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Tidy up errors

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This commit is contained in:
Ines Montani 2019-08-20 16:03:45 +02:00
parent cc76a26fe8
commit 104125edd2
1 changed files with 55 additions and 45 deletions
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100
spacy/errors.py
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@ -124,8 +124,8 @@ class Errors(object):
E016 = ("MultitaskObjective target should be function or one of: dep, "
"tag, ent, dep_tag_offset, ent_tag.")
E017 = ("Can only add unicode or bytes. Got type: {value_type}")
E018 = ("Can't retrieve string for hash '{hash_value}'. This usually refers "
"to an issue with the `Vocab` or `StringStore`.")
E018 = ("Can't retrieve string for hash '{hash_value}'. This usually "
"refers to an issue with the `Vocab` or `StringStore`.")
E019 = ("Can't create transition with unknown action ID: {action}. Action "
"IDs are enumerated in spacy/syntax/{src}.pyx.")
E020 = ("Could not find a gold-standard action to supervise the "
@ -314,9 +314,9 @@ class Errors(object):
"have been declared in previous edges.")
E102 = ("Can't merge non-disjoint spans. '{token}' is already part of "
"tokens to merge.")
E103 = ("Trying to set conflicting doc.ents: '{span1}' and '{span2}'. A token"
" can only be part of one entity, so make sure the entities you're "
"setting don't overlap.")
E103 = ("Trying to set conflicting doc.ents: '{span1}' and '{span2}'. A "
"token can only be part of one entity, so make sure the entities "
"you're setting don't overlap.")
E104 = ("Can't find JSON schema for '{name}'.")
E105 = ("The Doc.print_tree() method is now deprecated. Please use "
"Doc.to_json() instead or write your own function.")
@ -326,8 +326,8 @@ class Errors(object):
E108 = ("As of spaCy v2.1, the pipe name `sbd` has been deprecated "
"in favor of the pipe name `sentencizer`, which does the same "
"thing. For example, use `nlp.create_pipeline('sentencizer')`")
E109 = ("Model for component '{name}' not initialized. Did you forget to load "
"a model, or forget to call begin_training()?")
E109 = ("Model for component '{name}' not initialized. Did you forget to "
"load a model, or forget to call begin_training()?")
E110 = ("Invalid displaCy render wrapper. Expected callable, got: {obj}")
E111 = ("Pickling a token is not supported, because tokens are only views "
"of the parent Doc and can't exist on their own. A pickled token "
@ -352,12 +352,12 @@ class Errors(object):
E118 = ("The custom extension attribute '{attr}' is not registered on the "
"Token object so it can't be set during retokenization. To "
"register an attribute, use the Token.set_extension classmethod.")
E119 = ("Can't set custom extension attribute '{attr}' during retokenization "
"because it's not writable. This usually means it was registered "
"with a getter function (and no setter) or as a method extension, "
"so the value is computed dynamically. To overwrite a custom "
"attribute manually, it should be registered with a default value "
"or with a getter AND setter.")
E119 = ("Can't set custom extension attribute '{attr}' during "
"retokenization because it's not writable. This usually means it "
"was registered with a getter function (and no setter) or as a "
"method extension, so the value is computed dynamically. To "
"overwrite a custom attribute manually, it should be registered "
"with a default value or with a getter AND setter.")
E120 = ("Can't set custom extension attributes during retokenization. "
"Expected dict mapping attribute names to values, but got: {value}")
E121 = ("Can't bulk merge spans. Attribute length {attr_len} should be "
@ -375,50 +375,60 @@ class Errors(object):
"is now deprecated. Please use the `exclude` argument instead. "
"For example: exclude=['{arg}'].")
E129 = ("Cannot write the label of an existing Span object because a Span "
"is a read-only view of the underlying Token objects stored in the Doc. "
"Instead, create a new Span object and specify the `label` keyword argument, "
"for example:\nfrom spacy.tokens import Span\n"
"is a read-only view of the underlying Token objects stored in the "
"Doc. Instead, create a new Span object and specify the `label` "
"keyword argument, for example:\nfrom spacy.tokens import Span\n"
"span = Span(doc, start={start}, end={end}, label='{label}')")
E130 = ("You are running a narrow unicode build, which is incompatible "
"with spacy >= 2.1.0. To fix this, reinstall Python and use a wide "
"unicode build instead. You can also rebuild Python and set the "
"--enable-unicode=ucs4 flag.")
E131 = ("Cannot write the kb_id of an existing Span object because a Span "
"is a read-only view of the underlying Token objects stored in the Doc. "
"Instead, create a new Span object and specify the `kb_id` keyword argument, "
"for example:\nfrom spacy.tokens import Span\n"
"span = Span(doc, start={start}, end={end}, label='{label}', kb_id='{kb_id}')")
E132 = ("The vectors for entities and probabilities for alias '{alias}' should have equal length, "
"but found {entities_length} and {probabilities_length} respectively.")
E133 = ("The sum of prior probabilities for alias '{alias}' should not exceed 1, "
"but found {sum}.")
"is a read-only view of the underlying Token objects stored in "
"the Doc. Instead, create a new Span object and specify the "
"`kb_id` keyword argument, for example:\nfrom spacy.tokens "
"import Span\nspan = Span(doc, start={start}, end={end}, "
"label='{label}', kb_id='{kb_id}')")
E132 = ("The vectors for entities and probabilities for alias '{alias}' "
"should have equal length, but found {entities_length} and "
"{probabilities_length} respectively.")
E133 = ("The sum of prior probabilities for alias '{alias}' should not "
"exceed 1, but found {sum}.")
E134 = ("Alias '{alias}' defined for unknown entity '{entity}'.")
E135 = ("If you meant to replace a built-in component, use `create_pipe`: "
"`nlp.replace_pipe('{name}', nlp.create_pipe('{name}'))`")
E136 = ("This additional feature requires the jsonschema library to be "
"installed:\npip install jsonschema")
E137 = ("Expected 'dict' type, but got '{type}' from '{line}'. Make sure to provide a valid JSON "
"object as input with either the `text` or `tokens` key. For more info, see the docs:\n"
E137 = ("Expected 'dict' type, but got '{type}' from '{line}'. Make sure "
"to provide a valid JSON object as input with either the `text` "
"or `tokens` key. For more info, see the docs:\n"
"https://spacy.io/api/cli#pretrain-jsonl")
E138 = ("Invalid JSONL format for raw text '{text}'. Make sure the input includes either the "
"`text` or `tokens` key. For more info, see the docs:\n"
"https://spacy.io/api/cli#pretrain-jsonl")
E139 = ("Knowledge base for component '{name}' not initialized. Did you forget to call set_kb()?")
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}.")
E142 = ("Unsupported loss_function '{loss_func}'. Use either 'L2' or 'cosine'")
E143 = ("Labels for component '{name}' not initialized. Did you forget to call add_label()?")
E144 = ("Could not find parameter `{param}` when building the entity linker model.")
E138 = ("Invalid JSONL format for raw text '{text}'. Make sure the input "
"includes either the `text` or `tokens` key. For more info, see "
"the docs:\nhttps://spacy.io/api/cli#pretrain-jsonl")
E139 = ("Knowledge base for component '{name}' not initialized. Did you "
"forget to call set_kb()?")
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}.")
E142 = ("Unsupported loss_function '{loss_func}'. Use either 'L2' or "
"'cosine'.")
E143 = ("Labels for component '{name}' not initialized. Did you forget to "
"call add_label()?")
E144 = ("Could not find parameter `{param}` when building the entity "
"linker model.")
E145 = ("Error reading `{param}` from input file.")
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.")
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 the "
"component matches the model being loaded.")
E150 = ("The language of the `nlp` object and the `vocab` should be the same, "
"but found '{nlp}' and '{vocab}' respectively.")
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.")
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 "
"the component matches the model being loaded.")
E150 = ("The language of the `nlp` object and the `vocab` should be the "
"same, but found '{nlp}' and '{vocab}' respectively.")
E151 = ("Trying to call nlp.update without required annotation types. "
"Expected top-level keys: {expected_keys}."
" Got: {unexpected_keys}.")
@ -426,8 +436,8 @@ class Errors(object):
E153 = ("Either provide a path to a preprocessed training directory, "
"or to the original Wikipedia XML dump.")
E154 = ("Either the `nlp` model or the `vocab` should be specified.")
E155 = ("The `nlp` object should have access to pre-trained word vectors, cf. "
"https://spacy.io/usage/models#languages.")
E155 = ("The `nlp` object should have access to pre-trained word vectors, "
" cf. https://spacy.io/usage/models#languages.")
E156 = ("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: "