Refactor to Python3 style

examples/benchmarks/TFT/expt_settings/configs.py

@@ -25,7 +25,7 @@
 import data_formatters.qlib_Alpha158
 
 
-class ExperimentConfig(object):
+class ExperimentConfig:
     """Defines experiment configs and paths to outputs.
 
     Attributes:

examples/benchmarks/TFT/libs/tft_model.py

@@ -320,7 +320,7 @@ def __call__(self, q, k, v, mask=None):
         return outputs, attn
 
 
-class TFTDataCache(object):
+class TFTDataCache:
     """Caches data for the TFT."""
 
     _data_cache = {}
@@ -348,7 +348,7 @@ def contains(cls, key):
 
 
 # TFT model definitions.
-class TemporalFusionTransformer(object):
+class TemporalFusionTransformer:
     """Defines Temporal Fusion Transformer.
 
     Attributes:
@@ -972,7 +972,7 @@ def build_model(self):
             valid_quantiles = self.quantiles
             output_size = self.output_size
 
-            class QuantileLossCalculator(object):
+            class QuantileLossCalculator:
                 """Computes the combined quantile loss for prespecified quantiles.
 
                 Attributes:

qlib/contrib/backtest/__init__.py

@@ -1,7 +1,6 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
-# -*- coding: utf-8 -*-
 from .order import Order
 from .account import Account
 from .position import Position

qlib/contrib/model/pytorch_nn.py

@@ -296,7 +296,7 @@ def load(self, buffer, **kwargs):
         self._fitted = True
 
 
-class AverageMeter(object):
+class AverageMeter:
     """Computes and stores the average and current value"""
 
     def __init__(self):

qlib/contrib/model/pytorch_sfm.py

@@ -464,7 +464,7 @@ def predict(self, dataset):
         return pd.Series(np.concatenate(preds), index=index)
 
 
-class AverageMeter(object):
+class AverageMeter:
     """Computes and stores the average and current value"""
 
     def __init__(self):

qlib/contrib/online/operator.py

@@ -21,7 +21,7 @@
 from .executor import save_score_series, load_score_series
 
 
-class Operator(object):
+class Operator:
     def __init__(self, client: str):
         """
         Parameters

qlib/contrib/report/graph.py

@@ -17,7 +17,7 @@
 from ...utils import get_module_by_module_path
 
 
-class BaseGraph(object):
+class BaseGraph:
     """"""
 
     _name = None
@@ -204,7 +204,7 @@ def _get_data(self):
         return _data
 
 
-class SubplotsGraph(object):
+class SubplotsGraph:
     """Create subplots same as df.plot(subplots=True)
 
     Simple package for `plotly.tools.subplots`

qlib/contrib/tuner/config.py

@@ -6,7 +6,7 @@
 import os
 
 
-class TunerConfigManager(object):
+class TunerConfigManager:
     def __init__(self, config_path):
 
         if not config_path:
@@ -27,7 +27,7 @@ def __init__(self, config_path):
         self.qlib_client_config = config.get("qlib_client", dict())
 
 
-class PipelineExperimentConfig(object):
+class PipelineExperimentConfig:
     def __init__(self, config, TUNER_CONFIG_MANAGER):
         """
         :param config:  The config dict for tuner experiment
@@ -53,7 +53,7 @@ def __init__(self, config, TUNER_CONFIG_MANAGER):
             yaml.dump(TUNER_CONFIG_MANAGER.config, fp)
 
 
-class OptimizationConfig(object):
+class OptimizationConfig:
     def __init__(self, config, TUNER_CONFIG_MANAGER):
 
         self.report_type = config.get("report_type", "pred_long")

qlib/contrib/tuner/pipeline.py

@@ -11,7 +11,7 @@
 from ...utils import get_module_by_module_path
 
 
-class Pipeline(object):
+class Pipeline:
 
     GLOBAL_BEST_PARAMS_NAME = "global_best_params.json"
 

qlib/contrib/tuner/tuner.py

@@ -19,7 +19,7 @@
 from hyperopt import STATUS_OK, STATUS_FAIL
 
 
-class Tuner(object):
+class Tuner:
     def __init__(self, tuner_config, optim_config):
 
         self.logger = get_module_logger("Tuner", sh_level=logging.INFO)

qlib/data/_libs/expanding.pyx

@@ -8,7 +8,7 @@ from libc.math cimport sqrt, isnan, NAN
 from libcpp.vector cimport vector
 
 
-cdef class Expanding(object):
+cdef class Expanding:
     """1-D array expanding"""
     cdef vector[double] barv
     cdef int na_count

qlib/data/_libs/rolling.pyx

@@ -8,7 +8,7 @@ from libc.math cimport sqrt, isnan, NAN
 from libcpp.deque cimport deque
 
 
-cdef class Rolling(object):
+cdef class Rolling:
     """1-D array rolling"""
     cdef int window
     cdef deque[double] barv

qlib/data/cache.py

@@ -68,7 +68,7 @@ def _check_size_limit(self):
                 self.popitem(last=False)
 
 
-class MemCache(object):
+class MemCache:
     """Memory cache."""
 
     def __init__(self, mem_cache_size_limit=None, limit_type="length"):
@@ -140,7 +140,7 @@ def get_cache(mem_cache, key):
         return value, expire
 
 
-class CacheUtils(object):
+class CacheUtils:
     LOCK_ID = "QLIB"
 
     @staticmethod
@@ -224,7 +224,7 @@ def writer_lock(redis_t, lock_name):
             current_cache_wlock.release()
 
 
-class BaseProviderCache(object):
+class BaseProviderCache:
     """Provider cache base class"""
 
     def __init__(self, provider):

qlib/data/client.py

@@ -12,7 +12,7 @@
 import pickle
 
 
-class Client(object):
+class Client:
     """A client class
 
     Provide the connection tool functions for ClientProvider.

qlib/log.py

@@ -36,7 +36,7 @@ def get_module_logger(module_name, level=None):
     return module_logger
 
 
-class TimeInspector(object):
+class TimeInspector:
 
     timer_logger = get_module_logger("timer", level=logging.WARNING)
 

qlib/portfolio/optimizer.py

@@ -9,7 +9,7 @@
 from typing import Optional, Union, Callable, List
 
 
-class PortfolioOptimizer(object):
+class PortfolioOptimizer:
     """Portfolio Optimizer
 
     The following optimization algorithms are supported:

qlib/utils/__init__.py

@@ -686,7 +686,7 @@ def flatten_dict(d, parent_key="", sep="."):
 
 
 #################### Wrapper #####################
-class Wrapper(object):
+class Wrapper:
     """Wrapper class for anything that needs to set up during qlib.init"""
 
     def __init__(self):