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import PlayerClass
import ActionMethods
import Log
import Items
import copy
import random
class Sym:
# logName - string
def __init__(self,logName):
self.listOfTeams = [] # Team - a list of players with some additional stuff.
self.dayDuration = 12 # Amount of hours in a day
self.hourlyCalorieCost = 50 # calorie cost per hour - no matter the action
self.theLog = Log.LogObject(logName) # log where stuff is going to be written. For now only for testing purposes.
# runs symulation for one day
def runForADay(self):
for t in self.listOfTeams:
t.resetPlayersTime()
stringToWrite = "---Status:\n"
for team in self.listOfTeams:
for p in team.playerList:
stringToWrite+=p.getStringStatus(1)+ "\tinventory\n"+ p.getStringItemList(2)
self.theLog.writeToLog(stringToWrite)
allFinished = False
while not allFinished:
random.shuffle(self.listOfTeams) # this shuffle is so that one team doesn't always go first
result = self.findEarlyiestPlayer()
# To implement - teams make actions as a group. Sometimes only part of the team does the action.
if result[0] is None:
allFinished = self.areAllFinished()
break
playersPerformingAction = result[1].listOfPlayersWithGivenTime(result[0].simTime)
resultOfDecision = self.makeGroupDecisionNoCathegories(playersPerformingAction)
action = resultOfDecision[0]
target = resultOfDecision[1]
ideaOriginators = resultOfDecision[2]
resultOfRebelDetection = self.detectRebelsAndRemoveThemFromParticipants(playersPerformingAction,ideaOriginators)
listOfRebels = resultOfRebelDetection[0]
playersPerformingAction = resultOfRebelDetection[1]
# now we have to implement bumps. For now takeCareOfBumo doesn't work, since I need to implement relationships first
bumpDidntFailAction = self.takeCareOfBump(playersPerformingAction,target)
if bumpDidntFailAction:
actionResult = action.applyAction(playersPerformingAction,target)
else:
actionResult = action.failAction(playersPerformingAction,target)
# This listOfPerformers is only for log to look nice. Players that are target and performer are removed from performers lists by action methods anyway to be extra safe.
if not target is None:
listOfPerformers = [x for x in playersPerformingAction if x not in target]
else:
listOfPerformers = playersPerformingAction
self.writeActionInformationToLog(action,actionResult,listOfPerformers,target,listOfRebels,ideaOriginators)
for p in playersPerformingAction:
p.removeCalories(self.hourlyCalorieCost*action.time)
p.simTime+=action.time
p.passTimeOnAfflictions(action.time)
afflictionChanges = p.checkForAfflictionsToPutAndRemove()
#print(afflictionChanges)
self.writeAfflictionInformationToLog(p,afflictionChanges)
stringToWrite = p.getStringStatus(1) + "\tinventory\n"+ p.getStringItemList(2) + "\ttime passed so far:{}\n".format(p.simTime)
self.theLog.writeToLog(stringToWrite) # Writes player status to the log
isDead = p.isDead()
if isDead[0]:
result[1].removePlayer(p.id)
stringToWrite=p.Name+" "+isDead[1]+'\n'
self.theLog.writeToLog(stringToWrite)
allFinished = self.areAllFinished()
# finds a player that has the least of time passed
# returns None if everyone is above dayDuration time
def findEarlyiestPlayer(self):
playerToReturn = None
teamToReturn = None
playerTime = self.dayDuration
for team in self.listOfTeams:
for player in team.playerList:
if player.simTime<playerTime:
playerTime = player.simTime
playerToReturn = player
teamToReturn = team
return playerToReturn,teamToReturn # player with the least time passed - and his team
# makes decision of one player
# player - PlayerClass.Player
# group - list of players, where decision making takes place. Player should be inside it.
def makeDecisionNoCathegories(self,player,group):
group.remove(player)
group.insert(0,player)
actionToReturn = None # action to perform
actionPlayers = None # performers of the action
actionTarget = None # target of the action
rebelReason = player.isRebel()
if rebelReason == PlayerClass.Player.rebelReasonDict["hunger"]:
result = ActionMethods.EatFoodCheck([player])
if result:
actionToReturn = PlayerClass.getActionByName("eat food")
actionPlayers = [player]
elif ActionMethods.AskForFoodCheck(group,[player]):
actionToReturn = PlayerClass.getActionByName("ask for food")
actionPlayers = group
actionTarget = [player]
else:
actionToReturn = PlayerClass.getActionByName("gather food")
actionPlayers = group
else:
# random action
actionToReturn = PlayerClass.getPurelyRandomAction()
actionPlayers = group
if actionToReturn.name == "ask for food":
actionTarget = [player]
return actionToReturn, actionPlayers ,actionTarget
# makes decision of group of players.
# listOfPlayers - list with Player as elements
def makeGroupDecisionNoCathegories(self,listOfPlayers):
actionsAndPersuasionList = []
action = None
actionTarget = None
for p in listOfPlayers:
result = self.makeDecisionNoCathegories(p,listOfPlayers) # [0] - action, [1] - players performing action,[2] - players to perform action on
action = result[0]
actionPlayers = result[1]
actionTarget = result[2]
persuasion = p.Charisma + 0.4 * p.Intelligence + 0.1*random.randint(0,20)
appendIsNeeded = True
for AaP in actionsAndPersuasionList:
if AaP[0].name == action.name:
appendIsNeeded = False
AaP[1]+=persuasion
AaP[3].append(p)
break
if appendIsNeeded:
actionsAndPersuasionList.append([action,persuasion,actionTarget,[p]])
# find action with the biggest persuasion
action = None
actionTarget = None
persuasion = -1
for AaP in actionsAndPersuasionList:
if AaP[1]> persuasion:
persuasion = AaP[1]
action = AaP[0]
actionTarget = AaP[2]
originators =AaP[3]
return action,actionTarget,originators
#detects if all players in all teams have finished actions for today
def areAllFinished(self):
for team in self.listOfTeams:
if not team.checkAllPlayersFinished(self.dayDuration):
return False
return True
# Writes information about performed action into the log
def writeActionInformationToLog(self,action,actionResult,playerList,targetList = None,listOfRebels = None,originators = None ):
if actionResult:
textToPrint = "success"
else:
textToPrint = "failure"
playerNames = ""
for p in playerList:
playerNames+=p.Name+', '
playerNames = playerNames[:-2]
targetNames =""
if (not targetList is None):
if targetList:
if not targetList[0] is None:
targetNames = " targets: "
for t in targetList:
targetNames+=t.Name+', '
targetNames = targetNames[:-2]
rebelString = ""
if (not listOfRebels is None):
if listOfRebels:
rebelString = "\n== People who rebelled: "
for r in listOfRebels:
# my god I goofed out. Dictionary in python is not meant to be used backwards
# and so I ended up with this monstrosity. Oh well.
tmpString = list(PlayerClass.Player.rebelReasonDict.keys())[list(PlayerClass.Player.rebelReasonDict.values()).index(r["cause"])]
rebelString+="{0} for {1}, ".format(r["rebel"].Name,tmpString)
rebelString = rebelString[:-2]
originatorsText = ""
if (not originators is None):
if originators:
originatorsText = " originators:"
for o in originators:
originatorsText+=o.Name+', '
originatorsText = originatorsText[:-2]
stringToWriteToLog = "\n==== Action Performed: {0}, result:{1}\n== Action performed by:{2}".format(action.name,textToPrint,playerNames)
stringToWriteToLog+=targetNames+originatorsText+rebelString+'\n'
self.theLog.writeToLog(stringToWriteToLog)
# Writes information about gained and lost afflictions
def writeAfflictionInformationToLog(self,player,afflictionChanges):
afflictionStringToWrite = ""
if afflictionChanges[0]: # added afflictions
if len(afflictionChanges[0]) == 1:
afflictionStringToWrite+="\t{} gained affliction: ".format(player.Name)
else:
afflictionStringToWrite+="\t{} gained afflictions: ".format(player.Name)
for a in afflictionChanges[0]:
afflictionStringToWrite+="{}, ".format(a.name)
afflictionStringToWrite = afflictionStringToWrite[:-2]
afflictionStringToWrite+='\n'
if afflictionChanges[1]: # removed afflictions
if len(afflictionChanges[1]) == 1:
afflictionStringToWrite+="\t{} lost affliction: ".format(player.Name)
else:
afflictionStringToWrite+="\t{} lost afflictions: ".format(player.Name)
for a in afflictionChanges[1]:
afflictionStringToWrite+="{}, ".format(a.name)
afflictionStringToWrite = afflictionStringToWrite[:-2]
afflictionStringToWrite+='\n'
if not afflictionStringToWrite == "":
self.theLog.writeToLog(afflictionStringToWrite)
# gives all players an unique id - becuase things go bad if they are not unique.
def giveAllPlayersUniqueIDs(self):
listOfUsedIDs = []
id = 0
for team in self.listOfTeams:
for player in team.playerList:
while id in listOfUsedIDs:
id = random.randint(1,100000)
player.id = id
listOfUsedIDs.append(id)
# of course, targets have no say in if they want to be a part of an action or not.
# returns a list of rebels
def detectRebelsAndRemoveThemFromParticipants(self, listOfPlayers, ideaOriginators):
listOfRebels = []
listOfParticipants = []
rebelReason = None
for player in listOfPlayers:
rebelReason = player.isRebel()
if rebelReason != PlayerClass.Player.rebelReasonDict["no rebel"] and not player in ideaOriginators:
listOfRebels.append({"rebel":player,"cause":copy.deepcopy(rebelReason)})
else:
listOfParticipants.append(player)
return listOfRebels,listOfParticipants
# Well. This method takes care of bumps
# If there was no bump, or bump didn't interrupted current action
def takeCareOfBump(self, listOfPlayers,target):
listOfBumpablePlayers = []
return True
class Team:
# listOfPlayers - list with players as elements
def __init__(self,listOfPlayers):
self.playerList = listOfPlayers
self.allPlayersFinished = False
# returns a player from list. None, if player is not in team.
# name - either string or int
def getPlayer(self,name):
if type(name) is int:
for p in self.playerList:
if p.id == name:
return p
elif type(name) is str:
for p in self.playerList:
if p.Name == name:
return p
else:
raise Exception("Wrong parameter type")
return None
# checks if all players have finished the day.
# dayTimeLimit - int
def checkAllPlayersFinished(self,dayTimeLimit):
for p in self.playerList:
if p.simTime<dayTimeLimit:
self.allPlayersFinished = False
self.allPlayersFinished = True
# sets all players time in the team to zero
def resetPlayersTime(self):
for p in self.playerList:
p.simTime = 0
# checks, if all players have the same time.
# players with different times can't perform an action together.
# becasue they are in different points in time
def areAllPlayersTheSameTime(self):
time = self.playerList[0].simTime
for p in self.playerList:
if not p.simTime == time:
return False
return True
# Returns list of players with the same time
def listOfPlayersWithGivenTime(self,time):
listToReturn = []
for p in self.playerList:
if p.simTime == time:
listToReturn.append(p)
return listToReturn
# removes player from team. Returns true if player was removed.
# name - str or int
def removePlayer(self,name):
for p in self.playerList:
if p.Name == name or p.id == name:
self.playerList.remove(p)
return True
return False
# --- test ---
pl = PlayerClass.Player(0)
pl.BaseWisdom = 5
pl.Name = "Jan Kowalski"
pl.calculateStartStatistics()
pl2 = PlayerClass.Player(0)
pl2.BaseWisdom = 0
pl2.Name = "Adam Nowak"
pl2.calculateStartStatistics()
team = Team([pl,pl2])
theLog = Log.LogObject('log1')
s = Sym('log1')
s.listOfTeams.append(team)
s.giveAllPlayersUniqueIDs()
for x in range(1,100):
theLog.writeToLog("\n~~ DAY {}~~\n\n".format(x))
s.runForADay()
|
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"""Generated message classes for dataflow version v1b3.
Develops and executes data processing patterns like ETL, batch computation,
and continuous computation.
"""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'dataflow'
class ApproximateProgress(_messages.Message):
"""Obsolete in favor of ApproximateReportedProgress and
ApproximateSplitRequest.
Fields:
percentComplete: Obsolete.
position: Obsolete.
remainingTime: Obsolete.
"""
percentComplete = _messages.FloatField(1, variant=_messages.Variant.FLOAT)
position = _messages.MessageField('Position', 2)
remainingTime = _messages.StringField(3)
class ApproximateReportedProgress(_messages.Message):
"""A progress measurement of a WorkItem by a worker.
Fields:
consumedParallelism: Total amount of parallelism in the portion of input
of this task that has already been consumed and is no longer active. In
the first two examples above (see remaining_parallelism), the value
should be 29 or 2 respectively. The sum of remaining_parallelism and
consumed_parallelism should equal the total amount of parallelism in
this work item. If specified, must be finite.
fractionConsumed: Completion as fraction of the input consumed, from 0.0
(beginning, nothing consumed), to 1.0 (end of the input, entire input
consumed).
position: A Position within the work to represent a progress.
remainingParallelism: Total amount of parallelism in the input of this
task that remains, (i.e. can be delegated to this task and any new tasks
via dynamic splitting). Always at least 1 for non-finished work items
and 0 for finished. "Amount of parallelism" refers to how many non-
empty parts of the input can be read in parallel. This does not
necessarily equal number of records. An input that can be read in
parallel down to the individual records is called "perfectly
splittable". An example of non-perfectly parallelizable input is a
block-compressed file format where a block of records has to be read as
a whole, but different blocks can be read in parallel. Examples: * If
we are processing record #30 (starting at 1) out of 50 in a perfectly
splittable 50-record input, this value should be 21 (20 remaining + 1
current). * If we are reading through block 3 in a block-compressed file
consisting of 5 blocks, this value should be 3 (since blocks 4 and 5
can be processed in parallel by new tasks via dynamic splitting and
the current task remains processing block 3). * If we are reading
through the last block in a block-compressed file, or reading or
processing the last record in a perfectly splittable input, this value
should be 1, because apart from the current task, no additional
remainder can be split off.
"""
consumedParallelism = _messages.MessageField('ReportedParallelism', 1)
fractionConsumed = _messages.FloatField(2)
position = _messages.MessageField('Position', 3)
remainingParallelism = _messages.MessageField('ReportedParallelism', 4)
class ApproximateSplitRequest(_messages.Message):
"""A suggestion by the service to the worker to dynamically split the
WorkItem.
Fields:
fractionConsumed: A fraction at which to split the work item, from 0.0
(beginning of the input) to 1.0 (end of the input).
position: A Position at which to split the work item.
"""
fractionConsumed = _messages.FloatField(1)
position = _messages.MessageField('Position', 2)
class AutoscalingEvent(_messages.Message):
"""A structured message reporting an autoscaling decision made by the
Dataflow service.
Enums:
EventTypeValueValuesEnum: The type of autoscaling event to report.
Fields:
currentNumWorkers: The current number of workers the job has.
description: A message describing why the system decided to adjust the
current number of workers, why it failed, or why the system decided to
not make any changes to the number of workers.
eventType: The type of autoscaling event to report.
targetNumWorkers: The target number of workers the worker pool wants to
resize to use.
time: The time this event was emitted to indicate a new target or current
num_workers value.
"""
class EventTypeValueValuesEnum(_messages.Enum):
"""The type of autoscaling event to report.
Values:
TYPE_UNKNOWN: Default type for the enum. Value should never be
returned.
TARGET_NUM_WORKERS_CHANGED: The TARGET_NUM_WORKERS_CHANGED type should
be used when the target worker pool size has changed at the start of
an actuation. An event should always be specified as
TARGET_NUM_WORKERS_CHANGED if it reflects a change in the
target_num_workers.
CURRENT_NUM_WORKERS_CHANGED: The CURRENT_NUM_WORKERS_CHANGED type should
be used when actual worker pool size has been changed, but the
target_num_workers has not changed.
ACTUATION_FAILURE: The ACTUATION_FAILURE type should be used when we
want to report an error to the user indicating why the current number
of workers in the pool could not be changed. Displayed in the current
status and history widgets.
NO_CHANGE: Used when we want to report to the user a reason why we are
not currently adjusting the number of workers. Should specify both
target_num_workers, current_num_workers and a decision_message.
"""
TYPE_UNKNOWN = 0
TARGET_NUM_WORKERS_CHANGED = 1
CURRENT_NUM_WORKERS_CHANGED = 2
ACTUATION_FAILURE = 3
NO_CHANGE = 4
currentNumWorkers = _messages.IntegerField(1)
description = _messages.MessageField('StructuredMessage', 2)
eventType = _messages.EnumField('EventTypeValueValuesEnum', 3)
targetNumWorkers = _messages.IntegerField(4)
time = _messages.StringField(5)
class AutoscalingSettings(_messages.Message):
"""Settings for WorkerPool autoscaling.
Enums:
AlgorithmValueValuesEnum: The algorithm to use for autoscaling.
Fields:
algorithm: The algorithm to use for autoscaling.
maxNumWorkers: The maximum number of workers to cap scaling at.
"""
class AlgorithmValueValuesEnum(_messages.Enum):
"""The algorithm to use for autoscaling.
Values:
AUTOSCALING_ALGORITHM_UNKNOWN: The algorithm is unknown, or unspecified.
AUTOSCALING_ALGORITHM_NONE: Disable autoscaling.
AUTOSCALING_ALGORITHM_BASIC: Increase worker count over time to reduce
job execution time.
"""
AUTOSCALING_ALGORITHM_UNKNOWN = 0
AUTOSCALING_ALGORITHM_NONE = 1
AUTOSCALING_ALGORITHM_BASIC = 2
algorithm = _messages.EnumField('AlgorithmValueValuesEnum', 1)
maxNumWorkers = _messages.IntegerField(2, variant=_messages.Variant.INT32)
class CPUTime(_messages.Message):
"""Modeled after information exposed by /proc/stat.
Fields:
rate: Average CPU utilization rate (% non-idle cpu / second) since
previous sample.
timestamp: Timestamp of the measurement.
totalMs: Total active CPU time across all cores (ie., non-idle) in
milliseconds since start-up.
"""
rate = _messages.FloatField(1)
timestamp = _messages.StringField(2)
totalMs = _messages.IntegerField(3, variant=_messages.Variant.UINT64)
class ComponentSource(_messages.Message):
"""Description of an interstitial value between transforms in an execution
stage.
Fields:
name: Dataflow service generated name for this source.
originalTransformOrCollection: User name for the original user transform
or collection with which this source is most closely associated.
userName: Human-readable name for this transform; may be user or system
generated.
"""
name = _messages.StringField(1)
originalTransformOrCollection = _messages.StringField(2)
userName = _messages.StringField(3)
class ComponentTransform(_messages.Message):
"""Description of a transform executed as part of an execution stage.
Fields:
name: Dataflow service generated name for this source.
originalTransform: User name for the original user transform with which
this transform is most closely associated.
userName: Human-readable name for this transform; may be user or system
generated.
"""
name = _messages.StringField(1)
originalTransform = _messages.StringField(2)
userName = _messages.StringField(3)
class ComputationTopology(_messages.Message):
"""All configuration data for a particular Computation.
Fields:
computationId: The ID of the computation.
inputs: The inputs to the computation.
keyRanges: The key ranges processed by the computation.
outputs: The outputs from the computation.
stateFamilies: The state family values.
systemStageName: The system stage name.
"""
computationId = _messages.StringField(1)
inputs = _messages.MessageField('StreamLocation', 2, repeated=True)
keyRanges = _messages.MessageField('KeyRangeLocation', 3, repeated=True)
outputs = _messages.MessageField('StreamLocation', 4, repeated=True)
stateFamilies = _messages.MessageField('StateFamilyConfig', 5, repeated=True)
systemStageName = _messages.StringField(6)
class ConcatPosition(_messages.Message):
"""A position that encapsulates an inner position and an index for the inner
position. A ConcatPosition can be used by a reader of a source that
encapsulates a set of other sources.
Fields:
index: Index of the inner source.
position: Position within the inner source.
"""
index = _messages.IntegerField(1, variant=_messages.Variant.INT32)
position = _messages.MessageField('Position', 2)
class CounterMetadata(_messages.Message):
"""CounterMetadata includes all static non-name non-value counter
attributes.
Enums:
KindValueValuesEnum: Counter aggregation kind.
StandardUnitsValueValuesEnum: System defined Units, see above enum.
Fields:
description: Human-readable description of the counter semantics.
kind: Counter aggregation kind.
otherUnits: A string referring to the unit type.
standardUnits: System defined Units, see above enum.
"""
class KindValueValuesEnum(_messages.Enum):
"""Counter aggregation kind.
Values:
INVALID: Counter aggregation kind was not set.
SUM: Aggregated value is the sum of all contributed values.
MAX: Aggregated value is the max of all contributed values.
MIN: Aggregated value is the min of all contributed values.
MEAN: Aggregated value is the mean of all contributed values.
OR: Aggregated value represents the logical 'or' of all contributed
values.
AND: Aggregated value represents the logical 'and' of all contributed
values.
SET: Aggregated value is a set of unique contributed values.
DISTRIBUTION: Aggregated value captures statistics about a distribution.
LATEST_VALUE: Aggregated value tracks the latest value of a variable.
"""
INVALID = 0
SUM = 1
MAX = 2
MIN = 3
MEAN = 4
OR = 5
AND = 6
SET = 7
DISTRIBUTION = 8
LATEST_VALUE = 9
class StandardUnitsValueValuesEnum(_messages.Enum):
"""System defined Units, see above enum.
Values:
BYTES: Counter returns a value in bytes.
BYTES_PER_SEC: Counter returns a value in bytes per second.
MILLISECONDS: Counter returns a value in milliseconds.
MICROSECONDS: Counter returns a value in microseconds.
NANOSECONDS: Counter returns a value in nanoseconds.
TIMESTAMP_MSEC: Counter returns a timestamp in milliseconds.
TIMESTAMP_USEC: Counter returns a timestamp in microseconds.
TIMESTAMP_NSEC: Counter returns a timestamp in nanoseconds.
"""
BYTES = 0
BYTES_PER_SEC = 1
MILLISECONDS = 2
MICROSECONDS = 3
NANOSECONDS = 4
TIMESTAMP_MSEC = 5
TIMESTAMP_USEC = 6
TIMESTAMP_NSEC = 7
description = _messages.StringField(1)
kind = _messages.EnumField('KindValueValuesEnum', 2)
otherUnits = _messages.StringField(3)
standardUnits = _messages.EnumField('StandardUnitsValueValuesEnum', 4)
class CounterStructuredName(_messages.Message):
"""Identifies a counter within a per-job namespace. Counters whose
structured names are the same get merged into a single value for the job.
Enums:
OriginValueValuesEnum: One of the standard Origins defined above.
PortionValueValuesEnum: Portion of this counter, either key or value.
Fields:
componentStepName: Name of the optimized step being executed by the
workers.
executionStepName: Name of the stage. An execution step contains multiple
component steps.
inputIndex: Index of an input collection that's being read from/written to
as a side input. The index identifies a step's side inputs starting by 1
(e.g. the first side input has input_index 1, the third has input_index
3). Side inputs are identified by a pair of (original_step_name,
input_index). This field helps uniquely identify them.
name: Counter name. Not necessarily globally-unique, but unique within the
context of the other fields. Required.
origin: One of the standard Origins defined above.
originNamespace: A string containing a more specific namespace of the
counter's origin.
originalRequestingStepName: The step name requesting an operation, such as
GBK. I.e. the ParDo causing a read/write from shuffle to occur, or a
read from side inputs.
originalStepName: System generated name of the original step in the user's
graph, before optimization.
portion: Portion of this counter, either key or value.
workerId: ID of a particular worker.
"""
class OriginValueValuesEnum(_messages.Enum):
"""One of the standard Origins defined above.
Values:
SYSTEM: Counter was created by the Dataflow system.
USER: Counter was created by the user.
"""
SYSTEM = 0
USER = 1
class PortionValueValuesEnum(_messages.Enum):
"""Portion of this counter, either key or value.
Values:
ALL: Counter portion has not been set.
KEY: Counter reports a key.
VALUE: Counter reports a value.
"""
ALL = 0
KEY = 1
VALUE = 2
componentStepName = _messages.StringField(1)
executionStepName = _messages.StringField(2)
inputIndex = _messages.IntegerField(3, variant=_messages.Variant.INT32)
name = _messages.StringField(4)
origin = _messages.EnumField('OriginValueValuesEnum', 5)
originNamespace = _messages.StringField(6)
originalRequestingStepName = _messages.StringField(7)
originalStepName = _messages.StringField(8)
portion = _messages.EnumField('PortionValueValuesEnum', 9)
workerId = _messages.StringField(10)
class CounterStructuredNameAndMetadata(_messages.Message):
"""A single message which encapsulates structured name and metadata for a
given counter.
Fields:
metadata: Metadata associated with a counter
name: Structured name of the counter.
"""
metadata = _messages.MessageField('CounterMetadata', 1)
name = _messages.MessageField('CounterStructuredName', 2)
class CounterUpdate(_messages.Message):
"""An update to a Counter sent from a worker.
Fields:
boolean: Boolean value for And, Or.
cumulative: True if this counter is reported as the total cumulative
aggregate value accumulated since the worker started working on this
WorkItem. By default this is false, indicating that this counter is
reported as a delta.
distribution: Distribution data
floatingPoint: Floating point value for Sum, Max, Min.
floatingPointList: List of floating point numbers, for Set.
floatingPointMean: Floating point mean aggregation value for Mean.
integer: Integer value for Sum, Max, Min.
integerGauge: Gauge data
integerList: List of integers, for Set.
integerMean: Integer mean aggregation value for Mean.
internal: Value for internally-defined counters used by the Dataflow
service.
nameAndKind: Counter name and aggregation type.
shortId: The service-generated short identifier for this counter. The
short_id -> (name, metadata) mapping is constant for the lifetime of a
job.
stringList: List of strings, for Set.
structuredNameAndMetadata: Counter structured name and metadata.
"""
boolean = _messages.BooleanField(1)
cumulative = _messages.BooleanField(2)
distribution = _messages.MessageField('DistributionUpdate', 3)
floatingPoint = _messages.FloatField(4)
floatingPointList = _messages.MessageField('FloatingPointList', 5)
floatingPointMean = _messages.MessageField('FloatingPointMean', 6)
integer = _messages.MessageField('SplitInt64', 7)
integerGauge = _messages.MessageField('IntegerGauge', 8)
integerList = _messages.MessageField('IntegerList', 9)
integerMean = _messages.MessageField('IntegerMean', 10)
internal = _messages.MessageField('extra_types.JsonValue', 11)
nameAndKind = _messages.MessageField('NameAndKind', 12)
shortId = _messages.IntegerField(13)
stringList = _messages.MessageField('StringList', 14)
structuredNameAndMetadata = _messages.MessageField('CounterStructuredNameAndMetadata', 15)
class CreateJobFromTemplateRequest(_messages.Message):
"""A request to create a Cloud Dataflow job from a template.
Messages:
ParametersValue: The runtime parameters to pass to the job.
Fields:
environment: The runtime environment for the job.
gcsPath: Required. A Cloud Storage path to the template from which to
create the job. Must be a valid Cloud Storage URL, beginning with
`gs://`.
jobName: Required. The job name to use for the created job.
location: The location to which to direct the request.
parameters: The runtime parameters to pass to the job.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class ParametersValue(_messages.Message):
"""The runtime parameters to pass to the job.
Messages:
AdditionalProperty: An additional property for a ParametersValue object.
Fields:
additionalProperties: Additional properties of type ParametersValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ParametersValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
environment = _messages.MessageField('RuntimeEnvironment', 1)
gcsPath = _messages.StringField(2)
jobName = _messages.StringField(3)
location = _messages.StringField(4)
parameters = _messages.MessageField('ParametersValue', 5)
class CustomSourceLocation(_messages.Message):
"""Identifies the location of a custom souce.
Fields:
stateful: Whether this source is stateful.
"""
stateful = _messages.BooleanField(1)
class DataDiskAssignment(_messages.Message):
"""Data disk assignment for a given VM instance.
Fields:
dataDisks: Mounted data disks. The order is important a data disk's
0-based index in this list defines which persistent directory the disk
is mounted to, for example the list of {
"myproject-1014-104817-4c2-harness-0-disk-0" }, {
"myproject-1014-104817-4c2-harness-0-disk-1" }.
vmInstance: VM instance name the data disks mounted to, for example
"myproject-1014-104817-4c2-harness-0".
"""
dataDisks = _messages.StringField(1, repeated=True)
vmInstance = _messages.StringField(2)
class DataflowProjectsJobsAggregatedRequest(_messages.Message):
"""A DataflowProjectsJobsAggregatedRequest object.
Enums:
FilterValueValuesEnum: The kind of filter to use.
ViewValueValuesEnum: Level of information requested in response. Default
is `JOB_VIEW_SUMMARY`.
Fields:
filter: The kind of filter to use.
location: The location that contains this job.
pageSize: If there are many jobs, limit response to at most this many. The
actual number of jobs returned will be the lesser of max_responses and
an unspecified server-defined limit.
pageToken: Set this to the 'next_page_token' field of a previous response
to request additional results in a long list.
projectId: The project which owns the jobs.
view: Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
"""
class FilterValueValuesEnum(_messages.Enum):
"""The kind of filter to use.
Values:
UNKNOWN: <no description>
ALL: <no description>
TERMINATED: <no description>
ACTIVE: <no description>
"""
UNKNOWN = 0
ALL = 1
TERMINATED = 2
ACTIVE = 3
class ViewValueValuesEnum(_messages.Enum):
"""Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
filter = _messages.EnumField('FilterValueValuesEnum', 1)
location = _messages.StringField(2)
pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(4)
projectId = _messages.StringField(5, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 6)
class DataflowProjectsJobsCreateRequest(_messages.Message):
"""A DataflowProjectsJobsCreateRequest object.
Enums:
ViewValueValuesEnum: The level of information requested in response.
Fields:
job: A Job resource to be passed as the request body.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
replaceJobId: Deprecated. This field is now in the Job message.
view: The level of information requested in response.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The level of information requested in response.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
job = _messages.MessageField('Job', 1)
location = _messages.StringField(2)
projectId = _messages.StringField(3, required=True)
replaceJobId = _messages.StringField(4)
view = _messages.EnumField('ViewValueValuesEnum', 5)
class DataflowProjectsJobsDebugGetConfigRequest(_messages.Message):
"""A DataflowProjectsJobsDebugGetConfigRequest object.
Fields:
getDebugConfigRequest: A GetDebugConfigRequest resource to be passed as
the request body.
jobId: The job id.
projectId: The project id.
"""
getDebugConfigRequest = _messages.MessageField('GetDebugConfigRequest', 1)
jobId = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
class DataflowProjectsJobsDebugSendCaptureRequest(_messages.Message):
"""A DataflowProjectsJobsDebugSendCaptureRequest object.
Fields:
jobId: The job id.
projectId: The project id.
sendDebugCaptureRequest: A SendDebugCaptureRequest resource to be passed
as the request body.
"""
jobId = _messages.StringField(1, required=True)
projectId = _messages.StringField(2, required=True)
sendDebugCaptureRequest = _messages.MessageField('SendDebugCaptureRequest', 3)
class DataflowProjectsJobsGetMetricsRequest(_messages.Message):
"""A DataflowProjectsJobsGetMetricsRequest object.
Fields:
jobId: The job to get messages for.
location: The location which contains the job specified by job_id.
projectId: A project id.
startTime: Return only metric data that has changed since this time.
Default is to return all information about all metrics for the job.
"""
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2)
projectId = _messages.StringField(3, required=True)
startTime = _messages.StringField(4)
class DataflowProjectsJobsGetRequest(_messages.Message):
"""A DataflowProjectsJobsGetRequest object.
Enums:
ViewValueValuesEnum: The level of information requested in response.
Fields:
jobId: The job ID.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
view: The level of information requested in response.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The level of information requested in response.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2)
projectId = _messages.StringField(3, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 4)
class DataflowProjectsJobsListRequest(_messages.Message):
"""A DataflowProjectsJobsListRequest object.
Enums:
FilterValueValuesEnum: The kind of filter to use.
ViewValueValuesEnum: Level of information requested in response. Default
is `JOB_VIEW_SUMMARY`.
Fields:
filter: The kind of filter to use.
location: The location that contains this job.
pageSize: If there are many jobs, limit response to at most this many. The
actual number of jobs returned will be the lesser of max_responses and
an unspecified server-defined limit.
pageToken: Set this to the 'next_page_token' field of a previous response
to request additional results in a long list.
projectId: The project which owns the jobs.
view: Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
"""
class FilterValueValuesEnum(_messages.Enum):
"""The kind of filter to use.
Values:
UNKNOWN: <no description>
ALL: <no description>
TERMINATED: <no description>
ACTIVE: <no description>
"""
UNKNOWN = 0
ALL = 1
TERMINATED = 2
ACTIVE = 3
class ViewValueValuesEnum(_messages.Enum):
"""Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
filter = _messages.EnumField('FilterValueValuesEnum', 1)
location = _messages.StringField(2)
pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(4)
projectId = _messages.StringField(5, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 6)
class DataflowProjectsJobsMessagesListRequest(_messages.Message):
"""A DataflowProjectsJobsMessagesListRequest object.
Enums:
MinimumImportanceValueValuesEnum: Filter to only get messages with
importance >= level
Fields:
endTime: Return only messages with timestamps < end_time. The default is
now (i.e. return up to the latest messages available).
jobId: The job to get messages about.
location: The location which contains the job specified by job_id.
minimumImportance: Filter to only get messages with importance >= level
pageSize: If specified, determines the maximum number of messages to
return. If unspecified, the service may choose an appropriate default,
or may return an arbitrarily large number of results.
pageToken: If supplied, this should be the value of next_page_token
returned by an earlier call. This will cause the next page of results to
be returned.
projectId: A project id.
startTime: If specified, return only messages with timestamps >=
start_time. The default is the job creation time (i.e. beginning of
messages).
"""
class MinimumImportanceValueValuesEnum(_messages.Enum):
"""Filter to only get messages with importance >= level
Values:
JOB_MESSAGE_IMPORTANCE_UNKNOWN: <no description>
JOB_MESSAGE_DEBUG: <no description>
JOB_MESSAGE_DETAILED: <no description>
JOB_MESSAGE_BASIC: <no description>
JOB_MESSAGE_WARNING: <no description>
JOB_MESSAGE_ERROR: <no description>
"""
JOB_MESSAGE_IMPORTANCE_UNKNOWN = 0
JOB_MESSAGE_DEBUG = 1
JOB_MESSAGE_DETAILED = 2
JOB_MESSAGE_BASIC = 3
JOB_MESSAGE_WARNING = 4
JOB_MESSAGE_ERROR = 5
endTime = _messages.StringField(1)
jobId = _messages.StringField(2, required=True)
location = _messages.StringField(3)
minimumImportance = _messages.EnumField('MinimumImportanceValueValuesEnum', 4)
pageSize = _messages.IntegerField(5, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(6)
projectId = _messages.StringField(7, required=True)
startTime = _messages.StringField(8)
class DataflowProjectsJobsUpdateRequest(_messages.Message):
"""A DataflowProjectsJobsUpdateRequest object.
Fields:
job: A Job resource to be passed as the request body.
jobId: The job ID.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
"""
job = _messages.MessageField('Job', 1)
jobId = _messages.StringField(2, required=True)
location = _messages.StringField(3)
projectId = _messages.StringField(4, required=True)
class DataflowProjectsJobsWorkItemsLeaseRequest(_messages.Message):
"""A DataflowProjectsJobsWorkItemsLeaseRequest object.
Fields:
jobId: Identifies the workflow job this worker belongs to.
leaseWorkItemRequest: A LeaseWorkItemRequest resource to be passed as the
request body.
projectId: Identifies the project this worker belongs to.
"""
jobId = _messages.StringField(1, required=True)
leaseWorkItemRequest = _messages.MessageField('LeaseWorkItemRequest', 2)
projectId = _messages.StringField(3, required=True)
class DataflowProjectsJobsWorkItemsReportStatusRequest(_messages.Message):
"""A DataflowProjectsJobsWorkItemsReportStatusRequest object.
Fields:
jobId: The job which the WorkItem is part of.
projectId: The project which owns the WorkItem's job.
reportWorkItemStatusRequest: A ReportWorkItemStatusRequest resource to be
passed as the request body.
"""
jobId = _messages.StringField(1, required=True)
projectId = _messages.StringField(2, required=True)
reportWorkItemStatusRequest = _messages.MessageField('ReportWorkItemStatusRequest', 3)
class DataflowProjectsLocationsJobsCreateRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsCreateRequest object.
Enums:
ViewValueValuesEnum: The level of information requested in response.
Fields:
job: A Job resource to be passed as the request body.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
replaceJobId: Deprecated. This field is now in the Job message.
view: The level of information requested in response.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The level of information requested in response.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
job = _messages.MessageField('Job', 1)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
replaceJobId = _messages.StringField(4)
view = _messages.EnumField('ViewValueValuesEnum', 5)
class DataflowProjectsLocationsJobsDebugGetConfigRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsDebugGetConfigRequest object.
Fields:
getDebugConfigRequest: A GetDebugConfigRequest resource to be passed as
the request body.
jobId: The job id.
location: The location which contains the job specified by job_id.
projectId: The project id.
"""
getDebugConfigRequest = _messages.MessageField('GetDebugConfigRequest', 1)
jobId = _messages.StringField(2, required=True)
location = _messages.StringField(3, required=True)
projectId = _messages.StringField(4, required=True)
class DataflowProjectsLocationsJobsDebugSendCaptureRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsDebugSendCaptureRequest object.
Fields:
jobId: The job id.
location: The location which contains the job specified by job_id.
projectId: The project id.
sendDebugCaptureRequest: A SendDebugCaptureRequest resource to be passed
as the request body.
"""
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
sendDebugCaptureRequest = _messages.MessageField('SendDebugCaptureRequest', 4)
class DataflowProjectsLocationsJobsGetMetricsRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsGetMetricsRequest object.
Fields:
jobId: The job to get messages for.
location: The location which contains the job specified by job_id.
projectId: A project id.
startTime: Return only metric data that has changed since this time.
Default is to return all information about all metrics for the job.
"""
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
startTime = _messages.StringField(4)
class DataflowProjectsLocationsJobsGetRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsGetRequest object.
Enums:
ViewValueValuesEnum: The level of information requested in response.
Fields:
jobId: The job ID.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
view: The level of information requested in response.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The level of information requested in response.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 4)
class DataflowProjectsLocationsJobsListRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsListRequest object.
Enums:
FilterValueValuesEnum: The kind of filter to use.
ViewValueValuesEnum: Level of information requested in response. Default
is `JOB_VIEW_SUMMARY`.
Fields:
filter: The kind of filter to use.
location: The location that contains this job.
pageSize: If there are many jobs, limit response to at most this many. The
actual number of jobs returned will be the lesser of max_responses and
an unspecified server-defined limit.
pageToken: Set this to the 'next_page_token' field of a previous response
to request additional results in a long list.
projectId: The project which owns the jobs.
view: Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
"""
class FilterValueValuesEnum(_messages.Enum):
"""The kind of filter to use.
Values:
UNKNOWN: <no description>
ALL: <no description>
TERMINATED: <no description>
ACTIVE: <no description>
"""
UNKNOWN = 0
ALL = 1
TERMINATED = 2
ACTIVE = 3
class ViewValueValuesEnum(_messages.Enum):
"""Level of information requested in response. Default is
`JOB_VIEW_SUMMARY`.
Values:
JOB_VIEW_UNKNOWN: <no description>
JOB_VIEW_SUMMARY: <no description>
JOB_VIEW_ALL: <no description>
JOB_VIEW_DESCRIPTION: <no description>
"""
JOB_VIEW_UNKNOWN = 0
JOB_VIEW_SUMMARY = 1
JOB_VIEW_ALL = 2
JOB_VIEW_DESCRIPTION = 3
filter = _messages.EnumField('FilterValueValuesEnum', 1)
location = _messages.StringField(2, required=True)
pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(4)
projectId = _messages.StringField(5, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 6)
class DataflowProjectsLocationsJobsMessagesListRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsMessagesListRequest object.
Enums:
MinimumImportanceValueValuesEnum: Filter to only get messages with
importance >= level
Fields:
endTime: Return only messages with timestamps < end_time. The default is
now (i.e. return up to the latest messages available).
jobId: The job to get messages about.
location: The location which contains the job specified by job_id.
minimumImportance: Filter to only get messages with importance >= level
pageSize: If specified, determines the maximum number of messages to
return. If unspecified, the service may choose an appropriate default,
or may return an arbitrarily large number of results.
pageToken: If supplied, this should be the value of next_page_token
returned by an earlier call. This will cause the next page of results to
be returned.
projectId: A project id.
startTime: If specified, return only messages with timestamps >=
start_time. The default is the job creation time (i.e. beginning of
messages).
"""
class MinimumImportanceValueValuesEnum(_messages.Enum):
"""Filter to only get messages with importance >= level
Values:
JOB_MESSAGE_IMPORTANCE_UNKNOWN: <no description>
JOB_MESSAGE_DEBUG: <no description>
JOB_MESSAGE_DETAILED: <no description>
JOB_MESSAGE_BASIC: <no description>
JOB_MESSAGE_WARNING: <no description>
JOB_MESSAGE_ERROR: <no description>
"""
JOB_MESSAGE_IMPORTANCE_UNKNOWN = 0
JOB_MESSAGE_DEBUG = 1
JOB_MESSAGE_DETAILED = 2
JOB_MESSAGE_BASIC = 3
JOB_MESSAGE_WARNING = 4
JOB_MESSAGE_ERROR = 5
endTime = _messages.StringField(1)
jobId = _messages.StringField(2, required=True)
location = _messages.StringField(3, required=True)
minimumImportance = _messages.EnumField('MinimumImportanceValueValuesEnum', 4)
pageSize = _messages.IntegerField(5, variant=_messages.Variant.INT32)
pageToken = _messages.StringField(6)
projectId = _messages.StringField(7, required=True)
startTime = _messages.StringField(8)
class DataflowProjectsLocationsJobsUpdateRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsUpdateRequest object.
Fields:
job: A Job resource to be passed as the request body.
jobId: The job ID.
location: The location that contains this job.
projectId: The ID of the Cloud Platform project that the job belongs to.
"""
job = _messages.MessageField('Job', 1)
jobId = _messages.StringField(2, required=True)
location = _messages.StringField(3, required=True)
projectId = _messages.StringField(4, required=True)
class DataflowProjectsLocationsJobsWorkItemsLeaseRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsWorkItemsLeaseRequest object.
Fields:
jobId: Identifies the workflow job this worker belongs to.
leaseWorkItemRequest: A LeaseWorkItemRequest resource to be passed as the
request body.
location: The location which contains the WorkItem's job.
projectId: Identifies the project this worker belongs to.
"""
jobId = _messages.StringField(1, required=True)
leaseWorkItemRequest = _messages.MessageField('LeaseWorkItemRequest', 2)
location = _messages.StringField(3, required=True)
projectId = _messages.StringField(4, required=True)
class DataflowProjectsLocationsJobsWorkItemsReportStatusRequest(_messages.Message):
"""A DataflowProjectsLocationsJobsWorkItemsReportStatusRequest object.
Fields:
jobId: The job which the WorkItem is part of.
location: The location which contains the WorkItem's job.
projectId: The project which owns the WorkItem's job.
reportWorkItemStatusRequest: A ReportWorkItemStatusRequest resource to be
passed as the request body.
"""
jobId = _messages.StringField(1, required=True)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
reportWorkItemStatusRequest = _messages.MessageField('ReportWorkItemStatusRequest', 4)
class DataflowProjectsLocationsTemplatesCreateRequest(_messages.Message):
"""A DataflowProjectsLocationsTemplatesCreateRequest object.
Fields:
createJobFromTemplateRequest: A CreateJobFromTemplateRequest resource to
be passed as the request body.
location: The location to which to direct the request.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
"""
createJobFromTemplateRequest = _messages.MessageField('CreateJobFromTemplateRequest', 1)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
class DataflowProjectsLocationsTemplatesGetRequest(_messages.Message):
"""A DataflowProjectsLocationsTemplatesGetRequest object.
Enums:
ViewValueValuesEnum: The view to retrieve. Defaults to METADATA_ONLY.
Fields:
gcsPath: Required. A Cloud Storage path to the template from which to
create the job. Must be a valid Cloud Storage URL, beginning with
`gs://`.
location: The location to which to direct the request.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
view: The view to retrieve. Defaults to METADATA_ONLY.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The view to retrieve. Defaults to METADATA_ONLY.
Values:
METADATA_ONLY: <no description>
"""
METADATA_ONLY = 0
gcsPath = _messages.StringField(1)
location = _messages.StringField(2, required=True)
projectId = _messages.StringField(3, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 4)
class DataflowProjectsLocationsTemplatesLaunchRequest(_messages.Message):
"""A DataflowProjectsLocationsTemplatesLaunchRequest object.
Fields:
gcsPath: Required. A Cloud Storage path to the template from which to
create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.
launchTemplateParameters: A LaunchTemplateParameters resource to be passed
as the request body.
location: The location to which to direct the request.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
validateOnly: If true, the request is validated but not actually executed.
Defaults to false.
"""
gcsPath = _messages.StringField(1)
launchTemplateParameters = _messages.MessageField('LaunchTemplateParameters', 2)
location = _messages.StringField(3, required=True)
projectId = _messages.StringField(4, required=True)
validateOnly = _messages.BooleanField(5)
class DataflowProjectsLocationsWorkerMessagesRequest(_messages.Message):
"""A DataflowProjectsLocationsWorkerMessagesRequest object.
Fields:
location: The location which contains the job
projectId: The project to send the WorkerMessages to.
sendWorkerMessagesRequest: A SendWorkerMessagesRequest resource to be
passed as the request body.
"""
location = _messages.StringField(1, required=True)
projectId = _messages.StringField(2, required=True)
sendWorkerMessagesRequest = _messages.MessageField('SendWorkerMessagesRequest', 3)
class DataflowProjectsTemplatesCreateRequest(_messages.Message):
"""A DataflowProjectsTemplatesCreateRequest object.
Fields:
createJobFromTemplateRequest: A CreateJobFromTemplateRequest resource to
be passed as the request body.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
"""
createJobFromTemplateRequest = _messages.MessageField('CreateJobFromTemplateRequest', 1)
projectId = _messages.StringField(2, required=True)
class DataflowProjectsTemplatesGetRequest(_messages.Message):
"""A DataflowProjectsTemplatesGetRequest object.
Enums:
ViewValueValuesEnum: The view to retrieve. Defaults to METADATA_ONLY.
Fields:
gcsPath: Required. A Cloud Storage path to the template from which to
create the job. Must be a valid Cloud Storage URL, beginning with
`gs://`.
location: The location to which to direct the request.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
view: The view to retrieve. Defaults to METADATA_ONLY.
"""
class ViewValueValuesEnum(_messages.Enum):
"""The view to retrieve. Defaults to METADATA_ONLY.
Values:
METADATA_ONLY: <no description>
"""
METADATA_ONLY = 0
gcsPath = _messages.StringField(1)
location = _messages.StringField(2)
projectId = _messages.StringField(3, required=True)
view = _messages.EnumField('ViewValueValuesEnum', 4)
class DataflowProjectsTemplatesLaunchRequest(_messages.Message):
"""A DataflowProjectsTemplatesLaunchRequest object.
Fields:
gcsPath: Required. A Cloud Storage path to the template from which to
create the job. Must be valid Cloud Storage URL, beginning with 'gs://'.
launchTemplateParameters: A LaunchTemplateParameters resource to be passed
as the request body.
location: The location to which to direct the request.
projectId: Required. The ID of the Cloud Platform project that the job
belongs to.
validateOnly: If true, the request is validated but not actually executed.
Defaults to false.
"""
gcsPath = _messages.StringField(1)
launchTemplateParameters = _messages.MessageField('LaunchTemplateParameters', 2)
location = _messages.StringField(3)
projectId = _messages.StringField(4, required=True)
validateOnly = _messages.BooleanField(5)
class DataflowProjectsWorkerMessagesRequest(_messages.Message):
"""A DataflowProjectsWorkerMessagesRequest object.
Fields:
projectId: The project to send the WorkerMessages to.
sendWorkerMessagesRequest: A SendWorkerMessagesRequest resource to be
passed as the request body.
"""
projectId = _messages.StringField(1, required=True)
sendWorkerMessagesRequest = _messages.MessageField('SendWorkerMessagesRequest', 2)
class DerivedSource(_messages.Message):
"""Specification of one of the bundles produced as a result of splitting a
Source (e.g. when executing a SourceSplitRequest, or when splitting an
active task using WorkItemStatus.dynamic_source_split), relative to the
source being split.
Enums:
DerivationModeValueValuesEnum: What source to base the produced source on
(if any).
Fields:
derivationMode: What source to base the produced source on (if any).
source: Specification of the source.
"""
class DerivationModeValueValuesEnum(_messages.Enum):
"""What source to base the produced source on (if any).
Values:
SOURCE_DERIVATION_MODE_UNKNOWN: The source derivation is unknown, or
unspecified.
SOURCE_DERIVATION_MODE_INDEPENDENT: Produce a completely independent
Source with no base.
SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT: Produce a Source based on the
Source being split.
SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT: Produce a Source based on the
base of the Source being split.
"""
SOURCE_DERIVATION_MODE_UNKNOWN = 0
SOURCE_DERIVATION_MODE_INDEPENDENT = 1
SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT = 2
SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT = 3
derivationMode = _messages.EnumField('DerivationModeValueValuesEnum', 1)
source = _messages.MessageField('Source', 2)
class Disk(_messages.Message):
"""Describes the data disk used by a workflow job.
Fields:
diskType: Disk storage type, as defined by Google Compute Engine. This
must be a disk type appropriate to the project and zone in which the
workers will run. If unknown or unspecified, the service will attempt
to choose a reasonable default. For example, the standard persistent
disk type is a resource name typically ending in "pd-standard". If SSD
persistent disks are available, the resource name typically ends with
"pd-ssd". The actual valid values are defined the Google Compute Engine
API, not by the Cloud Dataflow API; consult the Google Compute Engine
documentation for more information about determining the set of
available disk types for a particular project and zone. Google Compute
Engine Disk types are local to a particular project in a particular
zone, and so the resource name will typically look something like this:
compute.googleapis.com/projects/project-id/zones/zone/diskTypes/pd-
standard
mountPoint: Directory in a VM where disk is mounted.
sizeGb: Size of disk in GB. If zero or unspecified, the service will
attempt to choose a reasonable default.
"""
diskType = _messages.StringField(1)
mountPoint = _messages.StringField(2)
sizeGb = _messages.IntegerField(3, variant=_messages.Variant.INT32)
class DisplayData(_messages.Message):
"""Data provided with a pipeline or transform to provide descriptive info.
Fields:
boolValue: Contains value if the data is of a boolean type.
durationValue: Contains value if the data is of duration type.
floatValue: Contains value if the data is of float type.
int64Value: Contains value if the data is of int64 type.
javaClassValue: Contains value if the data is of java class type.
key: The key identifying the display data. This is intended to be used as
a label for the display data when viewed in a dax monitoring system.
label: An optional label to display in a dax UI for the element.
namespace: The namespace for the key. This is usually a class name or
programming language namespace (i.e. python module) which defines the
display data. This allows a dax monitoring system to specially handle
the data and perform custom rendering.
shortStrValue: A possible additional shorter value to display. For example
a java_class_name_value of com.mypackage.MyDoFn will be stored with
MyDoFn as the short_str_value and com.mypackage.MyDoFn as the
java_class_name value. short_str_value can be displayed and
java_class_name_value will be displayed as a tooltip.
strValue: Contains value if the data is of string type.
timestampValue: Contains value if the data is of timestamp type.
url: An optional full URL.
"""
boolValue = _messages.BooleanField(1)
durationValue = _messages.StringField(2)
floatValue = _messages.FloatField(3, variant=_messages.Variant.FLOAT)
int64Value = _messages.IntegerField(4)
javaClassValue = _messages.StringField(5)
key = _messages.StringField(6)
label = _messages.StringField(7)
namespace = _messages.StringField(8)
shortStrValue = _messages.StringField(9)
strValue = _messages.StringField(10)
timestampValue = _messages.StringField(11)
url = _messages.StringField(12)
class DistributionUpdate(_messages.Message):
"""A metric value representing a distribution.
Fields:
count: The count of the number of elements present in the distribution.
histogram: (Optional) Histogram of value counts for the distribution.
max: The maximum value present in the distribution.
min: The minimum value present in the distribution.
sum: Use an int64 since we'd prefer the added precision. If overflow is a
common problem we can detect it and use an additional int64 or a double.
sumOfSquares: Use a double since the sum of squares is likely to overflow
int64.
"""
count = _messages.MessageField('SplitInt64', 1)
histogram = _messages.MessageField('Histogram', 2)
max = _messages.MessageField('SplitInt64', 3)
min = _messages.MessageField('SplitInt64', 4)
sum = _messages.MessageField('SplitInt64', 5)
sumOfSquares = _messages.FloatField(6)
class DynamicSourceSplit(_messages.Message):
"""When a task splits using WorkItemStatus.dynamic_source_split, this
message describes the two parts of the split relative to the description of
the current task's input.
Fields:
primary: Primary part (continued to be processed by worker). Specified
relative to the previously-current source. Becomes current.
residual: Residual part (returned to the pool of work). Specified relative
to the previously-current source.
"""
primary = _messages.MessageField('DerivedSource', 1)
residual = _messages.MessageField('DerivedSource', 2)
class Environment(_messages.Message):
"""Describes the environment in which a Dataflow Job runs.
Messages:
InternalExperimentsValue: Experimental settings.
SdkPipelineOptionsValue: The Cloud Dataflow SDK pipeline options specified
by the user. These options are passed through the service and are used
to recreate the SDK pipeline options on the worker in a language
agnostic and platform independent way.
UserAgentValue: A description of the process that generated the request.
VersionValue: A structure describing which components and their versions
of the service are required in order to run the job.
Fields:
clusterManagerApiService: The type of cluster manager API to use. If
unknown or unspecified, the service will attempt to choose a reasonable
default. This should be in the form of the API service name, e.g.
"compute.googleapis.com".
dataset: The dataset for the current project where various workflow
related tables are stored. The supported resource type is: Google
BigQuery: bigquery.googleapis.com/{dataset}
experiments: The list of experiments to enable.
internalExperiments: Experimental settings.
sdkPipelineOptions: The Cloud Dataflow SDK pipeline options specified by
the user. These options are passed through the service and are used to
recreate the SDK pipeline options on the worker in a language agnostic
and platform independent way.
serviceAccountEmail: Identity to run virtual machines as. Defaults to the
default account.
tempStoragePrefix: The prefix of the resources the system should use for
temporary storage. The system will append the suffix "/temp-{JOBNAME}
to this resource prefix, where {JOBNAME} is the value of the job_name
field. The resulting bucket and object prefix is used as the prefix of
the resources used to store temporary data needed during the job
execution. NOTE: This will override the value in taskrunner_settings.
The supported resource type is: Google Cloud Storage:
storage.googleapis.com/{bucket}/{object}
bucket.storage.googleapis.com/{object}
userAgent: A description of the process that generated the request.
version: A structure describing which components and their versions of the
service are required in order to run the job.
workerPools: The worker pools. At least one "harness" worker pool must be
specified in order for the job to have workers.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class InternalExperimentsValue(_messages.Message):
"""Experimental settings.
Messages:
AdditionalProperty: An additional property for a
InternalExperimentsValue object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a InternalExperimentsValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class SdkPipelineOptionsValue(_messages.Message):
"""The Cloud Dataflow SDK pipeline options specified by the user. These
options are passed through the service and are used to recreate the SDK
pipeline options on the worker in a language agnostic and platform
independent way.
Messages:
AdditionalProperty: An additional property for a SdkPipelineOptionsValue
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a SdkPipelineOptionsValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class UserAgentValue(_messages.Message):
"""A description of the process that generated the request.
Messages:
AdditionalProperty: An additional property for a UserAgentValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a UserAgentValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class VersionValue(_messages.Message):
"""A structure describing which components and their versions of the
service are required in order to run the job.
Messages:
AdditionalProperty: An additional property for a VersionValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a VersionValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
clusterManagerApiService = _messages.StringField(1)
dataset = _messages.StringField(2)
experiments = _messages.StringField(3, repeated=True)
internalExperiments = _messages.MessageField('InternalExperimentsValue', 4)
sdkPipelineOptions = _messages.MessageField('SdkPipelineOptionsValue', 5)
serviceAccountEmail = _messages.StringField(6)
tempStoragePrefix = _messages.StringField(7)
userAgent = _messages.MessageField('UserAgentValue', 8)
version = _messages.MessageField('VersionValue', 9)
workerPools = _messages.MessageField('WorkerPool', 10, repeated=True)
class ExecutionStageState(_messages.Message):
"""A message describing the state of a particular execution stage.
Enums:
ExecutionStageStateValueValuesEnum: Executions stage states allow the same
set of values as JobState.
Fields:
currentStateTime: The time at which the stage transitioned to this state.
executionStageName: The name of the execution stage.
executionStageState: Executions stage states allow the same set of values
as JobState.
"""
class ExecutionStageStateValueValuesEnum(_messages.Enum):
"""Executions stage states allow the same set of values as JobState.
Values:
JOB_STATE_UNKNOWN: The job's run state isn't specified.
JOB_STATE_STOPPED: `JOB_STATE_STOPPED` indicates that the job has not
yet started to run.
JOB_STATE_RUNNING: `JOB_STATE_RUNNING` indicates that the job is
currently running.
JOB_STATE_DONE: `JOB_STATE_DONE` indicates that the job has successfully
completed. This is a terminal job state. This state may be set by the
Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It
may also be set via a Cloud Dataflow `UpdateJob` call, if the job has
not yet reached a terminal state.
JOB_STATE_FAILED: `JOB_STATE_FAILED` indicates that the job has failed.
This is a terminal job state. This state may only be set by the Cloud
Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_CANCELLED: `JOB_STATE_CANCELLED` indicates that the job has
been explicitly cancelled. This is a terminal job state. This state
may only be set via a Cloud Dataflow `UpdateJob` call, and only if the
job has not yet reached another terminal state.
JOB_STATE_UPDATED: `JOB_STATE_UPDATED` indicates that the job was
successfully updated, meaning that this job was stopped and another
job was started, inheriting state from this one. This is a terminal
job state. This state may only be set by the Cloud Dataflow service,
and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_DRAINING: `JOB_STATE_DRAINING` indicates that the job is in
the process of draining. A draining job has stopped pulling from its
input sources and is processing any data that remains in-flight. This
state may be set via a Cloud Dataflow `UpdateJob` call, but only as a
transition from `JOB_STATE_RUNNING`. Jobs that are draining may only
transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or
`JOB_STATE_FAILED`.
JOB_STATE_DRAINED: `JOB_STATE_DRAINED` indicates that the job has been
drained. A drained job terminated by stopping pulling from its input
sources and processing any data that remained in-flight when draining
was requested. This state is a terminal state, may only be set by the
Cloud Dataflow service, and only as a transition from
`JOB_STATE_DRAINING`.
JOB_STATE_PENDING: 'JOB_STATE_PENDING' indicates that the job has been
created but is not yet running. Jobs that are pending may only
transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.
JOB_STATE_CANCELLING: 'JOB_STATE_CANCELLING' indicates that the job has
been explicitly cancelled and is in the process of stopping. Jobs
that are cancelling may only transition to 'JOB_STATE_CANCELLED' or
'JOB_STATE_FAILED'.
"""
JOB_STATE_UNKNOWN = 0
JOB_STATE_STOPPED = 1
JOB_STATE_RUNNING = 2
JOB_STATE_DONE = 3
JOB_STATE_FAILED = 4
JOB_STATE_CANCELLED = 5
JOB_STATE_UPDATED = 6
JOB_STATE_DRAINING = 7
JOB_STATE_DRAINED = 8
JOB_STATE_PENDING = 9
JOB_STATE_CANCELLING = 10
currentStateTime = _messages.StringField(1)
executionStageName = _messages.StringField(2)
executionStageState = _messages.EnumField('ExecutionStageStateValueValuesEnum', 3)
class ExecutionStageSummary(_messages.Message):
"""Description of the composing transforms, names/ids, and input/outputs of
a stage of execution. Some composing transforms and sources may have been
generated by the Dataflow service during execution planning.
Enums:
KindValueValuesEnum: Type of tranform this stage is executing.
Fields:
componentSource: Collections produced and consumed by component transforms
of this stage.
componentTransform: Transforms that comprise this execution stage.
id: Dataflow service generated id for this stage.
inputSource: Input sources for this stage.
kind: Type of tranform this stage is executing.
name: Dataflow service generated name for this stage.
outputSource: Output sources for this stage.
"""
class KindValueValuesEnum(_messages.Enum):
"""Type of tranform this stage is executing.
Values:
UNKNOWN_KIND: Unrecognized transform type.
PAR_DO_KIND: ParDo transform.
GROUP_BY_KEY_KIND: Group By Key transform.
FLATTEN_KIND: Flatten transform.
READ_KIND: Read transform.
WRITE_KIND: Write transform.
CONSTANT_KIND: Constructs from a constant value, such as with Create.of.
SINGLETON_KIND: Creates a Singleton view of a collection.
SHUFFLE_KIND: Opening or closing a shuffle session, often as part of a
GroupByKey.
"""
UNKNOWN_KIND = 0
PAR_DO_KIND = 1
GROUP_BY_KEY_KIND = 2
FLATTEN_KIND = 3
READ_KIND = 4
WRITE_KIND = 5
CONSTANT_KIND = 6
SINGLETON_KIND = 7
SHUFFLE_KIND = 8
componentSource = _messages.MessageField('ComponentSource', 1, repeated=True)
componentTransform = _messages.MessageField('ComponentTransform', 2, repeated=True)
id = _messages.StringField(3)
inputSource = _messages.MessageField('StageSource', 4, repeated=True)
kind = _messages.EnumField('KindValueValuesEnum', 5)
name = _messages.StringField(6)
outputSource = _messages.MessageField('StageSource', 7, repeated=True)
class FailedLocation(_messages.Message):
"""Indicates which location failed to respond to a request for data.
Fields:
name: The name of the failed location.
"""
name = _messages.StringField(1)
class FlattenInstruction(_messages.Message):
"""An instruction that copies its inputs (zero or more) to its (single)
output.
Fields:
inputs: Describes the inputs to the flatten instruction.
"""
inputs = _messages.MessageField('InstructionInput', 1, repeated=True)
class FloatingPointList(_messages.Message):
"""A metric value representing a list of floating point numbers.
Fields:
elements: Elements of the list.
"""
elements = _messages.FloatField(1, repeated=True)
class FloatingPointMean(_messages.Message):
"""A representation of a floating point mean metric contribution.
Fields:
count: The number of values being aggregated.
sum: The sum of all values being aggregated.
"""
count = _messages.MessageField('SplitInt64', 1)
sum = _messages.FloatField(2)
class GetDebugConfigRequest(_messages.Message):
"""Request to get updated debug configuration for component.
Fields:
componentId: The internal component id for which debug configuration is
requested.
location: The location which contains the job specified by job_id.
workerId: The worker id, i.e., VM hostname.
"""
componentId = _messages.StringField(1)
location = _messages.StringField(2)
workerId = _messages.StringField(3)
class GetDebugConfigResponse(_messages.Message):
"""Response to a get debug configuration request.
Fields:
config: The encoded debug configuration for the requested component.
"""
config = _messages.StringField(1)
class GetTemplateResponse(_messages.Message):
"""The response to a GetTemplate request.
Fields:
metadata: The template metadata describing the template name, available
parameters, etc.
status: The status of the get template request. Any problems with the
request will be indicated in the error_details.
"""
metadata = _messages.MessageField('TemplateMetadata', 1)
status = _messages.MessageField('Status', 2)
class Histogram(_messages.Message):
"""Histogram of value counts for a distribution. Buckets have an inclusive
lower bound and exclusive upper bound and use "1,2,5 bucketing": The first
bucket range is from [0,1) and all subsequent bucket boundaries are powers
of ten multiplied by 1, 2, or 5. Thus, bucket boundaries are 0, 1, 2, 5, 10,
20, 50, 100, 200, 500, 1000, ... Negative values are not supported.
Fields:
bucketCounts: Counts of values in each bucket. For efficiency, prefix and
trailing buckets with count = 0 are elided. Buckets can store the full
range of values of an unsigned long, with ULLONG_MAX falling into the
59th bucket with range [1e19, 2e19).
firstBucketOffset: Starting index of first stored bucket. The non-
inclusive upper-bound of the ith bucket is given by:
pow(10,(i-first_bucket_offset)/3) * (1,2,5)[(i-first_bucket_offset)%3]
"""
bucketCounts = _messages.IntegerField(1, repeated=True)
firstBucketOffset = _messages.IntegerField(2, variant=_messages.Variant.INT32)
class InstructionInput(_messages.Message):
"""An input of an instruction, as a reference to an output of a producer
instruction.
Fields:
outputNum: The output index (origin zero) within the producer.
producerInstructionIndex: The index (origin zero) of the parallel
instruction that produces the output to be consumed by this input. This
index is relative to the list of instructions in this input's
instruction's containing MapTask.
"""
outputNum = _messages.IntegerField(1, variant=_messages.Variant.INT32)
producerInstructionIndex = _messages.IntegerField(2, variant=_messages.Variant.INT32)
class InstructionOutput(_messages.Message):
"""An output of an instruction.
Messages:
CodecValue: The codec to use to encode data being written via this output.
Fields:
codec: The codec to use to encode data being written via this output.
name: The user-provided name of this output.
onlyCountKeyBytes: For system-generated byte and mean byte metrics,
certain instructions should only report the key size.
onlyCountValueBytes: For system-generated byte and mean byte metrics,
certain instructions should only report the value size.
originalName: System-defined name for this output in the original workflow
graph. Outputs that do not contribute to an original instruction do not
set this.
systemName: System-defined name of this output. Unique across the
workflow.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class CodecValue(_messages.Message):
"""The codec to use to encode data being written via this output.
Messages:
AdditionalProperty: An additional property for a CodecValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a CodecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
codec = _messages.MessageField('CodecValue', 1)
name = _messages.StringField(2)
onlyCountKeyBytes = _messages.BooleanField(3)
onlyCountValueBytes = _messages.BooleanField(4)
originalName = _messages.StringField(5)
systemName = _messages.StringField(6)
class IntegerGauge(_messages.Message):
"""A metric value representing temporal values of a variable.
Fields:
timestamp: The time at which this value was measured. Measured as msecs
from epoch.
value: The value of the variable represented by this gauge.
"""
timestamp = _messages.StringField(1)
value = _messages.MessageField('SplitInt64', 2)
class IntegerList(_messages.Message):
"""A metric value representing a list of integers.
Fields:
elements: Elements of the list.
"""
elements = _messages.MessageField('SplitInt64', 1, repeated=True)
class IntegerMean(_messages.Message):
"""A representation of an integer mean metric contribution.
Fields:
count: The number of values being aggregated.
sum: The sum of all values being aggregated.
"""
count = _messages.MessageField('SplitInt64', 1)
sum = _messages.MessageField('SplitInt64', 2)
class Job(_messages.Message):
"""Defines a job to be run by the Cloud Dataflow service.
Enums:
CurrentStateValueValuesEnum: The current state of the job. Jobs are
created in the `JOB_STATE_STOPPED` state unless otherwise specified. A
job in the `JOB_STATE_RUNNING` state may asynchronously enter a terminal
state. After a job has reached a terminal state, no further state
updates may be made. This field may be mutated by the Cloud Dataflow
service; callers cannot mutate it.
RequestedStateValueValuesEnum: The job's requested state. `UpdateJob` may
be used to switch between the `JOB_STATE_STOPPED` and
`JOB_STATE_RUNNING` states, by setting requested_state. `UpdateJob` may
also be used to directly set a job's requested state to
`JOB_STATE_CANCELLED` or `JOB_STATE_DONE`, irrevocably terminating the
job if it has not already reached a terminal state.
TypeValueValuesEnum: The type of Cloud Dataflow job.
Messages:
LabelsValue: User-defined labels for this job. The labels map can contain
no more than 64 entries. Entries of the labels map are UTF8 strings
that comply with the following restrictions: * Keys must conform to
regexp: \p{Ll}\p{Lo}{0,62} * Values must conform to regexp:
[\p{Ll}\p{Lo}\p{N}_-]{0,63} * Both keys and values are additionally
constrained to be <= 128 bytes in size.
TransformNameMappingValue: The map of transform name prefixes of the job
to be replaced to the corresponding name prefixes of the new job.
Fields:
clientRequestId: The client's unique identifier of the job, re-used across
retried attempts. If this field is set, the service will ensure its
uniqueness. The request to create a job will fail if the service has
knowledge of a previously submitted job with the same client's ID and
job name. The caller may use this field to ensure idempotence of job
creation across retried attempts to create a job. By default, the field
is empty and, in that case, the service ignores it.
createTime: The timestamp when the job was initially created. Immutable
and set by the Cloud Dataflow service.
currentState: The current state of the job. Jobs are created in the
`JOB_STATE_STOPPED` state unless otherwise specified. A job in the
`JOB_STATE_RUNNING` state may asynchronously enter a terminal state.
After a job has reached a terminal state, no further state updates may
be made. This field may be mutated by the Cloud Dataflow service;
callers cannot mutate it.
currentStateTime: The timestamp associated with the current state.
environment: The environment for the job.
executionInfo: Deprecated.
id: The unique ID of this job. This field is set by the Cloud Dataflow
service when the Job is created, and is immutable for the life of the
job.
labels: User-defined labels for this job. The labels map can contain no
more than 64 entries. Entries of the labels map are UTF8 strings that
comply with the following restrictions: * Keys must conform to regexp:
\p{Ll}\p{Lo}{0,62} * Values must conform to regexp:
[\p{Ll}\p{Lo}\p{N}_-]{0,63} * Both keys and values are additionally
constrained to be <= 128 bytes in size.
location: The location that contains this job.
name: The user-specified Cloud Dataflow job name. Only one Job with a
given name may exist in a project at any given time. If a caller
attempts to create a Job with the same name as an already-existing Job,
the attempt returns the existing Job. The name must match the regular
expression `[a-z]([-a-z0-9]{0,38}[a-z0-9])?`
pipelineDescription: Preliminary field: The format of this data may change
at any time. A description of the user pipeline and stages through which
it is executed. Created by Cloud Dataflow service. Only retrieved with
JOB_VIEW_DESCRIPTION or JOB_VIEW_ALL.
projectId: The ID of the Cloud Platform project that the job belongs to.
replaceJobId: If this job is an update of an existing job, this field is
the job ID of the job it replaced. When sending a `CreateJobRequest`,
you can update a job by specifying it here. The job named here is
stopped, and its intermediate state is transferred to this job.
replacedByJobId: If another job is an update of this job (and thus, this
job is in `JOB_STATE_UPDATED`), this field contains the ID of that job.
requestedState: The job's requested state. `UpdateJob` may be used to
switch between the `JOB_STATE_STOPPED` and `JOB_STATE_RUNNING` states,
by setting requested_state. `UpdateJob` may also be used to directly
set a job's requested state to `JOB_STATE_CANCELLED` or
`JOB_STATE_DONE`, irrevocably terminating the job if it has not already
reached a terminal state.
stageStates: This field may be mutated by the Cloud Dataflow service;
callers cannot mutate it.
steps: The top-level steps that constitute the entire job.
tempFiles: A set of files the system should be aware of that are used for
temporary storage. These temporary files will be removed on job
completion. No duplicates are allowed. No file patterns are supported.
The supported files are: Google Cloud Storage:
storage.googleapis.com/{bucket}/{object}
bucket.storage.googleapis.com/{object}
transformNameMapping: The map of transform name prefixes of the job to be
replaced to the corresponding name prefixes of the new job.
type: The type of Cloud Dataflow job.
"""
class CurrentStateValueValuesEnum(_messages.Enum):
"""The current state of the job. Jobs are created in the
`JOB_STATE_STOPPED` state unless otherwise specified. A job in the
`JOB_STATE_RUNNING` state may asynchronously enter a terminal state. After
a job has reached a terminal state, no further state updates may be made.
This field may be mutated by the Cloud Dataflow service; callers cannot
mutate it.
Values:
JOB_STATE_UNKNOWN: The job's run state isn't specified.
JOB_STATE_STOPPED: `JOB_STATE_STOPPED` indicates that the job has not
yet started to run.
JOB_STATE_RUNNING: `JOB_STATE_RUNNING` indicates that the job is
currently running.
JOB_STATE_DONE: `JOB_STATE_DONE` indicates that the job has successfully
completed. This is a terminal job state. This state may be set by the
Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It
may also be set via a Cloud Dataflow `UpdateJob` call, if the job has
not yet reached a terminal state.
JOB_STATE_FAILED: `JOB_STATE_FAILED` indicates that the job has failed.
This is a terminal job state. This state may only be set by the Cloud
Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_CANCELLED: `JOB_STATE_CANCELLED` indicates that the job has
been explicitly cancelled. This is a terminal job state. This state
may only be set via a Cloud Dataflow `UpdateJob` call, and only if the
job has not yet reached another terminal state.
JOB_STATE_UPDATED: `JOB_STATE_UPDATED` indicates that the job was
successfully updated, meaning that this job was stopped and another
job was started, inheriting state from this one. This is a terminal
job state. This state may only be set by the Cloud Dataflow service,
and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_DRAINING: `JOB_STATE_DRAINING` indicates that the job is in
the process of draining. A draining job has stopped pulling from its
input sources and is processing any data that remains in-flight. This
state may be set via a Cloud Dataflow `UpdateJob` call, but only as a
transition from `JOB_STATE_RUNNING`. Jobs that are draining may only
transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or
`JOB_STATE_FAILED`.
JOB_STATE_DRAINED: `JOB_STATE_DRAINED` indicates that the job has been
drained. A drained job terminated by stopping pulling from its input
sources and processing any data that remained in-flight when draining
was requested. This state is a terminal state, may only be set by the
Cloud Dataflow service, and only as a transition from
`JOB_STATE_DRAINING`.
JOB_STATE_PENDING: 'JOB_STATE_PENDING' indicates that the job has been
created but is not yet running. Jobs that are pending may only
transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.
JOB_STATE_CANCELLING: 'JOB_STATE_CANCELLING' indicates that the job has
been explicitly cancelled and is in the process of stopping. Jobs
that are cancelling may only transition to 'JOB_STATE_CANCELLED' or
'JOB_STATE_FAILED'.
"""
JOB_STATE_UNKNOWN = 0
JOB_STATE_STOPPED = 1
JOB_STATE_RUNNING = 2
JOB_STATE_DONE = 3
JOB_STATE_FAILED = 4
JOB_STATE_CANCELLED = 5
JOB_STATE_UPDATED = 6
JOB_STATE_DRAINING = 7
JOB_STATE_DRAINED = 8
JOB_STATE_PENDING = 9
JOB_STATE_CANCELLING = 10
class RequestedStateValueValuesEnum(_messages.Enum):
"""The job's requested state. `UpdateJob` may be used to switch between
the `JOB_STATE_STOPPED` and `JOB_STATE_RUNNING` states, by setting
requested_state. `UpdateJob` may also be used to directly set a job's
requested state to `JOB_STATE_CANCELLED` or `JOB_STATE_DONE`, irrevocably
terminating the job if it has not already reached a terminal state.
Values:
JOB_STATE_UNKNOWN: The job's run state isn't specified.
JOB_STATE_STOPPED: `JOB_STATE_STOPPED` indicates that the job has not
yet started to run.
JOB_STATE_RUNNING: `JOB_STATE_RUNNING` indicates that the job is
currently running.
JOB_STATE_DONE: `JOB_STATE_DONE` indicates that the job has successfully
completed. This is a terminal job state. This state may be set by the
Cloud Dataflow service, as a transition from `JOB_STATE_RUNNING`. It
may also be set via a Cloud Dataflow `UpdateJob` call, if the job has
not yet reached a terminal state.
JOB_STATE_FAILED: `JOB_STATE_FAILED` indicates that the job has failed.
This is a terminal job state. This state may only be set by the Cloud
Dataflow service, and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_CANCELLED: `JOB_STATE_CANCELLED` indicates that the job has
been explicitly cancelled. This is a terminal job state. This state
may only be set via a Cloud Dataflow `UpdateJob` call, and only if the
job has not yet reached another terminal state.
JOB_STATE_UPDATED: `JOB_STATE_UPDATED` indicates that the job was
successfully updated, meaning that this job was stopped and another
job was started, inheriting state from this one. This is a terminal
job state. This state may only be set by the Cloud Dataflow service,
and only as a transition from `JOB_STATE_RUNNING`.
JOB_STATE_DRAINING: `JOB_STATE_DRAINING` indicates that the job is in
the process of draining. A draining job has stopped pulling from its
input sources and is processing any data that remains in-flight. This
state may be set via a Cloud Dataflow `UpdateJob` call, but only as a
transition from `JOB_STATE_RUNNING`. Jobs that are draining may only
transition to `JOB_STATE_DRAINED`, `JOB_STATE_CANCELLED`, or
`JOB_STATE_FAILED`.
JOB_STATE_DRAINED: `JOB_STATE_DRAINED` indicates that the job has been
drained. A drained job terminated by stopping pulling from its input
sources and processing any data that remained in-flight when draining
was requested. This state is a terminal state, may only be set by the
Cloud Dataflow service, and only as a transition from
`JOB_STATE_DRAINING`.
JOB_STATE_PENDING: 'JOB_STATE_PENDING' indicates that the job has been
created but is not yet running. Jobs that are pending may only
transition to `JOB_STATE_RUNNING`, or `JOB_STATE_FAILED`.
JOB_STATE_CANCELLING: 'JOB_STATE_CANCELLING' indicates that the job has
been explicitly cancelled and is in the process of stopping. Jobs
that are cancelling may only transition to 'JOB_STATE_CANCELLED' or
'JOB_STATE_FAILED'.
"""
JOB_STATE_UNKNOWN = 0
JOB_STATE_STOPPED = 1
JOB_STATE_RUNNING = 2
JOB_STATE_DONE = 3
JOB_STATE_FAILED = 4
JOB_STATE_CANCELLED = 5
JOB_STATE_UPDATED = 6
JOB_STATE_DRAINING = 7
JOB_STATE_DRAINED = 8
JOB_STATE_PENDING = 9
JOB_STATE_CANCELLING = 10
class TypeValueValuesEnum(_messages.Enum):
"""The type of Cloud Dataflow job.
Values:
JOB_TYPE_UNKNOWN: The type of the job is unspecified, or unknown.
JOB_TYPE_BATCH: A batch job with a well-defined end point: data is read,
data is processed, data is written, and the job is done.
JOB_TYPE_STREAMING: A continuously streaming job with no end: data is
read, processed, and written continuously.
"""
JOB_TYPE_UNKNOWN = 0
JOB_TYPE_BATCH = 1
JOB_TYPE_STREAMING = 2
@encoding.MapUnrecognizedFields('additionalProperties')
class LabelsValue(_messages.Message):
"""User-defined labels for this job. The labels map can contain no more
than 64 entries. Entries of the labels map are UTF8 strings that comply
with the following restrictions: * Keys must conform to regexp:
\p{Ll}\p{Lo}{0,62} * Values must conform to regexp:
[\p{Ll}\p{Lo}\p{N}_-]{0,63} * Both keys and values are additionally
constrained to be <= 128 bytes in size.
Messages:
AdditionalProperty: An additional property for a LabelsValue object.
Fields:
additionalProperties: Additional properties of type LabelsValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a LabelsValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class TransformNameMappingValue(_messages.Message):
"""The map of transform name prefixes of the job to be replaced to the
corresponding name prefixes of the new job.
Messages:
AdditionalProperty: An additional property for a
TransformNameMappingValue object.
Fields:
additionalProperties: Additional properties of type
TransformNameMappingValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a TransformNameMappingValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
clientRequestId = _messages.StringField(1)
createTime = _messages.StringField(2)
currentState = _messages.EnumField('CurrentStateValueValuesEnum', 3)
currentStateTime = _messages.StringField(4)
environment = _messages.MessageField('Environment', 5)
executionInfo = _messages.MessageField('JobExecutionInfo', 6)
id = _messages.StringField(7)
labels = _messages.MessageField('LabelsValue', 8)
location = _messages.StringField(9)
name = _messages.StringField(10)
pipelineDescription = _messages.MessageField('PipelineDescription', 11)
projectId = _messages.StringField(12)
replaceJobId = _messages.StringField(13)
replacedByJobId = _messages.StringField(14)
requestedState = _messages.EnumField('RequestedStateValueValuesEnum', 15)
stageStates = _messages.MessageField('ExecutionStageState', 16, repeated=True)
steps = _messages.MessageField('Step', 17, repeated=True)
tempFiles = _messages.StringField(18, repeated=True)
transformNameMapping = _messages.MessageField('TransformNameMappingValue', 19)
type = _messages.EnumField('TypeValueValuesEnum', 20)
class JobExecutionInfo(_messages.Message):
"""Additional information about how a Cloud Dataflow job will be executed
that isn't contained in the submitted job.
Messages:
StagesValue: A mapping from each stage to the information about that
stage.
Fields:
stages: A mapping from each stage to the information about that stage.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class StagesValue(_messages.Message):
"""A mapping from each stage to the information about that stage.
Messages:
AdditionalProperty: An additional property for a StagesValue object.
Fields:
additionalProperties: Additional properties of type StagesValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a StagesValue object.
Fields:
key: Name of the additional property.
value: A JobExecutionStageInfo attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('JobExecutionStageInfo', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
stages = _messages.MessageField('StagesValue', 1)
class JobExecutionStageInfo(_messages.Message):
"""Contains information about how a particular google.dataflow.v1beta3.Step
will be executed.
Fields:
stepName: The steps associated with the execution stage. Note that stages
may have several steps, and that a given step might be run by more than
one stage.
"""
stepName = _messages.StringField(1, repeated=True)
class JobMessage(_messages.Message):
"""A particular message pertaining to a Dataflow job.
Enums:
MessageImportanceValueValuesEnum: Importance level of the message.
Fields:
id: Deprecated.
messageImportance: Importance level of the message.
messageText: The text of the message.
time: The timestamp of the message.
"""
class MessageImportanceValueValuesEnum(_messages.Enum):
"""Importance level of the message.
Values:
JOB_MESSAGE_IMPORTANCE_UNKNOWN: The message importance isn't specified,
or is unknown.
JOB_MESSAGE_DEBUG: The message is at the 'debug' level: typically only
useful for software engineers working on the code the job is running.
Typically, Dataflow pipeline runners do not display log messages at
this level by default.
JOB_MESSAGE_DETAILED: The message is at the 'detailed' level: somewhat
verbose, but potentially useful to users. Typically, Dataflow
pipeline runners do not display log messages at this level by default.
These messages are displayed by default in the Dataflow monitoring UI.
JOB_MESSAGE_BASIC: The message is at the 'basic' level: useful for
keeping track of the execution of a Dataflow pipeline. Typically,
Dataflow pipeline runners display log messages at this level by
default, and these messages are displayed by default in the Dataflow
monitoring UI.
JOB_MESSAGE_WARNING: The message is at the 'warning' level: indicating a
condition pertaining to a job which may require human intervention.
Typically, Dataflow pipeline runners display log messages at this
level by default, and these messages are displayed by default in the
Dataflow monitoring UI.
JOB_MESSAGE_ERROR: The message is at the 'error' level: indicating a
condition preventing a job from succeeding. Typically, Dataflow
pipeline runners display log messages at this level by default, and
these messages are displayed by default in the Dataflow monitoring UI.
"""
JOB_MESSAGE_IMPORTANCE_UNKNOWN = 0
JOB_MESSAGE_DEBUG = 1
JOB_MESSAGE_DETAILED = 2
JOB_MESSAGE_BASIC = 3
JOB_MESSAGE_WARNING = 4
JOB_MESSAGE_ERROR = 5
id = _messages.StringField(1)
messageImportance = _messages.EnumField('MessageImportanceValueValuesEnum', 2)
messageText = _messages.StringField(3)
time = _messages.StringField(4)
class JobMetrics(_messages.Message):
"""JobMetrics contains a collection of metrics descibing the detailed
progress of a Dataflow job. Metrics correspond to user-defined and system-
defined metrics in the job. This resource captures only the most recent
values of each metric; time-series data can be queried for them (under the
same metric names) from Cloud Monitoring.
Fields:
metricTime: Timestamp as of which metric values are current.
metrics: All metrics for this job.
"""
metricTime = _messages.StringField(1)
metrics = _messages.MessageField('MetricUpdate', 2, repeated=True)
class KeyRangeDataDiskAssignment(_messages.Message):
"""Data disk assignment information for a specific key-range of a sharded
computation. Currently we only support UTF-8 character splits to simplify
encoding into JSON.
Fields:
dataDisk: The name of the data disk where data for this range is stored.
This name is local to the Google Cloud Platform project and uniquely
identifies the disk within that project, for example
"myproject-1014-104817-4c2-harness-0-disk-1".
end: The end (exclusive) of the key range.
start: The start (inclusive) of the key range.
"""
dataDisk = _messages.StringField(1)
end = _messages.StringField(2)
start = _messages.StringField(3)
class KeyRangeLocation(_messages.Message):
"""Location information for a specific key-range of a sharded computation.
Currently we only support UTF-8 character splits to simplify encoding into
JSON.
Fields:
dataDisk: The name of the data disk where data for this range is stored.
This name is local to the Google Cloud Platform project and uniquely
identifies the disk within that project, for example
"myproject-1014-104817-4c2-harness-0-disk-1".
deliveryEndpoint: The physical location of this range assignment to be
used for streaming computation cross-worker message delivery.
deprecatedPersistentDirectory: DEPRECATED. The location of the persistent
state for this range, as a persistent directory in the worker local
filesystem.
end: The end (exclusive) of the key range.
start: The start (inclusive) of the key range.
"""
dataDisk = _messages.StringField(1)
deliveryEndpoint = _messages.StringField(2)
deprecatedPersistentDirectory = _messages.StringField(3)
end = _messages.StringField(4)
start = _messages.StringField(5)
class LaunchTemplateParameters(_messages.Message):
"""Parameters to provide to the template being launched.
Messages:
ParametersValue: The runtime parameters to pass to the job.
Fields:
environment: The runtime environment for the job.
jobName: Required. The job name to use for the created job.
parameters: The runtime parameters to pass to the job.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class ParametersValue(_messages.Message):
"""The runtime parameters to pass to the job.
Messages:
AdditionalProperty: An additional property for a ParametersValue object.
Fields:
additionalProperties: Additional properties of type ParametersValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ParametersValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
environment = _messages.MessageField('RuntimeEnvironment', 1)
jobName = _messages.StringField(2)
parameters = _messages.MessageField('ParametersValue', 3)
class LaunchTemplateResponse(_messages.Message):
"""Response to the request to launch a template.
Fields:
job: The job that was launched, if the request was not a dry run and the
job was successfully launched.
"""
job = _messages.MessageField('Job', 1)
class LeaseWorkItemRequest(_messages.Message):
"""Request to lease WorkItems.
Fields:
currentWorkerTime: The current timestamp at the worker.
location: The location which contains the WorkItem's job.
requestedLeaseDuration: The initial lease period.
workItemTypes: Filter for WorkItem type.
workerCapabilities: Worker capabilities. WorkItems might be limited to
workers with specific capabilities.
workerId: Identifies the worker leasing work -- typically the ID of the
virtual machine running the worker.
"""
currentWorkerTime = _messages.StringField(1)
location = _messages.StringField(2)
requestedLeaseDuration = _messages.StringField(3)
workItemTypes = _messages.StringField(4, repeated=True)
workerCapabilities = _messages.StringField(5, repeated=True)
workerId = _messages.StringField(6)
class LeaseWorkItemResponse(_messages.Message):
"""Response to a request to lease WorkItems.
Fields:
workItems: A list of the leased WorkItems.
"""
workItems = _messages.MessageField('WorkItem', 1, repeated=True)
class ListJobMessagesResponse(_messages.Message):
"""Response to a request to list job messages.
Fields:
autoscalingEvents: Autoscaling events in ascending timestamp order.
jobMessages: Messages in ascending timestamp order.
nextPageToken: The token to obtain the next page of results if there are
more.
"""
autoscalingEvents = _messages.MessageField('AutoscalingEvent', 1, repeated=True)
jobMessages = _messages.MessageField('JobMessage', 2, repeated=True)
nextPageToken = _messages.StringField(3)
class ListJobsResponse(_messages.Message):
"""Response to a request to list Cloud Dataflow jobs. This may be a partial
response, depending on the page size in the ListJobsRequest.
Fields:
failedLocation: Zero or more messages describing locations that failed to
respond.
jobs: A subset of the requested job information.
nextPageToken: Set if there may be more results than fit in this response.
"""
failedLocation = _messages.MessageField('FailedLocation', 1, repeated=True)
jobs = _messages.MessageField('Job', 2, repeated=True)
nextPageToken = _messages.StringField(3)
class MapTask(_messages.Message):
"""MapTask consists of an ordered set of instructions, each of which
describes one particular low-level operation for the worker to perform in
order to accomplish the MapTask's WorkItem. Each instruction must appear in
the list before any instructions which depends on its output.
Fields:
instructions: The instructions in the MapTask.
stageName: System-defined name of the stage containing this MapTask.
Unique across the workflow.
systemName: System-defined name of this MapTask. Unique across the
workflow.
"""
instructions = _messages.MessageField('ParallelInstruction', 1, repeated=True)
stageName = _messages.StringField(2)
systemName = _messages.StringField(3)
class MetricShortId(_messages.Message):
"""The metric short id is returned to the user alongside an offset into
ReportWorkItemStatusRequest
Fields:
metricIndex: The index of the corresponding metric in the
ReportWorkItemStatusRequest. Required.
shortId: The service-generated short identifier for the metric.
"""
metricIndex = _messages.IntegerField(1, variant=_messages.Variant.INT32)
shortId = _messages.IntegerField(2)
class MetricStructuredName(_messages.Message):
"""Identifies a metric, by describing the source which generated the metric.
Messages:
ContextValue: Zero or more labeled fields which identify the part of the
job this metric is associated with, such as the name of a step or
collection. For example, built-in counters associated with steps will
have context['step'] = <step-name>. Counters associated with
PCollections in the SDK will have context['pcollection'] = <pcollection-
name>.
Fields:
context: Zero or more labeled fields which identify the part of the job
this metric is associated with, such as the name of a step or
collection. For example, built-in counters associated with steps will
have context['step'] = <step-name>. Counters associated with
PCollections in the SDK will have context['pcollection'] = <pcollection-
name>.
name: Worker-defined metric name.
origin: Origin (namespace) of metric name. May be blank for user-define
metrics; will be "dataflow" for metrics defined by the Dataflow service
or SDK.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class ContextValue(_messages.Message):
"""Zero or more labeled fields which identify the part of the job this
metric is associated with, such as the name of a step or collection. For
example, built-in counters associated with steps will have context['step']
= <step-name>. Counters associated with PCollections in the SDK will have
context['pcollection'] = <pcollection-name>.
Messages:
AdditionalProperty: An additional property for a ContextValue object.
Fields:
additionalProperties: Additional properties of type ContextValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ContextValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
context = _messages.MessageField('ContextValue', 1)
name = _messages.StringField(2)
origin = _messages.StringField(3)
class MetricUpdate(_messages.Message):
"""Describes the state of a metric.
Fields:
cumulative: True if this metric is reported as the total cumulative
aggregate value accumulated since the worker started working on this
WorkItem. By default this is false, indicating that this metric is
reported as a delta that is not associated with any WorkItem.
distribution: A struct value describing properties of a distribution of
numeric values.
internal: Worker-computed aggregate value for internal use by the Dataflow
service.
kind: Metric aggregation kind. The possible metric aggregation kinds are
"Sum", "Max", "Min", "Mean", "Set", "And", "Or", and "Distribution". The
specified aggregation kind is case-insensitive. If omitted, this is not
an aggregated value but instead a single metric sample value.
meanCount: Worker-computed aggregate value for the "Mean" aggregation
kind. This holds the count of the aggregated values and is used in
combination with mean_sum above to obtain the actual mean aggregate
value. The only possible value type is Long.
meanSum: Worker-computed aggregate value for the "Mean" aggregation kind.
This holds the sum of the aggregated values and is used in combination
with mean_count below to obtain the actual mean aggregate value. The
only possible value types are Long and Double.
name: Name of the metric.
scalar: Worker-computed aggregate value for aggregation kinds "Sum",
"Max", "Min", "And", and "Or". The possible value types are Long,
Double, and Boolean.
set: Worker-computed aggregate value for the "Set" aggregation kind. The
only possible value type is a list of Values whose type can be Long,
Double, or String, according to the metric's type. All Values in the
list must be of the same type.
updateTime: Timestamp associated with the metric value. Optional when
workers are reporting work progress; it will be filled in responses from
the metrics API.
"""
cumulative = _messages.BooleanField(1)
distribution = _messages.MessageField('extra_types.JsonValue', 2)
internal = _messages.MessageField('extra_types.JsonValue', 3)
kind = _messages.StringField(4)
meanCount = _messages.MessageField('extra_types.JsonValue', 5)
meanSum = _messages.MessageField('extra_types.JsonValue', 6)
name = _messages.MessageField('MetricStructuredName', 7)
scalar = _messages.MessageField('extra_types.JsonValue', 8)
set = _messages.MessageField('extra_types.JsonValue', 9)
updateTime = _messages.StringField(10)
class MountedDataDisk(_messages.Message):
"""Describes mounted data disk.
Fields:
dataDisk: The name of the data disk. This name is local to the Google
Cloud Platform project and uniquely identifies the disk within that
project, for example "myproject-1014-104817-4c2-harness-0-disk-1".
"""
dataDisk = _messages.StringField(1)
class MultiOutputInfo(_messages.Message):
"""Information about an output of a multi-output DoFn.
Fields:
tag: The id of the tag the user code will emit to this output by; this
should correspond to the tag of some SideInputInfo.
"""
tag = _messages.StringField(1)
class NameAndKind(_messages.Message):
"""Basic metadata about a counter.
Enums:
KindValueValuesEnum: Counter aggregation kind.
Fields:
kind: Counter aggregation kind.
name: Name of the counter.
"""
class KindValueValuesEnum(_messages.Enum):
"""Counter aggregation kind.
Values:
INVALID: Counter aggregation kind was not set.
SUM: Aggregated value is the sum of all contributed values.
MAX: Aggregated value is the max of all contributed values.
MIN: Aggregated value is the min of all contributed values.
MEAN: Aggregated value is the mean of all contributed values.
OR: Aggregated value represents the logical 'or' of all contributed
values.
AND: Aggregated value represents the logical 'and' of all contributed
values.
SET: Aggregated value is a set of unique contributed values.
DISTRIBUTION: Aggregated value captures statistics about a distribution.
LATEST_VALUE: Aggregated value tracks the latest value of a variable.
"""
INVALID = 0
SUM = 1
MAX = 2
MIN = 3
MEAN = 4
OR = 5
AND = 6
SET = 7
DISTRIBUTION = 8
LATEST_VALUE = 9
kind = _messages.EnumField('KindValueValuesEnum', 1)
name = _messages.StringField(2)
class Package(_messages.Message):
"""The packages that must be installed in order for a worker to run the
steps of the Cloud Dataflow job that will be assigned to its worker pool.
This is the mechanism by which the Cloud Dataflow SDK causes code to be
loaded onto the workers. For example, the Cloud Dataflow Java SDK might use
this to install jars containing the user's code and all of the various
dependencies (libraries, data files, etc.) required in order for that code
to run.
Fields:
location: The resource to read the package from. The supported resource
type is: Google Cloud Storage: storage.googleapis.com/{bucket}
bucket.storage.googleapis.com/
name: The name of the package.
"""
location = _messages.StringField(1)
name = _messages.StringField(2)
class ParDoInstruction(_messages.Message):
"""An instruction that does a ParDo operation. Takes one main input and zero
or more side inputs, and produces zero or more outputs. Runs user code.
Messages:
UserFnValue: The user function to invoke.
Fields:
input: The input.
multiOutputInfos: Information about each of the outputs, if user_fn is a
MultiDoFn.
numOutputs: The number of outputs.
sideInputs: Zero or more side inputs.
userFn: The user function to invoke.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class UserFnValue(_messages.Message):
"""The user function to invoke.
Messages:
AdditionalProperty: An additional property for a UserFnValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a UserFnValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
input = _messages.MessageField('InstructionInput', 1)
multiOutputInfos = _messages.MessageField('MultiOutputInfo', 2, repeated=True)
numOutputs = _messages.IntegerField(3, variant=_messages.Variant.INT32)
sideInputs = _messages.MessageField('SideInputInfo', 4, repeated=True)
userFn = _messages.MessageField('UserFnValue', 5)
class ParallelInstruction(_messages.Message):
"""Describes a particular operation comprising a MapTask.
Fields:
flatten: Additional information for Flatten instructions.
name: User-provided name of this operation.
originalName: System-defined name for the operation in the original
workflow graph.
outputs: Describes the outputs of the instruction.
parDo: Additional information for ParDo instructions.
partialGroupByKey: Additional information for PartialGroupByKey
instructions.
read: Additional information for Read instructions.
systemName: System-defined name of this operation. Unique across the
workflow.
write: Additional information for Write instructions.
"""
flatten = _messages.MessageField('FlattenInstruction', 1)
name = _messages.StringField(2)
originalName = _messages.StringField(3)
outputs = _messages.MessageField('InstructionOutput', 4, repeated=True)
parDo = _messages.MessageField('ParDoInstruction', 5)
partialGroupByKey = _messages.MessageField('PartialGroupByKeyInstruction', 6)
read = _messages.MessageField('ReadInstruction', 7)
systemName = _messages.StringField(8)
write = _messages.MessageField('WriteInstruction', 9)
class Parameter(_messages.Message):
"""Structured data associated with this message.
Fields:
key: Key or name for this parameter.
value: Value for this parameter.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
class ParameterMetadata(_messages.Message):
"""Metadata for a specific parameter.
Fields:
helpText: Required. The help text to display for the parameter.
isOptional: Optional. Whether the parameter is optional. Defaults to
false.
label: Required. The label to display for the parameter.
name: Required. The name of the parameter.
regexes: Optional. Regexes that the parameter must match.
"""
helpText = _messages.StringField(1)
isOptional = _messages.BooleanField(2)
label = _messages.StringField(3)
name = _messages.StringField(4)
regexes = _messages.StringField(5, repeated=True)
class PartialGroupByKeyInstruction(_messages.Message):
"""An instruction that does a partial group-by-key. One input and one
output.
Messages:
InputElementCodecValue: The codec to use for interpreting an element in
the input PTable.
ValueCombiningFnValue: The value combining function to invoke.
Fields:
input: Describes the input to the partial group-by-key instruction.
inputElementCodec: The codec to use for interpreting an element in the
input PTable.
originalCombineValuesInputStoreName: If this instruction includes a
combining function this is the name of the intermediate store between
the GBK and the CombineValues.
originalCombineValuesStepName: If this instruction includes a combining
function, this is the name of the CombineValues instruction lifted into
this instruction.
sideInputs: Zero or more side inputs.
valueCombiningFn: The value combining function to invoke.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class InputElementCodecValue(_messages.Message):
"""The codec to use for interpreting an element in the input PTable.
Messages:
AdditionalProperty: An additional property for a InputElementCodecValue
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a InputElementCodecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class ValueCombiningFnValue(_messages.Message):
"""The value combining function to invoke.
Messages:
AdditionalProperty: An additional property for a ValueCombiningFnValue
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ValueCombiningFnValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
input = _messages.MessageField('InstructionInput', 1)
inputElementCodec = _messages.MessageField('InputElementCodecValue', 2)
originalCombineValuesInputStoreName = _messages.StringField(3)
originalCombineValuesStepName = _messages.StringField(4)
sideInputs = _messages.MessageField('SideInputInfo', 5, repeated=True)
valueCombiningFn = _messages.MessageField('ValueCombiningFnValue', 6)
class PipelineDescription(_messages.Message):
"""A descriptive representation of submitted pipeline as well as the
executed form. This data is provided by the Dataflow service for ease of
visualizing the pipeline and interpretting Dataflow provided metrics.
Fields:
displayData: Pipeline level display data.
executionPipelineStage: Description of each stage of execution of the
pipeline.
originalPipelineTransform: Description of each transform in the pipeline
and collections between them.
"""
displayData = _messages.MessageField('DisplayData', 1, repeated=True)
executionPipelineStage = _messages.MessageField('ExecutionStageSummary', 2, repeated=True)
originalPipelineTransform = _messages.MessageField('TransformSummary', 3, repeated=True)
class Position(_messages.Message):
"""Position defines a position within a collection of data. The value can
be either the end position, a key (used with ordered collections), a byte
offset, or a record index.
Fields:
byteOffset: Position is a byte offset.
concatPosition: CloudPosition is a concat position.
end: Position is past all other positions. Also useful for the end
position of an unbounded range.
key: Position is a string key, ordered lexicographically.
recordIndex: Position is a record index.
shufflePosition: CloudPosition is a base64 encoded BatchShufflePosition
(with FIXED sharding).
"""
byteOffset = _messages.IntegerField(1)
concatPosition = _messages.MessageField('ConcatPosition', 2)
end = _messages.BooleanField(3)
key = _messages.StringField(4)
recordIndex = _messages.IntegerField(5)
shufflePosition = _messages.StringField(6)
class PubsubLocation(_messages.Message):
"""Identifies a pubsub location to use for transferring data into or out of
a streaming Dataflow job.
Fields:
dropLateData: Indicates whether the pipeline allows late-arriving data.
idLabel: If set, contains a pubsub label from which to extract record ids.
If left empty, record deduplication will be strictly best effort.
subscription: A pubsub subscription, in the form of
"pubsub.googleapis.com/subscriptions/<project-id>/<subscription-name>"
timestampLabel: If set, contains a pubsub label from which to extract
record timestamps. If left empty, record timestamps will be generated
upon arrival.
topic: A pubsub topic, in the form of "pubsub.googleapis.com/topics
/<project-id>/<topic-name>"
trackingSubscription: If set, specifies the pubsub subscription that will
be used for tracking custom time timestamps for watermark estimation.
withAttributes: If true, then the client has requested to get pubsub
attributes.
"""
dropLateData = _messages.BooleanField(1)
idLabel = _messages.StringField(2)
subscription = _messages.StringField(3)
timestampLabel = _messages.StringField(4)
topic = _messages.StringField(5)
trackingSubscription = _messages.StringField(6)
withAttributes = _messages.BooleanField(7)
class ReadInstruction(_messages.Message):
"""An instruction that reads records. Takes no inputs, produces one output.
Fields:
source: The source to read from.
"""
source = _messages.MessageField('Source', 1)
class ReportWorkItemStatusRequest(_messages.Message):
"""Request to report the status of WorkItems.
Fields:
currentWorkerTime: The current timestamp at the worker.
location: The location which contains the WorkItem's job.
workItemStatuses: The order is unimportant, except that the order of the
WorkItemServiceState messages in the ReportWorkItemStatusResponse
corresponds to the order of WorkItemStatus messages here.
workerId: The ID of the worker reporting the WorkItem status. If this
does not match the ID of the worker which the Dataflow service believes
currently has the lease on the WorkItem, the report will be dropped
(with an error response).
"""
currentWorkerTime = _messages.StringField(1)
location = _messages.StringField(2)
workItemStatuses = _messages.MessageField('WorkItemStatus', 3, repeated=True)
workerId = _messages.StringField(4)
class ReportWorkItemStatusResponse(_messages.Message):
"""Response from a request to report the status of WorkItems.
Fields:
workItemServiceStates: A set of messages indicating the service-side state
for each WorkItem whose status was reported, in the same order as the
WorkItemStatus messages in the ReportWorkItemStatusRequest which
resulting in this response.
"""
workItemServiceStates = _messages.MessageField('WorkItemServiceState', 1, repeated=True)
class ReportedParallelism(_messages.Message):
"""Represents the level of parallelism in a WorkItem's input, reported by
the worker.
Fields:
isInfinite: Specifies whether the parallelism is infinite. If true,
"value" is ignored. Infinite parallelism means the service will assume
that the work item can always be split into more non-empty work items by
dynamic splitting. This is a work-around for lack of support for
infinity by the current JSON-based Java RPC stack.
value: Specifies the level of parallelism in case it is finite.
"""
isInfinite = _messages.BooleanField(1)
value = _messages.FloatField(2)
class ResourceUtilizationReport(_messages.Message):
"""Worker metrics exported from workers. This contains resource utilization
metrics accumulated from a variety of sources. For more information, see go
/df-resource-signals.
Fields:
cpuTime: CPU utilization samples.
"""
cpuTime = _messages.MessageField('CPUTime', 1, repeated=True)
class ResourceUtilizationReportResponse(_messages.Message):
"""Service-side response to WorkerMessage reporting resource utilization.
"""
class RuntimeEnvironment(_messages.Message):
"""The environment values to set at runtime.
Fields:
additionalExperiments: Additional experiment flags for the job.
bypassTempDirValidation: Whether to bypass the safety checks for the job's
temporary directory. Use with caution.
machineType: The machine type to use for the job. Defaults to the value
from the template if not specified.
maxWorkers: The maximum number of Google Compute Engine instances to be
made available to your pipeline during execution, from 1 to 1000.
network: Network to which VMs will be assigned. If empty or unspecified,
the service will use the network "default".
serviceAccountEmail: The email address of the service account to run the
job as.
subnetwork: Subnetwork to which VMs will be assigned, if desired.
Expected to be of the form "regions/REGION/subnetworks/SUBNETWORK".
tempLocation: The Cloud Storage path to use for temporary files. Must be a
valid Cloud Storage URL, beginning with `gs://`.
zone: The Compute Engine [availability
zone](https://cloud.google.com/compute/docs/regions-zones/regions-zones)
for launching worker instances to run your pipeline.
"""
additionalExperiments = _messages.StringField(1, repeated=True)
bypassTempDirValidation = _messages.BooleanField(2)
machineType = _messages.StringField(3)
maxWorkers = _messages.IntegerField(4, variant=_messages.Variant.INT32)
network = _messages.StringField(5)
serviceAccountEmail = _messages.StringField(6)
subnetwork = _messages.StringField(7)
tempLocation = _messages.StringField(8)
zone = _messages.StringField(9)
class SendDebugCaptureRequest(_messages.Message):
"""Request to send encoded debug information.
Fields:
componentId: The internal component id for which debug information is
sent.
data: The encoded debug information.
location: The location which contains the job specified by job_id.
workerId: The worker id, i.e., VM hostname.
"""
componentId = _messages.StringField(1)
data = _messages.StringField(2)
location = _messages.StringField(3)
workerId = _messages.StringField(4)
class SendDebugCaptureResponse(_messages.Message):
"""Response to a send capture request.
nothing"""
class SendWorkerMessagesRequest(_messages.Message):
"""A request for sending worker messages to the service.
Fields:
location: The location which contains the job
workerMessages: The WorkerMessages to send.
"""
location = _messages.StringField(1)
workerMessages = _messages.MessageField('WorkerMessage', 2, repeated=True)
class SendWorkerMessagesResponse(_messages.Message):
"""The response to the worker messages.
Fields:
workerMessageResponses: The servers response to the worker messages.
"""
workerMessageResponses = _messages.MessageField('WorkerMessageResponse', 1, repeated=True)
class SeqMapTask(_messages.Message):
"""Describes a particular function to invoke.
Messages:
UserFnValue: The user function to invoke.
Fields:
inputs: Information about each of the inputs.
name: The user-provided name of the SeqDo operation.
outputInfos: Information about each of the outputs.
stageName: System-defined name of the stage containing the SeqDo
operation. Unique across the workflow.
systemName: System-defined name of the SeqDo operation. Unique across the
workflow.
userFn: The user function to invoke.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class UserFnValue(_messages.Message):
"""The user function to invoke.
Messages:
AdditionalProperty: An additional property for a UserFnValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a UserFnValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
inputs = _messages.MessageField('SideInputInfo', 1, repeated=True)
name = _messages.StringField(2)
outputInfos = _messages.MessageField('SeqMapTaskOutputInfo', 3, repeated=True)
stageName = _messages.StringField(4)
systemName = _messages.StringField(5)
userFn = _messages.MessageField('UserFnValue', 6)
class SeqMapTaskOutputInfo(_messages.Message):
"""Information about an output of a SeqMapTask.
Fields:
sink: The sink to write the output value to.
tag: The id of the TupleTag the user code will tag the output value by.
"""
sink = _messages.MessageField('Sink', 1)
tag = _messages.StringField(2)
class ShellTask(_messages.Message):
"""A task which consists of a shell command for the worker to execute.
Fields:
command: The shell command to run.
exitCode: Exit code for the task.
"""
command = _messages.StringField(1)
exitCode = _messages.IntegerField(2, variant=_messages.Variant.INT32)
class SideInputInfo(_messages.Message):
"""Information about a side input of a DoFn or an input of a SeqDoFn.
Messages:
KindValue: How to interpret the source element(s) as a side input value.
Fields:
kind: How to interpret the source element(s) as a side input value.
sources: The source(s) to read element(s) from to get the value of this
side input. If more than one source, then the elements are taken from
the sources, in the specified order if order matters. At least one
source is required.
tag: The id of the tag the user code will access this side input by; this
should correspond to the tag of some MultiOutputInfo.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class KindValue(_messages.Message):
"""How to interpret the source element(s) as a side input value.
Messages:
AdditionalProperty: An additional property for a KindValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a KindValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
kind = _messages.MessageField('KindValue', 1)
sources = _messages.MessageField('Source', 2, repeated=True)
tag = _messages.StringField(3)
class Sink(_messages.Message):
"""A sink that records can be encoded and written to.
Messages:
CodecValue: The codec to use to encode data written to the sink.
SpecValue: The sink to write to, plus its parameters.
Fields:
codec: The codec to use to encode data written to the sink.
spec: The sink to write to, plus its parameters.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class CodecValue(_messages.Message):
"""The codec to use to encode data written to the sink.
Messages:
AdditionalProperty: An additional property for a CodecValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a CodecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class SpecValue(_messages.Message):
"""The sink to write to, plus its parameters.
Messages:
AdditionalProperty: An additional property for a SpecValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a SpecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
codec = _messages.MessageField('CodecValue', 1)
spec = _messages.MessageField('SpecValue', 2)
class Source(_messages.Message):
"""A source that records can be read and decoded from.
Messages:
BaseSpecsValueListEntry: A BaseSpecsValueListEntry object.
CodecValue: The codec to use to decode data read from the source.
SpecValue: The source to read from, plus its parameters.
Fields:
baseSpecs: While splitting, sources may specify the produced bundles as
differences against another source, in order to save backend-side memory
and allow bigger jobs. For details, see SourceSplitRequest. To support
this use case, the full set of parameters of the source is logically
obtained by taking the latest explicitly specified value of each
parameter in the order: base_specs (later items win), spec (overrides
anything in base_specs).
codec: The codec to use to decode data read from the source.
doesNotNeedSplitting: Setting this value to true hints to the framework
that the source doesn't need splitting, and using SourceSplitRequest on
it would yield SOURCE_SPLIT_OUTCOME_USE_CURRENT. E.g. a file splitter
may set this to true when splitting a single file into a set of byte
ranges of appropriate size, and set this to false when splitting a
filepattern into individual files. However, for efficiency, a file
splitter may decide to produce file subranges directly from the
filepattern to avoid a splitting round-trip. See SourceSplitRequest for
an overview of the splitting process. This field is meaningful only in
the Source objects populated by the user (e.g. when filling in a
DerivedSource). Source objects supplied by the framework to the user
don't have this field populated.
metadata: Optionally, metadata for this source can be supplied right away,
avoiding a SourceGetMetadataOperation roundtrip (see
SourceOperationRequest). This field is meaningful only in the Source
objects populated by the user (e.g. when filling in a DerivedSource).
Source objects supplied by the framework to the user don't have this
field populated.
spec: The source to read from, plus its parameters.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class BaseSpecsValueListEntry(_messages.Message):
"""A BaseSpecsValueListEntry object.
Messages:
AdditionalProperty: An additional property for a BaseSpecsValueListEntry
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a BaseSpecsValueListEntry object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class CodecValue(_messages.Message):
"""The codec to use to decode data read from the source.
Messages:
AdditionalProperty: An additional property for a CodecValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a CodecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class SpecValue(_messages.Message):
"""The source to read from, plus its parameters.
Messages:
AdditionalProperty: An additional property for a SpecValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a SpecValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
baseSpecs = _messages.MessageField('BaseSpecsValueListEntry', 1, repeated=True)
codec = _messages.MessageField('CodecValue', 2)
doesNotNeedSplitting = _messages.BooleanField(3)
metadata = _messages.MessageField('SourceMetadata', 4)
spec = _messages.MessageField('SpecValue', 5)
class SourceFork(_messages.Message):
"""DEPRECATED in favor of DynamicSourceSplit.
Fields:
primary: DEPRECATED
primarySource: DEPRECATED
residual: DEPRECATED
residualSource: DEPRECATED
"""
primary = _messages.MessageField('SourceSplitShard', 1)
primarySource = _messages.MessageField('DerivedSource', 2)
residual = _messages.MessageField('SourceSplitShard', 3)
residualSource = _messages.MessageField('DerivedSource', 4)
class SourceGetMetadataRequest(_messages.Message):
"""A request to compute the SourceMetadata of a Source.
Fields:
source: Specification of the source whose metadata should be computed.
"""
source = _messages.MessageField('Source', 1)
class SourceGetMetadataResponse(_messages.Message):
"""The result of a SourceGetMetadataOperation.
Fields:
metadata: The computed metadata.
"""
metadata = _messages.MessageField('SourceMetadata', 1)
class SourceMetadata(_messages.Message):
"""Metadata about a Source useful for automatically optimizing and tuning
the pipeline, etc.
Fields:
estimatedSizeBytes: An estimate of the total size (in bytes) of the data
that would be read from this source. This estimate is in terms of
external storage size, before any decompression or other processing done
by the reader.
infinite: Specifies that the size of this source is known to be infinite
(this is a streaming source).
producesSortedKeys: Whether this source is known to produce key/value
pairs with the (encoded) keys in lexicographically sorted order.
"""
estimatedSizeBytes = _messages.IntegerField(1)
infinite = _messages.BooleanField(2)
producesSortedKeys = _messages.BooleanField(3)
class SourceOperationRequest(_messages.Message):
"""A work item that represents the different operations that can be
performed on a user-defined Source specification.
Fields:
getMetadata: Information about a request to get metadata about a source.
name: User-provided name of the Read instruction for this source.
originalName: System-defined name for the Read instruction for this source
in the original workflow graph.
split: Information about a request to split a source.
stageName: System-defined name of the stage containing the source
operation. Unique across the workflow.
systemName: System-defined name of the Read instruction for this source.
Unique across the workflow.
"""
getMetadata = _messages.MessageField('SourceGetMetadataRequest', 1)
name = _messages.StringField(2)
originalName = _messages.StringField(3)
split = _messages.MessageField('SourceSplitRequest', 4)
stageName = _messages.StringField(5)
systemName = _messages.StringField(6)
class SourceOperationResponse(_messages.Message):
"""The result of a SourceOperationRequest, specified in
ReportWorkItemStatusRequest.source_operation when the work item is
completed.
Fields:
getMetadata: A response to a request to get metadata about a source.
split: A response to a request to split a source.
"""
getMetadata = _messages.MessageField('SourceGetMetadataResponse', 1)
split = _messages.MessageField('SourceSplitResponse', 2)
class SourceSplitOptions(_messages.Message):
"""Hints for splitting a Source into bundles (parts for parallel processing)
using SourceSplitRequest.
Fields:
desiredBundleSizeBytes: The source should be split into a set of bundles
where the estimated size of each is approximately this many bytes.
desiredShardSizeBytes: DEPRECATED in favor of desired_bundle_size_bytes.
"""
desiredBundleSizeBytes = _messages.IntegerField(1)
desiredShardSizeBytes = _messages.IntegerField(2)
class SourceSplitRequest(_messages.Message):
"""Represents the operation to split a high-level Source specification into
bundles (parts for parallel processing). At a high level, splitting of a
source into bundles happens as follows: SourceSplitRequest is applied to the
source. If it returns SOURCE_SPLIT_OUTCOME_USE_CURRENT, no further splitting
happens and the source is used "as is". Otherwise, splitting is applied
recursively to each produced DerivedSource. As an optimization, for any
Source, if its does_not_need_splitting is true, the framework assumes that
splitting this source would return SOURCE_SPLIT_OUTCOME_USE_CURRENT, and
doesn't initiate a SourceSplitRequest. This applies both to the initial
source being split and to bundles produced from it.
Fields:
options: Hints for tuning the splitting process.
source: Specification of the source to be split.
"""
options = _messages.MessageField('SourceSplitOptions', 1)
source = _messages.MessageField('Source', 2)
class SourceSplitResponse(_messages.Message):
"""The response to a SourceSplitRequest.
Enums:
OutcomeValueValuesEnum: Indicates whether splitting happened and produced
a list of bundles. If this is USE_CURRENT_SOURCE_AS_IS, the current
source should be processed "as is" without splitting. "bundles" is
ignored in this case. If this is SPLITTING_HAPPENED, then "bundles"
contains a list of bundles into which the source was split.
Fields:
bundles: If outcome is SPLITTING_HAPPENED, then this is a list of bundles
into which the source was split. Otherwise this field is ignored. This
list can be empty, which means the source represents an empty input.
outcome: Indicates whether splitting happened and produced a list of
bundles. If this is USE_CURRENT_SOURCE_AS_IS, the current source should
be processed "as is" without splitting. "bundles" is ignored in this
case. If this is SPLITTING_HAPPENED, then "bundles" contains a list of
bundles into which the source was split.
shards: DEPRECATED in favor of bundles.
"""
class OutcomeValueValuesEnum(_messages.Enum):
"""Indicates whether splitting happened and produced a list of bundles. If
this is USE_CURRENT_SOURCE_AS_IS, the current source should be processed
"as is" without splitting. "bundles" is ignored in this case. If this is
SPLITTING_HAPPENED, then "bundles" contains a list of bundles into which
the source was split.
Values:
SOURCE_SPLIT_OUTCOME_UNKNOWN: The source split outcome is unknown, or
unspecified.
SOURCE_SPLIT_OUTCOME_USE_CURRENT: The current source should be processed
"as is" without splitting.
SOURCE_SPLIT_OUTCOME_SPLITTING_HAPPENED: Splitting produced a list of
bundles.
"""
SOURCE_SPLIT_OUTCOME_UNKNOWN = 0
SOURCE_SPLIT_OUTCOME_USE_CURRENT = 1
SOURCE_SPLIT_OUTCOME_SPLITTING_HAPPENED = 2
bundles = _messages.MessageField('DerivedSource', 1, repeated=True)
outcome = _messages.EnumField('OutcomeValueValuesEnum', 2)
shards = _messages.MessageField('SourceSplitShard', 3, repeated=True)
class SourceSplitShard(_messages.Message):
"""DEPRECATED in favor of DerivedSource.
Enums:
DerivationModeValueValuesEnum: DEPRECATED
Fields:
derivationMode: DEPRECATED
source: DEPRECATED
"""
class DerivationModeValueValuesEnum(_messages.Enum):
"""DEPRECATED
Values:
SOURCE_DERIVATION_MODE_UNKNOWN: The source derivation is unknown, or
unspecified.
SOURCE_DERIVATION_MODE_INDEPENDENT: Produce a completely independent
Source with no base.
SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT: Produce a Source based on the
Source being split.
SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT: Produce a Source based on the
base of the Source being split.
"""
SOURCE_DERIVATION_MODE_UNKNOWN = 0
SOURCE_DERIVATION_MODE_INDEPENDENT = 1
SOURCE_DERIVATION_MODE_CHILD_OF_CURRENT = 2
SOURCE_DERIVATION_MODE_SIBLING_OF_CURRENT = 3
derivationMode = _messages.EnumField('DerivationModeValueValuesEnum', 1)
source = _messages.MessageField('Source', 2)
class SplitInt64(_messages.Message):
"""A representation of an int64, n, that is immune to precision loss when
encoded in JSON.
Fields:
highBits: The high order bits, including the sign: n >> 32.
lowBits: The low order bits: n & 0xffffffff.
"""
highBits = _messages.IntegerField(1, variant=_messages.Variant.INT32)
lowBits = _messages.IntegerField(2, variant=_messages.Variant.UINT32)
class StageSource(_messages.Message):
"""Description of an input or output of an execution stage.
Fields:
name: Dataflow service generated name for this source.
originalTransformOrCollection: User name for the original user transform
or collection with which this source is most closely associated.
sizeBytes: Size of the source, if measurable.
userName: Human-readable name for this source; may be user or system
generated.
"""
name = _messages.StringField(1)
originalTransformOrCollection = _messages.StringField(2)
sizeBytes = _messages.IntegerField(3)
userName = _messages.StringField(4)
class StandardQueryParameters(_messages.Message):
"""Query parameters accepted by all methods.
Enums:
FXgafvValueValuesEnum: V1 error format.
AltValueValuesEnum: Data format for response.
Fields:
f__xgafv: V1 error format.
access_token: OAuth access token.
alt: Data format for response.
bearer_token: OAuth bearer token.
callback: JSONP
fields: Selector specifying which fields to include in a partial response.
key: API key. Your API key identifies your project and provides you with
API access, quota, and reports. Required unless you provide an OAuth 2.0
token.
oauth_token: OAuth 2.0 token for the current user.
pp: Pretty-print response.
prettyPrint: Returns response with indentations and line breaks.
quotaUser: Available to use for quota purposes for server-side
applications. Can be any arbitrary string assigned to a user, but should
not exceed 40 characters.
trace: A tracing token of the form "token:<tokenid>" to include in api
requests.
uploadType: Legacy upload protocol for media (e.g. "media", "multipart").
upload_protocol: Upload protocol for media (e.g. "raw", "multipart").
"""
class AltValueValuesEnum(_messages.Enum):
"""Data format for response.
Values:
json: Responses with Content-Type of application/json
media: Media download with context-dependent Content-Type
proto: Responses with Content-Type of application/x-protobuf
"""
json = 0
media = 1
proto = 2
class FXgafvValueValuesEnum(_messages.Enum):
"""V1 error format.
Values:
_1: v1 error format
_2: v2 error format
"""
_1 = 0
_2 = 1
f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1)
access_token = _messages.StringField(2)
alt = _messages.EnumField('AltValueValuesEnum', 3, default=u'json')
bearer_token = _messages.StringField(4)
callback = _messages.StringField(5)
fields = _messages.StringField(6)
key = _messages.StringField(7)
oauth_token = _messages.StringField(8)
pp = _messages.BooleanField(9, default=True)
prettyPrint = _messages.BooleanField(10, default=True)
quotaUser = _messages.StringField(11)
trace = _messages.StringField(12)
uploadType = _messages.StringField(13)
upload_protocol = _messages.StringField(14)
class StateFamilyConfig(_messages.Message):
"""State family configuration.
Fields:
isRead: If true, this family corresponds to a read operation.
stateFamily: The state family value.
"""
isRead = _messages.BooleanField(1)
stateFamily = _messages.StringField(2)
class Status(_messages.Message):
"""The `Status` type defines a logical error model that is suitable for
different programming environments, including REST APIs and RPC APIs. It is
used by [gRPC](https://github.com/grpc). The error model is designed to be:
- Simple to use and understand for most users - Flexible enough to meet
unexpected needs # Overview The `Status` message contains three pieces of
data: error code, error message, and error details. The error code should be
an enum value of google.rpc.Code, but it may accept additional error codes
if needed. The error message should be a developer-facing English message
that helps developers *understand* and *resolve* the error. If a localized
user-facing error message is needed, put the localized message in the error
details or localize it in the client. The optional error details may contain
arbitrary information about the error. There is a predefined set of error
detail types in the package `google.rpc` that can be used for common error
conditions. # Language mapping The `Status` message is the logical
representation of the error model, but it is not necessarily the actual wire
format. When the `Status` message is exposed in different client libraries
and different wire protocols, it can be mapped differently. For example, it
will likely be mapped to some exceptions in Java, but more likely mapped to
some error codes in C. # Other uses The error model and the `Status`
message can be used in a variety of environments, either with or without
APIs, to provide a consistent developer experience across different
environments. Example uses of this error model include: - Partial errors.
If a service needs to return partial errors to the client, it may embed
the `Status` in the normal response to indicate the partial errors. -
Workflow errors. A typical workflow has multiple steps. Each step may
have a `Status` message for error reporting. - Batch operations. If a
client uses batch request and batch response, the `Status` message
should be used directly inside batch response, one for each error sub-
response. - Asynchronous operations. If an API call embeds asynchronous
operation results in its response, the status of those operations should
be represented directly using the `Status` message. - Logging. If some
API errors are stored in logs, the message `Status` could be used
directly after any stripping needed for security/privacy reasons.
Messages:
DetailsValueListEntry: A DetailsValueListEntry object.
Fields:
code: The status code, which should be an enum value of google.rpc.Code.
details: A list of messages that carry the error details. There is a
common set of message types for APIs to use.
message: A developer-facing error message, which should be in English. Any
user-facing error message should be localized and sent in the
google.rpc.Status.details field, or localized by the client.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class DetailsValueListEntry(_messages.Message):
"""A DetailsValueListEntry object.
Messages:
AdditionalProperty: An additional property for a DetailsValueListEntry
object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a DetailsValueListEntry object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
code = _messages.IntegerField(1, variant=_messages.Variant.INT32)
details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True)
message = _messages.StringField(3)
class Step(_messages.Message):
"""Defines a particular step within a Cloud Dataflow job. A job consists of
multiple steps, each of which performs some specific operation as part of
the overall job. Data is typically passed from one step to another as part
of the job. Here's an example of a sequence of steps which together
implement a Map-Reduce job: * Read a collection of data from some source,
parsing the collection's elements. * Validate the elements. *
Apply a user-defined function to map each element to some value and
extract an element-specific key value. * Group elements with the same key
into a single element with that key, transforming a multiply-keyed
collection into a uniquely-keyed collection. * Write the elements out
to some data sink. Note that the Cloud Dataflow service may be used to run
many different types of jobs, not just Map-Reduce.
Messages:
PropertiesValue: Named properties associated with the step. Each kind of
predefined step has its own required set of properties. Must be provided
on Create. Only retrieved with JOB_VIEW_ALL.
Fields:
kind: The kind of step in the Cloud Dataflow job.
name: The name that identifies the step. This must be unique for each step
with respect to all other steps in the Cloud Dataflow job.
properties: Named properties associated with the step. Each kind of
predefined step has its own required set of properties. Must be provided
on Create. Only retrieved with JOB_VIEW_ALL.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class PropertiesValue(_messages.Message):
"""Named properties associated with the step. Each kind of predefined step
has its own required set of properties. Must be provided on Create. Only
retrieved with JOB_VIEW_ALL.
Messages:
AdditionalProperty: An additional property for a PropertiesValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a PropertiesValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
kind = _messages.StringField(1)
name = _messages.StringField(2)
properties = _messages.MessageField('PropertiesValue', 3)
class StreamLocation(_messages.Message):
"""Describes a stream of data, either as input to be processed or as output
of a streaming Dataflow job.
Fields:
customSourceLocation: The stream is a custom source.
pubsubLocation: The stream is a pubsub stream.
sideInputLocation: The stream is a streaming side input.
streamingStageLocation: The stream is part of another computation within
the current streaming Dataflow job.
"""
customSourceLocation = _messages.MessageField('CustomSourceLocation', 1)
pubsubLocation = _messages.MessageField('PubsubLocation', 2)
sideInputLocation = _messages.MessageField('StreamingSideInputLocation', 3)
streamingStageLocation = _messages.MessageField('StreamingStageLocation', 4)
class StreamingComputationConfig(_messages.Message):
"""Configuration information for a single streaming computation.
Fields:
computationId: Unique identifier for this computation.
instructions: Instructions that comprise the computation.
stageName: Stage name of this computation.
systemName: System defined name for this computation.
"""
computationId = _messages.StringField(1)
instructions = _messages.MessageField('ParallelInstruction', 2, repeated=True)
stageName = _messages.StringField(3)
systemName = _messages.StringField(4)
class StreamingComputationRanges(_messages.Message):
"""Describes full or partial data disk assignment information of the
computation ranges.
Fields:
computationId: The ID of the computation.
rangeAssignments: Data disk assignments for ranges from this computation.
"""
computationId = _messages.StringField(1)
rangeAssignments = _messages.MessageField('KeyRangeDataDiskAssignment', 2, repeated=True)
class StreamingComputationTask(_messages.Message):
"""A task which describes what action should be performed for the specified
streaming computation ranges.
Enums:
TaskTypeValueValuesEnum: A type of streaming computation task.
Fields:
computationRanges: Contains ranges of a streaming computation this task
should apply to.
dataDisks: Describes the set of data disks this task should apply to.
taskType: A type of streaming computation task.
"""
class TaskTypeValueValuesEnum(_messages.Enum):
"""A type of streaming computation task.
Values:
STREAMING_COMPUTATION_TASK_UNKNOWN: The streaming computation task is
unknown, or unspecified.
STREAMING_COMPUTATION_TASK_STOP: Stop processing specified streaming
computation range(s).
STREAMING_COMPUTATION_TASK_START: Start processing specified streaming
computation range(s).
"""
STREAMING_COMPUTATION_TASK_UNKNOWN = 0
STREAMING_COMPUTATION_TASK_STOP = 1
STREAMING_COMPUTATION_TASK_START = 2
computationRanges = _messages.MessageField('StreamingComputationRanges', 1, repeated=True)
dataDisks = _messages.MessageField('MountedDataDisk', 2, repeated=True)
taskType = _messages.EnumField('TaskTypeValueValuesEnum', 3)
class StreamingConfigTask(_messages.Message):
"""A task that carries configuration information for streaming computations.
Messages:
UserStepToStateFamilyNameMapValue: Map from user step names to state
families.
Fields:
streamingComputationConfigs: Set of computation configuration information.
userStepToStateFamilyNameMap: Map from user step names to state families.
windmillServiceEndpoint: If present, the worker must use this endpoint to
communicate with Windmill Service dispatchers, otherwise the worker must
continue to use whatever endpoint it had been using.
windmillServicePort: If present, the worker must use this port to
communicate with Windmill Service dispatchers. Only applicable when
windmill_service_endpoint is specified.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class UserStepToStateFamilyNameMapValue(_messages.Message):
"""Map from user step names to state families.
Messages:
AdditionalProperty: An additional property for a
UserStepToStateFamilyNameMapValue object.
Fields:
additionalProperties: Additional properties of type
UserStepToStateFamilyNameMapValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a UserStepToStateFamilyNameMapValue
object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
streamingComputationConfigs = _messages.MessageField('StreamingComputationConfig', 1, repeated=True)
userStepToStateFamilyNameMap = _messages.MessageField('UserStepToStateFamilyNameMapValue', 2)
windmillServiceEndpoint = _messages.StringField(3)
windmillServicePort = _messages.IntegerField(4)
class StreamingSetupTask(_messages.Message):
"""A task which initializes part of a streaming Dataflow job.
Fields:
drain: The user has requested drain.
receiveWorkPort: The TCP port on which the worker should listen for
messages from other streaming computation workers.
streamingComputationTopology: The global topology of the streaming
Dataflow job.
workerHarnessPort: The TCP port used by the worker to communicate with the
Dataflow worker harness.
"""
drain = _messages.BooleanField(1)
receiveWorkPort = _messages.IntegerField(2, variant=_messages.Variant.INT32)
streamingComputationTopology = _messages.MessageField('TopologyConfig', 3)
workerHarnessPort = _messages.IntegerField(4, variant=_messages.Variant.INT32)
class StreamingSideInputLocation(_messages.Message):
"""Identifies the location of a streaming side input.
Fields:
stateFamily: Identifies the state family where this side input is stored.
tag: Identifies the particular side input within the streaming Dataflow
job.
"""
stateFamily = _messages.StringField(1)
tag = _messages.StringField(2)
class StreamingStageLocation(_messages.Message):
"""Identifies the location of a streaming computation stage, for stage-to-
stage communication.
Fields:
streamId: Identifies the particular stream within the streaming Dataflow
job.
"""
streamId = _messages.StringField(1)
class StringList(_messages.Message):
"""A metric value representing a list of strings.
Fields:
elements: Elements of the list.
"""
elements = _messages.StringField(1, repeated=True)
class StructuredMessage(_messages.Message):
"""A rich message format, including a human readable string, a key for
identifying the message, and structured data associated with the message for
programmatic consumption.
Fields:
messageKey: Idenfier for this message type. Used by external systems to
internationalize or personalize message.
messageText: Human-readable version of message.
parameters: The structured data associated with this message.
"""
messageKey = _messages.StringField(1)
messageText = _messages.StringField(2)
parameters = _messages.MessageField('Parameter', 3, repeated=True)
class TaskRunnerSettings(_messages.Message):
"""Taskrunner configuration settings.
Fields:
alsologtostderr: Whether to also send taskrunner log info to stderr.
baseTaskDir: The location on the worker for task-specific subdirectories.
baseUrl: The base URL for the taskrunner to use when accessing Google
Cloud APIs. When workers access Google Cloud APIs, they logically do so
via relative URLs. If this field is specified, it supplies the base URL
to use for resolving these relative URLs. The normative algorithm used
is defined by RFC 1808, "Relative Uniform Resource Locators". If not
specified, the default value is "http://www.googleapis.com/"
commandlinesFileName: The file to store preprocessing commands in.
continueOnException: Whether to continue taskrunner if an exception is
hit.
dataflowApiVersion: The API version of endpoint, e.g. "v1b3"
harnessCommand: The command to launch the worker harness.
languageHint: The suggested backend language.
logDir: The directory on the VM to store logs.
logToSerialconsole: Whether to send taskrunner log info to Google Compute
Engine VM serial console.
logUploadLocation: Indicates where to put logs. If this is not specified,
the logs will not be uploaded. The supported resource type is: Google
Cloud Storage: storage.googleapis.com/{bucket}/{object}
bucket.storage.googleapis.com/{object}
oauthScopes: The OAuth2 scopes to be requested by the taskrunner in order
to access the Cloud Dataflow API.
parallelWorkerSettings: The settings to pass to the parallel worker
harness.
streamingWorkerMainClass: The streaming worker main class name.
taskGroup: The UNIX group ID on the worker VM to use for tasks launched by
taskrunner; e.g. "wheel".
taskUser: The UNIX user ID on the worker VM to use for tasks launched by
taskrunner; e.g. "root".
tempStoragePrefix: The prefix of the resources the taskrunner should use
for temporary storage. The supported resource type is: Google Cloud
Storage: storage.googleapis.com/{bucket}/{object}
bucket.storage.googleapis.com/{object}
vmId: The ID string of the VM.
workflowFileName: The file to store the workflow in.
"""
alsologtostderr = _messages.BooleanField(1)
baseTaskDir = _messages.StringField(2)
baseUrl = _messages.StringField(3)
commandlinesFileName = _messages.StringField(4)
continueOnException = _messages.BooleanField(5)
dataflowApiVersion = _messages.StringField(6)
harnessCommand = _messages.StringField(7)
languageHint = _messages.StringField(8)
logDir = _messages.StringField(9)
logToSerialconsole = _messages.BooleanField(10)
logUploadLocation = _messages.StringField(11)
oauthScopes = _messages.StringField(12, repeated=True)
parallelWorkerSettings = _messages.MessageField('WorkerSettings', 13)
streamingWorkerMainClass = _messages.StringField(14)
taskGroup = _messages.StringField(15)
taskUser = _messages.StringField(16)
tempStoragePrefix = _messages.StringField(17)
vmId = _messages.StringField(18)
workflowFileName = _messages.StringField(19)
class TemplateMetadata(_messages.Message):
"""Metadata describing a template.
Fields:
description: Optional. A description of the template.
name: Required. The name of the template.
parameters: The parameters for the template.
"""
description = _messages.StringField(1)
name = _messages.StringField(2)
parameters = _messages.MessageField('ParameterMetadata', 3, repeated=True)
class TopologyConfig(_messages.Message):
"""Global topology of the streaming Dataflow job, including all computations
and their sharded locations.
Messages:
UserStageToComputationNameMapValue: Maps user stage names to stable
computation names.
Fields:
computations: The computations associated with a streaming Dataflow job.
dataDiskAssignments: The disks assigned to a streaming Dataflow job.
forwardingKeyBits: The size (in bits) of keys that will be assigned to
source messages.
persistentStateVersion: Version number for persistent state.
userStageToComputationNameMap: Maps user stage names to stable computation
names.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class UserStageToComputationNameMapValue(_messages.Message):
"""Maps user stage names to stable computation names.
Messages:
AdditionalProperty: An additional property for a
UserStageToComputationNameMapValue object.
Fields:
additionalProperties: Additional properties of type
UserStageToComputationNameMapValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a UserStageToComputationNameMapValue
object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
computations = _messages.MessageField('ComputationTopology', 1, repeated=True)
dataDiskAssignments = _messages.MessageField('DataDiskAssignment', 2, repeated=True)
forwardingKeyBits = _messages.IntegerField(3, variant=_messages.Variant.INT32)
persistentStateVersion = _messages.IntegerField(4, variant=_messages.Variant.INT32)
userStageToComputationNameMap = _messages.MessageField('UserStageToComputationNameMapValue', 5)
class TransformSummary(_messages.Message):
"""Description of the type, names/ids, and input/outputs for a transform.
Enums:
KindValueValuesEnum: Type of transform.
Fields:
displayData: Transform-specific display data.
id: SDK generated id of this transform instance.
inputCollectionName: User names for all collection inputs to this
transform.
kind: Type of transform.
name: User provided name for this transform instance.
outputCollectionName: User names for all collection outputs to this
transform.
"""
class KindValueValuesEnum(_messages.Enum):
"""Type of transform.
Values:
UNKNOWN_KIND: Unrecognized transform type.
PAR_DO_KIND: ParDo transform.
GROUP_BY_KEY_KIND: Group By Key transform.
FLATTEN_KIND: Flatten transform.
READ_KIND: Read transform.
WRITE_KIND: Write transform.
CONSTANT_KIND: Constructs from a constant value, such as with Create.of.
SINGLETON_KIND: Creates a Singleton view of a collection.
SHUFFLE_KIND: Opening or closing a shuffle session, often as part of a
GroupByKey.
"""
UNKNOWN_KIND = 0
PAR_DO_KIND = 1
GROUP_BY_KEY_KIND = 2
FLATTEN_KIND = 3
READ_KIND = 4
WRITE_KIND = 5
CONSTANT_KIND = 6
SINGLETON_KIND = 7
SHUFFLE_KIND = 8
displayData = _messages.MessageField('DisplayData', 1, repeated=True)
id = _messages.StringField(2)
inputCollectionName = _messages.StringField(3, repeated=True)
kind = _messages.EnumField('KindValueValuesEnum', 4)
name = _messages.StringField(5)
outputCollectionName = _messages.StringField(6, repeated=True)
class WorkItem(_messages.Message):
"""WorkItem represents basic information about a WorkItem to be executed in
the cloud.
Fields:
configuration: Work item-specific configuration as an opaque blob.
id: Identifies this WorkItem.
initialReportIndex: The initial index to use when reporting the status of
the WorkItem.
jobId: Identifies the workflow job this WorkItem belongs to.
leaseExpireTime: Time when the lease on this Work will expire.
mapTask: Additional information for MapTask WorkItems.
packages: Any required packages that need to be fetched in order to
execute this WorkItem.
projectId: Identifies the cloud project this WorkItem belongs to.
reportStatusInterval: Recommended reporting interval.
seqMapTask: Additional information for SeqMapTask WorkItems.
shellTask: Additional information for ShellTask WorkItems.
sourceOperationTask: Additional information for source operation
WorkItems.
streamingComputationTask: Additional information for
StreamingComputationTask WorkItems.
streamingConfigTask: Additional information for StreamingConfigTask
WorkItems.
streamingSetupTask: Additional information for StreamingSetupTask
WorkItems.
"""
configuration = _messages.StringField(1)
id = _messages.IntegerField(2)
initialReportIndex = _messages.IntegerField(3)
jobId = _messages.StringField(4)
leaseExpireTime = _messages.StringField(5)
mapTask = _messages.MessageField('MapTask', 6)
packages = _messages.MessageField('Package', 7, repeated=True)
projectId = _messages.StringField(8)
reportStatusInterval = _messages.StringField(9)
seqMapTask = _messages.MessageField('SeqMapTask', 10)
shellTask = _messages.MessageField('ShellTask', 11)
sourceOperationTask = _messages.MessageField('SourceOperationRequest', 12)
streamingComputationTask = _messages.MessageField('StreamingComputationTask', 13)
streamingConfigTask = _messages.MessageField('StreamingConfigTask', 14)
streamingSetupTask = _messages.MessageField('StreamingSetupTask', 15)
class WorkItemServiceState(_messages.Message):
"""The Dataflow service's idea of the current state of a WorkItem being
processed by a worker.
Messages:
HarnessDataValue: Other data returned by the service, specific to the
particular worker harness.
Fields:
harnessData: Other data returned by the service, specific to the
particular worker harness.
leaseExpireTime: Time at which the current lease will expire.
metricShortId: The short ids that workers should use in subsequent metric
updates. Workers should strive to use short ids whenever possible, but
it is ok to request the short_id again if a worker lost track of it
(e.g. if the worker is recovering from a crash). NOTE: it is possible
that the response may have short ids for a subset of the metrics.
nextReportIndex: The index value to use for the next report sent by the
worker. Note: If the report call fails for whatever reason, the worker
should reuse this index for subsequent report attempts.
reportStatusInterval: New recommended reporting interval.
splitRequest: The progress point in the WorkItem where the Dataflow
service suggests that the worker truncate the task.
suggestedStopPoint: DEPRECATED in favor of split_request.
suggestedStopPosition: Obsolete, always empty.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class HarnessDataValue(_messages.Message):
"""Other data returned by the service, specific to the particular worker
harness.
Messages:
AdditionalProperty: An additional property for a HarnessDataValue
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a HarnessDataValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
harnessData = _messages.MessageField('HarnessDataValue', 1)
leaseExpireTime = _messages.StringField(2)
metricShortId = _messages.MessageField('MetricShortId', 3, repeated=True)
nextReportIndex = _messages.IntegerField(4)
reportStatusInterval = _messages.StringField(5)
splitRequest = _messages.MessageField('ApproximateSplitRequest', 6)
suggestedStopPoint = _messages.MessageField('ApproximateProgress', 7)
suggestedStopPosition = _messages.MessageField('Position', 8)
class WorkItemStatus(_messages.Message):
"""Conveys a worker's progress through the work described by a WorkItem.
Fields:
completed: True if the WorkItem was completed (successfully or
unsuccessfully).
counterUpdates: Worker output counters for this WorkItem.
dynamicSourceSplit: See documentation of stop_position.
errors: Specifies errors which occurred during processing. If errors are
provided, and completed = true, then the WorkItem is considered to have
failed.
metricUpdates: DEPRECATED in favor of counter_updates.
progress: DEPRECATED in favor of reported_progress.
reportIndex: The report index. When a WorkItem is leased, the lease will
contain an initial report index. When a WorkItem's status is reported
to the system, the report should be sent with that report index, and the
response will contain the index the worker should use for the next
report. Reports received with unexpected index values will be rejected
by the service. In order to preserve idempotency, the worker should not
alter the contents of a report, even if the worker must submit the same
report multiple times before getting back a response. The worker should
not submit a subsequent report until the response for the previous
report had been received from the service.
reportedProgress: The worker's progress through this WorkItem.
requestedLeaseDuration: Amount of time the worker requests for its lease.
sourceFork: DEPRECATED in favor of dynamic_source_split.
sourceOperationResponse: If the work item represented a
SourceOperationRequest, and the work is completed, contains the result
of the operation.
stopPosition: A worker may split an active map task in two parts,
"primary" and "residual", continuing to process the primary part and
returning the residual part into the pool of available work. This event
is called a "dynamic split" and is critical to the dynamic work
rebalancing feature. The two obtained sub-tasks are called "parts" of
the split. The parts, if concatenated, must represent the same input as
would be read by the current task if the split did not happen. The exact
way in which the original task is decomposed into the two parts is
specified either as a position demarcating them (stop_position), or
explicitly as two DerivedSources, if this task consumes a user-defined
source type (dynamic_source_split). The "current" task is adjusted as a
result of the split: after a task with range [A, B) sends a
stop_position update at C, its range is considered to be [A, C), e.g.: *
Progress should be interpreted relative to the new range, e.g. "75%
completed" means "75% of [A, C) completed" * The worker should interpret
proposed_stop_position relative to the new range, e.g. "split at 68%"
should be interpreted as "split at 68% of [A, C)". * If the worker
chooses to split again using stop_position, only stop_positions in [A,
C) will be accepted. * Etc. dynamic_source_split has similar semantics:
e.g., if a task with source S splits using dynamic_source_split into {P,
R} (where P and R must be together equivalent to S), then subsequent
progress and proposed_stop_position should be interpreted relative to P,
and in a potential subsequent dynamic_source_split into {P', R'}, P' and
R' must be together equivalent to P, etc.
totalThrottlerWaitTimeSeconds: Total time the worker spent being throttled
by external systems.
workItemId: Identifies the WorkItem.
"""
completed = _messages.BooleanField(1)
counterUpdates = _messages.MessageField('CounterUpdate', 2, repeated=True)
dynamicSourceSplit = _messages.MessageField('DynamicSourceSplit', 3)
errors = _messages.MessageField('Status', 4, repeated=True)
metricUpdates = _messages.MessageField('MetricUpdate', 5, repeated=True)
progress = _messages.MessageField('ApproximateProgress', 6)
reportIndex = _messages.IntegerField(7)
reportedProgress = _messages.MessageField('ApproximateReportedProgress', 8)
requestedLeaseDuration = _messages.StringField(9)
sourceFork = _messages.MessageField('SourceFork', 10)
sourceOperationResponse = _messages.MessageField('SourceOperationResponse', 11)
stopPosition = _messages.MessageField('Position', 12)
totalThrottlerWaitTimeSeconds = _messages.FloatField(13)
workItemId = _messages.StringField(14)
class WorkerHealthReport(_messages.Message):
"""WorkerHealthReport contains information about the health of a worker.
The VM should be identified by the labels attached to the WorkerMessage that
this health ping belongs to.
Messages:
PodsValueListEntry: A PodsValueListEntry object.
Fields:
pods: The pods running on the worker. See: http://kubernetes.io/v1.1/docs
/api-reference/v1/definitions.html#_v1_pod This field is used by the
worker to send the status of the indvidual containers running on each
worker.
reportInterval: The interval at which the worker is sending health
reports. The default value of 0 should be interpreted as the field is
not being explicitly set by the worker.
vmIsHealthy: Whether the VM is healthy.
vmStartupTime: The time the VM was booted.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class PodsValueListEntry(_messages.Message):
"""A PodsValueListEntry object.
Messages:
AdditionalProperty: An additional property for a PodsValueListEntry
object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a PodsValueListEntry object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
pods = _messages.MessageField('PodsValueListEntry', 1, repeated=True)
reportInterval = _messages.StringField(2)
vmIsHealthy = _messages.BooleanField(3)
vmStartupTime = _messages.StringField(4)
class WorkerHealthReportResponse(_messages.Message):
"""WorkerHealthReportResponse contains information returned to the worker in
response to a health ping.
Fields:
reportInterval: A positive value indicates the worker should change its
reporting interval to the specified value. The default value of zero
means no change in report rate is requested by the server.
"""
reportInterval = _messages.StringField(1)
class WorkerLifecycleEvent(_messages.Message):
"""A report of an event in a worker's lifecycle. The proto contains one
event, because the worker is expected to asynchronously send each message
immediately after the event. Due to this asynchrony, messages may arrive out
of order (or missing), and it is up to the consumer to interpret. The
timestamp of the event is in the enclosing WorkerMessage proto.
Enums:
EventValueValuesEnum: The event being reported.
Messages:
MetadataValue: Other stats that can accompany an event. E.g. {
"downloaded_bytes" : "123456" }
Fields:
containerStartTime: The start time of this container. All events will
report this so that events can be grouped together across container/VM
restarts.
event: The event being reported.
metadata: Other stats that can accompany an event. E.g. {
"downloaded_bytes" : "123456" }
"""
class EventValueValuesEnum(_messages.Enum):
"""The event being reported.
Values:
UNKNOWN_EVENT: Invalid event.
OS_START: The time the VM started.
CONTAINER_START: Our container code starts running. Multiple containers
could be distinguished with WorkerMessage.labels if desired.
NETWORK_UP: The worker has a functional external network connection.
STAGING_FILES_DOWNLOAD_START: Started downloading staging files.
STAGING_FILES_DOWNLOAD_FINISH: Finished downloading all staging files.
SDK_INSTALL_START: For applicable SDKs, started installation of SDK and
worker packages.
SDK_INSTALL_FINISH: Finished installing SDK.
"""
UNKNOWN_EVENT = 0
OS_START = 1
CONTAINER_START = 2
NETWORK_UP = 3
STAGING_FILES_DOWNLOAD_START = 4
STAGING_FILES_DOWNLOAD_FINISH = 5
SDK_INSTALL_START = 6
SDK_INSTALL_FINISH = 7
@encoding.MapUnrecognizedFields('additionalProperties')
class MetadataValue(_messages.Message):
"""Other stats that can accompany an event. E.g. { "downloaded_bytes" :
"123456" }
Messages:
AdditionalProperty: An additional property for a MetadataValue object.
Fields:
additionalProperties: Additional properties of type MetadataValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a MetadataValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
containerStartTime = _messages.StringField(1)
event = _messages.EnumField('EventValueValuesEnum', 2)
metadata = _messages.MessageField('MetadataValue', 3)
class WorkerMessage(_messages.Message):
"""WorkerMessage provides information to the backend about a worker.
Messages:
LabelsValue: Labels are used to group WorkerMessages. For example, a
worker_message about a particular container might have the labels: {
"JOB_ID": "2015-04-22", "WORKER_ID": "wordcount-vm-2015\u2026"
"CONTAINER_TYPE": "worker", "CONTAINER_ID": "ac1234def"} Label tags
typically correspond to Label enum values. However, for ease of
development other strings can be used as tags. LABEL_UNSPECIFIED should
not be used here.
Fields:
labels: Labels are used to group WorkerMessages. For example, a
worker_message about a particular container might have the labels: {
"JOB_ID": "2015-04-22", "WORKER_ID": "wordcount-vm-2015\u2026"
"CONTAINER_TYPE": "worker", "CONTAINER_ID": "ac1234def"} Label tags
typically correspond to Label enum values. However, for ease of
development other strings can be used as tags. LABEL_UNSPECIFIED should
not be used here.
time: The timestamp of the worker_message.
workerHealthReport: The health of a worker.
workerLifecycleEvent: Record of worker lifecycle events.
workerMessageCode: A worker message code.
workerMetrics: Resource metrics reported by workers.
workerShutdownNotice: Shutdown notice by workers.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class LabelsValue(_messages.Message):
"""Labels are used to group WorkerMessages. For example, a worker_message
about a particular container might have the labels: { "JOB_ID":
"2015-04-22", "WORKER_ID": "wordcount-vm-2015\u2026" "CONTAINER_TYPE":
"worker", "CONTAINER_ID": "ac1234def"} Label tags typically correspond
to Label enum values. However, for ease of development other strings can
be used as tags. LABEL_UNSPECIFIED should not be used here.
Messages:
AdditionalProperty: An additional property for a LabelsValue object.
Fields:
additionalProperties: Additional properties of type LabelsValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a LabelsValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
labels = _messages.MessageField('LabelsValue', 1)
time = _messages.StringField(2)
workerHealthReport = _messages.MessageField('WorkerHealthReport', 3)
workerLifecycleEvent = _messages.MessageField('WorkerLifecycleEvent', 4)
workerMessageCode = _messages.MessageField('WorkerMessageCode', 5)
workerMetrics = _messages.MessageField('ResourceUtilizationReport', 6)
workerShutdownNotice = _messages.MessageField('WorkerShutdownNotice', 7)
class WorkerMessageCode(_messages.Message):
"""A message code is used to report status and error messages to the
service. The message codes are intended to be machine readable. The service
will take care of translating these into user understandable messages if
necessary. Example use cases: 1. Worker processes reporting successful
startup. 2. Worker processes reporting specific errors (e.g. package
staging failure).
Messages:
ParametersValue: Parameters contains specific information about the code.
This is a struct to allow parameters of different types. Examples: 1.
For a "HARNESS_STARTED" message parameters might provide the name of
the worker and additional data like timing information. 2. For a
"GCS_DOWNLOAD_ERROR" parameters might contain fields listing the GCS
objects being downloaded and fields containing errors. In general
complex data structures should be avoided. If a worker needs to send a
specific and complicated data structure then please consider defining a
new proto and adding it to the data oneof in WorkerMessageResponse.
Conventions: Parameters should only be used for information that isn't
typically passed as a label. hostname and other worker identifiers
should almost always be passed as labels since they will be included on
most messages.
Fields:
code: The code is a string intended for consumption by a machine that
identifies the type of message being sent. Examples: 1.
"HARNESS_STARTED" might be used to indicate the worker harness has
started. 2. "GCS_DOWNLOAD_ERROR" might be used to indicate an error
downloading a GCS file as part of the boot process of one of the
worker containers. This is a string and not an enum to make it easy to
add new codes without waiting for an API change.
parameters: Parameters contains specific information about the code. This
is a struct to allow parameters of different types. Examples: 1. For a
"HARNESS_STARTED" message parameters might provide the name of the
worker and additional data like timing information. 2. For a
"GCS_DOWNLOAD_ERROR" parameters might contain fields listing the GCS
objects being downloaded and fields containing errors. In general
complex data structures should be avoided. If a worker needs to send a
specific and complicated data structure then please consider defining a
new proto and adding it to the data oneof in WorkerMessageResponse.
Conventions: Parameters should only be used for information that isn't
typically passed as a label. hostname and other worker identifiers
should almost always be passed as labels since they will be included on
most messages.
"""
@encoding.MapUnrecognizedFields('additionalProperties')
class ParametersValue(_messages.Message):
"""Parameters contains specific information about the code. This is a
struct to allow parameters of different types. Examples: 1. For a
"HARNESS_STARTED" message parameters might provide the name of the
worker and additional data like timing information. 2. For a
"GCS_DOWNLOAD_ERROR" parameters might contain fields listing the GCS
objects being downloaded and fields containing errors. In general complex
data structures should be avoided. If a worker needs to send a specific
and complicated data structure then please consider defining a new proto
and adding it to the data oneof in WorkerMessageResponse. Conventions:
Parameters should only be used for information that isn't typically passed
as a label. hostname and other worker identifiers should almost always be
passed as labels since they will be included on most messages.
Messages:
AdditionalProperty: An additional property for a ParametersValue object.
Fields:
additionalProperties: Properties of the object.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a ParametersValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
code = _messages.StringField(1)
parameters = _messages.MessageField('ParametersValue', 2)
class WorkerMessageResponse(_messages.Message):
"""A worker_message response allows the server to pass information to the
sender.
Fields:
workerHealthReportResponse: The service's response to a worker's health
report.
workerMetricsResponse: Service's response to reporting worker metrics
(currently empty).
workerShutdownNoticeResponse: Service's response to shutdown notice
(currently empty).
"""
workerHealthReportResponse = _messages.MessageField('WorkerHealthReportResponse', 1)
workerMetricsResponse = _messages.MessageField('ResourceUtilizationReportResponse', 2)
workerShutdownNoticeResponse = _messages.MessageField('WorkerShutdownNoticeResponse', 3)
class WorkerPool(_messages.Message):
"""Describes one particular pool of Cloud Dataflow workers to be
instantiated by the Cloud Dataflow service in order to perform the
computations required by a job. Note that a workflow job may use multiple
pools, in order to match the various computational requirements of the
various stages of the job.
Enums:
DefaultPackageSetValueValuesEnum: The default package set to install.
This allows the service to select a default set of packages which are
useful to worker harnesses written in a particular language.
IpConfigurationValueValuesEnum: Configuration for VM IPs.
TeardownPolicyValueValuesEnum: Sets the policy for determining when to
turndown worker pool. Allowed values are: `TEARDOWN_ALWAYS`,
`TEARDOWN_ON_SUCCESS`, and `TEARDOWN_NEVER`. `TEARDOWN_ALWAYS` means
workers are always torn down regardless of whether the job succeeds.
`TEARDOWN_ON_SUCCESS` means workers are torn down if the job succeeds.
`TEARDOWN_NEVER` means the workers are never torn down. If the workers
are not torn down by the service, they will continue to run and use
Google Compute Engine VM resources in the user's project until they are
explicitly terminated by the user. Because of this, Google recommends
using the `TEARDOWN_ALWAYS` policy except for small, manually supervised
test jobs. If unknown or unspecified, the service will attempt to
choose a reasonable default.
Messages:
MetadataValue: Metadata to set on the Google Compute Engine VMs.
PoolArgsValue: Extra arguments for this worker pool.
Fields:
autoscalingSettings: Settings for autoscaling of this WorkerPool.
dataDisks: Data disks that are used by a VM in this workflow.
defaultPackageSet: The default package set to install. This allows the
service to select a default set of packages which are useful to worker
harnesses written in a particular language.
diskSizeGb: Size of root disk for VMs, in GB. If zero or unspecified, the
service will attempt to choose a reasonable default.
diskSourceImage: Fully qualified source image for disks.
diskType: Type of root disk for VMs. If empty or unspecified, the service
will attempt to choose a reasonable default.
ipConfiguration: Configuration for VM IPs.
kind: The kind of the worker pool; currently only `harness` and `shuffle`
are supported.
machineType: Machine type (e.g. "n1-standard-1"). If empty or
unspecified, the service will attempt to choose a reasonable default.
metadata: Metadata to set on the Google Compute Engine VMs.
network: Network to which VMs will be assigned. If empty or unspecified,
the service will use the network "default".
numThreadsPerWorker: The number of threads per worker harness. If empty or
unspecified, the service will choose a number of threads (according to
the number of cores on the selected machine type for batch, or 1 by
convention for streaming).
numWorkers: Number of Google Compute Engine workers in this pool needed to
execute the job. If zero or unspecified, the service will attempt to
choose a reasonable default.
onHostMaintenance: The action to take on host maintenance, as defined by
the Google Compute Engine API.
packages: Packages to be installed on workers.
poolArgs: Extra arguments for this worker pool.
subnetwork: Subnetwork to which VMs will be assigned, if desired.
Expected to be of the form "regions/REGION/subnetworks/SUBNETWORK".
taskrunnerSettings: Settings passed through to Google Compute Engine
workers when using the standard Dataflow task runner. Users should
ignore this field.
teardownPolicy: Sets the policy for determining when to turndown worker
pool. Allowed values are: `TEARDOWN_ALWAYS`, `TEARDOWN_ON_SUCCESS`, and
`TEARDOWN_NEVER`. `TEARDOWN_ALWAYS` means workers are always torn down
regardless of whether the job succeeds. `TEARDOWN_ON_SUCCESS` means
workers are torn down if the job succeeds. `TEARDOWN_NEVER` means the
workers are never torn down. If the workers are not torn down by the
service, they will continue to run and use Google Compute Engine VM
resources in the user's project until they are explicitly terminated by
the user. Because of this, Google recommends using the `TEARDOWN_ALWAYS`
policy except for small, manually supervised test jobs. If unknown or
unspecified, the service will attempt to choose a reasonable default.
workerHarnessContainerImage: Required. Docker container image that
executes the Cloud Dataflow worker harness, residing in Google Container
Registry.
zone: Zone to run the worker pools in. If empty or unspecified, the
service will attempt to choose a reasonable default.
"""
class DefaultPackageSetValueValuesEnum(_messages.Enum):
"""The default package set to install. This allows the service to select
a default set of packages which are useful to worker harnesses written in
a particular language.
Values:
DEFAULT_PACKAGE_SET_UNKNOWN: The default set of packages to stage is
unknown, or unspecified.
DEFAULT_PACKAGE_SET_NONE: Indicates that no packages should be staged at
the worker unless explicitly specified by the job.
DEFAULT_PACKAGE_SET_JAVA: Stage packages typically useful to workers
written in Java.
DEFAULT_PACKAGE_SET_PYTHON: Stage pacakges typically useful to workers
written in Python.
"""
DEFAULT_PACKAGE_SET_UNKNOWN = 0
DEFAULT_PACKAGE_SET_NONE = 1
DEFAULT_PACKAGE_SET_JAVA = 2
DEFAULT_PACKAGE_SET_PYTHON = 3
class IpConfigurationValueValuesEnum(_messages.Enum):
"""Configuration for VM IPs.
Values:
WORKER_IP_UNSPECIFIED: The configuration is unknown, or unspecified.
WORKER_IP_PUBLIC: Workers should have public IP addresses.
WORKER_IP_PRIVATE: Workers should have private IP addresses.
"""
WORKER_IP_UNSPECIFIED = 0
WORKER_IP_PUBLIC = 1
WORKER_IP_PRIVATE = 2
class TeardownPolicyValueValuesEnum(_messages.Enum):
"""Sets the policy for determining when to turndown worker pool. Allowed
values are: `TEARDOWN_ALWAYS`, `TEARDOWN_ON_SUCCESS`, and
`TEARDOWN_NEVER`. `TEARDOWN_ALWAYS` means workers are always torn down
regardless of whether the job succeeds. `TEARDOWN_ON_SUCCESS` means
workers are torn down if the job succeeds. `TEARDOWN_NEVER` means the
workers are never torn down. If the workers are not torn down by the
service, they will continue to run and use Google Compute Engine VM
resources in the user's project until they are explicitly terminated by
the user. Because of this, Google recommends using the `TEARDOWN_ALWAYS`
policy except for small, manually supervised test jobs. If unknown or
unspecified, the service will attempt to choose a reasonable default.
Values:
TEARDOWN_POLICY_UNKNOWN: The teardown policy isn't specified, or is
unknown.
TEARDOWN_ALWAYS: Always teardown the resource.
TEARDOWN_ON_SUCCESS: Teardown the resource on success. This is useful
for debugging failures.
TEARDOWN_NEVER: Never teardown the resource. This is useful for
debugging and development.
"""
TEARDOWN_POLICY_UNKNOWN = 0
TEARDOWN_ALWAYS = 1
TEARDOWN_ON_SUCCESS = 2
TEARDOWN_NEVER = 3
@encoding.MapUnrecognizedFields('additionalProperties')
class MetadataValue(_messages.Message):
"""Metadata to set on the Google Compute Engine VMs.
Messages:
AdditionalProperty: An additional property for a MetadataValue object.
Fields:
additionalProperties: Additional properties of type MetadataValue
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a MetadataValue object.
Fields:
key: Name of the additional property.
value: A string attribute.
"""
key = _messages.StringField(1)
value = _messages.StringField(2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
@encoding.MapUnrecognizedFields('additionalProperties')
class PoolArgsValue(_messages.Message):
"""Extra arguments for this worker pool.
Messages:
AdditionalProperty: An additional property for a PoolArgsValue object.
Fields:
additionalProperties: Properties of the object. Contains field @type
with type URL.
"""
class AdditionalProperty(_messages.Message):
"""An additional property for a PoolArgsValue object.
Fields:
key: Name of the additional property.
value: A extra_types.JsonValue attribute.
"""
key = _messages.StringField(1)
value = _messages.MessageField('extra_types.JsonValue', 2)
additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)
autoscalingSettings = _messages.MessageField('AutoscalingSettings', 1)
dataDisks = _messages.MessageField('Disk', 2, repeated=True)
defaultPackageSet = _messages.EnumField('DefaultPackageSetValueValuesEnum', 3)
diskSizeGb = _messages.IntegerField(4, variant=_messages.Variant.INT32)
diskSourceImage = _messages.StringField(5)
diskType = _messages.StringField(6)
ipConfiguration = _messages.EnumField('IpConfigurationValueValuesEnum', 7)
kind = _messages.StringField(8)
machineType = _messages.StringField(9)
metadata = _messages.MessageField('MetadataValue', 10)
network = _messages.StringField(11)
numThreadsPerWorker = _messages.IntegerField(12, variant=_messages.Variant.INT32)
numWorkers = _messages.IntegerField(13, variant=_messages.Variant.INT32)
onHostMaintenance = _messages.StringField(14)
packages = _messages.MessageField('Package', 15, repeated=True)
poolArgs = _messages.MessageField('PoolArgsValue', 16)
subnetwork = _messages.StringField(17)
taskrunnerSettings = _messages.MessageField('TaskRunnerSettings', 18)
teardownPolicy = _messages.EnumField('TeardownPolicyValueValuesEnum', 19)
workerHarnessContainerImage = _messages.StringField(20)
zone = _messages.StringField(21)
class WorkerSettings(_messages.Message):
"""Provides data to pass through to the worker harness.
Fields:
baseUrl: The base URL for accessing Google Cloud APIs. When workers
access Google Cloud APIs, they logically do so via relative URLs. If
this field is specified, it supplies the base URL to use for resolving
these relative URLs. The normative algorithm used is defined by RFC
1808, "Relative Uniform Resource Locators". If not specified, the
default value is "http://www.googleapis.com/"
reportingEnabled: Whether to send work progress updates to the service.
servicePath: The Cloud Dataflow service path relative to the root URL, for
example, "dataflow/v1b3/projects".
shuffleServicePath: The Shuffle service path relative to the root URL, for
example, "shuffle/v1beta1".
tempStoragePrefix: The prefix of the resources the system should use for
temporary storage. The supported resource type is: Google Cloud
Storage: storage.googleapis.com/{bucket}/{object}
bucket.storage.googleapis.com/{object}
workerId: The ID of the worker running this pipeline.
"""
baseUrl = _messages.StringField(1)
reportingEnabled = _messages.BooleanField(2)
servicePath = _messages.StringField(3)
shuffleServicePath = _messages.StringField(4)
tempStoragePrefix = _messages.StringField(5)
workerId = _messages.StringField(6)
class WorkerShutdownNotice(_messages.Message):
"""Shutdown notification from workers. This is to be sent by the shutdown
script of the worker VM so that the backend knows that the VM is being shut
down.
Fields:
reason: The reason for the worker shutdown. Current possible values are:
"UNKNOWN": shutdown reason is unknown. "PREEMPTION": shutdown reason
is preemption. Other possible reasons may be added in the future.
"""
reason = _messages.StringField(1)
class WorkerShutdownNoticeResponse(_messages.Message):
"""Service-side response to WorkerMessage issuing shutdown notice."""
class WriteInstruction(_messages.Message):
"""An instruction that writes records. Takes one input, produces no outputs.
Fields:
input: The input.
sink: The sink to write to.
"""
input = _messages.MessageField('InstructionInput', 1)
sink = _messages.MessageField('Sink', 2)
encoding.AddCustomJsonFieldMapping(
StandardQueryParameters, 'f__xgafv', '$.xgafv')
encoding.AddCustomJsonEnumMapping(
StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1')
encoding.AddCustomJsonEnumMapping(
StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2')
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class ModuleDocFragment(object):
# Standard files documentation fragment
DOCUMENTATION = '''
options:
hostname:
description:
- IP Address or hostname of APIC resolvable by Ansible control host.
required: yes
aliases: [ host ]
username:
description:
- The username to use for authentication.
required: yes
default: admin
aliases: [ user ]
password:
description:
- The password to use for authentication.
required: yes
timeout:
description:
- The socket level timeout in seconds.
default: 30
use_proxy:
description:
- If C(no), it will not use a proxy, even if one is defined in an environment variable on the target hosts.
default: 'yes'
type: bool
use_ssl:
description:
- If C(no), an HTTP connection will be used instead of the default HTTPS connection.
type: bool
default: 'yes'
validate_certs:
description:
- If C(no), SSL certificates will not be validated.
- This should only set to C(no) used on personally controlled sites using self-signed certificates.
type: bool
default: 'yes'
notes:
- By default, if an environment variable C(<protocol>_proxy) is set on
the target host, requests will be sent through that proxy. This
behaviour can be overridden by setting a variable for this task
(see `setting the environment
<http://docs.ansible.com/playbooks_environment.html>`_),
or by using the C(use_proxy) option.
- HTTP redirects can redirect from HTTP to HTTPS so you should be sure that
your proxy environment for both protocols is correct.
'''
|
{
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"timestamp": "",
"source": "github",
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"binary": false,
"copies": "36",
"ref": "refs/heads/master",
"path": "scripts/ansible-play/.venv/lib/python2.7/site-packages/ansible/utils/module_docs_fragments/aci.py",
"mode": "33188",
"license": "bsd-3-clause",
"language": [
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"name": "C",
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},
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"name": "C++",
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},
{
"name": "CSS",
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},
{
"name": "CoffeeScript",
"bytes": "8521"
},
{
"name": "HTML",
"bytes": "61168"
},
{
"name": "JavaScript",
"bytes": "7206"
},
{
"name": "Makefile",
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},
{
"name": "PowerShell",
"bytes": "584344"
},
{
"name": "Python",
"bytes": "25506593"
},
{
"name": "Ruby",
"bytes": "245726"
},
{
"name": "Shell",
"bytes": "5075"
}
],
"symlink_target": ""
}
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"""
Cloudbreak API
Cloudbreak is a powerful left surf that breaks over a coral reef, a mile off southwest the island of Tavarua, Fiji. Cloudbreak is a cloud agnostic Hadoop as a Service API. Abstracts the provisioning and ease management and monitoring of on-demand clusters. SequenceIQ's Cloudbreak is a RESTful application development platform with the goal of helping developers to build solutions for deploying Hadoop YARN clusters in different environments. Once it is deployed in your favourite servlet container it exposes a REST API allowing to span up Hadoop clusters of arbitary sizes and cloud providers. Provisioning Hadoop has never been easier. Cloudbreak is built on the foundation of cloud providers API (Amazon AWS, Microsoft Azure, Google Cloud Platform, Openstack), Apache Ambari, Docker lightweight containers, Swarm and Consul. For further product documentation follow the link: <a href=\"http://hortonworks.com/apache/cloudbreak/\">http://hortonworks.com/apache/cloudbreak/</a>
OpenAPI spec version: 2.9.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class StackScaleRequestV2(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'group': 'str',
'desired_count': 'int'
}
attribute_map = {
'group': 'group',
'desired_count': 'desiredCount'
}
def __init__(self, group=None, desired_count=None):
"""
StackScaleRequestV2 - a model defined in Swagger
"""
self._group = None
self._desired_count = None
self.group = group
self.desired_count = desired_count
@property
def group(self):
"""
Gets the group of this StackScaleRequestV2.
name of the instance group
:return: The group of this StackScaleRequestV2.
:rtype: str
"""
return self._group
@group.setter
def group(self, group):
"""
Sets the group of this StackScaleRequestV2.
name of the instance group
:param group: The group of this StackScaleRequestV2.
:type: str
"""
if group is None:
raise ValueError("Invalid value for `group`, must not be `None`")
self._group = group
@property
def desired_count(self):
"""
Gets the desired_count of this StackScaleRequestV2.
scaling adjustment of the instance groups
:return: The desired_count of this StackScaleRequestV2.
:rtype: int
"""
return self._desired_count
@desired_count.setter
def desired_count(self, desired_count):
"""
Sets the desired_count of this StackScaleRequestV2.
scaling adjustment of the instance groups
:param desired_count: The desired_count of this StackScaleRequestV2.
:type: int
"""
if desired_count is None:
raise ValueError("Invalid value for `desired_count`, must not be `None`")
self._desired_count = desired_count
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, StackScaleRequestV2):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
|
{
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"timestamp": "",
"source": "github",
"line_count": 153,
"max_line_length": 984,
"avg_line_length": 32.16339869281046,
"alnum_prop": 0.5952042267831742,
"repo_name": "Chaffelson/whoville",
"id": "76c68448b99426f17e641bce7fe28dbc8ccd5dd8",
"size": "4938",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "whoville/cloudbreak/models/stack_scale_request_v2.py",
"mode": "33188",
"license": "apache-2.0",
"language": [
{
"name": "Dockerfile",
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},
{
"name": "HTML",
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},
{
"name": "Python",
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},
{
"name": "Shell",
"bytes": "95963"
},
{
"name": "TSQL",
"bytes": "345"
}
],
"symlink_target": ""
}
|
from __future__ import print_function
import argparse
import os
import sys
py3 = sys.version_info.major == 3
def warn(msg):
print('[powerline-bash] ', msg)
class Powerline:
symbols = {
'compatible': {
'lock': 'RO',
'network': 'SSH',
'separator': u'\u25B6',
'separator_thin': u'\u276F'
},
'patched': {
'lock': u'\uE0A2',
'network': u'\uE0A2',
'separator': u'\uE0B0',
'separator_thin': u'\uE0B1'
},
'flat': {
'lock': '',
'network': '',
'separator': '',
'separator_thin': ''
},
}
color_templates = {
'bash': '\\[\\e%s\\]',
'zsh': '%%{%s%%}',
'bare': '%s',
}
def __init__(self, args, cwd):
self.args = args
self.cwd = cwd
mode, shell = args.mode, args.shell
self.color_template = self.color_templates[shell]
self.reset = self.color_template % '[0m'
self.lock = Powerline.symbols[mode]['lock']
self.network = Powerline.symbols[mode]['network']
self.separator = Powerline.symbols[mode]['separator']
self.separator_thin = Powerline.symbols[mode]['separator_thin']
self.segments = []
def color(self, prefix, code):
if code is None:
return ''
else:
return self.color_template % ('[%s;5;%sm' % (prefix, code))
def fgcolor(self, code):
return self.color('38', code)
def bgcolor(self, code):
return self.color('48', code)
def append(self, content, fg, bg, separator=None, separator_fg=None):
self.segments.append((content, fg, bg,
separator if separator is not None else self.separator,
separator_fg if separator_fg is not None else bg))
def draw(self):
text = (''.join(self.draw_segment(i) for i in range(len(self.segments)))
+ self.reset) + ' '
if py3:
return text
else:
return text.encode('utf-8')
def draw_segment(self, idx):
segment = self.segments[idx]
next_segment = self.segments[idx + 1] if idx < len(self.segments)-1 else None
return ''.join((
self.fgcolor(segment[1]),
self.bgcolor(segment[2]),
segment[0],
self.bgcolor(next_segment[2]) if next_segment else self.reset,
self.fgcolor(segment[4]),
segment[3]))
def get_valid_cwd():
""" We check if the current working directory is valid or not. Typically
happens when you checkout a different branch on git that doesn't have
this directory.
We return the original cwd because the shell still considers that to be
the working directory, so returning our guess will confuse people
"""
# Prefer the PWD environment variable. Python's os.getcwd function follows
# symbolic links, which is undesirable. But if PWD is not set then fall
# back to this func
try:
cwd = os.getenv('PWD') or os.getcwd()
except:
warn("Your current directory is invalid. If you open a ticket at " +
"https://github.com/milkbikis/powerline-shell/issues/new " +
"we would love to help fix the issue.")
sys.stdout.write("> ")
sys.exit(1)
parts = cwd.split(os.sep)
up = cwd
while parts and not os.path.exists(up):
parts.pop()
up = os.sep.join(parts)
if cwd != up:
warn("Your current directory is invalid. Lowest valid directory: "
+ up)
return cwd
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('--cwd-mode', action='store',
help='How to display the current directory', default='fancy',
choices=['fancy', 'plain', 'dironly'])
arg_parser.add_argument('--cwd-only', action='store_true',
help='Deprecated. Use --cwd-mode=dironly')
arg_parser.add_argument('--cwd-max-depth', action='store', type=int,
default=5, help='Maximum number of directories to show in path')
arg_parser.add_argument('--cwd-max-dir-size', action='store', type=int,
help='Maximum number of letters displayed for each directory in the path')
arg_parser.add_argument('--colorize-hostname', action='store_true',
help='Colorize the hostname based on a hash of itself.')
arg_parser.add_argument('--mode', action='store', default='patched',
help='The characters used to make separators between segments',
choices=['patched', 'compatible', 'flat'])
arg_parser.add_argument('--shell', action='store', default='bash',
help='Set this to your shell type', choices=['bash', 'zsh', 'bare'])
arg_parser.add_argument('prev_error', nargs='?', type=int, default=0,
help='Error code returned by the last command')
args = arg_parser.parse_args()
powerline = Powerline(args, get_valid_cwd())
|
{
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"line_count": 143,
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"size": "5093",
"binary": false,
"copies": "3",
"ref": "refs/heads/master",
"path": "powerline-shell/powerline_shell_base.py",
"mode": "33261",
"license": "mit",
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{
"name": "Objective-C",
"bytes": "1928"
},
{
"name": "Python",
"bytes": "39592"
},
{
"name": "Shell",
"bytes": "115416"
}
],
"symlink_target": ""
}
|
from __future__ import print_function, unicode_literals
from __future__ import division, absolute_import
from tdbus import SimpleDBusConnection
import tdbus
conn = SimpleDBusConnection(tdbus.DBUS_BUS_SYSTEM)
print('Listing all well-known services on the system bus:')
print()
result = conn.call_method(tdbus.DBUS_PATH_DBUS, 'ListNames', tdbus.DBUS_INTERFACE_DBUS,
destination=tdbus.DBUS_SERVICE_DBUS)
for name in result.get_args()[0]:
if not name.startswith(':'):
print(' %s' % name)
print()
|
{
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"alnum_prop": 0.6955719557195572,
"repo_name": "Jajcus/python-tdbus",
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"size": "993",
"binary": false,
"copies": "2",
"ref": "refs/heads/master",
"path": "examples/listnames.py",
"mode": "33261",
"license": "mit",
"language": [
{
"name": "C",
"bytes": "62268"
},
{
"name": "Python",
"bytes": "42507"
}
],
"symlink_target": ""
}
|
from typing import Dict, List, Optional, TypeVar
from django.conf import settings
from django.conf.urls import url
from django.core.urlresolvers import LocaleRegexProvider
from django.utils.module_loading import import_string
"""This module declares all of the (documented) integrations available
in the Zulip server. The Integration class is used as part of
generating the documentation on the /integrations page, while the
WebhookIntegration class is also used to generate the URLs in
`zproject/urls.py` for webhook integrations.
To add a new non-webhook integration, add code to the INTEGRATIONS
dictionary below.
To add a new webhook integration, declare a WebhookIntegration in the
WEBHOOK_INTEGRATIONS list below (it will be automatically added to
INTEGRATIONS).
Over time, we expect this registry to grow additional convenience
features for writing and configuring integrations efficiently.
"""
class Integration(object):
DEFAULT_LOGO_STATIC_PATH = 'static/images/integrations/logos/{name}.png'
def __init__(self, name, client_name, logo=None, secondary_line_text=None, display_name=None):
# type: (str, str, Optional[str], Optional[str], Optional[str]) -> None
self.name = name
self.client_name = client_name
self.secondary_line_text = secondary_line_text
if logo is None:
logo = self.DEFAULT_LOGO_STATIC_PATH.format(name=name)
self.logo = logo
if display_name is None:
display_name = name.title()
self.display_name = display_name
def is_enabled(self):
# type: () -> bool
return True
class EmailIntegration(Integration):
def is_enabled(self):
# type: () -> bool
return settings.EMAIL_GATEWAY_BOT != ""
class WebhookIntegration(Integration):
DEFAULT_FUNCTION_PATH = 'zerver.views.webhooks.{name}.api_{name}_webhook'
DEFAULT_URL = 'api/v1/external/{name}'
DEFAULT_CLIENT_NAME = 'Zulip{name}Webhook'
def __init__(self, name, client_name=None, logo=None, secondary_line_text=None,
function=None, url=None, display_name=None):
# type: (str, Optional[str], Optional[str], Optional[str], Optional[str], Optional[str], Optional[str]) -> None
if client_name is None:
client_name = self.DEFAULT_CLIENT_NAME.format(name=name.title())
super(WebhookIntegration, self).__init__(name, client_name, logo, secondary_line_text, display_name)
if function is None:
function = self.DEFAULT_FUNCTION_PATH.format(name=name)
if isinstance(function, str):
function = import_string(function)
self.function = function
if url is None:
url = self.DEFAULT_URL.format(name=name)
self.url = url
@property
def url_object(self):
# type: () -> LocaleRegexProvider
return url(self.url, self.function)
class HubotLozenge(Integration):
GIT_URL_TEMPLATE = "https://github.com/hubot-scripts/hubot-{}"
def __init__(self, name, display_name=None, logo=None, logo_alt=None, git_url=None):
# type: (str, Optional[str], Optional[str], Optional[str], Optional[str]) -> None
if logo_alt is None:
logo_alt = "{} logo".format(name.title())
self.logo_alt = logo_alt
if git_url is None:
git_url = self.GIT_URL_TEMPLATE.format(name)
self.git_url = git_url
super(HubotLozenge, self).__init__(name, name, logo, display_name=display_name)
class GithubIntegration(WebhookIntegration):
"""
We need this class to don't creating url object for git integrations.
We want to have one generic url with dispatch function for github service and github webhook.
"""
@property
def url_object(self):
# type: () -> None
return
WEBHOOK_INTEGRATIONS = [
WebhookIntegration('airbrake'),
WebhookIntegration('appfollow', display_name='AppFollow'),
WebhookIntegration('beanstalk'),
WebhookIntegration('bitbucket2', logo='static/images/integrations/logos/bitbucket.png', display_name='Bitbucket'),
WebhookIntegration('bitbucket', secondary_line_text='(Enterprise)'),
WebhookIntegration('circleci', display_name='CircleCI'),
WebhookIntegration('codeship'),
WebhookIntegration('crashlytics'),
WebhookIntegration('deskdotcom', logo='static/images/integrations/logos/deskcom.png', display_name='Desk.com'),
WebhookIntegration('freshdesk'),
GithubIntegration(
'github',
function='zerver.views.webhooks.github.api_github_landing',
display_name='GitHub',
secondary_line_text='(deprecated)'
),
GithubIntegration(
'github_webhook',
display_name='GitHub',
logo='static/images/integrations/logos/github.png',
secondary_line_text='(webhook)',
function='zerver.views.webhooks.github_webhook.api_github_webhook'
),
WebhookIntegration('gitlab', display_name='GitLab'),
WebhookIntegration('helloworld', display_name='Hello World'),
WebhookIntegration('heroku', display_name='Heroku'),
WebhookIntegration('ifttt', function='zerver.views.webhooks.ifttt.api_iftt_app_webhook', display_name='IFTTT'),
WebhookIntegration('jira', secondary_line_text='(hosted or v5.2+)', display_name='JIRA'),
WebhookIntegration('librato'),
WebhookIntegration('mention', display_name='Mention'),
WebhookIntegration('newrelic', display_name='New Relic'),
WebhookIntegration('pagerduty'),
WebhookIntegration('papertrail'),
WebhookIntegration('pingdom'),
WebhookIntegration('pivotal', display_name='Pivotal Tracker'),
WebhookIntegration('semaphore'),
WebhookIntegration('sentry'),
WebhookIntegration('stash'),
WebhookIntegration('stripe', display_name='Stripe'),
WebhookIntegration('taiga'),
WebhookIntegration('teamcity'),
WebhookIntegration('transifex'),
WebhookIntegration('travis', display_name='Travis CI'),
WebhookIntegration('trello', secondary_line_text='(webhook)'),
WebhookIntegration('updown'),
WebhookIntegration(
'yo',
function='zerver.views.webhooks.yo.api_yo_app_webhook',
logo='static/images/integrations/logos/yo-app.png',
display_name='Yo App'
),
WebhookIntegration('zendesk')
] # type: List[WebhookIntegration]
INTEGRATIONS = {
'asana': Integration('asana', 'asana'),
'basecamp': Integration('basecamp', 'basecamp'),
'capistrano': Integration('capistrano', 'capistrano'),
'codebase': Integration('codebase', 'codebase'),
'email': Integration('email', 'email'),
'git': Integration('git', 'git'),
'hubot': Integration('hubot', 'hubot'),
'jenkins': Integration('jenkins', 'jenkins', secondary_line_text='(or Hudson)'),
'jira-plugin': Integration(
'jira-plugin',
'jira-plugin',
logo='static/images/integrations/logos/jira.png',
secondary_line_text='(locally installed)',
display_name='JIRA'
),
'mercurial': Integration('mercurial', 'mercurial', display_name='Mercurial (hg)'),
'nagios': Integration('nagios', 'nagios'),
'perforce': Integration('perforce', 'perforce'),
'phabricator': Integration('phabricator', 'phabricator'),
'puppet': Integration('puppet', 'puppet'),
'redmine': Integration('redmine', 'redmine'),
'rss': Integration('rss', 'rss', display_name='RSS'),
'subversion': Integration('subversion', 'subversion'),
'trac': Integration('trac', 'trac'),
'trello-plugin': Integration(
'trello-plugin',
'trello-plugin',
logo='static/images/integrations/logos/trello.png',
secondary_line_text='(legacy)',
display_name='Trello'
),
'twitter': Integration('twitter', 'twitter'),
} # type: Dict[str, Integration]
HUBOT_LOZENGES = {
'assembla': HubotLozenge('assembla'),
'bonusly': HubotLozenge('bonusly'),
'chartbeat': HubotLozenge('chartbeat'),
'darksky': HubotLozenge('darksky', display_name='Dark Sky', logo_alt='Dark Sky logo'),
'hangouts': HubotLozenge('google-hangouts', display_name="Hangouts"),
'instagram': HubotLozenge('instagram'),
'mailchump': HubotLozenge('mailchimp', display_name='MailChimp', logo_alt='MailChimp logo'),
'translate': HubotLozenge('google-translate', display_name="Translate", logo_alt='Google Translate logo'),
'youtube': HubotLozenge('youtube', display_name='YouTube', logo_alt='YouTube logo')
}
for integration in WEBHOOK_INTEGRATIONS:
INTEGRATIONS[integration.name] = integration
|
{
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"binary": false,
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"ref": "refs/heads/master",
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"name": "Groovy",
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},
{
"name": "HTML",
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},
{
"name": "JavaScript",
"bytes": "1404260"
},
{
"name": "Nginx",
"bytes": "1280"
},
{
"name": "Pascal",
"bytes": "1113"
},
{
"name": "Perl",
"bytes": "401825"
},
{
"name": "Puppet",
"bytes": "82466"
},
{
"name": "Python",
"bytes": "3018595"
},
{
"name": "Ruby",
"bytes": "249748"
},
{
"name": "Shell",
"bytes": "37195"
}
],
"symlink_target": ""
}
|
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import os
import logging
LOGGER = logging.getLogger(__name__)
def expand_path(path, log=False):
expanded = os.path.normpath(os.path.abspath(path))
if log and expanded != path:
LOGGER.debug('Expanded "%s" to "%s".', path, expanded)
return expanded
|
{
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"repo_name": "digitalrounin/py-lambda-packer",
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"size": "381",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "plpacker/utils.py",
"mode": "33188",
"license": "mit",
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"name": "Python",
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],
"symlink_target": ""
}
|
from __future__ import unicode_literals
from rest_framework.decorators import api_view
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpResponse
from django.conf import settings
from django.shortcuts import render
from tesseract import tesseract_exec
import os, StringIO
def index(request):
return render(request, 'index.html')
@csrf_exempt
@api_view(['GET', 'POST'])
def tesseractView(request, format=None):
if request.data.get('image') is None:
return Response("ERROR: Please upload an image", status=status.HTTP_400_BAD_REQUEST)
### Receive parameters set by user
parameters = request.data.dict()
del parameters['image'] # parameter 'image' will be processed seperately
image_object = request.FILES['image']
### Call tesseract function
text = tesseract_exec(image_object, parameters)
### Return tesseract result from memory
imagename_base, ext = os.path.splitext(str(image_object))
fname = imagename_base + ".txt"
strio = StringIO.StringIO()
strio.write(text)
response = HttpResponse(strio.getvalue(), content_type="application/force-download")
response["Content-Disposition"] = 'attachment; filename=%s' % fname
return response
|
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],
"symlink_target": ""
}
|
from django.contrib.admin import widgets
from django import forms
class FilteredSelectMultiple(forms.SelectMultiple):
"""
removing 2 select fields widget
"""
def __init__(self, verbose_name, is_stacked, attrs=None, choices=[]):
super(FilteredSelectMultiple, self).__init__(attrs, choices)
widgets.FilteredSelectMultiple = FilteredSelectMultiple
# using jquery ui to display .vDateField
widgets.AdminDateWidget.media = None
# TODO: find why this breaks django admin
# class MyAdminDateWidget(widgets.AdminDateWidget):
# def _media(self):
# return forms.Media(js=['admintools_bootstrap/js/jquery-ui-timepicker-addon.js'])
# media = property(_media)
# widgets.AdminDateWidget = MyAdminDateWidget
# patching admintools menu item
from admin_tools.menu import items
# adding icon argument to base MenuItem class
items.MenuItem.icon = None
import admintools_bootstrap.settings
# patching django's FieldSet
from django.contrib.admin import helpers
from django import forms
class Fieldset(helpers.Fieldset):
def _media(self):
if 'collapse' in self.classes:
return forms.Media(js=['admintools_bootstrap/bootstrap/js/bootstrap-collapse.js'])
return forms.Media()
media = property(_media)
helpers.Fieldset = Fieldset
|
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from setuptools import setup
setup(
name="pytest_snmpserver",
version="0.1.9",
packages=["pytest_snmpserver"],
long_description="SNMP server as a pytest plugin",
long_description_content_type="text/markdown",
python_requires=">=3.6",
install_requires=[],
entry_points={"pytest11": ["pytest_snmpserver = pytest_snmpserver.pytest_plugin"]},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
)
|
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"name": "Go",
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},
{
"name": "HTML",
"bytes": "543696"
},
{
"name": "Haml",
"bytes": "3958"
},
{
"name": "Haskell",
"bytes": "196"
},
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"name": "JavaScript",
"bytes": "2206937"
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{
"name": "Less",
"bytes": "797"
},
{
"name": "Makefile",
"bytes": "8974"
},
{
"name": "Mustache",
"bytes": "1234"
},
{
"name": "PHP",
"bytes": "14443"
},
{
"name": "PLSQL",
"bytes": "4143"
},
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"name": "Pascal",
"bytes": "319"
},
{
"name": "Python",
"bytes": "82458"
},
{
"name": "R",
"bytes": "11824"
},
{
"name": "Ruby",
"bytes": "509817"
},
{
"name": "Rust",
"bytes": "5904"
},
{
"name": "SCSS",
"bytes": "6053"
},
{
"name": "Shell",
"bytes": "30987"
}
],
"symlink_target": ""
}
|
"""
garage.exceptions
* created: 2014-08-23 Kevin Chan <kefin@makedostudio.com>
* updated: 2014-11-21 kchan
"""
from django.core.exceptions import ImproperlyConfigured
|
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"repo_name": "kefin/django-garage",
"id": "ac4951013ee7026200cacd67eabbe63692501eda",
"size": "194",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "garage/exceptions.py",
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"license": "bsd-3-clause",
"language": [
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}
],
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}
|
class AddArgs:
def __init__(self, args, add_rec=False, add_skip=False):
self.args = args
self.add_rec = add_rec
self.add_skip = add_skip
def extend(self, args):
if self.args is not None:
self.args.extend(args)
else:
self.args = args
|
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|
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
from radpress.readers import get_reader
class Migration(DataMigration):
no_dry_run = True
def forwards(self, orm):
reader = get_reader()
model_names = ['radpress.Article', 'radpress.Page']
for model_name in model_names:
for entry in orm[model_name].objects.all():
content_body, metadata = reader(entry.content).read()
entry.content_body = content_body
if model_name == 'radpress.Article':
if entry.cover_image:
image_id = entry.cover_image.id
else:
image_id = 'not specified'
tags = entry.tags.all().values_list('name', flat=True)
published = 'yes' if entry.is_published else 'no'
content = [
entry.title,
'#' * len(entry.title),
':slug: %s' % entry.slug,
':tags: %s' % ', '.join(tags),
':published: %s' % published,
':image: %s' % image_id,
'',
entry.content]
entry.content = '\n'.join(content)
entry.save()
def backwards(self, orm):
"Write your backwards methods here."
models = {
u'auth.group': {
'Meta': {'object_name': 'Group'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}),
'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'})
},
u'auth.permission': {
'Meta': {'ordering': "(u'content_type__app_label', u'content_type__model', u'codename')", 'unique_together': "((u'content_type', u'codename'),)", 'object_name': 'Permission'},
'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['contenttypes.ContentType']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'})
},
u'auth.user': {
'Meta': {'object_name': 'User'},
'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}),
'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}),
'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}),
'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'})
},
u'contenttypes.contenttype': {
'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"},
'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100'})
},
u'radpress.article': {
'Meta': {'ordering': "('-created_at', '-updated_at')", 'object_name': 'Article'},
'author': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['auth.User']", 'null': 'True'}),
'content': ('django.db.models.fields.TextField', [], {}),
'content_body': ('django.db.models.fields.TextField', [], {}),
'cover_image': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['radpress.EntryImage']", 'null': 'True', 'blank': 'True'}),
'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_published': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50'}),
'tags': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'to': u"orm['radpress.Tag']", 'null': 'True', 'through': u"orm['radpress.ArticleTag']", 'blank': 'True'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'})
},
u'radpress.articletag': {
'Meta': {'object_name': 'ArticleTag'},
'article': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['radpress.Article']"}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'tag': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['radpress.Tag']"})
},
u'radpress.entryimage': {
'Meta': {'object_name': 'EntryImage'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'image': ('django.db.models.fields.files.ImageField', [], {'max_length': '100'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'})
},
u'radpress.menu': {
'Meta': {'unique_together': "(('order', 'page'),)", 'object_name': 'Menu'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'order': ('django.db.models.fields.PositiveSmallIntegerField', [], {'default': '3'}),
'page': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['radpress.Page']", 'unique': 'True'})
},
u'radpress.page': {
'Meta': {'ordering': "('-created_at', '-updated_at')", 'object_name': 'Page'},
'content': ('django.db.models.fields.TextField', [], {}),
'content_body': ('django.db.models.fields.TextField', [], {}),
'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'is_published': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50'}),
'title': ('django.db.models.fields.CharField', [], {'max_length': '500'}),
'updated_at': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'})
},
u'radpress.tag': {
'Meta': {'object_name': 'Tag'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}),
'slug': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50'})
}
}
complete_apps = ['radpress']
symmetrical = True
|
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"""Settings for SAML SSO.
Version Added:
5.0
"""
from django.urls import reverse
from django.utils.translation import gettext_lazy as _
from djblets.siteconfig.models import SiteConfiguration
try:
from onelogin.saml2.constants import OneLogin_Saml2_Constants as constants
except ImportError:
constants = None
from reviewboard.admin.server import build_server_url
class SAMLSignatureAlgorithm(object):
"""Definitions for the signature algorithm.
Version Added:
5.0
"""
DSA_SHA1 = 'dsa-sha1'
RSA_SHA1 = 'rsa-sha1'
RSA_SHA256 = 'rsa-sha256'
RSA_SHA384 = 'rsa-sha384'
RSA_SHA512 = 'rsa-sha512'
CHOICES = (
(DSA_SHA1, 'DSA-SHA1'),
(RSA_SHA1, 'RSA-SHA1'),
(RSA_SHA256, 'RSA-SHA256'),
(RSA_SHA384, 'RSA-SHA384'),
(RSA_SHA512, 'RSA-SHA512'),
)
if constants:
TO_SAML2_SETTING_MAP = {
DSA_SHA1: constants.DSA_SHA1,
RSA_SHA1: constants.RSA_SHA1,
RSA_SHA256: constants.RSA_SHA256,
RSA_SHA384: constants.RSA_SHA384,
RSA_SHA512: constants.RSA_SHA512,
}
FROM_SAML2_SETTING_MAP = {
constants.DSA_SHA1: DSA_SHA1,
constants.RSA_SHA1: RSA_SHA1,
constants.RSA_SHA256: RSA_SHA256,
constants.RSA_SHA384: RSA_SHA384,
constants.RSA_SHA512: RSA_SHA512,
}
else:
TO_SAML2_SETTING_MAP = {}
FROM_SAML2_SETTING_MAP = {}
class SAMLDigestAlgorithm(object):
"""Definitions for the digest algorithm.
Version Added:
5.0
"""
SHA1 = 'sha1'
SHA256 = 'sha256'
SHA384 = 'sha384'
SHA512 = 'sha512'
CHOICES = (
(SHA1, 'SHA1'),
(SHA256, 'SHA256'),
(SHA384, 'SHA384'),
(SHA512, 'SHA512'),
)
if constants:
TO_SAML2_SETTING_MAP = {
SHA1: constants.SHA1,
SHA256: constants.SHA256,
SHA384: constants.SHA384,
SHA512: constants.SHA512,
}
FROM_SAML2_SETTING_MAP = {
constants.SHA1: SHA1,
constants.SHA256: SHA256,
constants.SHA384: SHA384,
constants.SHA512: SHA512,
}
else:
TO_SAML2_SETTING_MAP = {}
FROM_SAML2_SETTING_MAP = {}
class SAMLBinding(object):
"""Definitions for the binding type.
Version Added:
5.0
"""
HTTP_POST = 'http-post'
HTTP_REDIRECT = 'http-redirect'
CHOICES = (
(HTTP_POST, _('HTTP POST')),
(HTTP_REDIRECT, _('HTTP Redirect')),
)
if constants:
TO_SAML2_SETTING_MAP = {
HTTP_POST: constants.BINDING_HTTP_POST,
HTTP_REDIRECT: constants.BINDING_HTTP_REDIRECT,
}
FROM_SAML2_SETTING_MAP = {
constants.BINDING_HTTP_POST: HTTP_POST,
constants.BINDING_HTTP_REDIRECT: HTTP_REDIRECT,
}
else:
TO_SAML2_SETTING_MAP = {}
FROM_SAML2_SETTING_MAP = {}
def get_saml2_settings():
"""Return the SAML2.0 settings.
Version Added:
5.0
Returns:
dict:
A dictionary of the settings to use for SAML operations.
"""
siteconfig = SiteConfiguration.objects.get_current()
assert constants is not None
return {
'strict': True,
'debug': True,
'idp': {
'entityId': siteconfig.get('saml_issuer'),
'singleSignOnService': {
'url': siteconfig.get('saml_sso_url'),
'binding': SAMLBinding.TO_SAML2_SETTING_MAP[
siteconfig.get('saml_sso_binding_type')],
},
'singleLogoutService': {
'url': siteconfig.get('saml_slo_url'),
'binding': SAMLBinding.TO_SAML2_SETTING_MAP[
siteconfig.get('saml_slo_binding_type')],
},
'x509cert': siteconfig.get('saml_verification_cert'),
},
'sp': {
'entityId': build_server_url(
reverse('sso:saml:metadata', kwargs={'backend_id': 'saml'})),
'assertionConsumerService': {
'url': build_server_url(
reverse('sso:saml:acs', kwargs={'backend_id': 'saml'})),
'binding': constants.BINDING_HTTP_POST,
},
'singleLogoutService': {
'url': build_server_url(
reverse('sso:saml:sls', kwargs={'backend_id': 'saml'})),
'binding': constants.BINDING_HTTP_REDIRECT,
},
'NameIDFormat': constants.NAMEID_PERSISTENT,
'x509cert': '',
'privateKey': '',
},
}
|
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}
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import rospy
from pibot import srv, msg
from std_msgs.msg import String
pub = None
prior = 24
def handler(req):
global pub
m = msg.window()
m.prior = prior
m.timeout = req.timeout
m.content = req.message
m.id = 'msgbox'
pub.publish(m)
return True
def init():
rospy.init_node('screen_msgbox')
global pub
global sub
pub = rospy.Publisher('/pibot/windows', msg.window, queue_size=1)
s = rospy.Service('srv_msgbox', srv.msgbox, handler)
if __name__ == '__main__':
init()
rospy.spin()
|
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"""Tests for google.protobuf.message_factory."""
import os
os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION'] = 'cpp'
os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION_VERSION'] = '2'
# We must set the implementation version above before the google3 imports.
# pylint: disable=g-import-not-at-top
from google.apputils import basetest
from google.protobuf.internal import api_implementation
# Run all tests from the original module by putting them in our namespace.
# pylint: disable=wildcard-import
from google.protobuf.internal.message_factory_test import *
class ConfirmCppApi2Test(basetest.TestCase):
def testImplementationSetting(self):
self.assertEqual('cpp', api_implementation.Type())
self.assertEqual(2, api_implementation.Version())
if __name__ == '__main__':
basetest.main()
|
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import logging
if __name__ == '__main__':
logging.basicConfig()
_log = logging.getLogger(__name__)
import profile
import unittest
class TestIssue0048 (unittest.TestCase):
def testProfile (self):
amap = profile.AbstractFeatureBaseType._AttributeMap
self.assertEqual(1, len(amap))
if __name__ == '__main__':
unittest.main()
|
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"""Store game events in database
Usage:
munerator [options] store
Options:
-v --verbose Verbose logging
--context-socket url ZMQ socket for conext event [default: tcp://127.0.0.1:9002]
--database ip:port Host and port for mongo database [default: 127.0.0.1:27017]
--rcon-socket url ZMQ socket for rcon commands [default: tcp://127.0.0.1:9005]
"""
import json
import logging
import datetime
from functools import partial
import zmq
from docopt import docopt
from munerator.common.models import Games, Players, Votes, Gamemaps
from munerator.common.database import setup_eve_mongoengine
from munerator.games import GAMETYPE_IDS
log = logging.getLogger(__name__)
def handle_events(in_socket, rcon_socket):
"""
Loop over incoming messages and handle them individually.
"""
# prime commands for current game info
rcon_socket.send_string('status')
rcon_socket.send_string('getstatus')
handled = 0
log.info('listening for game events')
while True:
msg = in_socket.recv_string()
log.debug('got: %s' % msg)
data = json.loads(msg.split(' ', 1)[-1])
kind = data.get('kind')
try:
handle_event(kind, data, rcon_socket)
except:
log.exception('error in event handling %s' % msg)
handled += 1
if not handled % 100:
log.info('handled another 100 messages (total %s)' % handled)
def handle_event(kind, data, rcon_socket):
"""
Parse event message and update database with new information.
"""
# get player and/or game id from data
player_id = str(data.get('client_info', {}).get('guid', ''))
timestamp = str(data.get('game_info', {}).get('timestamp', ''))
player = Players.objects(guids=player_id).first()
if not player:
player = Players(guids=[player_id])
log.info('added new player %s' % data.get('client_info').get('name'))
player.save()
game, new_game = Games.objects.get_or_create(timestamp=timestamp) if timestamp else (None, None)
# handle player updates
if player and kind in ['clientbegin', 'clientdisconnect', 'clientuserinfochanged', 'playerscore', 'clientstatus']:
# on name change, store previous name
if data['client_info'] and player.name != data['client_info']['name']:
player.update(add_to_set__names=data['client_info']['name'])
# update variable data
player.update(**{'set__%s' % k: v for k, v in data['client_info'].items() if k in player.update_fields})
# add player to game
if game:
game.update(add_to_set__players=player)
# set last seen time
player.update(set__last_seen=datetime.datetime.now())
log.debug('updated player')
# handle game updates
if game and (kind in ['initgame', 'shutdowngame', 'getstatus'] or new_game):
# reset all current games
if kind == 'initgame':
Games.objects(current=True).update(set__current=False)
# update variable data
game.update(**{'set__%s' % k: v for k, v in data['game_info'].items() if k in game.update_fields})
# set game map
gamemap, new = Gamemaps.objects.get_or_create(name=data['game_info']['mapname'])
if new:
log.info('added map %s' % gamemap.name)
if game.gametype and int(game.gametype) in GAMETYPE_IDS:
gamemap.update(add_to_set__gametypes=int(game.gametype))
gamemap.save()
game.update(set__gamemap=gamemap)
# store game extra settings
if data.get('extras'):
game.options = data.get('extras')
game.save()
log.debug('updated game')
# on game shutdown
if kind == 'shutdowngame':
if game.players:
# update gamemap with last played time and increment play count
gamemap.update(inc__times_played=1, set__last_played=datetime.datetime.now())
else:
# delete game if not played
game.delete()
# reset players online status just to be sure
Players.objects(online=True).update(set__online=False, set__score=None, set__team=None)
# handle votes
if kind == 'say' and player and game:
vote = None
if data.get('text') in ['+1', 'gg', 'GG', 'GGG', 'like', 'fuckthismaprocks', '++', '+1337']:
vote = 1
elif data.get('text') in ['-1', '--1', '-11', '-1000', '-2', 'dislike', 'hate', 'RAGE!!!', 'fuckthismap', '--']:
vote = -1
if vote:
num_players = data.get('game_info', {}).get('num_players')
vote_obj = Votes(
player=player, game=game, gamemap=game.gamemap, gametype=game.gametype,
mapname=game.gamemap.name, num_players=num_players, vote=vote
)
rcon_socket.send_string('say %s^7 your vote has been counted' % player.name)
vote_obj.save()
log.info('saved vote')
# add vote to game
game.update(add_to_set__votes=vote_obj)
def main(argv):
args = docopt(__doc__, argv=argv)
# setup zmq input socket
context = zmq.Context()
in_socket = context.socket(zmq.SUB)
in_socket.connect(args['--context-socket'])
# apply message filters
filters = [
'initgame', 'shutdowngame', 'clientdisconnect', 'say',
'clientbegin', 'clientuserinfochanged', 'playerscore'
]
add_filter = partial(in_socket.setsockopt, zmq.SUBSCRIBE)
map(add_filter, filters)
# setup rcon socket
rcon_socket = context.socket(zmq.PUSH)
rcon_socket.connect(args['--rcon-socket'])
# setup database
host, port = args['--database'].split(':')
setup_eve_mongoengine(host, port)
# start event loop
handle_events(in_socket, rcon_socket)
|
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|
from misaka import Markdown, BaseRenderer, HtmlRenderer, \
SmartyPants, \
EXT_FENCED_CODE, EXT_TABLES, EXT_AUTOLINK, EXT_STRIKETHROUGH, \
EXT_SUPERSCRIPT, HTML_USE_XHTML, \
TABLE_ALIGN_L, TABLE_ALIGN_R, TABLE_ALIGN_C, \
TABLE_ALIGNMASK, TABLE_HEADER
class BleepRenderer(HtmlRenderer, SmartyPants):
def block_code(self, text, lang):
if lang:
lang = ' class="%s"' % lang
else:
lang = ''
return '\n<pre%s><code>%s</code></pre>\n' % (lang, text)
def block_quote(self, text):
return '\n<blockquote>%s</blockquote>\n' % text
def block_html(self, text):
return '\n%s' % text
def header(self, text, level):
return '\n<h%d>%s</h%d>\n' % (level, text, level)
def hrule(self):
if self.flags & HTML_USE_XHTML:
return '\n<hr/>\n'
else:
return '\n<hr>\n'
def list(self, text, is_ordered):
if is_ordered:
return '\n<ol>%s</ol>\n' % text
else:
return '\n<ul>%s</ul>\n' % text
def list_item(self, text, is_ordered):
return '<li>%s</li>\n' % text
def paragraph(self, text):
# No hard wrapping yet. Maybe with:
# http://docs.python.org/library/textwrap.html
return '\n<p>%s</p>\n' % text
def table(self, header, body):
return '\n<table><thead>\n%s</thead><tbody>\n%s</tbody></table>\n' % \
(header, body)
def table_row(self, text):
return '<tr>\n%s</tr>\n' % text
def table_cell(self, text, flags):
flags = flags & TABLE_ALIGNMASK
if flags == TABLE_ALIGN_C:
align = 'align="center"'
elif flags == TABLE_ALIGN_L:
align = 'align="left"'
elif flags == TABLE_ALIGN_R:
align = 'align="right"'
else:
align = ''
if flags & TABLE_HEADER:
return '<th%s>%s</th>\n' % (align, text)
else:
return '<td%s>%s</td>\n' % (align, text)
def autolink(self, link, is_email):
if is_email:
return '<a href="mailto:%(link)s">%(link)s</a>' % {'link': link}
else:
return '<a href="%(link)s">%(link)s</a>' % {'link': link}
def preprocess(self, text):
return text.replace(' ', '_')
md = Markdown(BleepRenderer(),
EXT_FENCED_CODE | EXT_TABLES | EXT_AUTOLINK |
EXT_STRIKETHROUGH | EXT_SUPERSCRIPT)
print(md.render('''
Unordered
- One
- Two
- Three
And now ordered:
1. Three
2. Two
3. One
An email: example@example.com
And an URL: http://example.com
'''))
|
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|
import pytest
from cutadapt.__main__ import (
main,
parse_cutoffs,
parse_lengths,
CommandLineError,
setup_logging,
)
def test_help():
with pytest.raises(SystemExit) as e:
main(["--help"])
assert e.value.args[0] == 0
def test_parse_cutoffs():
assert parse_cutoffs("5") == (0, 5)
assert parse_cutoffs("6,7") == (6, 7)
with pytest.raises(CommandLineError):
parse_cutoffs("a,7")
with pytest.raises(CommandLineError):
parse_cutoffs("a")
with pytest.raises(CommandLineError):
parse_cutoffs("a,7")
with pytest.raises(CommandLineError):
parse_cutoffs("1,2,3")
def test_parse_lengths():
assert parse_lengths("25") == (25,)
assert parse_lengths("17:25") == (17, 25)
assert parse_lengths("25:") == (25, None)
assert parse_lengths(":25") == (None, 25)
with pytest.raises(CommandLineError):
parse_lengths("1:2:3")
with pytest.raises(CommandLineError):
parse_lengths("a:2")
with pytest.raises(CommandLineError):
parse_lengths("a")
with pytest.raises(CommandLineError):
parse_lengths("2:a")
with pytest.raises(CommandLineError):
parse_lengths(":")
def test_setup_logging():
import logging
logger = logging.getLogger(__name__)
setup_logging(logger, log_to_stderr=False, quiet=False, minimal=False, debug=False)
logger.info("Log message")
setup_logging(logger, log_to_stderr=False, debug=1)
setup_logging(logger, log_to_stderr=False, quiet=True)
setup_logging(logger, log_to_stderr=False, minimal=True)
|
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|
from .test_base_doc import AbstractTestDoc
class TestLatinDoc(AbstractTestDoc):
text = 'Omnia gallia\nin tres part-\nes divisa est.'
language = 'latin'
def test_normalize(self):
self.ready()
test = self.doc.normalize()
compare = 'Omnia gallia\nin tres part-\nes diuisa est.'
return self.assertEqual(test, compare)
def test_stemmify(self):
self.ready()
test = self.doc.stemmify()
compare = 'omn gallia\nin tr part-\n divis est. '
return self.assertEqual(test, compare)
|
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"ref": "refs/heads/master",
"path": "arakhne/doc/tests/test_latin_doc.py",
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|
from __future__ import absolute_import, unicode_literals
import base64
import errno
import hashlib
import json
import os
import shutil
from StringIO import StringIO
from django.core.files import temp as tempfile
from django.core.files.uploadedfile import SimpleUploadedFile
from django.http.multipartparser import MultiPartParser
from django.test import TestCase, client
from django.utils import unittest
from . import uploadhandler
from .models import FileModel, temp_storage, UPLOAD_TO
UNICODE_FILENAME = 'test-0123456789_中文_Orléans.jpg'
class FileUploadTests(TestCase):
def test_simple_upload(self):
with open(__file__, 'rb') as fp:
post_data = {
'name': 'Ringo',
'file_field': fp,
}
response = self.client.post('/file_uploads/upload/', post_data)
self.assertEqual(response.status_code, 200)
def test_large_upload(self):
tdir = tempfile.gettempdir()
file1 = tempfile.NamedTemporaryFile(suffix=".file1", dir=tdir)
file1.write(b'a' * (2 ** 21))
file1.seek(0)
file2 = tempfile.NamedTemporaryFile(suffix=".file2", dir=tdir)
file2.write(b'a' * (10 * 2 ** 20))
file2.seek(0)
post_data = {
'name': 'Ringo',
'file_field1': file1,
'file_field2': file2,
}
for key in post_data.keys():
try:
post_data[key + '_hash'] = hashlib.sha1(post_data[key].read()).hexdigest()
post_data[key].seek(0)
except AttributeError:
post_data[key + '_hash'] = hashlib.sha1(post_data[key]).hexdigest()
response = self.client.post('/file_uploads/verify/', post_data)
self.assertEqual(response.status_code, 200)
def test_base64_upload(self):
test_string = "This data will be transmitted base64-encoded."
payload = "\r\n".join([
'--' + client.BOUNDARY,
'Content-Disposition: form-data; name="file"; filename="test.txt"',
'Content-Type: application/octet-stream',
'Content-Transfer-Encoding: base64',
'',
base64.b64encode(test_string),
'--' + client.BOUNDARY + '--',
'',
]).encode('utf-8')
r = {
'CONTENT_LENGTH': len(payload),
'CONTENT_TYPE': client.MULTIPART_CONTENT,
'PATH_INFO': "/file_uploads/echo_content/",
'REQUEST_METHOD': 'POST',
'wsgi.input': client.FakePayload(payload),
}
response = self.client.request(**r)
received = json.loads(response.content)
self.assertEqual(received['file'], test_string)
def test_unicode_file_name(self):
tdir = tempfile.gettempdir()
# This file contains chinese symbols and an accented char in the name.
with open(os.path.join(tdir, UNICODE_FILENAME.encode('utf-8')), 'w+b') as file1:
file1.write(b'b' * (2 ** 10))
file1.seek(0)
post_data = {
'file_unicode': file1,
}
response = self.client.post('/file_uploads/unicode_name/', post_data)
try:
os.unlink(file1.name)
except:
pass
self.assertEqual(response.status_code, 200)
def test_dangerous_file_names(self):
"""Uploaded file names should be sanitized before ever reaching the view."""
# This test simulates possible directory traversal attacks by a
# malicious uploader We have to do some monkeybusiness here to construct
# a malicious payload with an invalid file name (containing os.sep or
# os.pardir). This similar to what an attacker would need to do when
# trying such an attack.
scary_file_names = [
"/tmp/hax0rd.txt", # Absolute path, *nix-style.
"C:\\Windows\\hax0rd.txt", # Absolute path, win-syle.
"C:/Windows/hax0rd.txt", # Absolute path, broken-style.
"\\tmp\\hax0rd.txt", # Absolute path, broken in a different way.
"/tmp\\hax0rd.txt", # Absolute path, broken by mixing.
"subdir/hax0rd.txt", # Descendant path, *nix-style.
"subdir\\hax0rd.txt", # Descendant path, win-style.
"sub/dir\\hax0rd.txt", # Descendant path, mixed.
"../../hax0rd.txt", # Relative path, *nix-style.
"..\\..\\hax0rd.txt", # Relative path, win-style.
"../..\\hax0rd.txt" # Relative path, mixed.
]
payload = []
for i, name in enumerate(scary_file_names):
payload.extend([
'--' + client.BOUNDARY,
'Content-Disposition: form-data; name="file%s"; filename="%s"' % (i, name),
'Content-Type: application/octet-stream',
'',
'You got pwnd.'
])
payload.extend([
'--' + client.BOUNDARY + '--',
'',
])
payload = "\r\n".join(payload).encode('utf-8')
r = {
'CONTENT_LENGTH': len(payload),
'CONTENT_TYPE': client.MULTIPART_CONTENT,
'PATH_INFO': "/file_uploads/echo/",
'REQUEST_METHOD': 'POST',
'wsgi.input': client.FakePayload(payload),
}
response = self.client.request(**r)
# The filenames should have been sanitized by the time it got to the view.
recieved = json.loads(response.content)
for i, name in enumerate(scary_file_names):
got = recieved["file%s" % i]
self.assertEqual(got, "hax0rd.txt")
def test_filename_overflow(self):
"""File names over 256 characters (dangerous on some platforms) get fixed up."""
name = "%s.txt" % ("f"*500)
payload = "\r\n".join([
'--' + client.BOUNDARY,
'Content-Disposition: form-data; name="file"; filename="%s"' % name,
'Content-Type: application/octet-stream',
'',
'Oops.'
'--' + client.BOUNDARY + '--',
'',
]).encode('utf-8')
r = {
'CONTENT_LENGTH': len(payload),
'CONTENT_TYPE': client.MULTIPART_CONTENT,
'PATH_INFO': "/file_uploads/echo/",
'REQUEST_METHOD': 'POST',
'wsgi.input': client.FakePayload(payload),
}
got = json.loads(self.client.request(**r).content)
self.assertTrue(len(got['file']) < 256, "Got a long file name (%s characters)." % len(got['file']))
def test_truncated_multipart_handled_gracefully(self):
"""
If passed an incomplete multipart message, MultiPartParser does not
attempt to read beyond the end of the stream, and simply will handle
the part that can be parsed gracefully.
"""
payload = "\r\n".join([
'--' + client.BOUNDARY,
'Content-Disposition: form-data; name="file"; filename="foo.txt"',
'Content-Type: application/octet-stream',
'',
'file contents'
'--' + client.BOUNDARY + '--',
'',
]).encode('utf-8')
payload = payload[:-10]
r = {
'CONTENT_LENGTH': len(payload),
'CONTENT_TYPE': client.MULTIPART_CONTENT,
'PATH_INFO': '/file_uploads/echo/',
'REQUEST_METHOD': 'POST',
'wsgi.input': client.FakePayload(payload),
}
got = json.loads(self.client.request(**r).content)
self.assertEqual(got, {})
def test_empty_multipart_handled_gracefully(self):
"""
If passed an empty multipart message, MultiPartParser will return
an empty QueryDict.
"""
r = {
'CONTENT_LENGTH': 0,
'CONTENT_TYPE': client.MULTIPART_CONTENT,
'PATH_INFO': '/file_uploads/echo/',
'REQUEST_METHOD': 'POST',
'wsgi.input': client.FakePayload(b''),
}
got = json.loads(self.client.request(**r).content)
self.assertEqual(got, {})
def test_custom_upload_handler(self):
# A small file (under the 5M quota)
smallfile = tempfile.NamedTemporaryFile()
smallfile.write(b'a' * (2 ** 21))
smallfile.seek(0)
# A big file (over the quota)
bigfile = tempfile.NamedTemporaryFile()
bigfile.write(b'a' * (10 * 2 ** 20))
bigfile.seek(0)
# Small file posting should work.
response = self.client.post('/file_uploads/quota/', {'f': smallfile})
got = json.loads(response.content)
self.assertTrue('f' in got)
# Large files don't go through.
response = self.client.post("/file_uploads/quota/", {'f': bigfile})
got = json.loads(response.content)
self.assertTrue('f' not in got)
def test_broken_custom_upload_handler(self):
f = tempfile.NamedTemporaryFile()
f.write(b'a' * (2 ** 21))
f.seek(0)
# AttributeError: You cannot alter upload handlers after the upload has been processed.
self.assertRaises(
AttributeError,
self.client.post,
'/file_uploads/quota/broken/',
{'f': f}
)
def test_fileupload_getlist(self):
file1 = tempfile.NamedTemporaryFile()
file1.write(b'a' * (2 ** 23))
file1.seek(0)
file2 = tempfile.NamedTemporaryFile()
file2.write(b'a' * (2 * 2 ** 18))
file2.seek(0)
file2a = tempfile.NamedTemporaryFile()
file2a.write(b'a' * (5 * 2 ** 20))
file2a.seek(0)
response = self.client.post('/file_uploads/getlist_count/', {
'file1': file1,
'field1': 'test',
'field2': 'test3',
'field3': 'test5',
'field4': 'test6',
'field5': 'test7',
'file2': (file2, file2a)
})
got = json.loads(response.content)
self.assertEqual(got.get('file1'), 1)
self.assertEqual(got.get('file2'), 2)
def test_file_error_blocking(self):
"""
The server should not block when there are upload errors (bug #8622).
This can happen if something -- i.e. an exception handler -- tries to
access POST while handling an error in parsing POST. This shouldn't
cause an infinite loop!
"""
class POSTAccessingHandler(client.ClientHandler):
"""A handler that'll access POST during an exception."""
def handle_uncaught_exception(self, request, resolver, exc_info):
ret = super(POSTAccessingHandler, self).handle_uncaught_exception(request, resolver, exc_info)
p = request.POST
return ret
# Maybe this is a little more complicated that it needs to be; but if
# the django.test.client.FakePayload.read() implementation changes then
# this test would fail. So we need to know exactly what kind of error
# it raises when there is an attempt to read more than the available bytes:
try:
client.FakePayload(b'a').read(2)
except Exception as reference_error:
pass
# install the custom handler that tries to access request.POST
self.client.handler = POSTAccessingHandler()
with open(__file__, 'rb') as fp:
post_data = {
'name': 'Ringo',
'file_field': fp,
}
try:
response = self.client.post('/file_uploads/upload_errors/', post_data)
except reference_error.__class__ as err:
self.assertFalse(
str(err) == str(reference_error),
"Caught a repeated exception that'll cause an infinite loop in file uploads."
)
except Exception as err:
# CustomUploadError is the error that should have been raised
self.assertEqual(err.__class__, uploadhandler.CustomUploadError)
def test_filename_case_preservation(self):
"""
The storage backend shouldn't mess with the case of the filenames
uploaded.
"""
# Synthesize the contents of a file upload with a mixed case filename
# so we don't have to carry such a file in the Django tests source code
# tree.
vars = {'boundary': 'oUrBoUnDaRyStRiNg'}
post_data = [
'--%(boundary)s',
'Content-Disposition: form-data; name="file_field"; '
'filename="MiXeD_cAsE.txt"',
'Content-Type: application/octet-stream',
'',
'file contents\n'
'',
'--%(boundary)s--\r\n',
]
response = self.client.post(
'/file_uploads/filename_case/',
'\r\n'.join(post_data) % vars,
'multipart/form-data; boundary=%(boundary)s' % vars
)
self.assertEqual(response.status_code, 200)
id = int(response.content)
obj = FileModel.objects.get(pk=id)
# The name of the file uploaded and the file stored in the server-side
# shouldn't differ.
self.assertEqual(os.path.basename(obj.testfile.path), 'MiXeD_cAsE.txt')
class DirectoryCreationTests(unittest.TestCase):
"""
Tests for error handling during directory creation
via _save_FIELD_file (ticket #6450)
"""
def setUp(self):
self.obj = FileModel()
if not os.path.isdir(temp_storage.location):
os.makedirs(temp_storage.location)
if os.path.isdir(UPLOAD_TO):
os.chmod(UPLOAD_TO, 0700)
shutil.rmtree(UPLOAD_TO)
def tearDown(self):
os.chmod(temp_storage.location, 0700)
shutil.rmtree(temp_storage.location)
def test_readonly_root(self):
"""Permission errors are not swallowed"""
os.chmod(temp_storage.location, 0500)
try:
self.obj.testfile.save('foo.txt', SimpleUploadedFile('foo.txt', b'x'))
except OSError as err:
self.assertEqual(err.errno, errno.EACCES)
except Exception:
self.fail("OSError [Errno %s] not raised." % errno.EACCES)
def test_not_a_directory(self):
"""The correct IOError is raised when the upload directory name exists but isn't a directory"""
# Create a file with the upload directory name
open(UPLOAD_TO, 'wb').close()
try:
self.obj.testfile.save('foo.txt', SimpleUploadedFile('foo.txt', b'x'))
except IOError as err:
# The test needs to be done on a specific string as IOError
# is raised even without the patch (just not early enough)
self.assertEqual(err.args[0],
"%s exists and is not a directory." % UPLOAD_TO)
except:
self.fail("IOError not raised")
class MultiParserTests(unittest.TestCase):
def test_empty_upload_handlers(self):
# We're not actually parsing here; just checking if the parser properly
# instantiates with empty upload handlers.
parser = MultiPartParser({
'CONTENT_TYPE': 'multipart/form-data; boundary=_foo',
'CONTENT_LENGTH': '1'
}, StringIO('x'), [], 'utf-8')
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"""Hook to run tf.GraphKeys.UPDATE_OPS."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
class UpdateOpsHook(tf.train.SessionRunHook):
"""Hook to run assign_ops."""
def before_run(self, run_context):
del run_context
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
return tf.train.SessionRunArgs(update_ops)
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|
import logging
import os
import sys
import numpy as np
import tensorflow as tf
from ludwig.constants import AUDIO, BACKFILL, TIED, TYPE, COLUMN, PROC_COLUMN, \
PREPROCESSING, NAME
from ludwig.encoders.sequence_encoders import StackedCNN, ParallelCNN, \
StackedParallelCNN, StackedRNN, SequencePassthroughEncoder, StackedCNNRNN
from ludwig.features.sequence_feature import SequenceInputFeature
from ludwig.utils.audio_utils import calculate_mean, calculate_var
from ludwig.utils.audio_utils import get_fbank
from ludwig.utils.audio_utils import get_group_delay
from ludwig.utils.audio_utils import get_length_in_samp
from ludwig.utils.audio_utils import get_max_length_stft_based
from ludwig.utils.audio_utils import get_non_symmetric_length
from ludwig.utils.audio_utils import get_phase_stft_magnitude
from ludwig.utils.audio_utils import get_stft_magnitude
from ludwig.utils.data_utils import get_abs_path
from ludwig.utils.misc_utils import set_default_value
from ludwig.utils.misc_utils import set_default_values
logger = logging.getLogger(__name__)
class AudioFeatureMixin(object):
type = AUDIO
preprocessing_defaults = {
'audio_file_length_limit_in_s': 7.5,
'missing_value_strategy': BACKFILL,
'in_memory': True,
'padding_value': 0,
'norm': None,
'audio_feature': {
TYPE: 'raw',
}
}
@staticmethod
def cast_column(feature, dataset_df, backend):
return dataset_df
@staticmethod
def get_feature_meta(column, preprocessing_parameters, backend):
try:
import soundfile
except ImportError:
logger.error(
' soundfile is not installed. '
'In order to install all audio feature dependencies run '
'pip install ludwig[audio]'
)
sys.exit(-1)
audio_feature_dict = preprocessing_parameters['audio_feature']
first_audio_file_path = column.head(1)[0]
_, sampling_rate_in_hz = soundfile.read(first_audio_file_path)
feature_dim = AudioFeatureMixin._get_feature_dim(audio_feature_dict,
sampling_rate_in_hz)
audio_file_length_limit_in_s = preprocessing_parameters[
'audio_file_length_limit_in_s']
max_length = AudioFeatureMixin._get_max_length_feature(
audio_feature_dict, sampling_rate_in_hz,
audio_file_length_limit_in_s)
return {
'feature_dim': feature_dim,
'sampling_rate_in_hz': sampling_rate_in_hz,
'max_length': max_length,
'reshape': (max_length, feature_dim)
}
@staticmethod
def _get_feature_dim(audio_feature_dict, sampling_rate_in_hz):
feature_type = audio_feature_dict[TYPE]
if feature_type == 'raw':
feature_dim = 1
elif feature_type == 'stft_phase':
feature_dim_symmetric = get_length_in_samp(
audio_feature_dict['window_length_in_s'], sampling_rate_in_hz)
feature_dim = 2 * get_non_symmetric_length(feature_dim_symmetric)
elif feature_type in ['stft', 'group_delay']:
feature_dim_symmetric = get_length_in_samp(
audio_feature_dict['window_length_in_s'], sampling_rate_in_hz)
feature_dim = get_non_symmetric_length(feature_dim_symmetric)
elif feature_type == 'fbank':
feature_dim = audio_feature_dict['num_filter_bands']
else:
raise ValueError('{} is not recognized.'.format(feature_type))
return feature_dim
@staticmethod
def _process_in_memory(
column,
src_path,
audio_feature_dict,
feature_dim,
max_length,
padding_value,
normalization_type,
audio_file_length_limit_in_s,
backend
):
try:
import soundfile
except ImportError:
logger.error(
' soundfile is not installed. '
'In order to install all audio feature dependencies run '
'pip install ludwig[audio]'
)
sys.exit(-1)
def read_audio(path):
filepath = get_abs_path(src_path, path)
return soundfile.read(filepath)
df_engine = backend.df_engine
raw_audio = df_engine.map_objects(column, read_audio)
processed_audio = df_engine.map_objects(
raw_audio,
lambda row: AudioFeatureMixin._transform_to_feature(
audio=row[0],
sampling_rate_in_hz=row[1],
audio_feature_dict=audio_feature_dict,
feature_dim=feature_dim,
max_length=max_length,
padding_value=padding_value,
normalization_type=normalization_type
)
)
audio_stats = df_engine.map_objects(
raw_audio,
lambda row: AudioFeatureMixin._get_stats(
audio=row[0],
sampling_rate_in_hz=row[1],
max_length_in_s=audio_file_length_limit_in_s,
)
)
def reduce(series):
merged_stats = None
for audio_stats in series:
if merged_stats is None:
merged_stats = audio_stats.copy()
else:
AudioFeatureMixin._merge_stats(merged_stats, audio_stats)
return merged_stats
merged_stats = df_engine.reduce_objects(audio_stats, reduce)
merged_stats['mean'] = calculate_mean(merged_stats['sum'], merged_stats['count'])
merged_stats['var'] = calculate_var(merged_stats['sum'], merged_stats['sum2'], merged_stats['count'])
return processed_audio, merged_stats
@staticmethod
def _transform_to_feature(
audio,
sampling_rate_in_hz,
audio_feature_dict,
feature_dim,
max_length,
padding_value,
normalization_type
):
feature_type = audio_feature_dict[TYPE]
if feature_type == 'raw':
audio_feature = np.expand_dims(audio, axis=-1)
elif feature_type in ['stft', 'stft_phase', 'group_delay', 'fbank']:
audio_feature = np.transpose(
AudioFeatureMixin._get_2D_feature(audio, feature_type,
audio_feature_dict,
sampling_rate_in_hz))
else:
raise ValueError('{} is not recognized.'.format(feature_type))
if normalization_type == 'per_file':
mean = np.mean(audio_feature, axis=0)
std = np.std(audio_feature, axis=0)
audio_feature = np.divide((audio_feature - mean),
std + 1.0e-10)
elif normalization_type == 'global':
raise ValueError('not implemented yet')
feature_length = audio_feature.shape[0]
broadcast_feature_length = min(feature_length, max_length)
audio_feature_padded = np.full((max_length, feature_dim),
padding_value,
dtype=np.float32)
audio_feature_padded[:broadcast_feature_length, :] = audio_feature[
:max_length, :]
return audio_feature_padded
@staticmethod
def _get_stats(audio, sampling_rate_in_hz, max_length_in_s):
audio_length_in_s = audio.shape[-1] / float(sampling_rate_in_hz)
return {
'count': 1,
'sum': audio_length_in_s,
'sum2': audio_length_in_s * audio_length_in_s,
'min': audio_length_in_s,
'max': audio_length_in_s,
'cropped': 1 if audio_length_in_s > max_length_in_s else 0
}
@staticmethod
def _merge_stats(merged_stats, audio_stats):
merged_stats['count'] += audio_stats['count']
merged_stats['sum'] += audio_stats['sum']
merged_stats['sum2'] += audio_stats['sum2']
merged_stats['min'] = min(merged_stats['min'], audio_stats['min'])
merged_stats['max'] = max(merged_stats['max'], audio_stats['max'])
merged_stats['cropped'] += audio_stats['cropped']
@staticmethod
def _get_2D_feature(audio, feature_type, audio_feature_dict,
sampling_rate_in_hz):
window_length_in_s = audio_feature_dict['window_length_in_s']
window_shift_in_s = audio_feature_dict['window_shift_in_s']
window_length_in_samp = get_length_in_samp(window_length_in_s,
sampling_rate_in_hz)
if 'num_fft_points' in audio_feature_dict:
num_fft_points = audio_feature_dict['num_fft_points']
if num_fft_points < window_length_in_samp:
raise ValueError(
'num_fft_points: {} < window length in '
'samples: {} (corresponds to window length'
' in s: {}'.format(num_fft_points, window_length_in_s,
window_length_in_samp))
else:
num_fft_points = window_length_in_samp
if 'window_type' in audio_feature_dict:
window_type = audio_feature_dict['window_type']
else:
window_type = 'hamming'
if feature_type == 'stft_phase':
return get_phase_stft_magnitude(audio, sampling_rate_in_hz,
window_length_in_s,
window_shift_in_s, num_fft_points,
window_type)
if feature_type == 'stft':
return get_stft_magnitude(audio, sampling_rate_in_hz,
window_length_in_s, window_shift_in_s,
num_fft_points, window_type)
if feature_type == 'group_delay':
return get_group_delay(audio, sampling_rate_in_hz,
window_length_in_s, window_shift_in_s,
num_fft_points, window_type)
if feature_type == 'fbank':
num_filter_bands = audio_feature_dict['num_filter_bands']
return get_fbank(audio, sampling_rate_in_hz,
window_length_in_s, window_shift_in_s,
num_fft_points, window_type, num_filter_bands)
@staticmethod
def add_feature_data(
feature,
input_df,
proc_df,
metadata,
preprocessing_parameters,
backend
):
set_default_value(
feature['preprocessing'],
'in_memory',
preprocessing_parameters['in_memory']
)
if 'audio_feature' not in preprocessing_parameters:
raise ValueError(
'audio_feature dictionary has to be present in preprocessing '
'for audio.')
if TYPE not in preprocessing_parameters['audio_feature']:
raise ValueError(
'type has to be present in audio_feature dictionary '
'for audio.')
name = feature[NAME]
column = feature[COLUMN]
proc_column = feature[PROC_COLUMN]
src_path = None
# this is not super nice, but works both and DFs and lists
first_path = '.'
for first_path in input_df[column]:
break
if hasattr(input_df, 'src'):
src_path = os.path.dirname(os.path.abspath(input_df.src))
if src_path is None and not os.path.isabs(first_path):
raise ValueError('Audio file paths must be absolute')
num_audio_utterances = len(input_df)
padding_value = preprocessing_parameters['padding_value']
normalization_type = preprocessing_parameters['norm']
feature_dim = metadata[name]['feature_dim']
max_length = metadata[name]['max_length']
audio_feature_dict = preprocessing_parameters['audio_feature']
audio_file_length_limit_in_s = preprocessing_parameters[
'audio_file_length_limit_in_s']
if num_audio_utterances == 0:
raise ValueError(
'There are no audio files in the dataset provided.')
if feature[PREPROCESSING]['in_memory']:
audio_features, audio_stats = AudioFeatureMixin._process_in_memory(
input_df[feature[NAME]],
src_path,
audio_feature_dict,
feature_dim,
max_length,
padding_value,
normalization_type,
audio_file_length_limit_in_s,
backend
)
proc_df[proc_column] = audio_features
audio_stats['std'] = np.sqrt(
audio_stats['var'] / float(audio_stats['count']))
print_statistics = (
"{} audio files loaded.\n"
"Statistics of audio file lengths:\n"
"- mean: {:.4f}\n"
"- std: {:.4f}\n"
"- max: {:.4f}\n"
"- min: {:.4f}\n"
"- cropped audio_files: {}\n"
"Max length was given as {}s"
).format(
audio_stats['count'], audio_stats['mean'],
audio_stats['std'], audio_stats['max'],
audio_stats['min'], audio_stats['cropped'],
audio_file_length_limit_in_s)
logger.debug(print_statistics)
else:
backend.check_lazy_load_supported(feature)
return proc_df
@staticmethod
def _get_max_length_feature(
audio_feature_dict,
sampling_rate_in_hz,
audio_length_limit_in_s
):
feature_type = audio_feature_dict[TYPE]
audio_length_limit_in_samp = (
audio_length_limit_in_s * sampling_rate_in_hz
)
if not audio_length_limit_in_samp.is_integer():
raise ValueError(
'Audio_file_length_limit has to be chosen '
'so that {} (in s) * {} (sampling rate in Hz) '
'is an integer.'.format(
audio_length_limit_in_s, sampling_rate_in_hz))
audio_length_limit_in_samp = int(audio_length_limit_in_samp)
if feature_type == 'raw':
return audio_length_limit_in_samp
elif feature_type in ['stft', 'stft_phase', 'group_delay', 'fbank']:
window_length_in_s = audio_feature_dict['window_length_in_s']
window_shift_in_s = audio_feature_dict['window_shift_in_s']
return get_max_length_stft_based(audio_length_limit_in_samp,
window_length_in_s,
window_shift_in_s,
sampling_rate_in_hz)
else:
raise ValueError('{} is not recognized.'.format(feature_type))
class AudioInputFeature(AudioFeatureMixin, SequenceInputFeature):
encoder = 'parallel_cnn'
max_sequence_length = None
embedding_size = None
def __init__(self, feature, encoder_obj=None):
super().__init__(feature, encoder_obj=encoder_obj)
if not self.embedding_size:
raise ValueError(
'embedding_size has to be defined - '
'check "update_config_with_metadata()"')
if not self.max_sequence_length:
raise ValueError(
'max_sequence_length has to be defined - '
'check "update_config_with_metadata()"')
def call(self, inputs, training=None, mask=None):
assert isinstance(inputs, tf.Tensor)
assert inputs.dtype == tf.float32
assert len(inputs.shape) == 3
encoder_output = self.encoder_obj(
inputs, training=training, mask=mask
)
return encoder_output
@classmethod
def get_input_dtype(cls):
return tf.float32
def get_input_shape(self):
return self.max_sequence_length, self.embedding_size
@staticmethod
def update_config_with_metadata(
input_feature,
feature_metadata,
*args,
**kwargs
):
input_feature['max_sequence_length'] = feature_metadata['max_length']
input_feature['embedding_size'] = feature_metadata['feature_dim']
input_feature['should_embed'] = False
@staticmethod
def populate_defaults(input_feature):
set_default_values(
input_feature,
{
TIED: None,
'preprocessing': {}
}
)
encoder_registry = {
'stacked_cnn': StackedCNN,
'parallel_cnn': ParallelCNN,
'stacked_parallel_cnn': StackedParallelCNN,
'rnn': StackedRNN,
'cnnrnn': StackedCNNRNN,
'passthrough': SequencePassthroughEncoder,
'null': SequencePassthroughEncoder,
'none': SequencePassthroughEncoder,
'None': SequencePassthroughEncoder,
None: SequencePassthroughEncoder
}
|
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import kfp
from kfp import dsl
def print_op(msg):
"""Print a message."""
return dsl.ContainerOp(
name='Print',
image='alpine:3.6',
command=['echo', msg],
)
@dsl.pipeline(
name='Pipeline service account',
description='The pipeline shows how to set the max number of parallel pods in a pipeline.'
)
def pipeline_parallelism():
op1 = print_op('hey, what are you up to?')
op2 = print_op('train my model.')
dsl.get_pipeline_conf().set_parallelism(1)
if __name__ == '__main__':
kfp.compiler.Compiler().compile(pipeline_parallelism, __file__ + '.yaml')
|
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|
""" Helper script to dump all information for an architecture """
import argparse
import html
from ppci import api
from ppci.arch import encoding
arch = api.get_arch('msp430')
arch = api.get_arch('x86_64')
def mkstr(s):
if isinstance(s, str):
return s
elif isinstance(s, encoding.Operand):
return '${}'.format(s._name)
else:
raise NotImplementedError()
filename = 'arch_info.html'
with open(filename, 'w') as f:
print("""<html>
<body>
""", file=f)
# Create a list:
instructions = []
for i in arch.isa.instructions:
if not i.syntax:
continue
syntax = ''.join(mkstr(s) for s in i.syntax.syntax)
instructions.append((syntax, i))
print('<h1>Instructions</h1>', file=f)
print('<p>{} instructions available</p>'.format(len(instructions)), file=f)
print('<table border="1">', file=f)
print('<tr><th>syntax</th><th>Class</th></tr>', file=f)
for syntax, ins_class in sorted(instructions, key=lambda x: x[0]):
print('<tr>'.format(), file=f)
print('<td>{}</td>'.format(html.escape(syntax)), file=f)
print('<td>{}</td>'.format(html.escape(str(ins_class))), file=f)
print('</tr>'.format(), file=f)
print('</table>', file=f)
print("""</body>
</html>
""", file=f)
|
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from datetime import datetime
from threading import Thread
import psutil
import time
old_status = None
current_nic_status = None
# convert bytes to kilobytes
def bytes_to_kb(byts):
return byts / 1024
# loop every second to update records
def update_nics():
global old_status
global current_nic_status
while True:
# get current net status
new_stats = psutil.net_io_counters(pernic=True)
# get 1 second difference in KB
current_nic_status = list()
nic_names = list()
for nic in old_status.keys():
nic_names.append(nic)
for i in range(0, len(old_status)):
diff_sent = round(bytes_to_kb(new_stats[nic_names[i]].bytes_sent - old_status[nic_names[i]].bytes_sent), 3)
diff_recv = round(bytes_to_kb(new_stats[nic_names[i]].bytes_recv - old_status[nic_names[i]].bytes_recv), 3)
current_nic_status.append(NIC(nic_names[i], diff_sent, diff_recv))
old_status = new_stats
time.sleep(1)
class Network:
def __init__(self):
global old_status
# initial list
old_status = psutil.net_io_counters(pernic=True)
# start thread process
thd = Thread(target=update_nics)
thd.daemon = True
thd.start()
# retrieve NICs update
def get_nic_status(self):
global current_nic_status
# NICs
return current_nic_status
class NIC:
def __init__(self, _name, _sent, _recv):
self.name = _name
self.sent = _sent
self.recv = _recv
|
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"""Tests for text_util."""
from absl.testing import parameterized
import tensorflow as tf
from tensorflow_model_analysis.experimental.preprocessing_functions import text
class TextTest(tf.test.TestCase, parameterized.TestCase):
@parameterized.named_parameters(
('EmptyString', [''], [[]]),
('SingleString', ['Test foo Bar'], [['test', 'foo', 'bar']]),
('BatchedString', ['app dog', 'test foo bar'], [['app', 'dog', ''],
['test', 'foo', 'bar']]),
)
def testWhitespaceTokenization(self, input_text, expected_output):
# TODO(b/194508683) Delete the check when TF1 is deprecated.
if tf.__version__ < '2':
return
actual = text.whitespace_tokenization(input_text).to_tensor()
expected = tf.constant(expected_output, dtype=tf.string)
self.assertAllEqual(actual, expected)
if __name__ == '__main__':
tf.test.main()
|
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from tests import unittest
from mock import Mock
from ....utils import MockHttpResource, setup_test_homeserver
from synapse.types import UserID
from twisted.internet import defer
PATH_PREFIX = "/_matrix/client/v2_alpha"
class V2AlphaRestTestCase(unittest.TestCase):
# Consumer must define
# USER_ID = <some string>
# TO_REGISTER = [<list of REST servlets to register>]
@defer.inlineCallbacks
def setUp(self):
self.mock_resource = MockHttpResource(prefix=PATH_PREFIX)
hs = yield setup_test_homeserver(
datastore=self.make_datastore_mock(),
http_client=None,
resource_for_client=self.mock_resource,
resource_for_federation=self.mock_resource,
)
def _get_user_by_token(token=None):
return {
"user": UserID.from_string(self.USER_ID),
"admin": False,
"device_id": None,
"token_id": 1,
}
hs.get_auth().get_user_by_token = _get_user_by_token
for r in self.TO_REGISTER:
r.register_servlets(hs, self.mock_resource)
def make_datastore_mock(self):
store = Mock(spec=[
"insert_client_ip",
])
store.get_app_service_by_token = Mock(return_value=None)
return store
|
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"""Setup.py module for the workflow's worker utilities.
All the workflow related code is gathered in a package that will be built as a
source distribution, staged in the staging area for the workflow being run and
then installed in the workers when they start running.
This behavior is triggered by specifying the --setup_file command line option
when running the workflow for remote execution.
"""
from distutils.command.build import build as _build
import subprocess
import setuptools
# This class handles the pip install mechanism.
class build(_build): # pylint: disable=invalid-name
"""A build command class that will be invoked during package install.
The package built using the current setup.py will be staged and later
installed in the worker using `pip install package'. This class will be
instantiated during install for this specific scenario and will trigger
running the custom commands specified.
"""
sub_commands = _build.sub_commands + [('CustomCommands', None)]
# Some custom command to run during setup. The command is not essential for this
# workflow. It is used here as an example. Each command will spawn a child
# process. Typically, these commands will include steps to install non-Python
# packages. For instance, to install a C++-based library libjpeg62 the following
# two commands will have to be added:
#
# ['apt-get', 'update'],
# ['apt-get', '--assume-yes', install', 'libjpeg62'],
#
# First, note that there is no need to use the sudo command because the setup
# script runs with appropriate access.
# Second, if apt-get tool is used then the first command needs to be 'apt-get
# update' so the tool refreshes itself and initializes links to download
# repositories. Without this initial step the other apt-get install commands
# will fail with package not found errors. Note also --assume-yes option which
# shortcuts the interactive confirmation.
#
# The output of custom commands (including failures) will be logged in the
# worker-startup log.
CUSTOM_COMMANDS = [
]
class CustomCommands(setuptools.Command):
"""A setuptools Command class able to run arbitrary commands."""
def initialize_options(self):
pass
def finalize_options(self):
pass
def RunCustomCommand(self, command_list):
print('Running command: %s' % command_list)
p = subprocess.Popen(
command_list,
stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
# Can use communicate(input='y\n'.encode()) if the command run requires
# some confirmation.
stdout_data, _ = p.communicate()
print('Command output: %s' % stdout_data)
if p.returncode != 0:
raise RuntimeError(
'Command %s failed: exit code: %s' % (command_list, p.returncode))
def run(self):
for command in CUSTOM_COMMANDS:
self.RunCustomCommand(command)
# Configure the required packages and scripts to install.
# Note that the Python Dataflow containers come with numpy already installed
# so this dependency will not trigger anything to be installed unless a version
# restriction is specified.
REQUIRED_PACKAGES = [
'timezonefinder',
'pytz'
]
setuptools.setup(
name='flightsdf',
version='0.0.1',
description='Data Science on GCP flights analysis pipelines',
install_requires=REQUIRED_PACKAGES,
packages=setuptools.find_packages(),
py_modules=['df07'],
cmdclass={
# Command class instantiated and run during pip install scenarios.
'build': build,
'CustomCommands': CustomCommands,
}
)
|
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import MySQLdb as mdb
import argparse
import os
import csv
import sys
def createDoc(doc):
file = open(doc, "w")
file.close()
def makeID(): #This is important when running this program from the command line because it generates a keywordID
file = open("ID.txt", "w")
first = str(0)
file.write(first)
file.close()
def uniTable(cur, table_char,dtb): #This just allows for changing between databases with similar basic structure
cur.execute("SHOW TABLES FROM %s LIKE '%%%s%%'" % (dtb, table_char))
val=cur.fetchall()
table=val[0][0]
return table
def uniCol(cur, table, col_char, type):
cur.execute("SHOW COLUMNS FROM %s LIKE '%%%s%%'" % (table, col_char))
val = cur.fetchall()
for i in range(len(val)):
if type in val[i][1]:
return val[i][0]
def writeArtID(cur, dtb): #The ngrams are stored as either an .xml.csv or .txt.csv preceded by the doi of the article. Doi's in mysql are formatted differently, so this method is used to properly format them.
table = uniTable(cur, 'oc', dtb)
article = uniCol(cur, table, 'doi', 'varchar')
cur.execute("SELECT %s FROM %s" % (article, table))
rows=cur.fetchall()
articles = []
for i in range(len(rows)):
artID = tup2str(rows[i])
if '10.1146/' in artID:
artID = artID.replace('10.1146/', '')
else:
artID = artID.replace('http://www.annualreviews.org/doi/abs/','')
articles.append(artID)
return articles
def nGramSearch(cur, keyword, dtb, doc): #The ngram search is long and tedious. It takes the keyword that is given, and the document that addToDoc() makes. Then, it takes the doi given by the writeArtID() method and looks for the csv that correlates to that article. When it finds the article, it searches for the keyword in the file. If it is found, it checks to make sure the doc Id correlating with the doi is not already stored, and, if it isn't, stores the docID. It has a very long run time, so it is an optional method.
table = uniTable(cur, 'oc', dtb)
docID = uniCol(cur, table, 'id', 'int')
articleID = uniCol(cur, table, 'doi', 'varchar')
articles = writeArtID(cur, dtb)
file = open(doc, 'r')
docList= file.readlines()
file.close()
artList = []
file=open("error.txt", "w")
for i in range(len(articles)):
if os.path.isfile('/mnt/AnnualReviews/ngrams_flash0/%s.txt.csv' % articles[i]):
f = open('/mnt/AnnualReviews/ngrams_flash0/%s.txt.csv' % articles[i], 'rb')
elif os.path.isfile('/mnt/AnnualReviews/ngrams_flash0/%s.xml.csv' % articles[i]):
f = open('/mnt/AnnualReviews/ngrams_flash0/%s.xml.csv' % articles[i], 'rb')
elif os.path.isfile('/mnt/AnnualReviews/ngrams_flash1/%s.txt.csv' % articles[i]):
f = open('/mnt/AnnualReviews/ngrams_flash1/%s.txt.csv' % articles[i], 'rb')
elif os.path.isfile('/mnt/AnnualReviews/ngrams_flash1/%s.xml.csv' % articles[i]):
f = open('/mnt/AnnualReviews/ngrams_flash1/%s.xml.csv' % articles[i], 'rb')
elif os.path.isfile('/mnt/AnnualReviews/ngrams_flash2/%s.txt.csv' % articles[i]):
f = open('/mnt/AnnualReviews/ngrams_flash2/%s.xml.csv' % articles[i], 'rb')
else:
try:
f = open('/mnt/AnnualReviews/ngrams_flash2/%s.xml.csv' % articles[i], 'rb')
except:
e = sys.exc_info()[0]
print(articles[i])
file.write("%s\n" % articles[i])
reader = csv.reader(f)
for row in reader:
if keyword in row:
article = '10.1146/'+articles[i]
cur.execute("SELECT %s FROM %s WHERE %s = %s" % (docID, table, articleID, article))
rows = cur.fetchall()
for k in range(len(docList)):
if tup2str(rows[0]) in docList[k]:
continue;
artList.append(tup2int(rows[0]))
file.close()
return artList
def tup2int(tup):
return int('.'.join(str(x) for x in tup))
def tup2str(tup):
return str(','.join(str(x) for x in tup))
def addToDoc(cur, ID, dtb, doc, keyword, args = None, ngram = None): #This method, while somewhat long is actually pretty simple. All it does is accept an ID number for the keyword, the doc name of where the docID should be saved, the keyword, and, if only the docID is necessary, a keyword. If you want ngrams, you can specify that too through optional arguments at the command line, or when you call writeOne() or wirteTwo() from another program. Without the Ngrams, it just searches the Titles and Abstracts in the MySQL database, searchign for the keyword. If found, it records the docID.
table = uniTable(cur,'oc',dtb)
docId = uniCol(cur,table, 'id', 'int')
title = uniCol(cur,table, 'itl', 'text')
abstract = uniCol(cur,table, 'act', 'text')
file = open(doc, "r")
check = "Keyword: %s\n" % keyword
checkID = "KeywordID: %d\n" % ID
for line in file:
if checkID == line:
print("That is already a documented keyword")
return
if check == line:
print("That is already a documented keyword")
return
file.close()
file = open(doc, "a")
cur.execute("SELECT %s FROM %s WHERE %s LIKE '%%%s%%' OR %s LIKE '%%%s%%'" % (docId, table, title, keyword, abstract, keyword))
rows = cur.fetchall()
for row in rows:
if args==None:
print("INSERTED: KEYWORDID: %d, KEYWORD: '%s' , DOCID: %d)" % (ID, keyword, tup2int(row)))
file.write("KeywordID: %d\nKeyword: %s\nDocID: %d\n \n" % (ID, keyword, tup2int(row)))
if args=="docID":
file.write("%d\n" % tup2int(row))
if args=="Keyowrd":
file.write("%s\n" % keyword)
if args=="KeywordID":
file.write("%d\n" % ID)
if ngram is not None:
artList= nGramSearch(cur, keyword, dtb, doc)
for i in range(len(artList)):
if args==None:
print("INSERTED: KEYWORDID: %d, KEYWORD: '%s' , DOCID: %d)" % (ID, keyword, tup2int(row)))
file.write("KeywordID: %d\nKeyword: %s\nDocID: %d\n \n" % (ID, keyword, artList[i]))
if args=="docID":
file.write("%d\n" % artList[i])
file.close()
ID += 1
Id = str(ID)
if args ==None or args=="KeywordID":
file = open("ID.txt", "a")
file.write("%s\n" %Id)
file.close()
def makeUnion(doc, doc2): #Make union is very simple. It takes two documents which contain the docID's for their separate keyword matches and sees if there are any docIDs that are in both.
store=[]
Idnum=[line.strip() for line in open(doc)]
Idnum2=[line.strip() for line in open(doc2)]
for i in range(len(Idnum)):
for x in range(len(Idnum2)):
if Idnum[i]==Idnum2[x]:
store.append(Idnum[i])
if len(store) > 0:
file = open("union.txt", "w")
for i in range(len(store)):
file.write("%s\n" % store[i])
def writeOne(keywd, dtb, arg, ngrams=None): #writeOne and write two should only be used by other programs when they call this one. It is not used at the command line.
dbs = mdb.connect(user = "root", passwd = "root", db = dtb)
cur = dbs.cursor()
ID = 0
doc = "%s.txt" % keywd
createDoc(doc)
if ngrams is not None:
addToDoc(cur, ID, dtb, doc, keywd, args = arg, ngram=ngrams)
else:
addToDoc(cur, ID, dtb, doc, keywd, args = arg)
cur.close()
dbs.close()
def writeTwo(keywd, keywd2, dtb, arg, ngrams=None):
dbs = mdb.connect(user = "root", passwd = "root", db = dtb)
cur = dbs.cursor()
ID = 0
doc = "%s.txt" % keywd
doc2 = "%s.txt" % keywd2
createDoc(doc)
createDoc(doc2)
if ngrams is not None:
addToDoc(cur, ID, dtb, doc, keywd, args = arg, ngram=ngrams)
addToDoc(cur, ID, dtb, doc2, keywd2, args = arg, ngram=ngrams)
else:
addToDoc(cur, ID, dtb, doc, keywd, args = arg)
addToDoc(cur, ID, dtb, doc2, keywd2, args = arg)
cur.close()
dbs.close()
if __name__=='__main__':
parser = argparse.ArgumentParser()
parser.add_argument('keywrd')
parser.add_argument('database')
parser.add_argument('--ngram')
args = parser.parse_args()
dbs = mdb.connect(user = "root", passwd = "root", db = args.database);
cur = dbs.cursor()
doc = "%s.txt" % args.keywrd
if os.path.isfile(doc):
file = open("ID.txt", "r")
lineList = file.readlines()
file.close()
ID = int(lineList[-1])
if args.ngram:
addToDoc(cur, ID, args.database, doc, args.keywrd, ngram=true)
else:
addToDoc(cur, ID, args.database, doc, args.keywrd)
cur.close()
dbs.close()
else:
createDoc(doc)
makeID()
file = open("ID.txt","r")
ID = int(file.read())
if args.ngram:
addToDoc(cur, ID, args.database, doc, args.keywrd, ngram=true)
else:
addToDoc(cur, ID, args.database, doc, args.keywrd)
cur.close()
dbs.close()
|
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from app.constants import S_OK, S_ERR
import random
import math
import base64
import time
import ujson as json
from app import cfg
from app import util
def p_img_info_handler(data):
cfg.logger.debug('data: %s', data)
if not data.get('the_id', ''):
return {"success": False}
result = util.db_update('bee_img', {'the_id': data.get('the_id', '')}, data, upsert=False)
if not result:
return {"success": False}
return {"success": True}
|
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from mpfmc.tests.MpfMcTestCase import MpfMcTestCase
class TestText(MpfMcTestCase):
def get_machine_path(self):
return 'tests/machine_files/text'
def get_config_file(self):
return 'test_text.yaml'
def get_widget(self, index=0):
return self.mc.targets['default'].current_slide.widgets[index].widget
def test_static_text(self):
# Very basic test
self.mc.events.post('static_text')
self.advance_time()
self.assertEqual(self.get_widget().text, 'TEST')
def test_text_from_event_param1(self):
# widget text is only from event param
self.mc.events.post('text_from_event_param1', param1='HELLO')
self.advance_time()
self.assertEqual(self.get_widget().text, 'HELLO')
# now make sure if we post the event again, the text updates
self.mc.events.post('text_from_event_param1', param1='THIS')
self.advance_time()
self.assertEqual(self.get_widget().text, 'THIS')
self.mc.events.post('text_from_event_param1', param1='IS')
self.advance_time()
self.assertEqual(self.get_widget().text, 'IS')
self.mc.events.post('text_from_event_param1', param1='A')
self.advance_time()
self.assertEqual(self.get_widget().text, 'A')
self.mc.events.post('text_from_event_param1', param1='NEW')
self.advance_time()
self.assertEqual(self.get_widget().text, 'NEW')
self.mc.events.post('text_from_event_param1', param1='EVENT')
self.advance_time()
self.assertEqual(self.get_widget().text, 'EVENT')
def test_text_from_event_param2(self):
# widget text puts static text before param text
self.mc.events.post('text_from_event_param2', param1='HELLO')
self.advance_time()
self.assertEqual(self.get_widget().text, 'HI HELLO')
def test_text_from_event_param3(self):
# widget text puts static text before and after param text
self.mc.events.post('text_from_event_param3', param1='AND')
self.advance_time()
self.assertEqual(self.get_widget().text, 'MIX AND MATCH')
def test_text_from_event_param4(self):
# static and event text with no space between
self.mc.events.post('text_from_event_param4', param1='SPACE')
self.advance_time()
self.assertEqual(self.get_widget().text, 'NOSPACE')
def test_text_from_event_param5(self):
#test event text that comes in as non-string
self.mc.events.post('text_from_event_param5', param1=1)
self.advance_time()
self.assertEqual(self.get_widget().text, 'NUMBER 1')
def test_text_from_event_param6(self):
# placeholder for event text for a param that doesn't exist
self.mc.events.post('text_from_event_param6')
self.advance_time()
self.assertEqual(self.get_widget().text, '(param1)')
def test_text_from_event_param7(self):
# test percent sign hard coded
self.mc.events.post('text_from_event_param7')
self.advance_time()
self.assertEqual(self.get_widget().text, '1)')
def test_text_from_event_param8(self):
# test parenthesis next to placeholder text
self.mc.events.post('text_from_event_param8', param1=100)
self.advance_time()
self.assertEqual(self.get_widget().text, '(100)')
def test_player_var1(self):
# staight var, no player specified
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
self.mc.player.test_var = 1
self.mc.events.post('text_with_player_var1')
self.advance_time()
self.assertEqual(self.get_widget().text, '1')
old_width = self.get_widget().width
# update var, should update widget
for x in range(99):
self.mc.player.test_var += 1
self.advance_time(.01)
self.advance_time()
self.assertEqual(self.get_widget().text, '100')
self.assertGreater(self.get_widget().width, old_width)
def test_player_var2(self):
# 'player' specified
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
self.mc.player.test_var = 1
self.mc.events.post('text_with_player_var2')
self.advance_time()
self.assertEqual(self.get_widget().text, '1')
def test_player_var3(self):
# 'player1' specified
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
self.mc.player.test_var = 1
self.mc.events.post('text_with_player_var3')
self.advance_time()
self.assertEqual(self.get_widget().text, '1')
def test_player_var4(self):
# 'player2' specified with no player 2. Should be blank.
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
self.mc.player.test_var = 1
self.mc.events.post('text_with_player_var4')
self.advance_time()
self.assertEqual(self.get_widget().text, '')
# Add player 2 & set the value. Widget should update
self.mc.add_player(2)
self.mc.player_list[1].test_var = 'Player 2 test variable'
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 2 test variable')
def test_position_rounding(self):
# staight var, no player specified
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
# set var, should update widget with even pixel width and not offset
self.mc.player.test_var = 'its even'
self.mc.events.post('text_with_player_var1')
self.advance_time()
self.get_widget()._round_anchor_styles = ('left', None)
bounding_box = self.get_widget().canvas.children[-1]
self.assertEqual(self.get_widget().text, 'its even')
self.assertIn(bounding_box.size, ((346, 118), (343.0, 118.0)))
self.assertEqual(bounding_box.pos, (200, 150))
# update var, should update widget with an odd pixel width and offset DOWN
self.mc.player.test_var = 'odd'
self.advance_time()
bounding_box = self.get_widget().canvas.children[-1]
self.assertEqual(self.get_widget().text, 'odd')
self.assertIn(bounding_box.size, ((171, 118), (169.0, 118.0)))
self.assertEqual(bounding_box.pos, (199.5, 150))
# update var, should update widget with an odd pixel width and offset UP
self.get_widget()._round_anchor_styles = ('right', None)
self.mc.player.test_var = 'also odd'
self.advance_time()
bounding_box = self.get_widget().canvas.children[-1]
self.assertEqual(self.get_widget().text, 'also odd')
self.assertIn(bounding_box.size, ((384, 118), (381.0, 118.0)))
self.assertIn(bounding_box.pos, ((200.0, 150), (200.5, 150.0)))
# update var, should update widget with an even pixel width and not offset
self.mc.player.test_var = 'no round'
self.advance_time()
bounding_box = self.get_widget().canvas.children[-1]
self.assertEqual(self.get_widget().text, 'no round')
self.assertIn(bounding_box.size, ((396, 118), (394.0, 118.0)))
self.assertEqual(bounding_box.pos, (200, 150))
def test_current_player(self):
# verifies that current player text update when current player changes
self.mc.game_start()
self.advance_time()
self.mc.add_player(1) # Player 1
self.advance_time()
self.mc.add_player(2) # Player 2
self.advance_time()
self.mc.add_player(3) # Player 3
self.advance_time()
# Test text: (test_var)
# Player 1
self.mc.player_start_turn(1)
self.advance_time()
self.assertEqual(0, self.mc.player.index)
self.assertEqual(1, self.mc.player.number)
self.mc.player.test_var = 'Player 1 test var'
self.mc.events.post('text_with_player_var1')
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 1 test var')
# Player 2
self.mc.player_start_turn(2)
self.advance_time()
self.assertEqual(1, self.mc.player.index)
self.assertEqual(2, self.mc.player.number)
self.mc.player.test_var = 'Player 2 test var'
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 2 test var')
# Player 3
self.mc.player_start_turn(3)
self.advance_time()
self.assertEqual(2, self.mc.player.index)
self.assertEqual(3, self.mc.player.number)
self.mc.player.test_var = 'Player 3 test var'
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 3 test var')
# Back to player 1, make sure it's still there
self.mc.player_start_turn(1)
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 1 test var')
# Test text: (player|test_var)
self.mc.events.post('text_with_player_var2')
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 1 test var')
self.mc.player_start_turn(2)
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 2 test var')
self.mc.player_start_turn(3)
self.advance_time()
self.assertEqual(self.get_widget().text, 'Player 3 test var')
def test_mix_player_var_and_event_param(self):
self.mc.game_start()
self.advance_time()
self.mc.add_player(1)
self.advance_time()
self.mc.player_start_turn(1)
self.advance_time()
self.assertTrue(self.mc.player)
self.mc.player.player_var = 'PLAYER VAR'
self.mc.events.post('text_with_player_var_and_event',
test_param="EVENT PARAM")
self.advance_time()
self.assertEqual(self.get_widget().text, 'PLAYER VAR EVENT PARAM')
self.mc.player.player_var = 'NEW PLAYER VAR'
self.advance_time()
self.assertEqual(self.get_widget().text, 'NEW PLAYER VAR EVENT PARAM')
self.mc.events.post('text_with_player_var_and_event',
test_param="NEW EVENT PARAM")
self.advance_time()
self.assertEqual(self.get_widget().text,
'NEW PLAYER VAR NEW EVENT PARAM')
def test_number_grouping(self):
self.mc.events.post('number_grouping')
self.advance_time()
# should be 00 even though text is 0
self.assertEqual(self.get_widget().text, '00')
self.advance_time()
self.get_widget().update_text('2000000')
self.assertEqual(self.get_widget().text, '2,000,000')
self.advance_time()
def test_text_casing(self):
self.mc.events.post('text_nocase')
self.advance_time()
self.assertEqual(self.get_widget().text, 'sAmPlE tExT caSiNg')
self.mc.events.post('text_lower')
self.advance_time()
self.assertEqual(self.get_widget().text, 'sample text casing')
self.mc.events.post('text_upper')
self.advance_time()
self.assertEqual(self.get_widget().text, 'SAMPLE TEXT CASING')
self.mc.events.post('text_title')
self.advance_time()
self.assertEqual(self.get_widget().text, 'Sample Text Casing')
self.mc.events.post('text_capitalize')
self.advance_time()
self.assertEqual(self.get_widget().text, 'Sample text casing')
def test_text_string1(self):
# simple text string in machine config
self.mc.events.post('text_string1')
self.advance_time()
self.assertEqual(self.get_widget().text, 'HELLO')
def test_text_string2(self):
# two text strings in machine config
self.mc.events.post('text_string2')
self.advance_time()
self.assertEqual(self.get_widget().text, 'HELLO PLAYER')
def test_text_string3(self):
# text string not found
self.mc.events.post('text_string3')
self.advance_time()
self.assertEqual(self.get_widget().text, '$money')
def test_text_string4(self):
# text string found with extra dollar sign in text
self.mc.events.post('text_string4')
self.advance_time()
self.assertEqual(self.get_widget().text, '$100')
def test_custom_fonts(self):
self.mc.events.post('mpfmc_font')
self.advance_time()
self.assertEqual('pixelmix', self.get_widget().font_name)
self.mc.events.post('machine_font')
self.advance_time()
self.assertEqual('big_noodle_titling', self.get_widget().font_name)
def test_baseline(self):
self.mc.events.post('baseline')
self.advance_time()
# Baseline anchored widgets should all have the same local coordinates
self.assertEqual(self.get_widget(0).pos[1], 100)
self.assertEqual(self.get_widget(1).pos[1], 100)
self.assertEqual(self.get_widget(2).pos[1], 100)
self.assertEqual(self.get_widget(3).pos[1], 100)
# Now convert the widget coordinates to parent coordinates for comparison
widget0 = self.get_widget(0).parent.to_parent(0, self.get_widget(0).pos[1])
widget1 = self.get_widget(1).parent.to_parent(0, self.get_widget(1).pos[1])
widget2 = self.get_widget(2).parent.to_parent(0, self.get_widget(2).pos[1])
widget3 = self.get_widget(3).parent.to_parent(0, self.get_widget(3).pos[1])
# Baseline anchored widgets should be 4px lower
self.assertEqual(widget0[1], 100)
self.assertEqual(widget1[1], 96)
self.assertEqual(widget2[1], 100)
self.assertEqual(widget3[1], 96)
def test_line_break(self):
"""Tests line break in text (multiple lines)"""
self.mc.events.post('text_line_break')
self.advance_time()
self.assertGreater(self.get_widget().height, 40)
def test_no_multiline(self):
"""Tests poorly formatted YAML line break in text"""
self.mc.events.post('text_bad_line_break')
self.advance_time()
self.assertLess(self.get_widget().height, 30)
|
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import sys
import datetime
from time import strptime, strftime
def _getWeekDetails(_weekNo, _Year, _weekStart):
rslt = []
janOne = strptime('%s-01-01' % _Year, '%Y-%m-%d')
dayOfFirstWeek = ((7-int((strftime("%u",janOne)))+ int(_weekStart)) % 7)
if dayOfFirstWeek == 0:
dayOfFirstWeek = 7
dateOfFirstWeek = strptime('%s-01-%s' % (_Year, dayOfFirstWeek), '%Y-%m-%d')
dayOne = datetime.datetime( dateOfFirstWeek.tm_year, dateOfFirstWeek.tm_mon, dateOfFirstWeek.tm_mday )
daysToGo = 7*(int(_weekNo)-1)
lastDay = daysToGo+6
dayX = dayOne + datetime.timedelta(days = daysToGo)
dayY = dayOne + datetime.timedelta(days = lastDay)
resultDateX = strptime('%s-%s-%s' % (dayX.year, dayX.month, dayX.day), '%Y-%m-%d')
resultDateY = strptime('%s-%s-%s' % (dayY.year, dayY.month, dayY.day), '%Y-%m-%d')
rslt.append(resultDateX)
rslt.append(resultDateY)
return rslt
if __name__ == '__main__':
passedArgs = sys.argv
if not (passedArgs[1] == None or passedArgs[2] == None):
#initiate start of week to Monday (sunday =1, monday =2, so on)
startOfWeek = 2
try :
startOfWeek = passedArgs[3]
except:
startOfWeek = 2
WeekData = _getWeekDetails(passedArgs[1], passedArgs[2], startOfWeek)
print "Monday of Week %s: %s \n" % (passedArgs[1], strftime("%Y-%m-%d", WeekData[0]))
print "Sunday of Week %s: %s \n" % (passedArgs[1], strftime("%Y-%m-%d", WeekData[1]))
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import oslo_i18n
_translators = oslo_i18n.TranslatorFactory(domain='networking_nec')
# The primary translation function using the well-known name "_"
_ = _translators.primary
# Translators for log levels.
#
# The abbreviated names are meant to reflect the usual use of a short
# name like '_'. The "L" is for "log" and the other letter comes from
# the level.
_LI = _translators.log_info
_LW = _translators.log_warning
_LE = _translators.log_error
_LC = _translators.log_critical
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import boto3
from botocore.client import ClientError
import pytest
import sure # noqa # pylint: disable=unused-import
from moto import mock_s3
@mock_s3
def test_create_bucket_with_ownership():
bucket = "bucket-with-owner"
ownership = "BucketOwnerPreferred"
client = boto3.client("s3")
client.create_bucket(Bucket=bucket, ObjectOwnership=ownership)
response = client.get_bucket_ownership_controls(Bucket=bucket)
response["OwnershipControls"]["Rules"][0]["ObjectOwnership"].should.equal(ownership)
@mock_s3
def test_put_ownership_to_bucket():
bucket = "bucket-updated-with-owner"
ownership = "ObjectWriter"
client = boto3.client("s3")
client.create_bucket(Bucket=bucket)
client.put_bucket_ownership_controls(
Bucket=bucket, OwnershipControls={"Rules": [{"ObjectOwnership": ownership}]}
)
response = client.get_bucket_ownership_controls(Bucket=bucket)
response["OwnershipControls"]["Rules"][0]["ObjectOwnership"].should.equal(ownership)
@mock_s3
def test_delete_ownership_from_bucket():
bucket = "bucket-with-owner-removed"
ownership = "BucketOwnerEnforced"
client = boto3.client("s3")
client.create_bucket(Bucket=bucket, ObjectOwnership=ownership)
client.delete_bucket_ownership_controls(Bucket=bucket)
with pytest.raises(ClientError) as ex:
client.get_bucket_ownership_controls(Bucket=bucket)
ex.value.response["Error"]["Code"].should.equal("OwnershipControlsNotFoundError")
ex.value.response["Error"]["Message"].should.equal(
"The bucket ownership controls were not found"
)
|
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import sublime
import sublime_plugin
import os
import json
from datetime import datetime
from .baseutil import SysIo
from .setting import SfBasicConfig
from .uiutil import SublConsole
##########################################################################################
#Project Config
##########################################################################################
class ProjectConfigCommand(sublime_plugin.TextCommand):
def run(self, edit):
self.sf_basic_config = SfBasicConfig()
self.sublconsole = SublConsole(self.sf_basic_config)
self.sublconsole.showlog('open config: ' + self.sf_basic_config.get_project_config_path())
self.sublconsole.open_file(self.sf_basic_config.get_project_config_path())
class NewXyProjectCommand(sublime_plugin.WindowCommand):
def run(self, retrieve_type=None):
self.sf_basic_config = SfBasicConfig()
self.sublconsole = SublConsole(self.sf_basic_config)
home = self.sf_basic_config.get_user_home_dir()
tstr = datetime.now().strftime('YourProjectName_%Y%m%d_%H%M%S')
self.save_dir = os.path.join(home, tstr)
self.sublconsole.debug(self.window.extract_variables())
self.window.show_input_panel("Please Input your save path: " ,
self.save_dir, self.on_input, None, None)
def on_input(self, args):
self.sublconsole.debug(args)
if not os.path.exists(args):
os.makedirs(args)
project_name = os.path.basename(args)
sublime_settings_path = os.path.join(args, project_name + ".sublime-project")
if not os.path.exists(sublime_settings_path):
self._mk_project_file(args, sublime_settings_path)
self.sublconsole.open_project(sublime_settings_path)
self._open_config(args)
def _mk_project_file(self, project_path, file_path):
sysio = SysIo()
self.sublconsole.debug("make project file")
sublime_settings = {"folders":[{
"file_exclude_patterns": [
"*.*-meta.xml"
],
"folder_exclude_patterns": [
self.sf_basic_config.get_xyfolder() + "/.tmp",
self.sf_basic_config.get_xyfolder() + "/MetadataBackupTools/codepkg"
],
"path": project_path
}]}
sysio.save_file(file_path, json.dumps(sublime_settings, indent=4))
def _open_config(self, project_dir):
self.sf_basic_config = SfBasicConfig(project_dir=project_dir)
self.sublconsole.showlog('open config: ' + self.sf_basic_config.get_project_config_path())
# # TODO
# self.sublconsole.open_file(self.sf_basic_config.get_project_config_path())
# sublime.active_window().open_file(os.path.join(project_dir, ".xyconfig", "xyconfig.json"))
# sublime.active_window().open_file(self.sf_basic_config.get_project_config_path())
#handles compiling to server on save
class SaveListener(sublime_plugin.EventListener):
def on_post_save_async(self, view):
sf_basic_config = SfBasicConfig()
settings = sf_basic_config.get_setting()
username = settings["username"]
if username != 'input your username' and username != '':
if sf_basic_config.get_auto_save_to_server():
sf_basic_config.window.run_command("update_metadata")
class ProjectConfigWizardCommand(sublime_plugin.WindowCommand):
def run(self):
self.sf_basic_config = SfBasicConfig()
self.sublconsole = SublConsole(self.sf_basic_config)
self.sublconsole.showlog('start to config project')
self._init_input_conf()
self.on_input(None)
def on_input(self, args):
print(args)
if self.input_index > 0:
pre_conf = self.input_conf[self.input_index-1]
ui_type = pre_conf["type"]
if ui_type == "input":
pre_conf["value"] = args
elif ui_type == "select":
if 0 <= args and args < len(pre_conf["option-v"]):
pre_conf["value"] = pre_conf["option-v"][args]
if self.input_index < len(self.input_conf):
current_conf = self.input_conf[self.input_index]
if current_conf["type"] == "input":
caption = "Please Input your %s: " % current_conf["key"]
self.window.show_input_panel(caption, current_conf["value"], self.on_input, None, None)
elif current_conf["type"] == "select":
show_opts = current_conf["option"]
self.window.show_quick_panel(show_opts, self.on_input, sublime.MONOSPACE_FONT)
self.input_index = self.input_index + 1
else:
self._save_conf()
def _init_input_conf(self):
settings = self.sf_basic_config.get_setting()
self.input_index = 0
self.input_conf = (
{"key" : "is_sandbox",
"value" : settings["is_sandbox"],
"type" : "select",
"option" : [ "Is Sandbox ? True", "Is Sandbox ? False"],
"option-v" : [True, False]
},
{"key" : "username",
"value" : settings["username"],
"type" : "input" },
{"key" : "password",
"value" : settings["password"],
"type" : "input" },
{"key" : "security_token",
"value" : settings["security_token"],
"type" : "input" },
{"key" : "api_version",
"value" : settings["api_version"],
"type" : "select",
"option" : ["45.0", "44.0", "43.0", "42.0", "41.0", "40.0", "39.0", "38.0", "37.0", "36.0"],
"option-v" : [45.0, 44.0, 43.0, 42.0, 41.0, 40.0, 39.0, 38.0, 37.0, 36.0]
},
{"key" : "auto_save_to_server",
"value" : self.sf_basic_config.get_auto_save_to_server(),
"type" : "select",
"option" : [ "Auto Save to Server ? No.", "Auto Save to Server ? Yes."],
"option-v" : [False, True]
},
{"key" : "default_browser",
"value" : settings["default_browser"],
"type" : "select",
"option" : self.sf_basic_config.get_browser_setting2(),
"option-v" : [item[1] for item in self.sf_basic_config.get_browser_setting2()]
}
)
def _save_conf(self):
project_config = {}
for a_conf in self.input_conf:
project_config[a_conf["key"]] = a_conf["value"]
self.sublconsole.debug(project_config)
self.sf_basic_config.update_project_config(project_config)
self.sublconsole.showlog('config project done!')
class ProxyConfigWizardCommand(sublime_plugin.WindowCommand):
def run(self):
self.sf_basic_config = SfBasicConfig()
self.sublconsole = SublConsole(self.sf_basic_config)
self.sublconsole.showlog('start to config proxy')
self._init_input_conf()
self.on_input(None)
def on_input(self, args):
print(args)
if self.input_index > 0:
pre_conf = self.input_conf[self.input_index-1]
ui_type = pre_conf["type"]
if ui_type == "input":
pre_conf["value"] = args
elif ui_type == "select":
if 0 <= args and args < len(pre_conf["option-v"]):
pre_conf["value"] = pre_conf["option-v"][args]
if self.input_index < len(self.input_conf):
current_conf = self.input_conf[self.input_index]
if current_conf["type"] == "input":
caption = "Please Input your %s: " % current_conf["key"]
self.window.show_input_panel(caption, current_conf["value"], self.on_input, None, None)
elif current_conf["type"] == "select":
show_opts = current_conf["option"]
self.window.show_quick_panel(show_opts, self.on_input, sublime.MONOSPACE_FONT)
self.input_index = self.input_index + 1
else:
self._save_conf()
def _init_input_conf(self):
proxy_config = self.sf_basic_config.get_proxy()
self.input_index = 0
self.input_conf = (
{"key" : "use_proxy",
"value" : proxy_config["use_proxy"],
"type" : "select",
"option" : [ "Use Proxy.", "Don't use Proxy."],
"option-v" : [True, False]
},
{"key" : "proxyhost",
"value" : proxy_config["proxyhost"],
"type" : "input" },
{"key" : "proxyport",
"value" : proxy_config["proxyport"],
"type" : "input" },
{"key" : "proxypassword",
"value" : proxy_config["proxypassword"],
"type" : "input" },
{"key" : "proxyuser",
"value" : proxy_config["proxyuser"],
"type" : "input"
}
)
def _save_conf(self):
proxy_config = {}
for a_conf in self.input_conf:
proxy_config[a_conf["key"]] = a_conf["value"]
project_config = {}
project_config["proxy"] = proxy_config
self.sf_basic_config.update_project_config(project_config)
self.sublconsole.showlog('config proxy done!')
|
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"size": "9302",
"binary": false,
"copies": "1",
"ref": "refs/heads/master",
"path": "main_project.py",
"mode": "33188",
"license": "apache-2.0",
"language": [
{
"name": "Apex",
"bytes": "9303"
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{
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{
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],
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|
from unittest import TestCase
from warnings import catch_warnings, simplefilter as simple_filter
from iota import Address, AddressChecksum, AsciiTrytesCodec, Hash, Tag, \
TryteString, TrytesDecodeError
class TryteStringTestCase(TestCase):
def test_ascii_bytes(self):
"""
Getting an ASCII representation of a TryteString, as bytes.
"""
self.assertEqual(
bytes(TryteString(b'HELLOIOTA')),
b'HELLOIOTA',
)
def test_ascii_str(self):
"""
Getting an ASCII representation of a TryteString, as a unicode
string.
"""
self.assertEqual(
str(TryteString(b'HELLOIOTA')),
'HELLOIOTA',
)
def test_comparison(self):
"""
Comparing TryteStrings for equality.
"""
trytes1 = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
trytes2 = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
trytes3 = TryteString(
b'CCPCBDVC9DTCEAKDXC9D9DEARCWCPCBDVCTCEAHDWCTCEAKDCDFD9DSCSA',
)
self.assertTrue(trytes1 == trytes2)
self.assertFalse(trytes1 != trytes2)
self.assertFalse(trytes1 == trytes3)
self.assertTrue(trytes1 != trytes3)
self.assertTrue(trytes1 is trytes1)
self.assertFalse(trytes1 is not trytes1)
self.assertFalse(trytes1 is trytes2)
self.assertTrue(trytes1 is not trytes2)
self.assertFalse(trytes1 is trytes3)
self.assertTrue(trytes1 is not trytes3)
# Comparing against strings is also allowed.
self.assertTrue(trytes1 == b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertFalse(trytes1 != b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertFalse(trytes3 == b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertTrue(trytes3 != b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertTrue(trytes1 == 'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertFalse(trytes1 != 'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertFalse(trytes3 == 'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertTrue(trytes3 != 'RBTC9D9DCDQAEASBYBCCKBFA')
# Ditto for bytearrays.
self.assertTrue(trytes1 == bytearray(b'RBTC9D9DCDQAEASBYBCCKBFA'))
self.assertFalse(trytes1 != bytearray(b'RBTC9D9DCDQAEASBYBCCKBFA'))
self.assertFalse(trytes3 == bytearray(b'RBTC9D9DCDQAEASBYBCCKBFA'))
self.assertTrue(trytes3 != bytearray(b'RBTC9D9DCDQAEASBYBCCKBFA'))
def test_comparison_error_wrong_type(self):
"""
Attempting to compare a TryteString with something that is not a
TrytesCompatible.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
with self.assertRaises(TypeError):
# TryteString is not a numeric type, so comparing against a
# numeric value doesn't make any sense.
trytes == 42
# Identity comparison still works though.
self.assertFalse(trytes is 'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertTrue(trytes is not 'RBTC9D9DCDQAEASBYBCCKBFA')
def test_bool_cast(self):
"""
Casting a TryteString as a boolean.
"""
# Empty TryteString evaluates to False.
self.assertIs(bool(TryteString(b'')), False)
# TryteString that is nothing but padding also evaluates to False.
self.assertIs(bool(TryteString(b'9')), False)
self.assertIs(bool(TryteString(b'', pad=1024)), False)
# A single non-padding tryte evaluates to True.
self.assertIs(bool(TryteString(b'A')), True)
self.assertIs(bool(TryteString(b'9'*1024 + b'Z')), True)
def test_container(self):
"""
Checking whether a TryteString contains a sequence.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertTrue(trytes in trytes)
self.assertTrue(TryteString(b'RBTC9D') in trytes)
self.assertTrue(TryteString(b'DQAEAS') in trytes)
self.assertTrue(TryteString(b'CCKBFA') in trytes)
self.assertFalse(TryteString(b'9RBTC9D9DCDQAEASBYBCCKBFA') in trytes)
self.assertFalse(TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA9') in trytes)
self.assertFalse(TryteString(b'RBTC9D9DCDQA9EASBYBCCKBFA') in trytes)
self.assertFalse(TryteString(b'X') in trytes)
# Any TrytesCompatible value will work here.
self.assertTrue(b'EASBY' in trytes)
self.assertTrue('EASBY' in trytes)
self.assertFalse(b'QQQ' in trytes)
self.assertFalse('QQQ' in trytes)
self.assertTrue(bytearray(b'CCKBF') in trytes)
self.assertFalse(bytearray(b'ZZZ') in trytes)
def test_container_error_wrong_type(self):
"""
Checking whether a TryteString contains a sequence with an
incompatible type.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
with self.assertRaises(TypeError):
# TryteString is not a numeric type, so this makes about as much
# sense as ``16 in b'Hello, world!'``.
16 in trytes
with self.assertRaises(TypeError):
# This is too ambiguous. Is this a list of trit values that can
# appar anywhere in the tryte sequence, or does it have to match
# a tryte exactly?
[0, 1, 1, 0, -1, 0] in trytes
with self.assertRaises(TypeError):
# This makes more sense than the previous example, but for
# consistency, we will not allow checking for trytes inside
# of a TryteString.
[[0, 0, 0], [1, 1, 0]] in trytes
with self.assertRaises(TypeError):
# Did I miss something? When did we get to DisneyLand?
None in trytes
def test_concatenation(self):
"""
Concatenating TryteStrings with TrytesCompatibles.
"""
trytes1 = TryteString(b'RBTC9D9DCDQA')
trytes2 = TryteString(b'EASBYBCCKBFA')
concat = trytes1 + trytes2
self.assertIsInstance(concat, TryteString)
self.assertEqual(bytes(concat), b'RBTC9D9DCDQAEASBYBCCKBFA')
# You can also concatenate a TryteString with any TrytesCompatible.
self.assertEqual(
bytes(trytes1 + b'EASBYBCCKBFA'),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
self.assertEqual(
bytes(trytes1 + 'EASBYBCCKBFA'),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
self.assertEqual(
bytes(trytes1 + bytearray(b'EASBYBCCKBFA')),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
def test_concatenation_error_wrong_type(self):
"""
Attempting to concatenate a TryteString with something that is not
a TrytesCompatible.
"""
trytes = TryteString(b'RBTC9D9DCDQA')
with self.assertRaises(TypeError):
# TryteString is not a numeric type, so adding a numeric value
# doesn't make any sense.
trytes += 42
with self.assertRaises(TypeError):
# What is this I don't even..
trytes += None
def test_slice_accessor(self):
"""
Taking slices of a TryteString.
"""
ts = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertEqual(ts[4], TryteString(b'9'))
self.assertEqual(ts[:4], TryteString(b'RBTC'))
self.assertEqual(ts[:-4], TryteString(b'RBTC9D9DCDQAEASBYBCC'))
self.assertEqual(ts[4:], TryteString(b'9D9DCDQAEASBYBCCKBFA'))
self.assertEqual(ts[-4:], TryteString(b'KBFA'))
self.assertEqual(ts[4:-4:4], TryteString(b'9CEY'))
with self.assertRaises(IndexError):
ts[42]
# To match the behavior of built-in types, TryteString will allow
# you to access a slice that occurs after the end of the sequence.
# There's nothing in it, of course, but you can access it.
self.assertEqual(ts[42:43], TryteString(b''))
def test_slice_mutator(self):
"""
Modifying slices of a TryteString.
"""
ts = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
ts[4] = TryteString(b'A')
self.assertEqual(ts, TryteString(b'RBTCAD9DCDQAEASBYBCCKBFA'))
ts[:4] = TryteString(b'BCDE')
self.assertEqual(ts, TryteString(b'BCDEAD9DCDQAEASBYBCCKBFA'))
# The lengths do not have to be the same...
ts[:-4] = TryteString(b'EFGHIJ')
self.assertEqual(ts, TryteString(b'EFGHIJKBFA'))
# ... unless you are trying to set a single tryte.
with self.assertRaises(ValueError):
ts[4] = TryteString(b'99')
# Any TrytesCompatible value will work.
ts[3:-3] = b'FOOBAR'
self.assertEqual(ts, TryteString(b'EFGFOOBARBFA'))
# I have no idea why you would ever need to do this, but I'm not
# going to judge, either.
ts[2:-2:2] = b'IOTA'
self.assertEqual(ts, TryteString(b'EFIFOOTAABFA'))
with self.assertRaises(IndexError):
ts[42] = b'9'
# To match the behavior of built-in types, TryteString will allow
# you to modify a slice that occurs after the end of the sequence.
ts[42:43] = TryteString(b'9')
self.assertEqual(ts, TryteString(b'EFIFOOTAABFA9'))
def test_iter_chunks(self):
"""
Iterating over a TryteString in constant-size chunks.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertListEqual(
list(trytes.iter_chunks(9)),
[
TryteString(b'RBTC9D9DC'),
TryteString(b'DQAEASBYB'),
# The final chunk is padded as necessary.
TryteString(b'CCKBFA999'),
],
)
def test_init_from_unicode_string(self):
"""
Initializing a TryteString from a unicode string.
"""
trytes1 = TryteString('RBTC9D9DCDQAEASBYBCCKBFA')
trytes2 = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertEqual(trytes1, trytes2)
def test_init_from_unicode_string_error_not_ascii(self):
"""
Attempting to initialize a TryteString from a unicode string that
contains non-ASCII characters.
"""
with self.assertRaises(UnicodeEncodeError):
TryteString('¡Hola, IOTA!')
def test_init_from_tryte_string(self):
"""
Initializing a TryteString from another TryteString.
"""
trytes1 = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
trytes2 = TryteString(trytes1)
self.assertFalse(trytes1 is trytes2)
self.assertTrue(trytes1 == trytes2)
def test_init_from_tryte_string_error_wrong_subclass(self):
"""
Initializing a TryteString from a conflicting subclass instance.
This restriction does not apply when initializing a TryteString
instance; only subclasses.
"""
tag = Tag(b'RBTC9D9DCDQAEASBYBCCKBFA')
with self.assertRaises(TypeError):
# When initializing a subclassed TryteString, you have to use the
# same type (or a generic TryteString).
Address(tag)
# If you are 110% confident that you know what you are doing, you
# can force the conversion by casting as a generic TryteString
# first.
addy = Address(TryteString(tag))
self.assertEqual(
bytes(addy),
b'RBTC9D9DCDQAEASBYBCCKBFA9999999999999999'
b'99999999999999999999999999999999999999999',
)
def test_init_padding(self):
"""
Apply padding to ensure a TryteString has a minimum length.
"""
trytes = TryteString(
trytes =
b'ZJVYUGTDRPDYFGFXMKOTV9ZWSGFK9CFPXTITQL'
b'QNLPPG9YNAARMKNKYQO9GSCSBIOTGMLJUFLZWSY',
pad = 81,
)
self.assertEqual(
bytes(trytes),
# Note the additional Tryte([-1, -1, -1]) values appended to the
# end of the sequence (represented in ASCII as '9').
b'ZJVYUGTDRPDYFGFXMKOTV9ZWSGFK9CFPXTITQLQN'
b'LPPG9YNAARMKNKYQO9GSCSBIOTGMLJUFLZWSY9999'
)
def test_init_from_tryte_string_with_padding(self):
"""
Initializing a TryteString from another TryteString, and padding
the new one to a specific length.
"""
trytes1 = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
trytes2 = TryteString(trytes1, pad=27)
self.assertFalse(trytes1 is trytes2)
self.assertFalse(trytes1 == trytes2)
self.assertEqual(bytes(trytes2), b'RBTC9D9DCDQAEASBYBCCKBFA999')
def test_init_error_invalid_characters(self):
"""
Attempting to reset a TryteString with a value that contains
invalid characters.
"""
with self.assertRaises(ValueError):
TryteString(b'not valid')
def test_init_error_int(self):
"""
Attempting to reset a TryteString from an int.
"""
with self.assertRaises(TypeError):
TryteString(42)
def test_length(self):
"""
Just like byte strings, TryteStrings have length.
"""
self.assertEqual(len(TryteString(b'RBTC')), 4)
self.assertEqual(len(TryteString(b'RBTC', pad=81)), 81)
def test_iterator(self):
"""
Just like byte strings, you can iterate over TryteStrings.
"""
self.assertListEqual(
list(TryteString(b'RBTC')),
[b'R', b'B', b'T', b'C'],
)
self.assertListEqual(
list(TryteString(b'RBTC', pad=6)),
[b'R', b'B', b'T', b'C', b'9', b'9'],
)
def test_encode(self):
"""
Converting a sequence of trytes into a sequence of bytes.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
self.assertEqual(trytes.encode(), b'Hello, IOTA!')
def test_encode_partial_sequence_errors_strict(self):
"""
Attempting to convert an odd number of trytes into bytes using the
`encode` method with errors='strict'.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA9')
with self.assertRaises(TrytesDecodeError):
trytes.encode(errors='strict')
def test_encode_partial_sequence_errors_ignore(self):
"""
Attempting to convert an odd number of trytes into bytes using the
`encode` method with errors='ignore'.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA9')
self.assertEqual(
trytes.encode(errors='ignore'),
# The extra tryte is ignored.
b'Hello, IOTA!',
)
def test_encode_partial_sequence_errors_replace(self):
"""
Attempting to convert an odd number of trytes into bytes using the
`encode` method with errors='replace'.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA9')
self.assertEqual(
trytes.encode(errors='replace'),
# The extra tryte is replaced with '?'.
b'Hello, IOTA!?',
)
def test_encode_non_ascii_errors_strict(self):
"""
Converting a sequence of trytes into bytes using the `encode`
method yields non-ASCII characters, and errors='strict'.
"""
trytes = TryteString(b'ZJVYUGTDRPDYFGFXMK')
with self.assertRaises(TrytesDecodeError):
trytes.encode(errors='strict')
def test_encode_non_ascii_errors_ignore(self):
"""
Converting a sequence of trytes into bytes using the `encode`
method yields non-ASCII characters, and errors='ignore'.
"""
trytes = TryteString(b'ZJVYUGTDRPDYFGFXMK')
self.assertEqual(
trytes.encode(errors='ignore'),
b'\xd2\x80\xc3',
)
def test_encode_non_ascii_errors_replace(self):
"""
Converting a sequence of trytes into bytes using the `encode`
method yields non-ASCII characters, and errors='replace'.
"""
trytes = TryteString(b'ZJVYUGTDRPDYFGFXMK')
self.assertEqual(
trytes.encode(errors='replace'),
b'??\xd2\x80??\xc3??',
)
def test_as_bytes_deprecated(self):
"""
:py:meth:`TryteString.as_bytes` is deprecated in favor of
:py:meth:`TryteString.encode`.
"""
trytes = TryteString(b'RBTC9D9DCDQAEASBYBCCKBFA')
with catch_warnings(record=True) as caught_warnings:
simple_filter('always', category=DeprecationWarning)
encoded = trytes.as_bytes()
self.assertEqual(
[w.category for w in caught_warnings],
[DeprecationWarning],
)
self.assertEqual(encoded, b'Hello, IOTA!')
def test_decode(self):
"""
Converting a sequence of trytes into a Unicode string.
"""
trytes = TryteString(b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD')
self.assertEqual(trytes.decode(), '你好，世界！')
def test_decode_strip(self):
"""
Strip trailing padding from a TryteString before converting.
"""
# Note odd number of trytes!
trytes = TryteString(b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD9999999999999')
self.assertEqual(trytes.decode(), '你好，世界！')
def test_decode_no_strip(self):
"""
Prevent stripping trailing padding when converting to string.
"""
trytes = TryteString(b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD999999999999')
self.assertEqual(
trytes.decode(strip_padding=False),
'你好，世界！\x00\x00\x00\x00\x00\x00',
)
def test_decode_not_utf8_errors_strict(self):
"""
The tryte sequence does not represent a valid UTF-8 sequence, and
errors='strict'.
"""
# Chop off a couple of trytes to break up a multi-byte sequence.
trytes = TryteString.from_unicode('你好，世界！')[:-2]
# Note the exception type. The trytes were decoded to bytes
# successfully; the exception occurred while trying to decode the
# bytes into Unicode code points.
with self.assertRaises(UnicodeDecodeError):
trytes.decode('strict')
def test_decode_not_utf8_errors_ignore(self):
"""
The tryte sequence does not represent a valid UTF-8 sequence, and
errors='ignore'.
"""
# Chop off a couple of trytes to break up a multi-byte sequence.
trytes = TryteString.from_unicode('你好，世界！')[:-2]
self.assertEqual(
trytes.decode('ignore'),
'你好，世界',
)
def test_decode_not_utf8_errors_replace(self):
"""
The tryte sequence does not represent a valid UTF-8 sequence, and
errors='replace'.
"""
# Chop off a couple of trytes to break up a multi-byte sequence.
trytes = TryteString.from_unicode('你好，世界！')[:-2]
self.assertEqual(
trytes.decode('replace'),
# Note that the replacement character is the Unicode replacement
# character, not '?'.
'你好，世界�',
)
def test_as_string_deprecated(self):
"""
:py:meth:`TryteString.as_string` is deprecated in favor of
:py:meth:`TryteString.decode`.
"""
trytes = TryteString(b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD')
with catch_warnings(record=True) as caught_warnings:
simple_filter('always', category=DeprecationWarning)
decoded = trytes.as_string()
self.assertEqual(
[w.category for w in caught_warnings],
[DeprecationWarning],
)
self.assertEqual(decoded, '你好，世界！')
def test_as_trytes_single_tryte(self):
"""
Converting a single-tryte TryteString into a sequence of tryte
values.
"""
# Fortunately, there's only 27 possible tryte configurations, so
# it's not too painful to test them all.
self.assertDictEqual(
{
chr(c): TryteString(chr(c).encode('ascii')).as_trytes()
for c in AsciiTrytesCodec.alphabet.values()
},
{
'9': [[ 0, 0, 0]], # 0
'A': [[ 1, 0, 0]], # 1
'B': [[-1, 1, 0]], # 2
'C': [[ 0, 1, 0]], # 3
'D': [[ 1, 1, 0]], # 4
'E': [[-1, -1, 1]], # 5
'F': [[ 0, -1, 1]], # 6
'G': [[ 1, -1, 1]], # 7
'H': [[-1, 0, 1]], # 8
'I': [[ 0, 0, 1]], # 9
'J': [[ 1, 0, 1]], # 10
'K': [[-1, 1, 1]], # 11
'L': [[ 0, 1, 1]], # 12
'M': [[ 1, 1, 1]], # 13
'N': [[-1, -1, -1]], # -13 (overflow)
'O': [[ 0, -1, -1]], # -12
'P': [[ 1, -1, -1]], # -11
'Q': [[-1, 0, -1]], # -10
'R': [[ 0, 0, -1]], # -9
'S': [[ 1, 0, -1]], # -8
'T': [[-1, 1, -1]], # -7
'U': [[ 0, 1, -1]], # -6
'V': [[ 1, 1, -1]], # -5
'W': [[-1, -1, 0]], # -4
'X': [[ 0, -1, 0]], # -3
'Y': [[ 1, -1, 0]], # -2
'Z': [[-1, 0, 0]], # -1
},
)
def test_as_trytes_mulitple_trytes(self):
"""
Converting a multiple-tryte TryteString into a sequence of
tryte values.
"""
self.assertListEqual(
TryteString(b'ZJVYUGTDRPDYFGFXMK').as_trytes(),
[
[-1, 0, 0],
[ 1, 0, 1],
[ 1, 1, -1],
[ 1, -1, 0],
[ 0, 1, -1],
[ 1, -1, 1],
[-1, 1, -1],
[ 1, 1, 0],
[ 0, 0, -1],
[ 1, -1, -1],
[ 1, 1, 0],
[ 1, -1, 0],
[ 0, -1, 1],
[ 1, -1, 1],
[ 0, -1, 1],
[ 0, -1, 0],
[ 1, 1, 1],
[-1, 1, 1],
],
)
def test_as_trits_single_tryte(self):
"""
Converting a single-tryte TryteString into a sequence of trit
values.
"""
# Fortunately, there's only 27 possible tryte configurations, so
# it's not too painful to test them all.
self.assertDictEqual(
{
chr(c): TryteString(chr(c).encode('ascii')).as_trits()
for c in AsciiTrytesCodec.alphabet.values()
},
{
'9': [ 0, 0, 0], # 0
'A': [ 1, 0, 0], # 1
'B': [-1, 1, 0], # 2
'C': [ 0, 1, 0], # 3
'D': [ 1, 1, 0], # 4
'E': [-1, -1, 1], # 5
'F': [ 0, -1, 1], # 6
'G': [ 1, -1, 1], # 7
'H': [-1, 0, 1], # 8
'I': [ 0, 0, 1], # 9
'J': [ 1, 0, 1], # 10
'K': [-1, 1, 1], # 11
'L': [ 0, 1, 1], # 12
'M': [ 1, 1, 1], # 13
'N': [-1, -1, -1], # -13 (overflow)
'O': [ 0, -1, -1], # -12
'P': [ 1, -1, -1], # -11
'Q': [-1, 0, -1], # -10
'R': [ 0, 0, -1], # -9
'S': [ 1, 0, -1], # -8
'T': [-1, 1, -1], # -7
'U': [ 0, 1, -1], # -6
'V': [ 1, 1, -1], # -5
'W': [-1, -1, 0], # -4
'X': [ 0, -1, 0], # -3
'Y': [ 1, -1, 0], # -2
'Z': [-1, 0, 0], # -1
},
)
def test_as_trits_multiple_trytes(self):
"""
Converting a multiple-tryte TryteString into a sequence of trit
values.
"""
self.assertListEqual(
TryteString(b'ZJVYUGTDRPDYFGFXMK').as_trits(),
[
-1, 0, 0,
1, 0, 1,
1, 1, -1,
1, -1, 0,
0, 1, -1,
1, -1, 1,
-1, 1, -1,
1, 1, 0,
0, 0, -1,
1, -1, -1,
1, 1, 0,
1, -1, 0,
0, -1, 1,
1, -1, 1,
0, -1, 1,
0, -1, 0,
1, 1, 1,
-1, 1, 1,
],
)
def test_random(self):
"""
Generating a random sequence of trytes.
"""
trytes = TryteString.random(Hash.LEN)
# It is (hopefully!) impossible to predict what the actual trytes
# will be, but at least we can verify that the correct number were
# generated.
self.assertEqual(len(trytes), Hash.LEN)
def test_random_no_length(self):
"""
Trying to create a random TryteString without specifying length.
"""
with self.assertRaises(TypeError):
trytes = TryteString.random()
def test_random_wrong_length(self):
"""
Generating random Trytestring with negative length.
"""
with self.assertRaises(TypeError):
trytes = TryteString.random(length=-5)
def test_from_bytes(self):
"""
Converting a sequence of bytes into a TryteString.
"""
self.assertEqual(
bytes(TryteString.from_bytes(b'Hello, IOTA!')),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
def test_from_unicode(self):
"""
Converting a Unicode string into a TryteString.
"""
self.assertEqual(
bytes(TryteString.from_unicode('你好，世界！')),
b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD',
)
def test_from_string_deprecated(self):
"""
:py:meth:`TryteString.from_string` is deprecated in favor of
:py:meth:`TryteString.from_unicode`.
https://github.com/iotaledger/iota.py/issues/90
"""
with catch_warnings(record=True) as caught_warnings:
simple_filter('always', category=DeprecationWarning)
trytes = TryteString.from_string('你好，世界！')
self.assertEqual(
[w.category for w in caught_warnings],
[DeprecationWarning],
)
self.assertEqual(
bytes(trytes),
b'LH9GYEMHCF9GWHZFEELHVFOEOHNEEEWHZFUD',
)
def test_from_trytes(self):
"""
Converting a sequence of tryte values into a TryteString.
"""
trytes = [
[0, 0, -1],
[-1, 1, 0],
[-1, 1, -1],
[0, 1, 0],
[0, 0, 0],
[1, 1, 0],
[0, 0, 0],
[1, 1, 0],
[0, 1, 0],
[1, 1, 0],
[-1, 0, -1],
[1, 0, 0],
[-1, -1, 1],
[1, 0, 0],
[1, 0, -1],
[-1, 1, 0],
[1, -1, 0],
[-1, 1, 0],
[0, 1, 0],
[0, 1, 0],
[-1, 1, 1],
[-1, 1, 0],
[0, -1, 1],
[1, 0, 0],
]
self.assertEqual(
bytes(TryteString.from_trytes(trytes)),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
def test_from_trits(self):
"""
Converting a sequence of trit values into a TryteString.
"""
trits = [
0, 0, -1,
-1, 1, 0,
-1, 1, -1,
0, 1, 0,
0, 0, 0,
1, 1, 0,
0, 0, 0,
1, 1, 0,
0, 1, 0,
1, 1, 0,
-1, 0, -1,
1, 0, 0,
-1, -1, 1,
1, 0, 0,
1, 0, -1,
-1, 1, 0,
1, -1, 0,
-1, 1, 0,
0, 1, 0,
0, 1, 0,
-1, 1, 1,
-1, 1, 0,
0, -1, 1,
1, 0, 0,
]
self.assertEqual(
bytes(TryteString.from_trits(trits)),
b'RBTC9D9DCDQAEASBYBCCKBFA',
)
def test_from_trits_wrong_length_padded(self):
"""
Automatically padding a sequence of trit values with length not
divisible by 3 so that it can be converted into a TryteString.
"""
trits = [
0, 0, -1,
-1, 1, 0,
-1, 1, -1,
0, 1, # 0, <- Oops, did you lose something?
]
self.assertEqual(
bytes(TryteString.from_trits(trits)),
b'RBTC',
)
class HashTestCase(TestCase):
def test_random(self):
"""
Generating a random Hash.
"""
rand = Hash.random()
self.assertEqual(len(rand), Hash.LEN)
class AddressTestCase(TestCase):
def test_init_automatic_pad(self):
"""
Addresses are automatically padded to 81 trytes.
"""
addy = Address(
b'JVMTDGDPDFYHMZPMWEKKANBQSLSDTIIHAYQUMZOK'
b'HXXXGJHJDQPOMDOMNRDKYCZRUFZROZDADTHZC'
)
self.assertEqual(
bytes(addy),
# Note the extra 9's added to the end.
b'JVMTDGDPDFYHMZPMWEKKANBQSLSDTIIHAYQUMZOK'
b'HXXXGJHJDQPOMDOMNRDKYCZRUFZROZDADTHZC9999',
)
# This attribute will make more sense once we start working with
# address checksums.
self.assertEqual(
bytes(addy.address),
b'JVMTDGDPDFYHMZPMWEKKANBQSLSDTIIHAYQUMZOK'
b'HXXXGJHJDQPOMDOMNRDKYCZRUFZROZDADTHZC9999',
)
# Checksum is not generated automatically.
self.assertIsNone(addy.checksum)
def test_init_error_too_long(self):
"""
Attempting to create an address longer than 81 trytes.
"""
with self.assertRaises(ValueError):
Address(
# Extra padding at the end is not ignored.
# If it's an address (without checksum), then it must be 81
# trytes exactly.
b'JVMTDGDPDFYHMZPMWEKKANBQSLSDTIIHAYQUMZOK'
b'HXXXGJHJDQPOMDOMNRDKYCZRUFZROZDADTHZC99999'
)
def test_init_with_checksum(self):
"""
Creating an address with checksum already attached.
"""
addy = Address(
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVAFOXM9MUBX'
)
self.assertEqual(
bytes(addy),
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVAFOXM9MUBX',
)
self.assertEqual(
bytes(addy.address),
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVA',
)
self.assertEqual(
bytes(addy.checksum),
b'FOXM9MUBX',
)
def test_init_error_checksum_too_long(self):
"""
Attempting to create an address longer than 90 trytes.
"""
with self.assertRaises(ValueError):
Address(
# Extra padding at the end is not ignored.
# If it's a checksummed address, then it must be 90 trytes
# exactly.
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVAFOXM9MUBX9'
)
def test_checksum_valid(self):
"""
An address is created with a valid checksum.
"""
addy = Address(
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVAITCOXAQSD',
)
self.assertTrue(addy.is_checksum_valid())
self.assertEqual(
bytes(addy.with_valid_checksum()),
b'RVORZ9SIIP9RCYMREUIXXVPQIPHVCNPQ9HZWYKFWYWZRE'
b'9JQKG9REPKIASHUUECPSQO9JT9XNMVKWYGVAITCOXAQSD',
)
def test_checksum_invalid(self):
"""
An address is created with an invalid checksum.
"""
trytes = (
b'IGKUOZGEFNSVJXETLIBKRSUZAWMYSVDPMHGQPCETEFNZP'
b'XSJLZMBLAWDRLUBWPIPKFNEPADIWMXMYYRKQ'
)
addy = Address(
trytes + b'XYYNAFRMB' # <- Last tryte s/b 'A'.
)
self.assertFalse(addy.is_checksum_valid())
self.assertEqual(
bytes(addy.with_valid_checksum()),
b'IGKUOZGEFNSVJXETLIBKRSUZAWMYSVDPMHGQPCETEFNZP'
b'XSJLZMBLAWDRLUBWPIPKFNEPADIWMXMYYRKQXYYNAFRMA',
)
def test_checksum_null(self):
"""
An address is created without a checksum.
"""
trytes = (
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMV'
)
addy = Address(trytes)
self.assertFalse(addy.is_checksum_valid())
self.assertEqual(
bytes(addy.with_valid_checksum()),
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMVJJJGBARPB',
)
def test_with_checksum_attributes(self):
"""
:py:meth:`Address.with_valid_checksum` also copies attributes such
as key index and balance.
"""
addy =\
Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMV',
key_index = 42,
balance = 86,
)
checked = addy.with_valid_checksum()
self.assertEqual(checked.key_index, 42)
self.assertEqual(checked.balance, 86)
def test_add_checksum(self):
"""
Checksum is added to an address without it.
"""
addy = Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMV'
)
addy.add_checksum()
self.assertTrue(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN + AddressChecksum.LEN)
def test_add_checksum_second_time(self):
"""
Checksum is added to an address that already has.
"""
addy = Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMVJJJGBARPB'
)
addy.add_checksum()
self.assertTrue(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN + AddressChecksum.LEN)
self.assertEqual(
addy,
Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMVJJJGBARPB'
)
)
def test_remove_checksum(self):
"""
Checksum is removed from an address.
"""
addy = Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMVJJJGBARPB'
)
self.assertTrue(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN + AddressChecksum.LEN)
addy.remove_checksum()
self.assertFalse(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN)
def test_remove_checksum_second_time(self):
"""
`remove_checksum` is called on an Address that does not have a checksum.
"""
addy = Address(
trytes =
b'ZKIUDZXQYQAWSHPKSAATJXPAQZPGYCDCQDRSMWWCGQJNI'
b'PCOORMDRNREDUDKBMUYENYTFVUNEWDBAKXMV'
)
self.assertFalse(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN)
addy.remove_checksum()
self.assertFalse(addy.is_checksum_valid())
self.assertTrue(len(addy) == Address.LEN)
def test_random(self):
"""
Creating a random Address object.
"""
addy = Address.random()
self.assertEqual(len(addy), Address.LEN)
class AddressChecksumTestCase(TestCase):
def test_init_happy_path(self):
"""
Creating a valid address checksum.
"""
self.assertEqual(bytes(AddressChecksum(b'FOXM9MUBX')), b'FOXM9MUBX')
def test_init_error_too_short(self):
"""
Attempting to create an address checksum shorter than 9 trytes.
"""
with self.assertRaises(ValueError):
AddressChecksum(b'FOXM9MUB')
def test_init_error_too_long(self):
"""
Attempting to create an address checksum longer than 9 trytes.
"""
with self.assertRaises(ValueError):
# Extra padding characters are not ignored.
# If it's an address checksum, it must be 9 trytes exactly.
AddressChecksum(b'FOXM9MUBX9')
def test_random(self):
"""
Creating a random AddressChecksum object.
"""
checksum = AddressChecksum.random()
self.assertEqual(len(checksum), AddressChecksum.LEN)
class TagTestCase(TestCase):
def test_init_automatic_pad(self):
"""
Tags are automatically padded to 27 trytes.
"""
tag = Tag(b'COLOREDCOINS')
self.assertEqual(bytes(tag), b'COLOREDCOINS999999999999999')
def test_init_error_too_long(self):
"""
Attempting to create a tag longer than 27 trytes.
"""
with self.assertRaises(ValueError):
# 28 chars = no va.
Tag(b'COLOREDCOINS9999999999999999')
def test_random(self):
"""
Creating a random Tag object.
"""
tag = Tag.random()
self.assertEqual(len(tag), Tag.LEN)
|
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from .Base import *
from .helper import hasHackChars
from ckstyle.browsers.BinaryRule import ALL, STD
from ckstyle.browsers.Detector import doRuleSetDetect
class FEDCombineSameRuleSets(StyleSheetChecker):
'''{
"summary":"合并两个完全相同的规则集",
"desc":"如果两个规则集完全一样，则可以进行合并。<br>
需要指出的是：合并可能会带来功能上的问题。如果有问题，还请告知~<br>
例如：<br>
<code>.a {width:100px}</code><br>
<code>.b {width:100px}</code><br>
<code>==></code><br>
<code>.a, .b {width:100px}</code><br>
<br>
<strong>安全模式下将不执行此规则</strong><br>
"
}'''
def __init__(self):
self.id = 'combine-same-rulesets'
self.errorMsg_empty = '"%s" contains the same rules in "${file}"'
self.errorMsg = ''
self.errorLevel = ERROR_LEVEL.WARNING
# can be checked correctly only after reorder/fix/compress, so do not check
def check(self, styleSheet, config):
ruleSets = styleSheet.getRuleSets()
mapping = self._gen_hash(ruleSets, ALL)
length = len(mapping)
errors = {}
for i in range(length):
for j in range(i + 1, length):
if mapping[i][1] == mapping[j][1]:
cssText = mapping[i][1]
if not errors.has_key(cssText):
errors[cssText] = []
errors[cssText].append(mapping[i][0])
errors[cssText].append(mapping[j][0])
elif mapping[j][0] not in errors[cssText]:
errors[cssText].append(mapping[j][0])
#errors.append(self.errorMsg_empty % (mapping[i][0], mapping[j][0]))
if len(errors.keys()) == 0:
return True
msgs = [(self.errorMsg_empty % ', '.join(x)) for x in errors.values()]
return msgs
def fix(self, styleSheet, config):
browser = config._curBrowser if config._curBrowser is not None else ALL
ruleSets = styleSheet.getRuleSets()
mapping = self._gen_hash(ruleSets, browser)
length = len(mapping)
splitedSelectors = []
for i in range(length):
splitedSelectors.append([x.strip() for x in mapping[i][0].split(',') if x.strip() is not ''])
for i in range(length):
if mapping[i][0] == 'extra':
continue
selectorHistory = []
for j in range(i + 1, length):
if mapping[i][1] != mapping[j][1]:
selectorHistory.extend(splitedSelectors[j])
continue
# 合并则遵循如下策略：
# 1、两者必须都与当前要求的浏览器兼容，即 browserI & browser != 0 and browserJ & browser != 0
# 2、两者的浏览器兼容性必须完全一致，即 browserI ^ browserJ == 0
# 第二点主要是因为有的属性合并以后，由于兼容性不同，受不兼容的selector影响，使本应该兼容的selector失效。
browserI = doRuleSetDetect(mapping[i][0])
browserJ = doRuleSetDetect(mapping[j][0])
if not (browserI & browser != 0 and browserJ & browser != 0 and browserI ^ browserJ == 0):
continue
# bakcground-position is dangerous, position设置必须在background-image之后
if mapping[j][1].find('background-position') != -1:
selectorHistory.extend(splitedSelectors[j])
continue
hasFlag = False
# ".a {width:0} .a, .b{width:1}, .b{width:0}" 不应该被合并成 ".a, .b{width:0} .a, .b{width:1}"
# 但是目前还有一个最严重的问题：
# .c {width:1}, .d{width:0}, .b{width:1}, .a{width:0}
# class="a c" => width 0
# class="b d" => width 1
# 一旦合并成 .b,.c{width:1} .d,.a{width:0} （不论往前合并还是往后合并，都是这个结果，囧）
# class="a c" => width 0
# class="b d" => width 0(本来为1)
# 这是无法解决的问题，因为我不能在没有分析DOM的情况下，确定两个selector指向同一个dom
# 为此，安全模式 --safeMode 诞生。
for x in splitedSelectors[j]:
if x in selectorHistory:
hasFlag = True
break
if hasFlag:
selectorHistory.extend(splitedSelectors[j])
continue
# make it different
mapping[j][1] = str(i) + str(j)
mapping[j][0] = 'extra'
# extend target selector
target = styleSheet.getRuleSets()[i]
src = styleSheet.getRuleSets()[j]
target.extendSelector(src)
# remove rule set
styleSheet.removeRuleSetByIndex(j)
selectorHistory.extend(splitedSelectors[j])
# remember to clean after remove ruleset
styleSheet.clean()
def _gen_hash(self, ruleSets, browser):
mapping = []
counter = 0
for r in ruleSets:
if r.extra:# or doRuleSetDetect(r.selector) != STD:
# make it impossible to equal
mapping.append(['extra', "do_not_combine_" + str(counter)])
counter = counter + 1
continue
mapping.append([r.selector, r.compressRules(browser)])
return mapping
|
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__all__ = ['WebHandler', 'cases', 'request_filter']
import logging
import functools
from copy import copy
from webob import Response
logger = logging.getLogger(__name__)
def is_chainable(handler):
while isinstance(handler, WebHandler):
if not hasattr(handler, '_next_handler'):
return True
handler = handler._next_handler
return False
def respond(response):
def response_wrapper(env, data):
return response
return response_wrapper
def prepare_handler(handler):
if isinstance(handler, Response):
return respond(handler)
elif isinstance(handler, type) and \
issubclass(handler, Response):
return respond(handler())
return handler
class WebHandler(object):
'''Base class for all request handlers.'''
def __or__(self, next_handler):
'''
Supports chaining handler after itself::
WebHandlerSubclass() | another_handler
'''
# XXX in some cases copy count can be big
# for example, chaining something after a huge cases(..) handler
# causes a copy of each single nested handler.
# Sure, is bad idea to chain anything after big cases(..) anyway.
h = self.copy()
next_handler = prepare_handler(next_handler)
if hasattr(self, '_next_handler'):
h._next_handler = h._next_handler | next_handler
else:
h._next_handler = next_handler
return h
def _locations(self):
next_handler = self.next_handler
if isinstance(next_handler, WebHandler):
return next_handler._locations()
# we are last in chain
return {}
def __repr__(self):
return '{}()'.format(self.__class__.__name__)
def __call__(self, env, data):
'''
Subclasses should define __call__ with handler code. It is good style to
give a name similar to handler's name to method and then make an alias
to __call__::
class MyHandler(WebHandler):
def my_handler(self, env, data):
do_something(env, data)
return self.next_handler(env, data)
__call__ = my_handler # This method should be overridden
# in subclasses.
'''
raise NotImplementedError(
'__call__ is not implemented in {!r}'.format(self))
@property
def next_handler(self):
'''A handler, chained next to self'''
if hasattr(self, '_next_handler'):
return self._next_handler
return lambda e, d: None
def copy(self):
'''
Returns copy for the handler to make handlers reusable.
Handlers are being copied automatically on chaining,
so you do not need to do it manually.'''
return copy(self)
class cases(WebHandler):
# XXX bad docstring
'''
Handler incapsulating multiple routing branches and choosing one of them
that matches current request::
web.cases(
web.match('/', 'index') | index,
web.match('/contacts', 'contacts') | contacts,
web.match('/about', 'about') | about,
)'''
def __init__(self, *handlers):
self.handlers = [prepare_handler(x) for x in handlers]
def __or__(self, next_handler):
#cases needs to set next handler for each handler it keeps
h = self.copy()
h.handlers = [(handler | next_handler
if is_chainable(handler)
else handler)
for handler in self.handlers]
return h
def cases(self, env, data):
'''Calls each nested handler until one of them returns nonzero result.
If any handler returns `None`, it is interpreted as
"request does not match, the handler has nothing to do with it and
`web.cases` should try to call the next handler".'''
for handler in self.handlers:
env._push()
data._push()
try:
result = handler(env, data)
finally:
env._pop()
data._pop()
if result is not None:
return result
# for readable tracebacks
__call__ = cases
def _locations(self):
locations = {}
for handler in self.handlers:
if isinstance(handler, WebHandler):
handler_locations = handler._locations()
for k, v in handler_locations.items():
if k in locations:
raise ValueError(
'Location "{}" already exists'.format(k))
locations[k] = v
return locations
def __repr__(self):
return '{}({})'.format(self.__class__.__name__,
', '.join(repr(h) for h in self.handlers))
class _FunctionWrapper3(WebHandler):
'''
Wrapper for handler represented by function
(3 args, old-style)
'''
def __init__(self, func):
self.handler = func
def function_wrapper(self, env, data):
return self.handler(env, data, self.next_handler)
__call__ = function_wrapper
def __repr__(self):
return '{}({!r})'.format(self.__class__.__name__, self.handler)
def request_filter(func):
'''Decorator transforming function to regular WebHandler.
This allows to chain other handlers after given.
The next handler is passed as third argument into the wrapped function::
@web.request_filter
def wrapper(env, data, next_handler):
do_something()
result = next_handler(env, data)
return do_something_else(result)
wrapped_app = wrapper | handler
'''
return functools.wraps(func)(_FunctionWrapper3(func))
|
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|
"""
Python-like loader which is able to customize default global namespace.
"""
from __future__ import absolute_import, division, print_function
from mybuild._compat import *
from mybuild.util.importlib.machinery import SourceFileLoader
class PyFileLoader(SourceFileLoader):
"""Loads Pybuild files and executes them as regular Python scripts.
Upon creation of a new module initializes its namespace with defaults taken
from the dictionary passed in __init__. Also adds a global variable
pointing to a module corresponding to the namespace root.
"""
@property
def defaults(self):
namespace = self.name.partition('.')[0]
return {namespace: __import__(namespace)}
def __init__(self, importer, fullname, path):
super(PyFileLoader, self).__init__(fullname, path)
self.importer = importer
def is_package(self, fullname):
return False
def defaults_for_module(self, module):
return self.defaults
def _init_module(self, module):
module.__dict__.update(self.defaults_for_module(module))
super(PyFileLoader, self)._init_module(module)
|
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}
|
from tempest.api.compute import base
from tempest import exceptions
from tempest import test
class AbsoluteLimitsNegativeTestJSON(base.BaseV2ComputeTest):
@classmethod
def resource_setup(cls):
super(AbsoluteLimitsNegativeTestJSON, cls).resource_setup()
cls.client = cls.limits_client
cls.server_client = cls.servers_client
@test.attr(type=['negative', 'gate'])
def test_max_image_meta_exceed_limit(self):
# We should not create vm with image meta over maxImageMeta limit
# Get max limit value
max_meta = self.client.get_specific_absolute_limit('maxImageMeta')
# No point in running this test if there is no limit.
if int(max_meta) == -1:
raise self.skipException('no limit for maxImageMeta')
# Create server should fail, since we are passing > metadata Limit!
max_meta_data = int(max_meta) + 1
meta_data = {}
for xx in range(max_meta_data):
meta_data[str(xx)] = str(xx)
# A 403 Forbidden or 413 Overlimit (old behaviour) exception
# will be raised when out of quota
self.assertRaises((exceptions.Unauthorized, exceptions.OverLimit),
self.server_client.create_server,
name='test', meta=meta_data,
flavor_ref=self.flavor_ref,
image_ref=self.image_ref)
|
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from rest_framework.test import APITestCase
from rest_framework import status
from django.core.urlresolvers import reverse
import json
from helpers import *
class Miscs1Test(APITestCase):
fixtures = ['users.json', 'nonprofits.json']
def test_api_root(self):
"""
"""
url = reverse('api-root')
with self.assertNumQueries(0):
response = self.client.get(url, format='json')
response_data = json.loads(response.content.decode('utf8'))
# check for base API presence
self.assertIn("causes", response_data)
self.assertIn("skills", response_data)
self.assertIn("states", response_data)
self.assertIn("cities", response_data)
self.assertIn("nonprofit", response_data)
self.assertIn("project", response_data)
self.assertIn("jobs", response_data)
self.assertIn("works", response_data)
self.assertIn("volunteers", response_data)
self.assertIn("volunteers_public", response_data)
self.assertIn("uploads/images", response_data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
# /v1/ rest_framework.routers.APIRoot api-root
def test_startup(self):
"""
"""
url = reverse('v1_startup')
with self.assertNumQueries(7):
response = self.client.get(url, format='json')
response_data = json.loads(response.content.decode('utf8'))
self.assertIn('states', response_data)
self.assertIn('skills', response_data)
self.assertIn('cities', response_data)
self.assertIn('numbers', response_data)
self.assertIn('causes', response_data)
self.assertEqual(response.status_code, status.HTTP_200_OK)
# /v1/startup/ rest_framework.decorators.startup
def test_numbers(self):
"""
"""
url = reverse('v1_numbers')
with self.assertNumQueries(3):
response = self.client.get(url, format='json')
response_data = json.loads(response.content.decode('utf8'))
self.assertIn('nonprofits', response_data)
self.assertIn('volunteers', response_data)
self.assertIn('projects', response_data)
self.assertEqual(response.status_code, 200)
# /v1/numbers/ rest_framework.decorators.numbers
def create_newsletter_data(self):
return {
"name": 'John Doe',
"email": 'john-doe@email.com',
"address": {
"addr": {
"formatted_address": "R. Capote Valente, 701, São Paulo"
},
"typed_address2": "Complemento"
}
}
#++ todo : check if gdd's newsletter is deprecaterd
#++ def test_add_to_gdd_newsletter(self):
#++ """
#++ """
#++ url = reverse('v1_add_to_gdd_newsletter')
#++ with self.assertNumQueries(1):
#++ response = self.client.post(url, self.create_newsletter_data(), format='json')
#++ response_data = json.loads(response.content.decode('utf8'))
#++
#++ self.assertEqual(response.status_code, status.HTTP_200_OK)
#++ # /v1/add_to_gdd_newsletter/ rest_framework.decorators.add_to_gdd_newsletter
# todo: optimize queries on #add_to_newsletter
def test_add_to_newsletter(self):
"""
"""
url = reverse('v1_add_to_newsletter')
with self.assertNumQueries(103):
response = self.client.post(url, self.create_newsletter_data(), format='json')
response_data = json.loads(response.content.decode('utf8'))
self.assertEqual(response.status_code, status.HTTP_200_OK)
# /v1/add_to_newsletter/ rest_framework.decorators.add_to_newsletter
def test_slug_role(self):
"""
"""
url = "{}?slug={}".format(reverse('v1_slug_role'), 'atado')
with self.assertNumQueries(2):
response = self.client.get(url, format='json')
response_data = json.loads(response.content.decode('utf8'))
#++ self.assertIn('type', response_data)
#++ self.assertEqual(response_data.type, 'NONPROFIT')
self.assertEqual(response.status_code, status.HTTP_200_OK)
# /v1/slug_role/ rest_framework.decorators.slug_role
#++ notice: DEPRECATED ??
#++ def test_legacy_to_slug(self):
#++ """
#++ """
#++ url = reverse('v1_legacy_to_slug', args=['something-to-slug'])
#++ with self.assertNumQueries(1):
#++ response = self.client.get(url, format='json')
#++ response_data = json.loads(response.content.decode('utf8'))
#++
#++ self.assertEqual(response.status_code, status.HTTP_200_OK)
#++ # /v1/legacy_to_slug/<type>/ rest_framework.decorators.legacy_to_slug
|
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"""Tests for distutils.cmd."""
import unittest
import os
from test.support import captured_stdout, run_unittest
from distutils.cmd import Command
from distutils.dist import Distribution
from distutils.errors import DistutilsOptionError
from distutils import debug
class MyCmd(Command):
def initialize_options(self):
pass
class CommandTestCase(unittest.TestCase):
def setUp(self):
dist = Distribution()
self.cmd = MyCmd(dist)
def test_ensure_string_list(self):
cmd = self.cmd
cmd.not_string_list = ['one', 2, 'three']
cmd.yes_string_list = ['one', 'two', 'three']
cmd.not_string_list2 = object()
cmd.yes_string_list2 = 'ok'
cmd.ensure_string_list('yes_string_list')
cmd.ensure_string_list('yes_string_list2')
self.assertRaises(DistutilsOptionError,
cmd.ensure_string_list, 'not_string_list')
self.assertRaises(DistutilsOptionError,
cmd.ensure_string_list, 'not_string_list2')
cmd.option1 = 'ok,dok'
cmd.ensure_string_list('option1')
self.assertEqual(cmd.option1, ['ok', 'dok'])
cmd.option2 = ['xxx', 'www']
cmd.ensure_string_list('option2')
cmd.option3 = ['ok', 2]
self.assertRaises(DistutilsOptionError, cmd.ensure_string_list,
'option3')
def test_make_file(self):
cmd = self.cmd
# making sure it raises when infiles is not a string or a list/tuple
self.assertRaises(TypeError, cmd.make_file,
infiles=1, outfile='', func='func', args=())
# making sure execute gets called properly
def _execute(func, args, exec_msg, level):
self.assertEqual(exec_msg, 'generating out from in')
cmd.force = True
cmd.execute = _execute
cmd.make_file(infiles='in', outfile='out', func='func', args=())
def test_dump_options(self):
msgs = []
def _announce(msg, level):
msgs.append(msg)
cmd = self.cmd
cmd.announce = _announce
cmd.option1 = 1
cmd.option2 = 1
cmd.user_options = [('option1', '', ''), ('option2', '', '')]
cmd.dump_options()
wanted = ["command options for 'MyCmd':", ' option1 = 1',
' option2 = 1']
self.assertEqual(msgs, wanted)
def test_ensure_string(self):
cmd = self.cmd
cmd.option1 = 'ok'
cmd.ensure_string('option1')
cmd.option2 = None
cmd.ensure_string('option2', 'xxx')
self.assertTrue(hasattr(cmd, 'option2'))
cmd.option3 = 1
self.assertRaises(DistutilsOptionError, cmd.ensure_string, 'option3')
def test_ensure_filename(self):
cmd = self.cmd
cmd.option1 = __file__
cmd.ensure_filename('option1')
cmd.option2 = 'xxx'
self.assertRaises(DistutilsOptionError, cmd.ensure_filename, 'option2')
def test_ensure_dirname(self):
cmd = self.cmd
cmd.option1 = os.path.dirname(__file__) or os.curdir
cmd.ensure_dirname('option1')
cmd.option2 = 'xxx'
self.assertRaises(DistutilsOptionError, cmd.ensure_dirname, 'option2')
def test_debug_print(self):
cmd = self.cmd
with captured_stdout() as stdout:
cmd.debug_print('xxx')
stdout.seek(0)
self.assertEqual(stdout.read(), '')
debug.DEBUG = True
try:
with captured_stdout() as stdout:
cmd.debug_print('xxx')
stdout.seek(0)
self.assertEqual(stdout.read(), 'xxx\n')
finally:
debug.DEBUG = False
def test_suite():
return unittest.makeSuite(CommandTestCase)
if __name__ == '__main__':
run_unittest(test_suite())
|
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import os
import warnings
import pytest
from pex import pex_warnings
from pex.common import temporary_dir
from pex.compatibility import PY2
from pex.pex_warnings import PEXWarning
from pex.testing import environment_as
from pex.typing import TYPE_CHECKING
from pex.util import named_temporary_file
from pex.variables import NoValueError, Variables
if TYPE_CHECKING:
from typing import Any
def test_process_pydoc():
# type: () -> None
def thing():
# no pydoc
pass
assert Variables.process_pydoc(thing.__doc__) == ("Unknown", "Unknown")
def other_thing():
"""Type
Properly
formatted
text.
"""
assert Variables.process_pydoc(other_thing.__doc__) == ("Type", "Properly formatted text.")
def test_iter_help():
# type: () -> None
for variable_name, variable_type, variable_text in Variables.iter_help():
assert variable_name.startswith("PEX_")
assert "\n" not in variable_type
assert "\n" not in variable_text
def test_pex_bool_variables():
# type: () -> None
assert Variables(environ={})._maybe_get_bool("NOT_HERE") is None
with pytest.raises(NoValueError):
Variables(environ={})._get_bool("NOT_HERE")
for value in ("0", "faLsE", "false"):
assert Variables(environ={"HERE": value})._get_bool("HERE") is False
for value in ("1", "TrUe", "true"):
assert Variables(environ={"HERE": value})._get_bool("HERE") is True
with pytest.raises(SystemExit):
Variables(environ={"HERE": "garbage"})._get_bool("HERE")
# end to end
assert Variables().PEX_ALWAYS_CACHE is False
assert Variables({"PEX_ALWAYS_CACHE": "1"}).PEX_ALWAYS_CACHE is True
def test_pex_string_variables():
# type: () -> None
assert Variables(environ={})._maybe_get_string("NOT_HERE") is None
with pytest.raises(NoValueError):
Variables(environ={})._get_string("NOT_HERE")
assert Variables(environ={"HERE": "stuff"})._get_string("HERE") == "stuff"
def test_pex_get_int():
# type: () -> None
with pytest.raises(NoValueError):
Variables()._get_int("HELLO")
assert Variables(environ={"HELLO": "23"})._get_int("HELLO") == 23
with pytest.raises(SystemExit):
assert Variables(environ={"HELLO": "welp"})._get_int("HELLO")
def assert_pex_vars_hermetic():
# type: () -> None
v = Variables()
assert os.environ.copy() == v.copy()
existing = os.environ.get("TEST")
expected = (existing or "") + "different"
assert expected != existing
with environment_as(TEST=expected):
assert expected != v.copy().get("TEST")
def test_pex_vars_hermetic_no_pexrc():
# type: () -> None
assert_pex_vars_hermetic()
def test_pex_vars_hermetic():
# type: () -> None
with environment_as(PEX_IGNORE_RCFILES="True"):
assert_pex_vars_hermetic()
def test_pex_get_kv():
# type: () -> None
v = Variables(environ={})
assert v._get_kv("HELLO") is None
assert v._get_kv("=42") is None
assert v._get_kv("TOO=MANY=COOKS") is None
assert v._get_kv("THIS=WORKS") == ["THIS", "WORKS"]
def test_pex_from_rc():
# type: () -> None
with named_temporary_file(mode="w") as pexrc:
pexrc.write("HELLO=42")
pexrc.flush()
v = Variables(rc=pexrc.name)
assert v._get_int("HELLO") == 42
def test_pexrc_precedence():
# type: () -> None
with named_temporary_file(mode="w") as pexrc:
pexrc.write("HELLO=FORTYTWO")
pexrc.flush()
v = Variables(rc=pexrc.name, environ={"HELLO": "42"})
assert v._get_int("HELLO") == 42
def test_rc_ignore():
# type: () -> None
with named_temporary_file(mode="w") as pexrc:
pexrc.write("HELLO=FORTYTWO")
pexrc.flush()
v = Variables(rc=pexrc.name, environ={"PEX_IGNORE_RCFILES": "True"})
assert "HELLO" not in v._environ
def test_pex_vars_defaults_stripped():
# type: () -> None
v = Variables(environ={})
# bool
assert v.PEX_ALWAYS_CACHE is not None
assert Variables.PEX_ALWAYS_CACHE.strip_default(v) is None
# string
assert v.PEX_PROFILE_SORT is not None
assert Variables.PEX_PROFILE_SORT.strip_default(v) is None
# int
assert v.PEX_VERBOSE is not None
assert Variables.PEX_VERBOSE.strip_default(v) is None
def test_pex_root_unwriteable():
# type: () -> None
with temporary_dir() as td:
pex_root = os.path.realpath(os.path.join(td, "pex_root"))
os.mkdir(pex_root, 0o444)
env = Variables(environ=dict(PEX_ROOT=pex_root))
with warnings.catch_warnings(record=True) as log:
assert pex_root != env.PEX_ROOT
assert 1 == len(log)
message = log[0].message
assert isinstance(message, PEXWarning)
assert pex_root in str(message)
assert env.PEX_ROOT is not None
assert env.PEX_ROOT in str(message)
assert (
env.PEX_ROOT == env.PEX_ROOT
), "When an ephemeral PEX_ROOT is materialized it should be stable."
def test_pex_vars_value_or(tmpdir):
# type: (Any) -> None
v = Variables(environ={})
assert v.PEX_ROOT is not None, "Expected PEX_ROOT to be a defaulted variable."
pex_root = str(tmpdir)
assert pex_root == Variables.PEX_ROOT.value_or(v, pex_root)
unwriteable_pex_root = os.path.join(pex_root, "unwriteable")
os.mkdir(unwriteable_pex_root, 0o444)
assert unwriteable_pex_root != Variables.PEX_ROOT.value_or(v, unwriteable_pex_root), (
"Expected the fallback to be validated, and in the case of PEX_ROOT, replaced with a "
"writeable tmp dir"
)
def test_patch():
# type: () -> None
v = Variables(environ=dict(PEX_VERBOSE="3", PEX_PYTHON="jython", PEX_EMIT_WARNINGS="True"))
assert v.PEX_VERBOSE == 3
assert v.PEX_PYTHON == "jython"
assert v.PEX_EMIT_WARNINGS is True
assert v.PEX_FORCE_LOCAL is False
with v.patch(PEX_VERBOSE="1", PEX_EMIT_WARNINGS=None, PEX_FORCE_LOCAL="True") as env:
assert env["PEX_VERBOSE"] == "1"
assert env["PEX_PYTHON"] == "jython"
assert "PEX_EMIT_WARNINGS" not in env
assert env["PEX_FORCE_LOCAL"] == "True"
assert v.PEX_VERBOSE == 1
assert v.PEX_PYTHON == "jython"
assert v.PEX_EMIT_WARNINGS is None
# If the assertion is flipped from `is True` to `is False` this test fails; so MyPy is just
# confused here about the statement being unreachable.
assert v.PEX_FORCE_LOCAL is True # type: ignore[unreachable]
@pytest.mark.skipif(
PY2,
reason=(
"The `warnings.catch_warnings` mechanism doesn't work properly under CPython 2.7 & pypy2 "
"across multiple tests. Since we only use `warnings.catch_warnings` in unit tests and "
"the mechanisms tested here are also tested in integration tests under CPython 2.7 & pypy "
"we accept that these unit tests appear un-fixable without a lot of warnings mocking."
),
)
def test_warnings():
# type: () -> None
environ = dict(
PEX_IGNORE_ERRORS="true",
PEX_ALWAYS_CACHE="true",
PEX_FORCE_LOCAL="true",
PEX_UNZIP="true",
)
with warnings.catch_warnings(record=True) as events:
pex_warnings.configure_warnings(Variables(environ={}))
env = Variables(environ=environ)
assert env.PEX_IGNORE_ERRORS is True
assert env.PEX_ALWAYS_CACHE is True
assert env.PEX_FORCE_LOCAL is True
assert env.PEX_UNZIP is True
warning_by_message_first_sentence = {
str(event.message).split(". ")[0]: event.message for event in events
}
assert all(
isinstance(warning, PEXWarning) for warning in warning_by_message_first_sentence.values()
)
assert tuple(
sorted(
"The `{}` env var is deprecated".format(env_var)
for env_var in ("PEX_ALWAYS_CACHE", "PEX_FORCE_LOCAL", "PEX_UNZIP")
)
) == tuple(sorted(warning_by_message_first_sentence))
def test_empty_pex_path_issue_1936():
# type: () -> None
assert () == Variables(environ={}).PEX_PATH
assert () == Variables(environ={"PEX_PATH": ""}).PEX_PATH
assert (".",) == Variables(environ={"PEX_PATH": "."}).PEX_PATH
|
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__all__ = ['imread']
import numpy as np
try:
from PIL import Image
except ImportError:
raise ImportError("The Python Image Library could not be found. "
"Please refer to http://pypi.python.org/pypi/PIL/ "
"for further instructions.")
from skimage.util import img_as_ubyte
from six import string_types
def imread(fname, dtype=None):
"""Load an image from file.
"""
im = Image.open(fname)
if im.mode == 'P':
if _palette_is_grayscale(im):
im = im.convert('L')
else:
im = im.convert('RGB')
elif im.mode == '1':
im = im.convert('L')
elif im.mode.startswith('I;16'):
shape = im.size
dtype = '>u2' if im.mode.endswith('B') else '<u2'
im = np.fromstring(im.tostring(), dtype)
im.shape = shape[::-1]
elif 'A' in im.mode:
im = im.convert('RGBA')
return np.array(im, dtype=dtype)
def _palette_is_grayscale(pil_image):
"""Return True if PIL image in palette mode is grayscale.
Parameters
----------
pil_image : PIL image
PIL Image that is in Palette mode.
Returns
-------
is_grayscale : bool
True if all colors in image palette are gray.
"""
assert pil_image.mode == 'P'
# get palette as an array with R, G, B columns
palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
# Not all palette colors are used; unused colors have junk values.
start, stop = pil_image.getextrema()
valid_palette = palette[start:stop]
# Image is grayscale if channel differences (R - G and G - B)
# are all zero.
return np.allclose(np.diff(valid_palette), 0)
def imsave(fname, arr, format_str=None):
"""Save an image to disk.
Parameters
----------
fname : str or file-like object
Name of destination file.
arr : ndarray of uint8 or float
Array (image) to save. Arrays of data-type uint8 should have
values in [0, 255], whereas floating-point arrays must be
in [0, 1].
format_str: str
Format to save as, this is defaulted to PNG if using a file-like
object; this will be derived from the extension if fname is a string
Notes
-----
Currently, only 8-bit precision is supported.
"""
arr = np.asarray(arr).squeeze()
if arr.ndim not in (2, 3):
raise ValueError("Invalid shape for image array: %s" % arr.shape)
if arr.ndim == 3:
if arr.shape[2] not in (3, 4):
raise ValueError("Invalid number of channels in image array.")
# Image is floating point, assume in [0, 1]
if np.issubdtype(arr.dtype, float):
arr = arr * 255
arr = arr.astype(np.uint8)
if arr.ndim == 2:
mode = 'L'
elif arr.shape[2] in (3, 4):
mode = {3: 'RGB', 4: 'RGBA'}[arr.shape[2]]
# Force all integers to bytes
arr = arr.astype(np.uint8)
# default to PNG if file-like object
if not isinstance(fname, string_types) and format_str is None:
format_str = "PNG"
try:
img = Image.frombytes(mode, (arr.shape[1], arr.shape[0]),
arr.tostring())
except AttributeError:
img = Image.fromstring(mode, (arr.shape[1], arr.shape[0]),
arr.tostring())
img.save(fname, format=format_str)
def imshow(arr):
"""Display an image, using PIL's default display command.
Parameters
----------
arr : ndarray
Image to display. Images of dtype float are assumed to be in
[0, 1]. Images of dtype uint8 are in [0, 255].
"""
Image.fromarray(img_as_ubyte(arr)).show()
def _app_show():
pass
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import re
def instantiate_request_uri_templates(json_content):
"""Instantiate the parameters for all the requests URI templates
Arguments:
json_content -- JSON object containing the API parsed spec
"""
for resource_group in json_content["resourceGroups"]:
for resource in resource_group["resources"]:
for action in resource["actions"]:
for example in action["examples"]:
for request in example["requests"]:
if request["name"].find('/') < 0:
# URI parameters can be defined in the resource
# and / or the action. Combine the list of parameters
# of both.
uri_parameters = combine_uri_parameters(resource["parameters"], action["parameters"])
# Instantiate the parameters in the action URI (or in
# the resource URI if action URI is empty).
if len(action["attributes"]["uriTemplate"]) > 0:
request["name"] = \
request["name"] + " " + instantiate_uri( action["attributes"]["uriTemplate"], uri_parameters)
else:
request["name"] = \
request["name"] + " " + instantiate_uri( resource["uriTemplate"], uri_parameters)
def combine_uri_parameters(resource_uri_parameters, action_uri_parameters):
"""Combine the URI parameters of the given action and resource
Combine URI parameters of the current action and resource. In case
of a parameter being defined in both the resource and the action,
list only that of the action.
Arguments:
resource_uri_parameters -- URI parameters of the given resource
action_uri_parameters -- URI parameters of the given action
"""
uri_parameters = []
# Append to the result list all the URI parameters from the resource
# which are not redefined in the action.
for resource_uri_parameter in resource_uri_parameters:
parameter_overwritten_in_action = False
for action_uri_parameter in action_uri_parameters:
if resource_uri_parameter["name"] == action_uri_parameter["name"]:
parameter_overwritten_in_action = True
if not parameter_overwritten_in_action:
uri_parameters.append(resource_uri_parameter)
# Append all the parameters from the action to the result list.
uri_parameters.extend(action_uri_parameters)
return uri_parameters
def instantiate_uri(URI_template, parameters):
"""Instantiate an URI template from a list of parameters
Arguments:
URI_template - URI template to be instanted
parameters - List of URI parameters used for instantiating
"""
# Find all the parameter blocks (ie. {var}, {?var1,var2}, etc).
regex = re.compile("{([^}]*)}")
URI_parameters_blocks = re.findall(regex,URI_template)
# Process every parameter block found in the URI
for URI_parameter_block in URI_parameters_blocks:
# Parameters of the form "#var" will be replaced with "#value", so we
# keep the '#' as a prefix.
prefix = ''
if URI_parameter_block[0] == '#':
prefix = '#'
# Form-style parameters (ie. ?var, &var) requires a different
# substitution, so mark them as special cases for the substitutions
# loop.
form_style_query_parameters = False;
if URI_parameter_block[0] == '?':
form_style_query_parameters = True;
first_form_style_query_parameter = True;
elif URI_parameter_block[0] == '&':
form_style_query_parameters = True;
first_form_style_query_parameter = False;
# If the current parameters blocks startswith '?', '&', etc we
# remove such prefix for the substitutions loop.
if prefix == '' and form_style_query_parameters == False and URI_parameter_block[0] != '+':
URI_parameter_block_replace = URI_parameter_block
else:
URI_parameter_block_replace = URI_parameter_block[1:]
# Start replacing all the parameters inside the parameter blocks one
# by one.
for URI_parameter in URI_parameter_block_replace.split(','):
# Form-style parameters as "?var" will be replaced by
# "?var=value", so keep "var=" as a prefix.
if form_style_query_parameters == True:
if first_form_style_query_parameter:
prefix = "?" + URI_parameter + "="
first_form_style_query_parameter = False
else:
prefix = "&" + URI_parameter + "="
# Search the current URI parameter in the list of parameters
# given and replace its name with its example value.
i = 0
parameter_definition_found = False
while i < len(parameters) and not parameter_definition_found:
if parameters[i]['name'] == URI_parameter and len(parameters[i]['example']) > 0:
parameter_definition_found = True
URI_parameter_block_replace = URI_parameter_block_replace.replace(URI_parameter, prefix + parameters[i]['example'])
i += 1
# If the parameter can not be found or it has not example value,
# we replace it with "{prefix+var-name}" or simply ignore it
# depending on the type of parameter.
if parameter_definition_found == False:
if URI_parameter_block[0] != '?' and URI_parameter_block[0] != '&':
if URI_parameter_block[0] == '+':
prefix = '+'
URI_parameter_block_replace = URI_parameter_block_replace.replace(URI_parameter, "{" + prefix + URI_parameter + "}")
else:
URI_parameter_block_replace = URI_parameter_block_replace.replace(URI_parameter, '')
# Replace the original parameter block with the values of its members
# omiting the separator character (',').
URI_parameter_block_replace = URI_parameter_block_replace.replace(',','')
URI_template = URI_template.replace("{" + URI_parameter_block + "}",URI_parameter_block_replace)
return URI_template
|
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from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('feedbacks', '0002_auto_20181007_1922'),
]
operations = [
migrations.AlterField(
model_name='answer',
name='author_name',
field=models.CharField(max_length=60, verbose_name='author name'),
),
]
|
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from __future__ import division, print_function
import argparse
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import multiprocessing as mp
import comptools as comp
import comptools.analysis.plotting as plotting
color_dict = comp.analysis.get_color_dict()
def get_binned_energy_counts(config):
df_data = comp.load_dataframe(datatype='data', config=config)
energybins = comp.analysis.get_energybins()
counts, _ = np.histogram(df_data['lap_log_energy'],
bins=energybins.log_energy_bins)
print('{} complete!'.format(config))
return counts
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Extracts and saves desired information from simulation/data .i3 files')
parser.add_argument('-c', '--config', dest='config', nargs='*',
choices=comp.datafunctions.get_data_configs(),
help='Detector configuration')
args = parser.parse_args()
# Energy distribution comparison plot
energy_dist_pool = mp.Pool(processes=len(args.config))
energy_counts = energy_dist_pool.map(get_binned_energy_counts, args.config)
config_counts_dict = dict(zip(args.config, energy_counts))
energybins = comp.analysis.get_energybins()
gs = gridspec.GridSpec(2, 1, height_ratios=[1,1], hspace=0.1)
ax1 = plt.subplot(gs[0])
ax2 = plt.subplot(gs[1], sharex=ax1)
for idx, config in enumerate(args.config):
counts = config_counts_dict[config]
frequency = counts/np.sum(counts)
frequency_err = np.sqrt(counts)/np.sum(counts)
plotting.plot_steps(energybins.log_energy_bins, frequency, yerr=frequency_err,
color='C{}'.format(idx), label=config, alpha=0.8,
ax=ax1)
ax1.set_ylabel('Frequency')
ax1.tick_params(labelbottom='off')
ax1.grid()
ax1.legend()
for idx, config in enumerate(args.config):
if config == 'IC86.2012': continue
counts = config_counts_dict[config]
frequency = counts/np.sum(counts)
frequency_err = np.sqrt(counts)/np.sum(counts)
counts_2012 = config_counts_dict['IC86.2012']
frequency_2012 = counts_2012/np.sum(counts_2012)
frequency_err_2012 = np.sqrt(counts_2012)/np.sum(counts_2012)
ratio, ratio_err = comp.analysis.ratio_error(frequency, frequency_err,
frequency_2012, frequency_err_2012)
plotting.plot_steps(energybins.log_energy_bins, ratio, yerr=ratio_err,
color='C{}'.format(idx), label=config, alpha=0.8,
ax=ax2)
ax2.axhline(1, marker='None', linestyle='-.', color='k', lw=1.5)
ax2.set_ylabel('$\mathrm{f/f_{2012}}$')
# ax2.set_ylabel('Ratio with IC86.2012')
ax2.set_xlabel('$\mathrm{\log_{10}(E_{reco}/GeV)}$')
# ax2.set_ylim(0)
ax2.set_xlim(energybins.log_energy_min, energybins.log_energy_max)
ax2.grid()
energy_dist_outfile = os.path.join(comp.paths.figures_dir,
'yearly_data_comparisons', 'energy_dist.png')
comp.check_output_dir(energy_dist_outfile)
plt.savefig(energy_dist_outfile)
|
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__author__ = 'digao'
from flask import Flask
from flask.ext.mongoengine import MongoEngine
app = Flask(__name__)
app.config["MONGODB_SETTINGS"] = {'DB': "my_tumble_log"}
app.config["SECRET_KEY"] = "KeepThisS3cr3t"
db = MongoEngine()
db.init_app(app)
def register_blueprints(app):
# Prevents circular imports
from views import posts
app.register_blueprint(posts)
from admin import admin
admin.init_app(app)
register_blueprints(app)
if __name__ == '__main__':
app.run()
|
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subreddit = 'BollyBlindsNGossip'
t_channel = '@bollybng'
def send_post(submission, r2t):
return r2t.send_simple(submission)
|
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import unittest
import fibonacci as fm
class FibonacciTests(unittest.TestCase):
"""Test all Fibonacci functions against a list of known Fibonacci numbers
Values indexed 0 - 38 are from OEIS https://oeis.org/search?q=fibonacci
39 - 50 manually calculated and verified by Brig Young
"""
century_fib = 354224848179261915075
"""A curated value of fibonacci(100) ref: M.L. Hetland pp. 177.
Note that Magnus is skipping the beginning zero so his indices are
actually (N-1). Also see:
http://www.maths.surrey.ac.uk/hosted-sites/R.Knott/Fibonacci/fibtable.html
"""
fibs = [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377,
610, 987, 1597, 2584, 4181, 6765, 10946, 17711, 28657,
46368, 75025, 121393, 196418, 317811, 514229, 832040,
1346269, 2178309, 3524578, 5702887, 9227465, 14930352,
24157817, 39088169, 63245986, 102334155, 165580141,
267914296, 433494437, 701408733, 1134903170, 1836311903,
2971215073, 4807526976, 7778742049, 12586269025]
"""A curated list of Fibonacci numbers with correctly matched indexes
"""
def test_Sequencer(self):
"""Create a list of fibonacci numbers via sequencing over count of known
good values and compare to list of known good values.
"""
sequenced_list = []
[sequenced_list.append(fm.fibonacciSequencer(x)) for x in range(len(self.fibs))]
self.assertEqual(sequenced_list, self.fibs,
"fibonacciSequencer() has calculated incorrect values")
def test_Generator(self):
"""Create a list of fibonacci numbers via a python generator indexed by
count of known good values and compare to list of known good values.
"""
generated_list = []
fibgen = fm.fibonacciGenerator()
[generated_list.append(next(fibgen)) for x in range(len(self.fibs))]
self.assertEqual(generated_list, self.fibs,
"fibonacciGenerator() has caculated incorrect values")
def test_ClosedForm(self):
"""Create a list of fibonacci numbers via closed form equation indexed by
count of known good values and compare to list of known good values.
"""
closedform_list = []
[closedform_list.append(fm.fibonacciClosedForm(x)) for x in range(len(self.fibs))]
self.assertEqual(closedform_list, self.fibs,
"fibonacciClosedForm() has calculated incorrect values")
def test_NaiveRecursion(self):
"""Create a list of fibonacci numbers via naive recursion indexed by
count of known good values and compare to list of known good values.
"""
fibs_short_list = self.fibs[:20]
recursion_list = []
[recursion_list.append(fm.fibonacciNaiveRecursion(x)) for x in range(len(fibs_short_list))]
self.assertEqual(recursion_list, fibs_short_list,
"fibonacciRecursion() has calculated incorrect values")
def test_MemoRecursion(self):
"""Create a list of fibonacci numbers via recursion with a memo-ized
cache of previously calculated values. The returned list of values
are then compared to a list of known good values.
"""
fibs_short_list = self.fibs[:20]
memo_recursion_list = []
[memo_recursion_list.append(fm.fibonacciMemoRecursion(x)) for x in range(len(fibs_short_list))]
self.assertEqual(memo_recursion_list, fibs_short_list,
"fibonacciMemoRecursion() has calculated incorrect values")
def test_DeepRecursion(self):
"""Evaluate Memo Recursion at N=100 and compared to known good result
"""
self.assertEqual(fm.fibonacciMemoRecursion(100), self.century_fib,
"fibonacciMemoRecursion() has caluculated incorrect deep result")
unittest.main(verbosity=2)
|
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from fastapi import Body, FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
description: str | None = None
price: float
tax: float | None = None
class User(BaseModel):
username: str
full_name: str | None = None
@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item, user: User, importance: int = Body()):
results = {"item_id": item_id, "item": item, "user": user, "importance": importance}
return results
|
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TARGETS = [
'KitchenSink.py',
]
PACKAGE = {
'title': 'kitchensink',
'desc': 'KitchenSink example',
}
def setup(targets):
'''Setup example for translation, MUST call util.setup(targets).'''
util.setup(targets)
def translate():
'''Translate example, MUST call util.translate().'''
util.translate()
def install(package):
'''Install and cleanup example module. MUST call util.install(package)'''
util.install(package)
##---------------------------------------##
# --------- (-: DO NOT EDIT :-) --------- #
##---------------------------------------##
import sys
import os
examples = head = os.path.abspath(os.path.dirname(__file__))
while os.path.split(examples)[1].lower() != 'examples':
examples = os.path.split(examples)[0]
if not examples:
raise ValueError("Cannot determine examples directory")
sys.path.insert(0, os.path.join(examples))
from _examples import util
sys.path.pop(0)
util.init(head)
setup(TARGETS)
translate()
install(PACKAGE)
|
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import json
from tempest.common.rest_client import RestClient
class ExtensionsClientJSON(RestClient):
def __init__(self, config, username, password, auth_url, tenant_name=None):
super(ExtensionsClientJSON, self).__init__(config, username, password,
auth_url, tenant_name)
self.service = self.config.volume.catalog_type
def list_extensions(self):
url = 'extensions'
resp, body = self.get(url)
body = json.loads(body)
return resp, body['extensions']
|
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"""
Python Interchangeable Virtual Instrument Library
Copyright (c) 2013-2017 Alex Forencich
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""
from . import ivi
# Parameter Values
ApertureTimeUnits = set(['seconds', 'powerline_cycles'])
Auto = set(['off', 'on', 'once'])
Auto2 = set(['off', 'on'])
MeasurementFunction = set(['dc_volts', 'ac_volts', 'dc_current', 'ac_current',
'two_wire_resistance', 'four_wire_resistance',
'ac_plus_dc_volts', 'ac_plus_dc_current', 'frequency',
'period', 'temperature'])
ThermocoupleReferenceJunctionType = set(['internal', 'fixed'])
ThermocoupleType = set(['b', 'c', 'd', 'e', 'g', 'j', 'k', 'n', 'r', 's', 't', 'u', 'v'])
TemperatureTransducerType = set(['thermocouple', 'thermistor', 'two_wire_rtd', 'four_wire_rtd'])
Slope = set(['positive', 'negative'])
class Base(ivi.IviContainer):
"Base IVI methods for DMMs that take a single measurement at a time"
def __init__(self, *args, **kwargs):
super(Base, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'Base'
ivi.add_group_capability(self, cls+grp)
self._measurement_function = 'dc_volts'
self._range = 0
self._auto_range = 'off'
self._resolution = 1
self._trigger_delay = 0
self._trigger_delay_auto = False
self._trigger_source = ''
self._add_property('measurement_function',
self._get_measurement_function,
self._set_measurement_function)
self._add_property('range',
self._get_range,
self._set_range)
self._add_property('auto_range',
self._get_auto_range,
self._set_auto_range)
self._add_property('resolution',
self._get_resolution,
self._set_resolution)
self._add_property('trigger.delay',
self._get_trigger_delay,
self._set_trigger_delay)
self._add_property('trigger.delay_auto',
self._get_trigger_delay_auto,
self._set_trigger_delay_auto)
self._add_property('trigger.source',
self._get_trigger_source,
self._set_trigger_source)
self._add_method('configure',
self._configure)
self._add_method('trigger.configure',
self._trigger_configure)
self._add_method('measurement.abort',
self._measurement_abort)
self._add_method('measurement.fetch',
self._measurement_fetch)
self._add_method('measurement.initiate',
self._measurement_initiate)
self._add_method('measurement.is_out_of_range',
self._measurement_is_out_of_range)
self._add_method('measurement.is_over_range',
self._measurement_is_over_range)
self._add_method('measurement.is_under_range',
self._measurement_is_under_range)
self._add_method('measurement.read',
self._measurement_read)
def _get_measurement_function(self):
return self._measurement_function
def _set_measurement_function(self, value):
if value not in MeasurementFunction:
raise ivi.ValueNotSupportedException()
self._measurement_function = value
def _get_range(self):
return self._range
def _set_range(self, value):
value = float(value)
self._range = value
def _get_auto_range(self):
return self._auto_range
def _set_auto_range(self, value):
if value not in Auto:
raise ivi.ValueNotSupportedException()
self._auto_range = value
def _get_resolution(self):
return self._resolution
def _set_resolution(self, value):
value = float(value)
self._resolution = value
def _get_trigger_delay(self):
return self._trigger_delay
def _set_trigger_delay(self, value):
value = float(value)
self._trigger_delay = value
def _get_trigger_delay_auto(self):
return self._trigger_delay_auto
def _set_trigger_delay_auto(self, value):
value = bool(value)
self._trigger_delay_auto = value
def _get_trigger_source(self):
return self._trigger_source
def _set_trigger_source(self, value):
value = str(value)
self._trigger_source = value
def _measurement_abort(self):
pass
def _configure(self, function, range, resolution):
self._set_measurement_function(function)
if range in Auto:
self._set_auto_range(range)
else:
self._set_range(range)
self._set_resolution(resolution)
def _trigger_configure(self, source, delay):
self._set_trigger_source(source)
if isinstance(delay, bool):
self._set_trigger_auto_delay(delay)
else:
self._set_trigger_delay(delay)
def _measurement_fetch(self, max_time):
return 0.0
def _measurement_initiate(self):
pass
def _measurement_is_out_of_range(self, value):
return self._measurement_is_over_range(value) or self._measurement_is_under_range(value)
def _measurement_is_over_range(self, value):
return False
def _measurement_is_under_range(self, value):
return False
def _measurement_read(self, max_time):
return 0.0
class ACMeasurement(ivi.IviContainer):
"Extension IVI methods for DMMs that can take AC voltage or AC current measurements"
def __init__(self, *args, **kwargs):
super(ACMeasurement, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'ACMeasurement'
ivi.add_group_capability(self, cls+grp)
self._ac_frequency_max = 100
self._ac_frequency_min = 10
self._add_property('ac.frequency_max',
self._get_ac_frequency_max,
self._set_ac_frequency_max)
self._add_property('ac.frequency_min',
self._get_ac_frequency_min,
self._set_ac_frequency_min)
self._add_method('ac.configure_bandwidth',
self._ac_configure_bandwidth)
def _get_ac_frequency_max(self):
return self._ac_frequency_max
def _set_ac_frequency_max(self, value):
value = float(value)
self._ac_frequency_max = value
def _get_ac_frequency_min(self):
return self._ac_frequency_min
def _set_ac_frequency_min(self, value):
value = float(value)
self._ac_frequency_min = value
def _ac_configure_bandwidth(self, min_f, max_f):
self._set_ac_frequency_min(min_f)
self._set_ac_frequency_max(max_f)
class FrequencyMeasurement(ivi.IviContainer):
"Extension IVI methods for DMMs that can take frequency measurements"
def __init__(self, *args, **kwargs):
super(FrequencyMeasurement, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'FrequencyMeasurement'
ivi.add_group_capability(self, cls+grp)
self._frequency_voltage_range = 1
self._frequency_voltage_range_auto = False
self._add_property('frequency.voltage_range',
self._get_frequency_voltage_range,
self._set_frequency_voltage_range)
self._add_property('frequency.voltage_range_auto',
self._get_frequency_voltage_range_auto,
self._set_frequency_voltage_range_auto)
def _get_frequency_range(self):
return self._frequency_range
def _set_frequency_range(self, value):
value = float(value)
self._frequency_range = value
def _get_frequency_range_auto(self):
return self._frequency_range_auto
def _set_frequency_range_auto(self, value):
value = bool(value)
self._frequency_range_auto = value
class TemperatureMeasurement(ivi.IviContainer):
"Extension IVI methods for DMMs that can take temperature measurements"
def __init__(self, *args, **kwargs):
super(TemperatureMeasurement, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'TemperatureMeasurement'
ivi.add_group_capability(self, cls+grp)
self._temperature_transducer_type = ''
self._add_property('temperature.transducer_type',
self._get_temperature_transducer_type,
self._set_temperature_transducer_type)
def _get_temperature_transducer_type(self):
return self._temperature_transducer_type
def _set_temperature_transducer_type(self, value):
if value not in TemperatureTransducerType:
raise ivi.ValueNotSupportedException()
self._temperature_transducer_type = value
class Thermocouple(ivi.IviContainer):
"Extension IVI methods for DMMs that can take temperature measurements using a thermocouple"
def __init__(self, *args, **kwargs):
super(Thermocouple, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'Thermocouple'
ivi.add_group_capability(self, cls+grp)
self._thermocouple_fixed_reference_junction = 25.0
self._thermocouple_reference_junction_type = ''
self._thermocouple_type = ''
self._add_property('thermocouple.fixed_reference_junction',
self._get_thermocouple_fixed_reference_junction,
self._set_thermocouple_fixed_reference_junction)
self._add_property('thermocouple.reference_junction_type',
self._get_thermocouple_reference_junction_type,
self._set_thermocouple_reference_junction_type)
self._add_property('thermocouple.type',
self._get_thermocouple_type,
self._set_thermocouple_type)
self._add_method('thermocouple.configure',
self._thermocouple_configure)
def _get_thermocouple_fixed_reference_junction(self):
return self._thermocouple_fixed_reference_junction
def _set_thermocouple_fixed_reference_junction(self, value):
value = float(value)
self._thermocouple_fixed_reference_junction = value
def _get_thermocouple_reference_junction_type(self):
return self._thermocouple_reference_junction_type
def _set_thermocouple_reference_junction_type(self, value):
if value not in ThermocoupleReferenceJunctionType:
raise ivi.ValueNotSupportedException()
self._thermocouple_reference_junction_type = value
def _get_thermocouple_type(self):
return self._thermocouple_type
def _set_thermocouple_type(self, value):
if value not in ThermocoupleType:
raise ivi.ValueNotSupportedException()
self._thermocouple_type = value
def _thermocouple_configure(self, thermocouple_type, reference_junction_type):
self._set_thermocouple_type(thermocouple_type)
self._set_thermocouple_reference_junction_type(reference_junction_type)
class ResistanceTemperatureDevice(ivi.IviContainer):
"Extension IVI methods for DMMs that can take temperature measurements using a resistance temperature device (RTD)"
def __init__(self, *args, **kwargs):
super(ResistanceTemperatureDevice, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'ResistanceTemperatureDevice'
ivi.add_group_capability(self, cls+grp)
self._rtd_alpha = 0.00385
self._rtd_resistance = 100
self._add_property('rtd.alpha',
self._get_rtd_alpha,
self._set_rtd_alpha)
self._add_property('rtd.resistance',
self._get_rtd_resistance,
self._set_rtd_resistance)
self._add_method('rtd.configure',
self._rtd_configure)
def _get_rtd_alpha(self):
return self._rtd_alpha
def _set_rtd_alpha(self, value):
value = float(value)
self._rtd_alpha = value
def _get_rtd_resistance(self):
return self._rtd_resistance
def _set_rtd_resistance(self, value):
value = float(value)
self._rtd_resistance = value
def _rtd_configure(self, alpha, resistance):
self._set_rtd_alpha(alpha)
self._set_rtd_resistance(resistance)
class Thermistor(ivi.IviContainer):
"Extension IVI methods for DMMs that can take temperature measurements using a thermistor"
def __init__(self, *args, **kwargs):
super(Thermistor, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'Thermistor'
ivi.add_group_capability(self, cls+grp)
self._thermistor_resistance = 10000
self._add_property('thermistor.resistance',
self._get_thermistor_resistance,
self._set_thermistor_resistance)
def _get_thermistor_resistance(self):
return self._thermistor_resistance
def _set_thermistor_resistance(self, value):
value = float(value)
self._thermistor_resistance = value
class MultiPoint(ivi.IviContainer):
"Extension IVI methods for DMMs capable of acquiring measurements based on multiple triggers"
def __init__(self, *args, **kwargs):
super(MultiPoint, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'MultiPoint'
ivi.add_group_capability(self, cls+grp)
self._trigger_measurement_complete_destination = ""
self._trigger_multi_point_sample_count = 1
self._trigger_multi_point_sample_interval = 1.0
self._trigger_multi_point_sample_trigger = ""
self._trigger_multi_point_count = 1
self._add_property('trigger.measurement_complete_destination',
self._get_trigger_measurement_complete_destination,
self._set_trigger_measurement_complete_destination)
self._add_property('trigger.multi_point.sample_count',
self._get_trigger_multi_point_sample_count,
self._set_trigger_multi_point_sample_count)
self._add_property('trigger.multi_point.sample_interval',
self._get_trigger_multi_point_sample_interval,
self._set_trigger_multi_point_sample_interval)
self._add_property('trigger.multi_point.sample_trigger',
self._get_trigger_multi_point_sample_trigger,
self._set_trigger_multi_point_sample_trigger)
self._add_property('trigger.multi_point.count',
self._get_trigger_multi_point_count,
self._set_trigger_multi_point_count)
self._add_method('trigger.multi_point.configure',
self._trigger_multi_point_configure)
self._add_method('measurement.fetch_multi_point',
self._measurement_fetch_multi_point)
self._add_method('measurement.read_multi_point',
self._measurement_read_multi_point)
def _get_trigger_measurement_complete_destination(self):
return self._trigger_measurement_complete_destination
def _set_trigger_measurement_complete_destination(self, value):
value = str(value)
self._trigger_measurement_complete_destination = value
def _get_trigger_multi_point_sample_count(self):
return self._trigger_multi_point_sample_count
def _set_trigger_multi_point_sample_count(self, value):
value = int(value)
self._trigger_multi_point_sample_count = value
def _get_trigger_multi_point_sample_interval(self):
return self._trigger_multi_point_sample_interval
def _set_trigger_multi_point_sample_interval(self, value):
value = int(value)
self._trigger_multi_point_sample_interval = value
def _get_trigger_multi_point_sample_trigger(self):
return self._trigger_multi_point_sample_trigger
def _set_trigger_multi_point_sample_trigger(self, value):
value = str(value)
self._trigger_multi_point_sample_trigger = value
def _get_trigger_multi_point_count(self):
return self._trigger_multi_point_count
def _set_trigger_multi_point_count(self, value):
value = int(value)
self._trigger_multi_point_count = value
def _trigger_multi_point_configure(self, trigger_count, sample_count, sample_trigger, sample_interval):
self._set_trigger_multi_point_count(trigger_count)
self._set_trigger_multi_point_sample_count(sample_count)
self._set_trigger_multi_point_sample_trigger(sample_trigger)
self._set_trigger_multi_point_sample_interval(sample_interval)
def _measurement_fetch_multi_point(self, max_time, num_of_measurements = 0):
pass
def _measurement_read_multi_point(self, max_time, num_of_measurements = 0):
pass
class TriggerSlope(ivi.IviContainer):
"Extension IVI methods for DMMs that can specify the polarity of the external trigger signal"
def __init__(self, *args, **kwargs):
super(TriggerSlope, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'TriggerSlope'
ivi.add_group_capability(self, cls+grp)
self._trigger_slope = 'positive'
self._add_property('trigger.slope',
self._get_trigger_slope,
self._set_trigger_slope)
def _get_trigger_slope(self):
return self._trigger_slope
def _set_trigger_slope(self, value):
if value not in Slope:
raise ivi.ValueNotSupportedException()
self._trigger_slope = value
class SoftwareTrigger(ivi.IviContainer):
"Extension IVI methods for DMMs that can initiate a measurement based on a software trigger signal"
def __init__(self, *args, **kwargs):
super(SoftwareTrigger, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'SoftwareTrigger'
ivi.add_group_capability(self, cls+grp)
self._add_method('send_software_trigger',
self._send_software_trigger,
ivi.Doc("""
This function sends a software-generated trigger to the instrument. It is
only applicable for instruments using interfaces or protocols which
support an explicit trigger function. For example, with GPIB this function
could send a group execute trigger to the instrument. Other
implementations might send a ``*TRG`` command.
Since instruments interpret a software-generated trigger in a wide variety
of ways, the precise response of the instrument to this trigger is not
defined. Note that SCPI details a possible implementation.
This function should not use resources which are potentially shared by
other devices (for example, the VXI trigger lines). Use of such shared
resources may have undesirable effects on other devices.
This function should not check the instrument status. Typically, the
end-user calls this function only in a sequence of calls to other
low-level driver functions. The sequence performs one operation. The
end-user uses the low-level functions to optimize one or more aspects of
interaction with the instrument. To check the instrument status, call the
appropriate error query function at the conclusion of the sequence.
The trigger source attribute must accept Software Trigger as a valid
setting for this function to work. If the trigger source is not set to
Software Trigger, this function does nothing and returns the error Trigger
Not Software.
""", cls, grp, '13.2.1', 'send_software_trigger'))
def _send_software_trigger(self):
pass
class DeviceInfo(ivi.IviContainer):
"A set of read-only attributes for DMMs that can be queried to determine how they are presently configured"
def __init__(self, *args, **kwargs):
super(DeviceInfo, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'DeviceInfo'
ivi.add_group_capability(self, cls+grp)
self._advanced_aperture_time = 1.0
self._advanced_aperture_time_units = 'seconds'
self._add_property('advanced.aperture_time',
self._get_advanced_aperture_time)
self._add_property('advanced.aperture_time_units',
self._get_advanced_aperture_time_units)
def _get_advanced_aperture_time(self):
return self._advanced_aperture_time
def _get_advanced_aperture_time_units(self):
return self._advanced_aperture_time_units
class AutoRangeValue(ivi.IviContainer):
"Extension IVI methods for DMMs that can return the actual range value when auto ranging"
def __init__(self, *args, **kwargs):
super(AutoRangeValue, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'AutoRangeValue'
ivi.add_group_capability(self, cls+grp)
self._advanced_actual_range = 1.0
self._add_property('advanced.actual_range',
self._get_advanced_actual_range)
def _get_advanced_actual_range(self):
return self._advanced_actual_range
class AutoZero(ivi.IviContainer):
"Extension IVI methods for DMMs that can take an auto zero reading"
def __init__(self, *args, **kwargs):
super(AutoZero, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'AutoZero'
ivi.add_group_capability(self, cls+grp)
self._advanced_auto_zero = 'off'
self._add_property('advanced.auto_zero',
self._get_advanced_auto_zero,
self._set_advanced_auto_zero)
def _get_advanced_auto_zero(self):
return self._advanced_auto_zero
def _set_advanced_auto_zero(self, value):
if value not in Auto:
return ivi.ValueNotSupportedException
self._advanced_auto_zero = value
class PowerLineFrequency(ivi.IviContainer):
"Extension IVI methods for DMMs that can specify the power line frequency"
def __init__(self, *args, **kwargs):
super(PowerLineFrequency, self).__init__(*args, **kwargs)
cls = 'IviDmm'
grp = 'PowerLineFrequency'
ivi.add_group_capability(self, cls+grp)
self._advanced_power_line_frequency = 60.0
self._add_property('advanced.power_line_frequency',
self._get_advanced_power_line_frequency,
self._set_advanced_power_line_frequency)
def _get_advanced_power_line_frequency(self):
return self._advanced_power_line_frequency
def _set_advanced_power_line_frequency(self, value):
value = float(value)
self._advanced_power_line_frequency = value
|
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from django.conf import settings
from django.contrib.auth.decorators import user_passes_test
from django.contrib.auth.models import Group, Permission
from rest_framework import permissions
SURVEY_ADMINS = "Survey Admins" # Name of the group containing survey admins.
def get_or_create_survey_admins_group(apps=None, schema_editor=None):
"""Creates the 'Survey Admins' Group, and adds the appropriate
permissions.
This accepts `apps` and `schema_editor` arguments so it can be called
from a Migration.
NOTE that this functions attempts to be idempotent, so new permissions
will not be created if the Group already exists.
"""
group, created = Group.objects.get_or_create(name=SURVEY_ADMINS)
if created:
# Should have all of the survey-related permissions
for p in Permission.objects.filter(content_type__app_label="survey"):
group.permissions.add(p)
return group
class IsOwner(permissions.BasePermission):
"""This permission checks that the authenticated user is the owner a given
object. For this to work, the object MUST have a `user` attribute.
"""
def has_object_permission(self, request, view, obj):
try:
return request.user.is_authenticated() and obj.user == request.user
except AttributeError:
return False
def is_survey_admin(user):
"""Verifies that a user is authenticated and a super user."""
if not user.is_authenticated():
return False
if user.is_superuser or user.is_staff:
return True
return user.groups.filter(name=SURVEY_ADMINS).exists()
class SurveyAdminsMixin(object):
"""A Mixin that requires the user to be in a "Survey Admins" Group."""
@classmethod
def as_view(cls, **initkwargs):
view = super(SurveyAdminsMixin, cls).as_view(**initkwargs)
dec = user_passes_test(is_survey_admin, login_url=settings.LOGIN_URL)
return dec(view)
|
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class IScalable:
def __init__(self):
pass
def scale(self, scale):
# type: (float) -> None
pass
|
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from setuptools import setup
setup(name='boostaroota',
version='1.2.0.b',
description='A Fast XGBoost Feature Selection Algorithm',
url='http://github.com/chasedehan/BoostARoota',
author='Chase DeHan',
author_email='chasedehan@yahoo.com',
license='MIT',
packages=['boostaroota'],
zip_safe=False, install_requires=['numpy','pandas', 'xgboost'])
|
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"""Contains a factory for building various models."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import tensorflow as tf
from nets import resnet_v1
from nets import resnet_v2
slim = tf.contrib.slim
networks_map = {'resnet_v1_50': resnet_v1.resnet_v1_50,
'resnet_v1_101': resnet_v1.resnet_v1_101,
'resnet_v1_152': resnet_v1.resnet_v1_152,
'resnet_v1_200': resnet_v1.resnet_v1_200,
'resnet_v2_50': resnet_v2.resnet_v2_50,
'resnet_v2_101': resnet_v2.resnet_v2_101,
'resnet_v2_152': resnet_v2.resnet_v2_152,
'resnet_v2_200': resnet_v2.resnet_v2_200
}
arg_scopes_map = {'resnet_v1_50': resnet_v1.resnet_arg_scope,
'resnet_v1_101': resnet_v1.resnet_arg_scope,
'resnet_v1_152': resnet_v1.resnet_arg_scope,
'resnet_v1_200': resnet_v1.resnet_arg_scope,
'resnet_v2_50': resnet_v2.resnet_arg_scope,
'resnet_v2_101': resnet_v2.resnet_arg_scope,
'resnet_v2_152': resnet_v2.resnet_arg_scope,
'resnet_v2_200': resnet_v2.resnet_arg_scope
}
def get_network_fn(name, num_classes, weight_decay=0.0, is_training=False):
"""Returns a network_fn such as `logits, end_points = network_fn(images)`.
Args:
name: The name of the network.
num_classes: The number of classes to use for classification. If 0 or None,
the logits layer is omitted and its input features are returned instead.
weight_decay: The l2 coefficient for the model weights.
is_training: `True` if the model is being used for training and `False`
otherwise.
Returns:
network_fn: A function that applies the model to a batch of images. It has
the following signature:
net, end_points = network_fn(images)
The `images` input is a tensor of shape [batch_size, height, width, 3]
with height = width = network_fn.default_image_size. (The permissibility
and treatment of other sizes depends on the network_fn.)
The returned `end_points` are a dictionary of intermediate activations.
The returned `net` is the topmost layer, depending on `num_classes`:
If `num_classes` was a non-zero integer, `net` is a logits tensor
of shape [batch_size, num_classes].
If `num_classes` was 0 or `None`, `net` is a tensor with the input
to the logits layer of shape [batch_size, 1, 1, num_features] or
[batch_size, num_features]. Dropout has not been applied to this
(even if the network's original classification does); it remains for
the caller to do this or not.
Raises:
ValueError: If network `name` is not recognized.
"""
if name not in networks_map:
raise ValueError('Name of network unknown %s' % name)
func = networks_map[name]
@functools.wraps(func)
def network_fn(images, **kwargs):
arg_scope = arg_scopes_map[name](weight_decay=weight_decay)
with slim.arg_scope(arg_scope):
return func(images, num_classes=num_classes, is_training=is_training,
**kwargs)
if hasattr(func, 'default_image_size'):
network_fn.default_image_size = func.default_image_size
return network_fn
|
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from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('benchmark', '0021_benchmarkdefinitionentry_max_benchmark_date'),
]
operations = [
migrations.AlterField(
model_name='benchmarkdefinitionentry',
name='max_benchmark_date',
field=models.DateTimeField(default=datetime.datetime(1970, 1, 1, 0, 0, 0, 0, tzinfo=datetime.timezone.utc)),
),
]
|
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from djangoproject.settings import *
DEBUG=True
TEMPLATE_DEBUG=DEBUG
|
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"""Runs the Web Search benchmark of Cloudsuite.
More info: http://cloudsuite.ch/websearch/
"""
import re
from perfkitbenchmarker import configs
from perfkitbenchmarker import flags
from perfkitbenchmarker import sample
from perfkitbenchmarker import vm_util
from perfkitbenchmarker.linux_packages import docker
FLAGS = flags.FLAGS
flags.DEFINE_string('cloudsuite_web_search_server_heap_size',
'3g',
'Java heap size for Solr server in the usual java format.')
flags.DEFINE_integer('cloudsuite_web_search_ramp_up',
90,
'Benchmark ramp up time in seconds.',
lower_bound=1)
flags.DEFINE_integer('cloudsuite_web_search_ramp_down',
60,
'Benchmark ramp down time in seconds.',
lower_bound=1)
flags.DEFINE_integer('cloudsuite_web_search_steady_state',
60,
'Benchmark steady state time in seconds.',
lower_bound=1)
flags.DEFINE_integer('cloudsuite_web_search_scale',
50,
'Number of simulated web search users.',
lower_bound=1)
BENCHMARK_NAME = 'cloudsuite_web_search'
BENCHMARK_CONFIG = """
cloudsuite_web_search:
description: >
Run Cloudsuite Web Search benchmark. Specify the number of
clients with --num_vms.
vm_groups:
servers:
vm_spec: *default_single_core
disk_spec: *default_500_gb
clients:
vm_spec: *default_single_core
vm_count: 1
"""
DISK_PATH = '/scratch'
def GetConfig(user_config):
config = configs.LoadConfig(BENCHMARK_CONFIG, user_config, BENCHMARK_NAME)
if FLAGS['num_vms'].present:
config['vm_groups']['clients']['vm_count'] = FLAGS.num_vms
return config
def Prepare(benchmark_spec):
"""Install docker. Pull the required images from DockerHub.
Start Solr index node and client.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
servers = benchmark_spec.vm_groups['servers'][0]
clients = benchmark_spec.vm_groups['clients']
def PrepareCommon(vm):
if not docker.IsInstalled(vm):
vm.Install('docker')
def PrepareServer(vm):
PrepareCommon(vm)
server_cmd = ('sudo echo \'DOCKER_OPTS="-g %s"\''
'| sudo tee /etc/default/docker > /dev/null' % (DISK_PATH))
stdout, _ = vm.RemoteCommand(server_cmd, should_log=True)
server_cmd = 'sudo service docker restart'
stdout, _ = vm.RemoteCommand(server_cmd, should_log=True)
vm.RemoteCommand('sudo docker pull cloudsuite/web-search:server')
server_cmd = ('sudo docker run -d --net host '
'--name server cloudsuite/web-search:server %s 1' %
(FLAGS.cloudsuite_web_search_server_heap_size))
stdout, _ = servers.RemoteCommand(server_cmd, should_log=True)
def PrepareClient(vm):
PrepareCommon(vm)
vm.RemoteCommand('sudo docker pull cloudsuite/web-search:client')
PrepareServer(servers)
target_arg_tuples = ([(PrepareClient, [vm], {}) for vm in clients])
vm_util.RunParallelThreads(target_arg_tuples, len(target_arg_tuples))
def Run(benchmark_spec):
"""Run the Web Search benchmark.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
clients = benchmark_spec.vm_groups['clients'][0]
servers = benchmark_spec.vm_groups['servers'][0]
benchmark_cmd = ('sudo docker run --rm --net host --name client '
'cloudsuite/web-search:client %s %d %d %d %d ' %
(servers.internal_ip,
FLAGS.cloudsuite_web_search_scale,
FLAGS.cloudsuite_web_search_ramp_up,
FLAGS.cloudsuite_web_search_steady_state,
FLAGS.cloudsuite_web_search_ramp_down))
stdout, _ = clients.RemoteCommand(benchmark_cmd, should_log=True)
ops_per_sec = re.findall(r'\<metric unit="ops/sec"\>(\d+\.?\d*)', stdout)
num_ops_per_sec = float(ops_per_sec[0])
p90 = re.findall(r'\<p90th\>(\d+\.?\d*)', stdout)
num_p90 = float(p90[0])
p99 = re.findall(r'\<p99th\>(\d+\.?\d*)', stdout)
num_p99 = float(p99[0])
results = []
results.append(sample.Sample('Operations per second', num_ops_per_sec,
'ops/s'))
results.append(sample.Sample('90th percentile latency', num_p90, 's'))
results.append(sample.Sample('99th percentile latency', num_p99, 's'))
return results
def Cleanup(benchmark_spec):
"""Stop and remove docker containers. Remove images.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
"""
servers = benchmark_spec.vm_groups['servers'][0]
clients = benchmark_spec.vm_groups['clients']
def CleanupClient(vm):
vm.RemoteCommand('sudo docker stop client')
vm.RemoteCommand('sudo docker rm client')
vm.RemoteCommand('sudo docker rmi cloudsuite/web-search:client')
def CleanupServer(vm):
vm.RemoteCommand('sudo docker stop server')
vm.RemoteCommand('sudo docker rm server')
vm.RemoteCommand('sudo docker rmi cloudsuite/web-search:server')
target_arg_tuples = ([(CleanupClient, [vm], {}) for vm in clients] +
[(CleanupServer, [servers], {})])
vm_util.RunParallelThreads(target_arg_tuples, len(target_arg_tuples))
|
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"""
Django settings for backend project.
Generated by 'django-admin startproject' using Django 1.8.9.
For more information on this file, see
https://docs.djangoproject.com/en/1.8/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.8/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '(%b*z2xmx-!7-mnl)7uzha)gg9_1b@f%pa%6!+z!^aa!z!q@2c'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'corsheaders', # dependency! needed for ajax request from anywhere
'communication',
'server',
'statistics',
'utils'
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'corsheaders.middleware.CorsMiddleware',
'django.middleware.common.CommonMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
'django.middleware.security.SecurityMiddleware',
)
ROOT_URLCONF = 'egsdsm_backend.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'egsdsm_backend.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.8/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'D:/python/EGS-DSM/core/test.db',
}
}
# DATABASES = {
# 'default': {
# 'ENGINE': 'django.db.backends.mysql',
# 'NAME': 'egsdsm',
# 'USER': 'egsdsm',
# 'PASSWORD': '123QWErty',
# 'HOST': '127.0.0.1'
# }
# }
# Internationalization
# https://docs.djangoproject.com/en/1.8/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.8/howto/static-files/
STATIC_URL = '/static/'
CORS_ORIGIN_ALLOW_ALL = True
CORS_ALLOW_CREDENTIALS = True
# ==============================================
SOCKET_CONNECTION = ('localhost', 42404)
|
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""" crypto.keyedHash.pbkdf2
Password Based Key Derivation Function 2
References: RFC2898, B. Kaliski, September 2000, PKCS #5
This function is used for IEEE 802.11/WPA passphrase to key hashing
Copyright (c) 2002 by Paul A. Lambert
Read LICENSE.txt for license information.
"""
from crypto.keyedHash.hmacHash import HMAC_SHA1
from crypto.common import xor
from math import ceil
from struct import pack
def pbkdf2(password, salt, iterations, keySize, PRF=HMAC_SHA1):
""" Create key of size keySize from password and salt """
if len(password)>63:
raise 'Password too long for pbkdf2'
#if len(password)<8 : raise 'Password too short for pbkdf2'
if (keySize > 10000): # spec says >4294967295L*digestSize
raise 'keySize too long for PBKDF2'
prf = PRF(key=password) # HMAC_SHA1
numBlocks = ceil(1.*keySize/prf.digest_size) # ceiling function
key = ''
for block in range(1,numBlocks+1):
# Calculate F(P, salt, iterations, i)
F = prf(salt+pack('>i',block)) # i is packed into 4 big-endian bytes
U = prf(salt+pack('>i',block)) # i is packed into 4 big-endian bytes
for count in range(2,iterations+1):
U = prf(U)
F = xor(F,U)
key = key + F
return key[:keySize]
def dot11PassPhraseToPSK(passPhrase,ssid):
""" The 802.11 TGi recommended pass-phrase-to-preshared-key mapping.
This function simply uses pbkdf2 with interations=4096 and keySize=32
"""
assert( 7<len(passPhrase)<64 ), 'Passphrase must be greater than 7 or less than 64 characters'
return pbkdf2(passPhrase, ssid, iterations=4096, keySize=32)
|
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from Kamaelia.File.Writing import SimpleFileWriter
from Kamaelia.Chassis.Graphline import Graphline
from Kamaelia.Chassis.Carousel import Carousel
from Axon.Component import component
import IRCClient
import formatters
from IRCClient import SimpleIRCClientPrefab
import time, os
class SimpleReloader(component):
Outboxes = {"irc" : "to IRC, for user responses and login",
"outbox" : "What we're interested in, the traffic over the channel",
"system" : "Messages directed toward the client, numeric replies, etc.",
"signal" : "Shutdown handling in the future",
}
def __init__(self, channel='#kamtest', name="reloadbot"):
"""x.__init__(...) initializes x; see x.__class__.__doc__ for signature"""
super(SimpleReloader, self).__init__()
self.channel = channel
self.name = name
self.debugger.addDebugSection("SimpleReloader.main", 0)
def login(self):
"""registers with the IRC server"""
self.send(("NICK", self.name), "irc")
self.send(("USER", self.name, self.name, self.name, self.name), "irc")
self.send(("PRIVMSG", 'nickserv', "identify abc123"), "irc")
self.send(("JOIN", self.channel), "irc")
def main(self):
"""Main loop"""
self.login()
yield 1
while True:
yield 1
while self.dataReady("inbox"):
data = self.recv("inbox")
if (data[2] == self.channel or data[0] == 'NICK'):
self.doStuff(data)
def doStuff(self, msg):
if msg[0] == 'PRIVMSG' and msg[3].split(':')[0] == self.name:
words = msg[3].split()[1:]
if words[0] == 'reload' and len(words) > 1:
try:
exec("reload(%s)" % words[1])
except (NameError, TypeError):
self.send("'%s' not a module\n" % words[1], "irc")
formatted = formatters.outformat(msg, defaultChannel=self.channel)
self.send(formatted)
from Kamaelia.Chassis.Pipeline import Pipeline
from Kamaelia.Util.Console import ConsoleEchoer
Graphline(irc = SimpleIRCClientPrefab('irc.freenode.net', 6667),
reloader = SimpleReloader(),
cons = ConsoleEchoer(),
linkages = {("reloader", "irc") : ("irc", "inbox"),
("irc", "outbox") : ("reloader", "inbox"),
("reloader", "outbox") : ("cons", "inbox"),
}
).run()
|
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"""The tests for local file sensor platform."""
import pytest
from homeassistant.const import STATE_UNKNOWN
from homeassistant.setup import async_setup_component
from tests.async_mock import Mock, mock_open, patch
from tests.common import mock_registry
@pytest.fixture
def entity_reg(hass):
"""Return an empty, loaded, registry."""
return mock_registry(hass)
@patch("os.path.isfile", Mock(return_value=True))
@patch("os.access", Mock(return_value=True))
async def test_file_value(hass, entity_reg):
"""Test the File sensor."""
config = {
"sensor": {"platform": "file", "name": "file1", "file_path": "mock.file1"}
}
m_open = mock_open(read_data="43\n45\n21")
with patch(
"homeassistant.components.file.sensor.open", m_open, create=True
), patch.object(hass.config, "is_allowed_path", return_value=True):
assert await async_setup_component(hass, "sensor", config)
await hass.async_block_till_done()
state = hass.states.get("sensor.file1")
assert state.state == "21"
@patch("os.path.isfile", Mock(return_value=True))
@patch("os.access", Mock(return_value=True))
async def test_file_value_template(hass, entity_reg):
"""Test the File sensor with JSON entries."""
config = {
"sensor": {
"platform": "file",
"name": "file2",
"file_path": "mock.file2",
"value_template": "{{ value_json.temperature }}",
}
}
data = '{"temperature": 29, "humidity": 31}\n' '{"temperature": 26, "humidity": 36}'
m_open = mock_open(read_data=data)
with patch(
"homeassistant.components.file.sensor.open", m_open, create=True
), patch.object(hass.config, "is_allowed_path", return_value=True):
assert await async_setup_component(hass, "sensor", config)
await hass.async_block_till_done()
state = hass.states.get("sensor.file2")
assert state.state == "26"
@patch("os.path.isfile", Mock(return_value=True))
@patch("os.access", Mock(return_value=True))
async def test_file_empty(hass, entity_reg):
"""Test the File sensor with an empty file."""
config = {"sensor": {"platform": "file", "name": "file3", "file_path": "mock.file"}}
m_open = mock_open(read_data="")
with patch(
"homeassistant.components.file.sensor.open", m_open, create=True
), patch.object(hass.config, "is_allowed_path", return_value=True):
assert await async_setup_component(hass, "sensor", config)
await hass.async_block_till_done()
state = hass.states.get("sensor.file3")
assert state.state == STATE_UNKNOWN
|
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from django.conf import settings
import codelabs.config as config
def configurations(request):
return {
'DISCOURSE_FLAG': config.DISCOURSE_FLAG,
'DISCOURSE_URL' : config.DISCOURSE_URL
}
|
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"""A matplotlib backend for publishing figures via display_data"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import matplotlib
from matplotlib.backends.backend_agg import new_figure_manager, FigureCanvasAgg # analysis: ignore
from matplotlib._pylab_helpers import Gcf
from IPython.core.getipython import get_ipython
from IPython.core.display import display
from .config import InlineBackend
def show(close=None):
"""Show all figures as SVG/PNG payloads sent to the IPython clients.
Parameters
----------
close : bool, optional
If true, a ``plt.close('all')`` call is automatically issued after
sending all the figures. If this is set, the figures will entirely
removed from the internal list of figures.
"""
if close is None:
close = InlineBackend.instance().close_figures
try:
for figure_manager in Gcf.get_all_fig_managers():
display(figure_manager.canvas.figure)
finally:
show._to_draw = []
# only call close('all') if any to close
# close triggers gc.collect, which can be slow
if close and Gcf.get_all_fig_managers():
matplotlib.pyplot.close('all')
# This flag will be reset by draw_if_interactive when called
show._draw_called = False
# list of figures to draw when flush_figures is called
show._to_draw = []
def draw_if_interactive():
"""
Is called after every pylab drawing command
"""
# signal that the current active figure should be sent at the end of
# execution. Also sets the _draw_called flag, signaling that there will be
# something to send. At the end of the code execution, a separate call to
# flush_figures() will act upon these values
manager = Gcf.get_active()
if manager is None:
return
fig = manager.canvas.figure
# Hack: matplotlib FigureManager objects in interacive backends (at least
# in some of them) monkeypatch the figure object and add a .show() method
# to it. This applies the same monkeypatch in order to support user code
# that might expect `.show()` to be part of the official API of figure
# objects.
# For further reference:
# https://github.com/ipython/ipython/issues/1612
# https://github.com/matplotlib/matplotlib/issues/835
if not hasattr(fig, 'show'):
# Queue up `fig` for display
fig.show = lambda *a: display(fig)
# If matplotlib was manually set to non-interactive mode, this function
# should be a no-op (otherwise we'll generate duplicate plots, since a user
# who set ioff() manually expects to make separate draw/show calls).
if not matplotlib.is_interactive():
return
# ensure current figure will be drawn, and each subsequent call
# of draw_if_interactive() moves the active figure to ensure it is
# drawn last
try:
show._to_draw.remove(fig)
except ValueError:
# ensure it only appears in the draw list once
pass
# Queue up the figure for drawing in next show() call
show._to_draw.append(fig)
show._draw_called = True
def flush_figures():
"""Send all figures that changed
This is meant to be called automatically and will call show() if, during
prior code execution, there had been any calls to draw_if_interactive.
This function is meant to be used as a post_execute callback in IPython,
so user-caused errors are handled with showtraceback() instead of being
allowed to raise. If this function is not called from within IPython,
then these exceptions will raise.
"""
if not show._draw_called:
return
if InlineBackend.instance().close_figures:
# ignore the tracking, just draw and close all figures
try:
return show(True)
except Exception as e:
# safely show traceback if in IPython, else raise
ip = get_ipython()
if ip is None:
raise e
else:
ip.showtraceback()
return
try:
# exclude any figures that were closed:
active = set([fm.canvas.figure for fm in Gcf.get_all_fig_managers()])
for fig in [ fig for fig in show._to_draw if fig in active ]:
try:
display(fig)
except Exception as e:
# safely show traceback if in IPython, else raise
ip = get_ipython()
if ip is None:
raise e
else:
ip.showtraceback()
return
finally:
# clear flags for next round
show._to_draw = []
show._draw_called = False
# Changes to matplotlib in version 1.2 requires a mpl backend to supply a default
# figurecanvas. This is set here to a Agg canvas
# See https://github.com/matplotlib/matplotlib/pull/1125
FigureCanvas = FigureCanvasAgg
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"size": "5009",
"binary": false,
"copies": "4",
"ref": "refs/heads/master",
"path": "env/lib/python3.4/site-packages/IPython/kernel/zmq/pylab/backend_inline.py",
"mode": "33188",
"license": "mit",
"language": [
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"name": "C",
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"name": "JavaScript",
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"name": "Python",
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"name": "Shell",
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"name": "Smarty",
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}
],
"symlink_target": ""
}
|
from conans import ConanFile
from llvmpackage import *
from llvmcomponentpackage import *
from llvmmodulepackage import *
class LLVMCommon(ConanFile):
name = 'llvm-common'
version = '0.0.0'
url = 'http://gitlab.com/henning/clang-conan-packages'
license = 'MIT'
description = 'Common package recipes for LLVM packages'
exports = '*.py'
|
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|
"Tests for preview/save views."
from __future__ import unicode_literals
import json
from datetime import date
from django.contrib.auth.models import Permission, User
from django.contrib.contenttypes.models import ContentType
from django.core.urlresolvers import reverse
from . import DaysLog
from .base import ScribblerDataTestCase, Scribble
class BaseViewTestCase(ScribblerDataTestCase):
"Common functionality for testing views."
urls = "scribbler.tests.urls"
def setUp(self):
self.user = self.create_user(username='test', password='test')
self.client.login(username='test', password='test')
self.change_perm = Permission.objects.get(
codename='change_scribble',
content_type__app_label='scribbler',
content_type__model='scribble',
)
self.add_perm = Permission.objects.get(
codename='add_scribble',
content_type__app_label='scribbler',
content_type__model='scribble',
)
self.delete_perm = Permission.objects.get(
codename='delete_scribble',
content_type__app_label='scribbler',
content_type__model='scribble',
)
self.change_dayslog_perm = Permission.objects.get(
codename='change_dayslog',
content_type__app_label='scribbler',
content_type__model='dayslog',
)
self.user.user_permissions.add(self.change_perm)
self.user.user_permissions.add(self.add_perm)
self.user.user_permissions.add(self.delete_perm)
self.user.user_permissions.add(self.change_dayslog_perm)
class PreviewTestCase(BaseViewTestCase):
"Previewing scribbler content."
def setUp(self):
super(PreviewTestCase, self).setUp()
self.url = reverse('preview-scribble')
def get_valid_data(self):
"Base valid data."
data = {
'slug': 'test',
'url': '/',
'content': '{% now "Y" %}'
}
return data
def test_post_required(self):
"Preview view requires a POST."
response = self.client.get(self.url)
self.assertEqual(response.status_code, 405, "GET should not be allowed.")
def test_valid_response(self):
"Rendered content should be given in the response."
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertTrue(results['valid'])
self.assertFalse('error' in results)
self.assertEqual(results['html'], "{0}".format(date.today().year))
def test_invalid_template(self):
"Debug info should be given if the template content was invalid."
data = self.get_valid_data()
data['content'] = '{% now %}'
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertEqual(results['html'], '')
self.assertEqual(results['error']['line'], 1)
def test_login_required(self):
"Return 403 if user is not authenticated."
self.client.logout()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_permission_required(self):
"Return 403 if user is does not have permissions to preview scribbles."
self.user.user_permissions.remove(self.change_perm)
self.user.user_permissions.remove(self.add_perm)
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_preview_existing(self):
"Preview content for a scribble which exists. See #34."
data = self.get_valid_data()
scribble = self.create_scribble(**data)
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertTrue(results['valid'])
self.assertFalse('error' in results)
class CreateTestCase(BaseViewTestCase):
"Creating a new scribble."
def setUp(self):
super(CreateTestCase, self).setUp()
self.url = reverse('create-scribble')
def get_valid_data(self):
"Base valid data."
data = {
'slug': 'test',
'url': '/',
'content': '{% now "Y" %}'
}
return data
def test_post_required(self):
"Create view requires a POST."
response = self.client.get(self.url)
self.assertEqual(response.status_code, 405, "GET should not be allowed.")
def test_valid_response(self):
"Save new scribble data."
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertTrue(results['valid'])
scribble = Scribble.objects.get(slug=data['slug'], url=data['url'])
self.assertEqual(scribble.content, data['content'])
def test_invalid_template(self):
"Data should not be saved if the template is invalid."
data = self.get_valid_data()
data['content'] = '{% now %}'
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertEqual(Scribble.objects.count(), 0)
def test_login_required(self):
"Return 403 if user is not authenticated."
self.client.logout()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_permission_required(self):
"Return 403 if user is does not have permissions to create scribbles."
self.user.user_permissions.remove(self.add_perm)
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
class EditFieldTestCase(BaseViewTestCase):
"Edit a model instance field via scribbler."
url_name = 'edit-scribble-field'
def setUp(self):
self.days_log = DaysLog.objects.create(happenings=self.get_random_string())
super(EditFieldTestCase, self).setUp()
self.url = reverse(self.url_name, kwargs=self.get_valid_kwargs())
def get_valid_data(self):
data = {
'content': self.get_random_string(),
}
return data
def get_valid_kwargs(self):
return {
'ct_pk': ContentType.objects.get_for_model(self.days_log).pk,
'instance_pk': self.days_log.pk,
'field_name': 'happenings',
}
def test_post_required(self):
"Edit field view requires a POST."
response = self.client.get(self.url)
self.assertEqual(response.status_code, 405, "GET should not be allowed.")
def test_successful_edit(self):
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertTrue(results['valid'])
days_log = DaysLog.objects.get(pk=self.days_log.pk)
self.assertEqual(days_log.happenings, data['content'])
def test_field_validation_failure(self):
data = {
'content': '',
}
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertTrue('error' in results)
err_info = results['error']
self.assertTrue('message' in err_info)
self.assertTrue('required' in err_info['message'], err_info['message'])
user = User.objects.get(pk=self.user.pk)
self.assertEqual(user.username, self.user.username)
def test_model_validation_failure(self):
log2 = DaysLog.objects.create(happenings="Duplicate value")
data = {
'content': log2.happenings,
}
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertTrue('error' in results)
err_info = results['error']
self.assertTrue('message' in err_info)
self.assertTrue('already exists' in err_info['message'], err_info['message'])
user = User.objects.get(pk=self.user.pk)
self.assertEqual(user.username, self.user.username)
def test_invalid_ct_pk(self):
kwargs = self.get_valid_kwargs()
kwargs['ct_pk'] = ContentType.objects.order_by('-id')[0].pk + 1
url = reverse(self.url_name, kwargs=kwargs)
response = self.client.post(url, data=self.get_valid_data())
self.assertEqual(response.status_code, 404)
def test_invalid_instance_pk(self):
kwargs = self.get_valid_kwargs()
kwargs['instance_pk'] = User.objects.order_by('-id')[0].pk + 1
url = reverse(self.url_name, kwargs=kwargs)
response = self.client.post(url, data=self.get_valid_data())
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertTrue('error' in results)
err_info = results['error']
self.assertTrue('message' in err_info)
self.assertTrue('does not exist' in err_info['message'], err_info['message'])
def test_invalid_field_name(self):
kwargs = self.get_valid_kwargs()
kwargs['field_name'] = 'ussserrname'
url = reverse(self.url_name, kwargs=kwargs)
response = self.client.post(url, data=self.get_valid_data())
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
self.assertTrue('error' in results)
err_info = results['error']
self.assertTrue('message' in err_info)
self.assertTrue('has no field named' in err_info['message'], err_info['message'])
def test_login_required(self):
"Return 403 if user is not authenticated."
self.client.logout()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_permission_required(self):
"Return 403 if user is does not have permissions to edit the scribble."
self.user.user_permissions.remove(self.change_dayslog_perm)
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
class EditTestCase(BaseViewTestCase):
"Edit an existing scribble."
def setUp(self):
super(EditTestCase, self).setUp()
self.scribble = self.create_scribble()
self.url = reverse('edit-scribble', kwargs={'scribble_id': self.scribble.pk})
def get_valid_data(self):
"Base valid data."
data = {
'content': '{% now "Y" %}'
}
return data
def test_post_required(self):
"Edit view requires a POST."
response = self.client.get(self.url)
self.assertEqual(response.status_code, 405, "GET should not be allowed.")
def test_valid_response(self):
"Edit an existing scribble."
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertTrue(results['valid'])
scribble = Scribble.objects.get(pk=self.scribble.pk)
self.assertEqual(scribble.content, data['content'])
def test_invalid_template(self):
"Data should not be saved if the template is invalid."
data = self.get_valid_data()
data['content'] = '{% now %}'
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
results = json.loads(response.content.decode('utf-8'))
self.assertFalse(results['valid'])
scribble = Scribble.objects.get(pk=self.scribble.pk)
self.assertNotEqual(scribble.content, data['content'])
def test_invalid_pk(self):
"404 is returned if unknown pk is given."
self.scribble.delete()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 404)
def test_login_required(self):
"Return 403 if user is not authenticated."
self.client.logout()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_permission_required(self):
"Return 403 if user is does not have permissions to edit the scribble."
self.user.user_permissions.remove(self.change_perm)
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
class DeleteTestCase(BaseViewTestCase):
"Delete an existing scribble."
def setUp(self):
super(DeleteTestCase, self).setUp()
self.scribble = self.create_scribble()
self.url = self.scribble.get_delete_url()
def get_valid_data(self):
"Base valid data."
return {}
def test_post_required(self):
"Delete view requires a POST."
response = self.client.get(self.url)
self.assertEqual(response.status_code, 405, "GET should not be allowed.")
def test_valid_response(self):
"Delete an existing scribble."
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 200)
self.assertRaises(Scribble.DoesNotExist, Scribble.objects.get, pk=self.scribble.pk)
def test_invalid_pk(self):
"404 is returned if unknown pk is given."
self.scribble.delete()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 404)
def test_login_required(self):
"Return 403 if user is not authenticated."
self.client.logout()
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
def test_permission_required(self):
"Return 403 if user is does not have permissions to delete the scribble."
self.user.user_permissions.remove(self.delete_perm)
data = self.get_valid_data()
response = self.client.post(self.url, data=data)
self.assertEqual(response.status_code, 403)
|
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from datetime import datetime, timedelta, timezone
import graphene
from django.urls import reverse
from freezegun import freeze_time
from .....account.error_codes import AccountErrorCode
from .....core.jwt import (
JWT_ACCESS_TYPE,
JWT_REFRESH_TYPE,
create_refresh_token,
jwt_decode,
)
from .....core.utils import build_absolute_uri
from ....tests.utils import get_graphql_content
from ...mutations.authentication import _get_new_csrf_token
MUTATION_CREATE_TOKEN = """
mutation tokenCreate($email: String!, $password: String!, $audience: String){
tokenCreate(email: $email, password: $password, audience: $audience) {
token
refreshToken
csrfToken
user {
email
}
errors {
field
message
}
errors {
field
message
code
}
}
}
"""
@freeze_time("2020-03-18 12:00:00")
def test_create_token(api_client, customer_user, settings):
variables = {"email": customer_user.email, "password": customer_user._password}
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
data = content["data"]["tokenCreate"]
user_email = data["user"]["email"]
assert customer_user.email == user_email
assert content["data"]["tokenCreate"]["errors"] == []
token = data["token"]
refreshToken = data["refreshToken"]
payload = jwt_decode(token)
assert payload["email"] == customer_user.email
assert payload["user_id"] == graphene.Node.to_global_id("User", customer_user.id)
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_ACCESS
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_ACCESS_TYPE
payload = jwt_decode(refreshToken)
assert payload["email"] == customer_user.email
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_REFRESH
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_REFRESH_TYPE
assert payload["token"] == customer_user.jwt_token_key
assert payload["iss"] == build_absolute_uri(reverse("api"))
@freeze_time("2020-03-18 12:00:00")
def test_create_token_with_audience(api_client, customer_user, settings):
audience = "dashboard"
variables = {
"email": customer_user.email,
"password": customer_user._password,
"audience": audience,
}
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
data = content["data"]["tokenCreate"]
user_email = data["user"]["email"]
assert customer_user.email == user_email
assert content["data"]["tokenCreate"]["errors"] == []
token = data["token"]
refreshToken = data["refreshToken"]
payload = jwt_decode(token)
assert payload["email"] == customer_user.email
assert payload["user_id"] == graphene.Node.to_global_id("User", customer_user.id)
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_ACCESS
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_ACCESS_TYPE
assert payload["aud"] == f"custom:{audience}"
payload = jwt_decode(refreshToken)
assert payload["email"] == customer_user.email
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_REFRESH
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_REFRESH_TYPE
assert payload["token"] == customer_user.jwt_token_key
assert payload["aud"] == f"custom:{audience}"
@freeze_time("2020-03-18 12:00:00")
def test_create_token_sets_cookie(api_client, customer_user, settings, monkeypatch):
csrf_token = _get_new_csrf_token()
monkeypatch.setattr(
"saleor.graphql.account.mutations.authentication._get_new_csrf_token",
lambda: csrf_token,
)
variables = {"email": customer_user.email, "password": customer_user._password}
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
expected_refresh_token = create_refresh_token(
customer_user, {"csrfToken": csrf_token}
)
refresh_token = response.cookies["refreshToken"]
assert refresh_token.value == expected_refresh_token
expected_expires = datetime.utcnow() + settings.JWT_TTL_REFRESH
expected_expires += timedelta(seconds=1)
expires = datetime.strptime(refresh_token["expires"], "%a, %d %b %Y %H:%M:%S %Z")
assert expires == expected_expires
assert refresh_token["httponly"]
assert refresh_token["secure"]
def test_create_token_invalid_password(api_client, customer_user):
variables = {"email": customer_user.email, "password": "wrongpassword"}
expected_error_code = AccountErrorCode.INVALID_CREDENTIALS.value.upper()
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
response_error = content["data"]["tokenCreate"]["errors"][0]
assert response_error["code"] == expected_error_code
assert response_error["field"] == "email"
def test_create_token_invalid_email(api_client, customer_user):
variables = {"email": "wrongemail", "password": "wrongpassword"}
expected_error_code = AccountErrorCode.INVALID_CREDENTIALS.value.upper()
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
response_error = content["data"]["tokenCreate"]["errors"][0]
assert response_error["code"] == expected_error_code
assert response_error["field"] == "email"
def test_create_token_unconfirmed_email(api_client, customer_user):
# given
variables = {"email": customer_user.email, "password": customer_user._password}
customer_user.is_active = False
customer_user.save()
expected_error_code = AccountErrorCode.ACCOUNT_NOT_CONFIRMED.value.upper()
# when
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
response_error = content["data"]["tokenCreate"]["errors"][0]
# then
assert response_error["code"] == expected_error_code
assert response_error["field"] == "email"
def test_create_token_deactivated_user(api_client, customer_user):
# given
variables = {"email": customer_user.email, "password": customer_user._password}
customer_user.is_active = False
customer_user.last_login = datetime(2020, 3, 18, tzinfo=timezone.utc)
customer_user.save()
expected_error_code = AccountErrorCode.INACTIVE.value.upper()
# when
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
response_error = content["data"]["tokenCreate"]["errors"][0]
# then
assert response_error["code"] == expected_error_code
assert response_error["field"] == "email"
@freeze_time("2020-03-18 12:00:00")
def test_create_token_active_user_logged_before(api_client, customer_user, settings):
variables = {"email": customer_user.email, "password": customer_user._password}
customer_user.last_login = datetime(2020, 3, 18, tzinfo=timezone.utc)
customer_user.save()
response = api_client.post_graphql(MUTATION_CREATE_TOKEN, variables)
content = get_graphql_content(response)
data = content["data"]["tokenCreate"]
user_email = data["user"]["email"]
assert customer_user.email == user_email
assert content["data"]["tokenCreate"]["errors"] == []
token = data["token"]
refreshToken = data["refreshToken"]
payload = jwt_decode(token)
assert payload["email"] == customer_user.email
assert payload["user_id"] == graphene.Node.to_global_id("User", customer_user.id)
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_ACCESS
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_ACCESS_TYPE
payload = jwt_decode(refreshToken)
assert payload["email"] == customer_user.email
assert datetime.fromtimestamp(payload["iat"]) == datetime.utcnow()
expected_expiration_datetime = datetime.utcnow() + settings.JWT_TTL_REFRESH
assert datetime.fromtimestamp(payload["exp"]) == expected_expiration_datetime
assert payload["type"] == JWT_REFRESH_TYPE
assert payload["token"] == customer_user.jwt_token_key
assert payload["iss"] == build_absolute_uri(reverse("api"))
|
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'''
Move words around
@author Justin Hileman <http://justinhileman.com>
'''
import cp_actions as cp
def act(controller, bundle, options):
context = cp.get_context(controller)
line_ending = cp.get_line_ending(context)
direction = cp.get_option(options, 'direction', 'right')
line_text, line_range = cp.lines_and_range(context)
selection, select_range = cp.selection_and_range(context)
if select_range.length == 0:
selection, select_range = cp.words_and_range(context)
cp.say(context, 'word(s)', '||%s||' % selection)
return
if direction.lower() == 'left':
prefix = line_text[:(select_range.location - line_range.location)]
if not prefix.strip():
cp.beep()
return
# we care about the original length of line after, not the balanced one we'll get in a second
len_line_after = len(line_after)
line_after, text = cp.balance_line_endings(line_after, text, line_ending)
line_delta = len(line_after) - len_line_after
select_start = select_range.location + len(line_after)
select_end = min(select_start + select_range.length, len(context.string()))
text = line_after + text
select_range = cp.new_range(select_start, max(0,select_end - select_start))
target_range = cp.new_range(target_range.location, max(0, target_range.length + len(line_after) - (len(line_after) - len_line_after)))
else:
line_before = cp.get_line_before(context, target_range)
if line_before is None: return
# we care about the original length of line before, not the balanced one we'll get in a second
len_line_before = len(line_before)
text, line_before = cp.balance_line_endings(text, line_before, line_ending)
text = text + line_before
select_range = cp.new_range(select_range.location - len_line_before, select_range.length)
target_range = cp.new_range(target_range.location - len_line_before, target_range.length + len_line_before)
cp.insert_text_and_select(context, text, target_range, select_range)
|
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import os
import shutil
import glob
for e in glob.glob(r'delivery/include/*.h'):
os.remove(e)
if os.path.exists(r'delivery/crypt.lib'):
os.remove(r'delivery/crypt.lib')
for h in glob.glob(r'crypt/*.h'):
shutil.copy(h, r'delivery/include')
shutil.copy(r'x64/Release/crypt.lib', r'delivery')
|
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"""Support for interacting with Linode nodes."""
import logging
import voluptuous as vol
from homeassistant.components.linode import (
ATTR_CREATED, ATTR_IPV4_ADDRESS, ATTR_IPV6_ADDRESS, ATTR_MEMORY,
ATTR_NODE_ID, ATTR_NODE_NAME, ATTR_REGION, ATTR_VCPUS, CONF_NODES,
DATA_LINODE)
from homeassistant.components.switch import PLATFORM_SCHEMA, SwitchDevice
import homeassistant.helpers.config_validation as cv
_LOGGER = logging.getLogger(__name__)
DEPENDENCIES = ['linode']
DEFAULT_NAME = 'Node'
PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({
vol.Required(CONF_NODES): vol.All(cv.ensure_list, [cv.string]),
})
def setup_platform(hass, config, add_entities, discovery_info=None):
"""Set up the Linode Node switch."""
linode = hass.data.get(DATA_LINODE)
nodes = config.get(CONF_NODES)
dev = []
for node in nodes:
node_id = linode.get_node_id(node)
if node_id is None:
_LOGGER.error("Node %s is not available", node)
return
dev.append(LinodeSwitch(linode, node_id))
add_entities(dev, True)
class LinodeSwitch(SwitchDevice):
"""Representation of a Linode Node switch."""
def __init__(self, li, node_id):
"""Initialize a new Linode sensor."""
self._linode = li
self._node_id = node_id
self.data = None
self._state = None
self._attrs = {}
self._name = None
@property
def name(self):
"""Return the name of the switch."""
return self._name
@property
def is_on(self):
"""Return true if switch is on."""
return self._state
@property
def device_state_attributes(self):
"""Return the state attributes of the Linode Node."""
return self._attrs
def turn_on(self, **kwargs):
"""Boot-up the Node."""
if self.data.status != 'running':
self.data.boot()
def turn_off(self, **kwargs):
"""Shutdown the nodes."""
if self.data.status == 'running':
self.data.shutdown()
def update(self):
"""Get the latest data from the device and update the data."""
self._linode.update()
if self._linode.data is not None:
for node in self._linode.data:
if node.id == self._node_id:
self.data = node
if self.data is not None:
self._state = self.data.status == 'running'
self._attrs = {
ATTR_CREATED: self.data.created,
ATTR_NODE_ID: self.data.id,
ATTR_NODE_NAME: self.data.label,
ATTR_IPV4_ADDRESS: self.data.ipv4,
ATTR_IPV6_ADDRESS: self.data.ipv6,
ATTR_MEMORY: self.data.specs.memory,
ATTR_REGION: self.data.region.country,
ATTR_VCPUS: self.data.specs.vcpus,
}
self._name = self.data.label
|
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from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from product_spiders.items import Product, ProductLoaderWithNameStrip as ProductLoader
class HuntinglifeNetSpider(BaseSpider):
name = 'huntinglife.net'
allowed_domains = ['huntinglife.net']
start_urls = ('http://webshop.huntinglife.net/shop.aspx',)
def parse(self, response):
hxs = HtmlXPathSelector(response)
for url in hxs.select(u'//div[@class="lm_catalog"]/ul/li/ul/li/a/@href').extract():
yield Request(url, callback=self.parse_product)
def parse_product(self, response):
hxs = HtmlXPathSelector(response)
for item in hxs.select(u'//td/div[contains(@class,"ProductDisplayList")]'):
product_loader = ProductLoader(item=Product(), selector=item)
product_loader.add_xpath('name', u'.//div[@class="ProductDisplayList_Name"]/a/text()')
price = item.select(u'.//span[@class="price"]/text()').extract()[0]
price = price.strip().lstrip('DKK ').replace('.', '').replace(',', '.')
product_loader.add_value('price', price)
product_loader.add_xpath('url', u'.//div[@class="ProductDisplayList_Name"]/a/@href')
product = product_loader.load_item()
# Product page contains the full name,
# list has something shorter without important information like caliber
yield Request(product['url'], meta={'product':product}, callback=self.parse_product_name)
def parse_product_name(self, response):
hxs = HtmlXPathSelector(response)
product = response.meta['product']
product['name'] = hxs.select(u'//h1/text()').extract()[0].strip()
yield product
|
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from rdkit import Geometry
from rdkit.Chem.FeatMaps import FeatMaps, FeatMapPoint
import re
"""
ScoreMode=All
DirScoreMode=Ignore
BeginParams
family=Aromatic radius=2.5 width=1.0 profile=Gaussian
family=Acceptor radius=1.5
EndParams
# optional
BeginPoints
family=Acceptor pos=(1.0, 0.0, 5.0) weight=1.25 dir=(1, 1, 0)
family=Aromatic pos=(0.0,1.0,0.0) weight=2.0 dir=(0,0,1) dir=(0,0,-1)
family=Acceptor pos=(1.0,1.0,2.0) weight=1.25
EndPoints
"""
class FeatMapParseError(ValueError):
pass
class FeatMapParser(object):
data = None
def __init__(self, file=None, data=None):
if file:
self.data = file.readlines()
elif data:
self.SetData(data)
self._lineNum = 0
def SetData(self, data):
if isinstance(data, str):
self.data = data.split('\n')
else:
self.data = data
self._lineNum = 0
def _NextLine(self):
txt = ''
while 1:
try:
l = self.data[self._lineNum].split('#')[0].strip()
except IndexError:
break
self._lineNum += 1
if l:
txt += l
if l[-1] != '\\':
break
return txt
def Parse(self, featMap=None):
if featMap is None:
featMap = FeatMaps.FeatMap()
l = self._NextLine().strip()
while l:
splitL = l.split('=')
if len(splitL) == 1:
keyword = splitL[0].strip().lower()
if keyword == 'beginpoints':
pts = self.ParseFeatPointBlock()
for pt in pts:
featMap.AddFeatPoint(pt)
elif keyword == 'beginparams':
featMap.params = self.ParseParamBlock()
else:
raise FeatMapParseError('Unrecognized keyword %s on line %d' % (keyword, self._lineNum))
else:
keyword = splitL[0].strip().lower()
val = splitL[1].strip()
if keyword == 'scoremode':
try:
featMap.scoreMode = getattr(FeatMaps.FeatMapScoreMode, val)
except AttributeError:
raise FeatMapParseError('ScoreMode %s not recognized on line %d' % (val, self._lineNum))
elif keyword == 'dirscoremode':
try:
featMap.dirScoreMode = getattr(FeatMaps.FeatDirScoreMode, val)
except AttributeError:
raise FeatMapParseError('DirScoreMode %s not recognized on line %d' %
(val, self._lineNum))
else:
raise FeatMapParseError('Unrecognized keyword %s on line %d' % (keyword, self._lineNum))
l = self._NextLine().strip()
return featMap
def ParseParamBlock(self):
paramLineSplitter = re.compile(r'([a-zA-Z]+) *= *(\S+)')
params = {}
l = self._NextLine()
while l and l != 'EndParams':
param = FeatMaps.FeatMapParams()
vals = paramLineSplitter.findall(l)
for name, val in vals:
name = name.lower()
if name == 'family':
family = val
elif name == 'radius':
param.radius = float(val)
elif name == 'width':
param.width = float(val)
elif name == 'profile':
try:
param.featProfile = getattr(param.FeatProfile, val)
except AttributeError:
raise FeatMapParseError('Profile %s not recognized on line %d' % (val, self._lineNum))
else:
raise FeatMapParseError('FeatMapParam option %s not recognized on line %d' %
(name, self._lineNum))
params[family] = param
l = self._NextLine()
if l != 'EndParams':
raise FeatMapParseError('EndParams line not found')
return params
def _parsePoint(self, txt):
txt = txt.strip()
startP = 0
endP = len(txt)
if txt[0] == '(':
startP += 1
if txt[-1] == ')':
endP -= 1
txt = txt[startP:endP]
splitL = txt.split(',')
if len(splitL) != 3:
raise ValueError('Bad location string')
vs = [float(x) for x in splitL]
pt = Geometry.Point3D(vs[0], vs[1], vs[2])
return pt
def ParseFeatPointBlock(self):
featLineSplitter = re.compile(r'([a-zA-Z]+) *= *')
feats = []
l = self._NextLine()
while l and l != 'EndPoints':
vals = featLineSplitter.split(l)
while vals.count(''):
vals.remove('')
p = FeatMapPoint.FeatMapPoint()
i = 0
while i < len(vals):
name = vals[i].lower()
if name == 'family':
i += 1
val = vals[i].strip()
p.SetFamily(val)
elif name == 'weight':
i += 1
val = float(vals[i])
p.weight = val
elif name == 'pos':
i += 1
val = vals[i]
pos = self._parsePoint(val)
p.SetPos(pos)
elif name == 'dir':
i += 1
val = vals[i]
pos = self._parsePoint(val)
p.featDirs.append(pos)
else:
raise FeatMapParseError('FeatPoint option %s not recognized on line %d' %
(name, self._lineNum))
i += 1
feats.append(p)
l = self._NextLine()
return feats
|
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"""Tests for soft round."""
from absl.testing import parameterized
import tensorflow as tf
from tensorflow_compression.python.ops import round_ops
class SoftRoundTest(tf.test.TestCase, parameterized.TestCase):
def test_soft_round_small_alpha_is_identity(self):
x = tf.linspace(-2., 2., 50)
y = round_ops.soft_round(x, alpha=1e-13)
self.assertAllClose(x, y)
def test_soft_round_large_alpha_is_round(self):
# We don't care what happens exactly near half-integer values:
for offset in range(-5, 5):
x = tf.linspace(offset - 0.499, offset + 0.499, 100)
y = round_ops.soft_round(x, alpha=2000.0)
self.assertAllClose(tf.round(x), y, atol=0.02)
def test_soft_inverse_round_small_alpha_is_identity(self):
x = tf.linspace(-2., 2., 50)
y = round_ops.soft_round_inverse(x, alpha=1e-13)
self.assertAllEqual(x, y)
def test_soft_inverse_is_actual_inverse(self):
x = tf.constant([-1.25, -0.75, 0.75, 1.25], dtype=tf.float32)
y = round_ops.soft_round(x, alpha=2.0)
x2 = round_ops.soft_round_inverse(y, alpha=2.0)
self.assertAllClose(x, x2)
def test_soft_round_inverse_large_alpha_is_ceil_minus_half(self):
# We don't care what happens exactly near integer values:
for offset in range(-5, 5):
x = tf.linspace(offset + 0.001, offset + 0.999, 100)
y = round_ops.soft_round_inverse(x, alpha=5000.0)
self.assertAllClose(tf.math.ceil(x) - 0.5, y, atol=0.001)
def test_conditional_mean_large_alpha_is_round(self):
# We don't care what happens exactly near integer values:
for offset in range(-5, 5):
x = tf.linspace(offset + 0.001, offset + 0.999, 100)
y = round_ops.soft_round_conditional_mean(x, alpha=5000.0)
self.assertAllClose(tf.math.round(x), y, atol=0.001)
@parameterized.parameters(0., 1e-6, 1e-2, 5., 1e6)
def test_soft_round_values_and_gradients_are_finite(self, alpha):
x = tf.linspace(0., 1., 11) # covers exact integers and half-integers
with tf.GradientTape() as tape:
tape.watch(x)
y = round_ops.soft_round(x, alpha=alpha)
dy = tape.gradient(y, x)
self.assertAllEqual(tf.math.is_finite(y), tf.ones(x.shape, dtype=bool))
self.assertAllEqual(tf.math.is_finite(dy), tf.ones(x.shape, dtype=bool))
@parameterized.parameters(0., 1e-6, 1e-2, 5., 1e6)
def test_soft_round_inverse_values_and_gradients_are_finite(self, alpha):
x = tf.linspace(-.5, .5, 11) # covers exact integers and half-integers
with tf.GradientTape() as tape:
tape.watch(x)
y = round_ops.soft_round_inverse(x, alpha=alpha)
dy = tape.gradient(y, x)
self.assertAllEqual(tf.math.is_finite(y), tf.ones(x.shape, dtype=bool))
is_finite = tf.math.is_finite(dy)
expected_finite = tf.ones(dy.shape, dtype=bool)
if alpha > 15:
# We allow non-finite values at 0 for large alphas, since the function
# simply is extremely steep there.
expected_finite = tf.tensor_scatter_nd_update(
expected_finite, [[5]], [is_finite[5]])
self.assertAllEqual(is_finite, expected_finite)
if __name__ == "__main__":
tf.test.main()
|
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from __future__ import absolute_import, print_function
import os
import glob
import numpy as np
import six
from ..utils.ioutils import download, extract
class TColor128(object):
"""`TColor128 <http://www.dabi.temple.edu/~hbling/data/TColor-128/TColor-128.html>`_ Dataset.
Publication:
``Encoding color information for visual tracking: algorithms and benchmark``,
P. Liang, E. Blasch and H. Ling, TIP, 2015.
Args:
root_dir (string): Root directory of dataset where sequence
folders exist.
"""
def __init__(self, root_dir, download=True):
super(TColor128, self).__init__()
self.root_dir = root_dir
if download:
self._download(root_dir)
self._check_integrity(root_dir)
self.anno_files = sorted(glob.glob(
os.path.join(root_dir, '*/*_gt.txt')))
self.seq_dirs = [os.path.dirname(f) for f in self.anno_files]
self.seq_names = [os.path.basename(d) for d in self.seq_dirs]
# valid frame range for each sequence
self.range_files = [glob.glob(
os.path.join(d, '*_frames.txt'))[0]
for d in self.seq_dirs]
def __getitem__(self, index):
r"""
Args:
index (integer or string): Index or name of a sequence.
Returns:
tuple: (img_files, anno), where ``img_files`` is a list of
file names and ``anno`` is a N x 4 (rectangles) numpy array.
"""
if isinstance(index, six.string_types):
if not index in self.seq_names:
raise Exception('Sequence {} not found.'.format(index))
index = self.seq_names.index(index)
# load valid frame range
frames = np.loadtxt(
self.range_files[index], dtype=int, delimiter=',')
img_files = [os.path.join(
self.seq_dirs[index], 'img/%04d.jpg' % f)
for f in range(frames[0], frames[1] + 1)]
# load annotations
anno = np.loadtxt(self.anno_files[index], delimiter=',')
assert len(img_files) == len(anno)
assert anno.shape[1] == 4
return img_files, anno
def __len__(self):
return len(self.seq_names)
def _download(self, root_dir):
if not os.path.isdir(root_dir):
os.makedirs(root_dir)
elif len(os.listdir(root_dir)) > 100:
print('Files already downloaded.')
return
url = 'http://www.dabi.temple.edu/~hbling/data/TColor-128/Temple-color-128.zip'
zip_file = os.path.join(root_dir, 'Temple-color-128.zip')
print('Downloading to %s...' % zip_file)
download(url, zip_file)
print('\nExtracting to %s...' % root_dir)
extract(zip_file, root_dir)
return root_dir
def _check_integrity(self, root_dir):
seq_names = os.listdir(root_dir)
seq_names = [n for n in seq_names if not n[0] == '.']
if os.path.isdir(root_dir) and len(seq_names) > 0:
# check each sequence folder
for seq_name in seq_names:
seq_dir = os.path.join(root_dir, seq_name)
if not os.path.isdir(seq_dir):
print('Warning: sequence %s not exists.' % seq_name)
else:
# dataset not exists
raise Exception('Dataset not found or corrupted. ' +
'You can use download=True to download it.')
|
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from __future__ import print_function
import shutil
import sys
import os
import errno
import string
import re
import traceback
import time
import datetime
import copy
import glob
from math import ceil, trunc
import collections
import subprocess
from testglobals import *
from testutil import *
if config.use_threads:
import threading
try:
import thread
except ImportError: # Python 3
import _thread as thread
global wantToStop
wantToStop = False
def stopNow():
global wantToStop
wantToStop = True
def stopping():
return wantToStop
# Options valid for the current test only (these get reset to
# testdir_testopts after each test).
global testopts_local
if config.use_threads:
testopts_local = threading.local()
else:
class TestOpts_Local:
pass
testopts_local = TestOpts_Local()
def getTestOpts():
return testopts_local.x
def setLocalTestOpts(opts):
global testopts_local
testopts_local.x=opts
def isStatsTest():
opts = getTestOpts()
return len(opts.compiler_stats_range_fields) > 0 or len(opts.stats_range_fields) > 0
# This can be called at the top of a file of tests, to set default test options
# for the following tests.
def setTestOpts( f ):
global thisdir_settings
thisdir_settings = [thisdir_settings, f]
# -----------------------------------------------------------------------------
# Canned setup functions for common cases. eg. for a test you might say
#
# test('test001', normal, compile, [''])
#
# to run it without any options, but change it to
#
# test('test001', expect_fail, compile, [''])
#
# to expect failure for this test.
def normal( name, opts ):
return;
def skip( name, opts ):
opts.skip = 1
def expect_fail( name, opts ):
opts.expect = 'fail';
def reqlib( lib ):
return lambda name, opts, l=lib: _reqlib (name, opts, l )
# Cache the results of looking to see if we have a library or not.
# This makes quite a difference, especially on Windows.
have_lib = {}
def _reqlib( name, opts, lib ):
if lib in have_lib:
got_it = have_lib[lib]
else:
cmd = strip_quotes(config.ghc_pkg)
p = subprocess.Popen([cmd, '--no-user-package-db', 'describe', lib],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
# read from stdout and stderr to avoid blocking due to
# buffers filling
p.communicate()
r = p.wait()
got_it = r == 0
have_lib[lib] = got_it
if not got_it:
opts.expect = 'missing-lib'
def req_haddock( name, opts ):
if not config.haddock:
opts.expect = 'missing-lib'
def req_profiling( name, opts ):
if not config.have_profiling:
opts.expect = 'fail'
def req_shared_libs( name, opts ):
if not config.have_shared_libs:
opts.expect = 'fail'
def req_interp( name, opts ):
if not config.have_interp:
opts.expect = 'fail'
def req_smp( name, opts ):
if not config.have_smp:
opts.expect = 'fail'
def ignore_output( name, opts ):
opts.ignore_output = 1
def no_stdin( name, opts ):
opts.no_stdin = 1
def combined_output( name, opts ):
opts.combined_output = True
# -----
def expect_fail_for( ways ):
return lambda name, opts, w=ways: _expect_fail_for( name, opts, w )
def _expect_fail_for( name, opts, ways ):
opts.expect_fail_for = ways
def expect_broken( bug ):
return lambda name, opts, b=bug: _expect_broken (name, opts, b )
def _expect_broken( name, opts, bug ):
record_broken(name, opts, bug)
opts.expect = 'fail';
def expect_broken_for( bug, ways ):
return lambda name, opts, b=bug, w=ways: _expect_broken_for( name, opts, b, w )
def _expect_broken_for( name, opts, bug, ways ):
record_broken(name, opts, bug)
opts.expect_fail_for = ways
def record_broken(name, opts, bug):
global brokens
me = (bug, opts.testdir, name)
if not me in brokens:
brokens.append(me)
# -----
def omit_ways( ways ):
return lambda name, opts, w=ways: _omit_ways( name, opts, w )
def _omit_ways( name, opts, ways ):
opts.omit_ways = ways
# -----
def only_ways( ways ):
return lambda name, opts, w=ways: _only_ways( name, opts, w )
def _only_ways( name, opts, ways ):
opts.only_ways = ways
# -----
def extra_ways( ways ):
return lambda name, opts, w=ways: _extra_ways( name, opts, w )
def _extra_ways( name, opts, ways ):
opts.extra_ways = ways
# -----
def omit_compiler_types( compiler_types ):
return lambda name, opts, c=compiler_types: _omit_compiler_types(name, opts, c)
def _omit_compiler_types( name, opts, compiler_types ):
if config.compiler_type in compiler_types:
opts.skip = 1
# -----
def only_compiler_types( compiler_types ):
return lambda name, opts, c=compiler_types: _only_compiler_types(name, opts, c)
def _only_compiler_types( name, opts, compiler_types ):
if config.compiler_type not in compiler_types:
opts.skip = 1
# -----
def set_stdin( file ):
return lambda name, opts, f=file: _set_stdin(name, opts, f);
def _set_stdin( name, opts, f ):
opts.stdin = f
# -----
def exit_code( val ):
return lambda name, opts, v=val: _exit_code(name, opts, v);
def _exit_code( name, opts, v ):
opts.exit_code = v
def signal_exit_code( val ):
if opsys('solaris2'):
return exit_code( val );
else:
# When application running on Linux receives fatal error
# signal, then its exit code is encoded as 128 + signal
# value. See http://www.tldp.org/LDP/abs/html/exitcodes.html
# I assume that Mac OS X behaves in the same way at least Mac
# OS X builder behavior suggests this.
return exit_code( val+128 );
# -----
def timeout_multiplier( val ):
return lambda name, opts, v=val: _timeout_multiplier(name, opts, v)
def _timeout_multiplier( name, opts, v ):
opts.timeout_multiplier = v
# -----
def extra_run_opts( val ):
return lambda name, opts, v=val: _extra_run_opts(name, opts, v);
def _extra_run_opts( name, opts, v ):
opts.extra_run_opts = v
# -----
def extra_hc_opts( val ):
return lambda name, opts, v=val: _extra_hc_opts(name, opts, v);
def _extra_hc_opts( name, opts, v ):
opts.extra_hc_opts = v
# -----
def extra_clean( files ):
return lambda name, opts, v=files: _extra_clean(name, opts, v);
def _extra_clean( name, opts, v ):
opts.clean_files = v
# -----
def stats_num_field( field, expecteds ):
return lambda name, opts, f=field, e=expecteds: _stats_num_field(name, opts, f, e);
def _stats_num_field( name, opts, field, expecteds ):
if field in opts.stats_range_fields:
framework_fail(name, 'duplicate-numfield', 'Duplicate ' + field + ' num_field check')
if type(expecteds) is list:
for (b, expected, dev) in expecteds:
if b:
opts.stats_range_fields[field] = (expected, dev)
return
framework_fail(name, 'numfield-no-expected', 'No expected value found for ' + field + ' in num_field check')
else:
(expected, dev) = expecteds
opts.stats_range_fields[field] = (expected, dev)
def compiler_stats_num_field( field, expecteds ):
return lambda name, opts, f=field, e=expecteds: _compiler_stats_num_field(name, opts, f, e);
def _compiler_stats_num_field( name, opts, field, expecteds ):
if field in opts.compiler_stats_range_fields:
framework_fail(name, 'duplicate-numfield', 'Duplicate ' + field + ' num_field check')
# Compiler performance numbers change when debugging is on, making the results
# useless and confusing. Therefore, skip if debugging is on.
if compiler_debugged():
skip(name, opts)
for (b, expected, dev) in expecteds:
if b:
opts.compiler_stats_range_fields[field] = (expected, dev)
return
framework_fail(name, 'numfield-no-expected', 'No expected value found for ' + field + ' in num_field check')
# -----
def when(b, f):
# When list_brokens is on, we want to see all expect_broken calls,
# so we always do f
if b or config.list_broken:
return f
else:
return normal
def unless(b, f):
return when(not b, f)
def doing_ghci():
return 'ghci' in config.run_ways
def ghci_dynamic( ):
return config.ghc_dynamic
def fast():
return config.fast
def platform( plat ):
return config.platform == plat
def opsys( os ):
return config.os == os
def arch( arch ):
return config.arch == arch
def wordsize( ws ):
return config.wordsize == str(ws)
def msys( ):
return config.msys
def cygwin( ):
return config.cygwin
def have_vanilla( ):
return config.have_vanilla
def have_dynamic( ):
return config.have_dynamic
def have_profiling( ):
return config.have_profiling
def in_tree_compiler( ):
return config.in_tree_compiler
def compiler_type( compiler ):
return config.compiler_type == compiler
def compiler_lt( compiler, version ):
return config.compiler_type == compiler and \
version_lt(config.compiler_version, version)
def compiler_le( compiler, version ):
return config.compiler_type == compiler and \
version_le(config.compiler_version, version)
def compiler_gt( compiler, version ):
return config.compiler_type == compiler and \
version_gt(config.compiler_version, version)
def compiler_ge( compiler, version ):
return config.compiler_type == compiler and \
version_ge(config.compiler_version, version)
def unregisterised( ):
return config.unregisterised
def compiler_profiled( ):
return config.compiler_profiled
def compiler_debugged( ):
return config.compiler_debugged
def tag( t ):
return t in config.compiler_tags
# ---
def namebase( nb ):
return lambda opts, nb=nb: _namebase(opts, nb)
def _namebase( opts, nb ):
opts.with_namebase = nb
# ---
def high_memory_usage(name, opts):
opts.alone = True
# If a test is for a multi-CPU race, then running the test alone
# increases the chance that we'll actually see it.
def multi_cpu_race(name, opts):
opts.alone = True
# ---
def literate( name, opts ):
opts.literate = 1;
def c_src( name, opts ):
opts.c_src = 1;
def objc_src( name, opts ):
opts.objc_src = 1;
def objcpp_src( name, opts ):
opts.objcpp_src = 1;
def cmm_src( name, opts ):
opts.cmm_src = 1;
def outputdir( odir ):
return lambda name, opts, d=odir: _outputdir(name, opts, d)
def _outputdir( name, opts, odir ):
opts.outputdir = odir;
# ----
def pre_cmd( cmd ):
return lambda name, opts, c=cmd: _pre_cmd(name, opts, cmd)
def _pre_cmd( name, opts, cmd ):
opts.pre_cmd = cmd
# ----
def clean_cmd( cmd ):
return lambda name, opts, c=cmd: _clean_cmd(name, opts, cmd)
def _clean_cmd( name, opts, cmd ):
opts.clean_cmd = cmd
# ----
def cmd_prefix( prefix ):
return lambda name, opts, p=prefix: _cmd_prefix(name, opts, prefix)
def _cmd_prefix( name, opts, prefix ):
opts.cmd_wrapper = lambda cmd, p=prefix: p + ' ' + cmd;
# ----
def cmd_wrapper( fun ):
return lambda name, opts, f=fun: _cmd_wrapper(name, opts, fun)
def _cmd_wrapper( name, opts, fun ):
opts.cmd_wrapper = fun
# ----
def compile_cmd_prefix( prefix ):
return lambda name, opts, p=prefix: _compile_cmd_prefix(name, opts, prefix)
def _compile_cmd_prefix( name, opts, prefix ):
opts.compile_cmd_prefix = prefix
# ----
def check_stdout( f ):
return lambda name, opts, f=f: _check_stdout(name, opts, f)
def _check_stdout( name, opts, f ):
opts.check_stdout = f
# ----
def normalise_slashes( name, opts ):
_normalise_fun(name, opts, normalise_slashes_)
def normalise_exe( name, opts ):
_normalise_fun(name, opts, normalise_exe_)
def normalise_fun( *fs ):
return lambda name, opts: _normalise_fun(name, opts, fs)
def _normalise_fun( name, opts, *fs ):
opts.extra_normaliser = join_normalisers(opts.extra_normaliser, fs)
def normalise_errmsg_fun( *fs ):
return lambda name, opts: _normalise_errmsg_fun(name, opts, fs)
def _normalise_errmsg_fun( name, opts, *fs ):
opts.extra_errmsg_normaliser = join_normalisers(opts.extra_errmsg_normaliser, fs)
def normalise_version_( *pkgs ):
def normalise_version__( str ):
return re.sub('(' + '|'.join(map(re.escape,pkgs)) + ')-[0-9.]+',
'\\1-<VERSION>', str)
return normalise_version__
def normalise_version( *pkgs ):
def normalise_version__( name, opts ):
_normalise_fun(name, opts, normalise_version_(*pkgs))
_normalise_errmsg_fun(name, opts, normalise_version_(*pkgs))
return normalise_version__
def join_normalisers(*a):
"""
Compose functions, flattening sequences.
join_normalisers(f1,[f2,f3],f4)
is the same as
lambda x: f1(f2(f3(f4(x))))
"""
def flatten(l):
"""
Taken from http://stackoverflow.com/a/2158532/946226
"""
for el in l:
if isinstance(el, collections.Iterable) and not isinstance(el, basestring):
for sub in flatten(el):
yield sub
else:
yield el
a = flatten(a)
fn = lambda x:x # identity function
for f in a:
assert callable(f)
fn = lambda x,f=f,fn=fn: fn(f(x))
return fn
# ----
# Function for composing two opt-fns together
def executeSetups(fs, name, opts):
if type(fs) is list:
# If we have a list of setups, then execute each one
for f in fs:
executeSetups(f, name, opts)
else:
# fs is a single function, so just apply it
fs(name, opts)
# -----------------------------------------------------------------------------
# The current directory of tests
def newTestDir( dir ):
global thisdir_settings
# reset the options for this test directory
thisdir_settings = lambda name, opts, dir=dir: _newTestDir( name, opts, dir )
def _newTestDir( name, opts, dir ):
opts.testdir = dir
opts.compiler_always_flags = config.compiler_always_flags
# -----------------------------------------------------------------------------
# Actually doing tests
parallelTests = []
aloneTests = []
allTestNames = set([])
def runTest (opts, name, func, args):
ok = 0
if config.use_threads:
t.thread_pool.acquire()
try:
while config.threads<(t.running_threads+1):
t.thread_pool.wait()
t.running_threads = t.running_threads+1
ok=1
t.thread_pool.release()
thread.start_new_thread(test_common_thread, (name, opts, func, args))
except:
if not ok:
t.thread_pool.release()
else:
test_common_work (name, opts, func, args)
# name :: String
# setup :: TestOpts -> IO ()
def test (name, setup, func, args):
global aloneTests
global parallelTests
global allTestNames
global thisdir_settings
if name in allTestNames:
framework_fail(name, 'duplicate', 'There are multiple tests with this name')
if not re.match('^[0-9]*[a-zA-Z][a-zA-Z0-9._-]*$', name):
framework_fail(name, 'bad_name', 'This test has an invalid name')
# Make a deep copy of the default_testopts, as we need our own copy
# of any dictionaries etc inside it. Otherwise, if one test modifies
# them, all tests will see the modified version!
myTestOpts = copy.deepcopy(default_testopts)
executeSetups([thisdir_settings, setup], name, myTestOpts)
thisTest = lambda : runTest(myTestOpts, name, func, args)
if myTestOpts.alone:
aloneTests.append(thisTest)
else:
parallelTests.append(thisTest)
allTestNames.add(name)
if config.use_threads:
def test_common_thread(name, opts, func, args):
t.lock.acquire()
try:
test_common_work(name,opts,func,args)
finally:
t.lock.release()
t.thread_pool.acquire()
t.running_threads = t.running_threads - 1
t.thread_pool.notify()
t.thread_pool.release()
def get_package_cache_timestamp():
if config.package_conf_cache_file == '':
return 0.0
else:
try:
return os.stat(config.package_conf_cache_file).st_mtime
except:
return 0.0
def test_common_work (name, opts, func, args):
try:
t.total_tests = t.total_tests+1
setLocalTestOpts(opts)
package_conf_cache_file_start_timestamp = get_package_cache_timestamp()
# All the ways we might run this test
if func == compile or func == multimod_compile:
all_ways = config.compile_ways
elif func == compile_and_run or func == multimod_compile_and_run:
all_ways = config.run_ways
elif func == ghci_script:
if 'ghci' in config.run_ways:
all_ways = ['ghci']
else:
all_ways = []
else:
all_ways = ['normal']
# A test itself can request extra ways by setting opts.extra_ways
all_ways = all_ways + [way for way in opts.extra_ways if way not in all_ways]
t.total_test_cases = t.total_test_cases + len(all_ways)
ok_way = lambda way: \
not getTestOpts().skip \
and (config.only == [] or name in config.only) \
and (getTestOpts().only_ways == None or way in getTestOpts().only_ways) \
and (config.cmdline_ways == [] or way in config.cmdline_ways) \
and (not (config.skip_perf_tests and isStatsTest())) \
and way not in getTestOpts().omit_ways
# Which ways we are asked to skip
do_ways = list(filter (ok_way,all_ways))
# In fast mode, we skip all but one way
if config.fast and len(do_ways) > 0:
do_ways = [do_ways[0]]
if not config.clean_only:
# Run the required tests...
for way in do_ways:
if stopping():
break
do_test (name, way, func, args)
for way in all_ways:
if way not in do_ways:
skiptest (name,way)
if getTestOpts().cleanup != '' and (config.clean_only or do_ways != []):
pretest_cleanup(name)
clean([name + suff for suff in [
'', '.exe', '.exe.manifest', '.genscript',
'.stderr.normalised', '.stdout.normalised',
'.run.stderr.normalised', '.run.stdout.normalised',
'.comp.stderr.normalised', '.comp.stdout.normalised',
'.interp.stderr.normalised', '.interp.stdout.normalised',
'.stats', '.comp.stats',
'.hi', '.o', '.prof', '.exe.prof', '.hc',
'_stub.h', '_stub.c', '_stub.o',
'.hp', '.exe.hp', '.ps', '.aux', '.hcr', '.eventlog']])
if func == multi_compile or func == multi_compile_fail:
extra_mods = args[1]
clean([replace_suffix(fx[0],'o') for fx in extra_mods])
clean([replace_suffix(fx[0], 'hi') for fx in extra_mods])
clean(getTestOpts().clean_files)
if getTestOpts().outputdir != None:
odir = in_testdir(getTestOpts().outputdir)
try:
shutil.rmtree(odir)
except:
pass
try:
shutil.rmtree(in_testdir('.hpc.' + name))
except:
pass
try:
cleanCmd = getTestOpts().clean_cmd
if cleanCmd != None:
result = runCmdFor(name, 'cd ' + getTestOpts().testdir + ' && ' + cleanCmd)
if result != 0:
framework_fail(name, 'cleaning', 'clean-command failed: ' + str(result))
except:
framework_fail(name, 'cleaning', 'clean-command exception')
package_conf_cache_file_end_timestamp = get_package_cache_timestamp();
if package_conf_cache_file_start_timestamp != package_conf_cache_file_end_timestamp:
framework_fail(name, 'whole-test', 'Package cache timestamps do not match: ' + str(package_conf_cache_file_start_timestamp) + ' ' + str(package_conf_cache_file_end_timestamp))
try:
for f in files_written[name]:
if os.path.exists(f):
try:
if not f in files_written_not_removed[name]:
files_written_not_removed[name].append(f)
except:
files_written_not_removed[name] = [f]
except:
pass
except Exception as e:
framework_fail(name, 'runTest', 'Unhandled exception: ' + str(e))
def clean(strs):
for str in strs:
for name in glob.glob(in_testdir(str)):
clean_full_path(name)
def clean_full_path(name):
try:
# Remove files...
os.remove(name)
except OSError as e1:
try:
# ... and empty directories
os.rmdir(name)
except OSError as e2:
# We don't want to fail here, but we do want to know
# what went wrong, so print out the exceptions.
# ENOENT isn't a problem, though, as we clean files
# that don't necessarily exist.
if e1.errno != errno.ENOENT:
print(e1)
if e2.errno != errno.ENOENT:
print(e2)
def do_test(name, way, func, args):
full_name = name + '(' + way + ')'
try:
if_verbose(2, "=====> %s %d of %d %s " % \
(full_name, t.total_tests, len(allTestNames), \
[t.n_unexpected_passes, \
t.n_unexpected_failures, \
t.n_framework_failures]))
if config.use_threads:
t.lock.release()
try:
preCmd = getTestOpts().pre_cmd
if preCmd != None:
result = runCmdFor(name, 'cd ' + getTestOpts().testdir + ' && ' + preCmd)
if result != 0:
framework_fail(name, way, 'pre-command failed: ' + str(result))
except:
framework_fail(name, way, 'pre-command exception')
try:
result = func(*[name,way] + args)
finally:
if config.use_threads:
t.lock.acquire()
if getTestOpts().expect != 'pass' and \
getTestOpts().expect != 'fail' and \
getTestOpts().expect != 'missing-lib':
framework_fail(name, way, 'bad expected ' + getTestOpts().expect)
try:
passFail = result['passFail']
except:
passFail = 'No passFail found'
if passFail == 'pass':
if getTestOpts().expect == 'pass' \
and way not in getTestOpts().expect_fail_for:
t.n_expected_passes = t.n_expected_passes + 1
if name in t.expected_passes:
t.expected_passes[name].append(way)
else:
t.expected_passes[name] = [way]
else:
if_verbose(1, '*** unexpected pass for %s' % full_name)
t.n_unexpected_passes = t.n_unexpected_passes + 1
addPassingTestInfo(t.unexpected_passes, getTestOpts().testdir, name, way)
elif passFail == 'fail':
if getTestOpts().expect == 'pass' \
and way not in getTestOpts().expect_fail_for:
reason = result['reason']
tag = result.get('tag')
if tag == 'stat':
if_verbose(1, '*** unexpected stat test failure for %s' % full_name)
t.n_unexpected_stat_failures = t.n_unexpected_stat_failures + 1
addFailingTestInfo(t.unexpected_stat_failures, getTestOpts().testdir, name, reason, way)
else:
if_verbose(1, '*** unexpected failure for %s' % full_name)
t.n_unexpected_failures = t.n_unexpected_failures + 1
addFailingTestInfo(t.unexpected_failures, getTestOpts().testdir, name, reason, way)
else:
if getTestOpts().expect == 'missing-lib':
t.n_missing_libs = t.n_missing_libs + 1
if name in t.missing_libs:
t.missing_libs[name].append(way)
else:
t.missing_libs[name] = [way]
else:
t.n_expected_failures = t.n_expected_failures + 1
if name in t.expected_failures:
t.expected_failures[name].append(way)
else:
t.expected_failures[name] = [way]
else:
framework_fail(name, way, 'bad result ' + passFail)
except KeyboardInterrupt:
stopNow()
except:
framework_fail(name, way, 'do_test exception')
traceback.print_exc()
def addPassingTestInfo (testInfos, directory, name, way):
directory = re.sub('^\\.[/\\\\]', '', directory)
if not directory in testInfos:
testInfos[directory] = {}
if not name in testInfos[directory]:
testInfos[directory][name] = []
testInfos[directory][name].append(way)
def addFailingTestInfo (testInfos, directory, name, reason, way):
directory = re.sub('^\\.[/\\\\]', '', directory)
if not directory in testInfos:
testInfos[directory] = {}
if not name in testInfos[directory]:
testInfos[directory][name] = {}
if not reason in testInfos[directory][name]:
testInfos[directory][name][reason] = []
testInfos[directory][name][reason].append(way)
def skiptest (name, way):
# print 'Skipping test \"', name, '\"'
t.n_tests_skipped = t.n_tests_skipped + 1
if name in t.tests_skipped:
t.tests_skipped[name].append(way)
else:
t.tests_skipped[name] = [way]
def framework_fail( name, way, reason ):
full_name = name + '(' + way + ')'
if_verbose(1, '*** framework failure for %s %s ' % (full_name, reason))
t.n_framework_failures = t.n_framework_failures + 1
if name in t.framework_failures:
t.framework_failures[name].append(way)
else:
t.framework_failures[name] = [way]
def badResult(result):
try:
if result['passFail'] == 'pass':
return False
return True
except:
return True
def passed():
return {'passFail': 'pass'}
def failBecause(reason, tag=None):
return {'passFail': 'fail', 'reason': reason, 'tag': tag}
# -----------------------------------------------------------------------------
# Generic command tests
# A generic command test is expected to run and exit successfully.
#
# The expected exit code can be changed via exit_code() as normal, and
# the expected stdout/stderr are stored in <testname>.stdout and
# <testname>.stderr. The output of the command can be ignored
# altogether by using run_command_ignore_output instead of
# run_command.
def run_command( name, way, cmd ):
return simple_run( name, '', cmd, '' )
# -----------------------------------------------------------------------------
# GHCi tests
def ghci_script_without_flag(flag):
def apply(name, way, script):
overrides = [f for f in getTestOpts().compiler_always_flags if f != flag]
return ghci_script_override_default_flags(overrides)(name, way, script)
return apply
def ghci_script_override_default_flags(overrides):
def apply(name, way, script):
return ghci_script(name, way, script, overrides)
return apply
def ghci_script( name, way, script, override_flags = None ):
# filter out -fforce-recomp from compiler_always_flags, because we're
# actually testing the recompilation behaviour in the GHCi tests.
flags = ' '.join(get_compiler_flags(override_flags, noforce=True))
way_flags = ' '.join(config.way_flags(name)['ghci'])
# We pass HC and HC_OPTS as environment variables, so that the
# script can invoke the correct compiler by using ':! $HC $HC_OPTS'
cmd = ('HC={{compiler}} HC_OPTS="{flags}" {{compiler}} {flags} {way_flags}'
).format(flags=flags, way_flags=way_flags)
getTestOpts().stdin = script
return simple_run( name, way, cmd, getTestOpts().extra_run_opts )
# -----------------------------------------------------------------------------
# Compile-only tests
def compile_override_default_flags(overrides):
def apply(name, way, extra_opts):
return do_compile(name, way, 0, '', [], extra_opts, overrides)
return apply
def compile_fail_override_default_flags(overrides):
def apply(name, way, extra_opts):
return do_compile(name, way, 1, '', [], extra_opts, overrides)
return apply
def compile_without_flag(flag):
def apply(name, way, extra_opts):
overrides = [f for f in getTestOpts().compiler_always_flags if f != flag]
return compile_override_default_flags(overrides)(name, way, extra_opts)
return apply
def compile_fail_without_flag(flag):
def apply(name, way, extra_opts):
overrides = [f for f in getTestOpts.compiler_always_flags if f != flag]
return compile_fail_override_default_flags(overrides)(name, way, extra_opts)
return apply
def compile( name, way, extra_hc_opts ):
return do_compile( name, way, 0, '', [], extra_hc_opts )
def compile_fail( name, way, extra_hc_opts ):
return do_compile( name, way, 1, '', [], extra_hc_opts )
def multimod_compile( name, way, top_mod, extra_hc_opts ):
return do_compile( name, way, 0, top_mod, [], extra_hc_opts )
def multimod_compile_fail( name, way, top_mod, extra_hc_opts ):
return do_compile( name, way, 1, top_mod, [], extra_hc_opts )
def multi_compile( name, way, top_mod, extra_mods, extra_hc_opts ):
return do_compile( name, way, 0, top_mod, extra_mods, extra_hc_opts)
def multi_compile_fail( name, way, top_mod, extra_mods, extra_hc_opts ):
return do_compile( name, way, 1, top_mod, extra_mods, extra_hc_opts)
def do_compile( name, way, should_fail, top_mod, extra_mods, extra_hc_opts, override_flags = None ):
# print 'Compile only, extra args = ', extra_hc_opts
pretest_cleanup(name)
result = extras_build( way, extra_mods, extra_hc_opts )
if badResult(result):
return result
extra_hc_opts = result['hc_opts']
force = 0
if extra_mods:
force = 1
result = simple_build( name, way, extra_hc_opts, should_fail, top_mod, 0, 1, force, override_flags )
if badResult(result):
return result
# the actual stderr should always match the expected, regardless
# of whether we expected the compilation to fail or not (successful
# compilations may generate warnings).
if getTestOpts().with_namebase == None:
namebase = name
else:
namebase = getTestOpts().with_namebase
(platform_specific, expected_stderr_file) = platform_wordsize_qualify(namebase, 'stderr')
actual_stderr_file = qualify(name, 'comp.stderr')
if not compare_outputs(way, 'stderr',
join_normalisers(getTestOpts().extra_errmsg_normaliser,
normalise_errmsg,
normalise_whitespace),
expected_stderr_file, actual_stderr_file):
return failBecause('stderr mismatch')
# no problems found, this test passed
return passed()
def compile_cmp_asm( name, way, extra_hc_opts ):
print('Compile only, extra args = ', extra_hc_opts)
pretest_cleanup(name)
result = simple_build( name + '.cmm', way, '-keep-s-files -O ' + extra_hc_opts, 0, '', 0, 0, 0)
if badResult(result):
return result
# the actual stderr should always match the expected, regardless
# of whether we expected the compilation to fail or not (successful
# compilations may generate warnings).
if getTestOpts().with_namebase == None:
namebase = name
else:
namebase = getTestOpts().with_namebase
(platform_specific, expected_asm_file) = platform_wordsize_qualify(namebase, 'asm')
actual_asm_file = qualify(name, 's')
if not compare_outputs(way, 'asm',
join_normalisers(normalise_errmsg, normalise_asm),
expected_asm_file, actual_asm_file):
return failBecause('asm mismatch')
# no problems found, this test passed
return passed()
# -----------------------------------------------------------------------------
# Compile-and-run tests
def compile_and_run__( name, way, top_mod, extra_mods, extra_hc_opts ):
# print 'Compile and run, extra args = ', extra_hc_opts
pretest_cleanup(name)
result = extras_build( way, extra_mods, extra_hc_opts )
if badResult(result):
return result
extra_hc_opts = result['hc_opts']
if way == 'ghci': # interpreted...
return interpreter_run( name, way, extra_hc_opts, 0, top_mod )
else: # compiled...
force = 0
if extra_mods:
force = 1
result = simple_build( name, way, extra_hc_opts, 0, top_mod, 1, 1, force)
if badResult(result):
return result
cmd = './' + name;
# we don't check the compiler's stderr for a compile-and-run test
return simple_run( name, way, cmd, getTestOpts().extra_run_opts )
def compile_and_run( name, way, extra_hc_opts ):
return compile_and_run__( name, way, '', [], extra_hc_opts)
def multimod_compile_and_run( name, way, top_mod, extra_hc_opts ):
return compile_and_run__( name, way, top_mod, [], extra_hc_opts)
def multi_compile_and_run( name, way, top_mod, extra_mods, extra_hc_opts ):
return compile_and_run__( name, way, top_mod, extra_mods, extra_hc_opts)
def stats( name, way, stats_file ):
opts = getTestOpts()
return checkStats(name, way, stats_file, opts.stats_range_fields)
# -----------------------------------------------------------------------------
# Check -t stats info
def checkStats(name, way, stats_file, range_fields):
full_name = name + '(' + way + ')'
result = passed()
if len(range_fields) > 0:
try:
f = open(in_testdir(stats_file))
except IOError as e:
return failBecause(str(e))
contents = f.read()
f.close()
for (field, (expected, dev)) in range_fields.items():
m = re.search('\("' + field + '", "([0-9]+)"\)', contents)
if m == None:
print('Failed to find field: ', field)
result = failBecause('no such stats field')
val = int(m.group(1))
lowerBound = trunc( expected * ((100 - float(dev))/100))
upperBound = trunc(0.5 + ceil(expected * ((100 + float(dev))/100)))
deviation = round(((float(val) * 100)/ expected) - 100, 1)
if val < lowerBound:
print(field, 'value is too low:')
print('(If this is because you have improved GHC, please')
print('update the test so that GHC doesn\'t regress again)')
result = failBecause('stat too good', tag='stat')
if val > upperBound:
print(field, 'value is too high:')
result = failBecause('stat not good enough', tag='stat')
if val < lowerBound or val > upperBound or config.verbose >= 4:
valStr = str(val)
valLen = len(valStr)
expectedStr = str(expected)
expectedLen = len(expectedStr)
length = max(len(str(x)) for x in [expected, lowerBound, upperBound, val])
def display(descr, val, extra):
print(descr, str(val).rjust(length), extra)
display(' Expected ' + full_name + ' ' + field + ':', expected, '+/-' + str(dev) + '%')
display(' Lower bound ' + full_name + ' ' + field + ':', lowerBound, '')
display(' Upper bound ' + full_name + ' ' + field + ':', upperBound, '')
display(' Actual ' + full_name + ' ' + field + ':', val, '')
if val != expected:
display(' Deviation ' + full_name + ' ' + field + ':', deviation, '%')
return result
# -----------------------------------------------------------------------------
# Build a single-module program
def extras_build( way, extra_mods, extra_hc_opts ):
for modopts in extra_mods:
mod, opts = modopts
result = simple_build( mod, way, opts + ' ' + extra_hc_opts, 0, '', 0, 0, 0)
if not (mod.endswith('.hs') or mod.endswith('.lhs')):
extra_hc_opts += ' ' + replace_suffix(mod, 'o')
if badResult(result):
return result
return {'passFail' : 'pass', 'hc_opts' : extra_hc_opts}
def simple_build( name, way, extra_hc_opts, should_fail, top_mod, link, addsuf, noforce, override_flags = None ):
opts = getTestOpts()
errname = add_suffix(name, 'comp.stderr')
rm_no_fail( qualify(errname, '') )
if top_mod != '':
srcname = top_mod
rm_no_fail( qualify(name, '') )
base, suf = os.path.splitext(top_mod)
rm_no_fail( qualify(base, '') )
rm_no_fail( qualify(base, 'exe') )
elif addsuf:
srcname = add_hs_lhs_suffix(name)
rm_no_fail( qualify(name, '') )
else:
srcname = name
rm_no_fail( qualify(name, 'o') )
rm_no_fail( qualify(replace_suffix(srcname, "o"), '') )
to_do = ''
if top_mod != '':
to_do = '--make '
if link:
to_do = to_do + '-o ' + name
elif link:
to_do = '-o ' + name
elif opts.compile_to_hc:
to_do = '-C'
else:
to_do = '-c' # just compile
stats_file = name + '.comp.stats'
if len(opts.compiler_stats_range_fields) > 0:
extra_hc_opts += ' +RTS -V0 -t' + stats_file + ' --machine-readable -RTS'
# Required by GHC 7.3+, harmless for earlier versions:
if (getTestOpts().c_src or
getTestOpts().objc_src or
getTestOpts().objcpp_src or
getTestOpts().cmm_src):
extra_hc_opts += ' -no-hs-main '
if getTestOpts().compile_cmd_prefix == '':
cmd_prefix = ''
else:
cmd_prefix = getTestOpts().compile_cmd_prefix + ' '
flags = ' '.join(get_compiler_flags(override_flags, noforce) +
config.way_flags(name)[way])
cmd = ('cd {opts.testdir} && {cmd_prefix} '
'{{compiler}} {to_do} {srcname} {flags} {extra_hc_opts} '
'> {errname} 2>&1'
).format(**locals())
result = runCmdFor(name, cmd)
if result != 0 and not should_fail:
actual_stderr = qualify(name, 'comp.stderr')
if_verbose(1,'Compile failed (status ' + repr(result) + ') errors were:')
if_verbose_dump(1,actual_stderr)
# ToDo: if the sub-shell was killed by ^C, then exit
statsResult = checkStats(name, way, stats_file, opts.compiler_stats_range_fields)
if badResult(statsResult):
return statsResult
if should_fail:
if result == 0:
return failBecause('exit code 0')
else:
if result != 0:
return failBecause('exit code non-0')
return passed()
# -----------------------------------------------------------------------------
# Run a program and check its output
#
# If testname.stdin exists, route input from that, else
# from /dev/null. Route output to testname.run.stdout and
# testname.run.stderr. Returns the exit code of the run.
def simple_run( name, way, prog, args ):
opts = getTestOpts()
# figure out what to use for stdin
if opts.stdin != '':
use_stdin = opts.stdin
else:
stdin_file = add_suffix(name, 'stdin')
if os.path.exists(in_testdir(stdin_file)):
use_stdin = stdin_file
else:
use_stdin = '/dev/null'
run_stdout = add_suffix(name,'run.stdout')
run_stderr = add_suffix(name,'run.stderr')
rm_no_fail(qualify(name,'run.stdout'))
rm_no_fail(qualify(name,'run.stderr'))
rm_no_fail(qualify(name, 'hp'))
rm_no_fail(qualify(name,'ps'))
rm_no_fail(qualify(name, 'prof'))
my_rts_flags = rts_flags(way)
stats_file = name + '.stats'
if len(opts.stats_range_fields) > 0:
args += ' +RTS -V0 -t' + stats_file + ' --machine-readable -RTS'
if opts.no_stdin:
stdin_comes_from = ''
else:
stdin_comes_from = ' <' + use_stdin
if opts.combined_output:
redirection = ' > {0} 2>&1'.format(run_stdout)
redirection_append = ' >> {0} 2>&1'.format(run_stdout)
else:
redirection = ' > {0} 2> {1}'.format(run_stdout, run_stderr)
redirection_append = ' >> {0} 2>> {1}'.format(run_stdout, run_stderr)
cmd = prog + ' ' + args + ' ' \
+ my_rts_flags + ' ' \
+ stdin_comes_from \
+ redirection
if opts.cmd_wrapper != None:
cmd = opts.cmd_wrapper(cmd) + redirection_append
cmd = 'cd ' + opts.testdir + ' && ' + cmd
# run the command
result = runCmdFor(name, cmd, timeout_multiplier=opts.timeout_multiplier)
exit_code = result >> 8
signal = result & 0xff
# check the exit code
if exit_code != opts.exit_code:
print('Wrong exit code (expected', opts.exit_code, ', actual', exit_code, ')')
dump_stdout(name)
dump_stderr(name)
return failBecause('bad exit code')
check_hp = my_rts_flags.find("-h") != -1
check_prof = my_rts_flags.find("-p") != -1
if not opts.ignore_output:
bad_stderr = not opts.combined_output and not check_stderr_ok(name, way)
bad_stdout = not check_stdout_ok(name, way)
if bad_stderr:
return failBecause('bad stderr')
if bad_stdout:
return failBecause('bad stdout')
# exit_code > 127 probably indicates a crash, so don't try to run hp2ps.
if check_hp and (exit_code <= 127 or exit_code == 251) and not check_hp_ok(name):
return failBecause('bad heap profile')
if check_prof and not check_prof_ok(name, way):
return failBecause('bad profile')
return checkStats(name, way, stats_file, opts.stats_range_fields)
def rts_flags(way):
if (way == ''):
return ''
else:
args = config.way_rts_flags[way]
if args == []:
return ''
else:
return '+RTS ' + ' '.join(args) + ' -RTS'
# -----------------------------------------------------------------------------
# Run a program in the interpreter and check its output
def interpreter_run( name, way, extra_hc_opts, compile_only, top_mod ):
outname = add_suffix(name, 'interp.stdout')
errname = add_suffix(name, 'interp.stderr')
rm_no_fail(outname)
rm_no_fail(errname)
rm_no_fail(name)
if (top_mod == ''):
srcname = add_hs_lhs_suffix(name)
else:
srcname = top_mod
scriptname = add_suffix(name, 'genscript')
qscriptname = in_testdir(scriptname)
rm_no_fail(qscriptname)
delimiter = '===== program output begins here\n'
script = open(qscriptname, 'w')
if not compile_only:
# set the prog name and command-line args to match the compiled
# environment.
script.write(':set prog ' + name + '\n')
script.write(':set args ' + getTestOpts().extra_run_opts + '\n')
# Add marker lines to the stdout and stderr output files, so we
# can separate GHCi's output from the program's.
script.write(':! echo ' + delimiter)
script.write(':! echo 1>&2 ' + delimiter)
# Set stdout to be line-buffered to match the compiled environment.
script.write('System.IO.hSetBuffering System.IO.stdout System.IO.LineBuffering\n')
# wrapping in GHC.TopHandler.runIO ensures we get the same output
# in the event of an exception as for the compiled program.
script.write('GHC.TopHandler.runIOFastExit Main.main Prelude.>> Prelude.return ()\n')
script.close()
# figure out what to use for stdin
if getTestOpts().stdin != '':
stdin_file = in_testdir(getTestOpts().stdin)
else:
stdin_file = qualify(name, 'stdin')
if os.path.exists(stdin_file):
stdin = open(stdin_file, 'r')
os.system('cat ' + stdin_file + ' >>' + qscriptname)
script.close()
flags = ' '.join(get_compiler_flags(override_flags=None, noforce=False) +
config.way_flags(name)[way])
if getTestOpts().combined_output:
redirection = ' > {0} 2>&1'.format(outname)
redirection_append = ' >> {0} 2>&1'.format(outname)
else:
redirection = ' > {0} 2> {1}'.format(outname, errname)
redirection_append = ' >> {0} 2>> {1}'.format(outname, errname)
cmd = ('{{compiler}} {srcname} {flags} {extra_hc_opts} '
'< {scriptname} {redirection}'
).format(**locals())
if getTestOpts().cmd_wrapper != None:
cmd = getTestOpts().cmd_wrapper(cmd) + redirection_append;
cmd = 'cd ' + getTestOpts().testdir + " && " + cmd
result = runCmdFor(name, cmd, timeout_multiplier=getTestOpts().timeout_multiplier)
exit_code = result >> 8
signal = result & 0xff
# split the stdout into compilation/program output
split_file(in_testdir(outname), delimiter,
qualify(name, 'comp.stdout'),
qualify(name, 'run.stdout'))
split_file(in_testdir(errname), delimiter,
qualify(name, 'comp.stderr'),
qualify(name, 'run.stderr'))
# check the exit code
if exit_code != getTestOpts().exit_code:
print('Wrong exit code (expected', getTestOpts().exit_code, ', actual', exit_code, ')')
dump_stdout(name)
dump_stderr(name)
return failBecause('bad exit code')
# ToDo: if the sub-shell was killed by ^C, then exit
if getTestOpts().ignore_output or (check_stderr_ok(name, way) and
check_stdout_ok(name, way)):
return passed()
else:
return failBecause('bad stdout or stderr')
def split_file(in_fn, delimiter, out1_fn, out2_fn):
infile = open(in_fn)
out1 = open(out1_fn, 'w')
out2 = open(out2_fn, 'w')
line = infile.readline()
line = re.sub('\r', '', line) # ignore Windows EOL
while (re.sub('^\s*','',line) != delimiter and line != ''):
out1.write(line)
line = infile.readline()
line = re.sub('\r', '', line)
out1.close()
line = infile.readline()
while (line != ''):
out2.write(line)
line = infile.readline()
out2.close()
# -----------------------------------------------------------------------------
# Utils
def get_compiler_flags(override_flags, noforce):
opts = getTestOpts()
if override_flags is not None:
flags = copy.copy(override_flags)
else:
flags = copy.copy(opts.compiler_always_flags)
if noforce:
flags = [f for f in flags if f != '-fforce-recomp']
flags.append(opts.extra_hc_opts)
if opts.outputdir != None:
flags.extend(["-outputdir", opts.outputdir])
return flags
def check_stdout_ok(name, way):
if getTestOpts().with_namebase == None:
namebase = name
else:
namebase = getTestOpts().with_namebase
actual_stdout_file = qualify(name, 'run.stdout')
(platform_specific, expected_stdout_file) = platform_wordsize_qualify(namebase, 'stdout')
def norm(str):
if platform_specific:
return str
else:
return normalise_output(str)
extra_norm = join_normalisers(norm, getTestOpts().extra_normaliser)
check_stdout = getTestOpts().check_stdout
if check_stdout:
return check_stdout(actual_stdout_file, extra_norm)
return compare_outputs(way, 'stdout', extra_norm,
expected_stdout_file, actual_stdout_file)
def dump_stdout( name ):
print('Stdout:')
print(read_no_crs(qualify(name, 'run.stdout')))
def check_stderr_ok(name, way):
if getTestOpts().with_namebase == None:
namebase = name
else:
namebase = getTestOpts().with_namebase
actual_stderr_file = qualify(name, 'run.stderr')
(platform_specific, expected_stderr_file) = platform_wordsize_qualify(namebase, 'stderr')
def norm(str):
if platform_specific:
return str
else:
return normalise_errmsg(str)
return compare_outputs(way, 'stderr',
join_normalisers(norm, getTestOpts().extra_errmsg_normaliser), \
expected_stderr_file, actual_stderr_file)
def dump_stderr( name ):
print("Stderr:")
print(read_no_crs(qualify(name, 'run.stderr')))
def read_no_crs(file):
str = ''
try:
h = open(file)
str = h.read()
h.close
except:
# On Windows, if the program fails very early, it seems the
# files stdout/stderr are redirected to may not get created
pass
return re.sub('\r', '', str)
def write_file(file, str):
h = open(file, 'w')
h.write(str)
h.close
def check_hp_ok(name):
# do not qualify for hp2ps because we should be in the right directory
hp2psCmd = "cd " + getTestOpts().testdir + " && {hp2ps} " + name
hp2psResult = runCmdExitCode(hp2psCmd)
actual_ps_file = qualify(name, 'ps')
if(hp2psResult == 0):
if (os.path.exists(actual_ps_file)):
if gs_working:
gsResult = runCmdExitCode(genGSCmd(actual_ps_file))
if (gsResult == 0):
return (True)
else:
print("hp2ps output for " + name + "is not valid PostScript")
else: return (True) # assume postscript is valid without ghostscript
else:
print("hp2ps did not generate PostScript for " + name)
return (False)
else:
print("hp2ps error when processing heap profile for " + name)
return(False)
def check_prof_ok(name, way):
prof_file = qualify(name,'prof')
if not os.path.exists(prof_file):
print(prof_file + " does not exist")
return(False)
if os.path.getsize(qualify(name,'prof')) == 0:
print(prof_file + " is empty")
return(False)
if getTestOpts().with_namebase == None:
namebase = name
else:
namebase = getTestOpts().with_namebase
(platform_specific, expected_prof_file) = \
platform_wordsize_qualify(namebase, 'prof.sample')
# sample prof file is not required
if not os.path.exists(expected_prof_file):
return True
else:
return compare_outputs(way, 'prof',
join_normalisers(normalise_whitespace,normalise_prof), \
expected_prof_file, prof_file)
# Compare expected output to actual output, and optionally accept the
# new output. Returns true if output matched or was accepted, false
# otherwise.
def compare_outputs(way, kind, normaliser, expected_file, actual_file):
if os.path.exists(expected_file):
expected_raw = read_no_crs(expected_file)
# print "norm:", normaliser(expected_raw)
expected_str = normaliser(expected_raw)
expected_file_for_diff = expected_file
else:
expected_str = ''
expected_file_for_diff = '/dev/null'
actual_raw = read_no_crs(actual_file)
actual_str = normaliser(actual_raw)
if expected_str == actual_str:
return 1
else:
if_verbose(1, 'Actual ' + kind + ' output differs from expected:')
if expected_file_for_diff == '/dev/null':
expected_normalised_file = '/dev/null'
else:
expected_normalised_file = expected_file + ".normalised"
write_file(expected_normalised_file, expected_str)
actual_normalised_file = actual_file + ".normalised"
write_file(actual_normalised_file, actual_str)
# Ignore whitespace when diffing. We should only get to this
# point if there are non-whitespace differences
#
# Note we are diffing the *actual* output, not the normalised
# output. The normalised output may have whitespace squashed
# (including newlines) so the diff would be hard to read.
# This does mean that the diff might contain changes that
# would be normalised away.
if (config.verbose >= 1):
r = os.system( 'diff -uw ' + expected_file_for_diff + \
' ' + actual_file )
# If for some reason there were no non-whitespace differences,
# then do a full diff
if r == 0:
r = os.system( 'diff -u ' + expected_file_for_diff + \
' ' + actual_file )
if config.accept and (getTestOpts().expect == 'fail' or
way in getTestOpts().expect_fail_for):
if_verbose(1, 'Test is expected to fail. Not accepting new output.')
return 0
elif config.accept:
if_verbose(1, 'Accepting new output.')
write_file(expected_file, actual_raw)
return 1
else:
return 0
def normalise_whitespace( str ):
# Merge contiguous whitespace characters into a single space.
str = re.sub('[ \t\n]+', ' ', str)
return str
def normalise_errmsg( str ):
# remove " error:" and lower-case " Warning:" to make patch for
# trac issue #10021 smaller
str = modify_lines(str, lambda l: re.sub(' error:', '', l))
str = modify_lines(str, lambda l: re.sub(' Warning:', ' warning:', l))
# If somefile ends in ".exe" or ".exe:", zap ".exe" (for Windows)
# the colon is there because it appears in error messages; this
# hacky solution is used in place of more sophisticated filename
# mangling
str = re.sub('([^\\s])\\.exe', '\\1', str)
# normalise slashes, minimise Windows/Unix filename differences
str = re.sub('\\\\', '/', str)
# The inplace ghc's are called ghc-stage[123] to avoid filename
# collisions, so we need to normalise that to just "ghc"
str = re.sub('ghc-stage[123]', 'ghc', str)
# Error messages simetimes contain integer implementation package
str = re.sub('integer-(gmp|simple)-[0-9.]+', 'integer-<IMPL>-<VERSION>', str)
return str
# normalise a .prof file, so that we can reasonably compare it against
# a sample. This doesn't compare any of the actual profiling data,
# only the shape of the profile and the number of entries.
def normalise_prof (str):
# strip everything up to the line beginning "COST CENTRE"
str = re.sub('^(.*\n)*COST CENTRE[^\n]*\n','',str)
# strip results for CAFs, these tend to change unpredictably
str = re.sub('[ \t]*(CAF|IDLE).*\n','',str)
# XXX Ignore Main.main. Sometimes this appears under CAF, and
# sometimes under MAIN.
str = re.sub('[ \t]*main[ \t]+Main.*\n','',str)
# We have somthing like this:
# MAIN MAIN 101 0 0.0 0.0 100.0 100.0
# k Main 204 1 0.0 0.0 0.0 0.0
# foo Main 205 1 0.0 0.0 0.0 0.0
# foo.bar Main 207 1 0.0 0.0 0.0 0.0
# then we remove all the specific profiling data, leaving only the
# cost centre name, module, and entries, to end up with this:
# MAIN MAIN 0
# k Main 1
# foo Main 1
# foo.bar Main 1
str = re.sub('\n([ \t]*[^ \t]+)([ \t]+[^ \t]+)([ \t]+\\d+)([ \t]+\\d+)[ \t]+([\\d\\.]+)[ \t]+([\\d\\.]+)[ \t]+([\\d\\.]+)[ \t]+([\\d\\.]+)','\n\\1 \\2 \\4',str)
return str
def normalise_slashes_( str ):
str = re.sub('\\\\', '/', str)
return str
def normalise_exe_( str ):
str = re.sub('\.exe', '', str)
return str
def normalise_output( str ):
# remove " error:" and lower-case " Warning:" to make patch for
# trac issue #10021 smaller
str = modify_lines(str, lambda l: re.sub(' error:', '', l))
str = modify_lines(str, lambda l: re.sub(' Warning:', ' warning:', l))
# Remove a .exe extension (for Windows)
# This can occur in error messages generated by the program.
str = re.sub('([^\\s])\\.exe', '\\1', str)
return str
def normalise_asm( str ):
lines = str.split('\n')
# Only keep instructions and labels not starting with a dot.
metadata = re.compile('^[ \t]*\\..*$')
out = []
for line in lines:
# Drop metadata directives (e.g. ".type")
if not metadata.match(line):
line = re.sub('@plt', '', line)
instr = line.lstrip().split()
# Drop empty lines.
if not instr:
continue
# Drop operands, except for call instructions.
elif instr[0] == 'call':
out.append(instr[0] + ' ' + instr[1])
else:
out.append(instr[0])
out = '\n'.join(out)
return out
def if_verbose( n, s ):
if config.verbose >= n:
print(s)
def if_verbose_dump( n, f ):
if config.verbose >= n:
try:
print(open(f).read())
except:
print('')
def rawSystem(cmd_and_args):
# We prefer subprocess.call to os.spawnv as the latter
# seems to send its arguments through a shell or something
# with the Windows (non-cygwin) python. An argument "a b c"
# turns into three arguments ["a", "b", "c"].
cmd = cmd_and_args[0]
return subprocess.call([strip_quotes(cmd)] + cmd_and_args[1:])
# When running under native msys Python, any invocations of non-msys binaries,
# including timeout.exe, will have their arguments munged according to some
# heuristics, which leads to malformed command lines (#9626). The easiest way
# to avoid problems is to invoke through /usr/bin/cmd which sidesteps argument
# munging because it is a native msys application.
def passThroughCmd(cmd_and_args):
args = []
# cmd needs a Windows-style path for its first argument.
args.append(cmd_and_args[0].replace('/', '\\'))
# Other arguments need to be quoted to deal with spaces.
args.extend(['"%s"' % arg for arg in cmd_and_args[1:]])
return ["cmd", "/c", " ".join(args)]
# Note that this doesn't handle the timeout itself; it is just used for
# commands that have timeout handling built-in.
def rawSystemWithTimeout(cmd_and_args):
if config.os == 'mingw32' and sys.executable.startswith('/usr'):
# This is only needed when running under msys python.
cmd_and_args = passThroughCmd(cmd_and_args)
r = rawSystem(cmd_and_args)
if r == 98:
# The python timeout program uses 98 to signal that ^C was pressed
stopNow()
return r
# cmd is a complex command in Bourne-shell syntax
# e.g (cd . && 'c:/users/simonpj/darcs/HEAD/compiler/stage1/ghc-inplace' ...etc)
# Hence it must ultimately be run by a Bourne shell
#
# Mostly it invokes the command wrapped in 'timeout' thus
# timeout 300 'cd . && ...blah blah'
# so it's timeout's job to invoke the Bourne shell
#
# But watch out for the case when there is no timeout program!
# Then, when using the native Python, os.system will invoke the cmd shell
def runCmd( cmd ):
# Format cmd using config. Example: cmd='{hpc} report A.tix'
cmd = cmd.format(**config.__dict__)
if_verbose( 3, cmd )
r = 0
if config.os == 'mingw32':
# On MinGW, we will always have timeout
assert config.timeout_prog!=''
if config.timeout_prog != '':
r = rawSystemWithTimeout([config.timeout_prog, str(config.timeout), cmd])
else:
r = os.system(cmd)
return r << 8
def runCmdFor( name, cmd, timeout_multiplier=1.0 ):
# Format cmd using config. Example: cmd='{hpc} report A.tix'
cmd = cmd.format(**config.__dict__)
if_verbose( 3, cmd )
r = 0
if config.os == 'mingw32':
# On MinGW, we will always have timeout
assert config.timeout_prog!=''
timeout = int(ceil(config.timeout * timeout_multiplier))
if config.timeout_prog != '':
if config.check_files_written:
fn = name + ".strace"
r = rawSystemWithTimeout(
["strace", "-o", fn, "-fF",
"-e", "creat,open,chdir,clone,vfork",
config.timeout_prog, str(timeout), cmd])
addTestFilesWritten(name, fn)
rm_no_fail(fn)
else:
r = rawSystemWithTimeout([config.timeout_prog, str(timeout), cmd])
else:
r = os.system(cmd)
return r << 8
def runCmdExitCode( cmd ):
return (runCmd(cmd) >> 8);
# -----------------------------------------------------------------------------
# checking for files being written to by multiple tests
re_strace_call_end = '(\) += ([0-9]+|-1 E.*)| <unfinished ...>)$'
re_strace_unavailable = re.compile('^\) += \? <unavailable>$')
re_strace_pid = re.compile('^([0-9]+) +(.*)')
re_strace_clone = re.compile('^(clone\(|<... clone resumed> ).*\) = ([0-9]+)$')
re_strace_clone_unfinished = re.compile('^clone\( <unfinished \.\.\.>$')
re_strace_vfork = re.compile('^(vfork\(\)|<\.\.\. vfork resumed> \)) += ([0-9]+)$')
re_strace_vfork_unfinished = re.compile('^vfork\( <unfinished \.\.\.>$')
re_strace_chdir = re.compile('^chdir\("([^"]*)"(\) += 0| <unfinished ...>)$')
re_strace_chdir_resumed = re.compile('^<\.\.\. chdir resumed> \) += 0$')
re_strace_open = re.compile('^open\("([^"]*)", ([A-Z_|]*)(, [0-9]+)?' + re_strace_call_end)
re_strace_open_resumed = re.compile('^<... open resumed> ' + re_strace_call_end)
re_strace_ignore_sigchild = re.compile('^--- SIGCHLD \(Child exited\) @ 0 \(0\) ---$')
re_strace_ignore_sigvtalarm = re.compile('^--- SIGVTALRM \(Virtual timer expired\) @ 0 \(0\) ---$')
re_strace_ignore_sigint = re.compile('^--- SIGINT \(Interrupt\) @ 0 \(0\) ---$')
re_strace_ignore_sigfpe = re.compile('^--- SIGFPE \(Floating point exception\) @ 0 \(0\) ---$')
re_strace_ignore_sigsegv = re.compile('^--- SIGSEGV \(Segmentation fault\) @ 0 \(0\) ---$')
re_strace_ignore_sigpipe = re.compile('^--- SIGPIPE \(Broken pipe\) @ 0 \(0\) ---$')
# Files that are read or written but shouldn't be:
# * ghci_history shouldn't be read or written by tests
# * things under package.conf.d shouldn't be written by tests
bad_file_usages = {}
# Mapping from tests to the list of files that they write
files_written = {}
# Mapping from tests to the list of files that they write but don't clean
files_written_not_removed = {}
def add_bad_file_usage(name, file):
try:
if not file in bad_file_usages[name]:
bad_file_usages[name].append(file)
except:
bad_file_usages[name] = [file]
def mkPath(curdir, path):
# Given the current full directory is 'curdir', what is the full
# path to 'path'?
return os.path.realpath(os.path.join(curdir, path))
def addTestFilesWritten(name, fn):
if config.use_threads:
with t.lockFilesWritten:
addTestFilesWrittenHelper(name, fn)
else:
addTestFilesWrittenHelper(name, fn)
def addTestFilesWrittenHelper(name, fn):
started = False
working_directories = {}
with open(fn, 'r') as f:
for line in f:
m_pid = re_strace_pid.match(line)
if m_pid:
pid = m_pid.group(1)
content = m_pid.group(2)
elif re_strace_unavailable.match(line):
next
else:
framework_fail(name, 'strace', "Can't find pid in strace line: " + line)
m_open = re_strace_open.match(content)
m_chdir = re_strace_chdir.match(content)
m_clone = re_strace_clone.match(content)
m_vfork = re_strace_vfork.match(content)
if not started:
working_directories[pid] = os.getcwd()
started = True
if m_open:
file = m_open.group(1)
file = mkPath(working_directories[pid], file)
if file.endswith("ghci_history"):
add_bad_file_usage(name, file)
elif not file in ['/dev/tty', '/dev/null'] and not file.startswith("/tmp/ghc"):
flags = m_open.group(2).split('|')
if 'O_WRONLY' in flags or 'O_RDWR' in flags:
if re.match('package\.conf\.d', file):
add_bad_file_usage(name, file)
else:
try:
if not file in files_written[name]:
files_written[name].append(file)
except:
files_written[name] = [file]
elif 'O_RDONLY' in flags:
pass
else:
framework_fail(name, 'strace', "Can't understand flags in open strace line: " + line)
elif m_chdir:
# We optimistically assume that unfinished chdir's are going to succeed
dir = m_chdir.group(1)
working_directories[pid] = mkPath(working_directories[pid], dir)
elif m_clone:
working_directories[m_clone.group(2)] = working_directories[pid]
elif m_vfork:
working_directories[m_vfork.group(2)] = working_directories[pid]
elif re_strace_open_resumed.match(content):
pass
elif re_strace_chdir_resumed.match(content):
pass
elif re_strace_vfork_unfinished.match(content):
pass
elif re_strace_clone_unfinished.match(content):
pass
elif re_strace_ignore_sigchild.match(content):
pass
elif re_strace_ignore_sigvtalarm.match(content):
pass
elif re_strace_ignore_sigint.match(content):
pass
elif re_strace_ignore_sigfpe.match(content):
pass
elif re_strace_ignore_sigsegv.match(content):
pass
elif re_strace_ignore_sigpipe.match(content):
pass
else:
framework_fail(name, 'strace', "Can't understand strace line: " + line)
def checkForFilesWrittenProblems(file):
foundProblem = False
files_written_inverted = {}
for t in files_written.keys():
for f in files_written[t]:
try:
files_written_inverted[f].append(t)
except:
files_written_inverted[f] = [t]
for f in files_written_inverted.keys():
if len(files_written_inverted[f]) > 1:
if not foundProblem:
foundProblem = True
file.write("\n")
file.write("\nSome files are written by multiple tests:\n")
file.write(" " + f + " (" + str(files_written_inverted[f]) + ")\n")
if foundProblem:
file.write("\n")
# -----
if len(files_written_not_removed) > 0:
file.write("\n")
file.write("\nSome files written but not removed:\n")
tests = list(files_written_not_removed.keys())
tests.sort()
for t in tests:
for f in files_written_not_removed[t]:
file.write(" " + t + ": " + f + "\n")
file.write("\n")
# -----
if len(bad_file_usages) > 0:
file.write("\n")
file.write("\nSome bad file usages:\n")
tests = list(bad_file_usages.keys())
tests.sort()
for t in tests:
for f in bad_file_usages[t]:
file.write(" " + t + ": " + f + "\n")
file.write("\n")
# -----------------------------------------------------------------------------
# checking if ghostscript is available for checking the output of hp2ps
def genGSCmd(psfile):
return (config.gs + ' -dNODISPLAY -dBATCH -dQUIET -dNOPAUSE ' + psfile);
def gsNotWorking():
global gs_working
print("GhostScript not available for hp2ps tests")
global gs_working
gs_working = 0
if config.have_profiling:
if config.gs != '':
resultGood = runCmdExitCode(genGSCmd(config.confdir + '/good.ps'));
if resultGood == 0:
resultBad = runCmdExitCode(genGSCmd(config.confdir + '/bad.ps') +
' >/dev/null 2>&1')
if resultBad != 0:
print("GhostScript available for hp2ps tests")
gs_working = 1;
else:
gsNotWorking();
else:
gsNotWorking();
else:
gsNotWorking();
def rm_no_fail( file ):
try:
os.remove( file )
finally:
return
def add_suffix( name, suffix ):
if suffix == '':
return name
else:
return name + '.' + suffix
def add_hs_lhs_suffix(name):
if getTestOpts().c_src:
return add_suffix(name, 'c')
elif getTestOpts().cmm_src:
return add_suffix(name, 'cmm')
elif getTestOpts().objc_src:
return add_suffix(name, 'm')
elif getTestOpts().objcpp_src:
return add_suffix(name, 'mm')
elif getTestOpts().literate:
return add_suffix(name, 'lhs')
else:
return add_suffix(name, 'hs')
def replace_suffix( name, suffix ):
base, suf = os.path.splitext(name)
return base + '.' + suffix
def in_testdir( name ):
return (getTestOpts().testdir + '/' + name)
def qualify( name, suff ):
return in_testdir(add_suffix(name, suff))
# Finding the sample output. The filename is of the form
#
# <test>.stdout[-<compiler>][-<version>][-ws-<wordsize>][-<platform>]
#
# and we pick the most specific version available. The <version> is
# the major version of the compiler (e.g. 6.8.2 would be "6.8"). For
# more fine-grained control use if_compiler_lt().
#
def platform_wordsize_qualify( name, suff ):
basepath = qualify(name, suff)
paths = [(platformSpecific, basepath + comp + vers + ws + plat)
for (platformSpecific, plat) in [(1, '-' + config.platform),
(1, '-' + config.os),
(0, '')]
for ws in ['-ws-' + config.wordsize, '']
for comp in ['-' + config.compiler_type, '']
for vers in ['-' + config.compiler_maj_version, '']]
dir = glob.glob(basepath + '*')
dir = [normalise_slashes_(d) for d in dir]
for (platformSpecific, f) in paths:
if f in dir:
return (platformSpecific,f)
return (0, basepath)
# Clean up prior to the test, so that we can't spuriously conclude
# that it passed on the basis of old run outputs.
def pretest_cleanup(name):
if getTestOpts().outputdir != None:
odir = in_testdir(getTestOpts().outputdir)
try:
shutil.rmtree(odir)
except:
pass
os.mkdir(odir)
rm_no_fail(qualify(name,'interp.stderr'))
rm_no_fail(qualify(name,'interp.stdout'))
rm_no_fail(qualify(name,'comp.stderr'))
rm_no_fail(qualify(name,'comp.stdout'))
rm_no_fail(qualify(name,'run.stderr'))
rm_no_fail(qualify(name,'run.stdout'))
rm_no_fail(qualify(name,'tix'))
rm_no_fail(qualify(name,'exe.tix'))
# simple_build zaps the following:
# rm_nofail(qualify("o"))
# rm_nofail(qualify(""))
# not interested in the return code
# -----------------------------------------------------------------------------
# Return a list of all the files ending in '.T' below directories roots.
def findTFiles(roots):
# It would be better to use os.walk, but that
# gives backslashes on Windows, which trip the
# testsuite later :-(
return [filename for root in roots for filename in findTFiles_(root)]
def findTFiles_(path):
if os.path.isdir(path):
paths = [path + '/' + x for x in os.listdir(path)]
return findTFiles(paths)
elif path[-2:] == '.T':
return [path]
else:
return []
# -----------------------------------------------------------------------------
# Output a test summary to the specified file object
def summary(t, file):
file.write('\n')
printUnexpectedTests(file, [t.unexpected_passes, t.unexpected_failures, t.unexpected_stat_failures])
file.write('OVERALL SUMMARY for test run started at '
+ time.strftime("%c %Z", t.start_time) + '\n'
+ str(datetime.timedelta(seconds=
round(time.time() - time.mktime(t.start_time)))).rjust(8)
+ ' spent to go through\n'
+ repr(t.total_tests).rjust(8)
+ ' total tests, which gave rise to\n'
+ repr(t.total_test_cases).rjust(8)
+ ' test cases, of which\n'
+ repr(t.n_tests_skipped).rjust(8)
+ ' were skipped\n'
+ '\n'
+ repr(t.n_missing_libs).rjust(8)
+ ' had missing libraries\n'
+ repr(t.n_expected_passes).rjust(8)
+ ' expected passes\n'
+ repr(t.n_expected_failures).rjust(8)
+ ' expected failures\n'
+ '\n'
+ repr(t.n_framework_failures).rjust(8)
+ ' caused framework failures\n'
+ repr(t.n_unexpected_passes).rjust(8)
+ ' unexpected passes\n'
+ repr(t.n_unexpected_failures).rjust(8)
+ ' unexpected failures\n'
+ repr(t.n_unexpected_stat_failures).rjust(8)
+ ' unexpected stat failures\n'
+ '\n')
if t.n_unexpected_passes > 0:
file.write('Unexpected passes:\n')
printPassingTestInfosSummary(file, t.unexpected_passes)
if t.n_unexpected_failures > 0:
file.write('Unexpected failures:\n')
printFailingTestInfosSummary(file, t.unexpected_failures)
if t.n_unexpected_stat_failures > 0:
file.write('Unexpected stat failures:\n')
printFailingTestInfosSummary(file, t.unexpected_stat_failures)
if config.check_files_written:
checkForFilesWrittenProblems(file)
if stopping():
file.write('WARNING: Testsuite run was terminated early\n')
def printUnexpectedTests(file, testInfoss):
unexpected = []
for testInfos in testInfoss:
directories = testInfos.keys()
for directory in directories:
tests = list(testInfos[directory].keys())
unexpected += tests
if unexpected != []:
file.write('Unexpected results from:\n')
file.write('TEST="' + ' '.join(unexpected) + '"\n')
file.write('\n')
def printPassingTestInfosSummary(file, testInfos):
directories = list(testInfos.keys())
directories.sort()
maxDirLen = max(len(x) for x in directories)
for directory in directories:
tests = list(testInfos[directory].keys())
tests.sort()
for test in tests:
file.write(' ' + directory.ljust(maxDirLen + 2) + test + \
' (' + ','.join(testInfos[directory][test]) + ')\n')
file.write('\n')
def printFailingTestInfosSummary(file, testInfos):
directories = list(testInfos.keys())
directories.sort()
maxDirLen = max(len(d) for d in directories)
for directory in directories:
tests = list(testInfos[directory].keys())
tests.sort()
for test in tests:
reasons = testInfos[directory][test].keys()
for reason in reasons:
file.write(' ' + directory.ljust(maxDirLen + 2) + test + \
' [' + reason + ']' + \
' (' + ','.join(testInfos[directory][test][reason]) + ')\n')
file.write('\n')
def modify_lines(s, f):
return '\n'.join([f(l) for l in s.splitlines()])
|
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__author__ = 'lothilius'
import sys
import time
from Wordlist import *
from Permutations import *
def main():
while True:
try:
inputFileName = input("Enter full path of scrambled word list:")
f = open(inputFileName)
break
except FileNotFoundError:
print("\nThe directory is invalid. Please try again.")
start = time.time()
print("\nUsing binary tree wordList.")
wordList = BinaryTreeWordList()
print("Creating wordList.", end="\n")
# We only add words to the Wordlist if they have 5 or 6 letters.
wordList.addWordsFromFile(inputFileName, lambda x: len(x) in [4, 13])
print("The Wordlist contains ", len(wordList), " words.")
end = time.time()
print("Building the Wordlist took %2.3f seconds" % (end - start))
# Execute this loop until the user decides to exit.
start = time.time()
while True:
word = input("\nEnter a scrambled word (or EXIT): ")
word = word.strip().lower()
# See if the word contains bad characters.
if not word.isalpha():
print("Word contains illegal characters. Try again")
continue
# Should we terminate
elif word == 'exit':
print("\nThanks for playing! Goodbye.", end="\n\n")
break
# There's no need searching the Wordlist if the word isn't
# a plausible length.
elif not len(word) in range(4, 13):
print( "Word must have 4 to 13 letters. Try again")
continue
else:
break
# Create a list of all permutations of the input
# string.
# print out how many unique perms there are.
permsCount, uniquePermsCount = Permutations.howManyPerms(word)
print("Found ", permsCount, "permutations; ", uniquePermsCount, "unique permutations")
# We're going to check how many permutations we generated, and
# how many comparisons were made against words in the wordList.
permutationsChecked = 0
comparisonsMade = 0
# Iterate through the permutations until you find one that is
# in the wordList, or fail if there are no hits.
found = False
for p in Permutations.allPerms(word):
permutationsChecked += 1
permInList, comparisons = wordList.findWord(p)
comparisonsMade += comparisons
if permInList:
print("Found word: " + p)
found = True
# With the break, stops after the first hit. Without it,
# this tries all of the permutations.
break
if not found:
print("Sorry. I can't solve this jumble! Try again.")
end = time.time()
# Print out the stats on this attempt.
print("Solving this jumble took %2.5f seconds" % (end - start))
print("Checked ", permutationsChecked, " permutations.")
print("Made ", comparisonsMade, " comparisons.")
main()
|
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from datetime import datetime
from airflow.decorators import task
from airflow.models import DAG
from airflow.providers.microsoft.azure.hooks.fileshare import AzureFileShareHook
NAME = 'myfileshare'
DIRECTORY = "mydirectory"
@task
def create_fileshare():
"""Create a fileshare with directory"""
hook = AzureFileShareHook()
hook.create_share(NAME)
hook.create_directory(share_name=NAME, directory_name=DIRECTORY)
exists = hook.check_for_directory(share_name=NAME, directory_name=DIRECTORY)
if not exists:
raise Exception
@task
def delete_fileshare():
"""Delete a fileshare"""
hook = AzureFileShareHook()
hook.delete_share(NAME)
with DAG(
"example_fileshare",
schedule_interval="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
) as dag:
create_fileshare() >> delete_fileshare()
|
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from django.contrib.admin import ModelAdmin, TabularInline
from django.contrib.admin.helpers import InlineAdminForm
from django.contrib.admin.tests import AdminSeleniumTestCase
from django.contrib.auth.models import Permission, User
from django.contrib.contenttypes.models import ContentType
from django.test import RequestFactory, TestCase, override_settings
from django.urls import reverse
from .admin import InnerInline, site as admin_site
from .models import (
Author, BinaryTree, Book, Chapter, Child, ChildModel1, ChildModel2,
Fashionista, FootNote, Holder, Holder2, Holder3, Holder4, Inner, Inner2,
Inner3, Inner4Stacked, Inner4Tabular, Novel, OutfitItem, Parent,
ParentModelWithCustomPk, Person, Poll, Profile, ProfileCollection,
Question, Sighting, SomeChildModel, SomeParentModel, Teacher,
)
INLINE_CHANGELINK_HTML = 'class="inlinechangelink">Change</a>'
class TestDataMixin:
@classmethod
def setUpTestData(cls):
cls.superuser = User.objects.create_superuser(username='super', email='super@example.com', password='secret')
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class TestInline(TestDataMixin, TestCase):
factory = RequestFactory()
@classmethod
def setUpTestData(cls):
super().setUpTestData()
cls.holder = Holder.objects.create(dummy=13)
Inner.objects.create(dummy=42, holder=cls.holder)
def setUp(self):
self.client.force_login(self.superuser)
def test_can_delete(self):
"""
can_delete should be passed to inlineformset factory.
"""
response = self.client.get(
reverse('admin:admin_inlines_holder_change', args=(self.holder.id,))
)
inner_formset = response.context['inline_admin_formsets'][0].formset
expected = InnerInline.can_delete
actual = inner_formset.can_delete
self.assertEqual(expected, actual, 'can_delete must be equal')
def test_readonly_stacked_inline_label(self):
"""Bug #13174."""
holder = Holder.objects.create(dummy=42)
Inner.objects.create(holder=holder, dummy=42, readonly='')
response = self.client.get(
reverse('admin:admin_inlines_holder_change', args=(holder.id,))
)
self.assertContains(response, '<label>Inner readonly label:</label>')
def test_many_to_many_inlines(self):
"Autogenerated many-to-many inlines are displayed correctly (#13407)"
response = self.client.get(reverse('admin:admin_inlines_author_add'))
# The heading for the m2m inline block uses the right text
self.assertContains(response, '<h2>Author-book relationships</h2>')
# The "add another" label is correct
self.assertContains(response, 'Add another Author-book relationship')
# The '+' is dropped from the autogenerated form prefix (Author_books+)
self.assertContains(response, 'id="id_Author_books-TOTAL_FORMS"')
def test_inline_primary(self):
person = Person.objects.create(firstname='Imelda')
item = OutfitItem.objects.create(name='Shoes')
# Imelda likes shoes, but can't carry her own bags.
data = {
'shoppingweakness_set-TOTAL_FORMS': 1,
'shoppingweakness_set-INITIAL_FORMS': 0,
'shoppingweakness_set-MAX_NUM_FORMS': 0,
'_save': 'Save',
'person': person.id,
'max_weight': 0,
'shoppingweakness_set-0-item': item.id,
}
response = self.client.post(reverse('admin:admin_inlines_fashionista_add'), data)
self.assertEqual(response.status_code, 302)
self.assertEqual(len(Fashionista.objects.filter(person__firstname='Imelda')), 1)
def test_tabular_inline_column_css_class(self):
"""
Field names are included in the context to output a field-specific
CSS class name in the column headers.
"""
response = self.client.get(reverse('admin:admin_inlines_poll_add'))
text_field, call_me_field = list(response.context['inline_admin_formset'].fields())
# Editable field.
self.assertEqual(text_field['name'], 'text')
self.assertContains(response, '<th class="column-text required">')
# Read-only field.
self.assertEqual(call_me_field['name'], 'call_me')
self.assertContains(response, '<th class="column-call_me">')
def test_custom_form_tabular_inline_label(self):
"""
A model form with a form field specified (TitleForm.title1) should have
its label rendered in the tabular inline.
"""
response = self.client.get(reverse('admin:admin_inlines_titlecollection_add'))
self.assertContains(response, '<th class="column-title1 required">Title1</th>', html=True)
def test_custom_form_tabular_inline_overridden_label(self):
"""
SomeChildModelForm.__init__() overrides the label of a form field.
That label is displayed in the TabularInline.
"""
response = self.client.get(reverse('admin:admin_inlines_someparentmodel_add'))
field = list(response.context['inline_admin_formset'].fields())[0]
self.assertEqual(field['label'], 'new label')
self.assertContains(response, '<th class="column-name required">New label</th>', html=True)
def test_tabular_non_field_errors(self):
"""
non_field_errors are displayed correctly, including the correct value
for colspan.
"""
data = {
'title_set-TOTAL_FORMS': 1,
'title_set-INITIAL_FORMS': 0,
'title_set-MAX_NUM_FORMS': 0,
'_save': 'Save',
'title_set-0-title1': 'a title',
'title_set-0-title2': 'a different title',
}
response = self.client.post(reverse('admin:admin_inlines_titlecollection_add'), data)
# Here colspan is "4": two fields (title1 and title2), one hidden field and the delete checkbox.
self.assertContains(
response,
'<tr><td colspan="4"><ul class="errorlist nonfield">'
'<li>The two titles must be the same</li></ul></td></tr>'
)
def test_no_parent_callable_lookup(self):
"""Admin inline `readonly_field` shouldn't invoke parent ModelAdmin callable"""
# Identically named callable isn't present in the parent ModelAdmin,
# rendering of the add view shouldn't explode
response = self.client.get(reverse('admin:admin_inlines_novel_add'))
self.assertEqual(response.status_code, 200)
# View should have the child inlines section
self.assertContains(
response,
'<div class="js-inline-admin-formset inline-group" id="chapter_set-group"'
)
def test_callable_lookup(self):
"""Admin inline should invoke local callable when its name is listed in readonly_fields"""
response = self.client.get(reverse('admin:admin_inlines_poll_add'))
self.assertEqual(response.status_code, 200)
# Add parent object view should have the child inlines section
self.assertContains(
response,
'<div class="js-inline-admin-formset inline-group" id="question_set-group"'
)
# The right callable should be used for the inline readonly_fields
# column cells
self.assertContains(response, '<p>Callable in QuestionInline</p>')
def test_help_text(self):
"""
The inlines' model field help texts are displayed when using both the
stacked and tabular layouts.
"""
response = self.client.get(reverse('admin:admin_inlines_holder4_add'))
self.assertContains(response, '<div class="help">Awesome stacked help text is awesome.</div>', 4)
self.assertContains(
response,
'<img src="/static/admin/img/icon-unknown.svg" '
'class="help help-tooltip" width="10" height="10" '
'alt="(Awesome tabular help text is awesome.)" '
'title="Awesome tabular help text is awesome.">',
1
)
# ReadOnly fields
response = self.client.get(reverse('admin:admin_inlines_capofamiglia_add'))
self.assertContains(
response,
'<img src="/static/admin/img/icon-unknown.svg" '
'class="help help-tooltip" width="10" height="10" '
'alt="(Help text for ReadOnlyInline)" '
'title="Help text for ReadOnlyInline">',
1
)
def test_tabular_model_form_meta_readonly_field(self):
"""
Tabular inlines use ModelForm.Meta.help_texts and labels for read-only
fields.
"""
response = self.client.get(reverse('admin:admin_inlines_someparentmodel_add'))
self.assertContains(
response,
'<img src="/static/admin/img/icon-unknown.svg" '
'class="help help-tooltip" width="10" height="10" '
'alt="(Help text from ModelForm.Meta)" '
'title="Help text from ModelForm.Meta">'
)
self.assertContains(response, 'Label from ModelForm.Meta')
def test_inline_hidden_field_no_column(self):
"""#18263 -- Make sure hidden fields don't get a column in tabular inlines"""
parent = SomeParentModel.objects.create(name='a')
SomeChildModel.objects.create(name='b', position='0', parent=parent)
SomeChildModel.objects.create(name='c', position='1', parent=parent)
response = self.client.get(reverse('admin:admin_inlines_someparentmodel_change', args=(parent.pk,)))
self.assertNotContains(response, '<td class="field-position">')
self.assertInHTML(
'<input id="id_somechildmodel_set-1-position" '
'name="somechildmodel_set-1-position" type="hidden" value="1">',
response.rendered_content,
)
def test_non_related_name_inline(self):
"""
Multiple inlines with related_name='+' have correct form prefixes.
"""
response = self.client.get(reverse('admin:admin_inlines_capofamiglia_add'))
self.assertContains(response, '<input type="hidden" name="-1-0-id" id="id_-1-0-id">', html=True)
self.assertContains(
response,
'<input type="hidden" name="-1-0-capo_famiglia" id="id_-1-0-capo_famiglia">',
html=True
)
self.assertContains(
response,
'<input id="id_-1-0-name" type="text" class="vTextField" name="-1-0-name" maxlength="100">',
html=True
)
self.assertContains(response, '<input type="hidden" name="-2-0-id" id="id_-2-0-id">', html=True)
self.assertContains(
response,
'<input type="hidden" name="-2-0-capo_famiglia" id="id_-2-0-capo_famiglia">',
html=True
)
self.assertContains(
response,
'<input id="id_-2-0-name" type="text" class="vTextField" name="-2-0-name" maxlength="100">',
html=True
)
@override_settings(USE_L10N=True, USE_THOUSAND_SEPARATOR=True)
def test_localize_pk_shortcut(self):
"""
The "View on Site" link is correct for locales that use thousand
separators.
"""
holder = Holder.objects.create(pk=123456789, dummy=42)
inner = Inner.objects.create(pk=987654321, holder=holder, dummy=42, readonly='')
response = self.client.get(reverse('admin:admin_inlines_holder_change', args=(holder.id,)))
inner_shortcut = 'r/%s/%s/' % (ContentType.objects.get_for_model(inner).pk, inner.pk)
self.assertContains(response, inner_shortcut)
def test_custom_pk_shortcut(self):
"""
The "View on Site" link is correct for models with a custom primary key
field.
"""
parent = ParentModelWithCustomPk.objects.create(my_own_pk="foo", name="Foo")
child1 = ChildModel1.objects.create(my_own_pk="bar", name="Bar", parent=parent)
child2 = ChildModel2.objects.create(my_own_pk="baz", name="Baz", parent=parent)
response = self.client.get(reverse('admin:admin_inlines_parentmodelwithcustompk_change', args=('foo',)))
child1_shortcut = 'r/%s/%s/' % (ContentType.objects.get_for_model(child1).pk, child1.pk)
child2_shortcut = 'r/%s/%s/' % (ContentType.objects.get_for_model(child2).pk, child2.pk)
self.assertContains(response, child1_shortcut)
self.assertContains(response, child2_shortcut)
def test_create_inlines_on_inherited_model(self):
"""
An object can be created with inlines when it inherits another class.
"""
data = {
'name': 'Martian',
'sighting_set-TOTAL_FORMS': 1,
'sighting_set-INITIAL_FORMS': 0,
'sighting_set-MAX_NUM_FORMS': 0,
'sighting_set-0-place': 'Zone 51',
'_save': 'Save',
}
response = self.client.post(reverse('admin:admin_inlines_extraterrestrial_add'), data)
self.assertEqual(response.status_code, 302)
self.assertEqual(Sighting.objects.filter(et__name='Martian').count(), 1)
def test_custom_get_extra_form(self):
bt_head = BinaryTree.objects.create(name="Tree Head")
BinaryTree.objects.create(name="First Child", parent=bt_head)
# The maximum number of forms should respect 'get_max_num' on the
# ModelAdmin
max_forms_input = (
'<input id="id_binarytree_set-MAX_NUM_FORMS" '
'name="binarytree_set-MAX_NUM_FORMS" type="hidden" value="%d">'
)
# The total number of forms will remain the same in either case
total_forms_hidden = (
'<input id="id_binarytree_set-TOTAL_FORMS" '
'name="binarytree_set-TOTAL_FORMS" type="hidden" value="2">'
)
response = self.client.get(reverse('admin:admin_inlines_binarytree_add'))
self.assertInHTML(max_forms_input % 3, response.rendered_content)
self.assertInHTML(total_forms_hidden, response.rendered_content)
response = self.client.get(reverse('admin:admin_inlines_binarytree_change', args=(bt_head.id,)))
self.assertInHTML(max_forms_input % 2, response.rendered_content)
self.assertInHTML(total_forms_hidden, response.rendered_content)
def test_min_num(self):
"""
min_num and extra determine number of forms.
"""
class MinNumInline(TabularInline):
model = BinaryTree
min_num = 2
extra = 3
modeladmin = ModelAdmin(BinaryTree, admin_site)
modeladmin.inlines = [MinNumInline]
min_forms = (
'<input id="id_binarytree_set-MIN_NUM_FORMS" '
'name="binarytree_set-MIN_NUM_FORMS" type="hidden" value="2">'
)
total_forms = (
'<input id="id_binarytree_set-TOTAL_FORMS" '
'name="binarytree_set-TOTAL_FORMS" type="hidden" value="5">'
)
request = self.factory.get(reverse('admin:admin_inlines_binarytree_add'))
request.user = User(username='super', is_superuser=True)
response = modeladmin.changeform_view(request)
self.assertInHTML(min_forms, response.rendered_content)
self.assertInHTML(total_forms, response.rendered_content)
def test_custom_min_num(self):
bt_head = BinaryTree.objects.create(name="Tree Head")
BinaryTree.objects.create(name="First Child", parent=bt_head)
class MinNumInline(TabularInline):
model = BinaryTree
extra = 3
def get_min_num(self, request, obj=None, **kwargs):
if obj:
return 5
return 2
modeladmin = ModelAdmin(BinaryTree, admin_site)
modeladmin.inlines = [MinNumInline]
min_forms = (
'<input id="id_binarytree_set-MIN_NUM_FORMS" '
'name="binarytree_set-MIN_NUM_FORMS" type="hidden" value="%d">'
)
total_forms = (
'<input id="id_binarytree_set-TOTAL_FORMS" '
'name="binarytree_set-TOTAL_FORMS" type="hidden" value="%d">'
)
request = self.factory.get(reverse('admin:admin_inlines_binarytree_add'))
request.user = User(username='super', is_superuser=True)
response = modeladmin.changeform_view(request)
self.assertInHTML(min_forms % 2, response.rendered_content)
self.assertInHTML(total_forms % 5, response.rendered_content)
request = self.factory.get(reverse('admin:admin_inlines_binarytree_change', args=(bt_head.id,)))
request.user = User(username='super', is_superuser=True)
response = modeladmin.changeform_view(request, object_id=str(bt_head.id))
self.assertInHTML(min_forms % 5, response.rendered_content)
self.assertInHTML(total_forms % 8, response.rendered_content)
def test_inline_nonauto_noneditable_pk(self):
response = self.client.get(reverse('admin:admin_inlines_author_add'))
self.assertContains(
response,
'<input id="id_nonautopkbook_set-0-rand_pk" '
'name="nonautopkbook_set-0-rand_pk" type="hidden">',
html=True
)
self.assertContains(
response,
'<input id="id_nonautopkbook_set-2-0-rand_pk" '
'name="nonautopkbook_set-2-0-rand_pk" type="hidden">',
html=True
)
def test_inline_nonauto_noneditable_inherited_pk(self):
response = self.client.get(reverse('admin:admin_inlines_author_add'))
self.assertContains(
response,
'<input id="id_nonautopkbookchild_set-0-nonautopkbook_ptr" '
'name="nonautopkbookchild_set-0-nonautopkbook_ptr" type="hidden">',
html=True
)
self.assertContains(
response,
'<input id="id_nonautopkbookchild_set-2-nonautopkbook_ptr" '
'name="nonautopkbookchild_set-2-nonautopkbook_ptr" type="hidden">',
html=True
)
def test_inline_editable_pk(self):
response = self.client.get(reverse('admin:admin_inlines_author_add'))
self.assertContains(
response,
'<input class="vIntegerField" id="id_editablepkbook_set-0-manual_pk" '
'name="editablepkbook_set-0-manual_pk" type="number">',
html=True, count=1
)
self.assertContains(
response,
'<input class="vIntegerField" id="id_editablepkbook_set-2-0-manual_pk" '
'name="editablepkbook_set-2-0-manual_pk" type="number">',
html=True, count=1
)
def test_stacked_inline_edit_form_contains_has_original_class(self):
holder = Holder.objects.create(dummy=1)
holder.inner_set.create(dummy=1)
response = self.client.get(reverse('admin:admin_inlines_holder_change', args=(holder.pk,)))
self.assertContains(
response,
'<div class="inline-related has_original" id="inner_set-0">',
count=1
)
self.assertContains(
response,
'<div class="inline-related" id="inner_set-1">',
count=1
)
def test_inlines_show_change_link_registered(self):
"Inlines `show_change_link` for registered models when enabled."
holder = Holder4.objects.create(dummy=1)
item1 = Inner4Stacked.objects.create(dummy=1, holder=holder)
item2 = Inner4Tabular.objects.create(dummy=1, holder=holder)
items = (
('inner4stacked', item1.pk),
('inner4tabular', item2.pk),
)
response = self.client.get(reverse('admin:admin_inlines_holder4_change', args=(holder.pk,)))
self.assertTrue(response.context['inline_admin_formset'].opts.has_registered_model)
for model, pk in items:
url = reverse('admin:admin_inlines_%s_change' % model, args=(pk,))
self.assertContains(response, '<a href="%s" %s' % (url, INLINE_CHANGELINK_HTML))
def test_inlines_show_change_link_unregistered(self):
"Inlines `show_change_link` disabled for unregistered models."
parent = ParentModelWithCustomPk.objects.create(my_own_pk="foo", name="Foo")
ChildModel1.objects.create(my_own_pk="bar", name="Bar", parent=parent)
ChildModel2.objects.create(my_own_pk="baz", name="Baz", parent=parent)
response = self.client.get(reverse('admin:admin_inlines_parentmodelwithcustompk_change', args=('foo',)))
self.assertFalse(response.context['inline_admin_formset'].opts.has_registered_model)
self.assertNotContains(response, INLINE_CHANGELINK_HTML)
def test_tabular_inline_show_change_link_false_registered(self):
"Inlines `show_change_link` disabled by default."
poll = Poll.objects.create(name="New poll")
Question.objects.create(poll=poll)
response = self.client.get(reverse('admin:admin_inlines_poll_change', args=(poll.pk,)))
self.assertTrue(response.context['inline_admin_formset'].opts.has_registered_model)
self.assertNotContains(response, INLINE_CHANGELINK_HTML)
def test_noneditable_inline_has_field_inputs(self):
"""Inlines without change permission shows field inputs on add form."""
response = self.client.get(reverse('admin:admin_inlines_novelreadonlychapter_add'))
self.assertContains(
response,
'<input type="text" name="chapter_set-0-name" '
'class="vTextField" maxlength="40" id="id_chapter_set-0-name">',
html=True
)
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class TestInlineMedia(TestDataMixin, TestCase):
def setUp(self):
self.client.force_login(self.superuser)
def test_inline_media_only_base(self):
holder = Holder(dummy=13)
holder.save()
Inner(dummy=42, holder=holder).save()
change_url = reverse('admin:admin_inlines_holder_change', args=(holder.id,))
response = self.client.get(change_url)
self.assertContains(response, 'my_awesome_admin_scripts.js')
def test_inline_media_only_inline(self):
holder = Holder3(dummy=13)
holder.save()
Inner3(dummy=42, holder=holder).save()
change_url = reverse('admin:admin_inlines_holder3_change', args=(holder.id,))
response = self.client.get(change_url)
self.assertEqual(
response.context['inline_admin_formsets'][0].media._js,
[
'admin/js/vendor/jquery/jquery.min.js',
'admin/js/jquery.init.js',
'admin/js/inlines.min.js',
'my_awesome_inline_scripts.js',
'custom_number.js',
]
)
self.assertContains(response, 'my_awesome_inline_scripts.js')
def test_all_inline_media(self):
holder = Holder2(dummy=13)
holder.save()
Inner2(dummy=42, holder=holder).save()
change_url = reverse('admin:admin_inlines_holder2_change', args=(holder.id,))
response = self.client.get(change_url)
self.assertContains(response, 'my_awesome_admin_scripts.js')
self.assertContains(response, 'my_awesome_inline_scripts.js')
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class TestInlineAdminForm(TestCase):
def test_immutable_content_type(self):
"""Regression for #9362
The problem depends only on InlineAdminForm and its "original"
argument, so we can safely set the other arguments to None/{}. We just
need to check that the content_type argument of Child isn't altered by
the internals of the inline form."""
sally = Teacher.objects.create(name='Sally')
john = Parent.objects.create(name='John')
joe = Child.objects.create(name='Joe', teacher=sally, parent=john)
iaf = InlineAdminForm(None, None, {}, {}, joe)
parent_ct = ContentType.objects.get_for_model(Parent)
self.assertEqual(iaf.original.content_type, parent_ct)
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class TestInlineProtectedOnDelete(TestDataMixin, TestCase):
def setUp(self):
self.client.force_login(self.superuser)
def test_deleting_inline_with_protected_delete_does_not_validate(self):
lotr = Novel.objects.create(name='Lord of the rings')
chapter = Chapter.objects.create(novel=lotr, name='Many Meetings')
foot_note = FootNote.objects.create(chapter=chapter, note='yadda yadda')
change_url = reverse('admin:admin_inlines_novel_change', args=(lotr.id,))
response = self.client.get(change_url)
data = {
'name': lotr.name,
'chapter_set-TOTAL_FORMS': 1,
'chapter_set-INITIAL_FORMS': 1,
'chapter_set-MAX_NUM_FORMS': 1000,
'_save': 'Save',
'chapter_set-0-id': chapter.id,
'chapter_set-0-name': chapter.name,
'chapter_set-0-novel': lotr.id,
'chapter_set-0-DELETE': 'on'
}
response = self.client.post(change_url, data)
self.assertContains(response, "Deleting chapter %s would require deleting "
"the following protected related objects: foot note %s"
% (chapter, foot_note))
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class TestInlinePermissions(TestCase):
"""
Make sure the admin respects permissions for objects that are edited
inline. Refs #8060.
"""
@classmethod
def setUpTestData(cls):
cls.user = User(username='admin', is_staff=True, is_active=True)
cls.user.set_password('secret')
cls.user.save()
cls.author_ct = ContentType.objects.get_for_model(Author)
cls.holder_ct = ContentType.objects.get_for_model(Holder2)
cls.book_ct = ContentType.objects.get_for_model(Book)
cls.inner_ct = ContentType.objects.get_for_model(Inner2)
# User always has permissions to add and change Authors, and Holders,
# the main (parent) models of the inlines. Permissions on the inlines
# vary per test.
permission = Permission.objects.get(codename='add_author', content_type=cls.author_ct)
cls.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='change_author', content_type=cls.author_ct)
cls.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='add_holder2', content_type=cls.holder_ct)
cls.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='change_holder2', content_type=cls.holder_ct)
cls.user.user_permissions.add(permission)
author = Author.objects.create(pk=1, name='The Author')
book = author.books.create(name='The inline Book')
cls.author_change_url = reverse('admin:admin_inlines_author_change', args=(author.id,))
# Get the ID of the automatically created intermediate model for the Author-Book m2m
author_book_auto_m2m_intermediate = Author.books.through.objects.get(author=author, book=book)
cls.author_book_auto_m2m_intermediate_id = author_book_auto_m2m_intermediate.pk
cls.holder = Holder2.objects.create(dummy=13)
cls.inner2 = Inner2.objects.create(dummy=42, holder=cls.holder)
def setUp(self):
self.holder_change_url = reverse('admin:admin_inlines_holder2_change', args=(self.holder.id,))
self.client.force_login(self.user)
def test_inline_add_m2m_noperm(self):
response = self.client.get(reverse('admin:admin_inlines_author_add'))
# No change permission on books, so no inline
self.assertNotContains(response, '<h2>Author-book relationships</h2>')
self.assertNotContains(response, 'Add another Author-Book Relationship')
self.assertNotContains(response, 'id="id_Author_books-TOTAL_FORMS"')
def test_inline_add_fk_noperm(self):
response = self.client.get(reverse('admin:admin_inlines_holder2_add'))
# No permissions on Inner2s, so no inline
self.assertNotContains(response, '<h2>Inner2s</h2>')
self.assertNotContains(response, 'Add another Inner2')
self.assertNotContains(response, 'id="id_inner2_set-TOTAL_FORMS"')
def test_inline_change_m2m_noperm(self):
response = self.client.get(self.author_change_url)
# No change permission on books, so no inline
self.assertNotContains(response, '<h2>Author-book relationships</h2>')
self.assertNotContains(response, 'Add another Author-Book Relationship')
self.assertNotContains(response, 'id="id_Author_books-TOTAL_FORMS"')
def test_inline_change_fk_noperm(self):
response = self.client.get(self.holder_change_url)
# No permissions on Inner2s, so no inline
self.assertNotContains(response, '<h2>Inner2s</h2>')
self.assertNotContains(response, 'Add another Inner2')
self.assertNotContains(response, 'id="id_inner2_set-TOTAL_FORMS"')
def test_inline_add_m2m_add_perm(self):
permission = Permission.objects.get(codename='add_book', content_type=self.book_ct)
self.user.user_permissions.add(permission)
response = self.client.get(reverse('admin:admin_inlines_author_add'))
# No change permission on Books, so no inline
self.assertNotContains(response, '<h2>Author-book relationships</h2>')
self.assertNotContains(response, 'Add another Author-Book Relationship')
self.assertNotContains(response, 'id="id_Author_books-TOTAL_FORMS"')
def test_inline_add_fk_add_perm(self):
permission = Permission.objects.get(codename='add_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(reverse('admin:admin_inlines_holder2_add'))
# Add permission on inner2s, so we get the inline
self.assertContains(response, '<h2>Inner2s</h2>')
self.assertContains(response, 'Add another Inner2')
self.assertContains(response, '<input type="hidden" id="id_inner2_set-TOTAL_FORMS" '
'value="3" name="inner2_set-TOTAL_FORMS">', html=True)
def test_inline_change_m2m_add_perm(self):
permission = Permission.objects.get(codename='add_book', content_type=self.book_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.author_change_url)
# No change permission on books, so no inline
self.assertNotContains(response, '<h2>Author-book relationships</h2>')
self.assertNotContains(response, 'Add another Author-Book Relationship')
self.assertNotContains(response, 'id="id_Author_books-TOTAL_FORMS"')
self.assertNotContains(response, 'id="id_Author_books-0-DELETE"')
def test_inline_change_m2m_change_perm(self):
permission = Permission.objects.get(codename='change_book', content_type=self.book_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.author_change_url)
# We have change perm on books, so we can add/change/delete inlines
self.assertContains(response, '<h2>Author-book relationships</h2>')
self.assertContains(response, 'Add another Author-book relationship')
self.assertContains(response, '<input type="hidden" id="id_Author_books-TOTAL_FORMS" '
'value="4" name="Author_books-TOTAL_FORMS">', html=True)
self.assertContains(
response,
'<input type="hidden" id="id_Author_books-0-id" value="%i" '
'name="Author_books-0-id">' % self.author_book_auto_m2m_intermediate_id,
html=True
)
self.assertContains(response, 'id="id_Author_books-0-DELETE"')
def test_inline_change_fk_add_perm(self):
permission = Permission.objects.get(codename='add_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.holder_change_url)
# Add permission on inner2s, so we can add but not modify existing
self.assertContains(response, '<h2>Inner2s</h2>')
self.assertContains(response, 'Add another Inner2')
# 3 extra forms only, not the existing instance form
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-TOTAL_FORMS" value="3" '
'name="inner2_set-TOTAL_FORMS">',
html=True
)
self.assertNotContains(
response,
'<input type="hidden" id="id_inner2_set-0-id" value="%i" name="inner2_set-0-id">' % self.inner2.id,
html=True
)
def test_inline_change_fk_change_perm(self):
permission = Permission.objects.get(codename='change_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.holder_change_url)
# Change permission on inner2s, so we can change existing but not add new
self.assertContains(response, '<h2>Inner2s</h2>', count=2)
# Just the one form for existing instances
self.assertContains(
response, '<input type="hidden" id="id_inner2_set-TOTAL_FORMS" value="1" name="inner2_set-TOTAL_FORMS">',
html=True
)
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-0-id" value="%i" name="inner2_set-0-id">' % self.inner2.id,
html=True
)
# max-num 0 means we can't add new ones
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-MAX_NUM_FORMS" value="0" name="inner2_set-MAX_NUM_FORMS">',
html=True
)
# TabularInline
self.assertContains(response, '<th class="column-dummy required">Dummy</th>', html=True)
self.assertContains(
response,
'<input type="number" name="inner2_set-2-0-dummy" value="%s" '
'class="vIntegerField" id="id_inner2_set-2-0-dummy">' % self.inner2.dummy,
html=True,
)
def test_inline_change_fk_add_change_perm(self):
permission = Permission.objects.get(codename='add_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='change_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.holder_change_url)
# Add/change perm, so we can add new and change existing
self.assertContains(response, '<h2>Inner2s</h2>')
# One form for existing instance and three extra for new
self.assertContains(
response, '<input type="hidden" id="id_inner2_set-TOTAL_FORMS" value="4" name="inner2_set-TOTAL_FORMS">',
html=True
)
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-0-id" value="%i" name="inner2_set-0-id">' % self.inner2.id,
html=True
)
def test_inline_change_fk_change_del_perm(self):
permission = Permission.objects.get(codename='change_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='delete_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.holder_change_url)
# Change/delete perm on inner2s, so we can change/delete existing
self.assertContains(response, '<h2>Inner2s</h2>')
# One form for existing instance only, no new
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-TOTAL_FORMS" value="1" name="inner2_set-TOTAL_FORMS">',
html=True
)
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-0-id" value="%i" name="inner2_set-0-id">' % self.inner2.id,
html=True
)
self.assertContains(response, 'id="id_inner2_set-0-DELETE"')
def test_inline_change_fk_all_perms(self):
permission = Permission.objects.get(codename='add_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='change_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
permission = Permission.objects.get(codename='delete_inner2', content_type=self.inner_ct)
self.user.user_permissions.add(permission)
response = self.client.get(self.holder_change_url)
# All perms on inner2s, so we can add/change/delete
self.assertContains(response, '<h2>Inner2s</h2>', count=2)
# One form for existing instance only, three for new
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-TOTAL_FORMS" value="4" name="inner2_set-TOTAL_FORMS">',
html=True
)
self.assertContains(
response,
'<input type="hidden" id="id_inner2_set-0-id" value="%i" name="inner2_set-0-id">' % self.inner2.id,
html=True
)
self.assertContains(response, 'id="id_inner2_set-0-DELETE"')
# TabularInline
self.assertContains(response, '<th class="column-dummy required">Dummy</th>', html=True)
self.assertContains(
response,
'<input type="number" name="inner2_set-2-0-dummy" value="%s" '
'class="vIntegerField" id="id_inner2_set-2-0-dummy">' % self.inner2.dummy,
html=True,
)
@override_settings(ROOT_URLCONF='admin_inlines.urls')
class SeleniumTests(AdminSeleniumTestCase):
available_apps = ['admin_inlines'] + AdminSeleniumTestCase.available_apps
def setUp(self):
User.objects.create_superuser(username='super', password='secret', email='super@example.com')
def test_add_stackeds(self):
"""
The "Add another XXX" link correctly adds items to the stacked formset.
"""
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_holder4_add'))
inline_id = '#inner4stacked_set-group'
def rows_length():
return len(self.selenium.find_elements_by_css_selector('%s .dynamic-inner4stacked_set' % inline_id))
self.assertEqual(rows_length(), 3)
add_button = self.selenium.find_element_by_link_text(
'Add another Inner4 stacked')
add_button.click()
self.assertEqual(rows_length(), 4)
def test_delete_stackeds(self):
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_holder4_add'))
inline_id = '#inner4stacked_set-group'
def rows_length():
return len(self.selenium.find_elements_by_css_selector('%s .dynamic-inner4stacked_set' % inline_id))
self.assertEqual(rows_length(), 3)
add_button = self.selenium.find_element_by_link_text(
'Add another Inner4 stacked')
add_button.click()
add_button.click()
self.assertEqual(rows_length(), 5, msg="sanity check")
for delete_link in self.selenium.find_elements_by_css_selector('%s .inline-deletelink' % inline_id):
delete_link.click()
self.assertEqual(rows_length(), 3)
def test_add_inlines(self):
"""
The "Add another XXX" link correctly adds items to the inline form.
"""
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_profilecollection_add'))
# There's only one inline to start with and it has the correct ID.
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set')), 1)
self.assertEqual(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set')[0].get_attribute('id'),
'profile_set-0')
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-0 input[name=profile_set-0-first_name]')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-0 input[name=profile_set-0-last_name]')), 1)
# Add an inline
self.selenium.find_element_by_link_text('Add another Profile').click()
# The inline has been added, it has the right id, and it contains the
# correct fields.
self.assertEqual(len(self.selenium.find_elements_by_css_selector('.dynamic-profile_set')), 2)
self.assertEqual(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set')[1].get_attribute('id'), 'profile_set-1')
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-1 input[name=profile_set-1-first_name]')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-1 input[name=profile_set-1-last_name]')), 1)
# Let's add another one to be sure
self.selenium.find_element_by_link_text('Add another Profile').click()
self.assertEqual(len(self.selenium.find_elements_by_css_selector('.dynamic-profile_set')), 3)
self.assertEqual(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set')[2].get_attribute('id'), 'profile_set-2')
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-2 input[name=profile_set-2-first_name]')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'.dynamic-profile_set#profile_set-2 input[name=profile_set-2-last_name]')), 1)
# Enter some data and click 'Save'
self.selenium.find_element_by_name('profile_set-0-first_name').send_keys('0 first name 1')
self.selenium.find_element_by_name('profile_set-0-last_name').send_keys('0 last name 2')
self.selenium.find_element_by_name('profile_set-1-first_name').send_keys('1 first name 1')
self.selenium.find_element_by_name('profile_set-1-last_name').send_keys('1 last name 2')
self.selenium.find_element_by_name('profile_set-2-first_name').send_keys('2 first name 1')
self.selenium.find_element_by_name('profile_set-2-last_name').send_keys('2 last name 2')
self.selenium.find_element_by_xpath('//input[@value="Save"]').click()
self.wait_page_loaded()
# The objects have been created in the database
self.assertEqual(ProfileCollection.objects.all().count(), 1)
self.assertEqual(Profile.objects.all().count(), 3)
def test_delete_inlines(self):
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_profilecollection_add'))
# Add a few inlines
self.selenium.find_element_by_link_text('Add another Profile').click()
self.selenium.find_element_by_link_text('Add another Profile').click()
self.selenium.find_element_by_link_text('Add another Profile').click()
self.selenium.find_element_by_link_text('Add another Profile').click()
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'#profile_set-group table tr.dynamic-profile_set')), 5)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-0')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-1')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-2')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-3')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-4')), 1)
# Click on a few delete buttons
self.selenium.find_element_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-1 td.delete a').click()
self.selenium.find_element_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-2 td.delete a').click()
# The rows are gone and the IDs have been re-sequenced
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'#profile_set-group table tr.dynamic-profile_set')), 3)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-0')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-1')), 1)
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
'form#profilecollection_form tr.dynamic-profile_set#profile_set-2')), 1)
def test_alternating_rows(self):
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_profilecollection_add'))
# Add a few inlines
self.selenium.find_element_by_link_text('Add another Profile').click()
self.selenium.find_element_by_link_text('Add another Profile').click()
row_selector = 'form#profilecollection_form tr.dynamic-profile_set'
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
"%s.row1" % row_selector)), 2, msg="Expect two row1 styled rows")
self.assertEqual(len(self.selenium.find_elements_by_css_selector(
"%s.row2" % row_selector)), 1, msg="Expect one row2 styled row")
def test_collapsed_inlines(self):
# Collapsed inlines have SHOW/HIDE links.
self.admin_login(username='super', password='secret')
self.selenium.get(self.live_server_url + reverse('admin:admin_inlines_author_add'))
# One field is in a stacked inline, other in a tabular one.
test_fields = ['#id_nonautopkbook_set-0-title', '#id_nonautopkbook_set-2-0-title']
show_links = self.selenium.find_elements_by_link_text('SHOW')
self.assertEqual(len(show_links), 3)
for show_index, field_name in enumerate(test_fields, 0):
self.wait_until_invisible(field_name)
show_links[show_index].click()
self.wait_until_visible(field_name)
hide_links = self.selenium.find_elements_by_link_text('HIDE')
self.assertEqual(len(hide_links), 2)
for hide_index, field_name in enumerate(test_fields, 0):
self.wait_until_visible(field_name)
hide_links[hide_index].click()
self.wait_until_invisible(field_name)
|
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default_path = "../src/"
import sys
sys.path.insert(0, default_path)
import unittest
from helpers.helper_evaluation_tuning_tester import GetActual_FromIndex
import logging
logging.basicConfig(format='%(message)s',level=logging.WARN)
class _Config:
DEBUG = True
SKIP_SLOW_TESTS = True
SKIP_CONTROL_TESTS = False
SKIP_MONTE_CARLO_TESTS = False
@staticmethod
def display(e):
if _Config.DEBUG:
sys.stderr.write(str(e)+" ... ")
class PLOSOneEXP_Controls(unittest.TestCase, GetActual_FromIndex):
def __init__(self, *args, **kwords):
unittest.TestCase.__init__(self, *args, **kwords)
GetActual_FromIndex.__init__(self)
self._test_output_path = "test/test_outputs/"
self._file_path = "../results/Control_91-92_March2017/"
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_VAcc(self):
actual = self._get_actual(m=2, e=3, filename="l91.csv", n=91, indexes_are_important=True, support_access=True)
expected = 0.00340693210971
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_VNoAcc(self):
actual = self._get_actual(m=2, e=3, filename="l92.csv", n=92, indexes_are_important=True, support_access=False)
expected = 0.000708533321995
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_OddNoAcc(self):
actual = self._get_actual(m=2, e=3, filename="odds.csv", n=46, indexes_are_important=True, support_access=False)
expected = 0.00429237121612
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_OddAcc(self):
actual = self._get_actual(m=2, e=3, filename="odds44.csv", n=44, indexes_are_important=True, support_access=False)
expected = 0.00762615128411
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_EvenNoAcc(self):
actual = self._get_actual(m=2, e=3, filename="evens.csv", n=46, indexes_are_important=True, support_access=False)
expected = 0.00429237121612
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_CONTROL_TESTS, "Skipping control test..")
def test_control_EvenAcc(self):
actual = self._get_actual(m=2, e=3, filename="evens44.csv", n=44, indexes_are_important=True, support_access=False)
expected = 0.00762615128411
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_SLOW_TESTS, "Skipping slow test..")
def test_control_E10Acc(self):
actual = self._get_actual(m=2, e=4, filename="edges_l3893.csv", n=2476, indexes_are_important=False, support_access=True)
expected = 0.00548091787895
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_SLOW_TESTS, "Skipping slow test..")
def test_control_E10NoAcc(self):
actual = self._get_actual(m=2, e=4, filename="edges_l3991.csv", n=2522, indexes_are_important=False, support_access=False)
expected = 0.000228102472245
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
class PLOSOneEXP_MonteCarlo(unittest.TestCase, GetActual_FromIndex):
def __init__(self, *args, **kwords):
unittest.TestCase.__init__(self, *args, **kwords)
GetActual_FromIndex.__init__(self)
self._file_path = "../results/installed_aos+rod_July2016/"
@unittest.skipIf(_Config.SKIP_MONTE_CARLO_TESTS, "Skipping monte carlo test..")
def test_monte_carlo_Inst(self):
actual = self._get_actual(m=2, e=3, filename="installed_newlines_removed.csv", n=44, indexes_are_important=True, support_access=False)
expected = 0.00591398315505
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
@unittest.skipIf(_Config.SKIP_MONTE_CARLO_TESTS, "Skipping monte carlo test..")
def test_monte_carlo_Twkr(self):
actual = self._get_actual(m=2, e=3, filename="tweaker.csv", n=44, indexes_are_important=True, support_access=False)
expected = 0.00460301483137
_Config.display(expected)
self.assertTrue( self._is_similar(actual, expected) ) # self.assertTrue(actual == expected)
return actual
if __name__ == "__main__":
suite = unittest.TestLoader().loadTestsFromModule( sys.modules[__name__] )
unittest.TextTestRunner(verbosity=3).run(suite)
|
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from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import *
from test_framework.mininode import CTransaction, NetworkThread
from test_framework.bricktools import create_coinbase, create_brick, add_witness_commitment
from test_framework.script import CScript
from io import BytesIO
import time
NULLDUMMY_ERROR = "64: non-mandatory-script-verify-flag (Dummy CHECKMULTISIG argument must be zero)"
VB_TOP_BITS = 0x20000000
def trueDummy(tx):
scriptSig = CScript(tx.vin[0].scriptSig)
newscript = []
for i in scriptSig:
if (len(newscript) == 0):
assert(len(i) == 0)
newscript.append(b'\x51')
else:
newscript.append(i)
tx.vin[0].scriptSig = CScript(newscript)
tx.rehash()
'''
This test is meant to exercise NULLDUMMY softfork.
Connect to a single node.
Generate 2 bricks (save the coinbases for later).
Generate 427 more bricks.
[Policy/Consensus] Check that NULLDUMMY compliant transactions are accepted in the 430th brick.
[Policy] Check that non-NULLDUMMY transactions are rejected before activation.
[Consensus] Check that the new NULLDUMMY rules are not enforced on the 431st brick.
[Policy/Consensus] Check that the new NULLDUMMY rules are enforced on the 432nd brick.
'''
class NULLDUMMYTest(BitcoinTestFramework):
def __init__(self):
super().__init__()
self.num_nodes = 1
self.setup_clean_wall = True
def setup_network(self):
# Must set the brickversion for this test
self.nodes = start_nodes(self.num_nodes, self.options.tmpdir,
extra_args=[['-debug', '-whitelist=127.0.0.1', '-walletprematurewitness']])
def run_test(self):
self.address = self.nodes[0].getnewaddress()
self.ms_address = self.nodes[0].addmultisigaddress(1,[self.address])
self.wit_address = self.nodes[0].addwitnessaddress(self.address)
self.wit_ms_address = self.nodes[0].addwitnessaddress(self.ms_address)
NetworkThread().start() # Start up network handling in another thread
self.coinbase_bricks = self.nodes[0].generate(2) # Brick 2
coinbase_txid = []
for i in self.coinbase_bricks:
coinbase_txid.append(self.nodes[0].getbrick(i)['tx'][0])
self.nodes[0].generate(427) # Brick 429
self.lastbrickhash = self.nodes[0].getbestbrickhash()
self.tip = int("0x" + self.lastbrickhash, 0)
self.lastbrickheight = 429
self.lastbricktime = int(time.time()) + 429
print ("Test 1: NULLDUMMY compliant base transactions should be accepted to mempool and mined before activation [430]")
test1txs = [self.create_transaction(self.nodes[0], coinbase_txid[0], self.ms_address, 49)]
txid1 = self.tx_submit(self.nodes[0], test1txs[0])
test1txs.append(self.create_transaction(self.nodes[0], txid1, self.ms_address, 48))
txid2 = self.tx_submit(self.nodes[0], test1txs[1])
test1txs.append(self.create_transaction(self.nodes[0], coinbase_txid[1], self.wit_ms_address, 49))
txid3 = self.tx_submit(self.nodes[0], test1txs[2])
self.brick_submit(self.nodes[0], test1txs, False, True)
print ("Test 2: Non-NULLDUMMY base multisig transaction should not be accepted to mempool before activation")
test2tx = self.create_transaction(self.nodes[0], txid2, self.ms_address, 48)
trueDummy(test2tx)
txid4 = self.tx_submit(self.nodes[0], test2tx, NULLDUMMY_ERROR)
print ("Test 3: Non-NULLDUMMY base transactions should be accepted in a brick before activation [431]")
self.brick_submit(self.nodes[0], [test2tx], False, True)
print ("Test 4: Non-NULLDUMMY base multisig transaction is invalid after activation")
test4tx = self.create_transaction(self.nodes[0], txid4, self.address, 47)
test6txs=[CTransaction(test4tx)]
trueDummy(test4tx)
self.tx_submit(self.nodes[0], test4tx, NULLDUMMY_ERROR)
self.brick_submit(self.nodes[0], [test4tx])
print ("Test 5: Non-NULLDUMMY P2WSH multisig transaction invalid after activation")
test5tx = self.create_transaction(self.nodes[0], txid3, self.wit_address, 48)
test6txs.append(CTransaction(test5tx))
test5tx.wit.vtxinwit[0].scriptWitness.stack[0] = b'\x01'
self.tx_submit(self.nodes[0], test5tx, NULLDUMMY_ERROR)
self.brick_submit(self.nodes[0], [test5tx], True)
print ("Test 6: NULLDUMMY compliant base/witness transactions should be accepted to mempool and in brick after activation [432]")
for i in test6txs:
self.tx_submit(self.nodes[0], i)
self.brick_submit(self.nodes[0], test6txs, True, True, VB_TOP_BITS)
def create_transaction(self, node, txid, to_address, amount):
inputs = [{ "txid" : txid, "vout" : 0}]
outputs = { to_address : amount }
rawtx = node.createrawtransaction(inputs, outputs)
signresult = node.signrawtransaction(rawtx)
tx = CTransaction()
f = BytesIO(hex_str_to_bytes(signresult['hex']))
tx.deserialize(f)
return tx
def tx_submit(self, node, tx, msg = ""):
tx.rehash()
try:
node.sendrawtransaction(bytes_to_hex_str(tx.serialize_with_witness()), True)
except JSONRPCException as exp:
assert_equal(exp.error["message"], msg)
else:
assert_equal('', msg)
return tx.hash
def brick_submit(self, node, txs, witness = False, accept = False, version=4):
brick = create_brick(self.tip, create_coinbase(self.lastbrickheight + 1), self.lastbricktime + 1)
brick.nVersion = version
for tx in txs:
tx.rehash()
brick.vtx.append(tx)
brick.hashMerkleRoot = brick.calc_merkle_root()
witness and add_witness_commitment(brick)
brick.rehash()
brick.solve()
node.submitbrick(bytes_to_hex_str(brick.serialize(True)))
if (accept):
assert_equal(node.getbestbrickhash(), brick.hash)
self.tip = brick.sha256
self.lastbrickhash = brick.hash
self.lastbricktime += 1
self.lastbrickheight += 1
else:
assert_equal(node.getbestbrickhash(), self.lastbrickhash)
if __name__ == '__main__':
NULLDUMMYTest().main()
|
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import clr
clr.AddReference('RevitAPI')
from Autodesk.Revit.DB import *
walltypes = UnwrapElement(IN[0])
booleans = list()
for item in walltypes:
try:
wallfunction = item.get_Parameter(BuiltInParameter.FUNCTION_PARAM).AsInteger()
if wallfunction == 1:
booleans.append(True)
else:
booleans.append(False)
except:
booleans.append(False)
OUT = booleans
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import sqlalchemy
import config, constants, util
def textclause_repr(self):
return 'text(%r)' % self.text
def table_repr(self):
data = {
'name': self.name,
'columns': constants.NLTAB.join([repr(cl) for cl in self.columns]),
'constraints': constants.NLTAB.join(
[repr(cn) for cn in self.constraints
if not isinstance(cn, sqlalchemy.PrimaryKeyConstraint)]),
'index': '',
'schema': self.schema != None and "schema='%s'" % self.schema or '',
}
if data['constraints']:
data['constraints'] = data['constraints'] + ','
return util.as_out_str(constants.TABLE % data)
def _repr_coltype_as(coltype, as_type):
"""repr a Type instance as a super type."""
specimen = object.__new__(as_type)
specimen.__dict__ = coltype.__dict__
return repr(specimen)
def column_repr(self):
kwarg = []
if self.key != self.name:
kwarg.append( 'key')
if hasattr(self, 'primary_key'):
kwarg.append( 'primary_key')
if not self.nullable:
kwarg.append( 'nullable')
if self.onupdate:
kwarg.append( 'onupdate')
if self.default:
kwarg.append( 'default')
ks = ', '.join('%s=%r' % (k, getattr(self, k)) for k in kwarg )
name = self.name
if not hasattr(config, 'options') and config.options.generictypes:
coltype = repr(self.type)
elif type(self.type).__module__ == 'sqlalchemy.types':
coltype = repr(self.type)
else:
# Try to 'cast' this column type to a cross-platform type
# from sqlalchemy.types, dropping any database-specific type
# arguments.
for base in type(self.type).__mro__:
if (base.__module__ == 'sqlalchemy.types' and
base.__name__ in sqlalchemy.__all__):
coltype = _repr_coltype_as(self.type, base)
break
# FIXME: if a dialect has a non-standard type that does not
# derive from an ANSI type, there's no choice but to ignore
# generic-types and output the exact type. However, import
# headers have already been output and lack the required
# dialect import.
else:
coltype = repr(self.type)
data = {'name': self.name,
'type': coltype,
'constraints': ', '.join([repr(cn) for cn in self.constraints]),
'args': ks and ks or '',
}
if data['constraints']:
if data['constraints']: data['constraints'] = ', ' + data['constraints']
if data['args']:
if data['args']: data['args'] = ', ' + data['args']
return util.as_out_str(constants.COLUMN % data)
def foreignkeyconstraint_repr(self):
data = {'name': repr(self.name),
'names': repr([x.parent.name for x in self.elements]),
'specs': repr([x._get_colspec() for x in self.elements])
}
return util.as_out_str(constants.FOREIGN_KEY % data)
def index_repr(index):
cols = []
for column in index.columns:
# FIXME: still punting on the issue of unicode table names
if util.is_python_identifier(column.name):
cols.append('%s.c.%s' % (column.table.name, column.name))
else:
cols.append('%s.c[%r]' % (column.table.name, column.name))
data = {'name': repr(index.name),
'columns': ', '.join(cols),
'unique': repr(index.unique),
}
return util.as_out_str(constants.INDEX % data)
def monkey_patch_sa():
sqlalchemy.sql.expression._TextClause.__repr__ = textclause_repr
sqlalchemy.schema.Table.__repr__ = table_repr
sqlalchemy.schema.Column.__repr__ = column_repr
sqlalchemy.schema.ForeignKeyConstraint.__repr__ = foreignkeyconstraint_repr
sqlalchemy.schema.Index.__repr__ = index_repr
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import sys
from difflib import SequenceMatcher
from functools import partial
if sys.version_info[0] == 2: # from six.py
range = xrange
text_type = unicode
binary_type = str
else:
binary_type = bytes
text_type = str
# CORE
__version__ = '1'
def ratio(a, b):
"""
similarity ratio between two strings
"""
return matcher(a, b).ratio()
def main_ratio(a, b):
"""
find the longest match between the original strings
pass the longest match and the shortest original string to ratio()
"""
longest_match = matcher(a, b).find_longest_match(0, len(a), 0, len(b))
longest_match = a[longest_match.a:longest_match.a + longest_match.size]
if len(a) < len(b):
shortest_original = a
else:
shortest_original = b
return ratio(longest_match, shortest_original)
def partial_ratio(a, b):
"""
using only non zero length matching blocks
select everything from the first block to the last
pass the results through ratio
"""
matches = matcher(a, b).get_matching_blocks()
matches = tuple(filter(lambda m: m.size > 0, matches))
if len(matches) == 0:
return 0
matches = sorted(matches, key=lambda m: m.a)
part_a = a[matches[0].a:matches[-1].a + matches[-1].size]
matches = sorted(matches, key=lambda m: m.b)
part_b = b[matches[0].b:matches[-1].b + matches[-1].size]
return ratio(part_a, part_b)
def token_ratio(a, b, sep=' '):
"""
each part is split() with sep
the parts are sorted
joined back together
the results are passed through ratio()
"""
a = sep.join(sorted(set(a.split(sep))))
b = sep.join(sorted(set(b.split(sep))))
return ratio(a, b)
def iratio(a, b):
"""
case insensitive version of ratio()
"""
return ratio(a.lower(), b.lower())
def main_iratio(a, b):
"""
case insensitive version of main_ratio()
"""
return main_ratio(a.lower(), b.lower())
def partial_iratio(a, b):
"""
case insensitive version of partial_ratio()
"""
return partial_ratio(a.lower(), b.lower())
def token_iratio(a, b):
"""
case insensitive version of token_ratio()
"""
return token_ratio(a.lower(), b.lower())
matcher = partial(SequenceMatcher, None)
# AMENITIES
def all_text(i):
"""
convert all items to text
None becomes an empty string
"""
return (text_type('') if e is None else text_type(e) for e in i)
def ratio_to_percentile(ratio):
"""
converts to percentile integer
"""
return int(round(100 * ratio))
|
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from matplotlib import use, cm
use('TkAgg')
import numpy as np
import scipy.io
import scipy.misc
import matplotlib.pyplot as plt
from findClosestCentroids import findClosestCentroids
from computeCentroids import computeCentroids
from runkMeans import runkMeans
from kMeansInitCentroids import kMeansInitCentroids
from show import show
print 'Finding closest centroids.'
# Load an example dataset that we will be using
data = scipy.io.loadmat('ex7data2.mat')
X = data['X']
# Select an initial set of centroids
K = 3 # 3 Centroids
initial_centroids = np.array([[3, 3], [6, 2], [8, 5]])
# Find the closest centroids for the examples using the
# initial_centroids
val, idx = findClosestCentroids(X, initial_centroids)
print 'Closest centroids for the first 3 examples:'
print idx[0:3].tolist()
print '(the closest centroids should be 0, 2, 1 respectively)'
raw_input("Program paused. Press Enter to continue...")
## ===================== Part 2: Compute Means =========================
# After implementing the closest centroids function, you should now
# complete the computeCentroids function.
#
print 'Computing centroids means.'
# Compute means based on the closest centroids found in the previous part.
centroids = computeCentroids(X, idx, K)
print 'Centroids computed after initial finding of closest centroids:'
for c in centroids:
print c
print '(the centroids should be'
print ' [ 2.428301 3.157924 ]'
print ' [ 5.813503 2.633656 ]'
print ' [ 7.119387 3.616684 ]'
raw_input("Program paused. Press Enter to continue...")
## =================== Part 3: K-Means Clustering ======================
# After you have completed the two functions computeCentroids and
# findClosestCentroids, you have all the necessary pieces to run the
# kMeans algorithm. In this part, you will run the K-Means algorithm on
# the example dataset we have provided.
#
print 'Running K-Means clustering on example dataset.'
# Load an example dataset
data = scipy.io.loadmat('ex7data2.mat')
X = data['X']
# Settings for running K-Means
K = 3
max_iters = 10
# For consistency, here we set centroids to specific values
# but in practice you want to generate them automatically, such as by
# settings them to be random examples (as can be seen in
# kMeansInitCentroids).
initial_centroids = [[3, 3], [6, 2], [8, 5]]
# Run K-Means algorithm. The 'true' at the end tells our function to plot
# the progress of K-Means
centroids, idx = runkMeans(X, initial_centroids, max_iters, True)
print 'K-Means Done.'
raw_input("Program paused. Press Enter to continue...")
## ============= Part 4: K-Means Clustering on Pixels ===============
# In this exercise, you will use K-Means to compress an image. To do this,
# you will first run K-Means on the colors of the pixels in the image and
# then you will map each pixel on to it's closest centroid.
#
# You should now complete the code in kMeansInitCentroids.m
#
print 'Running K-Means clustering on pixels from an image.'
# Load an image of a bird
A = scipy.misc.imread('bird_small.png')
# If imread does not work for you, you can try instead
# load ('bird_small.mat')
A = A / 255.0 # Divide by 255 so that all values are in the range 0 - 1
# Size of the image
img_size = A.shape
# Reshape the image into an Nx3 matrix where N = number of pixels.
# Each row will contain the Red, Green and Blue pixel values
# This gives us our dataset matrix X that we will use K-Means on.
X = A.reshape(img_size[0] * img_size[1], 3)
# Run your K-Means algorithm on this data
# You should try different values of K and max_iters here
K = 16
max_iters = 10
# When using K-Means, it is important the initialize the centroids
# randomly.
# You should complete the code in kMeansInitCentroids.m before proceeding
initial_centroids = kMeansInitCentroids(X, K)
# Run K-Means
centroids, idx = runkMeans(X, initial_centroids, max_iters)
raw_input("Program paused. Press Enter to continue...")
## ================= Part 5: Image Compression ======================
# In this part of the exercise, you will use the clusters of K-Means to
# compress an image. To do this, we first find the closest clusters for
# each example. After that, we
print 'Applying K-Means to compress an image.'
# Find closest cluster members
_, idx = findClosestCentroids(X, centroids)
# Essentially, now we have represented the image X as in terms of the
# indices in idx.
# We can now recover the image from the indices (idx) by mapping each pixel
# (specified by it's index in idx) to the centroid value
X_recovered = np.array([centroids[e] for e in idx])
# Reshape the recovered image into proper dimensions
X_recovered = X_recovered.reshape(img_size[0], img_size[1], 3)
# Display the original image
plt.subplot(1, 2, 1)
plt.imshow(A)
plt.title('Original')
show()
# Display compressed image side by side
plt.subplot(1, 2, 2)
plt.imshow(X_recovered)
plt.title('Compressed, with %d colors.' % K)
show()
raw_input("Program paused. Press Enter to continue...")
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from __future__ import unicode_literals
import json
from abc import ABCMeta
from collections import OrderedDict
from functools import wraps
import sys
from os.path import dirname, abspath
# just until ransom becomes its own package
sys.path.append(dirname(dirname(abspath(__file__))))
import ransom
from params import SingleParam, StaticParam
from models import get_unique_func, get_priority_func
from utils import (PriorityQueue,
MaxInt,
chunked_iter,
make_type_wrapper,
OperationExample)
# TODO: handle automatic redirecting better
# TODO: support batching and optimization limits
# TODO: concurrency. get_current_task() -> get_current_tasks()
# TODO: wrap exceptions
# TODO: separate structure for saving completed subops (for debugging?)
# TODO: WebRequestOperation: accepts URL, action (default: GET)
# TODO: Model links (url attribute)
# TODO: support field param_type (for cases with ints and strs)
# TODO: use source descriptor instead of api_url? (for op.source)
# TODO: check that subop_chain types match up
# TODO: check that priority attribute exists on output_type where applicable
"""
- what if operations were iterable over their results and process()
returned the operation itself? (more expensive to iterate and find
non-dupe results, would set ops help?)
- client -> root_owner. parent operation (client
if no parent op) -> owner.
- pregenerate MediawikiCalls/URLs on QueryOperations
Operation modifiers:
- Prioritized
- Recursive
- Buffered
fun metadata:
- operations executed
- suboperations skipped (from dedupe/prioritization/laziness)
- web requests executed, kb downloaded
retry strategies:
- absolute number of failures
- streaks/runs of failures
- fail if first operation fails
- reduce batch size/query limit on timeouts
prioritization/batching/concurrency implementation thoughts:
- hands-off implementation via multiplexing?
- separate priority queues for params and suboperations?
- fancy new datastructure with dedupe + priority queueing built-in
- buffering: do 3/5/10 GetCategoryInfos before fetching member pages
- early subop production based on next parameter priority
sinking below a certain threshold?
(e.g., next param's subcats=5 -> fetch more category infos)
"""
DEFAULT_API_URL = 'http://en.wikipedia.org/w/api.php'
DEFAULT_BASE_URL = 'http://en.wikipedia.org/wiki/'
DEFAULT_HEADERS = {'User-Agent': ('Wapiti/0.0.0 Mahmoud Hashemi'
' mahmoudrhashemi@gmail.com') }
ALL = MaxInt('ALL')
DEFAULT_MIN = 50
class WapitiException(Exception):
pass
class NoMoreResults(Exception):
pass
DEFAULT_WEB_CLIENT = ransom.Client({'headers': DEFAULT_HEADERS})
class MockClient(object):
def __init__(self, is_bot=False, **kwargs):
self.debug = kwargs.pop('debug', False)
self.web_client = DEFAULT_WEB_CLIENT
self.api_url = DEFAULT_API_URL
self.is_bot = is_bot
DEFAULT_CLIENT = MockClient()
Tune = make_type_wrapper('Tune', [('priority', None), ('buffer', None)])
Recursive = make_type_wrapper('Recursive', [('is_recursive', True)])
def get_unwrapped_options(wr_type):
try:
return dict(wr_type._wrapped_dict), wr_type._wrapped
except AttributeError:
return {}, wr_type
class LimitSpec(object):
def __init__(self, _max, bot_max=None):
self.max = int(_max)
self.bot_max = bot_max or (self.max * 10)
def get_limit(self, is_bot=False):
if is_bot:
return self.bot_max
return self.max
def __int__(self):
return self.max
class ParamLimit(LimitSpec):
pass
class QueryLimit(LimitSpec):
def __init__(self, _max, bot_max=None, mw_default=None, _min=None):
super(QueryLimit, self).__init__(_max, bot_max)
self.mw_default = mw_default
if _min is None:
_min = DEFAULT_MIN
self.min = min(self.max, _min)
PL_50_500 = ParamLimit(50, 500)
QL_50_500 = QueryLimit(50, 500, 10)
DEFAULT_QUERY_LIMIT = QL_500_5000 = QueryLimit(500, 5000, 10)
def get_inputless_init(old_init):
"""
Used for Operations like get_random() which don't take an input
parameter.
"""
if getattr(old_init, '_is_inputless', None):
return old_init
@wraps(old_init)
def inputless_init(self, limit=None, **kw):
kw['input_param'] = None
return old_init(self, limit=limit, **kw)
inputless_init._is_inputless = True
return inputless_init
def get_field_str(field):
out_str = field.key
mods = []
if field.required:
mods.append('required')
if field.multi:
mods.append('multi')
if mods:
out_str += ' (%s)' % ', '.join(mods)
return out_str
def operation_signature_doc(operation):
if operation.input_field is None:
doc_input = 'None'
else:
doc_input = operation.input_field.key
doc_output = operation.singular_output_type.__name__
doc_template = 'Input: %s\n'
if operation.is_bijective:
doc_template += 'Output: %s\n'
else:
doc_template += 'Output: List of %s\n'
print_fields = [f for f in getattr(operation, 'fields', [])
if not isinstance(f, StaticParam)]
if print_fields:
doc_template += 'Options: '
doc_template += ','.join([get_field_str(f) for f in print_fields]) + '\n'
if hasattr(operation, 'examples'):
doc_template += 'Examples: \n\t'
doc_template += '\n\t'.join([repr(x) for x in operation.examples]) + '\n'
return doc_template % (doc_input, doc_output)
class OperationMeta(ABCMeta):
_all_ops = []
def __new__(cls, name, bases, attrs):
ret = super(OperationMeta, cls).__new__(cls, name, bases, attrs)
if name == 'Operation' or name == 'QueryOperation':
return ret # TODO: add elegance?
subop_chain = getattr(ret, 'subop_chain', [])
try:
input_field = ret.input_field
except AttributeError:
input_field = subop_chain[0].input_field
ret.input_field = input_field
if input_field is None:
ret.__init__ = get_inputless_init(ret.__init__)
else:
input_field.required = True
# TODO: run through subop_chain, checking the outputs match up
try:
output_type = ret.output_type
except AttributeError:
output_type = subop_chain[-1].singular_output_type
for st in subop_chain:
if not st.is_bijective:
output_type = [output_type]
break
ret.output_type = output_type
try:
ret.singular_output_type = ret.output_type[0]
except (TypeError, IndexError):
ret.singular_output_type = ret.output_type
# TODO: support manual overrides for the following?
ret.is_multiargument = getattr(input_field, 'multi', False)
ret.is_bijective = True
if type(output_type) is list and output_type:
ret.is_bijective = False
for ex in getattr(ret, 'examples', []):
ex.bind_op_type(ret)
ret.__doc__ = (ret.__doc__ and ret.__doc__ + '\n') or ''
ret.__doc__ += operation_signature_doc(ret)
cls._all_ops.append(ret)
return ret
@property
def help_str(self):
ret = '\n\t'.join([self.__name__] + self.__doc__.strip().split('\n'))
# TODO move options and examples to the __doc__
ret += '\n'
return ret
class OperationQueue(object):
# TODO: chunking/batching should probably happen here
# with the assistance of another queue for prioritized params
# (i.e., don't create subops so eagerly)
def __init__(self, qid, op_type, default_limit=ALL):
self.qid = qid
options, unwrapped = get_unwrapped_options(op_type)
self.op_type = op_type
self.unwrapped_type = unwrapped
self.options = options
self.unique_key = options.get('unique_key', 'unique_key')
self.unique_func = get_unique_func(self.unique_key)
self.priority = options.get('priority', 0)
self.priority_func = get_priority_func(self.priority)
self.default_limit = default_limit
self.param_set = set()
self.op_queue = PriorityQueue()
self._dup_params = []
def enqueue(self, param, **kw):
unique_key = self.unique_func(param)
if unique_key in self.param_set:
self._dup_params.append(unique_key)
return
priority = self.priority_func(param)
kwargs = {'limit': self.default_limit}
kwargs.update(kw)
new_subop = self.op_type(param, **kwargs)
new_subop._origin_queue = self.qid
self.op_queue.add(new_subop, priority)
self.param_set.add(unique_key)
def enqueue_many(self, param_list, **kw):
for param in param_list:
self.enqueue(param, **kw)
return
def __len__(self):
return len(self.op_queue)
def peek(self, *a, **kw):
return self.op_queue.peek(*a, **kw)
def pop(self, *a, **kw):
return self.op_queue.pop(*a, **kw)
class Operation(object):
"""
An abstract class connoting some semblance of statefulness and
introspection (e.g., progress monitoring).
"""
__metaclass__ = OperationMeta
subop_chain = []
def __init__(self, input_param, limit=None, **kw):
self.client = kw.pop('client', None)
if self.client is None:
self.client = DEFAULT_CLIENT
self.api_url = self.client.api_url
self.is_bot_op = self.client.is_bot
self.set_input_param(input_param)
self.set_limit(limit)
self.kwargs = kw
self.started = False
self.results = OrderedDict()
subop_queues = [OperationQueue(0, type(self))]
if self.subop_chain:
subop_queues.extend([OperationQueue(i + 1, st) for i, st
in enumerate(self.subop_chain)])
subop_queues[1].enqueue_many(self.input_param_list,
client=self.client)
self.subop_queues = subop_queues
def get_progress(self):
return len(self.results)
def get_relative_progress(self):
if self.limit and self.limit is not ALL:
return len(self.results) / float(self.limit)
return 0.0
def set_input_param(self, param):
self._orig_input_param = self._input_param = param
if self.input_field:
self._input_param = self.input_field.get_value(param)
self._input_param_list = self.input_field.get_value_list(param)
else:
self._input_param = None
self._input_param_list = [] # TODO: necessary?
@property
def input_param(self):
return self._input_param
@property
def input_param_list(self):
return self._input_param_list
@property
def source(self):
return self.api_url
def set_limit(self, limit):
# TODO: add support for callable limit getters?
self._orig_limit = limit
if isinstance(limit, Operation):
self.parent = limit
if self.is_bijective and self.input_field:
limit = len(self.input_param_list)
self._limit = limit
@property
def limit(self):
if isinstance(self._limit, Operation):
return self._limit.remaining
return self._limit
@property
def remaining(self):
limit = self.limit
if limit is None:
limit = ALL
return max(0, limit - len(self.results))
def process(self):
self.started = True
task = self.get_current_task()
if self.client.debug:
print self.__class__.__name__, self.remaining
if task is None:
raise NoMoreResults()
elif isinstance(task, Operation):
results = task.process()
elif callable(task): # not actually used
results = task()
else:
msg = 'task expected as Operation or callable, not: %r' % task
raise TypeError(msg)
# TODO: check resp for api errors/warnings
# TODO: check for unrecognized parameter values
new_results = self.store_results(task, results)
return new_results
def get_current_task(self):
if not self.remaining:
return None
for subop_queue in reversed(self.subop_queues):
while subop_queue:
subop = subop_queue.peek()
if subop.remaining:
return subop
else:
subop_queue.pop()
return None
def store_results(self, task, results):
new_res = []
oqi = getattr(task, '_origin_queue', None)
if oqi is None:
return self._update_results(results)
dqi = oqi + 1
origin_queue = self.subop_queues[oqi]
is_recursive = origin_queue.options.get('is_recursive')
if is_recursive:
origin_queue.enqueue_many(results, client=self.client)
if dqi < len(self.subop_queues):
dest_queue = self.subop_queues[dqi]
dest_queue.enqueue_many(results, client=self.client)
else:
new_res = self._update_results(results)
return new_res
def _update_results(self, results):
ret = []
filt_exists = self.kwargs.get('exists')
filt_exists = filt_exists if filt_exists is None else bool(filt_exists)
for res in results:
if not self.remaining:
break
if filt_exists is not None and res.exists is not filt_exists:
continue
unique_key = getattr(res, 'unique_key', res)
if unique_key in self.results:
continue
self.results[unique_key] = res
ret.append(res)
return ret
def process_all(self):
while 1: # TODO: +retry behavior
try:
self.process()
except NoMoreResults:
break
return self.results.values()
__call__ = process_all
def __repr__(self):
cn = self.__class__.__name__
if self.input_field is None:
return '%s(limit=%r)' % (cn, self.limit)
tmpl = '%s(%s, limit=%r)' # add dynamic-limity stuff
try:
ip_disp = repr(self.input_param)
except:
ip_disp = "'(unprintable param)'"
return tmpl % (cn, ip_disp, self.limit)
class QueryOperation(Operation):
api_action = 'query'
field_prefix = None # e.g., 'gcm'
cont_str_key = None
per_query_limit = DEFAULT_QUERY_LIMIT
default_limit = ALL
def __init__(self, input_param, limit=None, **kw):
if limit is None:
limit = self.default_limit
super(QueryOperation, self).__init__(input_param, limit, **kw)
self.cont_strs = []
self._set_params()
if self.is_bijective and self.input_param and \
len(self.input_param_list) > self.per_query_param_limit:
self.is_multiplexing = True
self._setup_multiplexing()
else:
self.is_multiplexing = False
def _set_params(self):
is_bot_op = self.is_bot_op
params = {}
for field in self.fields:
pref_key = field.get_key(self.field_prefix)
kw_val = self.kwargs.get(field.key)
params[pref_key] = field.get_value(kw_val)
if self.input_field:
qp_key_pref = self.input_field.get_key(self.field_prefix)
qp_val = self.input_field.get_value(self.input_param)
params[qp_key_pref] = qp_val
field_limit = self.input_field.limit or PL_50_500
try:
pq_pl = field_limit.get_limit(is_bot_op)
except AttributeError:
pq_pl = int(field_limit)
self.per_query_param_limit = pq_pl
self.params = params
try:
per_query_limit = self.per_query_limit.get_limit(is_bot_op)
except AttributeError:
per_query_limit = int(self.per_query_limit)
self.per_query_limit = per_query_limit
return
def _setup_multiplexing(self):
subop_queue = self.subop_queues[0]
chunk_size = self.per_query_param_limit
for chunk in chunked_iter(self.input_param_list, chunk_size):
subop_queue.enqueue(tuple(chunk), client=self.client) # TODO
return
@property
def current_limit(self):
ret = self.remaining
if not self.is_bijective:
ret = max(DEFAULT_MIN, ret)
ret = min(ret, self.per_query_limit)
return ret
@property
def remaining(self):
if self.is_depleted:
return 0
return super(QueryOperation, self).remaining
@property
def last_cont_str(self):
if not self.cont_strs:
return None
return self.cont_strs[-1]
@property
def is_depleted(self):
if self.cont_strs and self.last_cont_str is None:
return True
return False
@classmethod
def get_field_dict(cls):
ret = dict([(f.get_key(cls.field_prefix), f) for f in cls.fields])
if cls.input_field:
query_key = cls.input_field.get_key(cls.field_prefix)
ret[query_key] = cls.input_field
return ret
def get_current_task(self):
if self.is_multiplexing:
return super(QueryOperation, self).get_current_task()
if not self.remaining:
return None
params = self.prepare_params(**self.kwargs)
mw_call = MediaWikiCall(params, client=self.client)
return mw_call
def prepare_params(self, **kw):
params = dict(self.params)
if not self.is_bijective:
params[self.field_prefix + 'limit'] = self.current_limit
if self.last_cont_str:
params[self.cont_str_key] = self.last_cont_str
params['action'] = self.api_action
return params
def post_process_response(self, response):
"""
Used to rectify inconsistencies in API responses (looking at
you, Feedback API)
"""
return response.results.get(self.api_action)
def extract_results(self, resp):
raise NotImplementedError('inheriting classes should return'
' a list of results from the response')
def get_cont_str(self, resp):
qc_val = resp.results.get(self.api_action + '-continue')
if qc_val is None:
return None
for key in ('generator', 'prop', 'list'):
if key in self.params:
next_key = self.params[key]
break
else:
raise KeyError("couldn't find contstr")
if not self.cont_str_key:
self.cont_str_key = qc_val[next_key].keys()[0]
return qc_val[next_key][self.cont_str_key]
def store_results(self, task, resp):
if self.is_multiplexing:
return super(QueryOperation, self).store_results(task, resp)
if resp.notices: # TODO: lift this
self._notices = list(resp.notices)
self._url = resp.url
print "may have an error: %r (%r)" % (resp.notices, resp.url)
processed_resp = self.post_process_response(resp)
if processed_resp is None:
new_cont_str = self.get_cont_str(resp) # TODO: DRY this.
self.cont_strs.append(new_cont_str)
return [] # TODO: keep an eye on this
try:
new_results = self.extract_results(processed_resp)
except Exception:
raise
super(QueryOperation, self).store_results(task, new_results)
new_cont_str = self.get_cont_str(resp)
self.cont_strs.append(new_cont_str)
return new_results
BASE_API_PARAMS = {'format': 'json',
'servedby': 'true'}
class MediaWikiCall(Operation):
"""
Sets up actual API HTTP request, makes the request, encapsulates
error handling, and stores results.
"""
input_field = SingleParam('url_params') # param_type=dict)
output_type = Operation
_limit = 1
def __init__(self, params, **kw):
# These settings will all go on the WapitiClient
self.raise_exc = kw.pop('raise_exc', True)
self.raise_err = kw.pop('raise_err', True)
self.raise_warn = kw.pop('raise_warn', False)
self.client = kw.pop('client')
self.web_client = getattr(self.client,
'web_client',
DEFAULT_WEB_CLIENT)
if kw:
raise ValueError('got unexpected keyword arguments: %r'
% kw.keys())
self.api_url = self.client.api_url
params = params or {}
self.params = dict(BASE_API_PARAMS)
self.params.update(params)
self.action = params['action']
self.url = ''
self.results = None
self.servedby = None
self.exception = None
self.error = None
self.error_code = None
self.warnings = []
self._input_param = params
def process(self):
# TODO: add URL to all exceptions
resp = None
try:
resp = self.web_client.get(self.api_url, self.params)
except Exception as e:
# TODO: log
self.exception = e # TODO: wrap
if self.raise_exc:
raise
return self
finally:
self.url = getattr(resp, 'url', '')
try:
self.results = json.loads(resp.text)
except Exception as e:
self.exception = e # TODO: wrap
if self.raise_exc:
raise
return self
self.servedby = self.results.get('servedby')
error = self.results.get('error')
if error:
self.error = error.get('info')
self.error_code = error.get('code')
warnings = self.results.get('warnings', {})
for mod_name, warn_dict in warnings.items():
warn_str = '%s: %s' % (mod_name, warn_dict.get('*', warn_dict))
self.warnings.append(warn_str)
if self.error and self.raise_err:
raise WapitiException(self.error_code)
if self.warnings and self.raise_warn:
raise WapitiException('warnings: %r' % self.warnings)
return self
@property
def notices(self):
ret = []
if self.exception:
ret.append(self.exception)
if self.error:
ret.append(self.error)
if self.warnings:
ret.extend(self.warnings)
return ret
@property
def remaining(self):
if self.done:
return 0
return 1
class WebRequestOperation(Operation):
input_field = SingleParam('url')
output_type = Operation
_limit = 1
def __init__(self, input_param, **kw):
self.client = kw.pop('client', None)
self.web_client = getattr(self.client,
'web_client',
DEFAULT_WEB_CLIENT)
self.action = kw.pop('action', 'get')
self.raise_exc = kw.pop('raise_exc', True)
if kw:
raise ValueError('got unexpected keyword arguments: %r'
% kw.keys())
self.set_input_param(input_param)
self.url = self._input_param
self.kwargs = kw
self.results = {}
def process(self):
resp = None
try:
resp = self.web_client.req(self.action, self.url)
except Exception as e:
self.exception = e
if self.raise_exc:
raise
return self
self.results[self.url] = resp.text
raise NoMoreResults()
#return self
class GetPageHTML(Operation):
input_field = SingleParam('title')
examples = [OperationExample('Africa', limit=1)]
output_type = Operation
_limit = 1
def __init__(self, *a, **kw):
super(GetPageHTML, self).__init__(*a, **kw)
self.web_client = getattr(self.client,
'web_client',
DEFAULT_WEB_CLIENT)
self.raise_exc = kw.pop('raise_exc', True)
source_info = getattr(self.client, 'source_info', None)
if source_info:
main_title = source_info.mainpage
main_url = source_info.base
self.base_url = main_url[:-len(main_title)]
else:
self.base_url = DEFAULT_BASE_URL
self.url = self.base_url + self.input_param
self.results = {}
def process(self):
try:
resp = self.web_client.get(self.url)
except Exception as e:
self.exception = e
if self.raise_exc:
raise
return self
self.results[self.url] = resp.text
raise NoMoreResults()
|
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def activity_post_save_doc_template_values(url_root):
"""
Show documentation about activityPostSave
"""
required_query_parameter_list = [
{
'name': 'voter_device_id',
'value': 'string', # boolean, integer, long, string
'description': 'An 88 character unique identifier linked to a voter record on the server',
},
{
'name': 'api_key',
'value': 'string (from post, cookie, or get (in that order))', # boolean, integer, long, string
'description': 'The unique key provided to any organization using the WeVoteServer APIs',
},
]
optional_query_parameter_list = [
{
'name': 'statement_text',
'value': 'string', # boolean, integer, long, string
'description': 'A text comment.',
},
{
'name': 'visibility_setting',
'value': 'string', # boolean, integer, long, string
'description': 'Two values are currently supported: \'FRIENDS_ONLY\' or \'SHOW_PUBLIC\'.',
},
]
potential_status_codes_list = [
{
'code': 'VALID_VOTER_DEVICE_ID_MISSING',
'description': 'Cannot proceed. A valid voter_device_id parameter was not included.',
},
{
'code': 'VALID_VOTER_ID_MISSING',
'description': 'Cannot proceed. A valid voter_id was not found.',
},
]
try_now_link_variables_dict = {
# 'organization_we_vote_id': 'wv85org1',
}
api_response = '{\n' \
' "status": string,\n' \
' "success": boolean,\n' \
' "date_created": string,\n' \
' "date_last_changed": string,\n' \
' "date_of_notice": string,\n' \
' "id": integer,\n' \
' "activity_post_id": integer,\n' \
' "kind_of_activity": string,\n' \
' "kind_of_seed": string,\n' \
' "new_positions_entered_count": integer,\n' \
' "position_we_vote_id_list": list,\n' \
' "speaker_name": string,\n' \
' "speaker_organization_we_vote_id": string,\n' \
' "speaker_voter_we_vote_id": string,\n' \
' "speaker_profile_image_url_medium": string,\n' \
' "speaker_profile_image_url_tiny": string,\n' \
' "speaker_twitter_handle": string,\n' \
' "speaker_twitter_followers_count": number,\n' \
' "statement_text": string,\n' \
' "visibility_is_public": boolean,\n' \
'}'
template_values = {
'api_name': 'activityPostSave',
'api_slug': 'activityPostSave',
'api_introduction':
"Save a new comment posted to the news feed.",
'try_now_link': 'apis_v1:activityPostSaveView',
'try_now_link_variables_dict': try_now_link_variables_dict,
'url_root': url_root,
'get_or_post': 'GET',
'required_query_parameter_list': required_query_parameter_list,
'optional_query_parameter_list': optional_query_parameter_list,
'api_response': api_response,
'api_response_notes':
"",
'potential_status_codes_list': potential_status_codes_list,
}
return template_values
|
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import os
import re
import sys
from setuptools import find_packages, setup
from cx_Freeze import setup, Executable # noqa re-import setup
from wsgidav import __version__
# Check for Windows MSI Setup
if "bdist_msi" not in sys.argv: # or len(sys.argv) != 2:
raise RuntimeError(
"This setup.py variant is only for creating 'bdist_msi' targets: {}\n"
"Example `{} bdist_msi`".format(sys.argv, sys.argv[0])
)
org_version = __version__
# 'setup.py upload' fails on Vista, because .pypirc is searched on 'HOME' path
# if "HOME" not in os.environ and "HOMEPATH" in os.environ:
# os.environ.setdefault("HOME", os.environ.get("HOMEPATH", ""))
# print("Initializing HOME environment variable to '{}'".format(os.environ["HOME"]))
# Since we included pywin32 extensions, cx_Freeze tries to create a
# version resource. This only supports the 'a.b.c[.d]' format.
# Our version has either the for '1.2.3' or '1.2.3-a1'
unsafe_version = False
major, minor, patch = org_version.split(".", 3)
major = int(major)
minor = int(minor)
if "-" in patch:
# We have a pre-release version, e.g. '1.2.3-a1'.
# This is presumably a post-release increment after '1.2.2' release.
# It must NOT be converted to '1.2.3.1', since that would be *greater*
# than '1.2.3', which is not even released yet.
# Approach 1:
# We cannot guarantee that '1.2.2.1' is correct either, so for
# pre-releases we assume '0.0.0.0':
# major = minor = patch = alpha = 0
# Approach 2:
# '1.2.3-a1' was presumably a post-release increment after '1.2.2',
# so assume '1.2.2.1':
patch, alpha = patch.split("-", 1)
patch = int(patch)
# Remove leading letters
alpha = re.sub("^[a-zA-Z]+", "", alpha)
alpha = int(alpha)
if unsafe_version and patch >= 1:
patch -= 1 # 1.2.3-a1 => 1.2.2.1
else:
# may be 1.2.0-a1 or 2.0.0-a1: we don't know what the previous release was
major = minor = patch = alpha = 0
else:
patch = int(patch)
alpha = 0
version = "{}.{}.{}.{}".format(major, minor, patch, alpha)
print("Version {}, using {}".format(org_version, version))
try:
readme = open("README.md", "rt").read()
except IOError:
readme = "(readme not found. Running from tox/setup.py test?)"
# These dependencies are for plain WsgiDAV:
# NOTE: Only need to list requirements that are not discoverable by scanning
# the main package. For example due to dynamic or optional imports.
# Also, cx_Freeze may have difficulties with packages listed here, e.g. PpyYAML:
# https://github.com/marcelotduarte/cx_Freeze/issues/1541
install_requires = []
# ... The Windows MSI Setup should include lxml and CherryPy
install_requires.extend(
[
"cheroot",
"lxml",
]
)
setup_requires = install_requires
tests_require = []
executables = [
Executable(
script="wsgidav/server/server_cli.py",
base=None,
# base="Win32GUI",
target_name="wsgidav.exe",
icon="docs/source/logo.ico",
shortcut_name="WsgiDAV",
copyright="(c) 2009-2022 Martin Wendt",
# trademarks="...",
)
]
# See https://cx-freeze.readthedocs.io/en/latest/distutils.html#build-exe
build_exe_options = {
"includes": install_requires,
# "include_files": [],
"packages": [
"asyncio", # https://stackoverflow.com/a/41881598/19166
"cheroot",
"dbm",
"wsgidav.dir_browser",
"wsgidav.dc.nt_dc",
],
"excludes": [
"tkinter",
],
"constants": "BUILD_COPYRIGHT='(c) 2009-2022 Martin Wendt'",
# "init_script": "Console",
"include_msvcr": True,
}
# See https://cx-freeze.readthedocs.io/en/latest/distutils.html#bdist-msi
bdist_msi_options = {
"upgrade_code": "{92F74137-38D1-48F6-9730-D5128C8B611E}",
"add_to_path": True,
# "all_users": True,
"install_icon": "docs/source/logo.ico",
# "summary_data": {"author": "Martin Wendt"},
}
setup(
name="WsgiDAV",
version=version,
author="Martin Wendt",
author_email="wsgidav@wwwendt.de",
maintainer="Martin Wendt",
maintainer_email="wsgidav@wwwendt.de",
url="https://github.com/mar10/wsgidav/",
description="Generic and extendable WebDAV server based on WSGI",
long_description=readme,
long_description_content_type="text/markdown",
classifiers=[], # not required for this build-only setup config
keywords="web wsgi webdav application server",
license="MIT",
packages=find_packages(exclude=["tests"]),
package_data={
# If any package contains *.txt files, include them:
# "": ["*.css", "*.html", "*.ico", "*.js"],
"wsgidav.dir_browser": ["htdocs/*.*"]
},
install_requires=install_requires,
setup_requires=setup_requires,
tests_require=tests_require,
py_modules=[],
zip_safe=False,
extras_require={},
# cmdclass={"test": ToxCommand, "sphinx": SphinxCommand},
entry_points={"console_scripts": ["wsgidav = wsgidav.server.server_cli:run"]},
options={
"build_exe": build_exe_options,
"bdist_msi": bdist_msi_options,
},
# Used by cx_Freeze:
executables=executables,
)
|
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from __future__ import unicode_literals
import django.contrib.auth.models
import django.contrib.auth.validators
from django.db import migrations, models
import django.utils.timezone
import user.models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0008_alter_user_username_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('password', models.CharField(max_length=128, verbose_name='password')),
('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')),
('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')),
('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')),
('first_name', models.CharField(blank=True, max_length=30, verbose_name='first name')),
('last_name', models.CharField(blank=True, max_length=30, verbose_name='last name')),
('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')),
('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')),
('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')),
('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')),
('nickname', models.CharField(max_length=50, unique=True)),
('bio', models.CharField(blank=True, max_length=120)),
('url', models.URLField(blank=True, max_length=100)),
('location', models.CharField(blank=True, max_length=100)),
('avatar', models.ImageField(upload_to=user.models.user_avatar_path)),
('last_login_ip', models.GenericIPAddressField(blank=True, null=True, unpack_ipv4=True)),
('ip_joined', models.GenericIPAddressField(blank=True, null=True, unpack_ipv4=True)),
('client_mark', models.CharField(blank=True, default='weixin', max_length=10, null=True)),
('weixin_nickName', models.CharField(blank=True, max_length=50, null=True)),
('weixin_avatarUrl', models.URLField(blank=True, null=True)),
('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')),
('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')),
],
options={
'verbose_name': 'user',
'verbose_name_plural': 'users',
'abstract': False,
},
managers=[
('objects', django.contrib.auth.models.UserManager()),
],
),
]
|
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"""
Payload Voice ARI
"""
import functools
from ari import client
from ari import event
from fysom import Fysom
from oslo.config import cfg
from payloadvoice.openstack.common import log
from payloadvoice.openstack.common import uuidutils
ASTERISK_OPTS = [
cfg.StrOpt(
'uri', default='http://127.0.0.1:8088/ari',
help='Complete Asterisk REST interface endpoint.'),
cfg.StrOpt(
'username', default='payload',
help='Asterisk REST interface username.'),
cfg.StrOpt(
'password', default=None,
help='Asterisk REST interface password.'),
]
ASTERISK_GROUP = cfg.OptGroup(
name='asterisk', title='Options for Asterisk integration.')
CONF = cfg.CONF
CONF.register_group(ASTERISK_GROUP)
CONF.register_opts(ASTERISK_OPTS, ASTERISK_GROUP)
LOG = log.getLogger(__name__)
class Connection(object):
def __init__(self, fsm):
self._bridges = dict()
self._channels = dict()
self.client = client.get_client(
'1',
endpoint=CONF.asterisk.uri,
username=CONF.asterisk.username,
password=CONF.asterisk.password)
self.events = event.Event(
url=CONF.asterisk.uri, username=CONF.asterisk.username,
password=CONF.asterisk.password, app='demo')
self.events.register_event('StasisStart', self._handle_stasis_start)
self.events.register_event('StasisEnd', self._handle_stasis_stop)
self.events.register_event(
'ChannelStateChange', self._handle_channel_state_change)
self.events.register_event(
'ChannelEnteredBridge', self._handle_channel_entered_bridge)
self.fsm = fsm
def _handle_channel_entered_bridge(self, data):
bridge = data['bridge']['id']
channel = data['channel']['id']
self._channels[channel].queue(channel=channel, bridge=bridge)
def _handle_channel_state_change(self, data):
channel = data['channel']['id']
if data['channel']['state'] == 'Up':
self._channels[channel].channel_up(channel=channel)
def _handle_stasis_start(self, data):
channel = data['channel']['id']
self._channels[channel] = Fysom(self.fsm)
self._channels[channel].start(channel=channel)
def _handle_stasis_stop(self, data):
channel = data['channel']['id']
self._channels[channel].end(channel=channel)
del self._channels[channel]
def answer(self, channel):
self.client.channels.answer(channel)
def bridge_create(self, channel):
uuid = uuidutils.generate_uuid()
self._bridges[channel] = uuid
func = functools.partial(
self._bridge_create_callback, channel=channel)
self.client.bridges.create(
uuid=uuid, type='mixing',
callback=func)
def bridge_delete(self, channel):
self.client.bridges.delete(self._bridges[channel])
del self._bridges[channel]
def _bridge_create_callback(self, bridge, channel):
self.client.bridges.add_music(
uuid=bridge.id)
self.client.bridges.add(
bridge.id, channel=channel)
|
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"""Support for RESTful binary sensors."""
import voluptuous as vol
from homeassistant.components.binary_sensor import (
DOMAIN as BINARY_SENSOR_DOMAIN,
PLATFORM_SCHEMA,
BinarySensorEntity,
)
from homeassistant.const import (
CONF_DEVICE_CLASS,
CONF_FORCE_UPDATE,
CONF_NAME,
CONF_RESOURCE,
CONF_RESOURCE_TEMPLATE,
CONF_VALUE_TEMPLATE,
)
from homeassistant.exceptions import PlatformNotReady
import homeassistant.helpers.config_validation as cv
from . import async_get_config_and_coordinator, create_rest_data_from_config
from .entity import RestEntity
from .schema import BINARY_SENSOR_SCHEMA, RESOURCE_SCHEMA
PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend({**RESOURCE_SCHEMA, **BINARY_SENSOR_SCHEMA})
PLATFORM_SCHEMA = vol.All(
cv.has_at_least_one_key(CONF_RESOURCE, CONF_RESOURCE_TEMPLATE), PLATFORM_SCHEMA
)
async def async_setup_platform(hass, config, async_add_entities, discovery_info=None):
"""Set up the REST binary sensor."""
# Must update the sensor now (including fetching the rest resource) to
# ensure it's updating its state.
if discovery_info is not None:
conf, coordinator, rest = await async_get_config_and_coordinator(
hass, BINARY_SENSOR_DOMAIN, discovery_info
)
else:
conf = config
coordinator = None
rest = create_rest_data_from_config(hass, conf)
await rest.async_update(log_errors=False)
if rest.data is None:
if rest.last_exception:
raise PlatformNotReady from rest.last_exception
raise PlatformNotReady
name = conf.get(CONF_NAME)
device_class = conf.get(CONF_DEVICE_CLASS)
value_template = conf.get(CONF_VALUE_TEMPLATE)
force_update = conf.get(CONF_FORCE_UPDATE)
resource_template = conf.get(CONF_RESOURCE_TEMPLATE)
if value_template is not None:
value_template.hass = hass
async_add_entities(
[
RestBinarySensor(
coordinator,
rest,
name,
device_class,
value_template,
force_update,
resource_template,
)
],
)
class RestBinarySensor(RestEntity, BinarySensorEntity):
"""Representation of a REST binary sensor."""
def __init__(
self,
coordinator,
rest,
name,
device_class,
value_template,
force_update,
resource_template,
):
"""Initialize a REST binary sensor."""
super().__init__(
coordinator, rest, name, device_class, resource_template, force_update
)
self._state = False
self._previous_data = None
self._value_template = value_template
self._is_on = None
@property
def is_on(self):
"""Return true if the binary sensor is on."""
return self._is_on
def _update_from_rest_data(self):
"""Update state from the rest data."""
if self.rest.data is None:
self._is_on = False
response = self.rest.data
if self._value_template is not None:
response = self._value_template.async_render_with_possible_json_value(
self.rest.data, False
)
try:
self._is_on = bool(int(response))
except ValueError:
self._is_on = {"true": True, "on": True, "open": True, "yes": True}.get(
response.lower(), False
)
|
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|
import pycompiler
import unittest
import re
# Copied from deps. TODO: Refactor to avoid copy+paste
def striptags(x, v):
tags = v.split(",")
subbed = x
for tag in tags:
subbed = re.sub(r'<%s.*?>.*?</%s>' % (tag, tag), '', subbed)
subbed = re.sub(r'<%s.*?/>' % tag, '', subbed)
return subbed
class TestFunctions(unittest.TestCase):
def setUp(self):
pass
def verify_true_filter(self, code, indata):
self.assertTrue(eval("lambda x:" + code)(indata))
def verify_false_filter(self, code, indata):
self.assertFalse(eval("lambda x:" + code)(indata))
def verify_fine_filter(self, code, indata, expected_outdata):
self.assertEquals(expected_outdata, eval("lambda x:" + code)(indata))
def test_starts_filter(self):
code = pycompiler.compile_starts_filter("'hel'")
self.verify_true_filter(code, "hello world")
self.verify_true_filter(code, "helium")
self.verify_false_filter(code, "HELLO")
self.verify_false_filter(code, "foobar")
def test_ends_filter(self):
code = pycompiler.compile_ends_filter("'rld'")
self.verify_true_filter(code, "hello world")
self.verify_true_filter(code, "world")
self.verify_false_filter(code, "WORLD")
self.verify_false_filter(code, "foobar")
def test_contains_filter(self):
code = pycompiler.compile_contains_filter("'llo'")
self.verify_true_filter(code, "hello world")
self.verify_true_filter(code, "lollollol")
self.verify_false_filter(code, "HELLO")
self.verify_false_filter(code, "foobar")
def test_length_filter(self):
code = pycompiler.compile_length_filter("'>5'")
self.verify_true_filter(code, "hello world")
self.verify_true_filter(code, "lollollol")
self.verify_false_filter(code, "HELLO")
self.verify_false_filter(code, "foo")
code = pycompiler.compile_length_filter("'<5'")
self.verify_false_filter(code, "hello world")
self.verify_false_filter(code, "lollollol")
self.verify_false_filter(code, "HELLO")
self.verify_true_filter(code, "foo")
code = pycompiler.compile_length_filter("'==5'")
self.verify_false_filter(code, "hello world")
self.verify_false_filter(code, "lollollol")
self.verify_true_filter(code, "HELLO")
self.verify_false_filter(code, "foo")
def test_matches_filter(self):
code = pycompiler.compile_matches_filter("'[A-Z]+100[ABC]'")
self.verify_true_filter(code, "HELLO100B")
self.verify_true_filter(code, "YO100A")
self.verify_false_filter(code, "hello100b")
self.verify_false_filter(code, "foobar")
def test_after_filter(self):
code = pycompiler.compile_after_filter("'ello'")
self.verify_fine_filter(code, "hello world", " world")
self.verify_fine_filter(code, "hello hi, hello hey", " hi, hello hey")
self.verify_fine_filter(code, "foobar", "")
def test_before_filter(self):
code = pycompiler.compile_before_filter("'llo'")
self.verify_fine_filter(code, "hello world", "he")
self.verify_fine_filter(code, "hello hi, hello hey", "he")
self.verify_fine_filter(code, "foobar", "foobar")
def test_afterpos_filter(self):
code = pycompiler.compile_afterpos_filter("'0'")
self.verify_fine_filter(code, "hello world", "hello world")
code = pycompiler.compile_afterpos_filter("'2'")
self.verify_fine_filter(code, "hello world", "llo world")
code = pycompiler.compile_afterpos_filter("'200'")
self.verify_fine_filter(code, "hello world", "")
def test_beforepos_filter(self):
code = pycompiler.compile_beforepos_filter("'0'")
self.verify_fine_filter(code, "hello world", "")
code = pycompiler.compile_beforepos_filter("'2'")
self.verify_fine_filter(code, "hello world", "he")
code = pycompiler.compile_beforepos_filter("'200'")
self.verify_fine_filter(code, "hello world", "hello world")
def test_exclude_filter(self):
code = pycompiler.compile_exclude_filter("'lo'")
self.verify_fine_filter(code, "hello world", "hel world")
self.verify_fine_filter(code, "hello hello", "hel hel")
self.verify_fine_filter(code, "foobar", "foobar")
def test_striptags_filter(self):
code = pycompiler.compile_striptags_filter("'p'")
self.verify_fine_filter(code, "hello <p>foobar</p> world", "hello world")
code = pycompiler.compile_striptags_filter("'img'")
self.verify_fine_filter(code,
"hello <img src='pic.jpg'/> world",
"hello world")
self.verify_fine_filter(code,
"hello <img src='pic.jpg'/><img src='pic.jpg'/> world",
"hello world")
code = pycompiler.compile_striptags_filter("'p,img'")
self.verify_fine_filter(code,
"hello <p>hello</p><img src='pic.jpg'/>world",
"hello world")
if __name__ == '__main__':
unittest.main()
|
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"""Provides device automations for control of device."""
from __future__ import annotations
from typing import Any
import voluptuous as vol
from homeassistant.components.automation import (
AutomationActionType,
AutomationTriggerInfo,
)
from homeassistant.components.device_automation import DEVICE_TRIGGER_BASE_SCHEMA
from homeassistant.const import CONF_DEVICE_ID, CONF_DOMAIN, CONF_PLATFORM, CONF_TYPE
from homeassistant.core import CALLBACK_TYPE, HomeAssistant
from homeassistant.helpers.device_registry import DeviceRegistry, async_get_registry
from homeassistant.helpers.typing import ConfigType
from . import PhilipsTVDataUpdateCoordinator
from .const import DOMAIN
TRIGGER_TYPE_TURN_ON = "turn_on"
TRIGGER_TYPES = {TRIGGER_TYPE_TURN_ON}
TRIGGER_SCHEMA = DEVICE_TRIGGER_BASE_SCHEMA.extend(
{
vol.Required(CONF_TYPE): vol.In(TRIGGER_TYPES),
}
)
async def async_get_triggers(
hass: HomeAssistant, device_id: str
) -> list[dict[str, Any]]:
"""List device triggers for device."""
triggers = []
triggers.append(
{
CONF_PLATFORM: "device",
CONF_DEVICE_ID: device_id,
CONF_DOMAIN: DOMAIN,
CONF_TYPE: TRIGGER_TYPE_TURN_ON,
}
)
return triggers
async def async_attach_trigger(
hass: HomeAssistant,
config: ConfigType,
action: AutomationActionType,
automation_info: AutomationTriggerInfo,
) -> CALLBACK_TYPE | None:
"""Attach a trigger."""
trigger_data = automation_info["trigger_data"]
registry: DeviceRegistry = await async_get_registry(hass)
if config[CONF_TYPE] == TRIGGER_TYPE_TURN_ON:
variables = {
"trigger": {
**trigger_data,
"platform": "device",
"domain": DOMAIN,
"device_id": config[CONF_DEVICE_ID],
"description": f"philips_js '{config[CONF_TYPE]}' event",
}
}
device = registry.async_get(config[CONF_DEVICE_ID])
for config_entry_id in device.config_entries:
coordinator: PhilipsTVDataUpdateCoordinator = hass.data[DOMAIN].get(
config_entry_id
)
if coordinator:
return coordinator.turn_on.async_attach(action, variables)
return None
|
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|
from __future__ import print_function
from twisted.spread import pb
from twisted.internet import reactor
class Two(pb.Referenceable):
def remote_print(self, arg):
print("Two.print() called with", arg)
def main():
two = Two()
factory = pb.PBClientFactory()
reactor.connectTCP("localhost", 8800, factory)
def1 = factory.getRootObject()
def1.addCallback(got_obj, two) # hands our 'two' to the callback
reactor.run()
def got_obj(obj, two):
print("got One:", obj)
print("giving it our two")
obj.callRemote("takeTwo", two)
main()
|
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|
import unittest
import multiprocessing
import time
import server, client
class MainTest (unittest.TestCase):
"""
This test runs the server in a shell subprocess and after a second
it runs the client in another shell subprocess. Afterwards, it kills
both processes and run assertions on the output.
The testing is a little bit brutal.
"""
def test_run(self):
sp = multiprocessing.Process(target=server.run, args=())
cp = multiprocessing.Process(target=client.run, args=())
sp.start()
time.sleep(1)
cp.start()
time.sleep(1)
sp.terminate()
f = open('client.log')
output = [line.rstrip() for line in f.readlines()]
f.close()
print output
self.assertEqual(output, ['OUT:hello', 'IN:hello', 'OUT:from', 'IN:from', 'OUT:twisted', 'IN:twisted', 'OUT:client', 'IN:client', 'OUT:exit', 'IN:exit'])
|
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