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__pycache__/	dir	-	0755	2026-08-18 11:10:10
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__init__.py	file	3,941 B	0644	2024-10-29 00:00:00	edit
__main__.py	file	115 B	0644	2024-10-29 00:00:00	edit
_format.py	file	14,773 B	0644	2024-10-29 00:00:00	edit
_keywords.py	file	15,015 B	0644	2024-10-29 00:00:00	edit
_legacy_keywords.py	file	9,873 B	0644	2024-10-29 00:00:00	edit
_types.py	file	5,352 B	0644	2024-10-29 00:00:00	edit
_typing.py	file	610 B	0644	2024-10-29 00:00:00	edit
_utils.py	file	9,637 B	0644	2024-10-29 00:00:00	edit
cli.py	file	8,431 B	0644	2024-10-29 00:00:00	edit
exceptions.py	file	13,202 B	0644	2024-10-29 00:00:00	edit
protocols.py	file	7,160 B	0644	2024-10-29 00:00:00	edit
validators.py	file	46,295 B	0644	2024-10-29 00:00:00	edit

editing: _utils.py

from collections.abc import Mapping, MutableMapping, Sequence
from urllib.parse import urlsplit
import itertools
import re

class URIDict(MutableMapping):
    """
    Dictionary which uses normalized URIs as keys.
    """

def normalize(self, uri):
        return urlsplit(uri).geturl()

def __init__(self, *args, **kwargs):
        self.store = dict()
        self.store.update(*args, **kwargs)

def __getitem__(self, uri):
        return self.store[self.normalize(uri)]

def __setitem__(self, uri, value):
        self.store[self.normalize(uri)] = value

def __delitem__(self, uri):
        del self.store[self.normalize(uri)]

def __iter__(self):
        return iter(self.store)

def __len__(self):
        return len(self.store)

def __repr__(self):
        return repr(self.store)

class Unset:
    """
    An as-of-yet unset attribute or unprovided default parameter.
    """

def __repr__(self):  # pragma: no cover
        return "<unset>"

def format_as_index(container, indices):
    """
    Construct a single string containing indexing operations for the indices.

For example for a container ``bar``, [1, 2, "foo"] -> bar[1][2]["foo"]

Arguments:

container (str):

A word to use for the thing being indexed

indices (sequence):

The indices to format.
    """

if not indices:
        return container
    return f"{container}[{']['.join(repr(index) for index in indices)}]"

def find_additional_properties(instance, schema):
    """
    Return the set of additional properties for the given ``instance``.

Weeds out properties that should have been validated by ``properties`` and
    / or ``patternProperties``.

Assumes ``instance`` is dict-like already.
    """

properties = schema.get("properties", {})
    patterns = "|".join(schema.get("patternProperties", {}))
    for property in instance:
        if property not in properties:
            if patterns and re.search(patterns, property):
                continue
            yield property

def extras_msg(extras):
    """
    Create an error message for extra items or properties.
    """

verb = "was" if len(extras) == 1 else "were"
    return ", ".join(repr(extra) for extra in sorted(extras)), verb

def ensure_list(thing):
    """
    Wrap ``thing`` in a list if it's a single str.

Otherwise, return it unchanged.
    """

if isinstance(thing, str):
        return [thing]
    return thing

def _mapping_equal(one, two):
    """
    Check if two mappings are equal using the semantics of `equal`.
    """
    if len(one) != len(two):
        return False
    return all(
        key in two and equal(value, two[key])
        for key, value in one.items()
    )

def _sequence_equal(one, two):
    """
    Check if two sequences are equal using the semantics of `equal`.
    """
    if len(one) != len(two):
        return False
    return all(equal(i, j) for i, j in zip(one, two))

def equal(one, two):
    """
    Check if two things are equal evading some Python type hierarchy semantics.

Specifically in JSON Schema, evade `bool` inheriting from `int`,
    recursing into sequences to do the same.
    """
    if isinstance(one, str) or isinstance(two, str):
        return one == two
    if isinstance(one, Sequence) and isinstance(two, Sequence):
        return _sequence_equal(one, two)
    if isinstance(one, Mapping) and isinstance(two, Mapping):
        return _mapping_equal(one, two)
    return unbool(one) == unbool(two)

def unbool(element, true=object(), false=object()):
    """
    A hack to make True and 1 and False and 0 unique for ``uniq``.
    """

if element is True:
        return true
    elif element is False:
        return false
    return element

def uniq(container):
    """
    Check if all of a container's elements are unique.

Tries to rely on the container being recursively sortable, or otherwise
    falls back on (slow) brute force.
    """
    try:
        sort = sorted(unbool(i) for i in container)
        sliced = itertools.islice(sort, 1, None)

for i, j in zip(sort, sliced):
            if equal(i, j):
                return False

except (NotImplementedError, TypeError):
        seen = []
        for e in container:
            e = unbool(e)

for i in seen:
                if equal(i, e):
                    return False

seen.append(e)
    return True

def find_evaluated_item_indexes_by_schema(validator, instance, schema):
    """
    Get all indexes of items that get evaluated under the current schema

Covers all keywords related to unevaluatedItems: items, prefixItems, if,
    then, else, contains, unevaluatedItems, allOf, oneOf, anyOf
    """
    if validator.is_type(schema, "boolean"):
        return []
    evaluated_indexes = []

if "items" in schema:
        return list(range(0, len(instance)))

if "$ref" in schema:
        resolved = validator._resolver.lookup(schema["$ref"])
        evaluated_indexes.extend(
            find_evaluated_item_indexes_by_schema(
                validator.evolve(
                    schema=resolved.contents,
                    _resolver=resolved.resolver,
                ),
                instance,
                resolved.contents,
            ),
        )

if "prefixItems" in schema:
        evaluated_indexes += list(range(0, len(schema["prefixItems"])))

if "if" in schema:
        if validator.evolve(schema=schema["if"]).is_valid(instance):
            evaluated_indexes += find_evaluated_item_indexes_by_schema(
                validator, instance, schema["if"],
            )
            if "then" in schema:
                evaluated_indexes += find_evaluated_item_indexes_by_schema(
                    validator, instance, schema["then"],
                )
        else:
            if "else" in schema:
                evaluated_indexes += find_evaluated_item_indexes_by_schema(
                    validator, instance, schema["else"],
                )

for keyword in ["contains", "unevaluatedItems"]:
        if keyword in schema:
            for k, v in enumerate(instance):
                if validator.evolve(schema=schema[keyword]).is_valid(v):
                    evaluated_indexes.append(k)

for keyword in ["allOf", "oneOf", "anyOf"]:
        if keyword in schema:
            for subschema in schema[keyword]:
                errs = next(validator.descend(instance, subschema), None)
                if errs is None:
                    evaluated_indexes += find_evaluated_item_indexes_by_schema(
                        validator, instance, subschema,
                    )

return evaluated_indexes

def find_evaluated_property_keys_by_schema(validator, instance, schema):
    """
    Get all keys of items that get evaluated under the current schema

Covers all keywords related to unevaluatedProperties: properties,
    additionalProperties, unevaluatedProperties, patternProperties,
    dependentSchemas, allOf, oneOf, anyOf, if, then, else
    """
    if validator.is_type(schema, "boolean"):
        return []
    evaluated_keys = []

if "$ref" in schema:
        resolved = validator._resolver.lookup(schema["$ref"])
        evaluated_keys.extend(
            find_evaluated_property_keys_by_schema(
                validator.evolve(
                    schema=resolved.contents,
                    _resolver=resolved.resolver,
                ),
                instance,
                resolved.contents,
            ),
        )

for keyword in [
        "properties", "additionalProperties", "unevaluatedProperties",
    ]:
        if keyword in schema:
            schema_value = schema[keyword]
            if validator.is_type(schema_value, "boolean") and schema_value:
                evaluated_keys += instance.keys()

elif validator.is_type(schema_value, "object"):
                for property in schema_value:
                    if property in instance:
                        evaluated_keys.append(property)

if "patternProperties" in schema:
        for property in instance:
            for pattern in schema["patternProperties"]:
                if re.search(pattern, property):
                    evaluated_keys.append(property)

if "dependentSchemas" in schema:
        for property, subschema in schema["dependentSchemas"].items():
            if property not in instance:
                continue
            evaluated_keys += find_evaluated_property_keys_by_schema(
                validator, instance, subschema,
            )

for keyword in ["allOf", "oneOf", "anyOf"]:
        if keyword in schema:
            for subschema in schema[keyword]:
                errs = next(validator.descend(instance, subschema), None)
                if errs is None:
                    evaluated_keys += find_evaluated_property_keys_by_schema(
                        validator, instance, subschema,
                    )

if "if" in schema:
        if validator.evolve(schema=schema["if"]).is_valid(instance):
            evaluated_keys += find_evaluated_property_keys_by_schema(
                validator, instance, schema["if"],
            )
            if "then" in schema:
                evaluated_keys += find_evaluated_property_keys_by_schema(
                    validator, instance, schema["then"],
                )
        else:
            if "else" in schema:
                evaluated_keys += find_evaluated_property_keys_by_schema(
                    validator, instance, schema["else"],
                )

return evaluated_keys

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