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yml afe load
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@@ -147,7 +147,7 @@ def init_from_yaml_conf(conf_path, **kwargs):
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"""
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with open(conf_path) as f:
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config = yaml.load(f, Loader=yaml.SafeLoader)
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config = yaml.safe_load(f)
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config.update(kwargs)
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default_conf = config.pop("default_conf", "client")
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init(default_conf, **config)
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@@ -110,7 +110,7 @@ class UserManager:
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raise ValueError("User data for {} already exists".format(user_id))
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with config_file.open("r") as fp:
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config = yaml.load(fp)
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config = yaml.safe_load(fp)
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# load model
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model = init_instance_by_config(config["model"])
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@@ -88,7 +88,7 @@ def prepare(um, today, user_id, exchange_config=None):
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dates.append(get_next_trading_date(dates[-1], future=True))
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if exchange_config:
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with pathlib.Path(exchange_config).open("r") as fp:
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exchange_paras = yaml.load(fp)
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exchange_paras = yaml.safe_load(fp)
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else:
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exchange_paras = {}
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trade_exchange = Exchange(trade_dates=dates, **exchange_paras)
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@@ -14,7 +14,7 @@ class TunerConfigManager:
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self.config_path = config_path
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with open(config_path) as fp:
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config = yaml.load(fp)
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config = yaml.safe_load(fp)
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self.config = copy.deepcopy(config)
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self.pipeline_ex_config = PipelineExperimentConfig(config.get("experiment", dict()), self)
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@@ -128,10 +128,10 @@ def parse_config(config):
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# Check whether config is file
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if os.path.exists(config):
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with open(config, "r") as f:
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return yaml.load(f, Loader=yaml.SafeLoader)
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return yaml.safe_load(f)
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# Check whether the str can be parsed
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try:
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return yaml.load(config)
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return yaml.safe_load(config)
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except BaseException:
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raise ValueError("cannot parse config!")
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@@ -44,7 +44,7 @@ def sys_config(config, config_path):
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# worflow handler function
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def workflow(config_path, experiment_name="workflow", uri_folder="mlruns"):
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with open(config_path) as fp:
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config = yaml.load(fp, Loader=yaml.SafeLoader)
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config = yaml.safe_load(fp)
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# config the `sys` section
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sys_config(config, config_path)
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