Applying black formatting

- Fixing flake8 configuration to agree with black
- Adding black validation check to github actions
This commit is contained in:
Jacob Alexander
2021-10-01 11:00:22 -07:00
parent 5dade41aeb
commit 6e7fffd7de
51 changed files with 2536 additions and 1837 deletions

View File

@@ -8,23 +8,25 @@ import calculator_capnp
class PowerFunction(calculator_capnp.Calculator.Function.Server):
'''An implementation of the Function interface wrapping pow(). Note that
"""An implementation of the Function interface wrapping pow(). Note that
we're implementing this on the client side and will pass a reference to
the server. The server will then be able to make calls back to the client.'''
the server. The server will then be able to make calls back to the client."""
def call(self, params, **kwargs):
'''Note the **kwargs. This is very necessary to include, since
"""Note the **kwargs. This is very necessary to include, since
protocols can add parameters over time. Also, by default, a _context
variable is passed to all server methods, but you can also return
results directly as python objects, and they'll be added to the
results struct in the correct order'''
results struct in the correct order"""
return pow(params[0], params[1])
def parse_args():
parser = argparse.ArgumentParser(usage='Connects to the Calculator server \
at the given address and does some RPCs')
parser = argparse.ArgumentParser(
usage="Connects to the Calculator server \
at the given address and does some RPCs"
)
parser.add_argument("host", help="HOST:PORT")
return parser.parse_args()
@@ -36,7 +38,7 @@ def main(host):
# Bootstrap the server capability and cast it to the Calculator interface
calculator = client.bootstrap().cast_as(calculator_capnp.Calculator)
'''Make a request that just evaluates the literal value 123.
"""Make a request that just evaluates the literal value 123.
What's interesting here is that evaluate() returns a "Value", which is
another interface and therefore points back to an object living on the
@@ -44,9 +46,9 @@ def main(host):
However, even though we are making two RPC's, this block executes in
*one* network round trip because of promise pipelining: we do not wait
for the first call to complete before we send the second call to the
server.'''
server."""
print('Evaluating a literal... ', end="")
print("Evaluating a literal... ", end="")
# Make the request. Note we are using the shorter function form (instead
# of evaluate_request), and we are passing a dictionary that represents a
@@ -54,13 +56,13 @@ def main(host):
eval_promise = calculator.evaluate({"literal": 123})
# This is equivalent to:
'''
"""
request = calculator.evaluate_request()
request.expression.literal = 123
# Send it, which returns a promise for the result (without blocking).
eval_promise = request.send()
'''
"""
# Using the promise, create a pipelined request to call read() on the
# returned object. Note that here we are using the shortened method call
@@ -74,32 +76,32 @@ def main(host):
print("PASS")
'''Make a request to evaluate 123 + 45 - 67.
"""Make a request to evaluate 123 + 45 - 67.
The Calculator interface requires that we first call getOperator() to
get the addition and subtraction functions, then call evaluate() to use
them. But, once again, we can get both functions, call evaluate(), and
then read() the result -- four RPCs -- in the time of *one* network
round trip, because of promise pipelining.'''
round trip, because of promise pipelining."""
print("Using add and subtract... ", end='')
print("Using add and subtract... ", end="")
# Get the "add" function from the server.
add = calculator.getOperator(op='add').func
add = calculator.getOperator(op="add").func
# Get the "subtract" function from the server.
subtract = calculator.getOperator(op='subtract').func
subtract = calculator.getOperator(op="subtract").func
# Build the request to evaluate 123 + 45 - 67. Note the form is 'evaluate'
# + '_request', where 'evaluate' is the name of the method we want to call
request = calculator.evaluate_request()
subtract_call = request.expression.init('call')
subtract_call = request.expression.init("call")
subtract_call.function = subtract
subtract_params = subtract_call.init('params', 2)
subtract_params = subtract_call.init("params", 2)
subtract_params[1].literal = 67.0
add_call = subtract_params[0].init('call')
add_call = subtract_params[0].init("call")
add_call.function = add
add_params = add_call.init('params', 2)
add_params = add_call.init("params", 2)
add_params[0].literal = 123
add_params[1].literal = 45
@@ -112,7 +114,7 @@ def main(host):
print("PASS")
'''
"""
Note: a one liner version of building the previous request (I highly
recommend not doing it this way for such a complicated structure, but I
just wanted to demonstrate it is possible to set all of the fields with a
@@ -124,22 +126,22 @@ def main(host):
'params': [{'literal': 123},
{'literal': 45}]}},
{'literal': 67.0}]}})
'''
"""
'''Make a request to evaluate 4 * 6, then use the result in two more
"""Make a request to evaluate 4 * 6, then use the result in two more
requests that add 3 and 5.
Since evaluate() returns its result wrapped in a `Value`, we can pass
that `Value` back to the server in subsequent requests before the first
`evaluate()` has actually returned. Thus, this example again does only
one network round trip.'''
one network round trip."""
print("Pipelining eval() calls... ", end="")
# Get the "add" function from the server.
add = calculator.getOperator(op='add').func
add = calculator.getOperator(op="add").func
# Get the "multiply" function from the server.
multiply = calculator.getOperator(op='multiply').func
multiply = calculator.getOperator(op="multiply").func
# Build the request to evaluate 4 * 6
request = calculator.evaluate_request()
@@ -176,7 +178,7 @@ def main(host):
print("PASS")
'''Our calculator interface supports defining functions. Here we use it
"""Our calculator interface supports defining functions. Here we use it
to define two functions and then make calls to them as follows:
f(x, y) = x * 100 + y
@@ -184,14 +186,14 @@ def main(host):
f(12, 34)
g(21)
Once again, the whole thing takes only one network round trip.'''
Once again, the whole thing takes only one network round trip."""
print("Defining functions... ", end="")
# Get the "add" function from the server.
add = calculator.getOperator(op='add').func
add = calculator.getOperator(op="add").func
# Get the "multiply" function from the server.
multiply = calculator.getOperator(op='multiply').func
multiply = calculator.getOperator(op="multiply").func
# Define f.
request = calculator.defFunction_request()
@@ -249,7 +251,7 @@ def main(host):
g_eval_request = calculator.evaluate_request()
g_call = g_eval_request.expression.init("call")
g_call.function = g
g_call.init('params', 1)[0].literal = 21
g_call.init("params", 1)[0].literal = 21
g_eval_promise = g_eval_request.send().value.read()
# Wait for the results.
@@ -258,7 +260,7 @@ def main(host):
print("PASS")
'''Make a request that will call back to a function defined locally.
"""Make a request that will call back to a function defined locally.
Specifically, we will compute 2^(4 + 5). However, exponent is not
defined by the Calculator server. So, we'll implement the Function
@@ -270,12 +272,12 @@ def main(host):
particular case, this could potentially be optimized by using a tail
call on the server side -- see CallContext::tailCall(). However, to
keep the example simpler, we haven't implemented this optimization in
the sample server.'''
the sample server."""
print("Using a callback... ", end="")
# Get the "add" function from the server.
add = calculator.getOperator(op='add').func
add = calculator.getOperator(op="add").func
# Build the eval request for 2^(4+5).
request = calculator.evaluate_request()
@@ -298,5 +300,5 @@ def main(host):
print("PASS")
if __name__ == '__main__':
if __name__ == "__main__":
main(parse_args().host)