💫 Industrial-strength Natural Language Processing (NLP) in Python
This report summarizes scanner evidence for explosion/spaCy, a Python project with 33,951 GitHub stars. SynthScan examined 227,869 lines of code across 1407 source files, recording 1784 pattern matches distributed across 17 syntactic categories. The legacy adjusted pattern signal is 11.0 (Moderate pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 1325 finding(s).
Are imports declared and package/API names verified? 200 finding(s).
Are wrappers, guards, and repeated structures necessary? 1430 finding(s).
Which changes need focused human review? 1784 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 1784 distinct pattern matches across 17 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | website/setup/jinja_to_js.py | 696 | def _process_filter_capitalize(self, node, **kwargs): | STRING |
| LOW | website/setup/jinja_to_js.py | 977 | def _process_test_divisibleby(self, node, **kwargs): | STRING |
| LOW | website/meta/universe.json | 5499 | "def create_presque_normalizer(nlp, name='presque_normalizer'):", | CODE |
| LOW | extra/DEVELOPER_DOCS/Code Conventions.md | 492 | def test_doc_creation_with_pos(): | CODE |
| LOW | extra/DEVELOPER_DOCS/Code Conventions.md | 526 | def test_en_tokenizer_splits_em_dash_infix(en_tokenizer): | CODE |
| LOW | extra/DEVELOPER_DOCS/Code Conventions.md | 555 | def test_phrase_matcher_validation(en_vocab): | CODE |
| LOW | spacy/util.py | 1387 | def make_first_longest_spans_filter(): | CODE |
| LOW | spacy/language.py | 2163 | def _resolve_component_status( | CODE |
| LOW | spacy/scorer.py | 262 | def score_token_attr_per_feat( | CODE |
| LOW | spacy/pipeline/spancat.py | 144 | def build_ngram_range_suggester(min_size: int, max_size: int) -> Suggester: | CODE |
| LOW | spacy/pipeline/spancat.py | 152 | def build_preset_spans_suggester(spans_key: str) -> Suggester: | CODE |
| LOW | spacy/pipeline/spancat.py | 558 | def _make_span_group_multilabel( | CODE |
| LOW | spacy/pipeline/spancat.py | 599 | def _make_span_group_singlelabel( | CODE |
| LOW | spacy/pipeline/attributeruler.py | 47 | def make_attribute_ruler_scorer(): | CODE |
| LOW | spacy/pipeline/span_ruler.py | 36 | def prioritize_new_ents_filter( | CODE |
| LOW | spacy/pipeline/span_ruler.py | 62 | def make_prioritize_new_ents_filter(): | CODE |
| LOW | spacy/pipeline/span_ruler.py | 66 | def prioritize_existing_ents_filter( | CODE |
| LOW | spacy/pipeline/span_ruler.py | 92 | def make_preserve_existing_ents_filter(): | CODE |
| LOW | spacy/pipeline/span_ruler.py | 96 | def overlapping_labeled_spans_score( | CODE |
| LOW | spacy/pipeline/span_ruler.py | 111 | def make_overlapping_labeled_spans_scorer(spans_key: str = DEFAULT_SPANS_KEY): | CODE |
| LOW | spacy/pipeline/factories.py | 727 | def make_edit_tree_lemmatizer( | CODE |
| LOW | spacy/pipeline/entity_linker.py | 47 | def make_entity_linker_scorer(): | STRING |
| LOW | spacy/pipeline/entity_linker.py | 237 | def batch_has_learnable_example(self, examples): | CODE |
| LOW | spacy/pipeline/textcat_multilabel.py | 82 | def make_textcat_multilabel_scorer(): | STRING |
| LOW | spacy/pipeline/span_finder.py | 217 | def _get_aligned_truth_scores(self, examples, ops) -> Tuple[Floats2d, Floats2d]: | STRING |
| LOW | spacy/training/batchers.py | 22 | def configure_minibatch_by_padded_size( | CODE |
| LOW | spacy/training/batchers.py | 56 | def configure_minibatch_by_words( | CODE |
| LOW | spacy/training/augment.py | 13 | def create_combined_augmenter( | CODE |
| LOW | spacy/training/augment.py | 85 | def create_orth_variants_augmenter( | CODE |
| LOW | spacy/training/augment.py | 102 | def create_lower_casing_augmenter( | CODE |
| LOW | spacy/training/augment.py | 337 | def construct_modified_raw_text(token_dict): | CODE |
| LOW | spacy/training/iob_utils.py | 63 | def _doc_to_biluo_tags_with_partial(doc: Doc) -> List[str]: | CODE |
| LOW | spacy/training/callbacks.py | 10 | def create_copy_from_base_model( | CODE |
| LOW | spacy/training/loop.py | 290 | def create_evaluation_callback( | CODE |
| LOW | spacy/training/loop.py | 356 | def create_before_to_disk_callback( | CODE |
| LOW | spacy/training/corpus.py | 199 | def make_examples_gold_preproc( | CODE |
| LOW | spacy/tests/test_displacy.py | 120 | def test_displacy_parse_spans(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 149 | def test_displacy_parse_spans_with_kb_id_options(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 184 | def test_displacy_parse_spans_different_spans_key(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 206 | def test_displacy_parse_empty_spans_key(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 236 | def test_displacy_parse_ents_with_kb_id_options(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 294 | def test_displacy_invalid_arcs(): | CODE |
| LOW | spacy/tests/test_displacy.py | 313 | def test_displacy_raises_for_wrong_type(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 337 | def test_displacy_render_wrapper(en_vocab): | CODE |
| LOW | spacy/tests/test_displacy.py | 353 | def test_displacy_render_manual_dep(): | CODE |
| LOW | spacy/tests/test_displacy.py | 375 | def test_displacy_render_manual_ent(): | CODE |
| LOW | spacy/tests/test_displacy.py | 396 | def test_displacy_render_manual_span(): | CODE |
| LOW | spacy/tests/test_displacy.py | 425 | def test_displacy_options_case(): | CODE |
| LOW | spacy/tests/test_displacy.py | 440 | def test_displacy_manual_sorted_entities(): | CODE |
| LOW | spacy/tests/test_displacy.py | 474 | def test_displacy_span_stacking(): | CODE |
| LOW | spacy/tests/test_misc.py | 79 | def test_util_ensure_path_succeeds(text): | CODE |
| LOW | spacy/tests/test_misc.py | 93 | def test_util_get_package_path(package): | CODE |
| LOW | spacy/tests/test_misc.py | 176 | def test_load_model_blank_shortcut(): | CODE |
| LOW | spacy/tests/test_misc.py | 207 | def test_is_compatible_version(version, constraint, compatible): | CODE |
| LOW | spacy/tests/test_misc.py | 225 | def test_is_unconstrained_version(constraint, expected): | CODE |
| LOW | spacy/tests/test_misc.py | 284 | def test_dot_to_dict_overrides(dot_notation, expected): | CODE |
| LOW | spacy/tests/test_misc.py | 351 | def test_util_minibatch_oversize(doc_sizes, expected_batches): | CODE |
| LOW | spacy/tests/util.py | 42 | def apply_transition_sequence(parser, doc, sequence): | CODE |
| LOW | spacy/tests/test_factory_imports.py | 65 | def test_factory_import_compatibility(factory_name, original_module, compat_module): | CODE |
| LOW | spacy/tests/README.md | 111 | def test_doc_token_api_strings(en_vocab): | CODE |
| 1090 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | spacy/pipeline/tok2vec.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/spancat.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/entity_linker.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/legacy/entity_linker.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/span_finder.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/textcat.py | 0 | learn from a batch of documents and gold-standard information, updating the pipe's model. delegates to predict and get_l | STRING |
| HIGH | spacy/pipeline/lemmatizer.py | 0 | serialize the pipe to disk. path (str / path): path to a directory. exclude (iterable[str]): string names of serializati | STRING |
| HIGH | spacy/pipeline/entity_linker.py | 0 | serialize the pipe to disk. path (str / path): path to a directory. exclude (iterable[str]): string names of serializati | STRING |
| HIGH | spacy/pipeline/legacy/entity_linker.py | 0 | serialize the pipe to disk. path (str / path): path to a directory. exclude (iterable[str]): string names of serializati | STRING |
| HIGH | spacy/pipeline/lemmatizer.py | 0 | serialize the pipe to a bytestring. exclude (iterable[str]): string names of serialization fields to exclude. returns (b | STRING |
| HIGH | spacy/pipeline/entity_linker.py | 0 | serialize the pipe to a bytestring. exclude (iterable[str]): string names of serialization fields to exclude. returns (b | STRING |
| HIGH | spacy/pipeline/legacy/entity_linker.py | 0 | serialize the pipe to a bytestring. exclude (iterable[str]): string names of serialization fields to exclude. returns (b | STRING |
| HIGH | spacy/pipeline/spancat.py | 0 | apply the pipeline's model to a batch of docs, without modifying them. docs (iterable[doc]): the documents to predict. r | STRING |
| HIGH | spacy/pipeline/span_finder.py | 0 | apply the pipeline's model to a batch of docs, without modifying them. docs (iterable[doc]): the documents to predict. r | STRING |
| HIGH | spacy/pipeline/textcat.py | 0 | apply the pipeline's model to a batch of docs, without modifying them. docs (iterable[doc]): the documents to predict. r | STRING |
| HIGH | spacy/pipeline/spancat.py | 0 | find the loss and gradient of loss for the batch of documents and their predicted scores. examples (iterable[examples]): | STRING |
| HIGH | spacy/pipeline/span_finder.py | 0 | find the loss and gradient of loss for the batch of documents and their predicted scores. examples (iterable[examples]): | STRING |
| HIGH | spacy/pipeline/textcat.py | 0 | find the loss and gradient of loss for the batch of documents and their predicted scores. examples (iterable[examples]): | STRING |
| HIGH | spacy/tests/lang/sv/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/ms/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/el/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/it/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/pt/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/ht/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/nl/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/nb/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/de/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/id/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/fr/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/es/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/en/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/fa/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'fa' language if doc is not parsed. | STRING |
| HIGH | spacy/tests/lang/da/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'tr' language if doc is not parsed. to check this test, we're constructing | STRING |
| HIGH | spacy/tests/lang/fi/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'tr' language if doc is not parsed. to check this test, we're constructing | STRING |
| HIGH | spacy/tests/lang/la/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'tr' language if doc is not parsed. to check this test, we're constructing | STRING |
| HIGH | spacy/tests/lang/tr/test_noun_chunks.py | 0 | test that noun_chunks raises value error for 'tr' language if doc is not parsed. to check this test, we're constructing | STRING |
| HIGH | spacy/lang/sl/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/sk/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ur/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/da/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/kmr/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/pl/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/vi/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/sq/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/sv/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/he/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ms/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/hy/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/am/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/nn/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ky/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/gu/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/grc/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ja/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/el/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/lb/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/it/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ca/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/cs/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| HIGH | spacy/lang/ru/examples.py | 0 | example sentences to test spacy and its language models. >>> from spacy.lang.ti.examples import sentences >>> docs = nlp | STRING |
| 58 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | spacy/compat.py | 42 | CODE | |
| LOW | spacy/compat.py | 28 | CODE | |
| LOW | spacy/compat.py | 28 | CODE | |
| LOW | spacy/compat.py | 28 | CODE | |
| LOW | spacy/compat.py | 30 | CODE | |
| LOW | spacy/compat.py | 30 | CODE | |
| LOW | spacy/compat.py | 30 | CODE | |
| LOW | spacy/compat.py | 36 | CODE | |
| LOW | spacy/compat.py | 38 | CODE | |
| LOW | spacy/util.py | 68 | CODE | |
| LOW | spacy/util.py | 68 | CODE | |
| LOW | spacy/util.py | 68 | CODE | |
| LOW | spacy/util.py | 77 | CODE | |
| LOW | spacy/util.py | 77 | CODE | |
| LOW | spacy/util.py | 78 | CODE | |
| LOW | spacy/util.py | 78 | CODE | |
| LOW | spacy/util.py | 79 | CODE | |
| LOW | spacy/util.py | 402 | CODE | |
| LOW | spacy/util.py | 1156 | CODE | |
| LOW | spacy/__init__.py | 11 | CODE | |
| LOW | spacy/__init__.py | 11 | CODE | |
| LOW | spacy/__init__.py | 11 | CODE | |
| LOW | spacy/__init__.py | 13 | CODE | |
| LOW | spacy/__init__.py | 17 | CODE | |
| LOW | spacy/__init__.py | 18 | CODE | |
| LOW | spacy/__init__.py | 20 | CODE | |
| LOW | spacy/__init__.py | 22 | CODE | |
| LOW | spacy/__init__.py | 22 | CODE | |
| LOW | spacy/__init__.py | 33 | CODE | |
| LOW | spacy/__init__.py | 33 | CODE | |
| LOW | spacy/schemas.py | 41 | CODE | |
| LOW | spacy/schemas.py | 42 | CODE | |
| LOW | spacy/schemas.py | 43 | CODE | |
| LOW | spacy/pipe_analysis.py | 11 | CODE | |
| LOW | spacy/ty.py | 17 | CODE | |
| LOW | spacy/ty.py | 18 | CODE | |
| LOW | spacy/scorer.py | 24 | CODE | |
| LOW | spacy/pipeline/__init__.py | 1 | CODE | |
| LOW | spacy/pipeline/__init__.py | 2 | CODE | |
| LOW | spacy/pipeline/__init__.py | 3 | CODE | |
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| LOW | spacy/pipeline/__init__.py | 12 | CODE | |
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| LOW | spacy/pipeline/__init__.py | 20 | CODE | |
| LOW | spacy/pipeline/legacy/__init__.py | 1 | CODE | |
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| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | website/setup/jinja_to_js.py | 458 | CODE | |
| LOW | website/setup/jinja_to_js.py | 491 | CODE | |
| LOW | website/setup/jinja_to_js.py | 651 | CODE | |
| LOW | website/setup/jinja_to_js.py | 675 | CODE | |
| LOW | website/setup/jinja_to_js.py | 886 | CODE | |
| LOW | website/setup/jinja_to_js.py | 1022 | CODE | |
| LOW | website/setup/jinja_to_js.py | 1112 | CODE | |
| LOW | spacy/util.py | 675 | CODE | |
| LOW | spacy/util.py | 940 | CODE | |
| LOW | spacy/util.py | 1810 | CODE | |
| LOW | spacy/language.py | 838 | CODE | |
| LOW | spacy/language.py | 1636 | CODE | |
| LOW | spacy/language.py | 1763 | CODE | |
| LOW | spacy/language.py | 1996 | CODE | |
| LOW | spacy/pipe_analysis.py | 17 | CODE | |
| LOW | spacy/pipe_analysis.py | 81 | CODE | |
| LOW | spacy/scorer.py | 760 | CODE | |
| LOW | spacy/scorer.py | 211 | CODE | |
| LOW | spacy/scorer.py | 262 | CODE | |
| LOW | spacy/scorer.py | 346 | CODE | |
| LOW | spacy/scorer.py | 447 | CODE | |
| LOW | spacy/scorer.py | 583 | CODE | |
| LOW | spacy/scorer.py | 652 | CODE | |
| LOW | spacy/displacy/render.py | 153 | CODE | |
| LOW | spacy/pipeline/functions.py | 82 | CODE | |
| LOW | spacy/pipeline/functions.py | 138 | CODE | |
| LOW | spacy/pipeline/tok2vec.py | 278 | CODE | |
| LOW | spacy/pipeline/lemmatizer.py | 172 | CODE | |
| LOW | spacy/pipeline/edit_tree_lemmatizer.py | 156 | CODE | |
| LOW | spacy/pipeline/edit_tree_lemmatizer.py | 176 | CODE | |
| LOW | spacy/pipeline/edit_tree_lemmatizer.py | 197 | CODE | |
| LOW | spacy/pipeline/entityruler.py | 246 | CODE | |
| LOW | spacy/pipeline/spancat.py | 449 | CODE | |
| LOW | spacy/pipeline/spancat.py | 558 | CODE | |
| LOW | spacy/pipeline/attributeruler.py | 190 | CODE | |
| LOW | spacy/pipeline/span_ruler.py | 322 | CODE | |
| LOW | spacy/pipeline/entity_linker.py | 338 | CODE | |
| LOW | spacy/pipeline/entity_linker.py | 460 | CODE | |
| LOW | spacy/pipeline/span_finder.py | 135 | CODE | |
| LOW | spacy/pipeline/span_finder.py | 217 | CODE | |
| LOW | spacy/pipeline/textcat.py | 262 | CODE | |
| LOW | spacy/pipeline/legacy/entity_linker.py | 139 | CODE | |
| LOW | spacy/pipeline/legacy/entity_linker.py | 225 | CODE | |
| LOW | spacy/pipeline/legacy/entity_linker.py | 311 | CODE | |
| LOW | spacy/training/pretrain.py | 26 | CODE | |
| LOW | spacy/training/initialize.py | 35 | CODE | |
| LOW | spacy/training/initialize.py | 210 | CODE | |
| LOW | spacy/training/batchers.py | 134 | CODE | |
| LOW | spacy/training/augment.py | 164 | CODE | |
| LOW | spacy/training/augment.py | 219 | CODE | |
| LOW | spacy/training/iob_utils.py | 71 | CODE | |
| LOW | spacy/training/iob_utils.py | 194 | CODE | |
| LOW | spacy/training/loop.py | 35 | CODE | |
| LOW | spacy/training/loop.py | 153 | CODE | |
| LOW | spacy/training/loop.py | 373 | CODE | |
| LOW | spacy/training/corpus.py | 84 | CODE | |
| LOW | spacy/training/corpus.py | 184 | CODE | |
| LOW | spacy/training/corpus.py | 212 | CODE | |
| LOW | spacy/training/corpus.py | 261 | CODE | |
| LOW | spacy/training/corpus.py | 311 | CODE | |
| 56 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | spacy/util.py | 439 | def set_lang_class(name: str, cls: Type["Language"]) -> None: | CODE |
| LOW | spacy/util.py | 1597 | def set_dot_to_object(config: Config, section: str, value: Any) -> None: | CODE |
| LOW | spacy/lookups.py | 210 | def set_table(self, name: str, table: Table) -> None: | CODE |
| LOW | spacy/language.py | 436 | def set_factory_meta(cls, name: str, value: "FactoryMeta") -> None: | CODE |
| LOW | spacy/displacy/__init__.py | 257 | def set_render_wrapper(func: Callable[[str], str]) -> None: | CODE |
| LOW | spacy/pipeline/functions.py | 102 | def _set_config(self, config: Dict[str, Any] = {}) -> None: | CODE |
| LOW | spacy/pipeline/tok2vec.py | 123 | def set_annotations(self, docs: Sequence[Doc], tokvecses) -> None: | CODE |
| LOW | spacy/pipeline/spancat.py | 380 | def set_annotations(self, docs: Iterable[Doc], indices_scores) -> None: | CODE |
| LOW | spacy/pipeline/__init__.py | 22 | __all__ = [ | CODE |
| LOW | spacy/pipeline/entity_linker.py | 460 | def set_annotations(self, docs: Iterable[Doc], kb_ids: List[str]) -> None: | CODE |
| LOW | spacy/pipeline/span_finder.py | 135 | def set_annotations(self, docs: Iterable[Doc], scores: Floats2d) -> None: | STRING |
| LOW | spacy/pipeline/textcat.py | 170 | def set_annotations(self, docs: Iterable[Doc], scores) -> None: | STRING |
| LOW | spacy/pipeline/legacy/__init__.py | 3 | __all__ = ["EntityLinker_v1"] | CODE |
| LOW | spacy/pipeline/legacy/entity_linker.py | 311 | def set_annotations(self, docs: Iterable[Doc], kb_ids: List[str]) -> None: | CODE |
| LOW | spacy/kb/__init__.py | 5 | __all__ = [ | CODE |
| LOW | spacy/training/__init__.py | 20 | __all__ = [ | CODE |
| LOW | spacy/cli/init_pipeline.py | 95 | def update_lexemes(nlp: Language, jsonl_loc: Path) -> None: | CODE |
| LOW | spacy/matcher/__init__.py | 6 | __all__ = ["DependencyMatcher", "Matcher", "PhraseMatcher", "levenshtein"] | CODE |
| LOW | spacy/lang/sl/__init__.py | 22 | __all__ = ["Slovenian"] | CODE |
| LOW | spacy/lang/sk/__init__.py | 16 | __all__ = ["Slovak"] | CODE |
| LOW | spacy/lang/ur/__init__.py | 19 | __all__ = ["Urdu"] | CODE |
| LOW | spacy/lang/kmr/__init__.py | 16 | __all__ = ["Kurmanji"] | CODE |
| LOW | spacy/lang/pl/__init__.py | 55 | __all__ = ["Polish"] | CODE |
| LOW | spacy/lang/vi/__init__.py | 132 | def _set_config(self, config: Dict[str, Any] = {}) -> None: | CODE |
| LOW | spacy/lang/vi/__init__.py | 167 | __all__ = ["Vietnamese"] | CODE |
| LOW | spacy/lang/sq/__init__.py | 14 | __all__ = ["Albanian"] | CODE |
| LOW | spacy/lang/sv/__init__.py | 52 | __all__ = ["Swedish"] | CODE |
| LOW | spacy/lang/ga/__init__.py | 33 | __all__ = ["Irish"] | CODE |
| LOW | spacy/lang/he/__init__.py | 17 | __all__ = ["Hebrew"] | CODE |
| LOW | spacy/lang/ms/__init__.py | 24 | __all__ = ["Malay"] | CODE |
| LOW | spacy/lang/hy/__init__.py | 16 | __all__ = ["Armenian"] | CODE |
| LOW | spacy/lang/am/__init__.py | 26 | __all__ = ["Amharic"] | CODE |
| LOW | spacy/lang/nn/__init__.py | 20 | __all__ = ["NorwegianNynorsk"] | CODE |
| LOW | spacy/lang/da/__init__.py | 23 | __all__ = ["Danish"] | CODE |
| LOW | spacy/lang/mr/__init__.py | 14 | __all__ = ["Marathi"] | CODE |
| LOW | spacy/lang/ky/__init__.py | 20 | __all__ = ["Kyrgyz"] | CODE |
| LOW | spacy/lang/gu/__init__.py | 14 | __all__ = ["Gujarati"] | CODE |
| LOW | spacy/lang/grc/__init__.py | 22 | __all__ = ["AncientGreek"] | CODE |
| LOW | spacy/lang/ja/__init__.py | 158 | def _set_config(self, config: Dict[str, Any] = {}) -> None: | STRING |
| LOW | spacy/lang/ja/__init__.py | 341 | __all__ = ["Japanese"] | CODE |
| LOW | spacy/lang/el/__init__.py | 53 | __all__ = ["Greek"] | CODE |
| LOW | spacy/lang/lv/__init__.py | 14 | __all__ = ["Latvian"] | CODE |
| LOW | spacy/lang/lb/__init__.py | 20 | __all__ = ["Luxembourgish"] | CODE |
| LOW | spacy/lang/it/__init__.py | 50 | __all__ = ["Italian"] | CODE |
| LOW | spacy/lang/ca/__init__.py | 53 | __all__ = ["Catalan"] | CODE |
| LOW | spacy/lang/is/__init__.py | 14 | __all__ = ["Icelandic"] | CODE |
| LOW | spacy/lang/cs/__init__.py | 16 | __all__ = ["Czech"] | CODE |
| LOW | spacy/lang/te/__init__.py | 16 | __all__ = ["Telugu"] | CODE |
| LOW | spacy/lang/ru/__init__.py | 53 | __all__ = ["Russian"] | CODE |
| LOW | spacy/lang/tl/__init__.py | 18 | __all__ = ["Tagalog"] | CODE |
| LOW | spacy/lang/ro/__init__.py | 26 | __all__ = ["Romanian"] | CODE |
| LOW | spacy/lang/hsb/__init__.py | 18 | __all__ = ["UpperSorbian"] | CODE |
| LOW | spacy/lang/yo/__init__.py | 16 | __all__ = ["Yoruba"] | CODE |
| LOW | spacy/lang/sa/__init__.py | 16 | __all__ = ["Sanskrit"] | CODE |
| LOW | spacy/lang/pt/__init__.py | 23 | __all__ = ["Portuguese"] | CODE |
| LOW | spacy/lang/zh/__init__.py | 146 | def _set_config(self, config: Dict[str, Any] = {}) -> None: | STRING |
| LOW | spacy/lang/zh/__init__.py | 336 | __all__ = ["Chinese"] | STRING |
| LOW | spacy/lang/uk/__init__.py | 53 | __all__ = ["Ukrainian"] | CODE |
| LOW | spacy/lang/sr/__init__.py | 21 | __all__ = ["Serbian"] | CODE |
| LOW | spacy/lang/si/__init__.py | 16 | __all__ = ["Sinhala"] | CODE |
| 42 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | setup.py | 136 | except Exception: | CODE |
| HIGH | setup.py | 144 | except Exception: | CODE |
| HIGH | website/setup/jinja_to_js.py | 259 | except ExtendsException: | CODE |
| HIGH | spacy/util.py | 890 | except Exception: | CODE |
| HIGH | spacy/util.py | 1152 | except NameError: | CODE |
| HIGH | spacy/util.py | 1159 | except ImportError: | CODE |
| HIGH | spacy/util.py | 245 | except catalogue.RegistryError: | CODE |
| HIGH | spacy/util.py | 281 | except catalogue.RegistryError: | CODE |
| HIGH | spacy/language.py | 1503 | except StopIteration: | CODE |
| HIGH | spacy/language.py | 1509 | except StopIteration: | CODE |
| HIGH | spacy/tests/conftest.py | 18 | except ValueError: | CODE |
| HIGH | spacy/tests/test_misc.py | 160 | except ImportError: | CODE |
| HIGH | spacy/tests/test_models.py | 163 | except Exception: | CODE |
| HIGH | spacy/tests/test_models.py | 173 | except Exception: | CODE |
| HIGH | spacy/tests/test_language.py | 27 | except ImportError: | CODE |
| HIGH | spacy/tests/vocab_vectors/test_memory_zone.py | 49 | except ValueError: | CODE |
| HIGH | spacy/cli/info.py | 159 | except Exception: | CODE |
| HIGH | spacy/lang/nl/lemmatizer.py | 78 | except KeyError: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | website/meta/universe.json | 100 | "# Define the language for the sentence as well as for the spaCy and benepar models", | CODE |
| MEDIUM⚡ | website/meta/universe.json | 104 | "# Create the pipeline (note, the required models will be downloaded and installed automatically)", | CODE |
| MEDIUM⚡ | website/meta/universe.json | 108 | "# Create the tree from where we are going to extract the desired noun phrases", | CODE |
| MEDIUM | website/meta/universe.json | 1387 | "# Create a new chat bot named Charlie", | CODE |
| MEDIUM | website/meta/universe.json | 3606 | "# Create a new DocBin", | CODE |
| MEDIUM | spacy/language.py | 220 | # Create the default tokenizer from the default config | COMMENT |
| MEDIUM | spacy/displacy/render.py | 326 | # Create a random ID prefix to make sure parses don't receive the | COMMENT |
| MEDIUM | spacy/pipeline/legacy/entity_linker.py | 1 | # This file is present to provide a prior version of the EntityLinker component | COMMENT |
| MEDIUM | spacy/tests/test_displacy.py | 457 | # Create a doc containing an annotated word and an unannotated HTML tag | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 151 | # Create the Entity Linker component and add it to the pipeline | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 746 | # Create the Entity Linker component and add it to the pipeline | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 852 | # Create the NER and EL components and add them to the pipeline | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 933 | # Create the Entity Linker component with the KB from file, and check the final vocab | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 1156 | # Create a ruler to mark entities | COMMENT |
| MEDIUM | spacy/tests/pipeline/test_entity_linker.py | 1282 | # Create the Entity Linker component and add it to the pipeline | COMMENT |
| MEDIUM | spacy/cli/debug_data.py | 149 | # Create the gold corpus to be able to better analyze data | COMMENT |
| MEDIUM | spacy/cli/debug_data.py | 903 | # Creating a data structure that holds the start and | COMMENT |
| MEDIUM | spacy/lang/lex_attrs.py | 185 | # This function is partially applied so lang code can be passed in | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH⚡ | website/pages/index.tsx | 52 | print("Noun phrases:", [chunk.text for chunk in doc.noun_chunks]) | CODE |
| HIGH⚡ | website/pages/index.tsx | 53 | print("Verbs:", [token.lemma_ for token in doc if token.pos_ == "VERB"]) | CODE |
| HIGH⚡ | website/pages/index.tsx | 57 | print(entity.text, entity.label_) | CODE |
| HIGH | website/src/widgets/quickstart-models.js | 105 | print([ | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | setup.py | 136 | except Exception: | CODE |
| LOW | setup.py | 144 | except Exception: | CODE |
| LOW | spacy/util.py | 890 | except Exception: | CODE |
| LOW | spacy/util.py | 1777 | except Exception as e: | CODE |
| LOW | spacy/language.py | 1057 | except Exception as e: | CODE |
| LOW | spacy/language.py | 2417 | except Exception: | CODE |
| LOW | spacy/pipeline/lemmatizer.py | 113 | except Exception as e: | CODE |
| LOW | spacy/pipeline/entityruler.py | 125 | except Exception as e: | CODE |
| LOW | spacy/pipeline/attributeruler.py | 134 | except Exception as e: | CODE |
| LOW | spacy/pipeline/span_ruler.py | 224 | except Exception as e: | CODE |
| LOW | spacy/training/loop.py | 126 | except Exception as e: | CODE |
| LOW | spacy/training/loop.py | 385 | except Exception as e: | CODE |
| LOW | spacy/tests/test_models.py | 163 | except Exception: | CODE |
| LOW | spacy/tests/test_models.py | 173 | except Exception: | CODE |
| LOW⚡ | spacy/tests/serialize/test_resource_warning.py | 117 | except Exception as e: | CODE |
| LOW⚡ | spacy/tests/serialize/test_resource_warning.py | 131 | except Exception as e: | CODE |
| LOW⚡ | spacy/tests/serialize/test_resource_warning.py | 137 | except Exception as e: | CODE |
| LOW | spacy/cli/_util.py | 195 | except Exception as e: | CODE |
| LOW | spacy/cli/info.py | 159 | except Exception: | CODE |
| LOW | spacy/cli/info.py | 197 | except Exception: | CODE |
| LOW | spacy/cli/debug_model.py | 146 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | setup.py | 129 | CODE | |
| LOW | spacy/util.py | 1380 | CODE | |
| LOW | spacy/language.py | 768 | CODE | |
| LOW | spacy/language.py | 1763 | CODE | |
| LOW | spacy/displacy/__init__.py | 76 | CODE | |
| LOW | spacy/pipeline/entityruler.py | 42 | CODE | |
| LOW | spacy/pipeline/spancat.py | 203 | CODE | |
| LOW | spacy/pipeline/span_ruler.py | 123 | CODE | |
| LOW | spacy/tests/test_language.py | 285 | CODE | |
| LOW | spacy/cli/package.py | 22 | CODE | |
| LOW | spacy/cli/package.py | 109 | CODE | |
| LOW | spacy/cli/benchmark_speed.py | 23 | CODE | |
| LOW | spacy/cli/init_pipeline.py | 24 | CODE | |
| LOW | spacy/cli/convert.py | 48 | CODE | |
| LOW | spacy/cli/convert.py | 129 | CODE | |
| LOW | spacy/cli/find_threshold.py | 27 | CODE | |
| LOW | spacy/cli/evaluate.py | 19 | CODE | |
| LOW | spacy/cli/evaluate.py | 87 | CODE | |
| LOW | spacy/cli/debug_model.py | 36 | CODE | |
| LOW | spacy/cli/debug_model.py | 250 | CODE | |
| LOW | spacy/cli/apply.py | 69 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | spacy/tests/parser/test_state.py | 28 | state.push() | CODE |
| HIGH | spacy/tests/parser/test_state.py | 32 | state.push() | CODE |
| HIGH | spacy/tests/parser/test_state.py | 45 | state.push() | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | website/meta/universe.json | 744 | "# [{'end': 8, 'start': 0, 'text': 'John Doe', 'type': 'PERSON'}, {'end': 25, 'start': 13, 'text': 'Go D | CODE |
| LOW | spacy/glossary.py | 314 | "ph": "placeholder", | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_whitespace.py | 4 | @pytest.mark.parametrize("text", ["lorem ipsum"]) | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_whitespace.py | 17 | @pytest.mark.parametrize("text", ["lorem ipsum "]) | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 317 | text = "Lorem ipsum: 1984." | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 350 | text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 350 | text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 374 | text1 = "Lorem dolor sit amet, consectetur adipiscing elit." | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 375 | text2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit." | CODE |
| LOW⚡ | spacy/tests/tokenizer/test_tokenizer.py | 375 | text2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit." | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | website/meta/universe.json | 9 | "description": "**[Temporal Expressions Normalization spaCy (TeNs)](https://github.com/iliedorobat/timespan- | CODE |
| MEDIUM | website/meta/universe.json | 5396 | "# floret n-gram embeddings robust to typos", | CODE |
| LOW | spacy/schemas.py | 102 | # binding=True. Here we just use an empty model that allows everything. | COMMENT |
| LOW | spacy/scorer.py | 724 | # None is indistinct, so we can't just add it to the set | COMMENT |
| LOW | spacy/training/loggers.py | 120 | # If we don't have a new checkpoint, just return. | COMMENT |
| LOW | spacy/tests/test_factory_registrations.py | 59 | # For Cython functions, just use a placeholder | COMMENT |
| LOW | spacy/lang/ja/__init__.py | 77 | # if there's no lemma info (it's an unk) just use the surface | STRING |
| LOW | spacy/lang/ht/lemmatizer.py | 39 | # fallback rule: just return lowercased form | COMMENT |
| LOW | spacy/ml/_precomputable_affine.py | 44 | # However, we avoid building that array for efficiency -- and just pass | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | spacy/util.py | 418 | # Check if language is registered / entry point is available | COMMENT |
| LOW | spacy/language.py | 2065 | # Check if the path actually exists in the config | COMMENT |
| LOW | spacy/lang/it/syntax_iterators.py | 57 | elif right_child.dep in np_modifs: # Check if we can expand to right | CODE |
| LOW | spacy/lang/pt/syntax_iterators.py | 56 | elif right_child.dep in np_modifs: # Check if we can expand to right | CODE |
| LOW | spacy/lang/fr/syntax_iterators.py | 58 | elif right_child.dep in np_modifs: # Check if we can expand to right | CODE |
| LOW | spacy/lang/es/syntax_iterators.py | 47 | elif right_child.dep in np_modifs: # Check if we can expand to right | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | spacy/default_config.cfg | 41 | # Whether to train on sequences with 'gold standard' sentence boundaries | COMMENT |
| LOW | spacy/lang/nl/stop_words.py | 1 | # The original stop words list (added in f46ffe3) was taken from | COMMENT |
| LOW | spacy/ml/_precomputable_affine.py | 21 | W = model.get_param("W") | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | website/meta/universe.json | 444 | "# zero shot definition of entities", | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | website/meta/universe.json | 1768 | "# For instance you can add the BertTone model for classification of sentiment polarity to the pipeline: | CODE |