INSTRUCTION stringlengths 1 8.43k | RESPONSE stringlengths 75 104k |
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Replace weights of models in the pipeline with those provided in the params dictionary. Can be used as a contextmanager in which case models go back to their original weights after the block. | def use_params(self, params, **cfg):
"""Replace weights of models in the pipeline with those provided in the
params dictionary. Can be used as a contextmanager, in which case,
models go back to their original weights after the block.
params (dict): A dictionary of parameters keyed by mo... |
Process texts as a stream and yield Doc objects in order. | def pipe(
self,
texts,
as_tuples=False,
n_threads=-1,
batch_size=1000,
disable=[],
cleanup=False,
component_cfg=None,
):
"""Process texts as a stream, and yield `Doc` objects in order.
texts (iterator): A sequence of texts to process.
... |
Save the current state to a directory. If a model is loaded this will include the model. | def to_disk(self, path, exclude=tuple(), disable=None):
"""Save the current state to a directory. If a model is loaded, this
will include the model.
path (unicode or Path): Path to a directory, which will be created if
it doesn't exist.
exclude (list): Names of components o... |
Loads state from a directory. Modifies the object in place and returns it. If the saved Language object contains a model the model will be loaded. | def from_disk(self, path, exclude=tuple(), disable=None):
"""Loads state from a directory. Modifies the object in place and
returns it. If the saved `Language` object contains a model, the
model will be loaded.
path (unicode or Path): A path to a directory.
exclude (list): Names... |
Serialize the current state to a binary string. | def to_bytes(self, exclude=tuple(), disable=None, **kwargs):
"""Serialize the current state to a binary string.
exclude (list): Names of components or serialization fields to exclude.
RETURNS (bytes): The serialized form of the `Language` object.
DOCS: https://spacy.io/api/language#to_... |
Load state from a binary string. | def from_bytes(self, bytes_data, exclude=tuple(), disable=None, **kwargs):
"""Load state from a binary string.
bytes_data (bytes): The data to load from.
exclude (list): Names of components or serialization fields to exclude.
RETURNS (Language): The `Language` object.
DOCS: htt... |
Restore the pipeline to its state when DisabledPipes was created. | def restore(self):
"""Restore the pipeline to its state when DisabledPipes was created."""
current, self.nlp.pipeline = self.nlp.pipeline, self.original_pipeline
unexpected = [name for name, pipe in current if not self.nlp.has_pipe(name)]
if unexpected:
# Don't change the pip... |
Yields all available rules. | def get_loaded_rules(rules_paths):
"""Yields all available rules.
:type rules_paths: [Path]
:rtype: Iterable[Rule]
"""
for path in rules_paths:
if path.name != '__init__.py':
rule = Rule.from_path(path)
if rule.is_enabled:
yield rule |
Yields all rules import paths. | def get_rules_import_paths():
"""Yields all rules import paths.
:rtype: Iterable[Path]
"""
# Bundled rules:
yield Path(__file__).parent.joinpath('rules')
# Rules defined by user:
yield settings.user_dir.joinpath('rules')
# Packages with third-party rules:
for path in sys.path:
... |
Returns all enabled rules. | def get_rules():
"""Returns all enabled rules.
:rtype: [Rule]
"""
paths = [rule_path for path in get_rules_import_paths()
for rule_path in sorted(path.glob('*.py'))]
return sorted(get_loaded_rules(paths),
key=lambda rule: rule.priority) |
Yields sorted commands without duplicates. | def organize_commands(corrected_commands):
"""Yields sorted commands without duplicates.
:type corrected_commands: Iterable[thefuck.types.CorrectedCommand]
:rtype: Iterable[thefuck.types.CorrectedCommand]
"""
try:
first_command = next(corrected_commands)
yield first_command
exc... |
Returns generator with sorted and unique corrected commands. | def get_corrected_commands(command):
"""Returns generator with sorted and unique corrected commands.
:type command: thefuck.types.Command
:rtype: Iterable[thefuck.types.CorrectedCommand]
"""
corrected_commands = (
corrected for rule in get_rules()
if rule.is_match(command)
... |
Fixes previous command. Used when thefuck called without arguments. | def fix_command(known_args):
"""Fixes previous command. Used when `thefuck` called without arguments."""
settings.init(known_args)
with logs.debug_time('Total'):
logs.debug(u'Run with settings: {}'.format(pformat(settings)))
raw_command = _get_raw_command(known_args)
try:
... |
Gets command output from shell logger. | def get_output(script):
"""Gets command output from shell logger."""
with logs.debug_time(u'Read output from external shell logger'):
commands = _get_last_n(const.SHELL_LOGGER_LIMIT)
for command in commands:
if command['command'] == script:
lines = _get_output_lines(c... |
Returns list of history entries. | def _get_history_lines(self):
"""Returns list of history entries."""
history_file_name = self._get_history_file_name()
if os.path.isfile(history_file_name):
with io.open(history_file_name, 'r',
encoding='utf-8', errors='ignore') as history_file:
... |
Split the command using shell - like syntax. | def split_command(self, command):
"""Split the command using shell-like syntax."""
encoded = self.encode_utf8(command)
try:
splitted = [s.replace("??", "\\ ") for s in shlex.split(encoded.replace('\\ ', '??'))]
except ValueError:
splitted = encoded.split(' ')
... |
Return a shell - escaped version of the string s. | def quote(self, s):
"""Return a shell-escaped version of the string s."""
if six.PY2:
from pipes import quote
else:
from shlex import quote
return quote(s) |
Returns the name and version of the current shell | def info(self):
"""Returns the name and version of the current shell"""
proc = Popen(['fish', '--version'],
stdout=PIPE, stderr=DEVNULL)
version = proc.stdout.read().decode('utf-8').split()[-1]
return u'Fish Shell {}'.format(version) |
Puts command script to shell history. | def _put_to_history(self, command_script):
"""Puts command script to shell history."""
history_file_name = self._get_history_file_name()
if os.path.isfile(history_file_name):
with open(history_file_name, 'a') as history:
entry = self._get_history_line(command_script)
... |
To get brew default commands on local environment | def _get_brew_commands(brew_path_prefix):
"""To get brew default commands on local environment"""
brew_cmd_path = brew_path_prefix + BREW_CMD_PATH
return [name[:-3] for name in os.listdir(brew_cmd_path)
if name.endswith(('.rb', '.sh'))] |
To get tap s specific commands https:// github. com/ Homebrew/ homebrew/ blob/ master/ Library/ brew. rb#L115 | def _get_brew_tap_specific_commands(brew_path_prefix):
"""To get tap's specific commands
https://github.com/Homebrew/homebrew/blob/master/Library/brew.rb#L115"""
commands = []
brew_taps_path = brew_path_prefix + TAP_PATH
for user in _get_directory_names_only(brew_taps_path):
taps = _get_dir... |
Returns the name and version of the current shell | def info(self):
"""Returns the name and version of the current shell"""
proc = Popen(['zsh', '-c', 'echo $ZSH_VERSION'],
stdout=PIPE, stderr=DEVNULL)
version = proc.stdout.read().decode('utf-8').strip()
return u'ZSH {}'.format(version) |
Resolves git aliases and supports testing for both git and hub. | def git_support(fn, command):
"""Resolves git aliases and supports testing for both git and hub."""
# supports GitHub's `hub` command
# which is recommended to be used with `alias git=hub`
# but at this point, shell aliases have already been resolved
if not is_app(command, 'git', 'hub'):
ret... |
Yields actions for pressed keys. | def read_actions():
"""Yields actions for pressed keys."""
while True:
key = get_key()
# Handle arrows, j/k (qwerty), and n/e (colemak)
if key in (const.KEY_UP, const.KEY_CTRL_N, 'k', 'e'):
yield const.ACTION_PREVIOUS
elif key in (const.KEY_DOWN, const.KEY_CTRL_P, 'j... |
Returns: | def select_command(corrected_commands):
"""Returns:
- the first command when confirmation disabled;
- None when ctrl+c pressed;
- selected command.
:type corrected_commands: Iterable[thefuck.types.CorrectedCommand]
:rtype: thefuck.types.CorrectedCommand | None
"""
try:
sele... |
Create a spawned process. | def _spawn(shell, master_read):
"""Create a spawned process.
Modified version of pty.spawn with terminal size support.
"""
pid, master_fd = pty.fork()
if pid == pty.CHILD:
os.execlp(shell, shell)
try:
mode = tty.tcgetattr(pty.STDIN_FILENO)
tty.setraw(pty.STDIN_FILENO)... |
Logs shell output to the output. | def shell_logger(output):
"""Logs shell output to the `output`.
Works like unix script command with `-f` flag.
"""
if not os.environ.get('SHELL'):
logs.warn("Shell logger doesn't support your platform.")
sys.exit(1)
fd = os.open(output, os.O_CREAT | os.O_TRUNC | os.O_RDWR)
os.... |
Get output of the script. | def get_output(script, expanded):
"""Get output of the script.
:param script: Console script.
:type script: str
:param expanded: Console script with expanded aliases.
:type expanded: str
:rtype: str
"""
if shell_logger.is_available():
return shell_logger.get_output(script)
... |
Adds arguments to parser. | def _add_arguments(self):
"""Adds arguments to parser."""
self._parser.add_argument(
'-v', '--version',
action='store_true',
help="show program's version number and exit")
self._parser.add_argument(
'-a', '--alias',
nargs='?',
... |
It s too dangerous to use - y and - r together. | def _add_conflicting_arguments(self):
"""It's too dangerous to use `-y` and `-r` together."""
group = self._parser.add_mutually_exclusive_group()
group.add_argument(
'-y', '--yes', '--yeah',
action='store_true',
help='execute fixed command without confirmation... |
Prepares arguments by: | def _prepare_arguments(self, argv):
"""Prepares arguments by:
- removing placeholder and moving arguments after it to beginning,
we need this to distinguish arguments from `command` with ours;
- adding `--` before `command`, so our parse would ignore arguments
of `command`.... |
Get custom npm scripts. | def get_scripts():
"""Get custom npm scripts."""
proc = Popen(['npm', 'run-script'], stdout=PIPE)
should_yeild = False
for line in proc.stdout.readlines():
line = line.decode()
if 'available via `npm run-script`:' in line:
should_yeild = True
continue
if ... |
Fills settings with values from settings. py and env. | def init(self, args=None):
"""Fills `settings` with values from `settings.py` and env."""
from .logs import exception
self._setup_user_dir()
self._init_settings_file()
try:
self.update(self._settings_from_file())
except Exception:
exception("Can'... |
Returns Path object representing the user config resource | def _get_user_dir_path(self):
"""Returns Path object representing the user config resource"""
xdg_config_home = os.environ.get('XDG_CONFIG_HOME', '~/.config')
user_dir = Path(xdg_config_home, 'thefuck').expanduser()
legacy_user_dir = Path('~', '.thefuck').expanduser()
# For back... |
Returns user config dir create it when it doesn t exist. | def _setup_user_dir(self):
"""Returns user config dir, create it when it doesn't exist."""
user_dir = self._get_user_dir_path()
rules_dir = user_dir.joinpath('rules')
if not rules_dir.is_dir():
rules_dir.mkdir(parents=True)
self.user_dir = user_dir |
Loads settings from file. | def _settings_from_file(self):
"""Loads settings from file."""
settings = load_source(
'settings', text_type(self.user_dir.joinpath('settings.py')))
return {key: getattr(settings, key)
for key in const.DEFAULT_SETTINGS.keys()
if hasattr(settings, key)} |
Transforms rules list from env - string to python. | def _rules_from_env(self, val):
"""Transforms rules list from env-string to python."""
val = val.split(':')
if 'DEFAULT_RULES' in val:
val = const.DEFAULT_RULES + [rule for rule in val if rule != 'DEFAULT_RULES']
return val |
Gets priority pairs from env. | def _priority_from_env(self, val):
"""Gets priority pairs from env."""
for part in val.split(':'):
try:
rule, priority = part.split('=')
yield rule, int(priority)
except ValueError:
continue |
Transforms env - strings to python. | def _val_from_env(self, env, attr):
"""Transforms env-strings to python."""
val = os.environ[env]
if attr in ('rules', 'exclude_rules'):
return self._rules_from_env(val)
elif attr == 'priority':
return dict(self._priority_from_env(val))
elif attr in ('wait... |
Loads settings from env. | def _settings_from_env(self):
"""Loads settings from env."""
return {attr: self._val_from_env(env, attr)
for env, attr in const.ENV_TO_ATTR.items()
if env in os.environ} |
Loads settings from args. | def _settings_from_args(self, args):
"""Loads settings from args."""
if not args:
return {}
from_args = {}
if args.yes:
from_args['require_confirmation'] = not args.yes
if args.debug:
from_args['debug'] = args.debug
if args.repeat:
... |
When arguments order is wrong first argument will be destination. | def _get_destination(script_parts):
"""When arguments order is wrong first argument will be destination."""
for part in script_parts:
if part not in {'ln', '-s', '--symbolic'} and os.path.exists(part):
return part |
Removes sudo before calling fn and adds it after. | def sudo_support(fn, command):
"""Removes sudo before calling fn and adds it after."""
if not command.script.startswith('sudo '):
return fn(command)
result = fn(command.update(script=command.script[5:]))
if result and isinstance(result, six.string_types):
return u'sudo {}'.format(resul... |
Tries to kill the process otherwise just logs a debug message the process will be killed when thefuck terminates. | def _kill_process(proc):
"""Tries to kill the process otherwise just logs a debug message, the
process will be killed when thefuck terminates.
:type proc: Process
"""
try:
proc.kill()
except AccessDenied:
logs.debug(u'Rerun: process PID {} ({}) could not be terminated'.format(
... |
Returns True if we can get output of the command in the settings. wait_command time. | def _wait_output(popen, is_slow):
"""Returns `True` if we can get output of the command in the
`settings.wait_command` time.
Command will be killed if it wasn't finished in the time.
:type popen: Popen
:rtype: bool
"""
proc = Process(popen.pid)
try:
proc.wait(settings.wait_slo... |
Runs the script and obtains stdin/ stderr. | def get_output(script, expanded):
"""Runs the script and obtains stdin/stderr.
:type script: str
:type expanded: str
:rtype: str | None
"""
env = dict(os.environ)
env.update(settings.env)
is_slow = shlex.split(expanded) in settings.slow_commands
with logs.debug_time(u'Call: {}; wi... |
Reads script output from log. | def get_output(script):
"""Reads script output from log.
:type script: str
:rtype: str | None
"""
if six.PY2:
logs.warn('Experimental instant mode is Python 3+ only')
return None
if 'THEFUCK_OUTPUT_LOG' not in os.environ:
logs.warn("Output log isn't specified")
... |
Gets the packages that provide the given command using pkgfile. | def get_pkgfile(command):
""" Gets the packages that provide the given command using `pkgfile`.
If the command is of the form `sudo foo`, searches for the `foo` command
instead.
"""
try:
command = command.strip()
if command.startswith('sudo '):
command = command[5:]
... |
Returns a list of the child directories of the given parent directory | def _get_sub_dirs(parent):
"""Returns a list of the child directories of the given parent directory"""
return [child for child in os.listdir(parent) if os.path.isdir(os.path.join(parent, child))] |
Attempt to rebuild the path string by spellchecking the directories. If it fails ( i. e. no directories are a close enough match ) then it defaults to the rules of cd_mkdir. Change sensitivity by changing MAX_ALLOWED_DIFF. Default value is 0. 6 | def get_new_command(command):
"""
Attempt to rebuild the path string by spellchecking the directories.
If it fails (i.e. no directories are a close enough match), then it
defaults to the rules of cd_mkdir.
Change sensitivity by changing MAX_ALLOWED_DIFF. Default value is 0.6
"""
dest = comma... |
Returns new command with replaced fields. | def update(self, **kwargs):
"""Returns new command with replaced fields.
:rtype: Command
"""
kwargs.setdefault('script', self.script)
kwargs.setdefault('output', self.output)
return Command(**kwargs) |
Creates instance of Command from a list of script parts. | def from_raw_script(cls, raw_script):
"""Creates instance of `Command` from a list of script parts.
:type raw_script: [basestring]
:rtype: Command
:raises: EmptyCommand
"""
script = format_raw_script(raw_script)
if not script:
raise EmptyCommand
... |
Creates rule instance from path. | def from_path(cls, path):
"""Creates rule instance from path.
:type path: pathlib.Path
:rtype: Rule
"""
name = path.name[:-3]
with logs.debug_time(u'Importing rule: {};'.format(name)):
rule_module = load_source(name, str(path))
priority = getattr... |
Returns True when rule enabled. | def is_enabled(self):
"""Returns `True` when rule enabled.
:rtype: bool
"""
if self.name in settings.exclude_rules:
return False
elif self.name in settings.rules:
return True
elif self.enabled_by_default and ALL_ENABLED in settings.rules:
... |
Returns True if rule matches the command. | def is_match(self, command):
"""Returns `True` if rule matches the command.
:type command: Command
:rtype: bool
"""
if command.output is None and self.requires_output:
return False
try:
with logs.debug_time(u'Trying rule: {};'.format(self.name))... |
Returns generator with corrected commands. | def get_corrected_commands(self, command):
"""Returns generator with corrected commands.
:type command: Command
:rtype: Iterable[CorrectedCommand]
"""
new_commands = self.get_new_command(command)
if not isinstance(new_commands, list):
new_commands = (new_com... |
Returns fixed commands script. | def _get_script(self):
"""Returns fixed commands script.
If `settings.repeat` is `True`, appends command with second attempt
of running fuck in case fixed command fails again.
"""
if settings.repeat:
repeat_fuck = '{} --repeat {}--force-command {}'.format(
... |
Runs command from rule for passed command. | def run(self, old_cmd):
"""Runs command from rule for passed command.
:type old_cmd: Command
"""
if self.side_effect:
self.side_effect(old_cmd, self.script)
if settings.alter_history:
shell.put_to_history(self.script)
# This depends on correct se... |
Returns parent process pid. | def _get_shell_pid():
"""Returns parent process pid."""
proc = Process(os.getpid())
try:
return proc.parent().pid
except TypeError:
return proc.parent.pid |
Records shell pid to tracker file. | def _record_first_run():
"""Records shell pid to tracker file."""
info = {'pid': _get_shell_pid(),
'time': time.time()}
mode = 'wb' if six.PY2 else 'w'
with _get_not_configured_usage_tracker_path().open(mode) as tracker:
json.dump(info, tracker) |
Returns True when we know that fuck called second time. | def _is_second_run():
"""Returns `True` when we know that `fuck` called second time."""
tracker_path = _get_not_configured_usage_tracker_path()
if not tracker_path.exists():
return False
current_pid = _get_shell_pid()
with tracker_path.open('r') as tracker:
try:
info = j... |
Returns True when alias already in shell config. | def _is_already_configured(configuration_details):
"""Returns `True` when alias already in shell config."""
path = Path(configuration_details.path).expanduser()
with path.open('r') as shell_config:
return configuration_details.content in shell_config.read() |
Adds alias to shell config. | def _configure(configuration_details):
"""Adds alias to shell config."""
path = Path(configuration_details.path).expanduser()
with path.open('a') as shell_config:
shell_config.write(u'\n')
shell_config.write(configuration_details.content)
shell_config.write(u'\n') |
Shows useful information about how - to configure alias on a first run and configure automatically on a second. | def main():
"""Shows useful information about how-to configure alias on a first run
and configure automatically on a second.
It'll be only visible when user type fuck and when alias isn't configured.
"""
settings.init()
configuration_details = shell.how_to_configure()
if (
configur... |
Caches previous calls to the function. | def memoize(fn):
"""Caches previous calls to the function."""
memo = {}
@wraps(fn)
def wrapper(*args, **kwargs):
if not memoize.disabled:
key = pickle.dumps((args, kwargs))
if key not in memo:
memo[key] = fn(*args, **kwargs)
value = memo[key]
... |
Adds default values to settings if it not presented. | def default_settings(params):
"""Adds default values to settings if it not presented.
Usage:
@default_settings({'apt': '/usr/bin/apt'})
def match(command):
print(settings.apt)
"""
def _default_settings(fn, command):
for k, w in params.items():
settings.... |
Returns closest match or just first from possibilities. | def get_closest(word, possibilities, cutoff=0.6, fallback_to_first=True):
"""Returns closest match or just first from possibilities."""
possibilities = list(possibilities)
try:
return difflib_get_close_matches(word, possibilities, 1, cutoff)[0]
except IndexError:
if fallback_to_first:
... |
Overrides difflib. get_close_match to controle argument n. | def get_close_matches(word, possibilities, n=None, cutoff=0.6):
"""Overrides `difflib.get_close_match` to controle argument `n`."""
if n is None:
n = settings.num_close_matches
return difflib_get_close_matches(word, possibilities, n, cutoff) |
Replaces command line argument. | def replace_argument(script, from_, to):
"""Replaces command line argument."""
replaced_in_the_end = re.sub(u' {}$'.format(re.escape(from_)), u' {}'.format(to),
script, count=1)
if replaced_in_the_end != script:
return replaced_in_the_end
else:
return scr... |
Helper for * _no_command rules. | def replace_command(command, broken, matched):
"""Helper for *_no_command rules."""
new_cmds = get_close_matches(broken, matched, cutoff=0.1)
return [replace_argument(command.script, broken, new_cmd.strip())
for new_cmd in new_cmds] |
Returns True if command is call to one of passed app names. | def is_app(command, *app_names, **kwargs):
"""Returns `True` if command is call to one of passed app names."""
at_least = kwargs.pop('at_least', 0)
if kwargs:
raise TypeError("got an unexpected keyword argument '{}'".format(kwargs.keys()))
if len(command.script_parts) > at_least:
retur... |
Specifies that matching script is for on of app names. | def for_app(*app_names, **kwargs):
"""Specifies that matching script is for on of app names."""
def _for_app(fn, command):
if is_app(command, *app_names, **kwargs):
return fn(command)
else:
return False
return decorator(_for_app) |
Caches function result in temporary file. | def cache(*depends_on):
"""Caches function result in temporary file.
Cache will be expired when modification date of files from `depends_on`
will be changed.
Only functions should be wrapped in `cache`, not methods.
"""
def cache_decorator(fn):
@memoize
@wraps(fn)
def ... |
Creates single script from a list of script parts. | def format_raw_script(raw_script):
"""Creates single script from a list of script parts.
:type raw_script: [basestring]
:rtype: basestring
"""
if six.PY2:
script = ' '.join(arg.decode('utf-8') for arg in raw_script)
else:
script = ' '.join(raw_script)
return script.strip() |
Decides actions given observations information and takes them in environment.: param brain_info: A dictionary of brain names and BrainInfo from environment.: return: an ActionInfo containing action memories values and an object to be passed to add experiences | def get_action(self, brain_info: BrainInfo) -> ActionInfo:
"""
Decides actions given observations information, and takes them in environment.
:param brain_info: A dictionary of brain names and BrainInfo from environment.
:return: an ActionInfo containing action, memories, values and an o... |
Executes model.: param feed_dict: Input dictionary mapping nodes to input data.: param out_dict: Output dictionary mapping names to nodes.: return: Dictionary mapping names to input data. | def _execute_model(self, feed_dict, out_dict):
"""
Executes model.
:param feed_dict: Input dictionary mapping nodes to input data.
:param out_dict: Output dictionary mapping names to nodes.
:return: Dictionary mapping names to input data.
"""
network_out = self.se... |
Gets current model step.: return: current model step. | def get_current_step(self):
"""
Gets current model step.
:return: current model step.
"""
step = self.sess.run(self.model.global_step)
return step |
Saves the model: param steps: The number of steps the model was trained for: return: | def save_model(self, steps):
"""
Saves the model
:param steps: The number of steps the model was trained for
:return:
"""
with self.graph.as_default():
last_checkpoint = self.model_path + '/model-' + str(steps) + '.cptk'
self.saver.save(self.sess, ... |
Exports latest saved model to. nn format for Unity embedding. | def export_model(self):
"""
Exports latest saved model to .nn format for Unity embedding.
"""
with self.graph.as_default():
target_nodes = ','.join(self._process_graph())
ckpt = tf.train.get_checkpoint_state(self.model_path)
freeze_graph.freeze_graph(... |
Gets the list of the output nodes present in the graph for inference: return: list of node names | def _process_graph(self):
"""
Gets the list of the output nodes present in the graph for inference
:return: list of node names
"""
all_nodes = [x.name for x in self.graph.as_graph_def().node]
nodes = [x for x in all_nodes if x in self.possible_output_nodes]
logger... |
Resets all the local local_buffers | def reset_local_buffers(self):
"""
Resets all the local local_buffers
"""
agent_ids = list(self.keys())
for k in agent_ids:
self[k].reset_agent() |
Appends the buffer of an agent to the update buffer.: param agent_id: The id of the agent which data will be appended: param key_list: The fields that must be added. If None: all fields will be appended.: param batch_size: The number of elements that must be appended. If None: All of them will be.: param training_lengt... | def append_update_buffer(self, agent_id, key_list=None, batch_size=None, training_length=None):
"""
Appends the buffer of an agent to the update buffer.
:param agent_id: The id of the agent which data will be appended
:param key_list: The fields that must be added. If None: all fields wi... |
Appends the buffer of all agents to the update buffer.: param key_list: The fields that must be added. If None: all fields will be appended.: param batch_size: The number of elements that must be appended. If None: All of them will be.: param training_length: The length of the samples that must be appended. If None: on... | def append_all_agent_batch_to_update_buffer(self, key_list=None, batch_size=None, training_length=None):
"""
Appends the buffer of all agents to the update buffer.
:param key_list: The fields that must be added. If None: all fields will be appended.
:param batch_size: The number of eleme... |
Launches training session.: param process_queue: Queue used to send signal back to main.: param sub_id: Unique id for training session.: param run_seed: Random seed used for training.: param run_options: Command line arguments for training. | def run_training(sub_id: int, run_seed: int, run_options, process_queue):
"""
Launches training session.
:param process_queue: Queue used to send signal back to main.
:param sub_id: Unique id for training session.
:param run_seed: Random seed used for training.
:param run_options: Command line a... |
Get an action using this trainer s current policy.: param curr_info: Current BrainInfo.: return: The ActionInfo given by the policy given the BrainInfo. | def get_action(self, curr_info: BrainInfo) -> ActionInfo:
"""
Get an action using this trainer's current policy.
:param curr_info: Current BrainInfo.
:return: The ActionInfo given by the policy given the BrainInfo.
"""
self.trainer_metrics.start_experience_collection_time... |
Saves training statistics to Tensorboard.: param delta_train_start: Time elapsed since training started.: param lesson_num: Current lesson number in curriculum.: param global_step: The number of steps the simulation has been going for | def write_summary(self, global_step, delta_train_start, lesson_num=0):
"""
Saves training statistics to Tensorboard.
:param delta_train_start: Time elapsed since training started.
:param lesson_num: Current lesson number in curriculum.
:param global_step: The number of steps the... |
Saves text to Tensorboard. Note: Only works on tensorflow r1. 2 or above.: param key: The name of the text.: param input_dict: A dictionary that will be displayed in a table on Tensorboard. | def write_tensorboard_text(self, key, input_dict):
"""
Saves text to Tensorboard.
Note: Only works on tensorflow r1.2 or above.
:param key: The name of the text.
:param input_dict: A dictionary that will be displayed in a table on Tensorboard.
"""
try:
... |
A dict from brain name to the brain s curriculum s lesson number. | def lesson_nums(self):
"""A dict from brain name to the brain's curriculum's lesson number."""
lesson_nums = {}
for brain_name, curriculum in self.brains_to_curriculums.items():
lesson_nums[brain_name] = curriculum.lesson_num
return lesson_nums |
Attempts to increments all the lessons of all the curriculums in this MetaCurriculum. Note that calling this method does not guarantee the lesson of a curriculum will increment. The lesson of a curriculum will only increment if the specified measure threshold defined in the curriculum has been reached and the minimum n... | def increment_lessons(self, measure_vals, reward_buff_sizes=None):
"""Attempts to increments all the lessons of all the curriculums in this
MetaCurriculum. Note that calling this method does not guarantee the
lesson of a curriculum will increment. The lesson of a curriculum will
only inc... |
Sets all the curriculums in this meta curriculum to a specified lesson number. | def set_all_curriculums_to_lesson_num(self, lesson_num):
"""Sets all the curriculums in this meta curriculum to a specified
lesson number.
Args:
lesson_num (int): The lesson number which all the curriculums will
be set to.
"""
for _, curriculum in sel... |
Get the combined configuration of all curriculums in this MetaCurriculum. | def get_config(self):
"""Get the combined configuration of all curriculums in this
MetaCurriculum.
Returns:
A dict from parameter to value.
"""
config = {}
for _, curriculum in self.brains_to_curriculums.items():
curr_config = curriculum.get_conf... |
Sends a signal to reset the unity environment.: return: AllBrainInfo: A data structure corresponding to the initial reset state of the environment. | def reset(self, config=None, train_mode=True, custom_reset_parameters=None) -> AllBrainInfo:
"""
Sends a signal to reset the unity environment.
:return: AllBrainInfo : A data structure corresponding to the initial reset state of the environment.
"""
if config is None:
... |
Provides the environment with an action moves the environment dynamics forward accordingly and returns observation state and reward information to the agent.: param value: Value estimates provided by agents.: param vector_action: Agent s vector action. Can be a scalar or vector of int/ floats.: param memory: Vector cor... | def step(self, vector_action=None, memory=None, text_action=None, value=None, custom_action=None) -> AllBrainInfo:
"""
Provides the environment with an action, moves the environment dynamics forward accordingly,
and returns observation, state, and reward information to the agent.
:param ... |
Converts arrays to list.: param arr: numpy vector.: return: flattened list. | def _flatten(cls, arr) -> List[float]:
"""
Converts arrays to list.
:param arr: numpy vector.
:return: flattened list.
"""
if isinstance(arr, cls.SCALAR_ACTION_TYPES):
arr = [float(arr)]
if isinstance(arr, np.ndarray):
arr = arr.tolist()
... |
Collects experience information from all external brains in environment at current step.: return: a dictionary of BrainInfo objects. | def _get_state(self, output: UnityRLOutput) -> (AllBrainInfo, bool):
"""
Collects experience information from all external brains in environment at current step.
:return: a dictionary of BrainInfo objects.
"""
_data = {}
global_done = output.global_done
for brain_... |
Inform Metrics class that experience collection is done. | def end_experience_collection_timer(self):
"""
Inform Metrics class that experience collection is done.
"""
if self.time_start_experience_collection:
curr_delta = time() - self.time_start_experience_collection
if self.delta_last_experience_collection is None:
... |
Inform Metrics class about time to step in environment. | def add_delta_step(self, delta: float):
"""
Inform Metrics class about time to step in environment.
"""
if self.delta_last_experience_collection:
self.delta_last_experience_collection += delta
else:
self.delta_last_experience_collection = delta |
Inform Metrics class that policy update has started.: int number_experiences: Number of experiences in Buffer at this point.: float mean_return: Return averaged across all cumulative returns since last policy update | def start_policy_update_timer(self, number_experiences: int, mean_return: float):
"""
Inform Metrics class that policy update has started.
:int number_experiences: Number of experiences in Buffer at this point.
:float mean_return: Return averaged across all cumulative returns since last ... |
Inform Metrics class that policy update has started. | def end_policy_update(self):
"""
Inform Metrics class that policy update has started.
"""
if self.time_policy_update_start:
self.delta_policy_update = time() - self.time_policy_update_start
else:
self.delta_policy_update = 0
delta_train_start = tim... |
Write Training Metrics to CSV | def write_training_metrics(self):
"""
Write Training Metrics to CSV
"""
with open(self.path, 'w') as file:
writer = csv.writer(file)
writer.writerow(FIELD_NAMES)
for row in self.rows:
writer.writerow(row) |
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