diff --git a/main_package/classes/json_importer.py b/main_package/classes/json_importer.py
index 5f9e097..f57ec6a 100644
--- a/main_package/classes/json_importer.py
+++ b/main_package/classes/json_importer.py
@@ -39,22 +39,27 @@ class JsonImporter(AbstractImporter):
 
     def import_data(self):
         raw_data = self.read_json_file()
+        self.import_variables(raw_data)
         self.import_trajectories(raw_data)
         self.compute_row_delta_in_all_samples_frames(self.time_key)
         self.clear_data_frame_list()
         self.import_structure(raw_data)
-        self.import_variables(raw_data, self.sorter)
+        #self.import_variables(raw_data, self.sorter)
 
     def import_trajectories(self, raw_data: pd.DataFrame):
         self.normalize_trajectories(raw_data, 0, self.samples_label)
 
     def import_structure(self, raw_data: pd.DataFrame):
         self._df_structure = self.one_level_normalizing(raw_data, 0, self.structure_label)
-
-    def import_variables(self, raw_data: pd.DataFrame, sorter: typing.List):
+    #TODO Attenzione l'ordine delle vars non è alfabetico come nel dataset -> agire di conseguenza
+    #Ordinando la vars alfabeticamente
+    def import_variables(self, raw_data: pd.DataFrame):
         self._df_variables = self.one_level_normalizing(raw_data, 0, self.variables_label)
+        self.sorter = self._df_variables[self.variables_key].to_list()
+        self.sorter.sort()
+        print("Sorter:", self.sorter)
         self._df_variables[self.variables_key] = self._df_variables[self.variables_key].astype("category")
-        self._df_variables[self.variables_key] = self._df_variables[self.variables_key].cat.set_categories(sorter)
+        self._df_variables[self.variables_key] = self._df_variables[self.variables_key].cat.set_categories(self.sorter)
         self._df_variables = self._df_variables.sort_values([self.variables_key])
 
     def read_json_file(self) -> typing.List:
@@ -105,7 +110,7 @@ class JsonImporter(AbstractImporter):
         self.df_samples_list = [pd.DataFrame(sample) for sample in raw_data[indx][trajectories_key]]
         #for sample_indx, sample in enumerate(raw_data[indx][trajectories_key]):
             #self.df_samples_list.append(pd.DataFrame(sample))
-        self.sorter = list(self.df_samples_list[0].columns.values)[1:]
+        #self.sorter = list(self.df_samples_list[0].columns.values)[1:] #TODO Qui ci deve essere la colonna NAME ordinata alfabeticamente
 
     def compute_row_delta_sigle_samples_frame(self, sample_frame: pd.DataFrame, time_header_label: str,
                                               columns_header: typing.List, shifted_cols_header: typing.List) \
@@ -122,10 +127,19 @@ class JsonImporter(AbstractImporter):
         #columns_header = list(self.df_samples_list[0].columns.values)
         #self.sorter = columns_header[1:]
         shifted_cols_header = [s + "S" for s in self.sorter]
-        for indx, sample in enumerate(self.df_samples_list):
+        compute_row_delta = self.compute_row_delta_sigle_samples_frame
+        """for indx, sample in enumerate(self.df_samples_list):
             self.df_samples_list[indx] = self.compute_row_delta_sigle_samples_frame(sample,
-                                                        time_header_label, self.sorter, shifted_cols_header)
+                                                        time_header_label, self.sorter, shifted_cols_header)"""
+        self.df_samples_list = [compute_row_delta(sample, time_header_label, self.sorter, shifted_cols_header) for sample in self.df_samples_list]
         self._concatenated_samples = pd.concat(self.df_samples_list)
+        #TODO Attenzione la colonna di indice 0 non è sempre quella del tempo ordinare il daframe concatenato di conseguenza
+        complete_header = self.sorter[:]
+        complete_header.insert(0,'Time')
+        complete_header.extend(shifted_cols_header)
+        print("Complete Header", complete_header)
+        self._concatenated_samples = self._concatenated_samples[complete_header]
+        print("Concat Samples",self._concatenated_samples)
 
     def build_list_of_samples_array(self, data_frame: pd.DataFrame) -> typing.List:
         """
@@ -152,7 +166,7 @@ class JsonImporter(AbstractImporter):
         self._concatenated_samples = self._concatenated_samples.iloc[0:0]
 
     def clear_data_frame_list(self):
-        for indx in range(len(self.df_samples_list)):  # Le singole traj non servono più
+        for indx in range(len(self.df_samples_list)):  # Le singole traj non servono più #TODO usare list comprens
             self.df_samples_list[indx] = self.df_samples_list[indx].iloc[0:0]
 
     def import_sampled_cims(self, raw_data: pd.DataFrame, indx: int, cims_key: str) -> typing.Dict:
diff --git a/main_package/classes/sample_path.py b/main_package/classes/sample_path.py
index 25ba7d5..cbe8ca0 100644
--- a/main_package/classes/sample_path.py
+++ b/main_package/classes/sample_path.py
@@ -51,12 +51,6 @@ class SamplePath:
     def total_variables_count(self):
         return self.total_variables_count
 
-    """def build_possible_values_variables_structure(self):
-        possible_val_list = []
-        print(self.importer.variables)
-        for cardinality in self.importer.variables['Value']:
-            possible_val_list.append(list(range(0, cardinality)))
-        self.possible_variables_values = possible_val_list"""
 
 
 
diff --git a/main_package/classes/structure_estimator.py b/main_package/classes/structure_estimator.py
index eea8f08..ffae169 100644
--- a/main_package/classes/structure_estimator.py
+++ b/main_package/classes/structure_estimator.py
@@ -52,9 +52,12 @@ class StructureEstimator:
             s1 = st.Structure(l1, indxs1, vals1, eds1, tot_vars_count)
             g1 = ng.NetworkGraph(s1)
             g1.init_graph()
+            print("G1 NODES", g1.get_nodes())
+            print("G1 Edges", g1.get_edges())
             p1 = pe.ParametersEstimator(self.sample_path, g1)
             p1.init_sets_cims_container()
             p1.compute_parameters_for_node(test_child)
+            
             sofc1 = p1.sets_of_cims_struct.sets_of_cims[g1.get_positional_node_indx(test_child)]
             if not p_set:
                 self.cache.put(test_child, sofc1)
@@ -86,6 +89,8 @@ class StructureEstimator:
             s2 = st.Structure(l2, indxs2, vals2, eds2, tot_vars_count)
             g2 = ng.NetworkGraph(s2)
             g2.init_graph()
+            print("G2 Nodes", g2.get_nodes())
+            print("G2 Edges", g2.get_edges())
             p2 = pe.ParametersEstimator(self.sample_path, g2)
             p2.init_sets_cims_container()
             p2.compute_parameters_for_node(test_child)
@@ -113,6 +118,8 @@ class StructureEstimator:
         r2s = M2.diagonal()
         C1 = cim1.cim
         C2 = cim2.cim
+        print("C1", C1)
+        print("C2", C2)
         F_stats = C2.diagonal() / C1.diagonal()
         exp_alfa = self.exp_test_sign
         for val in range(0, child_states_numb):
@@ -149,7 +156,7 @@ class StructureEstimator:
         return True
 
     def one_iteration_of_CTPC_algorithm(self, var_id, tot_vars_count):
-        #print("TESTING VAR", var_id)
+        print("TESTING VAR", var_id)
         u = list(self.complete_graph.predecessors(var_id))
         #tests_parents_numb = len(u)
         #complete_frame = self.complete_graph_frame
diff --git a/main_package/classes/trajectory.py b/main_package/classes/trajectory.py
index ec85c5d..b7ce12d 100644
--- a/main_package/classes/trajectory.py
+++ b/main_package/classes/trajectory.py
@@ -17,7 +17,6 @@ class Trajectory:
     def __init__(self, list_of_columns, original_cols_number):
         if type(list_of_columns[0][0]) != np.float64:
             raise TypeError('The first array in the list has to be Times')
-        #TODO valutare se vale la pena ordinare la lista di numpy array per tipo
         self.original_cols_number = original_cols_number
         self._actual_trajectory = np.array(list_of_columns[1:], dtype=np.int).T
         self._times = np.array(list_of_columns[0], dtype=np.float)
diff --git a/main_package/data/esempio_dataset.csv b/main_package/data/esempio_dataset.csv
deleted file mode 100644
index 09f00dd..0000000
--- a/main_package/data/esempio_dataset.csv
+++ /dev/null
@@ -1,1864 +0,0 @@
-,Time,X,Y,Z
-0,0.0,2,2,2
-1,0.0795,1,2,2
-2,0.0979,1,2,1
-3,0.1675,1,1,1
-4,0.2181,1,0,1
-5,0.3233,1,0,2
-6,0.4132,1,1,2
-7,0.5572,1,2,2
-8,0.6689,1,2,0
-9,0.7529,2,2,0
-10,0.8074,1,2,0
-11,0.8133,1,2,2
-12,0.8669,0,2,2
-13,0.9124,0,2,1
-14,0.9892,0,2,2
-15,1.0446,2,2,2
-16,1.0976,0,2,2
-17,1.1542,2,2,2
-18,1.1747,2,0,2
-19,1.1875,1,0,2
-20,1.204,1,1,2
-21,1.2138,1,2,2
-22,1.2627,1,2,0
-23,1.3446,1,1,0
-24,1.3733,1,2,0
-25,1.4162,1,2,1
-26,1.4438,1,1,1
-27,1.4645,0,1,1
-28,1.4807,1,1,1
-29,1.6109,1,0,1
-30,1.6348,2,0,1
-31,1.6714,1,0,1
-32,1.7189,1,2,1
-33,1.733,1,1,1
-34,1.8187,1,0,1
-35,1.8947,1,0,2
-36,1.9035,1,0,1
-37,1.9272,0,0,1
-38,1.9505,0,0,0
-39,2.0831,1,0,0
-40,2.136,1,0,1
-41,2.1623,1,0,2
-42,2.1857,1,0,0
-43,2.4266,1,0,2
-44,2.5518,1,0,1
-45,2.7025,0,0,1
-46,2.8049,0,0,0
-47,2.809,1,0,0
-48,2.8325,1,0,1
-49,2.8831,0,0,1
-50,2.9658,0,1,1
-51,3.1578,0,2,1
-52,3.1846,0,1,1
-53,3.3439,2,1,1
-54,3.3693,0,1,1
-55,3.3985,2,1,1
-56,3.4281,0,1,1
-57,3.4766,0,1,2
-58,3.526,0,2,2
-59,3.5697,0,0,2
-60,3.5974,0,2,2
-61,3.6629,1,2,2
-62,3.7055,1,2,0
-63,3.8235,1,0,0
-64,3.9595,1,2,0
-65,4.0246,1,2,1
-66,4.0262,1,2,2
-67,4.1098,1,1,2
-68,4.2318,1,1,0
-69,4.236,1,1,2
-70,4.2592,1,1,0
-71,4.2707,1,0,0
-72,4.3029,1,0,2
-73,4.3524,1,2,2
-74,4.3749,2,2,2
-75,4.3944,0,2,2
-76,4.4505,1,2,2
-77,4.5283,1,1,2
-78,4.5606,1,2,2
-79,4.5979,1,0,2
-80,4.79,1,2,2
-81,4.967,1,0,2
-82,4.9825,1,2,2
-83,4.9867,1,1,2
-84,5.0395,0,1,2
-85,5.1153,0,2,2
-86,5.1724,0,2,1
-87,5.2174,0,1,1
-88,5.2275,1,1,1
-89,5.255,1,0,1
-90,5.3457,1,1,1
-91,5.3758,1,0,1
-92,5.3988,1,1,1
-93,5.6471,1,1,0
-94,5.6582,1,1,2
-95,5.7239,1,1,0
-96,5.784,1,1,2
-97,5.8513,1,2,2
-98,5.99,1,2,0
-99,6.064,1,2,1
-100,6.1111,1,2,0
-101,6.223,1,2,1
-102,6.2316,1,0,1
-103,6.2572,1,2,1
-104,6.2691,1,1,1
-105,6.2935,1,2,1
-106,6.3944,1,2,0
-107,6.4256,1,1,0
-108,6.4348,1,2,0
-109,6.5102,1,1,0
-110,6.5208,1,2,0
-111,6.545,1,2,1
-112,6.5879,1,0,1
-113,6.6558,1,0,0
-114,6.6972,1,0,1
-115,6.7036,1,2,1
-116,6.713,1,2,0
-117,6.7366,1,2,2
-118,6.7522,1,2,0
-119,6.7586,1,0,0
-120,6.8169,1,2,0
-121,6.8337,1,2,2
-122,6.8463,1,2,1
-123,6.9374,1,1,1
-124,7.0371,1,0,1
-125,7.1873,1,0,2
-126,7.2019,2,0,2
-127,7.2859,2,0,1
-128,7.2957,2,0,2
-129,7.3575,1,0,2
-130,7.5165,1,0,1
-131,7.5863,1,0,2
-132,7.6055,1,0,1
-133,7.8261,1,0,0
-134,7.8353,1,2,0
-135,7.8646,1,1,0
-136,7.9157,1,0,0
-137,8.0518,1,2,0
-138,8.3077,2,2,0
-139,8.3346,2,0,0
-140,8.3875,2,2,0
-141,8.5414,0,2,0
-142,8.5571,0,2,1
-143,8.565,0,1,1
-144,8.6032,0,2,1
-145,8.6114,1,2,1
-146,8.6283,1,2,0
-147,8.6577,1,0,0
-148,8.6618,2,0,0
-149,8.6789,0,0,0
-150,8.7114,1,0,0
-151,8.8288,1,0,1
-152,8.8352,1,0,2
-153,8.8676,1,2,2
-154,8.934,2,2,2
-155,8.9999,2,2,1
-156,9.0146,2,1,1
-157,9.1077,2,1,0
-158,9.1677,2,1,1
-159,9.181,2,1,2
-160,9.2049,2,2,2
-161,9.2426,0,2,2
-162,9.3478,2,2,2
-163,9.4303,0,2,2
-164,9.5705,0,2,0
-165,9.6056,2,2,0
-166,9.6112,0,2,0
-167,9.6117,2,2,0
-168,9.663,1,2,0
-169,9.8987,2,2,0
-170,9.9486,2,0,0
-171,9.9563,0,0,0
-172,10.0293,0,2,0
-173,10.0652,2,2,0
-174,10.0683,0,2,0
-175,10.0895,0,1,0
-176,10.1199,0,0,0
-177,10.1656,2,0,0
-178,10.3267,2,2,0
-179,10.3593,1,2,0
-180,10.3677,1,2,2
-181,10.4038,2,2,2
-182,10.4184,2,1,2
-183,10.4541,2,1,1
-184,10.5078,2,2,1
-185,10.5507,2,1,1
-186,10.6822,1,1,1
-187,10.6895,1,1,0
-188,10.7081,1,0,0
-189,10.7297,1,0,1
-190,10.7299,1,2,1
-191,10.7827,1,2,2
-192,10.8673,1,1,2
-193,10.8734,1,2,2
-194,11.0143,1,2,0
-195,11.1236,1,2,2
-196,11.1941,1,2,0
-197,11.2744,2,2,0
-198,11.284,2,2,2
-199,11.3411,1,2,2
-200,11.4209,1,0,2
-201,11.425,1,1,2
-202,11.5115,1,1,0
-203,11.6297,1,2,0
-204,11.6371,0,2,0
-205,11.6628,1,2,0
-206,11.7306,1,1,0
-207,11.8644,1,2,0
-208,11.8744,2,2,0
-209,12.0028,1,2,0
-210,12.0231,1,0,0
-211,12.0381,1,0,2
-212,12.043,1,0,1
-213,12.0625,1,2,1
-214,12.0993,1,1,1
-215,12.1118,1,1,2
-216,12.1937,1,2,2
-217,12.2106,1,2,0
-218,12.2212,2,2,0
-219,12.2472,2,0,0
-220,12.2803,0,0,0
-221,12.304,0,0,1
-222,12.3087,0,0,2
-223,12.3185,1,0,2
-224,12.3413,1,0,1
-225,12.471,1,2,1
-226,12.6159,2,2,1
-227,12.734,2,0,1
-228,12.787,2,2,1
-229,12.8012,2,2,0
-230,12.8591,2,2,2
-231,12.8924,2,2,0
-232,13.0487,2,1,0
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-234,13.1573,0,2,0
-235,13.2086,0,2,1
-236,13.3017,0,2,2
-237,13.5649,0,2,0
-238,13.6949,0,1,0
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-240,13.7844,2,1,0
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-242,13.9843,1,0,0
-243,13.9857,1,2,0
-244,14.0411,2,2,0
-245,14.1539,2,0,0
-246,14.4909,2,0,1
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-248,14.802,2,0,2
-249,14.9388,2,0,1
-250,14.9523,2,2,1
-251,15.0736,2,1,1
-252,15.1878,2,1,2
-253,15.2382,2,2,2
-254,15.3132,2,1,2
-255,15.3179,2,2,2
-256,15.3212,0,2,2
-257,15.4264,1,2,2
-258,15.6402,2,2,2
-259,15.6767,2,1,2
-260,15.7451,1,1,2
-261,15.7472,1,1,0
-262,15.788,1,1,2
-263,15.7917,1,1,1
-264,15.9557,2,1,1
-265,15.991,2,2,1
-266,16.0447,2,1,1
-267,16.0905,2,2,1
-268,16.1135,2,0,1
-269,16.246,2,0,2
-270,16.2546,0,0,2
-271,16.2986,0,0,1
-272,16.3298,0,2,1
-273,16.3707,0,1,1
-274,16.4046,2,1,1
-275,16.4073,2,1,2
-276,16.4141,2,1,0
-277,16.4351,2,2,0
-278,16.4831,2,1,0
-279,16.5386,2,0,0
-280,16.5466,0,0,0
-281,16.6126,0,0,1
-282,16.6416,0,0,2
-283,16.6434,0,1,2
-284,16.7608,1,1,2
-285,16.8749,1,2,2
-286,16.891,0,2,2
-287,16.892,2,2,2
-288,17.0821,2,1,2
-289,17.1085,0,1,2
-290,17.1594,0,1,1
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-293,17.3458,1,0,2
-294,17.3749,2,0,2
-295,17.4182,2,0,0
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-300,17.5916,0,2,2
-301,17.604,1,2,2
-302,17.7472,1,0,2
-303,17.813,2,0,2
-304,17.8192,2,2,2
-305,17.8344,2,1,2
-306,17.9153,0,1,2
-307,18.0901,0,2,2
-308,18.1454,0,2,1
-309,18.201,0,1,1
-310,18.2141,0,0,1
-311,18.3243,0,2,1
-312,18.3384,0,1,1
-313,18.3472,0,1,0
-314,18.4036,0,0,0
-315,18.409,0,0,1
-316,18.5107,0,2,1
-317,18.5911,1,2,1
-318,18.6044,1,2,2
-319,18.7143,1,0,2
-320,18.7363,1,0,1
-321,18.738,1,0,2
-322,18.8067,2,0,2
-323,18.8258,1,0,2
-324,18.8762,1,0,1
-325,18.8999,1,0,0
-326,18.9042,1,0,1
-327,18.934,1,2,1
-328,18.9645,1,1,1
-329,19.241,1,0,1
-330,19.3245,1,1,1
-331,19.3432,1,0,1
-332,19.3641,1,1,1
-333,19.3711,0,1,1
-334,19.4859,2,1,1
-335,19.537,0,1,1
-336,19.608,0,2,1
-337,19.6275,0,0,1
-338,19.7304,1,0,1
-339,19.7306,1,2,1
-340,19.8026,2,2,1
-341,19.8083,2,1,1
-342,19.843,2,2,1
-343,19.8587,0,2,1
-344,19.9644,0,2,0
-345,20.0163,0,2,1
-346,20.0176,0,2,0
-347,20.0529,1,2,0
-348,20.0739,1,2,2
-349,20.1519,1,2,1
-350,20.388,1,1,1
-351,20.4335,1,0,1
-352,20.4947,1,0,2
-353,20.5781,2,0,2
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diff --git a/main_package/tests/test_structure.py b/main_package/tests/test_structure.py
index 1f0e909..cba79f6 100644
--- a/main_package/tests/test_structure.py
+++ b/main_package/tests/test_structure.py
@@ -107,7 +107,7 @@ class TestStructure(unittest.TestCase):
         sp1 = sp.SamplePath('../data', 'samples', 'dyn.str', 'variables', 'Time', 'Name')
         sp1.build_trajectories()
         sp1.build_structure()
-        st1 = st.Structure(['X', 'Y', 'Z'], np.array([0,1,2]), np.array([3,3,3]), [('X', 'Y'), ('Z', 'Y')], sp1.total_variables_count)
+        st1 = st.Structure(['Y'], np.array([2]), np.array([2]), [], sp1.total_variables_count)
         g1 = ng.NetworkGraph(st1)
         g1.init_graph()
         print(g1.transition_scalar_indexing_structure)
@@ -117,7 +117,7 @@ class TestStructure(unittest.TestCase):
         p1 = pe.ParametersEstimator(sp1,g1)
         p1.init_sets_cims_container()
         p1.compute_parameters_for_node('Y')
-        print(p1.sets_of_cims_struct.sets_of_cims[1].actual_cims)
+        print(p1.sets_of_cims_struct.sets_of_cims[0].actual_cims)
 
 
 if __name__ == '__main__':
diff --git a/main_package/tests/test_structure_estimator.py b/main_package/tests/test_structure_estimator.py
index e6942df..fb30ee9 100644
--- a/main_package/tests/test_structure_estimator.py
+++ b/main_package/tests/test_structure_estimator.py
@@ -31,6 +31,7 @@ class TestStructureEstimator(unittest.TestCase):
         lp.print_stats()
         #se1.ctpc_algorithm()
         print(se1.complete_graph.edges)
+        print(self.s1.structure.list_of_edges())
 
     def aux_test_complete_test(self, estimator, test_par, test_child, p_set):
         estimator.complete_test(test_par, test_child, p_set)