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from __future__ import annotations import functools import operator import os from typing import TYPE_CHECKING, Any from packaging.markers import default_environment from pdm.compat import tomllib from pdm.formats.base import make_array from pdm.models.markers import Marker, get_marker from pdm.models.requirements impo...
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from __future__ import annotations import argparse import hashlib import shlex import urllib.parse from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.exceptions import PdmUsageError from pdm.formats.base import make_array from pdm.models.requirements import FileRequirement, Requirement, pa...
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from __future__ import annotations import argparse import hashlib import shlex import urllib.parse from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.exceptions import PdmUsageError from pdm.formats.base import make_array from pdm.models.requirements import FileRequirement, Requirement, pa...
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from __future__ import annotations import argparse import hashlib import shlex import urllib.parse from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.exceptions import PdmUsageError from pdm.formats.base import make_array from pdm.models.requirements import FileRequirement, Requirement, pa...
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from __future__ import annotations import re from typing import Any, Callable, Mapping, TypeVar, cast import tomlkit from pdm import termui _T = TypeVar("_T", bound=Callable) def convert_from(field: str | None = None, name: str | None = None) -> Callable[[_T], _T]: def wrapper(func: _T) -> _T: func._conver...
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from __future__ import annotations import re from typing import Any, Callable, Mapping, TypeVar, cast import tomlkit from pdm import termui NAME_EMAIL_RE = re.compile(r"(?P<name>[^,]+?)\s*(?:<(?P<email>.+)>)?\s*$") def array_of_inline_tables(value: list[Mapping], multiline: bool = True) -> list[str]: return make_ar...
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from __future__ import annotations import ast import os from pathlib import Path from typing import TYPE_CHECKING, Any, List, Mapping, cast from pdm.compat import tomllib from pdm.formats.base import ( MetaConverter, Unset, array_of_inline_tables, convert_from, make_array, make_inline_table, ) f...
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from __future__ import annotations import ast import os from pathlib import Path from typing import TYPE_CHECKING, Any, List, Mapping, cast from pdm.compat import tomllib from pdm.formats.base import ( MetaConverter, Unset, array_of_inline_tables, convert_from, make_array, make_inline_table, ) f...
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from __future__ import annotations import ast import os from pathlib import Path from typing import TYPE_CHECKING, Any, List, Mapping, cast from pdm.compat import tomllib from pdm.formats.base import ( MetaConverter, Unset, array_of_inline_tables, convert_from, make_array, make_inline_table, ) f...
This function is borrowed from flit's implementation, but does not attempt to import that file. If docstring or version can't be retrieved by this function, they are just left empty.
152,074
from __future__ import annotations import ast import os from pathlib import Path from typing import TYPE_CHECKING, Any, List, Mapping, cast from pdm.compat import tomllib from pdm.formats.base import ( MetaConverter, Unset, array_of_inline_tables, convert_from, make_array, make_inline_table, ) f...
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from __future__ import annotations import ast import os from pathlib import Path from typing import TYPE_CHECKING, Any, List, Mapping, cast from pdm.compat import tomllib from pdm.formats.base import ( MetaConverter, Unset, array_of_inline_tables, convert_from, make_array, make_inline_table, ) f...
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from __future__ import annotations import os from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.formats.base import array_of_inline_tables, make_array, make_inline_table def check_fingerprint(project: Project, filename: Path) -> bool: return os.path.basename(filename) in ("setup.py", ...
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from __future__ import annotations import os from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.formats.base import array_of_inline_tables, make_array, make_inline_table def make_inline_table(data: Mapping) -> dict: """Create an inline table from the given data.""" table = cast(di...
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from __future__ import annotations import os from pathlib import Path from typing import TYPE_CHECKING, Any, Mapping from pdm.formats.base import array_of_inline_tables, make_array, make_inline_table def export(project: Project, candidates: list, options: Any | None) -> str: raise NotImplementedError()
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from __future__ import annotations import argparse from typing import TYPE_CHECKING from packaging.version import Version from pdm.cli.commands.base import BaseCommand from pdm.cli.options import venv_option from pdm.exceptions import PdmUsageError from pdm.models.candidates import Candidate from pdm.models.project_inf...
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from __future__ import annotations import base64 import hashlib import typing as t from pathlib import Path from findpython import BaseProvider, PythonVersion from pdm.exceptions import PdmUsageError from pdm.models.venv import VirtualEnv from pdm.project import Project The provided code snippet includes necessary dep...
Return an iterable of all managed venvs and their paths.
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from __future__ import annotations import argparse import itertools import os import re import shlex import signal import subprocess import sys from pathlib import Path from types import FrameType from typing import TYPE_CHECKING, Mapping, NamedTuple, Sequence, cast from rich import print_json from pdm import termui fr...
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from __future__ import annotations import argparse import itertools import os import re import shlex import signal import subprocess import sys from pathlib import Path from types import FrameType from typing import TYPE_CHECKING, Mapping, NamedTuple, Sequence, cast from rich import print_json from pdm import termui fr...
Interpolate the `{args:[defaults]} placeholder in a string
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from __future__ import annotations import argparse import itertools import os import re import shlex import signal import subprocess import sys from pathlib import Path from types import FrameType from typing import TYPE_CHECKING, Mapping, NamedTuple, Sequence, cast from rich import print_json from pdm import termui fr...
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from __future__ import annotations import argparse import itertools import os import re import shlex import signal import subprocess import sys from pathlib import Path from types import FrameType from typing import TYPE_CHECKING, Mapping, NamedTuple, Sequence, cast from rich import print_json from pdm import termui fr...
Helper to create a signal handler to run specific script
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from __future__ import annotations import email import email.message import email.policy import hashlib import io import os import re import subprocess from dataclasses import dataclass from typing import IO, Any, cast from pdm.exceptions import PdmUsageError, ProjectError from pdm.termui import logger The provided co...
Note that this function will close fp. See https://github.com/python/cpython/issues/65562.
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from __future__ import annotations import argparse import shlex import subprocess import sys from typing import Any from packaging.version import parse from pdm import termui from pdm.cli.actions import get_latest_pdm_version_from_pypi from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_op...
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from __future__ import annotations import argparse import shlex import subprocess import sys from typing import Any from packaging.version import parse from pdm import termui from pdm.cli.actions import get_latest_pdm_version_from_pypi from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_op...
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import argparse import os from pathlib import Path from typing import Iterable from pdm import termui from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_option from pdm.exceptions import PdmUsageError from pdm.project import Project def file_size(file: Path) -> int: if file.is_symlink...
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import argparse import os from pathlib import Path from typing import Iterable from pdm import termui from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_option from pdm.exceptions import PdmUsageError from pdm.project import Project def format_size(size: float) -> str: if size > 1000...
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import argparse import os from pathlib import Path from typing import Iterable from pdm import termui from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_option from pdm.exceptions import PdmUsageError from pdm.project import Project def find_files(parent: Path, pattern: str) -> Iterable[P...
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from __future__ import annotations import argparse import sys import textwrap from shutil import get_terminal_size from pdm import termui from pdm._types import SearchResult from pdm.cli.commands.base import BaseCommand from pdm.cli.options import verbose_option from pdm.environments import BareEnvironment from pdm.mod...
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from __future__ import annotations import argparse import csv import io import json import re from collections import defaultdict from fnmatch import fnmatch from typing import Iterable, Mapping, Sequence from pdm.cli import actions from pdm.cli.commands.base import BaseCommand from pdm.cli.options import venv_option f...
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from __future__ import annotations import argparse import csv import io import json import re from collections import defaultdict from fnmatch import fnmatch from typing import Iterable, Mapping, Sequence from pdm.cli import actions from pdm.cli.commands.base import BaseCommand from pdm.cli.options import venv_option f...
Parse a CLI comma separated string. Apply optional lowercase transformation and if the value given is "*" then return a list of pre-defined values (`asterisk_values`).
152,094
from __future__ import annotations import contextlib import datetime import hashlib import json import os import sys import textwrap import warnings from typing import Collection, Iterable, cast from resolvelib.reporters import BaseReporter from resolvelib.resolvers import ResolutionImpossible, ResolutionTooDeep, Resol...
Performs the locking process and update lockfile.
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from __future__ import annotations import contextlib import datetime import hashlib import json import os import sys import textwrap import warnings from typing import Collection, Iterable, cast from resolvelib.reporters import BaseReporter from resolvelib.resolvers import ResolutionImpossible, ResolutionTooDeep, Resol...
Check if the lock file exists and is up to date. Return the lock strategy.
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from __future__ import annotations import contextlib import datetime import hashlib import json import os import sys import textwrap import warnings from typing import Collection, Iterable, cast from resolvelib.reporters import BaseReporter from resolvelib.resolvers import ResolutionImpossible, ResolutionTooDeep, Resol...
Synchronize project
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from __future__ import annotations import contextlib import datetime import hashlib import json import os import sys import textwrap import warnings from typing import Collection, Iterable, cast from resolvelib.reporters import BaseReporter from resolvelib.resolvers import ResolutionImpossible, ResolutionTooDeep, Resol...
Show possible importable files and ask user to decide
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from __future__ import annotations import contextlib import datetime import hashlib import json import os import sys import textwrap import warnings from typing import Collection, Iterable, cast from resolvelib.reporters import BaseReporter from resolvelib.resolvers import ResolutionImpossible, ResolutionTooDeep, Resol...
Check if there is a new version of PDM available
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
Build a dependency graph from locked result.
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
Rewrite the version specifiers according to the resolved result and save strategy :param requirements: the requirements to be updated :param resolved: the resolved mapping :param save_strategy: compatible/wildcard/exact
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
Merge the input dict with the target while preserving the existing values properly. This will update the target dictionary in place. List values will be extended, but only if the value is not already in the list.
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
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from __future__ import annotations import argparse import dataclasses as dc import json import os import re import sys from collections import ChainMap, OrderedDict from concurrent.futures import ThreadPoolExecutor from fnmatch import fnmatch from gettext import gettext as _ from json import dumps from pathlib import P...
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast dest="build_isolation", The provided code snippet includes necessary dependencies for implementing the `split_lists` function. Write a Python function `def split_lists(separa...
Works the same as `append` except each argument is considered a `separator`-separated list.
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast The provided code snippet includes necessary dependencies for implementing the `from_splitted_env` function. Write a Python function `def from_splitted_env(name: str, separator: ...
Parse a `separator`-separated list from a `name` environment variable if present.
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast def frozen_lockfile_option( project: Project, namespace: argparse.Namespace, values: str | Sequence[Any] | None, option_string: str | None = None, ) -> None: ...
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast def print_pep582_command(project: Project, shell: str = "AUTO") -> None: """Print the export PYTHONPATH line to be evaluated by the shell.""" import shellingham pep5...
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast def no_isolation_option( project: Project, namespace: argparse.Namespace, values: str | Sequence[Any] | None, option_string: str | None = None, ) -> None: os....
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from __future__ import annotations import argparse import os import sys from functools import partial from typing import TYPE_CHECKING, cast def ignore_python_option( project: Project, namespace: argparse.Namespace, values: str | Sequence[Any] | None, option_string: str | None = None, ) -> None: os...
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import importlib.resources import sys from pathlib import Path from typing import BinaryIO, ContextManager def resources_read_text(package: str, resource: str, encoding: str = "utf-8", errors: str = "strict") -> str: with (importlib.resources.files(package) / resource).open("r", encoding=encoding, errors=error...
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import importlib.resources import sys from pathlib import Path from typing import BinaryIO, ContextManager def resources_path(package: str, resource: str) -> ContextManager[Path]: return importlib.resources.as_file(importlib.resources.files(package) / resource)
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from __future__ import annotations import logging import os import shutil import subprocess import textwrap import threading from logging import Logger from pathlib import Path from typing import TYPE_CHECKING, Any, ClassVar, Iterable, cast from pyproject_hooks import BuildBackendHookCaller from pdm.compat import tomll...
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from __future__ import annotations import hashlib import json import warnings from typing import Any, Mapping from tomlkit import TOMLDocument, items from pdm import termui from pdm.project.toml_file import TOMLBase def _remove_empty_tables(doc: dict) -> None: for k, v in list(doc.items()): if isinstance(v...
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from __future__ import annotations import collections import dataclasses import os from functools import cached_property from pathlib import Path from typing import Any, Callable, ClassVar, Iterator, Mapping, MutableMapping, cast import platformdirs import rich.theme import tomlkit from pdm import termui from pdm._type...
Load a nested TOML document into key-value pairs E.g. ["python"]["use_venv"] will be loaded as "python.use_venv" key.
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from __future__ import annotations import collections import dataclasses import os from functools import cached_property from pathlib import Path from typing import Any, Callable, ClassVar, Iterator, Mapping, MutableMapping, cast import platformdirs import rich.theme import tomlkit from pdm import termui from pdm._type...
Coerce a string value to a boolean value
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from __future__ import annotations import collections import dataclasses import os from functools import cached_property from pathlib import Path from typing import Any, Callable, ClassVar, Iterator, Mapping, MutableMapping, cast import platformdirs import rich.theme import tomlkit from pdm import termui from pdm._type...
Split a string value by comma
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from __future__ import annotations import contextlib import enum import logging import os import tempfile import warnings from typing import TYPE_CHECKING import rich from rich.box import ROUNDED from rich.console import Console from rich.progress import Progress, ProgressColumn from rich.prompt import Confirm, IntProm...
Check if the terminal is run under interactive mode
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from __future__ import annotations import contextlib import enum import logging import os import tempfile import warnings from typing import TYPE_CHECKING import rich from rich.box import ROUNDED from rich.console import Console from rich.progress import Progress, ProgressColumn from rich.prompt import Confirm, IntProm...
Legacy Windows renderer may have problem rendering emojis
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from __future__ import annotations import contextlib import enum import logging import os import tempfile import warnings from typing import TYPE_CHECKING import rich from rich.box import ROUNDED from rich.console import Console from rich.progress import Progress, ProgressColumn from rich.prompt import Confirm, IntProm...
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import os import site import sys from pathlib import Path def get_pypackages_path(): def find_pypackage(path, version): if not path.exists(): return None packages_name = f"__pypackages__/{version}/lib" files = list(path.glob(packages_name)) if files: return ...
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import os import site import sys from pathlib import Path def load_next_sitecustomize_py2(): import imp try: f, pathname, desc = imp.find_module("sitecustomize", sys.path) try: imp.load_module("another_sitecustomize", f, pathname, desc) finally: f.close() ex...
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import os import site import sys from pathlib import Path def load_next_sitecustomize_py3(): import importlib.util old_module = sys.modules.pop("sitecustomize", None) spec = importlib.util.find_spec("sitecustomize") if spec is not None: module = importlib.util.module_from_spec(spec) sp...
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import os import site import sys from pathlib import Path The provided code snippet includes necessary dependencies for implementing the `patch_sysconfig` function. Write a Python function `def patch_sysconfig(libpath)` to solve the following problem: This is a hack to make sure that the sysconfig.get_paths() returns ...
This is a hack to make sure that the sysconfig.get_paths() returns PEP 582 scheme.
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from __future__ import annotations import itertools import sys from collections import ChainMap from pathlib import Path from typing import Iterable, Iterator, Mapping from pdm.compat import importlib_metadata as im from pdm.utils import normalize_name class EgglinkFinder(im.DistributionFinder): def find_distributi...
Find distributions in the paths. Similar to `importlib.metadata`'s implementation but with the ability to discover egg-links.
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from __future__ import annotations import dataclasses import fnmatch import itertools import posixpath import re import sys import warnings from functools import wraps from typing import TYPE_CHECKING, Collection, Generator, TypeVar, cast from pdm import termui from pdm.exceptions import CandidateInfoNotFound, Candidat...
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from __future__ import annotations import functools import sys from pathlib import Path from typing import IO, TYPE_CHECKING, Any, Mapping from cachecontrol import CacheControlAdapter as BaseCCAdapter from cachecontrol.serialize import Serializer from requests import Request from requests_toolbelt.utils import user_age...
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from __future__ import annotations import abc import os import urllib.parse from pathlib import Path from typing import TYPE_CHECKING from pdm.utils import expand_env_vars, path_to_url class BuildBackend(metaclass=abc.ABCMeta): """A build backend that does not support dynamic values in dependencies""" def __ini...
Get the build backend class by name
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from __future__ import annotations import abc import os import urllib.parse from pathlib import Path from typing import TYPE_CHECKING from pdm.utils import expand_env_vars, path_to_url class BuildBackend(metaclass=abc.ABCMeta): """A build backend that does not support dynamic values in dependencies""" def __ini...
Get the build backend class by specification. The parameter passed in is the 'build-system' section in pyproject.toml.
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from __future__ import annotations import operator from dataclasses import dataclass from functools import reduce from typing import Any, overload from dep_logic.markers import ( BaseMarker, InvalidMarker, MarkerExpression, MarkerUnion, MultiMarker, from_pkg_marker, parse_marker, ) from pack...
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from __future__ import annotations import dataclasses as dc import sys from functools import cached_property from pathlib import Path from pdm.models.in_process import get_sys_config_paths from pdm.utils import find_python_in_path, get_venv_like_prefix IS_WIN = sys.platform == "win32" BIN_DIR = "Scripts" if IS_WIN else...
Get the interpreter path inside the given venv.
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from __future__ import annotations import dataclasses as dc import sys from functools import cached_property from pathlib import Path from pdm.models.in_process import get_sys_config_paths from pdm.utils import find_python_in_path, get_venv_like_prefix def is_conda_venv(root: Path) -> bool: return (root / "conda-m...
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from __future__ import annotations import contextlib import dataclasses import hashlib import json import os import stat from functools import lru_cache from pathlib import Path from typing import TYPE_CHECKING, BinaryIO, Generic, Iterable, TypeVar, cast from cachecontrol.cache import SeparateBodyBaseCache from cacheco...
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from __future__ import annotations import dataclasses import functools import inspect import json import os import posixpath import re import secrets import urllib.parse as urlparse from pathlib import Path from typing import TYPE_CHECKING, Any, Sequence, TypeVar, cast from packaging.requirements import InvalidRequirem...
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from __future__ import annotations import dataclasses import itertools import json import re import warnings from functools import lru_cache from operator import attrgetter from typing import Any, Iterable, Match, cast from dep_logic.specifiers import ( BaseSpecifier, EmptySpecifier, RangeSpecifier, Uni...
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from __future__ import annotations import dataclasses import itertools import json import re import warnings from functools import lru_cache from operator import attrgetter from typing import Any, Iterable, Match, cast from dep_logic.specifiers import ( BaseSpecifier, EmptySpecifier, RangeSpecifier, Uni...
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from __future__ import annotations import dataclasses import itertools import json import re import warnings from functools import lru_cache from operator import attrgetter from typing import Any, Iterable, Match, cast from dep_logic.specifiers import ( BaseSpecifier, EmptySpecifier, RangeSpecifier, Uni...
If the upper bound is 4.0, replace it with unlimited.
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from __future__ import annotations import dataclasses import hashlib import os import re import warnings from functools import cached_property from pathlib import Path from tempfile import TemporaryDirectory from typing import TYPE_CHECKING, Any, cast, no_type_check from zipfile import ZipFile from packaging.utils impo...
Extract the metadata from a wheel. Fallback for when the build backend does not define the 'get_wheel_metadata' hook.
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from __future__ import annotations import dataclasses import hashlib import os import re import warnings from functools import cached_property from pathlib import Path from tempfile import TemporaryDirectory from typing import TYPE_CHECKING, Any, cast, no_type_check from zipfile import ZipFile from packaging.utils impo...
Return a new dict without None values
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from __future__ import annotations import dataclasses import hashlib import os import re import warnings from functools import cached_property from pathlib import Path from tempfile import TemporaryDirectory from typing import TYPE_CHECKING, Any, cast, no_type_check from zipfile import ZipFile from packaging.utils impo...
Get the best matching link for a requirement
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import json import os import sys import sysconfig def running_under_virtualenv(): """Return True if we're running inside a virtualenv, False otherwise.""" return _running_under_venv() or _running_under_regular_virtualenv() def _get_user_scheme(): if os.name == "nt": return "nt_user" if sys.platf...
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import json import sys import sysconfig import _imp def _normalize_string(string): return string.replace(".", "_").replace("-", "_").replace(" ", "_") def _cpython_abis(py_version): py_version = tuple(py_version) # To allow for version comparison. abis = [] version = _version_nodot(py_version[:2]) ...
Return the ABI tag based on EXT_SUFFIX.
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import json import sys import sysconfig import _imp INTERPRETER_SHORT_NAMES = { "python": "py", # Generic. "cpython": "cp", "pypy": "pp", "ironpython": "ip", "jython": "jy", } The provided code snippet includes necessary dependencies for implementing the `interpreter_name` function. Write a Python...
Returns the name of the running interpreter. Some implementations have a reserved, two-letter abbreviation which will be returned when appropriate.
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import os import sys from typing import Any, Dict def _parse_setup_cfg(path: str) -> Dict[str, Any]: import configparser setup_cfg = configparser.ConfigParser() setup_cfg.read(path, encoding="utf-8") result: Dict[str, Any] = {} if not setup_cfg.has_section("metadata"): return result meta...
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import os import sys from typing import Any, Dict def json_default(o): return "<unserializable object>"
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import json import os import platform import sys def format_full_version(info): version = "{0.major}.{0.minor}.{0.micro}".format(info) kind = info.releaselevel if kind != "final": version += kind[0] + str(info.serial) return version def default_environment(): if hasattr(sys, "implementation...
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from __future__ import annotations import dataclasses as dc import re from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Tuple, TypeVar, Union def _normalize_pattern(pattern: str) -> str: return re.sub(r"[^A-Za-z0-9?*\[\]-]+", "-", pattern).lower()
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import os import streamlit as st from llama_index.core import Settings, SimpleDirectoryReader, VectorStoreIndex from llama_index.embeddings.openai import OpenAIEmbedding from llama_index.llms.openai import OpenAI st.set_page_config( page_title="Chat with the PDM docs, powered by LlamaIndex", page_icon="📝", ...
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import argparse import subprocess import sys from pathlib import Path from typing import Any import parver from rich.console import Console def echo(*args: str, err: bool = False, **kwargs: Any): if err: _err_console.print(*args, **kwargs) else: _console.print(*args, **kwargs) def bump_version(p...
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import argparse import subprocess import sys from pathlib import Path from typing import Any import parver from rich.console import Console def parse_args(argv=None): parser = argparse.ArgumentParser("release.py") parser.add_argument("--dry-run", action="store_true", help="Dry run mode") parser.add_argume...
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from __future__ import annotations import json from html.parser import HTMLParser from pathlib import Path import requests class PythonVersionParser(HTMLParser): def __init__(self, *, convert_charrefs: bool = True) -> None: super().__init__(convert_charrefs=convert_charrefs) self._parsing_release_nu...
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import random import json def random_sport(): def get_other_sport(sport): def random_player(sport): def random_action(sport): def game(sport): def construct_example(): positive = random.choice([True, False]) sport = random_sport() player = random_player(sport) score = None if not positive: ...
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import random from automatic_prompt_engineer import generate, evaluate, config, template, data, llm def get_simple_prompt_gen_template(prompt_gen_template, prompt_gen_mode): if prompt_gen_template is None: if prompt_gen_mode == 'forward': prompt_gen_template = "I gave a friend an instruction. Ba...
Function that wraps the find_prompts function to make it easier to use. Design goals: include default values for most parameters, and automatically fill out the config dict for the user in a way that fits almost all use cases. The main shortcuts this function takes are: - Uses the same dataset for prompt generation, ev...
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import random from automatic_prompt_engineer import generate, evaluate, config, template, data, llm The provided code snippet includes necessary dependencies for implementing the `simple_eval` function. Write a Python function `def simple_eval(dataset, prompts, eval_template='Instructio...
Function that wraps the evaluate_prompts function to make it easier to use. Parameters: dataset: The dataset to use for evaluation. prompts: The list of prompts to evaluate. eval_template: The template for the evaluation queries. demos_template: The template for the demos. eval_model: The model to use for evaluation. R...
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import random from automatic_prompt_engineer import generate, evaluate, config, template, data, llm def get_simple_prompt_gen_template(prompt_gen_template, prompt_gen_mode): def estimate_cost(eval_template, demos_template, prompt_gen_data, eval_data, ...
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import random import fire from automatic_prompt_engineer import ape, data from experiments.data.instruction_induction.load_data import load_data, tasks from experiments.evaluation.instruction_induction.exec_accuracy import exec_accuracy_evaluator tasks = [f.split('.')[0] for f in os.listdir(induce_data_path)] def lo...
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from automatic_prompt_engineer import ape, data from experiments.data.TruthfulQA.load_data import load_data from experiments.evaluation.TruthfulQA.fine_tuned_gpt_eval import fine_tuned_gpt_evaluator def indented_print(s, indent=2): s = s.replace('\n', '\n' + ' ' * indent) print(' ' * indent + s) def utility_com...
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import openai import numpy as np import pandas as pd import gradio as gr from experiments.data.instruction_induction.load_data import load_data from automatic_prompt_engineer.ape import get_simple_prompt_gen_template from automatic_prompt_engineer import ape, evaluate, config, template, llm def prompt_overview(): ...
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import openai import numpy as np import pandas as pd import gradio as gr from experiments.data.instruction_induction.load_data import load_data from automatic_prompt_engineer.ape import get_simple_prompt_gen_template from automatic_prompt_engineer import ape, evaluate, config, template, llm model_types = ['text-ada-001...
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import functools import inspect import logging import os import threading import time from optscale_client.config_client.client import Client as ConfigClient from etcd import EtcdEventIndexCleared from influxdb import InfluxDBClient optscale_meter = Meter() def get_class_that_defined_method(meth): if isinstance(met...
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from datetime import datetime from functools import wraps from googleapiclient import discovery from googleapiclient.errors import HttpError from google.oauth2.service_account import Credentials class CalendarException(Exception): def wrap_http_error(func): @wraps(func) def func_wrapper(*args, **kwargs): ...
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import json import requests import yaml import sys import inspect from requests.packages.urllib3.exceptions import InsecureRequestWarning from optscale_client.rest_api_client.client_v2 import Client as RestClient from optscale_client.auth_client.client_v2 import Client as AuthClient from optscale_client.report_client.c...
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import json from rest_api.rest_api_server.exceptions import Err from rest_api.rest_api_server.handlers.v1.base import BaseAuthHandler from rest_api.rest_api_server.handlers.v1.base_async import ( BaseAsyncCollectionHandler, BaseAsyncItemHandler) from rest_api.rest_api_server.controllers.profiling.dataset import ( ...
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