From 95bf8a78ac8d7f969052d499fe245dcf047c2526 Mon Sep 17 00:00:00 2001 From: SevenOfNinePE Date: Wed, 11 Feb 2026 12:15:05 +0100 Subject: [PATCH 1/5] Introduce h-offset to material database --- examples/combine_material_data.py | 53 ++++ examples/compare_operation_points.py | 5 +- materialdatabase/meta/data_enums.py | 2 + materialdatabase/meta/mapping.py | 1 + materialdatabase/processing/data_structure.py | 297 +++++++++++++++++- .../processing/utils/empirical.py | 33 ++ 6 files changed, 380 insertions(+), 11 deletions(-) create mode 100644 examples/combine_material_data.py diff --git a/examples/combine_material_data.py b/examples/combine_material_data.py new file mode 100644 index 0000000..0ce23be --- /dev/null +++ b/examples/combine_material_data.py @@ -0,0 +1,53 @@ +"""Example to combine material data. + +This script enables users to combine material data, if this is still no done. +""" + +import logging +from typing import cast + +import numpy as np +import pandas as pd + +import materialdatabase as mdb +from materialdatabase import get_user_colors as colors +from materialdatabase.processing.plot import plot_combined_loss, plot_mu_all, StyleDict +from materialdatabase.meta.data_classes import ComplexPermeabilityPlotConfig, ComplexPermeabilityConfig + + + +# --------------------------------------------- +# Configuration +# --------------------------------------------- + +logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.INFO) + +# Flags to control which plots to generate +PLOT_MU_ABS = True +PLOT_PV = True + +# Operating points of interest +FREQS = np.linspace(2e5, 4e5, 8) # Frequency range in Hertz +FLUX_DENSITIES = np.linspace(0.14, 0.07, 8) # Flux densities in Tesla +TEMPS = np.ones_like(FREQS) * 100 # Temperatures in Celsius + +# Materials to evaluate +mat_cfg=ComplexPermeabilityConfig( + material=mdb.Material.N27, + # setup=mdb.DataSource.TDK_MDT, + setup=mdb.DataSource.MagNet, + pv_fit_function=mdb.FitFunction.enhancedSteinmetz + ) + +# --------------------------------------------- +# Load Material Data +# --------------------------------------------- + +mdb_data = mdb.Data() + +mdb_data.combine_material_permeability_data(material=mat_cfg.material, data_source=mat_cfg.setup) + + +# combine_material_permeability_data(act_root_dir: str, material: Material, data_source: DataSource) -> bool: + + diff --git a/examples/compare_operation_points.py b/examples/compare_operation_points.py index b89dad4..c664d45 100644 --- a/examples/compare_operation_points.py +++ b/examples/compare_operation_points.py @@ -26,8 +26,8 @@ PLOT_PV = True # Operating points of interest -FREQS = np.linspace(2e5, 4e5, 5) # Frequency range in Hertz -FLUX_DENSITIES = np.linspace(0.14, 0.07, 5) # Flux densities in Tesla +FREQS = np.linspace(2e5, 4e5, 16) # Frequency range in Hertz +FLUX_DENSITIES = np.linspace(0.14, 0.07, 16) # Flux densities in Tesla TEMPS = np.ones_like(FREQS) * 100 # Temperatures in Celsius # Materials to evaluate @@ -84,6 +84,7 @@ mdb_data = mdb.Data() + # Create sweep grid df_common = pd.DataFrame( columns=["f", "T", "b"] diff --git a/materialdatabase/meta/data_enums.py b/materialdatabase/meta/data_enums.py index 940f2c1..6e6c8ef 100644 --- a/materialdatabase/meta/data_enums.py +++ b/materialdatabase/meta/data_enums.py @@ -18,6 +18,7 @@ class FitFunction(str, Enum): enhancedSteinmetz = "enhanced_steinmetz" mu_abs_TDK_MDT = "mu_abs_TDK_MDT" mu_abs_LEA_MTB = "mu_abs_LEA_MTB" + mu_abs_MagNet = "mu_abs_MagNet" eps_abs = "fit_eps_qT" def get_log_function(self) -> Any: @@ -42,6 +43,7 @@ def get_function(self) -> Any: FitFunction.enhancedSteinmetz: enhanced_steinmetz_qT, FitFunction.mu_abs_TDK_MDT: fit_mu_abs_TDK_MDT, FitFunction.mu_abs_LEA_MTB: fit_mu_abs_LEA_MTB, + FitFunction.mu_abs_MagNet: fit_mu_abs_LEA_MTB, FitFunction.eps_abs: fit_eps_qT }[self] diff --git a/materialdatabase/meta/mapping.py b/materialdatabase/meta/mapping.py index db7207e..3f8038b 100644 --- a/materialdatabase/meta/mapping.py +++ b/materialdatabase/meta/mapping.py @@ -6,6 +6,7 @@ DataSource.TDK_MDT: FitFunction.mu_abs_TDK_MDT, DataSource.Datasheet: FitFunction.mu_abs_TDK_MDT, DataSource.LEA_MTB: FitFunction.mu_abs_LEA_MTB, + DataSource.MagNet: FitFunction.mu_abs_MagNet } def get_fit_function_from_setup(setup: DataSource) -> Any: diff --git a/materialdatabase/processing/data_structure.py b/materialdatabase/processing/data_structure.py index cc3cd26..a5367df 100644 --- a/materialdatabase/processing/data_structure.py +++ b/materialdatabase/processing/data_structure.py @@ -1,5 +1,6 @@ """Class to represent the data structure and load material data.""" import logging +import os.path # python libraries from pathlib import Path, PurePath from typing import Any @@ -9,6 +10,7 @@ import pandas as pd from matplotlib import pyplot as plt import numpy as np +from numpy.lib.recfunctions import assign_fields_by_name # own libraries from materialdatabase.meta.data_enums import ComplexDataType, Material, DataSource, FitFunction, \ @@ -194,38 +196,132 @@ def plot_available_data(self, exclude_dc_bias: bool = True) -> None: :param exclude_dc_bias: exclude DC-bias data to prevent an overcrowded plot """ + # logger.info(self.build_overview_table()) + # self.plot_boolean_dataframe(self.build_overview_table()) available_data = self.build_overview_table() - if exclude_dc_bias: + if False: #exclude_dc_bias: available_data = available_data[~available_data.index.str.contains("_")] logger.info(available_data) self.plot_boolean_dataframe(available_data) - def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType) -> pd.DataFrame: + @staticmethod + def get_datasets(act_data_set: pd.DataFrame, h_offset: float) -> pd.DataFrame: + + # Search for h-offset area + h_offset_list = sorted(act_data_set['h_offset'].unique()) + h_offset_high: float = 0 + h_offset_low: float = 0 + + # Find the 2 offsets below and above requested offset + for h_offset_value in h_offset_list: + h_offset_high = h_offset_value + if h_offset_value <= h_offset: + h_offset_low = h_offset_value + else: + break + + # Check if h_offset is higher than maximal offset value + if h_offset_high < h_offset: + raise ValueError(f"H-Offset value {h_offset} is higher than maximum measured H-Offset value of {h_offset_high}") + + # Assemble result datasets + result_low = act_data_set[act_data_set['h_offset'] == h_offset_low] + result_high = act_data_set[act_data_set['h_offset'] == h_offset_high] + result_datasets = pd.concat([result_low, result_high], axis = 0) + result_datasets.reset_index() + + return result_datasets + + def get_available_h_offset(self, material: Material, data_source: DataSource, h_offset: float = 0) -> list[float]: + """ + Get the list of available h-offsets of the certain material. + + :param material: Material from material database, e.g. mdb.Material.N95 + :type material: Material + :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type data_source: DataSource + :return: List of material data + :rtype: float + """ + + # Check if requested data is without h-offset + path2file = Path(f"{self.root_dir}/complex_permeability/{data_source.value}/{material.value}.csv") + + if path2file not in self.all_paths: + raise ValueError(f"The specified data file with path {path2file} does not exist.") + else: + logger.info(f"h-offset read from {path2file}.") + data_set = pd.read_csv(path2file, sep=",") + + if not "h_offset" in data_set.columns: + # Create combined dataset + self.combine_material_permeability_data(material, data_source) + # Read updated CSV-File again + data_set = pd.read_csv(path2file, sep=",") + # Get column with H-offset data + h_offset_series = data_set['h_offset'] + h_array = h_offset_series.unique() + # Assemble the result list + h_offset_list = h_array.tolist() + + return h_offset_list + + + def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType, h_offset: float = 0) -> pd.DataFrame: """ Get a complex data set of a certain material, data type and measurement. + If the h_offset = 0 (Default parameter) and the data set has no h-offset-value (older format), + the h-offset will be added to the data. A copy of the old data will be provided. - :param material: e.g. mdb.Material.N95 - :param data_source: e.g. mdb.MeasurementSetup.TDK_MDT - :param data_type: e.g. mdb.ComplexDataType.complex_permeability - :return: + :param material: Material from material database, e.g. mdb.Material.N95 + :type material: Material + :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type data_source: DataSource + :param data_type: Type of requested data e.g. mdb.ComplexDataType.complex_permeability + :type data_type: ComplexDataType + :param h_offset: H-Offset of the requested data + :type h_offset: float + :return: Requested data within a data frame + :rtype: pd.DataFrame """ + if data_type not in {item.value for item in ComplexDataType}: raise ValueError(f"{data_type} is no valid complex data type.\n" f"Valid complex data types are: {[item.value for item in ComplexDataType]}") else: + # Check if requested data is without h-offset path2file = Path(f"{self.root_dir}/{data_type.value}/{data_source.value}/{material.value}.csv") + if path2file not in self.all_paths: raise ValueError(f"The specified data file with path {path2file} does not exist.") else: logger.info(f"Complex data read from {path2file}.") - return pd.read_csv(path2file, sep=",") + data_set = pd.read_csv(path2file, sep=",") + + if data_type == ComplexDataType.complex_permeability: + if not "h_offset" in data_set.columns: + # Create combined dataset + self.combine_material_permeability_data(material, data_source) + # Read updated CSV-File again + data_set = pd.read_csv(path2file, sep=",") + # Filter requested H-offset data + result_data_set = data_set[data_set['h_offset'] == h_offset] + # Check if H-offset dataset is not found + if result_data_set.empty: + raise ValueError(f"A dataset with h_offset={h_offset} is not available.\n" + f"Please use the 'get_available_h_offset' method to retrieve the list of available h-offsets.") + else: + result_data_set = data_set + + return result_data_set def get_complex_permeability(self, material: Material, data_source: DataSource, - pv_fit_function: FitFunction) -> ComplexPermeability: + pv_fit_function: FitFunction, + h_offset: float = 0) -> ComplexPermeability: """ Get a complex permeability data set of a certain material and measurement type. @@ -237,10 +333,193 @@ def get_complex_permeability(self, dataset = self.get_complex_data_set( material=material, data_source=data_source, - data_type=ComplexDataType.complex_permeability + data_type=ComplexDataType.complex_permeability, + h_offset=h_offset ) return ComplexPermeability(dataset, material, data_source, pv_fit_function) + def combine_material_permeability_data(self, material: Material, data_source: DataSource) -> bool: + """ + Combines all files with different h-offset of one material. + + :param act_root_dir: root directory of material database + :type act_root_dir: str + :param material: Material from material database, e.g. mdb.Material.N95 + :type material: Material + :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type data_source: DataSource + :return: List of material data + :rtype: float + """ + + # Number of files in this folder + number_of_files = 0 + # Return value + is_done_successfull=False + + result_list: list[tuple[float, str]] + df_list: list[pd.DataFrame] = [] + + # Assemble path + data_path = Path(f"{self.root_dir}/complex_permeability/{data_source.value}") + # Check if data path exists + if data_path.is_dir(): + # Check for base file + data_base_file = Path(f"{data_path}/{material.value}.csv") + # Search for suitable backup name + data_base_backup_file = Data._get_next_backup_filename(str(data_path), data_base_file.stem + "_backup") + if data_base_file.is_file(): + # Load base file data + df_base = pd.read_csv(data_base_file, sep=",") + df_backup = df_base.copy(deep=True) + # Search for all h-offset data + result_list = Data._get_h_dc_offset_data_list(data_path, material) + # Read and merge dataframes + for item in result_list: + path2file = Path(item[1]) + df = pd.read_csv(path2file, sep=",") + df['h_offset'] = item[0] + df_list.append(df) + + # Check if h-offset data frames are found + if len(df_list): + # Check if h_offset is still part of the file + if not "h_offset" in df_base.columns: + df_base['h_offset'] = 0 + df_list.append(df_base) + # Combine all data frames + df_combined = pd.concat(df_list, ignore_index=True) + # Remove duplicates + df_combined = df_combined.drop_duplicates() + # Sort ascending and reset index + df_combined = df_combined.sort_values(by=['h_offset', 'T', 'f', 'b'], ascending=[True, True, True, True]) + + # Backup origin file and store new one + if not df_combined.equals(df_base): + df_backup.to_csv(data_base_backup_file, index=False) + df_combined.to_csv(data_base_file, index=False) + is_done_successfull = True + else: + # Notify, that current base file contains all data + logger.info(f"File {data_base_file.name} still contains all h-offset data.") + else: + # Notify, that no h-offset file is found + logger.info(f"No offset file correspondent to file {data_base_file.name} is found.") + # Check if h_offset is still part of the file + if not "h_offset" in df_base.columns: + # Notify, that actual file has no H-offset column, which is now added + logger.info(f"H-offset column is added to file {data_base_file.name}.") + df_base['h_offset'] = 0 + df_backup.to_csv(data_base_backup_file, index=False) + df_base.to_csv(data_base_file, index=False) + + else: + # Log as warning, that no database file exists + logger.warning(f"{data_base_file.name} does not exist.") + else: + # Log as warning about wrong path + logger.warning(f"Path {data_path.name} does not exist.") + + return is_done_successfull + + @staticmethod + def _get_next_backup_filename(pathname: str, base_name: str, extension: str = '.csv') -> Path: + """ + Provides a 'free' file name with a suitable number. + + :param pathname: root directory of material database + :type pathname: str + :param base_name: Material from material database, e.g. mdb.Material.N95 + :type base_name: Material + :param extension: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type extension: DataSource + :return: Path-object with file name, which still not exists in path + :rtype: Path + """ + base_path = pathname+ "/" + base_name + + orig_file_path = Path(base_path + extension) + # Check, if name does not exists + if not orig_file_path.exists(): + return orig_file_path + + # Search for the next free name (number) + i = 1 + while True: + new_name = f"{base_path}{i}{extension}" + new_file_path = Path(new_name) + if not new_file_path.exists(): + return new_file_path + i += 1 + + @staticmethod + def _get_h_dc_offset_data_list(data_path: Path, material: Material) -> list[tuple[float, str]]: + """ + Get a list of all files with h-dc-offset. + + :param material: Mateerial from material database, e.g. mdb.Material.N95 + :type material: Material + :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type data_source: DataSource + :return: List of tuple: ( h offset, path file name) + :rtype: list[tuple[float, str]] + """ + + # Variable declaration + # Number of files in this folder + number_of_files = 0 + # Result list with parameter and file names + result_list: list[tuple[float, str]] = [] + + prefix = f"{material.value}" + # Loop over the files + for file in data_path.iterdir(): + if file.is_file() and file.stem.startswith(prefix): + number_of_files += 1 + file_name = str(file.stem) + # Get the dc-parameter from file name + h_offset_parameter = Data._get_h_offset_parameter(file_name) + # Check for valid parameter (h-offset>0) + if h_offset_parameter !=0 : + list_item = (h_offset_parameter, str(file)) + result_list.append(list_item) + + # Evaluate, if minimum 1 file is found + logger.info(f"{number_of_files} are found.") + + return result_list + + @staticmethod + def _get_h_offset_parameter(file_name: str) -> float: + """ + Get a list of all files with h-dc-offset. + + :param file_name: name of the file with h-dc-offset information + :type file_name: str + :return: h dc offset parameter + :rtype: float + """ + + # Variable declaration + parameter_value: float = 0 + + # Check if prefix is part of the string (if first letter is a '_' this is to ignore + start_pos = file_name.find("_",1) + if start_pos == -1: + # No h-dc offset identified + return parameter_value + end_pos = file_name.find("Am", start_pos) + if end_pos == -1: + # No h-dc offset identified + return 0 + # Check for only numbers + try: + parameter_value = float(file_name[start_pos + 1:end_pos]) + except: + pass + + return parameter_value + def get_complex_permittivity(self, material: Material, data_source: DataSource) -> ComplexPermittivity: """ Get a complex permittivity data set of a certain material and measurement type. diff --git a/materialdatabase/processing/utils/empirical.py b/materialdatabase/processing/utils/empirical.py index f0bd7af..49459ba 100644 --- a/materialdatabase/processing/utils/empirical.py +++ b/materialdatabase/processing/utils/empirical.py @@ -205,6 +205,39 @@ def fit_mu_abs_LEA_MTB( return (mur_0 * k_0 + k_1 * (mur_1 * B + mur_2 * B ** 2)) * k_f +# Added by ASA only guess +def fit_mu_abs_MagNet( + _Tb: tuple[float | np.ndarray, float | np.ndarray, float | np.ndarray], + mur_0: float, + mur_1: float, + mur_2: float, + mur_3: float, + mur_4: float, + c_0: float, + c_1: float +) -> float | npt.NDArray[np.float64]: + """ + Fit function for amplitude permeability μₐ(B, T) based on polynomial B-dependence and linear temperature scaling. + + Typically accurate for b < 0.3 T. + + :param _Tb: + :param mur_0: Base relative permeability (T-independent offset) + :param mur_1: Polynomial coefficients B^1 + :param mur_2: Polynomial coefficients B^2 + :param mur_3: Polynomial coefficients B^3 + :param mur_4: Polynomial coefficients B^4 + :param c_0: Temperature scaling coefficient for constant offset term + :param c_1: Temperature scaling coefficient for B-dependent terms + :return: Amplitude permeability μₐ + """ + _, T, b = _Tb + + k_0 = 1 + T * c_0 # Temperature scaling for base permeability + k_1 = 1 + T * c_1 # Temperature scaling for B-dependent polynomial + + return mur_0 * k_0 + k_1 * (mur_1 * b + mur_2 * b ** 2 + mur_3 * b ** 3 + mur_4 * b ** 4) + # ---------------- # Permittivity Fits # ---------------- From 24eb77143cd7d9f2158ee04e24ee10fdf299bb08 Mon Sep 17 00:00:00 2001 From: SevenOfNinePE Date: Wed, 11 Feb 2026 18:00:47 +0100 Subject: [PATCH 2/5] Update files according checker issues and some obsolete methods. --- examples/combine_material_data.py | 24 ++---- .../processing/complex_permeability.py | 4 +- materialdatabase/processing/data_structure.py | 83 ++++++------------- 3 files changed, 33 insertions(+), 78 deletions(-) diff --git a/examples/combine_material_data.py b/examples/combine_material_data.py index 0ce23be..7f789f4 100644 --- a/examples/combine_material_data.py +++ b/examples/combine_material_data.py @@ -4,17 +4,11 @@ """ import logging -from typing import cast import numpy as np -import pandas as pd import materialdatabase as mdb -from materialdatabase import get_user_colors as colors -from materialdatabase.processing.plot import plot_combined_loss, plot_mu_all, StyleDict -from materialdatabase.meta.data_classes import ComplexPermeabilityPlotConfig, ComplexPermeabilityConfig - - +from materialdatabase.meta.data_classes import ComplexPermeabilityConfig # --------------------------------------------- # Configuration @@ -32,22 +26,14 @@ TEMPS = np.ones_like(FREQS) * 100 # Temperatures in Celsius # Materials to evaluate -mat_cfg=ComplexPermeabilityConfig( - material=mdb.Material.N27, - # setup=mdb.DataSource.TDK_MDT, - setup=mdb.DataSource.MagNet, - pv_fit_function=mdb.FitFunction.enhancedSteinmetz - ) +mat_cfg = ComplexPermeabilityConfig(material=mdb.Material.N27, + setup=mdb.DataSource.MagNet, + pv_fit_function=mdb.FitFunction.enhancedSteinmetz) # --------------------------------------------- -# Load Material Data +# Load Material Data and combine material data with different h-offset # --------------------------------------------- mdb_data = mdb.Data() mdb_data.combine_material_permeability_data(material=mat_cfg.material, data_source=mat_cfg.setup) - - -# combine_material_permeability_data(act_root_dir: str, material: Material, data_source: DataSource) -> bool: - - diff --git a/materialdatabase/processing/complex_permeability.py b/materialdatabase/processing/complex_permeability.py index cd0780c..077e4e8 100644 --- a/materialdatabase/processing/complex_permeability.py +++ b/materialdatabase/processing/complex_permeability.py @@ -190,8 +190,8 @@ def fit_losses(self, mu_abs = np.sqrt(fit_data["mu_real"] ** 2 + fit_data["mu_imag"] ** 2) pv = pv_mag(fit_data["f"].to_numpy(), - (-fit_data["mu_imag"] * mu_0).to_numpy(), - (fit_data["b"] / mu_abs / mu_0).to_numpy()) + - (fit_data["mu_imag"].to_numpy() * mu_0), + fit_data["b"].to_numpy() / mu_abs / mu_0) popt_pv, pcov_pv = curve_fit(log_pv_fit_function, (fit_data["f"], fit_data["T"], diff --git a/materialdatabase/processing/data_structure.py b/materialdatabase/processing/data_structure.py index a5367df..249917b 100644 --- a/materialdatabase/processing/data_structure.py +++ b/materialdatabase/processing/data_structure.py @@ -1,6 +1,5 @@ """Class to represent the data structure and load material data.""" import logging -import os.path # python libraries from pathlib import Path, PurePath from typing import Any @@ -10,7 +9,6 @@ import pandas as pd from matplotlib import pyplot as plt import numpy as np -from numpy.lib.recfunctions import assign_fields_by_name # own libraries from materialdatabase.meta.data_enums import ComplexDataType, Material, DataSource, FitFunction, \ @@ -200,41 +198,14 @@ def plot_available_data(self, exclude_dc_bias: bool = True) -> None: # self.plot_boolean_dataframe(self.build_overview_table()) available_data = self.build_overview_table() - if False: #exclude_dc_bias: + # exclude_dc_bias: + if False: available_data = available_data[~available_data.index.str.contains("_")] logger.info(available_data) self.plot_boolean_dataframe(available_data) - @staticmethod - def get_datasets(act_data_set: pd.DataFrame, h_offset: float) -> pd.DataFrame: - - # Search for h-offset area - h_offset_list = sorted(act_data_set['h_offset'].unique()) - h_offset_high: float = 0 - h_offset_low: float = 0 - - # Find the 2 offsets below and above requested offset - for h_offset_value in h_offset_list: - h_offset_high = h_offset_value - if h_offset_value <= h_offset: - h_offset_low = h_offset_value - else: - break - - # Check if h_offset is higher than maximal offset value - if h_offset_high < h_offset: - raise ValueError(f"H-Offset value {h_offset} is higher than maximum measured H-Offset value of {h_offset_high}") - - # Assemble result datasets - result_low = act_data_set[act_data_set['h_offset'] == h_offset_low] - result_high = act_data_set[act_data_set['h_offset'] == h_offset_high] - result_datasets = pd.concat([result_low, result_high], axis = 0) - result_datasets.reset_index() - - return result_datasets - - def get_available_h_offset(self, material: Material, data_source: DataSource, h_offset: float = 0) -> list[float]: + def get_available_h_offset(self, material: Material, data_source: DataSource) -> list[float]: """ Get the list of available h-offsets of the certain material. @@ -245,7 +216,6 @@ def get_available_h_offset(self, material: Material, data_source: DataSource, h_ :return: List of material data :rtype: float """ - # Check if requested data is without h-offset path2file = Path(f"{self.root_dir}/complex_permeability/{data_source.value}/{material.value}.csv") @@ -255,7 +225,7 @@ def get_available_h_offset(self, material: Material, data_source: DataSource, h_ logger.info(f"h-offset read from {path2file}.") data_set = pd.read_csv(path2file, sep=",") - if not "h_offset" in data_set.columns: + if "h_offset" not in data_set.columns: # Create combined dataset self.combine_material_permeability_data(material, data_source) # Read updated CSV-File again @@ -268,10 +238,10 @@ def get_available_h_offset(self, material: Material, data_source: DataSource, h_ return h_offset_list - - def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType, h_offset: float = 0) -> pd.DataFrame: + def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType, h_offset: float = 0) -> pd.DataFrame: """ Get a complex data set of a certain material, data type and measurement. + If the h_offset = 0 (Default parameter) and the data set has no h-offset-value (older format), the h-offset will be added to the data. A copy of the old data will be provided. @@ -286,7 +256,7 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data :return: Requested data within a data frame :rtype: pd.DataFrame """ - + # Check data type if data_type not in {item.value for item in ComplexDataType}: raise ValueError(f"{data_type} is no valid complex data type.\n" f"Valid complex data types are: {[item.value for item in ComplexDataType]}") @@ -301,7 +271,7 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data data_set = pd.read_csv(path2file, sep=",") if data_type == ComplexDataType.complex_permeability: - if not "h_offset" in data_set.columns: + if "h_offset" not in data_set.columns: # Create combined dataset self.combine_material_permeability_data(material, data_source) # Read updated CSV-File again @@ -325,10 +295,16 @@ def get_complex_permeability(self, """ Get a complex permeability data set of a certain material and measurement type. - :param material: e.g. mdb.Material.N95 - :param data_source: e.g. mdb.MeasurementSetup.TDK_MDT - :param pv_fit_function: - :return: + :param material: Material from material database, e.g. mdb.Material.N95 + :type material: Material + :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT + :type data_source: DataSource + :param pv_fit_function: Algorithm to fit data point by given measurments + :type pv_fit_function: FitFunction + :param h_offset: H-Offset of the requested data + :type h_offset: float + :return: Requested data within a data frame + :rtype: pd.DataFrame """ dataset = self.get_complex_data_set( material=material, @@ -340,10 +316,8 @@ def get_complex_permeability(self, def combine_material_permeability_data(self, material: Material, data_source: DataSource) -> bool: """ - Combines all files with different h-offset of one material. + Combine all files with different h-offset of one material. - :param act_root_dir: root directory of material database - :type act_root_dir: str :param material: Material from material database, e.g. mdb.Material.N95 :type material: Material :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT @@ -351,11 +325,8 @@ def combine_material_permeability_data(self, material: Material, data_source: Da :return: List of material data :rtype: float """ - - # Number of files in this folder - number_of_files = 0 # Return value - is_done_successfull=False + is_done_successfull = False result_list: list[tuple[float, str]] df_list: list[pd.DataFrame] = [] @@ -384,7 +355,7 @@ def combine_material_permeability_data(self, material: Material, data_source: Da # Check if h-offset data frames are found if len(df_list): # Check if h_offset is still part of the file - if not "h_offset" in df_base.columns: + if "h_offset" not in df_base.columns: df_base['h_offset'] = 0 df_list.append(df_base) # Combine all data frames @@ -406,7 +377,7 @@ def combine_material_permeability_data(self, material: Material, data_source: Da # Notify, that no h-offset file is found logger.info(f"No offset file correspondent to file {data_base_file.name} is found.") # Check if h_offset is still part of the file - if not "h_offset" in df_base.columns: + if "h_offset" not in df_base.columns: # Notify, that actual file has no H-offset column, which is now added logger.info(f"H-offset column is added to file {data_base_file.name}.") df_base['h_offset'] = 0 @@ -425,7 +396,7 @@ def combine_material_permeability_data(self, material: Material, data_source: Da @staticmethod def _get_next_backup_filename(pathname: str, base_name: str, extension: str = '.csv') -> Path: """ - Provides a 'free' file name with a suitable number. + Provide a 'free' file name with a suitable number. :param pathname: root directory of material database :type pathname: str @@ -436,7 +407,7 @@ def _get_next_backup_filename(pathname: str, base_name: str, extension: str = '. :return: Path-object with file name, which still not exists in path :rtype: Path """ - base_path = pathname+ "/" + base_name + base_path = pathname + "/" + base_name orig_file_path = Path(base_path + extension) # Check, if name does not exists @@ -464,7 +435,6 @@ def _get_h_dc_offset_data_list(data_path: Path, material: Material) -> list[tupl :return: List of tuple: ( h offset, path file name) :rtype: list[tuple[float, str]] """ - # Variable declaration # Number of files in this folder number_of_files = 0 @@ -480,7 +450,7 @@ def _get_h_dc_offset_data_list(data_path: Path, material: Material) -> list[tupl # Get the dc-parameter from file name h_offset_parameter = Data._get_h_offset_parameter(file_name) # Check for valid parameter (h-offset>0) - if h_offset_parameter !=0 : + if h_offset_parameter != 0: list_item = (h_offset_parameter, str(file)) result_list.append(list_item) @@ -499,12 +469,11 @@ def _get_h_offset_parameter(file_name: str) -> float: :return: h dc offset parameter :rtype: float """ - # Variable declaration parameter_value: float = 0 # Check if prefix is part of the string (if first letter is a '_' this is to ignore - start_pos = file_name.find("_",1) + start_pos = file_name.find("_", 1) if start_pos == -1: # No h-dc offset identified return parameter_value From a1b2cf7adc5e600f7ca9190ef5bb4d198e711f25 Mon Sep 17 00:00:00 2001 From: SevenOfNinePE Date: Wed, 11 Feb 2026 18:28:59 +0100 Subject: [PATCH 3/5] Fix spelling issues. --- docs/wordlist | 3 +++ materialdatabase/processing/data_structure.py | 4 ++-- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/docs/wordlist b/docs/wordlist index cda1a30..245d765 100644 --- a/docs/wordlist +++ b/docs/wordlist @@ -109,3 +109,6 @@ GridSpec pdf dft Epcos +DataSource +pathname + diff --git a/materialdatabase/processing/data_structure.py b/materialdatabase/processing/data_structure.py index 249917b..e27f07d 100644 --- a/materialdatabase/processing/data_structure.py +++ b/materialdatabase/processing/data_structure.py @@ -299,7 +299,7 @@ def get_complex_permeability(self, :type material: Material :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT :type data_source: DataSource - :param pv_fit_function: Algorithm to fit data point by given measurments + :param pv_fit_function: Algorithm to fit data point by given measurements :type pv_fit_function: FitFunction :param h_offset: H-Offset of the requested data :type h_offset: float @@ -428,7 +428,7 @@ def _get_h_dc_offset_data_list(data_path: Path, material: Material) -> list[tupl """ Get a list of all files with h-dc-offset. - :param material: Mateerial from material database, e.g. mdb.Material.N95 + :param material: Material from material database, e.g. mdb.Material.N95 :type material: Material :param data_source: Source folder of the material database, e.g. mdb.MeasurementSetup.TDK_MDT :type data_source: DataSource From 71df6ac75d02ec03b8953cde14abb322041340fc Mon Sep 17 00:00:00 2001 From: SevenOfNinePE Date: Tue, 3 Mar 2026 13:04:56 +0100 Subject: [PATCH 4/5] Update of merge with main. Background: Improper merge done before. --- examples/combine_material_data.py | 2 +- materialdatabase/meta/data_enums.py | 10 ++--- materialdatabase/processing/data_structure.py | 37 +++++++++++++++---- .../processing/utils/empirical.py | 35 +----------------- 4 files changed, 36 insertions(+), 48 deletions(-) diff --git a/examples/combine_material_data.py b/examples/combine_material_data.py index 7f789f4..be9c345 100644 --- a/examples/combine_material_data.py +++ b/examples/combine_material_data.py @@ -1,6 +1,6 @@ """Example to combine material data. -This script enables users to combine material data, if this is still no done. +This script enables users to combine material data, if this is still not done. """ import logging diff --git a/materialdatabase/meta/data_enums.py b/materialdatabase/meta/data_enums.py index 6e6c8ef..75dd556 100644 --- a/materialdatabase/meta/data_enums.py +++ b/materialdatabase/meta/data_enums.py @@ -7,7 +7,7 @@ from typing import Any from materialdatabase.processing.utils.empirical import steinmetz_qT, enhanced_steinmetz_qT, \ log_enhanced_steinmetz_qT, log_steinmetz_qT, \ - fit_mu_abs_TDK_MDT, fit_mu_abs_LEA_MTB, \ + fit_mu_abs_TDK_MDT, fit_mu_abs_LEA_MTB_MagNet, \ fit_eps_qT @@ -17,8 +17,8 @@ class FitFunction(str, Enum): Steinmetz = "steinmetz" enhancedSteinmetz = "enhanced_steinmetz" mu_abs_TDK_MDT = "mu_abs_TDK_MDT" - mu_abs_LEA_MTB = "mu_abs_LEA_MTB" - mu_abs_MagNet = "mu_abs_MagNet" + mu_abs_LEA_MTB = "mu_abs_LEA_MTB_MagNet" + mu_abs_MagNet = "mu_abs_LEA_MTB_MagNet" eps_abs = "fit_eps_qT" def get_log_function(self) -> Any: @@ -42,8 +42,8 @@ def get_function(self) -> Any: FitFunction.Steinmetz: steinmetz_qT, FitFunction.enhancedSteinmetz: enhanced_steinmetz_qT, FitFunction.mu_abs_TDK_MDT: fit_mu_abs_TDK_MDT, - FitFunction.mu_abs_LEA_MTB: fit_mu_abs_LEA_MTB, - FitFunction.mu_abs_MagNet: fit_mu_abs_LEA_MTB, + FitFunction.mu_abs_LEA_MTB: fit_mu_abs_LEA_MTB_MagNet, + FitFunction.mu_abs_MagNet: fit_mu_abs_LEA_MTB_MagNet, FitFunction.eps_abs: fit_eps_qT }[self] diff --git a/materialdatabase/processing/data_structure.py b/materialdatabase/processing/data_structure.py index d7204bc..466edc3 100644 --- a/materialdatabase/processing/data_structure.py +++ b/materialdatabase/processing/data_structure.py @@ -198,8 +198,7 @@ def plot_available_data(self, exclude_dc_bias: bool = True) -> None: # self.plot_boolean_dataframe(self.build_overview_table()) available_data = self.build_overview_table() - # exclude_dc_bias: - if False: + if exclude_dc_bias: available_data = available_data[~available_data.index.str.contains("_")] logger.info(available_data) @@ -238,7 +237,12 @@ def get_available_h_offset(self, material: Material, data_source: DataSource) -> return h_offset_list - def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType, h_offset: float = 0) -> pd.DataFrame: + def get_complex_data_set(self, + material: Material, + data_source: DataSource, + data_type: ComplexDataType, + h_offset: float = 0, + probe_codes: list[str] | None = None) -> pd.DataFrame: """ Get a complex data set of a certain material, data type and measurement. @@ -252,7 +256,9 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data :param data_type: Type of requested data e.g. mdb.ComplexDataType.complex_permeability :type data_type: ComplexDataType :param h_offset: H-Offset of the requested data - :type h_offset: float + :type h_offset: float, + :param probe_codes: None -> all probe codes available or select probes via ['Y3F', '7U8'], e.g. + :type probe_codes: list[str] | None :return: Requested data within a data frame :rtype: pd.DataFrame """ @@ -267,7 +273,6 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data if path2file not in self.all_paths: raise ValueError(f"The specified data file with path {path2file} does not exist.") else: - logger.info(f"Complex data read from {path2file}.") data_set = pd.read_csv(path2file, sep=",") if data_type == ComplexDataType.complex_permeability: @@ -285,13 +290,23 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data else: result_data_set = data_set + # Check if probes are requested + if probe_codes is None: + logger.info(f"Complex data read from {path2file}.") + return result_data_set + else: + logger.info(f"Complex data read from {path2file}" + f"for the probe codes {probe_codes}.") + result_data_set = result_data_set.loc[result_data_set["probe"].isin(probe_codes)] + return result_data_set def get_complex_permeability(self, material: Material, data_source: DataSource, pv_fit_function: FitFunction, - h_offset: float = 0) -> ComplexPermeability: + h_offset: float = 0, + probe_codes: list[str] | None = None) -> ComplexPermeability: """ Get a complex permeability data set of a certain material and measurement type. @@ -303,6 +318,8 @@ def get_complex_permeability(self, :type pv_fit_function: FitFunction :param h_offset: H-Offset of the requested data :type h_offset: float + :param probe_codes: None -> all probe codes available or select probes via ['Y3F', '7U8'], e.g. + :type probe_codes: list[str] :return: Requested data within a data frame :rtype: pd.DataFrame """ @@ -310,7 +327,8 @@ def get_complex_permeability(self, material=material, data_source=data_source, data_type=ComplexDataType.complex_permeability, - h_offset=h_offset + h_offset=h_offset, + probe_codes=probe_codes ) return ComplexPermeability(dataset, material, data_source, pv_fit_function) @@ -489,7 +507,10 @@ def _get_h_offset_parameter(file_name: str) -> float: return parameter_value - def get_complex_permittivity(self, material: Material, data_source: DataSource) -> ComplexPermittivity: + def get_complex_permittivity(self, + material: Material, + data_source: DataSource, + probe_codes: list[str] | None = None) -> ComplexPermittivity: """ Get a complex permittivity data set of a certain material and measurement type. diff --git a/materialdatabase/processing/utils/empirical.py b/materialdatabase/processing/utils/empirical.py index 49459ba..30db99d 100644 --- a/materialdatabase/processing/utils/empirical.py +++ b/materialdatabase/processing/utils/empirical.py @@ -167,7 +167,7 @@ def fit_mu_abs_TDK_MDT( return mur_0 * k_0 + k_1 * (mur_1 * b + mur_2 * b ** 2 + mur_3 * b ** 3 + mur_4 * b ** 4) -def fit_mu_abs_LEA_MTB( +def fit_mu_abs_LEA_MTB_MagNet( fTb: tuple[float | np.ndarray, float | np.ndarray, float | np.ndarray], mur_0: float, mur_1: float, @@ -205,39 +205,6 @@ def fit_mu_abs_LEA_MTB( return (mur_0 * k_0 + k_1 * (mur_1 * B + mur_2 * B ** 2)) * k_f -# Added by ASA only guess -def fit_mu_abs_MagNet( - _Tb: tuple[float | np.ndarray, float | np.ndarray, float | np.ndarray], - mur_0: float, - mur_1: float, - mur_2: float, - mur_3: float, - mur_4: float, - c_0: float, - c_1: float -) -> float | npt.NDArray[np.float64]: - """ - Fit function for amplitude permeability μₐ(B, T) based on polynomial B-dependence and linear temperature scaling. - - Typically accurate for b < 0.3 T. - - :param _Tb: - :param mur_0: Base relative permeability (T-independent offset) - :param mur_1: Polynomial coefficients B^1 - :param mur_2: Polynomial coefficients B^2 - :param mur_3: Polynomial coefficients B^3 - :param mur_4: Polynomial coefficients B^4 - :param c_0: Temperature scaling coefficient for constant offset term - :param c_1: Temperature scaling coefficient for B-dependent terms - :return: Amplitude permeability μₐ - """ - _, T, b = _Tb - - k_0 = 1 + T * c_0 # Temperature scaling for base permeability - k_1 = 1 + T * c_1 # Temperature scaling for B-dependent polynomial - - return mur_0 * k_0 + k_1 * (mur_1 * b + mur_2 * b ** 2 + mur_3 * b ** 3 + mur_4 * b ** 4) - # ---------------- # Permittivity Fits # ---------------- From 3b7f002497b0f6eb499bea360f0684a4d76234b3 Mon Sep 17 00:00:00 2001 From: SevenOfNinePE Date: Tue, 3 Mar 2026 14:34:59 +0100 Subject: [PATCH 5/5] Move h_offset processing from 'get_complex_dataset' to 'get_complex_permeability'. Add h_offset column to csv-files of materials N49, N87, and N95 --- .../data/complex_permeability/LEA_MTB/N49.csv | 2994 ++++++++--------- .../data/complex_permeability/TDK_MDT/N49.csv | 568 ++-- .../data/complex_permeability/TDK_MDT/N87.csv | 676 ++-- .../data/complex_permeability/TDK_MDT/N95.csv | 668 ++-- materialdatabase/processing/data_structure.py | 50 +- 5 files changed, 2477 insertions(+), 2479 deletions(-) diff --git a/materialdatabase/data/complex_permeability/LEA_MTB/N49.csv b/materialdatabase/data/complex_permeability/LEA_MTB/N49.csv index 5a0a751..4999568 100644 --- a/materialdatabase/data/complex_permeability/LEA_MTB/N49.csv +++ b/materialdatabase/data/complex_permeability/LEA_MTB/N49.csv @@ -1,1497 +1,1497 @@ -probe,f,T,b,mu_real,mu_imag -65Y,62350.0,25.064,0.0501389727989721,1629.5414812302276,65.5192810293504 -65Y,59490.0,25.12,0.1000348255832872,1803.258471383968,123.72953872433648 -65Y,55520.0,25.095,0.2005703229209439,2029.449687551372,276.30124391517614 -65Y,91120.0,25.078,0.0502396648758815,1649.4708277274765,71.56469082517135 -65Y,86950.0,25.089,0.1000306240128049,1820.834448804406,137.78448158962064 -65Y,81900.0,25.147,0.2007648615819002,2023.5233202248205,305.2886648456154 -65Y,137830.0,25.112,0.0250194412414449,1557.0071050678905,36.77389863173992 -65Y,133640.0,25.117,0.0500410997744957,1672.6256263459609,73.78182466131237 -65Y,127850.0,25.114,0.1002720988931634,1831.738121413412,146.690742390442 -65Y,120470.0,25.105,0.200240715479271,2028.8166136430243,336.2946477276698 -65Y,198160.0,25.049,0.024743009729174,1550.6878131156411,37.63642323447126 -65Y,191970.0,25.047,0.0500839366882486,1670.4963132815913,77.63432793044726 -65Y,183740.0,25.051,0.1001364048055831,1804.602644447997,156.10872832142746 -65Y,173320.0,25.135,0.2004386005003841,2017.05663257864,373.598397215815 -65Y,295610.0,25.096,0.0251113162945369,1582.138310252878,44.47759181345656 -65Y,287080.0,25.093,0.0501096135922877,1649.9575138379712,88.29694531057476 -65Y,275750.0,25.095,0.1002528307992479,1800.658884167089,175.22881411218862 -65Y,261840.0,25.162,0.200436626224332,2001.1826721032223,434.97519586713713 -65Y,366090.0,25.174,0.0250009055826838,1571.9660533903427,46.68943408748556 -65Y,355750.0,25.171,0.0500389822175071,1642.1232262726885,91.03737576792604 -65Y,342220.0,25.202,0.1002607712134441,1788.1274307718884,182.51414191275973 -65Y,439400.0,25.173,0.024959761087575,1568.396097131676,49.922174604019176 -65Y,427280.0,25.168,0.0501792992258979,1642.5240789499137,97.88470655295347 -65Y,410850.0,25.154,0.1003398985683449,1789.357490065492,197.3421319812833 -65Y,525560.0,25.114,0.0250396042342331,1582.5226684884365,59.01989188336664 -65Y,511950.0,25.11,0.0499843584118712,1645.8197700117398,109.00337543120106 -65Y,493120.0,25.093,0.0998608125945481,1798.4607422539418,219.12810285912056 -65Y,630860.0,25.01,0.0250472230371312,1566.367140547018,66.72600427626827 -65Y,614150.0,25.007,0.0500099223116014,1657.978782765061,122.73004415147912 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-R16x9.6x6.3,137901.6,30.118,0.1644830424234002,1866.5862265171288,189.5500106466171 -R16x9.6x6.3,137201.6,30.11,0.171958729003967,1879.3559939100253,202.0493524288629 -R16x9.6x6.3,136601.6,30.126,0.1776246079345854,1874.142408421679,213.7096897657896 -R16x9.6x6.3,136101.6,30.123,0.1840558859018902,1882.6590768966976,225.30260191027503 -R16x9.6x6.3,135501.6,30.133,0.1915162118254251,1898.633482807837,238.210667694246 -R16x9.6x6.3,135001.6,30.124,0.1977805389363779,1915.463252858844,252.27234193970105 -R16x9.6x6.3,134601.6,30.132,0.2036931681307252,1931.4492319003875,265.5097259887617 -R16x9.6x6.3,216422.2,30.14,0.025216939784418,1510.1390543742743,23.165177517673182 -R16x9.6x6.3,215022.2,30.117,0.0343619372700392,1537.4619806054952,32.8638600382921 -R16x9.6x6.3,212922.2,30.133,0.0454943045433537,1603.8426704379483,43.80809021987099 -R16x9.6x6.3,211722.2,30.135,0.0543658090265935,1615.2875429171686,54.95389264691321 -R16x9.6x6.3,210322.2,30.13,0.0636108728516439,1640.337034969364,66.60602932588905 -R16x9.6x6.3,208922.2,30.137,0.073214889380956,1662.5345381659642,78.77548884263736 -R16x9.6x6.3,207522.2,30.158,0.0832644079409716,1697.5110369312536,92.44052249060886 -R16x9.6x6.3,206322.2,30.152,0.0922418297624451,1712.1570477363978,103.0751297509691 -R16x9.6x6.3,205122.2,30.154,0.1016101197479214,1742.6723021583246,114.8612402113879 -R16x9.6x6.3,204022.2,30.125,0.1102909103027144,1754.7871645984474,125.67657801013988 -R16x9.6x6.3,202922.2,30.136,0.1172515336614865,1746.5124528685826,136.74261822819088 -R16x9.6x6.3,201822.2,30.132,0.1258389947760316,1772.136170122043,148.73407812032193 -R16x9.6x6.3,201022.2,30.165,0.1333284124369531,1788.4427266932364,159.21451496266937 -R16x9.6x6.3,200122.2,30.131,0.1408346537717074,1802.3271273903088,172.1183848672696 -R16x9.6x6.3,199122.2,30.129,0.1485752252014708,1820.109475940078,186.05571487737208 -R16x9.6x6.3,198222.2,30.122,0.1561626318142278,1839.7139822206543,199.79722961138347 -R16x9.6x6.3,197622.2,30.119,0.1619501765806567,1843.2651521031823,209.7410221251546 -R16x9.6x6.3,196822.2,30.125,0.1691173953374362,1864.4986045307337,221.8478847787904 -R16x9.6x6.3,196022.2,30.126,0.1762273416824178,1881.1846829392807,234.03415932900623 -R16x9.6x6.3,195422.2,30.132,0.1810957346367432,1880.8156232599647,247.20298402595296 -R16x9.6x6.3,194622.2,30.113,0.1880630868087766,1896.697074715193,260.6707923789773 -R16x9.6x6.3,194022.2,30.121,0.1937807237043417,1912.109429560359,274.5504530444442 -R16x9.6x6.3,193422.2,30.122,0.1991818830431229,1917.654942283811,285.37481901628564 -R16x9.6x6.3,192722.2,30.112,0.2067243618184639,1940.5198382507235,302.3272984824999 -R16x9.6x6.3,272872.6,30.084,0.0195343685865628,1503.347540694628,22.91279887727915 -R16x9.6x6.3,270872.6,30.088,0.0301493867890568,1564.152327829222,31.936418304480547 -R16x9.6x6.3,268872.6,30.082,0.0397227703221805,1587.135188800092,42.02411677161115 -R16x9.6x6.3,266872.6,30.079,0.0492974760099194,1603.0525980833404,52.7037847662326 -R16x9.6x6.3,265372.6,30.097,0.0584054817504311,1629.8733768874806,63.35312659186676 -R16x9.6x6.3,263572.6,30.107,0.0677409181379577,1652.831208832279,74.28292085650166 -R16x9.6x6.3,261772.6,30.094,0.0777360397788302,1685.8501641596984,87.20769829893302 -R16x9.6x6.3,260272.6,30.113,0.0866626532760049,1705.3958601207416,99.3588490071804 -R16x9.6x6.3,258872.6,30.131,0.0937973611370359,1700.1917660969796,112.08665761601198 -R16x9.6x6.3,257472.6,30.131,0.1022448974746878,1716.5969791020518,123.7760448956947 -R16x9.6x6.3,256172.6,30.126,0.1107072467098519,1735.24778716123,135.26645695003063 -R16x9.6x6.3,255072.6,30.119,0.1181151660507928,1749.7949014090448,144.66518688741402 -R16x9.6x6.3,253872.6,30.135,0.1258281443907379,1771.316418616568,156.46474315129203 -R16x9.6x6.3,252572.6,30.13,0.133992809515773,1792.8230339284826,169.0040327114207 -R16x9.6x6.3,251372.6,30.149,0.1404591030921731,1796.4870266540518,181.55813218758388 -R16x9.6x6.3,250572.6,30.142,0.1472176238126815,1816.7121711343536,193.77190060031683 -R16x9.6x6.3,249572.6,30.16,0.1538592024220667,1828.245251890312,207.7505797146821 -R16x9.6x6.3,248672.6,30.149,0.1602292034622239,1843.8546185938544,220.89238678591207 -R16x9.6x6.3,247672.6,30.143,0.1655698144753705,1844.5800257217084,234.22983729827183 -R16x9.6x6.3,246872.6,30.13,0.1718042235977989,1862.713095931121,247.08936549730748 -R16x9.6x6.3,246172.6,30.157,0.1776011086826639,1876.0115210163333,258.3623610191673 -R16x9.6x6.3,245372.6,30.158,0.1831542283790166,1885.992843721744,269.9678423666217 -R16x9.6x6.3,244972.6,30.16,0.1876279842373494,1888.9626695935435,279.9112636016709 -R16x9.6x6.3,243672.6,30.17,0.1960427069888415,1911.6697996654937,297.94886216065834 -R16x9.6x6.3,242972.6,30.159,0.201415017188118,1927.0162806251624,310.21668864183465 -R16x9.6x6.3,324362.8,30.152,0.0196032585106296,1506.0405062677553,25.84822445423432 -R16x9.6x6.3,322362.8,30.152,0.029977542410263,1563.1809102550742,34.65761901719259 -R16x9.6x6.3,319762.8,30.17,0.0397564817288694,1589.7004149244094,44.86095008327012 -R16x9.6x6.3,317862.8,30.174,0.0486311006393631,1610.5694741691311,55.79371374005993 -R16x9.6x6.3,315762.8,30.157,0.0577700246399844,1629.4627649014917,66.92854297296924 -R16x9.6x6.3,313762.8,30.172,0.0669131704610268,1653.813619801534,77.68365971944904 -R16x9.6x6.3,312062.8,30.176,0.0745847331481214,1639.574953028036,90.32252355947982 -R16x9.6x6.3,310062.8,30.167,0.0836652360394453,1673.8188515409531,103.2732861363224 -R16x9.6x6.3,308662.8,30.165,0.0917221163986296,1693.733272845437,114.84295913807988 -R16x9.6x6.3,307062.8,30.162,0.0999059482324077,1709.9632977515596,124.85254778218122 -R16x9.6x6.3,305662.8,30.139,0.1077609987660015,1727.7696875787142,136.234046725665 -R16x9.6x6.3,304162.8,30.139,0.1149113543077667,1738.0351196032084,148.5307766189198 -R16x9.6x6.3,302862.8,30.153,0.122059654075954,1753.5072666303445,159.65284749132744 -R16x9.6x6.3,301462.8,30.173,0.1295065100728524,1777.7736017558552,172.66337368335755 -R16x9.6x6.3,300262.8,30.171,0.1354274959607151,1780.6735487971189,185.1888057031728 -R16x9.6x6.3,299162.8,30.189,0.1421942415621047,1802.307171671188,199.2540324368961 -R16x9.6x6.3,298062.8,30.189,0.1483320819977609,1809.218953134992,211.7951545081193 -R16x9.6x6.3,297062.8,30.196,0.1540779582527287,1821.7021968861816,224.5239276011209 -R16x9.6x6.3,295962.8,30.205,0.1605691658774604,1844.3491180065405,237.070698702112 -R16x9.6x6.3,294962.8,30.204,0.1664396883909536,1852.6501297098064,248.1302227555112 -R16x9.6x6.3,294162.8,30.191,0.1718557545115305,1867.294912272619,260.31738049777726 -R16x9.6x6.3,293262.8,30.206,0.1770466108650262,1877.116102054213,271.93938664668417 -R16x9.6x6.3,292362.8,30.216,0.1829813778549956,1895.6207566453568,290.0671321645054 -R16x9.6x6.3,291262.8,30.228,0.1897709833427729,1906.619956726297,308.2681716132801 -R16x9.6x6.3,290462.8,30.236,0.1948944588817772,1914.0818163623896,319.8556230492471 -R16x9.6x6.3,289662.8,30.238,0.1997189833031859,1922.5412263179587,333.89267390269663 -R16x9.6x6.3,289262.8,30.219,0.2040036697039802,1937.244629977223,345.93292279853654 -R16x9.6x6.3,399910.2,30.185,0.0195665925569938,1507.9007309784083,27.926087457772656 -R16x9.6x6.3,397410.2,30.186,0.0296140637135114,1572.2356571079583,38.31321750526164 -R16x9.6x6.3,394510.2,30.194,0.0389818906208813,1594.5258268716582,48.56615282543929 -R16x9.6x6.3,392310.2,30.174,0.0475224237769021,1610.034614355458,59.29989389272119 -R16x9.6x6.3,389910.2,30.167,0.056349788468546,1629.9424015895668,70.85219303430245 -R16x9.6x6.3,387610.2,30.164,0.0637589475993448,1625.2396581582086,83.25082914252862 -R16x9.6x6.3,385510.2,30.17,0.0727459804290559,1644.668938439874,94.64122113753928 -R16x9.6x6.3,383610.2,30.152,0.0806326277822421,1678.915481662156,107.55286096929744 -R16x9.6x6.3,381710.2,30.162,0.0885906940813971,1697.0491233928374,117.40808764044488 -R16x9.6x6.3,379910.2,30.153,0.0956971500777225,1705.4051106048414,129.99736087089283 -R16x9.6x6.3,378410.2,30.15,0.102744864273053,1718.6041546317242,141.75676102684105 -R16x9.6x6.3,376610.2,30.155,0.1095807915948377,1726.1994440152666,153.48354473953205 -R16x9.6x6.3,375410.2,30.157,0.1161069026099826,1744.446078924968,164.63952818512644 -R16x9.6x6.3,373710.2,30.148,0.1230785927512662,1754.5452905555371,175.65827591859812 -R16x9.6x6.3,372610.2,30.144,0.1291626166631059,1779.5233402978367,187.8654990221592 -R16x9.6x6.3,371110.2,30.162,0.1355373337708212,1793.1186410081482,201.18497685427715 -R16x9.6x6.3,370010.2,30.166,0.1412448952208164,1803.749420333846,213.00953572335905 -R16x9.6x6.3,368910.2,30.155,0.1468272171216545,1816.997071464196,225.65541969001416 -R16x9.6x6.3,367710.2,30.173,0.1525331535911284,1826.446981111049,238.1859432359594 -R16x9.6x6.3,366610.2,30.165,0.1577045467709892,1839.383956937825,250.8881243528507 -R16x9.6x6.3,365510.2,30.177,0.1624588986478422,1846.1514929062948,267.2162496043084 -R16x9.6x6.3,364310.2,30.154,0.1677820490393086,1855.8835523843952,278.8458542327891 -R16x9.6x6.3,363510.2,30.178,0.1725604957823053,1865.671301254588,289.9017117857621 -R16x9.6x6.3,362610.2,30.16,0.1785665143248639,1875.355642429933,305.72656451250924 -R16x9.6x6.3,361510.2,30.178,0.1834266826393521,1881.7388327368465,317.1367130152541 -R16x9.6x6.3,360410.2,30.197,0.1883214275271498,1891.2403852856205,331.09473904041937 -R16x9.6x6.3,360110.2,30.203,0.1924173537806524,1907.431157695976,343.5578191172963 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-R16x9.6x6.3,502262.8000000001,30.172,0.1062769246633641,1740.9441960349343,172.09597596153608 -R16x9.6x6.3,500462.8000000001,30.166,0.1121640737885112,1751.4696826278769,183.5256082612064 -R16x9.6x6.3,498862.8000000001,30.174,0.1173569684867935,1750.214595047387,194.3341473803537 -R16x9.6x6.3,497262.8000000001,30.167,0.123108762792261,1766.0630174654518,207.4123867580602 -R16x9.6x6.3,495962.8000000001,30.178,0.1283859609460414,1774.6170981986145,222.3421407450633 -R16x9.6x6.3,494562.8000000001,30.175,0.1333128049927145,1793.655634702866,235.4359622917644 -R16x9.6x6.3,493162.8000000001,30.192,0.1386745196760236,1804.8502765124872,245.859597316858 -R16x9.6x6.3,491762.8000000001,30.21,0.1435194393131187,1817.7289963036903,259.74238732332554 -R16x9.6x6.3,490862.8000000001,30.204,0.1478699058675306,1824.216839544378,269.0981281206807 -R16x9.6x6.3,489662.8000000001,30.204,0.1527634765234283,1830.7337526921765,278.5333063572653 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-R16x9.6x6.3,776293.6,30.11,0.1114762911681244,1773.9341454916566,267.5092233447598 -R16x9.6x6.3,774793.6,30.091,0.1154479658564081,1788.855506458068,280.7911174301181 -R16x9.6x6.3,773193.6,30.108,0.1194410933174911,1792.596740233358,290.173547657125 -R16x9.6x6.3,771893.6,30.102,0.1229407222243908,1797.8488068407005,300.01291811093785 -R16x9.6x6.3,771193.6,30.11,0.1264462790675636,1805.327578448725,310.01117380360114 -R16x9.6x6.3,770393.6,30.122,0.1301620676921989,1814.802123041703,318.47359291009 -R16x9.6x6.3,903386.8,30.068,0.0115692213417155,1588.5207769178671,63.5546921194514 -R16x9.6x6.3,901986.8,30.068,0.0183906998709868,1621.6959025886697,76.66025697434235 -R16x9.6x6.3,898486.7999999999,30.051,0.0255335718441012,1643.483814803128,93.10634830730048 -R16x9.6x6.3,894286.7999999999,30.061,0.0316219225805132,1636.1344058186626,106.89180163772816 -R16x9.6x6.3,891186.7999999999,30.063,0.0376030719385646,1652.0605225638728,118.28004400123253 -R16x9.6x6.3,888086.7999999999,30.059,0.0432282611934243,1653.393623276008,130.55641953226362 -R16x9.6x6.3,885886.7999999999,30.058,0.0481922768211747,1648.160655707104,141.91469463600865 -R16x9.6x6.3,882986.7999999999,30.058,0.0542206585508858,1664.0300383583626,154.68405186178927 -R16x9.6x6.3,880886.7999999999,30.067,0.0592589900771131,1672.5962235051234,165.98196810036012 -R16x9.6x6.3,878786.7999999999,30.054,0.0640832077383381,1689.5390348749604,178.2031511126495 -R16x9.6x6.3,877186.7999999999,30.07,0.0682242067470739,1689.0888143914226,189.92657586288897 -R16x9.6x6.3,874986.7999999999,30.073,0.0729089653323144,1699.4245353636063,200.883928179406 -R16x9.6x6.3,872686.7999999999,30.066,0.0776263499622805,1708.6318503336297,215.70520720686733 -R16x9.6x6.3,871086.7999999999,30.054,0.0817479222085801,1733.2820235017114,227.27018825419685 -R16x9.6x6.3,868786.7999999999,30.06,0.0863508417647963,1748.9050605244656,237.23243828042948 -R16x9.6x6.3,867786.7999999999,30.081,0.0901274912818956,1751.1437669128409,246.64193314973164 -R16x9.6x6.3,866286.7999999999,30.085,0.0939194603631721,1753.275028072577,256.6029444069748 -R16x9.6x6.3,865586.7999999999,30.091,0.0979418626027551,1770.34014464341,267.1270501352017 -R16x9.6x6.3,864386.7999999999,30.077,0.101615879564795,1776.2181330575586,277.2784364159421 -R16x9.6x6.3,863086.7999999999,30.094,0.1053228298494508,1782.3515322217763,287.1266968389275 -R16x9.6x6.3,861386.7999999999,30.092,0.108985249949854,1787.32838077117,296.75402861895884 -R16x9.6x6.3,860786.7999999999,30.073,0.1122713672095048,1791.961557246874,307.3891711279104 -R16x9.6x6.3,859986.7999999999,30.075,0.1156569651350079,1799.5246302254643,316.70963147103106 -R16x9.6x6.3,859186.7999999999,30.073,0.1186751109298303,1792.6719169685016,323.19561520639286 -R16x9.6x6.3,857386.7999999999,30.146,0.1228054818670684,1799.602960156257,341.07901163919104 -R16x9.6x6.3,856786.7999999999,30.119,0.1255812374388903,1797.587233359992,349.7615082523709 -R16x9.6x6.3,991212.3,30.004,0.0105156367726275,1581.1624413883924,77.01787144548793 -R16x9.6x6.3,991212.3,30.008,0.0167854338327107,1620.8821725103958,89.84298688020368 -R16x9.6x6.3,986312.3,29.985,0.0236168362292516,1653.5630106788874,107.79945825218026 -R16x9.6x6.3,983512.3,30.006,0.0287745653564891,1638.4655996079057,122.3791356183703 -R16x9.6x6.3,980012.3,30.004,0.0345270825961014,1663.2850861430736,134.10830605678194 -R16x9.6x6.3,976912.3,30.008,0.0396346565550403,1664.3562531077475,146.76729808705835 -R16x9.6x6.3,974712.3,29.995,0.0443992402049969,1661.4181976523523,158.51297095955556 -R16x9.6x6.3,972112.3,29.997,0.0497987232567585,1671.6228730939104,171.17895862989505 -R16x9.6x6.3,970012.3,30.009,0.0544710145656325,1681.8868327514012,181.22884403405664 -R16x9.6x6.3,967912.3,30.015,0.058827574943638,1688.722915160019,192.85688420570435 -R16x9.6x6.3,965812.3,30.001,0.0629492434041472,1689.236584983432,203.31410517093363 -R16x9.6x6.3,963612.3,30.007,0.0673586482255161,1709.013657092122,219.6127260244576 -R16x9.6x6.3,962112.3,30.003,0.0713417726035571,1712.8615815148607,229.5870420362856 -R16x9.6x6.3,959812.3,30.001,0.0754373356146351,1724.559490262396,241.56292407777315 -R16x9.6x6.3,959312.3,30.015,0.0788666587511443,1725.0830370905692,249.8811188170685 -R16x9.6x6.3,956812.3,30.015,0.0828411304362734,1747.1590370210863,262.7351954402536 -R16x9.6x6.3,956812.3,30.05,0.0865563500849288,1764.7191621222075,273.4601486866238 -R16x9.6x6.3,954312.3,30.023,0.0904404513590827,1769.9682150705826,283.2742774331721 -R16x9.6x6.3,953612.3,30.029,0.0939217536190794,1775.7028121921487,291.88000706073706 -R16x9.6x6.3,953212.3,30.015,0.0969866566638137,1785.2359491572056,302.3642427834528 -R16x9.6x6.3,951212.3,30.046,0.100381997403188,1787.1742228564528,311.823385131888 -R16x9.6x6.3,949812.3,30.048,0.1035129841659759,1793.7524755337813,321.1135631230841 -R16x9.6x6.3,948912.3,30.066,0.1066639169590956,1798.3824814637992,329.4959416155254 -R16x9.6x6.3,947212.3,30.045,0.1101186820874641,1805.9064371347208,339.1428348264072 -R16x9.6x6.3,947112.3,30.077,0.1132135830038736,1788.9894017045538,348.9203579989661 -R16x9.6x6.3,945612.3,30.095,0.1167161159021151,1809.8953150142663,361.07914750119056 -R16x9.6x6.3,1105449.65,30.018,0.0113425646345621,1611.7507291514803,113.7893792645422 -R16x9.6x6.3,1100049.65,30.018,0.0176199716839844,1647.8373982986711,128.24218035309153 -R16x9.6x6.3,1089249.65,30.023,0.0235935593214753,1638.2075198183463,142.93581580368146 -R16x9.6x6.3,1089249.65,30.014,0.0284259171811582,1660.8959114163313,155.42843768918974 -R16x9.6x6.3,1089249.65,30.02,0.0326606451516955,1661.3591348255677,167.1744932333682 -R16x9.6x6.3,1087549.65,30.014,0.0368520306461779,1670.272684517986,180.34451259332 -R16x9.6x6.3,1085549.65,30.029,0.0411908830431527,1669.9230239715905,191.39987208706995 -R16x9.6x6.3,1083449.65,30.026,0.0460245346582144,1685.6640730674028,202.29956720735188 -R16x9.6x6.3,1082349.65,30.01,0.0498958466658527,1691.3309434591265,214.14772543687445 -R16x9.6x6.3,1078749.65,30.035,0.0544409223177455,1704.4703179523208,223.7838141617618 -R16x9.6x6.3,1077849.65,30.043,0.0577854834224621,1695.695700929415,237.69696296213152 -R16x9.6x6.3,1075949.65,30.03,0.0614910711574643,1705.50229326716,249.32217303561515 -R16x9.6x6.3,1072849.65,30.047,0.0684709982245241,1717.951607641604,267.4566498793894 -R16x9.6x6.3,1071049.65,30.087,0.072294670656568,1722.6428198367987,274.1518412552245 -R16x9.6x6.3,1071049.65,30.051,0.0752705063272986,1733.9403932768505,286.0335824438526 -R16x9.6x6.3,1067949.65,30.076,0.0793830844727883,1750.6480989507168,294.4336485517842 -R16x9.6x6.3,1067049.65,30.089,0.0824579314615278,1757.65573128092,305.0828692821772 -R16x9.6x6.3,1065349.65,30.061,0.0882896212046582,1779.4338919898676,323.475837873416 -R16x9.6x6.3,1064249.65,30.082,0.0913384560962839,1783.664689047276,333.0721699793172 -R16x9.6x6.3,1062749.65,30.063,0.0948155240552033,1797.025288078011,342.0660639358154 -R16x9.6x6.3,1062649.65,30.12,0.0970427965662724,1789.4670144375073,349.85509413573806 -R16x9.6x6.3,1062649.65,30.069,0.099489571548146,1790.5078681882396,358.8265783357941 -R16x9.6x6.3,1060849.65,30.172,0.103366141441699,1795.4333549067944,372.3053957382853 -R16x9.6x6.3,1060349.65,30.205,0.1055340282248818,1787.4147456600217,372.9025776296154 -R16x9.6x6.3,1201470.7,30.003,0.0109190666275887,1584.7646448386738,146.36390450988313 -R16x9.6x6.3,1187070.7,30.026,0.0170617871358864,1613.9061040167178,156.80848974880277 -R16x9.6x6.3,1187070.7,30.019,0.0216380347275171,1638.5897340398687,166.9505905627239 -R16x9.6x6.3,1183070.7,30.015,0.0262906287420749,1658.709310746627,179.90203261331715 -R16x9.6x6.3,1181270.7,30.007,0.0303979705383116,1663.45659137207,190.4262854629548 -R16x9.6x6.3,1177570.7,30.023,0.0344902796086931,1668.4810088501483,202.80794968503173 -R16x9.6x6.3,1174770.7,30.017,0.0390292350380245,1683.927656182888,213.6470719237682 -R16x9.6x6.3,1170770.7,30.011,0.0432068737653441,1688.8593473279943,223.24329809272348 -R16x9.6x6.3,1169670.7,30.011,0.0468830926925925,1698.499158452865,234.20488607582 -R16x9.6x6.3,1167370.7,30.017,0.0503477032893531,1695.5557573025897,248.4418296377034 -R16x9.6x6.3,1167170.7,30.026,0.0535999524145756,1700.3217711963405,259.09882751602413 -R16x9.6x6.3,1166270.7,30.036,0.0567532171163278,1702.1723550741697,268.4363235554848 -R16x9.6x6.3,1164070.7,30.04,0.060536103574923,1717.717806733783,276.72046666983914 -R16x9.6x6.3,1162270.7,30.023,0.0638777431772881,1721.588731137504,285.99643129952074 -R16x9.6x6.3,1162270.7,30.023,0.0667925546617123,1728.3175938728302,296.20137196924736 -R16x9.6x6.3,1159970.7,30.058,0.0698914429669935,1738.313076787112,307.2988697686304 -R16x9.6x6.3,1157770.7,30.062,0.0734665130196775,1750.6339154676382,316.1196327104756 -R16x9.6x6.3,1157570.7,30.07,0.0761977135087876,1750.1191096275122,324.69206119233314 -R16x9.6x6.3,1156670.7,30.066,0.0791872363163222,1754.9671638682948,331.1483969580924 -R16x9.6x6.3,1156670.7,30.064,0.0817799611556717,1754.3568015117974,339.70443436159275 -R16x9.6x6.3,1155870.7,30.053,0.0839402551646421,1774.7668713383305,354.97064995785286 -R16x9.6x6.3,1153270.7,30.108,0.0873406393600938,1786.5864876417238,363.215799971164 -R16x9.6x6.3,1153170.7,30.076,0.0899985873474949,1789.6099846228349,370.0126087660794 -R16x9.6x6.3,1152070.7,30.095,0.0951761733014393,1779.843439299667,386.0044237951509 -R16x9.6x6.3,1151770.7,30.145,0.0979710452722626,1790.276091063114,394.5747174996157 -R16x9.6x6.3,1151570.7,30.088,0.1000832145723983,1788.1902051622617,402.9192650191951 -R16x9.6x6.3,1151270.7,30.099,0.102293312342829,1788.073491038141,410.53894964901104 -R16x9.6x6.3,1151170.7,30.091,0.1046387921254172,1794.1567172789594,420.1965013324116 -R16x9.6x6.3,1150670.7,30.183,0.106901682311737,1791.694223243029,427.1931250875157 -R16x9.6x6.3,96908.3,49.927,0.0285566506694143,1716.0483265085556,22.34320584183617 -R16x9.6x6.3,96158.3,49.931,0.039905204072613,1740.9999283051077,30.736140230361663 -R16x9.6x6.3,95408.3,49.918,0.0515942761938865,1768.9322636818315,40.60351199769555 -R16x9.6x6.3,94808.3,49.932,0.0624719978066561,1782.9354990046177,51.39028528363627 -R16x9.6x6.3,94208.3,49.935,0.0736877800156744,1814.739996238628,63.448324702839656 -R16x9.6x6.3,93458.3,49.947,0.0858041368119721,1848.8286694280127,76.72538279945188 -R16x9.6x6.3,92858.3,49.916,0.0990638288199159,1902.661610496363,89.87480044497815 -R16x9.6x6.3,92258.3,49.916,0.109779354262934,1919.485425775301,103.8542801956218 -R16x9.6x6.3,91808.3,49.924,0.1202691524571007,1940.484206879536,115.27823407371044 -R16x9.6x6.3,91208.3,49.947,0.1316151388789589,1973.774648026976,130.6167256329299 -R16x9.6x6.3,90758.3,49.949,0.1416578349351753,1987.002501035033,143.59048450932127 -R16x9.6x6.3,90308.3,49.935,0.1509797786767971,2004.2356852350424,157.94738467806886 -R16x9.6x6.3,89858.3,49.947,0.1606720010564388,2022.9443514547736,173.0990560219767 -R16x9.6x6.3,89558.3,49.943,0.1684498987965305,2040.0734627667207,188.10408829097625 -R16x9.6x6.3,89108.3,49.949,0.1774517043195946,2062.017510791947,204.9354544123912 -R16x9.6x6.3,88808.3,49.947,0.1854405546544718,2079.495415572222,218.9674136729976 -R16x9.6x6.3,88358.3,49.943,0.193853262128597,2091.8779847751434,234.14838364982512 -R16x9.6x6.3,88058.3,49.947,0.2010482822642166,2097.739194342784,246.383015948294 -R16x9.6x6.3,141895.6,49.979,0.0285401245020172,1718.2141012108304,22.0527314563388 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-R16x9.6x6.3,132295.6,50.006,0.1554502884466018,2031.51370108901,182.1304391583516 -R16x9.6x6.3,131845.6,50.005,0.1631779291220317,2043.000378233695,195.29431313073204 -R16x9.6x6.3,131245.6,50.012,0.1720065159896606,2064.017517655124,210.9107117676707 -R16x9.6x6.3,130795.6,50.002,0.1785136350667193,2064.485790517794,221.6734895461157 -R16x9.6x6.3,130345.6,50.012,0.183307502849163,2058.6902524539,238.1049164108478 -R16x9.6x6.3,129895.6,50.026,0.1902126567156453,2069.0492643870816,253.63644151628804 -R16x9.6x6.3,129445.6,50.026,0.1969398970340065,2076.601804166008,268.43036340957167 -R16x9.6x6.3,128995.6,50.024,0.2039745094349292,2094.8292431854475,284.43022665682025 -R16x9.6x6.3,204022.7,50.042,0.0224676992289778,1699.254180072244,19.73233005707613 -R16x9.6x6.3,202472.7,50.065,0.0341934743019945,1742.3213039693728,27.40637287958343 -R16x9.6x6.3,201022.7,50.038,0.0464768323812101,1807.2976677601785,37.56416004904699 -R16x9.6x6.3,200222.7,50.05,0.0568595553571156,1820.550459358625,47.5183232308744 -R16x9.6x6.3,198972.7,50.072,0.0669726310530958,1823.575563778364,61.459325834428384 -R16x9.6x6.3,197672.7,50.049,0.0785401458798104,1860.7405141964048,73.34616450978447 -R16x9.6x6.3,196472.7,50.059,0.0895513394033544,1890.5799013178032,88.8595895631006 -R16x9.6x6.3,195322.7,50.064,0.099946285979182,1911.2409762703487,103.62747814016834 -R16x9.6x6.3,194422.7,50.035,0.1092939828697515,1932.3167462485903,118.78235862127826 -R16x9.6x6.3,193372.7,50.027,0.1190099313045295,1953.9957655521384,134.32952228137415 -R16x9.6x6.3,192472.7,50.049,0.1261747956705872,1937.482886384408,147.88203672829772 -R16x9.6x6.3,191572.7,50.047,0.1349543639956649,1961.1615489874832,163.7037832341313 -R16x9.6x6.3,190972.7,50.025,0.1422216215146705,1980.075359469755,175.61545099878876 -R16x9.6x6.3,190072.7,50.041,0.1503667818157318,1994.389947014581,192.75263351519607 -R16x9.6x6.3,189322.7,50.03,0.1575612299409645,2007.6339023524183,209.278339861801 -R16x9.6x6.3,188722.7,50.053,0.1646910411262007,2024.1088678231747,224.3033915540205 -R16x9.6x6.3,188272.7,50.051,0.1706346226043529,2036.0198805575576,238.9163242360464 -R16x9.6x6.3,187522.7,50.071,0.1778003869883574,2052.4530073315195,253.5650205770497 -R16x9.6x6.3,186922.7,50.073,0.1841696289316315,2067.9692412104314,268.9235829648701 -R16x9.6x6.3,186322.7,50.063,0.1900138904566493,2074.205061557588,283.75521986177523 -R16x9.6x6.3,186022.7,50.074,0.1949918202414733,2080.3261374137664,297.10568309588945 -R16x9.6x6.3,185422.7,50.072,0.2011679411084647,2090.298188933871,311.7367209068086 -R16x9.6x6.3,256360.4,50.091,0.019408070681857,1711.341892264607,19.432275648110075 -R16x9.6x6.3,254860.4,50.077,0.0307784270882247,1731.3584610097837,27.7029674745626 -R16x9.6x6.3,253010.4,50.077,0.042771882971,1787.892763485843,36.99182352074265 -R16x9.6x6.3,251860.4,50.093,0.0530916144051177,1803.6792485585445,47.27690204555957 -R16x9.6x6.3,250360.4,50.093,0.0641524494841322,1831.8332819382813,58.95168484677932 -R16x9.6x6.3,248860.4,50.087,0.0745300626704068,1849.2647411279536,72.40264074204967 -R16x9.6x6.3,247410.4,50.079,0.0849586994090946,1873.0642599799708,86.69015497402731 -R16x9.6x6.3,246110.4,50.089,0.094954297374807,1904.1004788398072,102.85255768155116 -R16x9.6x6.3,244960.4,50.098,0.1029981719036868,1895.65047318899,116.59112417327422 -R16x9.6x6.3,243810.4,50.092,0.1118634161857134,1913.420181930892,131.10886710922404 -R16x9.6x6.3,242560.4,50.072,0.1207509272479563,1933.141868739517,146.69661890162416 -R16x9.6x6.3,241560.4,50.07,0.1288179758473802,1939.7535543095423,158.16531970618965 -R16x9.6x6.3,240810.4,50.08,0.1360287767689156,1962.6380187492653,175.22642518238573 -R16x9.6x6.3,239710.4,50.082,0.1439124281467711,1990.4863948153625,193.25153181344243 -R16x9.6x6.3,238810.4,50.082,0.1504729093924603,1992.727184405073,208.68659265758265 -R16x9.6x6.3,238210.4,50.072,0.156582950577492,2003.3276467731696,223.4164540180469 -R16x9.6x6.3,237460.4,50.084,0.1628475190311173,2020.19814579737,240.54800993056205 -R16x9.6x6.3,236710.4,50.09,0.1683024124600506,2016.51844771991,254.4220658902049 -R16x9.6x6.3,236110.4,50.067,0.1739295061706731,2029.6531387831376,269.15029784405726 -R16x9.6x6.3,235360.4,50.073,0.1800241157589593,2049.586222588799,284.8644942473257 -R16x9.6x6.3,235060.4,50.079,0.1849188778631738,2055.1333016186936,297.35282052803035 -R16x9.6x6.3,234460.4,50.084,0.1903717725515246,2063.949418343157,310.4886978525436 -R16x9.6x6.3,234010.4,50.069,0.1949785890523731,2068.1726877241485,324.0897494707354 -R16x9.6x6.3,233560.4,50.075,0.2000422835042563,2074.4218802477644,336.83084035366966 -R16x9.6x6.3,304871.2,50.068,0.0206311210822811,1712.2553991396608,23.83804058572159 -R16x9.6x6.3,302771.2,50.054,0.0329372929815456,1770.9630720328244,32.23650201168693 -R16x9.6x6.3,301171.2,50.051,0.0436618417849949,1786.7922179098994,41.19373649637154 -R16x9.6x6.3,299571.2,50.082,0.0542618537395835,1808.0082268596057,51.93675923716759 -R16x9.6x6.3,297971.2,50.073,0.0643881478159274,1825.970989778908,64.24769419712747 -R16x9.6x6.3,296371.2,50.063,0.0745942908969993,1858.591375662279,78.11498941535251 -R16x9.6x6.3,294621.2,50.073,0.0835726688658169,1842.715768351357,93.06447058053206 -R16x9.6x6.3,293021.2,50.057,0.0931965840268941,1877.299038207516,109.110584268387 -R16x9.6x6.3,291771.2,50.053,0.1017692387621838,1895.107456542767,122.3979363715325 -R16x9.6x6.3,290371.2,50.051,0.1104346437168642,1909.736431373,136.0363333069597 -R16x9.6x6.3,288771.2,50.055,0.1192768546352678,1908.7231022917683,151.3163330024603 -R16x9.6x6.3,288321.2,50.053,0.1251235396066224,1937.714664044075,167.78599362395695 -R16x9.6x6.3,287221.2,50.055,0.13265509174153,1955.132079209663,183.07003054552067 -R16x9.6x6.3,286171.2,50.057,0.1390183156705314,1958.3554455575725,197.86828910427727 -R16x9.6x6.3,285421.2,50.053,0.1450734968859516,1982.4362553526337,214.3770716004896 -R16x9.6x6.3,284371.2,50.083,0.1518063483983997,1991.216536791482,228.8216467654112 -R16x9.6x6.3,283621.2,50.05,0.1576932526356781,2002.3622899927584,242.57750258946848 -R16x9.6x6.3,282871.2,50.085,0.1632572687506209,2011.431199946579,256.46724054053936 -R16x9.6x6.3,282271.2,50.071,0.1687204773589529,2024.0504543037453,271.35735674100096 -R16x9.6x6.3,281521.2,50.085,0.1744871586311651,2036.2267852789048,286.33089037808526 -R16x9.6x6.3,280771.2,50.085,0.1796501607765458,2046.719021301942,303.03381987847985 -R16x9.6x6.3,280171.2,50.073,0.1844647380694678,2052.641885954636,322.6132437969462 -R16x9.6x6.3,279571.2,50.083,0.1898366995266642,2066.580269222608,338.561159982463 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-R16x9.6x6.3,359340.8,50.082,0.1045415716069565,1907.2533573133585,142.42877174993046 -R16x9.6x6.3,357940.8,50.084,0.1116595576888902,1912.3137729979123,157.86378303937934 -R16x9.6x6.3,356840.8,50.076,0.1185929446405472,1930.970717535571,173.03246948834263 -R16x9.6x6.3,355740.8,50.088,0.1252265155743332,1941.119508378598,186.8861876533 -R16x9.6x6.3,354640.8,50.101,0.1317454873042171,1955.3309714604163,202.06321510092351 -R16x9.6x6.3,353690.8,50.074,0.1379710194488534,1962.9160916479352,214.8688250930905 -R16x9.6x6.3,352940.8,50.066,0.143491400952125,1985.67474518406,230.30825931316 -R16x9.6x6.3,352140.8,50.068,0.1491967628898176,1996.151916384712,244.66685228569497 -R16x9.6x6.3,351190.8,50.076,0.154825652261229,2008.476122383261,260.2238232040793 -R16x9.6x6.3,350290.8,50.087,0.1600157342037909,2014.6740644994504,275.46850129881426 -R16x9.6x6.3,349540.8,50.08,0.1649661989041499,2018.176642774641,295.0522543622829 -R16x9.6x6.3,348790.8,50.094,0.1699997545404964,2030.0403853559003,310.9349750593648 -R16x9.6x6.3,348490.8,50.082,0.1733132962531444,2023.046486947658,322.5193032718456 -R16x9.6x6.3,347740.8,50.092,0.1783418365978443,2040.6479199839964,340.1997170873323 -R16x9.6x6.3,347440.8,50.086,0.1819870304438845,2038.5140726765344,350.60418950998087 -R16x9.6x6.3,346990.8,50.076,0.1874692002087532,2048.283523867417,369.83473467704033 -R16x9.6x6.3,346240.8,50.101,0.1920710245034218,2058.142486643452,384.4713992932673 -R16x9.6x6.3,345940.8,50.084,0.196004156327105,2059.410890836601,396.30121004661225 -R16x9.6x6.3,419848.8000000001,50.099,0.0194078863439099,1749.52586549757,29.32208074829232 -R16x9.6x6.3,417448.8000000001,50.102,0.0305555951909897,1780.0069601140851,38.77309759980108 -R16x9.6x6.3,415048.8000000001,50.093,0.0408883816469895,1800.6738109102248,49.222455824563895 -R16x9.6x6.3,412648.8000000001,50.093,0.0511337026459449,1821.0670365152907,60.75354408503056 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-R16x9.6x6.3,396398.8000000001,50.108,0.1331225075854104,1958.586312511385,218.43574597503363 -R16x9.6x6.3,395798.8000000001,50.111,0.1381727524798505,1966.5771241695031,232.59136817921424 -R16x9.6x6.3,394248.8000000001,50.118,0.1442917275725135,1987.488455809657,248.937766354802 -R16x9.6x6.3,393648.8000000001,50.099,0.1485563575789392,1983.514978678739,261.5358814983643 -R16x9.6x6.3,392848.8000000001,50.109,0.1534698381595824,1996.169730429585,281.0558391796817 -R16x9.6x6.3,392098.8000000001,50.103,0.1583582250955543,2004.4093988103496,295.27119774317475 -R16x9.6x6.3,391498.8000000001,50.106,0.1628826961489046,2009.4214248081269,309.33919003854413 -R16x9.6x6.3,390748.8000000001,50.116,0.1674579797122336,2012.69980236246,321.86338023088655 -R16x9.6x6.3,390148.8000000001,50.101,0.1718224332660743,2023.770937857065,336.90450144507884 -R16x9.6x6.3,389698.8000000001,50.109,0.1757742542504652,2028.1657388621527,350.3888774439371 -R16x9.6x6.3,388948.8000000001,50.105,0.1814756526356689,2041.8696703056528,371.554567376901 -R16x9.6x6.3,388348.8000000001,50.105,0.1853732281759658,2045.1548522964576,386.6511603111997 -R16x9.6x6.3,449917.2,50.114,0.0205921531433848,1750.501340233778,31.169589785714983 -R16x9.6x6.3,447517.2,50.114,0.0316025575962432,1780.3431761767708,40.59221375483414 -R16x9.6x6.3,445117.2,50.12,0.0418369610316593,1808.4094240713428,51.52118464171916 -R16x9.6x6.3,443367.2,50.114,0.0512177125681872,1828.6299028183207,63.33807013805491 -R16x9.6x6.3,440967.2,50.122,0.0597239670385901,1808.409231311072,76.76607420704852 -R16x9.6x6.3,439067.2,50.108,0.0686534946288561,1832.501935085957,91.11336225488584 -R16x9.6x6.3,437167.2,50.102,0.0777387329203416,1856.447480242672,107.09507735019037 -R16x9.6x6.3,435267.2,50.096,0.0854849769950114,1864.279989362996,121.0230483206412 -R16x9.6x6.3,433717.2,50.094,0.0925508404015229,1880.674954410392,135.84292039379383 -R16x9.6x6.3,432317.2,50.081,0.0997495846680291,1893.8778320769848,149.756476753502 -R16x9.6x6.3,430717.2,50.088,0.106806104197607,1905.2959266501844,164.12761170005828 -R16x9.6x6.3,429617.2,50.094,0.1133171516805156,1924.9160979583849,178.84907343723 -R16x9.6x6.3,428217.2,50.08,0.1195945348091581,1936.677671325763,194.5269913736271 -R16x9.6x6.3,427317.2,50.098,0.1253891750396877,1949.3349057227867,207.8471545649368 -R16x9.6x6.3,426417.2,50.086,0.1306913585615876,1953.847316348584,221.49301051125133 -R16x9.6x6.3,425517.2,50.082,0.1364055117118755,1972.5580442713265,236.61852946770264 -R16x9.6x6.3,424467.2,50.094,0.1407234099754774,1960.962425551479,249.23858104144924 -R16x9.6x6.3,423417.2,50.094,0.1460908375729681,1984.0549730521293,269.45235952949827 -R16x9.6x6.3,422967.2,50.106,0.150484666038223,1988.611775045469,282.8413602575116 -R16x9.6x6.3,421767.2,50.099,0.1557422301567486,2002.629982978714,298.4366953462939 -R16x9.6x6.3,421467.2,50.086,0.159814819765934,2004.166227933219,309.4999301168276 -R16x9.6x6.3,420717.2,50.096,0.1640809275001701,2012.152741801719,324.29300057510727 -R16x9.6x6.3,419967.2,50.084,0.1686020549809198,2014.721586310309,338.4171822369256 -R16x9.6x6.3,419667.2,50.1,0.1721964672552789,2020.5592777136824,352.7104110166967 -R16x9.6x6.3,419067.2,50.104,0.1776347190691219,2031.858451450379,372.26321753354864 -R16x9.6x6.3,418467.2,50.1,0.1819806566921567,2041.3507237175,385.5163471977291 -R16x9.6x6.3,498391.2,50.089,0.0172890539155392,1742.25074183703,33.923693874212134 -R16x9.6x6.3,496591.2,50.082,0.0278336424659491,1795.270737601571,43.936987314958046 -R16x9.6x6.3,493891.2,50.076,0.0378622663308916,1813.5559716564865,54.75848933889739 -R16x9.6x6.3,491191.2,50.076,0.047514493347326,1819.8630757372987,67.02595068579247 -R16x9.6x6.3,488941.2,50.082,0.0556597517609282,1813.0323199787128,80.60055476560969 -R16x9.6x6.3,487141.2,50.089,0.0641247918470669,1830.74817424652,93.94494395742888 -R16x9.6x6.3,485041.2,50.074,0.0720795044412036,1848.140221392256,108.86283480467752 -R16x9.6x6.3,483241.2,50.086,0.0802170258993327,1854.388160338892,122.28005146885512 -R16x9.6x6.3,481441.2,50.086,0.0874063854775293,1884.8649812785184,138.89119232525195 -R16x9.6x6.3,479941.2,50.072,0.0943701602278782,1898.3927177905948,153.53946612541816 -R16x9.6x6.3,478141.2,50.074,0.1014817205336367,1907.250716116852,167.9185453595056 -R16x9.6x6.3,477241.2,50.074,0.1074353926928725,1926.115408123454,183.5493893438547 -R16x9.6x6.3,476041.2,50.07,0.1134502774355424,1934.562033132347,197.74882555070369 -R16x9.6x6.3,476041.2,50.078,0.1181703365514743,1664.1379221546672,139.71603974057217 -R16x9.6x6.3,473941.2,50.072,0.1239679528535492,1946.7533534986608,225.7857173951868 -R16x9.6x6.3,472891.2,50.082,0.1294279890982179,1952.1485920200005,238.4714744800151 -R16x9.6x6.3,471841.2,50.078,0.1344851745011527,1957.855792714188,256.62796152677043 -R16x9.6x6.3,470941.2,50.074,0.1395714962878223,1968.258932766482,270.89366395550815 -R16x9.6x6.3,470041.2,50.051,0.1446046447709696,1989.701127909853,285.38572656308764 -R16x9.6x6.3,469591.2,50.074,0.1484947814090174,1993.0451605247229,297.0433739242329 -R16x9.6x6.3,468691.2,50.08,0.1530712218100766,1997.0890299206544,310.10077930459653 -R16x9.6x6.3,468541.2,50.072,0.1568931038280485,2007.5669027396384,323.9256516218391 -R16x9.6x6.3,467641.2,50.084,0.1612473820937188,2013.6953776797875,337.1768777393371 -R16x9.6x6.3,467341.2,50.08,0.1649660800439293,2014.5839955864024,349.3776493275683 -R16x9.6x6.3,466441.2,50.084,0.1703777767049644,2022.090366844656,366.96891607179583 -R16x9.6x6.3,466441.2,50.07,0.1739720018374334,2023.034457687224,377.3476904921845 -R16x9.6x6.3,465691.2,50.082,0.1783887997253822,2037.224191590689,393.6123460071522 -R16x9.6x6.3,465541.2,50.068,0.1810583124686314,2034.13610281908,404.91785522378456 -R16x9.6x6.3,544537.6,50.067,0.0169834496455219,1769.1094114381988,40.170137184504846 -R16x9.6x6.3,541837.6,50.054,0.0277100941894234,1797.9311948673344,50.1100397524588 -R16x9.6x6.3,538237.6,50.067,0.0378929696764179,1822.75396288066,63.6081320017455 -R16x9.6x6.3,538237.6,50.059,0.0449403638014991,25603.29295151455,455.3668833851348 -R16x9.6x6.3,535537.6,50.057,0.0539095853510248,1818.3211167449404,88.98471763692454 -R16x9.6x6.3,531937.6,50.038,0.0632822146927843,1837.5178148164591,104.35508963450891 -R16x9.6x6.3,530137.6,50.053,0.0707298154216487,1857.9463995915,118.27920297611104 -R16x9.6x6.3,528337.6,50.061,0.0783111295456346,1841.0068010399496,130.0880760602509 -R16x9.6x6.3,526537.6,50.057,0.0854361921322991,1884.5348540325256,149.00800478102997 -R16x9.6x6.3,526087.6,50.049,0.0915302358724295,1908.5384888273063,160.81553937197071 -R16x9.6x6.3,524887.6,50.051,0.0976610966072168,1913.34460946248,174.22400945446253 -R16x9.6x6.3,523837.6,50.046,0.1035230374776842,1923.0838340346104,188.0756490592245 -R16x9.6x6.3,522937.6,50.059,0.1088499430746264,1933.844898198805,201.83513572921584 -R16x9.6x6.3,521587.6,50.052,0.1141851476389408,1932.7151564695848,215.74158506996216 -R16x9.6x6.3,520537.6,50.05,0.1192932542410746,1937.0795228842028,229.1299884143449 -R16x9.6x6.3,519337.6,50.058,0.1247813444969294,1955.226850305989,249.5187217631426 -R16x9.6x6.3,519037.6,50.048,0.1291210428847879,1952.6413078191165,261.4104359637556 -R16x9.6x6.3,517237.6,50.048,0.1347209305308465,1966.352367471292,276.8136493018249 -R16x9.6x6.3,516637.6,50.056,0.1390546899966214,1976.102641893607,290.91994355002896 -R16x9.6x6.3,516187.6,50.062,0.1431404592985402,1983.2314783376428,302.403923861354 -R16x9.6x6.3,515137.6,50.056,0.1476386799582675,1996.901644051058,319.2292492703347 -R16x9.6x6.3,514837.6,50.052,0.1515533040116644,1999.4970547735893,331.0695753360993 -R16x9.6x6.3,513937.6,50.048,0.1554507858835234,1995.968357459829,342.1006744466345 -R16x9.6x6.3,513937.6,50.058,0.1590170676268028,2004.6618906902083,355.25414604574365 -R16x9.6x6.3,513637.6,50.044,0.164455422346391,2019.004424289692,372.8534951910479 -R16x9.6x6.3,512737.6,50.066,0.1688159836415776,2025.032811713755,387.2865627379596 -R16x9.6x6.3,644099.2000000001,50.084,0.0165860699388519,1786.432009697076,60.03610581887014 -R16x9.6x6.3,640499.2000000001,50.086,0.0267015138433852,1822.967961895216,71.13264329319871 -R16x9.6x6.3,636899.2000000001,50.073,0.0348459484805751,1786.938127723227,84.31066283396902 -R16x9.6x6.3,635549.2000000001,50.084,0.0431617020435524,1832.277216942587,98.29838284536594 -R16x9.6x6.3,633599.2000000001,50.073,0.0508844045822442,1840.8681635913483,110.59184505649908 -R16x9.6x6.3,631649.2000000001,50.075,0.0580868937435648,1843.6224657854093,121.86556288638594 -R16x9.6x6.3,629549.2000000001,50.075,0.0649007650152176,1846.2632899216856,135.45059398112664 -R16x9.6x6.3,627749.2000000001,50.083,0.0721349144511505,1869.7014676241463,151.2056301070746 -R16x9.6x6.3,626399.2000000001,50.071,0.0784478805665273,1878.185008929351,163.18990243391195 -R16x9.6x6.3,624599.2000000001,50.081,0.0846163943256384,1864.1787772945984,173.95275463176884 -R16x9.6x6.3,623699.2000000001,50.083,0.0900673258846181,1919.321766742028,191.59250346268635 -R16x9.6x6.3,622499.2000000001,50.081,0.0946249011721657,1918.04911483886,207.41170718238536 -R16x9.6x6.3,620699.2000000001,50.085,0.1002128952087621,1925.2954066686816,221.5979206103277 -R16x9.6x6.3,619499.2000000001,50.081,0.1054234830595212,1936.5913064072088,240.50349034069464 -R16x9.6x6.3,618899.2000000001,50.085,0.1102482149391345,1943.0731255871228,252.15911835473955 -R16x9.6x6.3,617999.2000000001,50.099,0.1147604738468767,1949.003752055504,266.2124572472344 -R16x9.6x6.3,617399.2000000001,50.099,0.1190005325906195,1950.9709569792,277.6903729875903 -R16x9.6x6.3,616499.2000000001,50.101,0.1234404009162093,1955.7579870181423,289.9636524603303 -R16x9.6x6.3,616349.2000000001,50.099,0.1272597217453891,1958.634425807364,301.8493921404446 -R16x9.6x6.3,615449.2000000001,50.101,0.1315196467762414,1967.9408500698576,314.9379344313221 -R16x9.6x6.3,615149.2000000001,50.103,0.13562278393437,1972.6724503331727,326.2407773634609 -R16x9.6x6.3,614399.2000000001,50.086,0.1396089902629003,1984.062306446484,341.0169463746513 -R16x9.6x6.3,614249.2000000001,50.107,0.1432675240495916,1984.0266540556447,349.70018747498625 -R16x9.6x6.3,613499.2000000001,50.101,0.1469613431560855,2008.159416755908,368.4617778876816 -R16x9.6x6.3,613349.2000000001,50.107,0.1513932668657217,2002.3405651725727,380.85616752263456 -R16x9.6x6.3,613049.2000000001,50.103,0.1545250121038581,2002.1370775905384,392.3366412045276 -R16x9.6x6.3,694746.8,50.096,0.0154572683477348,1793.7252406279877,68.5119163837403 -R16x9.6x6.3,692046.8,50.102,0.0249009081707094,1826.773693714312,80.72858909212535 -R16x9.6x6.3,689346.8,50.085,0.0332934368898651,1840.6502424458324,93.32288453916856 -R16x9.6x6.3,687396.8,50.103,0.040409725801761,1830.9712306530184,107.26132690559623 -R16x9.6x6.3,685596.8,50.062,0.0477655956472152,1850.7090577407373,120.94959577028357 -R16x9.6x6.3,683796.8,50.05,0.0543625169085324,1848.790436458104,132.41182911192416 -R16x9.6x6.3,681546.8,50.077,0.0608563317553431,1852.2739723450943,147.54659083358447 -R16x9.6x6.3,680346.8,50.06,0.0672386560807169,1856.488800213653,161.34171447355817 -R16x9.6x6.3,677646.8,50.052,0.0741264825015534,1885.43302120539,177.36154563097472 -R16x9.6x6.3,677346.8,50.049,0.0790791019982155,1889.533442007216,190.71152889732844 -R16x9.6x6.3,675396.8,50.057,0.0848926844628279,1891.55337544448,202.7964964826245 -R16x9.6x6.3,673296.8,50.045,0.0946084099680611,1924.7172335020143,231.9240492204117 -R16x9.6x6.3,672396.8,50.03,0.0995134666355992,1931.079921632332,247.8304971041113 -R16x9.6x6.3,671496.8,50.03,0.1040820731004723,1931.9177528883768,258.3568478233892 -R16x9.6x6.3,671196.8,50.037,0.1084528638362078,1945.1161821456649,272.50162225162325 -R16x9.6x6.3,670146.8,50.028,0.1126904954665281,1945.147604511398,283.4032991995421 -R16x9.6x6.3,669096.8,50.02,0.1168042732369588,1949.2806813529464,295.7743563355479 -R16x9.6x6.3,668796.8,50.05,0.1208302792212795,1951.8934872580744,305.8852932161549 -R16x9.6x6.3,668646.8,50.028,0.1248923140252816,1966.5726055016628,318.475075794216 -R16x9.6x6.3,668496.8,50.03,0.1284893332111087,1972.575098582764,330.8222081327882 -R16x9.6x6.3,667446.8,50.024,0.1324409258766927,1968.2052581893256,339.10690225847725 -R16x9.6x6.3,666546.8,50.015,0.136317859580413,1980.7695996739303,354.182002280397 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-R16x9.6x6.3,739901.2000000001,49.958,0.1095293122364323,1949.4351465049224,307.98379883306984 -R16x9.6x6.3,739301.2000000001,49.939,0.1135395123309329,1954.883053426,320.1533463971172 -R16x9.6x6.3,739151.2000000001,49.948,0.1173145108296653,1964.9545542845888,330.82208327574267 -R16x9.6x6.3,738251.2000000001,49.941,0.1213825908376178,1971.7899693078475,342.3347401399328 -R16x9.6x6.3,738251.2000000001,49.937,0.1244517748871413,1969.981325526618,354.21087528054824 -R16x9.6x6.3,737801.2000000001,49.95,0.1279256709414952,1974.345134018721,364.26035667157095 -R16x9.6x6.3,737651.2000000001,49.944,0.1311529033235652,1974.3138297847263,374.6154873234709 -R16x9.6x6.3,851800.2000000001,49.948,0.0120269582296922,1777.8281700995178,102.77115382982602 -R16x9.6x6.3,847300.2000000001,49.946,0.0202360368620535,1836.7165839587208,117.01964697541425 -R16x9.6x6.3,843700.2000000001,49.944,0.0274773202437147,1853.3634051487768,131.1241920624544 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-R16x9.6x6.3,826600.2000000001,49.931,0.0848791994933365,1907.8631490087969,274.9210125239513 -R16x9.6x6.3,826300.2000000001,49.943,0.0887892544489376,1917.536450438224,286.2700000251588 -R16x9.6x6.3,825850.2000000001,49.925,0.0926254161087497,1936.2720999280368,299.4192577306783 -R16x9.6x6.3,824050.2000000001,49.939,0.0967735283802901,1908.0663624300496,305.5060501665681 -R16x9.6x6.3,824050.2000000001,49.941,0.1008604039263791,1959.183256846655,323.20012054886325 -R16x9.6x6.3,823900.2000000001,49.949,0.1040346044066332,1954.7968275238152,334.5648327663848 -R16x9.6x6.3,823750.2000000001,49.949,0.1077739114819415,1964.7323984787167,344.30416174297835 -R16x9.6x6.3,823750.2000000001,49.939,0.1107765208788531,1963.9141453876136,356.9394358618408 -R16x9.6x6.3,823450.2000000001,49.947,0.1137925366618537,1955.862500111312,364.6500923487241 -R16x9.6x6.3,823450.2000000001,49.951,0.1169008088134175,1964.7780755529905,376.515154421887 -R16x9.6x6.3,823150.2000000001,49.939,0.1199932115209318,1965.7714781946927,388.1097687823122 -R16x9.6x6.3,930587.9,49.92,0.0093739802862063,1807.62200295954,122.6618304101134 -R16x9.6x6.3,930587.9,49.931,0.0159714116520186,1828.5643676854784,135.31430440253553 -R16x9.6x6.3,926987.9,49.919,0.0230999268954777,1843.9550013391208,150.1542505460163 -R16x9.6x6.3,925037.9,49.923,0.0287000854980172,1842.6922031443776,163.37167116004073 -R16x9.6x6.3,923237.9,49.923,0.0345027861578783,1861.6549802198613,177.03327962612116 -R16x9.6x6.3,919337.9,49.939,0.0402095205610599,1870.5762948581623,191.86659990224803 -R16x9.6x6.3,919337.9,49.929,0.0448236173407466,1863.4060819708684,203.4083872453723 -R16x9.6x6.3,917237.9,49.914,0.0504248353480766,1871.8453472051333,217.69033292762512 -R16x9.6x6.3,915287.9,49.933,0.0554095674604737,1887.033776121537,230.91307715383164 -R16x9.6x6.3,914837.9,49.943,0.0597889346532386,1888.8855067836107,242.020879192711 -R16x9.6x6.3,913787.9,49.945,0.0644206838317801,1899.638290725957,258.7195342935425 -R16x9.6x6.3,911687.9,49.937,0.0684433992081601,1895.6642969177728,271.76455413703627 -R16x9.6x6.3,909887.9,49.949,0.0727953186907968,1898.1732778499493,282.31312089643376 -R16x9.6x6.3,909887.9,49.956,0.0765982705903476,1909.527313072752,292.68463990567824 -R16x9.6x6.3,908087.9,49.966,0.0807891987672938,1931.573782509398,308.9883751655992 -R16x9.6x6.3,908087.9,49.96,0.0844416850887679,1923.3041289817909,315.480656106598 -R16x9.6x6.3,908087.9,49.972,0.0877663121676963,1917.387812636963,325.3660053046156 -R16x9.6x6.3,906287.9,49.974,0.0920664073652657,1934.7744850729391,335.60084222575546 -R16x9.6x6.3,906287.9,49.978,0.0952799710624599,1949.8205294927511,348.23415674154813 -R16x9.6x6.3,906287.9,49.972,0.0985417999259384,1963.376643862384,362.8584373608 -R16x9.6x6.3,906287.9,49.984,0.1015920718532045,1957.1484260822133,368.3830240224857 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-R16x9.6x6.3,395230.2,70.003,0.1063222320947508,1968.6926538306743,229.73335856848945 -R16x9.6x6.3,393880.2,70.266,0.111413723315902,1985.8203388501704,250.0062070479888 -R16x9.6x6.3,392530.2,70.079,0.116182066015667,1992.612130722984,267.95904607612124 -R16x9.6x6.3,391330.2,70.192,0.1209283659228752,2013.4782627233192,288.7731049973042 -R16x9.6x6.3,390130.2,70.013,0.1254360020025618,2035.5452844561205,310.18086583148875 -R16x9.6x6.3,388930.2,69.93,0.1300208833528081,2044.9306105469257,334.42155470492963 -R16x9.6x6.3,388030.2,69.957,0.1338093220142712,2044.7547794223367,352.9788669986506 -R16x9.6x6.3,388030.2,69.996,0.1380930717179546,2051.113648212072,367.13710614804376 -R16x9.6x6.3,386830.2,70.012,0.1437820464993023,2068.500657867052,376.7140093195861 -R16x9.6x6.3,386380.2,70.036,0.1469658471183563,2073.7968526023783,393.8160503826622 -R16x9.6x6.3,386230.2,70.018,0.1498536580672905,2075.503004443829,410.18357828885104 -R16x9.6x6.3,385030.2,70.025,0.1537121851985859,2092.863545740308,430.4034643755197 -R16x9.6x6.3,384430.2,70.035,0.1567579482803024,2094.6720215653954,448.5051662649113 -R16x9.6x6.3,384130.2,70.041,0.1608824282063549,2099.8569737758417,473.391574076566 -R16x9.6x6.3,383680.2,70.027,0.1639112231107591,2098.286130430634,488.4884922606556 -R16x9.6x6.3,383380.2,70.051,0.1667854443082713,2101.871839067176,506.0140428710697 -R16x9.6x6.3,382780.2,70.051,0.1699562321931084,2108.2233088360963,526.3592022298535 -R16x9.6x6.3,382780.2,70.061,0.1729784854940353,2110.1172827076075,538.2434357090959 -R16x9.6x6.3,382780.2,70.051,0.175830271159864,2116.8191894914685,551.9474267865708 -R16x9.6x6.3,382780.2,70.062,0.1777144188597549,2098.4191114173377,563.7135677989745 -R16x9.6x6.3,382780.2,70.06,0.1807697728674736,2108.3445668228846,580.8705974973335 -R16x9.6x6.3,449896.3000000001,70.081,0.0177185050315707,1752.1794580232297,36.5276327165176 -R16x9.6x6.3,446696.3000000001,70.091,0.0285852998651618,1793.0033904292695,49.47879358754557 -R16x9.6x6.3,443496.3000000001,70.088,0.0385768085727656,1825.271670593451,64.53584831528238 -R16x9.6x6.3,441096.3000000001,70.082,0.0478069823752426,1844.1947462558176,80.47366043994158 -R16x9.6x6.3,438546.3000000001,70.093,0.0557386011824632,1829.3969792655248,97.72737830885248 -R16x9.6x6.3,436246.3000000001,70.096,0.0641606971481465,1860.1857399844205,116.54048753601288 -R16x9.6x6.3,434246.3000000001,70.091,0.0718533070641527,1882.9415609183484,135.0693614753349 -R16x9.6x6.3,432246.3000000001,70.098,0.079836602269555,1904.269373112426,152.59404083168954 -R16x9.6x6.3,430346.3000000001,70.09,0.0862799688652306,1908.015300977816,170.0839340099755 -R16x9.6x6.3,428196.3000000001,70.1,0.092638805855798,1937.883886859162,189.5408692481269 -R16x9.6x6.3,427096.3000000001,70.093,0.098454020403873,1959.4825692821,208.2043042288671 -R16x9.6x6.3,425046.3000000001,70.099,0.1043626476531264,1962.015717726862,225.62132482243013 -R16x9.6x6.3,423896.3000000001,70.083,0.1095317790008666,1979.788238387706,243.27258733284432 -R16x9.6x6.3,422496.3000000001,70.097,0.1150549970295675,1997.5248697875995,262.2030688788502 -R16x9.6x6.3,421496.3000000001,70.092,0.1194236639518225,2010.6251641984472,282.12127020480057 -R16x9.6x6.3,420396.3000000001,70.094,0.1238740174987757,2014.405247252168,298.88461227367543 -R16x9.6x6.3,419146.3000000001,70.102,0.1285069058929813,2031.837407778533,326.0907861838537 -R16x9.6x6.3,418096.3000000001,70.106,0.1326248847079323,2039.190498850465,343.681879935281 -R16x9.6x6.3,417546.3000000001,70.097,0.1365057915784247,2048.420437643212,362.9184189367132 -R16x9.6x6.3,416946.3000000001,70.101,0.1397313636586406,2056.633827011557,381.5791285529278 -R16x9.6x6.3,416096.3000000001,70.099,0.1439617220567549,2069.053532772839,399.56870784935774 -R16x9.6x6.3,415646.3000000001,70.107,0.1462523799313507,2059.63335335238,416.7494298361582 -R16x9.6x6.3,414896.3000000001,70.113,0.1497082771872664,2065.877400025918,434.9372766372757 -R16x9.6x6.3,414346.3000000001,70.1,0.1529058758346116,2076.806937338764,452.1371312358921 -R16x9.6x6.3,413896.3000000001,70.096,0.1564004716910382,2071.956148832511,476.240541503501 -R16x9.6x6.3,413596.3000000001,70.106,0.1601501526605603,2085.9052132325296,493.6452127897219 -R16x9.6x6.3,498769.8000000001,70.136,0.0163112259532298,1771.1905627200113,41.75816667227016 -R16x9.6x6.3,495169.8000000001,70.132,0.0268538647395915,1790.943155786725,55.23023845367084 -R16x9.6x6.3,491569.8000000001,70.132,0.0367024649118803,1827.5435642785403,70.45403726953053 -R16x9.6x6.3,488569.8000000001,70.135,0.0459789247200341,1849.273802977092,86.04209602289149 -R16x9.6x6.3,486469.8000000001,70.123,0.0532689720374784,1841.0062025131856,103.3682043825515 -R16x9.6x6.3,483919.8000000001,70.131,0.0613536541430882,1860.33408374542,120.6613239319592 -R16x9.6x6.3,482119.8000000001,70.131,0.0685401441674681,1877.6346258463736,136.68551654500337 -R16x9.6x6.3,479569.8000000001,70.14,0.0761234289140737,1893.7018827359293,158.5012611301969 -R16x9.6x6.3,477619.8000000001,70.134,0.0826576373259551,1906.8121107774105,176.44073980057166 -R16x9.6x6.3,476119.8000000001,70.135,0.0882442715806507,1914.738546637729,195.10401620124824 -R16x9.6x6.3,472819.8000000001,70.135,0.0996119510423668,1964.151389717213,234.21807535327065 -R16x9.6x6.3,471469.8000000001,70.125,0.1049406693123366,1978.2017958283068,250.42551817535025 -R16x9.6x6.3,470269.8000000001,70.123,0.1093862466694579,1988.182769441284,269.4166145584544 -R16x9.6x6.3,469069.8000000001,70.121,0.1155132043767669,2023.6371971077529,284.9005129040044 -R16x9.6x6.3,467569.8000000001,70.126,0.1187983322778961,2011.4933164002505,309.020068447249 -R16x9.6x6.3,466819.8000000001,70.128,0.1228306891178448,2024.030143298188,326.13419386113105 -R16x9.6x6.3,466219.8000000001,70.14,0.1265232902668773,2029.381758786005,343.7806300639939 -R16x9.6x6.3,464719.8000000001,70.133,0.1302975268961295,2029.3041020012768,359.74370455804905 -R16x9.6x6.3,463969.8000000001,70.15,0.1337003873657065,2031.109897329232,375.8892429461764 -R16x9.6x6.3,463819.8000000001,70.137,0.1366909567272727,2037.4341417733656,394.63183393260937 -R16x9.6x6.3,462919.8000000001,70.147,0.1401318733088103,2042.064517064823,411.01986274987337 -R16x9.6x6.3,462769.8000000001,70.155,0.1430484269336008,2047.455795326384,428.41300098319147 -R16x9.6x6.3,462319.8000000001,70.149,0.1464702825211739,2056.7851211575376,445.6148405172468 -R16x9.6x6.3,461569.8000000001,70.163,0.150687894693536,2075.3412623705462,473.4112617155467 -R16x9.6x6.3,461269.8000000001,70.161,0.1536670512222261,2078.9200710648474,492.7216081486835 -R16x9.6x6.3,461269.8000000001,70.165,0.1565898646531771,2084.514914947079,505.39318927668586 -R16x9.6x6.3,545630.4,70.168,0.0161610955060877,1764.324654060819,47.041001938305314 -R16x9.6x6.3,541430.4,70.165,0.026599839595739,1805.362277096636,61.56560730157386 -R16x9.6x6.3,537830.4,70.159,0.0360425452682825,1838.2643028761336,78.24581126257434 -R16x9.6x6.3,535280.4,70.159,0.0444917437138229,1852.9202412571583,94.93392784122187 -R16x9.6x6.3,532730.4,70.149,0.0519385772497642,1852.062276721581,112.77323402169934 -R16x9.6x6.3,530330.4,70.13,0.0594782840287245,1864.5483152424856,130.121595866473 -R16x9.6x6.3,528380.4,70.148,0.0661036929736043,1874.90780283526,146.05019802083237 -R16x9.6x6.3,526280.4,70.16,0.073271033166724,1894.037959880549,164.8108525247491 -R16x9.6x6.3,524930.4,70.166,0.0786411190257691,1895.8318608559985,182.0963237986556 -R16x9.6x6.3,522380.4,70.178,0.0851409273528084,1915.423495542516,202.07754137717785 -R16x9.6x6.3,521180.4,70.177,0.0905106527534478,1950.4809934285945,221.83271477044013 -R16x9.6x6.3,519380.4,70.167,0.0960341283193963,1967.1905418180304,240.3516789561733 -R16x9.6x6.3,517880.4,70.181,0.1008875734195599,1972.452440422776,258.2671186870418 -R16x9.6x6.3,516530.4,70.175,0.1056769899217618,1988.75805768556,277.17845209097777 -R16x9.6x6.3,515480.4,70.175,0.1100082458541658,1994.398332234353,299.3832866106858 -R16x9.6x6.3,514130.4,70.172,0.1145956869866887,2002.8315424932173,315.02215177056047 -R16x9.6x6.3,513530.4,70.182,0.1174567603340259,2001.6468797330635,335.72926125898334 -R16x9.6x6.3,512480.4,70.182,0.1214681025083602,2007.6202002426835,349.3653017706195 -R16x9.6x6.3,511430.4,70.182,0.1249760404861682,2016.0316966606392,368.3586679423896 -R16x9.6x6.3,510830.4,70.172,0.1284963109343606,2022.0098406562613,383.8226916066779 -R16x9.6x6.3,510230.4,70.19,0.1317091094694469,2026.835201832585,401.9243161202364 -R16x9.6x6.3,510080.4,70.18,0.1345086184624701,2026.7280967084373,416.7544306794565 -R16x9.6x6.3,509630.4,70.202,0.1379002161858669,2034.1309043562164,432.1547805904067 -R16x9.6x6.3,509180.4,70.204,0.1409342678997492,2045.911610706111,450.60243627328975 -R16x9.6x6.3,509180.4,70.198,0.1447829779146961,2042.801337661388,469.81365404537326 -R16x9.6x6.3,508880.4,70.209,0.14712472622131,2039.611376941189,486.94700725292125 -R16x9.6x6.3,508580.4,70.21,0.1498438861084157,2048.639058588017,505.96563560751736 -R16x9.6x6.3,508430.4,70.211,0.1525382670134496,2055.677088641522,519.6644008592236 -R16x9.6x6.3,508430.4,70.215,0.1549425799135991,2055.396257685409,533.1993882454866 -R16x9.6x6.3,641951.8,70.179,0.0157306715995621,1782.261227718282,64.99074955773152 -R16x9.6x6.3,638351.8,70.206,0.0253454912339229,1842.1996501391284,82.81929213551678 -R16x9.6x6.3,635201.8,70.197,0.0337274035417051,1862.527477970208,100.29264235081683 -R16x9.6x6.3,632801.8,70.116,0.0406513957613433,1851.35325541755,118.18116279820292 -R16x9.6x6.3,630251.8,70.154,0.0480541727578299,1867.1808805967828,135.07170911762026 -R16x9.6x6.3,627551.8,70.129,0.0550096729548214,1882.0352351339343,150.49689464481125 -R16x9.6x6.3,626201.8,70.126,0.0605973543495209,1882.9782734102648,167.10025658921757 -R16x9.6x6.3,624551.8,70.124,0.0666562761434944,1890.011665538167,185.9868287342356 -R16x9.6x6.3,623051.8,70.114,0.0721509578112325,1905.6261449741075,203.9932091660372 -R16x9.6x6.3,621101.8,70.122,0.0775920655877195,1919.755757645016,222.19438525722447 -R16x9.6x6.3,619601.8,70.128,0.0826752630401452,1930.9990343954555,238.74148289303668 -R16x9.6x6.3,619601.8,70.124,0.0868255226633924,1222.8190016898664,101.51201093627375 -R16x9.6x6.3,617051.8,70.113,0.0918749213291786,1969.3538378147032,280.4658676437066 -R16x9.6x6.3,615401.8,70.109,0.0964145198692196,1973.7597984972904,297.4304095144 -R16x9.6x6.3,614801.8,70.119,0.0997585638473888,1976.407744545532,315.3018223607197 -R16x9.6x6.3,614051.8,70.125,0.1032789916148082,1981.5377324190304,331.1858293678802 -R16x9.6x6.3,613301.8,70.111,0.1071418247679278,1990.0413987698587,346.9840773065817 -R16x9.6x6.3,612551.8,70.106,0.110924095192755,2003.8550191049253,362.94377549721 -R16x9.6x6.3,611501.8,70.116,0.1141994329357678,2001.6337617028328,378.1902844461446 -R16x9.6x6.3,610751.8,70.118,0.1175140819155064,2007.426240627545,395.0313318789967 -R16x9.6x6.3,610751.8,70.116,0.1203440729577978,2006.4801046446173,408.5797781609278 -R16x9.6x6.3,610601.8,70.128,0.1231281494776964,2012.8888726601808,424.7264743323595 -R16x9.6x6.3,610151.8,70.102,0.1260747305389084,2013.9958960726,439.85776229950034 -R16x9.6x6.3,609401.8,70.116,0.1285999819695293,2009.4540229869503,454.1891835913822 -R16x9.6x6.3,609401.8,70.109,0.1323357875350434,2013.882299767982,475.3314774114206 -R16x9.6x6.3,609251.8,70.109,0.1350394608734315,2013.4717449803104,490.0899846868471 -R16x9.6x6.3,609251.8,70.101,0.1376649317169332,2015.9026153398213,503.5001466095651 -R16x9.6x6.3,609251.8,70.103,0.1400252505491872,2021.576019155476,515.1653023806648 -R16x9.6x6.3,609251.8,70.117,0.1422008253899862,2013.1490735997727,535.4228306024847 -R16x9.6x6.3,609251.8,70.125,0.1446904561774375,2018.978609516108,550.6986889416147 -R16x9.6x6.3,609251.8,70.127,0.1464098720793188,2014.693684964683,557.3018070599771 -R16x9.6x6.3,609251.8,70.141,0.1477895363184237,2009.7785753733333,576.4306657040964 -R16x9.6x6.3,609251.8,70.131,0.1500595981586116,2018.373720623151,591.0288355249216 -R16x9.6x6.3,697281.6,70.127,0.0144559886008081,1789.418863446793,79.22936845876262 -R16x9.6x6.3,692481.6,70.149,0.0234671491801939,1801.9568915242608,94.30678860285856 -R16x9.6x6.3,688881.6,70.144,0.0316598022981728,1847.2415835992683,111.24544545416302 -R16x9.6x6.3,685581.6,70.146,0.0386197831483806,1842.37407397962,127.80642826121849 -R16x9.6x6.3,683031.6,70.172,0.0454947090734657,1853.6843395969447,141.80354094532208 -R16x9.6x6.3,681231.6,70.143,0.0513881409436476,1863.9003740111943,160.56757856157094 -R16x9.6x6.3,678531.6,70.161,0.0575508763081348,1876.489724916299,178.0470018639242 -R16x9.6x6.3,676281.6,70.169,0.0634721175971992,1882.8997342643177,197.7207190636786 -R16x9.6x6.3,674781.6,70.157,0.0683496668898773,1888.0111561324943,214.67351661366573 -R16x9.6x6.3,672981.6,70.161,0.0735851049966729,1912.504150324988,231.9160491659716 -R16x9.6x6.3,671631.6,70.157,0.0783008735186759,1928.3671089773609,250.1022658340733 -R16x9.6x6.3,670281.6,70.16,0.0827565009922608,1936.7471579283888,266.226557374135 -R16x9.6x6.3,668781.6,70.162,0.0870925357160645,1942.0609375598783,286.9678106784655 -R16x9.6x6.3,668181.6,70.18,0.0904428581547513,1932.8734576932968,300.45994817718577 -R16x9.6x6.3,666681.6,70.194,0.0944422588900243,1959.762856101172,318.29876545218013 -R16x9.6x6.3,665181.6,70.19,0.0985514553546053,1969.593135278872,334.3989471523733 -R16x9.6x6.3,665181.6,70.192,0.1017714712410148,1978.8962985479943,351.59131953894007 -R16x9.6x6.3,663831.6,70.179,0.1052583573210642,1979.322945116108,366.7966625412171 -R16x9.6x6.3,663831.6,70.187,0.1084799268519394,1991.6601313159329,383.2256157169552 -R16x9.6x6.3,663831.6,70.179,0.111160233948971,1985.143865201081,395.7270619934573 -R16x9.6x6.3,662481.6,70.199,0.1148890104811997,2004.3225883896048,414.42847991085694 -R16x9.6x6.3,662331.6,70.199,0.1172195187449759,1998.1732234138424,430.2584438516971 -R16x9.6x6.3,662331.6,70.215,0.1201801251717562,1998.7620316416485,440.2033582087056 -R16x9.6x6.3,661581.6,70.213,0.1230111386119917,2003.7267934385904,457.3327503235309 -R16x9.6x6.3,661581.6,70.217,0.1270804825714521,2013.2445496844432,478.6536014830685 -R16x9.6x6.3,661281.6,70.227,0.1292445711106051,2001.9782019900804,492.2902169617243 -R16x9.6x6.3,661281.6,70.223,0.1318005688876864,2009.588019533271,507.525200358026 -R16x9.6x6.3,661281.6,70.217,0.1341147780606001,2004.712640852008,521.3246023896127 -R16x9.6x6.3,661281.6,70.221,0.1364924590687881,2008.5157376795005,535.2417206952196 -R16x9.6x6.3,661281.6,70.215,0.1386068994815611,2010.595526848562,541.2032417307677 -R16x9.6x6.3,767601.2000000001,70.02,0.0133944218738692,1790.030042178652,98.04961689191862 -R16x9.6x6.3,763101.2000000001,70.036,0.0219386702993898,1840.695620085229,114.58195276208352 -R16x9.6x6.3,757701.2000000001,70.062,0.0299147812962047,1870.51838617228,133.2083664901661 -R16x9.6x6.3,756801.2000000001,70.042,0.0356102390916777,1848.3261930295755,149.01457366584987 -R16x9.6x6.3,754101.2000000001,70.06,0.0421040713806843,1865.669562621608,162.97843247705697 -R16x9.6x6.3,751251.2000000001,70.062,0.0469962651312111,1825.4918021666567,177.91500689644363 -R16x9.6x6.3,749451.2000000001,70.056,0.053342926095135,1872.6453619015304,194.28365076761065 -R16x9.6x6.3,746751.2000000001,70.041,0.0594318602037126,1883.180955741353,212.7498982109394 -R16x9.6x6.3,746751.2000000001,70.058,0.0638640041477202,1893.90558091042,226.54779649375644 -R16x9.6x6.3,744801.2000000001,70.057,0.0687164051757107,1902.8038367615727,242.81205697502887 -R16x9.6x6.3,744801.2000000001,70.049,0.0728122148518925,1902.4851903096828,254.99483440284465 -R16x9.6x6.3,741501.2000000001,70.006,0.0777025479042298,1925.8078083922824,281.5490956158641 -R16x9.6x6.3,741201.2000000001,69.988,0.0809154630407104,1919.8696427518305,295.93325791756945 -R16x9.6x6.3,740151.2000000001,70.026,0.0849412472719509,1928.77273765806,311.1547784931032 -R16x9.6x6.3,738351.2000000001,70.056,0.0887952674910671,1933.322878973896,327.29332523728243 -R16x9.6x6.3,736551.2000000001,70.06,0.0925819884939332,1964.280469305128,349.18079415839014 -R16x9.6x6.3,736551.2000000001,70.072,0.0958623326640762,1967.9127934909343,362.4599318080511 -R16x9.6x6.3,736551.2000000001,70.049,0.0986859570697321,1969.726050521342,377.444033056314 -R16x9.6x6.3,734451.2000000001,70.054,0.1022579140663331,1971.2664475856056,393.19706606170354 -R16x9.6x6.3,734451.2000000001,70.055,0.1052437955334345,1976.8897914177487,407.79196039712633 -R16x9.6x6.3,734451.2000000001,70.065,0.1078204097954029,1978.095803857168,422.625264453806 -R16x9.6x6.3,733551.2000000001,70.079,0.1105563925508393,1986.5296637777867,439.89685724249176 -R16x9.6x6.3,733551.2000000001,70.077,0.1134719811495237,1992.2759487623268,452.8145185283331 -R16x9.6x6.3,733551.2000000001,70.084,0.1161929154168117,2000.6522714811456,470.1246930863361 -R16x9.6x6.3,733551.2000000001,70.077,0.1194120057853691,1991.8954217263504,486.7704064681908 -R16x9.6x6.3,732651.2000000001,70.063,0.1221487255037931,1995.3930181534547,502.29655841083314 -R16x9.6x6.3,732651.2000000001,70.063,0.1239363565417757,1986.9134995730697,514.199679637182 -R16x9.6x6.3,732651.2000000001,70.065,0.1256857880019884,1982.3363615413896,519.646765302218 -R16x9.6x6.3,732651.2000000001,70.063,0.128096351461846,1988.8217796770944,535.7224026604657 -R16x9.6x6.3,847000.2000000001,70.063,0.0134607225705871,1810.5010148055044,130.24175783964722 -R16x9.6x6.3,841300.2000000001,70.085,0.0210098632882692,1832.0478174766777,143.57459201343354 -R16x9.6x6.3,837700.2000000001,70.064,0.0279587703804244,1882.335242363591,163.6988791231948 -R16x9.6x6.3,835900.2000000001,70.056,0.0333742309030727,1874.6959171919032,178.9586715768369 -R16x9.6x6.3,832150.2000000001,70.054,0.0392330480780343,1886.9194000752263,196.32379995506685 -R16x9.6x6.3,831250.2000000001,70.074,0.0442110093660992,1893.9893073120584,212.1381478838329 -R16x9.6x6.3,830050.2000000001,70.07,0.0487930480273312,1887.2573964313128,228.1243008841994 -R16x9.6x6.3,827650.2000000001,70.07,0.0543188783891818,1902.9331965728563,244.33004290084884 -R16x9.6x6.3,827500.2000000001,70.064,0.0585469446554896,1912.4194443877889,259.3694804343341 -R16x9.6x6.3,825700.2000000001,70.065,0.0627450570371582,1907.8419547245967,273.95295060762203 -R16x9.6x6.3,824350.2000000001,70.085,0.067403101335184,1932.0056481425624,294.56969388142136 -R16x9.6x6.3,823300.2000000001,70.059,0.0708609655674415,1930.28773712898,312.5194113718298 -R16x9.6x6.3,823300.2000000001,70.055,0.0737618990292992,1918.7200990661336,323.6806868455601 -R16x9.6x6.3,822250.2000000001,70.059,0.0775548790304572,1936.51888056226,342.2541656267388 -R16x9.6x6.3,821350.2000000001,70.089,0.0811422913497018,1945.3092107706748,357.20115472374835 -R16x9.6x6.3,821350.2000000001,70.063,0.0842521884203291,1950.5766993831933,371.3620215169077 -R16x9.6x6.3,820150.2000000001,70.082,0.0876838110075408,1946.5518642124528,384.47895870604185 -R16x9.6x6.3,819700.2000000001,70.082,0.0903899063553801,1943.8744237985,399.896783609788 -R16x9.6x6.3,819100.2000000001,70.095,0.0936017098131741,1976.8439629370296,419.33579992263697 -R16x9.6x6.3,819100.2000000001,70.094,0.0963861809086647,1975.9951184937984,428.5554961210211 -R16x9.6x6.3,818800.2000000001,70.092,0.0990438548148774,1979.5737979700964,444.6350850556238 -R16x9.6x6.3,818800.2000000001,70.076,0.1013100342652361,1975.8234156195888,458.8914753011979 -R16x9.6x6.3,818800.2000000001,70.088,0.1044720555421719,1986.249317914704,470.8888590615885 -R16x9.6x6.3,818800.2000000001,70.08,0.1065394283658185,1974.50162166984,482.77183881400646 -R16x9.6x6.3,818800.2000000001,70.08,0.1098995140330057,1974.992267797178,503.36427707788 -R16x9.6x6.3,818800.2000000001,70.092,0.1126638656841279,1984.451218209501,506.3234622513793 -R16x9.6x6.3,818800.2000000001,70.098,0.1144262356947803,1977.2637459966,522.3169142687291 -R16x9.6x6.3,818800.2000000001,70.088,0.1164101304050838,1975.2537732830203,537.6889008602257 -R16x9.6x6.3,931210.1,70.067,0.0109417844469669,1815.0684386729715,153.5287517054491 -R16x9.6x6.3,924460.1,70.06,0.0180408721404909,1861.36605650635,169.63371327458822 -R16x9.6x6.3,922660.1,70.056,0.023737995686318,1883.3606600300511,188.4985493626615 -R16x9.6x6.3,917860.1,70.038,0.0289143640032647,1861.9495462688387,204.3650335313071 -R16x9.6x6.3,915910.1,70.07,0.0341826852436629,1889.060588678727,220.8053076415856 -R16x9.6x6.3,913960.1,70.059,0.0388375955269619,1890.634203625004,236.5413288303252 -R16x9.6x6.3,912160.1,70.063,0.0435341607244363,1903.09020429958,253.0139713608144 -R16x9.6x6.3,909460.1,70.053,0.0483912093246252,1903.400749514002,269.2756836088959 -R16x9.6x6.3,909460.1,70.073,0.0521130621710188,1903.043212639676,283.6893796645958 -R16x9.6x6.3,909460.1,70.053,0.056078156676903,1918.290128475047,304.6665296815417 -R16x9.6x6.3,907660.1,70.061,0.059949569993012,1920.27949498418,319.5694656452216 -R16x9.6x6.3,906760.1,70.066,0.0634963620122156,1921.7076715930216,333.8376434024409 -R16x9.6x6.3,906760.1,70.063,0.0663498625584732,1915.630132343461,347.041701569335 -R16x9.6x6.3,905710.1,70.063,0.069799702366599,1922.7901217714773,361.7595634597208 -R16x9.6x6.3,904810.1,70.065,0.0732388418872464,1927.462148999468,374.1865425863045 -R16x9.6x6.3,903010.1,70.059,0.076675623805511,1935.524630724064,389.7007611380033 -R16x9.6x6.3,903010.1,70.065,0.0794987615022229,1940.7964649947264,405.25789044991785 -R16x9.6x6.3,903010.1,70.065,0.0824065463036669,1944.56441475045,417.6150494316078 -R16x9.6x6.3,903010.1,70.063,0.0850366552061941,1946.686202190694,430.91652207034514 -R16x9.6x6.3,903010.1,70.065,0.0878698796754506,1952.0408300026256,443.2246859178136 -R16x9.6x6.3,903010.1,70.061,0.0900366104257449,1944.7334220688604,456.6459483605475 -R16x9.6x6.3,902860.1,70.068,0.0926320475230308,1946.96707979008,469.0346895956667 -R16x9.6x6.3,901060.1,70.082,0.0956837700990355,1971.5981895826344,486.9755278074137 -R16x9.6x6.3,901060.1,70.099,0.0979530316098208,1965.920142463623,497.5125172053176 -R16x9.6x6.3,901060.1,70.086,0.1015900620359085,1975.325939527302,507.4185056480108 -R16x9.6x6.3,901060.1,70.083,0.1028108122705192,1957.129281144954,522.8650125661729 -R16x9.6x6.3,901060.1,70.081,0.1055055571129505,1965.4624002048413,535.4852685354648 -R16x9.6x6.3,901060.1,70.088,0.1071889295445387,1955.2675909828808,547.8205027270506 -R16x9.6x6.3,1036707.0,70.061,0.0105404574820814,1831.1648895357275,203.4371752789719 -R16x9.6x6.3,1032207.0,70.076,0.016392165476664,1870.138584023815,220.84220670534947 -R16x9.6x6.3,1028607.0,70.069,0.0214935863980917,1886.7141109876245,231.043150075568 -R16x9.6x6.3,1025907.0,70.053,0.0257881706876938,1876.131939315609,248.88529970447232 -R16x9.6x6.3,1022157.0,70.095,0.0304773251818645,1891.3547901535544,263.1289408917986 -R16x9.6x6.3,1019907.0,70.065,0.0346766552136287,1897.3445598793205,278.8621342457775 -R16x9.6x6.3,1019907.0,70.069,0.038313016198917,1900.696974096517,293.5425618045557 -R16x9.6x6.3,1017807.0,70.058,0.042503334976067,1904.0615209983605,310.22971211583786 -R16x9.6x6.3,1015857.0,70.044,0.046350794081862,1911.234030137029,331.87587907152835 -R16x9.6x6.3,1015107.0,70.048,0.049969726273155,1919.301680835298,344.41989336609925 -R16x9.6x6.3,1015107.0,70.046,0.053365671021902,1932.3488356961293,360.6410950083888 -R16x9.6x6.3,1014957.0,70.038,0.0563702230637883,1926.8457915795627,370.595305163885 -R16x9.6x6.3,1013457.0,70.062,0.0595510986039753,1928.495489839052,384.88057943068014 -R16x9.6x6.3,1012407.0,70.066,0.0623608161883447,1924.3799794193608,398.378766773044 -R16x9.6x6.3,1012407.0,70.056,0.0651610579024747,1923.605898560134,411.0659588790373 -R16x9.6x6.3,1012407.0,70.076,0.0679785106203915,1926.2305456965685,425.1574590703227 -R16x9.6x6.3,1012407.0,70.056,0.0705914677383477,1924.8969731990533,436.4380619405303 -R16x9.6x6.3,1012407.0,70.064,0.07303353820546,1927.650853047604,449.13564996152905 -R16x9.6x6.3,1012257.0,70.08,0.0759962229344573,1943.3195443890952,462.7849294731903 -R16x9.6x6.3,1012257.0,70.042,0.078294958198322,1937.9965991029665,473.9232478912201 -R16x9.6x6.3,1012257.0,70.084,0.080605731550406,1934.605235829128,484.363776183488 -R16x9.6x6.3,1012257.0,70.076,0.0834302743961078,1950.939831805309,498.3538322970783 -R16x9.6x6.3,1012257.0,70.078,0.0852678004050698,1934.380778176728,509.1349649988541 -R16x9.6x6.3,1012257.0,70.087,0.0875581986848584,1941.6368654461608,513.6120059071654 -R16x9.6x6.3,1012257.0,70.095,0.0910127196144315,1944.1711051549244,528.9396756904587 -R16x9.6x6.3,1012107.0,70.073,0.0930271529074647,1962.1118653338604,545.5834314532152 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+1000000,100,0.05,3297.2382375924435,3111.383539363779,0 +1000000,110,0.013,3669.636088199376,2086.476240793474,0 +1000000,110,0.025,3441.458719414499,2652.656325426398,0 +1000000,110,0.05,3294.062723437129,3166.743868085101,0 +1000000,120,0.013,3715.94990710444,2118.453612341483,0 +1000000,120,0.025,3452.821023090421,2717.625872128377,0 +1000000,120,0.05,3294.028875505267,3218.3370210173657,0 diff --git a/materialdatabase/processing/data_structure.py b/materialdatabase/processing/data_structure.py index 466edc3..f41cfa4 100644 --- a/materialdatabase/processing/data_structure.py +++ b/materialdatabase/processing/data_structure.py @@ -241,7 +241,6 @@ def get_complex_data_set(self, material: Material, data_source: DataSource, data_type: ComplexDataType, - h_offset: float = 0, probe_codes: list[str] | None = None) -> pd.DataFrame: """ Get a complex data set of a certain material, data type and measurement. @@ -255,8 +254,6 @@ def get_complex_data_set(self, :type data_source: DataSource :param data_type: Type of requested data e.g. mdb.ComplexDataType.complex_permeability :type data_type: ComplexDataType - :param h_offset: H-Offset of the requested data - :type h_offset: float, :param probe_codes: None -> all probe codes available or select probes via ['Y3F', '7U8'], e.g. :type probe_codes: list[str] | None :return: Requested data within a data frame @@ -267,39 +264,22 @@ def get_complex_data_set(self, raise ValueError(f"{data_type} is no valid complex data type.\n" f"Valid complex data types are: {[item.value for item in ComplexDataType]}") else: - # Check if requested data is without h-offset path2file = Path(f"{self.root_dir}/{data_type.value}/{data_source.value}/{material.value}.csv") if path2file not in self.all_paths: raise ValueError(f"The specified data file with path {path2file} does not exist.") else: data_set = pd.read_csv(path2file, sep=",") - - if data_type == ComplexDataType.complex_permeability: - if "h_offset" not in data_set.columns: - # Create combined dataset - self.combine_material_permeability_data(material, data_source) - # Read updated CSV-File again - data_set = pd.read_csv(path2file, sep=",") - # Filter requested H-offset data - result_data_set = data_set[data_set['h_offset'] == h_offset] - # Check if H-offset dataset is not found - if result_data_set.empty: - raise ValueError(f"A dataset with h_offset={h_offset} is not available.\n" - f"Please use the 'get_available_h_offset' method to retrieve the list of available h-offsets.") - else: - result_data_set = data_set - # Check if probes are requested if probe_codes is None: logger.info(f"Complex data read from {path2file}.") - return result_data_set + return data_set else: logger.info(f"Complex data read from {path2file}" f"for the probe codes {probe_codes}.") - result_data_set = result_data_set.loc[result_data_set["probe"].isin(probe_codes)] + data_set = data_set.loc[data_set["probe"].isin(probe_codes)] - return result_data_set + return data_set def get_complex_permeability(self, material: Material, @@ -323,14 +303,32 @@ def get_complex_permeability(self, :return: Requested data within a data frame :rtype: pd.DataFrame """ - dataset = self.get_complex_data_set( + # Read data set + data_set = self.get_complex_data_set( material=material, data_source=data_source, data_type=ComplexDataType.complex_permeability, - h_offset=h_offset, probe_codes=probe_codes ) - return ComplexPermeability(dataset, material, data_source, pv_fit_function) + + if "h_offset" not in data_set.columns: + # Create combined dataset + self.combine_material_permeability_data(material, data_source) + # Read updated CSV-File again + data_set = self.get_complex_data_set( + material=material, + data_source=data_source, + data_type=ComplexDataType.complex_permeability, + probe_codes=probe_codes + ) + # Filter requested H-offset data + result_data_set = data_set[data_set['h_offset'] == h_offset] + # Check if H-offset dataset is not found + if result_data_set.empty: + raise ValueError(f"A dataset with h_offset={h_offset} is not available.\n" + f"Please use the 'get_available_h_offset' method to retrieve the list of available h-offsets.") + + return ComplexPermeability(result_data_set, material, data_source, pv_fit_function) def combine_material_permeability_data(self, material: Material, data_source: DataSource) -> bool: """