Restore spacy evaluate, make spacy benchmark speed an alias

spacy/cli/__init__.py

@@ -4,6 +4,7 @@ from ._util import app, setup_cli  # noqa: F401
 
 # These are the actual functions, NOT the wrapped CLI commands. The CLI commands
 # are registered automatically and won't have to be imported here.
+from .benchmark_speed import benchmark_speed_cli  # noqa: F401
 from .download import download  # noqa: F401
 from .info import info  # noqa: F401
 from .package import package  # noqa: F401
@@ -15,8 +16,7 @@ from .debug_data import debug_data  # noqa: F401
 from .debug_config import debug_config  # noqa: F401
 from .debug_model import debug_model  # noqa: F401
 from .debug_diff import debug_diff  # noqa: F401
-from .evaluate_accuracy import evaluate  # noqa: F401
-from .evaluate_speed import evaluate_cli  # noqa: F401
+from .evaluate import evaluate  # noqa: F401
 from .convert import convert  # noqa: F401
 from .init_pipeline import init_pipeline_cli  # noqa: F401
 from .init_config import init_config, fill_config  # noqa: F401

spacy/cli/_util.py

@@ -46,7 +46,7 @@ DEBUG_HELP = """Suite of helpful commands for debugging and profiling. Includes
 commands to check and validate your config files, training and evaluation data,
 and custom model implementations.
 """
-EVALUATE_HELP = """Commands for evaluating pipelines."""
+BENCHMARK_HELP = """Commands for benchmarking pipelines."""
 INIT_HELP = """Commands for initializing configs and pipeline packages."""
 
 # Wrappers for Typer's annotations. Initially created to set defaults and to
@@ -55,14 +55,14 @@ Arg = typer.Argument
 Opt = typer.Option
 
 app = typer.Typer(name=NAME, help=HELP)
+benchmark_cli = typer.Typer(name="benchmark", help=BENCHMARK_HELP, no_args_is_help=True)
 project_cli = typer.Typer(name="project", help=PROJECT_HELP, no_args_is_help=True)
 debug_cli = typer.Typer(name="debug", help=DEBUG_HELP, no_args_is_help=True)
-evaluate_cli = typer.Typer(name="evaluate", help=EVALUATE_HELP, no_args_is_help=True)
 init_cli = typer.Typer(name="init", help=INIT_HELP, no_args_is_help=True)
 
 app.add_typer(project_cli)
 app.add_typer(debug_cli)
-app.add_typer(evaluate_cli)
+app.add_typer(benchmark_cli)
 app.add_typer(init_cli)
 
 

spacy/cli/benchmark_speed.py

@@ -11,14 +11,14 @@ from .. import util
 from ..language import Language
 from ..tokens import Doc
 from ..training import Corpus
-from ._util import Arg, Opt, evaluate_cli, setup_gpu
+from ._util import Arg, Opt, benchmark_cli, setup_gpu
 
 
-@evaluate_cli.command(
+@benchmark_cli.command(
     "speed",
     context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
 )
-def benchmark_cli(
+def benchmark_speed_cli(
     ctx: typer.Context,
     model: str = Arg(..., help="Model name or path"),
     data_path: Path = Arg(

spacy/cli/evaluate.py

@@ -4,20 +4,20 @@ from pathlib import Path
 import re
 import srsly
 from thinc.api import fix_random_seed
-import typer
 
 from ..training import Corpus
 from ..tokens import Doc
-from ._util import Arg, Opt, evaluate_cli, setup_gpu, import_code
+from ._util import app, Arg, Opt, setup_gpu, import_code, benchmark_cli
 from ..scorer import Scorer
 from .. import util
 from .. import displacy
 
-
-@evaluate_cli.command("accuracy", context_settings={"allow_extra_args": True, "ignore_unknown_options": True},)
-def accuracy_cli(
+@benchmark_cli.command(
+    "accuracy",
+)
+@app.command("evaluate")
+def evaluate_cli(
     # fmt: off
-    ctx: typer.Context,
     model: str = Arg(..., help="Model name or path"),
     data_path: Path = Arg(..., help="Location of binary evaluation data in .spacy format", exists=True),
     output: Optional[Path] = Opt(None, "--output", "-o", help="Output JSON file for metrics", dir_okay=False),

spacy/tests/pipeline/test_textcat.py

@@ -8,7 +8,7 @@ from wasabi import msg
 
 import spacy
 from spacy import util
-from spacy.cli.evaluate_accuracy import print_prf_per_type, print_textcats_auc_per_cat
+from spacy.cli.evaluate import print_prf_per_type, print_textcats_auc_per_cat
 from spacy.lang.en import English
 from spacy.language import Language
 from spacy.pipeline import TextCategorizer