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main.py
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import bisect
import copy
import fnmatch
import json
import os
from os.path import dirname, isdir, isfile, join
import re
import sys
from collections import defaultdict
from pathlib import Path
from conda.models.version import VersionOrder
import requests
CHANNEL_NAME = "main"
CHANNEL_ALIAS = "https://repo.anaconda.com/pkgs"
SUBDIRS = (
"noarch",
"linux-32",
"linux-64",
"linux-aarch64",
"linux-armv6l",
"linux-armv7l",
"linux-ppc64le",
"linux-s390x",
"osx-64",
"osx-arm64",
"win-32",
"win-64",
)
REMOVALS = {
"noarch": (),
"linux-ppc64le": [
# This build contains incorrect libffi run depends; removing rather
# than patching to prevent solver from getting stuck in a bistable
# solution (since another build has the same set of requirements).
"cffi-1.14.6-py36h140841e_0.tar.bz2",
"cffi-1.14.6-py37h140841e_0.tar.bz2",
"cffi-1.14.6-py38h140841e_0.tar.bz2",
"cffi-1.14.6-py39h140841e_0.tar.bz2",
],
"osx-64": [
# qt 5.9.7 accidentially added .conda. to the dylibs names
"qt-5.9.7-h468cd18_0.tar.bz2",
# This build contains incorrect libffi run depends; removing rather
# than patching to prevent solver from getting stuck in a bistable
# solution (since another build has the same set of requirements).
"cffi-1.14.6-py36h9ed2024_0.tar.bz2",
"cffi-1.14.6-py37h9ed2024_0.tar.bz2",
"cffi-1.14.6-py38h9ed2024_0.tar.bz2",
"cffi-1.14.6-py39h9ed2024_0.tar.bz2",
],
"win-32": [
"nomkl-*",
# This release/build breaks matplotlib and possibly other things well
"freetype-2.11.0-h88da6cb_0.tar.bz2",
],
"win-64": [
"nomkl-*",
# numba 0.46 didn't actually support py38
"numba-0.46.0-py38hf9181ef_0.tar.bz2",
# This release/build breaks matplotlib and possibly other things well
"freetype-2.11.0-ha860e81_0.tar.bz2",
],
"linux-64": [
"numba-0.46.0-py38h962f231_0.tar.bz2",
# This build contains incorrect libffi run depends; removing rather
# than patching to prevent solver from getting stuck in a bistable
# solution (since another build has the same set of requirements).
"cffi-1.14.6-py36h7f8727e_0.tar.bz2",
"cffi-1.14.6-py37h7f8727e_0.tar.bz2",
"cffi-1.14.6-py38h7f8727e_0.tar.bz2",
"cffi-1.14.6-py39h7f8727e_0.tar.bz2",
],
"any": {
# early efforts on splitting numpy recipe did not pin numpy-base exactly.
# These led to bad builds (built against newest numpy)
"numpy-*1.11.3-*_6.tar.bz2",
"numpy-*1.14.3-*_2.tar.bz2",
# missing blas deps that make solver able to choose wrong things.
# numpy-base is pinned exactly, but this effectively defeated the
# variant being able to distinguish between openblas and mkl.
"numpy-1.14.5-py35h28100ab_0.tar.bz2",
# early vs2017 packages used wrong version numbers
"vs2017_win-*-15.5.2*",
"vs2017*h590f102_0*",
"vs2017*hb4ce483_0*",
# libtiff has incorrect build number and incorrect requirements
"libtiff-4.0.10-*_1001.tar.bz2",
# incorrect requirements leading to import failures
"libarchive-3.3.3-*_0",
# cph 1.5.0 replaces \r\n in files with \n on windows but does not
# truncate the file. This results in corrupt packages.
"conda-package-handling-1.5.0*",
# segfaults in 2019.5 that need work to understand. To be restored soon.
"mkl*-2019.5*",
"daal*-2019.5*",
"intel-openmp*-2019.5*",
# missing dependencies
"numpy-devel-1.14.3*",
# anaconda-client<1.10.0 is incompatible with python 3.10
"anaconda-client-1.9.0-py310*",
# navigator-updater=0.5.0 is incompatible with anaconda-navigator
"navigator-updater-0.5.0-*"
},
}
REVOKED = {
"linux-64": [
# build _0 were built against an invalid CuDNN library version
"tensorflow-base-1.9.0-gpu_py35h9f529ab_0.tar.bz2",
"tensorflow-base-1.9.0-gpu_py36h9f529ab_0.tar.bz2",
"tensorflow-base-1.9.0-gpu_py27h9f529ab_0.tar.bz2",
# compilers with wrong dependencies (missing impl)
"g*_linux-64-7.2.0-24.tar.bz2",
],
"linux-32": [
# build _0 were built against an invalid CuDNN library version
"tensorflow-base-1.9.0-gpu_py35h9f529ab_0.tar.bz2",
"tensorflow-base-1.9.0-gpu_py36h9f529ab_0.tar.bz2",
"tensorflow-base-1.9.0-gpu_py27h9f529ab_0.tar.bz2",
# compilers with wrong dependencies (missing impl)
"g*_linux-32-7.2.0-24.tar.bz2",
],
"linux-ppc64le": [],
"osx-64": [
# this build statically links libxml2-with-icu but doesn't statically
# link icu. xref: https://github.com/AnacondaRecipes/aggregate/issues/10
"xar-1.6.1-hd3d9906_0.tar.bz2",
# doesn't specify dependency on openssl, whereas it should
"libssh2 1.8.0 h1218725_2",
],
"win-32": [
"spyder-kernels-1.0.1-*_0",
],
"win-64": [
"spyder-kernels-1.0.1-*_0",
],
"any": [
# Packages with bad shortcuts that can cause installers
# and uninstallers to break under certain circumstances.
"anaconda-navigator-2.6.0-*_1.*",
"anaconda-navigator-2.6.1-*_1.*",
"git-2.40.1-*_2.*",
"git-2.40.1-*_3.*",
"notebook-7.0.8-*_1.*",
"spyder-5.5.1-*_1.*",
"spyder-5.5.1-*_2.*",
# anaconda-cli-base-0.4.1 build number 0 has missing run_constrained requirements
"anaconda-cli-base-0.4.1-*_0.*",
],
}
# This is a list of numpy-base packages for each subdir which multiple numpy
# packages depend on. Since multiple numpy packages depend on these the
# constrain entry added to them should be to the numpy version not the version
# and build as the later would make some numpy packages un-installable.
NP_BASE_LOOSE_PIN = {
"linux-64": [
"numpy-base-1.11.3-py27h2b20989_8.tar.bz2",
"numpy-base-1.11.3-py27hdbf6ddf_8.tar.bz2",
"numpy-base-1.11.3-py36h2b20989_8.tar.bz2",
"numpy-base-1.11.3-py36hdbf6ddf_8.tar.bz2",
"numpy-base-1.11.3-py37h2b20989_8.tar.bz2",
"numpy-base-1.11.3-py37hdbf6ddf_8.tar.bz2",
"numpy-base-1.15.1-py27h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py27h81de0dd_0.tar.bz2",
"numpy-base-1.15.1-py35h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py35h81de0dd_0.tar.bz2",
"numpy-base-1.15.1-py36h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py36h81de0dd_0.tar.bz2",
"numpy-base-1.15.1-py37h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py37h81de0dd_0.tar.bz2",
"numpy-base-1.9.3-py27h2b20989_7.tar.bz2",
"numpy-base-1.9.3-py27hdbf6ddf_7.tar.bz2",
"numpy-base-1.9.3-py35h2b20989_7.tar.bz2",
"numpy-base-1.9.3-py35hdbf6ddf_7.tar.bz2",
"numpy-base-1.9.3-py36h2b20989_7.tar.bz2",
"numpy-base-1.9.3-py36hdbf6ddf_7.tar.bz2",
"numpy-base-1.9.3-py37h2b20989_7.tar.bz2",
"numpy-base-1.9.3-py37hdbf6ddf_7.tar.bz2",
],
"osx-64": [
"numpy-base-1.11.3-py27h9797aa9_8.tar.bz2",
"numpy-base-1.11.3-py27ha9ae307_8.tar.bz2",
"numpy-base-1.11.3-py36h9797aa9_8.tar.bz2",
"numpy-base-1.11.3-py36ha9ae307_8.tar.bz2",
"numpy-base-1.11.3-py37h9797aa9_8.tar.bz2",
"numpy-base-1.11.3-py37ha9ae307_8.tar.bz2",
"numpy-base-1.15.1-py27h42e5f7b_0.tar.bz2",
"numpy-base-1.15.1-py27h8a80b8c_0.tar.bz2",
"numpy-base-1.15.1-py35h42e5f7b_0.tar.bz2",
"numpy-base-1.15.1-py35h8a80b8c_0.tar.bz2",
"numpy-base-1.15.1-py36h42e5f7b_0.tar.bz2",
"numpy-base-1.15.1-py36h8a80b8c_0.tar.bz2",
"numpy-base-1.15.1-py37h42e5f7b_0.tar.bz2",
"numpy-base-1.15.1-py37h8a80b8c_0.tar.bz2",
"numpy-base-1.9.3-py27h9797aa9_7.tar.bz2",
"numpy-base-1.9.3-py27ha9ae307_7.tar.bz2",
"numpy-base-1.9.3-py35h9797aa9_7.tar.bz2",
"numpy-base-1.9.3-py35ha9ae307_7.tar.bz2",
"numpy-base-1.9.3-py36h9797aa9_7.tar.bz2",
"numpy-base-1.9.3-py36ha9ae307_7.tar.bz2",
"numpy-base-1.9.3-py37h9797aa9_7.tar.bz2",
"numpy-base-1.9.3-py37ha9ae307_7.tar.bz2",
],
"win-64": [
"numpy-base-1.15.1-py27h2753ae9_0.tar.bz2",
"numpy-base-1.15.1-py35h8128ebf_0.tar.bz2",
"numpy-base-1.15.1-py36h8128ebf_0.tar.bz2",
"numpy-base-1.15.1-py37h8128ebf_0.tar.bz2",
],
"win-32": [
"numpy-base-1.15.1-py27h2753ae9_0.tar.bz2",
"numpy-base-1.15.1-py35h8128ebf_0.tar.bz2",
"numpy-base-1.15.1-py36h8128ebf_0.tar.bz2",
"numpy-base-1.15.1-py37h8128ebf_0.tar.bz2",
],
"linux-ppc64le": [
"numpy-base-1.11.3-py27h2b20989_8.tar.bz2",
"numpy-base-1.11.3-py36h2b20989_8.tar.bz2",
"numpy-base-1.15.1-py27h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py35h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py36h74e8950_0.tar.bz2",
"numpy-base-1.15.1-py37h74e8950_0.tar.bz2",
],
"noarch": [],
"linux-32": [],
"linux-aarch64": [],
"linux-armv6l": [],
"linux-armv7l": [],
"linux-s390x": [],
"osx-arm64": [],
}
BLAS_USING_PKGS = {
"numpy",
"numpy-base",
"scipy",
"numexpr",
"scikit-learn",
"libmxnet",
}
TFLOW_SUBS = {
# 1.8.0, eigen is the default variant
"_tflow_180_select ==1.0 gpu": "_tflow_select ==1.1.0 gpu",
"_tflow_180_select ==2.0 mkl": "_tflow_select ==1.2.0 mkl",
"_tflow_180_select ==3.0 eigen": "_tflow_select ==1.3.0 eigen",
# 1.9.0, mkl is the default variant
"_tflow_190_select ==0.0.1 gpu": "_tflow_select ==2.1.0 gpu",
"_tflow_190_select ==0.0.2 eigen": "_tflow_select ==2.2.0 eigen",
"_tflow_190_select ==0.0.3 mkl": "_tflow_select ==2.3.0 mkl",
# 1.10.0, mkl is the default variant
"_tflow_1100_select ==0.0.1 gpu": "_tflow_select ==2.1.0 gpu",
"_tflow_1100_select ==0.0.2 eigen": "_tflow_select ==2.2.0 eigen",
"_tflow_1100_select ==0.0.3 mkl": "_tflow_select ==2.3.0 mkl",
# 1.11.0+ needs no fixing
}
CUDATK_SUBS = {
"cudatoolkit >=9.0,<10.0a0": "cudatoolkit >=9.0,<9.1.0a0",
"cudatoolkit >=9.2,<10.0a0": "cudatoolkit >=9.2,<9.3.0a0",
"cudatoolkit >=10.0.130,<11.0a0": "cudatoolkit >=10.0.130,<10.1.0a0",
}
MKL_VERSION_2018_RE = re.compile(r">=2018(.\d){0,2}$")
MKL_VERSION_2018_EXTENDED_RC = re.compile(r">=2018(.\d){0,2}")
LINUX_RUNTIME_RE = re.compile(r"lib(\w+)-ng\s(?:>=)?([\d\.]+\d)(?:$|\.\*)")
LINUX_RUNTIME_DEPS = ("libgcc-ng", "libstdcxx-ng", "libgfortran-ng")
# Packages that do *not* need to have their libffi dependencies patched
LIBFFI_HOTFIX_EXCLUDES = [
"_anaconda_depends",
]
# Get the directory where the current script is located
script_directory = Path(__file__).parent
# Construct the full path to the JSON file
json_file_path = script_directory / "numpy2_patch.json"
# Read and load the JSON file
NUMPY_2_CHANGES = json.loads(json_file_path.read_text())
def apply_numpy2_changes(record, subdir, filename):
"""
Applies predefined numpy changes to a record based on its directory and filename.
Parameters:
- record: The record to update.
- subdir: The subdirectory of the record.
- filename: The filename of the record.
"""
if subdir not in NUMPY_2_CHANGES:
return
change = NUMPY_2_CHANGES[subdir].get(filename)
if change:
replace_dep(record[change["type"]], change["original"], change["updated"])
def _replace_vc_features_with_vc_pkg_deps(name, record, depends):
python_vc_deps = {
"2.6": "vc 9.*",
"2.7": "vc 9.*",
"3.3": "vc 10.*",
"3.4": "vc 10.*",
"3.5": "vc 14.*",
"3.6": "vc 14.*",
"3.7": "vc 14.*",
}
vs_runtime_deps = {
9: "vs2008_runtime",
10: "vs2010_runtime",
14: "vs2015_runtime",
}
if name == "python":
# remove the track_features key
if "track_features" in record:
record["track_features"] = ""
# add a vc dependency
if not any(d.startswith("vc") for d in depends):
depends.append(python_vc_deps[record["version"][:3]])
elif name == "vs2015_win-64":
# remove the track_features key
if "track_features" in record:
record["track_features"] = ""
elif record["name"] == "yasm":
# remove vc from the features key
vc_version = _extract_and_remove_vc_feature(record)
if vc_version:
record["features"] = record.get("features") or ""
# add a vs20XX_runtime dependency
if not any(d.startswith("vs2") for d in record["depends"]):
depends.append(vs_runtime_deps[vc_version])
elif name == "git":
# remove any vc dependency, as git does not depend on a specific one
depends[:] = [dep for dep in depends if not dep.startswith("vc ")]
elif "vc" in record.get("features", ""):
# remove vc from the features key
vc_version = _extract_and_remove_vc_feature(record)
if vc_version:
record["features"] = record.get("features") or ""
# add a vc dependency
if not any(d.startswith("vc") for d in depends):
depends.append("vc %d.*" % vc_version)
def _apply_namespace_overrides(fn, record, instructions):
record_name = record["name"]
namespace_in_name_set = {
"python-crfsuite",
"python-daemon",
"python-dateutil",
"python-editor",
"python-engineio",
"python-gflags",
"python-ldap",
"python-memcached",
"python-ntlm",
"python-rapidjson",
"python-slugify",
"python-snappy",
"python-socketio",
"python-sybase",
"python-utils",
}
namespace_overrides = {
"boost": "python",
"ninja": "global",
"numpy-devel": "python",
"texlive-core": "global",
"keras": "python",
"keras-gpu": "python",
"git": "global",
"python-javapackages-cos7-ppc64le": "global",
"anaconda": "python",
"conda-env": "python",
"tensorflow": "python",
"tensorflow-gpu": "python",
"xcb-proto": "global",
"mxnet": "python",
}
if record_name in namespace_in_name_set and not record.get("namespace_in_name"):
# set the namespace_in_name field
instructions["packages"][fn]["namespace_in_name"] = True
if namespace_overrides.get(record_name):
# explicitly set namespace
instructions["packages"][fn]["namespace"] = namespace_overrides[record_name]
def _get_record_depends(fn, record, instructions):
"""Return the depends information for a record, including any patching."""
record_depends = record.get("depends", [])
if fn in instructions["packages"]:
if "depends" in instructions["packages"][fn]:
# the package depends have already been patched
record_depends = instructions["packages"][fn]["depends"]
return record_depends
def _fix_linux_runtime_bounds(depends):
for i, dep in enumerate(depends):
if dep.split()[0] not in LINUX_RUNTIME_DEPS:
continue
match = LINUX_RUNTIME_RE.match(dep)
if not match:
continue
dep = "lib{}-ng >={}".format(match.group(1), match.group(2))
if match.group(1) == "gfortran":
# this is adding an upper bound
lower_bound = int(match.group(2)[0])
# ABI break at gfortran 8
if lower_bound < 8:
dep += ",<8.0a0"
depends[i] = dep
def _fix_nomkl_features(record, depends):
if record["features"] == "nomkl":
record["features"] = None
if not any(d.startswith("blas ") for d in depends):
depends[:] = depends + ["blas * openblas"]
elif "nomkl" in record["features"]:
# remove nomkl feature
record["features"].remove("nomkl")
if not any(d.startswith("blas ") for d in depends):
depends[:] = depends + ["blas * openblas"]
def _fix_numpy_base_constrains(record, index, instructions, subdir):
# numpy-base packages should have run constrains on the corresponding numpy package
base_pkgs = [d for d in record["depends"] if d.startswith("numpy-base")]
if not base_pkgs:
# no base package, no hotfixing needed
return
base_pkg = base_pkgs[0]
try:
name, ver, build_str = base_pkg.split()
except ValueError:
# base package pinning not to version + build, no modification needed
return
base_pkg_fn = "%s-%s-%s.tar.bz2" % (name, ver, build_str)
try:
if "constrains" in index[base_pkg_fn]:
return
except KeyError:
# package might be revoked
return
if base_pkg_fn in NP_BASE_LOOSE_PIN.get(subdir, []):
# base package is a requirement of multiple numpy packages,
# constrain to only the version
req = "%s %s" % (record["name"], record["version"])
else:
# base package is a requirement of a single numpy package,
# constrain to the exact build
req = "%s %s %s" % (record["name"], record["version"], record["build"])
instructions["packages"][base_pkg_fn]["constrains"] = [req]
def _fix_cudnn_depends(depends, subdir):
for dep in depends:
if dep.startswith("cudnn"):
original_cudnn_depend = dep
if dep.startswith("cudatoolkit"):
cudatoolkit_depend = dep
is_seven_star = original_cudnn_depend.startswith(
"cudnn 7*"
) or original_cudnn_depend.startswith("cudnn 7.*")
if subdir.startswith("win-"):
# all packages prior to 2019-01-24 built with cudnn 7.1.4
correct_cudnn_depends = "cudnn >=7.1.4,<8.0a0"
else:
if original_cudnn_depend.startswith("cudnn 7.0"):
correct_cudnn_depends = "cudnn >=7.0.0,<=8.0a0"
elif original_cudnn_depend.startswith("cudnn 7.1.*"):
correct_cudnn_depends = "cudnn >=7.1.0,<=8.0a0"
elif original_cudnn_depend.startswith("cudnn 7.2.*"):
correct_cudnn_depends = "cudnn >=7.2.0,<=8.0a0"
# these packages express a dependeny of 7* or 7.* which is correct for
# the cudnn package versions available in defaults but are be rewritten
# to be more precise.
# Prior to 2019-01-24 all packages were build against:
# cudatoolkit 8.0 : cudnn 7.0.5
# cudatoolkit 9.0 : cudnn 7.1.2
# cudatoolkit 9.2 : cudnn 7.2.1
elif is_seven_star and cudatoolkit_depend.startswith("cudatoolkit 8.0"):
correct_cudnn_depends = "cudnn >=7.0.5,<=8.0a0"
elif is_seven_star and cudatoolkit_depend.startswith("cudatoolkit 9.0"):
correct_cudnn_depends = "cudnn >=7.1.2,<=8.0a0"
elif is_seven_star and cudatoolkit_depend.startswith("cudatoolkit 9.2"):
correct_cudnn_depends = "cudnn >=7.2.1,<=8.0a0"
elif original_cudnn_depend == "cudnn 7.3.*":
correct_cudnn_depends = "cudnn >=7.3.0,<=8.0a0"
else:
raise Exception("unknown cudnn depedency")
idx = depends.index(original_cudnn_depend)
depends[idx] = correct_cudnn_depends
def _patch_repodata(repodata, subdir):
index = repodata["packages"]
instructions = {
"patch_instructions_version": 1,
"packages": defaultdict(dict),
"revoke": [],
"remove": [],
}
if subdir == "noarch":
instructions["external_dependencies"] = {
"util-linux": "global:util-linux", # libdap4, pynio
"meld3": "python:meld3", # supervisor
"msys2-conda-epoch": "global:msys2-conda-epoch", # anaconda
}
for fn, record in index.items():
if is_revoked(fn, subdir):
instructions["revoke"].append(fn)
if is_removed(fn, subdir):
instructions["remove"].append(fn)
_apply_namespace_overrides(fn, record, instructions)
patch_record(fn, record, subdir, instructions, index)
instructions["remove"].sort()
instructions["revoke"].sort()
return instructions
def is_revoked(fn, subdir):
for rev in REVOKED.get(subdir, []):
if fnmatch.fnmatch(fn, rev):
return True
for rev in REVOKED.get("any", []):
if fnmatch.fnmatch(fn, rev):
return True
return False
def is_removed(fn, subdir):
for rev in REMOVALS.get(subdir, []):
if fnmatch.fnmatch(fn, rev):
return True
for rev in REMOVALS.get("any", []):
if fnmatch.fnmatch(fn, rev):
return True
return False
def patch_record(fn, record, subdir, instructions, index):
# create a copy of the record, patch in-place and add keys that change
# to the patch instructions
original_record = copy.deepcopy(record)
patch_record_in_place(fn, record, subdir)
keys_to_check = [
"app_entry",
"app_type",
"constrains",
"depends",
"features",
"namespace",
"license_family",
"subdir",
"track_features",
"type",
]
for key in keys_to_check:
if record.get(key) != original_record.get(key):
instructions["packages"][fn][key] = record.get(key)
# One-off patches that do not fit in with others
if record["name"] == "numpy":
_fix_numpy_base_constrains(record, index, instructions, subdir)
# set a specific timestamp for numba-0.36.1
if fn.startswith("numba-0.36.1") and record.get("timestamp") != 1512604800000:
instructions["packages"][fn]["timestamp"] = 1512604800000
# set the build_number of the blas-1.0-openblas.tar.bz2 package
# to 7 to match the package in free
# https://github.com/conda/conda/issues/8302
if subdir == "linux-ppc64le" and fn == "blas-1.0-openblas.tar.bz2":
instructions["packages"][fn]["build_number"] = 7
def patch_record_in_place(fn, record, subdir):
"""Patch record in place"""
name = record["name"]
version = record["version"]
build = record["build"]
build_number = record["build_number"]
depends = record["depends"]
constrains = record.get("constrains", [])
##########
# subdir #
##########
if "subdir" not in record:
record["subdir"] = subdir
#############
# namespace #
#############
if name == "conda-env" and not any(d.startswith("python") for d in depends):
record["namespace"] = "python"
################
# CUDA related #
################
# add run constrains on __cuda virtual package to cudatoolkit package
# see https://github.com/conda/conda/issues/9115
if name == "cudatoolkit" and "constrains" not in record:
major, minor = version.split(".")[:2]
req = f"__cuda >={major}.{minor}"
record["constrains"] = [req]
if any(dep.startswith("cudnn 7") for dep in depends):
_fix_cudnn_depends(depends, subdir)
# cudatoolkit should be pinning to major.minor not just major
if name in ("cupy", "nccl"):
for i, dep in enumerate(depends):
depends[i] = CUDATK_SUBS[dep] if dep in CUDATK_SUBS else dep
# depends in package is set as cudatoolkit 9.*, should be 9.0.*
if fn == "cupti-9.0.176-0.tar.bz2":
replace_dep(depends, "cudatoolkit 9.*", "cudatoolkit 9.0.*")
#######
# MKL #
#######
if name == "numpy-base" and any(_.startswith("mkl >=2018") for _ in depends):
depends.append("tbb4py")
for i, dep in enumerate(depends):
if (
dep.split()[0] == "mkl"
and len(dep.split()) > 1
and MKL_VERSION_2018_RE.match(dep.split()[1])
):
depends[i] = MKL_VERSION_2018_EXTENDED_RC.sub(
"%s,<2019.0a0" % (dep.split()[1]), dep
)
# intel-openmp 2020.* seems to be incompatible with older versions of mkl
# issues have only been reported on macOS and Windows but
# add the constrains on all platforms to be safe
if name == "intel-openmp" and version.startswith("2020"):
minor_version = version.split(".")[1]
record["constrains"] = [f"mkl >=2020.{minor_version}"]
# mkl 2020.x is compatible with 2019.x
# so mkl >=2019.x,<2020.0a0 becomes mkl >=2019.x,<2021.0a0
# except on osx-64, older macOS release have problems...
for i, dep in enumerate(depends):
if dep.startswith("mkl >=2019") and dep.endswith(",<2020.0a0"):
if subdir != "osx-64":
expanded_dep = dep.replace(",<2020.0a0", ",<2021.0a0")
depends[i] = expanded_dep
# some of these got hard-coded to overly restrictive values
if name in ("scikit-learn", "pytorch"):
for i, dep in enumerate(depends):
if dep.startswith("mkl 2018") and not any(
_.startswith("mkl >") for _ in depends
):
depends[i] = "mkl >=2018.0.3,<2019.0a0"
if "mkl 2018.*" in depends:
depends.pop(depends.index("mkl 2018.*"))
########
# BLAS #
########
if "features" in record:
_fix_nomkl_features(record, depends)
if name in ("mkl_random", "mkl_fft"):
if not any(re.match(r"blas\s.*\smkl", dep) for dep in record["depends"]):
depends.append("blas * mkl")
if name in ("openblas", "openblas-devel"):
for i, dep in enumerate(depends):
if dep.split()[0] == "nomkl":
depends[i] = "nomkl 3.0 0"
if name == "openblas-devel" and not any(d.startswith("blas ") for d in depends):
depends.append("blas * openblas")
if name == "mkl-devel" and not any(d.startswith("blas") for d in depends):
depends.append("blas * mkl")
# add in blas mkl metapkg for mutex behavior on packages that have just mkl deps
if name in BLAS_USING_PKGS and not any(dep.split()[0] == "blas" for dep in depends):
if any(dep.split()[0] == "mkl" for dep in depends):
depends.append("blas * mkl")
elif any(dep.split()[0] in ("openblas", "libopenblas") for dep in depends):
depends.append("blas * openblas")
#########
# numpy #
#########
# Correct packages mistakenly built against 1.21.5 on linux-aarch64
# Replaces the dependency bound with 1.21.2. These packages should
# actually have been built against an even earlier version of numpy.
# This is the safest correction we can make for now
if subdir == "linux-aarch64":
for i, dep in enumerate(depends):
if dep.startswith("numpy >=1.21.5,"):
depends[i] = depends[i].replace(">=1.21.5,", ">=1.21.2,")
break
###########
# pytorch #
###########
if name == "pytorch":
# pytorch was built with nccl 1.x
replace_dep(depends, "nccl", "nccl <2")
# Impose our BLAS mutex so users don't accidentally mix OpenBLAS and
# MKL within a single environment. In theory, having multiple BLAS
# implementations in an environment isn't a problem; in practice,
# however, this can lead to all sorts of problems due to other
# dependencies (like OpenMP implementations) being dragged in.
if subdir.endswith("-64") and not any(dep.startswith("blas ") for dep in depends):
if any(dep.startswith("libopenblas") for dep in depends):
depends.append("blas * openblas")
if any(dep.startswith("mkl ") for dep in depends):
depends.append("blas * mkl")
depends.sort()
if name == "torchvision" and version == "0.3.0":
replace_dep(depends, "pytorch >=1.1.0", "pytorch 1.1.*")
if "pytorch >=1.1.0" in depends:
# torchvision pytorch depends needs to be fixed to 1.1
pytorch_dep = depends.index("pytorch >=1.1.0")
depends[pytorch_dep] = "pytorch 1.1.*"
if name == "torchvision" and version == "0.4.0":
if "cuda" in record["build"]:
depends.append("_pytorch_select 0.2")
else:
depends.append("_pytorch_select 0.1")
#########
# scipy #
#########
if name == "scipy":
# Our original build of scipy-1.7.3 (build number 0) did not comply with the
# upstream's min and max numpy pinnings.
# See: https://github.com/scipy/scipy/blob/v1.7.3/setup.py#L551-L552
if version == "1.7.3" and build_number == 0:
if subdir != 'osx-arm64' and not build.startswith("py310"):
replace_dep(depends, "numpy >=1.16.6,<2.0a0", "numpy >=1.16.6,<1.23.0")
if subdir == 'osx-arm64' and not build.startswith("py310"):
replace_dep(depends, "numpy >=1.19.5,<2.0a0", "numpy >=1.19.5,<1.23.0")
if build.startswith("py310"):
replace_dep(depends, "numpy >=1.21.2,<2.0a0", "numpy >=1.21.2,<1.23.0")
# scipy needs at least nympy 1.19.5
# https://github.com/scipy/scipy/blob/v1.10.0/pyproject.toml#L78
elif version == "1.10.0" and build_number == 0:
if build[:4] in ["py37", "py38", "py39"]:
replace_dep(depends, "numpy >=1.19,<1.27.0", "numpy >=1.19.5,<1.27.0")
# scipy needs at least nympy 1.22.4
# https://github.com/scipy/scipy/blob/v1.12.0/pyproject.toml#L24
elif version == "1.12.0" and build_number == 0:
if build[:4] in ["py39", "py310"]:
replace_dep(depends, "numpy >=1.22.3,<1.29", "numpy >=1.22.4,<1.29")
######################
# scipy dependencies #
######################
# scipy 1.8 and 1.9 introduce breaking API changes impacting these packages
if name == "theano":
if version in ["1.0.4", "1.0.5"]:
replace_dep(depends, "scipy >=0.14", "scipy >=0.14,<1.8")
elif version in ["0.9.0", "1.0.1", "1.0.2", "1.0.3"]:
replace_dep(depends, "scipy >=0.14.0", "scipy >=0.14,<1.8")
if name == "theano-pymc":
replace_dep(depends, "scipy >=0.14", "scipy >=0.14,<1.8")
if name == "pyamg" and version in ["3.3.2", "4.0.0", "4.1.0"]:
replace_dep(depends, "scipy >=0.12.0", "scipy >=0.12.0,<1.8")
##############
# tensorflow #
##############
tflow_pkg = name in [
"tensorflow",
"tensorflow-gpu",
"tensorflow-eigen",
"tensorflow-mkl",
]
if tflow_pkg and version in ["1.8.0", "1.9.0", "1.10.0"]:
for i, dep in enumerate(depends):
depends[i] = TFLOW_SUBS[dep] if dep in TFLOW_SUBS else dep
if name == "keras":
version_parts = version.split(".")
if int(version_parts[0]) <= 2 and int(version_parts[1]) < 3:
for i, dep in enumerate(depends):
if dep.startswith("tensorflow"):
depends[i] = "tensorflow <2.0"
# tensorboard 2.0.0 build 0 should have a requirement on setuptools >=41.0.0
# see: https://github.com/AnacondaRecipes/tensorflow_recipes/issues/20
if name == "tensorboard" and version == "2.0.0" and build_number == 0:
depends.append("setuptools >=41.0.0")
if name.startswith("tensorflow-base") and version == "2.4.1":
replace_dep(depends, "gast", "gast 0.3.3")
# Relax the scipy pin slightly on linux-64 for tensorflow-base 2.8.2
# to match linux-aarch64, to facilitate intel/arm version alignment.
if name.startswith("tensorflow-base") and version == "2.8.2" and subdir == 'linux-64':
for i, dep in enumerate(depends):
if dep == "scipy >=1.7.3":
depends[i] = "scipy >=1.7.1"
break
# Tensorflow numpy incompatibilites
if name.startswith("tensorflow-base"):
if VersionOrder(version) <= VersionOrder("2.6.0"):
replace_dep(depends, "numpy >=1.20", "numpy >=1.20,<2.0a0")
if VersionOrder(version) <= VersionOrder("2.5.0"):
replace_dep(depends, "numpy >=1.16.6,<2.0a0", "numpy >=1.16.6,<1.24.0a0")
##############
# versioneer #
##############
if name == "versioneer" and record["license_family"].upper() == "NONE":
record["license_family"] = "PUBLIC-DOMAIN"
##############
# constrains #
##############
# setuptools should not appear in both depends and constrains
# https://github.com/conda/conda/issues/9337
if name == "conda" and "setuptools >=31.0.1" in constrains:
constrains[:] = [req for req in constrains if not req.startswith("setuptools")]
# basemap is incompatible with proj/proj4 >=6
# https://github.com/ContinuumIO/anaconda-issues/issues/11590
# Adding update to constraint to capture data reorg in the project.
if name == "basemap" and VersionOrder(version) < VersionOrder("1.3.0"):
record["constrains"] = ["proj4 <6", "proj <6"]
# 'cryptography' + pyopenssl incompatibility 28 Feb 2023 #
if name == "cryptography" and VersionOrder(version) >= VersionOrder("39.0.1"):
# or pyopenssl should have a max cryptography version set
record["constrains"] = ["pyopenssl >=23.0.0"]
############
# features #
############
if subdir.startswith("win-"):
_replace_vc_features_with_vc_pkg_deps(name, record, depends)
##################
# track_features #
##################
# reset dependencies for nomkl to the blas metapkg and remove any
# track_features (these are attached to the metapkg instead)
if name == "nomkl" and not subdir.startswith("win-"):
record["depends"] = ["blas * openblas"]
if "track_features" in record:
record["track_features"] = ""
if record.get("track_features"):
for feat in record["track_features"].split():
if feat.startswith(("rb2", "openjdk")):
xtractd = record["track_features"] = _extract_track_feature(
record, feat
)
record["track_features"] = xtractd
#############################################
# anaconda, conda, conda-build, constructor #
#############################################
# Remove new shortcut packages from Navigator panel until they are ready
if name in [
"anconda_prompt",
"anaconda_powershell_prompt",
]:
if "app_entry" in record:
del record["app_entry"]
if "app_type" in record:
del record["app_type"]
if record.get("type") == "app":
del record["type"]
if (
name == "anaconda"
and version == "custom"
and not any(d.startswith("_anaconda_depends") for d in depends)
):
depends.append("_anaconda_depends")
if name == "anaconda" and version in ["5.3.0", "5.3.1"]:
mkl_version = [
i for i in depends if i.split()[0] == "mkl" and "2019" in i.split()[1]
]
if len(mkl_version) == 1:
depends.remove(mkl_version[0])
depends.append("mkl 2018.0.3 1")
elif len(mkl_version) > 1:
raise Exception("Found multiple mkl entries, expected only 1.")
if name == "conda-build" and version.startswith("3.18"):
for i, dep in enumerate(depends):
parts = dep.split()
if parts[0] == "conda" and "4.3" in parts[1]:
depends[i] = "conda >=4.5"
# CPH 1.5 has a statically linked libarchive and doesn't depend on python-libarchive-c
# we were implicitly depending on it, and it goes missing.
if "python-libarchive-c" not in depends:
depends.append("python-libarchive-c")
if name == "conda-build":
for i, dep in enumerate(depends):
dep_name, *other = dep.split()
# Jinja 3.0.0 introduced behavior changes that broke certain
# conda-build templating functionality.
if dep_name == "jinja2":
depends[i] = "jinja2 !=3.0.0"
# Deprecation removed in conda 4.13 break older conda-builds
if VersionOrder(version) <= VersionOrder("3.21.8") and dep_name == "conda":
depends[i] = "{} {}<4.13.0".format(
dep_name, other[0] + "," if other else ""
)
# Deprecations removed in conda 24.3.0 break conda-build <24.3.0.
# Note that we don't want to affect conda-build <=3.21.8
if (
dep_name == "conda" and
VersionOrder(version) > VersionOrder("3.21.8") and
VersionOrder(version) < VersionOrder("24.3.0")
):
depends[i] = "{} {}<24.3.0".format(
dep_name, other[0] + "," if other else ""
)
# Avoid issue on Windows where an old menuinst 1.x is allowed in the environment
# and breaks the JSON validation with a failed import
if dep_name == "menuinst" and VersionOrder(version) <= VersionOrder("3.28.1"):
depends[i] = "menuinst >=2.0.1"
if name == "constructor":
if int(version[0]) < 3:
replace_dep(depends, "conda", "conda <4.6.0a0")
if VersionOrder("3.2") <= VersionOrder(version) <= VersionOrder("3.3.1"):
# Pin nsis on recent versions of constructor
# https://github.com/conda/constructor/issues/526
replace_dep(depends, "nsis >=3.01", "nsis 3.01")
# conda 23.1 broke constructor
# https://github.com/conda/constructor/pull/627
if record.get("timestamp", 0) <= 1674637311000:
replace_dep(depends, "conda >=4.6", "conda >=4.6,<23.1.0a0")
# libarchive 3.3.2 and 3.3.3 build 0 are missing zstd support.
# De-prioritize these packages with a track_feature (via _low_priority)
# so they are not installed unless explicitly requested
if name == "libarchive" and (
version == "3.3.2" or (version == "3.3.3" and build_number == 0)
):
depends.append("_low_priority")
if name == 'anaconda-cloud-auth':
if re.match(r'0\.1\.[2-3](?!\d)', version): # = 0.1.2* or = 0.1.3*
bisect.insort_left(depends, 'jaraco.classes =3')
# In anaconda-cli-base 0.3.0 the plugin structure changed and this package
# is no longer utilized. Updating pins here to avoid this package being installed
# alongside the new plugin implementation.
if name == 'anaconda-cloud-cli':
if re.match(r'0\.1\.0(?!\d)', version): # = 0.1.0*
replace_dep(depends, 'anaconda-cli-base', 'anaconda-cli-base <0.3.0')
replace_dep(depends, 'anaconda-cloud-auth', 'anaconda-cloud-auth <0.6.0')
if re.match(r'0\.2\.0(?!\d)', version): # = 0.2.0*
replace_dep(depends, 'anaconda-cli-base >=0.2', 'anaconda-cli-base >=0.2,<0.3')
replace_dep(depends, 'anaconda-cloud-auth >=0.3', 'anaconda-cloud-auth >=0.3,<0.6')
replace_dep(depends, 'anaconda-client >=1.12.2', 'anaconda-client >=1.12.2,<1.13')
if name == 'anaconda-client':
if re.match(r'1\.(?:\d|1[01])\.', version): # < 1.12.0
if replace_dep(depends, 'urllib3 >=1.26.4', 'urllib3 >=1.26.4,<2.0.0a') == '=': # if no changes
depends.append('urllib3 <2.0.0a')