partition stringclasses 3
values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | UMAP.fit_transform | Fit X into an embedded space and return that transformed
output.
Parameters
----------
X : array, shape (n_samples, n_features) or (n_samples, n_samples)
If the metric is 'precomputed' X must be a square distance
matrix. Otherwise it contains a sample per row.
... | umap/umap_.py | def fit_transform(self, X, y=None):
"""Fit X into an embedded space and return that transformed
output.
Parameters
----------
X : array, shape (n_samples, n_features) or (n_samples, n_samples)
If the metric is 'precomputed' X must be a square distance
mat... | def fit_transform(self, X, y=None):
"""Fit X into an embedded space and return that transformed
output.
Parameters
----------
X : array, shape (n_samples, n_features) or (n_samples, n_samples)
If the metric is 'precomputed' X must be a square distance
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train | UMAP.transform | Transform X into the existing embedded space and return that
transformed output.
Parameters
----------
X : array, shape (n_samples, n_features)
New data to be transformed.
Returns
-------
X_new : array, shape (n_samples, n_components)
Emb... | umap/umap_.py | def transform(self, X):
"""Transform X into the existing embedded space and return that
transformed output.
Parameters
----------
X : array, shape (n_samples, n_features)
New data to be transformed.
Returns
-------
X_new : array, shape (n_sam... | def transform(self, X):
"""Transform X into the existing embedded space and return that
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Parameters
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X : array, shape (n_samples, n_features)
New data to be transformed.
Returns
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train | make_sparse_nn_descent | Create a numba accelerated version of nearest neighbor descent
specialised for the given distance metric and metric arguments on sparse
matrix data provided in CSR ind, indptr and data format. Numba
doesn't support higher order functions directly, but we can instead JIT
compile the version of NN-descent... | umap/sparse.py | def make_sparse_nn_descent(sparse_dist, dist_args):
"""Create a numba accelerated version of nearest neighbor descent
specialised for the given distance metric and metric arguments on sparse
matrix data provided in CSR ind, indptr and data format. Numba
doesn't support higher order functions directly, b... | def make_sparse_nn_descent(sparse_dist, dist_args):
"""Create a numba accelerated version of nearest neighbor descent
specialised for the given distance metric and metric arguments on sparse
matrix data provided in CSR ind, indptr and data format. Numba
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train | interface_options | Get an InterfaceOptions for the config. | pysc2/bin/benchmark_observe.py | def interface_options(score=False, raw=False, features=None, rgb=None):
"""Get an InterfaceOptions for the config."""
interface = sc_pb.InterfaceOptions()
interface.score = score
interface.raw = raw
if features:
interface.feature_layer.width = 24
interface.feature_layer.resolution.x = features
int... | def interface_options(score=False, raw=False, features=None, rgb=None):
"""Get an InterfaceOptions for the config."""
interface = sc_pb.InterfaceOptions()
interface.score = score
interface.raw = raw
if features:
interface.feature_layer.width = 24
interface.feature_layer.resolution.x = features
int... | [
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train | DEFINE_point | Registers a flag whose value parses as a point. | pysc2/lib/point_flag.py | def DEFINE_point(name, default, help): # pylint: disable=invalid-name,redefined-builtin
"""Registers a flag whose value parses as a point."""
flags.DEFINE(PointParser(), name, default, help) | def DEFINE_point(name, default, help): # pylint: disable=invalid-name,redefined-builtin
"""Registers a flag whose value parses as a point."""
flags.DEFINE(PointParser(), name, default, help) | [
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train | spatial | Choose the action space for the action proto. | pysc2/lib/actions.py | def spatial(action, action_space):
"""Choose the action space for the action proto."""
if action_space == ActionSpace.FEATURES:
return action.action_feature_layer
elif action_space == ActionSpace.RGB:
return action.action_render
else:
raise ValueError("Unexpected value for action_space: %s" % action... | def spatial(action, action_space):
"""Choose the action space for the action proto."""
if action_space == ActionSpace.FEATURES:
return action.action_feature_layer
elif action_space == ActionSpace.RGB:
return action.action_render
else:
raise ValueError("Unexpected value for action_space: %s" % action... | [
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train | move_camera | Move the camera. | pysc2/lib/actions.py | def move_camera(action, action_space, minimap):
"""Move the camera."""
minimap.assign_to(spatial(action, action_space).camera_move.center_minimap) | def move_camera(action, action_space, minimap):
"""Move the camera."""
minimap.assign_to(spatial(action, action_space).camera_move.center_minimap) | [
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train | select_point | Select a unit at a point. | pysc2/lib/actions.py | def select_point(action, action_space, select_point_act, screen):
"""Select a unit at a point."""
select = spatial(action, action_space).unit_selection_point
screen.assign_to(select.selection_screen_coord)
select.type = select_point_act | def select_point(action, action_space, select_point_act, screen):
"""Select a unit at a point."""
select = spatial(action, action_space).unit_selection_point
screen.assign_to(select.selection_screen_coord)
select.type = select_point_act | [
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train | select_rect | Select units within a rectangle. | pysc2/lib/actions.py | def select_rect(action, action_space, select_add, screen, screen2):
"""Select units within a rectangle."""
select = spatial(action, action_space).unit_selection_rect
out_rect = select.selection_screen_coord.add()
screen_rect = point.Rect(screen, screen2)
screen_rect.tl.assign_to(out_rect.p0)
screen_rect.br.... | def select_rect(action, action_space, select_add, screen, screen2):
"""Select units within a rectangle."""
select = spatial(action, action_space).unit_selection_rect
out_rect = select.selection_screen_coord.add()
screen_rect = point.Rect(screen, screen2)
screen_rect.tl.assign_to(out_rect.p0)
screen_rect.br.... | [
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train | select_idle_worker | Select an idle worker. | pysc2/lib/actions.py | def select_idle_worker(action, action_space, select_worker):
"""Select an idle worker."""
del action_space
action.action_ui.select_idle_worker.type = select_worker | def select_idle_worker(action, action_space, select_worker):
"""Select an idle worker."""
del action_space
action.action_ui.select_idle_worker.type = select_worker | [
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train | select_army | Select the entire army. | pysc2/lib/actions.py | def select_army(action, action_space, select_add):
"""Select the entire army."""
del action_space
action.action_ui.select_army.selection_add = select_add | def select_army(action, action_space, select_add):
"""Select the entire army."""
del action_space
action.action_ui.select_army.selection_add = select_add | [
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train | select_warp_gates | Select all warp gates. | pysc2/lib/actions.py | def select_warp_gates(action, action_space, select_add):
"""Select all warp gates."""
del action_space
action.action_ui.select_warp_gates.selection_add = select_add | def select_warp_gates(action, action_space, select_add):
"""Select all warp gates."""
del action_space
action.action_ui.select_warp_gates.selection_add = select_add | [
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train | select_unit | Select a specific unit from the multi-unit selection. | pysc2/lib/actions.py | def select_unit(action, action_space, select_unit_act, select_unit_id):
"""Select a specific unit from the multi-unit selection."""
del action_space
select = action.action_ui.multi_panel
select.type = select_unit_act
select.unit_index = select_unit_id | def select_unit(action, action_space, select_unit_act, select_unit_id):
"""Select a specific unit from the multi-unit selection."""
del action_space
select = action.action_ui.multi_panel
select.type = select_unit_act
select.unit_index = select_unit_id | [
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train | control_group | Act on a control group, selecting, setting, etc. | pysc2/lib/actions.py | def control_group(action, action_space, control_group_act, control_group_id):
"""Act on a control group, selecting, setting, etc."""
del action_space
select = action.action_ui.control_group
select.action = control_group_act
select.control_group_index = control_group_id | def control_group(action, action_space, control_group_act, control_group_id):
"""Act on a control group, selecting, setting, etc."""
del action_space
select = action.action_ui.control_group
select.action = control_group_act
select.control_group_index = control_group_id | [
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train | unload | Unload a unit from a transport/bunker/nydus/etc. | pysc2/lib/actions.py | def unload(action, action_space, unload_id):
"""Unload a unit from a transport/bunker/nydus/etc."""
del action_space
action.action_ui.cargo_panel.unit_index = unload_id | def unload(action, action_space, unload_id):
"""Unload a unit from a transport/bunker/nydus/etc."""
del action_space
action.action_ui.cargo_panel.unit_index = unload_id | [
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train | build_queue | Cancel a unit in the build queue. | pysc2/lib/actions.py | def build_queue(action, action_space, build_queue_id):
"""Cancel a unit in the build queue."""
del action_space
action.action_ui.production_panel.unit_index = build_queue_id | def build_queue(action, action_space, build_queue_id):
"""Cancel a unit in the build queue."""
del action_space
action.action_ui.production_panel.unit_index = build_queue_id | [
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train | cmd_quick | Do a quick command like 'Stop' or 'Stim'. | pysc2/lib/actions.py | def cmd_quick(action, action_space, ability_id, queued):
"""Do a quick command like 'Stop' or 'Stim'."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued | def cmd_quick(action, action_space, ability_id, queued):
"""Do a quick command like 'Stop' or 'Stim'."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued | [
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train | cmd_screen | Do a command that needs a point on the screen. | pysc2/lib/actions.py | def cmd_screen(action, action_space, ability_id, queued, screen):
"""Do a command that needs a point on the screen."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued
screen.assign_to(action_cmd.target_screen_coord) | def cmd_screen(action, action_space, ability_id, queued, screen):
"""Do a command that needs a point on the screen."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued
screen.assign_to(action_cmd.target_screen_coord) | [
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train | cmd_minimap | Do a command that needs a point on the minimap. | pysc2/lib/actions.py | def cmd_minimap(action, action_space, ability_id, queued, minimap):
"""Do a command that needs a point on the minimap."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued
minimap.assign_to(action_cmd.target_minimap_coord) | def cmd_minimap(action, action_space, ability_id, queued, minimap):
"""Do a command that needs a point on the minimap."""
action_cmd = spatial(action, action_space).unit_command
action_cmd.ability_id = ability_id
action_cmd.queue_command = queued
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train | autocast | Toggle autocast. | pysc2/lib/actions.py | def autocast(action, action_space, ability_id):
"""Toggle autocast."""
del action_space
action.action_ui.toggle_autocast.ability_id = ability_id | def autocast(action, action_space, ability_id):
"""Toggle autocast."""
del action_space
action.action_ui.toggle_autocast.ability_id = ability_id | [
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train | ArgumentType.enum | Create an ArgumentType where you choose one of a set of known values. | pysc2/lib/actions.py | def enum(cls, options, values):
"""Create an ArgumentType where you choose one of a set of known values."""
names, real = zip(*options)
del names # unused
def factory(i, name):
return cls(i, name, (len(real),), lambda a: real[a[0]], values)
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"""Create an ArgumentType where you choose one of a set of known values."""
names, real = zip(*options)
del names # unused
def factory(i, name):
return cls(i, name, (len(real),), lambda a: real[a[0]], values)
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train | ArgumentType.scalar | Create an ArgumentType with a single scalar in range(value). | pysc2/lib/actions.py | def scalar(cls, value):
"""Create an ArgumentType with a single scalar in range(value)."""
return lambda i, name: cls(i, name, (value,), lambda a: a[0], None) | def scalar(cls, value):
"""Create an ArgumentType with a single scalar in range(value)."""
return lambda i, name: cls(i, name, (value,), lambda a: a[0], None) | [
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train | ArgumentType.point | Create an ArgumentType that is represented by a point.Point. | pysc2/lib/actions.py | def point(cls): # No range because it's unknown at this time.
"""Create an ArgumentType that is represented by a point.Point."""
def factory(i, name):
return cls(i, name, (0, 0), lambda a: point.Point(*a).floor(), None)
return factory | def point(cls): # No range because it's unknown at this time.
"""Create an ArgumentType that is represented by a point.Point."""
def factory(i, name):
return cls(i, name, (0, 0), lambda a: point.Point(*a).floor(), None)
return factory | [
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train | Arguments.types | Create an Arguments of the possible Types. | pysc2/lib/actions.py | def types(cls, **kwargs):
"""Create an Arguments of the possible Types."""
named = {name: factory(Arguments._fields.index(name), name)
for name, factory in six.iteritems(kwargs)}
return cls(**named) | def types(cls, **kwargs):
"""Create an Arguments of the possible Types."""
named = {name: factory(Arguments._fields.index(name), name)
for name, factory in six.iteritems(kwargs)}
return cls(**named) | [
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train | Function.ui_func | Define a function representing a ui action. | pysc2/lib/actions.py | def ui_func(cls, id_, name, function_type, avail_fn=always):
"""Define a function representing a ui action."""
return cls(id_, name, 0, 0, function_type, FUNCTION_TYPES[function_type],
avail_fn) | def ui_func(cls, id_, name, function_type, avail_fn=always):
"""Define a function representing a ui action."""
return cls(id_, name, 0, 0, function_type, FUNCTION_TYPES[function_type],
avail_fn) | [
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train | Function.ability | Define a function represented as a game ability. | pysc2/lib/actions.py | def ability(cls, id_, name, function_type, ability_id, general_id=0):
"""Define a function represented as a game ability."""
assert function_type in ABILITY_FUNCTIONS
return cls(id_, name, ability_id, general_id, function_type,
FUNCTION_TYPES[function_type], None) | def ability(cls, id_, name, function_type, ability_id, general_id=0):
"""Define a function represented as a game ability."""
assert function_type in ABILITY_FUNCTIONS
return cls(id_, name, ability_id, general_id, function_type,
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train | Function.str | String version. Set space=True to line them all up nicely. | pysc2/lib/actions.py | def str(self, space=False):
"""String version. Set space=True to line them all up nicely."""
return "%s/%s (%s)" % (str(int(self.id)).rjust(space and 4),
self.name.ljust(space and 50),
"; ".join(str(a) for a in self.args)) | def str(self, space=False):
"""String version. Set space=True to line them all up nicely."""
return "%s/%s (%s)" % (str(int(self.id)).rjust(space and 4),
self.name.ljust(space and 50),
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train | FunctionCall.init_with_validation | Return a `FunctionCall` given some validation for the function and args.
Args:
function: A function name or id, to be converted into a function id enum.
arguments: An iterable of function arguments. Arguments that are enum
types can be passed by name. Arguments that only take one value (ie
... | pysc2/lib/actions.py | def init_with_validation(cls, function, arguments):
"""Return a `FunctionCall` given some validation for the function and args.
Args:
function: A function name or id, to be converted into a function id enum.
arguments: An iterable of function arguments. Arguments that are enum
types can b... | def init_with_validation(cls, function, arguments):
"""Return a `FunctionCall` given some validation for the function and args.
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function: A function name or id, to be converted into a function id enum.
arguments: An iterable of function arguments. Arguments that are enum
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train | FunctionCall.all_arguments | Helper function for creating `FunctionCall`s with `Arguments`.
Args:
function: The value to store for the action function.
arguments: The values to store for the arguments of the action. Can either
be an `Arguments` object, a `dict`, or an iterable. If a `dict` or an
iterable is provide... | pysc2/lib/actions.py | def all_arguments(cls, function, arguments):
"""Helper function for creating `FunctionCall`s with `Arguments`.
Args:
function: The value to store for the action function.
arguments: The values to store for the arguments of the action. Can either
be an `Arguments` object, a `dict`, or an ite... | def all_arguments(cls, function, arguments):
"""Helper function for creating `FunctionCall`s with `Arguments`.
Args:
function: The value to store for the action function.
arguments: The values to store for the arguments of the action. Can either
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train | main | Print the valid actions. | pysc2/bin/valid_actions.py | def main(unused_argv):
"""Print the valid actions."""
feats = features.Features(
# Actually irrelevant whether it's feature or rgb size.
features.AgentInterfaceFormat(
feature_dimensions=features.Dimensions(
screen=FLAGS.screen_size,
minimap=FLAGS.minimap_size)))
... | def main(unused_argv):
"""Print the valid actions."""
feats = features.Features(
# Actually irrelevant whether it's feature or rgb size.
features.AgentInterfaceFormat(
feature_dimensions=features.Dimensions(
screen=FLAGS.screen_size,
minimap=FLAGS.minimap_size)))
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train | pick_unused_ports | Reserves and returns a list of `num_ports` unused ports. | pysc2/lib/portspicker.py | def pick_unused_ports(num_ports, retry_interval_secs=3, retry_attempts=5):
"""Reserves and returns a list of `num_ports` unused ports."""
ports = set()
for _ in range(retry_attempts):
ports.update(
portpicker.pick_unused_port() for _ in range(num_ports - len(ports)))
ports.discard(None) # portpic... | def pick_unused_ports(num_ports, retry_interval_secs=3, retry_attempts=5):
"""Reserves and returns a list of `num_ports` unused ports."""
ports = set()
for _ in range(retry_attempts):
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train | pick_contiguous_unused_ports | Reserves and returns a list of `num_ports` contiguous unused ports. | pysc2/lib/portspicker.py | def pick_contiguous_unused_ports(
num_ports,
retry_interval_secs=3,
retry_attempts=5):
"""Reserves and returns a list of `num_ports` contiguous unused ports."""
for _ in range(retry_attempts):
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retry_attempts=5):
"""Reserves and returns a list of `num_ports` contiguous unused ports."""
for _ in range(retry_attempts):
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train | run_thread | Run one thread worth of the environment with agents. | pysc2/bin/agent.py | def run_thread(agent_classes, players, map_name, visualize):
"""Run one thread worth of the environment with agents."""
with sc2_env.SC2Env(
map_name=map_name,
players=players,
agent_interface_format=sc2_env.parse_agent_interface_format(
feature_screen=FLAGS.feature_screen_size,
... | def run_thread(agent_classes, players, map_name, visualize):
"""Run one thread worth of the environment with agents."""
with sc2_env.SC2Env(
map_name=map_name,
players=players,
agent_interface_format=sc2_env.parse_agent_interface_format(
feature_screen=FLAGS.feature_screen_size,
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train | main | Run an agent. | pysc2/bin/agent.py | def main(unused_argv):
"""Run an agent."""
stopwatch.sw.enabled = FLAGS.profile or FLAGS.trace
stopwatch.sw.trace = FLAGS.trace
map_inst = maps.get(FLAGS.map)
agent_classes = []
players = []
agent_module, agent_name = FLAGS.agent.rsplit(".", 1)
agent_cls = getattr(importlib.import_module(agent_module... | def main(unused_argv):
"""Run an agent."""
stopwatch.sw.enabled = FLAGS.profile or FLAGS.trace
stopwatch.sw.trace = FLAGS.trace
map_inst = maps.get(FLAGS.map)
agent_classes = []
players = []
agent_module, agent_name = FLAGS.agent.rsplit(".", 1)
agent_cls = getattr(importlib.import_module(agent_module... | [
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train | check_error | Raise if the result has an error, otherwise return the result. | pysc2/lib/remote_controller.py | def check_error(res, error_enum):
"""Raise if the result has an error, otherwise return the result."""
if res.HasField("error"):
enum_name = error_enum.DESCRIPTOR.full_name
error_name = error_enum.Name(res.error)
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train | decorate_check_error | Decorator to call `check_error` on the return value. | pysc2/lib/remote_controller.py | def decorate_check_error(error_enum):
"""Decorator to call `check_error` on the return value."""
def decorator(func):
@functools.wraps(func)
def _check_error(*args, **kwargs):
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return _check_error
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"""Decorator to call `check_error` on the return value."""
def decorator(func):
@functools.wraps(func)
def _check_error(*args, **kwargs):
return check_error(func(*args, **kwargs), error_enum)
return _check_error
return decorator | [
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train | skip_status | Decorator to skip this call if we're in one of the skipped states. | pysc2/lib/remote_controller.py | def skip_status(*skipped):
"""Decorator to skip this call if we're in one of the skipped states."""
def decorator(func):
@functools.wraps(func)
def _skip_status(self, *args, **kwargs):
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return func(self, *args, **kwargs)
return _skip_status
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"""Decorator to skip this call if we're in one of the skipped states."""
def decorator(func):
@functools.wraps(func)
def _skip_status(self, *args, **kwargs):
if self.status not in skipped:
return func(self, *args, **kwargs)
return _skip_status
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train | valid_status | Decorator to assert that we're in a valid state. | pysc2/lib/remote_controller.py | def valid_status(*valid):
"""Decorator to assert that we're in a valid state."""
def decorator(func):
@functools.wraps(func)
def _valid_status(self, *args, **kwargs):
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"""Decorator to assert that we're in a valid state."""
def decorator(func):
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def _valid_status(self, *args, **kwargs):
if self.status not in valid:
raise protocol.ProtocolError(
"`%s` called while in state: %s, valid: (%s)" % (
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train | catch_game_end | Decorator to handle 'Game has already ended' exceptions. | pysc2/lib/remote_controller.py | def catch_game_end(func):
"""Decorator to handle 'Game has already ended' exceptions."""
@functools.wraps(func)
def _catch_game_end(self, *args, **kwargs):
"""Decorator to handle 'Game has already ended' exceptions."""
prev_status = self.status
try:
return func(self, *args, **kwargs)
except ... | def catch_game_end(func):
"""Decorator to handle 'Game has already ended' exceptions."""
@functools.wraps(func)
def _catch_game_end(self, *args, **kwargs):
"""Decorator to handle 'Game has already ended' exceptions."""
prev_status = self.status
try:
return func(self, *args, **kwargs)
except ... | [
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train | RemoteController._connect | Connect to the websocket, retrying as needed. Returns the socket. | pysc2/lib/remote_controller.py | def _connect(self, host, port, proc, timeout_seconds):
"""Connect to the websocket, retrying as needed. Returns the socket."""
if ":" in host and not host.startswith("["): # Support ipv6 addresses.
host = "[%s]" % host
url = "ws://%s:%s/sc2api" % (host, port)
was_running = False
for i in ran... | def _connect(self, host, port, proc, timeout_seconds):
"""Connect to the websocket, retrying as needed. Returns the socket."""
if ":" in host and not host.startswith("["): # Support ipv6 addresses.
host = "[%s]" % host
url = "ws://%s:%s/sc2api" % (host, port)
was_running = False
for i in ran... | [
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train | RemoteController.save_map | Save a map into temp dir so create game can access it in multiplayer. | pysc2/lib/remote_controller.py | def save_map(self, map_path, map_data):
"""Save a map into temp dir so create game can access it in multiplayer."""
return self._client.send(save_map=sc_pb.RequestSaveMap(
map_path=map_path, map_data=map_data)) | def save_map(self, map_path, map_data):
"""Save a map into temp dir so create game can access it in multiplayer."""
return self._client.send(save_map=sc_pb.RequestSaveMap(
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train | RemoteController.data_raw | Get the raw static data for the current game. Prefer `data` instead. | pysc2/lib/remote_controller.py | def data_raw(self):
"""Get the raw static data for the current game. Prefer `data` instead."""
return self._client.send(data=sc_pb.RequestData(
ability_id=True, unit_type_id=True)) | def data_raw(self):
"""Get the raw static data for the current game. Prefer `data` instead."""
return self._client.send(data=sc_pb.RequestData(
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train | RemoteController.step | Step the engine forward by one (or more) step. | pysc2/lib/remote_controller.py | def step(self, count=1):
"""Step the engine forward by one (or more) step."""
return self._client.send(step=sc_pb.RequestStep(count=count)) | def step(self, count=1):
"""Step the engine forward by one (or more) step."""
return self._client.send(step=sc_pb.RequestStep(count=count)) | [
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train | RemoteController.actions | Send a `sc_pb.RequestAction`, which may include multiple actions. | pysc2/lib/remote_controller.py | def actions(self, req_action):
"""Send a `sc_pb.RequestAction`, which may include multiple actions."""
if FLAGS.sc2_log_actions:
for action in req_action.actions:
sys.stderr.write(str(action))
sys.stderr.flush()
return self._client.send(action=req_action) | def actions(self, req_action):
"""Send a `sc_pb.RequestAction`, which may include multiple actions."""
if FLAGS.sc2_log_actions:
for action in req_action.actions:
sys.stderr.write(str(action))
sys.stderr.flush()
return self._client.send(action=req_action) | [
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train | RemoteController.act | Send a single action. This is a shortcut for `actions`. | pysc2/lib/remote_controller.py | def act(self, action):
"""Send a single action. This is a shortcut for `actions`."""
if action and action.ListFields(): # Skip no-ops.
return self.actions(sc_pb.RequestAction(actions=[action])) | def act(self, action):
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if action and action.ListFields(): # Skip no-ops.
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train | RemoteController.chat | Send chat message as a broadcast. | pysc2/lib/remote_controller.py | def chat(self, message):
"""Send chat message as a broadcast."""
if message:
action_chat = sc_pb.ActionChat(
channel=sc_pb.ActionChat.Broadcast, message=message)
action = sc_pb.Action(action_chat=action_chat)
return self.act(action) | def chat(self, message):
"""Send chat message as a broadcast."""
if message:
action_chat = sc_pb.ActionChat(
channel=sc_pb.ActionChat.Broadcast, message=message)
action = sc_pb.Action(action_chat=action_chat)
return self.act(action) | [
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train | RemoteController.save_replay | Save a replay, returning the data. | pysc2/lib/remote_controller.py | def save_replay(self):
"""Save a replay, returning the data."""
res = self._client.send(save_replay=sc_pb.RequestSaveReplay())
return res.data | def save_replay(self):
"""Save a replay, returning the data."""
res = self._client.send(save_replay=sc_pb.RequestSaveReplay())
return res.data | [
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train | RemoteController.debug | Run a debug command. | pysc2/lib/remote_controller.py | def debug(self, debug_commands):
"""Run a debug command."""
if isinstance(debug_commands, sc_debug.DebugCommand):
debug_commands = [debug_commands]
return self._client.send(debug=sc_pb.RequestDebug(debug=debug_commands)) | def debug(self, debug_commands):
"""Run a debug command."""
if isinstance(debug_commands, sc_debug.DebugCommand):
debug_commands = [debug_commands]
return self._client.send(debug=sc_pb.RequestDebug(debug=debug_commands)) | [
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train | RemoteController.quit | Shut down the SC2 process. | pysc2/lib/remote_controller.py | def quit(self):
"""Shut down the SC2 process."""
try:
# Don't expect a response.
self._client.write(sc_pb.Request(quit=sc_pb.RequestQuit()))
except protocol.ConnectionError:
pass # It's likely already (shutting) down, so continue as if it worked.
finally:
self.close() | def quit(self):
"""Shut down the SC2 process."""
try:
# Don't expect a response.
self._client.write(sc_pb.Request(quit=sc_pb.RequestQuit()))
except protocol.ConnectionError:
pass # It's likely already (shutting) down, so continue as if it worked.
finally:
self.close() | [
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train | run_loop | A run loop to have agents and an environment interact. | pysc2/env/run_loop.py | def run_loop(agents, env, max_frames=0, max_episodes=0):
"""A run loop to have agents and an environment interact."""
total_frames = 0
total_episodes = 0
start_time = time.time()
observation_spec = env.observation_spec()
action_spec = env.action_spec()
for agent, obs_spec, act_spec in zip(agents, observa... | def run_loop(agents, env, max_frames=0, max_episodes=0):
"""A run loop to have agents and an environment interact."""
total_frames = 0
total_episodes = 0
start_time = time.time()
observation_spec = env.observation_spec()
action_spec = env.action_spec()
for agent, obs_spec, act_spec in zip(agents, observa... | [
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train | RunConfig.map_data | Return the map data for a map by name or path. | pysc2/run_configs/lib.py | def map_data(self, map_name):
"""Return the map data for a map by name or path."""
with gfile.Open(os.path.join(self.data_dir, "Maps", map_name), "rb") as f:
return f.read() | def map_data(self, map_name):
"""Return the map data for a map by name or path."""
with gfile.Open(os.path.join(self.data_dir, "Maps", map_name), "rb") as f:
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train | RunConfig.replay_data | Return the replay data given a path to the replay. | pysc2/run_configs/lib.py | def replay_data(self, replay_path):
"""Return the replay data given a path to the replay."""
with gfile.Open(self.abs_replay_path(replay_path), "rb") as f:
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"""Return the replay data given a path to the replay."""
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train | RunConfig.replay_paths | A generator yielding the full path to the replays under `replay_dir`. | pysc2/run_configs/lib.py | def replay_paths(self, replay_dir):
"""A generator yielding the full path to the replays under `replay_dir`."""
replay_dir = self.abs_replay_path(replay_dir)
if replay_dir.lower().endswith(".sc2replay"):
yield replay_dir
return
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if f.lower().endswith(... | def replay_paths(self, replay_dir):
"""A generator yielding the full path to the replays under `replay_dir`."""
replay_dir = self.abs_replay_path(replay_dir)
if replay_dir.lower().endswith(".sc2replay"):
yield replay_dir
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train | RunConfig.save_replay | Save a replay to a directory, returning the path to the replay.
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replay_data: The result of controller.save_replay(), ie the binary data.
replay_dir: Where to save the replay. This can be absolute or relative.
prefix: Optional prefix for the replay filename.
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"""Save a replay to a directory, returning the path to the replay.
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replay_data: The result of controller.save_replay(), ie the binary data.
replay_dir: Where to save the replay. This can be absolute or relative.
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replay_data: The result of controller.save_replay(), ie the binary data.
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train | RunConfig.all_subclasses | An iterator over all subclasses of `cls`. | pysc2/run_configs/lib.py | def all_subclasses(cls):
"""An iterator over all subclasses of `cls`."""
for s in cls.__subclasses__():
yield s
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"""An iterator over all subclasses of `cls`."""
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yield s
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train | NamedNumpyArray._indices | Turn all string indices into int indices, preserving ellipsis. | pysc2/lib/named_array.py | def _indices(self, indices):
"""Turn all string indices into int indices, preserving ellipsis."""
if isinstance(indices, tuple):
out = []
dim = 0
for i, index in enumerate(indices):
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train | NamedNumpyArray._get_index | Turn a string into a real index, otherwise return the index. | pysc2/lib/named_array.py | def _get_index(self, dim, index):
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train | Point.assign_to | Assign `x` and `y` to an object that has properties `x` and `y`. | pysc2/lib/point.py | def assign_to(self, obj):
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train | Point.dist | Distance to some other point. | pysc2/lib/point.py | def dist(self, other):
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dy = self.y - other.y
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train | Point.dist_sq | Distance squared to some other point. | pysc2/lib/point.py | def dist_sq(self, other):
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train | Point.round | Round `x` and `y` to integers. | pysc2/lib/point.py | def round(self):
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return Point(int(round(self.x)), int(round(self.y))) | def round(self):
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train | Point.floor | Round `x` and `y` down to integers. | pysc2/lib/point.py | def floor(self):
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return Point(int(math.floor(self.x)), int(math.floor(self.y))) | def floor(self):
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train | Point.ceil | Round `x` and `y` up to integers. | pysc2/lib/point.py | def ceil(self):
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return Point(int(math.ceil(self.x)), int(math.ceil(self.y))) | def ceil(self):
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train | Point.bound | Bound this point within the rect defined by (`p1`, `p2`). | pysc2/lib/point.py | def bound(self, p1, p2=None):
"""Bound this point within the rect defined by (`p1`, `p2`)."""
r = Rect(p1, p2)
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"""Bound this point within the rect defined by (`p1`, `p2`)."""
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train | Rect.contains_point | Is the point inside this rect? | pysc2/lib/point.py | def contains_point(self, pt):
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train | Rect.contains_circle | Is the circle completely inside this rect? | pysc2/lib/point.py | def contains_circle(self, pt, radius):
"""Is the circle completely inside this rect?"""
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train | Rect.intersects_circle | Does the circle intersect with this rect? | pysc2/lib/point.py | def intersects_circle(self, pt, radius):
"""Does the circle intersect with this rect?"""
# How this works: http://stackoverflow.com/a/402010
rect_corner = self.size / 2 # relative to the rect center
circle_center = (pt - self.center).abs() # relative to the rect center
# Is the circle far from th... | def intersects_circle(self, pt, radius):
"""Does the circle intersect with this rect?"""
# How this works: http://stackoverflow.com/a/402010
rect_corner = self.size / 2 # relative to the rect center
circle_center = (pt - self.center).abs() # relative to the rect center
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train | _read_execute_info | Read the ExecuteInfo.txt file and return the base directory. | pysc2/run_configs/platforms.py | def _read_execute_info(path, parents):
"""Read the ExecuteInfo.txt file and return the base directory."""
path = os.path.join(path, "StarCraft II/ExecuteInfo.txt")
if os.path.exists(path):
with open(path, "rb") as f: # Binary because the game appends a '\0' :(.
for line in f:
parts = [p.strip()... | def _read_execute_info(path, parents):
"""Read the ExecuteInfo.txt file and return the base directory."""
path = os.path.join(path, "StarCraft II/ExecuteInfo.txt")
if os.path.exists(path):
with open(path, "rb") as f: # Binary because the game appends a '\0' :(.
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train | LocalBase.start | Launch the game. | pysc2/run_configs/platforms.py | def start(self, version=None, want_rgb=True, **kwargs):
"""Launch the game."""
del want_rgb # Unused
if not os.path.isdir(self.data_dir):
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train | VsAgent.create_game | Create a game for the agents to join.
Args:
map_name: The map to use. | pysc2/env/host_remote_agent.py | def create_game(self, map_name):
"""Create a game for the agents to join.
Args:
map_name: The map to use.
"""
map_inst = maps.get(map_name)
map_data = map_inst.data(self._run_config)
if map_name not in self._saved_maps:
for controller in self._controllers:
controller.save_ma... | def create_game(self, map_name):
"""Create a game for the agents to join.
Args:
map_name: The map to use.
"""
map_inst = maps.get(map_name)
map_data = map_inst.data(self._run_config)
if map_name not in self._saved_maps:
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train | VsAgent.close | Shutdown and free all resources. | pysc2/env/host_remote_agent.py | def close(self):
"""Shutdown and free all resources."""
for controller in self._controllers:
controller.quit()
self._controllers = []
for process in self._processes:
process.close()
self._processes = []
portspicker.return_ports(self._lan_ports)
self._lan_ports = [] | def close(self):
"""Shutdown and free all resources."""
for controller in self._controllers:
controller.quit()
self._controllers = []
for process in self._processes:
process.close()
self._processes = []
portspicker.return_ports(self._lan_ports)
self._lan_ports = [] | [
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train | VsBot.create_game | Create a game, one remote agent vs the specified bot.
Args:
map_name: The map to use.
bot_difficulty: The difficulty of the bot to play against.
bot_race: The race for the bot.
bot_first: Whether the bot should be player 1 (else is player 2). | pysc2/env/host_remote_agent.py | def create_game(
self,
map_name,
bot_difficulty=sc_pb.VeryEasy,
bot_race=sc_common.Random,
bot_first=False):
"""Create a game, one remote agent vs the specified bot.
Args:
map_name: The map to use.
bot_difficulty: The difficulty of the bot to play against.
bot_ra... | def create_game(
self,
map_name,
bot_difficulty=sc_pb.VeryEasy,
bot_race=sc_common.Random,
bot_first=False):
"""Create a game, one remote agent vs the specified bot.
Args:
map_name: The map to use.
bot_difficulty: The difficulty of the bot to play against.
bot_ra... | [
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train | VsBot.close | Shutdown and free all resources. | pysc2/env/host_remote_agent.py | def close(self):
"""Shutdown and free all resources."""
if self._controller is not None:
self._controller.quit()
self._controller = None
if self._process is not None:
self._process.close()
self._process = None | def close(self):
"""Shutdown and free all resources."""
if self._controller is not None:
self._controller.quit()
self._controller = None
if self._process is not None:
self._process.close()
self._process = None | [
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train | agent | Run the agent, connecting to a (remote) host started independently. | pysc2/bin/play_vs_agent.py | def agent():
"""Run the agent, connecting to a (remote) host started independently."""
agent_module, agent_name = FLAGS.agent.rsplit(".", 1)
agent_cls = getattr(importlib.import_module(agent_module), agent_name)
logging.info("Starting agent:")
with lan_sc2_env.LanSC2Env(
host=FLAGS.host,
config_p... | def agent():
"""Run the agent, connecting to a (remote) host started independently."""
agent_module, agent_name = FLAGS.agent.rsplit(".", 1)
agent_cls = getattr(importlib.import_module(agent_module), agent_name)
logging.info("Starting agent:")
with lan_sc2_env.LanSC2Env(
host=FLAGS.host,
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train | human | Run a host which expects one player to connect remotely. | pysc2/bin/play_vs_agent.py | def human():
"""Run a host which expects one player to connect remotely."""
run_config = run_configs.get()
map_inst = maps.get(FLAGS.map)
if not FLAGS.rgb_screen_size or not FLAGS.rgb_minimap_size:
logging.info("Use --rgb_screen_size and --rgb_minimap_size if you want rgb "
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"""Run a host which expects one player to connect remotely."""
run_config = run_configs.get()
map_inst = maps.get(FLAGS.map)
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train | RemoteSC2Env._connect_remote | Make sure this stays synced with bin/agent_remote.py. | pysc2/env/remote_sc2_env.py | def _connect_remote(self, host, host_port, lan_ports, race, name, map_inst,
save_map, interface):
"""Make sure this stays synced with bin/agent_remote.py."""
# Connect!
logging.info("Connecting...")
self._controllers = [remote_controller.RemoteController(host, host_port)]
loggi... | def _connect_remote(self, host, host_port, lan_ports, race, name, map_inst,
save_map, interface):
"""Make sure this stays synced with bin/agent_remote.py."""
# Connect!
logging.info("Connecting...")
self._controllers = [remote_controller.RemoteController(host, host_port)]
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train | get | Get the config chosen by the flags. | pysc2/run_configs/__init__.py | def get():
"""Get the config chosen by the flags."""
configs = {c.name(): c
for c in lib.RunConfig.all_subclasses() if c.priority()}
if not configs:
raise sc_process.SC2LaunchError("No valid run_configs found.")
if FLAGS.sc2_run_config is None: # Find the highest priority as default.
ret... | def get():
"""Get the config chosen by the flags."""
configs = {c.name(): c
for c in lib.RunConfig.all_subclasses() if c.priority()}
if not configs:
raise sc_process.SC2LaunchError("No valid run_configs found.")
if FLAGS.sc2_run_config is None: # Find the highest priority as default.
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train | SC2Env.reset | Start a new episode. | pysc2/env/sc2_env.py | def reset(self):
"""Start a new episode."""
self._episode_steps = 0
if self._episode_count:
# No need to restart for the first episode.
self._restart()
self._episode_count += 1
logging.info("Starting episode: %s", self._episode_count)
self._metrics.increment_episode()
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"""Start a new episode."""
self._episode_steps = 0
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self._episode_count += 1
logging.info("Starting episode: %s", self._episode_count)
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train | SC2Env.step | Apply actions, step the world forward, and return observations.
Args:
actions: A list of actions meeting the action spec, one per agent.
step_mul: If specified, use this rather than the environment's default.
Returns:
A tuple of TimeStep namedtuples, one per agent. | pysc2/env/sc2_env.py | def step(self, actions, step_mul=None):
"""Apply actions, step the world forward, and return observations.
Args:
actions: A list of actions meeting the action spec, one per agent.
step_mul: If specified, use this rather than the environment's default.
Returns:
A tuple of TimeStep namedtu... | def step(self, actions, step_mul=None):
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actions: A list of actions meeting the action spec, one per agent.
step_mul: If specified, use this rather than the environment's default.
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train | SC2Env.send_chat_messages | Useful for logging messages into the replay. | pysc2/env/sc2_env.py | def send_chat_messages(self, messages):
"""Useful for logging messages into the replay."""
self._parallel.run(
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"""Useful for logging messages into the replay."""
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train | valid_replay | Make sure the replay isn't corrupt, and is worth looking at. | pysc2/bin/replay_actions.py | def valid_replay(info, ping):
"""Make sure the replay isn't corrupt, and is worth looking at."""
if (info.HasField("error") or
info.base_build != ping.base_build or # different game version
info.game_duration_loops < 1000 or
len(info.player_info) != 2):
# Probably corrupt, or just not interes... | def valid_replay(info, ping):
"""Make sure the replay isn't corrupt, and is worth looking at."""
if (info.HasField("error") or
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/bin/replay_actions.py#L150-L163 | [
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train | stats_printer | A thread that consumes stats_queue and prints them every 10 seconds. | pysc2/bin/replay_actions.py | def stats_printer(stats_queue):
"""A thread that consumes stats_queue and prints them every 10 seconds."""
proc_stats = [ProcessStats(i) for i in range(FLAGS.parallel)]
print_time = start_time = time.time()
width = 107
running = True
while running:
print_time += 10
while time.time() < print_time:
... | def stats_printer(stats_queue):
"""A thread that consumes stats_queue and prints them every 10 seconds."""
proc_stats = [ProcessStats(i) for i in range(FLAGS.parallel)]
print_time = start_time = time.time()
width = 107
running = True
while running:
print_time += 10
while time.time() < print_time:
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train | main | Dump stats about all the actions that are in use in a set of replays. | pysc2/bin/replay_actions.py | def main(unused_argv):
"""Dump stats about all the actions that are in use in a set of replays."""
run_config = run_configs.get()
if not gfile.Exists(FLAGS.replays):
sys.exit("{} doesn't exist.".format(FLAGS.replays))
stats_queue = multiprocessing.Queue()
stats_thread = threading.Thread(target=stats_pri... | def main(unused_argv):
"""Dump stats about all the actions that are in use in a set of replays."""
run_config = run_configs.get()
if not gfile.Exists(FLAGS.replays):
sys.exit("{} doesn't exist.".format(FLAGS.replays))
stats_queue = multiprocessing.Queue()
stats_thread = threading.Thread(target=stats_pri... | [
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train | ReplayStats.merge | Merge another ReplayStats into this one. | pysc2/bin/replay_actions.py | def merge(self, other):
"""Merge another ReplayStats into this one."""
def merge_dict(a, b):
for k, v in six.iteritems(b):
a[k] += v
self.replays += other.replays
self.steps += other.steps
self.camera_move += other.camera_move
self.select_pt += other.select_pt
self.select_rect... | def merge(self, other):
"""Merge another ReplayStats into this one."""
def merge_dict(a, b):
for k, v in six.iteritems(b):
a[k] += v
self.replays += other.replays
self.steps += other.steps
self.camera_move += other.camera_move
self.select_pt += other.select_pt
self.select_rect... | [
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train | ReplayProcessor.process_replay | Process a single replay, updating the stats. | pysc2/bin/replay_actions.py | def process_replay(self, controller, replay_data, map_data, player_id):
"""Process a single replay, updating the stats."""
self._update_stage("start_replay")
controller.start_replay(sc_pb.RequestStartReplay(
replay_data=replay_data,
map_data=map_data,
options=interface,
obser... | def process_replay(self, controller, replay_data, map_data, player_id):
"""Process a single replay, updating the stats."""
self._update_stage("start_replay")
controller.start_replay(sc_pb.RequestStartReplay(
replay_data=replay_data,
map_data=map_data,
options=interface,
obser... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/bin/replay_actions.py#L240-L292 | [
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train | tcp_server | Start up the tcp server, send the settings. | pysc2/env/lan_sc2_env.py | def tcp_server(tcp_addr, settings):
"""Start up the tcp server, send the settings."""
family = socket.AF_INET6 if ":" in tcp_addr.ip else socket.AF_INET
sock = socket.socket(family, socket.SOCK_STREAM, socket.IPPROTO_TCP)
sock.bind(tcp_addr)
sock.listen(1)
logging.info("Waiting for connection on %s", tcp_ad... | def tcp_server(tcp_addr, settings):
"""Start up the tcp server, send the settings."""
family = socket.AF_INET6 if ":" in tcp_addr.ip else socket.AF_INET
sock = socket.socket(family, socket.SOCK_STREAM, socket.IPPROTO_TCP)
sock.bind(tcp_addr)
sock.listen(1)
logging.info("Waiting for connection on %s", tcp_ad... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/env/lan_sc2_env.py#L65-L80 | [
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train | tcp_client | Connect to the tcp server, and return the settings. | pysc2/env/lan_sc2_env.py | def tcp_client(tcp_addr):
"""Connect to the tcp server, and return the settings."""
family = socket.AF_INET6 if ":" in tcp_addr.ip else socket.AF_INET
sock = socket.socket(family, socket.SOCK_STREAM, socket.IPPROTO_TCP)
for i in range(300):
logging.info("Connecting to: %s, attempt %d", tcp_addr, i)
try:... | def tcp_client(tcp_addr):
"""Connect to the tcp server, and return the settings."""
family = socket.AF_INET6 if ":" in tcp_addr.ip else socket.AF_INET
sock = socket.socket(family, socket.SOCK_STREAM, socket.IPPROTO_TCP)
for i in range(300):
logging.info("Connecting to: %s, attempt %d", tcp_addr, i)
try:... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/env/lan_sc2_env.py#L83-L106 | [
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train | read_tcp_size | Read `size` number of bytes from `conn`, retrying as needed. | pysc2/env/lan_sc2_env.py | def read_tcp_size(conn, size):
"""Read `size` number of bytes from `conn`, retrying as needed."""
chunks = []
bytes_read = 0
while bytes_read < size:
chunk = conn.recv(size - bytes_read)
if not chunk:
if bytes_read > 0:
logging.warning("Incomplete read: %s of %s.", bytes_read, size)
... | def read_tcp_size(conn, size):
"""Read `size` number of bytes from `conn`, retrying as needed."""
chunks = []
bytes_read = 0
while bytes_read < size:
chunk = conn.recv(size - bytes_read)
if not chunk:
if bytes_read > 0:
logging.warning("Incomplete read: %s of %s.", bytes_read, size)
... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/env/lan_sc2_env.py#L142-L154 | [
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train | forward_ports | Forwards ports such that multiplayer works between machines.
Args:
remote_host: Where to ssh to.
local_host: "127.0.0.1" or "::1".
local_listen_ports: Which ports to listen on locally to forward remotely.
remote_listen_ports: Which ports to listen on remotely to forward locally.
Returns:
The s... | pysc2/env/lan_sc2_env.py | def forward_ports(remote_host, local_host, local_listen_ports,
remote_listen_ports):
"""Forwards ports such that multiplayer works between machines.
Args:
remote_host: Where to ssh to.
local_host: "127.0.0.1" or "::1".
local_listen_ports: Which ports to listen on locally to forward re... | def forward_ports(remote_host, local_host, local_listen_ports,
remote_listen_ports):
"""Forwards ports such that multiplayer works between machines.
Args:
remote_host: Where to ssh to.
local_host: "127.0.0.1" or "::1".
local_listen_ports: Which ports to listen on locally to forward re... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/env/lan_sc2_env.py#L163-L196 | [
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train | LanSC2Env._launch_remote | Make sure this stays synced with bin/play_vs_agent.py. | pysc2/env/lan_sc2_env.py | def _launch_remote(self, host, config_port, race, name, interface):
"""Make sure this stays synced with bin/play_vs_agent.py."""
self._tcp_conn, settings = tcp_client(Addr(host, config_port))
self._map_name = settings["map_name"]
if settings["remote"]:
self._udp_sock = udp_server(
Addr... | def _launch_remote(self, host, config_port, race, name, interface):
"""Make sure this stays synced with bin/play_vs_agent.py."""
self._tcp_conn, settings = tcp_client(Addr(host, config_port))
self._map_name = settings["map_name"]
if settings["remote"]:
self._udp_sock = udp_server(
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train | _replay_index | Output information for a directory of replays. | pysc2/bin/replay_info.py | def _replay_index(replay_dir):
"""Output information for a directory of replays."""
run_config = run_configs.get()
replay_dir = run_config.abs_replay_path(replay_dir)
print("Checking: ", replay_dir)
with run_config.start(want_rgb=False) as controller:
print("-" * 60)
print(",".join((
"filenam... | def _replay_index(replay_dir):
"""Output information for a directory of replays."""
run_config = run_configs.get()
replay_dir = run_config.abs_replay_path(replay_dir)
print("Checking: ", replay_dir)
with run_config.start(want_rgb=False) as controller:
print("-" * 60)
print(",".join((
"filenam... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/bin/replay_info.py#L34-L91 | [
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train | _replay_info | Query a replay for information. | pysc2/bin/replay_info.py | def _replay_info(replay_path):
"""Query a replay for information."""
if not replay_path.lower().endswith("sc2replay"):
print("Must be a replay.")
return
run_config = run_configs.get()
with run_config.start(want_rgb=False) as controller:
info = controller.replay_info(run_config.replay_data(replay_pa... | def _replay_info(replay_path):
"""Query a replay for information."""
if not replay_path.lower().endswith("sc2replay"):
print("Must be a replay.")
return
run_config = run_configs.get()
with run_config.start(want_rgb=False) as controller:
info = controller.replay_info(run_config.replay_data(replay_pa... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/bin/replay_info.py#L94-L104 | [
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train | smooth_hue_palette | Takes an array of ints and returns a corresponding colored rgb array. | pysc2/lib/colors.py | def smooth_hue_palette(scale):
"""Takes an array of ints and returns a corresponding colored rgb array."""
# http://en.wikipedia.org/wiki/HSL_and_HSV#From_HSL
# Based on http://stackoverflow.com/a/17382854 , with simplifications and
# optimizations. Assumes S=1, L=0.5, meaning C=1 and m=0.
# 0 stays black, ev... | def smooth_hue_palette(scale):
"""Takes an array of ints and returns a corresponding colored rgb array."""
# http://en.wikipedia.org/wiki/HSL_and_HSV#From_HSL
# Based on http://stackoverflow.com/a/17382854 , with simplifications and
# optimizations. Assumes S=1, L=0.5, meaning C=1 and m=0.
# 0 stays black, ev... | [
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"# 0 stays black, everything else moves into a hue."... | df4cc4b00f07a2242be9ba153d4a7f4ad2017897 |
train | piece_wise_linear | Create a palette that is piece-wise linear given some colors at points. | pysc2/lib/colors.py | def piece_wise_linear(scale, points):
"""Create a palette that is piece-wise linear given some colors at points."""
assert len(points) >= 2
assert points[0][0] == 0
assert points[-1][0] == 1
assert all(i < j for i, j in zip(points[:-1], points[1:]))
out = numpy.zeros((scale, 3))
p1, c1 = points[0]
p2, c... | def piece_wise_linear(scale, points):
"""Create a palette that is piece-wise linear given some colors at points."""
assert len(points) >= 2
assert points[0][0] == 0
assert points[-1][0] == 1
assert all(i < j for i, j in zip(points[:-1], points[1:]))
out = numpy.zeros((scale, 3))
p1, c1 = points[0]
p2, c... | [
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train | unit_type | Returns a palette that maps unit types to rgb colors. | pysc2/lib/colors.py | def unit_type(scale=None):
"""Returns a palette that maps unit types to rgb colors."""
# Can specify a scale to match the api or to accept unknown unit types.
palette_size = scale or max(static_data.UNIT_TYPES) + 1
palette = shuffled_hue(palette_size)
assert len(static_data.UNIT_TYPES) <= len(distinct_colors)... | def unit_type(scale=None):
"""Returns a palette that maps unit types to rgb colors."""
# Can specify a scale to match the api or to accept unknown unit types.
palette_size = scale or max(static_data.UNIT_TYPES) + 1
palette = shuffled_hue(palette_size)
assert len(static_data.UNIT_TYPES) <= len(distinct_colors)... | [
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... | df4cc4b00f07a2242be9ba153d4a7f4ad2017897 |
train | with_lock | Make sure the lock is held while in this function. | pysc2/lib/renderer_human.py | def with_lock(lock):
"""Make sure the lock is held while in this function."""
def decorator(func):
@functools.wraps(func)
def _with_lock(*args, **kwargs):
with lock:
return func(*args, **kwargs)
return _with_lock
return decorator | def with_lock(lock):
"""Make sure the lock is held while in this function."""
def decorator(func):
@functools.wraps(func)
def _with_lock(*args, **kwargs):
with lock:
return func(*args, **kwargs)
return _with_lock
return decorator | [
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"."
] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/lib/renderer_human.py#L60-L68 | [
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train | _get_desktop_size | Get the desktop size. | pysc2/lib/renderer_human.py | def _get_desktop_size():
"""Get the desktop size."""
if platform.system() == "Linux":
try:
xrandr_query = subprocess.check_output(["xrandr", "--query"])
sizes = re.findall(r"\bconnected primary (\d+)x(\d+)", str(xrandr_query))
if sizes[0]:
return point.Point(int(sizes[0][0]), int(sizes... | def _get_desktop_size():
"""Get the desktop size."""
if platform.system() == "Linux":
try:
xrandr_query = subprocess.check_output(["xrandr", "--query"])
sizes = re.findall(r"\bconnected primary (\d+)x(\d+)", str(xrandr_query))
if sizes[0]:
return point.Point(int(sizes[0][0]), int(sizes... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/lib/renderer_human.py#L216-L229 | [
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".... | df4cc4b00f07a2242be9ba153d4a7f4ad2017897 |
train | _Surface.draw_arc | Draw an arc using world coordinates, radius, start and stop angles. | pysc2/lib/renderer_human.py | def draw_arc(self, color, world_loc, world_radius, start_angle, stop_angle,
thickness=1):
"""Draw an arc using world coordinates, radius, start and stop angles."""
center = self.world_to_surf.fwd_pt(world_loc).round()
radius = max(1, int(self.world_to_surf.fwd_dist(world_radius)))
rect = ... | def draw_arc(self, color, world_loc, world_radius, start_angle, stop_angle,
thickness=1):
"""Draw an arc using world coordinates, radius, start and stop angles."""
center = self.world_to_surf.fwd_pt(world_loc).round()
radius = max(1, int(self.world_to_surf.fwd_dist(world_radius)))
rect = ... | [
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"radius",
"start",
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"stop",
"angles",
"."
] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/lib/renderer_human.py#L141-L148 | [
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train | _Surface.draw_circle | Draw a circle using world coordinates and radius. | pysc2/lib/renderer_human.py | def draw_circle(self, color, world_loc, world_radius, thickness=0):
"""Draw a circle using world coordinates and radius."""
if world_radius > 0:
center = self.world_to_surf.fwd_pt(world_loc).round()
radius = max(1, int(self.world_to_surf.fwd_dist(world_radius)))
pygame.draw.circle(self.surf, c... | def draw_circle(self, color, world_loc, world_radius, thickness=0):
"""Draw a circle using world coordinates and radius."""
if world_radius > 0:
center = self.world_to_surf.fwd_pt(world_loc).round()
radius = max(1, int(self.world_to_surf.fwd_dist(world_radius)))
pygame.draw.circle(self.surf, c... | [
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] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/lib/renderer_human.py#L150-L156 | [
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"... | df4cc4b00f07a2242be9ba153d4a7f4ad2017897 |
train | _Surface.draw_rect | Draw a rectangle using world coordinates. | pysc2/lib/renderer_human.py | def draw_rect(self, color, world_rect, thickness=0):
"""Draw a rectangle using world coordinates."""
tl = self.world_to_surf.fwd_pt(world_rect.tl).round()
br = self.world_to_surf.fwd_pt(world_rect.br).round()
rect = pygame.Rect(tl, br - tl)
pygame.draw.rect(self.surf, color, rect, thickness) | def draw_rect(self, color, world_rect, thickness=0):
"""Draw a rectangle using world coordinates."""
tl = self.world_to_surf.fwd_pt(world_rect.tl).round()
br = self.world_to_surf.fwd_pt(world_rect.br).round()
rect = pygame.Rect(tl, br - tl)
pygame.draw.rect(self.surf, color, rect, thickness) | [
"Draw",
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"using",
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"coordinates",
"."
] | deepmind/pysc2 | python | https://github.com/deepmind/pysc2/blob/df4cc4b00f07a2242be9ba153d4a7f4ad2017897/pysc2/lib/renderer_human.py#L158-L163 | [
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"worl... | df4cc4b00f07a2242be9ba153d4a7f4ad2017897 |
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