284 lines
7.7 KiB
Markdown
284 lines
7.7 KiB
Markdown
[![build status](https://github.com/asottile/cfgv/actions/workflows/main.yml/badge.svg)](https://github.com/asottile/cfgv/actions/workflows/main.yml)
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[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/asottile/cfgv/main.svg)](https://results.pre-commit.ci/latest/github/asottile/cfgv/main)
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cfgv
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====
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Validate configuration and produce human readable error messages.
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## Installation
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```bash
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pip install cfgv
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```
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## Sample error messages
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These are easier to see by example. Here's an example where I typo'd `true`
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in a [pre-commit](https://pre-commit.com) configuration.
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```
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pre_commit.clientlib.InvalidConfigError:
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==> File /home/asottile/workspace/pre-commit/.pre-commit-config.yaml
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==> At Config()
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==> At key: repos
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==> At Repository(repo='https://github.com/pre-commit/pre-commit-hooks')
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==> At key: hooks
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==> At Hook(id='flake8')
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==> At key: always_run
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=====> Expected bool got str
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```
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## API
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### `cfgv.validate(value, schema)`
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Perform validation on the schema:
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- raises `ValidationError` on failure
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- returns the value on success (for convenience)
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### `cfgv.apply_defaults(value, schema)`
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Returns a new value which sets all missing optional values to their defaults.
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### `cfgv.remove_defaults(value, schema)`
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Returns a new value which removes all optional values that are set to their
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defaults.
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### `cfgv.load_from_filename(filename, schema, load_strategy, exc_tp=ValidationError)`
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Load a file given the `load_strategy`. Reraise any errors as `exc_tp`. All
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defaults will be populated in the resulting value.
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Most useful when used with `functools.partial` as follows:
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```python
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load_my_cfg = functools.partial(
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cfgv.load_from_filename,
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schema=MY_SCHEMA,
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load_strategy=json.loads,
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exc_tp=MyError,
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)
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```
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## Making a schema
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A schema validates a container -- `cfgv` provides `Map` and `Array` for
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most normal cases.
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### writing your own schema container
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If the built-in containers below don't quite satisfy your usecase, you can
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always write your own. Containers use the following interface:
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```python
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class Container(object):
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def check(self, v):
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"""check the passed in value (do not modify `v`)"""
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def apply_defaults(self, v):
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"""return a new value with defaults applied (do not modify `v`)"""
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def remove_defaults(self, v):
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"""return a new value with defaults removed (do not modify `v`)"""
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```
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### `Map(object_name, id_key, *items)`
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The most basic building block for creating a schema is a `Map`
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- `object_name`: will be displayed in error messages
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- `id_key`: will be used to identify the object in error messages. Set to
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`None` if there is no identifying key for the object.
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- `items`: validator objects such as `Required` or `Optional`
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Consider the following schema:
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```python
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Map(
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'Repo', 'url',
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Required('url', check_any),
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)
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```
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In an error message, the map may be displayed as:
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- `Repo(url='https://github.com/pre-commit/pre-commit')`
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- `Repo(url=MISSING)` (if the key is not present)
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### `Array(of, allow_empty=True)`
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Used to nest maps inside of arrays. For arrays of scalars, see `check_array`.
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- `of`: A `Map` / `Array` or other sub-schema.
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- `allow_empty`: when `False`, `Array` will ensure at least one element.
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When validated, this will check that each element adheres to the sub-schema.
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## Validator objects
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Validator objects are used to validate key-value-pairs of a `Map`.
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### writing your own validator
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If the built-in validators below don't quite satisfy your usecase, you can
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always write your own. Validators use the following interface:
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```python
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class Validator(object):
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def check(self, dct):
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"""check that your specific key has the appropriate value in `dct`"""
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def apply_default(self, dct):
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"""modify `dct` and set the default value if it is missing"""
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def remove_default(self, dct):
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"""modify `dct` and remove the default value if it is present"""
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```
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It may make sense to _borrow_ functions from the built in validators. They
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additionally use the following interface(s):
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- `self.key`: the key to check
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- `self.check_fn`: the [check function](#check-functions)
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- `self.default`: a default value to set.
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### `Required(key, check_fn)`
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Ensure that a key is present in a `Map` and adheres to the
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[check function](#check-functions).
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### `RequiredRecurse(key, schema)`
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Similar to `Required`, but uses a [schema](#making-a-schema).
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### `Optional(key, check_fn, default)`
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If a key is present, check that it adheres to the
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[check function](#check-functions).
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- `apply_defaults` will set the `default` if it is not present.
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- `remove_defaults` will remove the value if it is equal to `default`.
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### `OptionalRecurse(key, schema, default)`
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Similar to `Optional` but uses a [schema](#making-a-schema).
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- `apply_defaults` will set the `default` if it is not present and then
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validate it with the schema.
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- `remove_defaults` will remove defaults using the schema, and then remove the
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value it if it is equal to `default`.
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### `OptionalNoDefault(key, check_fn)`
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Like `Optional`, but does not `apply_defaults` or `remove_defaults`.
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### `Conditional(key, check_fn, condition_key, condition_value, ensure_absent=False)`
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- If `condition_key` is equal to the `condition_value`, the specific `key`
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will be checked using the [check function](#check-functions).
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- If `ensure_absent` is `True` and the condition check fails, the `key` will
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be checked for absense.
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Note that the `condition_value` is checked for equality, so any object
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implementing `__eq__` may be used. A few are provided out of the box
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for this purpose, see [equality helpers](#equality-helpers).
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### `ConditionalOptional(key, check_fn, default, condition_key, condition_value, ensure_absent=False)`
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Similar to ``Conditional`` and ``Optional``.
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### `ConditionalRecurse(key, schema, condition_key, condition_value, ensure_absent=True)`
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Similar to `Conditional`, but uses a [schema](#making-a-schema).
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### `NoAdditionalKeys(keys)`
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Use in a mapping to ensure that only the `keys` specified are present.
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## Equality helpers
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Equality helpers at the very least implement `__eq__` for their behaviour.
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They may also implement `def describe_opposite(self):` for use in the
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`ensure_absent=True` error message (otherwise, the `__repr__` will be used).
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### `Not(val)`
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Returns `True` if the value is not equal to `val`.
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### `In(*values)`
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Returns `True` if the value is contained in `values`.
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### `NotIn(*values)`
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Returns `True` if the value is not contained in `values`.
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## Check functions
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A number of check functions are provided out of the box.
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A check function takes a single parameter, the `value`, and either raises a
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`ValidationError` or returns nothing.
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### `check_any(_)`
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A noop check function.
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### `check_type(tp, typename=None)`
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Returns a check function to check for a specific type. Setting `typename`
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will replace the type's name in the error message.
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For example:
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```python
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Required('key', check_type(int))
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# 'Expected bytes' in both python2 and python3.
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Required('key', check_type(bytes, typename='bytes'))
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```
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Several type checking functions are provided out of the box:
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- `check_bool`
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- `check_bytes`
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- `check_int`
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- `check_string`
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- `check_text`
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### `check_one_of(possible)`
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Returns a function that checks that the value is contained in `possible`.
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For example:
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```python
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Required('language', check_one_of(('javascript', 'python', 'ruby')))
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```
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### `check_regex(v)`
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Ensures that `v` is a valid python regular expression.
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### `check_array(inner_check)`
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Returns a function that checks that a value is a sequence and that each
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value in that sequence adheres to the `inner_check`.
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For example:
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```python
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Required('args', check_array(check_string))
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```
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### `check_and(*fns)`
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Returns a function that performs multiple checks on a value.
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For example:
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```python
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Required('language', check_and(check_string, my_check_language))
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```
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