Core File Operations

def open(urlpath, mode='rb', compression=None, encoding='utf8', errors=None, protocol=None, newline=None, expand=None, **kwargs):
    """
    Open a file for reading or writing.
    
    Parameters:
    - urlpath: str, URL or path to file (supports all registered protocols)
    - mode: str, file opening mode ('r', 'w', 'a', 'rb', 'wb', etc.)
    - compression: str or None, compression format ('gzip', 'bz2', 'lzma', etc.)
    - encoding: str, text encoding for text mode (default 'utf8')
    - errors: str or None, error handling mode for text encoding
    - protocol: str or None, force specific protocol
    - newline: str or None, newline handling for text mode
    - expand: bool or None, expand glob patterns in paths
    - **kwargs: additional options passed to filesystem
    
    Returns:
    OpenFile object (context manager)
    """

# Open remote file with compression
with fsspec.open('s3://bucket/data.txt.gz', 'rt', compression='gzip') as f:
    content = f.read()

# Open local file
with fsspec.open('/path/to/file.json', 'r') as f:
    data = json.load(f)

def open_files(urlpath, mode='rb', compression=None, encoding='utf8', errors=None, name_function=None, num=1, protocol=None, newline=None, auto_mkdir=True, expand=True, **kwargs):
    """
    Open multiple files for reading or writing.
    
    Parameters:
    - urlpath: str or list, URL pattern or list of URLs
    - mode: str, file opening mode
    - compression: str or None, compression format
    - encoding: str, text encoding for text mode
    - errors: str or None, error handling mode for text encoding
    - name_function: callable, function to generate filenames for num > 1
    - num: int, number of files to create for write operations
    - protocol: str or None, force specific protocol
    - newline: str or None, newline handling for text mode
    - auto_mkdir: bool, automatically create parent directories
    - expand: bool, expand glob patterns in paths
    - **kwargs: additional options passed to filesystem
    
    Returns:
    List of OpenFile objects
    """

# Open multiple files matching pattern
files = fsspec.open_files('s3://bucket/data/*.csv', 'rt')
for f in files:
    with f as file:
        df = pd.read_csv(file)

# Create multiple output files
outputs = fsspec.open_files('output-*.json', 'w', num=4)

def open_local(url, mode='rb', **kwargs):
    """
    Open a file ensuring it's available locally.
    
    Parameters:
    - url: str, URL or path to file
    - mode: str, file opening mode
    - **kwargs: additional options passed to filesystem
    
    Returns:
    str, local file path
    """

# Ensure remote file is available locally
local_path = fsspec.open_local('s3://bucket/model.pkl')
with open(local_path, 'rb') as f:
    model = pickle.load(f)

def url_to_fs(url, **kwargs):
    """
    Parse URL and return filesystem instance and path.
    
    Parameters:
    - url: str, URL to parse
    - **kwargs: storage options passed to filesystem constructor
    
    Returns:
    tuple: (AbstractFileSystem instance, str path)
    """

# Parse S3 URL
fs, path = fsspec.url_to_fs('s3://bucket/path/file.txt', key='...', secret='...')
files = fs.ls(path.rsplit('/', 1)[0])  # List directory

# Parse HTTP URL
fs, path = fsspec.url_to_fs('https://example.com/data.csv')
content = fs.cat_file(path)

def get_fs_token_paths(urls, mode='rb', num=1, name_function=None, **kwargs):
    """
    Parse multiple URLs and return filesystem with paths.
    
    Parameters:
    - urls: str or list, URLs or paths to process
    - mode: str, file opening mode
    - num: int, number of files to create for write operations
    - name_function: callable, function to generate filenames
    - **kwargs: storage options passed to filesystem constructor
    
    Returns:
    tuple: (AbstractFileSystem instance, str token, list of paths)
    """

# Process multiple S3 files
fs, token, paths = fsspec.get_fs_token_paths([
    's3://bucket/file1.txt',
    's3://bucket/file2.txt'
], key='...', secret='...')

# Read all files
contents = [fs.cat_file(path) for path in paths]

with fsspec.open('protocol://path/file.ext', 'r') as f:
    data = f.read()

files = fsspec.open_files('s3://bucket/data/*.parquet')
datasets = []
for f in files:
    with f as file:
        datasets.append(pd.read_parquet(file))

# These all work with the same interface
fsspec.open('file:///local/path.txt')      # Local filesystem
fsspec.open('/local/path.txt')             # Local filesystem (implicit)
fsspec.open('s3://bucket/file.txt')        # Amazon S3
fsspec.open('gcs://bucket/file.txt')       # Google Cloud Storage
fsspec.open('https://example.com/api')     # HTTP

# Auto-detect compression from extension
with fsspec.open('data.csv.gz', 'rt') as f:
    content = f.read()

# Explicit compression
with fsspec.open('data.csv', 'rt', compression='gzip') as f:
    content = f.read()