AzSuicideDataVisualization/.venv/Lib/site-packages/streamlit/config.py

# Copyright 2018-2022 Streamlit Inc.
#
# 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.

"""Loads the configuration data."""

import copy
import os
import secrets
import threading
import toml
from collections import OrderedDict
from typing import Any, Callable, cast, Dict, Optional

from blinker import Signal

from streamlit import config_util
from streamlit import development
from streamlit import env_util
from streamlit import file_util
from streamlit import util
from streamlit.config_option import ConfigOption

# Config System Global State #

# Descriptions of each of the possible config sections.
# (We use OrderedDict to make the order in which sections are declared in this
# file be the same order as the sections appear with `streamlit config show`)
_section_descriptions: Dict[str, str] = OrderedDict(
    _test="Special test section just used for unit tests."
)

# Ensures that we don't try to get or set config options when config.toml files
# change so are re-parsed.
_config_lock = threading.RLock()

# Stores config options with their default values (or None if they don't have
# a default) before they are updated with values from config.toml files, flags
# to `streamlit run`, etc. Note that this and _config_options below are
# OrderedDicts to ensure stable ordering when printed using
# `streamlit config show`.
_config_options_template: Dict[str, ConfigOption] = OrderedDict()

# Stores the current state of config options.
_config_options: Optional[Dict[str, ConfigOption]] = None


# Indicates that a config option was defined by the user.
_USER_DEFINED = "<user defined>"

# Indicates that a config option was defined either in an environment variable
# or via command-line flag.
_DEFINED_BY_FLAG = "command-line argument or environment variable"


def set_option(key: str, value: Any, where_defined: str = _USER_DEFINED) -> None:
    """Set config option.

    Run `streamlit config show` in the terminal to see all available options.

    Parameters
    ----------
    key : str
        The config option key of the form "section.optionName". To see all
        available options, run `streamlit config show` on a terminal.

    value
        The new value to assign to this config option.

    where_defined : str
        Tells the config system where this was set.
    """

    with _config_lock:
        # Ensure that our config files have been parsed.
        get_config_options()
        _set_option(key, value, where_defined)


def get_option(key: str) -> Any:
    """Return the current value of a given Streamlit config option.

    Run `streamlit config show` in the terminal to see all available options.

    Parameters
    ----------
    key : str
        The config option key of the form "section.optionName". To see all
        available options, run `streamlit config show` on a terminal.
    """
    with _config_lock:
        config_options = get_config_options()

        if key not in config_options:
            raise RuntimeError('Config key "%s" not defined.' % key)
        return config_options[key].value


def get_options_for_section(section: str) -> Dict[str, Any]:
    """Get all of the config options for the given section.

    Run `streamlit config show` in the terminal to see all available options.

    Parameters
    ----------
    section : str
        The name of the config section to fetch options for.

    Returns
    ----------
    Dict[str, Any]
        A dict mapping the names of the options in the given section (without
        the section name as a prefix) to their values.
    """
    with _config_lock:
        config_options = get_config_options()

        options_for_section = {}
        for option in config_options.values():
            if option.section == section:
                options_for_section[option.name] = option.value
        return options_for_section


def _create_section(section: str, description: str) -> None:
    """Create a config section and store it globally in this module."""
    assert section not in _section_descriptions, (
        'Cannot define section "%s" twice.' % section
    )
    _section_descriptions[section] = description


def _create_option(
    key: str,
    description: Optional[str] = None,
    default_val: Optional[Any] = None,
    scriptable: bool = False,
    visibility: str = "visible",
    deprecated: bool = False,
    deprecation_text: Optional[str] = None,
    expiration_date: Optional[str] = None,
    replaced_by: Optional[str] = None,
    type_: type = str,
) -> ConfigOption:
    '''Create a ConfigOption and store it globally in this module.

    There are two ways to create a ConfigOption:

        (1) Simple, constant config options are created as follows:

            _create_option('section.optionName',
                description = 'Put the description here.',
                default_val = 12345)

        (2) More complex, programmable config options use decorator syntax to
        resolve their values at runtime:

            @_create_option('section.optionName')
            def _section_option_name():
                """Put the description here."""
                return 12345

    To achieve this sugar, _create_option() returns a *callable object* of type
    ConfigObject, which then decorates the function.

    NOTE: ConfigObjects call their evaluation functions *every time* the option
    is requested. To prevent this, use the `streamlit.util.memoize` decorator as
    follows:

            @_create_option('section.memoizedOptionName')
            @util.memoize
            def _section_memoized_option_name():
                """Put the description here."""

                (This function is only called once.)
                """
                return 12345

    '''
    option = ConfigOption(
        key,
        description=description,
        default_val=default_val,
        scriptable=scriptable,
        visibility=visibility,
        deprecated=deprecated,
        deprecation_text=deprecation_text,
        expiration_date=expiration_date,
        replaced_by=replaced_by,
        type_=type_,
    )
    assert (
        option.section in _section_descriptions
    ), 'Section "%s" must be one of %s.' % (
        option.section,
        ", ".join(_section_descriptions.keys()),
    )
    assert key not in _config_options_template, 'Cannot define option "%s" twice.' % key
    _config_options_template[key] = option
    return option


def _delete_option(key: str) -> None:
    """Remove a ConfigOption by key from the global store.

    Only for use in testing.
    """
    try:
        del _config_options_template[key]
        del cast(Dict[str, ConfigOption], _config_options)[key]
    except Exception:
        pass


# Config Section: Global #

_create_section("global", "Global options that apply across all of Streamlit.")

_create_option(
    "global.disableWatchdogWarning",
    description="""
        By default, Streamlit checks if the Python watchdog module is available
        and, if not, prints a warning asking for you to install it. The watchdog
        module is not required, but highly recommended. It improves Streamlit's
        ability to detect changes to files in your filesystem.

        If you'd like to turn off this warning, set this to True.
        """,
    default_val=False,
    type_=bool,
)


_create_option(
    "global.showWarningOnDirectExecution",
    description="""
        If True, will show a warning when you run a Streamlit-enabled script
        via "python my_script.py".
        """,
    default_val=True,
    type_=bool,
)


@_create_option("global.developmentMode", visibility="hidden", type_=bool)
def _global_development_mode() -> bool:
    """Are we in development mode.

    This option defaults to True if and only if Streamlit wasn't installed
    normally.
    """
    return (
        not env_util.is_pex()
        and "site-packages" not in __file__
        and "dist-packages" not in __file__
    )


_create_option(
    "global.logLevel",
    description="""Level of logging: 'error', 'warning', 'info', or 'debug'.

    Default: 'info'
    """,
    deprecated=True,
    deprecation_text="global.logLevel has been replaced with logger.level",
    expiration_date="2020-11-30",
    replaced_by="logger.level",
)


@_create_option("global.unitTest", visibility="hidden", type_=bool)
def _global_unit_test() -> bool:
    """Are we in a unit test?

    This option defaults to False.
    """
    return False


_create_option(
    "global.suppressDeprecationWarnings",
    description="Hide deprecation warnings in the streamlit app.",
    visibility="hidden",
    default_val=False,
    type_=bool,
)

_create_option(
    "global.minCachedMessageSize",
    description="""Only cache ForwardMsgs that are greater than or equal to
        this minimum.""",
    visibility="hidden",
    default_val=10 * 1e3,
    type_=float,
)  # 10k

_create_option(
    "global.maxCachedMessageAge",
    description="""Expire cached ForwardMsgs whose age is greater than this
        value. A message's age is defined by how many times its script has
        finished running since the message has been accessed.""",
    visibility="hidden",
    default_val=2,
    type_=int,
)

_create_option(
    "global.dataFrameSerialization",
    description="""
        DataFrame serialization.

        Acceptable values:
        - 'legacy': Serialize DataFrames using Streamlit's custom format. Slow
          but battle-tested.
        - 'arrow': Serialize DataFrames using Apache Arrow. Much faster and versatile.""",
    default_val="arrow",
    type_=str,
)


# Config Section: Logger #
_create_section("logger", "Settings to customize Streamlit log messages.")


@_create_option("logger.level", type_=str)
def _logger_log_level() -> str:
    """Level of logging: 'error', 'warning', 'info', or 'debug'.

    Default: 'info'
    """

    if get_option("global.logLevel"):
        return str(get_option("global.logLevel"))
    elif get_option("global.developmentMode"):
        return "debug"
    else:
        return "info"


@_create_option("logger.messageFormat", type_=str)
def _logger_message_format() -> str:
    """String format for logging messages. If logger.datetimeFormat is set,
    logger messages will default to `%(asctime)s.%(msecs)03d %(message)s`. See
    [Python's documentation](https://docs.python.org/2.6/library/logging.html#formatter-objects)
    for available attributes.

    Default: "%(asctime)s %(message)s"
    """
    if get_option("global.developmentMode"):
        from streamlit.logger import DEFAULT_LOG_MESSAGE

        return DEFAULT_LOG_MESSAGE
    else:
        return "%(asctime)s %(message)s"


# Config Section: Client #

_create_section("client", "Settings for scripts that use Streamlit.")

_create_option(
    "client.caching",
    description="Whether to enable st.cache.",
    default_val=True,
    type_=bool,
    scriptable=True,
)

_create_option(
    "client.displayEnabled",
    description="""If false, makes your Streamlit script not draw to a
        Streamlit app.""",
    default_val=True,
    type_=bool,
    scriptable=True,
)

_create_option(
    "client.showErrorDetails",
    description="""
        Controls whether uncaught app exceptions are displayed in the browser.
        By default, this is set to True and Streamlit displays app exceptions
        and associated tracebacks in the browser.

        If set to False, an exception will result in a generic message being
        shown in the browser, and exceptions and tracebacks will be printed to
        the console only.""",
    default_val=True,
    type_=bool,
    scriptable=True,
)

# Config Section: Runner #

_create_section("runner", "Settings for how Streamlit executes your script")

_create_option(
    "runner.magicEnabled",
    description="""
        Allows you to type a variable or string by itself in a single line of
        Python code to write it to the app.
        """,
    default_val=True,
    type_=bool,
)

_create_option(
    "runner.installTracer",
    description="""
        Install a Python tracer to allow you to stop or pause your script at
        any point and introspect it. As a side-effect, this slows down your
        script's execution.
        """,
    default_val=False,
    type_=bool,
)

_create_option(
    "runner.fixMatplotlib",
    description="""
        Sets the MPLBACKEND environment variable to Agg inside Streamlit to
        prevent Python crashing.
        """,
    default_val=True,
    type_=bool,
)

_create_option(
    "runner.postScriptGC",
    description="""
        Run the Python Garbage Collector after each script execution. This
        can help avoid excess memory use in Streamlit apps, but could
        introduce delay in rerunning the app script for high-memory-use
        applications.
        """,
    default_val=True,
    type_=bool,
)

_create_option(
    "runner.fastReruns",
    description="""
        Handle script rerun requests immediately, rather than waiting for
        script execution to reach a yield point. Enabling this will
        make Streamlit much more responsive to user interaction, but it can
        lead to race conditions in apps that mutate session_state data outside
        of explicit session_state assignment statements.
    """,
    default_val=False,
    type_=bool,
)

# Config Section: Server #

_create_section("server", "Settings for the Streamlit server")

_create_option(
    "server.folderWatchBlacklist",
    description="""List of folders that should not be watched for changes. This
    impacts both "Run on Save" and @st.cache.

    Relative paths will be taken as relative to the current working directory.

    Example: ['/home/user1/env', 'relative/path/to/folder']
    """,
    default_val=[],
)

_create_option(
    "server.fileWatcherType",
    description="""
        Change the type of file watcher used by Streamlit, or turn it off
        completely.

        Allowed values:
        * "auto"     : Streamlit will attempt to use the watchdog module, and
                       falls back to polling if watchdog is not available.
        * "watchdog" : Force Streamlit to use the watchdog module.
        * "poll"     : Force Streamlit to always use polling.
        * "none"     : Streamlit will not watch files.
    """,
    default_val="auto",
    type_=str,
)


@_create_option("server.cookieSecret", type_=str)
@util.memoize
def _server_cookie_secret() -> str:
    """Symmetric key used to produce signed cookies. If deploying on multiple replicas, this should
    be set to the same value across all replicas to ensure they all share the same secret.

    Default: randomly generated secret key.
    """
    return secrets.token_hex()


@_create_option("server.headless", type_=bool)
def _server_headless() -> bool:
    """If false, will attempt to open a browser window on start.

    Default: false unless (1) we are on a Linux box where DISPLAY is unset, or
    (2) we are running in the Streamlit Atom plugin.
    """
    if env_util.IS_LINUX_OR_BSD and not os.getenv("DISPLAY"):
        # We're running in Linux and DISPLAY is unset
        return True

    if os.getenv("IS_RUNNING_IN_STREAMLIT_EDITOR_PLUGIN") is not None:
        # We're running within the Streamlit Atom plugin
        return True

    return False


@_create_option("server.runOnSave", type_=bool)
def _server_run_on_save() -> bool:
    """Automatically rerun script when the file is modified on disk.

    Default: false
    """
    return False


@_create_option("server.allowRunOnSave", type_=bool, visibility="hidden")
def _server_allow_run_on_save() -> bool:
    """Allows users to automatically rerun when app is updated.

    Default: true
    """
    return True


@_create_option("server.address")
def _server_address() -> Optional[str]:
    """The address where the server will listen for client and browser
    connections. Use this if you want to bind the server to a specific address.
    If set, the server will only be accessible from this address, and not from
    any aliases (like localhost).

    Default: (unset)
    """
    return None


@_create_option("server.port", type_=int)
def _server_port() -> int:
    """The port where the server will listen for browser
    connections.

    Default: 8501
    """
    return 8501


_create_option(
    "server.scriptHealthCheckEnabled",
    visibility="hidden",
    description="""
    Flag for enabling the script health check endpoint. It used for checking if
    a script loads successfully. On success, the endpoint will return a 200
    HTTP status code. On failure, the endpoint will return a 503 HTTP status code.

    Note: This is an experimental Streamlit internal API. The API is subject
    to change anytime so this should be used at your own risk
    """,
    default_val=False,
    type_=bool,
)

_create_option(
    "server.baseUrlPath",
    description="""
        The base path for the URL where Streamlit should be served from.
        """,
    default_val="",
    type_=str,
)


# TODO: Rename to server.enableCorsProtection.
@_create_option("server.enableCORS", type_=bool)
def _server_enable_cors() -> bool:
    """Enables support for Cross-Origin Request Sharing (CORS) protection, for added security.

    Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and
    `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.

    Default: true
    """
    return True


@_create_option("server.enableXsrfProtection", type_=bool)
def _server_enable_xsrf_protection() -> bool:
    """Enables support for Cross-Site Request Forgery (XSRF) protection, for added security.

    Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and
    `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.

    Default: true
    """
    return True


@_create_option("server.maxUploadSize", type_=int)
def _server_max_upload_size() -> int:
    """Max size, in megabytes, for files uploaded with the file_uploader.

    Default: 200
    """
    # If this default is changed, please also update the docstring
    # for `DeltaGenerator.file_uploader`.
    return 200


@_create_option("server.maxMessageSize", type_=int)
def _server_max_message_size() -> int:
    """Max size, in megabytes, of messages that can be sent via the WebSocket connection.

    Default: 200
    """
    return 200


@_create_option("server.enableWebsocketCompression", type_=bool)
def _server_enable_websocket_compression() -> bool:
    """Enables support for websocket compression.

    Default: false
    """
    return False


# Config Section: Browser #

_create_section("browser", "Configuration of non-UI browser options.")


@_create_option("browser.serverAddress")
def _browser_server_address() -> str:
    """Internet address where users should point their browsers in order to
    connect to the app. Can be IP address or DNS name and path.

    This is used to:
    - Set the correct URL for CORS and XSRF protection purposes.
    - Show the URL on the terminal
    - Open the browser

    Default: 'localhost'
    """
    return "localhost"


@_create_option("browser.gatherUsageStats", type_=bool)
def _gather_usage_stats() -> bool:
    """Whether to send usage statistics to Streamlit.

    Default: true
    """
    return True


@_create_option("browser.serverPort", type_=int)
def _browser_server_port() -> int:
    """Port where users should point their browsers in order to connect to the
    app.

    This is used to:
    - Set the correct URL for CORS and XSRF protection purposes.
    - Show the URL on the terminal
    - Open the browser

    Default: whatever value is set in server.port.
    """
    return int(get_option("server.port"))


# Config Section: UI #

# NOTE: We currently hide the ui config section in the `streamlit config show`
# output as all of its options are hidden. If a non-hidden option is eventually
# added, the section should be unhidden by removing it from the `SKIP_SECTIONS`
# set in config_util.show_config.
_create_section("ui", "Configuration of UI elements displayed in the browser.")

_create_option(
    "ui.hideTopBar",
    description="""
    Flag to hide most of the UI elements found at the top of a Streamlit app.

    NOTE: This does *not* hide the hamburger menu in the top-right of an app.
    """,
    default_val=False,
    type_=bool,
    visibility="hidden",
)


# Config Section: Mapbox #

_create_section("mapbox", "Mapbox configuration that is being used by DeckGL.")

_create_option(
    "mapbox.token",
    description="""Configure Streamlit to use a custom Mapbox
                token for elements like st.pydeck_chart and st.map.
                To get a token for yourself, create an account at
                https://mapbox.com. It's free (for moderate usage levels)!""",
    default_val="",
)


# Config Section: deprecations

_create_section("deprecation", "Configuration to show or hide deprecation warnings.")

_create_option(
    "deprecation.showfileUploaderEncoding",
    description="Set to false to disable the deprecation warning for the file uploader encoding.",
    default_val=True,
    scriptable=True,
    type_=bool,
    expiration_date="2021-01-06",
)

_create_option(
    "deprecation.showImageFormat",
    description="Set to false to disable the deprecation warning for the image format parameter.",
    default_val=True,
    scriptable=True,
    type_=bool,
    deprecated=True,
    deprecation_text="The format parameter for st.image has been removed.",
    expiration_date="2021-03-24",
)

_create_option(
    "deprecation.showPyplotGlobalUse",
    description="Set to false to disable the deprecation warning for using the global pyplot instance.",
    default_val=True,
    scriptable=True,
    type_=bool,
)


# Config Section: Custom Theme #

_create_section("theme", "Settings to define a custom theme for your Streamlit app.")

_create_option(
    "theme.base",
    description="""The preset Streamlit theme that your custom theme inherits from.
    One of "light" or "dark".""",
)

_create_option(
    "theme.primaryColor",
    description="Primary accent color for interactive elements.",
)

_create_option(
    "theme.backgroundColor",
    description="Background color for the main content area.",
)

_create_option(
    "theme.secondaryBackgroundColor",
    description="Background color used for the sidebar and most interactive widgets.",
)

_create_option(
    "theme.textColor",
    description="Color used for almost all text.",
)

_create_option(
    "theme.font",
    description="""
      Font family for all text in the app, except code blocks. One of "sans serif",
      "serif", or "monospace".
    """,
)


def get_where_defined(key: str) -> str:
    """Indicate where (e.g. in which file) this option was defined.

    Parameters
    ----------
    key : str
        The config option key of the form "section.optionName"

    """
    with _config_lock:
        config_options = get_config_options()

        if key not in config_options:
            raise RuntimeError('Config key "%s" not defined.' % key)
        return config_options[key].where_defined


def _is_unset(option_name: str) -> bool:
    """Check if a given option has not been set by the user.

    Parameters
    ----------
    option_name : str
        The option to check


    Returns
    -------
    bool
        True if the option has not been set by the user.

    """
    return get_where_defined(option_name) == ConfigOption.DEFAULT_DEFINITION


def is_manually_set(option_name: str) -> bool:
    """Check if a given option was actually defined by the user.

    Parameters
    ----------
    option_name : str
        The option to check


    Returns
    -------
    bool
        True if the option has been set by the user.

    """
    return get_where_defined(option_name) not in (
        ConfigOption.DEFAULT_DEFINITION,
        ConfigOption.STREAMLIT_DEFINITION,
    )


def show_config() -> None:
    """Print all config options to the terminal."""
    with _config_lock:
        config_util.show_config(
            _section_descriptions, cast(Dict[str, ConfigOption], _config_options)
        )


# Load Config Files #


def _set_option(key: str, value: Any, where_defined: str) -> None:
    """Set a config option by key / value pair.

    This function assumes that the _config_options dictionary has already been
    populated and thus should only be used within this file and by tests.

    Parameters
    ----------
    key : str
        The key of the option, like "logger.level".
    value
        The value of the option.
    where_defined : str
        Tells the config system where this was set.

    """
    assert (
        _config_options is not None
    ), "_config_options should always be populated here."
    if key not in _config_options:
        # Import logger locally to prevent circular references
        from streamlit.logger import get_logger

        LOGGER = get_logger(__name__)

        LOGGER.warning(
            f'"{key}" is not a valid config option. If you previously had this config option set, it may have been removed.'
        )

    else:
        _config_options[key].set_value(value, where_defined)


def _update_config_with_toml(raw_toml: str, where_defined: str) -> None:
    """Update the config system by parsing this string.

    This should only be called from get_config_options.

    Parameters
    ----------
    raw_toml : str
        The TOML file to parse to update the config values.
    where_defined : str
        Tells the config system where this was set.

    """
    parsed_config_file = toml.loads(raw_toml)

    for section, options in parsed_config_file.items():
        for name, value in options.items():
            value = _maybe_read_env_variable(value)
            _set_option(f"{section}.{name}", value, where_defined)


def _maybe_read_env_variable(value: Any) -> Any:
    """If value is "env:foo", return value of environment variable "foo".

    If value is not in the shape above, returns the value right back.

    Parameters
    ----------
    value : any
        The value to check

    Returns
    -------
    any
        Either returns value right back, or the value of the environment
        variable.

    """

    if isinstance(value, str) and value.startswith("env:"):
        var_name = value[len("env:") :]
        env_var = os.environ.get(var_name)

        if env_var is None:
            # Import logger locally to prevent circular references
            from streamlit.logger import get_logger

            LOGGER = get_logger(__name__)

            LOGGER.error("No environment variable called %s" % var_name)
        else:
            return _maybe_convert_to_number(env_var)

    return value


def _maybe_convert_to_number(v: Any) -> Any:
    """Convert v to int or float, or leave it as is."""
    try:
        return int(v)
    except Exception:
        pass

    try:
        return float(v)
    except Exception:
        pass

    return v


# Allow outside modules to wait for the config file to be parsed before doing
# something.
_on_config_parsed = Signal(doc="Emitted when the config file is parsed.")

CONFIG_FILENAMES = [
    file_util.get_streamlit_file_path("config.toml"),
    file_util.get_project_streamlit_file_path("config.toml"),
]


def get_config_options(
    force_reparse=False, options_from_flags: Optional[Dict[str, Any]] = None
) -> Dict[str, ConfigOption]:
    """Create and return a dict mapping config option names to their values,
    returning a cached dict if possible.

    Config option values are sourced from the following locations. Values
    set in locations further down the list overwrite those set earlier.
      1. default values defined in this file
      2. the global `~/.streamlit/config.toml` file
      3. per-project `$CWD/.streamlit/config.toml` files
      4. environment variables such as `STREAMLIT_SERVER_PORT`
      5. command line flags passed to `streamlit run`

    Parameters
    ----------
    force_reparse : bool
        Force config files to be parsed so that we pick up any changes to them.

    options_from_flags : Optional[Dict[str, any]
        Config options that we received via CLI flag.

    Returns
    ----------
    Dict[str, ConfigOption]
        An ordered dict that maps config option names to their values.
    """
    global _config_options

    if not options_from_flags:
        options_from_flags = {}

    # Avoid grabbing the lock in the case where there's nothing for us to do.
    config_options = _config_options
    if config_options and not force_reparse:
        return config_options

    with _config_lock:
        # Short-circuit if config files were parsed while we were waiting on
        # the lock.
        if _config_options and not force_reparse:
            return _config_options

        old_options = _config_options
        _config_options = copy.deepcopy(_config_options_template)

        # Values set in files later in the CONFIG_FILENAMES list overwrite those
        # set earlier.
        for filename in CONFIG_FILENAMES:
            if not os.path.exists(filename):
                continue

            with open(filename, "r", encoding="utf-8") as input:
                file_contents = input.read()

            _update_config_with_toml(file_contents, filename)

        for opt_name, opt_val in options_from_flags.items():
            _set_option(opt_name, opt_val, _DEFINED_BY_FLAG)

        if old_options and config_util.server_option_changed(
            old_options, _config_options
        ):
            # Import logger locally to prevent circular references.
            from streamlit.logger import get_logger

            LOGGER = get_logger(__name__)
            LOGGER.warning(
                "An update to the [server] config option section was detected."
                " To have these changes be reflected, please restart streamlit."
            )

        _on_config_parsed.send()
        return _config_options


def _check_conflicts() -> None:
    # Node-related conflicts

    # When using the Node server, we must always connect to 8501 (this is
    # hard-coded in JS). Otherwise, the browser would decide what port to
    # connect to based on window.location.port, which in dev is going to
    # be (3000)

    # Import logger locally to prevent circular references
    from streamlit.logger import get_logger

    LOGGER = get_logger(__name__)

    if get_option("global.developmentMode"):
        assert _is_unset(
            "server.port"
        ), "server.port does not work when global.developmentMode is true."

        assert _is_unset("browser.serverPort"), (
            "browser.serverPort does not work when global.developmentMode is " "true."
        )

    # XSRF conflicts
    if get_option("server.enableXsrfProtection"):
        if not get_option("server.enableCORS") or get_option("global.developmentMode"):
            LOGGER.warning(
                """
Warning: the config option 'server.enableCORS=false' is not compatible with 'server.enableXsrfProtection=true'.
As a result, 'server.enableCORS' is being overridden to 'true'.

More information:
In order to protect against CSRF attacks, we send a cookie with each request.
To do so, we must specify allowable origins, which places a restriction on
cross-origin resource sharing.

If cross origin resource sharing is required, please disable server.enableXsrfProtection.
            """
            )


def _set_development_mode() -> None:
    development.is_development_mode = get_option("global.developmentMode")


def on_config_parsed(
    func: Callable[[], None], force_connect=False, lock=False
) -> Callable[[], bool]:
    """Wait for the config file to be parsed then call func.

    If the config file has already been parsed, just calls func immediately
    unless force_connect is set.

    Parameters
    ----------
    func : Callable[[], None]
        A function to run on config parse.

    force_connect : bool
        Wait until the next config file parse to run func, even if config files
        have already been parsed.

    lock : bool
        If set, grab _config_lock before running func.

    Returns
    -------
    Callable[[], bool]
        A function that the caller can use to deregister func.
    """

    # We need to use the same receiver when we connect or disconnect on the
    # Signal. If we don't do this, then the registered receiver won't be released
    # leading to a memory leak because the Signal will keep a reference of the
    # callable argument. When the callable argument is an object method, then
    # the reference to that object won't be released.
    receiver = lambda _: func_with_lock()

    def disconnect():
        return _on_config_parsed.disconnect(receiver)

    def func_with_lock():
        if lock:
            with _config_lock:
                func()
        else:
            func()

    if force_connect or not _config_options:
        # weak=False so that we have control of when the on_config_parsed
        # callback is deregistered.
        _on_config_parsed.connect(receiver, weak=False)
    else:
        func_with_lock()

    return disconnect


# Run _check_conflicts only once the config file is parsed in order to avoid
# loops. We also need to grab the lock when running _check_conflicts since it
# may edit config options based on the values of other config options.
on_config_parsed(_check_conflicts, lock=True)
on_config_parsed(_set_development_mode)