# coding: utf8 from __future__ import unicode_literals # fmt: off class Messages(object): M001 = ("Download successful but linking failed") M002 = ("Creating a shortcut link for 'en' didn't work (maybe you " "don't have admin permissions?), but you can still load the " "model via its full package name: nlp = spacy.load('{name}')") M003 = ("Server error ({code})") M004 = ("Couldn't fetch {desc}. Please find a model for your spaCy " "installation (v{version}), and download it manually. For more " "details, see the documentation: https://spacy.io/usage/models") M005 = ("Compatibility error") M006 = ("No compatible models found for v{version} of spaCy.") M007 = ("No compatible model found for '{name}' (spaCy v{version}).") M008 = ("Can't locate model data") M009 = ("The data should be located in {path}") M010 = ("Can't find the spaCy data path to create model symlink") M011 = ("Make sure a directory `/data` exists within your spaCy " "installation and try again. The data directory should be " "located here:") M012 = ("Link '{name}' already exists") M013 = ("To overwrite an existing link, use the --force flag.") M014 = ("Can't overwrite symlink '{name}'") M015 = ("This can happen if your data directory contains a directory or " "file of the same name.") M016 = ("Error: Couldn't link model to '{name}'") M017 = ("Creating a symlink in spacy/data failed. Make sure you have the " "required permissions and try re-running the command as admin, or " "use a virtualenv. You can still import the model as a module and " "call its load() method, or create the symlink manually.") M018 = ("Linking successful") M019 = ("You can now load the model via spacy.load('{name}')") M020 = ("Can't find model meta.json") M021 = ("Couldn't fetch compatibility table.") M022 = ("Can't find spaCy v{version} in compatibility table") M023 = ("Installed models (spaCy v{version})") M024 = ("No models found in your current environment.") M025 = ("Use the following commands to update the model packages:") M026 = ("The following models are not available for spaCy " "v{version}: {models}") M027 = ("You may also want to overwrite the incompatible links using the " "`python -m spacy link` command with `--force`, or remove them " "from the data directory. Data path: {path}") M028 = ("Input file not found") M029 = ("Output directory not found") M030 = ("Unknown format") M031 = ("Can't find converter for {converter}") M032 = ("Generated output file {name}") M033 = ("Created {n_docs} documents") M034 = ("Evaluation data not found") M035 = ("Visualization output directory not found") M036 = ("Generated {n} parses as HTML") M037 = ("Can't find words frequencies file") M038 = ("Sucessfully compiled vocab") M039 = ("{entries} entries, {vectors} vectors") M040 = ("Output directory not found") M041 = ("Loaded meta.json from file") M042 = ("Successfully created package '{name}'") M043 = ("To build the package, run `python setup.py sdist` in this " "directory.") M044 = ("Package directory already exists") M045 = ("Please delete the directory and try again, or use the `--force` " "flag to overwrite existing directories.") M046 = ("Generating meta.json") M047 = ("Enter the package settings for your model. The following " "information will be read from your model data: pipeline, vectors.") M048 = ("No '{key}' setting found in meta.json") M049 = ("This setting is required to build your package.") M050 = ("Training data not found") M051 = ("Development data not found") M052 = ("Not a valid meta.json format") M053 = ("Expected dict but got: {meta_type}") M054 = ("No --lang specified, but tokenization required.") M055 = ("Training pipeline: {pipeline}") M056 = ("Starting with base model '{model}'") M057 = ("Starting with blank model '{model}'") M058 = ("Loading vector from model '{model}'") M059 = ("Can't use multitask objective without '{pipe}' in the pipeline") M060 = ("Counting training words (limit={limit})") M061 = ("\nSaving model...") M062 = ("Output directory is not empty.") M063 = ("Incompatible arguments") M064 = ("The -f and -c arguments are deprecated, and not compatible with " "the -j argument, which should specify the same information. " "Either merge the frequencies and clusters data into the " "JSONL-formatted file (recommended), or use only the -f and -c " "files, without the other lexical attributes.") M065 = ("This can lead to unintended side effects when saving the model. " "Please use an empty directory or a different path instead. If " "the specified output path doesn't exist, the directory will be " "created for you.") M066 = ("Saved model to output directory") M067 = ("Can't find lexical data") M068 = ("Sucessfully compiled vocab and vectors, and saved model") M069 = ("Unknown file type: '{name}'") M070 = ("Supported file types: '{options}'") M071 = ("Loaded pretrained tok2vec for: {components}") M072 = ("Model language ('{model_lang}') doesn't match language specified " "as `lang` argument ('{lang}') ") # fmt: on