# Path: telluride_decoding/csv_util.py
# def write_results(file_name, regularization_list, all_results):
# def _read_results(file_name, skip_header=False):
# def read_all_results_from_directory(dir_name, skip_header=False, pattern=''):
# def plot_csv_results(test_name,
#                      results,
#                      golden_mean_std_dict=None,
#                      png_file_name=None,
#                      show_plot=False):
# 
# Path: telluride_decoding/plot_util.py
# def matplotlib_pyplot():
# def plot_mean_std(test_name,
#                   regularization_list,
#                   run_mean,
#                   run_std,
#                   golden_mean_std_dict=None,
#                   png_file_name=None,
#                   show_plot=False):


import collections
import os
import mock
import numpy as np
from absl import flags
from absl.testing import absltest
from telluride_decoding import csv_util
from telluride_decoding import plot_util
    self.assertDictEqual(
        results, {
            1e-6: [1.1, 1.2, 2.3, 2.4, 4.2, 5.3],
            0.001: [3.5, 3.6, 4.7, 4.8, 6.7, 8.2],
            1.0: [5.9, 5.1, 6.2, 6.3, 9.9, 7.1],
        })

  def test_read_results_from_directory_mismatch(self):
    dir_name = os.path.join(self._test_data_dir, 'mismatch_csv_results')

    with self.assertRaises(ValueError):
      csv_util.read_all_results_from_directory(dir_name)

  @mock.patch.object(plot_util, 'plot_mean_std')
  def test_save_results_plot(self, mock_plot_mean_std):
    dir_name = os.path.join(self._test_data_dir, 'csv_results')

    results = csv_util.read_all_results_from_directory(dir_name)
    csv_util.plot_csv_results(
        'test', results, png_file_name='/tmp/test.png', show_plot=True)

    args, kwargs = mock_plot_mean_std.call_args_list[0]
    self.assertEqual(args[0], 'test')
    self.assertEqual(args[1], [1e-6, 0.001, 1.0])
    self.assertEqual(args[2], [2.75, 5.25, 6.75])
    self.assertEqual(args[3],
                     [1.5305227865013968, 1.68794747153656, 1.5272524349301266])
    self.assertEqual(kwargs['png_file_name'], '/tmp/test.png')
    self.assertTrue(kwargs['show_plot'])


# Path: telluride_decoding/csv_util.py
# def write_results(file_name, regularization_list, all_results):
# def _read_results(file_name, skip_header=False):
# def read_all_results_from_directory(dir_name, skip_header=False, pattern=''):
# def plot_csv_results(test_name,
#                      results,
#                      golden_mean_std_dict=None,
#                      png_file_name=None,
#                      show_plot=False):
# 
# Path: telluride_decoding/plot_util.py
# def matplotlib_pyplot():
# def plot_mean_std(test_name,
#                   regularization_list,
#                   run_mean,
#                   run_std,
#                   golden_mean_std_dict=None,
#                   png_file_name=None,
#                   show_plot=False):


# Path: test/csv_util_test.py
import collections
import os
import mock
import numpy as np
from absl import flags
from absl.testing import absltest
from telluride_decoding import csv_util
from telluride_decoding import plot_util

    self.assertDictEqual(
        results, {
            1e-6: [1.1, 1.2, 2.3, 2.4, 4.2, 5.3],
            0.001: [3.5, 3.6, 4.7, 4.8, 6.7, 8.2],
            1.0: [5.9, 5.1, 6.2, 6.3, 9.9, 7.1],
        })

  def test_read_results_from_directory_mismatch(self):
    dir_name = os.path.join(self._test_data_dir, 'mismatch_csv_results')

    with self.assertRaises(ValueError):
      csv_util.read_all_results_from_directory(dir_name)

  @mock.patch.object(plot_util, 'plot_mean_std')
  def test_save_results_plot(self, mock_plot_mean_std):
    dir_name = os.path.join(self._test_data_dir, 'csv_results')

    results = csv_util.read_all_results_from_directory(dir_name)
    csv_util.plot_csv_results(
        'test', results, png_file_name='/tmp/test.png', show_plot=True)

    args, kwargs = mock_plot_mean_std.call_args_list[0]
    self.assertEqual(args[0], 'test')
    self.assertEqual(args[1], [1e-6, 0.001, 1.0])
    self.assertEqual(args[2], [2.75, 5.25, 6.75])
    self.assertEqual(args[3],
                     [1.5305227865013968, 1.68794747153656, 1.5272524349301266])
    self.assertEqual(kwargs['png_file_name'], '/tmp/test.png')
    self.assertTrue(kwargs['show_plot'])


  @mock.patch.object(plot_util, 'plot_mean_std')