diff --git a/tests/core/test_custom_logging_code.py b/tests/core/test_custom_logging_code.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/tests/core/test_persistent_data.py b/tests/core/test_persistent_data.py
deleted file mode 100644
index 5276f752dd15092382f69d9be3e6875ec63ef2b6..0000000000000000000000000000000000000000
--- a/tests/core/test_persistent_data.py
+++ /dev/null
@@ -1,380 +0,0 @@
-"""
-Module containing tests regarding the persistent_data memory and the ensemble output
-"""
-
-import os
-import sys
-import time
-import json
-import textwrap
-import binary_c_python_api
-
-from binarycpython.utils.functions import (
-    binarycDecoder,
-    temp_dir,
-    inspect_dict,
-    merge_dicts,
-)
-
-TMP_DIR = temp_dir()
-os.makedirs(os.path.join(TMP_DIR, "test"), exist_ok=True)
-
-
-####
-def return_argstring(
-    m1=15.0,
-    m2=14.0,
-    separation=0,
-    orbital_period=453000000000,
-    eccentricity=0.0,
-    metallicity=0.02,
-    max_evolution_time=15000,
-    defer_ensemble=0,
-    ensemble_filters_off=1,
-    ensemble_filter="SUPERNOVAE",
-):
-    """
-    Function to make a argstring that we can use in these tests
-    """
-
-    # Make the argstrings
-    argstring_template = "binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} \
-eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g} ensemble 1 ensemble_defer {7} \
-ensemble_filters_off {8} ensemble_filter_{9} 1 probability 0.1"
-
-    argstring = argstring_template.format(
-        m1,
-        m2,
-        separation,
-        orbital_period,
-        eccentricity,
-        metallicity,
-        max_evolution_time,
-        defer_ensemble,
-        ensemble_filters_off,
-        ensemble_filter,
-    )
-
-    return argstring
-
-
-def test_return_persistent_data_memaddr():
-    output = binary_c_python_api.return_persistent_data_memaddr()
-
-    print("function: test_run_system")
-    print("Binary_c output:")
-    print(textwrap.indent(str(output), "\t"))
-
-    assert isinstance(output, int), "memory adress has to be an integer"
-    assert output != 0, "memory adress seems not to have a correct value"
-
-
-def test_passing_persistent_data_to_run_system():
-    # Function to test the passing of the persistent data memoery adress, and having ensemble_defer = True
-    # We should see that the results of multiple systems have been added to the one output json
-
-    # Make argstrings
-    argstring_1 = return_argstring(defer_ensemble=0)
-    argstring_1_deferred = return_argstring(defer_ensemble=1)
-    argstring_2 = return_argstring(defer_ensemble=0)
-
-    #
-    persistent_data_memaddr = binary_c_python_api.return_persistent_data_memaddr()
-
-    output_1 = binary_c_python_api.run_system(argstring=argstring_1)
-    ensemble_jsons_1 = [
-        line for line in output_1.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    json_1 = json.loads(ensemble_jsons_1[0][len("ENSEMBLE_JSON ") :])
-
-    # Doing 2 systems in a row.
-    output_1_deferred = binary_c_python_api.run_system(
-        argstring=argstring_1_deferred, persistent_data_memaddr=persistent_data_memaddr
-    )
-    output_2 = binary_c_python_api.run_system(
-        argstring=argstring_2, persistent_data_memaddr=persistent_data_memaddr
-    )
-    ensemble_jsons_2 = [
-        line for line in output_2.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    json_2 = json.loads(ensemble_jsons_2[0][len("ENSEMBLE_JSON ") :])
-
-    # Doing system one again.
-    output_1_again = binary_c_python_api.run_system(argstring=argstring_1)
-    ensemble_jsons_1 = [
-        line for line in output_1_again.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    json_1_again = json.loads(ensemble_jsons_1[0][len("ENSEMBLE_JSON ") :])
-
-    assert (
-        json_1 == json_1_again
-    ), "The system with the same initial settings did not give the same output"
-    assert (
-        json_1 != json_2
-    ), "The output of the deferred two systems should not be the same as the first undeferred output"
-
-
-def test_full_ensemble_output():
-    """
-    Function to just output the whole ensemble
-    """
-
-    argstring_1 = return_argstring(defer_ensemble=0, ensemble_filters_off=0)
-    output_1 = binary_c_python_api.run_system(argstring=argstring_1)
-    ensemble_jsons_1 = [
-        line for line in output_1.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-
-    start = time.time()
-    json_1 = json.loads(
-        ensemble_jsons_1[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-    stop = time.time()
-
-    with open(os.path.join(TMP_DIR, "test", "json_full_ensemble.json"), "w") as f:
-        f.write(json.dumps(json_1, indent=4))
-
-    print("took {}s to decode".format(stop - start))
-    print("Size of the json in memory: {}".format(sys.getsizeof(json_1)))
-
-    # assert statements:
-    assert "number_counts" in json_1.keys()
-    assert "HRD" in json_1.keys()
-    assert "HRD(t)" in json_1.keys()
-    assert "Xyield" in json_1.keys()
-    assert "distributions" in json_1.keys()
-    assert "scalars" in json_1.keys()
-
-
-def test_adding_ensemble_output():
-    """
-    Function that adds the output of 2 ensembles and compares it to the output that we get by deferring the first output
-    """
-
-    m1 = 2  # Msun
-    m2 = 0.1  # Msun
-    extra_mass = 10
-
-    #############################################################################################
-    # The 2 runs below use the ensemble but do not defer the output to anything else, so that the
-    # results are returned directly after the run
-
-    # Direct output commands
-    argstring_1 = return_argstring(
-        m1=m1, m2=m2, ensemble_filter="STELLAR_TYPE_COUNTS", defer_ensemble=0
-    )
-    argstring_2 = return_argstring(
-        m1=m1 + extra_mass,
-        m2=m2,
-        ensemble_filter="STELLAR_TYPE_COUNTS",
-        defer_ensemble=0,
-    )
-
-    # Get outputs
-    output_1 = binary_c_python_api.run_system(argstring=argstring_1)
-    output_2 = binary_c_python_api.run_system(argstring=argstring_2)
-
-    test_1_ensemble_jsons_1 = [
-        line for line in output_1.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    test_1_ensemble_jsons_2 = [
-        line for line in output_2.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-
-    test_1_json_1 = json.loads(
-        test_1_ensemble_jsons_1[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-    test_1_json_2 = json.loads(
-        test_1_ensemble_jsons_2[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-
-    test_1_merged_dict = merge_dicts(test_1_json_1, test_1_json_2)
-
-    with open(os.path.join(TMP_DIR, "test", "adding_json_1.json"), "w") as file:
-        file.write(json.dumps(test_1_json_1, indent=4))
-    with open(os.path.join(TMP_DIR, "test", "adding_json_2.json"), "w") as file:
-        file.write(json.dumps(test_1_json_2, indent=4))
-    with open(os.path.join(TMP_DIR, "test", "adding_json_merged.json"), "w") as file:
-        file.write(json.dumps(test_1_json_2, indent=4))
-
-    print("Single runs done\n")
-
-    #############################################################################################
-    # The 2 runs below use the ensemble and both defer the output so that after they are finished
-    # nothing is printed. After that we explicitly free the memory of the persistent_data and
-    # have the output returned in that way
-
-    # Deferred commands
-    argstring_1_deferred = return_argstring(
-        m1=m1, m2=m2, ensemble_filter="STELLAR_TYPE_COUNTS", defer_ensemble=1
-    )
-    argstring_2_deferred = return_argstring(
-        m1=m1 + extra_mass,
-        m2=m2,
-        ensemble_filter="STELLAR_TYPE_COUNTS",
-        defer_ensemble=1,
-    )
-
-    # Get a memory location
-    test_2_persistent_data_memaddr = (
-        binary_c_python_api.return_persistent_data_memaddr()
-    )
-
-    # Run the systems and defer the output each time
-    _ = binary_c_python_api.run_system(
-        argstring=argstring_1_deferred,
-        persistent_data_memaddr=test_2_persistent_data_memaddr,
-    )
-    _ = binary_c_python_api.run_system(
-        argstring=argstring_2_deferred,
-        persistent_data_memaddr=test_2_persistent_data_memaddr,
-    )
-
-    # Have the persistent_memory adress be released and have the json outputted
-    test_2_output = binary_c_python_api.free_persistent_data_memaddr_and_return_json_output(
-        test_2_persistent_data_memaddr
-    )
-    test_2_ensemble_json = [
-        line for line in test_2_output.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    test_2_json = json.loads(
-        test_2_ensemble_json[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-
-    with open(os.path.join(TMP_DIR, "test", "adding_json_deferred.json"), "w") as file:
-        file.write(json.dumps(test_2_json, indent=4))
-
-    print("Double deferred done\n")
-
-    #############################################################################################
-    # The 2 runs below use the ensemble and the first one defers the output to the memory,
-    # Then the second one uses that memory to combine its results with, but doesn't defer the
-    # data after that, so it will print it after the second run is done
-
-    test_3_persistent_data_memaddr = (
-        binary_c_python_api.return_persistent_data_memaddr()
-    )
-
-    # Run the systems and defer the output once and the second time not, so that the second run
-    # automatically prints out the results
-    _ = binary_c_python_api.run_system(
-        argstring=argstring_1_deferred,
-        persistent_data_memaddr=test_3_persistent_data_memaddr,
-    )
-    test_3_output_2 = binary_c_python_api.run_system(
-        argstring=argstring_2, persistent_data_memaddr=test_3_persistent_data_memaddr
-    )
-    test_3_ensemble_jsons = [
-        line
-        for line in test_3_output_2.splitlines()
-        if line.startswith("ENSEMBLE_JSON")
-    ]
-    test_3_json = json.loads(
-        test_3_ensemble_jsons[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-
-    with open(
-        os.path.join(TMP_DIR, "test", "adding_json_deferred_and_output.json"), "w"
-    ) as f:
-        f.write(json.dumps(test_3_json, indent=4))
-
-    print("Single deferred done\n")
-
-    #
-    assert_message_1 = """
-    The structure of the manually merged is not the same as the merged by double deferring
-    """
-    assert_message_2 = """
-    The structure of the manually merged is not the same as the merged by deferring once
-    and output on the second run
-    """
-
-    #
-    # print(json.dumps(test_1_merged_dict, indent=4))
-    # print(json.dumps(test_2_json, indent=4))
-
-    #
-    assert inspect_dict(test_1_merged_dict, print_structure=False) == inspect_dict(
-        test_2_json, print_structure=False
-    ), assert_message_1
-    # assert inspect_dict(test_1_merged_dict, print_structure=False) == inspect_dict(test_3_json, print_structure=False), assert_message_2
-
-
-def test_combine_with_empty_json():
-    argstring_1 = return_argstring(defer_ensemble=0)
-    output_1 = binary_c_python_api.run_system(argstring=argstring_1)
-    ensemble_jsons_1 = [
-        line for line in output_1.splitlines() if line.startswith("ENSEMBLE_JSON")
-    ]
-    json_1 = json.loads(
-        ensemble_jsons_1[0][len("ENSEMBLE_JSON ") :], cls=binarycDecoder
-    )
-
-    assert_message = (
-        "combining output json with empty dict should give same result as initial json"
-    )
-    assert merge_dicts(json_1, {}) == json_1, assert_message
-
-
-def test_free_and_json_output():
-    """
-    Function that tests the freeing of the memory adress and the output of the json
-    """
-
-    m1 = 2  # Msun
-    m2 = 0.1  # Msun
-
-    # Get argstring:
-    argstring_1 = return_argstring(
-        m1=m2, m2=m2, ensemble_filter="STELLAR_TYPE_COUNTS", defer_ensemble=1
-    )
-
-    # Get a memory adress:
-    persistent_data_memaddr = binary_c_python_api.return_persistent_data_memaddr()
-
-    # Evolve and defer output
-    print("evolving")
-    output_1_deferred = binary_c_python_api.run_system(
-        argstring=argstring_1, persistent_data_memaddr=persistent_data_memaddr
-    )
-    print("Evolved")
-    print("Output:")
-    print(textwrap.indent(str(output_1_deferred), "\t"))
-
-    # Free memory adress
-    print("freeing")
-    json_output_by_freeing = binary_c_python_api.free_persistent_data_memaddr_and_return_json_output(
-        persistent_data_memaddr
-    )
-    print("Freed")
-    print("Output:")
-    print(textwrap.indent(str(json_output_by_freeing), "\t"))
-
-    parsed_json = json.loads(
-        json_output_by_freeing.splitlines()[0][len("ENSEMBLE_JSON ") :],
-        cls=binarycDecoder,
-    )
-    print(parsed_json)
-    # ensemble_jsons_1 = [line for line in output_1.splitlines() if line.startswith("ENSEMBLE_JSON")]
-    # json_1 = json.loads(ensemble_jsons_1[0][len("ENSEMBLE_JSON "):], cls=binarycDecoder)
-
-
-def test_all():
-    test_return_persistent_data_memaddr()
-    test_passing_persistent_data_to_run_system()
-    test_full_ensemble_output()
-    test_adding_ensemble_output()
-    test_free_and_json_output()
-    test_combine_with_empty_json()
-
-
-####
-if __name__ == "__main__":
-    # test_return_persistent_data_memaddr()
-    # test_passing_persistent_data_to_run_system()
-    # test_full_ensemble_output()
-    # test_adding_ensemble_output()
-    test_free_and_json_output()
-    # test_combine_with_empty_json()
-    # test_all()
-    print("Done")
diff --git a/tests/core/test_return_store_memaddr.py b/tests/core/test_return_store_memaddr.py
deleted file mode 100644
index 25fdbe75cabfa57af92911344c4b60b2823e43a1..0000000000000000000000000000000000000000
--- a/tests/core/test_return_store_memaddr.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import binary_c_python_api
-import textwrap
-
-
-def test_return_store_memaddr():
-    output = binary_c_python_api.return_store_memaddr()
-
-    print("function: test_return_store")
-    print("store memory adress:")
-    print(textwrap.indent(str(output), "\t"))
-
-
-def test_unload_store_memaddr():
-    output = binary_c_python_api.return_store_memaddr()
-
-    print("function: test_return_store")
-    print("store memory adress:")
-    print(textwrap.indent(str(output), "\t"))
-    print(type(output))
-    _ = binary_c_python_api.free_store_memaddr(output)
-    print("freed store memaddr")
-
-
-####
-if __name__ == "__main__":
-    test_return_store_memaddr()
-    test_unload_store_memaddr()
diff --git a/tests/core/test_run_system.py b/tests/core/test_run_system.py
deleted file mode 100644
index 060496a95dde11ce746258c47f71f64bb0354e24..0000000000000000000000000000000000000000
--- a/tests/core/test_run_system.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import binary_c_python_api
-import textwrap
-
-
-# Evolution functions
-def test_run_system():
-    m1 = 15.0  # Msun
-    m2 = 14.0  # Msun
-    separation = 0  # 0 = ignored, use period
-    orbital_period = 4530.0  # days
-    eccentricity = 0.0
-    metallicity = 0.02
-    max_evolution_time = 15000
-    argstring = "binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g}  ".format(
-        m1,
-        m2,
-        separation,
-        orbital_period,
-        eccentricity,
-        metallicity,
-        max_evolution_time,
-    )
-
-    output = binary_c_python_api.run_system(argstring=argstring)
-
-    # print("function: test_run_system")
-    # print("Binary_c output:")
-    # print(textwrap.indent(output, "\t"))
-
-    assert "SINGLE_STAR_LIFETIME" in output, "Run system not working properly"
-
-
-####
-if __name__ == "__main__":
-    test_run_system()
diff --git a/tests/extra_tests.py b/tests/extra_tests.py
deleted file mode 100644
index 85029ded6b366d40672ca53399b66f83854bced8..0000000000000000000000000000000000000000
--- a/tests/extra_tests.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import subprocess
-import os
-
-# Script containing extra tests
-# TODO: store the version somewhere
-
-
-def test_binary_c_installed():
-    binary_c_dir = os.getenv("BINARY_C", None)
-
-    assert (
-        binary_c_dir is not None
-    ), "Error: the BINARY_C environment variable is not set."
-    assert os.path.isfile(
-        os.path.join(binary_c_dir, "binary_c")
-    ), "binary_c doesn't exist!"
-
-
-def test_binary_c_version():
-    required_binary_c_versions = ["2.1.7"]
-
-    binary_c_dir = os.getenv("BINARY_C", None)
-    binary_c_config = os.path.join(binary_c_dir, "binary_c-config")
-
-    installed_binary_c_version = (
-        subprocess.run([binary_c_config, "version"], stdout=subprocess.PIPE, check=True)
-        .stdout.decode("utf-8")
-        .split()
-    )[0]
-
-    message = """
-    The binary_c version that is installed ({}) does not match the binary_c versions ({}) 
-    that this release of the binary_c python module requires. 
-    """.format(
-        installed_binary_c_version, required_binary_c_versions
-    )
-    assert installed_binary_c_version in required_binary_c_versions, message
-
-
-###
-
-if __name__ == "__main__":
-    test_binary_c_version()
-    test_binary_c_installed()
diff --git a/tests/function_tests.py b/tests/function_tests.py
deleted file mode 100644
index a440492da98272e4ffdcf4ee6b7c27595de3b0b3..0000000000000000000000000000000000000000
--- a/tests/function_tests.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from binarycpython.utils.functions import (
-    get_help_super,
-    get_help_all,
-    get_help,
-)
-
-#############################
-# Script that contains unit tests for functions from the binarycpython.utils.functions file
-
-
-def test_get_help_super():
-    """
-    Function to test the get_help_super function
-    """
-
-    get_help_super_output = get_help_super()
-    get_help_super_keys = get_help_super_output.keys()
-
-    assert "stars" in get_help_super_keys, "missing section"
-    assert "binary" in get_help_super_keys, "missing section"
-    assert "nucsyn" in get_help_super_keys, "missing section"
-    assert "output" in get_help_super_keys, "missing section"
-    assert "i/o" in get_help_super_keys, "missing section"
-    assert "algorithms" in get_help_super_keys, "missing section"
-    assert "misc" in get_help_super_keys, "missing section"
-
-
-def test_get_help_all():
-    """
-    Function to test the get_help_all function
-    """
-
-    get_help_all_output = get_help_all(print_help=False)
-    get_help_all_keys = get_help_all_output.keys()
-
-    assert "stars" in get_help_all_keys, "missing section"
-    assert "binary" in get_help_all_keys, "missing section"
-    assert "nucsyn" in get_help_all_keys, "missing section"
-    assert "output" in get_help_all_keys, "missing section"
-    assert "i/o" in get_help_all_keys, "missing section"
-    assert "algorithms" in get_help_all_keys, "missing section"
-    assert "misc" in get_help_all_keys, "missing section"
-
-
-def test_get_help():
-    """
-    Function to test the get_help function
-    """
-
-    assert (
-        get_help("M_1", print_help=False)["parameter_name"] == "M_1"
-    ), "get_help('M_1') should return the correct parameter name"
-
-
-def test_all():
-    test_get_help()
-    test_get_help_all()
-    test_get_help_super()
-
-
-if __name__ == "__main__":
-    test_all()
diff --git a/tests/main.py b/tests/main.py
deleted file mode 100644
index 20b1a1fdefb05c5aa426367c2aab3a4289f9b33d..0000000000000000000000000000000000000000
--- a/tests/main.py
+++ /dev/null
@@ -1,6 +0,0 @@
-# Main file for the tests. This file imports all the combined_test functions from all files.
-from population.grid_tests import test_all as test_all_grid_tests
-from function_tests import test_all as test_all_function_tests
-
-test_all_grid_tests()
-test_all_function_tests()
diff --git a/tests/population/global_variable_for_distributions.py b/tests/population/global_variable_for_distributions.py
deleted file mode 100644
index e9114cbc6524c015fe00abddebe5f7b662082e53..0000000000000000000000000000000000000000
--- a/tests/population/global_variable_for_distributions.py
+++ /dev/null
@@ -1,117 +0,0 @@
-import time
-
-powerlaw_const = None
-
-###
-# Function/test to see the speed up of making values global so we dont have to calculate them each time
-# Theres only a factor ~2 increase here.
-
-
-def with_glob():
-    global powerlaw_const
-    if not powerlaw_const:
-        # print('not defined')
-        powerlaw_const = powerlaw_constant(10, 100, -2)
-    else:
-        # print('defined')
-        return powerlaw_const
-
-
-def without_glob():
-    powerlaw_const = powerlaw_constant(10, 100, -2)
-    return powerlaw_const
-
-
-def powerlaw_constant(min_val, max_val, k):
-    """
-    Function that returns the constant to normalise a powerlaw
-    """
-
-    k1 = k + 1.0
-    # print(
-    #     "Powerlaw consts from {} to {}, k={} where k1={}".format(
-    #         min_val, max_val, k, k1
-    #     )
-    # )
-
-    global powerlaw_const
-    powerlaw_const = k1 / (max_val ** k1 - min_val ** k1)
-    return powerlaw_const
-
-
-def powerlaw(min_val, max_val, k, x):
-    """
-    Single powerlaw with index k at x from min to max
-    """
-
-    # Handle faulty value
-    if k == -1:
-        print("wrong value for k")
-        raise ValueError
-
-    if (x < min_val) or (x > max_val):
-        print("value is out of bounds")
-        return 0
-
-    else:
-        powerlaw_const = powerlaw_constant(min_val, max_val, k)
-
-        # powerlaw
-        y = powerlaw_const * (x ** k)
-        # print(y)
-        # print(
-        #     "Power law from {} to {}: const = {}, y = {}".format(
-        #         min_val, max_val, const, y
-        #     )
-        # )
-        return y
-
-
-def powerlaw_with(min_val, max_val, k, x):
-    """
-    Single powerlaw with index k at x from min to max
-    """
-
-    # Handle faulty value
-    if k == -1:
-        print("wrong value for k")
-        raise ValueError
-
-    if (x < min_val) or (x > max_val):
-        return 0
-
-    else:
-        global powerlaw_const
-        if not powerlaw_const:
-            powerlaw_const = powerlaw_constant(min_val, max_val, k)
-
-        # powerlaw
-        y = powerlaw_const * (x ** k)
-        # print(
-        #     "Power law from {} to {}: const = {}, y = {}".format(
-        #         min_val, max_val, const, y
-        #     )
-        # )
-        return y
-
-
-steps = 1000000
-
-start_time_without_glob = time.time()
-for i in range(steps):
-    powerlaw(10, 100, -2, 20)
-stop_time_without_glob = time.time()
-
-start_time_with_glob = time.time()
-for i in range(steps):
-    powerlaw_with(10, 100, -2, 20)
-stop_time_with_glob = time.time()
-
-total_time_without = stop_time_without_glob - start_time_without_glob
-total_time_with = stop_time_with_glob - start_time_with_glob
-
-print(
-    "without: {}\nwith: {}\nRatio: {}".format(
-        total_time_without, total_time_with, total_time_without / total_time_with
-    )
-)
diff --git a/tests/population/grid_tests.py b/tests/population/grid_tests.py
deleted file mode 100644
index e4ca1a1fa950f912c2eeeb6e343dda3362f63bee..0000000000000000000000000000000000000000
--- a/tests/population/grid_tests.py
+++ /dev/null
@@ -1,464 +0,0 @@
-import os
-import json
-import time
-import pickle
-import sys
-
-# import matplotlib.pyplot as plt
-
-from binarycpython.utils.grid import Population
-from binarycpython.utils.functions import (
-    get_help_all,
-    get_help,
-    output_lines,
-)
-
-
-def test_setup_population():
-    """
-    Unit test for setting up the population object
-    """
-
-    test_pop = Population()
-
-    assert isinstance(test_pop, Population), "Population object not created properly"
-
-
-def test_set_value_population():
-    """
-    Unit test for setting values in the population object
-    """
-
-    test_pop = Population()
-
-    test_pop.set(verbosity=1,)
-
-    test_pop.set(
-        M_1=10, data_dir="/tmp/binary-c/output", ensemble_filter_SUPERNOVAE=1,
-    )
-
-    assert test_pop.bse_options["M_1"] == 10, "BSE options not correctly set"
-    assert test_pop.grid_options["verbosity"] == 1, "Grid options not correctly set"
-    assert (
-        test_pop.custom_options["data_dir"] == "/tmp/binary-c/output"
-    ), "Custom options not correctly set"
-    assert (
-        test_pop.bse_options["ensemble_filter_SUPERNOVAE"] == 1
-    ), "Parameters are not getting caught correctly (The wildcards of parameters with %d in their name)"
-
-
-def test_set_argline_output_population():
-    """
-    Unit test for setting values in the population object
-    """
-
-    test_pop = Population()
-
-    test_pop.set(
-        M_1=10,
-        M_2=14.0,  # Msun
-        separation=0,  # 0 = ignored, use period
-        orbital_period=4530.0,  # days
-        eccentricity=0.0,
-        metallicity=0.02,
-        max_evolution_time=15000,
-        verbosity=1,
-    )
-
-    argline = test_pop.return_argline()
-    assert (
-        argline
-        == "binary_c M_1 10 M_2 14.0 eccentricity 0.0 max_evolution_time 15000 metallicity 0.02 orbital_period 4530.0 separation 0"
-    ), "Argline not constructed correctly. Check if values are set properly."
-
-
-def test_version_info_dict_population():
-    """
-    Unit test for setting values in the population object
-
-    TODO: Add status to output of the version_info, with -1 if there are unmatched items
-    """
-
-    test_pop = Population()
-
-    # return version info
-    version_info = test_pop.return_binary_c_version_info(parsed=True)
-    version_info_keys = version_info.keys()
-
-    assert "L_SUN" in version_info_keys, "Missing item in version info"
-    assert "ADAPTIVE_RLOF_LOG" in version_info_keys, "Missing item in version info"
-    assert "GSL_VERSION" in version_info_keys, "Missing item in version info"
-    assert "git_revision" in version_info_keys, "Missing item in version info"
-
-
-def test_settings_output_population():
-    """
-    Unit test for outputting the settings of the population dict object
-    """
-
-    test_pop = Population()
-
-    # return version info
-    population_settings = test_pop.return_population_settings()
-    population_settings_keys = population_settings.keys()
-
-    assert (
-        "bse_options" in population_settings_keys
-    ), "Missing information in the population_settings dict"
-    assert (
-        "grid_options" in population_settings_keys
-    ), "Missing information in the population_settings dict"
-    assert (
-        "custom_options" in population_settings_keys
-    ), "Missing information in the population_settings dict"
-
-
-def test_all_info_population():
-    """
-    Unit test for outputting all information of the population object
-    """
-
-    test_pop = Population()
-
-    # return all info:
-    all_info_dict = test_pop.return_all_info()
-    all_info_keys = all_info_dict.keys()
-
-    assert (
-        "population_settings" in all_info_keys
-    ), "Missing information in the all_info settings dict"
-    assert (
-        "binary_c_defaults" in all_info_keys
-    ), "Missing information in the all_info settings dict"
-    assert (
-        "binary_c_version_info" in all_info_keys
-    ), "Missing information in the all_info settings dict"
-    assert (
-        "binary_c_help_all" in all_info_keys
-    ), "Missing information in the all_info settings dict"
-
-
-def test_evolve_single_system_population():
-    """
-    Unit test for the evolve_single_system function of the population object
-    """
-
-    test_pop = Population()
-
-    test_pop.set(
-        M_1=10,
-        M_2=14.0,  # Msun
-        separation=0,  # 0 = ignored, use period
-        orbital_period=4530.0,  # days
-        eccentricity=0.0,
-        metallicity=0.02,
-        max_evolution_time=15000,
-        verbosity=0,
-    )
-
-    output = test_pop.evolve_single()
-
-    assert "SINGLE_STAR_LIFETIME" in output, "Failed to evolve a system"
-
-
-# def test_custom_logging_memory_adress():
-
-
-def test_C_auto_logging_population():
-    """
-    Unit test for the creating a custom logging output by setting the 
-    C_auto_logging value with a list containing a headerline as key and a list of parameters as value
-    """
-
-    test_pop = Population()
-
-    test_pop.set(
-        M_1=14,
-        M_2=10.0,  # Msun
-        separation=0,  # 0 = ignored, use period
-        orbital_period=4530.0,  # days
-        eccentricity=0.0,
-        metallicity=0.02,
-        max_evolution_time=15000,
-        verbosity=0,
-    )
-
-    test_pop.set(
-        C_auto_logging={
-            "MY_HEADER_LINE": ["star[0].mass", "star[1].mass", "model.probability"]
-        }
-    )
-
-    output = test_pop.evolve_single()
-
-    first_line = output.splitlines()[0].split()
-
-    assert (
-        first_line[0] == "MY_HEADER_LINE"
-    ), "Failed to set the custom logging correctly"
-    assert (
-        first_line[1] == "14"
-    ), "Failed to set the custom logging correctly. First mass should be 14"
-    assert (
-        first_line[2] == "10"
-    ), "Failed to set the custom logging correctly. Second mass should be 10"
-    assert (
-        first_line[3] == "1"
-    ), "Failed to set the custom logging correctly. Probability should be 1"
-
-
-def test_C_logging_code_population():
-    """
-    Unit test for the creating a custom logging output by setting the 
-    C_logging_code which contains the exact print statement (including possible logic).
-    This will be evaluated and put into binary_c
-    """
-
-    test_pop = Population()
-
-    test_pop.set(
-        M_1=14,
-        M_2=10.0,  # Msun
-        separation=10000,  # 0 = ignored, use period
-        # orbital_period = 4530.0,  # days
-        eccentricity=0.0,
-        metallicity=0.02,
-        max_evolution_time=15000,
-        verbosity=0,
-    )
-
-    test_pop.set(
-        C_logging_code='Printf("MY_STELLAR_DATA mass=%g separation=%g probability=%g\\n", stardata->star[0].mass, stardata->common.orbit.separation, stardata->model.probability);'
-    )
-
-    output = test_pop.evolve_single()
-    first_line = output.splitlines()[0].split()
-
-    assert (
-        first_line[0] == "MY_STELLAR_DATA"
-    ), "Failed to set the custom logging correctly. Headerline should be MY_STELLAR_DATA"
-    assert (
-        first_line[1] == "mass=14"
-    ), "Failed to set the custom logging correctly. First mass should be 14"
-    assert (
-        first_line[2] == "separation=10000"
-    ), "Failed to set the custom logging correctly. Separation should be 10000"
-    assert (
-        first_line[3] == "probability=1"
-    ), "Failed to set the custom logging correctly. Probability should be 1"
-
-
-def parse_function(self, output):
-    """
-    Dummy parse function for handling the output of a system
-    """
-
-    parameters = ["mass_1", "separation", "probability"]
-    separator = "\t"
-
-    outfilename = os.path.join(
-        self.grid_options["tmp_dir"], "output_parse_function_test.txt"
-    )
-    if os.path.isfile(outfilename):
-        os.remove(outfilename)
-
-    for el in output_lines(output):
-        headerline = el.split()[0]
-
-        if headerline == "MY_STELLAR_DATA":
-            values = el.split()[1:]
-            if not os.path.exists(outfilename):
-                with open(outfilename, "w") as f:
-                    f.write(separator.join(parameters) + "\n")
-
-            with open(outfilename, "a") as f:
-                f.write(separator.join(values) + "\n")
-
-
-def test_parse_function_population():
-    """
-    Unit test to test the ise of a parsing function for the output
-    """
-
-    test_pop = Population()
-
-    test_pop.set(
-        M_1=10,
-        M_2=14.0,  # Msun
-        separation=0,  # 0 = ignored, use period
-        orbital_period=4530.0,  # days
-        eccentricity=0.0,
-        metallicity=0.02,
-        max_evolution_time=15000,
-        verbosity=0,
-    )
-
-    test_pop.set(
-        C_logging_code='Printf("MY_STELLAR_DATA mass=%g separation=%g probability=%g\\n", stardata->star[0].mass, stardata->common.orbit.separation, stardata->model.probability);'
-    )
-
-    test_pop.set(parse_function=parse_function)
-
-    # Run with parse function
-    test_pop.evolve_single(parse_function)
-
-    outfilename = os.path.join(
-        test_pop.grid_options["tmp_dir"], "output_parse_function_test.txt"
-    )
-    assert os.path.isfile(outfilename), "Output file not created!"
-
-    with open(outfilename, "r") as outfile:
-        output = outfile.readlines()
-    first_line_split = output[0].strip().split("\t")
-
-    assert first_line_split[0] == "mass_1", "Output header not created correctly"
-    assert first_line_split[1] == "separation", "Output header not created correctly"
-    assert first_line_split[2] == "probability", "Output header not created correctly"
-    assert len(output) > 1, "File doesn't seem to contain any real data"
-
-
-def test_all():
-    test_setup_population()
-    test_set_value_population()
-    test_set_argline_output_population()
-    test_version_info_dict_population()
-    test_settings_output_population()
-    test_all_info_population()
-    test_evolve_single_system_population()
-    test_C_auto_logging_population()
-    test_C_logging_code_population()
-    test_parse_function_population()
-
-
-if __name__ == "__main__":
-    test_all()
-    print("yo")
-
-# quit()
-# print(len(test_pop.return_binary_c_defaults()))
-# print('\n\n')
-# print(len(test_pop.cleanup_defaults()))
-
-## Use custom arg file
-# test_pop.evolve_population(custom_arg_file='/home/david/projects/binary_c_root/binary_c-python/tests/population/custom_arg_file.txt')
-
-
-### Grid generating testing
-# test_pop.add_grid_variable(
-#     name="lnm1",
-#     longname="log primary mass",
-#     valuerange=[10, 20],
-#     resolution="10",
-#     spacingfunc="np.linspace(0.213, 10.2, 10)",
-#     precode="M_1=math.exp(lnm1)",
-#     probdist="flat(M_1)",
-#     # probdist='self.custom_options["extra_prob_function"](M_1)',
-#     dphasevol="",
-#     parameter_name="M_1",
-#     condition="",
-# )
-
-# ### Grid generating test.
-# test_pop.add_grid_variable(
-#     name="period",
-#     longname="period",
-#     valuerange=["M_1", 20],
-#     resolution="10",
-#     spacingfunc="np.linspace(1, 10, 10)",
-#     precode="orbital_period = period**2",
-#     probdist="flat(orbital_period)",
-#     parameter_name="orbital_period",
-#     dphasevol="",
-#     condition='self.grid_options["binary"]==0',
-# )
-
-# test_pop.generate_grid_code()
-
-# test_pop.load_grid_function()
-
-# test_pop.write_binary_c_calls_to_file(output_dir="/home/david/Desktop")
-
-
-# print(test_pop.grid_options["code_string"])
-
-####
-# Dry run:
-# test_pop.set(verbose=1)
-# test_pop.add_grid_variable(
-#     name="lnm1",
-#     longname="log primary mass",
-#     valuerange=[10, 20],
-#     resolution="10",
-#     spacingfunc="np.linspace(0.213, 10.2, 10)",
-#     precode="M_1=math.exp(lnm1)",
-#     probdist="flat(M_1)",
-#     # probdist='self.custom_options["extra_prob_function"](M_1)',
-#     dphasevol="",
-#     parameter_name="M_1",
-#     condition="",
-# )
-
-# ### Grid generating test.
-# test_pop.add_grid_variable(
-#     name="period",
-#     longname="period",
-#     valuerange=["M_1", 20],
-#     resolution="10",
-#     spacingfunc="np.linspace(1, 10, 10)",
-#     precode="orbital_period = period**2",
-#     probdist="flat(orbital_period)",
-#     parameter_name="orbital_period",
-#     dphasevol="",
-#     condition='self.grid_options["binary"]==0',
-# )
-
-# test_pop.generate_grid_code(dry_run=True)
-
-# test_pop.load_grid_function()
-
-# test_pop.dry_run()
-
-# ###
-# testing population:
-# test_pop.set(
-#     verbose=1, amt_cores=2, binary=0,
-# )
-
-
-# resolution = {"M_1": 10, "per": 10}
-
-# test_pop.add_grid_variable(
-#     name="M_1",
-#     longname="log primary mass",
-#     valuerange=[10, 100],
-#     resolution="{}".format(resolution["M_1"]),
-#     spacingfunc="const(10, 100, {})".format(resolution["M_1"]),
-#     # precode="M_1=math.exp(lnm1)",
-#     probdist="flat(M_1)",
-#     # probdist='self.custom_options["extra_prob_function"](M_1)',
-#     dphasevol="dM_1",
-#     parameter_name="M_1",
-# )
-
-# ### Grid generating test.
-# test_pop.add_grid_variable(
-#     name="period",
-#     longname="period",
-#     valuerange=["M_1", 20],
-#     resolution="{}".format(resolution["per"]),
-#     spacingfunc="np.linspace(1, 10, {})".format(resolution["per"]),
-#     precode="orbital_period = period**2",
-#     probdist="flat(orbital_period)",
-#     parameter_name="orbital_period",
-#     dphasevol="dper",
-#     condition='self.grid_options["binary"]==0',
-# )
-
-# test_pop.set(verbose=1, amt_cores=2, binary=0, evolution_type="linear")
-
-
-# test_pop.evolve_population()
-# test_pop.generate_grid_code()
-# test_pop.load_grid_function()
-# print(test_pop.grid_options['system_generator'])
-# test_pop.grid_options['system_generator'](test_pop)
diff --git a/tests/profiling/profile_run.txt b/tests/profiling/profile_run.txt
deleted file mode 100644
index ccdeddae2bb5a06ceca311d9b53de11dfb074072..0000000000000000000000000000000000000000
Binary files a/tests/profiling/profile_run.txt and /dev/null differ
diff --git a/tests/profiling/profile_test.txt b/tests/profiling/profile_test.txt
deleted file mode 100644
index 34a8484623b8fcdd999256a15ff7f525f58c1b78..0000000000000000000000000000000000000000
Binary files a/tests/profiling/profile_test.txt and /dev/null differ
diff --git a/tests/profiling/readout_profile.py b/tests/profiling/readout_profile.py
deleted file mode 100644
index 654f07514e4287fd9cadb234721574917d6d18c8..0000000000000000000000000000000000000000
--- a/tests/profiling/readout_profile.py
+++ /dev/null
@@ -1,4 +0,0 @@
-import pstats
-
-p = pstats.Stats("profile_run.txt")
-p.sort_stats("tottime").print_stats(10)
diff --git a/tests/python_API_test.py b/tests/python_API_test.py
deleted file mode 100755
index 187ecd9992ec44cd16ec51d53e9b965cdbc62797..0000000000000000000000000000000000000000
--- a/tests/python_API_test.py
+++ /dev/null
@@ -1,182 +0,0 @@
-#!/usr/bin/python3
-
-import binary_c_python_api
-
-from binarycpython.utils.custom_logging_functions import (
-    autogen_C_logging_code,
-    binary_c_log_code,
-    create_and_load_logging_function,
-)
-from binarycpython.utils.functions import temp_dir
-
-import tempfile
-import textwrap
-
-############################################################
-# Test script for the api functions
-# unittests
-############################################################
-
-
-# Evolution functions
-def test_run_system():
-    m1 = 15.0  # Msun
-    m2 = 14.0  # Msun
-    separation = 0  # 0 = ignored, use period
-    orbital_period = 4530.0  # days
-    eccentricity = 0.0
-    metallicity = 0.02
-    max_evolution_time = 15000
-    argstring = "binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g}  ".format(
-        m1,
-        m2,
-        separation,
-        orbital_period,
-        eccentricity,
-        metallicity,
-        max_evolution_time,
-    )
-
-    output = binary_c_python_api.run_system(argstring=argstring)
-
-    print("function: test_run_system")
-    print("Binary_c output:")
-    print(textwrap.indent(output, "\t"))
-
-
-def test_run_system_with_log():
-    m1 = 15.0  # Msun
-    m2 = 14.0  # Msun
-    separation = 0  # 0 = ignored, use period
-    orbital_period = 4530.0  # days
-    eccentricity = 0.0
-    metallicity = 0.02
-    max_evolution_time = 15000
-
-    log_filename = temp_dir() + "/test_log.txt"
-    api_log_filename_prefix = temp_dir() + "/test_log"
-
-    argstring = "binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g} log_filename {7:s} api_log_filename_prefix {8:s}".format(
-        m1,
-        m2,
-        separation,
-        orbital_period,
-        eccentricity,
-        metallicity,
-        max_evolution_time,
-        log_filename,
-        api_log_filename_prefix,
-    )
-
-    output = binary_c_python_api.run_system(argstring=argstring, write_logfile=1)
-
-    print("function: test_run_system_with_log")
-    print("Binary_c output:")
-    print(textwrap.indent(output, "\t"))
-
-
-def test_run_system_with_custom_logging():
-    # generate logging lines. Here you can choose whatever you want to have logged, and with what header
-    # this generates working print statements
-    logging_line = autogen_C_logging_code(
-        {"MY_STELLAR_DATA": ["model.time", "star[0].mass"],}
-    )
-
-    # Generate entire shared lib code around logging lines
-    custom_logging_code = binary_c_log_code(logging_line)
-
-    # Load memory adress
-    func_memaddr, shared_lib_filename = create_and_load_logging_function(
-        custom_logging_code
-    )
-
-    # Some values
-    m1 = 15.0  # Msun
-    m2 = 14.0  # Msun
-    separation = 0  # 0 = ignored, use period
-    orbital_period = 4530.0  # days
-    eccentricity = 0.0
-    metallicity = 0.02
-    max_evolution_time = 15000
-
-    argstring = "binary_c M_1 {0:g} M_2 {1:g} separation {2:g} orbital_period {3:g} eccentricity {4:g} metallicity {5:g} max_evolution_time {6:g}".format(
-        m1,
-        m2,
-        separation,
-        orbital_period,
-        eccentricity,
-        metallicity,
-        max_evolution_time,
-    )
-
-    output = binary_c_python_api.run_system(
-        argstring, custom_logging_func_memaddr=func_memaddr
-    )
-
-    print("function: test_run_system_with_custom_logging")
-    print("memory adress of custom logging functions:")
-    print(textwrap.indent(str(func_memaddr), "\t"))
-
-    print("binary_c output:")
-    print(textwrap.indent(output, "\t"))
-
-
-# Testing other utility functions
-def test_return_help():
-    output = binary_c_python_api.return_help("M_1")
-
-    print("function: test_return_help")
-    print("help output:")
-    print(textwrap.indent(output, "\t"))
-
-
-def test_return_arglines():
-    output = binary_c_python_api.return_arglines()
-
-    print("function: test_return_arglines")
-    print("arglines output:")
-    print(textwrap.indent(output, "\t"))
-
-
-def test_return_help_all():
-    output = binary_c_python_api.return_help_all("M_1")
-
-    print("function: test_return_help_all")
-    print("help all output:")
-    print(textwrap.indent(output, "\t"))
-
-
-def test_return_version_info():
-    output = binary_c_python_api.return_version_info()
-
-    print("function: test_return_version_info")
-    print("version info output:")
-    print(textwrap.indent(output, "\t"))
-
-
-# Testing other functions
-def test_return_store():
-    output = binary_c_python_api.return_store_memaddr("")
-
-    print("function: test_return_store")
-    print("store memory adress:")
-    print(textwrap.indent(str(output), "\t"))
-
-
-####
-if __name__ == "__main__":
-    test_run_system()
-
-    test_run_system_with_log()
-
-    test_run_system_with_custom_logging()
-
-    test_return_help()
-
-    test_return_arglines()
-
-    test_return_help_all()
-
-    test_return_version_info()
-
-    test_return_store()
diff --git a/tests/scaling/argparse_setup.py b/tests/scaling/argparse_setup.py
deleted file mode 100644
index 0765c7f77d0f62e94cb6f9aa300855f0ee9a11a0..0000000000000000000000000000000000000000
--- a/tests/scaling/argparse_setup.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import os
-import json
-import time
-import pickle
-import sys
-import numpy as np
-
-from binarycpython.utils.grid import Population
-from binarycpython.utils.functions import get_help_all, get_help, create_hdf5
-
-
-import argparse
-
-
-parser = argparse.ArgumentParser()
-
-parser.add_argument(
-    "resolution_M_1", help="Resolution in M_1",
-)
-
-parser.add_argument(
-    "resolution_per", help="Resolution in period",
-)
-
-parser.add_argument(
-    "amt_cores", help="The amount of nodes that are used for the multiprocessing",
-)
-
-parser.add_argument(
-    "name_testcase", help="The name of the testcase (e.g. laptop, cluster etc)",
-)
-
-
-args = parser.parse_args()
-res_m_1 = int(args.resolution_M_1)
-res_per = int(args.resolution_per)
-AMT_CORES = int(args.amt_cores)
-name_testcase = args.name_testcase
diff --git a/tests/scaling/plot_scaling.py b/tests/scaling/plot_scaling.py
deleted file mode 100644
index e1b0be376d112a1b7c59dc08ed195b06ca0d8687..0000000000000000000000000000000000000000
--- a/tests/scaling/plot_scaling.py
+++ /dev/null
@@ -1,208 +0,0 @@
-import os
-import json
-import math
-
-import matplotlib.pyplot as plt
-import pandas as pd
-import numpy as np
-
-
-# Old plotting routine, needs updating
-def plot_runtime(calculated_results, unique_amt_cores, unique_amt_systems):
-    fig = plt.figure()
-    ax = fig.add_subplot(111)
-
-    color_options = ["blue", "green", "red", "black", "yellow", "magenta"]
-
-    x_position_shift = 0
-    y_position_shift = -0.05
-
-    colors = [color_options[i] for i in range(len(unique_amt_systems))]
-    for i, amt_systems in enumerate(unique_amt_systems):
-
-        cores = []
-
-        mean_times_linear = []
-        mean_times_multiprocessing = []
-        std_linear = []
-        std_mp = []
-
-        for el in calculated_results:
-            if el["systems"] == amt_systems:
-                cores.append(el["cores"] + x_position_shift)
-
-                mean_times_linear.append(el["mean_time_sequential"])
-                std_linear.append(el["std_sequential"])
-
-                mean_times_multiprocessing.append(el["mean_time_multiprocessing"])
-                std_mp.append(el["std_multiprocessing"])
-
-                # # add number of runs its based on
-                # plt.text(el['cores'] + x_position_shift+0.01, el['mean_ratio']+y_position_shift, el['total_runs'])
-
-        ax.errorbar(
-            cores,
-            mean_times_linear,
-            std_linear,
-            color=colors[i],
-            linewidth=1,
-            marker="P",
-            label="{} systems linear run".format(amt_systems),
-        )
-        ax.errorbar(
-            cores,
-            mean_times_multiprocessing,
-            std_mp,
-            linewidth=1,
-            color=colors[i],
-            marker="d",
-            label="{} systems MP run".format(amt_systems),
-        )
-        x_position_shift += 0.1
-
-    ax.set_title(
-        "Total time for sequential and MP for different amounts of systems on {}".format(
-            name_testcase
-        )
-    )
-    ax.set_xlabel("Amount of cores used")
-    ax.set_ylabel("Total time taken (s)")
-
-    ax.set_xlim(0, max(unique_amt_cores) + 20)
-    ax.set_yscale("log")
-    ax.grid()
-    ax.legend()
-
-    fig.savefig(
-        os.path.join(img_dir, "total_time_scaling_{}.{}".format(name_testcase, "png"))
-    )
-    fig.savefig(
-        os.path.join(img_dir, "total_time_scaling_{}.{}".format(name_testcase, "pdf"))
-    )
-    fig.savefig(
-        os.path.join(img_dir, "total_time_scaling_{}.{}".format(name_testcase, "eps"))
-    )
-
-    plt.show()
-
-
-def amdahl(f, n):
-    return 1.0 / ((1 - f) + (f / n))
-
-
-def plot_speedup_and_efficiency(result_json_filenames, plot_output_dir, name_testcase):
-    """
-    Plotting routine to plot the speedup and efficiency of scaling
-
-    Takes the name_testcase and hostname values of 
-    the first json file to add some info to the plots.
-    """
-
-    # Setup figure
-    fig, ax1 = plt.subplots()
-    ax2 = ax1.twinx()
-
-    # Go over all result jsons
-    for i, jsonfile in enumerate(result_json_filenames):
-        print("Processing {}".format(jsonfile))
-        with open(jsonfile, "r") as f:
-            result_data = json.loads(f.read())
-
-            # Get linear data
-            linear_data = result_data["linear"]
-            linear_mean = np.mean(linear_data)
-            linear_stdev = np.std(linear_data)
-
-            # Get multiprocessing data
-            cpus, speedups, efficiencies, stddev_speedups = [], [], [], []
-            for amt_cpus in result_data["mp"]:
-
-                # Get mp data
-                mp_data = result_data["mp"][amt_cpus]
-                mp_mean = np.mean(mp_data)
-                mp_stdev = np.std(mp_data)
-
-                # Calc
-                amt_cpus = int(amt_cpus)
-                speedup = linear_mean / mp_mean
-                stddev_speedup = (
-                    math.sqrt(
-                        (linear_stdev / linear_mean) ** 2 + (mp_stdev / mp_mean) ** 2
-                    )
-                    * speedup
-                )
-                efficiency = speedup / int(amt_cpus)
-
-                # Add to lists
-                cpus.append(amt_cpus)
-                efficiencies.append(efficiency)
-                speedups.append(speedup)
-                stddev_speedups.append(stddev_speedup)
-
-            # Plot
-            ax1.errorbar(
-                cpus,
-                speedups,
-                stddev_speedups,
-                linestyle="None",
-                marker="^",
-                label="{}".format(os.path.basename(jsonfile)),
-                # label="Speed up & efficiency of {} systems".format(
-                #     result_data["amt_systems"]
-                # ),
-            )
-
-            # Plot the efficiencies
-            ax2.plot(cpus, efficiencies, alpha=0.5, linestyle="dotted")
-            # x_position_shift += 0.1
-
-    #####################
-    # Extra plots
-
-    # 100 % scaling line
-    ax1.plot([1, max(cpus)], [1, max(cpus)], "--", alpha=0.25, label="100% scaling")
-    ax2.axhline(y=1, linestyle="--", alpha=0.25, label="100% efficient")
-    # ax1.plot([1, max(cpus)], [1, max(cpus)], '--', alpha=0.25, label='100% scaling')
-
-    # Amdahls law fitting
-    # Old stuff
-    # Do Amdahls law fitting
-    # cores = np.arange(1, 48, 0.1)
-    # values_list = []
-    # par_step = 0.005
-    # par_vals = np.arange(.95, 1, par_step)
-
-    # for par_val in par_vals:
-    #     values = amdahl(par_val, cores)
-    #     values_list.append(values)
-
-    # for i, values in enumerate(values_list):
-    #     ax1.plot(cores, values, label="par_val={}".format(par_vals[i]))
-
-    #################################
-    # Adding plot make up
-    ax1.set_title(
-        "Speed up ratio (left y, symbols) and efficiency (right y, dotted line) vs amount of cores"
-    )
-
-    ax1.set_xlabel("Amount of cores used")
-    ax1.set_ylabel("Speed up ratio (time_linear/time_parallel)")
-
-    ax1.grid()
-    ax1.legend(loc=4)
-    ax1.set_xscale("log")
-    ax2.set_xscale("log")
-
-    ax2.set_ylim(ymin=0, ymax=None)
-
-    fig.savefig(
-        os.path.join(
-            plot_output_dir, "speedup_scaling_{}.{}".format(name_testcase, "png")
-        )
-    )
-    fig.savefig(
-        os.path.join(
-            plot_output_dir, "speedup_scaling_{}.{}".format(name_testcase, "pdf")
-        )
-    )
-    plt.show()
diff --git a/tests/scaling/scaling_functions.py b/tests/scaling/scaling_functions.py
deleted file mode 100644
index 97a5779576a1235c3ca2829251c40dea6cd0455f..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_functions.py
+++ /dev/null
@@ -1,180 +0,0 @@
-"""
-Module containing the scaling functions.
-"""
-
-import time
-import socket
-import os
-
-import json
-
-import numpy as np
-
-from binarycpython.utils.grid import Population
-
-
-def dummy_parsefunction(self, output):
-    """
-    Dummy parsing function
-    """
-    pass
-
-
-def get_mp_results(population, cpu_list, amt_repeats, total_systems):
-    """
-    Function that runs a population <amt_repeats> for each
-    cpu amount (which is picked from cpu_list)
-    """
-
-    population.set(evolution_type="mp")
-    mp_dict = {}
-    for cpu_amt in cpu_list:
-
-        mp_times = []
-
-        population.set(amt_cores=cpu_amt)
-
-        #
-        for _ in range(amt_repeats):
-            total_mp_start = time.time()
-            population.evolve_population()
-            total_mp = time.time() - total_mp_start
-
-            print(
-                "MP ({} nodes) run with {} systems: {}".format(
-                    cpu_amt, total_systems, total_mp
-                )
-            )
-            mp_times.append(total_mp)
-
-        mp_dict[str(cpu_amt)] = mp_times
-
-    return mp_dict
-
-
-def get_linear_results(population, amt_repeats, total_systems):
-    """
-    Function that runs the population linearly (using 1 core) <amt_repeats> times
-    """
-
-    population.set(evolution_type="linear")
-    linear_times = []
-    for _ in range(amt_repeats):
-        total_lin_start = time.time()
-        population.evolve_population()
-        total_lin = time.time() - total_lin_start
-
-        print("linear run with {} systems: {}".format(total_systems, total_lin))
-        linear_times.append(total_lin)
-
-    return linear_times
-
-
-def run_systems_for_scaling_comparison(settings_dict):
-    """
-    Function that runs the systems for the scaling comparison
-    """
-
-    amount_of_cpus = settings_dict["amount_of_cpus"]
-    amount_of_cores = settings_dict["amount_of_cores"]
-    amt_repeats = settings_dict["amt_repeats"]
-    stepsize_cpus = settings_dict["stepsize_cpus"]
-    testcase = settings_dict["testcase"]
-    plot_dir = settings_dict["plot_dir"]
-    result_dir = settings_dict["result_dir"]
-
-    resolutions = settings_dict["resolutions"]
-
-    # For each set of resolutions
-    for resolution in resolutions:
-        # Some calculated values
-        total_systems = int(np.prod([el for el in resolution.values()]))
-        hostname = socket.gethostname()
-
-        # Generate the range of cpu numbers
-        cpu_list = np.arange(1, amount_of_cpus + 1, stepsize_cpus)
-        if not cpu_list[-1] == amount_of_cpus:
-            cpu_list = np.append(cpu_list, np.array([amount_of_cpus]))
-
-        ##################################################################
-        # Create dictionary in which to store all the results:
-        result_dict = {}
-
-        #
-        result_dict["amt_systems"] = total_systems
-        result_dict["hostname"] = hostname
-        result_dict["amt_logical_cores"] = amount_of_cpus
-        result_dict["amt_of_physical_cores"] = amount_of_cores
-        result_dict["testcase"] = testcase
-
-        #################
-        # Configuring population
-        test_pop = Population()
-
-        test_pop.set(
-            verbose=1, binary=1, parse_function=dummy_parsefunction,
-        )
-
-        test_pop.add_grid_variable(
-            name="lnm1",
-            longname="Primary mass",
-            valuerange=[1, 100],
-            resolution="{}".format(resolution["M_1"]),
-            spacingfunc="const(math.log(1), math.log(100), {})".format(
-                resolution["M_1"]
-            ),
-            precode="M_1=math.exp(lnm1)",
-            probdist="three_part_powerlaw(M_1, 0.1, 0.5, 1.0, 100, -1.3, -2.3, -2.3)*M_1",
-            dphasevol="dlnm1",
-            parameter_name="M_1",
-            condition="",  # Impose a condition on this grid variable. Mostly for a check for yourself
-        )
-
-        test_pop.add_grid_variable(
-            name="q",
-            longname="Mass ratio",
-            valuerange=["0.1/M_1", 1],
-            resolution="{}".format(resolution["q"]),
-            spacingfunc="const(0.1/M_1, 1, {})".format(resolution["q"]),
-            probdist="flatsections(q, [{'min': 0.1/M_1, 'max': 0.8, 'height': 1}, {'min': 0.8, 'max': 1.0, 'height': 1.0}])",
-            dphasevol="dq",
-            precode="M_2 = q * M_1",
-            parameter_name="M_2",
-            condition="",  # Impose a condition on this grid variable. Mostly for a check for yourself
-        )
-
-        test_pop.add_grid_variable(
-            name="logper",
-            longname="log(Orbital_Period)",
-            valuerange=[-2, 12],
-            resolution="{}".format(resolution["per"]),
-            spacingfunc="np.linspace(-2, 12, {})".format(resolution["per"]),
-            precode="orbital_period = 10** logper\n",  # TODO:
-            probdist="gaussian(logper,4.8, 2.3, -2.0, 12.0)",
-            parameter_name="orbital_period",
-            dphasevol="dln10per",
-        )
-
-        #######################################################################################
-        # Execute grids
-
-        # Linear runs
-        linear_times = get_linear_results(test_pop, amt_repeats, total_systems)
-        result_dict["linear"] = linear_times
-
-        #######################################################################################
-        # MP runs
-        mp_dict = get_mp_results(test_pop, cpu_list, amt_repeats, total_systems)
-        result_dict["mp"] = mp_dict
-
-        print(result_dict)
-
-        # Write to file and make sure the directory exists.
-        os.makedirs(result_dir, exist_ok=True)
-        with open(
-            os.path.join(
-                result_dir, "{}_{}_systems.json".format(hostname, total_systems)
-            ),
-            "w",
-        ) as f:
-            f.write(json.dumps(result_dict, indent=4))
diff --git a/tests/scaling/scaling_plots/speedup_scaling_Astro1.eps b/tests/scaling/scaling_plots/speedup_scaling_Astro1.eps
deleted file mode 100644
index db04cdb492269bb70a5f374dd791b1b24f254d19..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_plots/speedup_scaling_Astro1.eps
+++ /dev/null
@@ -1,2382 +0,0 @@
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diff --git a/tests/scaling/scaling_plots/total_time_scaling_Astro1.pdf b/tests/scaling/scaling_plots/total_time_scaling_Astro1.pdf
deleted file mode 100644
index da2dc313ee909ecdb3c37c12ac67a4b548c6c1ca..0000000000000000000000000000000000000000
Binary files a/tests/scaling/scaling_plots/total_time_scaling_Astro1.pdf and /dev/null differ
diff --git a/tests/scaling/scaling_plots/total_time_scaling_Astro1.png b/tests/scaling/scaling_plots/total_time_scaling_Astro1.png
deleted file mode 100644
index f9d490fa0c303edcc90ec78a867a62a460614bd8..0000000000000000000000000000000000000000
Binary files a/tests/scaling/scaling_plots/total_time_scaling_Astro1.png and /dev/null differ
diff --git a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_100_systems.json b/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_100_systems.json
deleted file mode 100644
index cda34fb1607e42f5a893975d7742d15cae740b46..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_100_systems.json
+++ /dev/null
@@ -1 +0,0 @@
-{"amt_systems": 100, "linear": [19.72011685371399, 19.587830066680908, 19.708610773086548, 19.45118284225464, 20.126941442489624], "mp": {"1": [18.83211064338684, 17.930497884750366, 17.592474222183228, 19.59392213821411, 17.999958276748657], "2": [9.893681287765503, 9.778665542602539, 9.639752388000488, 9.601866722106934, 9.518643379211426], "3": [8.624024391174316, 8.044230937957764, 7.8276495933532715, 8.299225568771362, 8.205702066421509], "4": [8.024757623672485, 8.07252287864685, 7.411813259124756, 7.60955548286438, 7.499555349349976]}}
\ No newline at end of file
diff --git a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_200_systems.json b/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_200_systems.json
deleted file mode 100644
index 2ec5e535e94d686ad897976e5ffcf8cd1b229c69..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_200_systems.json
+++ /dev/null
@@ -1,24 +0,0 @@
-{
-    "amt_systems": 200,
-    "hostname": "david-Lenovo-IdeaPad-S340-14IWL",
-    "amt_logical_cores": 4,
-    "amt_of_physical_cores": 2,
-    "testcase": "linear vs MP batched",
-    "linear": [
-        16.011094570159912
-    ],
-    "mp": {
-        "1": [
-            14.876800060272217
-        ],
-        "2": [
-            8.265092372894287
-        ],
-        "3": [
-            9.207342624664307
-        ],
-        "4": [
-            8.85547423362732
-        ]
-    }
-}
\ No newline at end of file
diff --git a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_2500_systems.json b/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_2500_systems.json
deleted file mode 100644
index 3c1be948716bfe135295f9d641f3e84382ab7747..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_results/david-Lenovo-IdeaPad-S340-14IWL_2500_systems.json
+++ /dev/null
@@ -1 +0,0 @@
-{"amt_systems": 2500, "linear": [535.2446541786194, 531.679586648941, 503.9523551464081, 516.4467158317566, 419.0196635723114], "mp": {"1": [324.1483242511749, 324.7180655002594, 308.04840874671936, 320.5808265209198, 269.06056094169617], "2": [198.5036120414734, 200.80192279815674, 200.7008581161499, 201.11187481880188, 195.4440987110138], "3": [177.40493178367615, 185.3030173778534, 185.9845471382141, 167.43135380744934, 176.51506352424622], "4": [168.93674492835999, 170.39990496635437, 170.85545444488525, 166.5380687713623, 154.52895426750183]}}
\ No newline at end of file
diff --git a/tests/scaling/scaling_results/speedup_scaling_Example.pdf b/tests/scaling/scaling_results/speedup_scaling_Example.pdf
deleted file mode 100644
index a7cd4fe2086a19953427c09d82dd38a5bb63aac5..0000000000000000000000000000000000000000
Binary files a/tests/scaling/scaling_results/speedup_scaling_Example.pdf and /dev/null differ
diff --git a/tests/scaling/scaling_results/speedup_scaling_Example.png b/tests/scaling/scaling_results/speedup_scaling_Example.png
deleted file mode 100644
index 20859bdc4cf27d5fa19c60c82513460cf9e828f1..0000000000000000000000000000000000000000
Binary files a/tests/scaling/scaling_results/speedup_scaling_Example.png and /dev/null differ
diff --git a/tests/scaling/scaling_script.py b/tests/scaling/scaling_script.py
deleted file mode 100644
index 6f578243b85ee66dcbf28b268e4311f773bc9174..0000000000000000000000000000000000000000
--- a/tests/scaling/scaling_script.py
+++ /dev/null
@@ -1,82 +0,0 @@
-"""
-This script will test the scaling and performance of the code on your system.
-
-It requires some user input, which you can define at the top of the script after the imports.
-
-The following values should be configured according to your system:
--
-
-It will then run the population you specified, first linearly <amt_repeats> times,
-and then using multiprocessing it will run the population <amt_repeats> times each time
-with more cores. (Up until <amount_of_cpus>)
-
-TODO: get the real evolution time instead of the total as well
-TODO: put the methods in functions and put them in a different file
-"""
-
-import os
-import json
-import socket
-import psutil
-
-import numpy as np
-
-from binarycpython.utils.grid import Population
-from scaling_functions import (
-    get_mp_results,
-    get_linear_results,
-    run_systems_for_scaling_comparison,
-)
-from plot_scaling import plot_speedup_and_efficiency
-
-settings_dict = {}
-settings_dict[
-    "amt_repeats"
-] = 1  # Number of times the population will be repeated per cpu
-# number. Better do it several times than only run it once
-settings_dict[
-    "resolutions"
-] = [  # List of resolution of sampling of the population. Useful for checking whether population size has an effect on the results
-    {"M_1": 10, "per": 10, "q": 2}
-]
-settings_dict[
-    "result_dir"
-] = "scaling_results"  # Relative of absolute directory where results are writting to
-settings_dict["plot_dir"] = "scaling_plots"  # Directory where the plots will be stored
-settings_dict[
-    "testcase"
-] = "linear vs MP batched"  # 'name' of the calculation. will be used in the plot
-settings_dict[
-    "stepsize_cpus"
-] = 1  # Stepsize for the cpu number generator. Try to keep this
-# low, to get the most reliable results
-settings_dict[
-    "amount_of_cpus"
-] = 4  # Amount of logical cpus the machine has (this is not the same as physical cpus!)
-# settings_dict['amount_of_cpus'] = psutil.cpu_count()
-settings_dict["amount_of_cores"] = 2  # The amount of physical cores. This value
-# is not vital bit will be used in the plot
-# settings_dict['amount_of_cores'] = psutil.cpu_count(logical=False)   # You can also use the psutil function to get
-# the amt of physical cores, but this isnt fully
-# reliable (in mar 2020 it didnt get this value
-# right when there were multiple sockets)
-
-run_systems_for_scaling_comparison(settings_dict)
-#################################
-# Files
-SCALING_RESULT_DIR = settings_dict["result_dir"]
-RESULT_JSONS = [
-    os.path.join(SCALING_RESULT_DIR, file)
-    for file in os.listdir(SCALING_RESULT_DIR)
-    if file.endswith(".json")
-]  # Automatically grab all of the stuff, override it
-
-# FILENAMES = [
-#     "david-Lenovo-IdeaPad-S340-14IWL_100_systems.json",
-#     "david-Lenovo-IdeaPad-S340-14IWL_2500_systems.json"
-# ]
-# RESULT_JSONS = []
-# for filename in FILENAMES:
-#     RESULT_JSONS.append(os.path.join(os.path.abspath(SCALING_RESULT_DIR), filename))
-
-plot_speedup_and_efficiency(RESULT_JSONS, SCALING_RESULT_DIR, "Example")