code: def open(  # noqa: A001
      path: str,
      repo: Optional[str] = None,
      rev: Optional[str] = None,
      remote: Optional[str] = None,
      mode: str = "r",
      encoding: Optional[str] = None,
      config: Optional[Dict[str, Any]] = None,
      remote_config: Optional[Dict[str, Any]] = None,
  ):
      """
      Opens a file tracked in a DVC project.
  
      This function may only be used as a context manager (using the `with`
      keyword, as shown in the examples).
  
      This function makes a direct connection to the remote storage, so the file
      contents can be streamed. Your code can process the data buffer as it's
      streamed, which optimizes memory usage.
  
      Note:
          Use dvc.api.read() to load the complete file contents
          in a single function call, no context manager involved.
          Neither function utilizes disc space.
  
      Args:
          path (str): location and file name of the target to open,
          relative to the root of `repo`.
          repo (str, optional): location of the DVC project or Git Repo.
              Defaults to the current DVC project (found by walking up from the
              current working directory tree).
              It can be a URL or a file system path.
              Both HTTP and SSH protocols are supported for online Git repos
              (e.g. [user@]server:project.git).
          rev (str, optional): Any `Git revision`_ such as a branch or tag name,
              a commit hash or a dvc experiment name.
              Defaults to HEAD.
              If `repo` is not a Git repo, this option is ignored.
          remote (str, optional): Name of the `DVC remote`_ used to form the
              returned URL string.
              Defaults to the `default remote`_ of `repo`.
              For local projects, the cache is tried before the default remote.
          mode (str, optional): Specifies the mode in which the file is opened.
              Defaults to "r" (read).
              Mirrors the namesake parameter in builtin `open()`_.
              Only reading `mode` is supported.
          encoding(str, optional): `Codec`_ used to decode the file contents.
              Defaults to None.
              This should only be used in text mode.
              Mirrors the namesake parameter in builtin `open()`_.
          config(dict, optional): config to be passed to the DVC repository.
              Defaults to None.
          remote_config(dict, optional): remote config to be passed to the DVC
              repository.
              Defaults to None.
  
      Returns:
          _OpenContextManager: A context manager that generatse a corresponding
              `file object`_.
              The exact type of file object depends on the mode used.
              For more details, please refer to Python's `open()`_ built-in,
              which is used under the hood.
  
      Raises:
          AttributeError: If this method is not used as a context manager.
          ValueError: If non-read `mode` is used.
  
      Examples:
  
          - Use data or models from a DVC repository.
  
          Any file tracked in a DVC project (and stored remotely) can be
          processed directly in your Python code with this API.
          For example, an XML file tracked in a public DVC repo on GitHub can be
          processed like this:
  
          >>> from xml.sax import parse
          >>> import dvc.api
          >>> from mymodule import mySAXHandler
  
          >>> with dvc.api.open(
          ...     'get-started/data.xml',
          ...     repo='https://github.com/iterative/dataset-registry'
          ... ) as fd:
          ...     parse(fd, mySAXHandler)
  
          We use a SAX XML parser here because dvc.api.open() is able to stream
          the data from remote storage.
          The mySAXHandler object should handle the event-driven parsing of the
          document in this case.
          This increases the performance of the code (minimizing memory usage),
          and is typically faster than loading the whole data into memory.
  
          - Accessing private repos
  
          This is just a matter of using the right repo argument, for example an
          SSH URL (requires that the credentials are configured locally):
  
          >>> import dvc.api
  
          >>> with dvc.api.open(
          ...     'features.dat',
          ...     repo='git@server.com:path/to/repo.git'
          ... ) as fd:
          ...     # ... Process 'features'
          ...     pass
  
          - Use different versions of data
  
          Any git revision (see `rev`) can be accessed programmatically.
          For example, if your DVC repo has tagged releases of a CSV dataset:
  
          >>> import csv
          >>> import dvc.api
          >>> with dvc.api.open(
          ...     'clean.csv',
          ...     rev='v1.1.0'
          ... ) as fd:
          ...     reader = csv.reader(fd)
          ...     # ... Process 'clean' data from version 1.1.0
  
      .. _Git revision:
          https://git-scm.com/docs/revisions
  
      .. _DVC remote:
          https://dvc.org/doc/command-reference/remote
  
      .. _default remote:
          https://dvc.org/doc/command-reference/remote/default
  
      .. _open():
          https://docs.python.org/3/library/functions.html#open
  
      .. _Codec:
          https://docs.python.org/3/library/codecs.html#standard-encodings
  
      .. _file object:
          https://docs.python.org/3/glossary.html#term-file-object
  
      """
      if "r" not in mode:
          raise ValueError("Only reading `mode` is supported.")
  
      args = (path,)
      kwargs = {
          "repo": repo,
          "remote": remote,
          "rev": rev,
          "mode": mode,
          "encoding": encoding,
          "config": config,
          "remote_config": remote_config,
      }
      return _OpenContextManager(_open, args, kwargs)
  
file_path: dvc/dvc/api/data.py
imports: from contextlib import _GeneratorContextManager
  from contextlib import contextmanager
  from typing import Any, Dict, Optional
  from funcy import reraise
  from dvc.exceptions import FileMissingError, OutputNotFoundError, PathMissingError
  from dvc.repo import Repo
label_desc: Use image node_id 3 for calling a global function with example usage: open(path, repo, rev, remote, mode, encoding, config, remote_config) and returns: _OpenContextManager