Use latest wasabi

requirements.txt

@@ -4,7 +4,7 @@ preshed>=3.0.2,<3.1.0
 thinc>=7.3.0,<7.4.0
 blis>=0.4.0,<0.5.0
 murmurhash>=0.28.0,<1.1.0
-wasabi>=0.3.0,<1.1.0
+wasabi>=0.4.0,<1.1.0
 srsly>=0.1.0,<1.1.0
 # Third party dependencies
 numpy>=1.15.0

setup.cfg

@@ -49,7 +49,7 @@ install_requires =
     blis>=0.4.0,<0.5.0
     plac>=0.9.6,<1.2.0
     requests>=2.13.0,<3.0.0
-    wasabi>=0.3.0,<1.1.0
+    wasabi>=0.4.0,<1.1.0
     srsly>=0.1.0,<1.1.0
     pathlib==1.0.1; python_version < "3.4"
     importlib_metadata>=0.20; python_version < "3.8"

spacy/__main__.py

@@ -7,12 +7,10 @@ from __future__ import print_function
 if __name__ == "__main__":
     import plac
     import sys
-    from wasabi import Printer
+    from wasabi import msg
     from spacy.cli import download, link, info, package, train, pretrain, convert
     from spacy.cli import init_model, profile, evaluate, validate, debug_data
 
-    msg = Printer()
-
     commands = {
         "download": download,
         "link": link,

spacy/cli/download.py

@@ -6,16 +6,13 @@ import requests
 import os
 import subprocess
 import sys
-from wasabi import Printer
+from wasabi import msg
 
 from .link import link
 from ..util import get_package_path
 from .. import about
 
 
-msg = Printer()
-
-
 @plac.annotations(
     model=("Model to download (shortcut or name)", "positional", None, str),
     direct=("Force direct download of name + version", "flag", "d", bool),

spacy/cli/evaluate.py

@@ -3,7 +3,7 @@ from __future__ import unicode_literals, division, print_function
 
 import plac
 from timeit import default_timer as timer
-from wasabi import Printer
+from wasabi import msg
 
 from ..gold import GoldCorpus
 from .. import util
@@ -32,7 +32,6 @@ def evaluate(
     Evaluate a model. To render a sample of parses in a HTML file, set an
     output directory as the displacy_path argument.
     """
-    msg = Printer()
     util.fix_random_seed()
     if gpu_id >= 0:
         util.use_gpu(gpu_id)

spacy/cli/info.py

@@ -4,7 +4,7 @@ from __future__ import unicode_literals
 import plac
 import platform
 from pathlib import Path
-from wasabi import Printer
+from wasabi import msg
 import srsly
 
 from ..compat import path2str, basestring_, unicode_
@@ -23,7 +23,6 @@ def info(model=None, markdown=False, silent=False):
     speficied as an argument, print model information. Flag --markdown
     prints details in Markdown for easy copy-pasting to GitHub issues.
     """
-    msg = Printer()
     if model:
         if util.is_package(model):
             model_path = util.get_package_path(model)

spacy/cli/init_model.py

@@ -11,7 +11,7 @@ import tarfile
 import gzip
 import zipfile
 import srsly
-from wasabi import Printer
+from wasabi import msg
 
 from ..vectors import Vectors
 from ..errors import Errors, Warnings, user_warning
@@ -24,7 +24,6 @@ except ImportError:
 
 
 DEFAULT_OOV_PROB = -20
-msg = Printer()
 
 
 @plac.annotations(

spacy/cli/link.py

@@ -3,7 +3,7 @@ from __future__ import unicode_literals
 
 import plac
 from pathlib import Path
-from wasabi import Printer
+from wasabi import msg
 
 from ..compat import symlink_to, path2str
 from .. import util
@@ -20,7 +20,6 @@ def link(origin, link_name, force=False, model_path=None):
     either the name of a pip package, or the local path to the model data
     directory. Linking models allows loading them via spacy.load(link_name).
     """
-    msg = Printer()
     if util.is_package(origin):
         model_path = util.get_package_path(origin)
     else:

spacy/cli/package.py

@@ -4,7 +4,7 @@ from __future__ import unicode_literals
 import plac
 import shutil
 from pathlib import Path
-from wasabi import Printer, get_raw_input
+from wasabi import msg, get_raw_input
 import srsly
 
 from ..compat import path2str
@@ -27,7 +27,6 @@ def package(input_dir, output_dir, meta_path=None, create_meta=False, force=Fals
     set and a meta.json already exists in the output directory, the existing
     values will be used as the defaults in the command-line prompt.
     """
-    msg = Printer()
     input_path = util.ensure_path(input_dir)
     output_path = util.ensure_path(output_dir)
     meta_path = util.ensure_path(meta_path)

spacy/cli/pretrain.py

@@ -11,7 +11,7 @@ from pathlib import Path
 from thinc.v2v import Affine, Maxout
 from thinc.misc import LayerNorm as LN
 from thinc.neural.util import prefer_gpu
-from wasabi import Printer
+from wasabi import msg
 import srsly
 
 from ..errors import Errors
@@ -122,7 +122,6 @@ def pretrain(
     for key in config:
         if isinstance(config[key], Path):
             config[key] = str(config[key])
-    msg = Printer()
     util.fix_random_seed(seed)
 
     has_gpu = prefer_gpu()

spacy/cli/profile.py

@@ -9,7 +9,7 @@ import pstats
 import sys
 import itertools
 import thinc.extra.datasets
-from wasabi import Printer
+from wasabi import msg
 
 from ..util import load_model
 
@@ -26,7 +26,6 @@ def profile(model, inputs=None, n_texts=10000):
     It can either be provided as a JSONL file, or be read from sys.sytdin.
     If no input file is specified, the IMDB dataset is loaded via Thinc.
     """
-    msg = Printer()
     if inputs is not None:
         inputs = _read_inputs(inputs, msg)
     if inputs is None:

spacy/cli/train.py

@@ -8,7 +8,7 @@ from thinc.neural._classes.model import Model
 from timeit import default_timer as timer
 import shutil
 import srsly
-from wasabi import Printer
+from wasabi import msg
 import contextlib
 import random
 
@@ -89,7 +89,6 @@ def train(
     # temp fix to avoid import issues cf https://github.com/explosion/spaCy/issues/4200
     import tqdm
 
-    msg = Printer()
     util.fix_random_seed()
     util.set_env_log(verbose)
 

spacy/cli/validate.py

@@ -5,7 +5,7 @@ from pathlib import Path
 import sys
 import requests
 import srsly
-from wasabi import Printer
+from wasabi import msg
 
 from ..compat import path2str
 from ..util import get_data_path
@@ -17,7 +17,6 @@ def validate():
     Validate that the currently installed version of spaCy is compatible
     with the installed models. Should be run after `pip install -U spacy`.
     """
-    msg = Printer()
     with msg.loading("Loading compatibility table..."):
         r = requests.get(about.__compatibility__)
         if r.status_code != 200: