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chore: apply ruff E501 line-too-long linter rule (#8275)

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Co-authored-by: -LAN- <laipz8200@outlook.com>
This commit is contained in:
Bowen Liang
2024-09-12 14:00:36 +08:00
committed by GitHub
parent 56c90e212a
commit c69f5b07ba
85 changed files with 459 additions and 324 deletions
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16
api/core/model_runtime/entities/defaults.py
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@@ -8,8 +8,11 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = {
},
"type": "float",
"help": {
"en_US": "Controls randomness. Lower temperature results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive. Higher temperature results in more random completions.",
"zh_Hans": "温度控制随机性。较低的温度会导致较少的随机完成。随着温度接近零，模型将变得确定性和重复性。较高的温度会导致更多的随机完成。",
"en_US": "Controls randomness. Lower temperature results in less random completions."
" As the temperature approaches zero, the model will become deterministic and repetitive."
" Higher temperature results in more random completions.",
"zh_Hans": "温度控制随机性。较低的温度会导致较少的随机完成。随着温度接近零，模型将变得确定性和重复性。"
"较高的温度会导致更多的随机完成。",
},
"required": False,
"default": 0.0,
@@ -24,7 +27,8 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = {
},
"type": "float",
"help": {
"en_US": "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered.",
"en_US": "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options"
" are considered.",
"zh_Hans": "通过核心采样控制多样性：0.5表示考虑了一半的所有可能性加权选项。",
},
"required": False,
@@ -88,7 +92,8 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = {
},
"type": "int",
"help": {
"en_US": "Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.",
"en_US": "Specifies the upper limit on the length of generated results."
" If the generated results are truncated, you can increase this parameter.",
"zh_Hans": "指定生成结果长度的上限。如果生成结果截断，可以调大该参数。",
},
"required": False,
@@ -104,7 +109,8 @@ PARAMETER_RULE_TEMPLATE: dict[DefaultParameterName, dict] = {
},
"type": "string",
"help": {
"en_US": "Set a response format, ensure the output from llm is a valid code block as possible, such as JSON, XML, etc.",
"en_US": "Set a response format, ensure the output from llm is a valid code block as possible,"
" such as JSON, XML, etc.",
"zh_Hans": "设置一个返回格式，确保llm的输出尽可能是有效的代码块，如JSON、XML等",
},
"required": False,