From f83674d4674869671a97e58d2a76df8fc5b4bdb6 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 8 Nov 2023 13:45:43 +0100
Subject: [PATCH 1/6] chore: version bumps

---
 poetry.lock    | 292 ++++++++++++++++++++++++-------------------------
 pyproject.toml |   4 +-
 2 files changed, 145 insertions(+), 151 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1039749..40dc785 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -40,33 +40,29 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "black"
-version = "23.7.0"
+version = "23.11.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -76,7 +72,7 @@ packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -108,101 +104,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.1"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 [[package]]
@@ -335,13 +331,13 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.13.0"
+version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
@@ -382,13 +378,13 @@ colorama = ">=0.4"
 
 [[package]]
 name = "identify"
-version = "2.5.30"
+version = "2.5.31"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -454,13 +450,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "markdown"
-version = "3.5"
+version = "3.5.1"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -588,13 +584,13 @@ mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.4.7"
+version = "9.4.8"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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 [[package]]
 name = "ruff"
-version = "0.0.277"
-description = "An extremely fast Python linter, written in Rust."
+version = "0.1.4"
+description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
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+    {file = "ruff-0.1.4-py3-none-musllinux_1_2_i686.whl", hash = "sha256:01206e361021426e3c1b7fba06ddcb20dbc5037d64f6841e5f2b21084dc51800"},
+    {file = "ruff-0.1.4-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:645591a613a42cb7e5c2b667cbefd3877b21e0252b59272ba7212c3d35a5819f"},
+    {file = "ruff-0.1.4-py3-none-win32.whl", hash = "sha256:99908ca2b3b85bffe7e1414275d004917d1e0dfc99d497ccd2ecd19ad115fd0d"},
+    {file = "ruff-0.1.4-py3-none-win_amd64.whl", hash = "sha256:1dfd6bf8f6ad0a4ac99333f437e0ec168989adc5d837ecd38ddb2cc4a2e3db8a"},
+    {file = "ruff-0.1.4-py3-none-win_arm64.whl", hash = "sha256:d98ae9ebf56444e18a3e3652b3383204748f73e247dea6caaf8b52d37e6b32da"},
+    {file = "ruff-0.1.4.tar.gz", hash = "sha256:21520ecca4cc555162068d87c747b8f95e1e95f8ecfcbbe59e8dd00710586315"},
 ]
 
 [[package]]
@@ -1503,4 +1499,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "87456c63f23652917476560a826a33a19f57a0ced105777a1d29098f567af5a0"
+content-hash = "559a98ae01964c1ad957c1f5b4dbaa4da2e5a0043812a33e6cf9f5e38ad6816e"
diff --git a/pyproject.toml b/pyproject.toml
index 38bda3b..1f3068f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pydantic-zarr"
-version = "0.5.1"
+version = "0.5.2"
 description = "pydantic models for zarr"
 authors = ["Davis Vann Bennett <davis.v.bennett@gmail.com>"]
 readme = "README.md"
@@ -17,8 +17,6 @@ pytest = "^7.3.1"
 pytest-cov = "^4.1.0"
 mypy = "^1.3.0"
 pre-commit = "^3.3.3"
-black = "23.7.0"
-ruff = "0.0.277"
 
 [tool.poetry.group.docs.dependencies]
 mkdocs = "^1.4.3"

From de19417808d11f5cc89a6846547b53630b3780b7 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Sun, 25 Feb 2024 11:07:04 -0500
Subject: [PATCH 2/6] add flat representation and like method

---
 src/pydantic_zarr/core.py |  43 +++++
 src/pydantic_zarr/v2.py   | 372 +++++++++++++++++++++++++++++++-------
 src/pydantic_zarr/v3.py   |  21 +--
 tests/test_core.py        |   9 +
 tests/test_v2.py          |  99 +++++++++-
 5 files changed, 463 insertions(+), 81 deletions(-)
 create mode 100644 tests/test_core.py

diff --git a/src/pydantic_zarr/core.py b/src/pydantic_zarr/core.py
index 0d4e873..9ce7e09 100644
--- a/src/pydantic_zarr/core.py
+++ b/src/pydantic_zarr/core.py
@@ -1,5 +1,48 @@
+from __future__ import annotations
+from typing import Any, Dict, Literal, Mapping, Set, TypeAlias, Union
 from pydantic import BaseModel, ConfigDict
 
+IncEx: TypeAlias = Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]
+
+AccessMode: TypeAlias = Literal["w", "w+", "r", "a"]
+
 
 class StrictBase(BaseModel):
     model_config = ConfigDict(frozen=True, extra="forbid")
+
+
+def ensure_member_name(data: Any) -> str:
+    """
+    If the input is a string, then ensure that it is a valid
+    name for a subnode in a zarr group
+    """
+    if isinstance(data, str):
+        if "/" in data:
+            raise ValueError(
+                f'Strings containing "/" are invalid. Got {data}, which violates this rule.'
+            )
+        if data in ("", ".", ".."):
+            raise ValueError(f"The string {data} is not a valid member name.")
+        return data
+    raise TypeError(f"Exected a str, got {type(data)}.")
+
+
+def ensure_key_no_path(data: Any) -> Any:
+    if isinstance(data, Mapping):
+        [ensure_member_name(key) for key in data.keys()]
+    return data
+
+
+def model_like(
+    a: BaseModel, b: BaseModel, exclude: IncEx = None, include: IncEx = None
+) -> bool:
+    """
+    A similarity check for a pair pydantic.BaseModel, parametrized over included or excluded fields.
+
+
+    """
+
+    a_dict = a.model_dump(exclude=exclude, include=include)
+    b_dict = b.model_dump(exclude=exclude, include=include)
+
+    return a_dict == b_dict
diff --git a/src/pydantic_zarr/v2.py b/src/pydantic_zarr/v2.py
index ecdc874..3d9b879 100644
--- a/src/pydantic_zarr/v2.py
+++ b/src/pydantic_zarr/v2.py
@@ -2,26 +2,31 @@
 
 from typing import (
     Any,
+    Dict,
     Generic,
     Literal,
     Mapping,
-    Optional,
     TypeVar,
     Union,
     overload,
 )
 from typing_extensions import Annotated
-from pydantic import model_validator
+from pydantic import AfterValidator, model_validator
 from pydantic.functional_validators import BeforeValidator
-from zarr.storage import init_group, BaseStore
+from zarr.storage import init_group, BaseStore, contains_group
 import numcodecs
 import zarr
 import os
 import numpy as np
 import numpy.typing as npt
 from numcodecs.abc import Codec
-
-from pydantic_zarr.core import StrictBase
+from zarr.errors import ContainsGroupError
+from pydantic_zarr.core import (
+    IncEx,
+    StrictBase,
+    ensure_key_no_path,
+    model_like,
+)
 
 TAttr = TypeVar("TAttr", bound=Mapping[str, Any])
 TItem = TypeVar("TItem", bound=Union["GroupSpec", "ArraySpec"])
@@ -74,10 +79,18 @@ def dictify_codec(value: Union[dict[str, Any], Codec]) -> dict[str, Any]:
     return result
 
 
+def parse_dimension_separator(data: Any) -> Literal["/", "."]:
+    if data is None:
+        return "/"
+    if data in ("/", "."):
+        return data
+    raise ValueError(f'Invalid data, expected one of ("/", ".", None), got {data}')
+
+
 CodecDict = Annotated[dict[str, Any], BeforeValidator(dictify_codec)]
 
 
-class NodeSpecV2(StrictBase):
+class NodeSpec(StrictBase):
     """
     The base class for V2 ArraySpec and GroupSpec.
 
@@ -91,7 +104,7 @@ class NodeSpecV2(StrictBase):
     zarr_version: Literal[2] = 2
 
 
-class ArraySpec(NodeSpecV2, Generic[TAttr]):
+class ArraySpec(NodeSpec, Generic[TAttr]):
     """
     A model of a Zarr Version 2 Array.
 
@@ -122,11 +135,13 @@ class ArraySpec(NodeSpecV2, Generic[TAttr]):
     shape: tuple[int, ...]
     chunks: tuple[int, ...]
     dtype: DtypeStr
-    fill_value: Union[None, int, float] = 0
-    order: Union[Literal["C"], Literal["F"]] = "C"
-    filters: Optional[list[CodecDict]] = None
-    dimension_separator: Union[Literal["/"], Literal["."]] = "/"
-    compressor: Optional[CodecDict] = None
+    fill_value: int | float | None = 0
+    order: Literal["C", "F"] = "C"
+    filters: list[CodecDict] | None = None
+    dimension_separator: Annotated[
+        Literal["/", "."], BeforeValidator(parse_dimension_separator)
+    ] = "/"
+    compressor: CodecDict | None = None
 
     @model_validator(mode="after")
     def check_ndim(self):
@@ -198,7 +213,10 @@ def from_zarr(cls, zarray: zarr.Array):
         )
 
     def to_zarr(
-        self, store: BaseStore, path: str, overwrite: bool = False
+        self,
+        store: BaseStore,
+        path: str,
+        **kwargs,
     ) -> zarr.Array:
         """
         Serialize an ArraySpec to a zarr array at a specific path in a zarr store.
@@ -229,12 +247,54 @@ def to_zarr(
             spec_dict["filters"] = [
                 numcodecs.get_codec(f) for f in spec_dict["filters"]
             ]
-        result = zarr.create(store=store, path=path, **spec_dict, overwrite=overwrite)
+        result = zarr.create(store=store, path=path, **spec_dict, **kwargs)
         result.attrs.put(attrs)
         return result
 
+    def like(
+        self,
+        other: ArraySpec | zarr.Array,
+        include: IncEx = None,
+        exclude: IncEx = None,
+    ):
+        """
+        Compare a GroupSpec to another GroupSpec or a Zarr group, parameterized over the fields
+        to exclude or include in the comparison. Models are first converted to dict via the
+        `model_dump` method of pydantic.BaseModel, then compared with the `==` operator.
+
+        Parameters
+        ----------
+
+        other: ArraySpec | zarr.Array
+            The array (model or actual) to compare with. If other is a zarr.Array, it will be
+            converted to ArraySpec first.
+        include: IncEx
+            A specification of fields to include in the comparison. Default value is `None`,
+            which means that all fields will be included. See the documentation of
+            `pydantic.BaseModel.model_dump` for more details.
+        exclude: IncEx
+            A specification of fields to exclude from the comparison. Default value is `None`,
+            which means that no fields will be excluded. See the documentation of
+            `pydantic.BaseModel.model_dump` for more details.
+
+        Returns
+        -------
+
+        bool
+            `True` if the two models have identical fields, `False` otherwise.
+        """
+
+        other_parsed: ArraySpec
+        if isinstance(other, zarr.Array):
+            other_parsed = ArraySpec.from_zarr(other)
+        else:
+            other_parsed = other
+
+        result = model_like(self, other_parsed, include=include, exclude=exclude)
+        return result
+
 
-class GroupSpec(NodeSpecV2, Generic[TAttr, TItem]):
+class GroupSpec(NodeSpec, Generic[TAttr, TItem]):
     """
     A model of a Zarr Version 2 Group.
 
@@ -243,41 +303,54 @@ class GroupSpec(NodeSpecV2, Generic[TAttr, TItem]):
 
     attributes: TAttr
         The user-defined attributes of this group.
-    members: dict[str, TItem]
+    members: dict[str, TItem] | None
         The members of this group. `members` is a dict with string keys and values that
         must inherit from either ArraySpec or GroupSpec.
     """
 
     attributes: TAttr
-    members: dict[str, TItem] = {}
+    members: Annotated[dict[str, TItem] | None, AfterValidator(ensure_key_no_path)] = {}
 
     @classmethod
-    def from_zarr(cls, group: zarr.Group) -> "GroupSpec[TAttr, TItem]":
+    def from_zarr(cls, group: zarr.Group, depth: int = -1) -> "GroupSpec[TAttr, TItem]":
         """
-        Create a GroupSpec from a zarr group. Subgroups and arrays contained in the zarr
+        Create a GroupSpec from a Zarr group. Subgroups and arrays contained in the Zarr
         group will be converted to instances of GroupSpec and ArraySpec, respectively,
         and these spec instances will be stored in the .items attribute of the parent
-        GroupSpec. This occurs recursively, so the entire zarr hierarchy below a given
-        group can be represented as a GroupSpec.
+        GroupSpec.
 
         Parameters
         ----------
-        group : zarr group
+        group : Zarr group
+
+        depth: int
+            An integer which may be no lower than -1. Determines how far into the tree to parse.
 
         Returns
         -------
-        An instance of GroupSpec that represents the structure of the zarr hierarchy.
+        An instance of GroupSpec that represents the structure of the Zarr hierarchy.
         """
 
         result: GroupSpec[TAttr, TItem]
-        items = {}
+        attributes = group.attrs.asdict()
+        members = {}
+
+        if depth < -1:
+            msg = (
+                f"Invalid value for depth. Got {depth}, expected an integer "
+                "greater than or equal to -1."
+            )
+            raise ValueError(msg)
+        if depth == 0:
+            return cls(attributes=attributes, members=None)
+        new_depth = max(depth - 1, -1)
         for name, item in group.items():
             if isinstance(item, zarr.Array):
                 # convert to dict before the final typed GroupSpec construction
-                _item = ArraySpec.from_zarr(item).model_dump()
+                item_out = ArraySpec.from_zarr(item).model_dump()
             elif isinstance(item, zarr.Group):
                 # convert to dict before the final typed GroupSpec construction
-                _item = GroupSpec.from_zarr(item).model_dump()
+                item_out = GroupSpec.from_zarr(item, depth=new_depth).model_dump()
             else:
                 msg = (
                     f"Unparseable object encountered: {type(item)}. Expected zarr.Array"
@@ -285,12 +358,12 @@ def from_zarr(cls, group: zarr.Group) -> "GroupSpec[TAttr, TItem]":
                 )
 
                 raise ValueError(msg)
-            items[name] = _item
+            members[name] = item_out
 
-        result = cls(attributes=group.attrs.asdict(), members=items)
+        result = cls(attributes=attributes, members=members)
         return result
 
-    def to_zarr(self, store: BaseStore, path: str, overwrite: bool = False):
+    def to_zarr(self, store: BaseStore, path: str, **kwargs):
         """
         Serialize a GroupSpec to a zarr group at a specific path in a zarr store.
 
@@ -312,21 +385,79 @@ def to_zarr(self, store: BaseStore, path: str, overwrite: bool = False):
         A zarr group that is structurally identical to the GroupSpec.
         This operation will create metadata documents in the store.
         """
-        spec_dict = self.model_dump()
-        # pop items because it's not a valid kwarg for init_group
-        spec_dict.pop("members")
-        # pop attrs because it's not a valid kwarg for init_group
+        spec_dict = self.model_dump(exclude={"members": True})
         attrs = spec_dict.pop("attributes")
-        # weird that we have to call init_group before creating the group
-        init_group(store, overwrite=overwrite, path=path)
-        result = zarr.group(store=store, path=path, **spec_dict, overwrite=overwrite)
+
+        if contains_group(store, path):
+            if not kwargs.get("overwrite", False):
+                msg = (
+                    f"A group already exists at path {path}. "
+                    "Call to_zarr with overwrite=True to delete the existing group."
+                )
+                raise ContainsGroupError(msg)
+            else:
+                init_group(store=store, overwrite=kwargs["overwrite"], path=path)
+
+        result = zarr.group(store=store, path=path, **kwargs)
         result.attrs.put(attrs)
-        for name, member in self.members.items():
-            subpath = os.path.join(path, name)
-            member.to_zarr(store, subpath, overwrite=overwrite)
+        if self.members is not None:
+            for name, member in self.members.items():
+                subpath = os.path.join(path, name)
+                member.to_zarr(store, subpath, **kwargs)
+
+        return result
+
+    def like(
+        self,
+        other: GroupSpec | zarr.Group,
+        include: IncEx = None,
+        exclude: IncEx = None,
+    ):
+        """
+        Compare a GroupSpec to another GroupSpec or a Zarr group, parameterized over the fields
+        to exclude or include in the comparison. Models are first converted to dict via the
+        `model_dump` method of pydantic.BaseModel, then compared with the `==` operator.
+
+        Parameters
+        ----------
+
+        other: GroupSpec | zarr.Group
+            The group (model or actual) to compare with. If other is a zarr.Group, it will be
+            converted to GroupSpec first.
+        include: IncEx
+            A specification of fields to include in the comparison. Default value is `None`,
+            which means that all fields will be included. See the documentation of
+            `pydantic.BaseModel.model_dump` for more details.
+        exclude: IncEx
+            A specification of fields to exclude from the comparison. Default value is `None`,
+            which means that no fields will be excluded. See the documentation of
+            `pydantic.BaseModel.model_dump` for more details.
+
+        Returns
+        -------
+
+        bool
+            `True` if the two models have identical fields, `False` otherwise.
+        """
 
+        other_parsed: GroupSpec
+        if isinstance(other, zarr.Group):
+            other_parsed = GroupSpec.from_zarr(other)
+        else:
+            other_parsed = other
+
+        result = model_like(self, other_parsed, include=include, exclude=exclude)
         return result
 
+    @classmethod
+    def from_flat(cls, data: Dict[str, ArraySpec | GroupSpec]):
+        """
+        Create a GroupSpec from a "flat" representation
+        (a dict mapping string paths to ArraySpec or GroupSpec instances)
+        """
+        unflattened = unflatten_group(data)
+        return cls(**unflattened.model_dump())
+
 
 @overload
 def from_zarr(element: zarr.Group) -> GroupSpec:
@@ -338,7 +469,9 @@ def from_zarr(element: zarr.Array) -> ArraySpec:
     ...
 
 
-def from_zarr(element: Union[zarr.Array, zarr.Group]) -> Union[ArraySpec, GroupSpec]:
+def from_zarr(
+    element: zarr.Array | zarr.Group, depth: int = -1
+) -> ArraySpec | GroupSpec:
     """
     Recursively parse a Zarr group or Zarr array into an untyped ArraySpec or GroupSpec.
 
@@ -354,30 +487,15 @@ def from_zarr(element: Union[zarr.Array, zarr.Group]) -> Union[ArraySpec, GroupS
 
     if isinstance(element, zarr.Array):
         result = ArraySpec.from_zarr(element)
+        return result
     elif isinstance(element, zarr.Group):
-        members = {}
-        for name, member in element.items():
-            if isinstance(member, zarr.Array):
-                _item = ArraySpec.from_zarr(member)
-            elif isinstance(member, zarr.Group):
-                _item = GroupSpec.from_zarr(member)
-            else:
-                msg = (
-                    f"Unparseable object encountered: {type(member)}. Expected "
-                    "zarr.Array or zarr.Group.",
-                )
-                raise ValueError(msg)
-            members[name] = _item
-
-        result = GroupSpec(attributes=element.attrs.asdict(), members=members)
+        result = GroupSpec.from_zarr(element, depth=depth)
         return result
-    else:
-        msg = (
-            f"Object of type {type(element)} cannot be processed by this function. "
-            "This function can only parse zarr.Group or zarr.Array"
-        )
-        raise ValueError(msg)
-    return result
+    msg = (
+        f"Object of type {type(element)} cannot be processed by this function. "
+        "This function can only parse zarr.Group or zarr.Array"
+    )
+    raise TypeError(msg)
 
 
 @overload
@@ -385,7 +503,7 @@ def to_zarr(
     spec: ArraySpec,
     store: BaseStore,
     path: str,
-    overwrite: bool = False,
+    **kwargs,
 ) -> zarr.Array:
     ...
 
@@ -395,17 +513,17 @@ def to_zarr(
     spec: GroupSpec,
     store: BaseStore,
     path: str,
-    overwrite: bool = False,
+    **kwargs,
 ) -> zarr.Group:
     ...
 
 
 def to_zarr(
-    spec: Union[ArraySpec, GroupSpec],
+    spec: ArraySpec | GroupSpec,
     store: BaseStore,
     path: str,
-    overwrite: bool = False,
-) -> Union[zarr.Array, zarr.Group]:
+    **kwargs,
+) -> zarr.Array | zarr.Group:
     """
     Serialize a GroupSpec or ArraySpec to a zarr group or array at a specific path in
     a zarr store.
@@ -433,9 +551,9 @@ def to_zarr(
 
     """
     if isinstance(spec, ArraySpec):
-        result = spec.to_zarr(store, path, overwrite=overwrite)
+        result = spec.to_zarr(store, path, **kwargs)
     elif isinstance(spec, GroupSpec):
-        result = spec.to_zarr(store, path, overwrite=overwrite)
+        result = spec.to_zarr(store, path, **kwargs)
     else:
         msg = (
             "Invalid argument for spec. Expected an instance of GroupSpec or ",
@@ -444,3 +562,119 @@ def to_zarr(
         raise ValueError(msg)
 
     return result
+
+
+def flatten(
+    node: ArraySpec | GroupSpec, path: str = "/"
+) -> Dict[str, ArraySpec | GroupSpec]:
+    """
+    Flatten a `GroupSpec` or `ArraySpec`.
+    Takes a `GroupSpec` or `ArraySpec` and a string, and returns dictionary with string keys and values that are
+    `GroupSpec` or `ArraySpec`. If the input is an `ArraySpec`, then this function just returns the dict `{path: node}`.
+    If the input is a `GroupSpec`, then the resulting dictionary will contain a copy of the input with an empty `members` attribute
+    under the key `path`, as well as copies of the result of calling `flatten_node` on each member of the input, each under a key created by joining `path` with a '/` character
+    to the name of each member.
+
+    Paramters
+    ---------
+    node: `GroupSpec` | `ArraySpec`
+        The node to flatten.
+    path: `str`, default is 'root'
+        The root path. If the input is a `GroupSpec`, then the keys in `GroupSpec.members` will be
+        made relative to `path` when used as keys in the result dictionary.
+
+    Returns
+    -------
+    `Dict[str, GroupSpec | ArraySpec]`
+
+    """
+    result = {}
+    model_copy: Union[ArraySpec, GroupSpec]
+    if isinstance(node, ArraySpec):
+        model_copy = node.model_copy(deep=True)
+    else:
+        model_copy = node.model_copy(deep=True, update={"members": None})
+        if node.members is not None:
+            for name, value in node.members.items():
+                result.update(flatten(value, os.path.join(path, name)))
+
+    result[path] = model_copy
+
+    return result
+
+
+def unflatten(tree: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
+    """
+    Wraps unflatten_group, handling the special case where a zarr array is defined at the root of
+    a hierarchy and thus is not contained by a group.
+    """
+
+    if (
+        len(tree.keys()) == 1
+        and tuple(tree.keys()) == ("/",)
+        and isinstance(tuple(tree.values())[0], ArraySpec)
+    ):
+        return tuple(tree.values())[0]
+    else:
+        return unflatten_group(tree)
+
+
+def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
+    """
+    Generate a GroupSpec from a "flat" representation of a hierarchy, i.e. a dictionary with
+    string keys (paths) and ArraySpec / GroupSpec values (nodes).
+    """
+    root_name = ""
+    sep = "/"
+    # arrays that will be members of the returned GroupSpec
+    member_arrays: Dict[str, ArraySpec] = {}
+    # groups, and their members, that will be members of the returned GroupSpec.
+    # this dict is constructed by recursively applying this function.
+    member_groups: Dict[str, GroupSpec] = {}
+    # this dict collects the arrays and groups that belong to one of the members of the group
+    # we are constructing. They will later be aggregated in a recursive step that populates
+    # member_groups
+    submember_by_parent_name: Dict[str, Dict[str, ArraySpec | GroupSpec]] = {}
+
+    # Get the root node
+    try:
+        # The root node is a GroupSpec with the key "/"
+        root_node = data.pop(root_name + sep)
+        if isinstance(root_node, ArraySpec):
+            raise ValueError("Got an ArraySpec as the root node. This is invalid.")
+    except KeyError:
+        # If a root node was not found, create a default one
+        root_node = GroupSpec(attributes={}, members=None)
+
+    # partition the tree (sans root node) into 2 categories: (arrays, groups + their members).
+    for key, value in data.items():
+        key_parts = key.split(sep)
+        if key_parts[0] != root_name:
+            raise ValueError(f'Invalid path: {key} does not start with "{sep}".')
+
+        subparent_name = key_parts[1]
+
+        if len(key_parts) == 2:
+            # this is an array or group that belongs to the group we are ultimately returning
+            if isinstance(value, ArraySpec):
+                member_arrays[subparent_name] = value
+            else:
+                if subparent_name not in submember_by_parent_name:
+                    submember_by_parent_name[subparent_name] = {}
+                submember_by_parent_name[subparent_name][sep] = value
+        else:
+            # these are groups or arrays that belong to one of the member groups
+            # not great that we repeat this conditional dict initialization
+            if subparent_name not in submember_by_parent_name:
+                submember_by_parent_name[subparent_name] = {}
+            submember_by_parent_name[subparent_name][
+                sep.join([root_name, *key_parts[2:]])
+            ] = value
+
+    # recurse
+    for subparent_name, submemb in submember_by_parent_name.items():
+        member_groups[subparent_name] = unflatten_group(submemb)
+
+    return GroupSpec(
+        members={**member_groups, **member_arrays}, attributes=root_node.attributes
+    )
diff --git a/src/pydantic_zarr/v3.py b/src/pydantic_zarr/v3.py
index 31a4686..bc21680 100644
--- a/src/pydantic_zarr/v3.py
+++ b/src/pydantic_zarr/v3.py
@@ -7,7 +7,6 @@
     List,
     Literal,
     Mapping,
-    Optional,
     Sequence,
     Tuple,
     TypeVar,
@@ -42,7 +41,7 @@
 
 class NamedConfig(StrictBase):
     name: str
-    configuration: Optional[Mapping[str, Any]]
+    configuration: Mapping[str, Any] | None
 
 
 class RegularChunkingConfig(StrictBase):
@@ -55,15 +54,15 @@ class RegularChunking(NamedConfig):
 
 
 class DefaultChunkKeyEncodingConfig(StrictBase):
-    separator: Union[Literal["."], Literal["/"]]
+    separator: Literal[".", "/"]
 
 
 class DefaultChunkKeyEncoding(NamedConfig):
     name: Literal["default"]
-    configuration: Optional[DefaultChunkKeyEncodingConfig]
+    configuration: DefaultChunkKeyEncodingConfig | None
 
 
-class NodeSpecV3(StrictBase):
+class NodeSpec(StrictBase):
     """
     The base class for V3 ArraySpec and GroupSpec.
 
@@ -77,7 +76,7 @@ class NodeSpecV3(StrictBase):
     zarr_format: Literal[3] = 3
 
 
-class ArraySpec(NodeSpecV3, Generic[TAttr]):
+class ArraySpec(NodeSpec, Generic[TAttr]):
     """
     A model of a Zarr Version 3 Array.
 
@@ -115,8 +114,8 @@ class ArraySpec(NodeSpecV3, Generic[TAttr]):
     chunk_key_encoding: NamedConfig  # todo: validate this against shape
     fill_value: FillValue  # todo: validate this against the data type
     codecs: Sequence[NamedConfig]
-    storage_transformers: Optional[Sequence[NamedConfig]] = None
-    dimension_names: Optional[Sequence[str]]  # todo: validate this against shape
+    storage_transformers: Sequence[NamedConfig] | None = None
+    dimension_names: Sequence[str] | None  # todo: validate this against shape
 
     @classmethod
     def from_array(cls, array: npt.NDArray[Any], **kwargs):
@@ -189,7 +188,7 @@ def to_zarr(
         raise NotImplementedError
 
 
-class GroupSpec(NodeSpecV3, Generic[TAttr, TItem]):
+class GroupSpec(NodeSpec, Generic[TAttr, TItem]):
     """
     A model of a Zarr Version 3 Group.
 
@@ -206,11 +205,11 @@ class GroupSpec(NodeSpecV3, Generic[TAttr, TItem]):
     """
 
     node_type: Literal["group"] = "group"
-    attributes: TAttr
+    attributes: TAttr = {}
     members: dict[str, TItem] = {}
 
     @classmethod
-    def from_zarr(cls, group: zarr.Group) -> "GroupSpec[TAttr, TItem]":
+    def from_zarr(cls, group: zarr.Group) -> GroupSpec[TAttr, TItem]:
         """
         Create a GroupSpec from a zarr group. Subgroups and arrays contained in the zarr
         group will be converted to instances of GroupSpec and ArraySpec, respectively,
diff --git a/tests/test_core.py b/tests/test_core.py
new file mode 100644
index 0000000..193634c
--- /dev/null
+++ b/tests/test_core.py
@@ -0,0 +1,9 @@
+import pytest
+
+from pydantic_zarr.core import ensure_member_name
+
+
+@pytest.mark.parametrize("data", ["/", "///", "a/b/", "a/b/vc"])
+def test_parse_str_no_path(data) -> None:
+    with pytest.raises(ValueError, match='Strings containing "/" are invalid.'):
+        ensure_member_name(data)
diff --git a/tests/test_v2.py b/tests/test_v2.py
index 40ebc7c..d397acb 100644
--- a/tests/test_v2.py
+++ b/tests/test_v2.py
@@ -5,7 +5,14 @@
 from typing import Any, Literal, Union, Optional
 import numcodecs
 from numcodecs.abc import Codec
-from pydantic_zarr.v2 import ArraySpec, GroupSpec, to_zarr, from_zarr
+from pydantic_zarr.v2 import (
+    ArraySpec,
+    GroupSpec,
+    flatten,
+    to_zarr,
+    from_zarr,
+    unflatten,
+)
 import numpy as np
 import numpy.typing as npt
 import sys
@@ -320,3 +327,93 @@ def test_from_array(shape, dtype):
     spec2 = ArraySpec.from_array(template, chunks=chunks, attributes=attrs)
     assert spec2.chunks == chunks
     assert spec2.attributes == attrs
+
+
+@pytest.mark.parametrize("data", ["/", "a/b/c"])
+def test_member_name(data: str):
+    with pytest.raises(ValidationError, match='Strings containing "/" are invalid.'):
+        GroupSpec(attributes={}, members={data: GroupSpec(attributes={}, members={})})
+
+
+@pytest.mark.parametrize(
+    ("data, expected"),
+    [
+        (
+            ArraySpec.from_array(np.arange(10)),
+            {"/": ArraySpec.from_array(np.arange(10))},
+        ),
+        (
+            GroupSpec(
+                attributes={"foo": 10},
+                members={
+                    "a": ArraySpec.from_array(np.arange(5), attributes={"foo": 100})
+                },
+            ),
+            {
+                "/": GroupSpec(attributes={"foo": 10}, members=None),
+                "/a": ArraySpec.from_array(np.arange(5), attributes={"foo": 100}),
+            },
+        ),
+        (
+            GroupSpec(
+                attributes={},
+                members={
+                    "a": GroupSpec(
+                        attributes={"foo": 10},
+                        members={
+                            "a": ArraySpec.from_array(
+                                np.arange(5), attributes={"foo": 100}
+                            )
+                        },
+                    ),
+                    "b": ArraySpec.from_array(np.arange(2), attributes={"foo": 3}),
+                },
+            ),
+            {
+                "/": GroupSpec(attributes={}, members=None),
+                "/a": GroupSpec(attributes={"foo": 10}, members=None),
+                "/a/a": ArraySpec.from_array(np.arange(5), attributes={"foo": 100}),
+                "/b": ArraySpec.from_array(np.arange(2), attributes={"foo": 3}),
+            },
+        ),
+    ],
+)
+def test_flatten_unflatten(data, expected) -> None:
+    flattened = flatten(data)
+    assert flattened == expected
+    assert unflatten(flattened) == data
+
+
+# todo: parametrize
+def test_array_like() -> None:
+    a = ArraySpec.from_array(np.arange(10))
+    assert a.like(a)
+
+    b = a.model_copy(update={"dtype": "uint8"})
+    assert not a.like(b)
+    assert a.like(b, exclude={"dtype"})
+    assert a.like(b, include={"shape"})
+
+    c = a.model_copy(update={"shape": (100, 100)})
+    assert not a.like(c)
+    assert a.like(c, exclude={"shape"})
+    assert a.like(c, include={"dtype"})
+
+
+# todo: parametrize
+def test_group_like() -> None:
+    tree = {
+        "/": GroupSpec(attributes={"path": "/"}, members=None),
+        "/a": GroupSpec(attributes={"path": "/a"}, members=None),
+        "/b": ArraySpec.from_array(np.arange(10), attributes={"path": "/b"}),
+        "/a/b": ArraySpec.from_array(np.arange(10), attributes={"path": "/a/b"}),
+    }
+    group = GroupSpec.from_flat(tree)
+    assert group.like(group)
+    assert not group.like(group.model_copy(update={"attributes": None}))
+    assert group.like(
+        group.model_copy(update={"attributes": None}), exclude={"attributes"}
+    )
+    assert group.like(
+        group.model_copy(update={"attributes": None}), include={"members"}
+    )

From 4b9f7ce7b96c532e1b70c12e21f68adc32b3705d Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Tue, 27 Feb 2024 21:36:56 -0500
Subject: [PATCH 3/6] better docstrings, better docs

---
 docs/api/v2.md            |    1 +
 docs/api/v3.md            |    1 +
 docs/usage_zarr_v2.md     |    4 +-
 mkdocs.yaml               |   13 +-
 poetry.lock               | 1073 +++++++++++++++++++------------------
 src/pydantic_zarr/core.py |   10 +-
 src/pydantic_zarr/v2.py   |  498 +++++++++++------
 src/pydantic_zarr/v3.py   |    7 +-
 tests/test_v2.py          |   42 +-
 9 files changed, 949 insertions(+), 700 deletions(-)
 create mode 100644 docs/api/v2.md
 create mode 100644 docs/api/v3.md

diff --git a/docs/api/v2.md b/docs/api/v2.md
new file mode 100644
index 0000000..63ef8fb
--- /dev/null
+++ b/docs/api/v2.md
@@ -0,0 +1 @@
+::: pydantic_zarr.v2
\ No newline at end of file
diff --git a/docs/api/v3.md b/docs/api/v3.md
new file mode 100644
index 0000000..4934fa4
--- /dev/null
+++ b/docs/api/v3.md
@@ -0,0 +1 @@
+::: pydantic_zarr.v3
\ No newline at end of file
diff --git a/docs/usage_zarr_v2.md b/docs/usage_zarr_v2.md
index 0ece84e..dc783db 100644
--- a/docs/usage_zarr_v2.md
+++ b/docs/usage_zarr_v2.md
@@ -132,7 +132,7 @@ except ValidationError as exc:
     1 validation error for GroupSpec[GroupAttrs, ~TItem]
     attributes.b
       Input should be a valid integer, unable to parse string as an integer [type=int_parsing, input_value='foo', input_type=str]
-        For further information visit https://errors.pydantic.dev/2.4/v/int_parsing
+        For further information visit https://errors.pydantic.dev/2.6/v/int_parsing
     """
 
 # this passes validation
@@ -151,7 +151,7 @@ except ValidationError as exc:
     1 validation error for GroupSpec[~TAttr, ArraySpec]
     members.foo
       Input should be a valid dictionary or instance of ArraySpec [type=model_type, input_value=GroupSpec(zarr_version=2,...tributes={}, members={}), input_type=GroupSpec]
-        For further information visit https://errors.pydantic.dev/2.4/v/model_type
+        For further information visit https://errors.pydantic.dev/2.6/v/model_type
     """
 
 # this passes validation
diff --git a/mkdocs.yaml b/mkdocs.yaml
index ae469dc..c7be668 100644
--- a/mkdocs.yaml
+++ b/mkdocs.yaml
@@ -30,14 +30,23 @@ nav:
     - About: index.md
     - Usage (Zarr V3): usage_zarr_v3.md
     - Usage (Zarr V2): usage_zarr_v2.md
-    - API: api/core.md
+    - API:
+      - core: api/core.md
+      - v2: api/v2.md
+      - v3: api/v3.md
 
 plugins:
 - mkdocstrings:
     handlers:
         python:
           options:
-            show_signature_annotations: true
+            docstring_style: numpy
+            members_order: source
+            separate_signature: true
+            filters: ["!^_"]
+            docstring_options:
+              ignore_init_summary: true
+            merge_init_into_class: true
 
 markdown_extensions:
   - pymdownx.highlight:
diff --git a/poetry.lock b/poetry.lock
index 40dc785..f1cae87 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -23,46 +23,47 @@ files = [
 
 [[package]]
 name = "babel"
-version = "2.13.1"
+version = "2.14.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.13.1-py3-none-any.whl", hash = "sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed"},
-    {file = "Babel-2.13.1.tar.gz", hash = "sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900"},
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
 ]
 
-[package.dependencies]
-setuptools = {version = "*", markers = "python_version >= \"3.12\""}
-
 [package.extras]
 dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "black"
-version = "23.11.0"
+version = "24.2.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "black-23.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dbea0bb8575c6b6303cc65017b46351dc5953eea5c0a59d7b7e3a2d2f433a911"},
-    {file = "black-23.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:412f56bab20ac85927f3a959230331de5614aecda1ede14b373083f62ec24e6f"},
-    {file = "black-23.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d136ef5b418c81660ad847efe0e55c58c8208b77a57a28a503a5f345ccf01394"},
-    {file = "black-23.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:6c1cac07e64433f646a9a838cdc00c9768b3c362805afc3fce341af0e6a9ae9f"},
-    {file = "black-23.11.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cf57719e581cfd48c4efe28543fea3d139c6b6f1238b3f0102a9c73992cbb479"},
-    {file = "black-23.11.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:698c1e0d5c43354ec5d6f4d914d0d553a9ada56c85415700b81dc90125aac244"},
-    {file = "black-23.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:760415ccc20f9e8747084169110ef75d545f3b0932ee21368f63ac0fee86b221"},
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-    {file = "black-23.11.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a9acad1451632021ee0d146c8765782a0c3846e0e0ea46659d7c4f89d9b212b"},
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-    {file = "black-23.11.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7f622b6822f02bfaf2a5cd31fdb7cd86fcf33dab6ced5185c35f5db98260b055"},
-    {file = "black-23.11.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:250d7e60f323fcfc8ea6c800d5eba12f7967400eb6c2d21ae85ad31c204fb1f4"},
-    {file = "black-23.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5133f5507007ba08d8b7b263c7aa0f931af5ba88a29beacc4b2dc23fcefe9c06"},
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-    {file = "black-23.11.0-py3-none-any.whl", hash = "sha256:54caaa703227c6e0c87b76326d0862184729a69b73d3b7305b6288e1d830067e"},
-    {file = "black-23.11.0.tar.gz", hash = "sha256:4c68855825ff432d197229846f971bc4d6666ce90492e5b02013bcaca4d9ab05"},
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+    {file = "black-24.2.0-cp38-cp38-win_amd64.whl", hash = "sha256:faf2ee02e6612577ba0181f4347bcbcf591eb122f7841ae5ba233d12c39dcb4d"},
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+    {file = "black-24.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:08654d0797e65f2423f850fc8e16a0ce50925f9337fb4a4a176a7aa4026e63f8"},
+    {file = "black-24.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ca610d29415ee1a30a3f30fab7a8f4144e9d34c89a235d81292a1edb2b55f540"},
+    {file = "black-24.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:4dd76e9468d5536abd40ffbc7a247f83b2324f0c050556d9c371c2b9a9a95e31"},
+    {file = "black-24.2.0-py3-none-any.whl", hash = "sha256:e8a6ae970537e67830776488bca52000eaa37fa63b9988e8c487458d9cd5ace6"},
+    {file = "black-24.2.0.tar.gz", hash = "sha256:bce4f25c27c3435e4dace4815bcb2008b87e167e3bf4ee47ccdc5ce906eb4894"},
 ]
 
 [package.dependencies]
@@ -76,19 +77,19 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
-    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -228,63 +229,63 @@ files = [
 
 [[package]]
 name = "coverage"
-version = "7.3.2"
+version = "7.4.3"
 description = "Code coverage measurement for Python"
 optional = false
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 ]
 
 [package.dependencies]
@@ -295,24 +296,24 @@ toml = ["tomli"]
 
 [[package]]
 name = "distlib"
-version = "0.3.7"
+version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
 ]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.3"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -364,13 +365,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "0.36.9"
+version = "0.41.0"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "griffe-0.41.0.tar.gz", hash = "sha256:850128c3198c18713eaf0a6cc8572e590a16b1965f72a4e871e66cf84740903f"},
 ]
 
 [package.dependencies]
@@ -378,13 +379,13 @@ colorama = ">=0.4"
 
 [[package]]
 name = "identify"
-version = "2.5.31"
+version = "2.5.35"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -392,31 +393,31 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
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+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "7.0.1"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
@@ -433,13 +434,13 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -450,13 +451,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "markdown"
-version = "3.5.1"
+version = "3.5.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -468,61 +469,71 @@ testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -569,28 +580,29 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "0.5.0"
+version = "1.0.0"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 Markdown = ">=3.3"
+markupsafe = ">=2.0.1"
 mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.4.8"
+version = "9.5.11"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -598,7 +610,7 @@ babel = ">=2.10,<3.0"
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
-mkdocs = ">=1.5.3,<2.0"
+mkdocs = ">=1.5.3,<1.6.0"
 mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
 pygments = ">=2.16,<3.0"
@@ -607,19 +619,19 @@ regex = ">=2022.4"
 requests = ">=2.26,<3.0"
 
 [package.extras]
-git = ["mkdocs-git-committers-plugin-2 (>=1.1,<2.0)", "mkdocs-git-revision-date-localized-plugin (>=1.2,<2.0)"]
-imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=9.4,<10.0)"]
+git = ["mkdocs-git-committers-plugin-2 (>=1.1,<2.0)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"]
+imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=10.2,<11.0)"]
 recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
 
 [[package]]
 name = "mkdocs-material-extensions"
-version = "1.3"
+version = "1.3.1"
 description = "Extension pack for Python Markdown and MkDocs Material."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material_extensions-1.3-py3-none-any.whl", hash = "sha256:0297cc48ba68a9fdd1ef3780a3b41b534b0d0df1d1181a44676fda5f464eeadc"},
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 ]
 
 [[package]]
@@ -651,53 +663,53 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.7.3"
+version = "1.8.0"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
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 [[package]]
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 [[package]]
 name = "setuptools"
-version = "68.2.2"
+version = "69.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "six"
@@ -1375,47 +1388,47 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.8.0"
+version = "4.10.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "urllib3"
-version = "2.0.7"
+version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.6"
+version = "20.25.1"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 distlib = ">=0.3.7,<1"
 filelock = ">=3.12.2,<4"
-platformdirs = ">=3.9.1,<4"
+platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
@@ -1423,38 +1436,40 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "watchdog"
-version = "3.0.0"
+version = "4.0.0"
 description = "Filesystem events monitoring"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "watchdog-4.0.0.tar.gz", hash = "sha256:e3e7065cbdabe6183ab82199d7a4f6b3ba0a438c5a512a68559846ccb76a78ec"},
 ]
 
 [package.extras]
@@ -1462,23 +1477,23 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "zarr"
-version = "2.16.1"
+version = "2.17.0"
 description = "An implementation of chunked, compressed, N-dimensional arrays for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zarr-2.16.1-py3-none-any.whl", hash = "sha256:de4882433ccb5b42cc1ec9872b95e64ca3a13581424666b28ed265ad76c7056f"},
-    {file = "zarr-2.16.1.tar.gz", hash = "sha256:4276cf4b4a653431042cd53ff2282bc4d292a6842411e88529964504fb073286"},
+    {file = "zarr-2.17.0-py3-none-any.whl", hash = "sha256:d287cb61019c4a0a0f386f76eeaa7f0b1160b1cb90cf96173a4b6cbc135df6e1"},
+    {file = "zarr-2.17.0.tar.gz", hash = "sha256:6390a2b8af31babaab4c963efc45bf1da7f9500c9aafac193f84cf019a7c66b0"},
 ]
 
 [package.dependencies]
 asciitree = "*"
-fasteners = "*"
+fasteners = {version = "*", markers = "sys_platform != \"emscripten\""}
 numcodecs = ">=0.10.0"
-numpy = ">=1.20,<1.21.0 || >1.21.0"
+numpy = ">=1.21.1"
 
 [package.extras]
-docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx-issues", "sphinx-rtd-theme"]
+docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-automodapi", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
 jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
 
 [[package]]
diff --git a/src/pydantic_zarr/core.py b/src/pydantic_zarr/core.py
index 9ce7e09..5fec358 100644
--- a/src/pydantic_zarr/core.py
+++ b/src/pydantic_zarr/core.py
@@ -1,5 +1,13 @@
 from __future__ import annotations
-from typing import Any, Dict, Literal, Mapping, Set, TypeAlias, Union
+from typing import (
+    Any,
+    Dict,
+    Literal,
+    Mapping,
+    Set,
+    TypeAlias,
+    Union,
+)
 from pydantic import BaseModel, ConfigDict
 
 IncEx: TypeAlias = Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]
diff --git a/src/pydantic_zarr/v2.py b/src/pydantic_zarr/v2.py
index 3d9b879..b9f42a4 100644
--- a/src/pydantic_zarr/v2.py
+++ b/src/pydantic_zarr/v2.py
@@ -8,6 +8,7 @@
     Mapping,
     TypeVar,
     Union,
+    cast,
     overload,
 )
 from typing_extensions import Annotated
@@ -34,18 +35,17 @@
 
 def stringify_dtype(value: npt.DTypeLike):
     """
-    Convert a np.dtype object into a string
+    Convert a `numpy.dtype` object into a `str`.
 
-    Paramters
+    Parameters
     ---------
-
-    value: DTypeLike
+    value: `npt.DTypeLike`
         Some object that can be coerced to a numpy dtype
 
     Returns
     -------
 
-    A numpy dtype string representation of the input.
+    A numpy dtype string representation of `value`.
     """
     return np.dtype(value).str
 
@@ -53,35 +53,48 @@ def stringify_dtype(value: npt.DTypeLike):
 DtypeStr = Annotated[str, BeforeValidator(stringify_dtype)]
 
 
-def dictify_codec(value: Union[dict[str, Any], Codec]) -> dict[str, Any]:
+def dictify_codec(value: dict[str, Any] | Codec) -> dict[str, Any]:
     """
-    Ensure that a numcodecs `Codec` is converted to a dict. If the input is not an
-    insance of `numcodecs.abc.Codec`, then it is assumed to be a dict with string keys
+    Ensure that a `numcodecs.abc.Codec` is converted to a `dict`. If the input is not an
+    insance of `numcodecs.abc.Codec`, then it is assumed to be a `dict` with string keys
     and it is returned unaltered.
 
-    Paramters
+    Parameters
     ---------
 
-    value : Union[dict[str, Any], numcodecs.abc.Codec]
+    value : dict[str, Any] | numcodecs.abc.Codec
         The value to be dictified if it is not already a dict.
 
     Returns
     -------
-
-    If the input was a `Codec`, then the result of calling `get_config()` on that
-    object is returned. This should be a dict with string keys. All other values pass
-    through unaltered.
+    dict[str, Any]
+        If the input was a `Codec`, then the result of calling `get_config()` on that
+        object is returned. This should be a dict with string keys. All other values pass
+        through unaltered.
     """
     if isinstance(value, Codec):
-        result = value.get_config()
-    else:
-        result = value
-    return result
+        return value.get_config()
+    return value
 
 
 def parse_dimension_separator(data: Any) -> Literal["/", "."]:
+    """
+    Parse the dimension_separator metadata as per the Zarr version 2 specification.
+    If the input is `None`, this returns ".".
+    If the input is either "." or "/", this returns it.
+    Otherwise, raises a ValueError.
+
+    Parameters
+    ----------
+    data: Any
+        The input data to parse.
+
+    Returns
+    -------
+    Literal["/", "."]
+    """
     if data is None:
-        return "/"
+        return "."
     if data in ("/", "."):
         return data
     raise ValueError(f'Invalid data, expected one of ("/", ".", None), got {data}')
@@ -92,7 +105,7 @@ def parse_dimension_separator(data: Any) -> Literal["/", "."]:
 
 class NodeSpec(StrictBase):
     """
-    The base class for V2 ArraySpec and GroupSpec.
+    The base class for V2 `ArraySpec` and `GroupSpec`.
 
     Attributes
     ----------
@@ -106,32 +119,38 @@ class NodeSpec(StrictBase):
 
 class ArraySpec(NodeSpec, Generic[TAttr]):
     """
-    A model of a Zarr Version 2 Array.
+    A model of a Zarr Version 2 Array. The specification for the data structure being modeled by
+    this class can be found in the
+    [Zarr specification](https://zarr.readthedocs.io/en/stable/spec/v2.html#arrays).
 
     Attributes
     ----------
-
-    attributes: TAttr
-        User-defined metadata associated with this array.
-    shape: Sequence[int]
+    attributes: TAttr, default = {}
+        User-defined metadata associated with this array. Should be JSON-serializable.
+    shape: tuple[int, ...]
         The shape of this array.
     dtype: str
         The data type of this array.
-    chunks: Sequence[int]
+    chunks: Tuple[int, ...]
         The chunk size for this array.
-    order: Union["C", "F"]
+    order: "C" | "F", default = "C"
         The memory order of this array. Must be either "C", which designates "C order",
-        or "F", which designates "F order".
-    fill_value: FillValue
+        AKA lexicographic ordering or "F", which designates "F order", AKA colexicographic ordering.
+        The default is "C".
+    fill_value: FillValue, default = 0
         The fill value for this array. The default is 0.
-    compressor: Optional[CodecDict]
-        A JSON-serializable representation of a compression codec, or None.
-    dimension_separator: Union[".", "/"]
-        The character used for separating chunk keys for this array. Must be either "/"
-        or ".". The default is "/".
+    compressor: CodecDict | None
+        A JSON-serializable representation of a compression codec, or None. The default is None.
+    filters: List[CodecDict] | None, default = None
+        A list of JSON-serializable representations of compression codec, or None.
+        The default is None.
+    dimension_separator: "." | "/", default = "/"
+        The character used for partitioning the different dimensions of a chunk key.
+        Must be either "/" or ".", or absent, in which case it is interpreted as ".".
+        The default is "/".
     """
 
-    attributes: TAttr
+    attributes: TAttr = cast(TAttr, {})
     shape: tuple[int, ...]
     chunks: tuple[int, ...]
     dtype: DtypeStr
@@ -146,7 +165,7 @@ class ArraySpec(NodeSpec, Generic[TAttr]):
     @model_validator(mode="after")
     def check_ndim(self):
         """
-        Check that the length of shape and chunks matches.
+        Check that the `shape` and `chunks` and attributes have the same length.
         """
         if (lshape := len(self.shape)) != (lchunks := len(self.chunks)):
             msg = (
@@ -159,20 +178,31 @@ def check_ndim(self):
     @classmethod
     def from_array(cls, array: npt.NDArray[Any], **kwargs):
         """
-        Create an ArraySpec from a numpy array-like object.
+        Create an `ArraySpec` from a numpy array-like object.
 
         Parameters
         ----------
-        array : object that conforms to the numpy array API.
-            The shape and dtype of this object will be used to construct an ArraySpec.
-            If the `chunks` keyword argument is not given, the shape of the array will
+        array : an array-like object.
+            Must have `shape` and `dtype` attributes.
+            The `shape` and `dtype` of this object will be used to construct an `ArraySpec`.
+            If the `chunks` keyword argument is not given, the `shape` of the array will
             be used for the chunks.
-
-        **kwargs : keyword arguments to the ArraySpec class constructor.
+        **kwargs
+            Keyword arguments passed to the `ArraySpec` constructor.
 
         Returns
         -------
-        An instance of ArraySpec with properties derived from the provided array.
+        ArraySpec
+            An instance of `ArraySpec` with `shape` and `dtype` attributes derived from `array`.
+
+        Examples
+        --------
+        >>> from pydantic_zarr.v2 import ArraySpec
+        >>> import numpy as np
+        >>> x = ArraySpec.from_array(np.arange(10))
+        >>> x
+        ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)
+
 
         """
         return cls(
@@ -186,16 +216,24 @@ def from_array(cls, array: npt.NDArray[Any], **kwargs):
     @classmethod
     def from_zarr(cls, zarray: zarr.Array):
         """
-        Create an ArraySpec from a zarr array.
+        Create an `ArraySpec` from an instance of `zarr.Array`.
 
         Parameters
         ----------
-        zarray : zarr array
+        zarray : zarr.Array
 
         Returns
         -------
-        An instance of ArraySpec with properties derived from the provided zarr
-        array.
+        ArraySpec
+            An instance of `ArraySpec` with properties derived from `array`.
+
+        Examples
+        --------
+        >>> import zarr
+        >>> from pydantic_zarr.v2 import ArraySpec
+        >>> x = zarr.create((10,10))
+        >>> ArraySpec.from_zarr(x)
+        ArraySpec(zarr_version=2, attributes={}, shape=(10, 10), chunks=(10, 10), dtype='<f8', fill_value=0.0, order='C', filters=None, dimension_separator='.', compressor={'id': 'blosc', 'cname': 'lz4', 'clevel': 5, 'shuffle': 1, 'blocksize': 0})
 
         """
         return cls(
@@ -219,25 +257,24 @@ def to_zarr(
         **kwargs,
     ) -> zarr.Array:
         """
-        Serialize an ArraySpec to a zarr array at a specific path in a zarr store.
+        Serialize an `ArraySpec` to a Zarr array at a specific path in a Zarr store. This operation
+        will create metadata documents in the store, but will not write any chunks.
 
         Parameters
         ----------
         store : instance of zarr.BaseStore
             The storage backend that will manifest the array.
-
         path : str
             The location of the array inside the store.
-
         overwrite : bool
             Whether to overwrite an existing array or group at the path. If overwrite is
-            False and an array or group already exists at the path, an exception will be
-            raised. Defaults to False.
+            `False` and an array or group already exists at `path`, an exception will be
+            raised. The default is `False`.
 
         Returns
         -------
-        A zarr array that is structurally identical to the ArraySpec.
-        This operation will create metadata documents in the store.
+        zarr.Array
+            A Zarr array that is structurally identical to `self`.
         """
         spec_dict = self.model_dump()
         attrs = spec_dict.pop("attributes")
@@ -254,34 +291,52 @@ def to_zarr(
     def like(
         self,
         other: ArraySpec | zarr.Array,
+        *,
         include: IncEx = None,
         exclude: IncEx = None,
     ):
         """
-        Compare a GroupSpec to another GroupSpec or a Zarr group, parameterized over the fields
-        to exclude or include in the comparison. Models are first converted to dict via the
-        `model_dump` method of pydantic.BaseModel, then compared with the `==` operator.
+        Compare am `ArraySpec` to another `ArraySpec` or a `zarr.Array`, parameterized over the
+        fields to exclude or include in the comparison. Models are first converted to `dict` via the
+        `model_dump` method of `pydantic.BaseModel`, then compared with the `==` operator.
 
         Parameters
         ----------
-
         other: ArraySpec | zarr.Array
-            The array (model or actual) to compare with. If other is a zarr.Array, it will be
-            converted to ArraySpec first.
-        include: IncEx
-            A specification of fields to include in the comparison. Default value is `None`,
+            The array (model or actual) to compare with. If other is a `zarr.Array`, it will be
+            converted to `ArraySpec` first.
+        include: IncEx, default = None
+            A specification of fields to include in the comparison. The default value is `None`,
             which means that all fields will be included. See the documentation of
             `pydantic.BaseModel.model_dump` for more details.
-        exclude: IncEx
-            A specification of fields to exclude from the comparison. Default value is `None`,
+        exclude: IncEx, default = None
+            A specification of fields to exclude from the comparison. The default value is `None`,
             which means that no fields will be excluded. See the documentation of
             `pydantic.BaseModel.model_dump` for more details.
 
         Returns
         -------
-
         bool
-            `True` if the two models have identical fields, `False` otherwise.
+            `True` if the two models have identical fields, `False` otherwise, given
+            the set of fields specified by the `include` and `exclude` keyword arguments.
+
+        Examples
+        --------
+        >>> import zarr
+        >>> from pydantic_zarr.v2 import ArraySpec
+        >>> x = zarr.create((10,10))
+        >>> x.attrs.put({'foo': 10})
+        >>> x_model = ArraySpec.from_zarr(x)
+        >>> print(x_model.like(x_model)) # it is like itself.
+        True
+        >>> print(x_model.like(x))
+        True
+        >>> y = zarr.create((10,10))
+        >>> y.attrs.put({'foo': 11}) # x and y are the same, other than their attrs
+        >>> print(x_model.like(y))
+        False
+        >>> print(x_model.like(y, exclude={'attributes'}))
+        True
         """
 
         other_parsed: ArraySpec
@@ -297,32 +352,45 @@ def like(
 class GroupSpec(NodeSpec, Generic[TAttr, TItem]):
     """
     A model of a Zarr Version 2 Group.
+    The specification for the data structure being modeled by this
+    class can be found in the
+    [Zarr specification](https://zarr.readthedocs.io/en/stable/spec/v2.html#groups).
 
     Attributes
     ----------
 
-    attributes: TAttr
-        The user-defined attributes of this group.
-    members: dict[str, TItem] | None
-        The members of this group. `members` is a dict with string keys and values that
-        must inherit from either ArraySpec or GroupSpec.
+    attributes: TAttr, default = {}
+        The user-defined attributes of this group. Should be JSON-serializable.
+    members: dict[str, TItem] | None, default = {}
+        The members of this group. `members` may be `None`, which models the condition
+        where the members are unknown, e.g., because they have not been discovered yet.
+        If `members` is not s`None`, then it must be a dict with string keys and values that
+        are either `ArraySpec` or `GroupSpec`.
     """
 
-    attributes: TAttr
+    attributes: TAttr = cast(TAttr, {})
     members: Annotated[dict[str, TItem] | None, AfterValidator(ensure_key_no_path)] = {}
 
     @classmethod
-    def from_zarr(cls, group: zarr.Group, depth: int = -1) -> "GroupSpec[TAttr, TItem]":
+    def from_zarr(
+        cls, group: zarr.Group, *, depth: int = -1
+    ) -> "GroupSpec[TAttr, TItem]":
         """
-        Create a GroupSpec from a Zarr group. Subgroups and arrays contained in the Zarr
-        group will be converted to instances of GroupSpec and ArraySpec, respectively,
-        and these spec instances will be stored in the .items attribute of the parent
-        GroupSpec.
+        Create a GroupSpec from an instance of `zarr.Group`. Subgroups and arrays contained in the
+        Zarr group will be converted to instances of `GroupSpec` and `ArraySpec`, respectively,
+        and these spec instances will be stored in the `members` attribute of the parent
+        `GroupSpec`.
+
+        This is a recursive function, and the depth of recursion can be controlled by the `depth`
+        keyword argument. The default value for `depth` is -1, which directs this function to
+        traverse the entirety of a `zarr.Group`. This may be slow for large hierarchies, in which
+        case setting `depth` to a positive integer can limit how deep into the hierarchy the
+        recursion goes.
 
         Parameters
         ----------
-        group : Zarr group
-
+        group : zarr.Group
+            The Zarr group to model.
         depth: int
             An integer which may be no lower than -1. Determines how far into the tree to parse.
 
@@ -365,16 +433,14 @@ def from_zarr(cls, group: zarr.Group, depth: int = -1) -> "GroupSpec[TAttr, TIte
 
     def to_zarr(self, store: BaseStore, path: str, **kwargs):
         """
-        Serialize a GroupSpec to a zarr group at a specific path in a zarr store.
-
+        Serialize this `GroupSpec` to a Zarr group at a specific path in a `zarr.BaseStore`.
+        This operation will create metadata documents in the store.
         Parameters
         ----------
-        store : instance of zarr.BaseStore
+        store : zarr.BaseStore
             The storage backend that will manifest the group and its contents.
-
         path : str
             The location of the group inside the store.
-
         overwrite : bool
             Whether to overwrite an existing array or group at the path. If overwrite is
             False and an array or group already exists at the path, an exception will be
@@ -382,8 +448,9 @@ def to_zarr(self, store: BaseStore, path: str, **kwargs):
 
         Returns
         -------
-        A zarr group that is structurally identical to the GroupSpec.
-        This operation will create metadata documents in the store.
+        zarr.Group
+            A zarr group that is structurally identical to the GroupSpec.
+
         """
         spec_dict = self.model_dump(exclude={"members": True})
         attrs = spec_dict.pop("attributes")
@@ -395,8 +462,8 @@ def to_zarr(self, store: BaseStore, path: str, **kwargs):
                     "Call to_zarr with overwrite=True to delete the existing group."
                 )
                 raise ContainsGroupError(msg)
-            else:
-                init_group(store=store, overwrite=kwargs["overwrite"], path=path)
+        else:
+            init_group(store=store, overwrite=kwargs.get("overwrite", False), path=path)
 
         result = zarr.group(store=store, path=path, **kwargs)
         result.attrs.put(attrs)
@@ -414,30 +481,50 @@ def like(
         exclude: IncEx = None,
     ):
         """
-        Compare a GroupSpec to another GroupSpec or a Zarr group, parameterized over the fields
-        to exclude or include in the comparison. Models are first converted to dict via the
-        `model_dump` method of pydantic.BaseModel, then compared with the `==` operator.
+        Compare a `GroupSpec` to another `GroupSpec` or a `zarr.Group`, parameterized over the
+        fields to exclude or include in the comparison. Models are first converted to dict via the
+        `model_dump` method of `pydantic.BaseModel`, then compared with the `==` operator.
 
         Parameters
         ----------
-
         other: GroupSpec | zarr.Group
-            The group (model or actual) to compare with. If other is a zarr.Group, it will be
-            converted to GroupSpec first.
-        include: IncEx
-            A specification of fields to include in the comparison. Default value is `None`,
+            The group (model or actual) to compare with. If other is a `zarr.Group`, it will be
+            converted to a `GroupSpec`.
+        include: IncEx, default = None
+            A specification of fields to include in the comparison. The default is `None`,
             which means that all fields will be included. See the documentation of
             `pydantic.BaseModel.model_dump` for more details.
-        exclude: IncEx
-            A specification of fields to exclude from the comparison. Default value is `None`,
+        exclude: IncEx, default = None
+            A specification of fields to exclude from the comparison. The default is `None`,
             which means that no fields will be excluded. See the documentation of
             `pydantic.BaseModel.model_dump` for more details.
 
         Returns
         -------
-
         bool
             `True` if the two models have identical fields, `False` otherwise.
+
+        Examples
+        --------
+        >>> import zarr
+        >>> from pydantic_zarr.v2 import GroupSpec
+        >>> import numpy as np
+        >>> z1 = zarr.group(path='z1')
+        >>> z1a = z1.array(name='foo', data=np.arange(10))
+        >>> z1_model = GroupSpec.from_zarr(z1)
+        >>> print(z1_model.like(z1_model)) # it is like itself
+        True
+        >>> print(z1_model.like(z1))
+        True
+        >>> z2 = zarr.group(path='z2')
+        >>> z2a = z2.array(name='foo', data=np.arange(10))
+        >>> print(z1_model.like(z2))
+        True
+        >>> z2.attrs.put({'foo' : 100}) # now they have different attributes
+        >>> print(z1_model.like(z2))
+        False
+        >>> print(z1_model.like(z2, exclude={'attributes'}))
+        True
         """
 
         other_parsed: GroupSpec
@@ -452,8 +539,32 @@ def like(
     @classmethod
     def from_flat(cls, data: Dict[str, ArraySpec | GroupSpec]):
         """
-        Create a GroupSpec from a "flat" representation
-        (a dict mapping string paths to ArraySpec or GroupSpec instances)
+        Create a `GroupSpec` from a flat hierarchy representation. The flattened hierarchy is a
+        `dict` with the following constraints. Keys must be valid paths; values must
+        be `ArraySpec` or `GroupSpec` instances.
+
+        Parameters
+        ----------
+        data: Dict[str, ArraySpec | GroupSpec]
+            A flattened representation of a Zarr hierarchy.
+
+        Returns
+        -------
+        GroupSpec
+            A `GroupSpec` representation of the hierarchy.
+
+        Examples
+        --------
+        >>> from pydantic_zarr.v2 import GroupSpec, ArraySpec
+        >>> import numpy as np
+        >>> flat = {'': GroupSpec(attributes={'foo': 10}, members=None)}
+        >>> GroupSpec.from_flat(flat)
+        GroupSpec(zarr_version=2, attributes={'foo': 10}, members={})
+        >>> flat = {
+            '': GroupSpec(attributes={'foo': 10}, members=None),
+            '/a': ArraySpec.from_array(np.arange(10))}
+        >>> GroupSpec.from_flat(flat)
+        GroupSpec(zarr_version=2, attributes={'foo': 10}, members={'a': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
         """
         unflattened = unflatten_group(data)
         return cls(**unflattened.model_dump())
@@ -473,16 +584,22 @@ def from_zarr(
     element: zarr.Array | zarr.Group, depth: int = -1
 ) -> ArraySpec | GroupSpec:
     """
-    Recursively parse a Zarr group or Zarr array into an untyped ArraySpec or GroupSpec.
+    Recursively parse a `zarr.Group` or `zarr.Array` into an `ArraySpec` or `GroupSpec`.
 
     Parameters
-    ---------
-    element : Union[zarr.Array, zarr.Group]
+    ----------
+    element : zarr.Array | zarr.Group
+        The `zarr.Array` or `zarr.Group` to model.
+    depth: int, default = -1
+        An integer which may be no lower than -1. If `element` is a `zarr.Group`, the `depth`
+        parameter determines how deeply the hierarchy defined by `element` will be parsed.
+        This argument has no effect if `element` is a `zarr.Array`.
 
     Returns
     -------
-    An instance of GroupSpec or ArraySpec that represents the
-    structure of the zarr group or array.
+    ArraySpec | GroupSpec
+        An instance of `GroupSpec` or `ArraySpec` that models the structure of the input Zarr group
+        or array.
     """
 
     if isinstance(element, zarr.Array):
@@ -525,29 +642,27 @@ def to_zarr(
     **kwargs,
 ) -> zarr.Array | zarr.Group:
     """
-    Serialize a GroupSpec or ArraySpec to a zarr group or array at a specific path in
-    a zarr store.
+    Serialize a `GroupSpec` or `ArraySpec` to a Zarr group or array at a specific path in
+    a Zarr store.
 
     Parameters
     ----------
-    spec : GroupSpec or ArraySpec
-        The GroupSpec or ArraySpec that will be serialized to storage.
-
-    store : instance of zarr.BaseStore
-        The storage backend that will manifest the group or array.
-
+    spec : ArraySpec | GroupSpec
+        The `GroupSpec` or `ArraySpec` that will be serialized to storage.
+    store : zarr.BaseStore
+        The storage backend that will manifest the Zarr group or array modeled by `spec`.
     path : str
-        The location of the group or array inside the store.
-
+        The location of the Zarr group or array inside the store.
     overwrite : bool
-       Whether to overwrite an existing array or group at the path. If overwrite is
-        False and an array or group already exists at the path, an exception will be
-        raised. Defaults to False.
+        Whether to overwrite an existing array or group at the path. If overwrite is
+        `False` and a Zarr array or group already exists at `path`, an exception will be
+        raised. Defaults to `False`.
 
     Returns
     -------
-    A zarr Group or Array that is structurally equivalent to the spec object.
-    This operation will create metadata documents in the store.
+    zarr.Array | zarr.Group
+        A `zarr.Group` or `zarr.Array` that is structurally equivalent to `spec`.
+        This operation will create metadata documents in the store.
 
     """
     if isinstance(spec, ArraySpec):
@@ -556,8 +671,8 @@ def to_zarr(
         result = spec.to_zarr(store, path, **kwargs)
     else:
         msg = (
-            "Invalid argument for spec. Expected an instance of GroupSpec or ",
-            f"ArraySpec, got {type(spec)} instead.",
+            "Invalid argument for spec. Expected an instance of `GroupSpec` or ",
+            f"`ArraySpec`, got {type(spec)} instead.",
         )
         raise ValueError(msg)
 
@@ -565,81 +680,145 @@ def to_zarr(
 
 
 def flatten(
-    node: ArraySpec | GroupSpec, path: str = "/"
+    node: ArraySpec | GroupSpec, root_path: str = ""
 ) -> Dict[str, ArraySpec | GroupSpec]:
     """
     Flatten a `GroupSpec` or `ArraySpec`.
-    Takes a `GroupSpec` or `ArraySpec` and a string, and returns dictionary with string keys and values that are
-    `GroupSpec` or `ArraySpec`. If the input is an `ArraySpec`, then this function just returns the dict `{path: node}`.
-    If the input is a `GroupSpec`, then the resulting dictionary will contain a copy of the input with an empty `members` attribute
-    under the key `path`, as well as copies of the result of calling `flatten_node` on each member of the input, each under a key created by joining `path` with a '/` character
-    to the name of each member.
+    Takes a `GroupSpec` or `ArraySpec` and a string, and returns a `dict` with string keys and
+    values that are `GroupSpec` or `ArraySpec`.
 
-    Paramters
+    If the input is an `ArraySpec`, then this function just returns the dict `{root_path: node}`.
+
+    If the input is a `GroupSpec`, then the resulting `dict` will contain a copy of the input
+    with a null `members` attribute under the key `root_path`, as well as copies of the result of
+    calling `flatten_node` on each element of `node.members`, each under a key created by joining
+    `root_path` with a '/` character to the name of each member, and so on recursively for each
+    sub-member.
+
+    Parameters
     ---------
     node: `GroupSpec` | `ArraySpec`
         The node to flatten.
-    path: `str`, default is 'root'
+    root_path: `str`, default = ''.
         The root path. If the input is a `GroupSpec`, then the keys in `GroupSpec.members` will be
         made relative to `path` when used as keys in the result dictionary.
 
     Returns
     -------
-    `Dict[str, GroupSpec | ArraySpec]`
-
+    Dict[str, ArraySpec | GroupSpec]
+        A flattened representation of the hierarchy.
+
+    Examples
+    --------
+
+    >>> from pydantic_zarr.v2 import flatten, GroupSpec
+    >>> g1 = GroupSpec(members=None, attributes={'foo': 'bar'})
+    >>> flatten(g1)
+    {'': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
+    >>> flatten(g1 root_path='baz')
+    {'baz': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
+    >>> flatten(GroupSpec(members={'g1': g1}, attributes={'foo': 'bar'}))
+    {'/g1': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None), '': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
     """
     result = {}
-    model_copy: Union[ArraySpec, GroupSpec]
+    model_copy: ArraySpec | GroupSpec
     if isinstance(node, ArraySpec):
         model_copy = node.model_copy(deep=True)
     else:
         model_copy = node.model_copy(deep=True, update={"members": None})
         if node.members is not None:
             for name, value in node.members.items():
-                result.update(flatten(value, os.path.join(path, name)))
+                result.update(flatten(value, "/".join([root_path, name])))
 
-    result[path] = model_copy
+    result[root_path] = model_copy
 
     return result
 
 
-def unflatten(tree: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
+def unflatten(data: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
     """
-    Wraps unflatten_group, handling the special case where a zarr array is defined at the root of
-    a hierarchy and thus is not contained by a group.
+    Wraps `unflatten_group`, handling the special case where a Zarr array is defined at the root of
+    a hierarchy and thus is not contained by a Zarr group.
+
+    Parameters
+    ----------
+
+    data: Dict[str, ArraySpec | GroupSpec]
+        A flat representation of a Zarr hierarchy. This is a `dict` with keys that are strings,
+        and values that are either `GroupSpec` or `ArraySpec` instances.
+
+    Returns
+    -------
+    ArraySpec | GroupSpec
+        The `ArraySpec` or `GroupSpec` representation of the input data.
+
+    Examples
+    --------
+    >>> from pydantic_zarr.v2 import unflatten, GroupSpec, ArraySpec
+    >>> import numpy as np
+    >>> tree = {'': ArraySpec.from_array(np.arange(10))}
+    >>> unflatten(tree) # special case of a Zarr array at the root of the hierarchy
+    ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)
+    >>> tree = {'/foo': ArraySpec.from_array(np.arange(10))}
+    >>> unflatten(tree) # note that an implicit Group is created
+    GroupSpec(zarr_version=2, attributes={}, members={'foo': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
     """
 
-    if (
-        len(tree.keys()) == 1
-        and tuple(tree.keys()) == ("/",)
-        and isinstance(tuple(tree.values())[0], ArraySpec)
-    ):
-        return tuple(tree.values())[0]
+    # minimal check that the keys are valid
+    invalid_keys = []
+    for key in data.keys():
+        if key.endswith("/"):
+            invalid_keys.append(key)
+    if len(invalid_keys) > 0:
+        msg = f'Invalid keys {invalid_keys} found in data. Keys may not end with the "/"" character'
+        raise ValueError(msg)
+
+    if tuple(data.keys()) == ("",) and isinstance(tuple(data.values())[0], ArraySpec):
+        return tuple(data.values())[0]
     else:
-        return unflatten_group(tree)
+        return unflatten_group(data)
 
 
 def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
     """
-    Generate a GroupSpec from a "flat" representation of a hierarchy, i.e. a dictionary with
-    string keys (paths) and ArraySpec / GroupSpec values (nodes).
+    Generate a `GroupSpec` from a flat representation of a hierarchy, i.e. a `dict` with
+    string keys (paths) and `ArraySpec` / `GroupSpec` values (nodes).
+
+    Parameters
+    ----------
+    data: Dict[str, ArraySpec | GroupSpec]
+        A flat representation of a Zarr hierarchy rooted at a Zarr group.
+
+    Returns
+    -------
+    GroupSpec
+        A `GroupSpec` that represents the hierarchy described by `data`.
+
+    Examples
+    --------
+    >>> from pydantic_zarr.v2 import unflatten_group, GroupSpec, ArraySpec
+    >>> import numpy as np
+    >>> tree = {'/foo': ArraySpec.from_array(np.arange(10))}
+    >>> unflatten_group(tree) # note that an implicit Group is created
+    GroupSpec(zarr_version=2, attributes={}, members={'foo': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
     """
     root_name = ""
     sep = "/"
     # arrays that will be members of the returned GroupSpec
     member_arrays: Dict[str, ArraySpec] = {}
     # groups, and their members, that will be members of the returned GroupSpec.
-    # this dict is constructed by recursively applying this function.
+    # this dict is populated by recursively applying `unflatten_group` function.
     member_groups: Dict[str, GroupSpec] = {}
-    # this dict collects the arrays and groups that belong to one of the members of the group
-    # we are constructing. They will later be aggregated in a recursive step that populates
-    # member_groups
+    # this dict collects the arrayspecs and groupspecs that belong to one of the members of the
+    # groupspecs we are constructing. They will later be aggregated in a recursive step that
+    # populates member_groups
     submember_by_parent_name: Dict[str, Dict[str, ArraySpec | GroupSpec]] = {}
-
+    # copy the input to ensure that mutations are contained inside this function
+    data_copy = data.copy()
     # Get the root node
     try:
-        # The root node is a GroupSpec with the key "/"
-        root_node = data.pop(root_name + sep)
+        # The root node is a GroupSpec with the key ""
+        root_node = data_copy.pop(root_name)
         if isinstance(root_node, ArraySpec):
             raise ValueError("Got an ArraySpec as the root node. This is invalid.")
     except KeyError:
@@ -647,13 +826,14 @@ def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
         root_node = GroupSpec(attributes={}, members=None)
 
     # partition the tree (sans root node) into 2 categories: (arrays, groups + their members).
-    for key, value in data.items():
+    for key, value in data_copy.items():
         key_parts = key.split(sep)
         if key_parts[0] != root_name:
-            raise ValueError(f'Invalid path: {key} does not start with "{sep}".')
+            raise ValueError(
+                f'Invalid path: {key} does not start with "{root_name}{sep}".'
+            )
 
         subparent_name = key_parts[1]
-
         if len(key_parts) == 2:
             # this is an array or group that belongs to the group we are ultimately returning
             if isinstance(value, ArraySpec):
@@ -661,7 +841,7 @@ def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
             else:
                 if subparent_name not in submember_by_parent_name:
                     submember_by_parent_name[subparent_name] = {}
-                submember_by_parent_name[subparent_name][sep] = value
+                submember_by_parent_name[subparent_name][root_name] = value
         else:
             # these are groups or arrays that belong to one of the member groups
             # not great that we repeat this conditional dict initialization
diff --git a/src/pydantic_zarr/v3.py b/src/pydantic_zarr/v3.py
index bc21680..9081b4c 100644
--- a/src/pydantic_zarr/v3.py
+++ b/src/pydantic_zarr/v3.py
@@ -11,6 +11,7 @@
     Tuple,
     TypeVar,
     Union,
+    cast,
     overload,
 )
 from zarr.storage import BaseStore
@@ -107,7 +108,7 @@ class ArraySpec(NodeSpec, Generic[TAttr]):
     """
 
     node_type: Literal["array"] = "array"
-    attributes: TAttr = {}
+    attributes: TAttr = cast(TAttr, {})
     shape: Sequence[int]
     data_type: DtypeStr
     chunk_grid: NamedConfig  # todo: validate this against shape
@@ -205,7 +206,7 @@ class GroupSpec(NodeSpec, Generic[TAttr, TItem]):
     """
 
     node_type: Literal["group"] = "group"
-    attributes: TAttr = {}
+    attributes: TAttr = cast(TAttr, {})
     members: dict[str, TItem] = {}
 
     @classmethod
@@ -317,7 +318,7 @@ def to_zarr(
     path : str
         The location of the group or array inside the store.
     overwrite : bool
-       Whether to overwrite an existing array or group at the path. If overwrite is
+        Whether to overwrite an existing array or group at the path. If overwrite is
         False and an array or group already exists at the path, an exception will be
         raised. Defaults to False.
 
diff --git a/tests/test_v2.py b/tests/test_v2.py
index d397acb..c1cc006 100644
--- a/tests/test_v2.py
+++ b/tests/test_v2.py
@@ -295,6 +295,7 @@ class ArrayAttrsB(TypedDict):
 
     GroupA.from_zarr(groupAMat)
     GroupB.from_zarr(groupBMat)
+
     ArrayA.from_zarr(groupAMat["a"])
     ArrayB.from_zarr(groupBMat["a"])
 
@@ -340,7 +341,7 @@ def test_member_name(data: str):
     [
         (
             ArraySpec.from_array(np.arange(10)),
-            {"/": ArraySpec.from_array(np.arange(10))},
+            {"": ArraySpec.from_array(np.arange(10))},
         ),
         (
             GroupSpec(
@@ -350,7 +351,7 @@ def test_member_name(data: str):
                 },
             ),
             {
-                "/": GroupSpec(attributes={"foo": 10}, members=None),
+                "": GroupSpec(attributes={"foo": 10}, members=None),
                 "/a": ArraySpec.from_array(np.arange(5), attributes={"foo": 100}),
             },
         ),
@@ -370,7 +371,7 @@ def test_member_name(data: str):
                 },
             ),
             {
-                "/": GroupSpec(attributes={}, members=None),
+                "": GroupSpec(attributes={}, members=None),
                 "/a": GroupSpec(attributes={"foo": 10}, members=None),
                 "/a/a": ArraySpec.from_array(np.arange(5), attributes={"foo": 100}),
                 "/b": ArraySpec.from_array(np.arange(2), attributes={"foo": 3}),
@@ -403,7 +404,7 @@ def test_array_like() -> None:
 # todo: parametrize
 def test_group_like() -> None:
     tree = {
-        "/": GroupSpec(attributes={"path": "/"}, members=None),
+        "": GroupSpec(attributes={"path": ""}, members=None),
         "/a": GroupSpec(attributes={"path": "/a"}, members=None),
         "/b": ArraySpec.from_array(np.arange(10), attributes={"path": "/b"}),
         "/a/b": ArraySpec.from_array(np.arange(10), attributes={"path": "/a/b"}),
@@ -417,3 +418,36 @@ def test_group_like() -> None:
     assert group.like(
         group.model_copy(update={"attributes": None}), include={"members"}
     )
+
+
+# todo: parametrize
+def test_from_zarr_depth():
+    tree = {
+        "": GroupSpec(members=None, attributes={"level": 0, "type": "group"}),
+        "/1": GroupSpec(members=None, attributes={"level": 1, "type": "group"}),
+        "/1/2": GroupSpec(members=None, attributes={"level": 2, "type": "group"}),
+        "/1/2/1": GroupSpec(members=None, attributes={"level": 3, "type": "group"}),
+        "/1/2/2": ArraySpec.from_array(
+            np.arange(20), attributes={"level": 3, "type": "array"}
+        ),
+    }
+
+    store = zarr.MemoryStore()
+    group_out = GroupSpec.from_flat(tree).to_zarr(store, path="test")
+    group_in_0 = GroupSpec.from_zarr(group_out, depth=0)
+    assert group_in_0 == tree[""]
+
+    group_in_1 = GroupSpec.from_zarr(group_out, depth=1)
+    assert group_in_1.attributes == tree[""].attributes
+    assert group_in_1.members["1"] == tree["/1"]
+
+    group_in_2 = GroupSpec.from_zarr(group_out, depth=2)
+    assert group_in_2.members["1"].members["2"] == tree["/1/2"]
+    assert group_in_2.attributes == tree[""].attributes
+    assert group_in_2.members["1"].attributes == tree["/1"].attributes
+
+    group_in_3 = GroupSpec.from_zarr(group_out, depth=3)
+    assert group_in_3.members["1"].members["2"].members["1"] == tree["/1/2/1"]
+    assert group_in_3.attributes == tree[""].attributes
+    assert group_in_3.members["1"].attributes == tree["/1"].attributes
+    assert group_in_3.members["1"].members["2"].attributes == tree["/1/2"].attributes

From c013c17e4ba5780979e83c37f7c852f314d65aba Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Tue, 27 Feb 2024 22:46:42 -0500
Subject: [PATCH 4/6] handle overwrite kwarg correctly in to_zarr

---
 src/pydantic_zarr/v2.py | 81 +++++++++++++++++++++++++++++------------
 tests/test_v2.py        | 47 ++++++++++++++++++++++--
 2 files changed, 101 insertions(+), 27 deletions(-)

diff --git a/src/pydantic_zarr/v2.py b/src/pydantic_zarr/v2.py
index b9f42a4..4d35f56 100644
--- a/src/pydantic_zarr/v2.py
+++ b/src/pydantic_zarr/v2.py
@@ -14,14 +14,14 @@
 from typing_extensions import Annotated
 from pydantic import AfterValidator, model_validator
 from pydantic.functional_validators import BeforeValidator
-from zarr.storage import init_group, BaseStore, contains_group
+from zarr.storage import init_group, BaseStore, contains_group, contains_array
 import numcodecs
 import zarr
 import os
 import numpy as np
 import numpy.typing as npt
 from numcodecs.abc import Codec
-from zarr.errors import ContainsGroupError
+from zarr.errors import ContainsGroupError, ContainsArrayError
 from pydantic_zarr.core import (
     IncEx,
     StrictBase,
@@ -266,11 +266,8 @@ def to_zarr(
             The storage backend that will manifest the array.
         path : str
             The location of the array inside the store.
-        overwrite : bool
-            Whether to overwrite an existing array or group at the path. If overwrite is
-            `False` and an array or group already exists at `path`, an exception will be
-            raised. The default is `False`.
-
+        **kwargs : Any
+            Additional keyword arguments are passed to `zarr.create`.
         Returns
         -------
         zarr.Array
@@ -278,13 +275,36 @@ def to_zarr(
         """
         spec_dict = self.model_dump()
         attrs = spec_dict.pop("attributes")
+        overwrite = kwargs.pop("overwrite", False)
+        if kwargs.get("mode", "r").startswith("w"):
+            raise ValueError("Mode='w' is not supported yet")
         if self.compressor is not None:
             spec_dict["compressor"] = numcodecs.get_codec(spec_dict["compressor"])
         if self.filters is not None:
             spec_dict["filters"] = [
                 numcodecs.get_codec(f) for f in spec_dict["filters"]
             ]
-        result = zarr.create(store=store, path=path, **spec_dict, **kwargs)
+        if contains_array(store, path):
+            extant_array = zarr.open_array(store, path=path, mode="r")
+
+            if not self.like(extant_array):
+                if not overwrite:
+                    msg = (
+                        f"An array already exists at path {path}. "
+                        "That array is structurally dissimilar to the array you are trying to "
+                        "store. Call to_zarr with overwrite=True to overwrite that array."
+                    )
+                    raise ContainsArrayError(msg)
+            else:
+                if not overwrite:
+                    # extant_array is read-only, so we make a new array handle that
+                    # takes **kwargs
+                    return zarr.open_array(
+                        store=extant_array.store, path=extant_array.path, **kwargs
+                    )
+        result = zarr.create(
+            store=store, path=path, overwrite=overwrite, **spec_dict, **kwargs
+        )
         result.attrs.put(attrs)
         return result
 
@@ -441,36 +461,51 @@ def to_zarr(self, store: BaseStore, path: str, **kwargs):
             The storage backend that will manifest the group and its contents.
         path : str
             The location of the group inside the store.
-        overwrite : bool
-            Whether to overwrite an existing array or group at the path. If overwrite is
-            False and an array or group already exists at the path, an exception will be
-            raised. Defaults to False.
+        **kwargs : Any
+            Additional keyword arguments that will be passed to `zarr.create` for creating
+            sub-arrays.
 
         Returns
         -------
         zarr.Group
-            A zarr group that is structurally identical to the GroupSpec.
+            A zarr group that is structurally identical to `self`.
 
         """
         spec_dict = self.model_dump(exclude={"members": True})
         attrs = spec_dict.pop("attributes")
-
+        overwrite = kwargs.pop("overwrite", False)
         if contains_group(store, path):
-            if not kwargs.get("overwrite", False):
-                msg = (
-                    f"A group already exists at path {path}. "
-                    "Call to_zarr with overwrite=True to delete the existing group."
-                )
-                raise ContainsGroupError(msg)
+            extant_group = zarr.group(store, path=path)
+            if not self.like(extant_group):
+                if not overwrite:
+                    msg = (
+                        f"A group already exists at path {path}. "
+                        "That group is structurally dissimilar to the group you are trying to store."
+                        "Call to_zarr with overwrite=True to overwrite that group."
+                    )
+                    raise ContainsGroupError(msg)
+            else:
+                if not overwrite:
+                    # if the extant group is structurally identical to self, and overwrite is false,
+                    # then just return the extant group
+                    return extant_group
+
+        elif contains_array(store, path) and not overwrite:
+            msg = (
+                f"An array already exists at path {path}. "
+                "Call to_zarr with overwrite=True to overwrite the array."
+            )
+            raise ContainsArrayError(msg)
         else:
-            init_group(store=store, overwrite=kwargs.get("overwrite", False), path=path)
+            init_group(store=store, overwrite=overwrite, path=path)
 
-        result = zarr.group(store=store, path=path, **kwargs)
+        result = zarr.group(store=store, path=path, overwrite=overwrite)
         result.attrs.put(attrs)
+        # consider raising an exception if a partial GroupSpec is provided
         if self.members is not None:
             for name, member in self.members.items():
                 subpath = os.path.join(path, name)
-                member.to_zarr(store, subpath, **kwargs)
+                member.to_zarr(store, subpath, overwrite=overwrite, **kwargs)
 
         return result
 
diff --git a/tests/test_v2.py b/tests/test_v2.py
index c1cc006..8e56c09 100644
--- a/tests/test_v2.py
+++ b/tests/test_v2.py
@@ -1,7 +1,7 @@
 from pydantic import ValidationError
 import pytest
 import zarr
-from zarr.errors import ContainsGroupError
+from zarr.errors import ContainsGroupError, ContainsArrayError
 from typing import Any, Literal, Union, Optional
 import numcodecs
 from numcodecs.abc import Codec
@@ -62,7 +62,8 @@ def test_array_spec(
         compressor=compressor,
         filters=_filters,
     )
-    array.attrs.put({"foo": [100, 200, 300], "bar": "hello"})
+    attributes = {"foo": [100, 200, 300], "bar": "hello"}
+    array.attrs.put(attributes)
     spec = ArraySpec.from_zarr(array)
 
     assert spec.zarr_version == array._version
@@ -108,6 +109,35 @@ def test_array_spec(
     assert spec.shape == array2.shape
     assert spec.fill_value == array2.fill_value
 
+    # test serialization
+    store = zarr.MemoryStore()
+    stored = spec.to_zarr(store, path="foo")
+    assert ArraySpec.from_zarr(stored) == spec
+
+    # test that to_zarr is idempotent
+    assert spec.to_zarr(store, path="foo") == stored
+
+    # test that to_zarr raises if the extant array is different
+    spec_2 = spec.model_copy(update={"attributes": {"baz": 10}})
+    with pytest.raises(ContainsArrayError):
+        spec_2.to_zarr(store, path="foo")
+
+    # test that we can overwrite the dissimilar array
+    stored_2 = spec_2.to_zarr(store, path="foo", overwrite=True)
+    assert ArraySpec.from_zarr(stored_2) == spec_2
+
+    # test that mode and write_empty_chunks get passed through
+    assert spec_2.to_zarr(store, path="foo", mode="a").read_only is False
+    assert spec_2.to_zarr(store, path="foo", mode="r").read_only is True
+    assert (
+        spec_2.to_zarr(store, path="foo", write_empty_chunks=False)._write_empty_chunks
+        is False
+    )
+    assert (
+        spec_2.to_zarr(store, path="foo", write_empty_chunks=True)._write_empty_chunks
+        is True
+    )
+
 
 @pytest.mark.parametrize("array", (np.arange(10), np.zeros((10, 10), dtype="uint8")))
 def test_array_spec_from_array(array: npt.NDArray[Any]):
@@ -208,9 +238,18 @@ class ArrayAttrs(TypedDict):
     observed = from_zarr(group)
     assert observed == spec
 
-    # check that we can't overwrite the original group
+    # assert that we get the same group twice
+    assert to_zarr(spec, store, "/group_a") == group
+
+    # check that we can't call to_zarr targeting the original group with a different spec
+    spec_2 = spec.model_copy(update={"attributes": RootAttrs(foo=99, bar=[0, 1, 2])})
+    with pytest.raises(ContainsGroupError):
+        _ = to_zarr(spec_2, store, "/group_a")
+
+    # check that we can't call to_zarr with the original spec if the group has changed
+    group.attrs.put({"foo": 100})
     with pytest.raises(ContainsGroupError):
-        group = to_zarr(spec, store, "/group_a")
+        _ = to_zarr(spec, store, "/group_a")
 
     # materialize again with overwrite
     group2 = to_zarr(spec, store, "/group_a", overwrite=True)

From 6ce0ff53e4309f6342bd8f249e1a9e803e7405f9 Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 28 Feb 2024 10:40:15 -0500
Subject: [PATCH 5/6] examples in docs, rename flatten / unflatten to to_flat /
 from_flat

---
 docs/usage_zarr_v2.md   | 184 ++++++++++++++++++++++++++++++++++++++++
 src/pydantic_zarr/v2.py |  85 +++++++++++++------
 tests/test_v2.py        |   8 +-
 3 files changed, 249 insertions(+), 28 deletions(-)

diff --git a/docs/usage_zarr_v2.md b/docs/usage_zarr_v2.md
index dc783db..27532e4 100644
--- a/docs/usage_zarr_v2.md
+++ b/docs/usage_zarr_v2.md
@@ -100,6 +100,190 @@ print(ArraySpec.from_array(np.arange(10)).model_dump())
 }
 """
 ```
+### Flattening and unflattening Zarr hierarchies
+
+In the previous section we built a model of a Zarr hierarchy by defining `GroupSpec` and `ArraySpec`
+instances, then providing those objects as `members` to the constructor of another `GroupSpec`. In
+other words, with this approach we create "child nodes" and give those nodes to the "parent node",
+recursively.
+
+Constructing deeply nested hierarchies this way can be tedious. 
+For this reason, `pydantic-zarr` supports an alternative representation of the Zarr
+hierarchy in the form of a dictionary with `str` keys and `ArraySpec` / `GroupSpec` values, and
+methods to convert to / from these dictionaries.
+
+#### Making a `GroupSpec` object from a flat hierarchy
+
+This example demonstrates how to create a `GroupSpec` from a `dict` representation of a Zarr hierarchy.
+
+```python
+from pydantic_zarr.v2 import GroupSpec, ArraySpec
+# other than the key representing the root path "", 
+# the keys must be valid paths in the Zarr storage hierarchy
+# note that the `members` attribute is `None` for the `GroupSpec` instances in this `dict`.
+tree = {
+    "": GroupSpec(members=None, attributes={"root": True}), 
+    "/a": GroupSpec(members=None, attributes={"root": False}),
+    "/a/b": ArraySpec(shape=(10,10), dtype="uint8", chunks=(1,1))
+    }
+
+print(GroupSpec.from_flat(tree).model_dump())
+"""
+{
+    'zarr_version': 2,
+    'attributes': {'root': True},
+    'members': {
+        'a': {
+            'zarr_version': 2,
+            'attributes': {'root': False},
+            'members': {
+                'b': {
+                    'zarr_version': 2,
+                    'attributes': {},
+                    'shape': (10, 10),
+                    'chunks': (1, 1),
+                    'dtype': '|u1',
+                    'fill_value': 0,
+                    'order': 'C',
+                    'filters': None,
+                    'dimension_separator': '/',
+                    'compressor': None,
+                }
+            },
+        }
+    },
+}
+"""
+```
+
+#### flattening `GroupSpec` objects
+
+This is similar to the example above, except that we are working in reverse -- we are making the 
+flat `dict` from the `GroupSpec` object.
+
+```python
+from pydantic_zarr.v2 import GroupSpec, ArraySpec
+# other than the key representing the root path "", 
+# the keys must be valid paths in the Zarr storage hierarchy
+# note that the `members` attribute is `None` for the `GroupSpec` instances in this `dict`.
+
+a_b = ArraySpec(shape=(10,10), dtype="uint8", chunks=(1,1))
+a = GroupSpec(members={'b': a_b}, attributes={"root": False})
+root = GroupSpec(members={'a': a}, attributes={"root": True})
+
+print(root.to_flat())
+"""
+{
+    '': GroupSpec(zarr_version=2, attributes={'root': True}, members=None),
+    '/a': GroupSpec(zarr_version=2, attributes={'root': False}, members=None),
+    '/a/b': ArraySpec(
+        zarr_version=2,
+        attributes={},
+        shape=(10, 10),
+        chunks=(1, 1),
+        dtype='|u1',
+        fill_value=0,
+        order='C',
+        filters=None,
+        dimension_separator='/',
+        compressor=None,
+    ),
+}
+"""
+```
+
+#### Implicit groups
+`zarr-python` supports creating Zarr arrays or groups deep in the 
+hierarchy without explicitly creating the intermediate groups first. 
+`from_flat` models this behavior. For example, `{'/a/b/c': ArraySpec(...)}` implicitly defines the existence of a groups named `a` and `b` (which is contained in `a`). `from_flat` will create the expected `GroupSpec` object from such `dict` instances. 
+
+```python
+from pydantic_zarr.v2 import GroupSpec, ArraySpec
+tree = {'/a/b/c': ArraySpec(shape=(1,), dtype='uint8', chunks=(1,))}
+print(GroupSpec.from_flat(tree).model_dump())
+"""
+{
+    'zarr_version': 2,
+    'attributes': {},
+    'members': {
+        'a': {
+            'zarr_version': 2,
+            'attributes': {},
+            'members': {
+                'b': {
+                    'zarr_version': 2,
+                    'attributes': {},
+                    'members': {
+                        'c': {
+                            'zarr_version': 2,
+                            'attributes': {},
+                            'shape': (1,),
+                            'chunks': (1,),
+                            'dtype': '|u1',
+                            'fill_value': 0,
+                            'order': 'C',
+                            'filters': None,
+                            'dimension_separator': '/',
+                            'compressor': None,
+                        }
+                    },
+                }
+            },
+        }
+    },
+}
+"""
+```
+
+## Comparing `GroupSpec` and `ArraySpec` models
+
+`GroupSpec` and `ArraySpec` both have `like` methods that take another `GroupSpec` or `ArraySpec` as an argument and return `True` (the models are like each other) or `False` (the models are not like each other). 
+
+The `like` method works by converting both input models to `dict` via `pydantic.BaseModel.model_dump`, and comparing the `dict` representation of the models. This means that instances of two different subclasses of `GroupSpec`, which would not be considered equal according to the `==` operator, will be considered `like` if and only if they serialize to identical `dict` instances.
+
+The `like` method also takes keyword arguments `include` and `exclude`, which results in attributes being explicitly included or excluded from the model comparison. So it's possible to use `like` to check if two `ArraySpec` instances have the same `shape` and `dtype` by calling `array_a.like(array_b, include={'shape', 'dtype'})`. This is useful if you don't care about the compressor or filters and just want to ensure that you can safely write an in-memory array to a Zarr array.
+
+```python
+from pydantic_zarr.v2 import ArraySpec, GroupSpec
+import zarr
+arr_a = ArraySpec(shape=(1,), dtype='uint8', chunks=(1,))
+arr_b = ArraySpec(shape=(2,), dtype='uint8', chunks=(1,)) # array with different shape
+
+print(arr_a.like(arr_b)) # False, because of mismatched shape
+#> False
+
+print(arr_a.like(arr_b, exclude={'shape'})) # True, because we exclude shape.
+#> True
+
+# `ArraySpec.like` will convert a zarr.Array to ArraySpec
+store = zarr.MemoryStore()
+arr_a_stored = arr_a.to_zarr(store, path='arr_a') # this is a zarr.Array
+
+print(arr_a.like(arr_a_stored)) # arr_a is like the zarr.Array version of itself
+#> True
+
+print(arr_b.like(arr_a_stored)) # False, because of mismatched shape
+#> False
+
+print(arr_b.like(arr_a_stored, exclude={'shape'})) # True, because we exclude shape.
+#> True
+
+# the same thing thing for groups
+g_a = GroupSpec(attributes={'foo': 10}, members={'a': arr_a, 'b': arr_b})
+g_b = GroupSpec(attributes={'foo': 11}, members={'a': arr_a, 'b': arr_b})
+
+print(g_a.like(g_a)) # g_a is like itself
+#> True
+
+print(g_a.like(g_b)) # False, because of mismatched attributes
+#> False
+
+print(g_a.like(g_b, exclude={'attributes'})) # True, because we ignore attributes
+#> True
+
+print(g_a.like(g_a.to_zarr(store, path='g_a'))) # g_a is like its zarr.Group counterpart
+#> True
+```
 
 ## Using generic types
 
diff --git a/src/pydantic_zarr/v2.py b/src/pydantic_zarr/v2.py
index 4d35f56..b78e80c 100644
--- a/src/pydantic_zarr/v2.py
+++ b/src/pydantic_zarr/v2.py
@@ -571,11 +571,47 @@ def like(
         result = model_like(self, other_parsed, include=include, exclude=exclude)
         return result
 
+    def to_flat(self, root_path: str = ""):
+        """
+        Flatten this `GroupSpec`.
+        This method returns a `dict` with string keys and values that are `GroupSpec` or
+        `ArraySpec`.
+
+        Then the resulting `dict` will contain a copy of the input with a null `members` attribute
+        under the key `root_path`, as well as copies of the result of calling `node.to_flat` on each
+        element of `node.members`, each under a key created by joining `root_path` with a '/`
+        character to the name of each member, and so on recursively for each sub-member.
+
+        Parameters
+        ---------
+        root_path: `str`, default = ''.
+            The root path. The keys in `self.members` will be
+            made relative to `root_path` when used as keys in the result dictionary.
+
+        Returns
+        -------
+        Dict[str, ArraySpec | GroupSpec]
+            A flattened representation of the hierarchy.
+
+        Examples
+        --------
+
+        >>> from pydantic_zarr.v2 import to_flat, GroupSpec
+        >>> g1 = GroupSpec(members=None, attributes={'foo': 'bar'})
+        >>> to_flat(g1)
+        {'': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
+        >>> to_flat(g1 root_path='baz')
+        {'baz': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
+        >>> to_flat(GroupSpec(members={'g1': g1}, attributes={'foo': 'bar'}))
+        {'/g1': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None), '': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
+        """
+        return to_flat(self, root_path=root_path)
+
     @classmethod
     def from_flat(cls, data: Dict[str, ArraySpec | GroupSpec]):
         """
         Create a `GroupSpec` from a flat hierarchy representation. The flattened hierarchy is a
-        `dict` with the following constraints. Keys must be valid paths; values must
+        `dict` with the following constraints: keys must be valid paths; values must
         be `ArraySpec` or `GroupSpec` instances.
 
         Parameters
@@ -601,8 +637,8 @@ def from_flat(cls, data: Dict[str, ArraySpec | GroupSpec]):
         >>> GroupSpec.from_flat(flat)
         GroupSpec(zarr_version=2, attributes={'foo': 10}, members={'a': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
         """
-        unflattened = unflatten_group(data)
-        return cls(**unflattened.model_dump())
+        from_flated = from_flat_group(data)
+        return cls(**from_flated.model_dump())
 
 
 @overload
@@ -714,12 +750,12 @@ def to_zarr(
     return result
 
 
-def flatten(
+def to_flat(
     node: ArraySpec | GroupSpec, root_path: str = ""
 ) -> Dict[str, ArraySpec | GroupSpec]:
     """
     Flatten a `GroupSpec` or `ArraySpec`.
-    Takes a `GroupSpec` or `ArraySpec` and a string, and returns a `dict` with string keys and
+    Converts a `GroupSpec` or `ArraySpec` and a string, into a `dict` with string keys and
     values that are `GroupSpec` or `ArraySpec`.
 
     If the input is an `ArraySpec`, then this function just returns the dict `{root_path: node}`.
@@ -735,8 +771,8 @@ def flatten(
     node: `GroupSpec` | `ArraySpec`
         The node to flatten.
     root_path: `str`, default = ''.
-        The root path. If the input is a `GroupSpec`, then the keys in `GroupSpec.members` will be
-        made relative to `path` when used as keys in the result dictionary.
+        The root path. If `node` is a `GroupSpec`, then the keys in `node.members` will be
+        made relative to `root_path` when used as keys in the result dictionary.
 
     Returns
     -------
@@ -748,11 +784,11 @@ def flatten(
 
     >>> from pydantic_zarr.v2 import flatten, GroupSpec
     >>> g1 = GroupSpec(members=None, attributes={'foo': 'bar'})
-    >>> flatten(g1)
+    >>> to_flat(g1)
     {'': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
-    >>> flatten(g1 root_path='baz')
+    >>> to_flat(g1 root_path='baz')
     {'baz': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
-    >>> flatten(GroupSpec(members={'g1': g1}, attributes={'foo': 'bar'}))
+    >>> to_flat(GroupSpec(members={'g1': g1}, attributes={'foo': 'bar'}))
     {'/g1': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None), '': GroupSpec(zarr_version=2, attributes={'foo': 'bar'}, members=None)}
     """
     result = {}
@@ -763,16 +799,17 @@ def flatten(
         model_copy = node.model_copy(deep=True, update={"members": None})
         if node.members is not None:
             for name, value in node.members.items():
-                result.update(flatten(value, "/".join([root_path, name])))
+                result.update(to_flat(value, "/".join([root_path, name])))
 
     result[root_path] = model_copy
-
-    return result
+    # sort by increasing key length
+    result_sorted_keys = dict(sorted(result.items(), key=lambda v: len(v[0])))
+    return result_sorted_keys
 
 
-def unflatten(data: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
+def from_flat(data: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
     """
-    Wraps `unflatten_group`, handling the special case where a Zarr array is defined at the root of
+    Wraps `from_flat_group`, handling the special case where a Zarr array is defined at the root of
     a hierarchy and thus is not contained by a Zarr group.
 
     Parameters
@@ -789,13 +826,13 @@ def unflatten(data: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
 
     Examples
     --------
-    >>> from pydantic_zarr.v2 import unflatten, GroupSpec, ArraySpec
+    >>> from pydantic_zarr.v2 import from_flat, GroupSpec, ArraySpec
     >>> import numpy as np
     >>> tree = {'': ArraySpec.from_array(np.arange(10))}
-    >>> unflatten(tree) # special case of a Zarr array at the root of the hierarchy
+    >>> from_flat(tree) # special case of a Zarr array at the root of the hierarchy
     ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)
     >>> tree = {'/foo': ArraySpec.from_array(np.arange(10))}
-    >>> unflatten(tree) # note that an implicit Group is created
+    >>> from_flat(tree) # note that an implicit Group is created
     GroupSpec(zarr_version=2, attributes={}, members={'foo': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
     """
 
@@ -811,10 +848,10 @@ def unflatten(data: Dict[str, ArraySpec | GroupSpec]) -> ArraySpec | GroupSpec:
     if tuple(data.keys()) == ("",) and isinstance(tuple(data.values())[0], ArraySpec):
         return tuple(data.values())[0]
     else:
-        return unflatten_group(data)
+        return from_flat_group(data)
 
 
-def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
+def from_flat_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
     """
     Generate a `GroupSpec` from a flat representation of a hierarchy, i.e. a `dict` with
     string keys (paths) and `ArraySpec` / `GroupSpec` values (nodes).
@@ -831,10 +868,10 @@ def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
 
     Examples
     --------
-    >>> from pydantic_zarr.v2 import unflatten_group, GroupSpec, ArraySpec
+    >>> from pydantic_zarr.v2 import from_flat_group, GroupSpec, ArraySpec
     >>> import numpy as np
     >>> tree = {'/foo': ArraySpec.from_array(np.arange(10))}
-    >>> unflatten_group(tree) # note that an implicit Group is created
+    >>> from_flat_group(tree) # note that an implicit Group is created
     GroupSpec(zarr_version=2, attributes={}, members={'foo': ArraySpec(zarr_version=2, attributes={}, shape=(10,), chunks=(10,), dtype='<i8', fill_value=0, order='C', filters=None, dimension_separator='/', compressor=None)})
     """
     root_name = ""
@@ -842,7 +879,7 @@ def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
     # arrays that will be members of the returned GroupSpec
     member_arrays: Dict[str, ArraySpec] = {}
     # groups, and their members, that will be members of the returned GroupSpec.
-    # this dict is populated by recursively applying `unflatten_group` function.
+    # this dict is populated by recursively applying `from_flat_group` function.
     member_groups: Dict[str, GroupSpec] = {}
     # this dict collects the arrayspecs and groupspecs that belong to one of the members of the
     # groupspecs we are constructing. They will later be aggregated in a recursive step that
@@ -888,7 +925,7 @@ def unflatten_group(data: Dict[str, ArraySpec | GroupSpec]) -> GroupSpec:
 
     # recurse
     for subparent_name, submemb in submember_by_parent_name.items():
-        member_groups[subparent_name] = unflatten_group(submemb)
+        member_groups[subparent_name] = from_flat_group(submemb)
 
     return GroupSpec(
         members={**member_groups, **member_arrays}, attributes=root_node.attributes
diff --git a/tests/test_v2.py b/tests/test_v2.py
index 8e56c09..cf52cc3 100644
--- a/tests/test_v2.py
+++ b/tests/test_v2.py
@@ -8,10 +8,10 @@
 from pydantic_zarr.v2 import (
     ArraySpec,
     GroupSpec,
-    flatten,
+    to_flat,
     to_zarr,
     from_zarr,
-    unflatten,
+    from_flat,
 )
 import numpy as np
 import numpy.typing as npt
@@ -419,9 +419,9 @@ def test_member_name(data: str):
     ],
 )
 def test_flatten_unflatten(data, expected) -> None:
-    flattened = flatten(data)
+    flattened = to_flat(data)
     assert flattened == expected
-    assert unflatten(flattened) == data
+    assert from_flat(flattened) == data
 
 
 # todo: parametrize

From 9fa6b6196a124dfdc6347aa4465056c9c3e0f7ef Mon Sep 17 00:00:00 2001
From: Davis Vann Bennett <davis.v.bennett@gmail.com>
Date: Wed, 28 Feb 2024 11:28:45 -0500
Subject: [PATCH 6/6] add rough testing workflow to gha

---
 .github/workflows/test.yml | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
 create mode 100644 .github/workflows/test.yml

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
new file mode 100644
index 0000000..04d4084
--- /dev/null
+++ b/.github/workflows/test.yml
@@ -0,0 +1,24 @@
+name: Linux Testing
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.10', '3.11', '3.12']
+    steps:
+    - uses: actions/checkout@v4
+    - name: Install dependencies
+      shell: "bash -l {0}"
+      run: |
+        pip install poetry
+        poetry install
+    - name: Test
+      run: |
+        poetry run pytest
\ No newline at end of file