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49
setup.cfg
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49
setup.cfg
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@ -0,0 +1,49 @@
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[metadata]
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name = pytestpavement
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description = Analysis Pavment Test Data
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author = Markus Clauß
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author_email = markus.clauss@tu-dresden.de
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url = https://git.linsenbruch.myds.me/Arbeit/pytest
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platforms = any
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classifiers =
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Development Status :: 5 - Production/Stable
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Intended Audience :: Science/Research
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Topic :: Scientific/Engineering
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License :: OSI Approved :: BSD License
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Operating System :: OS Independent
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3 :: Only
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Programming Language :: Python :: 3.7
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Programming Language :: Python :: 3.8
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Programming Language :: Python :: 3.9
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Programming Language :: Python :: 3.10
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Programming Language :: Python :: Implementation :: CPython
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Programming Language :: Python :: Implementation :: PyPy
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keywords =
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project_urls =
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Source = https://git.linsenbruch.myds.me/Arbeit/pytest
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[options]
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packages = find:
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python_requires = >=3.9
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setup_requires = setuptools_scm
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install_requires =
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lmfit
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pandas
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numpy
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scipy
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matplotlib
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seaborn
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mongoengine
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[options.packages.find]
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where=src
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[rstcheck]
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report=warning
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ignore_substitutions=release
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ignore_roles=scipydoc,numpydoc
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ignore_directives=autoclass,autodoc,autofunction,automethod,jupyter-execute,math
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[flake8]
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ignore = E121,E123,E126,E226,W503,W504,E501,E731
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21
setup.py
21
setup.py
@ -1,21 +1,6 @@
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#!/usr/bin/env python
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#!/usr/bin/env python
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from setuptools import find_packages, setup
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import setuptools
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setup(
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if __name__ == "__main__":
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name='PyTestPavement',
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setuptools.setup()
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version='0.1',
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author='Markus Clauß',
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author_email='markus.clauss@tu-dresden.de',
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install_requires=[
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'lmfit',
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'pandas',
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'numpy',
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'scipy',
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'matplotlib', #remove later
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'seaborn', #remove later
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'mongoengine',
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],
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packages=find_packages(where="src"),
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package_dir={"": "src"},
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include_package_data=True)
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@ -8,3 +8,9 @@ def stiffness_tp26(T, f, Emax, Emin, phi, z0, z1, T0=20.0):
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E = Emin + (Emax - Emin) / (1 + np.exp(z0 * x + z1))
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E = Emin + (Emax - Emin) / (1 + np.exp(z0 * x + z1))
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return E
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return E
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def calc_nu(T):
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#TODO: Prüfen ob Formel stimmt!
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nu = 0.15 + (0.35) / (1 + np.exp(3.1849 - 0.04233 * (9 / 5 * T + 32)))
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return nu
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@ -318,14 +318,22 @@ class DataSineLoad():
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'Number of load cycles smaller than selectect values')
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'Number of load cycles smaller than selectect values')
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if not isinstance(self.data, list):
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if not isinstance(self.data, list):
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if self.number_of_load_cycles_for_analysis > 1:
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df_sel = [
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df_sel = [
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sel_df(self.data, num=self.number_of_load_cycles_for_analysis)
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sel_df(self.data,
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num=self.number_of_load_cycles_for_analysis)
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]
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]
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else:
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df_sel = [self.data]
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else:
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else:
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df_sel = []
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df_sel = []
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for d in self.data:
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for d in self.data:
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d_sel = sel_df(d, num=self.number_of_load_cycles_for_analysis)
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if self.number_of_load_cycles_for_analysis > 1:
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d_sel = sel_df(d,
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num=self.number_of_load_cycles_for_analysis)
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else:
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d_sel = d
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df_sel.append(d_sel)
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df_sel.append(d_sel)
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File diff suppressed because it is too large
Load Diff
@ -2,6 +2,7 @@ import datetime
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from mongoengine import *
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from mongoengine import *
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from .data import CITTSiffness
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from .material import Material
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from .material import Material
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@ -41,40 +42,43 @@ class CITTSiffness(CyclicIndirectTensileTest):
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sigma_set = FloatField()
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sigma_set = FloatField()
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T_set = FloatField()
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T_set = FloatField()
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N_from = IntField()
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N_to = IntField()
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data = LazyReferenceField(CITTSiffness,
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required=True,
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reverse_delete_rule=CASCADE)
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#results
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#results
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stiffness = FloatField()
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stiffness = FloatField()
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nu = FloatField()
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phase = FloatField()
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#fit parameter
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#fit parameter
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## F
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## F
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fit_a_F = FloatField()
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F_amp = FloatField()
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fit_b_F = FloatField()
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F_freq = FloatField()
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fit_d_F = FloatField()
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F_phase = FloatField()
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fit_e_F = FloatField()
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F_offset = FloatField()
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fit_f_F = FloatField()
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F_slope = FloatField()
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r2_F = FloatField()
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F_r2 = FloatField()
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## S1
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## S1
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fit_a_s_hor_1 = FloatField()
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s_hor_1_amp = FloatField()
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fit_b_s_hor_1 = FloatField()
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s_hor_1_freq = FloatField()
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fit_d_s_hor_1 = FloatField()
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s_hor_1_phase = FloatField()
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fit_e_s_hor_1 = FloatField()
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s_hor_1_offset = FloatField()
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fit_f_s_hor_1 = FloatField()
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s_hor_1_slope = FloatField()
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r2_s_hor_1 = FloatField()
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s_hor_1_r2 = FloatField()
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## S2
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## S2
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fit_a_s_hor_2 = FloatField()
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s_hor_2_amp = FloatField()
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fit_b_s_hor_2 = FloatField()
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s_hor_2_freq = FloatField()
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fit_d_s_hor_2 = FloatField()
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s_hor_2_phase = FloatField()
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fit_e_s_hor_2 = FloatField()
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s_hor_2_offset = FloatField()
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fit_f_s_hor_2 = FloatField()
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s_hor_2_slope = FloatField()
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r2_s_hor_2 = FloatField()
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s_hor_2_r2 = FloatField()
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## S-Sum
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## S-Sum
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fit_a_s_hor_sum = FloatField()
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s_hor_amp = FloatField()
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fit_b_s_hor_sum = FloatField()
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s_hor_freq = FloatField()
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fit_d_s_hor_sum = FloatField()
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s_hor_phase = FloatField()
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fit_e_s_hor_sum = FloatField()
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s_hor_offset = FloatField()
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fit_f_s_hor_sum = FloatField()
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s_hor_slope = FloatField()
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r2_s_hor_sum = FloatField()
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s_hor_r2 = FloatField()
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# data
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time = ListField(FloatField())
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F = ListField(FloatField())
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N = ListField(IntField())
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s_hor_1 = ListField(FloatField())
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s_hor_2 = ListField(FloatField())
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@ -31,3 +31,15 @@ class DataSheartest(RawData):
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s_vert_2 = ListField(FloatField())
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s_vert_2 = ListField(FloatField())
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s_vert_sum = ListField(FloatField())
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s_vert_sum = ListField(FloatField())
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s_piston = ListField(FloatField())
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s_piston = ListField(FloatField())
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class CITTSiffness(RawData):
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# data
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time = ListField(FloatField())
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F = ListField(FloatField())
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N = ListField(IntField())
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s_hor_1 = ListField(FloatField())
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s_hor_2 = ListField(FloatField())
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s_hor_sum = ListField(FloatField())
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s_piston = ListField(FloatField(), required=False)
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