@@ -370,7 +370,7 @@ def int_field(
370370 ),
371371 )
372372
373- pb.preview(pb.generate_dataset(schema, n=50, seed=42 ))
373+ pb.preview(pb.generate_dataset(schema, n=50, seed=23 ))
374374 ```
375375
376376 We can also enforce uniqueness with `unique=True` to produce distinct identifiers within
@@ -589,7 +589,7 @@ def float_field(
589589 weight_kg=pb.float_field(min_val=0.5, max_val=100.0),
590590 )
591591
592- pb.preview(pb.generate_dataset(schema, n=50, seed=42 ))
592+ pb.preview(pb.generate_dataset(schema, n=50, seed=23 ))
593593 ```
594594
595595 We can simulate missing measurements by introducing null values:
@@ -899,7 +899,7 @@ def string_field(
899899 sku=pb.string_field(pattern=r"[A-Z]{2}[0-9]{6}"),
900900 )
901901
902- pb.preview(pb.generate_dataset(schema, n=30, seed=42 ))
902+ pb.preview(pb.generate_dataset(schema, n=30, seed=23 ))
903903 ```
904904
905905 For random alphanumeric strings, `min_length=` and `max_length=` control the length.
@@ -1086,7 +1086,7 @@ def bool_field(
10861086 ),
10871087 )
10881088
1089- pb.preview(pb.generate_dataset(schema, n=50, seed=42 ))
1089+ pb.preview(pb.generate_dataset(schema, n=50, seed=23 ))
10901090 ```
10911091
10921092 Boolean fields can be combined with other field types in a realistic schema:
@@ -1289,7 +1289,7 @@ def date_field(
12891289 signup_date=pb.date_field(min_date="2023-06-01", max_date="2024-06-01"),
12901290 )
12911291
1292- pb.preview(pb.generate_dataset(schema, n=50, seed=42 ))
1292+ pb.preview(pb.generate_dataset(schema, n=50, seed=23 ))
12931293 ```
12941294
12951295 We can introduce missing dates with `nullable=True` and enforce distinct values using
@@ -1503,7 +1503,7 @@ def datetime_field(
15031503 ),
15041504 )
15051505
1506- pb.preview(pb.generate_dataset(schema, n=30, seed=42 ))
1506+ pb.preview(pb.generate_dataset(schema, n=30, seed=23 ))
15071507 ```
15081508
15091509 Optional timestamps can be simulated with `nullable=True`, and datetime fields work
@@ -1710,7 +1710,7 @@ def time_field(
17101710 alarm_time=pb.time_field(min_time="05:00:00", max_time="09:00:00"),
17111711 )
17121712
1713- pb.preview(pb.generate_dataset(schema, n=30, seed=42 ))
1713+ pb.preview(pb.generate_dataset(schema, n=30, seed=23 ))
17141714 ```
17151715
17161716 It's possible to introduce optional time values with `nullable=True` and combine them
@@ -1928,7 +1928,7 @@ def duration_field(
19281928 break_time=pb.duration_field(min_duration="0:05:00", max_duration="0:30:00"),
19291929 )
19301930
1931- pb.generate_dataset(schema, n=30, seed=42 )
1931+ pb.generate_dataset(schema, n=30, seed=23 )
19321932 ```
19331933
19341934 Optional durations can be created with `nullable=True`, and duration fields work well
0 commit comments