diff --git a/conda_forge_tick/migrators/version.py b/conda_forge_tick/migrators/version.py
index e92c46d30..60f4c3bcf 100644
--- a/conda_forge_tick/migrators/version.py
+++ b/conda_forge_tick/migrators/version.py
@@ -1,23 +1,23 @@
 import copy
 import functools
 import logging
-import os
 import random
 import secrets
 import typing
 import warnings
+from pathlib import Path
 from typing import Any, List, Sequence
 
 import conda.exceptions
 import networkx as nx
 from conda.models.version import VersionOrder
+from rattler_build_conda_compat.loader import load_yaml
 
 from conda_forge_tick.contexts import ClonedFeedstockContext, FeedstockContext
 from conda_forge_tick.migrators.core import Migrator
 from conda_forge_tick.models.pr_info import MigratorName
-from conda_forge_tick.os_utils import pushd
 from conda_forge_tick.update_deps import get_dep_updates_and_hints
-from conda_forge_tick.update_recipe import update_version
+from conda_forge_tick.update_recipe import update_version, update_version_v1
 from conda_forge_tick.utils import get_keys_default, sanitize_string
 
 if typing.TYPE_CHECKING:
@@ -62,6 +62,7 @@ class Version(Migrator):
     migrator_version = 0
     rerender = True
     name = MigratorName.VERSION
+    allowed_schema_versions = {0, 1}
 
     def __init__(self, python_nodes, *args, **kwargs):
         if not hasattr(self, "_init_args"):
@@ -93,11 +94,33 @@ def filter(
         self._new_version = new_version
 
         # if no jinja2 version, then move on
-        if "raw_meta_yaml" in attrs and "{% set version" not in attrs["raw_meta_yaml"]:
-            return True
 
-        conditional = super().filter(attrs)
+        schema_version = get_keys_default(
+            attrs,
+            ["meta_yaml", "schema_version"],
+            {},
+            0,
+        )
+        if schema_version == 0:
+            if "raw_meta_yaml" not in attrs:
+                return True
+            if "{% set version" not in attrs["raw_meta_yaml"]:
+                return True
+        elif schema_version == 1:
+            # load yaml and check if context is there
+            if "raw_meta_yaml" not in attrs:
+                return True
+
+            yaml = load_yaml(attrs["raw_meta_yaml"])
+            if "context" not in yaml:
+                return True
+
+            if "version" not in yaml["context"]:
+                return True
+        else:
+            raise NotImplementedError("Schema version not implemented!")
 
+        conditional = super().filter(attrs)
         result = bool(
             conditional  # if archived/finished/schema version skip
             or len(
@@ -197,21 +220,34 @@ def migrate(
         **kwargs: Any,
     ) -> "MigrationUidTypedDict":
         version = attrs["new_version"]
-
-        with open(os.path.join(recipe_dir, "meta.yaml")) as fp:
-            raw_meta_yaml = fp.read()
-
-        updated_meta_yaml, errors = update_version(
-            raw_meta_yaml,
-            version,
-            hash_type=hash_type,
-        )
+        recipe_dir = Path(recipe_dir)
+        recipe_path = None
+        recipe_path_v0 = recipe_dir / "meta.yaml"
+        recipe_path_v1 = recipe_dir / "recipe.yaml"
+        if recipe_path_v0.exists():
+            raw_meta_yaml = recipe_path_v0.read_text()
+            recipe_path = recipe_path_v0
+            updated_meta_yaml, errors = update_version(
+                raw_meta_yaml,
+                version,
+                hash_type=hash_type,
+            )
+        elif recipe_path_v1.exists():
+            recipe_path = recipe_path_v1
+            updated_meta_yaml, errors = update_version_v1(
+                # we need to give the "feedstock_dir" (not recipe dir)
+                recipe_dir.parent,
+                version,
+                hash_type=hash_type,
+            )
+        else:
+            raise FileNotFoundError(
+                f"Neither {recipe_path_v0} nor {recipe_path_v1} exists in {recipe_dir}",
+            )
 
         if len(errors) == 0 and updated_meta_yaml is not None:
-            with pushd(recipe_dir):
-                with open("meta.yaml", "w") as fp:
-                    fp.write(updated_meta_yaml)
-                self.set_build_number("meta.yaml")
+            recipe_path.write_text(updated_meta_yaml)
+            self.set_build_number(recipe_path)
 
             return super().migrate(recipe_dir, attrs)
         else:
diff --git a/conda_forge_tick/update_recipe/__init__.py b/conda_forge_tick/update_recipe/__init__.py
index e2deb50c1..91ddbf0e4 100644
--- a/conda_forge_tick/update_recipe/__init__.py
+++ b/conda_forge_tick/update_recipe/__init__.py
@@ -1,2 +1,2 @@
 from .build_number import DEFAULT_BUILD_PATTERNS, update_build_number  # noqa
-from .version import update_version  # noqa
+from .version import update_version, update_version_v1  # noqa
diff --git a/conda_forge_tick/update_recipe/version.py b/conda_forge_tick/update_recipe/version.py
index 1a58fad73..8b65fc988 100644
--- a/conda_forge_tick/update_recipe/version.py
+++ b/conda_forge_tick/update_recipe/version.py
@@ -9,6 +9,7 @@
 import shutil
 import tempfile
 import traceback
+from pathlib import Path
 from typing import Any, MutableMapping
 
 import jinja2
@@ -116,7 +117,7 @@ def _compile_all_selectors(cmeta: Any, src: str):
     return set(selectors)
 
 
-def _try_url_and_hash_it(url: str, hash_type: str):
+def _try_url_and_hash_it(url: str, hash_type: str) -> str | None:
     logger.debug("downloading url: %s", url)
 
     try:
@@ -134,14 +135,40 @@ def _try_url_and_hash_it(url: str, hash_type: str):
 
 
 def _render_jinja2(tmpl, context):
-    return (
-        jinja2.sandbox.SandboxedEnvironment(undefined=jinja2.StrictUndefined)
-        .from_string(tmpl)
-        .render(**context)
-    )
+    env = jinja2.sandbox.SandboxedEnvironment(undefined=jinja2.StrictUndefined)
+
+    # We need to add the split filter to support v1 recipes
+    def split_filter(value, sep):
+        return value.split(sep)
+
+    env.filters["split"] = split_filter
+
+    return env.from_string(tmpl).render(**context)
 
 
 def _try_pypi_api(url_tmpl: str, context: MutableMapping, hash_type: str, cmeta: Any):
+    """
+    Try to get a new version from the PyPI API. The returned URL might use a different
+    format (host) than the original URL template, e.g. `https://files.pythonhosted.org/`
+    instead of `https://pypi.io/`.
+
+    Parameters
+    ----------
+    url_tmpl : str
+        The URL template to try to update.
+    context : dict
+        The context to render the URL template.
+    hash_type : str
+        The hash type to use.
+
+    Returns
+    -------
+    new_url_tmpl : str or None
+        The new URL template if found.
+    new_hash : str or None
+        The new hash if found.
+    """
+
     if "version" not in context:
         return None, None
 
@@ -152,20 +179,36 @@ def _try_pypi_api(url_tmpl: str, context: MutableMapping, hash_type: str, cmeta:
         return None, None
 
     orig_pypi_name = None
-    orig_pypi_name_candidates = [
-        url_tmpl.split("/")[-2],
-        context.get("name", None),
-        (cmeta.meta.get("package", {}) or {}).get("name", None),
-    ]
-    if "outputs" in cmeta.meta:
-        for output in cmeta.meta["outputs"]:
-            output = output or {}
-            orig_pypi_name_candidates.append(output.get("name", None))
+
+    # this is a v0 recipe
+    if hasattr(cmeta, "meta"):
+        orig_pypi_name_candidates = [
+            url_tmpl.split("/")[-2],
+            context.get("name", None),
+            (cmeta.meta.get("package", {}) or {}).get("name", None),
+        ]
+        if "outputs" in cmeta.meta:
+            for output in cmeta.meta["outputs"]:
+                output = output or {}
+                orig_pypi_name_candidates.append(output.get("name", None))
+    else:
+        # this is a v1 recipe
+        orig_pypi_name_candidates = [
+            url_tmpl.split("/")[-2],
+            context.get("name", None),
+            cmeta.get("package", {}).get("name", None),
+        ]
+        # for v1 recipe compatibility
+        if "outputs" in cmeta:
+            if package_name := output.get("package", {}).get("name", None):
+                orig_pypi_name_candidates.append(package_name)
+
     orig_pypi_name_candidates = sorted(
         {nc for nc in orig_pypi_name_candidates if nc is not None and len(nc) > 0},
         key=lambda x: len(x),
     )
     logger.info("PyPI name candidates: %s", orig_pypi_name_candidates)
+
     for _orig_pypi_name in orig_pypi_name_candidates:
         if _orig_pypi_name is None:
             continue
@@ -219,11 +262,11 @@ def _try_pypi_api(url_tmpl: str, context: MutableMapping, hash_type: str, cmeta:
     if "name" in context:
         for tmpl in [
             "{{ name }}",
-            "{{ name.lower() }}",
-            "{{ name.replace('-', '_') }}",
-            "{{ name.replace('_', '-') }}",
-            "{{ name.replace('-', '_').lower() }}",
-            "{{ name.replace('_', '-').lower() }}",
+            "{{ name | lower }}",
+            "{{ name | replace('-', '_') }}",
+            "{{ name | replace('_', '-') }}",
+            "{{ name | replace('-', '_') | lower }}",
+            "{{ name | replace('_', '-') | lower }}",
         ]:
             if pypi_name == _render_jinja2(tmpl, context) + "-":
                 name_tmpl = tmpl
@@ -557,15 +600,27 @@ def update_version_feedstock_dir(
         )
 
 
-def _update_version_feedstock_dir_local(feedstock_dir, version, hash_type):
-    with open(os.path.join(feedstock_dir, "recipe", "meta.yaml")) as f:
-        raw_meta_yaml = f.read()
-    updated_meta_yaml, errors = update_version(
-        raw_meta_yaml, version, hash_type=hash_type
-    )
+def _update_version_feedstock_dir_local(
+    feedstock_dir, version, hash_type
+) -> (bool, set):
+    feedstock_path = Path(feedstock_dir)
+
+    recipe_path = None
+    recipe_path_v0 = feedstock_path / "recipe" / "meta.yaml"
+    recipe_path_v1 = feedstock_path / "recipe" / "recipe.yaml"
+    if recipe_path_v0.exists():
+        recipe_path = recipe_path_v0
+        updated_meta_yaml, errors = update_version(
+            recipe_path_v0.read_text(), version, hash_type=hash_type
+        )
+    elif recipe_path_v1.exists():
+        recipe_path = recipe_path_v1
+        updated_meta_yaml, errors = update_version_v1(feedstock_dir, version, hash_type)
+    else:
+        return False, {"no recipe found"}
+
     if updated_meta_yaml is not None:
-        with open(os.path.join(feedstock_dir, "recipe", "meta.yaml"), "w") as f:
-            f.write(updated_meta_yaml)
+        recipe_path.write_text(updated_meta_yaml)
 
     return updated_meta_yaml is not None, errors
 
@@ -625,9 +680,111 @@ def _update_version_feedstock_dir_containerized(feedstock_dir, version, hash_typ
     return data["updated"], data["errors"]
 
 
-def update_version(raw_meta_yaml, version, hash_type="sha256"):
+def update_version_v1(
+    feedstock_dir: str, version: str, hash_type: str
+) -> (str | None, set[str]):
     """Update the version in a recipe.
 
+    Parameters
+    ----------
+    feedstock_dir : str
+        The feedstock directory to update.
+    version : str
+        The new version of the recipe.
+    hash_type : str
+        The kind of hash used on the source.
+
+    Returns
+    -------
+    recipe_text : str or None
+        The text of the updated recipe.yaml. Will be None if there is an error.
+    errors : set of str
+    """
+    # extract all the URL sources from a given recipe / feedstock directory
+    from rattler_build_conda_compat.loader import load_yaml
+    from rattler_build_conda_compat.recipe_sources import render_all_sources
+
+    feedstock_dir = Path(feedstock_dir)
+    recipe_path = feedstock_dir / "recipe" / "recipe.yaml"
+    recipe_text = recipe_path.read_text()
+    recipe_yaml = load_yaml(recipe_text)
+    variants = feedstock_dir.glob(".ci_support/*.yaml")
+    # load all variants
+    variants = [load_yaml(variant.read_text()) for variant in variants]
+    if not len(variants):
+        # if there are no variants, then we need to add an empty one
+        variants = [{}]
+
+    rendered_sources = render_all_sources(
+        recipe_yaml, variants, override_version=version
+    )
+
+    # mangle the version if it is R
+    for source in rendered_sources:
+        if isinstance(source.template, list):
+            if any([_is_r_url(t) for t in source.template]):
+                version = version.replace("_", "-")
+        else:
+            if _is_r_url(source.template):
+                version = version.replace("_", "-")
+
+    # update the version with a regex replace
+    for line in recipe_text.splitlines():
+        if match := re.match(r"^(\s+)version:\s.*$", line):
+            indentation = match.group(1)
+            recipe_text = recipe_text.replace(
+                line, f'{indentation}version: "{version}"'
+            )
+            break
+
+    for source in rendered_sources:
+        # update the hash value
+        urls = source.url
+        # zip url and template
+        if not isinstance(urls, list):
+            urls = zip([urls], [source.template])
+        else:
+            urls = zip(urls, source.template)
+
+        found_hash = False
+        for url, template in urls:
+            if source.sha256 is not None:
+                hash_type = "sha256"
+            elif source.md5 is not None:
+                hash_type = "md5"
+
+            # convert to regular jinja2 template
+            cb_template = template.replace("${{", "{{")
+            new_tmpl, new_hash = _get_new_url_tmpl_and_hash(
+                cb_template,
+                source.context,
+                hash_type,
+                recipe_yaml,
+            )
+
+            if new_hash is not None:
+                if hash_type == "sha256":
+                    recipe_text = recipe_text.replace(source.sha256, new_hash)
+                else:
+                    recipe_text = recipe_text.replace(source.md5, new_hash)
+                found_hash = True
+
+                # convert back to v1 minijinja template
+                new_tmpl = new_tmpl.replace("{{", "${{")
+                if new_tmpl != template:
+                    recipe_text = recipe_text.replace(template, new_tmpl)
+
+                break
+
+        if not found_hash:
+            return None, {"could not find a hash for the source"}
+
+    return recipe_text, set()
+
+
+def update_version(raw_meta_yaml, version, hash_type="sha256") -> (str, set[str]):
+    """Update the version in a v0 recipe.
+
     Parameters
     ----------
     raw_meta_yaml : str
diff --git a/tests/test_migrators.py b/tests/test_migrators.py
index 0540a47ba..531071366 100644
--- a/tests/test_migrators.py
+++ b/tests/test_migrators.py
@@ -17,7 +17,11 @@
 )
 from conda_forge_tick.migrators.migration_yaml import all_noarch
 from conda_forge_tick.os_utils import pushd
-from conda_forge_tick.utils import frozen_to_json_friendly, parse_meta_yaml
+from conda_forge_tick.utils import (
+    frozen_to_json_friendly,
+    parse_meta_yaml,
+    parse_recipe_yaml,
+)
 
 sample_yaml_rebuild = """
 {% set version = "1.3.2" %}
@@ -466,35 +470,68 @@ def run_test_migration(
     tmpdir: str,
     should_filter: bool = False,
     make_body: bool = False,
+    recipe_version: int = 0,
 ):
+    tmpdir_p = Path(tmpdir)
     if mr_out:
         mr_out.update(bot_rerun=False)
 
-    Path(tmpdir).joinpath("meta.yaml").write_text(inp)
+    if recipe_version == 0:
+        tmpdir_p.joinpath("meta.yaml").write_text(inp)
+        recipe_dir = str(tmpdir_p)
+    elif recipe_version == 1:
+        tmpdir_p.joinpath(".ci_support").mkdir()
+        tmpdir_p.joinpath("recipe").mkdir()
+        tmpdir_p.joinpath("recipe", "recipe.yaml").write_text(inp)
+        for target_platform in ("linux-64", "osx-arm64", "win-64"):
+            (
+                tmpdir_p / ".ci_support" / f"{target_platform.replace('-', '_')}_.yaml"
+            ).write_text("target_platform:\n" f"- {target_platform}\n")
+
+        recipe_dir = str(tmpdir_p / "recipe")
+    else:
+        raise ValueError(f"Unsupported recipe version: {recipe_version}")
 
     # read the conda-forge.yml
     cf_yml_path = Path(tmpdir).parent / "conda-forge.yml"
     cf_yml = cf_yml_path.read_text() if cf_yml_path.exists() else "{}"
 
     # Load the meta.yaml (this is done in the graph)
-    try:
-        name = parse_meta_yaml(inp)["package"]["name"]
-    except Exception:
-        name = "blah"
+    if recipe_version == 0:
+        try:
+            name = parse_meta_yaml(inp)["package"]["name"]
+        except Exception:
+            name = "blah"
 
-    pmy = populate_feedstock_attributes(
-        name, sub_graph={}, meta_yaml=inp, conda_forge_yaml=cf_yml
-    )
+        pmy = populate_feedstock_attributes(
+            name, sub_graph={}, meta_yaml=inp, conda_forge_yaml=cf_yml
+        )
 
-    # these are here for legacy migrators
-    pmy["version"] = pmy["meta_yaml"]["package"]["version"]
-    pmy["req"] = set()
-    for k in ["build", "host", "run"]:
-        req = pmy["meta_yaml"].get("requirements", {}) or {}
-        _set = req.get(k) or set()
-        pmy["req"] |= set(_set)
-    pmy["raw_meta_yaml"] = inp
-    pmy.update(kwargs)
+        # these are here for legacy migrators
+        pmy["version"] = pmy["meta_yaml"]["package"]["version"]
+        pmy["req"] = set()
+        for k in ["build", "host", "run"]:
+            req = pmy["meta_yaml"].get("requirements", {}) or {}
+            _set = req.get(k) or set()
+            pmy["req"] |= set(_set)
+        pmy["raw_meta_yaml"] = inp
+        pmy.update(kwargs)
+    else:
+        try:
+            name = parse_recipe_yaml(inp)["package"]["name"]
+        except Exception:
+            name = "blah"
+
+        pmy = populate_feedstock_attributes(
+            name,
+            sub_graph={},
+            recipe_yaml=inp,
+            conda_forge_yaml=cf_yml,
+            feedstock_dir=tmpdir_p,
+        )
+        pmy["version"] = pmy["meta_yaml"]["package"]["version"]
+        pmy["raw_meta_yaml"] = inp
+        pmy.update(kwargs)
 
     try:
         if "new_version" in kwargs:
@@ -506,13 +543,13 @@ def run_test_migration(
         return pmy
 
     m.run_pre_piggyback_migrations(
-        tmpdir,
+        recipe_dir,
         pmy,
         hash_type=pmy.get("hash_type", "sha256"),
     )
-    mr = m.migrate(tmpdir, pmy, hash_type=pmy.get("hash_type", "sha256"))
+    mr = m.migrate(recipe_dir, pmy, hash_type=pmy.get("hash_type", "sha256"))
     m.run_post_piggyback_migrations(
-        tmpdir,
+        recipe_dir,
         pmy,
         hash_type=pmy.get("hash_type", "sha256"),
     )
@@ -533,12 +570,15 @@ def run_test_migration(
 
     pmy["pr_info"] = {}
     pmy["pr_info"].update(PRed=[frozen_to_json_friendly(mr)])
-    with open(os.path.join(tmpdir, "meta.yaml")) as f:
-        actual_output = f.read()
+    if recipe_version == 0:
+        actual_output = tmpdir_p.joinpath("meta.yaml").read_text()
+    else:
+        actual_output = tmpdir_p.joinpath("recipe/recipe.yaml").read_text()
     # strip jinja comments
     pat = re.compile(r"{#.*#}")
     actual_output = pat.sub("", actual_output)
     output = pat.sub("", output)
+
     assert actual_output == output
     # TODO: fix subgraph here (need this to be xsh file)
     if isinstance(m, Version):
diff --git a/tests/test_v1_yaml/version_build_as_expr.yaml b/tests/test_v1_yaml/version_build_as_expr.yaml
new file mode 100644
index 000000000..6e4f236ab
--- /dev/null
+++ b/tests/test_v1_yaml/version_build_as_expr.yaml
@@ -0,0 +1,138 @@
+context:
+  name: oneDNN
+  version: 3.6.1
+  build: 1
+  variant_build: ${{ variant_build_base | int + 100 if dnnl_cpu_runtime == "omp" else build_base }}
+  desc_omp: In this package oneDNN is built with the OpenMP CPU runtime.
+  desc_tbb: In this package oneDNN is built with the TBB CPU runtime.
+  desc_threadpool: |
+    In this package oneDNN is built with the Threadpool CPU runtime.
+    oneDNN requires the user to implement a Threadpool interface to enable
+    the library to perform computations using multiple threads.
+  desc_dpcpp: In this package oneDNN is built with the DPC++ CPU and GPU runtimes.
+
+recipe:
+  name: onednn-split
+  version: ${{ version }}
+
+source:
+  url: https://github.com/oneapi-src/${{ name }}/archive/v${{ version }}.tar.gz
+  sha256: a370e7f25dbf05c9c151878c53556f27d0cbe7a4f909747db6e4b2d245f533cb
+
+build:
+  number: ${{ variant_build }}
+
+outputs:
+  - package:
+      name: onednn
+      version: ${{ version }}
+    build:
+      string: ${{ dnnl_cpu_runtime }}_h${{ hash }}_${{ variant_build }}
+      script: build-onednn
+    requirements:
+      build:
+        - cmake
+        - ninja
+        - ${{ compiler('c') }}
+        - ${{ compiler('cxx') }}
+        - if: dnnl_cpu_runtime == "dpcpp"
+          then: ${{ compiler('dpcpp') }}
+        - ${{ stdlib("c") }}
+        - if: osx
+          then: llvm-openmp
+      host:
+        - if: dnnl_cpu_runtime in ("tbb", "dpcpp")
+          then: tbb-devel
+      run_exports:
+        - ${{ pin_subpackage("onednn", upper_bound="x") }}
+    tests:
+      - script:
+          - if: unix
+            then:
+              - test -f ${PREFIX}/lib/libdnnl${SHLIB_EXT}
+              - test -f ${PREFIX}/include/oneapi/dnnl/dnnl.h
+          - if: win
+            then:
+              - if not exist %LIBRARY_PREFIX%\\bin\\dnnl.dll exit 1
+              - if not exist %LIBRARY_PREFIX%\\lib\\dnnl.lib exit 1
+              - if not exist %LIBRARY_PREFIX%\\include\\dnnl.h exit 1
+    about:
+      license: Apache-2.0
+      license_file:
+        - THIRD-PARTY-PROGRAMS
+        - LICENSE
+      summary: oneAPI Deep Neural Network Library (oneDNN)
+      description: |
+        oneAPI Deep Neural Network Library (oneDNN) is an open-source
+        cross-platform performance library of basic building blocks for deep
+        learning applications.
+
+        oneDNN is intended for deep learning applications and framework
+        developers interested in improving application performance.
+        Deep learning practitioners should use one of the applications
+        enabled with oneDNN.
+
+        ${{
+          desc_omp if dnnl_cpu_runtime == "omp" else
+          desc_tbb if dnnl_cpu_runtime == "tbb" else
+          desc_threadpool if dnnl_cpu_runtime == "threadpool" else
+          desc_dpcpp if dnnl_cpu_runtime == "dpcpp"
+        }}
+
+        For more information please read oneDNN developer guide:
+        https://oneapi-src.github.io/oneDNN/
+      homepage: https://github.com/oneapi-src/oneDNN
+  - package:
+      name: onednn-${{ dnnl_cpu_runtime_name }}
+      version: ${{ version }}
+    build:
+      string: ${{ dnnl_cpu_runtime }}_h${{ hash }}_${{ variant_build }}
+    requirements:
+      host:
+        - ${{ pin_subpackage('onednn', exact=True) }}
+      run:
+        - ${{ pin_subpackage('onednn', exact=True) }}
+      run_exports:
+        - ${{ pin_subpackage("onednn", upper_bound="x") }}
+    tests:
+      - script:
+          - exit 0
+    about:
+      license: Apache-2.0
+      license_file: LICENSE
+      summary: oneAPI Deep Neural Network Library (oneDNN)
+      description: |
+        oneAPI Deep Neural Network Library (oneDNN) is an open-source
+        cross-platform performance library of basic building blocks for deep
+        learning applications.
+
+        oneDNN is intended for deep learning applications and framework
+        developers interested in improving application performance.
+        Deep learning practitioners should use one of the applications
+        enabled with oneDNN.
+
+        ${{
+          desc_omp if dnnl_cpu_runtime == "omp" else
+          desc_tbb if dnnl_cpu_runtime == "tbb" else
+          desc_threadpool if dnnl_cpu_runtime == "threadpool" else
+          desc_dpcpp if dnnl_cpu_runtime == "dpcpp"
+        }}
+
+        For more information please read oneDNN developer guide:
+        https://oneapi-src.github.io/oneDNN/
+      homepage: https://github.com/oneapi-src/oneDNN
+
+about:
+  license: Apache-2.0
+  license_file:
+    - LICENSE
+    - THIRD-PARTY-PROGRAMS
+  summary: oneAPI Deep Neural Network Library (oneDNN)
+  homepage: https://github.com/oneapi-src/oneDNN
+
+extra:
+  feedstock-name: onednn
+  recipe-maintainers:
+    - xhochy
+    - densamoilov
+    - spalicki
diff --git a/tests/test_v1_yaml/version_build_as_expr_correct.yaml b/tests/test_v1_yaml/version_build_as_expr_correct.yaml
new file mode 100644
index 000000000..438f83c55
--- /dev/null
+++ b/tests/test_v1_yaml/version_build_as_expr_correct.yaml
@@ -0,0 +1,138 @@
+context:
+  name: oneDNN
+  version: "3.6.2"
+  build: 0
+  variant_build: ${{ variant_build_base | int + 100 if dnnl_cpu_runtime == "omp" else build_base }}
+  desc_omp: In this package oneDNN is built with the OpenMP CPU runtime.
+  desc_tbb: In this package oneDNN is built with the TBB CPU runtime.
+  desc_threadpool: |
+    In this package oneDNN is built with the Threadpool CPU runtime.
+    oneDNN requires the user to implement a Threadpool interface to enable
+    the library to perform computations using multiple threads.
+  desc_dpcpp: In this package oneDNN is built with the DPC++ CPU and GPU runtimes.
+
+recipe:
+  name: onednn-split
+  version: ${{ version }}
+
+source:
+  url: https://github.com/oneapi-src/${{ name }}/archive/v${{ version }}.tar.gz
+  sha256: e79db0484dcefe2c7ff6604c295d1de2830c828941898878c80dfb062eb344d1
+
+build:
+  number: ${{ variant_build }}
+
+outputs:
+  - package:
+      name: onednn
+      version: ${{ version }}
+    build:
+      string: ${{ dnnl_cpu_runtime }}_h${{ hash }}_${{ variant_build }}
+      script: build-onednn
+    requirements:
+      build:
+        - cmake
+        - ninja
+        - ${{ compiler('c') }}
+        - ${{ compiler('cxx') }}
+        - if: dnnl_cpu_runtime == "dpcpp"
+          then: ${{ compiler('dpcpp') }}
+        - ${{ stdlib("c") }}
+        - if: osx
+          then: llvm-openmp
+      host:
+        - if: dnnl_cpu_runtime in ("tbb", "dpcpp")
+          then: tbb-devel
+      run_exports:
+        - ${{ pin_subpackage("onednn", upper_bound="x") }}
+    tests:
+      - script:
+          - if: unix
+            then:
+              - test -f ${PREFIX}/lib/libdnnl${SHLIB_EXT}
+              - test -f ${PREFIX}/include/oneapi/dnnl/dnnl.h
+          - if: win
+            then:
+              - if not exist %LIBRARY_PREFIX%\\bin\\dnnl.dll exit 1
+              - if not exist %LIBRARY_PREFIX%\\lib\\dnnl.lib exit 1
+              - if not exist %LIBRARY_PREFIX%\\include\\dnnl.h exit 1
+    about:
+      license: Apache-2.0
+      license_file:
+        - THIRD-PARTY-PROGRAMS
+        - LICENSE
+      summary: oneAPI Deep Neural Network Library (oneDNN)
+      description: |
+        oneAPI Deep Neural Network Library (oneDNN) is an open-source
+        cross-platform performance library of basic building blocks for deep
+        learning applications.
+
+        oneDNN is intended for deep learning applications and framework
+        developers interested in improving application performance.
+        Deep learning practitioners should use one of the applications
+        enabled with oneDNN.
+
+        ${{
+          desc_omp if dnnl_cpu_runtime == "omp" else
+          desc_tbb if dnnl_cpu_runtime == "tbb" else
+          desc_threadpool if dnnl_cpu_runtime == "threadpool" else
+          desc_dpcpp if dnnl_cpu_runtime == "dpcpp"
+        }}
+
+        For more information please read oneDNN developer guide:
+        https://oneapi-src.github.io/oneDNN/
+      homepage: https://github.com/oneapi-src/oneDNN
+  - package:
+      name: onednn-${{ dnnl_cpu_runtime_name }}
+      version: ${{ version }}
+    build:
+      string: ${{ dnnl_cpu_runtime }}_h${{ hash }}_${{ variant_build }}
+    requirements:
+      host:
+        - ${{ pin_subpackage('onednn', exact=True) }}
+      run:
+        - ${{ pin_subpackage('onednn', exact=True) }}
+      run_exports:
+        - ${{ pin_subpackage("onednn", upper_bound="x") }}
+    tests:
+      - script:
+          - exit 0
+    about:
+      license: Apache-2.0
+      license_file: LICENSE
+      summary: oneAPI Deep Neural Network Library (oneDNN)
+      description: |
+        oneAPI Deep Neural Network Library (oneDNN) is an open-source
+        cross-platform performance library of basic building blocks for deep
+        learning applications.
+
+        oneDNN is intended for deep learning applications and framework
+        developers interested in improving application performance.
+        Deep learning practitioners should use one of the applications
+        enabled with oneDNN.
+
+        ${{
+          desc_omp if dnnl_cpu_runtime == "omp" else
+          desc_tbb if dnnl_cpu_runtime == "tbb" else
+          desc_threadpool if dnnl_cpu_runtime == "threadpool" else
+          desc_dpcpp if dnnl_cpu_runtime == "dpcpp"
+        }}
+
+        For more information please read oneDNN developer guide:
+        https://oneapi-src.github.io/oneDNN/
+      homepage: https://github.com/oneapi-src/oneDNN
+
+about:
+  license: Apache-2.0
+  license_file:
+    - LICENSE
+    - THIRD-PARTY-PROGRAMS
+  summary: oneAPI Deep Neural Network Library (oneDNN)
+  homepage: https://github.com/oneapi-src/oneDNN
+
+extra:
+  feedstock-name: onednn
+  recipe-maintainers:
+    - xhochy
+    - densamoilov
+    - spalicki
diff --git a/tests/test_v1_yaml/version_build_number_via_context.yaml b/tests/test_v1_yaml/version_build_number_via_context.yaml
new file mode 100644
index 000000000..923728093
--- /dev/null
+++ b/tests/test_v1_yaml/version_build_number_via_context.yaml
@@ -0,0 +1,227 @@
+context:
+  version: 0.20.0
+  build_number: 3
+  # see github.com/conda-forge/conda-forge.github.io/issues/1059 for naming discussion
+  # torchvision requires that CUDA major and minor versions match with pytorch
+  # https://github.com/pytorch/vision/blob/fa99a5360fbcd1683311d57a76fcc0e7323a4c1e/torchvision/extension.py#L79C1-L85C1
+  torch_proc_type: ${{ "cuda" ~ cuda_compiler_version | version_to_buildstring if cuda_compiler_version != "None" else "cpu" }}
+  # Upstream has specific compatability ranges for pytorch and python which are
+  # updated every 0.x release. https://github.com/pytorch/vision#installation
+  compatible_pytorch: 2.5
+
+  tests_to_skip: >
+    ${{ 'skip test_url_is_accessible instead of hitting 20+ servers per run, since' if 0 }}
+    ${{ 'each server might be occasionally unresponsive and end up failing our CI' if 0 }}
+    test_url_is_accessible
+    ${{ 'spurious failure because upstream skip (Image.__version__ >= "7") does not trigger for Pillow "10"' if 0 }}
+    or (test_transforms and test_adjust_saturation)
+    ${{ 'osx warns with nnpack if there is no AVX2, see conda-forge/pytorch-cpu-feedstock#56' if 0 }}
+    ${{ "or test_adjust_sharpness" if osx }}
+    ${{ '2021/10/28 hmaarrfk: I am able to run it locally on a large machine.' if 0 }}
+    ${{ 'It seems to fail around testing of vgg' if 0 }}
+    ${{ 'This test seems to just destroy the memory of the system.' if 0 }}
+    or test_forward_backward
+    or test_jit_forward_backward
+    ${{ '2022/01/21 hmaarrfk (test_frame_reading)' if 0 }}
+    ${{ 'They indicate that there can be a 1% error in their test.' if 0 }}
+    ${{ 'However, this test seems to causing the CIs to fail when this' if 0 }}
+    ${{ 'case is hit. For example the last CI failed with' if 0 }}
+    ${{ '>                   assert mean_delta.item() < 2.5' if 0 }}
+    ${{ 'E                   assert 2.502098560333252 < 2.5' if 0 }}
+    or test_frame_reading
+    ${{ 'Random perspective tests can fail if the perspective is too sharp' if 0 }}
+    ${{ 'https://github.com/conda-forge/torchvision-feedstock/issues/38' if 0 }}
+    or test_randomperspective_fill
+    ${{ 'Tolerance on the test_frozenbatchnorm2d_eps test seems to be too strict' if 0 }}
+    or test_frozenbatchnorm2d_eps
+    or test_random_apply
+    ${{ '2022/03/29 hmaarrfk' if 0 }}
+    ${{ 'It seems that this test can cause segmentation faults on the CIs.' if 0 }}
+    or test_write_video_with_audio
+    or test_video_clips_custom_fps
+    ${{ '2022/07 hmaarrfk really large memory tests. Fail on CIs' if 0 }}
+    or test_memory_efficient_densenet
+    or test_resnet_dilation
+    or test_mobilenet_v2_residual_setting
+    or test_mobilenet_norm_layer
+    or test_inception_v3_eval
+    or test_fasterrcnn_double
+    or test_googlenet_eval
+    or test_fasterrcnn_switch_devices
+    or test_mobilenet_v2_residual_setting
+    or test_vitc_models
+    or test_classification_model
+    or test_segmentation_model
+    or test_detection_model
+    or test_detection_model_validation
+    or test_video_model
+    or test_quantized_classification_model
+    or test_detection_model_trainable_backbone_layers
+    or test_raft
+    or test_build_fx_feature_extractor
+    ${{ "2023/01 These tests fail on newer numpy with module 'numpy' has no attribute 'int'" if 0 }}
+    or test_transformation_range
+    or test_transformation_discrete
+    ${{ '2023/05 The gaussian blur tests are known to be flaky due to some non-determinism on CUDA (see pytorch/vision#6755)' if 0 }}
+    or test_batched_vs_single
+    ${{ '2023/11 Draw boxes test broken by pillow 1.10.0, but is non-critical and the test is patched upstream (pytorch/vision#8051)' if 0 }}
+    or test_draw_boxes
+    ${{ '2024/02 These tests assert warnings and in PyTorch 2.1.2 the number of warnings increased' if 0 }}
+    ${{ 'causing them to fail' if 0 }}
+    or test_pretrained_pos or test_equivalent_behavior_weights
+    ${{ '2024/12 These tests use Internet' if 0 }}
+    or test_decode_gif or test_download_url or "test_get_model[lraspp"
+
+recipe:
+  name: torchvision
+  version: ${{ version }}
+
+source:
+  url: https://github.com/pytorch/vision/archive/refs/tags/v${{ version }}.tar.gz
+  sha256: b59d9896c5c957c6db0018754bbd17d079c5102b82b9be0b438553b40a7b6029
+  patches:
+    # Our newer conda-forge clang compilers complain about this for OSX
+    # https://github.com/pytorch/vision/pull/8406/files#r1730151047
+    - patches/0001-Use-system-giflib.patch
+    - patches/0002-Force-nvjpeg-and-force-failure.patch
+    # 2024/08 hmaarrfk
+    # known flaky test https://github.com/pytorch/vision/blob/9e78fe29e0851b10eb8fba0b88cc521ad67cf322/test/test_image.py#L840
+    - patches/0003-Skip-OSS-CI-in-conda-forge-as-well.patch
+    # Can likely remove after 0.20.1
+    # https://github.com/pytorch/vision/pull/8776
+    - patches/8776_compatibility_with_pyav_14.patch
+
+build:
+  number: ${{ build_number }}
+  string: ${{ torch_proc_type }}_py${{ python | version_to_buildstring }}_h${{ hash }}_${{ build_number }}
+  # CUDA < 12 not supported by pytorch anymore
+  skip: cuda_compiler_version == "11.8" or win
+
+outputs:
+  - package:
+      name: torchvision
+    build:
+      script:
+        env:
+          BUILD_VERSION: ${{ version }}
+    requirements:
+      build:
+        - ${{ stdlib('c') }}
+        - ${{ compiler('c') }}
+        - ${{ compiler('cxx') }}
+        - if: cuda_compiler_version != "None"
+          then:
+            - ${{ compiler('cuda') }}
+        # avoid nested conditions because of
+        # https://github.com/conda-forge/conda-smithy/issues/2165
+        - if: build_platform != target_platform and cuda_compiler_version != "None"
+          then:
+            - libcublas-dev
+            - libcusolver-dev
+            - libcusparse-dev
+            - libnvjpeg-dev
+        - if: build_platform != target_platform
+          then:
+            - python
+            - cross-python_${{ target_platform }}
+            # - numpy
+            - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+      host:
+        - python
+        # - numpy
+        - pip
+        - setuptools
+        - if: cuda_compiler_version != "None"
+          then:
+            - cudnn
+            - libcublas-dev
+            - libcusolver-dev
+            - libcusparse-dev
+            - libnvjpeg-dev
+        - libavif
+        # Add a "naked" libheif so that the global pinning is picked up
+        - libheif
+        # Add a constraint on the build time configuration of libheif to avoid gpl code
+        - libheif [build=lgpl*]
+        - libjpeg-turbo
+        - libpng
+        - libwebp
+        # https://github.com/pytorch/vision/pull/8406/files#r1730151047
+        - giflib
+        # Specify lgpl version of ffmpeg so that there are
+        # no quesitons about the license of the resulting binary
+        # hmaarrfk: 2022/07, I think that torchvision just has bugs with ffmpeg
+        # - ffmpeg {{ ffmpeg }} [build=lgpl_*]
+        # exclude 8.3.0 and 8.3.1 specifically due to pytorch/vision#4146, python-pillow/Pillow#5571
+        - pillow >=5.3.0,!=8.3.0,!=8.3.1
+        - libtorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - requests
+      run:
+        - python
+        - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - if: cuda_compiler_version != "None"
+          then:
+            - ${{ pin_compatible('cudnn') }}
+        - pillow >=5.3.0,!=8.3.0,!=8.3.1
+        # They don't really document it, but it seems that they want a minimum version
+        # https://github.com/pytorch/vision/blob/v0.19.0/packaging/torchvision/meta.yaml#L26
+        - numpy >=1.23.5
+        # While their conda package depends on requests, it seems it is only used for some test
+        # scripts and not the runtime
+        # - requests
+    tests:
+      - python:
+          imports:
+            - torchvision
+            - torchvision.datasets
+            - torchvision.models
+            - torchvision.transforms
+            - torchvision.utils
+          pip_check: true
+      - requirements:
+          run:
+            - pip
+        script:
+          - pip list
+          - if: unix
+            then: pip list | grep torchvision | grep ${{ version }}
+
+  - package:
+      name: torchvision-tests
+    build:
+      script: true
+    requirements:
+      run:
+        - ${{ pin_subpackage('torchvision', exact=True) }}
+    tests:
+      - files:
+          source:
+            - test/
+            - references/
+            - pytest.ini
+        requirements:
+          run:
+            - pytest
+            - requests
+            - av
+            - expecttest
+            - scipy
+            - pytest-mock
+            - pytest-socket
+        script:
+          - pytest --disable-socket --verbose -k "not (${{ tests_to_skip }})" --durations=50 test/
+
+about:
+  license: BSD-3-Clause
+  license_file: LICENSE
+  summary: Image and video datasets and models for torch deep learning
+  homepage: http://pytorch.org/
+  repository: https://github.com/pytorch/vision
+
+extra:
+  recipe-maintainers:
+    - nehaljwani
+    - hmaarrfk
+    - h-vetinari
+  feedstock-name: torchvision
diff --git a/tests/test_v1_yaml/version_build_number_via_context_correct.yaml b/tests/test_v1_yaml/version_build_number_via_context_correct.yaml
new file mode 100644
index 000000000..e194db297
--- /dev/null
+++ b/tests/test_v1_yaml/version_build_number_via_context_correct.yaml
@@ -0,0 +1,227 @@
+context:
+  version: "0.20.1"
+  build_number: 0
+  # see github.com/conda-forge/conda-forge.github.io/issues/1059 for naming discussion
+  # torchvision requires that CUDA major and minor versions match with pytorch
+  # https://github.com/pytorch/vision/blob/fa99a5360fbcd1683311d57a76fcc0e7323a4c1e/torchvision/extension.py#L79C1-L85C1
+  torch_proc_type: ${{ "cuda" ~ cuda_compiler_version | version_to_buildstring if cuda_compiler_version != "None" else "cpu" }}
+  # Upstream has specific compatability ranges for pytorch and python which are
+  # updated every 0.x release. https://github.com/pytorch/vision#installation
+  compatible_pytorch: '2.5'
+
+  tests_to_skip: >
+    ${{ 'skip test_url_is_accessible instead of hitting 20+ servers per run, since' if 0 }}
+    ${{ 'each server might be occasionally unresponsive and end up failing our CI' if 0 }}
+    test_url_is_accessible
+    ${{ 'spurious failure because upstream skip (Image.__version__ >= "7") does not trigger for Pillow "10"' if 0 }}
+    or (test_transforms and test_adjust_saturation)
+    ${{ 'osx warns with nnpack if there is no AVX2, see conda-forge/pytorch-cpu-feedstock#56' if 0 }}
+    ${{ "or test_adjust_sharpness" if osx }}
+    ${{ '2021/10/28 hmaarrfk: I am able to run it locally on a large machine.' if 0 }}
+    ${{ 'It seems to fail around testing of vgg' if 0 }}
+    ${{ 'This test seems to just destroy the memory of the system.' if 0 }}
+    or test_forward_backward
+    or test_jit_forward_backward
+    ${{ '2022/01/21 hmaarrfk (test_frame_reading)' if 0 }}
+    ${{ 'They indicate that there can be a 1% error in their test.' if 0 }}
+    ${{ 'However, this test seems to causing the CIs to fail when this' if 0 }}
+    ${{ 'case is hit. For example the last CI failed with' if 0 }}
+    ${{ '>                   assert mean_delta.item() < 2.5' if 0 }}
+    ${{ 'E                   assert 2.502098560333252 < 2.5' if 0 }}
+    or test_frame_reading
+    ${{ 'Random perspective tests can fail if the perspective is too sharp' if 0 }}
+    ${{ 'https://github.com/conda-forge/torchvision-feedstock/issues/38' if 0 }}
+    or test_randomperspective_fill
+    ${{ 'Tolerance on the test_frozenbatchnorm2d_eps test seems to be too strict' if 0 }}
+    or test_frozenbatchnorm2d_eps
+    or test_random_apply
+    ${{ '2022/03/29 hmaarrfk' if 0 }}
+    ${{ 'It seems that this test can cause segmentation faults on the CIs.' if 0 }}
+    or test_write_video_with_audio
+    or test_video_clips_custom_fps
+    ${{ '2022/07 hmaarrfk really large memory tests. Fail on CIs' if 0 }}
+    or test_memory_efficient_densenet
+    or test_resnet_dilation
+    or test_mobilenet_v2_residual_setting
+    or test_mobilenet_norm_layer
+    or test_inception_v3_eval
+    or test_fasterrcnn_double
+    or test_googlenet_eval
+    or test_fasterrcnn_switch_devices
+    or test_mobilenet_v2_residual_setting
+    or test_vitc_models
+    or test_classification_model
+    or test_segmentation_model
+    or test_detection_model
+    or test_detection_model_validation
+    or test_video_model
+    or test_quantized_classification_model
+    or test_detection_model_trainable_backbone_layers
+    or test_raft
+    or test_build_fx_feature_extractor
+    ${{ "2023/01 These tests fail on newer numpy with module 'numpy' has no attribute 'int'" if 0 }}
+    or test_transformation_range
+    or test_transformation_discrete
+    ${{ '2023/05 The gaussian blur tests are known to be flaky due to some non-determinism on CUDA (see pytorch/vision#6755)' if 0 }}
+    or test_batched_vs_single
+    ${{ '2023/11 Draw boxes test broken by pillow 1.10.0, but is non-critical and the test is patched upstream (pytorch/vision#8051)' if 0 }}
+    or test_draw_boxes
+    ${{ '2024/02 These tests assert warnings and in PyTorch 2.1.2 the number of warnings increased' if 0 }}
+    ${{ 'causing them to fail' if 0 }}
+    or test_pretrained_pos or test_equivalent_behavior_weights
+    ${{ '2024/12 These tests use Internet' if 0 }}
+    or test_decode_gif or test_download_url or "test_get_model[lraspp"
+
+recipe:
+  name: torchvision
+  version: ${{ version }}
+
+source:
+  url: https://github.com/pytorch/vision/archive/refs/tags/v${{ version }}.tar.gz
+  sha256: 7e08c7f56e2c89859310e53d898f72bccc4987cd83e08cfd6303513da15a9e71
+  patches:
+    # Our newer conda-forge clang compilers complain about this for OSX
+    # https://github.com/pytorch/vision/pull/8406/files#r1730151047
+    - patches/0001-Use-system-giflib.patch
+    - patches/0002-Force-nvjpeg-and-force-failure.patch
+    # 2024/08 hmaarrfk
+    # known flaky test https://github.com/pytorch/vision/blob/9e78fe29e0851b10eb8fba0b88cc521ad67cf322/test/test_image.py#L840
+    - patches/0003-Skip-OSS-CI-in-conda-forge-as-well.patch
+    # Can likely remove after 0.20.1
+    # https://github.com/pytorch/vision/pull/8776
+    - patches/8776_compatibility_with_pyav_14.patch
+
+build:
+  number: ${{ build_number }}
+  string: ${{ torch_proc_type }}_py${{ python | version_to_buildstring }}_h${{ hash }}_${{ build_number }}
+  # CUDA < 12 not supported by pytorch anymore
+  skip: cuda_compiler_version == "11.8" or win
+
+outputs:
+  - package:
+      name: torchvision
+    build:
+      script:
+        env:
+          BUILD_VERSION: ${{ version }}
+    requirements:
+      build:
+        - ${{ stdlib('c') }}
+        - ${{ compiler('c') }}
+        - ${{ compiler('cxx') }}
+        - if: cuda_compiler_version != "None"
+          then:
+            - ${{ compiler('cuda') }}
+        # avoid nested conditions because of
+        # https://github.com/conda-forge/conda-smithy/issues/2165
+        - if: build_platform != target_platform and cuda_compiler_version != "None"
+          then:
+            - libcublas-dev
+            - libcusolver-dev
+            - libcusparse-dev
+            - libnvjpeg-dev
+        - if: build_platform != target_platform
+          then:
+            - python
+            - cross-python_${{ target_platform }}
+            # - numpy
+            - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+      host:
+        - python
+        # - numpy
+        - pip
+        - setuptools
+        - if: cuda_compiler_version != "None"
+          then:
+            - cudnn
+            - libcublas-dev
+            - libcusolver-dev
+            - libcusparse-dev
+            - libnvjpeg-dev
+        - libavif
+        # Add a "naked" libheif so that the global pinning is picked up
+        - libheif
+        # Add a constraint on the build time configuration of libheif to avoid gpl code
+        - libheif [build=lgpl*]
+        - libjpeg-turbo
+        - libpng
+        - libwebp
+        # https://github.com/pytorch/vision/pull/8406/files#r1730151047
+        - giflib
+        # Specify lgpl version of ffmpeg so that there are
+        # no quesitons about the license of the resulting binary
+        # hmaarrfk: 2022/07, I think that torchvision just has bugs with ffmpeg
+        # - ffmpeg {{ ffmpeg }} [build=lgpl_*]
+        # exclude 8.3.0 and 8.3.1 specifically due to pytorch/vision#4146, python-pillow/Pillow#5571
+        - pillow >=5.3.0,!=8.3.0,!=8.3.1
+        - libtorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - requests
+      run:
+        - python
+        - pytorch ${{ compatible_pytorch }}.* [build=${{ torch_proc_type }}*]
+        - if: cuda_compiler_version != "None"
+          then:
+            - ${{ pin_compatible('cudnn') }}
+        - pillow >=5.3.0,!=8.3.0,!=8.3.1
+        # They don't really document it, but it seems that they want a minimum version
+        # https://github.com/pytorch/vision/blob/v0.19.0/packaging/torchvision/meta.yaml#L26
+        - numpy >=1.23.5
+        # While their conda package depends on requests, it seems it is only used for some test
+        # scripts and not the runtime
+        # - requests
+    tests:
+      - python:
+          imports:
+            - torchvision
+            - torchvision.datasets
+            - torchvision.models
+            - torchvision.transforms
+            - torchvision.utils
+          pip_check: true
+      - requirements:
+          run:
+            - pip
+        script:
+          - pip list
+          - if: unix
+            then: pip list | grep torchvision | grep ${{ version }}
+
+  - package:
+      name: torchvision-tests
+    build:
+      script: true
+    requirements:
+      run:
+        - ${{ pin_subpackage('torchvision', exact=True) }}
+    tests:
+      - files:
+          source:
+            - test/
+            - references/
+            - pytest.ini
+        requirements:
+          run:
+            - pytest
+            - requests
+            - av
+            - expecttest
+            - scipy
+            - pytest-mock
+            - pytest-socket
+        script:
+          - pytest --disable-socket --verbose -k "not (${{ tests_to_skip }})" --durations=50 test/
+
+about:
+  license: BSD-3-Clause
+  license_file: LICENSE
+  summary: Image and video datasets and models for torch deep learning
+  homepage: http://pytorch.org/
+  repository: https://github.com/pytorch/vision
+
+extra:
+  recipe-maintainers:
+    - nehaljwani
+    - hmaarrfk
+    - h-vetinari
+  feedstock-name: torchvision
diff --git a/tests/test_v1_yaml/version_conditional_sources.yaml b/tests/test_v1_yaml/version_conditional_sources.yaml
new file mode 100644
index 000000000..8b15bd497
--- /dev/null
+++ b/tests/test_v1_yaml/version_conditional_sources.yaml
@@ -0,0 +1,65 @@
+context:
+  name: blpapi
+  version: 3.24.10
+  blpapicpp_linux_version: ${{ version }}.1
+  blpapicpp_win_version: ${{ version }}.1
+  blpapicpp_osx_version: ${{ version }}.1
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  - url: https://blpapi.bloomberg.com/repository/releases/python/${{ name }}-${{ version }}.tar.gz
+    sha256: 6ff5b6eb9c4d154f311d57d34c12ac839b634331add069a38965f11b0fe38794
+  - if: linux
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_linux_version }}-linux.tar.gz
+      sha256: 0b5498c93af191460c069658a9235c18058e4f7afd94dbb1d7e1020602a6ac2a
+      target_directory: blpapi
+  - if: win
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_win_version }}-windows.zip
+      sha256: 88a82f3e5284f2b5e7f8470b1d896972073cdc8350a60187e25ce1bd0c6b361e
+      target_directory: blpapi
+  - if: osx and arm64
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_osx_version }}-macos-arm64.tar.gz
+      sha256: 64f7a5a0e8750ca63a0fc022516861234676a7a7a854843d82ed64edc1a27c90
+      target_directory: blpapi
+
+build:
+  number: 0
+  skip: osx and x86_64
+
+requirements:
+  build:
+    - ${{ compiler('cxx') }}
+    - ${{ stdlib("c") }}
+    - if: build_platform != target_platform
+      then: python
+    - if: build_platform != target_platform
+      then: cross-python_${{ target_platform }}
+  host:
+    - python
+    - setuptools
+    - pip
+  run:
+    - python
+
+tests:
+  - python:
+      imports:
+        - blpapi
+
+about:
+  license: LicenseRef-Bloomberg-BLPAPI
+  license_file: License.txt
+  summary: Python SDK for Bloomberg BLPAPI
+  homepage: https://www.bloomberg.com/professional/support/api-library/
+
+extra:
+  recipe-maintainers:
+    - reggied
+    - matthewgilbert
+    - adament
diff --git a/tests/test_v1_yaml/version_conditional_sources_correct.yaml b/tests/test_v1_yaml/version_conditional_sources_correct.yaml
new file mode 100644
index 000000000..30a9d3707
--- /dev/null
+++ b/tests/test_v1_yaml/version_conditional_sources_correct.yaml
@@ -0,0 +1,65 @@
+context:
+  name: blpapi
+  version: "3.24.11"
+  blpapicpp_linux_version: ${{ version }}.1
+  blpapicpp_win_version: ${{ version }}.1
+  blpapicpp_osx_version: ${{ version }}.1
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  - url: https://blpapi.bloomberg.com/repository/releases/python/${{ name }}-${{ version }}.tar.gz
+    sha256: 94dc699df262187b3afe4f163526aac67fb5982b008efe851836e9f1cd5358c1
+  - if: linux
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_linux_version }}-linux.tar.gz
+      sha256: eb1a9aa834a969a8ccbbb04061274623659a1fb273abda4413b47fe59e7ee412
+      target_directory: blpapi
+  - if: win
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_win_version }}-windows.zip
+      sha256: e63c0b75d50097194c425489a08cec9c0374ab7b8eafe5b015c076bb2432fa19
+      target_directory: blpapi
+  - if: osx and arm64
+    then:
+      url: https://blpapi.bloomberg.com/download/releases/raw/files/blpapi_cpp_${{ blpapicpp_osx_version }}-macos-arm64.tar.gz
+      sha256: fa96331edf06dd2342cb27771367516296067e94961ec6e600add1c2eed9c41d
+      target_directory: blpapi
+
+build:
+  number: 0
+  skip: osx and x86_64
+
+requirements:
+  build:
+    - ${{ compiler('cxx') }}
+    - ${{ stdlib("c") }}
+    - if: build_platform != target_platform
+      then: python
+    - if: build_platform != target_platform
+      then: cross-python_${{ target_platform }}
+  host:
+    - python
+    - setuptools
+    - pip
+  run:
+    - python
+
+tests:
+  - python:
+      imports:
+        - blpapi
+
+about:
+  license: LicenseRef-Bloomberg-BLPAPI
+  license_file: License.txt
+  summary: Python SDK for Bloomberg BLPAPI
+  homepage: https://www.bloomberg.com/professional/support/api-library/
+
+extra:
+  recipe-maintainers:
+    - reggied
+    - matthewgilbert
+    - adament
diff --git a/tests/test_v1_yaml/version_cranmirror.yaml b/tests/test_v1_yaml/version_cranmirror.yaml
new file mode 100644
index 000000000..0468dfe72
--- /dev/null
+++ b/tests/test_v1_yaml/version_cranmirror.yaml
@@ -0,0 +1,68 @@
+context:
+  version: '0.3.2'
+  posix: ${{ 'm2-' if win else '' }}
+  native: ${{ 'm2w64-' if win else '' }}
+  cran_mirror: https://cran.r-project.org
+
+package:
+  name: r-taxa
+  version: ${{ version|replace("-", "_") }}
+
+source:
+  url:
+    - ${{ cran_mirror }}/src/contrib/taxa_${{ version }}.tar.gz
+    - ${{ cran_mirror }}/src/contrib/Archive/taxa/taxa_${{ version }}.tar.gz
+  sha256: 0000db83bfed738aec4456f54e3722f0a0aff38f9f3896e4640ca87f7b45a287
+
+build:
+  number: 10
+  noarch: generic
+
+requirements:
+  build:
+    - ${{posix}}zip
+  host:
+    - r-base
+    - r-r6
+    - r-crayon
+    - r-dplyr
+    - r-jsonlite
+    - r-knitr
+    - r-lazyeval
+    - r-magrittr
+    - r-rlang
+    - r-stringr
+    - r-taxize
+    - r-tibble
+    - r-tidyr
+  run:
+    - r-base
+    - r-r6
+    - r-crayon
+    - r-dplyr
+    - r-jsonlite
+    - r-knitr
+    - r-lazyeval
+    - r-magrittr
+    - r-rlang
+    - r-stringr
+    - r-taxize
+    - r-tibble
+    - r-tidyr
+
+tests:
+  - script:
+      - $R -e "library('taxa')"
+
+about:
+  homepage: https://github.com/ropensci/taxa
+  license: MIT
+  license_file: LICENSE
+  summary: |
+    Provides taxonomic classes for groupings of taxonomic names without data, and those
+    with data. Methods provided are "taxonomically aware", in that they know about ordering
+    of ranks, and methods that filter based on taxonomy also filter associated data.
+
+extra:
+  recipe-maintainers:
+    - conda-forge/r
diff --git a/tests/test_v1_yaml/version_cranmirror_correct.yaml b/tests/test_v1_yaml/version_cranmirror_correct.yaml
new file mode 100644
index 000000000..3681f01fa
--- /dev/null
+++ b/tests/test_v1_yaml/version_cranmirror_correct.yaml
@@ -0,0 +1,68 @@
+context:
+  version: "0.3.3"
+  posix: ${{ 'm2-' if win else '' }}
+  native: ${{ 'm2w64-' if win else '' }}
+  cran_mirror: https://cran.r-project.org
+
+package:
+  name: r-taxa
+  version: ${{ version|replace("-", "_") }}
+
+source:
+  url:
+    - ${{ cran_mirror }}/src/contrib/taxa_${{ version }}.tar.gz
+    - ${{ cran_mirror }}/src/contrib/Archive/taxa/taxa_${{ version }}.tar.gz
+  sha256: 4822db83bfed738aec4456f54e3722f0a0aff38f9f3896e4640ca87f7b45a287
+
+build:
+  number: 0
+  noarch: generic
+
+requirements:
+  build:
+    - ${{posix}}zip
+  host:
+    - r-base
+    - r-r6
+    - r-crayon
+    - r-dplyr
+    - r-jsonlite
+    - r-knitr
+    - r-lazyeval
+    - r-magrittr
+    - r-rlang
+    - r-stringr
+    - r-taxize
+    - r-tibble
+    - r-tidyr
+  run:
+    - r-base
+    - r-r6
+    - r-crayon
+    - r-dplyr
+    - r-jsonlite
+    - r-knitr
+    - r-lazyeval
+    - r-magrittr
+    - r-rlang
+    - r-stringr
+    - r-taxize
+    - r-tibble
+    - r-tidyr
+
+tests:
+  - script:
+      - $R -e "library('taxa')"
+
+about:
+  homepage: https://github.com/ropensci/taxa
+  license: MIT
+  license_file: LICENSE
+  summary: |
+    Provides taxonomic classes for groupings of taxonomic names without data, and those
+    with data. Methods provided are "taxonomically aware", in that they know about ordering
+    of ranks, and methods that filter based on taxonomy also filter associated data.
+
+extra:
+  recipe-maintainers:
+    - conda-forge/r
diff --git a/tests/test_v1_yaml/version_event_stream.yaml b/tests/test_v1_yaml/version_event_stream.yaml
new file mode 100644
index 000000000..f55ef5efd
--- /dev/null
+++ b/tests/test_v1_yaml/version_event_stream.yaml
@@ -0,0 +1,42 @@
+context:
+  name: event-stream
+  version: 1.6.2
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  - url: https://pypi.io/packages/source/${{ name[0] }}/${{ name }}/event_stream-${{ version }}.tar.gz
+    sha256: 823dada12821552c7a82ebd47e4a279079dc6693cb1b86c64b6f857459b99d9e
+  - path: npy_2_compat.h
+    target_directory: python
+
+build:
+  script: ${{ PYTHON }} -m pip install . --no-deps --ignore-installed -vv
+  number: 2
+  skip: win
+
+requirements:
+  build:
+    - ${{ compiler('c') }}
+    - ${{ compiler('cxx') }}
+    - ${{ stdlib("c") }}
+  host:
+    - python
+    - setuptools
+    - wheel
+    - numpy
+    - pip
+  run:
+    - python
+
+about:
+  homepage: https://github.com/neuromorphicsystems/event_stream
+  summary: Read and write Event Stream (.es) files
+  license: MIT
+  license_file: LICENSE
+
+extra:
+  recipe-maintainers:
+    - Tobias-Fischer
diff --git a/tests/test_v1_yaml/version_event_stream_correct.yaml b/tests/test_v1_yaml/version_event_stream_correct.yaml
new file mode 100644
index 000000000..6892159bf
--- /dev/null
+++ b/tests/test_v1_yaml/version_event_stream_correct.yaml
@@ -0,0 +1,42 @@
+context:
+  name: event-stream
+  version: "1.6.3"
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  - url: https://pypi.io/packages/source/${{ name[0] }}/${{ name }}/event_stream-${{ version }}.tar.gz
+    sha256: a5ba0297bf81109294997673e1a9ad9835f75d6d7eabe92f16f1a3c176cbe944
+  - path: npy_2_compat.h
+    target_directory: python
+
+build:
+  script: ${{ PYTHON }} -m pip install . --no-deps --ignore-installed -vv
+  number: 0
+  skip: win
+
+requirements:
+  build:
+    - ${{ compiler('c') }}
+    - ${{ compiler('cxx') }}
+    - ${{ stdlib("c") }}
+  host:
+    - python
+    - setuptools
+    - wheel
+    - numpy
+    - pip
+  run:
+    - python
+
+about:
+  homepage: https://github.com/neuromorphicsystems/event_stream
+  summary: Read and write Event Stream (.es) files
+  license: MIT
+  license_file: LICENSE
+
+extra:
+  recipe-maintainers:
+    - Tobias-Fischer
diff --git a/tests/test_v1_yaml/version_jolt.yaml b/tests/test_v1_yaml/version_jolt.yaml
new file mode 100644
index 000000000..896bc8048
--- /dev/null
+++ b/tests/test_v1_yaml/version_jolt.yaml
@@ -0,0 +1,73 @@
+context:
+  version: "5.1.0"
+  sha: 10fcc863ae2b9d48c2f22d8b0204034820e57a55f858b7c388ac9579d8cf4095
+
+package:
+  name: jolt-physics
+  version: ${{ version }}
+
+source:
+  url: https://github.com/jrouwe/JoltPhysics/archive/refs/tags/v${{ version }}.zip
+  sha256: ${{ sha }}
+  patches:
+    - patches/001-use-gnuinstalldirs.patch
+
+build:
+  number: 0
+  script:
+    - if: win
+      then: |
+        cmake -GNinja ^
+            %CMAKE_ARGS% ^
+            -DCMAKE_INSTALL_PREFIX=%LIBRARY_PREFIX% ^
+            -DBUILD_SHARED_LIBS=ON ^
+            -DCMAKE_BUILD_TYPE=Distribution ^
+            -DCROSS_PLATFORM_DETERMINISTIC=ON ^
+            -DTARGET_VIEWER=OFF ^
+            -DTARGET_SAMPLES=OFF ^
+            -DTARGET_HELLO_WORLD=OFF ^
+            -DTARGET_UNIT_TESTS=OFF ^
+            -DTARGET_PERFORMANCE_TEST=OFF ^
+            -S %SRC_DIR%\Build
+        cmake --build . --target install
+      else: |
+        cmake -GNinja \
+            $CMAKE_ARGS \
+            -DCMAKE_INSTALL_PREFIX=$PREFIX \
+            -DBUILD_SHARED_LIBS=ON \
+            -DCMAKE_BUILD_TYPE=Distribution \
+            -DCROSS_PLATFORM_DETERMINISTIC=ON \
+            -DTARGET_VIEWER=OFF \
+            -DTARGET_SAMPLES=OFF \
+            -DTARGET_HELLO_WORLD=OFF \
+            -DTARGET_UNIT_TESTS=OFF \
+            -DTARGET_PERFORMANCE_TEST=OFF \
+            -S $SRC_DIR/Build
+        cmake --build . --target install
+
+requirements:
+  build:
+    - ${{ compiler("cxx") }}
+    - ${{ stdlib("c") }}
+    - cmake
+    - ninja
+
+tests:
+  - package_contents:
+      include:
+        - Jolt/Jolt.h
+      lib:
+        - Jolt
+
+about:
+  homepage: https://github.com/jrouwe/JoltPhysics
+  license: MIT
+  license_file: LICENSE
+  summary: A multi core friendly rigid body physics and collision detection library.
+  description: A multi core friendly rigid body physics and collision detection library. Written in C++. Suitable for games and VR applications. Used by Horizon Forbidden West.
+  documentation: https://jrouwe.github.io/JoltPhysics/
+  repository: https://github.com/jrouwe/JoltPhysics
+
+extra:
+  recipe-maintainers:
+    - baszalmstra
diff --git a/tests/test_v1_yaml/version_jolt_correct.yaml b/tests/test_v1_yaml/version_jolt_correct.yaml
new file mode 100644
index 000000000..a0f69cc07
--- /dev/null
+++ b/tests/test_v1_yaml/version_jolt_correct.yaml
@@ -0,0 +1,73 @@
+context:
+  version: "5.2.0"
+  sha: 6953a6293f1ccfe3790cb0d778c71e3736031c441e0f434fd2baa8d307ebfef3
+
+package:
+  name: jolt-physics
+  version: ${{ version }}
+
+source:
+  url: https://github.com/jrouwe/JoltPhysics/archive/refs/tags/v${{ version }}.zip
+  sha256: ${{ sha }}
+  patches:
+    - patches/001-use-gnuinstalldirs.patch
+
+build:
+  number: 0
+  script:
+    - if: win
+      then: |
+        cmake -GNinja ^
+            %CMAKE_ARGS% ^
+            -DCMAKE_INSTALL_PREFIX=%LIBRARY_PREFIX% ^
+            -DBUILD_SHARED_LIBS=ON ^
+            -DCMAKE_BUILD_TYPE=Distribution ^
+            -DCROSS_PLATFORM_DETERMINISTIC=ON ^
+            -DTARGET_VIEWER=OFF ^
+            -DTARGET_SAMPLES=OFF ^
+            -DTARGET_HELLO_WORLD=OFF ^
+            -DTARGET_UNIT_TESTS=OFF ^
+            -DTARGET_PERFORMANCE_TEST=OFF ^
+            -S %SRC_DIR%\Build
+        cmake --build . --target install
+      else: |
+        cmake -GNinja \
+            $CMAKE_ARGS \
+            -DCMAKE_INSTALL_PREFIX=$PREFIX \
+            -DBUILD_SHARED_LIBS=ON \
+            -DCMAKE_BUILD_TYPE=Distribution \
+            -DCROSS_PLATFORM_DETERMINISTIC=ON \
+            -DTARGET_VIEWER=OFF \
+            -DTARGET_SAMPLES=OFF \
+            -DTARGET_HELLO_WORLD=OFF \
+            -DTARGET_UNIT_TESTS=OFF \
+            -DTARGET_PERFORMANCE_TEST=OFF \
+            -S $SRC_DIR/Build
+        cmake --build . --target install
+
+requirements:
+  build:
+    - ${{ compiler("cxx") }}
+    - ${{ stdlib("c") }}
+    - cmake
+    - ninja
+
+tests:
+  - package_contents:
+      include:
+        - Jolt/Jolt.h
+      lib:
+        - Jolt
+
+about:
+  homepage: https://github.com/jrouwe/JoltPhysics
+  license: MIT
+  license_file: LICENSE
+  summary: A multi core friendly rigid body physics and collision detection library.
+  description: A multi core friendly rigid body physics and collision detection library. Written in C++. Suitable for games and VR applications. Used by Horizon Forbidden West.
+  documentation: https://jrouwe.github.io/JoltPhysics/
+  repository: https://github.com/jrouwe/JoltPhysics
+
+extra:
+  recipe-maintainers:
+    - baszalmstra
diff --git a/tests/test_v1_yaml/version_libssh.yaml b/tests/test_v1_yaml/version_libssh.yaml
new file mode 100644
index 000000000..de6572c17
--- /dev/null
+++ b/tests/test_v1_yaml/version_libssh.yaml
@@ -0,0 +1,58 @@
+schema_version: 1
+
+context:
+  name: libssh
+  version: 0.10.6
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  url: https://www.libssh.org/files/${{ (version | split("."))[:2] | join(".") }}/${{ name }}-${{ version }}.tar.xz
+  sha256: 1861d498f5b6f1741b6abc73e608478491edcf9c9d4b6630eef6e74596de9dc1
+
+build:
+  number: 2
+  skip: not unix
+
+requirements:
+  build:
+    - ${{ compiler('cxx') }}
+    - ${{ compiler('c') }}
+    - ${{ stdlib('c') }}
+    - cmake
+    - make
+  host:
+    - openssl
+    - zlib
+    - krb5
+  run_exports:
+    # We pin to a minor version due to an incompatibility
+    # between 0.8 and 0.10
+    # https://abi-laboratory.pro/index.php?view=timeline&l=libssh
+    - ${{ pin_subpackage('libssh', upper_bound='x.x') }}
+
+tests:
+  - script:
+      - test -f $PREFIX/include/libssh/libssh.h
+      - test -f $PREFIX/lib/pkgconfig/libssh.pc
+      - test -f $PREFIX/lib/libssh$SHLIB_EXT
+
+about:
+  homepage: https://libssh.org
+  license: LGPL-2.1-or-later
+  license_file: COPYING
+  summary: libssh - The SSH library
+
+  description: |
+    libssh is a multiplatform C library implementing the SSHv2 protocol
+    on client and server side. With libssh, you can remotely execute
+    programs, transfer files, use a secure and transparent tunnel,
+    manage public keys and much more ...
+  documentation: https://www.libssh.org/documentation/
+
+extra:
+  recipe-maintainers:
+    - jan-janssen
+    - matthiasdiener
diff --git a/tests/test_v1_yaml/version_libssh_correct.yaml b/tests/test_v1_yaml/version_libssh_correct.yaml
new file mode 100644
index 000000000..8a2eb5a27
--- /dev/null
+++ b/tests/test_v1_yaml/version_libssh_correct.yaml
@@ -0,0 +1,58 @@
+schema_version: 1
+
+context:
+  name: libssh
+  version: "0.11.1"
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  url: https://www.libssh.org/files/${{ (version | split("."))[:2] | join(".") }}/${{ name }}-${{ version }}.tar.xz
+  sha256: 14b7dcc72e91e08151c58b981a7b570ab2663f630e7d2837645d5a9c612c1b79
+
+build:
+  number: 0
+  skip: not unix
+
+requirements:
+  build:
+    - ${{ compiler('cxx') }}
+    - ${{ compiler('c') }}
+    - ${{ stdlib('c') }}
+    - cmake
+    - make
+  host:
+    - openssl
+    - zlib
+    - krb5
+  run_exports:
+    # We pin to a minor version due to an incompatibility
+    # between 0.8 and 0.10
+    # https://abi-laboratory.pro/index.php?view=timeline&l=libssh
+    - ${{ pin_subpackage('libssh', upper_bound='x.x') }}
+
+tests:
+  - script:
+      - test -f $PREFIX/include/libssh/libssh.h
+      - test -f $PREFIX/lib/pkgconfig/libssh.pc
+      - test -f $PREFIX/lib/libssh$SHLIB_EXT
+
+about:
+  homepage: https://libssh.org
+  license: LGPL-2.1-or-later
+  license_file: COPYING
+  summary: libssh - The SSH library
+
+  description: |
+    libssh is a multiplatform C library implementing the SSHv2 protocol
+    on client and server side. With libssh, you can remotely execute
+    programs, transfer files, use a secure and transparent tunnel,
+    manage public keys and much more ...
+  documentation: https://www.libssh.org/documentation/
+
+extra:
+  recipe-maintainers:
+    - jan-janssen
+    - matthiasdiener
diff --git a/tests/test_v1_yaml/version_pypi_url.yaml b/tests/test_v1_yaml/version_pypi_url.yaml
new file mode 100644
index 000000000..889c5f721
--- /dev/null
+++ b/tests/test_v1_yaml/version_pypi_url.yaml
@@ -0,0 +1,40 @@
+context:
+  name: dagster_spark
+  version: 0.6.5
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  url: "https://pypi.io/packages/source/${{ name[0] }}/${{ name }}/${{ name }}-${{ version }}.tar.gz"
+  sha256: 4b7bf11c1436a277b757afaeb79e07562720d4339e8293d6d5d4849d5f4c1549
+
+build:
+  number: 100
+  noarch: python
+  script: ${{ PYTHON }} -m pip install . -vv
+
+requirements:
+  host:
+    - pip
+    - python
+    - setuptools
+  run:
+    - python
+    - dagster ${{ version }}.*
+
+tests:
+  - python:
+      imports:
+        - dagster_spark
+
+about:
+  homepage: "https://github.com/dagster-io/dagster/tree/master/python_modules/libraries/dagster-spark"
+  license: Apache-2.0
+  license_file: LICENSE
+  summary: "Package for Spark Dagster framework components."
+
+extra:
+  recipe-maintainers:
+    - conda-forge/dagster
diff --git a/tests/test_v1_yaml/version_pypi_url_correct.yaml b/tests/test_v1_yaml/version_pypi_url_correct.yaml
new file mode 100644
index 000000000..67ff524fe
--- /dev/null
+++ b/tests/test_v1_yaml/version_pypi_url_correct.yaml
@@ -0,0 +1,40 @@
+context:
+  name: dagster_spark
+  version: "0.7.1"
+
+package:
+  name: ${{ name|lower }}
+  version: ${{ version }}
+
+source:
+  url: "https://pypi.io/packages/source/${{ name[0] }}/${{ name }}/${{ name | replace('_', '-') }}-${{ version }}.tar.gz"
+  sha256: f3fe3f89011899b82451669cf1dbe4978523b8ac0f62c9c116429876fe8b6be8
+
+build:
+  number: 0
+  noarch: python
+  script: ${{ PYTHON }} -m pip install . -vv
+
+requirements:
+  host:
+    - pip
+    - python
+    - setuptools
+  run:
+    - python
+    - dagster ${{ version }}.*
+
+tests:
+  - python:
+      imports:
+        - dagster_spark
+
+about:
+  homepage: "https://github.com/dagster-io/dagster/tree/master/python_modules/libraries/dagster-spark"
+  license: Apache-2.0
+  license_file: LICENSE
+  summary: "Package for Spark Dagster framework components."
+
+extra:
+  recipe-maintainers:
+    - conda-forge/dagster
diff --git a/tests/test_v1_yaml/version_selshaurl.yaml b/tests/test_v1_yaml/version_selshaurl.yaml
new file mode 100644
index 000000000..ac0b8a642
--- /dev/null
+++ b/tests/test_v1_yaml/version_selshaurl.yaml
@@ -0,0 +1,51 @@
+# yaml-language-server: $schema=https://raw.githubusercontent.com/prefix-dev/recipe-format/main/schema.json
+schema_version: 1
+
+context:
+  name: embree
+  version: 2.14.0
+
+package:
+  name: ${{ name }}
+  version: ${{ version }}
+
+source:
+  - if: linux
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x86_64.linux.tar.gz
+        sha256: 8cca2d7ef6e3f18668246c9eed609e03e720e4033d069164c991c5feb078443c
+        file_name: ${{ name }}-${{ version }}.tar.gz
+  - if: osx
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x86_64.macosx.tar.gz
+        sha256: f6113506bab9430f98773b0ab7776efe387f4d40c8785d8f8c427a91c36f4cfe
+        file_name: ${{ name }}-${{ version }}.tar.gz
+  - if: win
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x64.vc14.windows.zip
+        sha256: 6432449254f56b037f17d876403f919f6c136cc16ec91f7778001b10eea115ac
+        file_name: ${{ name }}-${{ version }}.zip
+
+build:
+  number: 100
+  prefix_detection:
+    ignore_binary_files: true
+  script:
+    - mkdir doc
+    - touch doc/LICENSE.txt
+
+requirements:
+  build:
+    - if: win
+      then: python
+
+about:
+  license: Apache-2.0
+  license_file: doc/LICENSE.txt
+  summary: High Performance Ray Tracing Kernels
+  homepage: https://embree.github.io/
+
+extra:
+  recipe-maintainers:
+    - scopatz
+    - Xarthisius
diff --git a/tests/test_v1_yaml/version_selshaurl_correct.yaml b/tests/test_v1_yaml/version_selshaurl_correct.yaml
new file mode 100644
index 000000000..02d75f28c
--- /dev/null
+++ b/tests/test_v1_yaml/version_selshaurl_correct.yaml
@@ -0,0 +1,51 @@
+# yaml-language-server: $schema=https://raw.githubusercontent.com/prefix-dev/recipe-format/main/schema.json
+schema_version: 1
+
+context:
+  name: embree
+  version: "3.7.0"
+
+package:
+  name: ${{ name }}
+  version: ${{ version }}
+
+source:
+  - if: linux
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x86_64.linux.tar.gz
+        sha256: 671a3aa7cc1c8501f1290dd051b42a337a692ea6552a07436779439d649e3e29
+        file_name: ${{ name }}-${{ version }}.tar.gz
+  - if: osx
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x86_64.macosx.zip
+        sha256: 17c31f67efb9afc3ed658fcaa5886bc10c6f67f1e364d6494e494d189d8b8c70
+        file_name: ${{ name }}-${{ version }}.tar.gz
+  - if: win
+    then:
+      - url: https://github.com/${{ name }}/${{ name }}/releases/download/v${{ version }}/${{ name }}-${{ version }}.x64.vc14.windows.zip
+        sha256: 442c8933fa3a21d66c0459ded83e1a4c896b1a26c4e46ea62e65ffbfec273be2
+        file_name: ${{ name }}-${{ version }}.zip
+
+build:
+  number: 0
+  prefix_detection:
+    ignore_binary_files: true
+  script:
+    - mkdir doc
+    - touch doc/LICENSE.txt
+
+requirements:
+  build:
+    - if: win
+      then: python
+
+about:
+  license: Apache-2.0
+  license_file: doc/LICENSE.txt
+  summary: High Performance Ray Tracing Kernels
+  homepage: https://embree.github.io/
+
+extra:
+  recipe-maintainers:
+    - scopatz
+    - Xarthisius
diff --git a/tests/test_version_migrator.py b/tests/test_version_migrator.py
index 8cdc97ab5..7af900a01 100644
--- a/tests/test_version_migrator.py
+++ b/tests/test_version_migrator.py
@@ -12,7 +12,8 @@
 
 VERSION = Version(set())
 
-YAML_PATH = os.path.join(os.path.dirname(__file__), "test_yaml")
+YAML_PATH = Path(__file__).parent / "test_yaml"
+YAML_V1_PATH = Path(__file__).parent / "test_v1_yaml"
 
 VARIANT_SOURCES_NOT_IMPLEMENTED = (
     "Sources that depend on conda build config variants are not supported yet."
@@ -92,11 +93,51 @@ def test_version_up(case, new_ver, tmpdir, caplog):
         logger="conda_forge_tick.migrators.version",
     )
 
-    with open(os.path.join(YAML_PATH, "version_%s.yaml" % case)) as fp:
-        in_yaml = fp.read()
+    in_yaml = (YAML_PATH / f"version_{case}.yaml").read_text()
+    out_yaml = (YAML_PATH / f"version_{case}_correct.yaml").read_text()
 
-    with open(os.path.join(YAML_PATH, "version_%s_correct.yaml" % case)) as fp:
-        out_yaml = fp.read()
+    kwargs = {"new_version": new_ver}
+    if case == "sha1":
+        kwargs["hash_type"] = "sha1"
+
+    run_test_migration(
+        m=VERSION,
+        inp=in_yaml,
+        output=out_yaml,
+        kwargs=kwargs,
+        prb="Dependencies have been updated if changed",
+        mr_out={
+            "migrator_name": Version.name,
+            "migrator_version": Version.migrator_version,
+            "version": new_ver,
+        },
+        tmpdir=tmpdir,
+    )
+
+
+@pytest.mark.parametrize(
+    "case,new_ver",
+    [
+        ("pypi_url", "0.7.1"),
+        ("jolt", "5.2.0"),
+        ("build_number_via_context", "0.20.1"),
+        ("build_as_expr", "3.6.2"),
+        ("conditional_sources", "3.24.11"),
+        ("cranmirror", "0.3.3"),
+        ("event_stream", "1.6.3"),
+        ("selshaurl", "3.7.0"),
+        ("libssh", "0.11.1"),
+    ],
+)
+@flaky
+def test_version_up_v1(case, new_ver, tmpdir, caplog):
+    caplog.set_level(
+        logging.DEBUG,
+        logger="conda_forge_tick.migrators.version",
+    )
+
+    in_yaml = (YAML_V1_PATH / f"version_{case}.yaml").read_text()
+    out_yaml = (YAML_V1_PATH / f"version_{case}_correct.yaml").read_text()
 
     kwargs = {"new_version": new_ver}
     if case == "sha1":
@@ -114,6 +155,7 @@ def test_version_up(case, new_ver, tmpdir, caplog):
             "version": new_ver,
         },
         tmpdir=tmpdir,
+        recipe_version=1,
     )
 
 
diff --git a/tests/test_yaml/stdlib_rucio-clients_after_meta.yaml b/tests/test_yaml/stdlib_rucio-clients_after_meta.yaml
index 729581d3c..c3a891e18 100644
--- a/tests/test_yaml/stdlib_rucio-clients_after_meta.yaml
+++ b/tests/test_yaml/stdlib_rucio-clients_after_meta.yaml
@@ -7,7 +7,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_') }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('-', '_') }}-{{ version }}.tar.gz
   sha256: 92229d097012be2347266a633c655b46ca66ead0628becfa506ee6c4a9b38057
 
 build:
diff --git a/tests/test_yaml/stdlib_rucio-clients_before_meta.yaml b/tests/test_yaml/stdlib_rucio-clients_before_meta.yaml
index f5dd35ec0..78923a16f 100644
--- a/tests/test_yaml/stdlib_rucio-clients_before_meta.yaml
+++ b/tests/test_yaml/stdlib_rucio-clients_before_meta.yaml
@@ -7,7 +7,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_') }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('-', '_') }}-{{ version }}.tar.gz
   sha256: c3fdaae0beb3ac10d82337d29cd5260c49bbb0f942d443bec6e997c51af74c0d
 
 build:
diff --git a/tests/test_yaml/version_21cmfast_correct.yaml b/tests/test_yaml/version_21cmfast_correct.yaml
index 53d114817..377337f48 100644
--- a/tests/test_yaml/version_21cmfast_correct.yaml
+++ b/tests/test_yaml/version_21cmfast_correct.yaml
@@ -6,7 +6,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.lower() }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | lower }}-{{ version }}.tar.gz
   sha256: aff3b5a2adb30ad9a6c2274461901686606e9fdb5e3ff7040cbdf22755d7469f
 
 
diff --git a/tests/test_yaml/version_dash_extensions_correct.yaml b/tests/test_yaml/version_dash_extensions_correct.yaml
index d35994137..8b4be34a1 100644
--- a/tests/test_yaml/version_dash_extensions_correct.yaml
+++ b/tests/test_yaml/version_dash_extensions_correct.yaml
@@ -7,7 +7,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_') }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('-', '_') }}-{{ version }}.tar.gz
   sha256: b36fcf6fd74d87cafdbabc9568c3ae0097712ccee8f7d59be8e916b51d40b106
 
 build:
diff --git a/tests/test_yaml/version_pypiurl_correct.yaml b/tests/test_yaml/version_pypiurl_correct.yaml
index bc78fb394..97641ffc1 100644
--- a/tests/test_yaml/version_pypiurl_correct.yaml
+++ b/tests/test_yaml/version_pypiurl_correct.yaml
@@ -6,7 +6,7 @@ package:
   version: "{{ version }}"
 
 source:
-  url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('_', '-') }}-{{ version }}.tar.gz"
+  url: "https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('_', '-') }}-{{ version }}.tar.gz"
   sha256: f3fe3f89011899b82451669cf1dbe4978523b8ac0f62c9c116429876fe8b6be8
 
 build:
diff --git a/tests/test_yaml/version_pyrsmq_correct.yaml b/tests/test_yaml/version_pyrsmq_correct.yaml
index 8dfccc9fb..a48dc77cf 100644
--- a/tests/test_yaml/version_pyrsmq_correct.yaml
+++ b/tests/test_yaml/version_pyrsmq_correct.yaml
@@ -6,7 +6,7 @@ package:
   version: "{{ version }}"
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.lower() }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | lower }}-{{ version }}.tar.gz
   sha256: dd1f8467e541935489be018dbb0ba1df8b903eb855bf1725947ceee41df92fa4
 
 build:
diff --git a/tests/test_yaml/version_quart_trio_correct.yaml b/tests/test_yaml/version_quart_trio_correct.yaml
index ee3795746..eadfc14d2 100644
--- a/tests/test_yaml/version_quart_trio_correct.yaml
+++ b/tests/test_yaml/version_quart_trio_correct.yaml
@@ -6,7 +6,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_').lower() }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('-', '_') | lower }}-{{ version }}.tar.gz
   sha256: 149c9c65c2faafdf455a4461b600e1983b71e593b6f8c8b91b592bbda36cea98
 
 build:
diff --git a/tests/test_yaml/version_riskfolio_lib_correct.yaml b/tests/test_yaml/version_riskfolio_lib_correct.yaml
index 548723d3c..893920bc4 100644
--- a/tests/test_yaml/version_riskfolio_lib_correct.yaml
+++ b/tests/test_yaml/version_riskfolio_lib_correct.yaml
@@ -6,7 +6,7 @@ package:
   version: {{ version }}
 
 source:
-  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name.replace('-', '_').lower() }}-{{ version }}.tar.gz
+  url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name | replace('-', '_') | lower }}-{{ version }}.tar.gz
   sha256: 1048655b53a714ac045e756215275a302ae5c5816f3c73459b26056b054dbb46
   patches:
     - devendor-eigen-spectra.patch