import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
# Hand-made modules
from .base import BloscpackMixin

KWARGS_READ_CSV = {
    "sep": "\t",
    "header": 0,
    "parse_dates": [0],
    "index_col": 0
}


class ValidationSplitHandler(BloscpackMixin):
    def __init__(self):
        super().__init__()

    def separate_and_serialize_validation_index(self,
                                                train_filepath_prefix,
                                                location,
                                                n_splits):
        train_dataframe_filepath = '.'.join([train_filepath_prefix,
                                             location + ".tsv"])
        df = pd.read_csv(train_dataframe_filepath, **KWARGS_READ_CSV)
        train_index = df.index

        for n_iter, (_, test_index) in enumerate(KFold(n_splits=n_splits).split(train_index)):
            serialized_filepath = '.'.join([train_filepath_prefix,
                                            "index.crossval{i}".format(i=n_iter),
                                            location + ".blp"])
            self.to_blp(
                np.asarray(train_index[test_index]), serialized_filepath
            )


if __name__ == '__main__':
    print("Validation index splitter !")

import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
# Hand-made modules
from .base import PathHandlerBase, BloscpackMixin

KWARGS_READ_CSV = {
    "sep": "\t",
    "header": 0,
    "parse_dates": [0],
    "index_col": 0
}
KWARGS_TO_CSV = {
    "sep": "\t"
}
OBJECTIVE_LABEL_NAMES = ["kwh", ]
Y_TRUE_FILEPATH_PREFIX = "train_y"
Y_TRUE_FILEPATH_SUFFIX = "tsv"


class ValidationSplitHandler(BloscpackMixin):
    def __init__(self):
        super().__init__()

    def separate_and_serialize_validation_index(self,
                                                train_filepath_prefix,
                                                location,
                                                n_splits):
        df = pd.read_csv('.'.join([train_filepath_prefix,
                                   "{l}.tsv".format(l=location)]),
                         **KWARGS_READ_CSV)
        train_index = df.index

        for n_iter, (_, test_index) in enumerate(KFold(n_splits=n_splits).split(train_index)):
            serialized_filepath = '.'.join([train_filepath_prefix,
                                            "index.crossval{i}".format(i=n_iter),
                                            location + ".blp"])
            self.to_blp(
                np.asarray(train_index[test_index]), serialized_filepath
            )


if __name__ == '__main__':
    print("Validation index splitter !")

Adjust to current serialization conditions
Adjust to current serialization conditions

+ blp -> tsv

  import numpy as np
  import pandas as pd
  from sklearn.model_selection import KFold
  # Hand-made modules
- from .base import BloscpackMixin
+ from .base import PathHandlerBase, BloscpackMixin
  
  KWARGS_READ_CSV = {
      "sep": "\t",
      "header": 0,
      "parse_dates": [0],
      "index_col": 0
  }
+ KWARGS_TO_CSV = {
+     "sep": "\t"
+ }
+ OBJECTIVE_LABEL_NAMES = ["kwh", ]
+ Y_TRUE_FILEPATH_PREFIX = "train_y"
+ Y_TRUE_FILEPATH_SUFFIX = "tsv"
  
  
  class ValidationSplitHandler(BloscpackMixin):
      def __init__(self):
          super().__init__()
  
      def separate_and_serialize_validation_index(self,
                                                  train_filepath_prefix,
                                                  location,
                                                  n_splits):
-         train_dataframe_filepath = '.'.join([train_filepath_prefix,
-                                              location + ".tsv"])
-         df = pd.read_csv(train_dataframe_filepath, **KWARGS_READ_CSV)
+         df = pd.read_csv('.'.join([train_filepath_prefix,
+                                    "{l}.tsv".format(l=location)]),
+                          **KWARGS_READ_CSV)
          train_index = df.index
  
          for n_iter, (_, test_index) in enumerate(KFold(n_splits=n_splits).split(train_index)):
              serialized_filepath = '.'.join([train_filepath_prefix,
                                              "index.crossval{i}".format(i=n_iter),
                                              location + ".blp"])
              self.to_blp(
                  np.asarray(train_index[test_index]), serialized_filepath
              )
  
  
  if __name__ == '__main__':
      print("Validation index splitter !")
  
Adjust to current serialization conditions
## Code Before:
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
# Hand-made modules
from .base import BloscpackMixin

KWARGS_READ_CSV = {
    "sep": "\t",
    "header": 0,
    "parse_dates": [0],
    "index_col": 0
}


class ValidationSplitHandler(BloscpackMixin):
    def __init__(self):
        super().__init__()

    def separate_and_serialize_validation_index(self,
                                                train_filepath_prefix,
                                                location,
                                                n_splits):
        train_dataframe_filepath = '.'.join([train_filepath_prefix,
                                             location + ".tsv"])
        df = pd.read_csv(train_dataframe_filepath, **KWARGS_READ_CSV)
        train_index = df.index

        for n_iter, (_, test_index) in enumerate(KFold(n_splits=n_splits).split(train_index)):
            serialized_filepath = '.'.join([train_filepath_prefix,
                                            "index.crossval{i}".format(i=n_iter),
                                            location + ".blp"])
            self.to_blp(
                np.asarray(train_index[test_index]), serialized_filepath
            )


if __name__ == '__main__':
    print("Validation index splitter !")

## Instruction:
Adjust to current serialization conditions
## Code After:
import numpy as np
import pandas as pd
from sklearn.model_selection import KFold
# Hand-made modules
from .base import PathHandlerBase, BloscpackMixin

KWARGS_READ_CSV = {
    "sep": "\t",
    "header": 0,
    "parse_dates": [0],
    "index_col": 0
}
KWARGS_TO_CSV = {
    "sep": "\t"
}
OBJECTIVE_LABEL_NAMES = ["kwh", ]
Y_TRUE_FILEPATH_PREFIX = "train_y"
Y_TRUE_FILEPATH_SUFFIX = "tsv"


class ValidationSplitHandler(BloscpackMixin):
    def __init__(self):
        super().__init__()

    def separate_and_serialize_validation_index(self,
                                                train_filepath_prefix,
                                                location,
                                                n_splits):
        df = pd.read_csv('.'.join([train_filepath_prefix,
                                   "{l}.tsv".format(l=location)]),
                         **KWARGS_READ_CSV)
        train_index = df.index

        for n_iter, (_, test_index) in enumerate(KFold(n_splits=n_splits).split(train_index)):
            serialized_filepath = '.'.join([train_filepath_prefix,
                                            "index.crossval{i}".format(i=n_iter),
                                            location + ".blp"])
            self.to_blp(
                np.asarray(train_index[test_index]), serialized_filepath
            )


if __name__ == '__main__':
    print("Validation index splitter !")
