diff --git a/.gitattributes b/.gitattributes index 0dcc975df6db68548644a9ea59fe3851cf2b9741..6158efc49f3e0e76ec186e410f327b48dbef487d 100644 --- a/.gitattributes +++ b/.gitattributes @@ -163,3 +163,5 @@ tuning-competition-baseline/.venv/lib/python3.11/site-packages/torch/_inductor/_ .venv/lib/python3.11/site-packages/ray/dag/__pycache__/compiled_dag_node.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text .venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict/_multidict.cpython-311-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text .venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/frozenlist/_frozenlist.cpython-311-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text +.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/attr/__pycache__/_make.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text +.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohttp/_websocket/mask.cpython-311-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..768bc716c7c30c0ea64144052a16205531e9dec5 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__init__.py @@ -0,0 +1,377 @@ +import colorama +from dataclasses import dataclass +import logging +import logging.handlers +import os +import re +import sys +import threading +import time +from typing import Callable, Dict, List, Set, Tuple, Any, Optional, Union, Iterable + +import ray +from ray.experimental.tqdm_ray import RAY_TQDM_MAGIC +from ray._private.ray_constants import ( + RAY_DEDUP_LOGS, + RAY_DEDUP_LOGS_AGG_WINDOW_S, + RAY_DEDUP_LOGS_ALLOW_REGEX, + RAY_DEDUP_LOGS_SKIP_REGEX, +) +from ray.util.debug import log_once + + +def setup_logger( + logging_level: int, + logging_format: str, +): + """Setup default logging for ray.""" + logger = logging.getLogger("ray") + if logging_format: + # Overwrite the formatters for all default handlers. + formatter = logging.Formatter(logging_format) + for handler in logger.handlers: + handler.setFormatter(formatter) + if type(logging_level) is str: + logging_level = logging.getLevelName(logging_level.upper()) + logger.setLevel(logging_level) + + +def setup_component_logger( + *, + logging_level, + logging_format, + log_dir, + filename: Union[str, Iterable[str]], + max_bytes, + backup_count, + logger_name=None, + propagate=True, +): + """Configure the logger that is used for Ray's python components. + + For example, it should be used for monitor, dashboard, and log monitor. + The only exception is workers. They use the different logging config. + + Ray's python components generally should not write to stdout/stderr, because + messages written there will be redirected to the head node. For deployments where + there may be thousands of workers, this would create unacceptable levels of log + spam. For this reason, we disable the "ray" logger's handlers, and enable + propagation so that log messages that actually do need to be sent to the head node + can reach it. + + Args: + logging_level: Logging level in string or logging enum. + logging_format: Logging format string. + log_dir: Log directory path. If empty, logs will go to + stderr. + filename: A single filename or an iterable of filenames to write logs to. + If empty, logs will go to stderr. + max_bytes: Same argument as RotatingFileHandler's maxBytes. + backup_count: Same argument as RotatingFileHandler's backupCount. + logger_name: Used to create or get the correspoding + logger in getLogger call. It will get the root logger by default. + propagate: Whether to propagate the log to the parent logger. + Returns: + the created or modified logger. + """ + ray._private.log.clear_logger("ray") + + logger = logging.getLogger(logger_name) + if isinstance(logging_level, str): + logging_level = logging.getLevelName(logging_level.upper()) + logger.setLevel(logging_level) + + filenames = [filename] if isinstance(filename, str) else filename + + for filename in filenames: + if not filename or not log_dir: + handler = logging.StreamHandler() + else: + handler = logging.handlers.RotatingFileHandler( + os.path.join(log_dir, filename), + maxBytes=max_bytes, + backupCount=backup_count, + ) + handler.setLevel(logging_level) + handler.setFormatter(logging.Formatter(logging_format)) + logger.addHandler(handler) + + logger.propagate = propagate + return logger + + +def run_callback_on_events_in_ipython(event: str, cb: Callable): + """ + Register a callback to be run after each cell completes in IPython. + E.g.: + This is used to flush the logs after each cell completes. + + If IPython is not installed, this function does nothing. + + Args: + cb: The callback to run. + """ + if "IPython" in sys.modules: + from IPython import get_ipython + + ipython = get_ipython() + # Register a callback on cell completion. + if ipython is not None: + ipython.events.register(event, cb) + + +""" +All components underneath here is used specifically for the default_worker.py. +""" + + +def get_worker_log_file_name(worker_type, job_id=None): + if job_id is None: + job_id = os.environ.get("RAY_JOB_ID") + if worker_type == "WORKER": + if job_id is None: + job_id = "" + worker_name = "worker" + else: + job_id = "" + worker_name = "io_worker" + + # Make sure these values are set already. + assert ray._private.worker._global_node is not None + assert ray._private.worker.global_worker is not None + filename = f"{worker_name}-{ray.get_runtime_context().get_worker_id()}-" + if job_id: + filename += f"{job_id}-" + filename += f"{os.getpid()}" + return filename + + +def configure_log_file(out_file, err_file): + # If either of the file handles are None, there are no log files to + # configure since we're redirecting all output to stdout and stderr. + if out_file is None or err_file is None: + return + stdout_fileno = sys.stdout.fileno() + stderr_fileno = sys.stderr.fileno() + # C++ logging requires redirecting the stdout file descriptor. Note that + # dup2 will automatically close the old file descriptor before overriding + # it. + os.dup2(out_file.fileno(), stdout_fileno) + os.dup2(err_file.fileno(), stderr_fileno) + # We also manually set sys.stdout and sys.stderr because that seems to + # have an effect on the output buffering. Without doing this, stdout + # and stderr are heavily buffered resulting in seemingly lost logging + # statements. We never want to close the stdout file descriptor, dup2 will + # close it when necessary and we don't want python's GC to close it. + sys.stdout = ray._private.utils.open_log( + stdout_fileno, unbuffered=True, closefd=False + ) + sys.stderr = ray._private.utils.open_log( + stderr_fileno, unbuffered=True, closefd=False + ) + + +class WorkerStandardStreamDispatcher: + def __init__(self): + self.handlers = [] + self._lock = threading.Lock() + + def add_handler(self, name: str, handler: Callable) -> None: + with self._lock: + self.handlers.append((name, handler)) + + def remove_handler(self, name: str) -> None: + with self._lock: + new_handlers = [pair for pair in self.handlers if pair[0] != name] + self.handlers = new_handlers + + def emit(self, data): + with self._lock: + for pair in self.handlers: + _, handle = pair + handle(data) + + +global_worker_stdstream_dispatcher = WorkerStandardStreamDispatcher() + + +# Regex for canonicalizing log lines. +NUMBERS = re.compile(r"(\d+|0x[0-9a-fA-F]+)") + +# Batch of log lines including ip, pid, lines, etc. +LogBatch = Dict[str, Any] + + +def _canonicalise_log_line(line): + # Remove words containing numbers or hex, since those tend to differ between + # workers. + return " ".join(x for x in line.split() if not NUMBERS.search(x)) + + +@dataclass +class DedupState: + # Timestamp of the earliest log message seen of this pattern. + timestamp: int + + # The number of un-printed occurrances for this pattern. + count: int + + # Latest instance of this log pattern. + line: int + + # Latest metadata dict for this log pattern, not including the lines field. + metadata: LogBatch + + # Set of (ip, pid) sources which have emitted this pattern. + sources: Set[Tuple[str, int]] + + # The string that should be printed to stdout. + def formatted(self) -> str: + return self.line + _color( + f" [repeated {self.count}x across cluster]" + _warn_once() + ) + + +class LogDeduplicator: + def __init__( + self, + agg_window_s: int, + allow_re: Optional[str], + skip_re: Optional[str], + *, + _timesource=None, + ): + self.agg_window_s = agg_window_s + if allow_re: + self.allow_re = re.compile(allow_re) + else: + self.allow_re = None + if skip_re: + self.skip_re = re.compile(skip_re) + else: + self.skip_re = None + # Buffer of up to RAY_DEDUP_LOGS_AGG_WINDOW_S recent log patterns. + # This buffer is cleared if the pattern isn't seen within the window. + self.recent: Dict[str, DedupState] = {} + self.timesource = _timesource or (lambda: time.time()) + + run_callback_on_events_in_ipython("post_execute", self.flush) + + def deduplicate(self, batch: LogBatch) -> List[LogBatch]: + """Rewrite a batch of lines to reduce duplicate log messages. + + Args: + batch: The batch of lines from a single source. + + Returns: + List of batches from this and possibly other previous sources to print. + """ + if not RAY_DEDUP_LOGS: + return [batch] + + now = self.timesource() + metadata = batch.copy() + del metadata["lines"] + source = (metadata.get("ip"), metadata.get("pid")) + output: List[LogBatch] = [dict(**metadata, lines=[])] + + # Decide which lines to emit from the input batch. Put the outputs in the + # first output log batch (output[0]). + for line in batch["lines"]: + if RAY_TQDM_MAGIC in line or (self.allow_re and self.allow_re.search(line)): + output[0]["lines"].append(line) + continue + elif self.skip_re and self.skip_re.search(line): + continue + dedup_key = _canonicalise_log_line(line) + + if dedup_key == "": + # Don't dedup messages that are empty after canonicalization. + # Because that's all the information users want to see. + output[0]["lines"].append(line) + continue + + if dedup_key in self.recent: + sources = self.recent[dedup_key].sources + sources.add(source) + # We deduplicate the warnings/error messages from raylet by default. + if len(sources) > 1 or batch["pid"] == "raylet": + state = self.recent[dedup_key] + self.recent[dedup_key] = DedupState( + state.timestamp, + state.count + 1, + line, + metadata, + sources, + ) + else: + # Don't dedup messages from the same source, just print. + output[0]["lines"].append(line) + else: + self.recent[dedup_key] = DedupState(now, 0, line, metadata, {source}) + output[0]["lines"].append(line) + + # Flush patterns from the buffer that are older than the aggregation window. + while self.recent: + if now - next(iter(self.recent.values())).timestamp < self.agg_window_s: + break + dedup_key = next(iter(self.recent)) + state = self.recent.pop(dedup_key) + # we already logged an instance of this line immediately when received, + # so don't log for count == 0 + if state.count > 1: + # (Actor pid=xxxx) [repeated 2x across cluster] ... + output.append(dict(**state.metadata, lines=[state.formatted()])) + # Continue aggregating for this key but reset timestamp and count. + state.timestamp = now + state.count = 0 + self.recent[dedup_key] = state + elif state.count > 0: + # Aggregation wasn't fruitful, print the line and stop aggregating. + output.append(dict(state.metadata, lines=[state.line])) + + return output + + def flush(self) -> List[dict]: + """Return all buffered log messages and clear the buffer. + + Returns: + List of log batches to print. + """ + output = [] + for state in self.recent.values(): + if state.count > 1: + output.append( + dict( + state.metadata, + lines=[state.formatted()], + ) + ) + elif state.count > 0: + output.append(dict(state.metadata, **{"lines": [state.line]})) + self.recent.clear() + return output + + +def _warn_once() -> str: + if log_once("log_dedup_warning"): + return ( + " (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to " + "disable log deduplication, or see https://docs.ray.io/en/master/" + "ray-observability/user-guides/configure-logging.html#log-deduplication " + "for more options.)" + ) + else: + return "" + + +def _color(msg: str) -> str: + return "{}{}{}".format(colorama.Fore.GREEN, msg, colorama.Style.RESET_ALL) + + +stdout_deduplicator = LogDeduplicator( + RAY_DEDUP_LOGS_AGG_WINDOW_S, RAY_DEDUP_LOGS_ALLOW_REGEX, RAY_DEDUP_LOGS_SKIP_REGEX +) +stderr_deduplicator = LogDeduplicator( + RAY_DEDUP_LOGS_AGG_WINDOW_S, RAY_DEDUP_LOGS_ALLOW_REGEX, RAY_DEDUP_LOGS_SKIP_REGEX +) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/__init__.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5120cfee4e3db30d3a334d3e474eef9279e33fa2 Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/__init__.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/constants.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/constants.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8a89a5f09c3d588dab1344cebf30dfc5f8aa0bbc Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/constants.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/default_impl.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/default_impl.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..92972e497ef7b493efa7a450fe91eacf23d0aa65 Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/default_impl.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/filters.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/filters.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..744748684717b404d9d73d3062cfeccab258eecf Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/filters.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/formatters.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/formatters.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b90c8bc0aca90802f7aca94cc1965cff8fba78d9 Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/formatters.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/logging_config.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/logging_config.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6b995147a24f468c6ef2d9bac56757adaf30359a Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/__pycache__/logging_config.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/constants.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..54552bdfe1d75a72a070a5bdb9b7d095ab3de697 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/constants.py @@ -0,0 +1,57 @@ +from enum import Enum + +# A set containing the standard attributes of a LogRecord. This is used to +# help us determine which attributes constitute Ray or user-provided context. +# http://docs.python.org/library/logging.html#logrecord-attributes +LOGRECORD_STANDARD_ATTRS = { + "args", + "asctime", + "created", + "exc_info", + "exc_text", + "filename", + "funcName", + "levelname", + "levelno", + "lineno", + "message", + "module", + "msecs", + "msg", + "name", + "pathname", + "process", + "processName", + "relativeCreated", + "stack_info", + "thread", + "threadName", + "taskName", +} + +LOGGER_FLATTEN_KEYS = { + "ray_serve_extra_fields", +} + + +class LogKey(str, Enum): + # Core context + JOB_ID = "job_id" + WORKER_ID = "worker_id" + NODE_ID = "node_id" + ACTOR_ID = "actor_id" + TASK_ID = "task_id" + ACTOR_NAME = "actor_name" + TASK_NAME = "task_name" + TASK_FUNCTION_NAME = "task_func_name" + + # Logger built-in context + ASCTIME = "asctime" + LEVELNAME = "levelname" + MESSAGE = "message" + FILENAME = "filename" + LINENO = "lineno" + EXC_TEXT = "exc_text" + + # Ray logging context + TIMESTAMP_NS = "timestamp_ns" diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/default_impl.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/default_impl.py new file mode 100644 index 0000000000000000000000000000000000000000..3901baaa956f3fd35cdfd8a3fa89ee5878137893 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/default_impl.py @@ -0,0 +1,4 @@ +def get_logging_configurator(): + from ray._private.ray_logging.logging_config import DefaultLoggingConfigurator + + return DefaultLoggingConfigurator() diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/filters.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/filters.py new file mode 100644 index 0000000000000000000000000000000000000000..91233a2b11c6a313f4ecaca2e5270e9154d71f47 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/filters.py @@ -0,0 +1,32 @@ +import logging +import ray +from ray._private.ray_logging.constants import LogKey + + +class CoreContextFilter(logging.Filter): + def filter(self, record): + if not ray.is_initialized(): + # There is no additional context if ray is not initialized + return True + + runtime_context = ray.get_runtime_context() + setattr(record, LogKey.JOB_ID.value, runtime_context.get_job_id()) + setattr(record, LogKey.WORKER_ID.value, runtime_context.get_worker_id()) + setattr(record, LogKey.NODE_ID.value, runtime_context.get_node_id()) + if runtime_context.worker.mode == ray.WORKER_MODE: + actor_id = runtime_context.get_actor_id() + if actor_id is not None: + setattr(record, LogKey.ACTOR_ID.value, actor_id) + task_id = runtime_context.get_task_id() + if task_id is not None: + setattr(record, LogKey.TASK_ID.value, task_id) + task_name = runtime_context.get_task_name() + if task_name is not None: + setattr(record, LogKey.TASK_NAME.value, task_name) + task_function_name = runtime_context.get_task_function_name() + if task_function_name is not None: + setattr(record, LogKey.TASK_FUNCTION_NAME.value, task_function_name) + actor_name = runtime_context.get_actor_name() + if actor_name is not None: + setattr(record, LogKey.ACTOR_NAME.value, actor_name) + return True diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/formatters.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/formatters.py new file mode 100644 index 0000000000000000000000000000000000000000..6324659dc4f029305baf529630a5a2e4656e5580 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/formatters.py @@ -0,0 +1,92 @@ +import logging +import json +from ray._private.log import INTERNAL_TIMESTAMP_LOG_KEY +from ray._private.ray_logging.constants import ( + LogKey, + LOGRECORD_STANDARD_ATTRS, + LOGGER_FLATTEN_KEYS, +) +from ray._private.ray_constants import LOGGER_FORMAT +from typing import Any, Dict + + +def _append_flatten_attributes(formatted_attrs: Dict[str, Any], key: str, value: Any): + """Flatten the dictionary values for special keys and append the values in place. + + If the key is in `LOGGER_FLATTEN_KEYS`, the value will be flattened and appended + to the `formatted_attrs` dictionary. Otherwise, the key-value pair will be appended + directly. + """ + if key in LOGGER_FLATTEN_KEYS: + if not isinstance(value, dict): + raise ValueError( + f"Expected a dictionary passing into {key}, but got {type(value)}" + ) + for k, v in value.items(): + if k in formatted_attrs: + raise KeyError(f"Found duplicated key in the log record: {k}") + formatted_attrs[k] = v + else: + formatted_attrs[key] = value + + +def generate_record_format_attrs( + formatter: logging.Formatter, + record: logging.LogRecord, + exclude_standard_attrs, +) -> dict: + record_format_attrs = {} + + # If `exclude_standard_attrs` is False, include the standard attributes. + # Otherwise, include only Ray and user-provided context. + if not exclude_standard_attrs: + record_format_attrs.update( + { + LogKey.ASCTIME.value: formatter.formatTime(record), + LogKey.LEVELNAME.value: record.levelname, + LogKey.MESSAGE.value: record.getMessage(), + LogKey.FILENAME.value: record.filename, + LogKey.LINENO.value: record.lineno, + } + ) + if record.exc_info: + if not record.exc_text: + record.exc_text = formatter.formatException(record.exc_info) + record_format_attrs[LogKey.EXC_TEXT.value] = record.exc_text + + for key, value in record.__dict__.items(): + # Both Ray and user-provided context are stored in `record_format`. + if key not in LOGRECORD_STANDARD_ATTRS: + _append_flatten_attributes(record_format_attrs, key, value) + + # Format the internal timestamp to the standardized `timestamp_ns` key. + if INTERNAL_TIMESTAMP_LOG_KEY in record_format_attrs: + record_format_attrs[LogKey.TIMESTAMP_NS.value] = record_format_attrs.pop( + INTERNAL_TIMESTAMP_LOG_KEY + ) + + return record_format_attrs + + +class JSONFormatter(logging.Formatter): + def format(self, record): + record_format_attrs = generate_record_format_attrs( + self, record, exclude_standard_attrs=False + ) + return json.dumps(record_format_attrs) + + +class TextFormatter(logging.Formatter): + def __init__(self) -> None: + self._inner_formatter = logging.Formatter(LOGGER_FORMAT) + + def format(self, record: logging.LogRecord) -> str: + s = self._inner_formatter.format(record) + record_format_attrs = generate_record_format_attrs( + self, record, exclude_standard_attrs=True + ) + + additional_attrs = " ".join( + [f"{key}={value}" for key, value in record_format_attrs.items()] + ) + return f"{s} {additional_attrs}" diff --git a/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/logging_config.py b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/logging_config.py new file mode 100644 index 0000000000000000000000000000000000000000..3318c19afabbe3be3536b735cb94423324026541 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/ray_logging/logging_config.py @@ -0,0 +1,112 @@ +from abc import ABC, abstractmethod +from typing import Set + +from ray._private.ray_logging import default_impl +from ray._private.ray_logging.formatters import TextFormatter +from ray._private.ray_logging.filters import CoreContextFilter +from ray.util.annotations import PublicAPI + +from dataclasses import dataclass + +import logging + + +class LoggingConfigurator(ABC): + @abstractmethod + def get_supported_encodings(self) -> Set[str]: + raise NotImplementedError + + @abstractmethod + def configure_logging(self, encoding: str, log_level: str): + raise NotImplementedError + + +class DefaultLoggingConfigurator(LoggingConfigurator): + def __init__(self): + self._encoding_to_formatter = { + "TEXT": TextFormatter(), + } + + def get_supported_encodings(self) -> Set[str]: + return self._encoding_to_formatter.keys() + + def configure_logging(self, encoding: str, log_level: str): + formatter = self._encoding_to_formatter[encoding] + core_context_filter = CoreContextFilter() + handler = logging.StreamHandler() + handler.setLevel(log_level) + handler.setFormatter(formatter) + handler.addFilter(core_context_filter) + + root_logger = logging.getLogger() + root_logger.setLevel(log_level) + root_logger.addHandler(handler) + + ray_logger = logging.getLogger("ray") + ray_logger.setLevel(log_level) + # Remove all existing handlers added by `ray/__init__.py`. + for h in ray_logger.handlers[:]: + ray_logger.removeHandler(h) + ray_logger.addHandler(handler) + ray_logger.propagate = False + + +_logging_configurator: LoggingConfigurator = default_impl.get_logging_configurator() + + +@PublicAPI(stability="alpha") +@dataclass +class LoggingConfig: + encoding: str = "TEXT" + log_level: str = "INFO" + + def __post_init__(self): + if self.encoding not in _logging_configurator.get_supported_encodings(): + raise ValueError( + f"Invalid encoding type: {self.encoding}. " + "Valid encoding types are: " + f"{list(_logging_configurator.get_supported_encodings())}" + ) + + def _configure_logging(self): + """Set up the logging configuration for the current process.""" + _logging_configurator.configure_logging(self.encoding, self.log_level) + + def _apply(self): + """Set up the logging configuration.""" + self._configure_logging() + + +LoggingConfig.__doc__ = f""" + Logging configuration for a Ray job. These configurations are used to set up the + root logger of the driver process and all Ray tasks and actor processes that belong + to the job. + + Examples: + .. testcode:: + + import ray + import logging + + ray.init( + logging_config=ray.LoggingConfig(encoding="TEXT", log_level="INFO") + ) + + @ray.remote + def f(): + logger = logging.getLogger(__name__) + logger.info("This is a Ray task") + + ray.get(f.remote()) + + .. testoutput:: + :options: +MOCK + + 2024-06-03 07:53:50,815 INFO test.py:11 -- This is a Ray task job_id=01000000 worker_id=0dbbbd0f17d5343bbeee8228fa5ff675fe442445a1bc06ec899120a8 node_id=577706f1040ea8ebd76f7cf5a32338d79fe442e01455b9e7110cddfc task_id=c8ef45ccd0112571ffffffffffffffffffffffff01000000 + + Args: + encoding: Encoding type for the logs. The valid values are + {list(_logging_configurator.get_supported_encodings())} + log_level: Log level for the logs. Defaults to 'INFO'. You can set + it to 'DEBUG' to receive more detailed debug logs. + """ # noqa: E501 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/INSTALLER b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/LICENSE b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..f26bcf4d2de6eb136e31006ca3ab447d5e488adf --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/LICENSE @@ -0,0 +1,279 @@ +A. HISTORY OF THE SOFTWARE +========================== + +Python was created in the early 1990s by Guido van Rossum at Stichting +Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands +as a successor of a language called ABC. Guido remains Python's +principal author, although it includes many contributions from others. + +In 1995, Guido continued his work on Python at the Corporation for +National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) +in Reston, Virginia where he released several versions of the +software. + +In May 2000, Guido and the Python core development team moved to +BeOpen.com to form the BeOpen PythonLabs team. In October of the same +year, the PythonLabs team moved to Digital Creations, which became +Zope Corporation. In 2001, the Python Software Foundation (PSF, see +https://www.python.org/psf/) was formed, a non-profit organization +created specifically to own Python-related Intellectual Property. +Zope Corporation was a sponsoring member of the PSF. + +All Python releases are Open Source (see https://opensource.org for +the Open Source Definition). Historically, most, but not all, Python +releases have also been GPL-compatible; the table below summarizes +the various releases. + + Release Derived Year Owner GPL- + from compatible? (1) + + 0.9.0 thru 1.2 1991-1995 CWI yes + 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes + 1.6 1.5.2 2000 CNRI no + 2.0 1.6 2000 BeOpen.com no + 1.6.1 1.6 2001 CNRI yes (2) + 2.1 2.0+1.6.1 2001 PSF no + 2.0.1 2.0+1.6.1 2001 PSF yes + 2.1.1 2.1+2.0.1 2001 PSF yes + 2.1.2 2.1.1 2002 PSF yes + 2.1.3 2.1.2 2002 PSF yes + 2.2 and above 2.1.1 2001-now PSF yes + +Footnotes: + +(1) GPL-compatible doesn't mean that we're distributing Python under + the GPL. All Python licenses, unlike the GPL, let you distribute + a modified version without making your changes open source. The + GPL-compatible licenses make it possible to combine Python with + other software that is released under the GPL; the others don't. + +(2) According to Richard Stallman, 1.6.1 is not GPL-compatible, + because its license has a choice of law clause. According to + CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 + is "not incompatible" with the GPL. + +Thanks to the many outside volunteers who have worked under Guido's +direction to make these releases possible. + + +B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON +=============================================================== + +Python software and documentation are licensed under the +Python Software Foundation License Version 2. + +Starting with Python 3.8.6, examples, recipes, and other code in +the documentation are dual licensed under the PSF License Version 2 +and the Zero-Clause BSD license. + +Some software incorporated into Python is under different licenses. +The licenses are listed with code falling under that license. + + +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby +grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, +analyze, test, perform and/or display publicly, prepare derivative works, +distribute, and otherwise use Python alone or in any derivative version, +provided, however, that PSF's License Agreement and PSF's notice of copyright, +i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, +2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; +All Rights Reserved" are retained in Python alone or in any derivative version +prepared by Licensee. + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python. + +4. PSF is making Python available to Licensee on an "AS IS" +basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. Nothing in this License Agreement shall be deemed to create any +relationship of agency, partnership, or joint venture between PSF and +Licensee. This License Agreement does not grant permission to use PSF +trademarks or trade name in a trademark sense to endorse or promote +products or services of Licensee, or any third party. + +8. By copying, installing or otherwise using Python, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0 +------------------------------------------- + +BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1 + +1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an +office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the +Individual or Organization ("Licensee") accessing and otherwise using +this software in source or binary form and its associated +documentation ("the Software"). + +2. Subject to the terms and conditions of this BeOpen Python License +Agreement, BeOpen hereby grants Licensee a non-exclusive, +royalty-free, world-wide license to reproduce, analyze, test, perform +and/or display publicly, prepare derivative works, distribute, and +otherwise use the Software alone or in any derivative version, +provided, however, that the BeOpen Python License is retained in the +Software, alone or in any derivative version prepared by Licensee. + +3. BeOpen is making the Software available to Licensee on an "AS IS" +basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE +SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS +AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY +DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +5. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +6. This License Agreement shall be governed by and interpreted in all +respects by the law of the State of California, excluding conflict of +law provisions. Nothing in this License Agreement shall be deemed to +create any relationship of agency, partnership, or joint venture +between BeOpen and Licensee. This License Agreement does not grant +permission to use BeOpen trademarks or trade names in a trademark +sense to endorse or promote products or services of Licensee, or any +third party. As an exception, the "BeOpen Python" logos available at +http://www.pythonlabs.com/logos.html may be used according to the +permissions granted on that web page. + +7. By copying, installing or otherwise using the software, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1 +--------------------------------------- + +1. This LICENSE AGREEMENT is between the Corporation for National +Research Initiatives, having an office at 1895 Preston White Drive, +Reston, VA 20191 ("CNRI"), and the Individual or Organization +("Licensee") accessing and otherwise using Python 1.6.1 software in +source or binary form and its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, CNRI +hereby grants Licensee a nonexclusive, royalty-free, world-wide +license to reproduce, analyze, test, perform and/or display publicly, +prepare derivative works, distribute, and otherwise use Python 1.6.1 +alone or in any derivative version, provided, however, that CNRI's +License Agreement and CNRI's notice of copyright, i.e., "Copyright (c) +1995-2001 Corporation for National Research Initiatives; All Rights +Reserved" are retained in Python 1.6.1 alone or in any derivative +version prepared by Licensee. Alternately, in lieu of CNRI's License +Agreement, Licensee may substitute the following text (omitting the +quotes): "Python 1.6.1 is made available subject to the terms and +conditions in CNRI's License Agreement. This Agreement together with +Python 1.6.1 may be located on the internet using the following +unique, persistent identifier (known as a handle): 1895.22/1013. This +Agreement may also be obtained from a proxy server on the internet +using the following URL: http://hdl.handle.net/1895.22/1013". + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python 1.6.1 or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python 1.6.1. + +4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS" +basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. This License Agreement shall be governed by the federal +intellectual property law of the United States, including without +limitation the federal copyright law, and, to the extent such +U.S. federal law does not apply, by the law of the Commonwealth of +Virginia, excluding Virginia's conflict of law provisions. +Notwithstanding the foregoing, with regard to derivative works based +on Python 1.6.1 that incorporate non-separable material that was +previously distributed under the GNU General Public License (GPL), the +law of the Commonwealth of Virginia shall govern this License +Agreement only as to issues arising under or with respect to +Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this +License Agreement shall be deemed to create any relationship of +agency, partnership, or joint venture between CNRI and Licensee. This +License Agreement does not grant permission to use CNRI trademarks or +trade name in a trademark sense to endorse or promote products or +services of Licensee, or any third party. + +8. By clicking on the "ACCEPT" button where indicated, or by copying, +installing or otherwise using Python 1.6.1, Licensee agrees to be +bound by the terms and conditions of this License Agreement. + + ACCEPT + + +CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2 +-------------------------------------------------- + +Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam, +The Netherlands. All rights reserved. + +Permission to use, copy, modify, and distribute this software and its +documentation for any purpose and without fee is hereby granted, +provided that the above copyright notice appear in all copies and that +both that copyright notice and this permission notice appear in +supporting documentation, and that the name of Stichting Mathematisch +Centrum or CWI not be used in advertising or publicity pertaining to +distribution of the software without specific, written prior +permission. + +STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO +THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND +FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE +FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN +ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT +OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. + +ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION +---------------------------------------------------------------------- + +Permission to use, copy, modify, and/or distribute this software for any +purpose with or without fee is hereby granted. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH +REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY +AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, +INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM +LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR +OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR +PERFORMANCE OF THIS SOFTWARE. diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/METADATA b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..80d83f76783213337cf3cd2aae32d9527e2b4b19 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/aiohappyeyeballs-2.4.4.dist-info/METADATA @@ -0,0 +1,126 @@ +Metadata-Version: 2.1 +Name: aiohappyeyeballs +Version: 2.4.4 +Summary: Happy Eyeballs for asyncio +Home-page: https://github.com/aio-libs/aiohappyeyeballs +License: PSF-2.0 +Author: J. Nick Koston +Author-email: nick@koston.org +Requires-Python: >=3.8 +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: Python Software Foundation License +Classifier: License :: Other/Proprietary License +Classifier: Natural Language :: English +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Topic :: Software Development :: Libraries +Project-URL: Bug Tracker, https://github.com/aio-libs/aiohappyeyeballs/issues +Project-URL: Changelog, https://github.com/aio-libs/aiohappyeyeballs/blob/main/CHANGELOG.md +Project-URL: Documentation, https://aiohappyeyeballs.readthedocs.io +Project-URL: Repository, https://github.com/aio-libs/aiohappyeyeballs +Description-Content-Type: text/markdown + +# aiohappyeyeballs + +

+ + CI Status + + + Documentation Status + + + Test coverage percentage + +

+

+ + Poetry + + + Ruff + + + pre-commit + +

+

+ + PyPI Version + + Supported Python versions + License +

+ +--- + +**Documentation**: https://aiohappyeyeballs.readthedocs.io + +**Source Code**: https://github.com/aio-libs/aiohappyeyeballs + +--- + +[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs) +([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html)) + +## Use case + +This library exists to allow connecting with +[Happy Eyeballs](https://en.wikipedia.org/wiki/Happy_Eyeballs) +([RFC 8305](https://www.rfc-editor.org/rfc/rfc8305.html)) +when you +already have a list of addrinfo and not a DNS name. + +The stdlib version of `loop.create_connection()` +will only work when you pass in an unresolved name which +is not a good fit when using DNS caching or resolving +names via another method such as `zeroconf`. + +## Installation + +Install this via pip (or your favourite package manager): + +`pip install aiohappyeyeballs` + +## License + +[aiohappyeyeballs is licensed under the same terms as cpython itself.](https://github.com/python/cpython/blob/main/LICENSE) + +## Example usage + +```python + +addr_infos = await loop.getaddrinfo("example.org", 80) + +socket = await start_connection(addr_infos) +socket = await start_connection(addr_infos, local_addr_infos=local_addr_infos, happy_eyeballs_delay=0.2) + +transport, protocol = await loop.create_connection( + MyProtocol, sock=socket, ...) + +# Remove the first address for each family from addr_info +pop_addr_infos_interleave(addr_info, 1) + +# Remove all matching address from addr_info +remove_addr_infos(addr_info, "dead::beef::") + +# Convert a local_addr to local_addr_infos +local_addr_infos = addr_to_addr_infos(("127.0.0.1",0)) +``` + +## Credits + +This package contains code from cpython and is licensed under the same terms as cpython itself. + +This package was created with +[Copier](https://copier.readthedocs.io/) and the +[browniebroke/pypackage-template](https://github.com/browniebroke/pypackage-template) +project template. + diff --git 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sha256:b9f7584ed793a219388b2a29d569aa8e1dcac9bf86768b5ef9327ffa19f175ce +size 105734 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..cfdc030a751b089fc7e38fc88093b791605d501d --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__init__.py @@ -0,0 +1,45 @@ +from .core import ( + IDNABidiError, + IDNAError, + InvalidCodepoint, + InvalidCodepointContext, + alabel, + check_bidi, + check_hyphen_ok, + check_initial_combiner, + check_label, + check_nfc, + decode, + encode, + ulabel, + uts46_remap, + valid_contextj, + valid_contexto, + valid_label_length, + valid_string_length, +) +from .intranges import intranges_contain +from .package_data import __version__ + +__all__ = [ + "__version__", + "IDNABidiError", + "IDNAError", + "InvalidCodepoint", + "InvalidCodepointContext", + "alabel", + "check_bidi", + "check_hyphen_ok", + "check_initial_combiner", + "check_label", + "check_nfc", + "decode", + "encode", + "intranges_contain", + "ulabel", + "uts46_remap", + "valid_contextj", + "valid_contexto", + "valid_label_length", + "valid_string_length", +] diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__pycache__/__init__.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..407d2f70df4ed3867f29e18630ed9983889b8cf3 Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/__pycache__/__init__.cpython-311.pyc differ diff --git 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b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/codec.py new file mode 100644 index 0000000000000000000000000000000000000000..913abfd6a23ce547f84de2adc41221012f1007d6 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/codec.py @@ -0,0 +1,122 @@ +import codecs +import re +from typing import Any, Optional, Tuple + +from .core import IDNAError, alabel, decode, encode, ulabel + +_unicode_dots_re = re.compile("[\u002e\u3002\uff0e\uff61]") + + +class Codec(codecs.Codec): + def encode(self, data: str, errors: str = "strict") -> Tuple[bytes, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return b"", 0 + + return encode(data), len(data) + + def decode(self, data: bytes, errors: str = "strict") -> Tuple[str, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return "", 0 + + return decode(data), len(data) + + +class IncrementalEncoder(codecs.BufferedIncrementalEncoder): + def _buffer_encode(self, data: str, errors: str, final: bool) -> Tuple[bytes, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return b"", 0 + + labels = _unicode_dots_re.split(data) + trailing_dot = b"" + if labels: + if not labels[-1]: + trailing_dot = b"." + del labels[-1] + elif not final: + # Keep potentially unfinished label until the next call + del labels[-1] + if labels: + trailing_dot = b"." + + result = [] + size = 0 + for label in labels: + result.append(alabel(label)) + if size: + size += 1 + size += len(label) + + # Join with U+002E + result_bytes = b".".join(result) + trailing_dot + size += len(trailing_dot) + return result_bytes, size + + +class IncrementalDecoder(codecs.BufferedIncrementalDecoder): + def _buffer_decode(self, data: Any, errors: str, final: bool) -> Tuple[str, int]: + if errors != "strict": + raise IDNAError('Unsupported error handling "{}"'.format(errors)) + + if not data: + return ("", 0) + + if not isinstance(data, str): + data = str(data, "ascii") + + labels = _unicode_dots_re.split(data) + trailing_dot = "" + if labels: + if not labels[-1]: + trailing_dot = "." + del labels[-1] + elif not final: + # Keep potentially unfinished label until the next call + del labels[-1] + if labels: + trailing_dot = "." + + result = [] + size = 0 + for label in labels: + result.append(ulabel(label)) + if size: + size += 1 + size += len(label) + + result_str = ".".join(result) + trailing_dot + size += len(trailing_dot) + return (result_str, size) + + +class StreamWriter(Codec, codecs.StreamWriter): + pass + + +class StreamReader(Codec, codecs.StreamReader): + pass + + +def search_function(name: str) -> Optional[codecs.CodecInfo]: + if name != "idna2008": + return None + return codecs.CodecInfo( + name=name, + encode=Codec().encode, + decode=Codec().decode, + incrementalencoder=IncrementalEncoder, + incrementaldecoder=IncrementalDecoder, + streamwriter=StreamWriter, + streamreader=StreamReader, + ) + + +codecs.register(search_function) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/compat.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/compat.py new file mode 100644 index 0000000000000000000000000000000000000000..1df9f2a70e6815908f2784e88897a9a359eef84c --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/compat.py @@ -0,0 +1,15 @@ +from typing import Any, Union + +from .core import decode, encode + + +def ToASCII(label: str) -> bytes: + return encode(label) + + +def ToUnicode(label: Union[bytes, bytearray]) -> str: + return decode(label) + + +def nameprep(s: Any) -> None: + raise NotImplementedError("IDNA 2008 does not utilise nameprep protocol") diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/core.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/core.py new file mode 100644 index 0000000000000000000000000000000000000000..9115f123f0274832af5ba1cf3c5481cc5353eecd --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/core.py @@ -0,0 +1,437 @@ +import bisect +import re +import unicodedata +from typing import Optional, Union + +from . import idnadata +from .intranges import intranges_contain + +_virama_combining_class = 9 +_alabel_prefix = b"xn--" +_unicode_dots_re = re.compile("[\u002e\u3002\uff0e\uff61]") + + +class IDNAError(UnicodeError): + """Base exception for all IDNA-encoding related problems""" + + pass + + +class IDNABidiError(IDNAError): + """Exception when bidirectional requirements are not satisfied""" + + pass + + +class InvalidCodepoint(IDNAError): + """Exception when a disallowed or unallocated codepoint is used""" + + pass + + +class InvalidCodepointContext(IDNAError): + """Exception when the codepoint is not valid in the context it is used""" + + pass + + +def _combining_class(cp: int) -> int: + v = unicodedata.combining(chr(cp)) + if v == 0: + if not unicodedata.name(chr(cp)): + raise ValueError("Unknown character in unicodedata") + return v + + +def _is_script(cp: str, script: str) -> bool: + return intranges_contain(ord(cp), idnadata.scripts[script]) + + +def _punycode(s: str) -> bytes: + return s.encode("punycode") + + +def _unot(s: int) -> str: + return "U+{:04X}".format(s) + + +def valid_label_length(label: Union[bytes, str]) -> bool: + if len(label) > 63: + return False + return True + + +def valid_string_length(label: Union[bytes, str], trailing_dot: bool) -> bool: + if len(label) > (254 if trailing_dot else 253): + return False + return True + + +def check_bidi(label: str, check_ltr: bool = False) -> bool: + # Bidi rules should only be applied if string contains RTL characters + bidi_label = False + for idx, cp in enumerate(label, 1): + direction = unicodedata.bidirectional(cp) + if direction == "": + # String likely comes from a newer version of Unicode + raise IDNABidiError("Unknown directionality in label {} at position {}".format(repr(label), idx)) + if direction in ["R", "AL", "AN"]: + bidi_label = True + if not bidi_label and not check_ltr: + return True + + # Bidi rule 1 + direction = unicodedata.bidirectional(label[0]) + if direction in ["R", "AL"]: + rtl = True + elif direction == "L": + rtl = False + else: + raise IDNABidiError("First codepoint in label {} must be directionality L, R or AL".format(repr(label))) + + valid_ending = False + number_type: Optional[str] = None + for idx, cp in enumerate(label, 1): + direction = unicodedata.bidirectional(cp) + + if rtl: + # Bidi rule 2 + if direction not in [ + "R", + "AL", + "AN", + "EN", + "ES", + "CS", + "ET", + "ON", + "BN", + "NSM", + ]: + raise IDNABidiError("Invalid direction for codepoint at position {} in a right-to-left label".format(idx)) + # Bidi rule 3 + if direction in ["R", "AL", "EN", "AN"]: + valid_ending = True + elif direction != "NSM": + valid_ending = False + # Bidi rule 4 + if direction in ["AN", "EN"]: + if not number_type: + number_type = direction + else: + if number_type != direction: + raise IDNABidiError("Can not mix numeral types in a right-to-left label") + else: + # Bidi rule 5 + if direction not in ["L", "EN", "ES", "CS", "ET", "ON", "BN", "NSM"]: + raise IDNABidiError("Invalid direction for codepoint at position {} in a left-to-right label".format(idx)) + # Bidi rule 6 + if direction in ["L", "EN"]: + valid_ending = True + elif direction != "NSM": + valid_ending = False + + if not valid_ending: + raise IDNABidiError("Label ends with illegal codepoint directionality") + + return True + + +def check_initial_combiner(label: str) -> bool: + if unicodedata.category(label[0])[0] == "M": + raise IDNAError("Label begins with an illegal combining character") + return True + + +def check_hyphen_ok(label: str) -> bool: + if label[2:4] == "--": + raise IDNAError("Label has disallowed hyphens in 3rd and 4th position") + if label[0] == "-" or label[-1] == "-": + raise IDNAError("Label must not start or end with a hyphen") + return True + + +def check_nfc(label: str) -> None: + if unicodedata.normalize("NFC", label) != label: + raise IDNAError("Label must be in Normalization Form C") + + +def valid_contextj(label: str, pos: int) -> bool: + cp_value = ord(label[pos]) + + if cp_value == 0x200C: + if pos > 0: + if _combining_class(ord(label[pos - 1])) == _virama_combining_class: + return True + + ok = False + for i in range(pos - 1, -1, -1): + joining_type = idnadata.joining_types.get(ord(label[i])) + if joining_type == ord("T"): + continue + elif joining_type in [ord("L"), ord("D")]: + ok = True + break + else: + break + + if not ok: + return False + + ok = False + for i in range(pos + 1, len(label)): + joining_type = idnadata.joining_types.get(ord(label[i])) + if joining_type == ord("T"): + continue + elif joining_type in [ord("R"), ord("D")]: + ok = True + break + else: + break + return ok + + if cp_value == 0x200D: + if pos > 0: + if _combining_class(ord(label[pos - 1])) == _virama_combining_class: + return True + return False + + else: + return False + + +def valid_contexto(label: str, pos: int, exception: bool = False) -> bool: + cp_value = ord(label[pos]) + + if cp_value == 0x00B7: + if 0 < pos < len(label) - 1: + if ord(label[pos - 1]) == 0x006C and ord(label[pos + 1]) == 0x006C: + return True + return False + + elif cp_value == 0x0375: + if pos < len(label) - 1 and len(label) > 1: + return _is_script(label[pos + 1], "Greek") + return False + + elif cp_value == 0x05F3 or cp_value == 0x05F4: + if pos > 0: + return _is_script(label[pos - 1], "Hebrew") + return False + + elif cp_value == 0x30FB: + for cp in label: + if cp == "\u30fb": + continue + if _is_script(cp, "Hiragana") or _is_script(cp, "Katakana") or _is_script(cp, "Han"): + return True + return False + + elif 0x660 <= cp_value <= 0x669: + for cp in label: + if 0x6F0 <= ord(cp) <= 0x06F9: + return False + return True + + elif 0x6F0 <= cp_value <= 0x6F9: + for cp in label: + if 0x660 <= ord(cp) <= 0x0669: + return False + return True + + return False + + +def check_label(label: Union[str, bytes, bytearray]) -> None: + if isinstance(label, (bytes, bytearray)): + label = label.decode("utf-8") + if len(label) == 0: + raise IDNAError("Empty Label") + + check_nfc(label) + check_hyphen_ok(label) + check_initial_combiner(label) + + for pos, cp in enumerate(label): + cp_value = ord(cp) + if intranges_contain(cp_value, idnadata.codepoint_classes["PVALID"]): + continue + elif intranges_contain(cp_value, idnadata.codepoint_classes["CONTEXTJ"]): + try: + if not valid_contextj(label, pos): + raise InvalidCodepointContext( + "Joiner {} not allowed at position {} in {}".format(_unot(cp_value), pos + 1, repr(label)) + ) + except ValueError: + raise IDNAError( + "Unknown codepoint adjacent to joiner {} at position {} in {}".format( + _unot(cp_value), pos + 1, repr(label) + ) + ) + elif intranges_contain(cp_value, idnadata.codepoint_classes["CONTEXTO"]): + if not valid_contexto(label, pos): + raise InvalidCodepointContext( + "Codepoint {} not allowed at position {} in {}".format(_unot(cp_value), pos + 1, repr(label)) + ) + else: + raise InvalidCodepoint( + "Codepoint {} at position {} of {} not allowed".format(_unot(cp_value), pos + 1, repr(label)) + ) + + check_bidi(label) + + +def alabel(label: str) -> bytes: + try: + label_bytes = label.encode("ascii") + ulabel(label_bytes) + if not valid_label_length(label_bytes): + raise IDNAError("Label too long") + return label_bytes + except UnicodeEncodeError: + pass + + check_label(label) + label_bytes = _alabel_prefix + _punycode(label) + + if not valid_label_length(label_bytes): + raise IDNAError("Label too long") + + return label_bytes + + +def ulabel(label: Union[str, bytes, bytearray]) -> str: + if not isinstance(label, (bytes, bytearray)): + try: + label_bytes = label.encode("ascii") + except UnicodeEncodeError: + check_label(label) + return label + else: + label_bytes = label + + label_bytes = label_bytes.lower() + if label_bytes.startswith(_alabel_prefix): + label_bytes = label_bytes[len(_alabel_prefix) :] + if not label_bytes: + raise IDNAError("Malformed A-label, no Punycode eligible content found") + if label_bytes.decode("ascii")[-1] == "-": + raise IDNAError("A-label must not end with a hyphen") + else: + check_label(label_bytes) + return label_bytes.decode("ascii") + + try: + label = label_bytes.decode("punycode") + except UnicodeError: + raise IDNAError("Invalid A-label") + check_label(label) + return label + + +def uts46_remap(domain: str, std3_rules: bool = True, transitional: bool = False) -> str: + """Re-map the characters in the string according to UTS46 processing.""" + from .uts46data import uts46data + + output = "" + + for pos, char in enumerate(domain): + code_point = ord(char) + try: + uts46row = uts46data[code_point if code_point < 256 else bisect.bisect_left(uts46data, (code_point, "Z")) - 1] + status = uts46row[1] + replacement: Optional[str] = None + if len(uts46row) == 3: + replacement = uts46row[2] + if ( + status == "V" + or (status == "D" and not transitional) + or (status == "3" and not std3_rules and replacement is None) + ): + output += char + elif replacement is not None and ( + status == "M" or (status == "3" and not std3_rules) or (status == "D" and transitional) + ): + output += replacement + elif status != "I": + raise IndexError() + except IndexError: + raise InvalidCodepoint( + "Codepoint {} not allowed at position {} in {}".format(_unot(code_point), pos + 1, repr(domain)) + ) + + return unicodedata.normalize("NFC", output) + + +def encode( + s: Union[str, bytes, bytearray], + strict: bool = False, + uts46: bool = False, + std3_rules: bool = False, + transitional: bool = False, +) -> bytes: + if not isinstance(s, str): + try: + s = str(s, "ascii") + except UnicodeDecodeError: + raise IDNAError("should pass a unicode string to the function rather than a byte string.") + if uts46: + s = uts46_remap(s, std3_rules, transitional) + trailing_dot = False + result = [] + if strict: + labels = s.split(".") + else: + labels = _unicode_dots_re.split(s) + if not labels or labels == [""]: + raise IDNAError("Empty domain") + if labels[-1] == "": + del labels[-1] + trailing_dot = True + for label in labels: + s = alabel(label) + if s: + result.append(s) + else: + raise IDNAError("Empty label") + if trailing_dot: + result.append(b"") + s = b".".join(result) + if not valid_string_length(s, trailing_dot): + raise IDNAError("Domain too long") + return s + + +def decode( + s: Union[str, bytes, bytearray], + strict: bool = False, + uts46: bool = False, + std3_rules: bool = False, +) -> str: + try: + if not isinstance(s, str): + s = str(s, "ascii") + except UnicodeDecodeError: + raise IDNAError("Invalid ASCII in A-label") + if uts46: + s = uts46_remap(s, std3_rules, False) + trailing_dot = False + result = [] + if not strict: + labels = _unicode_dots_re.split(s) + else: + labels = s.split(".") + if not labels or labels == [""]: + raise IDNAError("Empty domain") + if not labels[-1]: + del labels[-1] + trailing_dot = True + for label in labels: + s = ulabel(label) + if s: + result.append(s) + else: + raise IDNAError("Empty label") + if trailing_dot: + result.append("") + return ".".join(result) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/idnadata.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/idnadata.py new file mode 100644 index 0000000000000000000000000000000000000000..4be6004622efcdc36a8d15efc0ac3e138a4bae02 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/idnadata.py @@ -0,0 +1,4243 @@ +# This file is automatically generated by tools/idna-data + +__version__ = "15.1.0" +scripts = { + "Greek": ( + 0x37000000374, + 0x37500000378, + 0x37A0000037E, + 0x37F00000380, + 0x38400000385, + 0x38600000387, + 0x3880000038B, + 0x38C0000038D, + 0x38E000003A2, + 0x3A3000003E2, + 0x3F000000400, + 0x1D2600001D2B, + 0x1D5D00001D62, + 0x1D6600001D6B, + 0x1DBF00001DC0, + 0x1F0000001F16, + 0x1F1800001F1E, + 0x1F2000001F46, + 0x1F4800001F4E, + 0x1F5000001F58, + 0x1F5900001F5A, + 0x1F5B00001F5C, + 0x1F5D00001F5E, + 0x1F5F00001F7E, + 0x1F8000001FB5, + 0x1FB600001FC5, + 0x1FC600001FD4, + 0x1FD600001FDC, + 0x1FDD00001FF0, + 0x1FF200001FF5, + 0x1FF600001FFF, + 0x212600002127, + 0xAB650000AB66, + 0x101400001018F, + 0x101A0000101A1, + 0x1D2000001D246, + ), + "Han": ( + 0x2E8000002E9A, + 0x2E9B00002EF4, + 0x2F0000002FD6, + 0x300500003006, + 0x300700003008, + 0x30210000302A, + 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0x6600000066A, + 0x6F0000006FA, + 0x30FB000030FC, + ), +} diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/intranges.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/intranges.py new file mode 100644 index 0000000000000000000000000000000000000000..7bfaa8d80d7dc471d572db0f949460901126e8bd --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/intranges.py @@ -0,0 +1,57 @@ +""" +Given a list of integers, made up of (hopefully) a small number of long runs +of consecutive integers, compute a representation of the form +((start1, end1), (start2, end2) ...). Then answer the question "was x present +in the original list?" in time O(log(# runs)). +""" + +import bisect +from typing import List, Tuple + + +def intranges_from_list(list_: List[int]) -> Tuple[int, ...]: + """Represent a list of integers as a sequence of ranges: + ((start_0, end_0), (start_1, end_1), ...), such that the original + integers are exactly those x such that start_i <= x < end_i for some i. + + Ranges are encoded as single integers (start << 32 | end), not as tuples. + """ + + sorted_list = sorted(list_) + ranges = [] + last_write = -1 + for i in range(len(sorted_list)): + if i + 1 < len(sorted_list): + if sorted_list[i] == sorted_list[i + 1] - 1: + continue + current_range = sorted_list[last_write + 1 : i + 1] + ranges.append(_encode_range(current_range[0], current_range[-1] + 1)) + last_write = i + + return tuple(ranges) + + +def _encode_range(start: int, end: int) -> int: + return (start << 32) | end + + +def _decode_range(r: int) -> Tuple[int, int]: + return (r >> 32), (r & ((1 << 32) - 1)) + + +def intranges_contain(int_: int, ranges: Tuple[int, ...]) -> bool: + """Determine if `int_` falls into one of the ranges in `ranges`.""" + tuple_ = _encode_range(int_, 0) + pos = bisect.bisect_left(ranges, tuple_) + # we could be immediately ahead of a tuple (start, end) + # with start < int_ <= end + if pos > 0: + left, right = _decode_range(ranges[pos - 1]) + if left <= int_ < right: + return True + # or we could be immediately behind a tuple (int_, end) + if pos < len(ranges): + left, _ = _decode_range(ranges[pos]) + if left == int_: + return True + return False diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/package_data.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/package_data.py new file mode 100644 index 0000000000000000000000000000000000000000..514ff7e2e68b65f309d30a0b06e6b290d2c353a8 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/package_data.py @@ -0,0 +1 @@ +__version__ = "3.10" diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/py.typed b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/uts46data.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/uts46data.py new file mode 100644 index 0000000000000000000000000000000000000000..eb894327410debecb64ddf40eddc3131cf8344de --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/idna/uts46data.py @@ -0,0 +1,8681 @@ +# This file is automatically generated by tools/idna-data +# vim: set 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str], Tuple[int, str, str]], ...] diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/INSTALLER b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/LICENSE b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..8727172ae058e56805bd8ed0f988b6788711dcfd --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/LICENSE @@ -0,0 +1,13 @@ + Copyright 2016 Andrew Svetlov and aio-libs contributors + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/METADATA b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..93f85177b97ec6be66b1ed74fc74cac756d1f72f --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/METADATA @@ -0,0 +1,140 @@ +Metadata-Version: 2.1 +Name: multidict +Version: 6.1.0 +Summary: multidict implementation +Home-page: https://github.com/aio-libs/multidict +Author: Andrew Svetlov +Author-email: andrew.svetlov@gmail.com +License: Apache 2 +Project-URL: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org +Project-URL: Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org +Project-URL: CI: GitHub, https://github.com/aio-libs/multidict/actions +Project-URL: Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md +Project-URL: Coverage: codecov, https://codecov.io/github/aio-libs/multidict +Project-URL: Docs: Changelog, https://multidict.aio-libs.org/en/latest/changes/ +Project-URL: Docs: RTD, https://multidict.aio-libs.org +Project-URL: GitHub: issues, https://github.com/aio-libs/multidict/issues +Project-URL: GitHub: repo, https://github.com/aio-libs/multidict +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: Apache Software License +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Requires-Python: >=3.8 +Description-Content-Type: text/x-rst +License-File: LICENSE +Requires-Dist: typing-extensions >=4.1.0 ; python_version < "3.11" + +========= +multidict +========= + +.. image:: https://github.com/aio-libs/multidict/actions/workflows/ci-cd.yml/badge.svg + :target: https://github.com/aio-libs/multidict/actions + :alt: GitHub status for master branch + +.. image:: https://codecov.io/gh/aio-libs/multidict/branch/master/graph/badge.svg + :target: https://codecov.io/gh/aio-libs/multidict + :alt: Coverage metrics + +.. image:: https://img.shields.io/pypi/v/multidict.svg + :target: https://pypi.org/project/multidict + :alt: PyPI + +.. image:: https://readthedocs.org/projects/multidict/badge/?version=latest + :target: https://multidict.aio-libs.org + :alt: Read The Docs build status badge + +.. image:: https://img.shields.io/pypi/pyversions/multidict.svg + :target: https://pypi.org/project/multidict + :alt: Python versions + +.. image:: https://img.shields.io/matrix/aio-libs:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat + :target: https://matrix.to/#/%23aio-libs:matrix.org + :alt: Matrix Room — #aio-libs:matrix.org + +.. image:: https://img.shields.io/matrix/aio-libs-space:matrix.org?label=Discuss%20on%20Matrix%20at%20%23aio-libs-space%3Amatrix.org&logo=matrix&server_fqdn=matrix.org&style=flat + :target: https://matrix.to/#/%23aio-libs-space:matrix.org + :alt: Matrix Space — #aio-libs-space:matrix.org + +Multidict is dict-like collection of *key-value pairs* where key +might occur more than once in the container. + +Introduction +------------ + +*HTTP Headers* and *URL query string* require specific data structure: +*multidict*. It behaves mostly like a regular ``dict`` but it may have +several *values* for the same *key* and *preserves insertion ordering*. + +The *key* is ``str`` (or ``istr`` for case-insensitive dictionaries). + +``multidict`` has four multidict classes: +``MultiDict``, ``MultiDictProxy``, ``CIMultiDict`` +and ``CIMultiDictProxy``. + +Immutable proxies (``MultiDictProxy`` and +``CIMultiDictProxy``) provide a dynamic view for the +proxied multidict, the view reflects underlying collection changes. They +implement the ``collections.abc.Mapping`` interface. + +Regular mutable (``MultiDict`` and ``CIMultiDict``) classes +implement ``collections.abc.MutableMapping`` and allows them to change +their own content. + + +*Case insensitive* (``CIMultiDict`` and +``CIMultiDictProxy``) assume the *keys* are case +insensitive, e.g.:: + + >>> dct = CIMultiDict(key='val') + >>> 'Key' in dct + True + >>> dct['Key'] + 'val' + +*Keys* should be ``str`` or ``istr`` instances. + +The library has optional C Extensions for speed. + + +License +------- + +Apache 2 + +Library Installation +-------------------- + +.. code-block:: bash + + $ pip install multidict + +The library is Python 3 only! + +PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install +``multidict`` on another operating system (or *Alpine Linux* inside a Docker) the +tarball will be used to compile the library from source. It requires a C compiler and +Python headers to be installed. + +To skip the compilation, please use the `MULTIDICT_NO_EXTENSIONS` environment variable, +e.g.: + +.. code-block:: bash + + $ MULTIDICT_NO_EXTENSIONS=1 pip install multidict + +Please note, the pure Python (uncompiled) version is about 20-50 times slower depending on +the usage scenario!!! + + + +Changelog +--------- +See `RTD page `_. diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/RECORD b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..5b7644adc1227ca1900edd831f899cbdf2f3dd0f --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/RECORD @@ -0,0 +1,19 @@ +multidict-6.1.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +multidict-6.1.0.dist-info/LICENSE,sha256=k9Ealo4vDzY3PECBH_bSDhc_WMPKtYhM1mF7v9eVSSo,611 +multidict-6.1.0.dist-info/METADATA,sha256=OnCx5DR4XPf64GIDK4XmcA2e7HLQ_784vMfEQy287kM,4979 +multidict-6.1.0.dist-info/RECORD,, +multidict-6.1.0.dist-info/WHEEL,sha256=1pYTe4_OeXMoiAzbCCjVEUIQIlCH_vOwKRWEjMaDcV0,151 +multidict-6.1.0.dist-info/top_level.txt,sha256=-euDElkk5_qkmfIJ7WiqCab02ZlSFZWynejKg59qZQQ,10 +multidict/__init__.py,sha256=p60Ag5UVACSli1txazSi85foCmHN-cg3qZDCuWdOKng,928 +multidict/__init__.pyi,sha256=SbgC2ew1NvNXWlRKs9o0KhW4moozgMqgQ0OA4Re5JQQ,4840 +multidict/__pycache__/__init__.cpython-311.pyc,, +multidict/__pycache__/_abc.cpython-311.pyc,, +multidict/__pycache__/_compat.cpython-311.pyc,, +multidict/__pycache__/_multidict_base.cpython-311.pyc,, +multidict/__pycache__/_multidict_py.cpython-311.pyc,, +multidict/_abc.py,sha256=Zvnrn4SBkrv4QTD7-ZzqNcoxw0f8KStLMPzGvBuGT2w,1190 +multidict/_compat.py,sha256=uCNUpVHJSFOiKUJmRcz3SDqMpkb37C_csc29ijr8Evo,352 +multidict/_multidict.cpython-311-x86_64-linux-gnu.so,sha256=SUGf_kAmhQxhn861-jiCa0e51oNCqlgThx6k3IOgwqs,410592 +multidict/_multidict_base.py,sha256=ZndtnZ5oc1sODKmXsv6F9kWvVNCda9xAEEFXkaPoFoA,3979 +multidict/_multidict_py.py,sha256=57h4sYrRIu7EjMX4YpHVIZVrV9-q1KCW3F6rao10D3U,15050 +multidict/py.typed,sha256=e9bmbH3UFxsabQrnNFPG9qxIXztwbcM6IKDYnvZwprY,15 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/WHEEL b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..bc22ea614653cbfcb3cc649e9754018c488d5651 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/WHEEL @@ -0,0 +1,6 @@ +Wheel-Version: 1.0 +Generator: setuptools (74.1.2) +Root-Is-Purelib: false +Tag: cp311-cp311-manylinux_2_17_x86_64 +Tag: cp311-cp311-manylinux2014_x86_64 + diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/top_level.txt b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..afcecdff08229f3faf1ecef41cf814c26c207f5c --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/multidict-6.1.0.dist-info/top_level.txt @@ -0,0 +1 @@ +multidict diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..abf4a57b6f33bf71109131166cf57242f5c09663 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__init__.py @@ -0,0 +1,32 @@ +"""propcache: An accelerated property cache for Python classes.""" + +from typing import TYPE_CHECKING + +_PUBLIC_API = ("cached_property", "under_cached_property") + +__version__ = "0.2.1" +__all__ = () + +# Imports have moved to `propcache.api` in 0.2.0+. +# This module is now a facade for the API. +if TYPE_CHECKING: + from .api import cached_property as cached_property # noqa: F401 + from .api import under_cached_property as under_cached_property # noqa: F401 + + +def _import_facade(attr: str) -> object: + """Import the public API from the `api` module.""" + if attr in _PUBLIC_API: + from . import api # pylint: disable=import-outside-toplevel + + return getattr(api, attr) + raise AttributeError(f"module '{__package__}' has no attribute '{attr}'") + + +def _dir_facade() -> list[str]: + """Include the public API in the module's dir() output.""" + return [*_PUBLIC_API, *globals().keys()] + + +__getattr__ = _import_facade +__dir__ = _dir_facade diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/__init__.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0bc6d8450edbd1acad2f345614e9e3f412b65d96 Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/__init__.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..081978a0abd5c9016c649cd725a4e33bcf72d72d Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers_py.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers_py.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8df4b8a5a94ac6c4e8f431d73965d4780989daef Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/_helpers_py.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/api.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/api.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1f93b4d566bf4570a6b47a66af0c4b194bf7009a Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/__pycache__/api.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers.py new file mode 100644 index 0000000000000000000000000000000000000000..99cadfd64357b9d676f351870332f3bcacdecef1 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers.py @@ -0,0 +1,39 @@ +import os +import sys +from typing import TYPE_CHECKING + +__all__ = ("cached_property", "under_cached_property") + + +NO_EXTENSIONS = bool(os.environ.get("PROPCACHE_NO_EXTENSIONS")) # type: bool +if sys.implementation.name != "cpython": + NO_EXTENSIONS = True + + +# isort: off +if TYPE_CHECKING: + from ._helpers_py import cached_property as cached_property_py + from ._helpers_py import under_cached_property as under_cached_property_py + + cached_property = cached_property_py + under_cached_property = under_cached_property_py +elif not NO_EXTENSIONS: # pragma: no branch + try: + from ._helpers_c import cached_property as cached_property_c # type: ignore[attr-defined, unused-ignore] # noqa: E501 + from ._helpers_c import under_cached_property as under_cached_property_c # type: ignore[attr-defined, unused-ignore] # noqa: E501 + + cached_property = cached_property_c + under_cached_property = under_cached_property_c + except ImportError: # pragma: no cover + from ._helpers_py import cached_property as cached_property_py + from ._helpers_py import under_cached_property as under_cached_property_py + + cached_property = cached_property_py # type: ignore[assignment, misc] + under_cached_property = under_cached_property_py +else: + from ._helpers_py import cached_property as cached_property_py + from ._helpers_py import under_cached_property as under_cached_property_py + + cached_property = cached_property_py # type: ignore[assignment, misc] + under_cached_property = under_cached_property_py +# isort: on diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_c.pyx b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_c.pyx new file mode 100644 index 0000000000000000000000000000000000000000..0c42ff39a32f013d46ba5fcd2ac236e7c0592c0a --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_c.pyx @@ -0,0 +1,84 @@ +# cython: language_level=3 +from types import GenericAlias + + +cdef _sentinel = object() + +cdef class under_cached_property: + """Use as a class method decorator. It operates almost exactly like + the Python `@property` decorator, but it puts the result of the + method it decorates into the instance dict after the first call, + effectively replacing the function it decorates with an instance + variable. It is, in Python parlance, a data descriptor. + + """ + + cdef readonly object wrapped + cdef object name + + def __init__(self, wrapped): + self.wrapped = wrapped + self.name = wrapped.__name__ + + @property + def __doc__(self): + return self.wrapped.__doc__ + + def __get__(self, inst, owner): + if inst is None: + return self + cdef dict cache = inst._cache + val = cache.get(self.name, _sentinel) + if val is _sentinel: + val = self.wrapped(inst) + cache[self.name] = val + return val + + def __set__(self, inst, value): + raise AttributeError("cached property is read-only") + + +cdef class cached_property: + """Use as a class method decorator. It operates almost exactly like + the Python `@property` decorator, but it puts the result of the + method it decorates into the instance dict after the first call, + effectively replacing the function it decorates with an instance + variable. It is, in Python parlance, a data descriptor. + + """ + + cdef readonly object func + cdef object name + + def __init__(self, func): + self.func = func + self.name = None + + @property + def __doc__(self): + return self.func.__doc__ + + def __set_name__(self, owner, name): + if self.name is None: + self.name = name + elif name != self.name: + raise TypeError( + "Cannot assign the same cached_property to two different names " + f"({self.name!r} and {name!r})." + ) + + def __get__(self, inst, owner): + if inst is None: + return self + if self.name is None: + raise TypeError( + "Cannot use cached_property instance" + " without calling __set_name__ on it.") + cdef dict cache = inst.__dict__ + val = cache.get(self.name, _sentinel) + if val is _sentinel: + val = self.func(inst) + cache[self.name] = val + return val + + __class_getitem__ = classmethod(GenericAlias) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_py.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_py.py new file mode 100644 index 0000000000000000000000000000000000000000..2f3e688048cf4e6cd694ed632910319987be8cd1 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/_helpers_py.py @@ -0,0 +1,56 @@ +"""Various helper functions.""" + +import sys +from functools import cached_property +from typing import Any, Callable, Generic, Optional, Protocol, TypeVar, Union, overload + +__all__ = ("under_cached_property", "cached_property") + + +if sys.version_info >= (3, 11): + from typing import Self +else: + Self = Any + +_T = TypeVar("_T") + + +class _TSelf(Protocol, Generic[_T]): + _cache: dict[str, _T] + + +class under_cached_property(Generic[_T]): + """Use as a class method decorator. + + It operates almost exactly like + the Python `@property` decorator, but it puts the result of the + method it decorates into the instance dict after the first call, + effectively replacing the function it decorates with an instance + variable. It is, in Python parlance, a data descriptor. + """ + + def __init__(self, wrapped: Callable[..., _T]) -> None: + self.wrapped = wrapped + self.__doc__ = wrapped.__doc__ + self.name = wrapped.__name__ + + @overload + def __get__(self, inst: None, owner: Optional[type[object]] = None) -> Self: ... + + @overload + def __get__(self, inst: _TSelf[_T], owner: Optional[type[object]] = None) -> _T: ... + + def __get__( + self, inst: Optional[_TSelf[_T]], owner: Optional[type[object]] = None + ) -> Union[_T, Self]: + if inst is None: + return self + try: + return inst._cache[self.name] + except KeyError: + val = self.wrapped(inst) + inst._cache[self.name] = val + return val + + def __set__(self, inst: _TSelf[_T], value: _T) -> None: + raise AttributeError("cached property is read-only") diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/api.py b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/api.py new file mode 100644 index 0000000000000000000000000000000000000000..22389e6337f8f77681b61de5e45d1ae6d474d39b --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/api.py @@ -0,0 +1,8 @@ +"""Public API of the property caching library.""" + +from ._helpers import cached_property, under_cached_property + +__all__ = ( + "cached_property", + "under_cached_property", +) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/py.typed b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..dcf2c804da5e19d617a03a6c68aa128d1d1f89a0 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/runtime_env/agent/thirdparty_files/propcache/py.typed @@ -0,0 +1 @@ +# Placeholder diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..318cd9b60a2b4cd78072ac24c6fc669178fe8535 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/__init__.py @@ -0,0 +1,3 @@ +from .config import Config +from .core import from_dict +from .exceptions import * diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/__pycache__/config.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/__pycache__/config.cpython-311.pyc new file mode 100644 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b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/config.py @@ -0,0 +1,12 @@ +from dataclasses import dataclass, field +from typing import Dict, Any, Callable, Optional, Type, List + + +@dataclass +class Config: + type_hooks: Dict[Type, Callable[[Any], Any]] = field(default_factory=dict) + cast: List[Type] = field(default_factory=list) + forward_references: Optional[Dict[str, Any]] = None + check_types: bool = True + strict: bool = False + strict_unions_match: bool = False diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/core.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/core.py new file mode 100644 index 0000000000000000000000000000000000000000..eccfe5e9640232039b8089c6f9756f2beed582ef --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/core.py @@ -0,0 +1,140 @@ +import copy +from dataclasses import is_dataclass +from itertools import zip_longest +from typing import TypeVar, Type, Optional, get_type_hints, Mapping, Any + +from .config import Config +from .data import Data +from .dataclasses import get_default_value_for_field, create_instance, DefaultValueNotFoundError, get_fields +from .exceptions import ( + ForwardReferenceError, + WrongTypeError, + DaciteError, + UnionMatchError, + MissingValueError, + DaciteFieldError, + UnexpectedDataError, + StrictUnionMatchError, +) +from .types import ( + is_instance, + is_generic_collection, + is_union, + extract_generic, + is_optional, + transform_value, + extract_origin_collection, + is_init_var, + extract_init_var, +) + +T = TypeVar("T") + + +def from_dict(data_class: Type[T], data: Data, config: Optional[Config] = None) -> T: + """Create a data class instance from a dictionary. + + :param data_class: a data class type + :param data: a dictionary of a input data + :param config: a configuration of the creation process + :return: an instance of a data class + """ + init_values: Data = {} + post_init_values: Data = {} + config = config or Config() + try: + data_class_hints = get_type_hints(data_class, globalns=config.forward_references) + except NameError as error: + raise ForwardReferenceError(str(error)) + data_class_fields = get_fields(data_class) + if config.strict: + extra_fields = set(data.keys()) - {f.name for f in data_class_fields} + if extra_fields: + raise UnexpectedDataError(keys=extra_fields) + for field in data_class_fields: + field = copy.copy(field) + field.type = data_class_hints[field.name] + try: + try: + field_data = data[field.name] + transformed_value = transform_value( + type_hooks=config.type_hooks, cast=config.cast, target_type=field.type, value=field_data + ) + value = _build_value(type_=field.type, data=transformed_value, config=config) + except DaciteFieldError as error: + error.update_path(field.name) + raise + if config.check_types and not is_instance(value, field.type): + raise WrongTypeError(field_path=field.name, field_type=field.type, value=value) + except KeyError: + try: + value = get_default_value_for_field(field) + except DefaultValueNotFoundError: + if not field.init: + continue + raise MissingValueError(field.name) + if field.init: + init_values[field.name] = value + else: + post_init_values[field.name] = value + + return create_instance(data_class=data_class, init_values=init_values, post_init_values=post_init_values) + + +def _build_value(type_: Type, data: Any, config: Config) -> Any: + if is_init_var(type_): + type_ = extract_init_var(type_) + if is_union(type_): + return _build_value_for_union(union=type_, data=data, config=config) + elif is_generic_collection(type_) and is_instance(data, extract_origin_collection(type_)): + return _build_value_for_collection(collection=type_, data=data, config=config) + elif is_dataclass(type_) and is_instance(data, Data): + return from_dict(data_class=type_, data=data, config=config) + return data + + +def _build_value_for_union(union: Type, data: Any, config: Config) -> Any: + types = extract_generic(union) + if is_optional(union) and len(types) == 2: + return _build_value(type_=types[0], data=data, config=config) + union_matches = {} + for inner_type in types: + try: + # noinspection PyBroadException + try: + data = transform_value( + type_hooks=config.type_hooks, cast=config.cast, target_type=inner_type, value=data + ) + except Exception: # pylint: disable=broad-except + continue + value = _build_value(type_=inner_type, data=data, config=config) + if is_instance(value, inner_type): + if config.strict_unions_match: + union_matches[inner_type] = value + else: + return value + except DaciteError: + pass + if config.strict_unions_match: + if len(union_matches) > 1: + raise StrictUnionMatchError(union_matches) + return union_matches.popitem()[1] + if not config.check_types: + return data + raise UnionMatchError(field_type=union, value=data) + + +def _build_value_for_collection(collection: Type, data: Any, config: Config) -> Any: + data_type = data.__class__ + if is_instance(data, Mapping): + item_type = extract_generic(collection, defaults=(Any, Any))[1] + return data_type((key, _build_value(type_=item_type, data=value, config=config)) for key, value in data.items()) + elif is_instance(data, tuple): + types = extract_generic(collection) + if len(types) == 2 and types[1] == Ellipsis: + return data_type(_build_value(type_=types[0], data=item, config=config) for item in data) + return data_type( + _build_value(type_=type_, data=item, config=config) for item, type_ in zip_longest(data, types) + ) + item_type = extract_generic(collection, defaults=(Any,))[0] + return data_type(_build_value(type_=item_type, data=item, config=config) for item in data) diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/data.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/data.py new file mode 100644 index 0000000000000000000000000000000000000000..560cdf8beddb082122f26bb548329ec95f23581d --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/data.py @@ -0,0 +1,3 @@ +from typing import Dict, Any + +Data = Dict[str, Any] diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/dataclasses.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/dataclasses.py new file mode 100644 index 0000000000000000000000000000000000000000..b5db7ac013444f4d5d72439dd396235278302ba7 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/dataclasses.py @@ -0,0 +1,33 @@ +from dataclasses import Field, MISSING, _FIELDS, _FIELD, _FIELD_INITVAR # type: ignore +from typing import Type, Any, TypeVar, List + +from .data import Data +from .types import is_optional + +T = TypeVar("T", bound=Any) + + +class DefaultValueNotFoundError(Exception): + pass + + +def get_default_value_for_field(field: Field) -> Any: + if field.default != MISSING: + return field.default + elif field.default_factory != MISSING: # type: ignore + return field.default_factory() # type: ignore + elif is_optional(field.type): + return None + raise DefaultValueNotFoundError() + + +def create_instance(data_class: Type[T], init_values: Data, post_init_values: Data) -> T: + instance = data_class(**init_values) + for key, value in post_init_values.items(): + setattr(instance, key, value) + return instance + + +def get_fields(data_class: Type[T]) -> List[Field]: + fields = getattr(data_class, _FIELDS) + return [f for f in fields.values() if f._field_type is _FIELD or f._field_type is _FIELD_INITVAR] diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/exceptions.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..871e73f1c29c8b301f04dd5785bd0d9bcca6e4d3 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/exceptions.py @@ -0,0 +1,79 @@ +from typing import Any, Type, Optional, Set, Dict + + +def _name(type_: Type) -> str: + return type_.__name__ if hasattr(type_, "__name__") else str(type_) + + +class DaciteError(Exception): + pass + + +class DaciteFieldError(DaciteError): + def __init__(self, field_path: Optional[str] = None): + super().__init__() + self.field_path = field_path + + def update_path(self, parent_field_path: str) -> None: + if self.field_path: + self.field_path = f"{parent_field_path}.{self.field_path}" + else: + self.field_path = parent_field_path + + +class WrongTypeError(DaciteFieldError): + def __init__(self, field_type: Type, value: Any, field_path: Optional[str] = None) -> None: + super().__init__(field_path=field_path) + self.field_type = field_type + self.value = value + + def __str__(self) -> str: + return ( + f'wrong value type for field "{self.field_path}" - should be "{_name(self.field_type)}" ' + f'instead of value "{self.value}" of type "{_name(type(self.value))}"' + ) + + +class MissingValueError(DaciteFieldError): + def __init__(self, field_path: Optional[str] = None): + super().__init__(field_path=field_path) + + def __str__(self) -> str: + return f'missing value for field "{self.field_path}"' + + +class UnionMatchError(WrongTypeError): + def __str__(self) -> str: + return ( + f'can not match type "{_name(type(self.value))}" to any type ' + f'of "{self.field_path}" union: {_name(self.field_type)}' + ) + + +class StrictUnionMatchError(DaciteFieldError): + def __init__(self, union_matches: Dict[Type, Any], field_path: Optional[str] = None) -> None: + super().__init__(field_path=field_path) + self.union_matches = union_matches + + def __str__(self) -> str: + conflicting_types = ", ".join(_name(type_) for type_ in self.union_matches) + return f'can not choose between possible Union matches for field "{self.field_path}": {conflicting_types}' + + +class ForwardReferenceError(DaciteError): + def __init__(self, message: str) -> None: + super().__init__() + self.message = message + + def __str__(self) -> str: + return f"can not resolve forward reference: {self.message}" + + +class UnexpectedDataError(DaciteError): + def __init__(self, keys: Set[str]) -> None: + super().__init__() + self.keys = keys + + def __str__(self) -> str: + formatted_keys = ", ".join(f'"{key}"' for key in self.keys) + return f"can not match {formatted_keys} to any data class field" diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/py.typed b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/types.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/types.py new file mode 100644 index 0000000000000000000000000000000000000000..1d4dfea4f2a5b124fa00ef5237fc96567648b598 --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/dacite/types.py @@ -0,0 +1,172 @@ +from dataclasses import InitVar +from typing import Type, Any, Optional, Union, Collection, TypeVar, Dict, Callable, Mapping, List, Tuple + +T = TypeVar("T", bound=Any) + + +def transform_value( + type_hooks: Dict[Type, Callable[[Any], Any]], cast: List[Type], target_type: Type, value: Any +) -> Any: + if target_type in type_hooks: + value = type_hooks[target_type](value) + else: + for cast_type in cast: + if is_subclass(target_type, cast_type): + if is_generic_collection(target_type): + value = extract_origin_collection(target_type)(value) + else: + value = target_type(value) + break + if is_optional(target_type): + if value is None: + return None + target_type = extract_optional(target_type) + return transform_value(type_hooks, cast, target_type, value) + if is_generic_collection(target_type) and isinstance(value, extract_origin_collection(target_type)): + collection_cls = value.__class__ + if issubclass(collection_cls, dict): + key_cls, item_cls = extract_generic(target_type, defaults=(Any, Any)) + return collection_cls( + { + transform_value(type_hooks, cast, key_cls, key): transform_value(type_hooks, cast, item_cls, item) + for key, item in value.items() + } + ) + item_cls = extract_generic(target_type, defaults=(Any,))[0] + return collection_cls(transform_value(type_hooks, cast, item_cls, item) for item in value) + return value + + +def extract_origin_collection(collection: Type) -> Type: + try: + return collection.__extra__ + except AttributeError: + return collection.__origin__ + + +def is_optional(type_: Type) -> bool: + return is_union(type_) and type(None) in extract_generic(type_) + + +def extract_optional(optional: Type[Optional[T]]) -> T: + for type_ in extract_generic(optional): + if type_ is not type(None): + return type_ + raise ValueError("can not find not-none value") + + +def is_generic(type_: Type) -> bool: + return hasattr(type_, "__origin__") + + +def is_union(type_: Type) -> bool: + return is_generic(type_) and type_.__origin__ == Union + + +def is_literal(type_: Type) -> bool: + try: + from typing import Literal # type: ignore + + return is_generic(type_) and type_.__origin__ == Literal + except ImportError: + return False + + +def is_new_type(type_: Type) -> bool: + return hasattr(type_, "__supertype__") + + +def extract_new_type(type_: Type) -> Type: + return type_.__supertype__ + + +def is_init_var(type_: Type) -> bool: + return isinstance(type_, InitVar) or type_ is InitVar + + +def extract_init_var(type_: Type) -> Union[Type, Any]: + try: + return type_.type + except AttributeError: + return Any + + +def is_instance(value: Any, type_: Type) -> bool: + if type_ == Any: + return True + elif is_union(type_): + return any(is_instance(value, t) for t in extract_generic(type_)) + elif is_generic_collection(type_): + origin = extract_origin_collection(type_) + if not isinstance(value, origin): + return False + if not extract_generic(type_): + return True + if isinstance(value, tuple): + tuple_types = extract_generic(type_) + if len(tuple_types) == 1 and tuple_types[0] == (): + return len(value) == 0 + elif len(tuple_types) == 2 and tuple_types[1] is ...: + return all(is_instance(item, tuple_types[0]) for item in value) + else: + if len(tuple_types) != len(value): + return False + return all(is_instance(item, item_type) for item, item_type in zip(value, tuple_types)) + if isinstance(value, Mapping): + key_type, val_type = extract_generic(type_, defaults=(Any, Any)) + for key, val in value.items(): + if not is_instance(key, key_type) or not is_instance(val, val_type): + return False + return True + return all(is_instance(item, extract_generic(type_, defaults=(Any,))[0]) for item in value) + elif is_new_type(type_): + return is_instance(value, extract_new_type(type_)) + elif is_literal(type_): + return value in extract_generic(type_) + elif is_init_var(type_): + return is_instance(value, extract_init_var(type_)) + elif is_type_generic(type_): + return is_subclass(value, extract_generic(type_)[0]) + else: + try: + # As described in PEP 484 - section: "The numeric tower" + if isinstance(value, (int, float)) and type_ in [float, complex]: + return True + return isinstance(value, type_) + except TypeError: + return False + + +def is_generic_collection(type_: Type) -> bool: + if not is_generic(type_): + return False + origin = extract_origin_collection(type_) + try: + return bool(origin and issubclass(origin, Collection)) + except (TypeError, AttributeError): + return False + + +def extract_generic(type_: Type, defaults: Tuple = ()) -> tuple: + try: + if hasattr(type_, "_special") and type_._special: + return defaults + return type_.__args__ or defaults # type: ignore + except AttributeError: + return defaults + + +def is_subclass(sub_type: Type, base_type: Type) -> bool: + if is_generic_collection(sub_type): + sub_type = extract_origin_collection(sub_type) + try: + return issubclass(sub_type, base_type) + except TypeError: + return False + + +def is_type_generic(type_: Type) -> bool: + try: + return type_.__origin__ in (type, Type) + except AttributeError: + return False diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/__init__.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/__pycache__/__init__.cpython-311.pyc b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/__pycache__/__init__.cpython-311.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ecb7c4707ba866f55402b5efc59fee0a6965d1ac Binary files /dev/null and b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/__pycache__/__init__.cpython-311.pyc differ diff --git a/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/tabulate.py b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/tabulate.py new file mode 100644 index 0000000000000000000000000000000000000000..83b1090ffaf9aabee2f874360c52415ebfeaf1fd --- /dev/null +++ b/.venv/lib/python3.11/site-packages/ray/_private/thirdparty/tabulate/tabulate.py @@ -0,0 +1,2720 @@ +# -*- coding: utf-8 -*- + +# Version 0.9.0, commit bf58e37e6b35e3cc9a0bd740f752abfd32b6e6f8 + +"""Pretty-print tabular data.""" + +from collections import namedtuple +from collections.abc import Iterable, Sized +from html import escape as htmlescape +from itertools import chain, zip_longest as izip_longest +from functools import reduce, partial +import io +import re +import math +import textwrap +import dataclasses + +try: + import wcwidth # optional wide-character (CJK) support +except ImportError: + wcwidth = None + + +def _is_file(f): + return isinstance(f, io.IOBase) + + +__all__ = ["tabulate", "tabulate_formats", "simple_separated_format"] +try: + from .version import version as __version__ # noqa: F401 +except ImportError: + pass # running __init__.py as a script, AppVeyor pytests + + +# minimum extra space in headers +MIN_PADDING = 2 + +# Whether or not to preserve leading/trailing whitespace in data. +PRESERVE_WHITESPACE = False + +_DEFAULT_FLOATFMT = "g" +_DEFAULT_INTFMT = "" +_DEFAULT_MISSINGVAL = "" +# default align will be overwritten by "left", "center" or "decimal" +# depending on the formatter +_DEFAULT_ALIGN = "default" + + +# if True, enable wide-character (CJK) support +WIDE_CHARS_MODE = wcwidth is not None + +# Constant that can be used as part of passed rows to generate a separating line +# It is purposely an unprintable character, very unlikely to be used in a table +SEPARATING_LINE = "\001" + +Line = namedtuple("Line", ["begin", "hline", "sep", "end"]) + + +DataRow = namedtuple("DataRow", ["begin", "sep", "end"]) + + +# A table structure is supposed to be: +# +# --- lineabove --------- +# headerrow +# --- linebelowheader --- +# datarow +# --- linebetweenrows --- +# ... (more datarows) ... +# --- linebetweenrows --- +# last datarow +# --- linebelow --------- +# +# TableFormat's line* elements can be +# +# - either None, if the element is not used, +# - or a Line tuple, +# - or a function: [col_widths], [col_alignments] -> string. +# +# TableFormat's *row elements can be +# +# - either None, if the element is not used, +# - or a DataRow tuple, +# - or a function: [cell_values], [col_widths], [col_alignments] -> string. +# +# padding (an integer) is the amount of white space around data values. +# +# with_header_hide: +# +# - either None, to display all table elements unconditionally, +# - or a list of elements not to be displayed if the table has column headers. +# +TableFormat = namedtuple( + "TableFormat", + [ + "lineabove", + "linebelowheader", + "linebetweenrows", + "linebelow", + "headerrow", + "datarow", + "padding", + "with_header_hide", + ], +) + + +def _is_separating_line(row): + row_type = type(row) + is_sl = (row_type == list or row_type == str) and ( + (len(row) >= 1 and row[0] == SEPARATING_LINE) + or (len(row) >= 2 and row[1] == SEPARATING_LINE) + ) + return is_sl + + +def _pipe_segment_with_colons(align, colwidth): + """Return a segment of a horizontal line with optional colons which + indicate column's alignment (as in `pipe` output format).""" + w = colwidth + if align in ["right", "decimal"]: + return ("-" * (w - 1)) + ":" + elif align == "center": + return ":" + ("-" * (w - 2)) + ":" + elif align == "left": + return ":" + ("-" * (w - 1)) + else: + return "-" * w + + +def _pipe_line_with_colons(colwidths, colaligns): + """Return a horizontal line with optional colons to indicate column's + alignment (as in `pipe` output format).""" + if not colaligns: # e.g. printing an empty data frame (github issue #15) + colaligns = [""] * len(colwidths) + segments = [_pipe_segment_with_colons(a, w) for a, w in zip(colaligns, colwidths)] + return "|" + "|".join(segments) + "|" + + +def _mediawiki_row_with_attrs(separator, cell_values, colwidths, colaligns): + alignment = { + "left": "", + "right": 'align="right"| ', + "center": 'align="center"| ', + "decimal": 'align="right"| ', + } + # hard-coded padding _around_ align attribute and value together + # rather than padding parameter which affects only the value + values_with_attrs = [ + " " + alignment.get(a, "") + c + " " for c, a in zip(cell_values, colaligns) + ] + colsep = separator * 2 + return (separator + colsep.join(values_with_attrs)).rstrip() + + +def _textile_row_with_attrs(cell_values, colwidths, colaligns): + cell_values[0] += " " + alignment = {"left": "<.", "right": ">.", "center": "=.", "decimal": ">."} + values = (alignment.get(a, "") + v for a, v in zip(colaligns, cell_values)) + return "|" + "|".join(values) + "|" + + +def _html_begin_table_without_header(colwidths_ignore, colaligns_ignore): + # this table header will be suppressed if there is a header row + return "\n" + + +def _html_row_with_attrs(celltag, unsafe, cell_values, colwidths, colaligns): + alignment = { + "left": "", + "right": ' style="text-align: right;"', + "center": ' style="text-align: center;"', + "decimal": ' style="text-align: right;"', + } + if unsafe: + values_with_attrs = [ + "<{0}{1}>{2}".format(celltag, alignment.get(a, ""), c) + for c, a in zip(cell_values, colaligns) + ] + else: + values_with_attrs = [ + "<{0}{1}>{2}".format(celltag, alignment.get(a, ""), htmlescape(c)) + for c, a in zip(cell_values, colaligns) + ] + rowhtml = "{}".format("".join(values_with_attrs).rstrip()) + if celltag == "th": # it's a header row, create a new table header + rowhtml = f"
\n\n{rowhtml}\n\n" + return rowhtml + + +def _moin_row_with_attrs(celltag, cell_values, colwidths, colaligns, header=""): + alignment = { + "left": "", + "right": '', + "center": '', + "decimal": '', + } + values_with_attrs = [ + "{}{} {} ".format(celltag, alignment.get(a, ""), header + c + header) + for c, a in zip(cell_values, colaligns) + ] + return "".join(values_with_attrs) + "||" + + +def _latex_line_begin_tabular(colwidths, colaligns, booktabs=False, longtable=False): + alignment = {"left": "l", "right": "r", "center": "c", "decimal": "r"} + tabular_columns_fmt = "".join([alignment.get(a, "l") for a in colaligns]) + return "\n".join( + [ + ("\\begin{tabular}{" if not longtable else "\\begin{longtable}{") + + tabular_columns_fmt + + "}", + "\\toprule" if booktabs else "\\hline", + ] + ) + + +def _asciidoc_row(is_header, *args): + """handle header and data rows for asciidoc format""" + + def make_header_line(is_header, colwidths, colaligns): + # generate the column specifiers + + alignment = {"left": "<", "right": ">", "center": "^", "decimal": ">"} + # use the column widths generated by tabulate for the asciidoc column width specifiers + asciidoc_alignments = zip( + colwidths, [alignment[colalign] for colalign in colaligns] + ) + asciidoc_column_specifiers = [ + "{:d}{}".format(width, align) for width, align in asciidoc_alignments + ] + header_list = ['cols="' + (",".join(asciidoc_column_specifiers)) + '"'] + + # generate the list of options (currently only "header") + options_list = [] + + if is_header: + options_list.append("header") + + if options_list: + header_list += ['options="' + ",".join(options_list) + '"'] + + # generate the list of entries in the table header field + + return "[{}]\n|====".format(",".join(header_list)) + + if len(args) == 2: + # two arguments are passed if called in the context of aboveline + # print the table header with column widths and optional header tag + return make_header_line(False, *args) + + elif len(args) == 3: + # three arguments are passed if called in the context of dataline or headerline + # print the table line and make the aboveline if it is a header + + cell_values, colwidths, colaligns = args + data_line = "|" + "|".join(cell_values) + + if is_header: + return make_header_line(True, colwidths, colaligns) + "\n" + data_line + else: + return data_line + + else: + raise ValueError( + " _asciidoc_row() requires two (colwidths, colaligns) " + + "or three (cell_values, colwidths, colaligns) arguments) " + ) + + +LATEX_ESCAPE_RULES = { + r"&": r"\&", + r"%": r"\%", + r"$": r"\$", + r"#": r"\#", + r"_": r"\_", + r"^": r"\^{}", + r"{": r"\{", + r"}": r"\}", + r"~": r"\textasciitilde{}", + "\\": r"\textbackslash{}", + r"<": r"\ensuremath{<}", + r">": r"\ensuremath{>}", +} + + +def _latex_row(cell_values, colwidths, colaligns, escrules=LATEX_ESCAPE_RULES): + def escape_char(c): + return escrules.get(c, c) + + escaped_values = ["".join(map(escape_char, cell)) for cell in cell_values] + rowfmt = DataRow("", "&", "\\\\") + return _build_simple_row(escaped_values, rowfmt) + + +def _rst_escape_first_column(rows, headers): + def escape_empty(val): + if isinstance(val, (str, bytes)) and not val.strip(): + return ".." + else: + return val + + new_headers = list(headers) + new_rows = [] + if headers: + new_headers[0] = escape_empty(headers[0]) + for row in rows: + new_row = list(row) + if new_row: + new_row[0] = escape_empty(row[0]) + new_rows.append(new_row) + return new_rows, new_headers + + +_table_formats = { + "simple": TableFormat( + lineabove=Line("", "-", " ", ""), + linebelowheader=Line("", "-", " ", ""), + linebetweenrows=None, + linebelow=Line("", "-", " ", ""), + headerrow=DataRow("", " ", ""), + datarow=DataRow("", " ", ""), + padding=0, + with_header_hide=["lineabove", "linebelow"], + ), + "plain": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("", " ", ""), + datarow=DataRow("", " ", ""), + padding=0, + with_header_hide=None, + ), + "grid": TableFormat( + lineabove=Line("+", "-", "+", "+"), + linebelowheader=Line("+", "=", "+", "+"), + linebetweenrows=Line("+", "-", "+", "+"), + linebelow=Line("+", "-", "+", "+"), + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "simple_grid": TableFormat( + lineabove=Line("┌", "─", "┬", "┐"), + linebelowheader=Line("├", "─", "┼", "┤"), + linebetweenrows=Line("├", "─", "┼", "┤"), + linebelow=Line("└", "─", "┴", "┘"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "rounded_grid": TableFormat( + lineabove=Line("╭", "─", "┬", "╮"), + linebelowheader=Line("├", "─", "┼", "┤"), + linebetweenrows=Line("├", "─", "┼", "┤"), + linebelow=Line("╰", "─", "┴", "╯"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "heavy_grid": TableFormat( + lineabove=Line("┏", "━", "┳", "┓"), + linebelowheader=Line("┣", "━", "╋", "┫"), + linebetweenrows=Line("┣", "━", "╋", "┫"), + linebelow=Line("┗", "━", "┻", "┛"), + headerrow=DataRow("┃", "┃", "┃"), + datarow=DataRow("┃", "┃", "┃"), + padding=1, + with_header_hide=None, + ), + "mixed_grid": TableFormat( + lineabove=Line("┍", "━", "┯", "┑"), + linebelowheader=Line("┝", "━", "┿", "┥"), + linebetweenrows=Line("├", "─", "┼", "┤"), + linebelow=Line("┕", "━", "┷", "┙"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "double_grid": TableFormat( + lineabove=Line("╔", "═", "╦", "╗"), + linebelowheader=Line("╠", "═", "╬", "╣"), + linebetweenrows=Line("╠", "═", "╬", "╣"), + linebelow=Line("╚", "═", "╩", "╝"), + headerrow=DataRow("║", "║", "║"), + datarow=DataRow("║", "║", "║"), + padding=1, + with_header_hide=None, + ), + "fancy_grid": TableFormat( + lineabove=Line("╒", "═", "╤", "╕"), + linebelowheader=Line("╞", "═", "╪", "╡"), + linebetweenrows=Line("├", "─", "┼", "┤"), + linebelow=Line("╘", "═", "╧", "╛"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "outline": TableFormat( + lineabove=Line("+", "-", "+", "+"), + linebelowheader=Line("+", "=", "+", "+"), + linebetweenrows=None, + linebelow=Line("+", "-", "+", "+"), + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "simple_outline": TableFormat( + lineabove=Line("┌", "─", "┬", "┐"), + linebelowheader=Line("├", "─", "┼", "┤"), + linebetweenrows=None, + linebelow=Line("└", "─", "┴", "┘"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "rounded_outline": TableFormat( + lineabove=Line("╭", "─", "┬", "╮"), + linebelowheader=Line("├", "─", "┼", "┤"), + linebetweenrows=None, + linebelow=Line("╰", "─", "┴", "╯"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "heavy_outline": TableFormat( + lineabove=Line("┏", "━", "┳", "┓"), + linebelowheader=Line("┣", "━", "╋", "┫"), + linebetweenrows=None, + linebelow=Line("┗", "━", "┻", "┛"), + headerrow=DataRow("┃", "┃", "┃"), + datarow=DataRow("┃", "┃", "┃"), + padding=1, + with_header_hide=None, + ), + "mixed_outline": TableFormat( + lineabove=Line("┍", "━", "┯", "┑"), + linebelowheader=Line("┝", "━", "┿", "┥"), + linebetweenrows=None, + linebelow=Line("┕", "━", "┷", "┙"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "double_outline": TableFormat( + lineabove=Line("╔", "═", "╦", "╗"), + linebelowheader=Line("╠", "═", "╬", "╣"), + linebetweenrows=None, + linebelow=Line("╚", "═", "╩", "╝"), + headerrow=DataRow("║", "║", "║"), + datarow=DataRow("║", "║", "║"), + padding=1, + with_header_hide=None, + ), + "fancy_outline": TableFormat( + lineabove=Line("╒", "═", "╤", "╕"), + linebelowheader=Line("╞", "═", "╪", "╡"), + linebetweenrows=None, + linebelow=Line("╘", "═", "╧", "╛"), + headerrow=DataRow("│", "│", "│"), + datarow=DataRow("│", "│", "│"), + padding=1, + with_header_hide=None, + ), + "github": TableFormat( + lineabove=Line("|", "-", "|", "|"), + linebelowheader=Line("|", "-", "|", "|"), + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=["lineabove"], + ), + "pipe": TableFormat( + lineabove=_pipe_line_with_colons, + linebelowheader=_pipe_line_with_colons, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=["lineabove"], + ), + "orgtbl": TableFormat( + lineabove=None, + linebelowheader=Line("|", "-", "+", "|"), + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "jira": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("||", "||", "||"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "presto": TableFormat( + lineabove=None, + linebelowheader=Line("", "-", "+", ""), + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("", "|", ""), + datarow=DataRow("", "|", ""), + padding=1, + with_header_hide=None, + ), + "pretty": TableFormat( + lineabove=Line("+", "-", "+", "+"), + linebelowheader=Line("+", "-", "+", "+"), + linebetweenrows=None, + linebelow=Line("+", "-", "+", "+"), + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "psql": TableFormat( + lineabove=Line("+", "-", "+", "+"), + linebelowheader=Line("|", "-", "+", "|"), + linebetweenrows=None, + linebelow=Line("+", "-", "+", "+"), + headerrow=DataRow("|", "|", "|"), + datarow=DataRow("|", "|", "|"), + padding=1, + with_header_hide=None, + ), + "rst": TableFormat( + lineabove=Line("", "=", " ", ""), + linebelowheader=Line("", "=", " ", ""), + linebetweenrows=None, + linebelow=Line("", "=", " ", ""), + headerrow=DataRow("", " ", ""), + datarow=DataRow("", " ", ""), + padding=0, + with_header_hide=None, + ), + "mediawiki": TableFormat( + lineabove=Line( + '{| class="wikitable" style="text-align: left;"', + "", + "", + "\n|+ \n|-", + ), + linebelowheader=Line("|-", "", "", ""), + linebetweenrows=Line("|-", "", "", ""), + linebelow=Line("|}", "", "", ""), + headerrow=partial(_mediawiki_row_with_attrs, "!"), + datarow=partial(_mediawiki_row_with_attrs, "|"), + padding=0, + with_header_hide=None, + ), + "moinmoin": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=partial(_moin_row_with_attrs, "||", header="'''"), + datarow=partial(_moin_row_with_attrs, "||"), + padding=1, + with_header_hide=None, + ), + "youtrack": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("|| ", " || ", " || "), + datarow=DataRow("| ", " | ", " |"), + padding=1, + with_header_hide=None, + ), + "html": TableFormat( + lineabove=_html_begin_table_without_header, + linebelowheader="", + linebetweenrows=None, + linebelow=Line("\n
", "", "", ""), + headerrow=partial(_html_row_with_attrs, "th", False), + datarow=partial(_html_row_with_attrs, "td", False), + padding=0, + with_header_hide=["lineabove"], + ), + "unsafehtml": TableFormat( + lineabove=_html_begin_table_without_header, + linebelowheader="", + linebetweenrows=None, + linebelow=Line("\n", "", "", ""), + headerrow=partial(_html_row_with_attrs, "th", True), + datarow=partial(_html_row_with_attrs, "td", True), + padding=0, + with_header_hide=["lineabove"], + ), + "latex": TableFormat( + lineabove=_latex_line_begin_tabular, + linebelowheader=Line("\\hline", "", "", ""), + linebetweenrows=None, + linebelow=Line("\\hline\n\\end{tabular}", "", "", ""), + headerrow=_latex_row, + datarow=_latex_row, + padding=1, + with_header_hide=None, + ), + "latex_raw": TableFormat( + lineabove=_latex_line_begin_tabular, + linebelowheader=Line("\\hline", "", "", ""), + linebetweenrows=None, + linebelow=Line("\\hline\n\\end{tabular}", "", "", ""), + headerrow=partial(_latex_row, escrules={}), + datarow=partial(_latex_row, escrules={}), + padding=1, + with_header_hide=None, + ), + "latex_booktabs": TableFormat( + lineabove=partial(_latex_line_begin_tabular, booktabs=True), + linebelowheader=Line("\\midrule", "", "", ""), + linebetweenrows=None, + linebelow=Line("\\bottomrule\n\\end{tabular}", "", "", ""), + headerrow=_latex_row, + datarow=_latex_row, + padding=1, + with_header_hide=None, + ), + "latex_longtable": TableFormat( + lineabove=partial(_latex_line_begin_tabular, longtable=True), + linebelowheader=Line("\\hline\n\\endhead", "", "", ""), + linebetweenrows=None, + linebelow=Line("\\hline\n\\end{longtable}", "", "", ""), + headerrow=_latex_row, + datarow=_latex_row, + padding=1, + with_header_hide=None, + ), + "tsv": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("", "\t", ""), + datarow=DataRow("", "\t", ""), + padding=0, + with_header_hide=None, + ), + "textile": TableFormat( + lineabove=None, + linebelowheader=None, + linebetweenrows=None, + linebelow=None, + headerrow=DataRow("|_. ", "|_.", "|"), + datarow=_textile_row_with_attrs, + padding=1, + with_header_hide=None, + ), + "asciidoc": TableFormat( + lineabove=partial(_asciidoc_row, False), + linebelowheader=None, + linebetweenrows=None, + linebelow=Line("|====", "", "", ""), + headerrow=partial(_asciidoc_row, True), + datarow=partial(_asciidoc_row, False), + padding=1, + with_header_hide=["lineabove"], + ), +} + + +tabulate_formats = list(sorted(_table_formats.keys())) + +# The table formats for which multiline cells will be folded into subsequent +# table rows. The key is the original format specified at the API. The value is +# the format that will be used to represent the original format. +multiline_formats = { + "plain": "plain", + "simple": "simple", + "grid": "grid", + "simple_grid": "simple_grid", + "rounded_grid": "rounded_grid", + "heavy_grid": "heavy_grid", + "mixed_grid": "mixed_grid", + "double_grid": "double_grid", + "fancy_grid": "fancy_grid", + "pipe": "pipe", + "orgtbl": "orgtbl", + "jira": "jira", + "presto": "presto", + "pretty": "pretty", + "psql": "psql", + "rst": "rst", +} + +# TODO: Add multiline support for the remaining table formats: +# - mediawiki: Replace \n with
+# - moinmoin: TBD +# - youtrack: TBD +# - html: Replace \n with
+# - latex*: Use "makecell" package: In header, replace X\nY with +# \thead{X\\Y} and in data row, replace X\nY with \makecell{X\\Y} +# - tsv: TBD +# - textile: Replace \n with
(must be well-formed XML) + +_multiline_codes = re.compile(r"\r|\n|\r\n") +_multiline_codes_bytes = re.compile(b"\r|\n|\r\n") + +# Handle ANSI escape sequences for both control sequence introducer (CSI) and +# operating system command (OSC). Both of these begin with 0x1b (or octal 033), +# which will be shown below as ESC. +# +# CSI ANSI escape codes have the following format, defined in section 5.4 of ECMA-48: +# +# CSI: ESC followed by the '[' character (0x5b) +# Parameter Bytes: 0..n bytes in the range 0x30-0x3f +# Intermediate Bytes: 0..n bytes in the range 0x20-0x2f +# Final Byte: a single byte in the range 0x40-0x7e +# +# Also include the terminal hyperlink sequences as described here: +# https://gist.github.com/egmontkob/eb114294efbcd5adb1944c9f3cb5feda +# +# OSC 8 ; params ; uri ST display_text OSC 8 ;; ST +# +# Example: \x1b]8;;https://example.com\x5ctext to show\x1b]8;;\x5c +# +# Where: +# OSC: ESC followed by the ']' character (0x5d) +# params: 0..n optional key value pairs separated by ':' (e.g. foo=bar:baz=qux:abc=123) +# URI: the actual URI with protocol scheme (e.g. https://, file://, ftp://) +# ST: ESC followed by the '\' character (0x5c) +_esc = r"\x1b" +_csi = rf"{_esc}\[" +_osc = rf"{_esc}\]" +_st = rf"{_esc}\\" + +_ansi_escape_pat = rf""" + ( + # terminal colors, etc + {_csi} # CSI + [\x30-\x3f]* # parameter bytes + [\x20-\x2f]* # intermediate bytes + [\x40-\x7e] # final byte + | + # terminal hyperlinks + {_osc}8; # OSC opening + (\w+=\w+:?)* # key=value params list (submatch 2) + ; # delimiter + ([^{_esc}]+) # URI - anything but ESC (submatch 3) + {_st} # ST + ([^{_esc}]+) # link text - anything but ESC (submatch 4) + {_osc}8;;{_st} # "closing" OSC sequence + ) +""" +_ansi_codes = re.compile(_ansi_escape_pat, re.VERBOSE) +_ansi_codes_bytes = re.compile(_ansi_escape_pat.encode("utf8"), re.VERBOSE) +_ansi_color_reset_code = "\033[0m" + +_float_with_thousands_separators = re.compile( + r"^(([+-]?[0-9]{1,3})(?:,([0-9]{3}))*)?(?(1)\.[0-9]*|\.[0-9]+)?$" +) + + +def simple_separated_format(separator): + """Construct a simple TableFormat with columns separated by a separator. + + >>> tsv = simple_separated_format("\\t") ; \ + tabulate([["foo", 1], ["spam", 23]], tablefmt=tsv) == 'foo \\t 1\\nspam\\t23' + True + + """ + return TableFormat( + None, + None, + None, + None, + headerrow=DataRow("", separator, ""), + datarow=DataRow("", separator, ""), + padding=0, + with_header_hide=None, + ) + + +def _isnumber_with_thousands_separator(string): + """ + >>> _isnumber_with_thousands_separator(".") + False + >>> _isnumber_with_thousands_separator("1") + True + >>> _isnumber_with_thousands_separator("1.") + True + >>> _isnumber_with_thousands_separator(".1") + True + >>> _isnumber_with_thousands_separator("1000") + False + >>> _isnumber_with_thousands_separator("1,000") + True + >>> _isnumber_with_thousands_separator("1,0000") + False + >>> _isnumber_with_thousands_separator("1,000.1234") + True + >>> _isnumber_with_thousands_separator(b"1,000.1234") + True + >>> _isnumber_with_thousands_separator("+1,000.1234") + True + >>> _isnumber_with_thousands_separator("-1,000.1234") + True + """ + try: + string = string.decode() + except (UnicodeDecodeError, AttributeError): + pass + + return bool(re.match(_float_with_thousands_separators, string)) + + +def _isconvertible(conv, string): + try: + conv(string) + return True + except (ValueError, TypeError): + return False + + +def _isnumber(string): + """ + >>> _isnumber("123.45") + True + >>> _isnumber("123") + True + >>> _isnumber("spam") + False + >>> _isnumber("123e45678") + False + >>> _isnumber("inf") + True + """ + if not _isconvertible(float, string): + return False + elif isinstance(string, (str, bytes)) and ( + math.isinf(float(string)) or math.isnan(float(string)) + ): + return string.lower() in ["inf", "-inf", "nan"] + return True + + +def _isint(string, inttype=int): + """ + >>> _isint("123") + True + >>> _isint("123.45") + False + """ + return ( + type(string) is inttype + or isinstance(string, (bytes, str)) + and _isconvertible(inttype, string) + ) + + +def _isbool(string): + """ + >>> _isbool(True) + True + >>> _isbool("False") + True + >>> _isbool(1) + False + """ + return type(string) is bool or ( + isinstance(string, (bytes, str)) and string in ("True", "False") + ) + + +def _type(string, has_invisible=True, numparse=True): + """The least generic type (type(None), int, float, str, unicode). + + >>> _type(None) is type(None) + True + >>> _type("foo") is type("") + True + >>> _type("1") is type(1) + True + >>> _type('\x1b[31m42\x1b[0m') is type(42) + True + >>> _type('\x1b[31m42\x1b[0m') is type(42) + True + + """ + + if has_invisible and isinstance(string, (str, bytes)): + string = _strip_ansi(string) + + if string is None: + return type(None) + elif hasattr(string, "isoformat"): # datetime.datetime, date, and time + return str + elif _isbool(string): + return bool + elif _isint(string) and numparse: + return int + elif _isnumber(string) and numparse: + return float + elif isinstance(string, bytes): + return bytes + else: + return str + + +def _afterpoint(string): + """Symbols after a decimal point, -1 if the string lacks the decimal point. + + >>> _afterpoint("123.45") + 2 + >>> _afterpoint("1001") + -1 + >>> _afterpoint("eggs") + -1 + >>> _afterpoint("123e45") + 2 + >>> _afterpoint("123,456.78") + 2 + + """ + if _isnumber(string) or _isnumber_with_thousands_separator(string): + if _isint(string): + return -1 + else: + pos = string.rfind(".") + pos = string.lower().rfind("e") if pos < 0 else pos + if pos >= 0: + return len(string) - pos - 1 + else: + return -1 # no point + else: + return -1 # not a number + + +def _padleft(width, s): + """Flush right. + + >>> _padleft(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430' + True + + """ + fmt = "{0:>%ds}" % width + return fmt.format(s) + + +def _padright(width, s): + """Flush left. + + >>> _padright(6, '\u044f\u0439\u0446\u0430') == '\u044f\u0439\u0446\u0430 ' + True + + """ + fmt = "{0:<%ds}" % width + return fmt.format(s) + + +def _padboth(width, s): + """Center string. + + >>> _padboth(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430 ' + True + + """ + fmt = "{0:^%ds}" % width + return fmt.format(s) + + +def _padnone(ignore_width, s): + return s + + +def _strip_ansi(s): + r"""Remove ANSI escape sequences, both CSI (color codes, etc) and OSC hyperlinks. + + CSI sequences are simply removed from the output, while OSC hyperlinks are replaced + with the link text. Note: it may be desirable to show the URI instead but this is not + supported. + + >>> repr(_strip_ansi('\x1B]8;;https://example.com\x1B\\This is a link\x1B]8;;\x1B\\')) + "'This is a link'" + + >>> repr(_strip_ansi('\x1b[31mred\x1b[0m text')) + "'red text'" + + """ + if isinstance(s, str): + return _ansi_codes.sub(r"\4", s) + else: # a bytestring + return _ansi_codes_bytes.sub(r"\4", s) + + +def _visible_width(s): + """Visible width of a printed string. ANSI color codes are removed. + + >>> _visible_width('\x1b[31mhello\x1b[0m'), _visible_width("world") + (5, 5) + + """ + # optional wide-character support + if wcwidth is not None and WIDE_CHARS_MODE: + len_fn = wcwidth.wcswidth + else: + len_fn = len + if isinstance(s, (str, bytes)): + return len_fn(_strip_ansi(s)) + else: + return len_fn(str(s)) + + +def _is_multiline(s): + if isinstance(s, str): + return bool(re.search(_multiline_codes, s)) + else: # a bytestring + return bool(re.search(_multiline_codes_bytes, s)) + + +def _multiline_width(multiline_s, line_width_fn=len): + """Visible width of a potentially multiline content.""" + return max(map(line_width_fn, re.split("[\r\n]", multiline_s))) + + +def _choose_width_fn(has_invisible, enable_widechars, is_multiline): + """Return a function to calculate visible cell width.""" + if has_invisible: + line_width_fn = _visible_width + elif enable_widechars: # optional wide-character support if available + line_width_fn = wcwidth.wcswidth + else: + line_width_fn = len + if is_multiline: + width_fn = lambda s: _multiline_width(s, line_width_fn) # noqa + else: + width_fn = line_width_fn + return width_fn + + +def _align_column_choose_padfn(strings, alignment, has_invisible): + if alignment == "right": + if not PRESERVE_WHITESPACE: + strings = [s.strip() for s in strings] + padfn = _padleft + elif alignment == "center": + if not PRESERVE_WHITESPACE: + strings = [s.strip() for s in strings] + padfn = _padboth + elif alignment == "decimal": + if has_invisible: + decimals = [_afterpoint(_strip_ansi(s)) for s in strings] + else: + decimals = [_afterpoint(s) for s in strings] + maxdecimals = max(decimals) + strings = [s + (maxdecimals - decs) * " " for s, decs in zip(strings, decimals)] + padfn = _padleft + elif not alignment: + padfn = _padnone + else: + if not PRESERVE_WHITESPACE: + strings = [s.strip() for s in strings] + padfn = _padright + return strings, padfn + + +def _align_column_choose_width_fn(has_invisible, enable_widechars, is_multiline): + if has_invisible: + line_width_fn = _visible_width + elif enable_widechars: # optional wide-character support if available + line_width_fn = wcwidth.wcswidth + else: + line_width_fn = len + if is_multiline: + width_fn = lambda s: _align_column_multiline_width(s, line_width_fn) # noqa + else: + width_fn = line_width_fn + return width_fn + + +def _align_column_multiline_width(multiline_s, line_width_fn=len): + """Visible width of a potentially multiline content.""" + return list(map(line_width_fn, re.split("[\r\n]", multiline_s))) + + +def _flat_list(nested_list): + ret = [] + for item in nested_list: + if isinstance(item, list): + for subitem in item: + ret.append(subitem) + else: + ret.append(item) + return ret + + +def _align_column( + strings, + alignment, + minwidth=0, + has_invisible=True, + enable_widechars=False, + is_multiline=False, +): + """[string] -> [padded_string]""" + strings, padfn = _align_column_choose_padfn(strings, alignment, has_invisible) + width_fn = _align_column_choose_width_fn( + has_invisible, enable_widechars, is_multiline + ) + + s_widths = list(map(width_fn, strings)) + maxwidth = max(max(_flat_list(s_widths)), minwidth) + # TODO: refactor column alignment in single-line and multiline modes + if is_multiline: + if not enable_widechars and not has_invisible: + padded_strings = [ + "\n".join([padfn(maxwidth, s) for s in ms.splitlines()]) + for ms in strings + ] + else: + # enable wide-character width corrections + s_lens = [[len(s) for s in re.split("[\r\n]", ms)] for ms in strings] + visible_widths = [ + [maxwidth - (w - l) for w, l in zip(mw, ml)] + for mw, ml in zip(s_widths, s_lens) + ] + # wcswidth and _visible_width don't count invisible characters; + # padfn doesn't need to apply another correction + padded_strings = [ + "\n".join([padfn(w, s) for s, w in zip((ms.splitlines() or ms), mw)]) + for ms, mw in zip(strings, visible_widths) + ] + else: # single-line cell values + if not enable_widechars and not has_invisible: + padded_strings = [padfn(maxwidth, s) for s in strings] + else: + # enable wide-character width corrections + s_lens = list(map(len, strings)) + visible_widths = [maxwidth - (w - l) for w, l in zip(s_widths, s_lens)] + # wcswidth and _visible_width don't count invisible characters; + # padfn doesn't need to apply another correction + padded_strings = [padfn(w, s) for s, w in zip(strings, visible_widths)] + return padded_strings + + +def _more_generic(type1, type2): + types = { + type(None): 0, # noqa + bool: 1, + int: 2, + float: 3, + bytes: 4, + str: 5, + } + invtypes = { + 5: str, + 4: bytes, + 3: float, + 2: int, + 1: bool, + 0: type(None), + } + moregeneric = max(types.get(type1, 5), types.get(type2, 5)) + return invtypes[moregeneric] + + +def _column_type(strings, has_invisible=True, numparse=True): + """The least generic type all column values are convertible to. + + >>> _column_type([True, False]) is bool + True + >>> _column_type(["1", "2"]) is int + True + >>> _column_type(["1", "2.3"]) is float + True + >>> _column_type(["1", "2.3", "four"]) is str + True + >>> _column_type(["four", '\u043f\u044f\u0442\u044c']) is str + True + >>> _column_type([None, "brux"]) is str + True + >>> _column_type([1, 2, None]) is int + True + >>> import datetime as dt + >>> _column_type([dt.datetime(1991,2,19), dt.time(17,35)]) is str + True + + """ + types = [_type(s, has_invisible, numparse) for s in strings] + return reduce(_more_generic, types, bool) + + +def _format(val, valtype, floatfmt, intfmt, missingval="", has_invisible=True): + """Format a value according to its type. + + Unicode is supported: + + >>> hrow = ['\u0431\u0443\u043a\u0432\u0430', '\u0446\u0438\u0444\u0440\u0430'] ; \ + tbl = [['\u0430\u0437', 2], ['\u0431\u0443\u043a\u0438', 4]] ; \ + good_result = '\\u0431\\u0443\\u043a\\u0432\\u0430 \\u0446\\u0438\\u0444\\u0440\\u0430\\n------- -------\\n\\u0430\\u0437 2\\n\\u0431\\u0443\\u043a\\u0438 4' ; \ + tabulate(tbl, headers=hrow) == good_result + True + + """ # noqa + if val is None: + return missingval + + if valtype is str: + return f"{val}" + elif valtype is int: + return format(val, intfmt) + elif valtype is bytes: + try: + return str(val, "ascii") + except (TypeError, UnicodeDecodeError): + return str(val) + elif valtype is float: + is_a_colored_number = has_invisible and isinstance(val, (str, bytes)) + if is_a_colored_number: + raw_val = _strip_ansi(val) + formatted_val = format(float(raw_val), floatfmt) + return val.replace(raw_val, formatted_val) + else: + return format(float(val), floatfmt) + else: + return f"{val}" + + +def _align_header( + header, alignment, width, visible_width, is_multiline=False, width_fn=None +): + "Pad string header to width chars given known visible_width of the header." + if is_multiline: + header_lines = re.split(_multiline_codes, header) + padded_lines = [ + _align_header(h, alignment, width, width_fn(h)) for h in header_lines + ] + return "\n".join(padded_lines) + # else: not multiline + ninvisible = len(header) - visible_width + width += ninvisible + if alignment == "left": + return _padright(width, header) + elif alignment == "center": + return _padboth(width, header) + elif not alignment: + return f"{header}" + else: + return _padleft(width, header) + + +def _remove_separating_lines(rows): + if type(rows) == list: + separating_lines = [] + sans_rows = [] + for index, row in enumerate(rows): + if _is_separating_line(row): + separating_lines.append(index) + else: + sans_rows.append(row) + return sans_rows, separating_lines + else: + return rows, None + + +def _reinsert_separating_lines(rows, separating_lines): + if separating_lines: + for index in separating_lines: + rows.insert(index, SEPARATING_LINE) + + +def _prepend_row_index(rows, index): + """Add a left-most index column.""" + if index is None or index is False: + return rows + if isinstance(index, Sized) and len(index) != len(rows): + raise ValueError( + "index must be as long as the number of data rows: " + + "len(index)={} len(rows)={}".format(len(index), len(rows)) + ) + sans_rows, separating_lines = _remove_separating_lines(rows) + new_rows = [] + index_iter = iter(index) + for row in sans_rows: + index_v = next(index_iter) + new_rows.append([index_v] + list(row)) + rows = new_rows + _reinsert_separating_lines(rows, separating_lines) + return rows + + +def _bool(val): + "A wrapper around standard bool() which doesn't throw on NumPy arrays" + try: + return bool(val) + except ValueError: # val is likely to be a numpy array with many elements + return False + + +def _normalize_tabular_data(tabular_data, headers, showindex="default"): + """Transform a supported data type to a list of lists, and a list of headers. + + Supported tabular data types: + + * list-of-lists or another iterable of iterables + + * list of named tuples (usually used with headers="keys") + + * list of dicts (usually used with headers="keys") + + * list of OrderedDicts (usually used with headers="keys") + + * list of dataclasses (Python 3.7+ only, usually used with headers="keys") + + * 2D NumPy arrays + + * NumPy record arrays (usually used with headers="keys") + + * dict of iterables (usually used with headers="keys") + + * pandas.DataFrame (usually used with headers="keys") + + The first row can be used as headers if headers="firstrow", + column indices can be used as headers if headers="keys". + + If showindex="default", show row indices of the pandas.DataFrame. + If showindex="always", show row indices for all types of data. + If showindex="never", don't show row indices for all types of data. + If showindex is an iterable, show its values as row indices. + + """ + + try: + bool(headers) + is_headers2bool_broken = False # noqa + except ValueError: # numpy.ndarray, pandas.core.index.Index, ... + is_headers2bool_broken = True # noqa + headers = list(headers) + + index = None + if hasattr(tabular_data, "keys") and hasattr(tabular_data, "values"): + # dict-like and pandas.DataFrame? + if hasattr(tabular_data.values, "__call__"): + # likely a conventional dict + keys = tabular_data.keys() + rows = list( + izip_longest(*tabular_data.values()) + ) # columns have to be transposed + elif hasattr(tabular_data, "index"): + # values is a property, has .index => it's likely a pandas.DataFrame (pandas 0.11.0) + keys = list(tabular_data) + if ( + showindex in ["default", "always", True] + and tabular_data.index.name is not None + ): + if isinstance(tabular_data.index.name, list): + keys[:0] = tabular_data.index.name + else: + keys[:0] = [tabular_data.index.name] + vals = tabular_data.values # values matrix doesn't need to be transposed + # for DataFrames add an index per default + index = list(tabular_data.index) + rows = [list(row) for row in vals] + else: + raise ValueError("tabular data doesn't appear to be a dict or a DataFrame") + + if headers == "keys": + headers = list(map(str, keys)) # headers should be strings + + else: # it's a usual iterable of iterables, or a NumPy array, or an iterable of dataclasses + rows = list(tabular_data) + + if headers == "keys" and not rows: + # an empty table (issue #81) + headers = [] + elif ( + headers == "keys" + and hasattr(tabular_data, "dtype") + and getattr(tabular_data.dtype, "names") + ): + # numpy record array + headers = tabular_data.dtype.names + elif ( + headers == "keys" + and len(rows) > 0 + and isinstance(rows[0], tuple) + and hasattr(rows[0], "_fields") + ): + # namedtuple + headers = list(map(str, rows[0]._fields)) + elif len(rows) > 0 and hasattr(rows[0], "keys") and hasattr(rows[0], "values"): + # dict-like object + uniq_keys = set() # implements hashed lookup + keys = [] # storage for set + if headers == "firstrow": + firstdict = rows[0] if len(rows) > 0 else {} + keys.extend(firstdict.keys()) + uniq_keys.update(keys) + rows = rows[1:] + for row in rows: + for k in row.keys(): + # Save unique items in input order + if k not in uniq_keys: + keys.append(k) + uniq_keys.add(k) + if headers == "keys": + headers = keys + elif isinstance(headers, dict): + # a dict of headers for a list of dicts + headers = [headers.get(k, k) for k in keys] + headers = list(map(str, headers)) + elif headers == "firstrow": + if len(rows) > 0: + headers = [firstdict.get(k, k) for k in keys] + headers = list(map(str, headers)) + else: + headers = [] + elif headers: + raise ValueError( + "headers for a list of dicts is not a dict or a keyword" + ) + rows = [[row.get(k) for k in keys] for row in rows] + + elif ( + headers == "keys" + and hasattr(tabular_data, "description") + and hasattr(tabular_data, "fetchone") + and hasattr(tabular_data, "rowcount") + ): + # Python Database API cursor object (PEP 0249) + # print tabulate(cursor, headers='keys') + headers = [column[0] for column in tabular_data.description] + + elif ( + dataclasses is not None + and len(rows) > 0 + and dataclasses.is_dataclass(rows[0]) + ): + # Python 3.7+'s dataclass + field_names = [field.name for field in dataclasses.fields(rows[0])] + if headers == "keys": + headers = field_names + rows = [[getattr(row, f) for f in field_names] for row in rows] + + elif headers == "keys" and len(rows) > 0: + # keys are column indices + headers = list(map(str, range(len(rows[0])))) + + # take headers from the first row if necessary + if headers == "firstrow" and len(rows) > 0: + if index is not None: + headers = [index[0]] + list(rows[0]) + index = index[1:] + else: + headers = rows[0] + headers = list(map(str, headers)) # headers should be strings + rows = rows[1:] + elif headers == "firstrow": + headers = [] + + headers = list(map(str, headers)) + # rows = list(map(list, rows)) + rows = list(map(lambda r: r if _is_separating_line(r) else list(r), rows)) + + # add or remove an index column + showindex_is_a_str = type(showindex) in [str, bytes] + if showindex == "default" and index is not None: + rows = _prepend_row_index(rows, index) + elif isinstance(showindex, Sized) and not showindex_is_a_str: + rows = _prepend_row_index(rows, list(showindex)) + elif isinstance(showindex, Iterable) and not showindex_is_a_str: + rows = _prepend_row_index(rows, showindex) + elif showindex == "always" or (_bool(showindex) and not showindex_is_a_str): + if index is None: + index = list(range(len(rows))) + rows = _prepend_row_index(rows, index) + elif showindex == "never" or (not _bool(showindex) and not showindex_is_a_str): + pass + + # pad with empty headers for initial columns if necessary + if headers and len(rows) > 0: + nhs = len(headers) + ncols = len(rows[0]) + if nhs < ncols: + headers = [""] * (ncols - nhs) + headers + + return rows, headers + + +def _wrap_text_to_colwidths(list_of_lists, colwidths, numparses=True): + numparses = _expand_iterable(numparses, len(list_of_lists[0]), True) + + result = [] + + for row in list_of_lists: + new_row = [] + for cell, width, numparse in zip(row, colwidths, numparses): + if _isnumber(cell) and numparse: + new_row.append(cell) + continue + + if width is not None: + wrapper = _CustomTextWrap(width=width) + # Cast based on our internal type handling + # Any future custom formatting of types (such as datetimes) + # may need to be more explicit than just `str` of the object + casted_cell = ( + str(cell) if _isnumber(cell) else _type(cell, numparse)(cell) + ) + wrapped = wrapper.wrap(casted_cell) + new_row.append("\n".join(wrapped)) + else: + new_row.append(cell) + result.append(new_row) + + return result + + +def _to_str(s, encoding="utf8", errors="ignore"): + """ + A type safe wrapper for converting a bytestring to str. This is essentially just + a wrapper around .decode() intended for use with things like map(), but with some + specific behavior: + + 1. if the given parameter is not a bytestring, it is returned unmodified + 2. decode() is called for the given parameter and assumes utf8 encoding, but the + default error behavior is changed from 'strict' to 'ignore' + + >>> repr(_to_str(b'foo')) + "'foo'" + + >>> repr(_to_str('foo')) + "'foo'" + + >>> repr(_to_str(42)) + "'42'" + + """ + if isinstance(s, bytes): + return s.decode(encoding=encoding, errors=errors) + return str(s) + + +def tabulate( + tabular_data, + headers=(), + tablefmt="simple", + floatfmt=_DEFAULT_FLOATFMT, + intfmt=_DEFAULT_INTFMT, + numalign=_DEFAULT_ALIGN, + stralign=_DEFAULT_ALIGN, + missingval=_DEFAULT_MISSINGVAL, + showindex="default", + disable_numparse=False, + colalign=None, + maxcolwidths=None, + rowalign=None, + maxheadercolwidths=None, +): + """Format a fixed width table for pretty printing. + + >>> print(tabulate([[1, 2.34], [-56, "8.999"], ["2", "10001"]])) + --- --------- + 1 2.34 + -56 8.999 + 2 10001 + --- --------- + + The first required argument (`tabular_data`) can be a + list-of-lists (or another iterable of iterables), a list of named + tuples, a dictionary of iterables, an iterable of dictionaries, + an iterable of dataclasses (Python 3.7+), a two-dimensional NumPy array, + NumPy record array, or a Pandas' dataframe. + + + Table headers + ------------- + + To print nice column headers, supply the second argument (`headers`): + + - `headers` can be an explicit list of column headers + - if `headers="firstrow"`, then the first row of data is used + - if `headers="keys"`, then dictionary keys or column indices are used + + Otherwise a headerless table is produced. + + If the number of headers is less than the number of columns, they + are supposed to be names of the last columns. This is consistent + with the plain-text format of R and Pandas' dataframes. + + >>> print(tabulate([["sex","age"],["Alice","F",24],["Bob","M",19]], + ... headers="firstrow")) + sex age + ----- ----- ----- + Alice F 24 + Bob M 19 + + By default, pandas.DataFrame data have an additional column called + row index. To add a similar column to all other types of data, + use `showindex="always"` or `showindex=True`. To suppress row indices + for all types of data, pass `showindex="never" or `showindex=False`. + To add a custom row index column, pass `showindex=some_iterable`. + + >>> print(tabulate([["F",24],["M",19]], showindex="always")) + - - -- + 0 F 24 + 1 M 19 + - - -- + + + Column alignment + ---------------- + + `tabulate` tries to detect column types automatically, and aligns + the values properly. By default it aligns decimal points of the + numbers (or flushes integer numbers to the right), and flushes + everything else to the left. Possible column alignments + (`numalign`, `stralign`) are: "right", "center", "left", "decimal" + (only for `numalign`), and None (to disable alignment). + + + Table formats + ------------- + + `intfmt` is a format specification used for columns which + contain numeric data without a decimal point. This can also be + a list or tuple of format strings, one per column. + + `floatfmt` is a format specification used for columns which + contain numeric data with a decimal point. This can also be + a list or tuple of format strings, one per column. + + `None` values are replaced with a `missingval` string (like + `floatfmt`, this can also be a list of values for different + columns): + + >>> print(tabulate([["spam", 1, None], + ... ["eggs", 42, 3.14], + ... ["other", None, 2.7]], missingval="?")) + ----- -- ---- + spam 1 ? + eggs 42 3.14 + other ? 2.7 + ----- -- ---- + + Various plain-text table formats (`tablefmt`) are supported: + 'plain', 'simple', 'grid', 'pipe', 'orgtbl', 'rst', 'mediawiki', + 'latex', 'latex_raw', 'latex_booktabs', 'latex_longtable' and tsv. + Variable `tabulate_formats`contains the list of currently supported formats. + + "plain" format doesn't use any pseudographics to draw tables, + it separates columns with a double space: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "plain")) + strings numbers + spam 41.9999 + eggs 451 + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="plain")) + spam 41.9999 + eggs 451 + + "simple" format is like Pandoc simple_tables: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "simple")) + strings numbers + --------- --------- + spam 41.9999 + eggs 451 + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="simple")) + ---- -------- + spam 41.9999 + eggs 451 + ---- -------- + + "grid" is similar to tables produced by Emacs table.el package or + Pandoc grid_tables: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "grid")) + +-----------+-----------+ + | strings | numbers | + +===========+===========+ + | spam | 41.9999 | + +-----------+-----------+ + | eggs | 451 | + +-----------+-----------+ + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="grid")) + +------+----------+ + | spam | 41.9999 | + +------+----------+ + | eggs | 451 | + +------+----------+ + + "simple_grid" draws a grid using single-line box-drawing + characters: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "simple_grid")) + ┌───────────┬───────────┐ + │ strings │ numbers │ + ├───────────┼───────────┤ + │ spam │ 41.9999 │ + ├───────────┼───────────┤ + │ eggs │ 451 │ + └───────────┴───────────┘ + + "rounded_grid" draws a grid using single-line box-drawing + characters with rounded corners: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "rounded_grid")) + ╭───────────┬───────────╮ + │ strings │ numbers │ + ├───────────┼───────────┤ + │ spam │ 41.9999 │ + ├───────────┼───────────┤ + │ eggs │ 451 │ + ╰───────────┴───────────╯ + + "heavy_grid" draws a grid using bold (thick) single-line box-drawing + characters: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "heavy_grid")) + ┏━━━━━━━━━━━┳━━━━━━━━━━━┓ + ┃ strings ┃ numbers ┃ + ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ + ┃ spam ┃ 41.9999 ┃ + ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ + ┃ eggs ┃ 451 ┃ + ┗━━━━━━━━━━━┻━━━━━━━━━━━┛ + + "mixed_grid" draws a grid using a mix of light (thin) and heavy (thick) lines + box-drawing characters: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "mixed_grid")) + ┍━━━━━━━━━━━┯━━━━━━━━━━━┑ + │ strings │ numbers │ + ┝━━━━━━━━━━━┿━━━━━━━━━━━┥ + │ spam │ 41.9999 │ + ├───────────┼───────────┤ + │ eggs │ 451 │ + ┕━━━━━━━━━━━┷━━━━━━━━━━━┙ + + "double_grid" draws a grid using double-line box-drawing + characters: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "double_grid")) + ╔═══════════╦═══════════╗ + ║ strings ║ numbers ║ + ╠═══════════╬═══════════╣ + ║ spam ║ 41.9999 ║ + ╠═══════════╬═══════════╣ + ║ eggs ║ 451 ║ + ╚═══════════╩═══════════╝ + + "fancy_grid" draws a grid using a mix of single and + double-line box-drawing characters: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "fancy_grid")) + ╒═══════════╤═══════════╕ + │ strings │ numbers │ + ╞═══════════╪═══════════╡ + │ spam │ 41.9999 │ + ├───────────┼───────────┤ + │ eggs │ 451 │ + ╘═══════════╧═══════════╛ + + "outline" is the same as the "grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "outline")) + +-----------+-----------+ + | strings | numbers | + +===========+===========+ + | spam | 41.9999 | + | eggs | 451 | + +-----------+-----------+ + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="outline")) + +------+----------+ + | spam | 41.9999 | + | eggs | 451 | + +------+----------+ + + "simple_outline" is the same as the "simple_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "simple_outline")) + ┌───────────┬───────────┐ + │ strings │ numbers │ + ├───────────┼───────────┤ + │ spam │ 41.9999 │ + │ eggs │ 451 │ + └───────────┴───────────┘ + + "rounded_outline" is the same as the "rounded_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "rounded_outline")) + ╭───────────┬───────────╮ + │ strings │ numbers │ + ├───────────┼───────────┤ + │ spam │ 41.9999 │ + │ eggs │ 451 │ + ╰───────────┴───────────╯ + + "heavy_outline" is the same as the "heavy_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "heavy_outline")) + ┏━━━━━━━━━━━┳━━━━━━━━━━━┓ + ┃ strings ┃ numbers ┃ + ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ + ┃ spam ┃ 41.9999 ┃ + ┃ eggs ┃ 451 ┃ + ┗━━━━━━━━━━━┻━━━━━━━━━━━┛ + + "mixed_outline" is the same as the "mixed_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "mixed_outline")) + ┍━━━━━━━━━━━┯━━━━━━━━━━━┑ + │ strings │ numbers │ + ┝━━━━━━━━━━━┿━━━━━━━━━━━┥ + │ spam │ 41.9999 │ + │ eggs │ 451 │ + ┕━━━━━━━━━━━┷━━━━━━━━━━━┙ + + "double_outline" is the same as the "double_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "double_outline")) + ╔═══════════╦═══════════╗ + ║ strings ║ numbers ║ + ╠═══════════╬═══════════╣ + ║ spam ║ 41.9999 ║ + ║ eggs ║ 451 ║ + ╚═══════════╩═══════════╝ + + "fancy_outline" is the same as the "fancy_grid" format but doesn't draw lines between rows: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "fancy_outline")) + ╒═══════════╤═══════════╕ + │ strings │ numbers │ + ╞═══════════╪═══════════╡ + │ spam │ 41.9999 │ + │ eggs │ 451 │ + ╘═══════════╧═══════════╛ + + "pipe" is like tables in PHP Markdown Extra extension or Pandoc + pipe_tables: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "pipe")) + | strings | numbers | + |:----------|----------:| + | spam | 41.9999 | + | eggs | 451 | + + "presto" is like tables produce by the Presto CLI: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "presto")) + strings | numbers + -----------+----------- + spam | 41.9999 + eggs | 451 + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="pipe")) + |:-----|---------:| + | spam | 41.9999 | + | eggs | 451 | + + "orgtbl" is like tables in Emacs org-mode and orgtbl-mode. They + are slightly different from "pipe" format by not using colons to + define column alignment, and using a "+" sign to indicate line + intersections: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "orgtbl")) + | strings | numbers | + |-----------+-----------| + | spam | 41.9999 | + | eggs | 451 | + + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="orgtbl")) + | spam | 41.9999 | + | eggs | 451 | + + "rst" is like a simple table format from reStructuredText; please + note that reStructuredText accepts also "grid" tables: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], + ... ["strings", "numbers"], "rst")) + ========= ========= + strings numbers + ========= ========= + spam 41.9999 + eggs 451 + ========= ========= + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="rst")) + ==== ======== + spam 41.9999 + eggs 451 + ==== ======== + + "mediawiki" produces a table markup used in Wikipedia and on other + MediaWiki-based sites: + + >>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]], + ... headers="firstrow", tablefmt="mediawiki")) + {| class="wikitable" style="text-align: left;" + |+ + |- + ! strings !! align="right"| numbers + |- + | spam || align="right"| 41.9999 + |- + | eggs || align="right"| 451 + |} + + "html" produces HTML markup as an html.escape'd str + with a ._repr_html_ method so that Jupyter Lab and Notebook display the HTML + and a .str property so that the raw HTML remains accessible + the unsafehtml table format can be used if an unescaped HTML format is required: + + >>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]], + ... headers="firstrow", tablefmt="html")) + + + + + + + + +
strings numbers
spam 41.9999
eggs 451
+ + "latex" produces a tabular environment of LaTeX document markup: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex")) + \\begin{tabular}{lr} + \\hline + spam & 41.9999 \\\\ + eggs & 451 \\\\ + \\hline + \\end{tabular} + + "latex_raw" is similar to "latex", but doesn't escape special characters, + such as backslash and underscore, so LaTeX commands may embedded into + cells' values: + + >>> print(tabulate([["spam$_9$", 41.9999], ["\\\\emph{eggs}", "451.0"]], tablefmt="latex_raw")) + \\begin{tabular}{lr} + \\hline + spam$_9$ & 41.9999 \\\\ + \\emph{eggs} & 451 \\\\ + \\hline + \\end{tabular} + + "latex_booktabs" produces a tabular environment of LaTeX document markup + using the booktabs.sty package: + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_booktabs")) + \\begin{tabular}{lr} + \\toprule + spam & 41.9999 \\\\ + eggs & 451 \\\\ + \\bottomrule + \\end{tabular} + + "latex_longtable" produces a tabular environment that can stretch along + multiple pages, using the longtable package for LaTeX. + + >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_longtable")) + \\begin{longtable}{lr} + \\hline + spam & 41.9999 \\\\ + eggs & 451 \\\\ + \\hline + \\end{longtable} + + + Number parsing + -------------- + By default, anything which can be parsed as a number is a number. + This ensures numbers represented as strings are aligned properly. + This can lead to weird results for particular strings such as + specific git SHAs e.g. "42992e1" will be parsed into the number + 429920 and aligned as such. + + To completely disable number parsing (and alignment), use + `disable_numparse=True`. For more fine grained control, a list column + indices is used to disable number parsing only on those columns + e.g. `disable_numparse=[0, 2]` would disable number parsing only on the + first and third columns. + + Column Widths and Auto Line Wrapping + ------------------------------------ + Tabulate will, by default, set the width of each column to the length of the + longest element in that column. However, in situations where fields are expected + to reasonably be too long to look good as a single line, tabulate can help automate + word wrapping long fields for you. Use the parameter `maxcolwidth` to provide a + list of maximal column widths + + >>> print(tabulate( \ + [('1', 'John Smith', \ + 'This is a rather long description that might look better if it is wrapped a bit')], \ + headers=("Issue Id", "Author", "Description"), \ + maxcolwidths=[None, None, 30], \ + tablefmt="grid" \ + )) + +------------+------------+-------------------------------+ + | Issue Id | Author | Description | + +============+============+===============================+ + | 1 | John Smith | This is a rather long | + | | | description that might look | + | | | better if it is wrapped a bit | + +------------+------------+-------------------------------+ + + Header column width can be specified in a similar way using `maxheadercolwidth` + + """ + + if tabular_data is None: + tabular_data = [] + + list_of_lists, headers = _normalize_tabular_data( + tabular_data, headers, showindex=showindex + ) + list_of_lists, separating_lines = _remove_separating_lines(list_of_lists) + + if maxcolwidths is not None: + num_cols = len(list_of_lists[0]) + if isinstance(maxcolwidths, int): # Expand scalar for all columns + maxcolwidths = _expand_iterable(maxcolwidths, num_cols, maxcolwidths) + else: # Ignore col width for any 'trailing' columns + maxcolwidths = _expand_iterable(maxcolwidths, num_cols, None) + + numparses = _expand_numparse(disable_numparse, num_cols) + list_of_lists = _wrap_text_to_colwidths( + list_of_lists, maxcolwidths, numparses=numparses + ) + + if maxheadercolwidths is not None: + num_cols = len(list_of_lists[0]) + if isinstance(maxheadercolwidths, int): # Expand scalar for all columns + maxheadercolwidths = _expand_iterable( + maxheadercolwidths, num_cols, maxheadercolwidths + ) + else: # Ignore col width for any 'trailing' columns + maxheadercolwidths = _expand_iterable(maxheadercolwidths, num_cols, None) + + numparses = _expand_numparse(disable_numparse, num_cols) + headers = _wrap_text_to_colwidths( + [headers], maxheadercolwidths, numparses=numparses + )[0] + + # empty values in the first column of RST tables should be escaped (issue #82) + # "" should be escaped as "\\ " or ".." + if tablefmt == "rst": + list_of_lists, headers = _rst_escape_first_column(list_of_lists, headers) + + # PrettyTable formatting does not use any extra padding. + # Numbers are not parsed and are treated the same as strings for alignment. + # Check if pretty is the format being used and override the defaults so it + # does not impact other formats. + min_padding = MIN_PADDING + if tablefmt == "pretty": + min_padding = 0 + disable_numparse = True + numalign = "center" if numalign == _DEFAULT_ALIGN else numalign + stralign = "center" if stralign == _DEFAULT_ALIGN else stralign + else: + numalign = "decimal" if numalign == _DEFAULT_ALIGN else numalign + stralign = "left" if stralign == _DEFAULT_ALIGN else stralign + + # optimization: look for ANSI control codes once, + # enable smart width functions only if a control code is found + # + # convert the headers and rows into a single, tab-delimited string ensuring + # that any bytestrings are decoded safely (i.e. errors ignored) + plain_text = "\t".join( + chain( + # headers + map(_to_str, headers), + # rows: chain the rows together into a single iterable after mapping + # the bytestring conversino to each cell value + chain.from_iterable(map(_to_str, row) for row in list_of_lists), + ) + ) + + has_invisible = _ansi_codes.search(plain_text) is not None + + enable_widechars = wcwidth is not None and WIDE_CHARS_MODE + if ( + not isinstance(tablefmt, TableFormat) + and tablefmt in multiline_formats + and _is_multiline(plain_text) + ): + tablefmt = multiline_formats.get(tablefmt, tablefmt) + is_multiline = True + else: + is_multiline = False + width_fn = _choose_width_fn(has_invisible, enable_widechars, is_multiline) + + # format rows and columns, convert numeric values to strings + cols = list(izip_longest(*list_of_lists)) + numparses = _expand_numparse(disable_numparse, len(cols)) + coltypes = [_column_type(col, numparse=np) for col, np in zip(cols, numparses)] + if isinstance(floatfmt, str): # old version + float_formats = len(cols) * [ + floatfmt + ] # just duplicate the string to use in each column + else: # if floatfmt is list, tuple etc we have one per column + float_formats = list(floatfmt) + if len(float_formats) < len(cols): + float_formats.extend((len(cols) - len(float_formats)) * [_DEFAULT_FLOATFMT]) + if isinstance(intfmt, str): # old version + int_formats = len(cols) * [ + intfmt + ] # just duplicate the string to use in each column + else: # if intfmt is list, tuple etc we have one per column + int_formats = list(intfmt) + if len(int_formats) < len(cols): + int_formats.extend((len(cols) - len(int_formats)) * [_DEFAULT_INTFMT]) + if isinstance(missingval, str): + missing_vals = len(cols) * [missingval] + else: + missing_vals = list(missingval) + if len(missing_vals) < len(cols): + missing_vals.extend((len(cols) - len(missing_vals)) * [_DEFAULT_MISSINGVAL]) + cols = [ + [_format(v, ct, fl_fmt, int_fmt, miss_v, has_invisible) for v in c] + for c, ct, fl_fmt, int_fmt, miss_v in zip( + cols, coltypes, float_formats, int_formats, missing_vals + ) + ] + + # align columns + aligns = [numalign if ct in [int, float] else stralign for ct in coltypes] + if colalign is not None: + assert isinstance(colalign, Iterable) + for idx, align in enumerate(colalign): + aligns[idx] = align + minwidths = ( + [width_fn(h) + min_padding for h in headers] if headers else [0] * len(cols) + ) + cols = [ + _align_column(c, a, minw, has_invisible, enable_widechars, is_multiline) + for c, a, minw in zip(cols, aligns, minwidths) + ] + + if headers: + # align headers and add headers + t_cols = cols or [[""]] * len(headers) + t_aligns = aligns or [stralign] * len(headers) + minwidths = [ + max(minw, max(width_fn(cl) for cl in c)) + for minw, c in zip(minwidths, t_cols) + ] + headers = [ + _align_header(h, a, minw, width_fn(h), is_multiline, width_fn) + for h, a, minw in zip(headers, t_aligns, minwidths) + ] + rows = list(zip(*cols)) + else: + minwidths = [max(width_fn(cl) for cl in c) for c in cols] + rows = list(zip(*cols)) + + if not isinstance(tablefmt, TableFormat): + tablefmt = _table_formats.get(tablefmt, _table_formats["simple"]) + + ra_default = rowalign if isinstance(rowalign, str) else None + rowaligns = _expand_iterable(rowalign, len(rows), ra_default) + _reinsert_separating_lines(rows, separating_lines) + + return _format_table( + tablefmt, headers, rows, minwidths, aligns, is_multiline, rowaligns=rowaligns + ) + + +def _expand_numparse(disable_numparse, column_count): + """ + Return a list of bools of length `column_count` which indicates whether + number parsing should be used on each column. + If `disable_numparse` is a list of indices, each of those indices are False, + and everything else is True. + If `disable_numparse` is a bool, then the returned list is all the same. + """ + if isinstance(disable_numparse, Iterable): + numparses = [True] * column_count + for index in disable_numparse: + numparses[index] = False + return numparses + else: + return [not disable_numparse] * column_count + + +def _expand_iterable(original, num_desired, default): + """ + Expands the `original` argument to return a return a list of + length `num_desired`. If `original` is shorter than `num_desired`, it will + be padded with the value in `default`. + If `original` is not a list to begin with (i.e. scalar value) a list of + length `num_desired` completely populated with `default will be returned + """ + if isinstance(original, Iterable) and not isinstance(original, str): + return original + [default] * (num_desired - len(original)) + else: + return [default] * num_desired + + +def _pad_row(cells, padding): + if cells: + pad = " " * padding + padded_cells = [pad + cell + pad for cell in cells] + return padded_cells + else: + return cells + + +def _build_simple_row(padded_cells, rowfmt): + "Format row according to DataRow format without padding." + begin, sep, end = rowfmt + return (begin + sep.join(padded_cells) + end).rstrip() + + +def _build_row(padded_cells, colwidths, colaligns, rowfmt): + "Return a string which represents a row of data cells." + if not rowfmt: + return None + if hasattr(rowfmt, "__call__"): + return rowfmt(padded_cells, colwidths, colaligns) + else: + return _build_simple_row(padded_cells, rowfmt) + + +def _append_basic_row(lines, padded_cells, colwidths, colaligns, rowfmt, rowalign=None): + # NOTE: rowalign is ignored and exists for api compatibility with _append_multiline_row + lines.append(_build_row(padded_cells, colwidths, colaligns, rowfmt)) + return lines + + +def _align_cell_veritically(text_lines, num_lines, column_width, row_alignment): + delta_lines = num_lines - len(text_lines) + blank = [" " * column_width] + if row_alignment == "bottom": + return blank * delta_lines + text_lines + elif row_alignment == "center": + top_delta = delta_lines // 2 + bottom_delta = delta_lines - top_delta + return top_delta * blank + text_lines + bottom_delta * blank + else: + return text_lines + blank * delta_lines + + +def _append_multiline_row( + lines, padded_multiline_cells, padded_widths, colaligns, rowfmt, pad, rowalign=None +): + colwidths = [w - 2 * pad for w in padded_widths] + cells_lines = [c.splitlines() for c in padded_multiline_cells] + nlines = max(map(len, cells_lines)) # number of lines in the row + # vertically pad cells where some lines are missing + # cells_lines = [ + # (cl + [" " * w] * (nlines - len(cl))) for cl, w in zip(cells_lines, colwidths) + # ] + + cells_lines = [ + _align_cell_veritically(cl, nlines, w, rowalign) + for cl, w in zip(cells_lines, colwidths) + ] + lines_cells = [[cl[i] for cl in cells_lines] for i in range(nlines)] + for ln in lines_cells: + padded_ln = _pad_row(ln, pad) + _append_basic_row(lines, padded_ln, colwidths, colaligns, rowfmt) + return lines + + +def _build_line(colwidths, colaligns, linefmt): + "Return a string which represents a horizontal line." + if not linefmt: + return None + if hasattr(linefmt, "__call__"): + return linefmt(colwidths, colaligns) + else: + begin, fill, sep, end = linefmt + cells = [fill * w for w in colwidths] + return _build_simple_row(cells, (begin, sep, end)) + + +def _append_line(lines, colwidths, colaligns, linefmt): + lines.append(_build_line(colwidths, colaligns, linefmt)) + return lines + + +class JupyterHTMLStr(str): + """Wrap the string with a _repr_html_ method so that Jupyter + displays the HTML table""" + + def _repr_html_(self): + return self + + @property + def str(self): + """add a .str property so that the raw string is still accessible""" + return self + + +def _format_table(fmt, headers, rows, colwidths, colaligns, is_multiline, rowaligns): + """Produce a plain-text representation of the table.""" + lines = [] + hidden = fmt.with_header_hide if (headers and fmt.with_header_hide) else [] + pad = fmt.padding + headerrow = fmt.headerrow + + padded_widths = [(w + 2 * pad) for w in colwidths] + if is_multiline: + pad_row = lambda row, _: row # noqa do it later, in _append_multiline_row + append_row = partial(_append_multiline_row, pad=pad) + else: + pad_row = _pad_row + append_row = _append_basic_row + + padded_headers = pad_row(headers, pad) + padded_rows = [pad_row(row, pad) for row in rows] + + if fmt.lineabove and "lineabove" not in hidden: + _append_line(lines, padded_widths, colaligns, fmt.lineabove) + + if padded_headers: + append_row(lines, padded_headers, padded_widths, colaligns, headerrow) + if fmt.linebelowheader and "linebelowheader" not in hidden: + _append_line(lines, padded_widths, colaligns, fmt.linebelowheader) + + if padded_rows and fmt.linebetweenrows and "linebetweenrows" not in hidden: + # initial rows with a line below + for row, ralign in zip(padded_rows[:-1], rowaligns): + append_row( + lines, row, padded_widths, colaligns, fmt.datarow, rowalign=ralign + ) + _append_line(lines, padded_widths, colaligns, fmt.linebetweenrows) + # the last row without a line below + append_row( + lines, + padded_rows[-1], + padded_widths, + colaligns, + fmt.datarow, + rowalign=rowaligns[-1], + ) + else: + separating_line = ( + fmt.linebetweenrows + or fmt.linebelowheader + or fmt.linebelow + or fmt.lineabove + or Line("", "", "", "") + ) + for row in padded_rows: + # test to see if either the 1st column or the 2nd column (account for showindex) has + # the SEPARATING_LINE flag + if _is_separating_line(row): + _append_line(lines, padded_widths, colaligns, separating_line) + else: + append_row(lines, row, padded_widths, colaligns, fmt.datarow) + + if fmt.linebelow and "linebelow" not in hidden: + _append_line(lines, padded_widths, colaligns, fmt.linebelow) + + if headers or rows: + output = "\n".join(lines) + if fmt.lineabove == _html_begin_table_without_header: + return JupyterHTMLStr(output) + else: + return output + else: # a completely empty table + return "" + + +class _CustomTextWrap(textwrap.TextWrapper): + """A custom implementation of CPython's textwrap.TextWrapper. This supports + both wide characters (Korea, Japanese, Chinese) - including mixed string. + For the most part, the `_handle_long_word` and `_wrap_chunks` functions were + copy pasted out of the CPython baseline, and updated with our custom length + and line appending logic. + """ + + def __init__(self, *args, **kwargs): + self._active_codes = [] + self.max_lines = None # For python2 compatibility + textwrap.TextWrapper.__init__(self, *args, **kwargs) + + @staticmethod + def _len(item): + """Custom len that gets console column width for wide + and non-wide characters as well as ignores color codes""" + stripped = _strip_ansi(item) + if wcwidth: + return wcwidth.wcswidth(stripped) + else: + return len(stripped) + + def _update_lines(self, lines, new_line): + """Adds a new line to the list of lines the text is being wrapped into + This function will also track any ANSI color codes in this string as well + as add any colors from previous lines order to preserve the same formatting + as a single unwrapped string. + """ + code_matches = [x for x in _ansi_codes.finditer(new_line)] + color_codes = [ + code.string[code.span()[0] : code.span()[1]] for code in code_matches + ] + + # Add color codes from earlier in the unwrapped line, and then track any new ones we add. + new_line = "".join(self._active_codes) + new_line + + for code in color_codes: + if code != _ansi_color_reset_code: + self._active_codes.append(code) + else: # A single reset code resets everything + self._active_codes = [] + + # Always ensure each line is color terminted if any colors are + # still active, otherwise colors will bleed into other cells on the console + if len(self._active_codes) > 0: + new_line = new_line + _ansi_color_reset_code + + lines.append(new_line) + + def _handle_long_word(self, reversed_chunks, cur_line, cur_len, width): + """_handle_long_word(chunks : [string], + cur_line : [string], + cur_len : int, width : int) + Handle a chunk of text (most likely a word, not whitespace) that + is too long to fit in any line. + """ + # Figure out when indent is larger than the specified width, and make + # sure at least one character is stripped off on every pass + if width < 1: + space_left = 1 + else: + space_left = width - cur_len + + # If we're allowed to break long words, then do so: put as much + # of the next chunk onto the current line as will fit. + if self.break_long_words: + # Tabulate Custom: Build the string up piece-by-piece in order to + # take each charcter's width into account + chunk = reversed_chunks[-1] + i = 1 + while self._len(chunk[:i]) <= space_left: + i = i + 1 + cur_line.append(chunk[: i - 1]) + reversed_chunks[-1] = chunk[i - 1 :] + + # Otherwise, we have to preserve the long word intact. Only add + # it to the current line if there's nothing already there -- + # that minimizes how much we violate the width constraint. + elif not cur_line: + cur_line.append(reversed_chunks.pop()) + + # If we're not allowed to break long words, and there's already + # text on the current line, do nothing. Next time through the + # main loop of _wrap_chunks(), we'll wind up here again, but + # cur_len will be zero, so the next line will be entirely + # devoted to the long word that we can't handle right now. + + def _wrap_chunks(self, chunks): + """_wrap_chunks(chunks : [string]) -> [string] + Wrap a sequence of text chunks and return a list of lines of + length 'self.width' or less. (If 'break_long_words' is false, + some lines may be longer than this.) Chunks correspond roughly + to words and the whitespace between them: each chunk is + indivisible (modulo 'break_long_words'), but a line break can + come between any two chunks. Chunks should not have internal + whitespace; ie. a chunk is either all whitespace or a "word". + Whitespace chunks will be removed from the beginning and end of + lines, but apart from that whitespace is preserved. + """ + lines = [] + if self.width <= 0: + raise ValueError("invalid width %r (must be > 0)" % self.width) + if self.max_lines is not None: + if self.max_lines > 1: + indent = self.subsequent_indent + else: + indent = self.initial_indent + if self._len(indent) + self._len(self.placeholder.lstrip()) > self.width: + raise ValueError("placeholder too large for max width") + + # Arrange in reverse order so items can be efficiently popped + # from a stack of chucks. + chunks.reverse() + + while chunks: + + # Start the list of chunks that will make up the current line. + # cur_len is just the length of all the chunks in cur_line. + cur_line = [] + cur_len = 0 + + # Figure out which static string will prefix this line. + if lines: + indent = self.subsequent_indent + else: + indent = self.initial_indent + + # Maximum width for this line. + width = self.width - self._len(indent) + + # First chunk on line is whitespace -- drop it, unless this + # is the very beginning of the text (ie. no lines started yet). + if self.drop_whitespace and chunks[-1].strip() == "" and lines: + del chunks[-1] + + while chunks: + chunk_len = self._len(chunks[-1]) + + # Can at least squeeze this chunk onto the current line. + if cur_len + chunk_len <= width: + cur_line.append(chunks.pop()) + cur_len += chunk_len + + # Nope, this line is full. + else: + break + + # The current line is full, and the next chunk is too big to + # fit on *any* line (not just this one). + if chunks and self._len(chunks[-1]) > width: + self._handle_long_word(chunks, cur_line, cur_len, width) + cur_len = sum(map(self._len, cur_line)) + + # If the last chunk on this line is all whitespace, drop it. + if self.drop_whitespace and cur_line and cur_line[-1].strip() == "": + cur_len -= self._len(cur_line[-1]) + del cur_line[-1] + + if cur_line: + if ( + self.max_lines is None + or len(lines) + 1 < self.max_lines + or ( + not chunks + or self.drop_whitespace + and len(chunks) == 1 + and not chunks[0].strip() + ) + and cur_len <= width + ): + # Convert current line back to a string and store it in + # list of all lines (return value). + self._update_lines(lines, indent + "".join(cur_line)) + else: + while cur_line: + if ( + cur_line[-1].strip() + and cur_len + self._len(self.placeholder) <= width + ): + cur_line.append(self.placeholder) + self._update_lines(lines, indent + "".join(cur_line)) + break + cur_len -= self._len(cur_line[-1]) + del cur_line[-1] + else: + if lines: + prev_line = lines[-1].rstrip() + if ( + self._len(prev_line) + self._len(self.placeholder) + <= self.width + ): + lines[-1] = prev_line + self.placeholder + break + self._update_lines(lines, indent + self.placeholder.lstrip()) + break + + return lines + + +def _main(): + """\ + Usage: tabulate [options] [FILE ...] + + Pretty-print tabular data. + See also https://github.com/astanin/python-tabulate + + FILE a filename of the file with tabular data; + if "-" or missing, read data from stdin. + + Options: + + -h, --help show this message + -1, --header use the first row of data as a table header + -o FILE, --output FILE print table to FILE (default: stdout) + -s REGEXP, --sep REGEXP use a custom column separator (default: whitespace) + -F FPFMT, --float FPFMT floating point number format (default: g) + -I INTFMT, --int INTFMT integer point number format (default: "") + -f FMT, --format FMT set output table format; supported formats: + plain, simple, grid, fancy_grid, pipe, orgtbl, + rst, mediawiki, html, latex, latex_raw, + latex_booktabs, latex_longtable, tsv + (default: simple) + """ + import getopt + import sys + import textwrap + + usage = textwrap.dedent(_main.__doc__) + try: + opts, args = getopt.getopt( + sys.argv[1:], + "h1o:s:F:A:f:", + ["help", "header", "output", "sep=", "float=", "int=", "align=", "format="], + ) + except getopt.GetoptError as e: + print(e) + print(usage) + sys.exit(2) + headers = [] + floatfmt = _DEFAULT_FLOATFMT + intfmt = _DEFAULT_INTFMT + colalign = None + tablefmt = "simple" + sep = r"\s+" + outfile = "-" + for opt, value in opts: + if opt in ["-1", "--header"]: + headers = "firstrow" + elif opt in ["-o", "--output"]: + outfile = value + elif opt in ["-F", "--float"]: + floatfmt = value + elif opt in ["-I", "--int"]: + intfmt = value + elif opt in ["-C", "--colalign"]: + colalign = value.split() + elif opt in ["-f", "--format"]: + if value not in tabulate_formats: + print("%s is not a supported table format" % value) + print(usage) + sys.exit(3) + tablefmt = value + elif opt in ["-s", "--sep"]: + sep = value + elif opt in ["-h", "--help"]: + print(usage) + sys.exit(0) + files = [sys.stdin] if not args else args + with (sys.stdout if outfile == "-" else open(outfile, "w")) as out: + for f in files: + if f == "-": + f = sys.stdin + if _is_file(f): + _pprint_file( + f, + headers=headers, + tablefmt=tablefmt, + sep=sep, + floatfmt=floatfmt, + intfmt=intfmt, + file=out, + colalign=colalign, + ) + else: + with open(f) as fobj: + _pprint_file( + fobj, + headers=headers, + tablefmt=tablefmt, + sep=sep, + floatfmt=floatfmt, + intfmt=intfmt, + file=out, + colalign=colalign, + ) + + +def _pprint_file(fobject, headers, tablefmt, sep, floatfmt, intfmt, file, colalign): + rows = fobject.readlines() + table = [re.split(sep, r.rstrip()) for r in rows if r.strip()] + print( + tabulate( + table, + headers, + tablefmt, + floatfmt=floatfmt, + intfmt=intfmt, + colalign=colalign, + ), + file=file, + ) + + +if __name__ == "__main__": + _main()