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@ -16,8 +16,6 @@ def add_codes(err_cls):
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@add_codes
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class Warnings:
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W004 = ("No text fixing enabled. Run `pip install ftfy` to enable fixing "
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"using ftfy.fix_text if necessary.")
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W005 = ("Doc object not parsed. This means displaCy won't be able to "
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"generate a dependency visualization for it. Make sure the Doc "
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"was processed with a model that supports dependency parsing, and "
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@ -51,8 +49,6 @@ class Warnings:
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W017 = ("Alias '{alias}' already exists in the Knowledge Base.")
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W018 = ("Entity '{entity}' already exists in the Knowledge Base - "
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"ignoring the duplicate entry.")
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W020 = ("Unnamed vectors. This won't allow multiple vectors models to be "
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"loaded. (Shape: {shape})")
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W021 = ("Unexpected hash collision in PhraseMatcher. Matches may be "
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"incorrect. Modify PhraseMatcher._terminal_hash to fix.")
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W024 = ("Entity '{entity}' - Alias '{alias}' combination already exists in "
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@ -65,7 +61,7 @@ class Warnings:
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"be more efficient to split your training data into multiple "
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"smaller JSON files instead.")
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W028 = ("Doc.from_array was called with a vector of type '{type}', "
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"but is expecting one of type 'uint64' instead. This may result "
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"but is expecting one of type uint64 instead. This may result "
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"in problems with the vocab further on in the pipeline.")
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W030 = ("Some entities could not be aligned in the text \"{text}\" with "
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"entities \"{entities}\". Use "
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@ -79,18 +75,17 @@ class Warnings:
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"If this is surprising, make sure you have the spacy-lookups-data "
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"package installed. The languages with lexeme normalization tables "
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"are currently: {langs}")
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W034 = ("Please install the package spacy-lookups-data in order to include "
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"the default lexeme normalization table for the language '{lang}'.")
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W035 = ('Discarding subpattern "{pattern}" due to an unrecognized '
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"attribute or operator.")
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# TODO: fix numbering after merging develop into master
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W088 = ("The pipeline component {name} implements a 'begin_training' "
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"method, which won't be called by spaCy. As of v3.0, 'begin_training' "
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"has been renamed to 'initialize' so you likely want to rename the "
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W088 = ("The pipeline component {name} implements a `begin_training` "
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"method, which won't be called by spaCy. As of v3.0, `begin_training` "
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"has been renamed to `initialize`, so you likely want to rename the "
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"component method. See the documentation for details: "
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"https://nightly.spacy.io/api/language#initialize")
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W089 = ("The nlp.begin_training method has been renamed to nlp.initialize.")
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W089 = ("As of spaCy v3.0, the `nlp.begin_training` method has been renamed "
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"to `nlp.initialize`.")
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W090 = ("Could not locate any {format} files in path '{path}'.")
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W091 = ("Could not clean/remove the temp directory at {dir}: {msg}.")
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W092 = ("Ignoring annotations for sentence starts, as dependency heads are set.")
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@ -108,39 +103,33 @@ class Warnings:
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"download a newer compatible model or retrain your custom model "
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"with the current spaCy version. For more details and available "
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"updates, run: python -m spacy validate")
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W096 = ("The method 'disable_pipes' has become deprecated - use 'select_pipes' "
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"instead.")
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W097 = ("No Model config was provided to create the '{name}' component, "
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"and no default configuration could be found either.")
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W098 = ("No Model config was provided to create the '{name}' component, "
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"so a default configuration was used.")
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W099 = ("Expected 'dict' type for the 'model' argument of pipe '{pipe}', "
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"but got '{type}' instead, so ignoring it.")
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W096 = ("The method `nlp.disable_pipes` is now deprecated - use "
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"`nlp.select_pipes` instead.")
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W100 = ("Skipping unsupported morphological feature(s): '{feature}'. "
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"Provide features as a dict {{\"Field1\": \"Value1,Value2\"}} or "
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"string \"Field1=Value1,Value2|Field2=Value3\".")
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W101 = ("Skipping `Doc` custom extension '{name}' while merging docs.")
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W101 = ("Skipping Doc custom extension '{name}' while merging docs.")
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W102 = ("Skipping unsupported user data '{key}: {value}' while merging docs.")
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W103 = ("Unknown {lang} word segmenter '{segmenter}'. Supported "
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"word segmenters: {supported}. Defaulting to {default}.")
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W104 = ("Skipping modifications for '{target}' segmenter. The current "
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"segmenter is '{current}'.")
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W105 = ("As of spaCy v3.0, the {matcher}.pipe method is deprecated. If you "
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"need to match on a stream of documents, you can use nlp.pipe and "
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W105 = ("As of spaCy v3.0, the `{matcher}.pipe` method is deprecated. If you "
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"need to match on a stream of documents, you can use `nlp.pipe` and "
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"call the {matcher} on each Doc object.")
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W107 = ("The property Doc.{prop} is deprecated. Use "
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"Doc.has_annotation(\"{attr}\") instead.")
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W107 = ("The property `Doc.{prop}` is deprecated. Use "
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"`Doc.has_annotation(\"{attr}\")` instead.")
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@add_codes
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class Errors:
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E001 = ("No component '{name}' found in pipeline. Available names: {opts}")
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E002 = ("Can't find factory for '{name}' for language {lang} ({lang_code}). "
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"This usually happens when spaCy calls nlp.{method} with custom "
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"This usually happens when spaCy calls `nlp.{method}` with custom "
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"component name that's not registered on the current language class. "
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"If you're using a custom component, make sure you've added the "
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"decorator @Language.component (for function components) or "
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"@Language.factory (for class components).\n\nAvailable "
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"decorator `@Language.component` (for function components) or "
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"`@Language.factory` (for class components).\n\nAvailable "
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"factories: {opts}")
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E003 = ("Not a valid pipeline component. Expected callable, but "
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"got {component} (name: '{name}'). If you're using a custom "
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@ -158,14 +147,13 @@ class Errors:
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E008 = ("Can't restore disabled pipeline component '{name}' because it "
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"doesn't exist in the pipeline anymore. If you want to remove "
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"components from the pipeline, you should do it before calling "
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"`nlp.select_pipes()` or after restoring the disabled components.")
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"`nlp.select_pipes` or after restoring the disabled components.")
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E010 = ("Word vectors set to length 0. This may be because you don't have "
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"a model installed or loaded, or because your model doesn't "
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"include word vectors. For more info, see the docs:\n"
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"https://nightly.spacy.io/usage/models")
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E011 = ("Unknown operator: '{op}'. Options: {opts}")
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E012 = ("Cannot add pattern for zero tokens to matcher.\nKey: {key}")
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E014 = ("Unknown tag ID: {tag}")
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E016 = ("MultitaskObjective target should be function or one of: dep, "
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"tag, ent, dep_tag_offset, ent_tag.")
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E017 = ("Can only add unicode or bytes. Got type: {value_type}")
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@ -181,27 +169,24 @@ class Errors:
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"For example, are all labels added to the model? If you're "
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"training a named entity recognizer, also make sure that none of "
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"your annotated entity spans have leading or trailing whitespace "
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"or punctuation. "
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"You can also use the experimental `debug data` command to "
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"or punctuation. You can also use the `debug data` command to "
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"validate your JSON-formatted training data. For details, run:\n"
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"python -m spacy debug data --help")
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E025 = ("String is too long: {length} characters. Max is 2**30.")
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E026 = ("Error accessing token at position {i}: out of bounds in Doc of "
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"length {length}.")
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E027 = ("Arguments 'words' and 'spaces' should be sequences of the same "
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"length, or 'spaces' should be left default at None. spaces "
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E027 = ("Arguments `words` and `spaces` should be sequences of the same "
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"length, or `spaces` should be left default at None. `spaces` "
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"should be a sequence of booleans, with True meaning that the "
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"word owns a ' ' character following it.")
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E028 = ("orths_and_spaces expects either a list of unicode string or a "
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"list of (unicode, bool) tuples. Got bytes instance: {value}")
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E029 = ("noun_chunks requires the dependency parse, which requires a "
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E028 = ("`words` expects a list of unicode strings, but got bytes instance: {value}")
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E029 = ("`noun_chunks` requires the dependency parse, which requires a "
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"statistical model to be installed and loaded. For more info, see "
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"the documentation:\nhttps://nightly.spacy.io/usage/models")
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E030 = ("Sentence boundaries unset. You can add the 'sentencizer' "
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"component to the pipeline with: "
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"nlp.add_pipe('sentencizer'). "
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"component to the pipeline with: `nlp.add_pipe('sentencizer')`. "
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"Alternatively, add the dependency parser, or set sentence "
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"boundaries by setting doc[i].is_sent_start.")
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"boundaries by setting `doc[i].is_sent_start`.")
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E031 = ("Invalid token: empty string ('') at position {i}.")
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E033 = ("Cannot load into non-empty Doc of length {length}.")
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E035 = ("Error creating span with start {start} and end {end} for Doc of "
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@ -215,7 +200,7 @@ class Errors:
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"issue here: http://github.com/explosion/spaCy/issues")
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E040 = ("Attempt to access token at {i}, max length {max_length}.")
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E041 = ("Invalid comparison operator: {op}. Likely a Cython bug?")
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E042 = ("Error accessing doc[{i}].nbor({j}), for doc of length {length}.")
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E042 = ("Error accessing `doc[{i}].nbor({j})`, for doc of length {length}.")
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E043 = ("Refusing to write to token.sent_start if its document is parsed, "
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"because this may cause inconsistent state.")
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E044 = ("Invalid value for token.sent_start: {value}. Must be one of: "
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@ -235,7 +220,7 @@ class Errors:
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E056 = ("Invalid tokenizer exception: ORTH values combined don't match "
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"original string.\nKey: {key}\nOrths: {orths}")
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E057 = ("Stepped slices not supported in Span objects. Try: "
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"list(tokens)[start:stop:step] instead.")
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"`list(tokens)[start:stop:step]` instead.")
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E058 = ("Could not retrieve vector for key {key}.")
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E059 = ("One (and only one) keyword arg must be set. Got: {kwargs}")
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E060 = ("Cannot add new key to vectors: the table is full. Current shape: "
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@ -244,7 +229,7 @@ class Errors:
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"and 63 are occupied. You can replace one by specifying the "
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"`flag_id` explicitly, e.g. "
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"`nlp.vocab.add_flag(your_func, flag_id=IS_ALPHA`.")
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E063 = ("Invalid value for flag_id: {value}. Flag IDs must be between 1 "
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E063 = ("Invalid value for `flag_id`: {value}. Flag IDs must be between 1 "
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"and 63 (inclusive).")
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E064 = ("Error fetching a Lexeme from the Vocab. When looking up a "
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"string, the lexeme returned had an orth ID that did not match "
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@ -273,7 +258,7 @@ class Errors:
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E085 = ("Can't create lexeme for string '{string}'.")
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E087 = ("Unknown displaCy style: {style}.")
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E088 = ("Text of length {length} exceeds maximum of {max_length}. The "
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"v2.x parser and NER models require roughly 1GB of temporary "
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"parser and NER models require roughly 1GB of temporary "
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"memory per 100,000 characters in the input. This means long "
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"texts may cause memory allocation errors. If you're not using "
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"the parser or NER, it's probably safe to increase the "
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@ -290,8 +275,8 @@ class Errors:
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E094 = ("Error reading line {line_num} in vectors file {loc}.")
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E095 = ("Can't write to frozen dictionary. This is likely an internal "
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"error. Are you writing to a default function argument?")
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E096 = ("Invalid object passed to displaCy: Can only visualize Doc or "
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"Span objects, or dicts if set to manual=True.")
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E096 = ("Invalid object passed to displaCy: Can only visualize `Doc` or "
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"Span objects, or dicts if set to `manual=True`.")
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E097 = ("Invalid pattern: expected token pattern (list of dicts) or "
|
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"phrase pattern (string) but got:\n{pattern}")
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E098 = ("Invalid pattern: expected both RIGHT_ID and RIGHT_ATTRS.")
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@ -308,11 +293,11 @@ class Errors:
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E103 = ("Trying to set conflicting doc.ents: '{span1}' and '{span2}'. A "
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"token can only be part of one entity, so make sure the entities "
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"you're setting don't overlap.")
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E106 = ("Can't find doc._.{attr} attribute specified in the underscore "
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E106 = ("Can't find `doc._.{attr}` attribute specified in the underscore "
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"settings: {opts}")
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E107 = ("Value of doc._.{attr} is not JSON-serializable: {value}")
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|
E107 = ("Value of `doc._.{attr}` is not JSON-serializable: {value}")
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E109 = ("Component '{name}' could not be run. Did you forget to "
|
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|
"call initialize()?")
|
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|
"call `initialize()`?")
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E110 = ("Invalid displaCy render wrapper. Expected callable, got: {obj}")
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E111 = ("Pickling a token is not supported, because tokens are only views "
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"of the parent Doc and can't exist on their own. A pickled token "
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@ -329,8 +314,8 @@ class Errors:
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E117 = ("The newly split tokens must match the text of the original token. "
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"New orths: {new}. Old text: {old}.")
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E118 = ("The custom extension attribute '{attr}' is not registered on the "
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|
"Token object so it can't be set during retokenization. To "
|
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|
"register an attribute, use the Token.set_extension classmethod.")
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|
"`Token` object so it can't be set during retokenization. To "
|
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|
"register an attribute, use the `Token.set_extension` classmethod.")
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E119 = ("Can't set custom extension attribute '{attr}' during "
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|
|
"retokenization because it's not writable. This usually means it "
|
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|
"was registered with a getter function (and no setter) or as a "
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@ -354,7 +339,7 @@ class Errors:
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E130 = ("You are running a narrow unicode build, which is incompatible "
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|
"with spacy >= 2.1.0. To fix this, reinstall Python and use a wide "
|
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|
"unicode build instead. You can also rebuild Python and set the "
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"--enable-unicode=ucs4 flag.")
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"`--enable-unicode=ucs4 flag`.")
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E131 = ("Cannot write the kb_id of an existing Span object because a Span "
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"is a read-only view of the underlying Token objects stored in "
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"the Doc. Instead, create a new Span object and specify the "
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@ -367,27 +352,20 @@ class Errors:
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E133 = ("The sum of prior probabilities for alias '{alias}' should not "
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|
"exceed 1, but found {sum}.")
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|
E134 = ("Entity '{entity}' is not defined in the Knowledge Base.")
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E137 = ("Expected 'dict' type, but got '{type}' from '{line}'. Make sure "
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"to provide a valid JSON object as input with either the `text` "
|
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|
"or `tokens` key. For more info, see the docs:\n"
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|
"https://nightly.spacy.io/api/cli#pretrain-jsonl")
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E138 = ("Invalid JSONL format for raw text '{text}'. Make sure the input "
|
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|
"includes either the `text` or `tokens` key. For more info, see "
|
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|
"the docs:\nhttps://nightly.spacy.io/api/cli#pretrain-jsonl")
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E139 = ("Knowledge Base for component '{name}' is empty. Use the methods "
|
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"kb.add_entity and kb.add_alias to add entries.")
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E139 = ("Knowledge base for component '{name}' is empty. Use the methods "
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|
|
"`kb.add_entity` and `kb.add_alias` to add entries.")
|
|
|
|
|
E140 = ("The list of entities, prior probabilities and entity vectors "
|
|
|
|
|
"should be of equal length.")
|
|
|
|
|
E141 = ("Entity vectors should be of length {required} instead of the "
|
|
|
|
|
"provided {found}.")
|
|
|
|
|
E143 = ("Labels for component '{name}' not initialized. This can be fixed "
|
|
|
|
|
"by calling add_label, or by providing a representative batch of "
|
|
|
|
|
"examples to the component's initialize method.")
|
|
|
|
|
"examples to the component's `initialize` method.")
|
|
|
|
|
E145 = ("Error reading `{param}` from input file.")
|
|
|
|
|
E146 = ("Could not access `{path}`.")
|
|
|
|
|
E146 = ("Could not access {path}.")
|
|
|
|
|
E147 = ("Unexpected error in the {method} functionality of the "
|
|
|
|
|
"EntityLinker: {msg}. This is likely a bug in spaCy, so feel free "
|
|
|
|
|
"to open an issue.")
|
|
|
|
|
"to open an issue: https://github.com/explosion/spaCy/issues")
|
|
|
|
|
E148 = ("Expected {ents} KB identifiers but got {ids}. Make sure that "
|
|
|
|
|
"each entity in `doc.ents` is assigned to a KB identifier.")
|
|
|
|
|
E149 = ("Error deserializing model. Check that the config used to create "
|
|
|
|
|
@ -395,18 +373,18 @@ class Errors:
|
|
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|
|
E150 = ("The language of the `nlp` object and the `vocab` should be the "
|
|
|
|
|
"same, but found '{nlp}' and '{vocab}' respectively.")
|
|
|
|
|
E152 = ("The attribute {attr} is not supported for token patterns. "
|
|
|
|
|
"Please use the option validate=True with Matcher, PhraseMatcher, "
|
|
|
|
|
"Please use the option `validate=True` with the Matcher, PhraseMatcher, "
|
|
|
|
|
"or EntityRuler for more details.")
|
|
|
|
|
E153 = ("The value type {vtype} is not supported for token patterns. "
|
|
|
|
|
"Please use the option validate=True with Matcher, PhraseMatcher, "
|
|
|
|
|
"or EntityRuler for more details.")
|
|
|
|
|
E154 = ("One of the attributes or values is not supported for token "
|
|
|
|
|
"patterns. Please use the option validate=True with Matcher, "
|
|
|
|
|
"patterns. Please use the option `validate=True` with the Matcher, "
|
|
|
|
|
"PhraseMatcher, or EntityRuler for more details.")
|
|
|
|
|
E155 = ("The pipeline needs to include a {pipe} in order to use "
|
|
|
|
|
"Matcher or PhraseMatcher with the attribute {attr}. "
|
|
|
|
|
"Try using nlp() instead of nlp.make_doc() or list(nlp.pipe()) "
|
|
|
|
|
"instead of list(nlp.tokenizer.pipe()).")
|
|
|
|
|
"Try using `nlp()` instead of `nlp.make_doc()` or `list(nlp.pipe())` "
|
|
|
|
|
"instead of `list(nlp.tokenizer.pipe())`.")
|
|
|
|
|
E157 = ("Can't render negative values for dependency arc start or end. "
|
|
|
|
|
"Make sure that you're passing in absolute token indices, not "
|
|
|
|
|
"relative token offsets.\nstart: {start}, end: {end}, label: "
|
|
|
|
|
@ -415,13 +393,11 @@ class Errors:
|
|
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|
|
E159 = ("Can't find table '{name}' in lookups. Available tables: {tables}")
|
|
|
|
|
E160 = ("Can't find language data file: {path}")
|
|
|
|
|
E161 = ("Found an internal inconsistency when predicting entity links. "
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue.")
|
|
|
|
|
E162 = ("Cannot evaluate textcat model on data with different labels.\n"
|
|
|
|
|
"Labels in model: {model_labels}\nLabels in evaluation "
|
|
|
|
|
"data: {eval_labels}")
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue: "
|
|
|
|
|
"https://github.com/explosion/spaCy/issues")
|
|
|
|
|
E163 = ("cumsum was found to be unstable: its last element does not "
|
|
|
|
|
"correspond to sum")
|
|
|
|
|
E164 = ("x is neither increasing nor decreasing: {}.")
|
|
|
|
|
E164 = ("x is neither increasing nor decreasing: {x}.")
|
|
|
|
|
E165 = ("Only one class present in y_true. ROC AUC score is not defined in "
|
|
|
|
|
"that case.")
|
|
|
|
|
E166 = ("Can only merge DocBins with the same value for '{param}'.\n"
|
|
|
|
|
@ -436,10 +412,10 @@ class Errors:
|
|
|
|
|
E178 = ("Each pattern should be a list of dicts, but got: {pat}. Maybe you "
|
|
|
|
|
"accidentally passed a single pattern to Matcher.add instead of a "
|
|
|
|
|
"list of patterns? If you only want to add one pattern, make sure "
|
|
|
|
|
"to wrap it in a list. For example: matcher.add('{key}', [pattern])")
|
|
|
|
|
"to wrap it in a list. For example: `matcher.add('{key}', [pattern])`")
|
|
|
|
|
E179 = ("Invalid pattern. Expected a list of Doc objects but got a single "
|
|
|
|
|
"Doc. If you only want to add one pattern, make sure to wrap it "
|
|
|
|
|
"in a list. For example: matcher.add('{key}', [doc])")
|
|
|
|
|
"in a list. For example: `matcher.add('{key}', [doc])`")
|
|
|
|
|
E180 = ("Span attributes can't be declared as required or assigned by "
|
|
|
|
|
"components, since spans are only views of the Doc. Use Doc and "
|
|
|
|
|
"Token attributes (or custom extension attributes) only and remove "
|
|
|
|
|
@ -447,17 +423,16 @@ class Errors:
|
|
|
|
|
E181 = ("Received invalid attributes for unkown object {obj}: {attrs}. "
|
|
|
|
|
"Only Doc and Token attributes are supported.")
|
|
|
|
|
E182 = ("Received invalid attribute declaration: {attr}\nDid you forget "
|
|
|
|
|
"to define the attribute? For example: {attr}.???")
|
|
|
|
|
"to define the attribute? For example: `{attr}.???`")
|
|
|
|
|
E183 = ("Received invalid attribute declaration: {attr}\nOnly top-level "
|
|
|
|
|
"attributes are supported, for example: {solution}")
|
|
|
|
|
E184 = ("Only attributes without underscores are supported in component "
|
|
|
|
|
"attribute declarations (because underscore and non-underscore "
|
|
|
|
|
"attributes are connected anyways): {attr} -> {solution}")
|
|
|
|
|
E185 = ("Received invalid attribute in component attribute declaration: "
|
|
|
|
|
"{obj}.{attr}\nAttribute '{attr}' does not exist on {obj}.")
|
|
|
|
|
E186 = ("'{tok_a}' and '{tok_b}' are different texts.")
|
|
|
|
|
"`{obj}.{attr}`\nAttribute '{attr}' does not exist on {obj}.")
|
|
|
|
|
E187 = ("Only unicode strings are supported as labels.")
|
|
|
|
|
E189 = ("Each argument to Doc.__init__ should be of equal length.")
|
|
|
|
|
E189 = ("Each argument to `Doc.__init__` should be of equal length.")
|
|
|
|
|
E190 = ("Token head out of range in `Doc.from_array()` for token index "
|
|
|
|
|
"'{index}' with value '{value}' (equivalent to relative head "
|
|
|
|
|
"index: '{rel_head_index}'). The head indices should be relative "
|
|
|
|
|
@ -471,17 +446,32 @@ class Errors:
|
|
|
|
|
"({curr_dim}).")
|
|
|
|
|
E194 = ("Unable to aligned mismatched text '{text}' and words '{words}'.")
|
|
|
|
|
E195 = ("Matcher can be called on {good} only, got {got}.")
|
|
|
|
|
E196 = ("Refusing to write to token.is_sent_end. Sentence boundaries can "
|
|
|
|
|
"only be fixed with token.is_sent_start.")
|
|
|
|
|
E196 = ("Refusing to write to `token.is_sent_end`. Sentence boundaries can "
|
|
|
|
|
"only be fixed with `token.is_sent_start`.")
|
|
|
|
|
E197 = ("Row out of bounds, unable to add row {row} for key {key}.")
|
|
|
|
|
E198 = ("Unable to return {n} most similar vectors for the current vectors "
|
|
|
|
|
"table, which contains {n_rows} vectors.")
|
|
|
|
|
E199 = ("Unable to merge 0-length span at doc[{start}:{end}].")
|
|
|
|
|
E200 = ("Specifying a base model with a pretrained component '{component}' "
|
|
|
|
|
"can not be combined with adding a pretrained Tok2Vec layer.")
|
|
|
|
|
E201 = ("Span index out of range.")
|
|
|
|
|
E199 = ("Unable to merge 0-length span at `doc[{start}:{end}]`.")
|
|
|
|
|
E200 = ("Can't yet set {attr} from Span. Vote for this feature on the "
|
|
|
|
|
"issue tracker: http://github.com/explosion/spaCy/issues")
|
|
|
|
|
|
|
|
|
|
# TODO: fix numbering after merging develop into master
|
|
|
|
|
E092 = ("The sentence-per-line IOB/IOB2 file is not formatted correctly. "
|
|
|
|
|
"Try checking whitespace and delimiters. See "
|
|
|
|
|
"https://nightly.spacy.io/api/cli#convert")
|
|
|
|
|
E093 = ("The token-per-line NER file is not formatted correctly. Try checking "
|
|
|
|
|
"whitespace and delimiters. See https://nightly.spacy.io/api/cli#convert")
|
|
|
|
|
E904 = ("Cannot initialize StaticVectors layer: nO dimension unset. This "
|
|
|
|
|
"dimension refers to the output width, after the linear projection "
|
|
|
|
|
"has been applied.")
|
|
|
|
|
E905 = ("Cannot initialize StaticVectors layer: nM dimension unset. This "
|
|
|
|
|
"dimension refers to the width of the vectors table.")
|
|
|
|
|
E906 = ("Unexpected `loss` value in pretraining objective: {loss_type}")
|
|
|
|
|
E907 = ("Unexpected `objective_type` value in pretraining objective: {objective_type}")
|
|
|
|
|
E908 = ("Can't set `spaces` without `words` in `Doc.__init__`.")
|
|
|
|
|
E909 = ("Expected {name} in parser internals. This is likely a bug in spaCy.")
|
|
|
|
|
E910 = ("Encountered NaN value when computing loss for component '{name}'.")
|
|
|
|
|
E911 = ("Invalid feature: {feat}. Must be a token attribute.")
|
|
|
|
|
E912 = ("Failed to initialize lemmatizer. Missing lemmatizer table(s) found "
|
|
|
|
|
"for mode '{mode}'. Required tables: {tables}. Found: {found}.")
|
|
|
|
|
E913 = ("Corpus path can't be None. Maybe you forgot to define it in your "
|
|
|
|
|
@ -494,44 +484,44 @@ class Errors:
|
|
|
|
|
"final score, set its weight to null in the [training.score_weights] "
|
|
|
|
|
"section of your training config.")
|
|
|
|
|
E916 = ("Can't log score for '{name}' in table: not a valid score ({score_type})")
|
|
|
|
|
E917 = ("Received invalid value {value} for 'state_type' in "
|
|
|
|
|
E917 = ("Received invalid value {value} for `state_type` in "
|
|
|
|
|
"TransitionBasedParser: only 'parser' or 'ner' are valid options.")
|
|
|
|
|
E918 = ("Received invalid value for vocab: {vocab} ({vocab_type}). Valid "
|
|
|
|
|
"values are an instance of spacy.vocab.Vocab or True to create one"
|
|
|
|
|
"values are an instance of `spacy.vocab.Vocab` or True to create one"
|
|
|
|
|
" (default).")
|
|
|
|
|
E919 = ("A textcat 'positive_label' '{pos_label}' was provided for training "
|
|
|
|
|
E919 = ("A textcat `positive_label` '{pos_label}' was provided for training "
|
|
|
|
|
"data that does not appear to be a binary classification problem "
|
|
|
|
|
"with two labels. Labels found: {labels}")
|
|
|
|
|
E920 = ("The textcat's 'positive_label' setting '{pos_label}' "
|
|
|
|
|
E920 = ("The textcat's `positive_label` setting '{pos_label}' "
|
|
|
|
|
"does not match any label in the training data or provided during "
|
|
|
|
|
"initialization. Available labels: {labels}")
|
|
|
|
|
E921 = ("The method 'set_output' can only be called on components that have "
|
|
|
|
|
"a Model with a 'resize_output' attribute. Otherwise, the output "
|
|
|
|
|
E921 = ("The method `set_output` can only be called on components that have "
|
|
|
|
|
"a Model with a `resize_output` attribute. Otherwise, the output "
|
|
|
|
|
"layer can not be dynamically changed.")
|
|
|
|
|
E922 = ("Component '{name}' has been initialized with an output dimension of "
|
|
|
|
|
"{nO} - cannot add any more labels.")
|
|
|
|
|
E923 = ("It looks like there is no proper sample data to initialize the "
|
|
|
|
|
"Model of component '{name}'. "
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue.")
|
|
|
|
|
"Model of component '{name}'. This is likely a bug in spaCy, so "
|
|
|
|
|
"feel free to open an issue: https://github.com/explosion/spaCy/issues")
|
|
|
|
|
E924 = ("The '{name}' component does not seem to be initialized properly. "
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue.")
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue: "
|
|
|
|
|
"https://github.com/explosion/spaCy/issues")
|
|
|
|
|
E925 = ("Invalid color values for displaCy visualizer: expected dictionary "
|
|
|
|
|
"mapping label names to colors but got: {obj}")
|
|
|
|
|
E926 = ("It looks like you're trying to modify nlp.{attr} directly. This "
|
|
|
|
|
E926 = ("It looks like you're trying to modify `nlp.{attr}` directly. This "
|
|
|
|
|
"doesn't work because it's an immutable computed property. If you "
|
|
|
|
|
"need to modify the pipeline, use the built-in methods like "
|
|
|
|
|
"nlp.add_pipe, nlp.remove_pipe, nlp.disable_pipe or nlp.enable_pipe "
|
|
|
|
|
"instead.")
|
|
|
|
|
"`nlp.add_pipe`, `nlp.remove_pipe`, `nlp.disable_pipe` or "
|
|
|
|
|
"`nlp.enable_pipe` instead.")
|
|
|
|
|
E927 = ("Can't write to frozen list Maybe you're trying to modify a computed "
|
|
|
|
|
"property or default function argument?")
|
|
|
|
|
E928 = ("A 'KnowledgeBase' can only be serialized to/from from a directory, "
|
|
|
|
|
E928 = ("A KnowledgeBase can only be serialized to/from from a directory, "
|
|
|
|
|
"but the provided argument {loc} points to a file.")
|
|
|
|
|
E929 = ("A 'KnowledgeBase' could not be read from {loc} - the path does "
|
|
|
|
|
"not seem to exist.")
|
|
|
|
|
E930 = ("Received invalid get_examples callback in {name}.initialize. "
|
|
|
|
|
E929 = ("Couldn't read KnowledgeBase from {loc}. The path does not seem to exist.")
|
|
|
|
|
E930 = ("Received invalid get_examples callback in `{name}.initialize`. "
|
|
|
|
|
"Expected function that returns an iterable of Example objects but "
|
|
|
|
|
"got: {obj}")
|
|
|
|
|
E931 = ("Encountered Pipe subclass without Pipe.{method} method in component "
|
|
|
|
|
E931 = ("Encountered Pipe subclass without `Pipe.{method}` method in component "
|
|
|
|
|
"'{name}'. If the component is trainable and you want to use this "
|
|
|
|
|
"method, make sure it's overwritten on the subclass. If your "
|
|
|
|
|
"component isn't trainable, add a method that does nothing or "
|
|
|
|
|
@ -544,21 +534,21 @@ class Errors:
|
|
|
|
|
"models, see the models directory: https://spacy.io/models. If you "
|
|
|
|
|
"want to create a blank model, use spacy.blank: "
|
|
|
|
|
"nlp = spacy.blank(\"{name}\")")
|
|
|
|
|
E942 = ("Executing after_{name} callback failed. Expected the function to "
|
|
|
|
|
E942 = ("Executing `after_{name}` callback failed. Expected the function to "
|
|
|
|
|
"return an initialized nlp object but got: {value}. Maybe "
|
|
|
|
|
"you forgot to return the modified object in your function?")
|
|
|
|
|
E943 = ("Executing before_creation callback failed. Expected the function to "
|
|
|
|
|
E943 = ("Executing `before_creation` callback failed. Expected the function to "
|
|
|
|
|
"return an uninitialized Language subclass but got: {value}. Maybe "
|
|
|
|
|
"you forgot to return the modified object in your function or "
|
|
|
|
|
"returned the initialized nlp object instead?")
|
|
|
|
|
E944 = ("Can't copy pipeline component '{name}' from source model '{model}': "
|
|
|
|
|
E944 = ("Can't copy pipeline component '{name}' from source '{model}': "
|
|
|
|
|
"not found in pipeline. Available components: {opts}")
|
|
|
|
|
E945 = ("Can't copy pipeline component '{name}' from source. Expected loaded "
|
|
|
|
|
"nlp object, but got: {source}")
|
|
|
|
|
E947 = ("Matcher.add received invalid 'greedy' argument: expected "
|
|
|
|
|
E947 = ("`Matcher.add` received invalid `greedy` argument: expected "
|
|
|
|
|
"a string value from {expected} but got: '{arg}'")
|
|
|
|
|
E948 = ("Matcher.add received invalid 'patterns' argument: expected "
|
|
|
|
|
"a List, but got: {arg_type}")
|
|
|
|
|
E948 = ("`Matcher.add` received invalid 'patterns' argument: expected "
|
|
|
|
|
"a list, but got: {arg_type}")
|
|
|
|
|
E949 = ("Can only create an alignment when the texts are the same.")
|
|
|
|
|
E952 = ("The section '{name}' is not a valid section in the provided config.")
|
|
|
|
|
E953 = ("Mismatched IDs received by the Tok2Vec listener: {id1} vs. {id2}")
|
|
|
|
|
@ -570,9 +560,9 @@ class Errors:
|
|
|
|
|
"for your language.")
|
|
|
|
|
E956 = ("Can't find component '{name}' in [components] block in the config. "
|
|
|
|
|
"Available components: {opts}")
|
|
|
|
|
E957 = ("Writing directly to Language.factories isn't needed anymore in "
|
|
|
|
|
"spaCy v3. Instead, you can use the @Language.factory decorator "
|
|
|
|
|
"to register your custom component factory or @Language.component "
|
|
|
|
|
E957 = ("Writing directly to `Language.factories` isn't needed anymore in "
|
|
|
|
|
"spaCy v3. Instead, you can use the `@Language.factory` decorator "
|
|
|
|
|
"to register your custom component factory or `@Language.component` "
|
|
|
|
|
"to register a simple stateless function component that just takes "
|
|
|
|
|
"a Doc and returns it.")
|
|
|
|
|
E958 = ("Language code defined in config ({bad_lang_code}) does not match "
|
|
|
|
|
@ -590,99 +580,93 @@ class Errors:
|
|
|
|
|
"component.\n\n{config}")
|
|
|
|
|
E962 = ("Received incorrect {style} for pipe '{name}'. Expected dict, "
|
|
|
|
|
"got: {cfg_type}.")
|
|
|
|
|
E963 = ("Can't read component info from @Language.{decorator} decorator. "
|
|
|
|
|
E963 = ("Can't read component info from `@Language.{decorator}` decorator. "
|
|
|
|
|
"Maybe you forgot to call it? Make sure you're using "
|
|
|
|
|
"@Language.{decorator}() instead of @Language.{decorator}.")
|
|
|
|
|
"`@Language.{decorator}()` instead of `@Language.{decorator}`.")
|
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|
|
|
E964 = ("The pipeline component factory for '{name}' needs to have the "
|
|
|
|
|
"following named arguments, which are passed in by spaCy:\n- nlp: "
|
|
|
|
|
"receives the current nlp object and lets you access the vocab\n- "
|
|
|
|
|
"name: the name of the component instance, can be used to identify "
|
|
|
|
|
"the component, output losses etc.")
|
|
|
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|
E965 = ("It looks like you're using the @Language.component decorator to "
|
|
|
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|
E965 = ("It looks like you're using the `@Language.component` decorator to "
|
|
|
|
|
"register '{name}' on a class instead of a function component. If "
|
|
|
|
|
"you need to register a class or function that *returns* a component "
|
|
|
|
|
"function, use the @Language.factory decorator instead.")
|
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|
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|
E966 = ("nlp.add_pipe now takes the string name of the registered component "
|
|
|
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|
"function, use the `@Language.factory` decorator instead.")
|
|
|
|
|
E966 = ("`nlp.add_pipe` now takes the string name of the registered component "
|
|
|
|
|
"factory, not a callable component. Expected string, but got "
|
|
|
|
|
"{component} (name: '{name}').\n\n- If you created your component "
|
|
|
|
|
"with nlp.create_pipe('name'): remove nlp.create_pipe and call "
|
|
|
|
|
"nlp.add_pipe('name') instead.\n\n- If you passed in a component "
|
|
|
|
|
"like TextCategorizer(): call nlp.add_pipe with the string name "
|
|
|
|
|
"instead, e.g. nlp.add_pipe('textcat').\n\n- If you're using a custom "
|
|
|
|
|
"component: Add the decorator @Language.component (for function "
|
|
|
|
|
"components) or @Language.factory (for class components / factories) "
|
|
|
|
|
"with `nlp.create_pipe('name')`: remove nlp.create_pipe and call "
|
|
|
|
|
"`nlp.add_pipe('name')` instead.\n\n- If you passed in a component "
|
|
|
|
|
"like `TextCategorizer()`: call `nlp.add_pipe` with the string name "
|
|
|
|
|
"instead, e.g. `nlp.add_pipe('textcat')`.\n\n- If you're using a custom "
|
|
|
|
|
"component: Add the decorator `@Language.component` (for function "
|
|
|
|
|
"components) or `@Language.factory` (for class components / factories) "
|
|
|
|
|
"to your custom component and assign it a name, e.g. "
|
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|
|
|
"@Language.component('your_name'). You can then run "
|
|
|
|
|
"nlp.add_pipe('your_name') to add it to the pipeline.")
|
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|
|
"`@Language.component('your_name')`. You can then run "
|
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|
|
"`nlp.add_pipe('your_name')` to add it to the pipeline.")
|
|
|
|
|
E967 = ("No {meta} meta information found for '{name}'. This is likely a bug in spaCy.")
|
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|
E968 = ("nlp.replace_pipe now takes the string name of the registered component "
|
|
|
|
|
E968 = ("`nlp.replace_pipe` now takes the string name of the registered component "
|
|
|
|
|
"factory, not a callable component. Expected string, but got "
|
|
|
|
|
"{component}.\n\n- If you created your component with"
|
|
|
|
|
"with nlp.create_pipe('name'): remove nlp.create_pipe and call "
|
|
|
|
|
"nlp.replace_pipe('{name}', 'name') instead.\n\n- If you passed in a "
|
|
|
|
|
"component like TextCategorizer(): call nlp.replace_pipe with the "
|
|
|
|
|
"string name instead, e.g. nlp.replace_pipe('{name}', 'textcat').\n\n"
|
|
|
|
|
"with `nlp.create_pipe('name')`: remove `nlp.create_pipe` and call "
|
|
|
|
|
"`nlp.replace_pipe('{name}', 'name')` instead.\n\n- If you passed in a "
|
|
|
|
|
"component like `TextCategorizer()`: call `nlp.replace_pipe` with the "
|
|
|
|
|
"string name instead, e.g. `nlp.replace_pipe('{name}', 'textcat')`.\n\n"
|
|
|
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|
"- If you're using a custom component: Add the decorator "
|
|
|
|
|
"@Language.component (for function components) or @Language.factory "
|
|
|
|
|
"`@Language.component` (for function components) or `@Language.factory` "
|
|
|
|
|
"(for class components / factories) to your custom component and "
|
|
|
|
|
"assign it a name, e.g. @Language.component('your_name'). You can "
|
|
|
|
|
"then run nlp.replace_pipe('{name}', 'your_name').")
|
|
|
|
|
"assign it a name, e.g. `@Language.component('your_name')`. You can "
|
|
|
|
|
"then run `nlp.replace_pipe('{name}', 'your_name')`.")
|
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|
E969 = ("Expected string values for field '{field}', but received {types} instead. ")
|
|
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|
E970 = ("Can not execute command '{str_command}'. Do you have '{tool}' installed?")
|
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|
E971 = ("Found incompatible lengths in Doc.from_array: {array_length} for the "
|
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|
|
|
E971 = ("Found incompatible lengths in `Doc.from_array`: {array_length} for the "
|
|
|
|
|
"array and {doc_length} for the Doc itself.")
|
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|
E972 = ("Example.__init__ got None for '{arg}'. Requires Doc.")
|
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|
|
|
E972 = ("`Example.__init__` got None for '{arg}'. Requires Doc.")
|
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|
E973 = ("Unexpected type for NER data")
|
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|
E974 = ("Unknown {obj} attribute: {key}")
|
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|
E976 = ("The method 'Example.from_dict' expects a {type} as {n} argument, "
|
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|
E976 = ("The method `Example.from_dict` expects a {type} as {n} argument, "
|
|
|
|
|
"but received None.")
|
|
|
|
|
E977 = ("Can not compare a MorphAnalysis with a string object. "
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue.")
|
|
|
|
|
"This is likely a bug in spaCy, so feel free to open an issue: "
|
|
|
|
|
"https://github.com/explosion/spaCy/issues")
|
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|
|
E978 = ("The {name} method takes a list of Example objects, but got: {types}")
|
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|
|
E979 = ("Cannot convert {type} to an Example object.")
|
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|
E980 = ("Each link annotation should refer to a dictionary with at most one "
|
|
|
|
|
"identifier mapping to 1.0, and all others to 0.0.")
|
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|
|
E981 = ("The offsets of the annotations for 'links' could not be aligned "
|
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|
|
|
E981 = ("The offsets of the annotations for `links` could not be aligned "
|
|
|
|
|
"to token boundaries.")
|
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|
E982 = ("The 'ent_iob' attribute of a Token should be an integer indexing "
|
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|
E982 = ("The `Token.ent_iob` attribute should be an integer indexing "
|
|
|
|
|
"into {values}, but found {value}.")
|
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|
|
E983 = ("Invalid key for '{dict}': {key}. Available keys: "
|
|
|
|
|
"{keys}")
|
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|
|
|
E984 = ("Invalid component config for '{name}': component block needs either "
|
|
|
|
|
"a key 'factory' specifying the registered function used to "
|
|
|
|
|
"initialize the component, or a key 'source' key specifying a "
|
|
|
|
|
"spaCy model to copy the component from. For example, factory = "
|
|
|
|
|
"\"ner\" will use the 'ner' factory and all other settings in the "
|
|
|
|
|
"block will be passed to it as arguments. Alternatively, source = "
|
|
|
|
|
"\"en_core_web_sm\" will copy the component from that model.\n\n{config}")
|
|
|
|
|
E985 = ("Can't load model from config file: no 'nlp' section found.\n\n{config}")
|
|
|
|
|
"a key `factory` specifying the registered function used to "
|
|
|
|
|
"initialize the component, or a key `source` key specifying a "
|
|
|
|
|
"spaCy model to copy the component from. For example, `factory = "
|
|
|
|
|
"\"ner\"` will use the 'ner' factory and all other settings in the "
|
|
|
|
|
"block will be passed to it as arguments. Alternatively, `source = "
|
|
|
|
|
"\"en_core_web_sm\"` will copy the component from that model.\n\n{config}")
|
|
|
|
|
E985 = ("Can't load model from config file: no [nlp] section found.\n\n{config}")
|
|
|
|
|
E986 = ("Could not create any training batches: check your input. "
|
|
|
|
|
"Are the train and dev paths defined? "
|
|
|
|
|
"Is 'discard_oversize' set appropriately? ")
|
|
|
|
|
E987 = ("The text of an example training instance is either a Doc or "
|
|
|
|
|
"a string, but found {type} instead.")
|
|
|
|
|
E988 = ("Could not parse any training examples. Ensure the data is "
|
|
|
|
|
"formatted correctly.")
|
|
|
|
|
E989 = ("'nlp.update()' was called with two positional arguments. This "
|
|
|
|
|
"Are the train and dev paths defined? Is `discard_oversize` set appropriately? ")
|
|
|
|
|
E989 = ("`nlp.update()` was called with two positional arguments. This "
|
|
|
|
|
"may be due to a backwards-incompatible change to the format "
|
|
|
|
|
"of the training data in spaCy 3.0 onwards. The 'update' "
|
|
|
|
|
"function should now be called with a batch of 'Example' "
|
|
|
|
|
"objects, instead of (text, annotation) tuples. ")
|
|
|
|
|
E991 = ("The function 'select_pipes' should be called with either a "
|
|
|
|
|
"'disable' argument to list the names of the pipe components "
|
|
|
|
|
"function should now be called with a batch of Example "
|
|
|
|
|
"objects, instead of `(text, annotation)` tuples. ")
|
|
|
|
|
E991 = ("The function `nlp.select_pipes` should be called with either a "
|
|
|
|
|
"`disable` argument to list the names of the pipe components "
|
|
|
|
|
"that should be disabled, or with an 'enable' argument that "
|
|
|
|
|
"specifies which pipes should not be disabled.")
|
|
|
|
|
E992 = ("The function `select_pipes` was called with `enable`={enable} "
|
|
|
|
|
"and `disable`={disable} but that information is conflicting "
|
|
|
|
|
"for the `nlp` pipeline with components {names}.")
|
|
|
|
|
E993 = ("The config for 'nlp' needs to include a key 'lang' specifying "
|
|
|
|
|
E993 = ("The config for the nlp object needs to include a key `lang` specifying "
|
|
|
|
|
"the code of the language to initialize it with (for example "
|
|
|
|
|
"'en' for English) - this can't be 'None'.\n\n{config}")
|
|
|
|
|
E996 = ("Could not parse {file}: {msg}")
|
|
|
|
|
"'en' for English) - this can't be None.\n\n{config}")
|
|
|
|
|
E997 = ("Tokenizer special cases are not allowed to modify the text. "
|
|
|
|
|
"This would map '{chunk}' to '{orth}' given token attributes "
|
|
|
|
|
"'{token_attrs}'.")
|
|
|
|
|
E999 = ("Unable to merge the `Doc` objects because they do not all share "
|
|
|
|
|
E999 = ("Unable to merge the Doc objects because they do not all share "
|
|
|
|
|
"the same `Vocab`.")
|
|
|
|
|
E1000 = ("The Chinese word segmenter is pkuseg but no pkuseg model was "
|
|
|
|
|
"loaded. Provide the name of a pretrained model or the path to "
|
|
|
|
|
@ -694,35 +678,24 @@ class Errors:
|
|
|
|
|
E1003 = ("Unsupported lemmatizer mode '{mode}'.")
|
|
|
|
|
E1004 = ("Missing lemmatizer table(s) found for lemmatizer mode '{mode}'. "
|
|
|
|
|
"Required tables: {tables}. Found: {found}. Maybe you forgot to "
|
|
|
|
|
"call nlp.initialize() to load in the data?")
|
|
|
|
|
"call `nlp.initialize()` to load in the data?")
|
|
|
|
|
E1005 = ("Unable to set attribute '{attr}' in tokenizer exception for "
|
|
|
|
|
"'{chunk}'. Tokenizer exceptions are only allowed to specify "
|
|
|
|
|
"`ORTH` and `NORM`.")
|
|
|
|
|
E1006 = ("Unable to initialize {name} model with 0 labels.")
|
|
|
|
|
"ORTH and NORM.")
|
|
|
|
|
E1007 = ("Unsupported DependencyMatcher operator '{op}'.")
|
|
|
|
|
E1008 = ("Invalid pattern: each pattern should be a list of dicts. Check "
|
|
|
|
|
"that you are providing a list of patterns as `List[List[dict]]`.")
|
|
|
|
|
E1009 = ("String for hash '{val}' not found in StringStore. Set the value "
|
|
|
|
|
"through token.morph_ instead or add the string to the "
|
|
|
|
|
"StringStore with `nlp.vocab.strings.add(string)`.")
|
|
|
|
|
E1010 = ("Unable to set entity information for token {i} which is included "
|
|
|
|
|
"in more than one span in entities, blocked, missing or outside.")
|
|
|
|
|
E1011 = ("Unsupported default '{default}' in doc.set_ents. Available "
|
|
|
|
|
E1011 = ("Unsupported default '{default}' in `doc.set_ents`. Available "
|
|
|
|
|
"options: {modes}")
|
|
|
|
|
E1012 = ("Entity spans and blocked/missing/outside spans should be "
|
|
|
|
|
"provided to doc.set_ents as lists of `Span` objects.")
|
|
|
|
|
"provided to `doc.set_ents` as lists of Span objects.")
|
|
|
|
|
E1013 = ("Invalid morph: the MorphAnalysis must have the same vocab as the "
|
|
|
|
|
"token itself. To set the morph from this MorphAnalysis, set from "
|
|
|
|
|
"the string value with: `token.set_morph(str(other_morph))`.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@add_codes
|
|
|
|
|
class TempErrors:
|
|
|
|
|
T003 = ("Resizing pretrained Tagger models is not currently supported.")
|
|
|
|
|
T007 = ("Can't yet set {attr} from Span. Vote for this feature on the "
|
|
|
|
|
"issue tracker: http://github.com/explosion/spaCy/issues")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# Deprecated model shortcuts, only used in errors and warnings
|
|
|
|
|
OLD_MODEL_SHORTCUTS = {
|
|
|
|
|
"en": "en_core_web_sm", "de": "de_core_news_sm", "es": "es_core_news_sm",
|
|
|
|
|
|
Ines Montani