From bfa8e11ffa58de91393d1ba398c12f7a600b8d48 Mon Sep 17 00:00:00 2001
From: Ines Montani <ines@ines.io>
Date: Fri, 10 Jul 2020 20:52:00 +0200
Subject: [PATCH] Update and auto-format

---
 spacy/cli/debug_model.py | 27 +++++++++++++--------------
 spacy/schemas.py         |  2 +-
 2 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/spacy/cli/debug_model.py b/spacy/cli/debug_model.py
index 54c71f824..2e315cae5 100644
--- a/spacy/cli/debug_model.py
+++ b/spacy/cli/debug_model.py
@@ -1,10 +1,9 @@
-from typing import List
 from pathlib import Path
 from wasabi import msg
-
-from ._app import app, Arg, Opt
-from .. import util
 from thinc.api import require_gpu, fix_random_seed, set_dropout_rate, Adam
+
+from ._util import app, Arg, Opt
+from .. import util
 from ..lang.en import English
 
 
@@ -50,16 +49,11 @@ def debug_model_cli(
         msg.info(f"Using CPU")
 
     debug_model(
-        config_path,
-        print_settings=print_settings,
+        config_path, print_settings=print_settings,
     )
 
 
-def debug_model(
-    config_path: Path,
-    *,
-    print_settings=None
-):
+def debug_model(config_path: Path, *, print_settings=None):
     if print_settings is None:
         print_settings = {}
 
@@ -83,7 +77,7 @@ def debug_model(
     for e in range(3):
         Y, get_dX = model.begin_update(_get_docs())
         dY = get_gradient(model, Y)
-        _ = get_dX(dY)
+        get_dX(dY)
         model.finish_update(optimizer)
     if print_settings.get("print_after_training"):
         msg.info(f"After training:")
@@ -115,7 +109,12 @@ def _get_docs():
 
 
 def _get_output(xp):
-    return xp.asarray([xp.asarray([i+10, i+20, i+30], dtype="float32") for i, _ in enumerate(_get_docs())])
+    return xp.asarray(
+        [
+            xp.asarray([i + 10, i + 20, i + 30], dtype="float32")
+            for i, _ in enumerate(_get_docs())
+        ]
+    )
 
 
 def _print_model(model, print_settings):
@@ -161,7 +160,7 @@ def _print_matrix(value):
         return value
     result = str(value.shape) + " - sample: "
     sample_matrix = value
-    for d in range(value.ndim-1):
+    for d in range(value.ndim - 1):
         sample_matrix = sample_matrix[0]
     sample_matrix = sample_matrix[0:5]
     result = result + str(sample_matrix)
diff --git a/spacy/schemas.py b/spacy/schemas.py
index c4d67e90f..e0776c56e 100644
--- a/spacy/schemas.py
+++ b/spacy/schemas.py
@@ -201,7 +201,7 @@ class ConfigSchemaTraining(BaseModel):
     max_epochs: StrictInt = Field(..., title="Maximum number of epochs to train for")
     max_steps: StrictInt = Field(..., title="Maximum number of update steps to train for")
     eval_frequency: StrictInt = Field(..., title="How often to evaluate during training (steps)")
-    seed: StrictInt = Field(..., title="Random seed")
+    seed: Optional[StrictInt] = Field(..., title="Random seed")
     accumulate_gradient: StrictInt = Field(..., title="Whether to divide the batch up into substeps")
     use_pytorch_for_gpu_memory: StrictBool = Field(..., title="Allocate memory via PyTorch")
     use_gpu: StrictInt = Field(..., title="GPU ID or -1 for CPU")