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Correct grammar #2365

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merged 1 commit into from
Nov 20, 2024
Merged

Correct grammar #2365

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14 changes: 7 additions & 7 deletions pymilvus/client/entity_helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -170,7 +170,7 @@ def convert_to_str_array(orig_str_arr: Any, field_info: Dict, check: bool = True
for s in arr:
if not isinstance(s, str):
raise ParamError(
message=f"field ({field_info['name']}) expect string input, got: {type(s)}"
message=f"field ({field_info['name']}) expects string input, got: {type(s)}"
)
if len(s) > max_len:
raise ParamError(
Expand Down Expand Up @@ -198,7 +198,7 @@ def convert_to_json_arr(objs: List[object], field_info: Any):
arr = []
for obj in objs:
if obj is None:
raise ParamError(message=f"field ({field_info['name']}) expect not None input")
raise ParamError(message=f"field ({field_info['name']}) expects a non-None input")
arr.append(convert_to_json(obj))
return arr

Expand Down Expand Up @@ -308,7 +308,7 @@ def pack_field_value_to_field_data(
if isinstance(field_value, np.ndarray):
if field_value.dtype not in ("float32", "float64"):
raise ParamError(
message="invalid input for float32 vector, expect np.ndarray with dtype=float32"
message="invalid input for float32 vector. Expected an np.ndarray with dtype=float32"
)
f_value = field_value.tolist()

Expand All @@ -335,12 +335,12 @@ def pack_field_value_to_field_data(
elif isinstance(field_value, np.ndarray):
if field_value.dtype != "float16":
raise ParamError(
message="invalid input for float16 vector, expect np.ndarray with dtype=float16"
message="invalid input for float16 vector. Expected an np.ndarray with dtype=float16"
)
v_bytes = field_value.view(np.uint8).tobytes()
else:
raise ParamError(
message="invalid input type for float16 vector, expect np.ndarray with dtype=float16"
message="invalid input type for float16 vector. Expected an np.ndarray with dtype=float16"
)

field_data.vectors.dim = len(v_bytes) // 2
Expand All @@ -357,12 +357,12 @@ def pack_field_value_to_field_data(
elif isinstance(field_value, np.ndarray):
if field_value.dtype != "bfloat16":
raise ParamError(
message="invalid input for bfloat16 vector, expect np.ndarray with dtype=bfloat16"
message="invalid input for bfloat16 vector. Expected an np.ndarray with dtype=bfloat16"
)
v_bytes = field_value.view(np.uint8).tobytes()
else:
raise ParamError(
message="invalid input type for bfloat16 vector, expect np.ndarray with dtype=bfloat16"
message="invalid input type for bfloat16 vector. Expected an np.ndarray with dtype=bfloat16"
)

field_data.vectors.dim = len(v_bytes) // 2
Expand Down