def test_customizations(ansi_io):
bar = ProgressBar(ansi_io, 10, 0)
bar.set_bar_width(10)
bar.set_bar_character("_")
bar.set_empty_bar_character(" ")
bar.set_progress_character("/")
bar.set_format(" %current%/%max% [%bar%] %percent:3s%%")
bar.start()
bar.advance()
output = [" 0/10 [/ ] 0%", " 1/10 [_/ ] 10%"]
expected = "\x0D" + "\x0D".join(output)
assert expected == ansi_io.fetch_error()
def test_format(ansi_io):
output = [
" 0/10 [>---------------------------] 0%",
" 10/10 [============================] 100%",
" 10/10 [============================] 100%",
]
expected = "\x0D" + "\x0D".join(output)
# max in construct, no format
ansi_io.clear_error()
bar = ProgressBar(ansi_io, 10)
bar.start()
bar.advance(10)
bar.finish()
assert expected == ansi_io.fetch_error()
# max in start, no format
ansi_io.clear_error()
bar = ProgressBar(ansi_io)
bar.start(10)
bar.advance(10)
bar.finish()
assert expected == ansi_io.fetch_error()
# max in construct, explicit format before
ansi_io.clear_error()
bar = ProgressBar(ansi_io, 10)
bar.set_format("normal")
bar.start()
bar.advance(10)
bar.finish()
assert expected == ansi_io.fetch_error()
# max in start, explicit format before
ansi_io.clear_error()
bar = ProgressBar(ansi_io)
bar.set_format("normal")
bar.start(10)
bar.advance(10)
bar.finish()
assert expected == ansi_io.fetch_error()
def test_multiline_format(ansi_io):
bar = ProgressBar(ansi_io, 3, 0)
bar.set_format("%bar%\nfoobar")
bar.start()
bar.advance()
bar.clear()
bar.finish()
output = [
"\033[1A>---------------------------\nfoobar",
"\033[1A=========>------------------\nfoobar ",
"\033[1A \n ",
"\033[1A============================\nfoobar ",
]
expected = "\x0D" + "\x0D".join(output)
assert expected == ansi_io.fetch_error()
def test_overwrite_with_shorter_line(ansi_io):
bar = ProgressBar(ansi_io, 50, 0)
bar.set_format(" %current%/%max% [%bar%] %percent:3s%%")
bar.start()
bar.display()
bar.advance()
# Set shorter format
bar.set_format(" %current%/%max% [%bar%]")
bar.advance()
output = [
" 0/50 [>---------------------------] 0%",
" 0/50 [>---------------------------] 0%",
" 1/50 [>---------------------------] 2%",
" 2/50 [=>--------------------------] ",
]
expected = "\x0D" + "\x0D".join(output)
assert expected == ansi_io.fetch_error()
async def go():
io = ConsoleIO()
io.error_line("<info>Sampling...</info>")
progress_bar = ProgressBar(io)
progress_bar.set_format("very_verbose")
current_and_max_iterations_re = re.compile(
r"Iteration:\s+(\d+)\s+/\s+(\d+)")
async with stan.common.HttpstanClient() as client:
operations = []
for payload in payloads:
resp = await client.post(f"/{self.model_name}/fits",
json=payload)
if resp.status == 422:
raise ValueError(str(resp.json()))
elif resp.status != 201:
raise RuntimeError(resp.json()["message"])
assert resp.status == 201
operations.append(resp.json())
# poll to get progress for each chain until all chains finished
current_iterations = {}
while not all(operation["done"] for operation in operations):
for operation in operations:
if operation["done"]:
continue
resp = await client.get(f"/{operation['name']}")
assert resp.status != 404
operation.update(resp.json())
progress_message = operation["metadata"].get(
"progress")
if not progress_message:
continue
iteration, iteration_max = map(
int,
current_and_max_iterations_re.findall(
progress_message).pop(0))
if not progress_bar.get_max_steps(
): # i.e., has not started
progress_bar.start(max=iteration_max * num_chains)
current_iterations[operation["name"]] = iteration
progress_bar.set_progress(
sum(current_iterations.values()))
await asyncio.sleep(0.01)
# Sampling has finished. But we do not call `progress_bar.finish()` right
# now. First we write informational messages to the screen, then we
# redraw the (complete) progress bar. Only after that do we call `finish`.
stan_outputs = []
for operation in operations:
fit_name = operation["result"].get("name")
if fit_name is None: # operation["result"] is an error
assert not str(operation["result"]["code"]).startswith(
"2"), operation
raise RuntimeError(operation["result"]["message"])
resp = await client.get(f"/{fit_name}")
if resp.status != 200:
raise RuntimeError((resp.json())["message"])
stan_outputs.append(resp.content)
# clean up after ourselves when fit is uncacheable (no random seed)
if self.random_seed is None:
resp = await client.delete(f"/{fit_name}")
if resp.status not in {200, 202, 204}:
raise RuntimeError((resp.json())["message"])
stan_outputs = tuple(
stan_outputs) # Fit constructor expects a tuple.
def is_nonempty_logger_message(msg: simdjson.Object):
return msg["topic"] == "logger" and msg["values"][0] != "info:"
def is_iteration_or_elapsed_time_logger_message(
msg: simdjson.Object):
# Assumes `msg` is a message with topic `logger`.
text = msg["values"][0]
return (
text.startswith("info:Iteration:")
or text.startswith("info: Elapsed Time:")
# this detects lines following "Elapsed Time:", part of a multi-line Stan message
or text.startswith("info:" + " " * 15))
parser = simdjson.Parser()
nonstandard_logger_messages = []
for stan_output in stan_outputs:
for line in stan_output.splitlines():
# Do not attempt to parse non-logger messages. Draws could contain nan or inf values.
# simdjson cannot parse lines containing such values.
if b'"logger"' not in line:
continue
msg = parser.parse(line)
if is_nonempty_logger_message(
msg
) and not is_iteration_or_elapsed_time_logger_message(msg):
nonstandard_logger_messages.append(msg.as_dict())
del parser # simdjson.Parser is no longer used at this point.
progress_bar.clear()
io.error("\x08" * progress_bar._last_messages_length
) # move left to start of line
if nonstandard_logger_messages:
io.error_line(
"<comment>Messages received during sampling:</comment>")
for msg in nonstandard_logger_messages:
text = msg["values"][0].replace("info:", " ").replace(
"error:", " ")
if text.strip():
io.error_line(f"{text}")
progress_bar.display() # re-draw the (complete) progress bar
progress_bar.finish()
io.error_line("\n<info>Done.</info>")
fit = stan.fit.Fit(
stan_outputs,
num_chains,
self.param_names,
self.constrained_param_names,
self.dims,
num_warmup,
num_samples,
num_thin,
save_warmup,
)
for entry_point in stan.plugins.get_plugins():
Plugin = entry_point.load()
fit = Plugin().on_post_fit(fit)
return fit