mirrors/uv
1
0
Fork 0
mirror of https://github.com/astral-sh/uv.git synced 2025-11-24 21:29:49 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 3

Prune unreachable packages from lockfile (#6959)

Browse source 
In transformers, we have:

* `tensorflow-text`: `tensorflow-macos; python_full_version >= '3.13'
and platform_machine == 'arm64' and platform_system == 'Darwin'`
* `tensorflow-macos`: `tensorflow-cpu-aws; (python_full_version < '3.10'
and platform_machine == 'aarch64' and platform_system == 'Linux') or
(python_full_version >= '3.13' and platform_machine == 'aarch64' and
platform_system == 'Linux') or (python_full_version >= '3.13' and
platform_machine == 'arm64' and platform_system == 'Linux')`
* `tensorflow-macos`: `tensorflow-intel; python_full_version >= '3.13'
and platform_system == 'Windows'`

This means that `tensorflow-cpu-aws` and `tensorflow-intel` can never be
installed, and we can drop them from the lockfile.
This commit is contained in:
konsti 2024-09-04 10:57:42 +02:00 • committed by GitHub
parent 3d75df6ab2
commit b9f2bd155a
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 118 additions and 79 deletions
Download patch file Download diff file Expand all files Collapse all files

20
crates/uv-resolver/src/lock/mod.rs
View file

@ -11,6 +11,7 @@ use itertools::Itertools;
use petgraph::visit::EdgeRef; use petgraph::visit::EdgeRef;
use rustc_hash::{FxHashMap, FxHashSet}; use rustc_hash::{FxHashMap, FxHashSet};
use toml_edit::{value, Array, ArrayOfTables, InlineTable, Item, Table, Value}; use toml_edit::{value, Array, ArrayOfTables, InlineTable, Item, Table, Value};
use tracing::debug;
use url::Url; use url::Url;
use cache_key::RepositoryUrl; use cache_key::RepositoryUrl;
@ -94,6 +95,10 @@ impl Lock {
if !dist.is_base() { if !dist.is_base() {
continue; continue;
} }
if graph.reachability[&node_index].is_false() {
debug!("Removing unreachable package: `{}`", dist.package_id());
continue;
}
let fork_markers = graph let fork_markers = graph
.fork_markers(dist.name(), &dist.version, dist.dist.version_or_url().url()) .fork_markers(dist.name(), &dist.version, dist.dist.version_or_url().url())
.cloned() .cloned()
@ -108,6 +113,10 @@ impl Lock {
else { else {
continue; continue;
}; };
// Prune edges leading to unreachable nodes.
if graph.reachability[&edge.target()].is_false() {
continue;
}
let marker = edge.weight().clone(); let marker = edge.weight().clone();
package.add_dependency(&requires_python, dependency_dist, marker, root)?; package.add_dependency(&requires_python, dependency_dist, marker, root)?;
} }
@ -126,6 +135,9 @@ impl Lock {
let ResolutionGraphNode::Dist(dist) = &graph.petgraph[node_index] else { let ResolutionGraphNode::Dist(dist) = &graph.petgraph[node_index] else {
continue; continue;
}; };
if graph.reachability[&node_index].is_false() {
continue;
}
if let Some(extra) = dist.extra.as_ref() { if let Some(extra) = dist.extra.as_ref() {
let id = PackageId::from_annotated_dist(dist, root)?; let id = PackageId::from_annotated_dist(dist, root)?;
let Some(package) = packages.get_mut(&id) else { let Some(package) = packages.get_mut(&id) else {
@ -140,6 +152,10 @@ impl Lock {
else { else {
continue; continue;
}; };
// Prune edges leading to unreachable nodes.
if graph.reachability[&edge.target()].is_false() {
continue;
}
let marker = edge.weight().clone(); let marker = edge.weight().clone();
package.add_optional_dependency( package.add_optional_dependency(
&requires_python, &requires_python,
@ -164,6 +180,10 @@ impl Lock {
else { else {
continue; continue;
}; };
// Prune edges leading to unreachable nodes.
if graph.reachability[&edge.target()].is_false() {
continue;
}
let marker = edge.weight().clone(); let marker = edge.weight().clone();
package.add_dev_dependency( package.add_dev_dependency(
&requires_python, &requires_python,

105
crates/uv-resolver/src/resolution/graph.rs
View file

@ -1,17 +1,20 @@
use indexmap::IndexSet;
use petgraph::{
graph::{Graph, NodeIndex},
Directed, Direction,
};
use rustc_hash::{FxBuildHasher, FxHashMap, FxHashSet};
use distribution_types::{ use distribution_types::{
Dist, DistributionMetadata, Name, ResolutionDiagnostic, ResolvedDist, VersionId, Dist, DistributionMetadata, Name, ResolutionDiagnostic, ResolvedDist, VersionId,
VersionOrUrlRef, VersionOrUrlRef,
}; };
use indexmap::IndexSet;
use pep440_rs::{Version, VersionSpecifier}; use pep440_rs::{Version, VersionSpecifier};
use pep508_rs::{MarkerEnvironment, MarkerTree, MarkerTreeKind, VerbatimUrl}; use pep508_rs::{MarkerEnvironment, MarkerTree, MarkerTreeKind, VerbatimUrl};
use petgraph::prelude::EdgeRef;
use petgraph::{
graph::{Graph, NodeIndex},
Directed, Direction,
};
use pypi_types::{HashDigest, ParsedUrlError, Requirement, VerbatimParsedUrl, Yanked}; use pypi_types::{HashDigest, ParsedUrlError, Requirement, VerbatimParsedUrl, Yanked};
use rustc_hash::{FxBuildHasher, FxHashMap, FxHashSet};
use std::collections::hash_map::Entry;
use std::collections::HashMap;
use std::fmt::{Display, Formatter};
use uv_configuration::{Constraints, Overrides}; use uv_configuration::{Constraints, Overrides};
use uv_distribution::Metadata; use uv_distribution::Metadata;
use uv_git::GitResolver; use uv_git::GitResolver;
@ -54,6 +57,8 @@ pub struct ResolutionGraph {
/// If there are multiple options for a package, track which fork they belong to so we /// If there are multiple options for a package, track which fork they belong to so we
/// can write that to the lockfile and later get the correct preference per fork back. /// can write that to the lockfile and later get the correct preference per fork back.
pub(crate) package_markers: FxHashMap<PackageName, MarkersForDistribution>, pub(crate) package_markers: FxHashMap<PackageName, MarkersForDistribution>,
/// The markers under which a package is reachable in the dependency tree.
pub(crate) reachability: FxHashMap<NodeIndex, MarkerTree>,
} }
#[derive(Debug)] #[derive(Debug)]
@ -62,6 +67,15 @@ pub(crate) enum ResolutionGraphNode {
Dist(AnnotatedDist), Dist(AnnotatedDist),
} }
impl Display for ResolutionGraphNode {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
match self {
ResolutionGraphNode::Root => f.write_str("root"),
ResolutionGraphNode::Dist(dist) => Display::fmt(dist, f),
}
}
}
#[derive(Eq, PartialEq, Hash)] #[derive(Eq, PartialEq, Hash)]
struct PackageRef<'a> { struct PackageRef<'a> {
package_name: &'a PackageName, package_name: &'a PackageName,
@ -197,6 +211,8 @@ impl ResolutionGraph {
.collect() .collect()
}; };
let reachability = Self::reachability(&petgraph, &fork_markers);
if matches!(resolution_strategy, ResolutionStrategy::Lowest) { if matches!(resolution_strategy, ResolutionStrategy::Lowest) {
report_missing_lower_bounds(&petgraph, &mut diagnostics); report_missing_lower_bounds(&petgraph, &mut diagnostics);
} }
@ -211,9 +227,84 @@ impl ResolutionGraph {
overrides: overrides.clone(), overrides: overrides.clone(),
options, options,
fork_markers, fork_markers,
reachability,
}) })
} }
/// Determine the markers under which a package is reachable in the dependency tree.
///
/// The algorithm is a variant of Dijkstra's algorithm for not totally ordered distances:
/// Whenever we find a shorter distance to a node (a marker that is not a subset of the existing
/// marker), we re-queue the node and update all its children. This implicitly handles cycles,
/// whenever we re-reach a node through a cycle the marker we have is a more
/// specific marker/longer path, so we don't update the node and don't re-queue it.
fn reachability(
petgraph: &Graph<ResolutionGraphNode, MarkerTree>,
fork_markers: &[MarkerTree],
) -> HashMap<NodeIndex, MarkerTree, FxBuildHasher> {
// Note that we build including the virtual packages due to how we propagate markers through
// the graph, even though we then only read the markers for base packages.
let mut reachability = FxHashMap::default();
// Collect the root nodes.
//
// Besides the actual virtual root node, virtual dev dependencies packages are also root
// nodes since the edges don't cover dev dependencies.
let mut queue: Vec<_> = petgraph
.node_indices()
.filter(|node_index| {
petgraph
.edges_directed(*node_index, Direction::Incoming)
.next()
.is_none()
})
.collect();
// The root nodes are always applicable, unless the user has restricted resolver
// environments with `tool.uv.environments`.
let root_markers: MarkerTree = if fork_markers.is_empty() {
MarkerTree::TRUE
} else {
fork_markers
.iter()
.fold(MarkerTree::FALSE, |mut acc, marker| {
acc.or(marker.clone());
acc
})
};
for root_index in &queue {
reachability.insert(*root_index, root_markers.clone());
}
// Propagate all markers through the graph, so that the eventual marker for each node is the
// union of the markers of each path we can reach the node by.
while let Some(parent_index) = queue.pop() {
let marker = reachability[&parent_index].clone();
for child_edge in petgraph.edges_directed(parent_index, Direction::Outgoing) {
// The marker for all paths to the child through the parent.
let mut child_marker = child_edge.weight().clone();
child_marker.and(marker.clone());
match reachability.entry(child_edge.target()) {
Entry::Occupied(mut existing) => {
// If the marker is a subset of the existing marker (A ⊆ B exactly if
// A ∪ B = A), updating the child wouldn't change child's marker.
child_marker.or(existing.get().clone());
if &child_marker != existing.get() {
existing.insert(child_marker);
queue.push(child_edge.target());
}
}
Entry::Vacant(vacant) => {
vacant.insert(child_marker.clone());
queue.push(child_edge.target());
}
}
}
}
reachability
}
fn add_edge( fn add_edge(
petgraph: &mut Graph<ResolutionGraphNode, MarkerTree>, petgraph: &mut Graph<ResolutionGraphNode, MarkerTree>,
inverse: &mut FxHashMap<PackageRef<'_>, NodeIndex>, inverse: &mut FxHashMap<PackageRef<'_>, NodeIndex>,

72
crates/uv/tests/snapshots/ecosystem__transformers-lock-file.snap
View file

@ -4793,40 +4793,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/bd/cb/1358e60835aad684311cfab10e36375c09a8a627ed22f357ddc9f0556ca3/tensorflow_cpu-2.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:951d78693b61239464bee5ae9c20b6c845d82ae0a2092ee5abebb96b5e2db02e", size = 2133 }, { url = "https://files.pythonhosted.org/packages/bd/cb/1358e60835aad684311cfab10e36375c09a8a627ed22f357ddc9f0556ca3/tensorflow_cpu-2.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:951d78693b61239464bee5ae9c20b6c845d82ae0a2092ee5abebb96b5e2db02e", size = 2133 },
] ]
[[package]]
name = "tensorflow-cpu-aws"
version = "2.15.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "absl-py", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "astunparse", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "flatbuffers", version = "24.3.25", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "gast", version = "0.6.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "google-pasta", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "grpcio", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "h5py", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "keras", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "libclang", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "ml-dtypes", version = "0.3.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "numpy", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "opt-einsum", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "packaging", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "protobuf", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "setuptools", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "six", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "tensorboard", version = "2.15.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "tensorflow-estimator", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "tensorflow-io-gcs-filesystem", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "termcolor", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "typing-extensions", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
{ name = "wrapt", marker = "python_full_version >= '3.13' and platform_system != 'Darwin'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/f4/9c/74e7c37e2de31fb5ada8f3a166ceedacdb99fc9bcd88f606ec97bfc2b22e/tensorflow_cpu_aws-2.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c781d95cb8c58d47cb012b7b4e77b2f3e8d4d47b45926bc54976506fa0c037cc", size = 211831219 },
{ url = "https://files.pythonhosted.org/packages/06/d5/05cd02db299821fd68ef5f8857506c21aeeddd024daf519d8643f0260952/tensorflow_cpu_aws-2.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d4c3a3a9363bf42999adedbbd514e3a133be2d62f61fee9cfa46aaefb087c09e", size = 211874120 },
{ url = "https://files.pythonhosted.org/packages/e0/b2/44b4492303ea458f1c97d1c5ebd412dd799827f6fafd7938dd45be8f70a6/tensorflow_cpu_aws-2.15.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9a25f2b9da4740074fdd89bd2a4cf280a9d40b1d26a973ef079e6673c1bf7de", size = 211831639 },
]
[[package]] [[package]]
name = "tensorflow-estimator" name = "tensorflow-estimator"
version = "2.7.0" version = "2.7.0"
@ -4876,40 +4842,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/e5/50/00dba77925bf2a0a1e45d7bcf8a69a1d2534fb4bb277d9010bd148d2235e/tensorflow_hub-0.16.1-py2.py3-none-any.whl", hash = "sha256:e10c184b3d08daeafada11ffea2dd46781725b6bef01fad1f74d6634ad05311f", size = 30771 }, { url = "https://files.pythonhosted.org/packages/e5/50/00dba77925bf2a0a1e45d7bcf8a69a1d2534fb4bb277d9010bd148d2235e/tensorflow_hub-0.16.1-py2.py3-none-any.whl", hash = "sha256:e10c184b3d08daeafada11ffea2dd46781725b6bef01fad1f74d6634ad05311f", size = 30771 },
] ]
[[package]]
name = "tensorflow-intel"
version = "2.15.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "absl-py", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "astunparse", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "flatbuffers", version = "24.3.25", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "gast", version = "0.6.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "google-pasta", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "grpcio", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "h5py", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "keras", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "libclang", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "ml-dtypes", version = "0.3.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "numpy", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "opt-einsum", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "packaging", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "protobuf", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "setuptools", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "six", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "tensorboard", version = "2.15.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "tensorflow-estimator", version = "2.15.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "tensorflow-io-gcs-filesystem", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "termcolor", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "typing-extensions", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
{ name = "wrapt", marker = "(python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_system != 'Darwin') or (python_full_version >= '3.13' and platform_system != 'Darwin' and platform_system != 'Linux')" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/02/13/681487f4f5241d8213fbf3f8940988054d97e213fcc3390921682dfc691f/tensorflow_intel-2.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:9f305142b3c5e239c82c463429b1f88726dd27d9f23523871f825493a9ffc5f4", size = 300872148 },
{ url = "https://files.pythonhosted.org/packages/90/32/d0ec8fe173e8e1c38cd13d23d640c46232d211fbd6f3485d17a1950f3c38/tensorflow_intel-2.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:4f05059493f8203285ac5cea3b1955887a7903c1ca6f7a29e4b6ef912b1f934b", size = 300918101 },
{ url = "https://files.pythonhosted.org/packages/a9/61/c746e82becb7f14aac327220d5dd1a086b94b605cfab24b3e5991fa26cdf/tensorflow_intel-2.15.1-cp39-cp39-win_amd64.whl", hash = "sha256:921f18f7eb9cf59769e9668b3935fe178c990e2973d8013870dae5e3b58de079", size = 300800813 },
]
[[package]] [[package]]
name = "tensorflow-io-gcs-filesystem" name = "tensorflow-io-gcs-filesystem"
version = "0.37.1" version = "0.37.1"
@ -4937,10 +4869,6 @@ wheels = [
name = "tensorflow-macos" name = "tensorflow-macos"
version = "2.15.1" version = "2.15.1"
source = { registry = "https://pypi.org/simple" } source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "tensorflow-cpu-aws", marker = "(python_full_version >= '3.13' and platform_machine == 'aarch64' and platform_system == 'Linux') or (python_full_version >= '3.13' and platform_machine == 'arm64' and platform_system == 'Linux')" },
{ name = "tensorflow-intel", marker = "python_full_version >= '3.13' and platform_system == 'Windows'" },
]
wheels = [ wheels = [
{ url = "https://files.pythonhosted.org/packages/b3/c8/b90dc41b1eefc2894801a120cf268b1f25440981fcf966fb055febce8348/tensorflow_macos-2.15.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:b8f01d7615fe4ff3b15a12f84471bd5344fed187543c4a091da3ddca51b6dc26", size = 2158 }, { url = "https://files.pythonhosted.org/packages/b3/c8/b90dc41b1eefc2894801a120cf268b1f25440981fcf966fb055febce8348/tensorflow_macos-2.15.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:b8f01d7615fe4ff3b15a12f84471bd5344fed187543c4a091da3ddca51b6dc26", size = 2158 },
{ url = "https://files.pythonhosted.org/packages/bc/11/b73387ad260614ec43c313a630d14fe5522455084abc207fce864aaa3d73/tensorflow_macos-2.15.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:58fca6399665f19e599c591c421672d9bc8b705409d43ececd0931d1d3bc6a7e", size = 2159 }, { url = "https://files.pythonhosted.org/packages/bc/11/b73387ad260614ec43c313a630d14fe5522455084abc207fce864aaa3d73/tensorflow_macos-2.15.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:58fca6399665f19e599c591c421672d9bc8b705409d43ececd0931d1d3bc6a7e", size = 2159 },