another pseudo-action
)
def is_action_allowed_by_default(action_name):
"""
Indicates whether the given action does not require an explicit role permission.
:returns: boolean
"""
return action_name in _default_allow_actions
| _default_allow_actions = ('site_read', 'user_create', 'sysadmin', 'dashboard_new_activities_count', 'dashboard_activity_list', 'package_search', 'organization_list_for_user', 'organization_list', 'group_list', 'group_edit_permissions')
def is_action_allowed_by_default(action_name):
"""
Indicates whether the given action does not require an explicit role permission.
:returns: boolean
"""
return action_name in _default_allow_actions |
""" Dont duplicate errors same type. """
DUPLICATES = (
# multiple statements on one line
[('pep8', 'E701'), ('pylint', 'C0321')],
# missing whitespace around operator
[('pep8', 'E225'), ('pylint', 'C0326')],
# unused variable
[('pylint', 'W0612'), ('pyflakes', 'W0612')],
# undefined variable
[('pylint', 'E0602'), ('pyflakes', 'E0602')],
# unused import
[('pylint', 'W0611'), ('pyflakes', 'W0611')],
# unexpected spaces
[('pylint', 'C0326'), ('pep8', 'E251')],
# long lines
[('pylint', 'C0301'), ('pep8', 'E501')],
# whitespace before '('
[('pylint', 'C0326'), ('pep8', 'E211')],
# statement ends with a semicolon
[('pylint', 'W0301'), ('pep8', 'E703')],
# multiple statements on one line
[('pylint', 'C0321'), ('pep8', 'E702')],
# bad indentation
[('pylint', 'W0311'), ('pep8', 'E111')],
)
DUPLICATES = dict((key, values) for values in DUPLICATES for key in values)
class Error(object):
""" Store error information. """
def __init__(self, linter="", col=1, lnum=1, type="E",
text="unknown error", filename="", **kwargs):
""" Init error information with default values. """
text = ' '.join(str(text).strip().split('\n'))
if linter:
text = "%s [%s]" % (text, linter)
number = text.split(' ', 1)[0]
self._info = dict(linter=linter, col=col, lnum=lnum, type=type,
text=text, filename=filename, number=number)
def __getattr__(self, name):
return self._info[name]
def __getitem__(self, name):
return self._info[name]
def get(self, name, default=None):
""" Implement dictionary `get` method. """
return self._info.get(name, default)
def __repr__(self):
return "<Error: %s %s>" % (self.number, self.linter)
# pylama:ignore=W0622,D
| """ Dont duplicate errors same type. """
duplicates = ([('pep8', 'E701'), ('pylint', 'C0321')], [('pep8', 'E225'), ('pylint', 'C0326')], [('pylint', 'W0612'), ('pyflakes', 'W0612')], [('pylint', 'E0602'), ('pyflakes', 'E0602')], [('pylint', 'W0611'), ('pyflakes', 'W0611')], [('pylint', 'C0326'), ('pep8', 'E251')], [('pylint', 'C0301'), ('pep8', 'E501')], [('pylint', 'C0326'), ('pep8', 'E211')], [('pylint', 'W0301'), ('pep8', 'E703')], [('pylint', 'C0321'), ('pep8', 'E702')], [('pylint', 'W0311'), ('pep8', 'E111')])
duplicates = dict(((key, values) for values in DUPLICATES for key in values))
class Error(object):
""" Store error information. """
def __init__(self, linter='', col=1, lnum=1, type='E', text='unknown error', filename='', **kwargs):
""" Init error information with default values. """
text = ' '.join(str(text).strip().split('\n'))
if linter:
text = '%s [%s]' % (text, linter)
number = text.split(' ', 1)[0]
self._info = dict(linter=linter, col=col, lnum=lnum, type=type, text=text, filename=filename, number=number)
def __getattr__(self, name):
return self._info[name]
def __getitem__(self, name):
return self._info[name]
def get(self, name, default=None):
""" Implement dictionary `get` method. """
return self._info.get(name, default)
def __repr__(self):
return '<Error: %s %s>' % (self.number, self.linter) |
'''from rasa.core.agent import Agent
from rasa.utils.endpoints import EndpointConfig
import asyncio
import logging
logger = logging.getLogger("app.main")
class RasaAgent():
def __init__(self, **kwargs):
self.model_name = kwargs.get('model')
self.response = None
self.message = None
self.action_endpoint = "http://localhost:5055/webhook"
self.modal_dir = "../DigitalBeing/server/agents/rasa/models/"
def invoke(self, **kwargs):
self.message = kwargs.get('message')
modal_path = f"{self.modal_dir}{self.model_name}.tar.gz"
agent = Agent.load(modal_path, action_endpoint=EndpointConfig(self.action_endpoint))
if agent.is_ready():
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
loop = asyncio.get_event_loop()
self.response = loop.run_until_complete(agent.handle_text(self.message))
agent_response_data = agent.tracker_store.retrieve_full_tracker("default")._latest_message_data()
intent = agent_response_data.get('intent',{})
confidence = intent.get('confidence', 0)
if confidence >= 0.20:
return self.response[0].get("text")
else:
return "Im sorry can you elaborate?"
else:
logger.exception("Exception: select from available rasa models")''' | """from rasa.core.agent import Agent
from rasa.utils.endpoints import EndpointConfig
import asyncio
import logging
logger = logging.getLogger("app.main")
class RasaAgent():
def __init__(self, **kwargs):
self.model_name = kwargs.get('model')
self.response = None
self.message = None
self.action_endpoint = "http://localhost:5055/webhook"
self.modal_dir = "../DigitalBeing/server/agents/rasa/models/"
def invoke(self, **kwargs):
self.message = kwargs.get('message')
modal_path = f"{self.modal_dir}{self.model_name}.tar.gz"
agent = Agent.load(modal_path, action_endpoint=EndpointConfig(self.action_endpoint))
if agent.is_ready():
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
loop = asyncio.get_event_loop()
self.response = loop.run_until_complete(agent.handle_text(self.message))
agent_response_data = agent.tracker_store.retrieve_full_tracker("default")._latest_message_data()
intent = agent_response_data.get('intent',{})
confidence = intent.get('confidence', 0)
if confidence >= 0.20:
return self.response[0].get("text")
else:
return "Im sorry can you elaborate?"
else:
logger.exception("Exception: select from available rasa models")""" |
# https://www.codewars.com/kata/5667e8f4e3f572a8f2000039/train/python
#Take each letters index
#Add to string each letters multiplied by its index (first letter must be uppercase and others lowercase)
#Add - between each set
def accum(s):
accummedStr=s[0].upper()
for i in range(1,len(s)): accummedStr+="-"+s[i].upper()+(s[i].lower()*i)
return accummedStr
#myStr=input("String: ")
#print(accum(myStr))
| def accum(s):
accummed_str = s[0].upper()
for i in range(1, len(s)):
accummed_str += '-' + s[i].upper() + s[i].lower() * i
return accummedStr |
with open('test.txt', 'r+') as f:
f.seek(15)
print(f.readline())
with open('test.txt') as f:
data = []
for d in f:
data.append(d)
print(data) | with open('test.txt', 'r+') as f:
f.seek(15)
print(f.readline())
with open('test.txt') as f:
data = []
for d in f:
data.append(d)
print(data) |
def figure_layout(annotations=None, title_text=None, x_label=None, y_label=None, show_legend=False):
"""Customize plotly figures
Parameters
----------
annotations: a list of dictionaries informing the values of parameters
to format annotations.
x_label: str. Title for the xaxis.
y_label: str. Title for the yaxis.
show_legend: boolean. If 'True' show legend.
"""
layout_parameters = dict(xaxis=dict(showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial',
size=12,
color='rgb(82, 82, 82)')
),
yaxis=dict(showline=True,
showgrid=False,
showticklabels=True,
linecolor='rgb(204, 204, 204)',
linewidth=2,
ticks='outside',
tickfont=dict(family='Arial',
size=12,
color='rgb(82, 82, 82)')
),
title=dict(text=title_text,
font=dict(family='Arial',
size=20,
color='rgb(37,37,37)'),
),
showlegend=show_legend,
plot_bgcolor='white',
autosize=True,
yaxis_title = y_label,
xaxis_title = x_label,
annotations = annotations
)
return layout_parameters | def figure_layout(annotations=None, title_text=None, x_label=None, y_label=None, show_legend=False):
"""Customize plotly figures
Parameters
----------
annotations: a list of dictionaries informing the values of parameters
to format annotations.
x_label: str. Title for the xaxis.
y_label: str. Title for the yaxis.
show_legend: boolean. If 'True' show legend.
"""
layout_parameters = dict(xaxis=dict(showline=True, showgrid=False, showticklabels=True, linecolor='rgb(204, 204, 204)', linewidth=2, ticks='outside', tickfont=dict(family='Arial', size=12, color='rgb(82, 82, 82)')), yaxis=dict(showline=True, showgrid=False, showticklabels=True, linecolor='rgb(204, 204, 204)', linewidth=2, ticks='outside', tickfont=dict(family='Arial', size=12, color='rgb(82, 82, 82)')), title=dict(text=title_text, font=dict(family='Arial', size=20, color='rgb(37,37,37)')), showlegend=show_legend, plot_bgcolor='white', autosize=True, yaxis_title=y_label, xaxis_title=x_label, annotations=annotations)
return layout_parameters |
def move_zeros_to_left(A):
if len(A) < 1: return
lengthA = len(A)
write_index = lengthA - 1
read_index = lengthA - 1
while(read_index >= 0):
if A[read_index] != 0:
A[write_index] = A[read_index]
write_index -= 1
read_index -= 1
while (write_index >= 0):
A[write_index] = 0
write_index -= 1
return A
# Driver Code
A = [1, 0, 10, 20, 0, 59, 0, 63, 88]
print(move_zeros_to_left(A))
| def move_zeros_to_left(A):
if len(A) < 1:
return
length_a = len(A)
write_index = lengthA - 1
read_index = lengthA - 1
while read_index >= 0:
if A[read_index] != 0:
A[write_index] = A[read_index]
write_index -= 1
read_index -= 1
while write_index >= 0:
A[write_index] = 0
write_index -= 1
return A
a = [1, 0, 10, 20, 0, 59, 0, 63, 88]
print(move_zeros_to_left(A)) |
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
}
}
INSTALLED_APPS=[
'tests',
]
DEBUG = False
SITE_ID = 1 | databases = {'default': {'ENGINE': 'django.db.backends.sqlite3'}}
installed_apps = ['tests']
debug = False
site_id = 1 |
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 30 18:07:30 2020
@author: user
"""
| """
Created on Sun Aug 30 18:07:30 2020
@author: user
""" |
n = int(input())
a = list(map(int, input().split()))
a = sorted(a)
c = 0
for i in range(0,n,2):
c = c + a[i+1]-a[i]
print(c)
| n = int(input())
a = list(map(int, input().split()))
a = sorted(a)
c = 0
for i in range(0, n, 2):
c = c + a[i + 1] - a[i]
print(c) |
# Do not edit the class below except
# for the breadthFirstSearch method.
# Feel free to add new properties
# and methods to the class.
class Node:
def __init__(self, name):
self.children = []
self.name = name
def addChild(self, name):
self.children.append(Node(name))
return self
def breadthFirstSearch(self, array):
# Write your code here.
queue = [self]
while len(queue) > 0:
cur_node = queue.pop(0)
for child in cur_node.children:
queue.append(child)
array.append(cur_node.name)
return array
| class Node:
def __init__(self, name):
self.children = []
self.name = name
def add_child(self, name):
self.children.append(node(name))
return self
def breadth_first_search(self, array):
queue = [self]
while len(queue) > 0:
cur_node = queue.pop(0)
for child in cur_node.children:
queue.append(child)
array.append(cur_node.name)
return array |
confThreshold= 0.5
nmsThreshold = 0.4
inpWidth = 416
inpHeight = 416
classesFile = "coco.names"
classes = None
with open(classesFile,"rt") as f:
classes = f.read().rstrip("\n").split("\n")
print(classes) | conf_threshold = 0.5
nms_threshold = 0.4
inp_width = 416
inp_height = 416
classes_file = 'coco.names'
classes = None
with open(classesFile, 'rt') as f:
classes = f.read().rstrip('\n').split('\n')
print(classes) |
#!/usr/bin/python
# height2.py
print ('Height: %.2f %s' % (172.3, 'cm'))
print ('Height: {0:.2f} {1:s}'.format(172.3, 'cm'))
| print('Height: %.2f %s' % (172.3, 'cm'))
print('Height: {0:.2f} {1:s}'.format(172.3, 'cm')) |
#
# PySNMP MIB module EFM-CU-MIB (http://pysnmp.sf.net)
# ASN.1 source http://mibs.snmplabs.com:80/asn1/EFM-CU-MIB
# Produced by pysmi-0.0.7 at Sun Feb 14 00:11:39 2016
# On host bldfarm platform Linux version 4.1.13-100.fc21.x86_64 by user goose
# Using Python version 3.5.0 (default, Jan 5 2016, 17:11:52)
#
( OctetString, ObjectIdentifier, Integer, ) = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
( NamedValues, ) = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
( ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint, ) = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
( ifIndex, ifSpeed, ) = mibBuilder.importSymbols("IF-MIB", "ifIndex", "ifSpeed")
( SnmpAdminString, ) = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
( ObjectGroup, NotificationGroup, ModuleCompliance, ) = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
( Bits, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, mib_2, IpAddress, Integer32, NotificationType, Unsigned32, ObjectIdentity, Counter64, TimeTicks, Gauge32, iso, Counter32, ) = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "mib-2", "IpAddress", "Integer32", "NotificationType", "Unsigned32", "ObjectIdentity", "Counter64", "TimeTicks", "Gauge32", "iso", "Counter32")
( TextualConvention, DisplayString, TruthValue, PhysAddress, RowStatus, ) = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "TruthValue", "PhysAddress", "RowStatus")
efmCuMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 167)).setRevisions(("2007-11-14 00:00",))
if mibBuilder.loadTexts: efmCuMIB.setLastUpdated('200711140000Z')
if mibBuilder.loadTexts: efmCuMIB.setOrganization('IETF Ethernet Interfaces and Hub MIB Working Group')
if mibBuilder.loadTexts: efmCuMIB.setContactInfo('WG charter:\n http://www.ietf.org/html.charters/OLD/hubmib-charter.html\n\n\n\n Mailing Lists:\n General Discussion: hubmib@ietf.org\n To Subscribe: hubmib-request@ietf.org\n In Body: subscribe your_email_address\n\n Chair: Bert Wijnen\n Postal: Alcatel-Lucent\n Schagen 33\n 3461 GL Linschoten\n Netherlands\n Phone: +31-348-407-775\n EMail: bwijnen@alcatel-lucent.com\n\n Editor: Edward Beili\n Postal: Actelis Networks Inc.\n 25 Bazel St., P.O.B. 10173\n Petach-Tikva 10173\n Israel\n Phone: +972-3-924-3491\n Email: edward.beili@actelis.com')
if mibBuilder.loadTexts: efmCuMIB.setDescription("The objects in this MIB module are used to manage\n the Ethernet in the First Mile (EFM) Copper (EFMCu) Interfaces\n 2BASE-TL and 10PASS-TS, defined in IEEE Std. 802.3ah-2004,\n which is now a part of IEEE Std. 802.3-2005.\n\n The following references are used throughout this MIB module:\n\n [802.3ah] refers to:\n IEEE Std 802.3ah-2004: 'IEEE Standard for Information\n technology - Telecommunications and information exchange\n between systems - Local and metropolitan area networks -\n Specific requirements -\n Part 3: Carrier Sense Multiple Access with Collision\n Detection (CSMA/CD) Access Method and Physical Layer\n Specifications -\n Amendment: Media Access Control Parameters, Physical\n Layers and Management Parameters for Subscriber Access\n Networks', 07 September 2004.\n\n Of particular interest are Clause 61, 'Physical Coding\n Sublayer (PCS) and common specifications, type 10PASS-TS and\n type 2BASE-TL', Clause 30, 'Management', Clause 45,\n 'Management Data Input/Output (MDIO) Interface', Annex 62A,\n 'PMD profiles for 10PASS-TS' and Annex 63A, 'PMD profiles for\n 2BASE-TL'.\n\n\n\n\n [G.991.2] refers to:\n ITU-T Recommendation G.991.2: 'Single-pair High-speed Digital\n Subscriber Line (SHDSL) transceivers', December 2003.\n\n [ANFP] refers to:\n NICC Document ND1602:2005/08: 'Specification of the Access\n Network Frequency Plan (ANFP) applicable to transmission\n systems used on the BT Access Network,' August 2005.\n\n The following normative documents are quoted by the DESCRIPTION\n clauses in this MIB module:\n\n [G.993.1] refers to:\n ITU-T Recommendation G.993.1: 'Very High speed Digital\n Subscriber Line transceivers', June 2004.\n\n [T1.424] refers to:\n ANSI T1.424-2004: 'Interface Between Networks and Customer\n Installation Very-high-bit-rate Digital Subscriber Lines\n (VDSL) Metallic Interface (DMT Based)', June 2004.\n\n [TS 101 270-1] refers to:\n ETSI TS 101 270-1: 'Transmission and Multiplexing (TM);\n Access transmission systems on metallic access cables;\n Very high speed Digital Subscriber Line (VDSL); Part 1:\n Functional requirements', October 2005.\n\n Naming Conventions:\n Atn - Attenuation\n CO - Central Office\n CPE - Customer Premises Equipment\n EFM - Ethernet in the First Mile\n EFMCu - EFM Copper\n MDIO - Management Data Input/Output\n Mgn - Margin\n PAF - PME Aggregation Function\n PBO - Power Back-Off\n PCS - Physical Coding Sublayer\n PMD - Physical Medium Dependent\n PME - Physical Medium Entity\n PSD - Power Spectral Density\n SNR - Signal to Noise Ratio\n TCPAM - Trellis Coded Pulse Amplitude Modulation\n\n Copyright (C) The IETF Trust (2007). This version\n of this MIB module is part of RFC 5066; see the RFC\n itself for full legal notices.")
efmCuObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1))
efmCuConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2))
efmCuPort = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 1))
efmCuPme = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2))
class EfmProfileIndex(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(1,255)
class EfmProfileIndexOrZero(Unsigned32, TextualConvention):
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec+ValueRangeConstraint(0,255)
class EfmProfileIndexList(OctetString, TextualConvention):
displayHint = '1d:'
subtypeSpec = OctetString.subtypeSpec+ValueSizeConstraint(0,6)
class EfmTruthValueOrUnknown(Integer32, TextualConvention):
subtypeSpec = Integer32.subtypeSpec+ConstraintsUnion(SingleValueConstraint(0, 1, 2,))
namedValues = NamedValues(("unknown", 0), ("true", 1), ("false", 2),)
efmCuPortNotifications = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 1, 0))
efmCuLowRateCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 1, 0, 1)).setObjects(*(("EFM-CU-MIB", "ifSpeed"), ("EFM-CU-MIB", "efmCuThreshLowRate"),))
if mibBuilder.loadTexts: efmCuLowRateCrossing.setDescription("This notification indicates that the EFMCu port's data rate\n has reached/dropped below or exceeded the low rate threshold,\n specified by efmCuThreshLowRate.\n\n This notification MAY be sent for the -O subtype ports\n (2BaseTL-O/10PassTS-O) while the port is Up, on the crossing\n event in both directions: from normal (rate is above the\n threshold) to low (rate equals the threshold or below it) and\n\n\n\n from low to normal. This notification is not applicable to\n the -R subtypes.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent simultaneous LinkUp/LinkDown and\n efmCuLowRateCrossing notifications to be sent.\n\n The adaptive nature of the EFMCu technology allows the port to\n adapt itself to the changes in the copper environment, e.g.,\n an impulse noise, alien crosstalk, or a micro-interruption may\n temporarily drop one or more PMEs in the aggregation group,\n causing a rate degradation of the aggregated EFMCu link.\n The dropped PMEs would then try to re-initialize, possibly at\n a lower rate than before, adjusting the rate to provide\n required target SNR margin.\n\n Generation of this notification is controlled by the\n efmCuLowRateCrossingEnable object.")
efmCuPortConfTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 1), )
if mibBuilder.loadTexts: efmCuPortConfTable.setDescription('Table for Configuration of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner.')
efmCuPortConfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortConfEntry.setDescription('An entry in the EFMCu Port Configuration table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuPAFAdminState = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFAdminState.setDescription("Administrative (desired) state of the PAF of the EFMCu port\n (PCS).\n When 'disabled', PME aggregation will not be performed by the\n PCS. No more than a single PME can be assigned to this PCS in\n this case.\n When 'enabled', PAF will be performed by the PCS when the link\n is Up, even on a single attached PME, if PAF is supported.\n\n PCS ports incapable of supporting PAF SHALL return a value of\n 'disabled'. Attempts to 'enable' such ports SHALL be\n rejected.\n\n A PAF 'enabled' port with multiple PMEs assigned cannot be\n 'disabled'. Attempts to 'disable' such port SHALL be\n rejected, until at most one PME is left assigned.\n\n Changing PAFAdminState is a traffic-disruptive operation and\n as such SHALL be done when the link is Down. Attempts to\n change this object SHALL be rejected if the link is Up or\n Initializing.\n\n This object maps to the Clause 30 attribute aPAFAdminState.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object maps to the PAF enable bit in the 10P/2B PCS control\n register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPAFDiscoveryCode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 2), PhysAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(0,0),ValueSizeConstraint(6,6),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFDiscoveryCode.setDescription('PAF Discovery Code of the EFMCu port (PCS).\n A unique 6-octet code used by the Discovery function,\n when PAF is supported.\n PCS ports incapable of supporting PAF SHALL return a\n zero-length octet string on an attempt to read this object.\n An attempt to write to this object SHALL be rejected for such\n ports.\n This object MUST be instantiated for the -O subtype PCS before\n writing operations on the efmCuPAFRemoteDiscoveryCode\n (Set_if_Clear and Clear_if_Same) are performed by PMEs\n associated with the PCS.\n The initial value of this object for -R subtype ports after\n reset is all zeroes. For -R subtype ports, the value of this\n object cannot be changed directly. This value may be changed\n as a result of writing operation on the\n efmCuPAFRemoteDiscoveryCode object of remote PME of -O\n subtype, connected to one of the local PMEs associated with\n the PCS.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n The PAF Discovery Code maps to the local Discovery code\n variable in PAF (note that it does not have a corresponding\n Clause 45 register).')
efmCuAdminProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 3), EfmProfileIndexList().clone(hexValue="01")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuAdminProfile.setDescription('Desired configuration profile(s), common for all PMEs in the\n EFMCu port. This object is a list of pointers to entries in\n either efmCuPme2BProfileTable or\n efmCuPme10PProfileTable, depending on the current\n operating SubType of the EFMCu port as indicated by\n efmCuPortSide.\n\n\n\n The value of this object is a list of up to 6 indices of\n profiles. If this list consists of a single profile index,\n then all PMEs assigned to this EFMCu port SHALL be configured\n according to the profile referenced by that index, unless it\n is overwritten by a corresponding non-zero\n efmCuPmeAdminProfile instance, which takes precedence over\n efmCuAdminProfile.\n A list consisting of more than one index allows each PME\n in the port to be configured according to any profile\n specified in the list.\n By default, this object has a value of 0x01, referencing the\n 1st entry in efmCuPme2BProfileTable or\n efmCuPme10PProfileTable.\n\n This object is writable and readable for the -O subtype\n (2BaseTL-O or 10PassTS-O) EFMCu ports. It is irrelevant for\n the -R subtype (2BaseTL-R or 10PassTS-R) ports -- a\n zero-length octet string SHALL be returned on an attempt to\n read this object and an attempt to change this object MUST be\n rejected in this case.\n\n Note that the current operational profile value is available\n via the efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n Attempts to set this object to a list with a member value that\n is not the value of the index for an active entry in the\n corresponding profile table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efmCuTargetDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(1,100000),ValueRangeConstraint(999999,999999),))).setUnits('Kbps').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuTargetDataRate.setDescription("Desired EFMCu port 'net' (as seen across MII) Data Rate in\n Kbps, to be achieved during initialization, under spectral\n restrictions placed on each PME via efmCuAdminProfile or\n\n\n\n efmCuPmeAdminProfile, with the desired SNR margin specified by\n efmCuTargetSnrMgn.\n In case of PAF, this object represents a sum of individual PME\n data rates, modified to compensate for fragmentation and\n 64/65-octet encapsulation overhead (e.g., target data rate of\n 10 Mbps SHALL allow lossless transmission of a full-duplex\n 10 Mbps Ethernet frame stream with minimal inter-frame gap).\n\n The value is limited above by 100 Mbps as this is the max\n burst rate across MII for EFMCu ports.\n\n The value between 1 and 100000 indicates that the total data\n rate (ifSpeed) of the EFMCu port after initialization SHALL be\n equal to the target data rate or less, if the target data rate\n cannot be achieved under spectral restrictions specified by\n efmCuAdminProfile/efmCuPmeAdminProfile and with the desired\n SNR margin. In case the copper environment allows a higher\n total data rate to be achieved than that specified by the\n target, the excess capability SHALL be either converted to\n additional SNR margin or reclaimed by minimizing transmit\n power as controlled by efmCuAdaptiveSpectra.\n\n The value of 999999 means that the target data rate is not\n fixed and SHALL be set to the maximum attainable rate during\n initialization (Best Effort), under specified spectral\n restrictions and with the desired SNR margin.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the Target Data Rate MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current Data Rate of the EFMCu port is\n represented by the ifSpeed object of IF-MIB.\n\n This object MUST be maintained in a persistent manner.")
efmCuTargetSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,21))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuTargetSnrMgn.setDescription('Desired EFMCu port SNR margin to be achieved on all PMEs\n\n\n\n assigned to the port, during initialization. (The SNR margin\n is the difference between the desired SNR and the actual SNR).\n\n Note that 802.3ah recommends using a default target SNR margin\n of 5 dB for 2BASE-TL ports and 6 dB for 10PASS-TS ports in\n order to achieve a mean Bit Error Rate (BER) of 10^-7 at the\n PMA service interface.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the target SNR margin MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current SNR margin of the PMEs comprising the\n EFMCu port is represented by efmCuPmeSnrMgn.\n\n This object MUST be maintained in a persistent manner.')
efmCuAdaptiveSpectra = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 6), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuAdaptiveSpectra.setDescription('Indicates how to utilize excess capacity when the copper\n environment allows a higher total data rate to be achieved\n than that specified by the efmCuTargetDataRate.\n\n A value of true(1) indicates that the excess capability SHALL\n be reclaimed by minimizing transmit power, e.g., using higher\n constellations and Power Back-Off, in order to reduce\n interference to other copper pairs in the binder and the\n adverse impact to link/system performance.\n\n A value of false(2) indicates that the excess capability SHALL\n be converted to additional SNR margin and spread evenly across\n all active PMEs assigned to the (PCS) port, to increase link\n robustness.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of this object MUST be performed when the link is\n\n\n\n Down. Attempts to change this object MUST be rejected (in\n case of SNMP with the error inconsistentValue), if the link\n is Up or Initializing.\n\n This object MUST be maintained in a persistent manner.')
efmCuThreshLowRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1,100000))).setUnits('Kbps').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuThreshLowRate.setDescription('This object configures the EFMCu port low-rate crossing alarm\n threshold. When the current value of ifSpeed for this port\n reaches/drops below or exceeds this threshold, an\n efmCuLowRateCrossing notification MAY be generated if enabled\n by efmCuLowRateCrossingEnable.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efmCuLowRateCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 8), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuLowRateCrossingEnable.setDescription('Indicates whether efmCuLowRateCrossing notifications should\n be generated for this interface.\n\n A value of true(1) indicates that efmCuLowRateCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efmCuPortCapabilityTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 2), )
if mibBuilder.loadTexts: efmCuPortCapabilityTable.setDescription('Table for Capabilities of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner')
efmCuPortCapabilityEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortCapabilityEntry.setDescription('An entry in the EFMCu Port Capability table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuPAFSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 1), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS).\n This object has a value of true(1) when the PCS can perform\n PME aggregation on the available PMEs.\n Ports incapable of PAF SHALL return a value of false(2).\n\n This object maps to the Clause 30 attribute aPAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present,\n then this object maps to the PAF available bit in the\n 10P/2B capability register.')
efmCuPeerPAFSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 2), EfmTruthValueOrUnknown()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPeerPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS) link partner.\n This object has a value of true(1) when the remote PCS can\n perform PME aggregation on its available PMEs.\n Ports whose peers are incapable of PAF SHALL return a value\n of false(2).\n Ports whose peers cannot be reached because of the link\n state SHALL return a value of unknown(0).\n\n This object maps to the Clause 30 attribute\n aRemotePAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the Remote PAF supported bit in the\n 10P/2B capability register.')
efmCuPAFCapacity = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFCapacity.setDescription('Number of PMEs that can be aggregated by the local PAF.\n The number of PMEs currently assigned to a particular\n EFMCu port (efmCuNumPMEs) is never greater than\n efmCuPAFCapacity.\n\n This object maps to the Clause 30 attribute\n aLocalPAFCapacity.')
efmCuPeerPAFCapacity = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(1,32),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPeerPAFCapacity.setDescription('Number of PMEs that can be aggregated by the PAF of the peer\n PHY (PCS port).\n A value of 0 is returned when peer PAF capacity is unknown\n (peer cannot be reached).\n\n\n\n\n This object maps to the Clause 30 attribute\n aRemotePAFCapacity.')
efmCuPortStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 1, 3), )
if mibBuilder.loadTexts: efmCuPortStatusTable.setDescription('This table provides overall status information of EFMCu\n 2BASE-TL/10PASS-TS ports, complementing the generic status\n information from the ifTable of IF-MIB and ifMauTable of\n MAU-MIB. Additional status information about connected PMEs\n is available from the efmCuPmeStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPortStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPortStatusEntry.setDescription('An entry in the EFMCu Port Status table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efmCuFltStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 1), Bits().clone(namedValues=NamedValues(("noPeer", 0), ("peerPowerLoss", 1), ("pmeSubTypeMismatch", 2), ("lowRate", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuFltStatus.setDescription("EFMCu (PCS) port Fault Status. This is a bitmap of possible\n conditions. The various bit positions are:\n noPeer - the peer PHY cannot be reached (e.g.,\n no PMEs attached, all PMEs are Down,\n etc.). More info is available in\n efmCuPmeFltStatus.\n peerPowerLoss - the peer PHY has indicated impending\n unit failure due to loss of local\n power ('Dying Gasp').\n pmeSubTypeMismatch - local PMEs in the aggregation group\n are not of the same subtype, e.g.,\n some PMEs in the local device are -O\n while others are -R subtype.\n lowRate - ifSpeed of the port reached or dropped\n below efmCuThreshLowRate.\n\n This object is intended to supplement the ifOperStatus object\n in IF-MIB and ifMauMediaAvailable in MAU-MIB.\n\n Additional information is available via the efmCuPmeFltStatus\n object for each PME in the aggregation group (single PME if\n PAF is disabled).")
efmCuPortSide = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3,))).clone(namedValues=NamedValues(("subscriber", 1), ("office", 2), ("unknown", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPortSide.setDescription("EFM port mode of operation (subtype).\n The value of 'subscriber' indicates that the port is\n\n\n\n designated as '-R' subtype (all PMEs assigned to this port are\n of subtype '-R').\n The value of the 'office' indicates that the port is\n designated as '-O' subtype (all PMEs assigned to this port are\n of subtype '-O').\n The value of 'unknown' indicates that the port has no assigned\n PMEs yet or that the assigned PMEs are not of the same side\n (subTypePMEMismatch).\n\n This object partially maps to the Clause 30 attribute\n aPhyEnd.")
efmCuNumPMEs = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,32))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuNumPMEs.setDescription('The number of PMEs that is currently aggregated by the local\n PAF (assigned to the EFMCu port using the ifStackTable).\n This number is never greater than efmCuPAFCapacity.\n\n This object SHALL be automatically incremented or decremented\n when a PME is added or deleted to/from the EFMCu port using\n the ifStackTable.')
efmCuPAFInErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInErrors.setDescription('The number of fragments that have been received across the\n gamma interface with RxErr asserted and discarded.\n This read-only counter is inactive (not incremented) when the\n PAF is unsupported or disabled. Upon disabling the PAF, the\n counter retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF RX error register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n\n\n\n defined in IF-MIB.')
efmCuPAFInSmallFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInSmallFragments.setDescription('The number of fragments smaller than minFragmentSize\n (64 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF small fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLargeFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLargeFragments.setDescription('The number of fragments larger than maxFragmentSize\n (512 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF large fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInBadFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInBadFragments.setDescription('The number of fragments that do not fit into the sequence\n expected by the frame assembly function and that have been\n received across the gamma interface and discarded (the\n frame buffer is flushed to the next valid frame start).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF bad fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostFragments = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostFragments.setDescription('The number of gaps in the sequence of fragments that have\n been received across the gamma interface (the frame buffer is\n flushed to the next valid frame start, when fragment/fragments\n expected by the frame assembly function is/are not received).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost fragment register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostStarts = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostStarts.setDescription('The number of missing StartOfPacket indicators expected by\n the frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInLostEnds = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInLostEnds.setDescription('The number of missing EndOfPacket indicators expected by the\n frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPAFInOverflows = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPAFInOverflows.setDescription('The number of fragments, received across the gamma interface\n and discarded, which would have caused the frame assembly\n buffer to overflow.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF overflow register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPmeNotifications = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 0))
efmCuPmeLineAtnCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 1)).setObjects(*(("EFM-CU-MIB", "efmCuPmeLineAtn"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"),))
if mibBuilder.loadTexts: efmCuPmeLineAtnCrossing.setDescription('This notification indicates that the loop attenuation\n threshold (as per the efmCuPmeThreshLineAtn\n value) has been reached/exceeded for the 2BASE-TL/10PASS-TS\n PME. This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeLineAtnCrossingEnable object.')
efmCuPmeSnrMgnCrossing = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 2)).setObjects(*(("EFM-CU-MIB", "efmCuPmeSnrMgn"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"),))
if mibBuilder.loadTexts: efmCuPmeSnrMgnCrossing.setDescription('This notification indicates that the SNR margin threshold\n (as per the efmCuPmeThreshSnrMgn value) has been\n reached/exceeded for the 2BASE-TL/10PASS-TS PME.\n This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeSnrMgnCrossingEnable object.')
efmCuPmeDeviceFault = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 3)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"),))
if mibBuilder.loadTexts: efmCuPmeDeviceFault.setDescription('This notification indicates that a fault in the PME has been\n detected by a vendor-specific diagnostic or a self-test.\n\n Generation of this notification is controlled by the\n efmCuPmeDeviceFaultEnable object.')
efmCuPmeConfigInitFailure = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 4)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuAdminProfile"), ("EFM-CU-MIB", "efmCuPmeAdminProfile"),))
if mibBuilder.loadTexts: efmCuPmeConfigInitFailure.setDescription('This notification indicates that PME initialization has\n failed, due to inability of the PME link to achieve the\n\n\n\n requested configuration profile.\n\n Generation of this notification is controlled by the\n efmCuPmeConfigInitFailEnable object.')
efmCuPmeProtocolInitFailure = NotificationType((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 5)).setObjects(*(("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuPmeOperSubType"),))
if mibBuilder.loadTexts: efmCuPmeProtocolInitFailure.setDescription('This notification indicates that the peer PME was using\n an incompatible protocol during initialization.\n\n Generation of this notification is controlled by the\n efmCuPmeProtocolInitFailEnable object.')
efmCuPmeConfTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 1), )
if mibBuilder.loadTexts: efmCuPmeConfTable.setDescription('Table for Configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). Configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in efmCuPme2BConfTable and efmCuPme10PConfTable,\n respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efmCuPmeConfEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeConfEntry.setDescription('An entry in the EFMCu PME Configuration table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeAdminSubType = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7,))).clone(namedValues=NamedValues(("ieee2BaseTLO", 1), ("ieee2BaseTLR", 2), ("ieee10PassTSO", 3), ("ieee10PassTSR", 4), ("ieee2BaseTLor10PassTSR", 5), ("ieee2BaseTLor10PassTSO", 6), ("ieee10PassTSor2BaseTLO", 7),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeAdminSubType.setDescription('Administrative (desired) subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME SHALL operate as 2BaseTL-O\n ieee2BaseTLR - PME SHALL operate as 2BaseTL-R\n ieee10PassTSO - PME SHALL operate as 10PassTS-O\n ieee10PassTSR - PME SHALL operate as 10PassTS-R\n ieee2BaseTLor10PassTSR - PME SHALL operate as 2BaseTL-R or\n 10PassTS-R. The actual value will\n be set by the -O link partner\n during initialization (handshake).\n ieee2BaseTLor10PassTSO - PME SHALL operate as 2BaseTL-O\n (preferred) or 10PassTS-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 2BaseTL mode, 10PassTS will be\n used).\n ieee10PassTSor2BaseTLO - PME SHALL operate as 10PassTS-O\n\n\n\n (preferred) or 2BaseTL-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 10PassTS mode, 2BaseTL will be\n used).\n\n Changing efmCuPmeAdminSubType is a traffic-disruptive\n operation and as such SHALL be done when the link is Down.\n Attempts to change this object SHALL be rejected if the link\n is Up or Initializing.\n Attempts to change this object to an unsupported subtype\n (see efmCuPmeSubTypesSupported) SHALL be rejected.\n\n The current operational subtype is indicated by the\n efmCuPmeOperSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select bits\n and the PMA/PMD type selection bits in the 10P/2B PMA/PMD\n control register.')
efmCuPmeAdminProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 2), EfmProfileIndexOrZero()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeAdminProfile.setDescription('Desired PME configuration profile. This object is a pointer\n to an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME. The value of this object is the index of\n the referenced profile.\n The value of zero (default) indicates that the PME is\n configured via the efmCuAdminProfile object for the PCS port\n to which this PME is assigned. That is, the profile\n referenced by efmCuPmeAdminProfile takes precedence\n over the profile(s) referenced by efmCuAdminProfile.\n\n This object is writable and readable for the CO subtype PMEs\n (2BaseTL-O or 10PassTS-O). It is irrelevant for the CPE\n subtype (2BaseTL-R or 10PassTS-R) -- a zero value SHALL be\n returned on an attempt to read this object and any attempt\n to change this object MUST be rejected in this case.\n\n\n\n\n Note that the current operational profile value is available\n via efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding profile\n table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efmCuPAFRemoteDiscoveryCode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 3), PhysAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(0,0),ValueSizeConstraint(6,6),))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPAFRemoteDiscoveryCode.setDescription('PAF Remote Discovery Code of the PME port at the CO.\n The 6-octet Discovery Code of the peer PCS connected via\n the PME.\n Reading this object results in a Discovery Get operation.\n Setting this object to all zeroes results in a Discovery\n Clear_if_Same operation (the value of efmCuPAFDiscoveryCode\n at the peer PCS SHALL be the same as efmCuPAFDiscoveryCode of\n the local PCS associated with the PME for the operation to\n succeed).\n Writing a non-zero value to this object results in a\n Discovery Set_if_Clear operation.\n A zero-length octet string SHALL be returned on an attempt to\n read this object when PAF aggregation is not enabled.\n\n This object is irrelevant in CPE port (-R) subtypes: in this\n case, a zero-length octet string SHALL be returned on an\n attempt to read this object; writing to this object SHALL\n be rejected.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n\n\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object is a function of 10P/2B aggregation discovery\n control register, Discovery operation result bits in 10P/2B\n aggregation and discovery status register and\n 10P/2B aggregation discovery code register.')
efmCuPmeThreshLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-127,128))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeThreshLineAtn.setDescription('Desired Line Attenuation threshold for the 2B/10P PME.\n This object configures the line attenuation alarm threshold.\n When the current value of Line Attenuation reaches or\n exceeds this threshold, an efmCuPmeLineAtnCrossing\n notification MAY be generated, if enabled by\n efmCuPmeLineAtnCrossingEnable.\n\n This object is writable for the CO subtype PMEs (-O).\n It is read-only for the CPE subtype (-R).\n\n Changing of the Line Attenuation threshold MUST be performed\n when the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the loop attenuation threshold bits in\n the 2B PMD line quality thresholds register.')
efmCuPmeThreshSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-127,128))).setUnits('dB').setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeThreshSnrMgn.setDescription('Desired SNR margin threshold for the 2B/10P PME.\n This object configures the SNR margin alarm threshold.\n When the current value of SNR margin reaches or exceeds this\n threshold, an efmCuPmeSnrMgnCrossing notification MAY be\n generated, if enabled by efmCuPmeSnrMgnCrossingEnable.\n\n\n\n This object is writable for the CO subtype PMEs\n (2BaseTL-O/10PassTS-O). It is read-only for the CPE subtype\n (2BaseTL-R/10PassTS-R).\n\n Changing of the SNR margin threshold MUST be performed when\n the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the SNR margin threshold bits in the 2B PMD\n line quality thresholds register.')
efmCuPmeLineAtnCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 6), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeLineAtnCrossingEnable.setDescription('Indicates whether efmCuPmeLineAtnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeLineAtnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeSnrMgnCrossingEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 7), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeSnrMgnCrossingEnable.setDescription('Indicates whether efmCuPmeSnrMgnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeSnrMgnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeDeviceFaultEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 8), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeDeviceFaultEnable.setDescription('Indicates whether efmCuPmeDeviceFault notifications\n\n\n\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeDeviceFault\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeConfigInitFailEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 9), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeConfigInitFailEnable.setDescription('Indicates whether efmCuPmeConfigInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeConfigInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeProtocolInitFailEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 10), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: efmCuPmeProtocolInitFailEnable.setDescription('Indicates whether efmCuPmeProtocolInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeProtocolInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efmCuPmeCapabilityTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 2), )
if mibBuilder.loadTexts: efmCuPmeCapabilityTable.setDescription('Table for the configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). The configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in the efmCuPme2BConfTable and the\n efmCuPme10PConfTable, respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efmCuPmeCapabilityEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeCapabilityEntry.setDescription('An entry in the EFMCu PME Capability table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeSubTypesSupported = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1, 1), Bits().clone(namedValues=NamedValues(("ieee2BaseTLO", 0), ("ieee2BaseTLR", 1), ("ieee10PassTSO", 2), ("ieee10PassTSR", 3),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeSubTypesSupported.setDescription('PME supported subtypes. This is a bitmap of possible\n subtypes. The various bit positions are:\n ieee2BaseTLO - PME is capable of operating as 2BaseTL-O\n ieee2BaseTLR - PME is capable of operating as 2BaseTL-R\n ieee10PassTSO - PME is capable of operating as 10PassTS-O\n ieee10PassTSR - PME is capable of operating as 10PassTS-R\n\n The desired mode of operation is determined by\n efmCuPmeAdminSubType, while efmCuPmeOperSubType reflects the\n current operating mode.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object combines the 10PASS-TS capable and 2BASE-TL capable\n bits in the 10P/2B PMA/PMD speed ability register and the\n CO supported and CPE supported bits in the 10P/2B PMA/PMD\n status register.')
efmCuPmeStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 3), )
if mibBuilder.loadTexts: efmCuPmeStatusTable.setDescription('This table provides common status information of EFMCu\n 2BASE-TL/10PASS-TS PME ports. Status information specific\n to 10PASS-TS PME is represented in efmCuPme10PStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPmeStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPmeStatusEntry.setDescription('An entry in the EFMCu PME Status table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efmCuPmeOperStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("up", 1), ("downNotReady", 2), ("downReady", 3), ("init", 4),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperStatus.setDescription("Current PME link Operational Status. Possible values are:\n up(1) - The link is Up and ready to pass\n 64/65-octet encoded frames or fragments.\n downNotReady(2) - The link is Down and the PME does not\n detect Handshake tones from its peer.\n This value may indicate a possible\n problem with the peer PME.\n downReady(3) - The link is Down and the PME detects\n Handshake tones from its peer.\n init(4) - The link is Initializing, as a result of\n ifAdminStatus being set to 'up' for a\n particular PME or a PCS to which the PME\n is connected.\n\n This object is intended to supplement the Down(2) state of\n ifOperStatus.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to PMA/PMD link status bits in 10P/2B\n PMA/PMD status register.")
efmCuPmeFltStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 2), Bits().clone(namedValues=NamedValues(("lossOfFraming", 0), ("snrMgnDefect", 1), ("lineAtnDefect", 2), ("deviceFault", 3), ("configInitFailure", 4), ("protocolInitFailure", 5),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeFltStatus.setDescription('Current/Last PME link Fault Status. This is a bitmap of\n possible conditions. The various bit positions are:\n\n lossOfFraming - Loss of Framing for 10P or\n Loss of Sync word for 2B PMD or\n Loss of 64/65-octet framing.\n\n\n\n snrMgnDefect - SNR margin dropped below the\n threshold.\n lineAtnDefect - Line Attenuation exceeds the\n threshold.\n deviceFault - Indicates a vendor-dependent\n diagnostic or self-test fault\n has been detected.\n configInitFailure - Configuration initialization failure,\n due to inability of the PME link to\n support the configuration profile,\n requested during initialization.\n protocolInitFailure - Protocol initialization failure, due\n to an incompatible protocol used by\n the peer PME during init (that could\n happen if a peer PMD is a regular\n G.SDHSL/VDSL modem instead of a\n 2BASE-TL/10PASS-TS PME).\n\n This object is intended to supplement ifOperStatus in IF-MIB.\n\n This object holds information about the last fault.\n efmCuPmeFltStatus is cleared by the device restart.\n In addition, lossOfFraming, configInitFailure, and\n protocolInitFailure are cleared by PME init;\n deviceFault is cleared by successful diagnostics/test;\n snrMgnDefect and lineAtnDefect are cleared by SNR margin\n and Line attenuation, respectively, returning to norm and by\n PME init.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object consolidates information from various PMA/PMD\n registers, namely: Fault bit in PMA/PMD status 1 register,\n 10P/2B PMA/PMD link loss register,\n 10P outgoing indicator bits status register,\n 10P incoming indicator bits status register,\n 2B state defects register.')
efmCuPmeOperSubType = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("ieee2BaseTLO", 1), ("ieee2BaseTLR", 2), ("ieee10PassTSO", 3), ("ieee10PassTSR", 4),))).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperSubType.setDescription('Current operational subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME operates as 2BaseTL-O\n ieee2BaseTLR - PME operates as 2BaseTL-R\n ieee10PassTSO - PME operates as 10PassTS-O\n ieee10PassTSR - PME operates as 10PassTS-R\n\n The desired operational subtype of the PME can be configured\n via the efmCuPmeAdminSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select\n bits, the PMA/PMD type selection bits in the 10P/2B\n PMA/PMD control register, and the PMA/PMD link status bits in\n the 10P/2B PMA/PMD status register.')
efmCuPmeOperProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 4), EfmProfileIndexOrZero()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeOperProfile.setDescription('PME current operating profile. This object is a pointer to\n an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME as indicated by efmCuPmeOperSubType.\n Note that a profile entry to which efmCuPmeOperProfile is\n pointing can be created automatically to reflect achieved\n parameters in adaptive (not fixed) initialization,\n i.e., values of efmCuPmeOperProfile and efmCuAdminProfile or\n efmCuPmeAdminProfile may differ.\n The value of zero indicates that the PME is Down or\n Initializing.\n\n This object partially maps to the aOperatingProfile attribute\n in Clause 30.')
efmCuPmeSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeSnrMgn.setDescription('The current Signal to Noise Ratio (SNR) margin with respect\n to the received signal as perceived by the local PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object maps to the aPMESNRMgn attribute in Clause 30.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B RX SNR margin register.')
efmCuPmePeerSnrMgn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmePeerSnrMgn.setDescription('The current SNR margin in dB with respect to the received\n signal, as perceived by the remote (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B link partner RX SNR margin\n register.')
efmCuPmeLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeLineAtn.setDescription('The current Line Attenuation in dB as perceived by the local\n PME.\n\n\n\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the Line Attenuation register.')
efmCuPmePeerLineAtn = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(-127,128),ValueRangeConstraint(65535,65535),))).setUnits('dB').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmePeerLineAtn.setDescription('The current Line Attenuation in dB as perceived by the remote\n (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 20P/2B link partner Line Attenuation\n register.')
efmCuPmeEquivalentLength = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 9), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,8192),ValueRangeConstraint(65535,65535),))).setUnits('m').setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeEquivalentLength.setDescription("An estimate of the equivalent loop's physical length in\n meters, as perceived by the PME after the link is established.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n bridged taps.\n The value of 65535 is returned if the link is Down or\n Initializing or the PME is unable to estimate the equivalent\n length.\n\n For a 10BASE-TL PME, if a Clause 45 MDIO Interface to the PME\n is present, then this object maps to the 10P Electrical Length\n register.")
efmCuPmeTCCodingErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeTCCodingErrors.setDescription('The number of 64/65-octet encapsulation errors. This counter\n is incremented for each 64/65-octet encapsulation error\n detected by the 64/65-octet receive function.\n\n This object maps to aTCCodingViolations attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC coding violations register\n (see 45.2.6.12).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPmeTCCrcErrors = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPmeTCCrcErrors.setDescription('The number of TC-CRC errors. This counter is incremented for\n each TC-CRC error detected by the 64/65-octet receive function\n (see 61.3.3.3 and Figure 61-19).\n\n This object maps to aTCCRCErrors attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC CRC error register\n (see 45.2.6.11).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPme2B = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 5))
efmCuPme2BProfileTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2), )
if mibBuilder.loadTexts: efmCuPme2BProfileTable.setDescription('This table supports definitions of administrative and\n operating profiles for 2BASE-TL PMEs.\n The first 14 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 63A):\n -------+-------+-------+-----+------+-------------+-----------\n Profile MinRate MaxRate Power Region Constellation Comment\n index (Kbps) (Kbps) (dBm)\n -------+-------+-------+-----+------+-------------+-----------\n 1 5696 5696 13.5 1 32-TCPAM default\n 2 3072 3072 13.5 1 32-TCPAM\n 3 2048 2048 13.5 1 16-TCPAM\n 4 1024 1024 13.5 1 16-TCPAM\n 5 704 704 13.5 1 16-TCPAM\n 6 512 512 13.5 1 16-TCPAM\n 7 5696 5696 14.5 2 32-TCPAM\n 8 3072 3072 14.5 2 32-TCPAM\n 9 2048 2048 14.5 2 16-TCPAM\n 10 1024 1024 13.5 2 16-TCPAM\n 11 704 704 13.5 2 16-TCPAM\n 12 512 512 13.5 2 16-TCPAM\n 13 192 5696 0 1 0 best effort\n 14 192 5696 0 2 0 best effort\n -------+-------+-------+-----+------+-------------+-----------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 14 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BProfileEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BProfileIndex"))
if mibBuilder.loadTexts: efmCuPme2BProfileEntry.setDescription("Each entry corresponds to a single 2BASE-TL PME profile.\n Each profile contains a set of parameters, used either for\n configuration or representation of a 2BASE-TL PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 2BaseTL-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of an\n operational PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BProfileRowStatus. If an\n active entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efmCuPme2BProfileIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BProfileIndex.setDescription('2BASE-TL PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile objects.')
efmCuPme2BProfileDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BProfileDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n profile. The string may include information about the data\n rate and spectral limitations of this particular profile.')
efmCuPme2BRegion = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("region1", 1), ("region2", 2),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BRegion.setDescription('Regional settings for a 2BASE-TL PME, as specified in the\n relevant Regional Annex of [G.991.2].\n Regional settings specify the Power Spectral Density (PSD)\n mask and the Power Back-Off (PBO) values, and place\n limitations on the max allowed data rate, power, and\n constellation.\n\n Possible values for this object are:\n region1 - Annexes A and F (e.g., North America)\n region2 - Annexes B and G (e.g., Europe)\n\n Annex A/B specify regional settings for data rates 192-2304\n Kbps using 16-TCPAM encoding.\n Annex F/G specify regional settings for rates 2320-3840 Kbps\n using 16-TCPAM encoding and 768-5696 Kbps using 32-TCPAM\n encoding.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to the Region bits in the 2B general\n parameter register.')
efmCuPme2BsMode = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 4), EfmProfileIndexOrZero()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsMode.setDescription('Desired custom Spectral Mode for a 2BASE-TL PME. This object\n\n\n\n is a pointer to an entry in efmCuPme2BsModeTable and a block\n of entries in efmCuPme2BRateReachTable, which together define\n (country-specific) reach-dependent rate limitations in\n addition to those defined by efmCuPme2BRegion.\n\n The value of this object is the index of the referenced\n spectral mode.\n The value of zero (default) indicates that no specific\n spectral mode is applicable.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding spectral\n mode table MUST be rejected.')
efmCuPme2BMinDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(192,5696))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMinDataRate.setDescription("Minimum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMaxDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Min Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPme2BMaxDataRate = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(192,5696))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRate.setDescription("Maximum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMinDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Max Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efmCuPme2BPower = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 7), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(10,42),))).setUnits('0.5 dBm').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BPower.setDescription('Signal Transmit Power. Multiple of 0.5 dBm.\n The value of 0 in the administrative profile means that the\n signal transmit power is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Power1 bits in the 2B PMD parameters\n register.')
efmCuPme2BConstellation = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2,))).clone(namedValues=NamedValues(("adaptive", 0), ("tcpam16", 1), ("tcpam32", 2),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BConstellation.setDescription('TCPAM Constellation of the 2BASE-TL PME.\n The possible values are:\n adaptive(0) - either 16- or 32-TCPAM\n tcpam16(1) - 16-TCPAM\n tcpam32(2) - 32-TCPAM\n\n The value of adaptive(0) in the administrative profile means\n that the constellation is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Constellation1 bits in the 2B general\n parameter register.')
efmCuPme2BProfileRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 9), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BProfileRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BProfileTable per the\n semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile instance(s), the entry MUST remain\n 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme2BsModeTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3), )
if mibBuilder.loadTexts: efmCuPme2BsModeTable.setDescription('This table, together with efmCu2BReachRateTable, supports\n definition of administrative custom spectral modes for\n 2BASE-TL PMEs, describing spectral limitations in addition to\n those specified by efmCuPme2BRegion.\n\n In some countries, spectral regulations (e.g., UK ANFP) limit\n the length of the loops for certain data rates. This table\n allows these country-specific limitations to be specified.\n\n Entries in this table referenced by the efmCuPme2BsMode\n MUST NOT be deleted until all the active references are\n removed.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BsModeEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BsModeIndex"))
if mibBuilder.loadTexts: efmCuPme2BsModeEntry.setDescription('Each entry specifies a spectral mode description and its\n index, which is used to reference corresponding entries in the\n efmCu2BReachRateTable.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BsModeRowStatus.')
efmCuPme2BsModeIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BsModeIndex.setDescription('2BASE-TL PME Spectral Mode index.\n This object is the unique index associated with this spectral\n mode.\n Entries in this table are referenced via the efmCuPme2BsMode\n object.')
efmCuPme2BsModeDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsModeDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n spectral mode. The string may include information about\n corresponding (country-specific) spectral regulations\n and rate/reach limitations of this particular spectral mode.')
efmCuPme2BsModeRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 3), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BsModeRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme2BsModeTable per the semantics\n of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme2BReachRateTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4), )
if mibBuilder.loadTexts: efmCuPme2BReachRateTable.setDescription('This table supports the definition of administrative custom\n spectral modes for 2BASE-TL PMEs, providing spectral\n limitations in addition to those specified by\n efmCuPme2BRegion.\n\n\n\n\n The spectral regulations in some countries (e.g., UK ANFP)\n limit the length of the loops for certain data rates.\n This table allows these country-specific limitations to be\n specified.\n\n Below is an example of this table for [ANFP]:\n ----------+-------+-------\n Equivalent MaxRate MaxRate\n Length PAM16 PAM32\n (m) (Kbps) (Kbps)\n ----------+-------+-------\n 975 2304 5696\n 1125 2304 5504\n 1275 2304 5120\n 1350 2304 4864\n 1425 2304 4544\n 1500 2304 4288\n 1575 2304 3968\n 1650 2304 3776\n 1725 2304 3520\n 1800 2304 3264\n 1875 2304 3072\n 1950 2048 2688\n 2100 1792 2368\n 2250 1536 0\n 2400 1408 0\n 2550 1280 0\n 2775 1152 0\n 2925 1152 0\n 3150 1088 0\n 3375 1024 0\n ----------+-------+-------\n\n Entries in this table referenced by an efmCuPme2BsMode\n instance MUST NOT be deleted.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme2BReachRateEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme2BsModeIndex"), (0, "EFM-CU-MIB", "efmCuPme2BReachRateIndex"))
if mibBuilder.loadTexts: efmCuPme2BReachRateEntry.setDescription('Each entry specifies maximum 2BASE-TL PME data rates\n allowed for a certain equivalent loop length, when using\n\n\n\n 16-TCPAM or 32-TCPAM encoding.\n\n When a 2BASE-TL PME is initialized, its data rate MUST NOT\n exceed one of the following limitations:\n - the value of efmCuPme2BMaxDataRate\n - maximum data rate allowed by efmCuPme2BRegion and\n efmCuPme2BPower\n - maximum data rate for a given encoding specified in the\n efmCuPme2BsModeEntry, corresponding to the equivalent loop\n length, estimated by the PME\n\n It is RECOMMENDED that the efmCuPme2BEquivalentLength values\n are assigned in increasing order, starting from the minimum\n value.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2ReachRateRowStatus.')
efmCuPme2BReachRateIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme2BReachRateIndex.setDescription('2BASE-TL custom spectral mode Reach-Rate table index.\n This object is the unique index associated with each entry.')
efmCuPme2BEquivalentLength = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0,8192))).setUnits('m').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BEquivalentLength.setDescription("Maximum allowed equivalent loop's physical length in meters\n for the specified data rates.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n\n\n\n bridged taps.")
efmCuPme2BMaxDataRatePam16 = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 3), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(192,5696),))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRatePam16.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM16 encoding.\n The value of zero means that TC-PAM16 encoding should not be\n used at this distance.")
efmCuPme2BMaxDataRatePam32 = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0,0),ValueRangeConstraint(192,5696),))).setUnits('Kbps').setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BMaxDataRatePam32.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM32 encoding.\n The value of zero means that TC-PAM32 encoding should not be\n used at this distance.")
efmCuPme2BReachRateRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme2BReachRateRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BReachRateTable per\n the semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme10P = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 6))
efmCuPme10PProfileTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1), )
if mibBuilder.loadTexts: efmCuPme10PProfileTable.setDescription('This table supports definitions of configuration profiles for\n 10PASS-TS PMEs.\n The first 22 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 62B.3, table 62B-1):\n -------+--------+----+---------+-----+-----+---------------\n Profile Bandplan UPBO BandNotch DRate URate Comment\n Index PSDMask# p# p# p# p#\n -------+--------+----+---------+-----+-----+---------------\n 1 1 3 2,6,10,11 20 20 default profile\n 2 13 5 0 20 20\n 3 1 1 0 20 20\n 4 16 0 0 100 100\n 5 16 0 0 70 50\n 6 6 0 0 50 10\n 7 17 0 0 30 30\n 8 8 0 0 30 5\n 9 4 0 0 25 25\n 10 4 0 0 15 15\n 11 23 0 0 10 10\n 12 23 0 0 5 5\n 13 16 0 2,5,9,11 100 100\n 14 16 0 2,5,9,11 70 50\n 15 6 0 2,6,10,11 50 10\n 16 17 0 2,5,9,11 30 30\n 17 8 0 2,6,10,11 30 5\n 18 4 0 2,6,10,11 25 25\n 19 4 0 2,6,10,11 15 15\n 20 23 0 2,5,9,11 10 10\n 21 23 0 2,5,9,11 5 5\n 22 30 0 0 200 50\n -------+--------+----+---------+-----+-----+---------------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 22 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efmCuPme10PProfileEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1), ).setIndexNames((0, "EFM-CU-MIB", "efmCuPme10PProfileIndex"))
if mibBuilder.loadTexts: efmCuPme10PProfileEntry.setDescription("Each entry corresponds to a single 10PASS-TS PME profile.\n\n Each profile contains a set of parameters, used either for\n configuration or representation of a 10PASS-TS PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 10PassTS-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of the PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme10PProfileRowStatus. If an\n 'active' entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efmCuPme10PProfileIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 1), EfmProfileIndex())
if mibBuilder.loadTexts: efmCuPme10PProfileIndex.setDescription('10PASS-TS PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile.')
efmCuPme10PProfileDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 2), SnmpAdminString()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PProfileDescr.setDescription('A textual string containing information about a 10PASS-TS PME\n profile. The string may include information about data rate\n and spectral limitations of this particular profile.')
efmCuPme10PBandplanPSDMskProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,))).clone(namedValues=NamedValues(("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9), ("profile10", 10), ("profile11", 11), ("profile12", 12), ("profile13", 13), ("profile14", 14), ("profile15", 15), ("profile16", 16), ("profile17", 17), ("profile18", 18), ("profile19", 19), ("profile20", 20), ("profile21", 21), ("profile22", 22), ("profile23", 23), ("profile24", 24), ("profile25", 25), ("profile26", 26), ("profile27", 27), ("profile28", 28), ("profile29", 29), ("profile30", 30),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PBandplanPSDMskProfile.setDescription('The 10PASS-TS PME Bandplan and PSD Mask Profile, as specified\n in 802.3ah Annex 62A, table 62A-1. Possible values are:\n --------------+------------------------+------------+--------\n Profile Name PSD Mask Bands G.993.1\n 0/1/2/3/4/5 Bandplan\n --------------+------------------------+------------+--------\n profile1(1) T1.424 FTTCab.M1 x/D/U/D/U A\n profile2(2) T1.424 FTTEx.M1 x/D/U/D/U A\n profile3(3) T1.424 FTTCab.M2 x/D/U/D/U A\n profile4(4) T1.424 FTTEx.M2 x/D/U/D/U A\n profile5(5) T1.424 FTTCab.M1 D/D/U/D/U A\n profile6(6) T1.424 FTTEx.M1 D/D/U/D/U A\n profile7(7) T1.424 FTTCab.M2 D/D/U/D/U A\n profile8(8) T1.424 FTTEx.M2 D/D/U/D/U A\n profile9(9) T1.424 FTTCab.M1 U/D/U/D/x A\n profile10(10) T1.424 FTTEx.M1 U/D/U/D/x A\n profile11(11) T1.424 FTTCab.M2 U/D/U/D/x A\n profile12(12) T1.424 FTTEx.M2 U/D/U/D/x A\n profile13(13) TS 101 270-1 Pcab.M1.A x/D/U/D/U B\n profile14(14) TS 101 270-1 Pcab.M1.B x/D/U/D/U B\n profile15(15) TS 101 270-1 Pex.P1.M1 x/D/U/D/U B\n profile16(16) TS 101 270-1 Pex.P2.M1 x/D/U/D/U B\n profile17(17) TS 101 270-1 Pcab.M2 x/D/U/D/U B\n profile18(18) TS 101 270-1 Pex.P1.M2 x/D/U/D/U B\n profile19(19) TS 101 270-1 Pex.P2.M2 x/D/U/D/U B\n profile20(20) TS 101 270-1 Pcab.M1.A U/D/U/D/x B\n profile21(21) TS 101 270-1 Pcab.M1.B U/D/U/D/x B\n profile22(22) TS 101 270-1 Pex.P1.M1 U/D/U/D/x B\n profile23(23) TS 101 270-1 Pex.P2.M1 U/D/U/D/x B\n profile24(24) TS 101 270-1 Pcab.M2 U/D/U/D/x B\n profile25(25) TS 101 270-1 Pex.P1.M2 U/D/U/D/x B\n profile26(26) TS 101 270-1 Pex.P2.M2 U/D/U/D/x B\n profile27(27) G.993.1 F.1.2.1 x/D/U/D/U Annex F\n profile28(28) G.993.1 F.1.2.2 x/D/U/D/U Annex F\n profile29(29) G.993.1 F.1.2.3 x/D/U/D/U Annex F\n profile30(30) T1.424 FTTCab.M1 (ext.) x/D/U/D/U/D Annex A\n --------------+------------------------+------------+--------\n ')
efmCuPme10PUPBOReferenceProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9,))).clone(namedValues=NamedValues(("profile0", 0), ("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PUPBOReferenceProfile.setDescription('The 10PASS-TS PME Upstream Power Back-Off (UPBO) Reference\n PSD Profile, as specified in 802.3 Annex 62A, table 62A-3.\n Possible values are:\n ------------+-----------------------------\n Profile Name Reference PSD\n ------------+-----------------------------\n profile0(0) no profile\n profile1(1) T1.424 Noise A M1\n profile2(2) T1.424 Noise A M2\n profile3(3) T1.424 Noise F M1\n profile4(4) T1.424 Noise F M2\n profile5(5) TS 101 270-1 Noise A&B\n profile6(6) TS 101 270-1 Noise C\n profile7(7) TS 101 270-1 Noise D\n profile8(8) TS 101 270-1 Noise E\n profile9(9) TS 101 270-1 Noise F\n ------------+-----------------------------\n ')
efmCuPme10PBandNotchProfiles = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 5), Bits().clone(namedValues=NamedValues(("profile0", 0), ("profile1", 1), ("profile2", 2), ("profile3", 3), ("profile4", 4), ("profile5", 5), ("profile6", 6), ("profile7", 7), ("profile8", 8), ("profile9", 9), ("profile10", 10), ("profile11", 11),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PBandNotchProfiles.setDescription('The 10PASS-TS PME Egress Control Band Notch Profile bitmap,\n as specified in 802.3 Annex 62A, table 62A-4. Possible values\n are:\n --------------+--------+------+------------+------+------\n Profile Name G.991.3 T1.424 TS 101 270-1 StartF EndF\n table table table (MHz) (MHz)\n --------------+--------+------+------------+------+------\n profile0(0) no profile\n profile1(1) F-5 #01 - - 1.810 1.825\n profile2(2) 6-2 15-1 17 1.810 2.000\n profile3(3) F-5 #02 - - 1.907 1.912\n profile4(4) F-5 #03 - - 3.500 3.575\n profile5(5) 6-2 - 17 3.500 3.800\n profile6(6) - 15-1 - 3.500 4.000\n profile7(7) F-5 #04 - - 3.747 3.754\n profile8(8) F-5 #05 - - 3.791 3.805\n profile9(9) 6-2 - 17 7.000 7.100\n profile10(10) F-5 #06 15-1 - 7.000 7.300\n profile11(11) 6-2 15-1 1 10.100 10.150\n --------------+--------+------+------------+------+------\n\n Any combination of profiles can be specified by ORing\n individual profiles, for example, a value of 0x2230 selects\n profiles 2, 6, 10, and 11.')
efmCuPme10PPayloadDRateProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(5, 10, 15, 20, 25, 30, 50, 70, 100, 140, 200,))).clone(namedValues=NamedValues(("profile5", 5), ("profile10", 10), ("profile15", 15), ("profile20", 20), ("profile25", 25), ("profile30", 30), ("profile50", 50), ("profile70", 70), ("profile100", 100), ("profile140", 140), ("profile200", 200),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PPayloadDRateProfile.setDescription("The 10PASS-TS PME Downstream Payload Rate Profile, as\n\n\n\n specified in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n profile140(140) - 70 Mbps\n profile200(200) - 100 Mbps\n\n Each value represents a target for the PME's Downstream\n Payload Bitrate as seen at the MII. If the payload rate of\n the selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efmCuPme10PPayloadURateProfile = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(5, 10, 15, 20, 25, 30, 50, 70, 100,))).clone(namedValues=NamedValues(("profile5", 5), ("profile10", 10), ("profile15", 15), ("profile20", 20), ("profile25", 25), ("profile30", 30), ("profile50", 50), ("profile70", 70), ("profile100", 100),))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PPayloadURateProfile.setDescription("The 10PASS-TS PME Upstream Payload Rate Profile, as specified\n in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n\n\n\n Each value represents a target for the PME's Upstream Payload\n Bitrate as seen at the MII. If the payload rate of the\n selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efmCuPme10PProfileRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 8), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: efmCuPme10PProfileRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme10PProfileTable per the\n semantics of RowStatus.\n\n If an active entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile, the entry MUST remain 'active' until\n all references are removed.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efmCuPme10PStatusTable = MibTable((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2), )
if mibBuilder.loadTexts: efmCuPme10PStatusTable.setDescription('This table provides status information of EFMCu 10PASS-TS\n PMEs (modems).\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efmCuPme10PStatusEntry = MibTableRow((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: efmCuPme10PStatusEntry.setDescription('An entry in the EFMCu 10PASS-TS PME Status table.')
efmCuPme10PFECCorrectedBlocks = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPme10PFECCorrectedBlocks.setDescription('The number of received and corrected Forward Error Correction\n (FEC) codewords in this 10PASS-TS PME.\n\n This object maps to the aPMEFECCorrectedBlocks attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC correctable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuPme10PFECUncorrectedBlocks = MibTableColumn((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: efmCuPme10PFECUncorrectedBlocks.setDescription('The number of received uncorrectable FEC codewords in this\n 10PASS-TS PME.\n\n This object maps to the aPMEFECUncorrectableBlocks attribute\n in Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC uncorrectable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n\n\n\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efmCuGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2, 1))
efmCuCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 167, 2, 2))
efmCuBasicGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 1)).setObjects(*(("EFM-CU-MIB", "efmCuPAFSupported"), ("EFM-CU-MIB", "efmCuAdminProfile"), ("EFM-CU-MIB", "efmCuTargetDataRate"), ("EFM-CU-MIB", "efmCuTargetSnrMgn"), ("EFM-CU-MIB", "efmCuAdaptiveSpectra"), ("EFM-CU-MIB", "efmCuPortSide"), ("EFM-CU-MIB", "efmCuFltStatus"),))
if mibBuilder.loadTexts: efmCuBasicGroup.setDescription('A collection of objects representing management information\n common for all types of EFMCu ports.')
efmCuPAFGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 2)).setObjects(*(("EFM-CU-MIB", "efmCuPeerPAFSupported"), ("EFM-CU-MIB", "efmCuPAFCapacity"), ("EFM-CU-MIB", "efmCuPeerPAFCapacity"), ("EFM-CU-MIB", "efmCuPAFAdminState"), ("EFM-CU-MIB", "efmCuPAFDiscoveryCode"), ("EFM-CU-MIB", "efmCuPAFRemoteDiscoveryCode"), ("EFM-CU-MIB", "efmCuNumPMEs"),))
if mibBuilder.loadTexts: efmCuPAFGroup.setDescription('A collection of objects supporting OPTIONAL PME\n Aggregation Function (PAF) and PAF discovery in EFMCu ports.')
efmCuPAFErrorsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 3)).setObjects(*(("EFM-CU-MIB", "efmCuPAFInErrors"), ("EFM-CU-MIB", "efmCuPAFInSmallFragments"), ("EFM-CU-MIB", "efmCuPAFInLargeFragments"), ("EFM-CU-MIB", "efmCuPAFInBadFragments"), ("EFM-CU-MIB", "efmCuPAFInLostFragments"), ("EFM-CU-MIB", "efmCuPAFInLostStarts"), ("EFM-CU-MIB", "efmCuPAFInLostEnds"), ("EFM-CU-MIB", "efmCuPAFInOverflows"),))
if mibBuilder.loadTexts: efmCuPAFErrorsGroup.setDescription('A collection of objects supporting OPTIONAL error counters\n of PAF on EFMCu ports.')
efmCuPmeGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 4)).setObjects(*(("EFM-CU-MIB", "efmCuPmeAdminProfile"), ("EFM-CU-MIB", "efmCuPmeOperStatus"), ("EFM-CU-MIB", "efmCuPmeFltStatus"), ("EFM-CU-MIB", "efmCuPmeSubTypesSupported"), ("EFM-CU-MIB", "efmCuPmeAdminSubType"), ("EFM-CU-MIB", "efmCuPmeOperSubType"), ("EFM-CU-MIB", "efmCuPAFRemoteDiscoveryCode"), ("EFM-CU-MIB", "efmCuPmeOperProfile"), ("EFM-CU-MIB", "efmCuPmeSnrMgn"), ("EFM-CU-MIB", "efmCuPmePeerSnrMgn"), ("EFM-CU-MIB", "efmCuPmeLineAtn"), ("EFM-CU-MIB", "efmCuPmePeerLineAtn"), ("EFM-CU-MIB", "efmCuPmeEquivalentLength"), ("EFM-CU-MIB", "efmCuPmeTCCodingErrors"), ("EFM-CU-MIB", "efmCuPmeTCCrcErrors"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"),))
if mibBuilder.loadTexts: efmCuPmeGroup.setDescription('A collection of objects providing information about\n a 2BASE-TL/10PASS-TS PME.')
efmCuAlarmConfGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 5)).setObjects(*(("EFM-CU-MIB", "efmCuThreshLowRate"), ("EFM-CU-MIB", "efmCuLowRateCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeThreshLineAtn"), ("EFM-CU-MIB", "efmCuPmeLineAtnCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeThreshSnrMgn"), ("EFM-CU-MIB", "efmCuPmeSnrMgnCrossingEnable"), ("EFM-CU-MIB", "efmCuPmeDeviceFaultEnable"), ("EFM-CU-MIB", "efmCuPmeConfigInitFailEnable"), ("EFM-CU-MIB", "efmCuPmeProtocolInitFailEnable"),))
if mibBuilder.loadTexts: efmCuAlarmConfGroup.setDescription('A collection of objects supporting configuration of alarm\n thresholds and notifications in EFMCu ports.')
efmCuNotificationGroup = NotificationGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 6)).setObjects(*(("EFM-CU-MIB", "efmCuLowRateCrossing"), ("EFM-CU-MIB", "efmCuPmeLineAtnCrossing"), ("EFM-CU-MIB", "efmCuPmeSnrMgnCrossing"), ("EFM-CU-MIB", "efmCuPmeDeviceFault"), ("EFM-CU-MIB", "efmCuPmeConfigInitFailure"), ("EFM-CU-MIB", "efmCuPmeProtocolInitFailure"),))
if mibBuilder.loadTexts: efmCuNotificationGroup.setDescription('This group supports notifications of significant conditions\n associated with EFMCu ports.')
efmCuPme2BProfileGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 7)).setObjects(*(("EFM-CU-MIB", "efmCuPme2BProfileDescr"), ("EFM-CU-MIB", "efmCuPme2BRegion"), ("EFM-CU-MIB", "efmCuPme2BsMode"), ("EFM-CU-MIB", "efmCuPme2BMinDataRate"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRate"), ("EFM-CU-MIB", "efmCuPme2BPower"), ("EFM-CU-MIB", "efmCuPme2BConstellation"), ("EFM-CU-MIB", "efmCuPme2BProfileRowStatus"), ("EFM-CU-MIB", "efmCuPme2BsModeDescr"), ("EFM-CU-MIB", "efmCuPme2BsModeRowStatus"), ("EFM-CU-MIB", "efmCuPme2BEquivalentLength"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRatePam16"), ("EFM-CU-MIB", "efmCuPme2BMaxDataRatePam32"), ("EFM-CU-MIB", "efmCuPme2BReachRateRowStatus"),))
if mibBuilder.loadTexts: efmCuPme2BProfileGroup.setDescription('A collection of objects that constitute a configuration\n\n\n\n profile for configuration of 2BASE-TL ports.')
efmCuPme10PProfileGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 8)).setObjects(*(("EFM-CU-MIB", "efmCuPme10PProfileDescr"), ("EFM-CU-MIB", "efmCuPme10PBandplanPSDMskProfile"), ("EFM-CU-MIB", "efmCuPme10PUPBOReferenceProfile"), ("EFM-CU-MIB", "efmCuPme10PBandNotchProfiles"), ("EFM-CU-MIB", "efmCuPme10PPayloadDRateProfile"), ("EFM-CU-MIB", "efmCuPme10PPayloadURateProfile"), ("EFM-CU-MIB", "efmCuPme10PProfileRowStatus"),))
if mibBuilder.loadTexts: efmCuPme10PProfileGroup.setDescription('A collection of objects that constitute a configuration\n profile for configuration of 10PASS-TS ports.')
efmCuPme10PStatusGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 167, 2, 1, 9)).setObjects(*(("EFM-CU-MIB", "efmCuPme10PFECCorrectedBlocks"), ("EFM-CU-MIB", "efmCuPme10PFECUncorrectedBlocks"),))
if mibBuilder.loadTexts: efmCuPme10PStatusGroup.setDescription('A collection of objects providing status information\n specific to 10PASS-TS PMEs.')
efmCuCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 167, 2, 2, 1)).setObjects(*(("EFM-CU-MIB", "efmCuBasicGroup"), ("EFM-CU-MIB", "efmCuPmeGroup"), ("EFM-CU-MIB", "efmCuAlarmConfGroup"), ("EFM-CU-MIB", "efmCuNotificationGroup"), ("EFM-CU-MIB", "efmCuPme2BProfileGroup"), ("EFM-CU-MIB", "efmCuPme10PProfileGroup"), ("EFM-CU-MIB", "efmCuPAFGroup"), ("EFM-CU-MIB", "efmCuPAFErrorsGroup"), ("EFM-CU-MIB", "efmCuPme10PStatusGroup"),))
if mibBuilder.loadTexts: efmCuCompliance.setDescription('The compliance statement for 2BASE-TL/10PASS-TS interfaces.\n Compliance with the following external compliance statements\n is REQUIRED:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-MIB ifCompliance3\n EtherLike-MIB dot3Compliance2\n MAU-MIB mauModIfCompl3\n\n Compliance with the following external compliance statements\n is OPTIONAL for implementations supporting PME Aggregation\n Function (PAF) with flexible cross-connect between the PCS\n\n\n\n and PME ports:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-INVERTED-STACK-MIB ifInvCompliance\n IF-CAP-STACK-MIB ifCapStackCompliance')
mibBuilder.exportSymbols("EFM-CU-MIB", efmCuPmeEquivalentLength=efmCuPmeEquivalentLength, efmCuPme2BMinDataRate=efmCuPme2BMinDataRate, efmCuLowRateCrossing=efmCuLowRateCrossing, efmCuPme2BMaxDataRatePam16=efmCuPme2BMaxDataRatePam16, efmCuAdminProfile=efmCuAdminProfile, efmCuPme10PProfileRowStatus=efmCuPme10PProfileRowStatus, efmCuPortCapabilityTable=efmCuPortCapabilityTable, efmCuPmeCapabilityTable=efmCuPmeCapabilityTable, efmCuPortSide=efmCuPortSide, efmCuPmeOperSubType=efmCuPmeOperSubType, efmCuPmeSnrMgnCrossingEnable=efmCuPmeSnrMgnCrossingEnable, efmCuPmeSnrMgnCrossing=efmCuPmeSnrMgnCrossing, efmCuPme10PBandplanPSDMskProfile=efmCuPme10PBandplanPSDMskProfile, PYSNMP_MODULE_ID=efmCuMIB, efmCuPme10PFECCorrectedBlocks=efmCuPme10PFECCorrectedBlocks, efmCuPAFInBadFragments=efmCuPAFInBadFragments, efmCuThreshLowRate=efmCuThreshLowRate, efmCuPme10PStatusTable=efmCuPme10PStatusTable, efmCuGroups=efmCuGroups, efmCuPAFErrorsGroup=efmCuPAFErrorsGroup, efmCuPme2BReachRateRowStatus=efmCuPme2BReachRateRowStatus, efmCuPme10PStatusGroup=efmCuPme10PStatusGroup, efmCuPortStatusTable=efmCuPortStatusTable, efmCuPme10PPayloadURateProfile=efmCuPme10PPayloadURateProfile, EfmProfileIndex=EfmProfileIndex, efmCuPmeSnrMgn=efmCuPmeSnrMgn, efmCuPAFDiscoveryCode=efmCuPAFDiscoveryCode, efmCuTargetDataRate=efmCuTargetDataRate, efmCuPme10P=efmCuPme10P, efmCuPmeLineAtnCrossing=efmCuPmeLineAtnCrossing, efmCuPmeConfEntry=efmCuPmeConfEntry, efmCuPme2BsModeTable=efmCuPme2BsModeTable, efmCuPmeStatusEntry=efmCuPmeStatusEntry, efmCuPortNotifications=efmCuPortNotifications, efmCuCompliance=efmCuCompliance, efmCuPme10PProfileIndex=efmCuPme10PProfileIndex, efmCuPAFAdminState=efmCuPAFAdminState, efmCuPme10PPayloadDRateProfile=efmCuPme10PPayloadDRateProfile, efmCuNotificationGroup=efmCuNotificationGroup, efmCuPme2BProfileDescr=efmCuPme2BProfileDescr, efmCuPmeProtocolInitFailure=efmCuPmeProtocolInitFailure, efmCuObjects=efmCuObjects, efmCuPAFSupported=efmCuPAFSupported, efmCuBasicGroup=efmCuBasicGroup, efmCuPme2BsModeDescr=efmCuPme2BsModeDescr, efmCuPmeConfigInitFailEnable=efmCuPmeConfigInitFailEnable, efmCuPme2BPower=efmCuPme2BPower, efmCuPmeDeviceFaultEnable=efmCuPmeDeviceFaultEnable, efmCuPmeGroup=efmCuPmeGroup, efmCuAdaptiveSpectra=efmCuAdaptiveSpectra, efmCuPmeAdminSubType=efmCuPmeAdminSubType, efmCuPeerPAFSupported=efmCuPeerPAFSupported, efmCuCompliances=efmCuCompliances, efmCuPAFInOverflows=efmCuPAFInOverflows, efmCuPAFGroup=efmCuPAFGroup, efmCuPme2BProfileRowStatus=efmCuPme2BProfileRowStatus, efmCuPmeSubTypesSupported=efmCuPmeSubTypesSupported, efmCuMIB=efmCuMIB, efmCuPme2BProfileGroup=efmCuPme2BProfileGroup, efmCuPme2BMaxDataRatePam32=efmCuPme2BMaxDataRatePam32, efmCuPme=efmCuPme, efmCuPme2BProfileIndex=efmCuPme2BProfileIndex, efmCuPAFInSmallFragments=efmCuPAFInSmallFragments, efmCuPmeLineAtn=efmCuPmeLineAtn, EfmProfileIndexOrZero=EfmProfileIndexOrZero, efmCuPortStatusEntry=efmCuPortStatusEntry, efmCuPmeAdminProfile=efmCuPmeAdminProfile, efmCuPeerPAFCapacity=efmCuPeerPAFCapacity, efmCuConformance=efmCuConformance, efmCuPAFCapacity=efmCuPAFCapacity, efmCuPme2BEquivalentLength=efmCuPme2BEquivalentLength, efmCuPme2BProfileTable=efmCuPme2BProfileTable, efmCuTargetSnrMgn=efmCuTargetSnrMgn, efmCuPme2BReachRateEntry=efmCuPme2BReachRateEntry, efmCuPme10PUPBOReferenceProfile=efmCuPme10PUPBOReferenceProfile, efmCuPme2BConstellation=efmCuPme2BConstellation, efmCuPme10PProfileEntry=efmCuPme10PProfileEntry, efmCuPme2BMaxDataRate=efmCuPme2BMaxDataRate, efmCuAlarmConfGroup=efmCuAlarmConfGroup, efmCuPortCapabilityEntry=efmCuPortCapabilityEntry, efmCuLowRateCrossingEnable=efmCuLowRateCrossingEnable, efmCuPme10PBandNotchProfiles=efmCuPme10PBandNotchProfiles, EfmTruthValueOrUnknown=EfmTruthValueOrUnknown, efmCuPme2BsModeRowStatus=efmCuPme2BsModeRowStatus, efmCuPAFInLostStarts=efmCuPAFInLostStarts, efmCuPmeProtocolInitFailEnable=efmCuPmeProtocolInitFailEnable, efmCuPmeCapabilityEntry=efmCuPmeCapabilityEntry, efmCuPme2BReachRateIndex=efmCuPme2BReachRateIndex, efmCuPmeConfigInitFailure=efmCuPmeConfigInitFailure, efmCuPort=efmCuPort, efmCuNumPMEs=efmCuNumPMEs, efmCuPmeNotifications=efmCuPmeNotifications, efmCuPmePeerLineAtn=efmCuPmePeerLineAtn, efmCuPme2B=efmCuPme2B, efmCuPmeDeviceFault=efmCuPmeDeviceFault, efmCuPmeLineAtnCrossingEnable=efmCuPmeLineAtnCrossingEnable, efmCuPmeOperStatus=efmCuPmeOperStatus, efmCuPme10PFECUncorrectedBlocks=efmCuPme10PFECUncorrectedBlocks, efmCuPme2BProfileEntry=efmCuPme2BProfileEntry, efmCuPme10PProfileGroup=efmCuPme10PProfileGroup, efmCuPmeThreshSnrMgn=efmCuPmeThreshSnrMgn, efmCuFltStatus=efmCuFltStatus, efmCuPme2BsMode=efmCuPme2BsMode, efmCuPme2BRegion=efmCuPme2BRegion, efmCuPme10PStatusEntry=efmCuPme10PStatusEntry, efmCuPAFInErrors=efmCuPAFInErrors, efmCuPAFInLargeFragments=efmCuPAFInLargeFragments, efmCuPAFInLostFragments=efmCuPAFInLostFragments, efmCuPAFRemoteDiscoveryCode=efmCuPAFRemoteDiscoveryCode, efmCuPmeConfTable=efmCuPmeConfTable, efmCuPme2BReachRateTable=efmCuPme2BReachRateTable, efmCuPmeThreshLineAtn=efmCuPmeThreshLineAtn, efmCuPmeStatusTable=efmCuPmeStatusTable, efmCuPortConfEntry=efmCuPortConfEntry, efmCuPmeFltStatus=efmCuPmeFltStatus, efmCuPme2BsModeIndex=efmCuPme2BsModeIndex, efmCuPmePeerSnrMgn=efmCuPmePeerSnrMgn, efmCuPmeTCCrcErrors=efmCuPmeTCCrcErrors, efmCuPAFInLostEnds=efmCuPAFInLostEnds, EfmProfileIndexList=EfmProfileIndexList, efmCuPmeOperProfile=efmCuPmeOperProfile, efmCuPme10PProfileDescr=efmCuPme10PProfileDescr, efmCuPortConfTable=efmCuPortConfTable, efmCuPme10PProfileTable=efmCuPme10PProfileTable, efmCuPme2BsModeEntry=efmCuPme2BsModeEntry, efmCuPmeTCCodingErrors=efmCuPmeTCCodingErrors)
| (octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, constraints_intersection, single_value_constraint, value_size_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ConstraintsIntersection', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint')
(if_index, if_speed) = mibBuilder.importSymbols('IF-MIB', 'ifIndex', 'ifSpeed')
(snmp_admin_string,) = mibBuilder.importSymbols('SNMP-FRAMEWORK-MIB', 'SnmpAdminString')
(object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance')
(bits, mib_identifier, mib_scalar, mib_table, mib_table_row, mib_table_column, module_identity, mib_2, ip_address, integer32, notification_type, unsigned32, object_identity, counter64, time_ticks, gauge32, iso, counter32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'MibIdentifier', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ModuleIdentity', 'mib-2', 'IpAddress', 'Integer32', 'NotificationType', 'Unsigned32', 'ObjectIdentity', 'Counter64', 'TimeTicks', 'Gauge32', 'iso', 'Counter32')
(textual_convention, display_string, truth_value, phys_address, row_status) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString', 'TruthValue', 'PhysAddress', 'RowStatus')
efm_cu_mib = module_identity((1, 3, 6, 1, 2, 1, 167)).setRevisions(('2007-11-14 00:00',))
if mibBuilder.loadTexts:
efmCuMIB.setLastUpdated('200711140000Z')
if mibBuilder.loadTexts:
efmCuMIB.setOrganization('IETF Ethernet Interfaces and Hub MIB Working Group')
if mibBuilder.loadTexts:
efmCuMIB.setContactInfo('WG charter:\n http://www.ietf.org/html.charters/OLD/hubmib-charter.html\n\n\n\n Mailing Lists:\n General Discussion: hubmib@ietf.org\n To Subscribe: hubmib-request@ietf.org\n In Body: subscribe your_email_address\n\n Chair: Bert Wijnen\n Postal: Alcatel-Lucent\n Schagen 33\n 3461 GL Linschoten\n Netherlands\n Phone: +31-348-407-775\n EMail: bwijnen@alcatel-lucent.com\n\n Editor: Edward Beili\n Postal: Actelis Networks Inc.\n 25 Bazel St., P.O.B. 10173\n Petach-Tikva 10173\n Israel\n Phone: +972-3-924-3491\n Email: edward.beili@actelis.com')
if mibBuilder.loadTexts:
efmCuMIB.setDescription("The objects in this MIB module are used to manage\n the Ethernet in the First Mile (EFM) Copper (EFMCu) Interfaces\n 2BASE-TL and 10PASS-TS, defined in IEEE Std. 802.3ah-2004,\n which is now a part of IEEE Std. 802.3-2005.\n\n The following references are used throughout this MIB module:\n\n [802.3ah] refers to:\n IEEE Std 802.3ah-2004: 'IEEE Standard for Information\n technology - Telecommunications and information exchange\n between systems - Local and metropolitan area networks -\n Specific requirements -\n Part 3: Carrier Sense Multiple Access with Collision\n Detection (CSMA/CD) Access Method and Physical Layer\n Specifications -\n Amendment: Media Access Control Parameters, Physical\n Layers and Management Parameters for Subscriber Access\n Networks', 07 September 2004.\n\n Of particular interest are Clause 61, 'Physical Coding\n Sublayer (PCS) and common specifications, type 10PASS-TS and\n type 2BASE-TL', Clause 30, 'Management', Clause 45,\n 'Management Data Input/Output (MDIO) Interface', Annex 62A,\n 'PMD profiles for 10PASS-TS' and Annex 63A, 'PMD profiles for\n 2BASE-TL'.\n\n\n\n\n [G.991.2] refers to:\n ITU-T Recommendation G.991.2: 'Single-pair High-speed Digital\n Subscriber Line (SHDSL) transceivers', December 2003.\n\n [ANFP] refers to:\n NICC Document ND1602:2005/08: 'Specification of the Access\n Network Frequency Plan (ANFP) applicable to transmission\n systems used on the BT Access Network,' August 2005.\n\n The following normative documents are quoted by the DESCRIPTION\n clauses in this MIB module:\n\n [G.993.1] refers to:\n ITU-T Recommendation G.993.1: 'Very High speed Digital\n Subscriber Line transceivers', June 2004.\n\n [T1.424] refers to:\n ANSI T1.424-2004: 'Interface Between Networks and Customer\n Installation Very-high-bit-rate Digital Subscriber Lines\n (VDSL) Metallic Interface (DMT Based)', June 2004.\n\n [TS 101 270-1] refers to:\n ETSI TS 101 270-1: 'Transmission and Multiplexing (TM);\n Access transmission systems on metallic access cables;\n Very high speed Digital Subscriber Line (VDSL); Part 1:\n Functional requirements', October 2005.\n\n Naming Conventions:\n Atn - Attenuation\n CO - Central Office\n CPE - Customer Premises Equipment\n EFM - Ethernet in the First Mile\n EFMCu - EFM Copper\n MDIO - Management Data Input/Output\n Mgn - Margin\n PAF - PME Aggregation Function\n PBO - Power Back-Off\n PCS - Physical Coding Sublayer\n PMD - Physical Medium Dependent\n PME - Physical Medium Entity\n PSD - Power Spectral Density\n SNR - Signal to Noise Ratio\n TCPAM - Trellis Coded Pulse Amplitude Modulation\n\n Copyright (C) The IETF Trust (2007). This version\n of this MIB module is part of RFC 5066; see the RFC\n itself for full legal notices.")
efm_cu_objects = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1))
efm_cu_conformance = mib_identifier((1, 3, 6, 1, 2, 1, 167, 2))
efm_cu_port = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 1))
efm_cu_pme = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 2))
class Efmprofileindex(Unsigned32, TextualConvention):
display_hint = 'd'
subtype_spec = Unsigned32.subtypeSpec + value_range_constraint(1, 255)
class Efmprofileindexorzero(Unsigned32, TextualConvention):
display_hint = 'd'
subtype_spec = Unsigned32.subtypeSpec + value_range_constraint(0, 255)
class Efmprofileindexlist(OctetString, TextualConvention):
display_hint = '1d:'
subtype_spec = OctetString.subtypeSpec + value_size_constraint(0, 6)
class Efmtruthvalueorunknown(Integer32, TextualConvention):
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2))
named_values = named_values(('unknown', 0), ('true', 1), ('false', 2))
efm_cu_port_notifications = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 1, 0))
efm_cu_low_rate_crossing = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 1, 0, 1)).setObjects(*(('EFM-CU-MIB', 'ifSpeed'), ('EFM-CU-MIB', 'efmCuThreshLowRate')))
if mibBuilder.loadTexts:
efmCuLowRateCrossing.setDescription("This notification indicates that the EFMCu port's data rate\n has reached/dropped below or exceeded the low rate threshold,\n specified by efmCuThreshLowRate.\n\n This notification MAY be sent for the -O subtype ports\n (2BaseTL-O/10PassTS-O) while the port is Up, on the crossing\n event in both directions: from normal (rate is above the\n threshold) to low (rate equals the threshold or below it) and\n\n\n\n from low to normal. This notification is not applicable to\n the -R subtypes.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent simultaneous LinkUp/LinkDown and\n efmCuLowRateCrossing notifications to be sent.\n\n The adaptive nature of the EFMCu technology allows the port to\n adapt itself to the changes in the copper environment, e.g.,\n an impulse noise, alien crosstalk, or a micro-interruption may\n temporarily drop one or more PMEs in the aggregation group,\n causing a rate degradation of the aggregated EFMCu link.\n The dropped PMEs would then try to re-initialize, possibly at\n a lower rate than before, adjusting the rate to provide\n required target SNR margin.\n\n Generation of this notification is controlled by the\n efmCuLowRateCrossingEnable object.")
efm_cu_port_conf_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 1, 1))
if mibBuilder.loadTexts:
efmCuPortConfTable.setDescription('Table for Configuration of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner.')
efm_cu_port_conf_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPortConfEntry.setDescription('An entry in the EFMCu Port Configuration table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efm_cu_paf_admin_state = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPAFAdminState.setDescription("Administrative (desired) state of the PAF of the EFMCu port\n (PCS).\n When 'disabled', PME aggregation will not be performed by the\n PCS. No more than a single PME can be assigned to this PCS in\n this case.\n When 'enabled', PAF will be performed by the PCS when the link\n is Up, even on a single attached PME, if PAF is supported.\n\n PCS ports incapable of supporting PAF SHALL return a value of\n 'disabled'. Attempts to 'enable' such ports SHALL be\n rejected.\n\n A PAF 'enabled' port with multiple PMEs assigned cannot be\n 'disabled'. Attempts to 'disable' such port SHALL be\n rejected, until at most one PME is left assigned.\n\n Changing PAFAdminState is a traffic-disruptive operation and\n as such SHALL be done when the link is Down. Attempts to\n change this object SHALL be rejected if the link is Up or\n Initializing.\n\n This object maps to the Clause 30 attribute aPAFAdminState.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object maps to the PAF enable bit in the 10P/2B PCS control\n register.\n\n This object MUST be maintained in a persistent manner.")
efm_cu_paf_discovery_code = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 2), phys_address().subtype(subtypeSpec=constraints_union(value_size_constraint(0, 0), value_size_constraint(6, 6)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPAFDiscoveryCode.setDescription('PAF Discovery Code of the EFMCu port (PCS).\n A unique 6-octet code used by the Discovery function,\n when PAF is supported.\n PCS ports incapable of supporting PAF SHALL return a\n zero-length octet string on an attempt to read this object.\n An attempt to write to this object SHALL be rejected for such\n ports.\n This object MUST be instantiated for the -O subtype PCS before\n writing operations on the efmCuPAFRemoteDiscoveryCode\n (Set_if_Clear and Clear_if_Same) are performed by PMEs\n associated with the PCS.\n The initial value of this object for -R subtype ports after\n reset is all zeroes. For -R subtype ports, the value of this\n object cannot be changed directly. This value may be changed\n as a result of writing operation on the\n efmCuPAFRemoteDiscoveryCode object of remote PME of -O\n subtype, connected to one of the local PMEs associated with\n the PCS.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n The PAF Discovery Code maps to the local Discovery code\n variable in PAF (note that it does not have a corresponding\n Clause 45 register).')
efm_cu_admin_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 3), efm_profile_index_list().clone(hexValue='01')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuAdminProfile.setDescription('Desired configuration profile(s), common for all PMEs in the\n EFMCu port. This object is a list of pointers to entries in\n either efmCuPme2BProfileTable or\n efmCuPme10PProfileTable, depending on the current\n operating SubType of the EFMCu port as indicated by\n efmCuPortSide.\n\n\n\n The value of this object is a list of up to 6 indices of\n profiles. If this list consists of a single profile index,\n then all PMEs assigned to this EFMCu port SHALL be configured\n according to the profile referenced by that index, unless it\n is overwritten by a corresponding non-zero\n efmCuPmeAdminProfile instance, which takes precedence over\n efmCuAdminProfile.\n A list consisting of more than one index allows each PME\n in the port to be configured according to any profile\n specified in the list.\n By default, this object has a value of 0x01, referencing the\n 1st entry in efmCuPme2BProfileTable or\n efmCuPme10PProfileTable.\n\n This object is writable and readable for the -O subtype\n (2BaseTL-O or 10PassTS-O) EFMCu ports. It is irrelevant for\n the -R subtype (2BaseTL-R or 10PassTS-R) ports -- a\n zero-length octet string SHALL be returned on an attempt to\n read this object and an attempt to change this object MUST be\n rejected in this case.\n\n Note that the current operational profile value is available\n via the efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n Attempts to set this object to a list with a member value that\n is not the value of the index for an active entry in the\n corresponding profile table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_target_data_rate = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 4), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(1, 100000), value_range_constraint(999999, 999999)))).setUnits('Kbps').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuTargetDataRate.setDescription("Desired EFMCu port 'net' (as seen across MII) Data Rate in\n Kbps, to be achieved during initialization, under spectral\n restrictions placed on each PME via efmCuAdminProfile or\n\n\n\n efmCuPmeAdminProfile, with the desired SNR margin specified by\n efmCuTargetSnrMgn.\n In case of PAF, this object represents a sum of individual PME\n data rates, modified to compensate for fragmentation and\n 64/65-octet encapsulation overhead (e.g., target data rate of\n 10 Mbps SHALL allow lossless transmission of a full-duplex\n 10 Mbps Ethernet frame stream with minimal inter-frame gap).\n\n The value is limited above by 100 Mbps as this is the max\n burst rate across MII for EFMCu ports.\n\n The value between 1 and 100000 indicates that the total data\n rate (ifSpeed) of the EFMCu port after initialization SHALL be\n equal to the target data rate or less, if the target data rate\n cannot be achieved under spectral restrictions specified by\n efmCuAdminProfile/efmCuPmeAdminProfile and with the desired\n SNR margin. In case the copper environment allows a higher\n total data rate to be achieved than that specified by the\n target, the excess capability SHALL be either converted to\n additional SNR margin or reclaimed by minimizing transmit\n power as controlled by efmCuAdaptiveSpectra.\n\n The value of 999999 means that the target data rate is not\n fixed and SHALL be set to the maximum attainable rate during\n initialization (Best Effort), under specified spectral\n restrictions and with the desired SNR margin.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the Target Data Rate MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current Data Rate of the EFMCu port is\n represented by the ifSpeed object of IF-MIB.\n\n This object MUST be maintained in a persistent manner.")
efm_cu_target_snr_mgn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 5), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 21))).setUnits('dB').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuTargetSnrMgn.setDescription('Desired EFMCu port SNR margin to be achieved on all PMEs\n\n\n\n assigned to the port, during initialization. (The SNR margin\n is the difference between the desired SNR and the actual SNR).\n\n Note that 802.3ah recommends using a default target SNR margin\n of 5 dB for 2BASE-TL ports and 6 dB for 10PASS-TS ports in\n order to achieve a mean Bit Error Rate (BER) of 10^-7 at the\n PMA service interface.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of the target SNR margin MUST be performed when the\n link is Down. Attempts to change this object MUST be rejected\n (in case of SNMP with the error inconsistentValue), if the\n link is Up or Initializing.\n\n Note that the current SNR margin of the PMEs comprising the\n EFMCu port is represented by efmCuPmeSnrMgn.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_adaptive_spectra = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 6), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuAdaptiveSpectra.setDescription('Indicates how to utilize excess capacity when the copper\n environment allows a higher total data rate to be achieved\n than that specified by the efmCuTargetDataRate.\n\n A value of true(1) indicates that the excess capability SHALL\n be reclaimed by minimizing transmit power, e.g., using higher\n constellations and Power Back-Off, in order to reduce\n interference to other copper pairs in the binder and the\n adverse impact to link/system performance.\n\n A value of false(2) indicates that the excess capability SHALL\n be converted to additional SNR margin and spread evenly across\n all active PMEs assigned to the (PCS) port, to increase link\n robustness.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n Changing of this object MUST be performed when the link is\n\n\n\n Down. Attempts to change this object MUST be rejected (in\n case of SNMP with the error inconsistentValue), if the link\n is Up or Initializing.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_thresh_low_rate = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 7), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 100000))).setUnits('Kbps').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuThreshLowRate.setDescription('This object configures the EFMCu port low-rate crossing alarm\n threshold. When the current value of ifSpeed for this port\n reaches/drops below or exceeds this threshold, an\n efmCuLowRateCrossing notification MAY be generated if enabled\n by efmCuLowRateCrossingEnable.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_low_rate_crossing_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 1, 1, 8), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuLowRateCrossingEnable.setDescription('Indicates whether efmCuLowRateCrossing notifications should\n be generated for this interface.\n\n A value of true(1) indicates that efmCuLowRateCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.\n\n This object is read-write for the -O subtype EFMCu ports\n (2BaseTL-O/10PassTS-O) and not available for the -R subtypes.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_port_capability_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 1, 2))
if mibBuilder.loadTexts:
efmCuPortCapabilityTable.setDescription('Table for Capabilities of EFMCu 2BASE-TL/10PASS-TS (PCS)\n Ports. Entries in this table MUST be maintained in a\n persistent manner')
efm_cu_port_capability_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPortCapabilityEntry.setDescription('An entry in the EFMCu Port Capability table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efm_cu_paf_supported = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 1), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS).\n This object has a value of true(1) when the PCS can perform\n PME aggregation on the available PMEs.\n Ports incapable of PAF SHALL return a value of false(2).\n\n This object maps to the Clause 30 attribute aPAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present,\n then this object maps to the PAF available bit in the\n 10P/2B capability register.')
efm_cu_peer_paf_supported = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 2), efm_truth_value_or_unknown()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPeerPAFSupported.setDescription('PME Aggregation Function (PAF) capability of the EFMCu port\n (PCS) link partner.\n This object has a value of true(1) when the remote PCS can\n perform PME aggregation on its available PMEs.\n Ports whose peers are incapable of PAF SHALL return a value\n of false(2).\n Ports whose peers cannot be reached because of the link\n state SHALL return a value of unknown(0).\n\n This object maps to the Clause 30 attribute\n aRemotePAFSupported.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the Remote PAF supported bit in the\n 10P/2B capability register.')
efm_cu_paf_capacity = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 3), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 32))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFCapacity.setDescription('Number of PMEs that can be aggregated by the local PAF.\n The number of PMEs currently assigned to a particular\n EFMCu port (efmCuNumPMEs) is never greater than\n efmCuPAFCapacity.\n\n This object maps to the Clause 30 attribute\n aLocalPAFCapacity.')
efm_cu_peer_paf_capacity = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 2, 1, 4), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 32)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPeerPAFCapacity.setDescription('Number of PMEs that can be aggregated by the PAF of the peer\n PHY (PCS port).\n A value of 0 is returned when peer PAF capacity is unknown\n (peer cannot be reached).\n\n\n\n\n This object maps to the Clause 30 attribute\n aRemotePAFCapacity.')
efm_cu_port_status_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 1, 3))
if mibBuilder.loadTexts:
efmCuPortStatusTable.setDescription('This table provides overall status information of EFMCu\n 2BASE-TL/10PASS-TS ports, complementing the generic status\n information from the ifTable of IF-MIB and ifMauTable of\n MAU-MIB. Additional status information about connected PMEs\n is available from the efmCuPmeStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efm_cu_port_status_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPortStatusEntry.setDescription('An entry in the EFMCu Port Status table.\n Each entry represents an EFMCu port indexed by the ifIndex.\n Note that an EFMCu PCS port runs on top of a single\n or multiple PME port(s), which are also indexed by ifIndex.')
efm_cu_flt_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 1), bits().clone(namedValues=named_values(('noPeer', 0), ('peerPowerLoss', 1), ('pmeSubTypeMismatch', 2), ('lowRate', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuFltStatus.setDescription("EFMCu (PCS) port Fault Status. This is a bitmap of possible\n conditions. The various bit positions are:\n noPeer - the peer PHY cannot be reached (e.g.,\n no PMEs attached, all PMEs are Down,\n etc.). More info is available in\n efmCuPmeFltStatus.\n peerPowerLoss - the peer PHY has indicated impending\n unit failure due to loss of local\n power ('Dying Gasp').\n pmeSubTypeMismatch - local PMEs in the aggregation group\n are not of the same subtype, e.g.,\n some PMEs in the local device are -O\n while others are -R subtype.\n lowRate - ifSpeed of the port reached or dropped\n below efmCuThreshLowRate.\n\n This object is intended to supplement the ifOperStatus object\n in IF-MIB and ifMauMediaAvailable in MAU-MIB.\n\n Additional information is available via the efmCuPmeFltStatus\n object for each PME in the aggregation group (single PME if\n PAF is disabled).")
efm_cu_port_side = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('subscriber', 1), ('office', 2), ('unknown', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPortSide.setDescription("EFM port mode of operation (subtype).\n The value of 'subscriber' indicates that the port is\n\n\n\n designated as '-R' subtype (all PMEs assigned to this port are\n of subtype '-R').\n The value of the 'office' indicates that the port is\n designated as '-O' subtype (all PMEs assigned to this port are\n of subtype '-O').\n The value of 'unknown' indicates that the port has no assigned\n PMEs yet or that the assigned PMEs are not of the same side\n (subTypePMEMismatch).\n\n This object partially maps to the Clause 30 attribute\n aPhyEnd.")
efm_cu_num_pm_es = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 3), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 32))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuNumPMEs.setDescription('The number of PMEs that is currently aggregated by the local\n PAF (assigned to the EFMCu port using the ifStackTable).\n This number is never greater than efmCuPAFCapacity.\n\n This object SHALL be automatically incremented or decremented\n when a PME is added or deleted to/from the EFMCu port using\n the ifStackTable.')
efm_cu_paf_in_errors = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInErrors.setDescription('The number of fragments that have been received across the\n gamma interface with RxErr asserted and discarded.\n This read-only counter is inactive (not incremented) when the\n PAF is unsupported or disabled. Upon disabling the PAF, the\n counter retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF RX error register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n\n\n\n defined in IF-MIB.')
efm_cu_paf_in_small_fragments = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInSmallFragments.setDescription('The number of fragments smaller than minFragmentSize\n (64 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF small fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_large_fragments = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInLargeFragments.setDescription('The number of fragments larger than maxFragmentSize\n (512 bytes) that have been received across the gamma interface\n and discarded.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF large fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_bad_fragments = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInBadFragments.setDescription('The number of fragments that do not fit into the sequence\n expected by the frame assembly function and that have been\n received across the gamma interface and discarded (the\n frame buffer is flushed to the next valid frame start).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF bad fragments register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_lost_fragments = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInLostFragments.setDescription('The number of gaps in the sequence of fragments that have\n been received across the gamma interface (the frame buffer is\n flushed to the next valid frame start, when fragment/fragments\n expected by the frame assembly function is/are not received).\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost fragment register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_lost_starts = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInLostStarts.setDescription('The number of missing StartOfPacket indicators expected by\n the frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_lost_ends = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInLostEnds.setDescription('The number of missing EndOfPacket indicators expected by the\n frame assembly function.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF lost start of fragment\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_paf_in_overflows = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 1, 3, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPAFInOverflows.setDescription('The number of fragments, received across the gamma interface\n and discarded, which would have caused the frame assembly\n buffer to overflow.\n This read-only counter is inactive when the PAF is\n unsupported or disabled. Upon disabling the PAF, the counter\n retains its previous value.\n\n If a Clause 45 MDIO Interface to the PCS is present, then\n this object maps to the 10P/2B PAF overflow register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_pme_notifications = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 0))
efm_cu_pme_line_atn_crossing = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 1)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeLineAtn'), ('EFM-CU-MIB', 'efmCuPmeThreshLineAtn')))
if mibBuilder.loadTexts:
efmCuPmeLineAtnCrossing.setDescription('This notification indicates that the loop attenuation\n threshold (as per the efmCuPmeThreshLineAtn\n value) has been reached/exceeded for the 2BASE-TL/10PASS-TS\n PME. This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeLineAtnCrossingEnable object.')
efm_cu_pme_snr_mgn_crossing = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 2)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeSnrMgn'), ('EFM-CU-MIB', 'efmCuPmeThreshSnrMgn')))
if mibBuilder.loadTexts:
efmCuPmeSnrMgnCrossing.setDescription('This notification indicates that the SNR margin threshold\n (as per the efmCuPmeThreshSnrMgn value) has been\n reached/exceeded for the 2BASE-TL/10PASS-TS PME.\n This notification MAY be sent on the crossing event in\n both directions: from normal to exceeded and from exceeded\n to normal.\n\n It is RECOMMENDED that a small debouncing period of 2.5 sec,\n between the detection of the condition and the notification,\n is implemented to prevent intermittent notifications from\n being sent.\n\n Generation of this notification is controlled by the\n efmCuPmeSnrMgnCrossingEnable object.')
efm_cu_pme_device_fault = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 3)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeFltStatus'),))
if mibBuilder.loadTexts:
efmCuPmeDeviceFault.setDescription('This notification indicates that a fault in the PME has been\n detected by a vendor-specific diagnostic or a self-test.\n\n Generation of this notification is controlled by the\n efmCuPmeDeviceFaultEnable object.')
efm_cu_pme_config_init_failure = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 4)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeFltStatus'), ('EFM-CU-MIB', 'efmCuAdminProfile'), ('EFM-CU-MIB', 'efmCuPmeAdminProfile')))
if mibBuilder.loadTexts:
efmCuPmeConfigInitFailure.setDescription('This notification indicates that PME initialization has\n failed, due to inability of the PME link to achieve the\n\n\n\n requested configuration profile.\n\n Generation of this notification is controlled by the\n efmCuPmeConfigInitFailEnable object.')
efm_cu_pme_protocol_init_failure = notification_type((1, 3, 6, 1, 2, 1, 167, 1, 2, 0, 5)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeFltStatus'), ('EFM-CU-MIB', 'efmCuPmeOperSubType')))
if mibBuilder.loadTexts:
efmCuPmeProtocolInitFailure.setDescription('This notification indicates that the peer PME was using\n an incompatible protocol during initialization.\n\n Generation of this notification is controlled by the\n efmCuPmeProtocolInitFailEnable object.')
efm_cu_pme_conf_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 1))
if mibBuilder.loadTexts:
efmCuPmeConfTable.setDescription('Table for Configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). Configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in efmCuPme2BConfTable and efmCuPme10PConfTable,\n respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efm_cu_pme_conf_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPmeConfEntry.setDescription('An entry in the EFMCu PME Configuration table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efm_cu_pme_admin_sub_type = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=named_values(('ieee2BaseTLO', 1), ('ieee2BaseTLR', 2), ('ieee10PassTSO', 3), ('ieee10PassTSR', 4), ('ieee2BaseTLor10PassTSR', 5), ('ieee2BaseTLor10PassTSO', 6), ('ieee10PassTSor2BaseTLO', 7)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeAdminSubType.setDescription('Administrative (desired) subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME SHALL operate as 2BaseTL-O\n ieee2BaseTLR - PME SHALL operate as 2BaseTL-R\n ieee10PassTSO - PME SHALL operate as 10PassTS-O\n ieee10PassTSR - PME SHALL operate as 10PassTS-R\n ieee2BaseTLor10PassTSR - PME SHALL operate as 2BaseTL-R or\n 10PassTS-R. The actual value will\n be set by the -O link partner\n during initialization (handshake).\n ieee2BaseTLor10PassTSO - PME SHALL operate as 2BaseTL-O\n (preferred) or 10PassTS-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 2BaseTL mode, 10PassTS will be\n used).\n ieee10PassTSor2BaseTLO - PME SHALL operate as 10PassTS-O\n\n\n\n (preferred) or 2BaseTL-O. The\n actual value will be set during\n initialization depending on the -R\n link partner capability (i.e., if\n -R is incapable of the preferred\n 10PassTS mode, 2BaseTL will be\n used).\n\n Changing efmCuPmeAdminSubType is a traffic-disruptive\n operation and as such SHALL be done when the link is Down.\n Attempts to change this object SHALL be rejected if the link\n is Up or Initializing.\n Attempts to change this object to an unsupported subtype\n (see efmCuPmeSubTypesSupported) SHALL be rejected.\n\n The current operational subtype is indicated by the\n efmCuPmeOperSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select bits\n and the PMA/PMD type selection bits in the 10P/2B PMA/PMD\n control register.')
efm_cu_pme_admin_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 2), efm_profile_index_or_zero()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeAdminProfile.setDescription('Desired PME configuration profile. This object is a pointer\n to an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME. The value of this object is the index of\n the referenced profile.\n The value of zero (default) indicates that the PME is\n configured via the efmCuAdminProfile object for the PCS port\n to which this PME is assigned. That is, the profile\n referenced by efmCuPmeAdminProfile takes precedence\n over the profile(s) referenced by efmCuAdminProfile.\n\n This object is writable and readable for the CO subtype PMEs\n (2BaseTL-O or 10PassTS-O). It is irrelevant for the CPE\n subtype (2BaseTL-R or 10PassTS-R) -- a zero value SHALL be\n returned on an attempt to read this object and any attempt\n to change this object MUST be rejected in this case.\n\n\n\n\n Note that the current operational profile value is available\n via efmCuPmeOperProfile object.\n\n Any modification of this object MUST be performed when the\n link is Down. Attempts to change this object MUST be\n rejected, if the link is Up or Initializing.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding profile\n table MUST be rejected.\n\n This object maps to the Clause 30 attribute aProfileSelect.\n\n This object MUST be maintained in a persistent manner.')
efm_cu_paf_remote_discovery_code = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 3), phys_address().subtype(subtypeSpec=constraints_union(value_size_constraint(0, 0), value_size_constraint(6, 6)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPAFRemoteDiscoveryCode.setDescription('PAF Remote Discovery Code of the PME port at the CO.\n The 6-octet Discovery Code of the peer PCS connected via\n the PME.\n Reading this object results in a Discovery Get operation.\n Setting this object to all zeroes results in a Discovery\n Clear_if_Same operation (the value of efmCuPAFDiscoveryCode\n at the peer PCS SHALL be the same as efmCuPAFDiscoveryCode of\n the local PCS associated with the PME for the operation to\n succeed).\n Writing a non-zero value to this object results in a\n Discovery Set_if_Clear operation.\n A zero-length octet string SHALL be returned on an attempt to\n read this object when PAF aggregation is not enabled.\n\n This object is irrelevant in CPE port (-R) subtypes: in this\n case, a zero-length octet string SHALL be returned on an\n attempt to read this object; writing to this object SHALL\n be rejected.\n\n Discovery MUST be performed when the link is Down.\n Attempts to change this object MUST be rejected (in case of\n SNMP with the error inconsistentValue), if the link is Up or\n Initializing.\n\n\n\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object is a function of 10P/2B aggregation discovery\n control register, Discovery operation result bits in 10P/2B\n aggregation and discovery status register and\n 10P/2B aggregation discovery code register.')
efm_cu_pme_thresh_line_atn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(-127, 128))).setUnits('dB').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeThreshLineAtn.setDescription('Desired Line Attenuation threshold for the 2B/10P PME.\n This object configures the line attenuation alarm threshold.\n When the current value of Line Attenuation reaches or\n exceeds this threshold, an efmCuPmeLineAtnCrossing\n notification MAY be generated, if enabled by\n efmCuPmeLineAtnCrossingEnable.\n\n This object is writable for the CO subtype PMEs (-O).\n It is read-only for the CPE subtype (-R).\n\n Changing of the Line Attenuation threshold MUST be performed\n when the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the loop attenuation threshold bits in\n the 2B PMD line quality thresholds register.')
efm_cu_pme_thresh_snr_mgn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(-127, 128))).setUnits('dB').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeThreshSnrMgn.setDescription('Desired SNR margin threshold for the 2B/10P PME.\n This object configures the SNR margin alarm threshold.\n When the current value of SNR margin reaches or exceeds this\n threshold, an efmCuPmeSnrMgnCrossing notification MAY be\n generated, if enabled by efmCuPmeSnrMgnCrossingEnable.\n\n\n\n This object is writable for the CO subtype PMEs\n (2BaseTL-O/10PassTS-O). It is read-only for the CPE subtype\n (2BaseTL-R/10PassTS-R).\n\n Changing of the SNR margin threshold MUST be performed when\n the link is Down. Attempts to change this object MUST be\n rejected (in case of SNMP with the error inconsistentValue),\n if the link is Up or Initializing.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the SNR margin threshold bits in the 2B PMD\n line quality thresholds register.')
efm_cu_pme_line_atn_crossing_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 6), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeLineAtnCrossingEnable.setDescription('Indicates whether efmCuPmeLineAtnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeLineAtnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efm_cu_pme_snr_mgn_crossing_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 7), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeSnrMgnCrossingEnable.setDescription('Indicates whether efmCuPmeSnrMgnCrossing notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeSnrMgnCrossing\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efm_cu_pme_device_fault_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 8), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeDeviceFaultEnable.setDescription('Indicates whether efmCuPmeDeviceFault notifications\n\n\n\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeDeviceFault\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efm_cu_pme_config_init_fail_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 9), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeConfigInitFailEnable.setDescription('Indicates whether efmCuPmeConfigInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeConfigInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efm_cu_pme_protocol_init_fail_enable = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 1, 1, 10), truth_value()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
efmCuPmeProtocolInitFailEnable.setDescription('Indicates whether efmCuPmeProtocolInitFailure notifications\n should be generated for this interface.\n\n A value of true(1) indicates that efmCuPmeProtocolInitFailure\n notification is enabled. A value of false(2) indicates that\n the notification is disabled.')
efm_cu_pme_capability_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 2))
if mibBuilder.loadTexts:
efmCuPmeCapabilityTable.setDescription('Table for the configuration of common aspects for EFMCu\n 2BASE-TL/10PASS-TS PME ports (modems). The configuration of\n aspects specific to 2BASE-TL or 10PASS-TS PME types is\n represented in the efmCuPme2BConfTable and the\n efmCuPme10PConfTable, respectively.\n\n Entries in this table MUST be maintained in a persistent\n manner.')
efm_cu_pme_capability_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPmeCapabilityEntry.setDescription('An entry in the EFMCu PME Capability table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efm_cu_pme_sub_types_supported = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 2, 1, 1), bits().clone(namedValues=named_values(('ieee2BaseTLO', 0), ('ieee2BaseTLR', 1), ('ieee10PassTSO', 2), ('ieee10PassTSR', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeSubTypesSupported.setDescription('PME supported subtypes. This is a bitmap of possible\n subtypes. The various bit positions are:\n ieee2BaseTLO - PME is capable of operating as 2BaseTL-O\n ieee2BaseTLR - PME is capable of operating as 2BaseTL-R\n ieee10PassTSO - PME is capable of operating as 10PassTS-O\n ieee10PassTSR - PME is capable of operating as 10PassTS-R\n\n The desired mode of operation is determined by\n efmCuPmeAdminSubType, while efmCuPmeOperSubType reflects the\n current operating mode.\n\n If a Clause 45 MDIO Interface to the PCS is present, then this\n object combines the 10PASS-TS capable and 2BASE-TL capable\n bits in the 10P/2B PMA/PMD speed ability register and the\n CO supported and CPE supported bits in the 10P/2B PMA/PMD\n status register.')
efm_cu_pme_status_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 3))
if mibBuilder.loadTexts:
efmCuPmeStatusTable.setDescription('This table provides common status information of EFMCu\n 2BASE-TL/10PASS-TS PME ports. Status information specific\n to 10PASS-TS PME is represented in efmCuPme10PStatusTable.\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efm_cu_pme_status_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPmeStatusEntry.setDescription('An entry in the EFMCu PME Status table.\n Each entry represents common aspects of an EFMCu PME port\n indexed by the ifIndex. Note that an EFMCu PME port can be\n stacked below a single PCS port, also indexed by ifIndex,\n possibly together with other PME ports if PAF is enabled.')
efm_cu_pme_oper_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('up', 1), ('downNotReady', 2), ('downReady', 3), ('init', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeOperStatus.setDescription("Current PME link Operational Status. Possible values are:\n up(1) - The link is Up and ready to pass\n 64/65-octet encoded frames or fragments.\n downNotReady(2) - The link is Down and the PME does not\n detect Handshake tones from its peer.\n This value may indicate a possible\n problem with the peer PME.\n downReady(3) - The link is Down and the PME detects\n Handshake tones from its peer.\n init(4) - The link is Initializing, as a result of\n ifAdminStatus being set to 'up' for a\n particular PME or a PCS to which the PME\n is connected.\n\n This object is intended to supplement the Down(2) state of\n ifOperStatus.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to PMA/PMD link status bits in 10P/2B\n PMA/PMD status register.")
efm_cu_pme_flt_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 2), bits().clone(namedValues=named_values(('lossOfFraming', 0), ('snrMgnDefect', 1), ('lineAtnDefect', 2), ('deviceFault', 3), ('configInitFailure', 4), ('protocolInitFailure', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeFltStatus.setDescription('Current/Last PME link Fault Status. This is a bitmap of\n possible conditions. The various bit positions are:\n\n lossOfFraming - Loss of Framing for 10P or\n Loss of Sync word for 2B PMD or\n Loss of 64/65-octet framing.\n\n\n\n snrMgnDefect - SNR margin dropped below the\n threshold.\n lineAtnDefect - Line Attenuation exceeds the\n threshold.\n deviceFault - Indicates a vendor-dependent\n diagnostic or self-test fault\n has been detected.\n configInitFailure - Configuration initialization failure,\n due to inability of the PME link to\n support the configuration profile,\n requested during initialization.\n protocolInitFailure - Protocol initialization failure, due\n to an incompatible protocol used by\n the peer PME during init (that could\n happen if a peer PMD is a regular\n G.SDHSL/VDSL modem instead of a\n 2BASE-TL/10PASS-TS PME).\n\n This object is intended to supplement ifOperStatus in IF-MIB.\n\n This object holds information about the last fault.\n efmCuPmeFltStatus is cleared by the device restart.\n In addition, lossOfFraming, configInitFailure, and\n protocolInitFailure are cleared by PME init;\n deviceFault is cleared by successful diagnostics/test;\n snrMgnDefect and lineAtnDefect are cleared by SNR margin\n and Line attenuation, respectively, returning to norm and by\n PME init.\n\n This object partially maps to the Clause 30 attribute\n aPMEStatus.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object consolidates information from various PMA/PMD\n registers, namely: Fault bit in PMA/PMD status 1 register,\n 10P/2B PMA/PMD link loss register,\n 10P outgoing indicator bits status register,\n 10P incoming indicator bits status register,\n 2B state defects register.')
efm_cu_pme_oper_sub_type = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('ieee2BaseTLO', 1), ('ieee2BaseTLR', 2), ('ieee10PassTSO', 3), ('ieee10PassTSR', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeOperSubType.setDescription('Current operational subtype of the PME.\n Possible values are:\n ieee2BaseTLO - PME operates as 2BaseTL-O\n ieee2BaseTLR - PME operates as 2BaseTL-R\n ieee10PassTSO - PME operates as 10PassTS-O\n ieee10PassTSR - PME operates as 10PassTS-R\n\n The desired operational subtype of the PME can be configured\n via the efmCuPmeAdminSubType variable.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present, then\n this object combines values of the Port subtype select\n bits, the PMA/PMD type selection bits in the 10P/2B\n PMA/PMD control register, and the PMA/PMD link status bits in\n the 10P/2B PMA/PMD status register.')
efm_cu_pme_oper_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 4), efm_profile_index_or_zero()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeOperProfile.setDescription('PME current operating profile. This object is a pointer to\n an entry in either the efmCuPme2BProfileTable or the\n efmCuPme10PProfileTable, depending on the current operating\n SubType of the PME as indicated by efmCuPmeOperSubType.\n Note that a profile entry to which efmCuPmeOperProfile is\n pointing can be created automatically to reflect achieved\n parameters in adaptive (not fixed) initialization,\n i.e., values of efmCuPmeOperProfile and efmCuAdminProfile or\n efmCuPmeAdminProfile may differ.\n The value of zero indicates that the PME is Down or\n Initializing.\n\n This object partially maps to the aOperatingProfile attribute\n in Clause 30.')
efm_cu_pme_snr_mgn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 5), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(-127, 128), value_range_constraint(65535, 65535)))).setUnits('dB').setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeSnrMgn.setDescription('The current Signal to Noise Ratio (SNR) margin with respect\n to the received signal as perceived by the local PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object maps to the aPMESNRMgn attribute in Clause 30.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B RX SNR margin register.')
efm_cu_pme_peer_snr_mgn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 6), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(-127, 128), value_range_constraint(65535, 65535)))).setUnits('dB').setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmePeerSnrMgn.setDescription('The current SNR margin in dB with respect to the received\n signal, as perceived by the remote (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 10P/2B link partner RX SNR margin\n register.')
efm_cu_pme_line_atn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 7), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(-127, 128), value_range_constraint(65535, 65535)))).setUnits('dB').setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeLineAtn.setDescription('The current Line Attenuation in dB as perceived by the local\n PME.\n\n\n\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the Line Attenuation register.')
efm_cu_pme_peer_line_atn = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 8), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(-127, 128), value_range_constraint(65535, 65535)))).setUnits('dB').setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmePeerLineAtn.setDescription('The current Line Attenuation in dB as perceived by the remote\n (link partner) PME.\n The value of 65535 is returned when the PME is Down or\n Initializing.\n\n This object is irrelevant for the -R PME subtypes. The value\n of 65535 SHALL be returned in this case.\n\n If a Clause 45 MDIO Interface is present, then this\n object maps to the 20P/2B link partner Line Attenuation\n register.')
efm_cu_pme_equivalent_length = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 9), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 8192), value_range_constraint(65535, 65535)))).setUnits('m').setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeEquivalentLength.setDescription("An estimate of the equivalent loop's physical length in\n meters, as perceived by the PME after the link is established.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n bridged taps.\n The value of 65535 is returned if the link is Down or\n Initializing or the PME is unable to estimate the equivalent\n length.\n\n For a 10BASE-TL PME, if a Clause 45 MDIO Interface to the PME\n is present, then this object maps to the 10P Electrical Length\n register.")
efm_cu_pme_tc_coding_errors = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeTCCodingErrors.setDescription('The number of 64/65-octet encapsulation errors. This counter\n is incremented for each 64/65-octet encapsulation error\n detected by the 64/65-octet receive function.\n\n This object maps to aTCCodingViolations attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC coding violations register\n (see 45.2.6.12).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_pme_tc_crc_errors = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 3, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPmeTCCrcErrors.setDescription('The number of TC-CRC errors. This counter is incremented for\n each TC-CRC error detected by the 64/65-octet receive function\n (see 61.3.3.3 and Figure 61-19).\n\n This object maps to aTCCRCErrors attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PME TC is present, then\n this object maps to the TC CRC error register\n (see 45.2.6.11).\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_pme2_b = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 5))
efm_cu_pme2_b_profile_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2))
if mibBuilder.loadTexts:
efmCuPme2BProfileTable.setDescription('This table supports definitions of administrative and\n operating profiles for 2BASE-TL PMEs.\n The first 14 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 63A):\n -------+-------+-------+-----+------+-------------+-----------\n Profile MinRate MaxRate Power Region Constellation Comment\n index (Kbps) (Kbps) (dBm)\n -------+-------+-------+-----+------+-------------+-----------\n 1 5696 5696 13.5 1 32-TCPAM default\n 2 3072 3072 13.5 1 32-TCPAM\n 3 2048 2048 13.5 1 16-TCPAM\n 4 1024 1024 13.5 1 16-TCPAM\n 5 704 704 13.5 1 16-TCPAM\n 6 512 512 13.5 1 16-TCPAM\n 7 5696 5696 14.5 2 32-TCPAM\n 8 3072 3072 14.5 2 32-TCPAM\n 9 2048 2048 14.5 2 16-TCPAM\n 10 1024 1024 13.5 2 16-TCPAM\n 11 704 704 13.5 2 16-TCPAM\n 12 512 512 13.5 2 16-TCPAM\n 13 192 5696 0 1 0 best effort\n 14 192 5696 0 2 0 best effort\n -------+-------+-------+-----+------+-------------+-----------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 14 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efm_cu_pme2_b_profile_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1)).setIndexNames((0, 'EFM-CU-MIB', 'efmCuPme2BProfileIndex'))
if mibBuilder.loadTexts:
efmCuPme2BProfileEntry.setDescription("Each entry corresponds to a single 2BASE-TL PME profile.\n Each profile contains a set of parameters, used either for\n configuration or representation of a 2BASE-TL PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 2BaseTL-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of an\n operational PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BProfileRowStatus. If an\n active entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efm_cu_pme2_b_profile_index = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 1), efm_profile_index())
if mibBuilder.loadTexts:
efmCuPme2BProfileIndex.setDescription('2BASE-TL PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile objects.')
efm_cu_pme2_b_profile_descr = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 2), snmp_admin_string()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BProfileDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n profile. The string may include information about the data\n rate and spectral limitations of this particular profile.')
efm_cu_pme2_b_region = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('region1', 1), ('region2', 2)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BRegion.setDescription('Regional settings for a 2BASE-TL PME, as specified in the\n relevant Regional Annex of [G.991.2].\n Regional settings specify the Power Spectral Density (PSD)\n mask and the Power Back-Off (PBO) values, and place\n limitations on the max allowed data rate, power, and\n constellation.\n\n Possible values for this object are:\n region1 - Annexes A and F (e.g., North America)\n region2 - Annexes B and G (e.g., Europe)\n\n Annex A/B specify regional settings for data rates 192-2304\n Kbps using 16-TCPAM encoding.\n Annex F/G specify regional settings for rates 2320-3840 Kbps\n using 16-TCPAM encoding and 768-5696 Kbps using 32-TCPAM\n encoding.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object partially maps to the Region bits in the 2B general\n parameter register.')
efm_cu_pme2_bs_mode = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 4), efm_profile_index_or_zero()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BsMode.setDescription('Desired custom Spectral Mode for a 2BASE-TL PME. This object\n\n\n\n is a pointer to an entry in efmCuPme2BsModeTable and a block\n of entries in efmCuPme2BRateReachTable, which together define\n (country-specific) reach-dependent rate limitations in\n addition to those defined by efmCuPme2BRegion.\n\n The value of this object is the index of the referenced\n spectral mode.\n The value of zero (default) indicates that no specific\n spectral mode is applicable.\n\n Attempts to set this object to a value that is not the value\n of the index for an active entry in the corresponding spectral\n mode table MUST be rejected.')
efm_cu_pme2_b_min_data_rate = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 5), unsigned32().subtype(subtypeSpec=value_range_constraint(192, 5696))).setUnits('Kbps').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BMinDataRate.setDescription("Minimum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMaxDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Min Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efm_cu_pme2_b_max_data_rate = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 6), unsigned32().subtype(subtypeSpec=value_range_constraint(192, 5696))).setUnits('Kbps').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BMaxDataRate.setDescription("Maximum Data Rate for the 2BASE-TL PME.\n This object can take values of (n x 64)Kbps,\n where n=3..60 for 16-TCPAM and n=12..89 for 32-TCPAM encoding.\n\n The data rate of the 2BASE-TL PME is considered 'fixed' when\n the value of this object equals that of efmCuPme2BMinDataRate.\n If efmCuPme2BMinDataRate is less than efmCuPme2BMaxDataRate in\n the administrative profile, the data rate is considered\n 'adaptive', and SHALL be set to the maximum attainable rate\n not exceeding efmCuPme2BMaxDataRate, under the spectral\n limitations placed by the efmCuPme2BRegion and\n efmCuPme2BsMode.\n\n Note that the current operational data rate of the PME is\n represented by the ifSpeed object of IF-MIB.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Max Data Rate1 bits in the 2B PMD\n parameters register.\n\n This object MUST be maintained in a persistent manner.")
efm_cu_pme2_b_power = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 7), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(10, 42)))).setUnits('0.5 dBm').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BPower.setDescription('Signal Transmit Power. Multiple of 0.5 dBm.\n The value of 0 in the administrative profile means that the\n signal transmit power is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Power1 bits in the 2B PMD parameters\n register.')
efm_cu_pme2_b_constellation = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2))).clone(namedValues=named_values(('adaptive', 0), ('tcpam16', 1), ('tcpam32', 2)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BConstellation.setDescription('TCPAM Constellation of the 2BASE-TL PME.\n The possible values are:\n adaptive(0) - either 16- or 32-TCPAM\n tcpam16(1) - 16-TCPAM\n tcpam32(2) - 32-TCPAM\n\n The value of adaptive(0) in the administrative profile means\n that the constellation is not fixed and SHALL be set to\n maximize the attainable rate, under the spectral limitations\n placed by the efmCuPme2BRegion and efmCuPme2BsMode.\n\n If a Clause 45 MDIO Interface to the PME is present, then this\n object maps to the Constellation1 bits in the 2B general\n parameter register.')
efm_cu_pme2_b_profile_row_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 2, 1, 9), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BProfileRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BProfileTable per the\n semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile instance(s), the entry MUST remain\n 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efm_cu_pme2_bs_mode_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3))
if mibBuilder.loadTexts:
efmCuPme2BsModeTable.setDescription('This table, together with efmCu2BReachRateTable, supports\n definition of administrative custom spectral modes for\n 2BASE-TL PMEs, describing spectral limitations in addition to\n those specified by efmCuPme2BRegion.\n\n In some countries, spectral regulations (e.g., UK ANFP) limit\n the length of the loops for certain data rates. This table\n allows these country-specific limitations to be specified.\n\n Entries in this table referenced by the efmCuPme2BsMode\n MUST NOT be deleted until all the active references are\n removed.\n\n This table MUST be maintained in a persistent manner.')
efm_cu_pme2_bs_mode_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1)).setIndexNames((0, 'EFM-CU-MIB', 'efmCuPme2BsModeIndex'))
if mibBuilder.loadTexts:
efmCuPme2BsModeEntry.setDescription('Each entry specifies a spectral mode description and its\n index, which is used to reference corresponding entries in the\n efmCu2BReachRateTable.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2BsModeRowStatus.')
efm_cu_pme2_bs_mode_index = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 1), efm_profile_index())
if mibBuilder.loadTexts:
efmCuPme2BsModeIndex.setDescription('2BASE-TL PME Spectral Mode index.\n This object is the unique index associated with this spectral\n mode.\n Entries in this table are referenced via the efmCuPme2BsMode\n object.')
efm_cu_pme2_bs_mode_descr = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 2), snmp_admin_string()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BsModeDescr.setDescription('A textual string containing information about a 2BASE-TL PME\n spectral mode. The string may include information about\n corresponding (country-specific) spectral regulations\n and rate/reach limitations of this particular spectral mode.')
efm_cu_pme2_bs_mode_row_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 3, 1, 3), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BsModeRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme2BsModeTable per the semantics\n of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efm_cu_pme2_b_reach_rate_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4))
if mibBuilder.loadTexts:
efmCuPme2BReachRateTable.setDescription('This table supports the definition of administrative custom\n spectral modes for 2BASE-TL PMEs, providing spectral\n limitations in addition to those specified by\n efmCuPme2BRegion.\n\n\n\n\n The spectral regulations in some countries (e.g., UK ANFP)\n limit the length of the loops for certain data rates.\n This table allows these country-specific limitations to be\n specified.\n\n Below is an example of this table for [ANFP]:\n ----------+-------+-------\n Equivalent MaxRate MaxRate\n Length PAM16 PAM32\n (m) (Kbps) (Kbps)\n ----------+-------+-------\n 975 2304 5696\n 1125 2304 5504\n 1275 2304 5120\n 1350 2304 4864\n 1425 2304 4544\n 1500 2304 4288\n 1575 2304 3968\n 1650 2304 3776\n 1725 2304 3520\n 1800 2304 3264\n 1875 2304 3072\n 1950 2048 2688\n 2100 1792 2368\n 2250 1536 0\n 2400 1408 0\n 2550 1280 0\n 2775 1152 0\n 2925 1152 0\n 3150 1088 0\n 3375 1024 0\n ----------+-------+-------\n\n Entries in this table referenced by an efmCuPme2BsMode\n instance MUST NOT be deleted.\n\n This table MUST be maintained in a persistent manner.')
efm_cu_pme2_b_reach_rate_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1)).setIndexNames((0, 'EFM-CU-MIB', 'efmCuPme2BsModeIndex'), (0, 'EFM-CU-MIB', 'efmCuPme2BReachRateIndex'))
if mibBuilder.loadTexts:
efmCuPme2BReachRateEntry.setDescription('Each entry specifies maximum 2BASE-TL PME data rates\n allowed for a certain equivalent loop length, when using\n\n\n\n 16-TCPAM or 32-TCPAM encoding.\n\n When a 2BASE-TL PME is initialized, its data rate MUST NOT\n exceed one of the following limitations:\n - the value of efmCuPme2BMaxDataRate\n - maximum data rate allowed by efmCuPme2BRegion and\n efmCuPme2BPower\n - maximum data rate for a given encoding specified in the\n efmCuPme2BsModeEntry, corresponding to the equivalent loop\n length, estimated by the PME\n\n It is RECOMMENDED that the efmCuPme2BEquivalentLength values\n are assigned in increasing order, starting from the minimum\n value.\n\n Entries may be created/deleted using the row creation/\n deletion mechanism via efmCuPme2ReachRateRowStatus.')
efm_cu_pme2_b_reach_rate_index = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 1), efm_profile_index())
if mibBuilder.loadTexts:
efmCuPme2BReachRateIndex.setDescription('2BASE-TL custom spectral mode Reach-Rate table index.\n This object is the unique index associated with each entry.')
efm_cu_pme2_b_equivalent_length = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 2), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 8192))).setUnits('m').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BEquivalentLength.setDescription("Maximum allowed equivalent loop's physical length in meters\n for the specified data rates.\n An equivalent loop is a hypothetical 26AWG (0.4mm) loop with a\n perfect square root attenuation characteristic, without any\n\n\n\n bridged taps.")
efm_cu_pme2_b_max_data_rate_pam16 = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 3), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(192, 5696)))).setUnits('Kbps').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BMaxDataRatePam16.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM16 encoding.\n The value of zero means that TC-PAM16 encoding should not be\n used at this distance.")
efm_cu_pme2_b_max_data_rate_pam32 = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 4), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(192, 5696)))).setUnits('Kbps').setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BMaxDataRatePam32.setDescription("Maximum data rate for a 2BASE-TL PME at the specified\n equivalent loop's length using TC-PAM32 encoding.\n The value of zero means that TC-PAM32 encoding should not be\n used at this distance.")
efm_cu_pme2_b_reach_rate_row_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 5, 4, 1, 5), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme2BReachRateRowStatus.setDescription("This object controls the creation, modification, or deletion\n of the associated entry in the efmCuPme2BReachRateTable per\n the semantics of RowStatus.\n\n If an 'active' entry is referenced via efmCuPme2BsMode\n instance(s), the entry MUST remain 'active'.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efm_cu_pme10_p = mib_identifier((1, 3, 6, 1, 2, 1, 167, 1, 2, 6))
efm_cu_pme10_p_profile_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1))
if mibBuilder.loadTexts:
efmCuPme10PProfileTable.setDescription('This table supports definitions of configuration profiles for\n 10PASS-TS PMEs.\n The first 22 entries in this table SHALL always be defined as\n follows (see 802.3ah Annex 62B.3, table 62B-1):\n -------+--------+----+---------+-----+-----+---------------\n Profile Bandplan UPBO BandNotch DRate URate Comment\n Index PSDMask# p# p# p# p#\n -------+--------+----+---------+-----+-----+---------------\n 1 1 3 2,6,10,11 20 20 default profile\n 2 13 5 0 20 20\n 3 1 1 0 20 20\n 4 16 0 0 100 100\n 5 16 0 0 70 50\n 6 6 0 0 50 10\n 7 17 0 0 30 30\n 8 8 0 0 30 5\n 9 4 0 0 25 25\n 10 4 0 0 15 15\n 11 23 0 0 10 10\n 12 23 0 0 5 5\n 13 16 0 2,5,9,11 100 100\n 14 16 0 2,5,9,11 70 50\n 15 6 0 2,6,10,11 50 10\n 16 17 0 2,5,9,11 30 30\n 17 8 0 2,6,10,11 30 5\n 18 4 0 2,6,10,11 25 25\n 19 4 0 2,6,10,11 15 15\n 20 23 0 2,5,9,11 10 10\n 21 23 0 2,5,9,11 5 5\n 22 30 0 0 200 50\n -------+--------+----+---------+-----+-----+---------------\n\n These default entries SHALL be created during agent\n initialization and MUST NOT be deleted.\n\n Entries following the first 22 can be dynamically created and\n deleted to provide custom administrative (configuration)\n profiles and automatic operating profiles.\n\n This table MUST be maintained in a persistent manner.')
efm_cu_pme10_p_profile_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1)).setIndexNames((0, 'EFM-CU-MIB', 'efmCuPme10PProfileIndex'))
if mibBuilder.loadTexts:
efmCuPme10PProfileEntry.setDescription("Each entry corresponds to a single 10PASS-TS PME profile.\n\n Each profile contains a set of parameters, used either for\n configuration or representation of a 10PASS-TS PME.\n In case a particular profile is referenced via the\n efmCuPmeAdminProfile object (or efmCuAdminProfile if\n efmCuPmeAdminProfile is zero), it represents the desired\n parameters for the 10PassTS-O PME initialization.\n If a profile is referenced via an efmCuPmeOperProfile object,\n it represents the current operating parameters of the PME.\n\n Profiles may be created/deleted using the row creation/\n deletion mechanism via efmCuPme10PProfileRowStatus. If an\n 'active' entry is referenced, the entry MUST remain 'active'\n until all references are removed.\n Default entries MUST NOT be removed.")
efm_cu_pme10_p_profile_index = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 1), efm_profile_index())
if mibBuilder.loadTexts:
efmCuPme10PProfileIndex.setDescription('10PASS-TS PME profile index.\n This object is the unique index associated with this profile.\n Entries in this table are referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile.')
efm_cu_pme10_p_profile_descr = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 2), snmp_admin_string()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PProfileDescr.setDescription('A textual string containing information about a 10PASS-TS PME\n profile. The string may include information about data rate\n and spectral limitations of this particular profile.')
efm_cu_pme10_p_bandplan_psd_msk_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30))).clone(namedValues=named_values(('profile1', 1), ('profile2', 2), ('profile3', 3), ('profile4', 4), ('profile5', 5), ('profile6', 6), ('profile7', 7), ('profile8', 8), ('profile9', 9), ('profile10', 10), ('profile11', 11), ('profile12', 12), ('profile13', 13), ('profile14', 14), ('profile15', 15), ('profile16', 16), ('profile17', 17), ('profile18', 18), ('profile19', 19), ('profile20', 20), ('profile21', 21), ('profile22', 22), ('profile23', 23), ('profile24', 24), ('profile25', 25), ('profile26', 26), ('profile27', 27), ('profile28', 28), ('profile29', 29), ('profile30', 30)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PBandplanPSDMskProfile.setDescription('The 10PASS-TS PME Bandplan and PSD Mask Profile, as specified\n in 802.3ah Annex 62A, table 62A-1. Possible values are:\n --------------+------------------------+------------+--------\n Profile Name PSD Mask Bands G.993.1\n 0/1/2/3/4/5 Bandplan\n --------------+------------------------+------------+--------\n profile1(1) T1.424 FTTCab.M1 x/D/U/D/U A\n profile2(2) T1.424 FTTEx.M1 x/D/U/D/U A\n profile3(3) T1.424 FTTCab.M2 x/D/U/D/U A\n profile4(4) T1.424 FTTEx.M2 x/D/U/D/U A\n profile5(5) T1.424 FTTCab.M1 D/D/U/D/U A\n profile6(6) T1.424 FTTEx.M1 D/D/U/D/U A\n profile7(7) T1.424 FTTCab.M2 D/D/U/D/U A\n profile8(8) T1.424 FTTEx.M2 D/D/U/D/U A\n profile9(9) T1.424 FTTCab.M1 U/D/U/D/x A\n profile10(10) T1.424 FTTEx.M1 U/D/U/D/x A\n profile11(11) T1.424 FTTCab.M2 U/D/U/D/x A\n profile12(12) T1.424 FTTEx.M2 U/D/U/D/x A\n profile13(13) TS 101 270-1 Pcab.M1.A x/D/U/D/U B\n profile14(14) TS 101 270-1 Pcab.M1.B x/D/U/D/U B\n profile15(15) TS 101 270-1 Pex.P1.M1 x/D/U/D/U B\n profile16(16) TS 101 270-1 Pex.P2.M1 x/D/U/D/U B\n profile17(17) TS 101 270-1 Pcab.M2 x/D/U/D/U B\n profile18(18) TS 101 270-1 Pex.P1.M2 x/D/U/D/U B\n profile19(19) TS 101 270-1 Pex.P2.M2 x/D/U/D/U B\n profile20(20) TS 101 270-1 Pcab.M1.A U/D/U/D/x B\n profile21(21) TS 101 270-1 Pcab.M1.B U/D/U/D/x B\n profile22(22) TS 101 270-1 Pex.P1.M1 U/D/U/D/x B\n profile23(23) TS 101 270-1 Pex.P2.M1 U/D/U/D/x B\n profile24(24) TS 101 270-1 Pcab.M2 U/D/U/D/x B\n profile25(25) TS 101 270-1 Pex.P1.M2 U/D/U/D/x B\n profile26(26) TS 101 270-1 Pex.P2.M2 U/D/U/D/x B\n profile27(27) G.993.1 F.1.2.1 x/D/U/D/U Annex F\n profile28(28) G.993.1 F.1.2.2 x/D/U/D/U Annex F\n profile29(29) G.993.1 F.1.2.3 x/D/U/D/U Annex F\n profile30(30) T1.424 FTTCab.M1 (ext.) x/D/U/D/U/D Annex A\n --------------+------------------------+------------+--------\n ')
efm_cu_pme10_pupbo_reference_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=named_values(('profile0', 0), ('profile1', 1), ('profile2', 2), ('profile3', 3), ('profile4', 4), ('profile5', 5), ('profile6', 6), ('profile7', 7), ('profile8', 8), ('profile9', 9)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PUPBOReferenceProfile.setDescription('The 10PASS-TS PME Upstream Power Back-Off (UPBO) Reference\n PSD Profile, as specified in 802.3 Annex 62A, table 62A-3.\n Possible values are:\n ------------+-----------------------------\n Profile Name Reference PSD\n ------------+-----------------------------\n profile0(0) no profile\n profile1(1) T1.424 Noise A M1\n profile2(2) T1.424 Noise A M2\n profile3(3) T1.424 Noise F M1\n profile4(4) T1.424 Noise F M2\n profile5(5) TS 101 270-1 Noise A&B\n profile6(6) TS 101 270-1 Noise C\n profile7(7) TS 101 270-1 Noise D\n profile8(8) TS 101 270-1 Noise E\n profile9(9) TS 101 270-1 Noise F\n ------------+-----------------------------\n ')
efm_cu_pme10_p_band_notch_profiles = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 5), bits().clone(namedValues=named_values(('profile0', 0), ('profile1', 1), ('profile2', 2), ('profile3', 3), ('profile4', 4), ('profile5', 5), ('profile6', 6), ('profile7', 7), ('profile8', 8), ('profile9', 9), ('profile10', 10), ('profile11', 11)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PBandNotchProfiles.setDescription('The 10PASS-TS PME Egress Control Band Notch Profile bitmap,\n as specified in 802.3 Annex 62A, table 62A-4. Possible values\n are:\n --------------+--------+------+------------+------+------\n Profile Name G.991.3 T1.424 TS 101 270-1 StartF EndF\n table table table (MHz) (MHz)\n --------------+--------+------+------------+------+------\n profile0(0) no profile\n profile1(1) F-5 #01 - - 1.810 1.825\n profile2(2) 6-2 15-1 17 1.810 2.000\n profile3(3) F-5 #02 - - 1.907 1.912\n profile4(4) F-5 #03 - - 3.500 3.575\n profile5(5) 6-2 - 17 3.500 3.800\n profile6(6) - 15-1 - 3.500 4.000\n profile7(7) F-5 #04 - - 3.747 3.754\n profile8(8) F-5 #05 - - 3.791 3.805\n profile9(9) 6-2 - 17 7.000 7.100\n profile10(10) F-5 #06 15-1 - 7.000 7.300\n profile11(11) 6-2 15-1 1 10.100 10.150\n --------------+--------+------+------------+------+------\n\n Any combination of profiles can be specified by ORing\n individual profiles, for example, a value of 0x2230 selects\n profiles 2, 6, 10, and 11.')
efm_cu_pme10_p_payload_d_rate_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(5, 10, 15, 20, 25, 30, 50, 70, 100, 140, 200))).clone(namedValues=named_values(('profile5', 5), ('profile10', 10), ('profile15', 15), ('profile20', 20), ('profile25', 25), ('profile30', 30), ('profile50', 50), ('profile70', 70), ('profile100', 100), ('profile140', 140), ('profile200', 200)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PPayloadDRateProfile.setDescription("The 10PASS-TS PME Downstream Payload Rate Profile, as\n\n\n\n specified in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n profile140(140) - 70 Mbps\n profile200(200) - 100 Mbps\n\n Each value represents a target for the PME's Downstream\n Payload Bitrate as seen at the MII. If the payload rate of\n the selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efm_cu_pme10_p_payload_u_rate_profile = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(5, 10, 15, 20, 25, 30, 50, 70, 100))).clone(namedValues=named_values(('profile5', 5), ('profile10', 10), ('profile15', 15), ('profile20', 20), ('profile25', 25), ('profile30', 30), ('profile50', 50), ('profile70', 70), ('profile100', 100)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PPayloadURateProfile.setDescription("The 10PASS-TS PME Upstream Payload Rate Profile, as specified\n in 802.3 Annex 62A. Possible values are:\n profile5(5) - 2.5 Mbps\n profile10(10) - 5 Mbps\n profile15(15) - 7.5 Mbps\n profile20(20) - 10 Mbps\n profile25(25) - 12.5 Mbps\n profile30(30) - 15 Mbps\n profile50(50) - 25 Mbps\n profile70(70) - 35 Mbps\n profile100(100) - 50 Mbps\n\n\n\n Each value represents a target for the PME's Upstream Payload\n Bitrate as seen at the MII. If the payload rate of the\n selected profile cannot be achieved based on the loop\n environment, bandplan, and PSD mask, the PME initialization\n SHALL fail.")
efm_cu_pme10_p_profile_row_status = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 1, 1, 8), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
efmCuPme10PProfileRowStatus.setDescription("This object controls creation, modification, or deletion of\n the associated entry in efmCuPme10PProfileTable per the\n semantics of RowStatus.\n\n If an active entry is referenced via efmCuAdminProfile or\n efmCuPmeAdminProfile, the entry MUST remain 'active' until\n all references are removed.\n\n An 'active' entry SHALL NOT be modified. In order to modify\n an existing entry, it MUST be taken out of service (by setting\n this object to 'notInService'), modified, and set 'active'\n again.")
efm_cu_pme10_p_status_table = mib_table((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2))
if mibBuilder.loadTexts:
efmCuPme10PStatusTable.setDescription('This table provides status information of EFMCu 10PASS-TS\n PMEs (modems).\n\n This table contains live data from the equipment. As such,\n it is NOT persistent.')
efm_cu_pme10_p_status_entry = mib_table_row((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
efmCuPme10PStatusEntry.setDescription('An entry in the EFMCu 10PASS-TS PME Status table.')
efm_cu_pme10_pfec_corrected_blocks = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 1), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPme10PFECCorrectedBlocks.setDescription('The number of received and corrected Forward Error Correction\n (FEC) codewords in this 10PASS-TS PME.\n\n This object maps to the aPMEFECCorrectedBlocks attribute in\n Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC correctable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_pme10_pfec_uncorrected_blocks = mib_table_column((1, 3, 6, 1, 2, 1, 167, 1, 2, 6, 2, 1, 2), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
efmCuPme10PFECUncorrectedBlocks.setDescription('The number of received uncorrectable FEC codewords in this\n 10PASS-TS PME.\n\n This object maps to the aPMEFECUncorrectableBlocks attribute\n in Clause 30.\n\n If a Clause 45 MDIO Interface to the PMA/PMD is present,\n then this object maps to the 10P FEC uncorrectable errors\n register.\n\n Discontinuities in the value of this counter can occur at\n re-initialization of the management system, and at other times\n\n\n\n as indicated by the value of ifCounterDiscontinuityTime,\n defined in IF-MIB.')
efm_cu_groups = mib_identifier((1, 3, 6, 1, 2, 1, 167, 2, 1))
efm_cu_compliances = mib_identifier((1, 3, 6, 1, 2, 1, 167, 2, 2))
efm_cu_basic_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 1)).setObjects(*(('EFM-CU-MIB', 'efmCuPAFSupported'), ('EFM-CU-MIB', 'efmCuAdminProfile'), ('EFM-CU-MIB', 'efmCuTargetDataRate'), ('EFM-CU-MIB', 'efmCuTargetSnrMgn'), ('EFM-CU-MIB', 'efmCuAdaptiveSpectra'), ('EFM-CU-MIB', 'efmCuPortSide'), ('EFM-CU-MIB', 'efmCuFltStatus')))
if mibBuilder.loadTexts:
efmCuBasicGroup.setDescription('A collection of objects representing management information\n common for all types of EFMCu ports.')
efm_cu_paf_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 2)).setObjects(*(('EFM-CU-MIB', 'efmCuPeerPAFSupported'), ('EFM-CU-MIB', 'efmCuPAFCapacity'), ('EFM-CU-MIB', 'efmCuPeerPAFCapacity'), ('EFM-CU-MIB', 'efmCuPAFAdminState'), ('EFM-CU-MIB', 'efmCuPAFDiscoveryCode'), ('EFM-CU-MIB', 'efmCuPAFRemoteDiscoveryCode'), ('EFM-CU-MIB', 'efmCuNumPMEs')))
if mibBuilder.loadTexts:
efmCuPAFGroup.setDescription('A collection of objects supporting OPTIONAL PME\n Aggregation Function (PAF) and PAF discovery in EFMCu ports.')
efm_cu_paf_errors_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 3)).setObjects(*(('EFM-CU-MIB', 'efmCuPAFInErrors'), ('EFM-CU-MIB', 'efmCuPAFInSmallFragments'), ('EFM-CU-MIB', 'efmCuPAFInLargeFragments'), ('EFM-CU-MIB', 'efmCuPAFInBadFragments'), ('EFM-CU-MIB', 'efmCuPAFInLostFragments'), ('EFM-CU-MIB', 'efmCuPAFInLostStarts'), ('EFM-CU-MIB', 'efmCuPAFInLostEnds'), ('EFM-CU-MIB', 'efmCuPAFInOverflows')))
if mibBuilder.loadTexts:
efmCuPAFErrorsGroup.setDescription('A collection of objects supporting OPTIONAL error counters\n of PAF on EFMCu ports.')
efm_cu_pme_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 4)).setObjects(*(('EFM-CU-MIB', 'efmCuPmeAdminProfile'), ('EFM-CU-MIB', 'efmCuPmeOperStatus'), ('EFM-CU-MIB', 'efmCuPmeFltStatus'), ('EFM-CU-MIB', 'efmCuPmeSubTypesSupported'), ('EFM-CU-MIB', 'efmCuPmeAdminSubType'), ('EFM-CU-MIB', 'efmCuPmeOperSubType'), ('EFM-CU-MIB', 'efmCuPAFRemoteDiscoveryCode'), ('EFM-CU-MIB', 'efmCuPmeOperProfile'), ('EFM-CU-MIB', 'efmCuPmeSnrMgn'), ('EFM-CU-MIB', 'efmCuPmePeerSnrMgn'), ('EFM-CU-MIB', 'efmCuPmeLineAtn'), ('EFM-CU-MIB', 'efmCuPmePeerLineAtn'), ('EFM-CU-MIB', 'efmCuPmeEquivalentLength'), ('EFM-CU-MIB', 'efmCuPmeTCCodingErrors'), ('EFM-CU-MIB', 'efmCuPmeTCCrcErrors'), ('EFM-CU-MIB', 'efmCuPmeThreshLineAtn'), ('EFM-CU-MIB', 'efmCuPmeThreshSnrMgn')))
if mibBuilder.loadTexts:
efmCuPmeGroup.setDescription('A collection of objects providing information about\n a 2BASE-TL/10PASS-TS PME.')
efm_cu_alarm_conf_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 5)).setObjects(*(('EFM-CU-MIB', 'efmCuThreshLowRate'), ('EFM-CU-MIB', 'efmCuLowRateCrossingEnable'), ('EFM-CU-MIB', 'efmCuPmeThreshLineAtn'), ('EFM-CU-MIB', 'efmCuPmeLineAtnCrossingEnable'), ('EFM-CU-MIB', 'efmCuPmeThreshSnrMgn'), ('EFM-CU-MIB', 'efmCuPmeSnrMgnCrossingEnable'), ('EFM-CU-MIB', 'efmCuPmeDeviceFaultEnable'), ('EFM-CU-MIB', 'efmCuPmeConfigInitFailEnable'), ('EFM-CU-MIB', 'efmCuPmeProtocolInitFailEnable')))
if mibBuilder.loadTexts:
efmCuAlarmConfGroup.setDescription('A collection of objects supporting configuration of alarm\n thresholds and notifications in EFMCu ports.')
efm_cu_notification_group = notification_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 6)).setObjects(*(('EFM-CU-MIB', 'efmCuLowRateCrossing'), ('EFM-CU-MIB', 'efmCuPmeLineAtnCrossing'), ('EFM-CU-MIB', 'efmCuPmeSnrMgnCrossing'), ('EFM-CU-MIB', 'efmCuPmeDeviceFault'), ('EFM-CU-MIB', 'efmCuPmeConfigInitFailure'), ('EFM-CU-MIB', 'efmCuPmeProtocolInitFailure')))
if mibBuilder.loadTexts:
efmCuNotificationGroup.setDescription('This group supports notifications of significant conditions\n associated with EFMCu ports.')
efm_cu_pme2_b_profile_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 7)).setObjects(*(('EFM-CU-MIB', 'efmCuPme2BProfileDescr'), ('EFM-CU-MIB', 'efmCuPme2BRegion'), ('EFM-CU-MIB', 'efmCuPme2BsMode'), ('EFM-CU-MIB', 'efmCuPme2BMinDataRate'), ('EFM-CU-MIB', 'efmCuPme2BMaxDataRate'), ('EFM-CU-MIB', 'efmCuPme2BPower'), ('EFM-CU-MIB', 'efmCuPme2BConstellation'), ('EFM-CU-MIB', 'efmCuPme2BProfileRowStatus'), ('EFM-CU-MIB', 'efmCuPme2BsModeDescr'), ('EFM-CU-MIB', 'efmCuPme2BsModeRowStatus'), ('EFM-CU-MIB', 'efmCuPme2BEquivalentLength'), ('EFM-CU-MIB', 'efmCuPme2BMaxDataRatePam16'), ('EFM-CU-MIB', 'efmCuPme2BMaxDataRatePam32'), ('EFM-CU-MIB', 'efmCuPme2BReachRateRowStatus')))
if mibBuilder.loadTexts:
efmCuPme2BProfileGroup.setDescription('A collection of objects that constitute a configuration\n\n\n\n profile for configuration of 2BASE-TL ports.')
efm_cu_pme10_p_profile_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 8)).setObjects(*(('EFM-CU-MIB', 'efmCuPme10PProfileDescr'), ('EFM-CU-MIB', 'efmCuPme10PBandplanPSDMskProfile'), ('EFM-CU-MIB', 'efmCuPme10PUPBOReferenceProfile'), ('EFM-CU-MIB', 'efmCuPme10PBandNotchProfiles'), ('EFM-CU-MIB', 'efmCuPme10PPayloadDRateProfile'), ('EFM-CU-MIB', 'efmCuPme10PPayloadURateProfile'), ('EFM-CU-MIB', 'efmCuPme10PProfileRowStatus')))
if mibBuilder.loadTexts:
efmCuPme10PProfileGroup.setDescription('A collection of objects that constitute a configuration\n profile for configuration of 10PASS-TS ports.')
efm_cu_pme10_p_status_group = object_group((1, 3, 6, 1, 2, 1, 167, 2, 1, 9)).setObjects(*(('EFM-CU-MIB', 'efmCuPme10PFECCorrectedBlocks'), ('EFM-CU-MIB', 'efmCuPme10PFECUncorrectedBlocks')))
if mibBuilder.loadTexts:
efmCuPme10PStatusGroup.setDescription('A collection of objects providing status information\n specific to 10PASS-TS PMEs.')
efm_cu_compliance = module_compliance((1, 3, 6, 1, 2, 1, 167, 2, 2, 1)).setObjects(*(('EFM-CU-MIB', 'efmCuBasicGroup'), ('EFM-CU-MIB', 'efmCuPmeGroup'), ('EFM-CU-MIB', 'efmCuAlarmConfGroup'), ('EFM-CU-MIB', 'efmCuNotificationGroup'), ('EFM-CU-MIB', 'efmCuPme2BProfileGroup'), ('EFM-CU-MIB', 'efmCuPme10PProfileGroup'), ('EFM-CU-MIB', 'efmCuPAFGroup'), ('EFM-CU-MIB', 'efmCuPAFErrorsGroup'), ('EFM-CU-MIB', 'efmCuPme10PStatusGroup')))
if mibBuilder.loadTexts:
efmCuCompliance.setDescription('The compliance statement for 2BASE-TL/10PASS-TS interfaces.\n Compliance with the following external compliance statements\n is REQUIRED:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-MIB ifCompliance3\n EtherLike-MIB dot3Compliance2\n MAU-MIB mauModIfCompl3\n\n Compliance with the following external compliance statements\n is OPTIONAL for implementations supporting PME Aggregation\n Function (PAF) with flexible cross-connect between the PCS\n\n\n\n and PME ports:\n\n MIB Module Compliance Statement\n ---------- --------------------\n IF-INVERTED-STACK-MIB ifInvCompliance\n IF-CAP-STACK-MIB ifCapStackCompliance')
mibBuilder.exportSymbols('EFM-CU-MIB', efmCuPmeEquivalentLength=efmCuPmeEquivalentLength, efmCuPme2BMinDataRate=efmCuPme2BMinDataRate, efmCuLowRateCrossing=efmCuLowRateCrossing, efmCuPme2BMaxDataRatePam16=efmCuPme2BMaxDataRatePam16, efmCuAdminProfile=efmCuAdminProfile, efmCuPme10PProfileRowStatus=efmCuPme10PProfileRowStatus, efmCuPortCapabilityTable=efmCuPortCapabilityTable, efmCuPmeCapabilityTable=efmCuPmeCapabilityTable, efmCuPortSide=efmCuPortSide, efmCuPmeOperSubType=efmCuPmeOperSubType, efmCuPmeSnrMgnCrossingEnable=efmCuPmeSnrMgnCrossingEnable, efmCuPmeSnrMgnCrossing=efmCuPmeSnrMgnCrossing, efmCuPme10PBandplanPSDMskProfile=efmCuPme10PBandplanPSDMskProfile, PYSNMP_MODULE_ID=efmCuMIB, efmCuPme10PFECCorrectedBlocks=efmCuPme10PFECCorrectedBlocks, efmCuPAFInBadFragments=efmCuPAFInBadFragments, efmCuThreshLowRate=efmCuThreshLowRate, efmCuPme10PStatusTable=efmCuPme10PStatusTable, efmCuGroups=efmCuGroups, efmCuPAFErrorsGroup=efmCuPAFErrorsGroup, efmCuPme2BReachRateRowStatus=efmCuPme2BReachRateRowStatus, efmCuPme10PStatusGroup=efmCuPme10PStatusGroup, efmCuPortStatusTable=efmCuPortStatusTable, efmCuPme10PPayloadURateProfile=efmCuPme10PPayloadURateProfile, EfmProfileIndex=EfmProfileIndex, efmCuPmeSnrMgn=efmCuPmeSnrMgn, efmCuPAFDiscoveryCode=efmCuPAFDiscoveryCode, efmCuTargetDataRate=efmCuTargetDataRate, efmCuPme10P=efmCuPme10P, efmCuPmeLineAtnCrossing=efmCuPmeLineAtnCrossing, efmCuPmeConfEntry=efmCuPmeConfEntry, efmCuPme2BsModeTable=efmCuPme2BsModeTable, efmCuPmeStatusEntry=efmCuPmeStatusEntry, efmCuPortNotifications=efmCuPortNotifications, efmCuCompliance=efmCuCompliance, efmCuPme10PProfileIndex=efmCuPme10PProfileIndex, efmCuPAFAdminState=efmCuPAFAdminState, efmCuPme10PPayloadDRateProfile=efmCuPme10PPayloadDRateProfile, efmCuNotificationGroup=efmCuNotificationGroup, efmCuPme2BProfileDescr=efmCuPme2BProfileDescr, efmCuPmeProtocolInitFailure=efmCuPmeProtocolInitFailure, efmCuObjects=efmCuObjects, efmCuPAFSupported=efmCuPAFSupported, efmCuBasicGroup=efmCuBasicGroup, efmCuPme2BsModeDescr=efmCuPme2BsModeDescr, efmCuPmeConfigInitFailEnable=efmCuPmeConfigInitFailEnable, efmCuPme2BPower=efmCuPme2BPower, efmCuPmeDeviceFaultEnable=efmCuPmeDeviceFaultEnable, efmCuPmeGroup=efmCuPmeGroup, efmCuAdaptiveSpectra=efmCuAdaptiveSpectra, efmCuPmeAdminSubType=efmCuPmeAdminSubType, efmCuPeerPAFSupported=efmCuPeerPAFSupported, efmCuCompliances=efmCuCompliances, efmCuPAFInOverflows=efmCuPAFInOverflows, efmCuPAFGroup=efmCuPAFGroup, efmCuPme2BProfileRowStatus=efmCuPme2BProfileRowStatus, efmCuPmeSubTypesSupported=efmCuPmeSubTypesSupported, efmCuMIB=efmCuMIB, efmCuPme2BProfileGroup=efmCuPme2BProfileGroup, efmCuPme2BMaxDataRatePam32=efmCuPme2BMaxDataRatePam32, efmCuPme=efmCuPme, efmCuPme2BProfileIndex=efmCuPme2BProfileIndex, efmCuPAFInSmallFragments=efmCuPAFInSmallFragments, efmCuPmeLineAtn=efmCuPmeLineAtn, EfmProfileIndexOrZero=EfmProfileIndexOrZero, efmCuPortStatusEntry=efmCuPortStatusEntry, efmCuPmeAdminProfile=efmCuPmeAdminProfile, efmCuPeerPAFCapacity=efmCuPeerPAFCapacity, efmCuConformance=efmCuConformance, efmCuPAFCapacity=efmCuPAFCapacity, efmCuPme2BEquivalentLength=efmCuPme2BEquivalentLength, efmCuPme2BProfileTable=efmCuPme2BProfileTable, efmCuTargetSnrMgn=efmCuTargetSnrMgn, efmCuPme2BReachRateEntry=efmCuPme2BReachRateEntry, efmCuPme10PUPBOReferenceProfile=efmCuPme10PUPBOReferenceProfile, efmCuPme2BConstellation=efmCuPme2BConstellation, efmCuPme10PProfileEntry=efmCuPme10PProfileEntry, efmCuPme2BMaxDataRate=efmCuPme2BMaxDataRate, efmCuAlarmConfGroup=efmCuAlarmConfGroup, efmCuPortCapabilityEntry=efmCuPortCapabilityEntry, efmCuLowRateCrossingEnable=efmCuLowRateCrossingEnable, efmCuPme10PBandNotchProfiles=efmCuPme10PBandNotchProfiles, EfmTruthValueOrUnknown=EfmTruthValueOrUnknown, efmCuPme2BsModeRowStatus=efmCuPme2BsModeRowStatus, efmCuPAFInLostStarts=efmCuPAFInLostStarts, efmCuPmeProtocolInitFailEnable=efmCuPmeProtocolInitFailEnable, efmCuPmeCapabilityEntry=efmCuPmeCapabilityEntry, efmCuPme2BReachRateIndex=efmCuPme2BReachRateIndex, efmCuPmeConfigInitFailure=efmCuPmeConfigInitFailure, efmCuPort=efmCuPort, efmCuNumPMEs=efmCuNumPMEs, efmCuPmeNotifications=efmCuPmeNotifications, efmCuPmePeerLineAtn=efmCuPmePeerLineAtn, efmCuPme2B=efmCuPme2B, efmCuPmeDeviceFault=efmCuPmeDeviceFault, efmCuPmeLineAtnCrossingEnable=efmCuPmeLineAtnCrossingEnable, efmCuPmeOperStatus=efmCuPmeOperStatus, efmCuPme10PFECUncorrectedBlocks=efmCuPme10PFECUncorrectedBlocks, efmCuPme2BProfileEntry=efmCuPme2BProfileEntry, efmCuPme10PProfileGroup=efmCuPme10PProfileGroup, efmCuPmeThreshSnrMgn=efmCuPmeThreshSnrMgn, efmCuFltStatus=efmCuFltStatus, efmCuPme2BsMode=efmCuPme2BsMode, efmCuPme2BRegion=efmCuPme2BRegion, efmCuPme10PStatusEntry=efmCuPme10PStatusEntry, efmCuPAFInErrors=efmCuPAFInErrors, efmCuPAFInLargeFragments=efmCuPAFInLargeFragments, efmCuPAFInLostFragments=efmCuPAFInLostFragments, efmCuPAFRemoteDiscoveryCode=efmCuPAFRemoteDiscoveryCode, efmCuPmeConfTable=efmCuPmeConfTable, efmCuPme2BReachRateTable=efmCuPme2BReachRateTable, efmCuPmeThreshLineAtn=efmCuPmeThreshLineAtn, efmCuPmeStatusTable=efmCuPmeStatusTable, efmCuPortConfEntry=efmCuPortConfEntry, efmCuPmeFltStatus=efmCuPmeFltStatus, efmCuPme2BsModeIndex=efmCuPme2BsModeIndex, efmCuPmePeerSnrMgn=efmCuPmePeerSnrMgn, efmCuPmeTCCrcErrors=efmCuPmeTCCrcErrors, efmCuPAFInLostEnds=efmCuPAFInLostEnds, EfmProfileIndexList=EfmProfileIndexList, efmCuPmeOperProfile=efmCuPmeOperProfile, efmCuPme10PProfileDescr=efmCuPme10PProfileDescr, efmCuPortConfTable=efmCuPortConfTable, efmCuPme10PProfileTable=efmCuPme10PProfileTable, efmCuPme2BsModeEntry=efmCuPme2BsModeEntry, efmCuPmeTCCodingErrors=efmCuPmeTCCodingErrors) |
# (c) 2021 Leon Luithlen
# This code is licensed under MIT license
def strongly_typed(*args, **kwargs):
stargs = args
stkwargs = kwargs
def type_strongly(func):
def wrapper(*args, **kwargs):
for arg, type_ in zip(args, stargs):
assert isinstance(arg,type_), f"{arg} should be of type {type_}"
for kw, arg in kwargs.items():
assert isinstance(arg, stkwargs[kw]), f"{kw} should be of type {stkwargs[kw]} but is of type {type(arg)}: {arg}"
return(func(*args, **kwargs))
return(wrapper)
return(type_strongly)
@strongly_typed(int, str, i=int, s=str)
def check_if_int_and_string(i, s):
if type(i) == int and type(s) == str:
print("hi")
else:
print("Not a number or not a string")
| def strongly_typed(*args, **kwargs):
stargs = args
stkwargs = kwargs
def type_strongly(func):
def wrapper(*args, **kwargs):
for (arg, type_) in zip(args, stargs):
assert isinstance(arg, type_), f'{arg} should be of type {type_}'
for (kw, arg) in kwargs.items():
assert isinstance(arg, stkwargs[kw]), f'{kw} should be of type {stkwargs[kw]} but is of type {type(arg)}: {arg}'
return func(*args, **kwargs)
return wrapper
return type_strongly
@strongly_typed(int, str, i=int, s=str)
def check_if_int_and_string(i, s):
if type(i) == int and type(s) == str:
print('hi')
else:
print('Not a number or not a string') |
# ==== Start of helper classes to be used by TriggerExtractorResultCollection ====
class DocumentPrediction(object):
def __init__(self, docid):
self.docid = docid
self.sentences = dict()
""":type: dict[str, SentencePrediction]"""
def to_json(self):
d = dict()
d['docid'] = self.docid
sentences = []
for sentence in self.sentences.values():
sentences.append(sentence.to_json())
d['sentences'] = sentences
return d
class SentencePrediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start # start offset
self.end = end # end offset
self.events = dict()
""":type: dict[str, EventPrediction]"""
self.event_event_relations = dict()
""":type: dict[tuple, SentencePrediction]"""
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
events = []
for event in self.events.values():
events.append(event.to_json())
d['events'] = events
event_event_relations = list()
for event_event_relation in self.event_event_relations.values():
event_event_relations.append(event_event_relation.to_json())
d['event_event_relations'] = event_event_relations
return d
class EventPrediction(object):
def __init__(self, trigger):
self.id = None
self.trigger = trigger # each EventPrediction is based on a single TriggerPrediction
""":type: TriggerPrediction"""
self.arguments = dict() # but can have multiple arguments
""":type: dict[str, ArgumentPrediction]"""
def to_json(self):
d = dict()
d['trigger'] = self.trigger.to_json()
args = []
for arg in self.arguments.values():
args.append(arg.to_json())
d['arguments'] = args
return d
class TriggerPrediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start
self.end = end
self.labels = dict() # we assume that a single span (start, end) might have multiple predictions
""":type: dict[str, float]"""
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
l = dict()
for label in self.labels:
l[label] = '%.4f' % (self.labels[label])
d['labels'] = l
return d
class ArgumentPrediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start
self.end = end
self.labels = dict()
""":type: dict[str, float]"""
self.em_id = None # an argument is usually based on an EntityMention, so we allow capturing of the EntityMention id here
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
d['em_id'] = self.em_id
l = dict()
for label in self.labels:
l[label] = '%.4f' % (self.labels[label])
d['labels'] = l
return d
class EventEventRelationPrediction(object):
def __init__(self,left_event:EventPrediction,right_event:EventPrediction):
self.left_event = left_event
self.right_event = right_event
self.labels = dict()
""":type: dict[str, float]"""
def to_json(self):
d = dict()
d['left_event'] = self.left_event.to_json()
d['right_event'] = self.right_event.to_json()
for label in self.labels:
d[label] = '%.4f' % (self.labels[label])
d['labels'] = d
return d
# ==== End of helper classes ====
| class Documentprediction(object):
def __init__(self, docid):
self.docid = docid
self.sentences = dict()
':type: dict[str, SentencePrediction]'
def to_json(self):
d = dict()
d['docid'] = self.docid
sentences = []
for sentence in self.sentences.values():
sentences.append(sentence.to_json())
d['sentences'] = sentences
return d
class Sentenceprediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start
self.end = end
self.events = dict()
':type: dict[str, EventPrediction]'
self.event_event_relations = dict()
':type: dict[tuple, SentencePrediction]'
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
events = []
for event in self.events.values():
events.append(event.to_json())
d['events'] = events
event_event_relations = list()
for event_event_relation in self.event_event_relations.values():
event_event_relations.append(event_event_relation.to_json())
d['event_event_relations'] = event_event_relations
return d
class Eventprediction(object):
def __init__(self, trigger):
self.id = None
self.trigger = trigger
':type: TriggerPrediction'
self.arguments = dict()
':type: dict[str, ArgumentPrediction]'
def to_json(self):
d = dict()
d['trigger'] = self.trigger.to_json()
args = []
for arg in self.arguments.values():
args.append(arg.to_json())
d['arguments'] = args
return d
class Triggerprediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start
self.end = end
self.labels = dict()
':type: dict[str, float]'
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
l = dict()
for label in self.labels:
l[label] = '%.4f' % self.labels[label]
d['labels'] = l
return d
class Argumentprediction(object):
def __init__(self, start, end):
self.id = None
self.text = None
self.start = start
self.end = end
self.labels = dict()
':type: dict[str, float]'
self.em_id = None
def to_json(self):
d = dict()
d['start'] = self.start
d['end'] = self.end
d['em_id'] = self.em_id
l = dict()
for label in self.labels:
l[label] = '%.4f' % self.labels[label]
d['labels'] = l
return d
class Eventeventrelationprediction(object):
def __init__(self, left_event: EventPrediction, right_event: EventPrediction):
self.left_event = left_event
self.right_event = right_event
self.labels = dict()
':type: dict[str, float]'
def to_json(self):
d = dict()
d['left_event'] = self.left_event.to_json()
d['right_event'] = self.right_event.to_json()
for label in self.labels:
d[label] = '%.4f' % self.labels[label]
d['labels'] = d
return d |
"""
https://leetcode.com/problems/reshape-the-matrix/
566. Reshape the Matrix (Easy)
"""
class Solution:
def matrixReshape(self, mat, r, c):
m = len(mat)
n = len(mat[0])
if m*n != r*c:
return mat
rLoc = 0
cLoc = 0
result = []
row = []
for i in mat:
for j in i:
row.append(j)
cLoc = cLoc + 1
if cLoc == c:
rLoc = rLoc + 1
cLoc = 0
result.append(row[:])
row = []
return result
| """
https://leetcode.com/problems/reshape-the-matrix/
566. Reshape the Matrix (Easy)
"""
class Solution:
def matrix_reshape(self, mat, r, c):
m = len(mat)
n = len(mat[0])
if m * n != r * c:
return mat
r_loc = 0
c_loc = 0
result = []
row = []
for i in mat:
for j in i:
row.append(j)
c_loc = cLoc + 1
if cLoc == c:
r_loc = rLoc + 1
c_loc = 0
result.append(row[:])
row = []
return result |
'''
A string with parentheses is well bracketed if all parentheses are matched: every opening bracket has a matching closing bracket and vice versa.
Write a Python function wellbracketed(s) that takes a string s containing parentheses and returns True if s is well bracketed and False otherwise.
Hint: Keep track of the nesting depth of brackets. Initially the depth is 0. The depth increases with each opening bracket and decreases with each closing bracket. What are the constraints on the value of the nesting depth for the string to be wellbracketed?
Here are some examples to show how your function should work.
>>> wellbracketed("22)")
False
>>> wellbracketed("(a+b)(a-b)")
True
>>> wellbracketed("(a(b+c)-d)((e+f)")
False
'''
def wellbracketed(s):
l = list(s)
depth = 0
for c in l:
if c == '(':
depth += 1
elif c == ')':
depth -= 1
if depth == 0:
return True
else:
return False
print(wellbracketed("22)"))
| """
A string with parentheses is well bracketed if all parentheses are matched: every opening bracket has a matching closing bracket and vice versa.
Write a Python function wellbracketed(s) that takes a string s containing parentheses and returns True if s is well bracketed and False otherwise.
Hint: Keep track of the nesting depth of brackets. Initially the depth is 0. The depth increases with each opening bracket and decreases with each closing bracket. What are the constraints on the value of the nesting depth for the string to be wellbracketed?
Here are some examples to show how your function should work.
>>> wellbracketed("22)")
False
>>> wellbracketed("(a+b)(a-b)")
True
>>> wellbracketed("(a(b+c)-d)((e+f)")
False
"""
def wellbracketed(s):
l = list(s)
depth = 0
for c in l:
if c == '(':
depth += 1
elif c == ')':
depth -= 1
if depth == 0:
return True
else:
return False
print(wellbracketed('22)')) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 29 16:51:16 2019
@author: linyizi
"""
| """
Created on Mon Apr 29 16:51:16 2019
@author: linyizi
""" |
# Models are decision tree
# Batandwa Mgutsi
# 12/03/2020
class DecisionCase:
"""A Decision case has a sentence and a set of two other decision cases to execute on yes and on no"""
"""answers by the user in case the DecisonCase requires input"""
sentence = None
requiresAnswer = True
yesCase = None
noCase = None
def __init__(self, sentence, requiresAnswer=True, yesCase=None, noCase=None):
self.sentence = sentence
self.yesCase = yesCase
self.noCase = noCase
self.requiresAnswer = requiresAnswer
def executeDecisionCase(decisionCase):
print(decisionCase.sentence)
if(decisionCase.requiresAnswer):
answer = input()
if(answer == 'yes' and decisionCase.yesCase != None):
executeDecisionCase(decisionCase.yesCase)
elif(answer == 'no' and decisionCase.noCase != None):
executeDecisionCase(decisionCase.noCase)
else:
print("Please enter a 'yes' or a 'no'")
executeDecisionCase(decisionCase)
# These are all the decison that have to be made
isBoy = DecisionCase(
sentence='Are you a boy?',
requiresAnswer=True,
yesCase=DecisionCase(
sentence='You are a boy!',
requiresAnswer=False,
),
noCase=DecisionCase(
sentence='MMM!! Are you a girl?',
requiresAnswer=True,
yesCase=DecisionCase(
sentence='You are a girl!',
requiresAnswer=False,
),
noCase=DecisionCase(
sentence='MMM! i am so confused right now!',
requiresAnswer=False
)
)
)
executeDecisionCase(isBoy)
| class Decisioncase:
"""A Decision case has a sentence and a set of two other decision cases to execute on yes and on no"""
'answers by the user in case the DecisonCase requires input'
sentence = None
requires_answer = True
yes_case = None
no_case = None
def __init__(self, sentence, requiresAnswer=True, yesCase=None, noCase=None):
self.sentence = sentence
self.yesCase = yesCase
self.noCase = noCase
self.requiresAnswer = requiresAnswer
def execute_decision_case(decisionCase):
print(decisionCase.sentence)
if decisionCase.requiresAnswer:
answer = input()
if answer == 'yes' and decisionCase.yesCase != None:
execute_decision_case(decisionCase.yesCase)
elif answer == 'no' and decisionCase.noCase != None:
execute_decision_case(decisionCase.noCase)
else:
print("Please enter a 'yes' or a 'no'")
execute_decision_case(decisionCase)
is_boy = decision_case(sentence='Are you a boy?', requiresAnswer=True, yesCase=decision_case(sentence='You are a boy!', requiresAnswer=False), noCase=decision_case(sentence='MMM!! Are you a girl?', requiresAnswer=True, yesCase=decision_case(sentence='You are a girl!', requiresAnswer=False), noCase=decision_case(sentence='MMM! i am so confused right now!', requiresAnswer=False)))
execute_decision_case(isBoy) |
class Solution:
def minCostClimbingStairs(self, cost):
"""
:type cost: List[int]
:rtype: int
"""
length = len(cost)
dp = [0 for x in range(0, length)]
dp[0] = cost[0]
dp[1] = cost[1]
for i in range(2, length):
# Remember to divided into two cases, if you get into the top of
# stair like case 1, you don't need to add cost into your dp, but
# in other cases, you need to do this, add cost into dp
if i == length - 1:
dp[i] = min(dp[i - 1], dp[i - 2] + cost[i])
else:
dp[i] = min(dp[i - 1] + cost[i], dp[i-2] + cost[i])
return dp[-1]
| class Solution:
def min_cost_climbing_stairs(self, cost):
"""
:type cost: List[int]
:rtype: int
"""
length = len(cost)
dp = [0 for x in range(0, length)]
dp[0] = cost[0]
dp[1] = cost[1]
for i in range(2, length):
if i == length - 1:
dp[i] = min(dp[i - 1], dp[i - 2] + cost[i])
else:
dp[i] = min(dp[i - 1] + cost[i], dp[i - 2] + cost[i])
return dp[-1] |
PLURAL_KEYS = (
"view",
"measure",
"dimension",
"dimension_group",
"filter",
"access_filter",
"bind_filters",
"map_layer",
"parameter",
"set",
"column",
"derived_column",
"include",
"explore",
"link",
"when",
"allowed_value",
"named_value_format",
"join",
"datagroup",
"access_grant",
"sql_step",
"sql_where",
"action",
"param",
"form_param",
"option",
"user_attribute_param",
)
EXPR_BLOCK_KEYS = (
"expression_custom_filter",
"html",
"sql_trigger_value",
"sql_table_name",
"sql_distinct_key",
"sql_start",
"sql_always_having",
"sql_always_where",
"sql_trigger",
"sql_foreign_key",
"sql_where",
"sql_end",
"sql_create",
"sql_latitude",
"sql_longitude",
"sql_step",
"sql_on",
"sql",
)
QUOTED_LITERAL_KEYS = (
"label",
"view_label",
"group_label",
"group_item_label",
"suggest_persist_for",
"default_value",
"direction",
"value_format",
"name",
"url",
"icon_url",
"form_url",
"default",
"tags",
"value",
"description",
"sortkeys",
"indexes",
"partition_keys",
"connection",
"include",
"max_cache_age",
"allowed_values",
"timezone",
"persist_for",
"cluster_keys",
"distribution",
"extents_json_url",
"feature_key",
"file",
"property_key",
"property_label_key",
"else",
)
KEYS_WITH_NAME_FIELDS = ("user_attribute_param", "param", "form_param", "option")
| plural_keys = ('view', 'measure', 'dimension', 'dimension_group', 'filter', 'access_filter', 'bind_filters', 'map_layer', 'parameter', 'set', 'column', 'derived_column', 'include', 'explore', 'link', 'when', 'allowed_value', 'named_value_format', 'join', 'datagroup', 'access_grant', 'sql_step', 'sql_where', 'action', 'param', 'form_param', 'option', 'user_attribute_param')
expr_block_keys = ('expression_custom_filter', 'html', 'sql_trigger_value', 'sql_table_name', 'sql_distinct_key', 'sql_start', 'sql_always_having', 'sql_always_where', 'sql_trigger', 'sql_foreign_key', 'sql_where', 'sql_end', 'sql_create', 'sql_latitude', 'sql_longitude', 'sql_step', 'sql_on', 'sql')
quoted_literal_keys = ('label', 'view_label', 'group_label', 'group_item_label', 'suggest_persist_for', 'default_value', 'direction', 'value_format', 'name', 'url', 'icon_url', 'form_url', 'default', 'tags', 'value', 'description', 'sortkeys', 'indexes', 'partition_keys', 'connection', 'include', 'max_cache_age', 'allowed_values', 'timezone', 'persist_for', 'cluster_keys', 'distribution', 'extents_json_url', 'feature_key', 'file', 'property_key', 'property_label_key', 'else')
keys_with_name_fields = ('user_attribute_param', 'param', 'form_param', 'option') |
A = 26
MOD = 1_000_000_007
def shortPalindrome(s):
c1 = [0] * A
c2 = [[0] * A for _ in range(A)]
c3 = [0] * A
res = 0
for i in (ord(c) - 97 for c in s):
res = (res + c3[i]) % MOD
for j in range(A):
c3[j] += c2[j][i]
for j in range(A):
c2[j][i] += c1[j]
c1[i] += 1
return res
print(shortPalindrome(input()))
| a = 26
mod = 1000000007
def short_palindrome(s):
c1 = [0] * A
c2 = [[0] * A for _ in range(A)]
c3 = [0] * A
res = 0
for i in (ord(c) - 97 for c in s):
res = (res + c3[i]) % MOD
for j in range(A):
c3[j] += c2[j][i]
for j in range(A):
c2[j][i] += c1[j]
c1[i] += 1
return res
print(short_palindrome(input())) |
"""Exceptions for downtoearth.
These are helpers provided so that you can raise proper HTTP code errors from your API.
Usage:
from downtoearth.exceptions import NotFoundException
raise NotFoundException('your princess is in another castle')
"""
class BadRequestException(Exception):
def __init__(self, msg):
prefix = '[Bad Request]'
super(BadRequestException, self).__init__(prefix + ' ' + msg)
class ConflictException(Exception):
def __init__(self, msg):
prefix = '[Conflict]'
super(ConflictException, self).__init__(prefix + ' ' + msg)
class InternalServerErrorException(Exception):
def __init__(self, msg):
prefix = '[Internal Server Error]'
super(InternalServerErrorException, self).__init__(prefix + ' ' + msg)
class NotFoundException(Exception):
def __init__(self, msg):
prefix = '[Not Found]'
super(NotFoundException, self).__init__(prefix + ' ' + msg)
class NotImplementedException(Exception):
def __init__(self, msg):
prefix = '[Not Implemented]'
super(NotImplementedException, self).__init__(prefix + ' ' + msg)
| """Exceptions for downtoearth.
These are helpers provided so that you can raise proper HTTP code errors from your API.
Usage:
from downtoearth.exceptions import NotFoundException
raise NotFoundException('your princess is in another castle')
"""
class Badrequestexception(Exception):
def __init__(self, msg):
prefix = '[Bad Request]'
super(BadRequestException, self).__init__(prefix + ' ' + msg)
class Conflictexception(Exception):
def __init__(self, msg):
prefix = '[Conflict]'
super(ConflictException, self).__init__(prefix + ' ' + msg)
class Internalservererrorexception(Exception):
def __init__(self, msg):
prefix = '[Internal Server Error]'
super(InternalServerErrorException, self).__init__(prefix + ' ' + msg)
class Notfoundexception(Exception):
def __init__(self, msg):
prefix = '[Not Found]'
super(NotFoundException, self).__init__(prefix + ' ' + msg)
class Notimplementedexception(Exception):
def __init__(self, msg):
prefix = '[Not Implemented]'
super(NotImplementedException, self).__init__(prefix + ' ' + msg) |
class Solution:
def isPalindrome(self, x: int) -> bool:
i = 0
str_x = str(x)
n = len(str_x)
while i < n-i-1:
if str_x[i] != str_x[n-i-1]:
return False
i += 1
return True | class Solution:
def is_palindrome(self, x: int) -> bool:
i = 0
str_x = str(x)
n = len(str_x)
while i < n - i - 1:
if str_x[i] != str_x[n - i - 1]:
return False
i += 1
return True |
"""2017 Advent of Code, Day 2"""
with open("input", "r+") as file:
puzzle_input = file.readlines()
SPREADSHEET = []
CHECKSUM = 0
CHECKSUM_2 = 0
for row in puzzle_input:
SPREADSHEET.append([int(value) for value in row.strip().split()])
for row in SPREADSHEET:
row.sort()
CHECKSUM += row[-1] - row[0]
for index, value in enumerate(row):
for second_index, second_value in enumerate(row):
if index != second_index and not value % second_value:
CHECKSUM_2 += value // second_value
print(CHECKSUM, CHECKSUM_2) | """2017 Advent of Code, Day 2"""
with open('input', 'r+') as file:
puzzle_input = file.readlines()
spreadsheet = []
checksum = 0
checksum_2 = 0
for row in puzzle_input:
SPREADSHEET.append([int(value) for value in row.strip().split()])
for row in SPREADSHEET:
row.sort()
checksum += row[-1] - row[0]
for (index, value) in enumerate(row):
for (second_index, second_value) in enumerate(row):
if index != second_index and (not value % second_value):
checksum_2 += value // second_value
print(CHECKSUM, CHECKSUM_2) |
class Solution:
def getSkyline(self, buildings: [[int]]) -> [[int]]:
if not buildings:
return []
if len(buildings) == 1:
return [[buildings[0][0], buildings[0][2]], [buildings[0][1], 0]]
mid = len(buildings) // 2
left = self.getSkyline(buildings[:mid])
right = self.getSkyline(buildings[mid:])
return self.merge(left, right)
def merge(self, left, right):
lh = rh = l = r = 0
res = []
while l < len(left) and r < len(right):
if left[l][0] < right[r][0]:
cp = [left[l][0], max(left[l][1], rh)]
lh = left[l][1]
l += 1
elif left[l][0] > right[r][0]:
cp = [right[r][0], max(right[r][1], lh)]
rh = right[r][1]
r += 1
else:
cp = [left[l][0], max(left[l][1], right[r][1])]
lh, rh = left[l][1], right[r][1]
l += 1
r += 1
if len(res) == 0 or res[-1][1] != cp[1]:
res.append(cp)
res += left[l:] + right[r:]
return res
| class Solution:
def get_skyline(self, buildings: [[int]]) -> [[int]]:
if not buildings:
return []
if len(buildings) == 1:
return [[buildings[0][0], buildings[0][2]], [buildings[0][1], 0]]
mid = len(buildings) // 2
left = self.getSkyline(buildings[:mid])
right = self.getSkyline(buildings[mid:])
return self.merge(left, right)
def merge(self, left, right):
lh = rh = l = r = 0
res = []
while l < len(left) and r < len(right):
if left[l][0] < right[r][0]:
cp = [left[l][0], max(left[l][1], rh)]
lh = left[l][1]
l += 1
elif left[l][0] > right[r][0]:
cp = [right[r][0], max(right[r][1], lh)]
rh = right[r][1]
r += 1
else:
cp = [left[l][0], max(left[l][1], right[r][1])]
(lh, rh) = (left[l][1], right[r][1])
l += 1
r += 1
if len(res) == 0 or res[-1][1] != cp[1]:
res.append(cp)
res += left[l:] + right[r:]
return res |
class Solution:
def isValidSudoku(self, board):
"""
:type board: List[List[str]]
:rtype: bool
"""
def valid(sub):
nums = [item for item in sub if item.isdigit()]
return len(set(nums)) == len(nums)
def check_row():
return all(valid(row) for row in board)
def check_col():
return all(valid(col) for col in zip(*board))
def check_sub():
return all(valid([board[r + dr][c + dc]
for dr in range(3) for dc in range(3)])
for r, c in itertools.product((0, 3, 6), repeat=2))
return check_row() and check_col() and check_sub() | class Solution:
def is_valid_sudoku(self, board):
"""
:type board: List[List[str]]
:rtype: bool
"""
def valid(sub):
nums = [item for item in sub if item.isdigit()]
return len(set(nums)) == len(nums)
def check_row():
return all((valid(row) for row in board))
def check_col():
return all((valid(col) for col in zip(*board)))
def check_sub():
return all((valid([board[r + dr][c + dc] for dr in range(3) for dc in range(3)]) for (r, c) in itertools.product((0, 3, 6), repeat=2)))
return check_row() and check_col() and check_sub() |
class Node (object):
def __init__(self, leaf, num_spaces=4):
self.name = leaf[0]
self.num_spaces = num_spaces
leaves = leaf[1:]
if len(leaves):
self.leaves = [Node(leaves, num_spaces)]
else:
self.leaves = None
# Returns true when the leaves are added to this branch. False, otherwise.
def add(self, leaves):
if leaves[0] != self.name: return False
leaves = leaves[1:]
if not len(leaves): return False
for leaf in self.leaves:
if leaf.add(leaves): return True
self.leaves.append(Node(leaves, self.num_spaces))
return True
def generate(self, level):
spaces = (level * self.num_spaces) * " "
if not self.leaves:
return spaces + self.name
blocks = [leaf.generate(level+1) for leaf in self.leaves]
return "{}{} {{\n{}\n{}}}".format(spaces, self.name, "\n".join(blocks), spaces)
class GradleConfigBuilder (object):
def __init__(self, tab_space=4, source=None, filepath=None):
self.tab_space = tab_space
self.registry = []
if source:
self.load_source(source)
elif filepath:
self.load_file(filepath)
#
# Load a config from source.
#
# When loading from source, it expects every command to be on its own line.
# Having commands like 'dependencies {\n command; }' are not allowed. But
# 'dependencies {\n command \n}' are allowed.
#
def load_source(self, source):
paths = self.get_paths(source)
for path in paths:
self.add(*path)
def load_file(self, filepath):
fh = open(filepath, "r")
source = fh.read()
fh.close()
self.load_source(source)
def get_paths(self, source):
# Create tuples that will then be added.
nodes = []
paths = []
for line in source.split("\n"):
if "{" in line and "}" in line:
nodes.append(line.strip())
paths.append(nodes[:])
nodes.pop()
elif "{" in line:
pos = line.find("}")
nodes.append(line[:pos].strip())
elif "}" in line:
nodes.pop()
elif len(line.strip()) and line.strip()[0:2] != "//":
nodes.append(line.strip())
paths.append(nodes[:])
nodes.pop()
return paths
def add(self, *path):
new_entry = list(path)
for entry in self.registry:
if new_entry == entry: return
self.registry.append(new_entry)
def insert(self, at_idx, *path):
new_entry = list(path)
if not self.registry:
self.registry.append(new_entry)
return
prev_entry = None
current_idx = 0
idx = 0
for entry in self.registry:
if prev_entry is None:
prev_entry = entry
elif prev_entry[0] != entry[0]:
# At the very end of this group. Now add the entry.
if current_idx == at_idx: break
current_idx += 1
# Insert the new entry if the entry occupying the index
# is not of the same group. Otherwise, wait until the
# last entry in the group has been added.
if current_idx == at_idx and new_entry[0] != entry[0]:
break
prev_entry = entry
idx += 1
self.registry.insert(idx, new_entry)
def after(self, after_entry, *path):
new_entry = list(path)
for idx, entry in enumerate(self.registry):
if entry == after_entry:
next_idx = idx + 1
# Already exists.
if next_idx < len(self.registry) and self.registry[next_idx] == new_entry:
return
self.registry.insert(next_idx, new_entry)
return
def replace(self, subject, replacement):
registry = []
for entry in self.registry[:]:
for idx, item in enumerate(entry[:]):
if subject in item:
item = item.replace(subject, str(replacement))
entry[idx] = item
registry.append(entry)
self.registry = registry
def get_nodes(self):
def add_node(nodes, entry):
for node in nodes:
if node.add(entry):
return True
return False
nodes = []
for entry in self.registry:
if not add_node(nodes, entry):
nodes.append(Node(entry))
return nodes
def generate(self):
blocks = []
for node in self.get_nodes():
blocks.append(node.generate(0))
return "\n\n".join(blocks)
def save(self, filepath):
fh = open(filepath, "w")
fh.write(self.generate())
fh.close()
| class Node(object):
def __init__(self, leaf, num_spaces=4):
self.name = leaf[0]
self.num_spaces = num_spaces
leaves = leaf[1:]
if len(leaves):
self.leaves = [node(leaves, num_spaces)]
else:
self.leaves = None
def add(self, leaves):
if leaves[0] != self.name:
return False
leaves = leaves[1:]
if not len(leaves):
return False
for leaf in self.leaves:
if leaf.add(leaves):
return True
self.leaves.append(node(leaves, self.num_spaces))
return True
def generate(self, level):
spaces = level * self.num_spaces * ' '
if not self.leaves:
return spaces + self.name
blocks = [leaf.generate(level + 1) for leaf in self.leaves]
return '{}{} {{\n{}\n{}}}'.format(spaces, self.name, '\n'.join(blocks), spaces)
class Gradleconfigbuilder(object):
def __init__(self, tab_space=4, source=None, filepath=None):
self.tab_space = tab_space
self.registry = []
if source:
self.load_source(source)
elif filepath:
self.load_file(filepath)
def load_source(self, source):
paths = self.get_paths(source)
for path in paths:
self.add(*path)
def load_file(self, filepath):
fh = open(filepath, 'r')
source = fh.read()
fh.close()
self.load_source(source)
def get_paths(self, source):
nodes = []
paths = []
for line in source.split('\n'):
if '{' in line and '}' in line:
nodes.append(line.strip())
paths.append(nodes[:])
nodes.pop()
elif '{' in line:
pos = line.find('}')
nodes.append(line[:pos].strip())
elif '}' in line:
nodes.pop()
elif len(line.strip()) and line.strip()[0:2] != '//':
nodes.append(line.strip())
paths.append(nodes[:])
nodes.pop()
return paths
def add(self, *path):
new_entry = list(path)
for entry in self.registry:
if new_entry == entry:
return
self.registry.append(new_entry)
def insert(self, at_idx, *path):
new_entry = list(path)
if not self.registry:
self.registry.append(new_entry)
return
prev_entry = None
current_idx = 0
idx = 0
for entry in self.registry:
if prev_entry is None:
prev_entry = entry
elif prev_entry[0] != entry[0]:
if current_idx == at_idx:
break
current_idx += 1
if current_idx == at_idx and new_entry[0] != entry[0]:
break
prev_entry = entry
idx += 1
self.registry.insert(idx, new_entry)
def after(self, after_entry, *path):
new_entry = list(path)
for (idx, entry) in enumerate(self.registry):
if entry == after_entry:
next_idx = idx + 1
if next_idx < len(self.registry) and self.registry[next_idx] == new_entry:
return
self.registry.insert(next_idx, new_entry)
return
def replace(self, subject, replacement):
registry = []
for entry in self.registry[:]:
for (idx, item) in enumerate(entry[:]):
if subject in item:
item = item.replace(subject, str(replacement))
entry[idx] = item
registry.append(entry)
self.registry = registry
def get_nodes(self):
def add_node(nodes, entry):
for node in nodes:
if node.add(entry):
return True
return False
nodes = []
for entry in self.registry:
if not add_node(nodes, entry):
nodes.append(node(entry))
return nodes
def generate(self):
blocks = []
for node in self.get_nodes():
blocks.append(node.generate(0))
return '\n\n'.join(blocks)
def save(self, filepath):
fh = open(filepath, 'w')
fh.write(self.generate())
fh.close() |
# isr1.py - Timer to activate units in a cycle
# The 7-segment units are controlled one-by one in a cycle, using a timer interrupt for consistent light output.
# Model 1: every timer interrupt, the control switches from one unit to the next.
# User configuration
framebuf = "ABCD" # User configuration: desired content on the 7-segment units
# Static system configuration
TIMER_MS = 5 # Static system configuration: timer fire rate
UNITCOUNT = 4 # Static system configuration: number of 7-segment units
assert TIMER_MS>=1 # Depends on CPU clock speed but should not too low or the CPU load becomes to high.
assert TIMER_MS*UNITCOUNT<=20 # Refresh time should not be too long; refresh frequencies above 50Hz cause visual flicker.
assert UNITCOUNT==len(framebuf) # frame buffer content matches UNITCOUNT
# ISR state (private)
_unit = UNITCOUNT-1 # ISR state: the 7-segment unit currently under control
# Hardware state (private)
_rows = '?' # Hardware state: control of the rows (LED segments of the units)
_column= '?' # Hardware state: control of the column (the "common" pin of the units)
# Helper to visualize the result
_unitlog = ""
_rowslog = ""
_columnlog = ""
def log(sep=None) :
global _unitlog, _rowslog, _columnlog
global _slot, _unit, _rows, _column
if sep :
_unitlog += sep
_rowslog += sep
_columnlog+= sep
_unitlog += chr(_unit+48)
_rowslog += _rows
_columnlog+= _column
def isr() :
global _unit, _rows, _column
sep = None
# Timer expired: control next unit
_column = '-'
_unit += 1
# Wrap around the unit
if _unit>=UNITCOUNT :
_unit = 0
sep = '|'
# New unit under control
_rows = framebuf[_unit]
_column = chr(_unit+48)
log(sep)
for interrupt in range(UNITCOUNT+11) :
isr()
print( f"user : content '{framebuf}'")
print( f"system: frame is {UNITCOUNT} ISR ticks of {TIMER_MS} ms, one per 7-segment unit")
print()
print( f"unit : {_unitlog}")
print( f"rows : {_rowslog}")
print( f"column: {_columnlog}")
print()
print( "Every ISR tick, the rows and column of a (next) unit are powered")
# user : content 'ABCD'
# system: frame is 4 ISR ticks of 5 ms, one per 7-segment unit
#
# unit : |0123|0123|0123|012
# rows : |ABCD|ABCD|ABCD|ABC
# column: |0123|0123|0123|012
#
# Every ISR tick, the rows and column of a (next) unit are powered | framebuf = 'ABCD'
timer_ms = 5
unitcount = 4
assert TIMER_MS >= 1
assert TIMER_MS * UNITCOUNT <= 20
assert UNITCOUNT == len(framebuf)
_unit = UNITCOUNT - 1
_rows = '?'
_column = '?'
_unitlog = ''
_rowslog = ''
_columnlog = ''
def log(sep=None):
global _unitlog, _rowslog, _columnlog
global _slot, _unit, _rows, _column
if sep:
_unitlog += sep
_rowslog += sep
_columnlog += sep
_unitlog += chr(_unit + 48)
_rowslog += _rows
_columnlog += _column
def isr():
global _unit, _rows, _column
sep = None
_column = '-'
_unit += 1
if _unit >= UNITCOUNT:
_unit = 0
sep = '|'
_rows = framebuf[_unit]
_column = chr(_unit + 48)
log(sep)
for interrupt in range(UNITCOUNT + 11):
isr()
print(f"user : content '{framebuf}'")
print(f'system: frame is {UNITCOUNT} ISR ticks of {TIMER_MS} ms, one per 7-segment unit')
print()
print(f'unit : {_unitlog}')
print(f'rows : {_rowslog}')
print(f'column: {_columnlog}')
print()
print('Every ISR tick, the rows and column of a (next) unit are powered') |
letters = {}
for c in input():
if c in letters:
letters[c] += 1
else:
letters[c] = 1
max_double = max(letters.values())
if max_double == 1:
print(len(letters))
for l in letters:
print(l)
exit(0)
if list(letters.values()).count(max_double) == 1:
print(1)
for l, k in letters.items():
print(l*k, end='')
print()
exit(0)
ans1 = ""
found_first = False
ans2 = ""
found_second = False
for l, k in letters.items():
if k == max_double and not found_first:
ans1 += l*k
found_first = True
continue
if k == max_double and found_first and not found_second:
ans2 += l*k
found_second = True
continue
if k == max_double and found_first and found_second:
ans1 += l
ans2 += l*(k-1)
continue
if k != max_double:
ans1 += l*k
print(2)
print(ans1)
print(ans2)
| letters = {}
for c in input():
if c in letters:
letters[c] += 1
else:
letters[c] = 1
max_double = max(letters.values())
if max_double == 1:
print(len(letters))
for l in letters:
print(l)
exit(0)
if list(letters.values()).count(max_double) == 1:
print(1)
for (l, k) in letters.items():
print(l * k, end='')
print()
exit(0)
ans1 = ''
found_first = False
ans2 = ''
found_second = False
for (l, k) in letters.items():
if k == max_double and (not found_first):
ans1 += l * k
found_first = True
continue
if k == max_double and found_first and (not found_second):
ans2 += l * k
found_second = True
continue
if k == max_double and found_first and found_second:
ans1 += l
ans2 += l * (k - 1)
continue
if k != max_double:
ans1 += l * k
print(2)
print(ans1)
print(ans2) |
#Generate Christmas Tree Pattern
# Generating Triangle Shape
def triangleShape(n):
for i in range(n):
for j in range(n-i):
print(' ', end=' ')
for k in range(2*i+1):
print('*',end=' ')
print()
# Generating Pole Shape
def poleShape(n):
for i in range(n):
for j in range(n-1):
print(' ', end=' ')
print('* * *')
# Input and Function Call
#row = int(input('Enter number of rows: '))
triangleShape(10)
triangleShape(10)
triangleShape(10)
poleShape(10) | def triangle_shape(n):
for i in range(n):
for j in range(n - i):
print(' ', end=' ')
for k in range(2 * i + 1):
print('*', end=' ')
print()
def pole_shape(n):
for i in range(n):
for j in range(n - 1):
print(' ', end=' ')
print('* * *')
triangle_shape(10)
triangle_shape(10)
triangle_shape(10)
pole_shape(10) |
"""A set of function(s) that are used for estimating frame per second (fps).
These function(s) often receive an inference time, perform some calculation on it.
The function(s) do return a fps value.
"""
def convert_infr_time_to_fps(infr_time: float) -> int:
# Gets the time of inference (infr_time) and returns Frames Per Second (fps)
fps = int(1.0 / infr_time)
return fps
| """A set of function(s) that are used for estimating frame per second (fps).
These function(s) often receive an inference time, perform some calculation on it.
The function(s) do return a fps value.
"""
def convert_infr_time_to_fps(infr_time: float) -> int:
fps = int(1.0 / infr_time)
return fps |
class Node():
"""Building Block of Linked List."""
def __init__(self, data):
"""Initialize Node.
Args:
data: The data to be stored.
"""
self.data = data
self.next = None
def __str__(self):
"""String representation of Node."""
return "({}, {})".format(self.data, self.next)
def __repr__(self):
"""Representation of Node."""
return "pyDS.linked_list.Node({}, {})".format(self.data, self.next)
class LinkedList():
"""An implementation of the Linked List data structure."""
def __init__(self):
"""Initialize Linked List."""
self.head = None
def __repr__(self):
"""Representation of Linked List."""
return "pyDS.linked_list.LinkedList({})".format(self.head)
def __iter__(self):
"""Iterate through the Linked List.
Returns:
Generator object.
"""
ptr = self.head
while (ptr):
yield ptr.data
ptr = ptr.next
def __reversed__(self):
"""Reverse the Linked List."""
self.reverse()
def push(self, item):
"""Add item to the front of the Linked List.
Args:
item: The item to be inserted.
"""
new_node = Node(item)
new_node.next = self.head
self.head = new_node
def append(self, item):
"""Add item to the end of the Linked List.
Args:
item: The item to be inserted.
"""
new_node = Node(item)
if self.head is None:
self.head = new_node
return
ptr = self.head
while (ptr.next):
ptr = ptr.next
ptr.next = new_node
def delete(self, item):
"""Delete an item from the Linked List."""
if self.head is None:
raise IndexError('Empty Linked List')
elif self.head.data == item:
self.head = self.head.next
return
temp = self.head
prev = None
while (temp):
if temp.data == item:
break
prev = temp
temp = temp.next
if temp is None:
raise ValueError('Item {} not in Linked List'.format(item))
else:
prev.next = temp.next
def reverse(self):
"""Reverse the items of the Linked List."""
current_ptr = self.head
prev_ptr = None
while current_ptr:
next_ptr = current_ptr.next
current_ptr.next = prev_ptr
prev_ptr = current_ptr
current_ptr = next_ptr
self.head = prev_ptr
| class Node:
"""Building Block of Linked List."""
def __init__(self, data):
"""Initialize Node.
Args:
data: The data to be stored.
"""
self.data = data
self.next = None
def __str__(self):
"""String representation of Node."""
return '({}, {})'.format(self.data, self.next)
def __repr__(self):
"""Representation of Node."""
return 'pyDS.linked_list.Node({}, {})'.format(self.data, self.next)
class Linkedlist:
"""An implementation of the Linked List data structure."""
def __init__(self):
"""Initialize Linked List."""
self.head = None
def __repr__(self):
"""Representation of Linked List."""
return 'pyDS.linked_list.LinkedList({})'.format(self.head)
def __iter__(self):
"""Iterate through the Linked List.
Returns:
Generator object.
"""
ptr = self.head
while ptr:
yield ptr.data
ptr = ptr.next
def __reversed__(self):
"""Reverse the Linked List."""
self.reverse()
def push(self, item):
"""Add item to the front of the Linked List.
Args:
item: The item to be inserted.
"""
new_node = node(item)
new_node.next = self.head
self.head = new_node
def append(self, item):
"""Add item to the end of the Linked List.
Args:
item: The item to be inserted.
"""
new_node = node(item)
if self.head is None:
self.head = new_node
return
ptr = self.head
while ptr.next:
ptr = ptr.next
ptr.next = new_node
def delete(self, item):
"""Delete an item from the Linked List."""
if self.head is None:
raise index_error('Empty Linked List')
elif self.head.data == item:
self.head = self.head.next
return
temp = self.head
prev = None
while temp:
if temp.data == item:
break
prev = temp
temp = temp.next
if temp is None:
raise value_error('Item {} not in Linked List'.format(item))
else:
prev.next = temp.next
def reverse(self):
"""Reverse the items of the Linked List."""
current_ptr = self.head
prev_ptr = None
while current_ptr:
next_ptr = current_ptr.next
current_ptr.next = prev_ptr
prev_ptr = current_ptr
current_ptr = next_ptr
self.head = prev_ptr |
# check if a number is odd or even
num = int(input("Enter a number: "))
if num%2: # note that it is not checked with ==; result of %2 is 0 or 1 which can be translated as False or True
print("The number is odd")
else:
print("The number is even") | num = int(input('Enter a number: '))
if num % 2:
print('The number is odd')
else:
print('The number is even') |
# zwei 06/16/2014
# inspired by sympy.utilities.iterables.kbins.partition()
def partition(lista, bins):
# EnricoGiampieri's partition generator from
# http://stackoverflow.com/questions/13131491/
# partition-n-items-into-k-bins-in-python-lazily
if len(lista) == 1 or bins == 1:
yield [lista]
elif len(lista) > 1 and bins > 1:
for i in range(1, len(lista)):
for part in partition(lista[i:], bins - 1):
if len([lista[:i]] + part) == bins:
yield [lista[:i]] + part
for i in partition(range(3), 3):
print(i)
| def partition(lista, bins):
if len(lista) == 1 or bins == 1:
yield [lista]
elif len(lista) > 1 and bins > 1:
for i in range(1, len(lista)):
for part in partition(lista[i:], bins - 1):
if len([lista[:i]] + part) == bins:
yield ([lista[:i]] + part)
for i in partition(range(3), 3):
print(i) |
"""
Writing a Function that accepts 2 parameters.
Draws a playing board based on the rows and columns input
GitHub : @ChaitanyaJoshiX
"""
def DrawingBoard(rows, columns):
for i in range(rows):
if i%2 == 0:
for j in range(columns):
if j%2 == 0:
if j!= columns-1:
print(" ",end="")
else:
print(" ")
else:
if j!= columns-1:
print("|",end="")
else:
print("|")
else:
print("-"*columns)
return True
"""
Testing out the Function
"""
DrawingBoard(23,125)
"""
GitHub : @ChaitanyaJoshiX
"""
| """
Writing a Function that accepts 2 parameters.
Draws a playing board based on the rows and columns input
GitHub : @ChaitanyaJoshiX
"""
def drawing_board(rows, columns):
for i in range(rows):
if i % 2 == 0:
for j in range(columns):
if j % 2 == 0:
if j != columns - 1:
print(' ', end='')
else:
print(' ')
elif j != columns - 1:
print('|', end='')
else:
print('|')
else:
print('-' * columns)
return True
'\nTesting out the Function\n'
drawing_board(23, 125)
'\nGitHub : @ChaitanyaJoshiX\n' |
class Solution:
def romanToInt(self, s: str) -> int:
roman = {'I': 1,'V': 5,'X': 10, 'L': 50,'C': 100,'D': 500,'M': 1000}
exception = {'IV': 4,'IX': 9,'XL': 40,'XC': 90,'CD': 400,'CM': 900}
intnum = 0
for exc in exception:
if exc in s:
intnum = intnum + exception[exc]
s = s.replace(exc, '')
arr = list(s)
for i in arr:
intnum = intnum + roman[i]
return intnum
| class Solution:
def roman_to_int(self, s: str) -> int:
roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
exception = {'IV': 4, 'IX': 9, 'XL': 40, 'XC': 90, 'CD': 400, 'CM': 900}
intnum = 0
for exc in exception:
if exc in s:
intnum = intnum + exception[exc]
s = s.replace(exc, '')
arr = list(s)
for i in arr:
intnum = intnum + roman[i]
return intnum |
class Simbolo:
def __init__(self,tipo,nombre,posicion,ambito,dimensiones=0):
self.tipo=tipo
self.nombre=nombre
self.posicion=posicion
self.ambito=ambito
self.dimensiones=dimensiones | class Simbolo:
def __init__(self, tipo, nombre, posicion, ambito, dimensiones=0):
self.tipo = tipo
self.nombre = nombre
self.posicion = posicion
self.ambito = ambito
self.dimensiones = dimensiones |
pytest_plugins = [
'aioclustermanager.tests.fixtures'
]
| pytest_plugins = ['aioclustermanager.tests.fixtures'] |
class Result(dict):
"""Result dict. Behaves 'immutable' to the Feature.process method.
Just a simple dict to hold the results from features.
"""
__slots__ = ()
def __setitem__(self, *args):
raise TypeError('`Result` object does not support item assignment.')
def _setitem(self, key, value):
dict.__setitem__(self, key, value)
| class Result(dict):
"""Result dict. Behaves 'immutable' to the Feature.process method.
Just a simple dict to hold the results from features.
"""
__slots__ = ()
def __setitem__(self, *args):
raise type_error('`Result` object does not support item assignment.')
def _setitem(self, key, value):
dict.__setitem__(self, key, value) |
"""
Simple dependencies between tests.
"""
def test_no_skip(ctestdir):
"""One test is skipped, but no other test depends on it,
so all other tests pass.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pytest.skip("explicit skip")
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_a SKIPPED
*::test_b PASSED
*::test_c PASSED
*::test_d PASSED
""")
def test_skip_depend(ctestdir):
"""One test is skipped, other dependent tests are skipped as well.
This also includes indirect dependencies.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pytest.skip("explicit skip")
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=3, failed=0)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b SKIPPED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_fail_depend(ctestdir):
"""One test fails, other dependent tests are skipped.
This also includes indirect dependencies.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
assert False
@pytest.mark.dependency(depends=["test_b"])
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b FAILED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_named_fail_depend(ctestdir):
"""Same as test_fail_depend, but using custom test names.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency(name="a")
def test_a():
pass
@pytest.mark.dependency(name="b")
def test_b():
assert False
@pytest.mark.dependency(name="c", depends=["b"])
def test_c():
pass
@pytest.mark.dependency(name="d", depends=["c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b FAILED
*::test_c SKIPPED
*::test_d SKIPPED
""")
def test_explicit_select(ctestdir):
"""Explicitly select only a single test that depends on another one.
Since the other test has not been run at all, the selected test
will be skipped.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency()
def test_c():
pass
@pytest.mark.dependency(depends=["test_c"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose", "test_explicit_select.py::test_d")
result.assert_outcomes(passed=0, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_d SKIPPED
""")
def test_depend_unknown(ctestdir):
"""Depend on an unknown test that is not even defined in the test set.
Note that is not an error to depend on an undefined test, but the
dependent test will be skipped since the non-existent dependency
has not been run successfully.
"""
ctestdir.makepyfile("""
import pytest
@pytest.mark.dependency()
def test_a():
pass
@pytest.mark.dependency()
def test_b():
pass
@pytest.mark.dependency()
def test_c():
pass
@pytest.mark.dependency(depends=["test_x"])
def test_d():
pass
""")
result = ctestdir.runpytest("--verbose")
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines("""
*::test_a PASSED
*::test_b PASSED
*::test_c PASSED
*::test_d SKIPPED
""")
| """
Simple dependencies between tests.
"""
def test_no_skip(ctestdir):
"""One test is skipped, but no other test depends on it,
so all other tests pass.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency()\n def test_a():\n pytest.skip("explicit skip")\n\n @pytest.mark.dependency()\n def test_b():\n pass\n\n @pytest.mark.dependency(depends=["test_b"])\n def test_c():\n pass\n\n @pytest.mark.dependency(depends=["test_c"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose')
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines('\n *::test_a SKIPPED\n *::test_b PASSED\n *::test_c PASSED\n *::test_d PASSED\n ')
def test_skip_depend(ctestdir):
"""One test is skipped, other dependent tests are skipped as well.
This also includes indirect dependencies.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency()\n def test_a():\n pass\n\n @pytest.mark.dependency()\n def test_b():\n pytest.skip("explicit skip")\n\n @pytest.mark.dependency(depends=["test_b"])\n def test_c():\n pass\n\n @pytest.mark.dependency(depends=["test_c"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose')
result.assert_outcomes(passed=1, skipped=3, failed=0)
result.stdout.fnmatch_lines('\n *::test_a PASSED\n *::test_b SKIPPED\n *::test_c SKIPPED\n *::test_d SKIPPED\n ')
def test_fail_depend(ctestdir):
"""One test fails, other dependent tests are skipped.
This also includes indirect dependencies.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency()\n def test_a():\n pass\n\n @pytest.mark.dependency()\n def test_b():\n assert False\n\n @pytest.mark.dependency(depends=["test_b"])\n def test_c():\n pass\n\n @pytest.mark.dependency(depends=["test_c"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose')
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines('\n *::test_a PASSED\n *::test_b FAILED\n *::test_c SKIPPED\n *::test_d SKIPPED\n ')
def test_named_fail_depend(ctestdir):
"""Same as test_fail_depend, but using custom test names.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency(name="a")\n def test_a():\n pass\n\n @pytest.mark.dependency(name="b")\n def test_b():\n assert False\n\n @pytest.mark.dependency(name="c", depends=["b"])\n def test_c():\n pass\n\n @pytest.mark.dependency(name="d", depends=["c"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose')
result.assert_outcomes(passed=1, skipped=2, failed=1)
result.stdout.fnmatch_lines('\n *::test_a PASSED\n *::test_b FAILED\n *::test_c SKIPPED\n *::test_d SKIPPED\n ')
def test_explicit_select(ctestdir):
"""Explicitly select only a single test that depends on another one.
Since the other test has not been run at all, the selected test
will be skipped.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency()\n def test_a():\n pass\n\n @pytest.mark.dependency()\n def test_b():\n pass\n\n @pytest.mark.dependency()\n def test_c():\n pass\n\n @pytest.mark.dependency(depends=["test_c"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose', 'test_explicit_select.py::test_d')
result.assert_outcomes(passed=0, skipped=1, failed=0)
result.stdout.fnmatch_lines('\n *::test_d SKIPPED\n ')
def test_depend_unknown(ctestdir):
"""Depend on an unknown test that is not even defined in the test set.
Note that is not an error to depend on an undefined test, but the
dependent test will be skipped since the non-existent dependency
has not been run successfully.
"""
ctestdir.makepyfile('\n import pytest\n\n @pytest.mark.dependency()\n def test_a():\n pass\n\n @pytest.mark.dependency()\n def test_b():\n pass\n\n @pytest.mark.dependency()\n def test_c():\n pass\n\n @pytest.mark.dependency(depends=["test_x"])\n def test_d():\n pass\n ')
result = ctestdir.runpytest('--verbose')
result.assert_outcomes(passed=3, skipped=1, failed=0)
result.stdout.fnmatch_lines('\n *::test_a PASSED\n *::test_b PASSED\n *::test_c PASSED\n *::test_d SKIPPED\n ') |
# URI Online Judge 1117
nota1, nota2 = -1, -1
continuar = 1
while continuar == 1:
nota1, nota2 = -1, -1
while nota1 < 0 or nota1 > 10:
nota1 = float(input())
if nota1 < 0 or nota1 > 10:
print("nota invalida")
while nota2 < 0 or nota2 > 10:
nota2 = float(input())
if nota2 < 0 or nota2 > 10:
print("nota invalida")
print("media = {0:.2f}".format((nota1+nota2)/2))
continuar = -1
while continuar !=1 and continuar !=2:
print("novo calculo (1-sim 2-nao)")
continuar = int(input())
| (nota1, nota2) = (-1, -1)
continuar = 1
while continuar == 1:
(nota1, nota2) = (-1, -1)
while nota1 < 0 or nota1 > 10:
nota1 = float(input())
if nota1 < 0 or nota1 > 10:
print('nota invalida')
while nota2 < 0 or nota2 > 10:
nota2 = float(input())
if nota2 < 0 or nota2 > 10:
print('nota invalida')
print('media = {0:.2f}'.format((nota1 + nota2) / 2))
continuar = -1
while continuar != 1 and continuar != 2:
print('novo calculo (1-sim 2-nao)')
continuar = int(input()) |
result = set()
for *features, label in DATA[1:]:
species = label.pop()
if species.endswith(SUFFIXES):
result.add(species)
| result = set()
for (*features, label) in DATA[1:]:
species = label.pop()
if species.endswith(SUFFIXES):
result.add(species) |
# Work out the first ten digits of the sum of
# the following one-hundred 50-digit numbers.
num_str = "37107287533902102798797998220837590246510135740250\
46376937677490009712648124896970078050417018260538\
74324986199524741059474233309513058123726617309629\
91942213363574161572522430563301811072406154908250\
23067588207539346171171980310421047513778063246676\
89261670696623633820136378418383684178734361726757\
28112879812849979408065481931592621691275889832738\
44274228917432520321923589422876796487670272189318\
47451445736001306439091167216856844588711603153276\
70386486105843025439939619828917593665686757934951\
62176457141856560629502157223196586755079324193331\
64906352462741904929101432445813822663347944758178\
92575867718337217661963751590579239728245598838407\
58203565325359399008402633568948830189458628227828\
80181199384826282014278194139940567587151170094390\
35398664372827112653829987240784473053190104293586\
86515506006295864861532075273371959191420517255829\
71693888707715466499115593487603532921714970056938\
54370070576826684624621495650076471787294438377604\
53282654108756828443191190634694037855217779295145\
36123272525000296071075082563815656710885258350721\
45876576172410976447339110607218265236877223636045\
17423706905851860660448207621209813287860733969412\
81142660418086830619328460811191061556940512689692\
51934325451728388641918047049293215058642563049483\
62467221648435076201727918039944693004732956340691\
15732444386908125794514089057706229429197107928209\
55037687525678773091862540744969844508330393682126\
18336384825330154686196124348767681297534375946515\
80386287592878490201521685554828717201219257766954\
78182833757993103614740356856449095527097864797581\
16726320100436897842553539920931837441497806860984\
48403098129077791799088218795327364475675590848030\
87086987551392711854517078544161852424320693150332\
59959406895756536782107074926966537676326235447210\
69793950679652694742597709739166693763042633987085\
41052684708299085211399427365734116182760315001271\
65378607361501080857009149939512557028198746004375\
35829035317434717326932123578154982629742552737307\
94953759765105305946966067683156574377167401875275\
88902802571733229619176668713819931811048770190271\
25267680276078003013678680992525463401061632866526\
36270218540497705585629946580636237993140746255962\
24074486908231174977792365466257246923322810917141\
91430288197103288597806669760892938638285025333403\
34413065578016127815921815005561868836468420090470\
23053081172816430487623791969842487255036638784583\
11487696932154902810424020138335124462181441773470\
63783299490636259666498587618221225225512486764533\
67720186971698544312419572409913959008952310058822\
95548255300263520781532296796249481641953868218774\
76085327132285723110424803456124867697064507995236\
37774242535411291684276865538926205024910326572967\
23701913275725675285653248258265463092207058596522\
29798860272258331913126375147341994889534765745501\
18495701454879288984856827726077713721403798879715\
38298203783031473527721580348144513491373226651381\
34829543829199918180278916522431027392251122869539\
40957953066405232632538044100059654939159879593635\
29746152185502371307642255121183693803580388584903\
41698116222072977186158236678424689157993532961922\
62467957194401269043877107275048102390895523597457\
23189706772547915061505504953922979530901129967519\
86188088225875314529584099251203829009407770775672\
11306739708304724483816533873502340845647058077308\
82959174767140363198008187129011875491310547126581\
97623331044818386269515456334926366572897563400500\
42846280183517070527831839425882145521227251250327\
55121603546981200581762165212827652751691296897789\
32238195734329339946437501907836945765883352399886\
75506164965184775180738168837861091527357929701337\
62177842752192623401942399639168044983993173312731\
32924185707147349566916674687634660915035914677504\
99518671430235219628894890102423325116913619626622\
73267460800591547471830798392868535206946944540724\
76841822524674417161514036427982273348055556214818\
97142617910342598647204516893989422179826088076852\
87783646182799346313767754307809363333018982642090\
10848802521674670883215120185883543223812876952786\
71329612474782464538636993009049310363619763878039\
62184073572399794223406235393808339651327408011116\
66627891981488087797941876876144230030984490851411\
60661826293682836764744779239180335110989069790714\
85786944089552990653640447425576083659976645795096\
66024396409905389607120198219976047599490197230297\
64913982680032973156037120041377903785566085089252\
16730939319872750275468906903707539413042652315011\
94809377245048795150954100921645863754710598436791\
78639167021187492431995700641917969777599028300699\
15368713711936614952811305876380278410754449733078\
40789923115535562561142322423255033685442488917353\
44889911501440648020369068063960672322193204149535\
41503128880339536053299340368006977710650566631954\
81234880673210146739058568557934581403627822703280\
82616570773948327592232845941706525094512325230608\
22918802058777319719839450180888072429661980811197\
77158542502016545090413245809786882778948721859617\
72107838435069186155435662884062257473692284509516\
20849603980134001723930671666823555245252804609722\
53503534226472524250874054075591789781264330331690"
def large_sum():
s = 0
for i in range(100):
s += int(num_str[(i * 50):(i * 50 + 50)])
return str(s)[:10]
if __name__ == "__main__":
print(large_sum())
| num_str = '37107287533902102798797998220837590246510135740250463769376774900097126481248969700780504170182605387432498619952474105947423330951305812372661730962991942213363574161572522430563301811072406154908250230675882075393461711719803104210475137780632466768926167069662363382013637841838368417873436172675728112879812849979408065481931592621691275889832738442742289174325203219235894228767964876702721893184745144573600130643909116721685684458871160315327670386486105843025439939619828917593665686757934951621764571418565606295021572231965867550793241933316490635246274190492910143244581382266334794475817892575867718337217661963751590579239728245598838407582035653253593990084026335689488301894586282278288018119938482628201427819413994056758715117009439035398664372827112653829987240784473053190104293586865155060062958648615320752733719591914205172558297169388870771546649911559348760353292171497005693854370070576826684624621495650076471787294438377604532826541087568284431911906346940378552177792951453612327252500029607107508256381565671088525835072145876576172410976447339110607218265236877223636045174237069058518606604482076212098132878607339694128114266041808683061932846081119106155694051268969251934325451728388641918047049293215058642563049483624672216484350762017279180399446930047329563406911573244438690812579451408905770622942919710792820955037687525678773091862540744969844508330393682126183363848253301546861961243487676812975343759465158038628759287849020152168555482871720121925776695478182833757993103614740356856449095527097864797581167263201004368978425535399209318374414978068609844840309812907779179908821879532736447567559084803087086987551392711854517078544161852424320693150332599594068957565367821070749269665376763262354472106979395067965269474259770973916669376304263398708541052684708299085211399427365734116182760315001271653786073615010808570091499395125570281987460043753582903531743471732693212357815498262974255273730794953759765105305946966067683156574377167401875275889028025717332296191766687138199318110487701902712526768027607800301367868099252546340106163286652636270218540497705585629946580636237993140746255962240744869082311749777923654662572469233228109171419143028819710328859780666976089293863828502533340334413065578016127815921815005561868836468420090470230530811728164304876237919698424872550366387845831148769693215490281042402013833512446218144177347063783299490636259666498587618221225225512486764533677201869716985443124195724099139590089523100588229554825530026352078153229679624948164195386821877476085327132285723110424803456124867697064507995236377742425354112916842768655389262050249103265729672370191327572567528565324825826546309220705859652229798860272258331913126375147341994889534765745501184957014548792889848568277260777137214037988797153829820378303147352772158034814451349137322665138134829543829199918180278916522431027392251122869539409579530664052326325380441000596549391598795936352974615218550237130764225512118369380358038858490341698116222072977186158236678424689157993532961922624679571944012690438771072750481023908955235974572318970677254791506150550495392297953090112996751986188088225875314529584099251203829009407770775672113067397083047244838165338735023408456470580773088295917476714036319800818712901187549131054712658197623331044818386269515456334926366572897563400500428462801835170705278318394258821455212272512503275512160354698120058176216521282765275169129689778932238195734329339946437501907836945765883352399886755061649651847751807381688378610915273579297013376217784275219262340194239963916804498399317331273132924185707147349566916674687634660915035914677504995186714302352196288948901024233251169136196266227326746080059154747183079839286853520694694454072476841822524674417161514036427982273348055556214818971426179103425986472045168939894221798260880768528778364618279934631376775430780936333301898264209010848802521674670883215120185883543223812876952786713296124747824645386369930090493103636197638780396218407357239979422340623539380833965132740801111666627891981488087797941876876144230030984490851411606618262936828367647447792391803351109890697907148578694408955299065364044742557608365997664579509666024396409905389607120198219976047599490197230297649139826800329731560371200413779037855660850892521673093931987275027546890690370753941304265231501194809377245048795150954100921645863754710598436791786391670211874924319957006419179697775990283006991536871371193661495281130587638027841075444973307840789923115535562561142322423255033685442488917353448899115014406480203690680639606723221932041495354150312888033953605329934036800697771065056663195481234880673210146739058568557934581403627822703280826165707739483275922328459417065250945123252306082291880205877731971983945018088807242966198081119777158542502016545090413245809786882778948721859617721078384350691861554356628840622574736922845095162084960398013400172393067166682355524525280460972253503534226472524250874054075591789781264330331690'
def large_sum():
s = 0
for i in range(100):
s += int(num_str[i * 50:i * 50 + 50])
return str(s)[:10]
if __name__ == '__main__':
print(large_sum()) |
class Out():
def __init__(self):
self.log_level = 0
def print(self, msg):
print(msg)
def log(self, level, msg):
if level >= self.log_level:
return
else:
output = ""
if level == 1:
output = "[VERBOSE] "
elif level == 2:
output = "[ DEBUG ] "
print(output + msg)
def set_level(self, level):
self.log_level = level
| class Out:
def __init__(self):
self.log_level = 0
def print(self, msg):
print(msg)
def log(self, level, msg):
if level >= self.log_level:
return
else:
output = ''
if level == 1:
output = '[VERBOSE] '
elif level == 2:
output = '[ DEBUG ] '
print(output + msg)
def set_level(self, level):
self.log_level = level |
number_of_test_cases = int(input().strip())
for _ in range(number_of_test_cases):
try:
a, b = map(int, input().strip().split(" "))
print(a // b)
except Exception as e:
print("Error Code:", e)
| number_of_test_cases = int(input().strip())
for _ in range(number_of_test_cases):
try:
(a, b) = map(int, input().strip().split(' '))
print(a // b)
except Exception as e:
print('Error Code:', e) |
def printArray(array):
print(" ")
for itemNum in range(0, len(array)):
print("#" + str(itemNum) + ": " + str(array[itemNum]))
def linearSearch(array, find):
foundInd = -1
found = False
time = 0
while time < len(array) and not found:
if array[time] == find:
print("Found " + str(find) + ", taking " + str(time + 1) + " iterations")
found = True
time += 1
return foundInd
def binarySearch(array, find):
selectSort(array)
high = len(array) - 1
low = 0
time = 0
foundInd = -1
found = False
while high >= low and not found:
mid = (high + low) / 2
if array[mid] > find:
high = mid - 1
elif array[mid] < find:
low = mid + 1
else:
foundInd = mid
found = True
print("Found " + str(find) + ", taking " + str(time + 1) + " iterations")
time += 1
return found
"""
Primary advantage: performs the smallest number of swaps, so it works will when
it would be expensive to move or copy data
"""
def selectSort(array):
for index in range(0, len(array)):
#find the smallest element, starting at item
indexOfSmallest = index
for checkSizeIndex in range(index + 1, len(array)):
if array[checkSizeIndex] < array[indexOfSmallest]:
indexOfSmallest = checkSizeIndex
temp = array[index]
array[index] = array[indexOfSmallest]
array[indexOfSmallest] = temp
def insertSort(array):
for index in range(1, len(array)):
shoveIndex = index
while shoveIndex > 0 and array[shoveIndex] < array[shoveIndex - 1]:
temp = array[shoveIndex]
array[shoveIndex] = array[shoveIndex - 1]
array[shoveIndex - 1] = temp
shoveIndex -= 1
a = [5, 3, 2, 4, 1]
for i in range(1, 6):
binarySearch(a, i) | def print_array(array):
print(' ')
for item_num in range(0, len(array)):
print('#' + str(itemNum) + ': ' + str(array[itemNum]))
def linear_search(array, find):
found_ind = -1
found = False
time = 0
while time < len(array) and (not found):
if array[time] == find:
print('Found ' + str(find) + ', taking ' + str(time + 1) + ' iterations')
found = True
time += 1
return foundInd
def binary_search(array, find):
select_sort(array)
high = len(array) - 1
low = 0
time = 0
found_ind = -1
found = False
while high >= low and (not found):
mid = (high + low) / 2
if array[mid] > find:
high = mid - 1
elif array[mid] < find:
low = mid + 1
else:
found_ind = mid
found = True
print('Found ' + str(find) + ', taking ' + str(time + 1) + ' iterations')
time += 1
return found
'\nPrimary advantage: performs the smallest number of swaps, so it works will when\n it would be expensive to move or copy data\n'
def select_sort(array):
for index in range(0, len(array)):
index_of_smallest = index
for check_size_index in range(index + 1, len(array)):
if array[checkSizeIndex] < array[indexOfSmallest]:
index_of_smallest = checkSizeIndex
temp = array[index]
array[index] = array[indexOfSmallest]
array[indexOfSmallest] = temp
def insert_sort(array):
for index in range(1, len(array)):
shove_index = index
while shoveIndex > 0 and array[shoveIndex] < array[shoveIndex - 1]:
temp = array[shoveIndex]
array[shoveIndex] = array[shoveIndex - 1]
array[shoveIndex - 1] = temp
shove_index -= 1
a = [5, 3, 2, 4, 1]
for i in range(1, 6):
binary_search(a, i) |
# TODO
# Have not even started one bit but easy once get the other part done
# https://bsmg.wiki/mapping/map-format.html#events-2
# Get the Melograph
# Translate the graph to the events
# Write the results to the file
# Onset Can create a idea of where to put the beats
# https://librosa.org/doc/latest/generated/librosa.beat.beat_track.html?msclkid=bd66166baebe11ecabf9d7d7420bed35
# Pitches used for the movement going through
# https://librosa.org/doc/latest/generated/librosa.decompose.nn_filter.html
# https://github.com/ItsOrius/LiteMapper#readme
'''
You may be wondering, how do we manage to incentivize more creative mapping? Rather than just placing events based on time and location, we run a multitude of different checks to decide on where to place our events.
Beats with a high pace (more than 1 block per beat) receive a red center light, beats with a medium pace (at least 2 block per two beats) receive a blue center light, and beats with a slow pace (one block or less per two beats) receive a fading blue center light.
A change in pace results in a ring zoom.
Timestamps with more than one block at a time results in a ring rotation.
Beats with more than one block per two beats receive a ring light every beat.
Any-direction blocks and bombs result in the back lights turning on and the center lights turning off.
The laser opposite of the last (starting on the left) will flash, but the other laser will deactivate.
Both lasers activate on double notes with two beats or more of padding
''' | """
You may be wondering, how do we manage to incentivize more creative mapping? Rather than just placing events based on time and location, we run a multitude of different checks to decide on where to place our events.
Beats with a high pace (more than 1 block per beat) receive a red center light, beats with a medium pace (at least 2 block per two beats) receive a blue center light, and beats with a slow pace (one block or less per two beats) receive a fading blue center light.
A change in pace results in a ring zoom.
Timestamps with more than one block at a time results in a ring rotation.
Beats with more than one block per two beats receive a ring light every beat.
Any-direction blocks and bombs result in the back lights turning on and the center lights turning off.
The laser opposite of the last (starting on the left) will flash, but the other laser will deactivate.
Both lasers activate on double notes with two beats or more of padding
""" |
class GroupHelper:
def __init__(self,app):
self.app = app
def return_to_group_page(self):
wd = self.app.wd
wd.find_element_by_link_text("group page").click()
def creator(self, group):
wd = self.app.wd
# open_gp
wd.find_element_by_link_text("groups").click()
# init_group_creator
wd.find_element_by_name("new").click()
# fill_group_form
wd.find_element_by_name("group_name").click()
wd.find_element_by_name("group_name").clear()
wd.find_element_by_name("group_name").send_keys(group.name)
wd.find_element_by_name("group_header").click()
wd.find_element_by_name("group_header").clear()
wd.find_element_by_name("group_header").send_keys(group.header)
wd.find_element_by_name("group_footer").click()
wd.find_element_by_name("group_footer").clear()
wd.find_element_by_name("group_footer").send_keys(group.footer)
# sumbit_creation_group
wd.find_element_by_name("submit").click()
self.return_to_group_page()
def delete_first_group(self):
wd = self.app.wd
# link group page
wd.find_element_by_link_text("groups").click()
# select first group
wd.find_element_by_name("selected[]").click()
# Delite
wd.find_element_by_name("delete").click()
self.return_to_group_page() | class Grouphelper:
def __init__(self, app):
self.app = app
def return_to_group_page(self):
wd = self.app.wd
wd.find_element_by_link_text('group page').click()
def creator(self, group):
wd = self.app.wd
wd.find_element_by_link_text('groups').click()
wd.find_element_by_name('new').click()
wd.find_element_by_name('group_name').click()
wd.find_element_by_name('group_name').clear()
wd.find_element_by_name('group_name').send_keys(group.name)
wd.find_element_by_name('group_header').click()
wd.find_element_by_name('group_header').clear()
wd.find_element_by_name('group_header').send_keys(group.header)
wd.find_element_by_name('group_footer').click()
wd.find_element_by_name('group_footer').clear()
wd.find_element_by_name('group_footer').send_keys(group.footer)
wd.find_element_by_name('submit').click()
self.return_to_group_page()
def delete_first_group(self):
wd = self.app.wd
wd.find_element_by_link_text('groups').click()
wd.find_element_by_name('selected[]').click()
wd.find_element_by_name('delete').click()
self.return_to_group_page() |
class category(object):
def __init__(self, id=None, account=None, name=None,
description=None, parent=None,
selectable=True, active=True):
self.id = id
self.account = account
self.name = name
self.description = description
self.parent = parent
self.selectable = selectable
self.active = active
def json_data(self):
_tmp = self.__dict__
_tmp.pop('id', None)
return _tmp
| class Category(object):
def __init__(self, id=None, account=None, name=None, description=None, parent=None, selectable=True, active=True):
self.id = id
self.account = account
self.name = name
self.description = description
self.parent = parent
self.selectable = selectable
self.active = active
def json_data(self):
_tmp = self.__dict__
_tmp.pop('id', None)
return _tmp |
"""
Fixed and improved version based on "extracting from C++ doxygen documented file Author G.D." and py++ code.
Distributed under the Boost Software License, Version 1.0. (See
accompanying file LICENSE_1_0.txt or copy at
http://www.boost.org/LICENSE_1_0.txt)
"""
class doxygen_doc_extractor:
"""
Extracts Doxygen styled documentation from source or generates it from description.
"""
def __init__(self):
#for caching source
self.file_name = None
self.source = None
#__init__
def __call__(self, declaration):
try:
if self.file_name != declaration.location.file_name:
self.file_name = declaration.location.file_name
self.source = open(declaration.location.file_name).readlines()
find_block_end = False
doc_lines = []
for lcount in xrange(declaration.location.line-2, -1, -1):
line = self.source[lcount]
if not find_block_end:
try:
if line.rstrip()[-2:] == "*/":
find_block_end = True
except:
pass
if find_block_end:
try:
if line.lstrip()[:2] == "/*":
find_block_end = False
except:
pass
final_str = self.clear_str(line)
if not find_block_end and self.is_code(line):
break
if final_str:
doc_lines.insert(0, final_str)
except:
pass
finally:
if doc_lines:
final_doc_lines = [ line.replace("\n","\\n") for line in doc_lines[:-1] ]
final_doc_lines.append(doc_lines[-1].replace("\n",""))
return '"' + ''.join(final_doc_lines) + '"'
else:
return '\"\"'
#__call__()
def clear_str(self, tmp_str):
"""
Replace */! by space and \brief, @fn, \param, etc
"""
tmp_str = tmp_str.replace("/**", "")
tmp_str = tmp_str.replace("*", "")
tmp_str = tmp_str.replace("*/", "")
# tmp_str = reduce(clean, [tmp_str, '/','*','!',"\\brief","@brief","\\fn","@fn","\\ref","@ref", "\"", "\'", "\\c"])
#
# #commands list taken form : http://www.stack.nl/~dimitri/doxygen/commands.html
# replacement_list = [
# # "a",
# "addindex",
# "addtogroup",
# "anchor",
# "arg",
# "attention",
# "author",
# # "b",
# # "brief",
# "bug",
# # "c",
# "callgraph",
# "callergraph",
# "category",
# "class",
# ("code","[Code]"),
# "cond",
# "copybrief",
# "copydetails",
# "copydoc",
# "date",
# "def",
# "defgroup",
# "deprecated",
# "details",
# "dir",
# "dontinclude",
# ("dot","[Dot]"),
# "dotfile",
# "e",
# "else",
# "elseif",
# "em",
# ("endcode","[/Code]"),
# "endcond",
# ("enddot","[/Dot]"),
# "endhtmlonly",
# "endif",
# "endlatexonly",
# "endlink",
# "endmanonly",
# "endmsc",
# "endverbatim",
# "endxmlonly",
# "enum",
# "example",
# "exception",
# "extends",
# "f$",
# "f[",
# "f]",
# "f{",
# "f}",
# "file",
# # "fn",
# "headerfile",
# "hideinitializer",
# "htmlinclude",
# "htmlonly",
# "if",
# "ifnot",
# "image",
# "implements",
# "include",
# "includelineno",
# "ingroup",
# "internal",
# "invariant",
# "interface",
# "latexonly",
# "li",
# "line",
# "link",
# "mainpage",
# "manonly",
# "memberof",
# "msc",
# # "n",
# "name",
# "namespace",
# "nosubgrouping",
# "note",
# "overload",
# # "p",
# "package",
# "page",
# "par",
# "paragraph",
# "param",
# "post",
# "pre",
# # "private (PHP only)",
# # "privatesection (PHP only)",
# "property",
# # "protected (PHP only)",
# # "protectedsection (PHP only)",
# "protocol",
# # "public (PHP only)",
# # "publicsection (PHP only)",
# # "ref",
# "relates",
# "relatesalso",
# "remarks",
# "return",
# "retval",
# "sa",
# "section",
# "see",
# "showinitializer",
# "since",
# "skip",
# "skipline",
# "struct",
# "subpage",
# "subsection",
# "subsubsection",
# "test",
# "throw",
# ("todo","TODO"),
# "tparam",
# "typedef",
# "union",
# "until",
# "var",
# "verbatim",
# "verbinclude",
# "version",
# "warning",
# "weakgroup",
# "xmlonly",
# "xrefitem",
# # "$",
# # "@",
# # "\",
# # "&",
# # "~",
# # "<",
# # ">",
# # "#",
# # "%",
# ]
#
# for command in replacement_list:
# try:
# old,new = command
# except ValueError:
# old = command
# new = command.capitalize()+":"
# tmp_str = clean(tmp_str, "@"+old, new)
# tmp_str = clean(tmp_str, "\\"+old, new)
return tmp_str.lstrip()
#clean_str()
def is_code(self, tmp_str):
"""
Detects if tmp_str is code or not
"""
try:
beg = tmp_str.lstrip()[:2]
return beg != "//" and beg != "/*"
except:
pass
return False
#is_code()
#class doxygen_doc_extractor | """
Fixed and improved version based on "extracting from C++ doxygen documented file Author G.D." and py++ code.
Distributed under the Boost Software License, Version 1.0. (See
accompanying file LICENSE_1_0.txt or copy at
http://www.boost.org/LICENSE_1_0.txt)
"""
class Doxygen_Doc_Extractor:
"""
Extracts Doxygen styled documentation from source or generates it from description.
"""
def __init__(self):
self.file_name = None
self.source = None
def __call__(self, declaration):
try:
if self.file_name != declaration.location.file_name:
self.file_name = declaration.location.file_name
self.source = open(declaration.location.file_name).readlines()
find_block_end = False
doc_lines = []
for lcount in xrange(declaration.location.line - 2, -1, -1):
line = self.source[lcount]
if not find_block_end:
try:
if line.rstrip()[-2:] == '*/':
find_block_end = True
except:
pass
if find_block_end:
try:
if line.lstrip()[:2] == '/*':
find_block_end = False
except:
pass
final_str = self.clear_str(line)
if not find_block_end and self.is_code(line):
break
if final_str:
doc_lines.insert(0, final_str)
except:
pass
finally:
if doc_lines:
final_doc_lines = [line.replace('\n', '\\n') for line in doc_lines[:-1]]
final_doc_lines.append(doc_lines[-1].replace('\n', ''))
return '"' + ''.join(final_doc_lines) + '"'
else:
return '""'
def clear_str(self, tmp_str):
"""
Replace */! by space and \x08rief, @fn, \\param, etc
"""
tmp_str = tmp_str.replace('/**', '')
tmp_str = tmp_str.replace('*', '')
tmp_str = tmp_str.replace('*/', '')
return tmp_str.lstrip()
def is_code(self, tmp_str):
"""
Detects if tmp_str is code or not
"""
try:
beg = tmp_str.lstrip()[:2]
return beg != '//' and beg != '/*'
except:
pass
return False |
#Project Euler Problem-52
#Author Tushar Gayan
def f(num_1,num_2): #Checks same digit
num_list_1 = [int(i) for i in str(num_1)]
num_list_2 = [int(i) for i in str(num_2)]
num_list_1.sort();num_list_2.sort()
if num_list_1 == num_list_2:
return True
else:
return False
n = 1
while f(n,2*n) != True or f(2*n,3*n) != True or f(3*n,4*n) != True or f(4*n,5*n) != True or f(5*n,6*n) != True:
n+=1
print(n)
| def f(num_1, num_2):
num_list_1 = [int(i) for i in str(num_1)]
num_list_2 = [int(i) for i in str(num_2)]
num_list_1.sort()
num_list_2.sort()
if num_list_1 == num_list_2:
return True
else:
return False
n = 1
while f(n, 2 * n) != True or f(2 * n, 3 * n) != True or f(3 * n, 4 * n) != True or (f(4 * n, 5 * n) != True) or (f(5 * n, 6 * n) != True):
n += 1
print(n) |
"""
breadcrumbs.namedobject
~~~~~~~~~~~~~~~~~~~~~~~
Sentinels with good representation.
:copyright: 2021 by breadcrumbs Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
class NamedObject(object):
"""A class to construct named sentinels."""
def __init__(self, name):
self.name = name
def __repr__(self):
return self.name
def __str__(self):
return self.name
def __hash__(self):
return id(self)
def __deepcopy__(self, memo):
return self
| """
breadcrumbs.namedobject
~~~~~~~~~~~~~~~~~~~~~~~
Sentinels with good representation.
:copyright: 2021 by breadcrumbs Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
class Namedobject(object):
"""A class to construct named sentinels."""
def __init__(self, name):
self.name = name
def __repr__(self):
return self.name
def __str__(self):
return self.name
def __hash__(self):
return id(self)
def __deepcopy__(self, memo):
return self |
# problem : https://leetcode.com/problems/coin-change-2/
# time complexity : O(NM)
# algorithm : DP
class Solution:
def change(self, amount: int, coins: List[int]) -> int:
if amount == 0 and len(coins) == 0:
return 1
dp = [[0] * (amount + 1)] * (len(coins) + 1)
for coinInd in range(len(coins)):
coin = coins[coinInd]
prev = dp[coinInd]
now = dp[coinInd + 1]
now[0] = 1
for ind in range(coin, amount + 1):
now[ind] = now[ind-coin] + prev[ind]
return dp[len(coins)][amount]
| class Solution:
def change(self, amount: int, coins: List[int]) -> int:
if amount == 0 and len(coins) == 0:
return 1
dp = [[0] * (amount + 1)] * (len(coins) + 1)
for coin_ind in range(len(coins)):
coin = coins[coinInd]
prev = dp[coinInd]
now = dp[coinInd + 1]
now[0] = 1
for ind in range(coin, amount + 1):
now[ind] = now[ind - coin] + prev[ind]
return dp[len(coins)][amount] |
def main():
with open("day1/input.dat") as f:
expenses = [int(n) for n in f.readlines()]
result = None
for a in expenses:
for b in expenses:
if a + b == 2020:
result = a*b
break
return result
if __name__ == "__main__":
print(main()) | def main():
with open('day1/input.dat') as f:
expenses = [int(n) for n in f.readlines()]
result = None
for a in expenses:
for b in expenses:
if a + b == 2020:
result = a * b
break
return result
if __name__ == '__main__':
print(main()) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.