diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index ec2bf022..9024abf3 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -18,17 +18,10 @@ repos: - id: end-of-file-fixer exclude: LICENSE - - repo: local - hooks: - - id: black - name: black - entry: poetry run black --config pyproject.toml - types: [python] - language: system - - - repo: https://github.com/charliermarsh/ruff-pre-commit - rev: 'v0.0.267' + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.1.2 hooks: + - id: ruff-format - id: ruff - repo: local diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index cfc21be3..2c935340 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -24,7 +24,7 @@ make lint ### Checks -Many checks are configured for this project. Command `make check-style` will check black and isort. +Many checks are configured for this project. Command `make check-style` will check style with `ruff`. The `make check-safety` command will look at the security of your code. Comand `make lint` applies all checks. diff --git a/Makefile b/Makefile index 69e609c0..c6ef3b7f 100644 --- a/Makefile +++ b/Makefile @@ -78,15 +78,15 @@ update-deps: #* Linting .PHONY: check-style check-style: - poetry run black --diff --check --config pyproject.toml ./ - poetry run ruff --no-fix --config pyproject.toml ./ + poetry run ruff format --check --config pyproject.toml ./ + poetry run ruff check --no-fix --config pyproject.toml ./ # poetry run darglint --verbosity 2 inseq tests # poetry run mypy --config-file pyproject.toml ./ .PHONY: fix-style fix-style: - poetry run black --config pyproject.toml ./ - poetry run ruff --config pyproject.toml ./ + poetry run ruff format --config pyproject.toml ./ + poetry run ruff check --config pyproject.toml ./ .PHONY: check-safety check-safety: diff --git a/examples/inseq_tutorial.ipynb b/examples/inseq_tutorial.ipynb index 09177f09..cce02a11 100644 --- a/examples/inseq_tutorial.ipynb +++ b/examples/inseq_tutorial.ipynb @@ -170,7 +170,7 @@ "source": [ "import inseq\n", "\n", - "# Load the model Helsinki-NLP/opus-mt-en-fr (6-layer encoder-decoder transformer) from the \n", + "# Load the model Helsinki-NLP/opus-mt-en-fr (6-layer encoder-decoder transformer) from the\n", "# Huggingface Hub and hook it with the Input X Gradient feature attribution method\n", "model = inseq.load_model(\"Helsinki-NLP/opus-mt-en-it\", \"input_x_gradient\")\n", "\n", @@ -180,7 +180,7 @@ "out = model.attribute(\n", " input_texts=\"Hello everyone, hope you're enjoying the tutorial!\",\n", " attribute_target=True,\n", - " step_scores=[\"probability\"]\n", + " step_scores=[\"probability\"],\n", ")\n", "# Visualize the attributions and step scores\n", "out.show()" @@ -349,9 +349,7 @@ ], "source": [ "out = model.attribute(\n", - " input_texts=\"Hello everyone, hope you're enjoying the tutorial!\",\n", - " attribute_target=True,\n", - " method=\"attention\"\n", + " input_texts=\"Hello everyone, hope you're enjoying the tutorial!\", attribute_target=True, method=\"attention\"\n", ")\n", "# out[0] is a shortcut for out.sequence_attributions[0]\n", "out[0].source_attributions.shape" @@ -535,10 +533,10 @@ ], "source": [ "# Gets the mean weights of the first three attention heads only, no normalization\n", - "# do_post_aggregation_checks=False is needed since the output has >2 dimensions and \n", + "# do_post_aggregation_checks=False is needed since the output has >2 dimensions and\n", "# could not be visualized\n", "aggregated_heads_seq_attr_out = out[0].aggregate(\n", - " \"mean\", select_idx=(0,3), normalize=False, do_post_aggregation_checks=False\n", + " \"mean\", select_idx=(0, 3), normalize=False, do_post_aggregation_checks=False\n", ")\n", "\n", "# (source_len, target_len, num_layers)\n", @@ -726,7 +724,7 @@ " \"Domanda: Quanti studenti hanno partecipato alle LCL nel 2023?\"\n", ")\n", "\n", - "qa_model = inseq.load_model(\"it5/it5-base-question-answering\", \"input_x_gradient\")\n", + "qa_model = inseq.load_model(\"it5/it5-base-question-answering\", \"input_x_gradient\")\n", "out = qa_model.attribute(question, attribute_target=True, step_scores=[\"probability\"])\n", "\n", "# Aggregate only source tokens, leave target tokens as they are\n", @@ -1097,7 +1095,7 @@ " contrast_targets=\"Ho salutato la manager\",\n", " attribute_target=True,\n", " # We also visualize the score used as target using the same function as step score\n", - " step_scores=[\"contrast_prob_diff\"]\n", + " step_scores=[\"contrast_prob_diff\"],\n", ")\n", "\n", "# Weight attribution scores by the difference in probabilities\n", @@ -1212,10 +1210,18 @@ ")\n", "\n", "source_without_context = \"Do you already know when you'll be back?\"\n", - "source_with_context = \"Thank you for your help, my friend, you really saved my life. Do you already know when you'll be back?\"\n", + "source_with_context = (\n", + " \"Thank you for your help, my friend, you really saved my life. Do you already know when you'll be back?\"\n", + ")\n", "\n", - "print(\"Generation without context:\", model.generate(source_without_context, forced_bos_token_id=model.tokenizer.lang_code_to_id[\"it_IT\"]))\n", - "print(\"Generation with context:\", model.generate(source_with_context, forced_bos_token_id=model.tokenizer.lang_code_to_id[\"it_IT\"]))\n", + "print(\n", + " \"Generation without context:\",\n", + " model.generate(source_without_context, forced_bos_token_id=model.tokenizer.lang_code_to_id[\"it_IT\"]),\n", + ")\n", + "print(\n", + " \"Generation with context:\",\n", + " model.generate(source_with_context, forced_bos_token_id=model.tokenizer.lang_code_to_id[\"it_IT\"]),\n", + ")\n", "\n", "out = model.attribute(\n", " source_without_context,\n", @@ -1224,7 +1230,7 @@ " contrast_targets=\"Grazie per il tuo aiuto, mi hai davvero salvato la vita. Sai già quando tornerai?\",\n", " attribute_target=True,\n", " # We also visualize the score used as target using the same function as step score\n", - " step_scores=[\"pcxmi\", \"probability\"]\n", + " step_scores=[\"pcxmi\", \"probability\"],\n", ")\n", "\n", "out.show()" @@ -1336,8 +1342,8 @@ ], "source": [ "# Print tokens to get token indices\n", - "print([(i, x) for i, x in enumerate(model.encode(mt_target, as_targets=True).input_tokens[0])])\n", - "print([(i, x) for i, x in enumerate(model.encode(pe_target, as_targets=True).input_tokens[0])])" + "print(list(enumerate(model.encode(mt_target, as_targets=True).input_tokens[0])))\n", + "print(list(enumerate(model.encode(pe_target, as_targets=True).input_tokens[0])))" ] }, { @@ -1394,7 +1400,7 @@ " attributed_fn=\"contrast_prob_diff\",\n", " step_scores=[\"contrast_prob_diff\"],\n", " contrast_targets=pe_target,\n", - " contrast_targets_alignments=[(0,0), (1,1), (2,2), (3,4), (4,4), (5,5), (6,7), (7,9)],\n", + " contrast_targets_alignments=[(0, 0), (1, 1), (2, 2), (3, 4), (4, 4), (5, 5), (6, 7), (7, 9)],\n", ")\n", "\n", "# Reasonable alignments\n", @@ -1504,9 +1510,10 @@ "metadata": {}, "outputs": [], "source": [ - "import inseq\n", "from transformers import AutoModelForCausalLM, AutoTokenizer\n", "\n", + "import inseq\n", + "\n", "# The model is loaded in 8-bit on available GPUs using the bitsandbytes library integrated in HF Transformers\n", "# This will make the model much smaller for inference purposes, but attributions are not guaranteed to match those\n", "# of the full-precision model.\n", @@ -1930,15 +1937,16 @@ } ], "source": [ - "from inseq import FeatureAttributionOutput\n", "import pandas as pd\n", "\n", + "from inseq import FeatureAttributionOutput\n", + "\n", "scores = {}\n", "\n", "for layer_idx in range(48):\n", " curr_out = FeatureAttributionOutput.load(f\"../data/cat_outputs/layer_{layer_idx}.json\")\n", " out_dict = curr_out.get_scores_dicts(do_aggregation=False)[0]\n", - " scores[layer_idx] = [score for score in out_dict[\"target_attributions\"][\"ĠParis\"].values()][:-1]\n", + " scores[layer_idx] = list(out_dict[\"target_attributions\"][\"ĠParis\"].values())[:-1]\n", "\n", "prefix_tokens = list(out_dict[\"target_attributions\"][\"ĠParis\"].keys())\n", "attributions_df = pd.DataFrame(scores, index=prefix_tokens[:-1])\n", @@ -1989,7 +1997,7 @@ "ax.set_xticks([0.5 + i for i in range(0, attributions_df.values.shape[1], 4)])\n", "ax.set_xticklabels(list(range(0, 48, 4)))\n", "ax.set_yticklabels(attributions_df.index)\n", - "cb = plt.colorbar(h, ticks=[0, .15, .3, .45, .6, .75])\n", + "cb = plt.colorbar(h, ticks=[0, 0.15, 0.3, 0.45, 0.6, 0.75])\n", "fig.suptitle(\"What activations are contributing to predicting 'Paris' over 'Rome'?\")\n", "plt.savefig(filename)\n", "plt.show()" diff --git a/inseq/attr/__init__.py b/inseq/attr/__init__.py index ecfcaaaa..505c3aea 100644 --- a/inseq/attr/__init__.py +++ b/inseq/attr/__init__.py @@ -2,7 +2,6 @@ from .step_functions import ( STEP_SCORES_MAP, StepFunctionArgs, - StepFunctionEncoderDecoderArgs, list_step_functions, register_step_function, ) @@ -15,5 +14,4 @@ "STEP_SCORES_MAP", "extract_args", "StepFunctionArgs", - "StepFunctionEncoderDecoderArgs", ] diff --git a/inseq/attr/feat/attribution_utils.py b/inseq/attr/feat/attribution_utils.py index 5334f171..4dddc1f6 100644 --- a/inseq/attr/feat/attribution_utils.py +++ b/inseq/attr/feat/attribution_utils.py @@ -19,7 +19,6 @@ from ...models import AttributionModel from .feature_attribution import FeatureAttribution - logger = logging.getLogger(__name__) @@ -43,7 +42,7 @@ def rescale_attributions_to_tokens( attributions: OneOrMoreAttributionSequences, tokens: OneOrMoreTokenSequences ) -> OneOrMoreAttributionSequences: return [ - attr[: len(tokens)] if not all([math.isnan(x) for x in attr]) else [] + attr[: len(tokens)] if not all(math.isnan(x) for x in attr) else [] for attr, tokens in zip(attributions, tokens) ] @@ -154,8 +153,7 @@ def get_source_target_attributions( return attr[0], None else: return attr, None + elif isinstance(attr, tuple): + return None, attr[0] else: - if isinstance(attr, tuple): - return None, attr[0] - else: - return None, attr + return None, attr diff --git a/inseq/attr/feat/internals_attribution.py b/inseq/attr/feat/internals_attribution.py index 226246fd..15458af2 100644 --- a/inseq/attr/feat/internals_attribution.py +++ b/inseq/attr/feat/internals_attribution.py @@ -29,6 +29,7 @@ class InternalsAttributionRegistry(FeatureAttribution, Registry): r"""Model Internals-based attribution method registry.""" + pass diff --git a/inseq/attr/feat/ops/lime.py b/inseq/attr/feat/ops/lime.py index eedf1f8a..19cc869c 100644 --- a/inseq/attr/feat/ops/lime.py +++ b/inseq/attr/feat/ops/lime.py @@ -1,25 +1,21 @@ import inspect +import logging import math -import warnings from functools import partial from typing import Any, Callable, Optional, cast import torch -from captum._utils.common import ( - _expand_additional_forward_args, - _expand_target, -) +from captum._utils.common import _expand_additional_forward_args, _expand_target from captum._utils.models.linear_model import SkLearnLinearModel from captum._utils.models.model import Model from captum._utils.progress import progress -from captum._utils.typing import ( - TargetType, - TensorOrTupleOfTensorsGeneric, -) +from captum._utils.typing import TargetType, TensorOrTupleOfTensorsGeneric from captum.attr import LimeBase from torch import Tensor from torch.utils.data import DataLoader, TensorDataset +logger = logging.getLogger(__name__) + class Lime(LimeBase): def __init__( @@ -135,7 +131,7 @@ def attribute( try: curr_sample = next(perturb_generator) except StopIteration: - warnings.warn("Generator completed prior to given n_samples iterations!") + logger.warning("Generator completed prior to given n_samples iterations!") break else: curr_sample = self.perturb_func(inputs, **kwargs) diff --git a/inseq/attr/feat/ops/sequential_integrated_gradients.py b/inseq/attr/feat/ops/sequential_integrated_gradients.py index 92322815..b89074d1 100644 --- a/inseq/attr/feat/ops/sequential_integrated_gradients.py +++ b/inseq/attr/feat/ops/sequential_integrated_gradients.py @@ -151,7 +151,10 @@ def attribute( # type: ignore method: str = "gausslegendre", internal_batch_size: Union[None, int] = None, return_convergence_delta: bool = False, - ) -> Union[TensorOrTupleOfTensorsGeneric, Tuple[TensorOrTupleOfTensorsGeneric, Tensor],]: + ) -> Union[ + TensorOrTupleOfTensorsGeneric, + Tuple[TensorOrTupleOfTensorsGeneric, Tensor], + ]: r""" This method attributes the output of the model with given target index (in case it is provided, otherwise it assumes that output is a diff --git a/inseq/data/data_utils.py b/inseq/data/data_utils.py index bee299a3..2b8e8f98 100644 --- a/inseq/data/data_utils.py +++ b/inseq/data/data_utils.py @@ -114,7 +114,7 @@ def _eq(self_attr: TensorClass, other_attr: TensorClass) -> bool: if isinstance(self_attr, torch.Tensor): return torch.allclose(self_attr, other_attr, equal_nan=True) elif isinstance(self_attr, dict): - return all([TensorWrapper._eq(self_attr[k], other_attr[k]) for k in self_attr.keys()]) + return all(TensorWrapper._eq(self_attr[k], other_attr[k]) for k in self_attr.keys()) else: return self_attr == other_attr except: # noqa: E722 diff --git a/inseq/models/attribution_model.py b/inseq/models/attribution_model.py index 05bb88c9..a7c20a82 100644 --- a/inseq/models/attribution_model.py +++ b/inseq/models/attribution_model.py @@ -5,7 +5,7 @@ import torch -from ..attr import STEP_SCORES_MAP, StepFunctionArgs, StepFunctionEncoderDecoderArgs +from ..attr import STEP_SCORES_MAP, StepFunctionArgs from ..attr.feat import FeatureAttribution, extract_args, join_token_ids from ..data import ( BatchEncoding, @@ -144,8 +144,9 @@ def get_text_sequences( raise NotImplementedError() @staticmethod + @abstractmethod def get_step_function_reserved_args() -> List[str]: - return [f.name for f in StepFunctionEncoderDecoderArgs.__dataclass_fields__.values()] + raise NotImplementedError() @staticmethod def format_contrast_targets_alignments( diff --git a/inseq/utils/alignment_utils.py b/inseq/utils/alignment_utils.py index 321b17d4..14271677 100644 --- a/inseq/utils/alignment_utils.py +++ b/inseq/utils/alignment_utils.py @@ -107,7 +107,7 @@ def compute_word_aligns( align_words = set() for i, j in align_subwords: align_words.add((sub2word_map_src[i], sub2word_map_tgt[j])) - word_alignments = [(a_idx, b_idx) for a_idx, b_idx in sorted(align_words, key=lambda x: (x[0], x[1]))] + word_alignments = sorted(align_words, key=lambda x: (x[0], x[1])) return AlignedSequences( source_tokens=src.copy(), target_tokens=tgt.copy(), @@ -246,7 +246,7 @@ def auto_align_sequences( rm_b_idx = removed_b_token_idxs[removed_b_tokens.index(rm_a)] aligned_special_tokens.append((rm_a_idx, rm_b_idx)) else: - aligned_special_tokens = [(rm_a, rm_b) for rm_a, rm_b in zip(removed_a_token_idxs, removed_b_token_idxs)] + aligned_special_tokens = list(zip(removed_a_token_idxs, removed_b_token_idxs)) a_word_to_token_align = align_tokenizations(a_words, clean_a_tokens) b_word_to_token_align = align_tokenizations(b_words, clean_b_tokens) # 3. Propagate word-level alignments to token-level alignments. diff --git a/inseq/utils/misc.py b/inseq/utils/misc.py index 105f9803..69172d34 100644 --- a/inseq/utils/misc.py +++ b/inseq/utils/misc.py @@ -3,7 +3,6 @@ import io import logging import math -import warnings from base64 import standard_b64decode, standard_b64encode from collections import OrderedDict from contextlib import contextmanager @@ -49,13 +48,12 @@ def _pretty_list(l: Optional[Sequence[Any]], lpad: int = 8) -> str: if all(isinstance(x, list) for x in l): line_sep = f" ],\n{' ' * lpad}[ " contents = " " * lpad + "[ " + line_sep.join([_pretty_list_contents(subl) for subl in l]) + " ]" + elif all(hasattr(x, "to_dict") for x in l): + contents = ",\n".join( + [f"{' ' * lpad + x.__class__.__name__}({pretty_dict(x.to_dict(), lpad + 4)})" for x in l] + ) else: - if all([hasattr(x, "to_dict") for x in l]): - contents = ",\n".join( - [f"{' ' * lpad + x.__class__.__name__}({pretty_dict(x.to_dict(), lpad + 4)})" for x in l] - ) - else: - contents = " " * lpad + _pretty_list_contents(l) + contents = " " * lpad + _pretty_list_contents(l) return "[\n" + contents + f"\n{' ' * (lpad - 4)}]" @@ -65,9 +63,9 @@ def pretty_list(l: Optional[Sequence[Any]], lpad: int = 8) -> str: if len(l) == 0: return "list with 0 elements" out_txt = f"list with {len(l)} elements of type {l[0].__class__.__name__}" - if all([isinstance(x, list) for x in l]): + if all(isinstance(x, list) for x in l): out_txt = f"list with {len(l)} sub-lists" - if any([len(sl) > 20 for sl in l]) or len(l) > 15: + if any(len(sl) > 20 for sl in l) or len(l) > 15: return out_txt if all(isinstance(ssl, list) for sl in l for ssl in sl): return out_txt @@ -79,7 +77,7 @@ def pretty_list(l: Optional[Sequence[Any]], lpad: int = 8) -> str: def pretty_tensor(t: Optional[Tensor] = None, lpad: int = 8) -> str: if t is None: return "None" - if t.ndim > 2 or any([x > 20 for x in t.shape]): + if t.ndim > 2 or any(x > 20 for x in t.shape): return f"{t.dtype} tensor of shape {list(t.shape)} on {t.device}" else: out_list = t.tolist() @@ -288,7 +286,7 @@ def get_module_name_from_object(obj): mod = obj.__class__.__module__ if mod == "__main__": mod = None - warnings.warn( + logger.warning( f"class {obj.__class__} seems to have been defined in the main file; unfortunately this means" " that it's module/import path is unknown, so you might have to provide cls_lookup_map when decoding" ) @@ -330,8 +328,7 @@ def save_to_file_wrapper( fh.write(txt) except TypeError as err: err.args = ( - err.args[0] - + ". A possible reason is that the file is not opened in binary mode; " + err.args[0] + ". A possible reason is that the file is not opened in binary mode; " "be sure to set file mode to something like 'wb'.", ) raise @@ -356,9 +353,7 @@ def bin_str_to_ndarray(data, order, shape, dtype): assert order in [ None, "C", - ], "specifying different memory order is not (yet) supported for binary numpy format (got order = {})".format( - order - ) + ], f"specifying different memory order is not (yet) supported for binary numpy format (got order = {order})" if data.startswith("b64.gz:"): data = standard_b64decode(data[7:]) data = gzip_decompress(data) @@ -376,7 +371,7 @@ def lists_of_numbers_to_ndarray(data, order, shape, dtype): if 0 in shape: return arr.reshape(shape) if shape != arr.shape: - warnings.warn(f"size mismatch decoding numpy array: expected {shape}, got {arr.shape}") + logger.warning(f"size mismatch decoding numpy array: expected {shape}, got {arr.shape}") return arr diff --git a/inseq/utils/serialization.py b/inseq/utils/serialization.py index d9cff76c..9cefe631 100644 --- a/inseq/utils/serialization.py +++ b/inseq/utils/serialization.py @@ -330,9 +330,8 @@ def class_instance_hook(dct: Any, cls_lookup_map: Optional[Dict[str, type]] = No if "attributes" in dct: properties.update(dct["attributes"]) obj.__json_decode__(**properties) - else: - if "attributes" in dct: - obj.__dict__ = dict(dct["attributes"]) + elif "attributes" in dct: + obj.__dict__ = dict(dct["attributes"]) return obj diff --git a/inseq/utils/torch_utils.py b/inseq/utils/torch_utils.py index 5bf4ceb9..6d23bff8 100644 --- a/inseq/utils/torch_utils.py +++ b/inseq/utils/torch_utils.py @@ -54,8 +54,7 @@ def normalize( def top_p_logits_mask(logits: torch.Tensor, top_p: float, min_tokens_to_keep: int) -> torch.Tensor: - """Adapted from https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py - """ + """Adapted from https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py""" # Compute cumulative probabilities of sorted tokens if top_p < 0 or top_p > 1.0: raise ValueError(f"`top_p` has to be a float > 0 and < 1, but is {top_p}") @@ -76,8 +75,7 @@ def top_p_logits_mask(logits: torch.Tensor, top_p: float, min_tokens_to_keep: in def top_k_logits_mask(logits: torch.Tensor, top_k: int, min_tokens_to_keep: int) -> torch.Tensor: - """Adapted from https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py - """ + """Adapted from https://github.com/huggingface/transformers/blob/main/src/transformers/generation/logits_process.py""" top_k = max(top_k, min_tokens_to_keep) return logits < logits.topk(top_k).values[..., -1, None] diff --git a/poetry.lock b/poetry.lock index 79f41c79..fc061a28 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,15 +1,13 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (<10.0.0)"] @@ -3957,7 +4027,6 @@ vision = ["Pillow (<10.0.0)"] name = "triton" version = "2.0.0" description = "A language and compiler for custom Deep Learning operations" -category = "main" optional = false python-versions = "*" files = [ @@ -3995,7 +4064,6 @@ tutorials = ["matplotlib", "pandas", "tabulate"] name = "typeguard" version = "2.13.3" description = "Run-time type checker for Python" -category = "main" optional = false python-versions = ">=3.5.3" files = [ @@ -4011,7 +4079,6 @@ test = ["mypy", "pytest", "typing-extensions"] name = "typing-extensions" version = "4.8.0" description = "Backported and Experimental Type Hints for Python 3.8+" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -4023,7 +4090,6 @@ files = [ name = "tzdata" version = "2023.3" description = "Provider of IANA time zone data" -category = "main" optional = true python-versions = ">=2" files = [ @@ -4033,14 +4099,13 @@ files = [ [[package]] name = "urllib3" -version = "2.0.6" +version = "2.0.7" description = "HTTP library with thread-safe connection pooling, file post, and more." -category = "main" optional = false python-versions = ">=3.7" files = [ - {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"}, - {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"}, + {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"}, + {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"}, ] [package.extras] @@ -4051,14 +4116,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "virtualenv" -version = "20.24.5" +version = "20.24.6" description = "Virtual Python Environment builder" -category = "dev" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"}, - {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"}, + {file = "virtualenv-20.24.6-py3-none-any.whl", hash = "sha256:520d056652454c5098a00c0f073611ccbea4c79089331f60bf9d7ba247bb7381"}, + {file = "virtualenv-20.24.6.tar.gz", hash = "sha256:02ece4f56fbf939dbbc33c0715159951d6bf14aaf5457b092e4548e1382455af"}, ] [package.dependencies] @@ -4074,7 +4138,6 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess name = "wcwidth" version = "0.2.8" description = "Measures the displayed width of unicode strings in a terminal" -category = "main" optional = true python-versions = "*" files = [ @@ -4086,7 +4149,6 @@ files = [ name = "wheel" version = "0.41.2" description = "A built-package format for Python" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -4101,7 +4163,6 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"] name = "widgetsnbextension" version = "4.0.9" description = "Jupyter interactive widgets for Jupyter Notebook" -category = "main" optional = true python-versions = ">=3.7" files = [ @@ -4113,7 +4174,6 @@ files = [ name = "xxhash" version = "3.4.1" description = "Python binding for xxHash" -category = "main" optional = true python-versions = ">=3.7" files = [ @@ -4231,7 +4291,6 @@ files = [ name = "yarl" version = "1.9.2" description = "Yet another URL library" -category = "main" optional = true python-versions = ">=3.7" files = [ @@ -4319,7 +4378,6 @@ multidict = ">=4.0" name = "zipp" version = "3.17.0" description = "Backport of pathlib-compatible object wrapper for zip files" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -4334,9 +4392,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [extras] datasets = ["datasets"] notebook = ["ipykernel", "ipywidgets"] -sklearn = ["scikit-learn", "joblib"] +sklearn = ["joblib", "scikit-learn"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<3.12" -content-hash = "f13bc01bc5c21eab75fbb86916ed107265ee4c63f7ce6c8e46e6aaad10817818" +content-hash = "8badb98d875488607f9d7fe1147050d100f3d39c6d56ece149ab070e0b67c145" diff --git a/pyproject.toml b/pyproject.toml index a695b568..780c8ec3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ # Poetry pyproject.toml: https://python-poetry.org/docs/pyproject/ [build-system] -requires = ["poetry_core>=1.2.0"] +requires = ["poetry_core>=1.6.0"] build-backend = "poetry.core.masonry.api" [tool.poetry] @@ -47,61 +47,60 @@ classifiers = [ #! Update me [tool.poetry.dependencies] python = ">=3.8.1,<3.12" -rich = "^10.13.0" +rich = ">=10.13.0" transformers = { version = ">=4.22.0", extras = ["sentencepiece", "tokenizers", "torch"] } -protobuf = "^3.20.1" -captum = "^0.6.0" -numpy = "^1.21.6" -torchtyping = "^0.1.4" +protobuf = ">=3.20.1" +captum = ">=0.6.0" +numpy = ">=1.21.6" +torchtyping = ">=0.1.4" typeguard = "<=2.13.3" # Omitting future torch releases as they don't install nvidia dependencies: https://github.com/pytorch/pytorch/issues/100974 -torch = "^2.0.0" -matplotlib = "~3.5.3" -tqdm = "^4.64.0" -poethepoet = "^0.13.1" -nvidia-cublas-cu11 = { version = "11.10.3.66", platform = 'linux' } -nvidia-cuda-cupti-cu11 = { version = "11.7.101", platform = 'linux' } -nvidia-cuda-nvrtc-cu11 = { version = "11.7.99", platform = 'linux' } -nvidia-cuda-runtime-cu11 = { version = "11.7.99", platform = 'linux' } -nvidia-cudnn-cu11 = { version = "8.5.0.96", platform = 'linux' } -nvidia-cufft-cu11 = { version = "10.9.0.58", platform = 'linux' } -nvidia-curand-cu11 = { version = "10.2.10.91", platform = 'linux' } -nvidia-cusolver-cu11 = { version = "11.4.0.1", platform = 'linux' } -nvidia-cusparse-cu11 = { version = "11.7.4.91", platform = 'linux' } -nvidia-nccl-cu11 = { version = "2.14.3", platform = 'linux' } -nvidia-nvtx-cu11 = { version = "11.7.91", platform = 'linux' } - -ipykernel = { version = "^6.19.2", optional = true } -ipywidgets = { version = "^8.0.0rc2", optional = true } -joblib = { version = "^1.2.0", optional = true } -scikit-learn = { version = "^1.1.1", optional = true } -scipy = { version = "^1.8.1", optional = true} +torch = ">=2.0.0" +matplotlib = ">=3.5.3" +tqdm = ">=4.64.0" +poethepoet = ">=0.13.1" +nvidia-cublas-cu11 = { version = ">=11.10.3.66", platform = 'linux' } +nvidia-cuda-cupti-cu11 = { version = ">=11.7.101", platform = 'linux' } +nvidia-cuda-nvrtc-cu11 = { version = ">=11.7.99", platform = 'linux' } +nvidia-cuda-runtime-cu11 = { version = ">=11.7.99", platform = 'linux' } +nvidia-cudnn-cu11 = { version = ">=8.5.0.96", platform = 'linux' } +nvidia-cufft-cu11 = { version = ">=10.9.0.58", platform = 'linux' } +nvidia-curand-cu11 = { version = ">=10.2.10.91", platform = 'linux' } +nvidia-cusolver-cu11 = { version = ">=11.4.0.1", platform = 'linux' } +nvidia-cusparse-cu11 = { version = ">=11.7.4.91", platform = 'linux' } +nvidia-nccl-cu11 = { version = ">=2.14.3", platform = 'linux' } +nvidia-nvtx-cu11 = { version = ">=11.7.91", platform = 'linux' } + +ipykernel = { version = ">=6.19.2", optional = true } +ipywidgets = { version = ">=8.0.0rc2", optional = true } +joblib = { version = ">=1.2.0", optional = true } +scikit-learn = { version = ">=1.1.1", optional = true } +scipy = { version = ">=1.8.1", optional = true} datasets = { version = ">=2.3.2", optional = true } [tool.poetry.group.docs] optional = true [tool.poetry.group.docs.dependencies] -sphinx = "^5.3.0" -sphinxemoji = "^0.2.0" -sphinxext-opengraph = "^0.4.2" -sphinx-copybutton = "^0.4.0" -sphinx-gitstamp = "^0.3.2" -sphinx-design = "^0.4.1" -furo = "^2022.12.7" +sphinx = ">=5.3.0" +sphinxemoji = ">=0.2.0" +sphinxext-opengraph = ">=0.4.2" +sphinx-copybutton = ">=0.4.0" +sphinx-gitstamp = ">=0.3.2" +sphinx-design = ">=0.4.1" +furo = ">=2022.12.7" [tool.poetry.group.lint] optional = true [tool.poetry.group.lint.dependencies] -bandit = "^1.7.4" -safety = "^2.2.0" -black = "^22.6.0" -darglint = "^1.8.1" -pre-commit = "^2.19.0" -pytest = "^7.2.0" -pytest-cov = "^4.0.0" -ruff = "^0.0.252" +bandit = ">=1.7.4" +safety = ">=2.2.0" +darglint = ">=1.8.1" +pre-commit = ">=2.19.0" +pytest = ">=7.2.0" +pytest-cov = ">=4.0.0" +ruff = ">=0.1.2" [tool.poetry.extras] sklearn = ["scikit-learn", "joblib"] @@ -113,29 +112,6 @@ upgrade-pip = "python -m pip install --upgrade pip" torch-cpu = "python -m pip install torch --index-url https://download.pytorch.org/whl/cpu" torch-cuda = "python -m pip install torch" -[tool.black] -# https://github.com/psf/black -target-version = ["py38"] -preview = true -line-length = 119 -color = true - -exclude = ''' -/( - \.git - | \.hg - | \.mypy_cache - | \.tox - | \.venv - | _build - | buck-out - | build - | dist - | env - | venv -)/ -''' - [tool.mypy] # https://mypy.readthedocs.io/en/latest/config_file.html#using-a-pyproject-toml-file @@ -209,15 +185,16 @@ exclude = [ ] fix = true ignore = [ - "C901", - "E731", - "E741", - "F821", - "C901", - "B006", - "PLR2004", - "PLR0913", - "PLR0915", + "B006", # mutable default argument + "C901", # function too complex + "E501", # line too long (handled by format) + "E731", # do not assign a lambda expression, use a def + "E741", # ambiguous variable name + "F821", # undefined name + "PLR2004", # unnamed numerical constants used + "PLR0913", # too many arguments + "PLR0915", # too many statements + "W191", # indentation contains tabs (handled by format) ] line-length = 119 select = [ @@ -227,7 +204,6 @@ select = [ "C", # flake8-comprehensions #"D", # flake8-docstrings "B", # flake8-bugbear - "Q", # flake8-quotes "I", # isort "UP", # flake8-pyupgrade "PLC", # flake8-pylint @@ -235,11 +211,13 @@ select = [ "PLR", # flake8-pylint "PLW", # flake8-pylint ] -src = ["inseq", "tests"] +src = ["inseq", "examples", "tests"] +extend-include = ["*.ipynb"] [tool.ruff.per-file-ignores] "__init__.py" = ["F401"] +"**/examples/*" = ["B018", "E402"] [tool.ruff.isort] known-first-party = ["inseq"] diff --git a/requirements-dev.txt b/requirements-dev.txt index d483cdfb..a910fa99 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -1,101 +1,101 @@ -accelerate==0.23.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -aiohttp==3.8.5 ; python_full_version >= "3.8.1" and python_version < "3.12" +accelerate==0.24.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +aiohttp==3.8.6 ; python_full_version >= "3.8.1" and python_version < "3.12" aiosignal==1.3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" alabaster==0.7.13 ; python_full_version >= "3.8.1" and python_version < "3.12" -appnope==0.1.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and platform_system == "Darwin" or python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "darwin" +appnope==0.1.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and (platform_system == "Darwin" or sys_platform == "darwin") asttokens==2.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" async-timeout==4.0.3 ; python_full_version >= "3.8.1" and python_version < "3.12" attrs==23.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -babel==2.13.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +babel==2.13.1 ; python_full_version >= "3.8.1" and python_version < "3.12" backcall==0.2.0 ; python_full_version >= "3.8.1" and python_version < "3.12" bandit==1.7.5 ; python_full_version >= "3.8.1" and python_version < "3.12" beautifulsoup4==4.12.2 ; python_full_version >= "3.8.1" and python_version < "3.12" -black==22.12.0 ; python_full_version >= "3.8.1" and python_version < "3.12" captum==0.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" certifi==2023.7.22 ; python_full_version >= "3.8.1" and python_version < "3.12" cffi==1.16.0 ; python_full_version >= "3.8.1" and python_version < "3.12" and implementation_name == "pypy" cfgv==3.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -charset-normalizer==3.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +charset-normalizer==3.3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" click==8.1.7 ; python_full_version >= "3.8.1" and python_version < "3.12" -cmake==3.27.6 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -colorama==0.4.6 ; python_full_version >= "3.8.1" and python_version < "3.12" +cmake==3.27.7 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +colorama==0.4.6 ; python_full_version >= "3.8.1" and python_version < "3.12" and (platform_system == "Windows" or sys_platform == "win32") comm==0.1.4 ; python_full_version >= "3.8.1" and python_version < "3.12" -commonmark==0.9.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +contourpy==1.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" coverage[toml]==7.3.2 ; python_full_version >= "3.8.1" and python_version < "3.12" -cycler==0.12.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +cycler==0.12.1 ; python_full_version >= "3.8.1" and python_version < "3.12" darglint==1.8.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -datasets==2.14.5 ; python_full_version >= "3.8.1" and python_version < "3.12" +datasets==2.14.6 ; python_full_version >= "3.8.1" and python_version < "3.12" debugpy==1.8.0 ; python_full_version >= "3.8.1" and python_version < "3.12" decorator==5.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" dill==0.3.7 ; python_full_version >= "3.8.1" and python_version < "3.12" distlib==0.3.7 ; python_full_version >= "3.8.1" and python_version < "3.12" -docutils==0.19 ; python_full_version >= "3.8.1" and python_version < "3.12" +docutils==0.20.1 ; python_full_version >= "3.8.1" and python_version < "3.12" dparse==0.6.3 ; python_full_version >= "3.8.1" and python_version < "3.12" exceptiongroup==1.1.3 ; python_full_version >= "3.8.1" and python_version < "3.11" executing==2.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" filelock==3.12.4 ; python_full_version >= "3.8.1" and python_version < "3.12" -fonttools==4.43.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +fonttools==4.43.1 ; python_full_version >= "3.8.1" and python_version < "3.12" frozenlist==1.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -fsspec==2023.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -fsspec[http]==2023.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -furo==2022.12.7 ; python_full_version >= "3.8.1" and python_version < "3.12" -gitdb==4.0.10 ; python_full_version >= "3.8.1" and python_version < "3.12" -gitpython==3.1.37 ; python_full_version >= "3.8.1" and python_version < "3.12" +fsspec==2023.10.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +fsspec[http]==2023.10.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +furo==2023.9.10 ; python_full_version >= "3.8.1" and python_version < "3.12" +gitdb==4.0.11 ; python_full_version >= "3.8.1" and python_version < "3.12" +gitpython==3.1.40 ; python_full_version >= "3.8.1" and python_version < "3.12" huggingface-hub==0.17.3 ; python_full_version >= "3.8.1" and python_version < "3.12" identify==2.5.30 ; python_full_version >= "3.8.1" and python_version < "3.12" idna==3.4 ; python_full_version >= "3.8.1" and python_version < "3.12" imagesize==1.4.1 ; python_full_version >= "3.8.1" and python_version < "3.12" importlib-metadata==6.8.0 ; python_full_version >= "3.8.1" and python_version < "3.10" +importlib-resources==6.1.0 ; python_full_version >= "3.8.1" and python_version < "3.10" iniconfig==2.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -ipykernel==6.25.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +ipykernel==6.26.0 ; python_full_version >= "3.8.1" and python_version < "3.12" ipython==8.12.3 ; python_full_version >= "3.8.1" and python_version < "3.12" ipywidgets==8.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" jedi==0.19.1 ; python_full_version >= "3.8.1" and python_version < "3.12" jinja2==3.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" joblib==1.3.2 ; python_full_version >= "3.8.1" and python_version < "3.12" -jupyter-client==8.3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -jupyter-core==5.3.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +jupyter-client==8.5.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +jupyter-core==5.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" jupyterlab-widgets==3.0.9 ; python_full_version >= "3.8.1" and python_version < "3.12" kiwisolver==1.4.5 ; python_full_version >= "3.8.1" and python_version < "3.12" -lit==17.0.2 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +lit==17.0.3 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +markdown-it-py==3.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" markupsafe==2.1.3 ; python_full_version >= "3.8.1" and python_version < "3.12" matplotlib-inline==0.1.6 ; python_full_version >= "3.8.1" and python_version < "3.12" -matplotlib==3.5.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +matplotlib==3.7.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +mdurl==0.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" mpmath==1.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" multidict==6.0.4 ; python_full_version >= "3.8.1" and python_version < "3.12" multiprocess==0.70.15 ; python_full_version >= "3.8.1" and python_version < "3.12" -mypy-extensions==1.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" nest-asyncio==1.5.8 ; python_full_version >= "3.8.1" and python_version < "3.12" networkx==3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" nodeenv==1.8.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -numpy==1.24.4 ; python_version < "3.12" and python_full_version >= "3.8.1" -nvidia-cublas-cu11==11.10.3.66 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-cupti-cu11==11.7.101 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-nvrtc-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-runtime-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cudnn-cu11==8.5.0.96 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cufft-cu11==10.9.0.58 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-curand-cu11==10.2.10.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cusolver-cu11==11.4.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cusparse-cu11==11.7.4.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-nccl-cu11==2.14.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-nvtx-cu11==11.7.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -packaging==21.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +numpy==1.24.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +nvidia-cublas-cu11==11.10.3.66 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-cupti-cu11==11.7.101 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-nvrtc-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-runtime-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cudnn-cu11==8.5.0.96 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cufft-cu11==10.9.0.58 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-curand-cu11==10.2.10.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cusolver-cu11==11.4.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cusparse-cu11==11.7.4.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-nccl-cu11==2.14.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-nvtx-cu11==11.7.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +packaging==23.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pandas==2.0.3 ; python_full_version >= "3.8.1" and python_version < "3.12" parso==0.8.3 ; python_full_version >= "3.8.1" and python_version < "3.12" pastel==0.2.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -pathspec==0.11.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pbr==5.11.1 ; python_full_version >= "3.8.1" and python_version < "3.12" pexpect==4.8.0 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform != "win32" pickleshare==0.7.5 ; python_full_version >= "3.8.1" and python_version < "3.12" -pillow==10.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +pillow==10.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" platformdirs==3.11.0 ; python_full_version >= "3.8.1" and python_version < "3.12" pluggy==1.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -poethepoet==0.13.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -pre-commit==2.21.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +poethepoet==0.24.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +pre-commit==3.5.0 ; python_full_version >= "3.8.1" and python_version < "3.12" prompt-toolkit==3.0.39 ; python_full_version >= "3.8.1" and python_version < "3.12" -protobuf==3.20.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -psutil==5.9.5 ; python_full_version >= "3.8.1" and python_version < "3.12" +protobuf==4.24.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +psutil==5.9.6 ; python_full_version >= "3.8.1" and python_version < "3.12" ptyprocess==0.7.0 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform != "win32" pure-eval==0.2.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pyarrow==13.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" @@ -103,7 +103,7 @@ pycparser==2.21 ; python_full_version >= "3.8.1" and python_version < "3.12" and pygments==2.16.1 ; python_full_version >= "3.8.1" and python_version < "3.12" pyparsing==3.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" pytest-cov==4.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -pytest==7.4.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +pytest==7.4.3 ; python_full_version >= "3.8.1" and python_version < "3.12" python-dateutil==2.8.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pytz==2023.3.post1 ; python_full_version >= "3.8.1" and python_version < "3.12" pywin32==306 ; sys_platform == "win32" and platform_python_implementation != "PyPy" and python_full_version >= "3.8.1" and python_version < "3.12" @@ -111,25 +111,26 @@ pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" pyzmq==25.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" regex==2023.10.3 ; python_full_version >= "3.8.1" and python_version < "3.12" requests==2.31.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -rich==10.16.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +rich==13.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" ruamel-yaml-clib==0.2.8 ; platform_python_implementation == "CPython" and python_version < "3.12" and python_full_version >= "3.8.1" -ruamel-yaml==0.17.35 ; python_full_version >= "3.8.1" and python_version < "3.12" -ruff==0.0.252 ; python_full_version >= "3.8.1" and python_version < "3.12" -safetensors==0.3.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -safety==2.3.5 ; python_full_version >= "3.8.1" and python_version < "3.12" -scikit-learn==1.3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +ruamel-yaml==0.18.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +ruff==0.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +safetensors==0.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +safety==2.3.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +scikit-learn==1.3.2 ; python_full_version >= "3.8.1" and python_version < "3.12" scipy==1.10.1 ; python_full_version >= "3.8.1" and python_version < "3.12" sentencepiece==0.1.99 ; python_full_version >= "3.8.1" and python_version < "3.12" +setuptools-scm==8.0.4 ; python_full_version >= "3.8.1" and python_version < "3.12" setuptools==68.2.2 ; python_full_version >= "3.8.1" and python_version < "3.12" six==1.16.0 ; python_full_version >= "3.8.1" and python_version < "3.12" smmap==5.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" snowballstemmer==2.2.0 ; python_full_version >= "3.8.1" and python_version < "3.12" soupsieve==2.5 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinx-basic-ng==1.0.0b2 ; python_full_version >= "3.8.1" and python_version < "3.12" -sphinx-copybutton==0.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -sphinx-design==0.4.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -sphinx-gitstamp==0.3.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -sphinx==5.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +sphinx-copybutton==0.5.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +sphinx-design==0.5.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +sphinx-gitstamp==0.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +sphinx==7.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinxcontrib-applehelp==1.0.4 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinxcontrib-devhelp==1.0.2 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinxcontrib-htmlhelp==2.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" @@ -137,27 +138,27 @@ sphinxcontrib-jsmath==1.0.1 ; python_full_version >= "3.8.1" and python_version sphinxcontrib-qthelp==1.0.3 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinxcontrib-serializinghtml==1.1.5 ; python_full_version >= "3.8.1" and python_version < "3.12" sphinxemoji==0.2.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -sphinxext-opengraph==0.4.2 ; python_full_version >= "3.8.1" and python_version < "3.12" +sphinxext-opengraph==0.8.2 ; python_full_version >= "3.8.1" and python_version < "3.12" stack-data==0.6.3 ; python_full_version >= "3.8.1" and python_version < "3.12" stevedore==5.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" sympy==1.12 ; python_full_version >= "3.8.1" and python_version < "3.12" threadpoolctl==3.2.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -tokenizers==0.13.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +tokenizers==0.14.1 ; python_full_version >= "3.8.1" and python_version < "3.12" tomli==2.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -torch==2.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +torch==2.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" torchtyping==0.1.4 ; python_full_version >= "3.8.1" and python_version < "3.12" tornado==6.3.3 ; python_full_version >= "3.8.1" and python_version < "3.12" tqdm==4.66.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -traitlets==5.11.2 ; python_full_version >= "3.8.1" and python_version < "3.12" -transformers[sentencepiece,tokenizers,torch]==4.33.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +traitlets==5.12.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +transformers[sentencepiece,tokenizers,torch]==4.34.1 ; python_full_version >= "3.8.1" and python_version < "3.12" triton==2.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" typeguard==2.13.3 ; python_full_version >= "3.8.1" and python_version < "3.12" typing-extensions==4.8.0 ; python_full_version >= "3.8.1" and python_version < "3.12" tzdata==2023.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -urllib3==2.0.6 ; python_full_version >= "3.8.1" and python_version < "3.12" -virtualenv==20.24.5 ; python_full_version >= "3.8.1" and python_version < "3.12" +urllib3==2.0.7 ; python_full_version >= "3.8.1" and python_version < "3.12" +virtualenv==20.24.6 ; python_full_version >= "3.8.1" and python_version < "3.12" wcwidth==0.2.8 ; python_full_version >= "3.8.1" and python_version < "3.12" -wheel==0.41.2 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +wheel==0.41.2 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") widgetsnbextension==4.0.9 ; python_full_version >= "3.8.1" and python_version < "3.12" xxhash==3.4.1 ; python_full_version >= "3.8.1" and python_version < "3.12" yarl==1.9.2 ; python_full_version >= "3.8.1" and python_version < "3.12" diff --git a/requirements.txt b/requirements.txt index 6c08e8e1..0ea9bba0 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,61 +1,66 @@ -accelerate==0.23.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +accelerate==0.24.0 ; python_full_version >= "3.8.1" and python_version < "3.12" captum==0.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" certifi==2023.7.22 ; python_full_version >= "3.8.1" and python_version < "3.12" -charset-normalizer==3.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -cmake==3.27.6 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -colorama==0.4.6 ; python_full_version >= "3.8.1" and python_version < "3.12" -commonmark==0.9.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -cycler==0.12.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +charset-normalizer==3.3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +cmake==3.27.7 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +colorama==0.4.6 ; python_full_version >= "3.8.1" and python_version < "3.12" and platform_system == "Windows" +contourpy==1.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +cycler==0.12.1 ; python_full_version >= "3.8.1" and python_version < "3.12" filelock==3.12.4 ; python_full_version >= "3.8.1" and python_version < "3.12" -fonttools==4.43.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -fsspec==2023.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +fonttools==4.43.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +fsspec==2023.10.0 ; python_full_version >= "3.8.1" and python_version < "3.12" huggingface-hub==0.17.3 ; python_full_version >= "3.8.1" and python_version < "3.12" idna==3.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +importlib-resources==6.1.0 ; python_full_version >= "3.8.1" and python_version < "3.10" jinja2==3.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" kiwisolver==1.4.5 ; python_full_version >= "3.8.1" and python_version < "3.12" -lit==17.0.2 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +lit==17.0.3 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +markdown-it-py==3.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" markupsafe==2.1.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -matplotlib==3.5.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +matplotlib==3.7.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +mdurl==0.1.2 ; python_full_version >= "3.8.1" and python_version < "3.12" mpmath==1.3.0 ; python_full_version >= "3.8.1" and python_version < "3.12" networkx==3.1 ; python_full_version >= "3.8.1" and python_version < "3.12" numpy==1.24.4 ; python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cublas-cu11==11.10.3.66 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-cupti-cu11==11.7.101 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-nvrtc-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cuda-runtime-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cudnn-cu11==8.5.0.96 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cufft-cu11==10.9.0.58 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-curand-cu11==10.2.10.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cusolver-cu11==11.4.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-cusparse-cu11==11.7.4.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-nccl-cu11==2.14.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -nvidia-nvtx-cu11==11.7.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" -packaging==21.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +nvidia-cublas-cu11==11.10.3.66 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-cupti-cu11==11.7.101 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-nvrtc-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cuda-runtime-cu11==11.7.99 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cudnn-cu11==8.5.0.96 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cufft-cu11==10.9.0.58 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-curand-cu11==10.2.10.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cusolver-cu11==11.4.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-cusparse-cu11==11.7.4.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-nccl-cu11==2.14.3 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +nvidia-nvtx-cu11==11.7.91 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +packaging==23.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pastel==0.2.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -pillow==10.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -poethepoet==0.13.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -protobuf==3.20.3 ; python_full_version >= "3.8.1" and python_version < "3.12" -psutil==5.9.5 ; python_full_version >= "3.8.1" and python_version < "3.12" +pillow==10.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +poethepoet==0.24.1 ; python_full_version >= "3.8.1" and python_version < "3.12" +protobuf==4.24.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +psutil==5.9.6 ; python_full_version >= "3.8.1" and python_version < "3.12" pygments==2.16.1 ; python_full_version >= "3.8.1" and python_version < "3.12" pyparsing==3.1.1 ; python_full_version >= "3.8.1" and python_version < "3.12" python-dateutil==2.8.2 ; python_full_version >= "3.8.1" and python_version < "3.12" pyyaml==6.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" regex==2023.10.3 ; python_full_version >= "3.8.1" and python_version < "3.12" requests==2.31.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -rich==10.16.2 ; python_full_version >= "3.8.1" and python_version < "3.12" -safetensors==0.3.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +rich==13.6.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +safetensors==0.4.0 ; python_full_version >= "3.8.1" and python_version < "3.12" sentencepiece==0.1.99 ; python_full_version >= "3.8.1" and python_version < "3.12" -setuptools==68.2.2 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +setuptools-scm==8.0.4 ; python_full_version >= "3.8.1" and python_version < "3.12" +setuptools==68.2.2 ; python_full_version >= "3.8.1" and python_version < "3.12" six==1.16.0 ; python_full_version >= "3.8.1" and python_version < "3.12" sympy==1.12 ; python_full_version >= "3.8.1" and python_version < "3.12" -tokenizers==0.13.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +tokenizers==0.14.1 ; python_full_version >= "3.8.1" and python_version < "3.12" tomli==2.0.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -torch==2.1.0 ; python_full_version >= "3.8.1" and python_version < "3.12" +torch==2.0.0 ; python_full_version >= "3.8.1" and python_version < "3.12" torchtyping==0.1.4 ; python_full_version >= "3.8.1" and python_version < "3.12" tqdm==4.66.1 ; python_full_version >= "3.8.1" and python_version < "3.12" -transformers[sentencepiece,tokenizers,torch]==4.33.3 ; python_full_version >= "3.8.1" and python_version < "3.12" +transformers[sentencepiece,tokenizers,torch]==4.34.1 ; python_full_version >= "3.8.1" and python_version < "3.12" triton==2.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" typeguard==2.13.3 ; python_full_version >= "3.8.1" and python_version < "3.12" typing-extensions==4.8.0 ; python_full_version >= "3.8.1" and python_version < "3.12" -urllib3==2.0.6 ; python_full_version >= "3.8.1" and python_version < "3.12" -wheel==0.41.2 ; python_full_version >= "3.8.1" and python_version < "3.12" and sys_platform == "linux" or platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.8.1" and python_version < "3.12" +urllib3==2.0.7 ; python_full_version >= "3.8.1" and python_version < "3.12" +wheel==0.41.2 ; python_full_version >= "3.8.1" and python_version < "3.12" and (sys_platform == "linux" or platform_system == "Linux") and (sys_platform == "linux" or platform_machine == "x86_64") +zipp==3.17.0 ; python_full_version >= "3.8.1" and python_version < "3.10"