altered spawning model and changed temporal probability on

weight_success

7 files changed, 837 insertions, 359 deletions

diff --git a/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o b/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
index 6235b48..c1e1a40 100644
--- a/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
+++ b/experiments/build/temp.macosx-10.6-x86_64-2.7/ml.o
diff --git a/experiments/ml.c b/experiments/ml.c
index b7bbed6..3c6c463 100644
--- a/experiments/ml.c
+++ b/experiments/ml.c
@@ -759,7 +759,7 @@ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
  */
 typedef npy_cdouble __pyx_t_5numpy_complex_t;
 
-/* "ml.pyx":34
+/* "ml.pyx":37
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -773,7 +773,7 @@ struct __pyx_obj_2ml___pyx_scope_struct__ml {
 };
 
 
-/* "ml.pyx":58
+/* "ml.pyx":61
  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes log(p) - log(\tilde{p})
  *         probs[i] = max(s - failures[l] for l, s in enumerate(successes))             # <<<<<<<<<<<<<<
@@ -871,6 +871,13 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject
 
 static PyObject *__Pyx_GetBuiltinName(PyObject *name);
 
+static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
+static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
+
+static void __Pyx_WriteUnraisable(const char *name, int clineno,
+                                  int lineno, const char *filename,
+                                  int full_traceback);
+
 static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
     Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);
 
@@ -983,9 +990,6 @@ static double __Pyx__PyObject_AsDouble(PyObject* obj);
  PyFloat_AS_DOUBLE(obj) : __Pyx__PyObject_AsDouble(obj))
 #endif
 
-static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb);
-static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb);
-
 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
 
 #if PY_MAJOR_VERSION >= 3
@@ -1054,6 +1058,14 @@ static Py_ssize_t __Pyx_minusones[] = {-1, -1, -1, -1, -1, -1, -1, -1};
 
 static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
 
+static int __Pyx_Print(PyObject*, PyObject *, int);
+#if CYTHON_COMPILING_IN_PYPY || PY_MAJOR_VERSION >= 3
+static PyObject* __pyx_print = 0;
+static PyObject* __pyx_print_kwargs = 0;
+#endif
+
+static int __Pyx_PrintOne(PyObject* stream, PyObject *o);
+
 static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
 
 static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
@@ -1290,12 +1302,14 @@ static char __pyx_k_w1[] = "w1";
 static char __pyx_k_w2[] = "w2";
 static char __pyx_k_w3[] = "w3";
 static char __pyx_k_age[] = "age";
+static char __pyx_k_end[] = "end";
 static char __pyx_k_inf[] = "-inf";
 static char __pyx_k_max[] = "max";
 static char __pyx_k_sum[] = "sum";
 static char __pyx_k_args[] = "args";
 static char __pyx_k_beta[] = "beta";
 static char __pyx_k_dist[] = "dist";
+static char __pyx_k_file[] = "file";
 static char __pyx_k_main[] = "__main__";
 static char __pyx_k_send[] = "send";
 static char __pyx_k_test[] = "__test__";
@@ -1307,6 +1321,7 @@ static char __pyx_k_delta[] = "delta";
 static char __pyx_k_dtype[] = "dtype";
 static char __pyx_k_max_i[] = "max_i";
 static char __pyx_k_numpy[] = "numpy";
+static char __pyx_k_print[] = "print";
 static char __pyx_k_probs[] = "probs";
 static char __pyx_k_range[] = "range";
 static char __pyx_k_roots[] = "roots";
@@ -1334,6 +1349,7 @@ static char __pyx_k_non_victims[] = "non_victims";
 static char __pyx_k_RuntimeError[] = "RuntimeError";
 static char __pyx_k_max_beta_add[] = "max_beta_add";
 static char __pyx_k_root_victims[] = "root_victims";
+static char __pyx_k_UNDERFLOW_ERROR[] = "UNDERFLOW ERROR";
 static char __pyx_k_ml_locals_genexpr[] = "ml.<locals>.genexpr";
 static char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
 static char __pyx_k_Users_ben_Documents_Cascade_Pro[] = "/Users/ben/Documents/Cascade Project/criminal_cascades/experiments/ml.pyx";
@@ -1347,6 +1363,7 @@ static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
 static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
 static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
 static PyObject *__pyx_n_s_RuntimeError;
+static PyObject *__pyx_kp_s_UNDERFLOW_ERROR;
 static PyObject *__pyx_kp_s_Users_ben_Documents_Cascade_Pro;
 static PyObject *__pyx_n_s_ValueError;
 static PyObject *__pyx_n_s_age;
@@ -1360,8 +1377,10 @@ static PyObject *__pyx_n_s_delta;
 static PyObject *__pyx_n_s_dist;
 static PyObject *__pyx_n_s_dt;
 static PyObject *__pyx_n_s_dtype;
+static PyObject *__pyx_n_s_end;
 static PyObject *__pyx_n_s_enumerate;
 static PyObject *__pyx_n_s_failures;
+static PyObject *__pyx_n_s_file;
 static PyObject *__pyx_n_s_float64;
 static PyObject *__pyx_n_s_genexpr;
 static PyObject *__pyx_n_s_i;
@@ -1385,6 +1404,7 @@ static PyObject *__pyx_n_s_non_victims;
 static PyObject *__pyx_n_s_np;
 static PyObject *__pyx_n_s_numpy;
 static PyObject *__pyx_n_s_parents;
+static PyObject *__pyx_n_s_print;
 static PyObject *__pyx_n_s_probs;
 static PyObject *__pyx_n_s_probs_fail;
 static PyObject *__pyx_n_s_probs_nv;
@@ -1466,38 +1486,56 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
   __pyx_t_2ml_DTYPE_t __pyx_v_result;
   __pyx_t_2ml_DTYPE_t __pyx_r;
   __Pyx_RefNannyDeclarations
+  int __pyx_t_1;
+  int __pyx_lineno = 0;
+  const char *__pyx_filename = NULL;
+  int __pyx_clineno = 0;
   __Pyx_RefNannySetupContext("weight_success", 0);
 
   /* "ml.pyx":16
  *     """weight for successful infection, exponential time model"""
  *     cdef DTYPE_t structural, temporal, result
- *     structural = dist * log(delta)             # <<<<<<<<<<<<<<
+ *     structural = delta ** dist             # <<<<<<<<<<<<<<
  *     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
- *     temporal = log(alpha) - alpha * dt
+ *     temporal = exp(-alpha*dt) * (exp(alpha)-1)
  */
-  __pyx_v_structural = (__pyx_v_dist * log(__pyx_v_delta));
+  __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
   /* "ml.pyx":18
- *     structural = dist * log(delta)
+ *     structural = delta ** dist
  *     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
- *     temporal = log(alpha) - alpha * dt             # <<<<<<<<<<<<<<
+ *     temporal = exp(-alpha*dt) * (exp(alpha)-1)             # <<<<<<<<<<<<<<
+ *     if exp(-alpha*dt)==0.: print 'UNDERFLOW ERROR'
  *     # temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
- *     result = structural + temporal
  */
-  __pyx_v_temporal = (log(__pyx_v_alpha) - (__pyx_v_alpha * __pyx_v_dt));
+  __pyx_v_temporal = (exp(((-__pyx_v_alpha) * __pyx_v_dt)) * (exp(__pyx_v_alpha) - 1.0));
 
-  /* "ml.pyx":20
- *     temporal = log(alpha) - alpha * dt
+  /* "ml.pyx":19
+ *     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
+ *     temporal = exp(-alpha*dt) * (exp(alpha)-1)
+ *     if exp(-alpha*dt)==0.: print 'UNDERFLOW ERROR'             # <<<<<<<<<<<<<<
  *     # temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
- *     result = structural + temporal             # <<<<<<<<<<<<<<
- *     return result
- * 
+ *     result = log(structural * temporal)
  */
-  __pyx_v_result = (__pyx_v_structural + __pyx_v_temporal);
+  __pyx_t_1 = ((exp(((-__pyx_v_alpha) * __pyx_v_dt)) == 0.) != 0);
+  if (__pyx_t_1) {
+    if (__Pyx_PrintOne(0, __pyx_kp_s_UNDERFLOW_ERROR) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 19; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    goto __pyx_L3;
+  }
+  __pyx_L3:;
 
   /* "ml.pyx":21
+ *     if exp(-alpha*dt)==0.: print 'UNDERFLOW ERROR'
  *     # temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
- *     result = structural + temporal
+ *     result = log(structural * temporal)             # <<<<<<<<<<<<<<
+ *     # print 'st', structural, temporal
+ *     return result
+ */
+  __pyx_v_result = log((__pyx_v_structural * __pyx_v_temporal));
+
+  /* "ml.pyx":23
+ *     result = log(structural * temporal)
+ *     # print 'st', structural, temporal
  *     return result             # <<<<<<<<<<<<<<
  * 
  * cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,
@@ -1514,12 +1552,15 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_success(int __pyx_v_dist, int __py
  */
 
   /* function exit code */
+  __pyx_L1_error:;
+  __Pyx_WriteUnraisable("ml.weight_success", __pyx_clineno, __pyx_lineno, __pyx_filename, 0);
+  __pyx_r = 0;
   __pyx_L0:;
   __Pyx_RefNannyFinishContext();
   return __pyx_r;
 }
 
-/* "ml.pyx":23
+/* "ml.pyx":25
  *     return result
  * 
  * cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,             # <<<<<<<<<<<<<<
@@ -1535,36 +1576,36 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   __Pyx_RefNannyDeclarations
   __Pyx_RefNannySetupContext("weight_failure", 0);
 
-  /* "ml.pyx":27
+  /* "ml.pyx":29
  *     """weight for failed infection, exponential time model"""
  *     cdef DTYPE_t structural, temporal, result
  *     structural = delta ** dist             # <<<<<<<<<<<<<<
  *     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
- *     temporal = 1. - exp(-alpha * dt)
+ *     temporal = exp(-alpha * dt)
  */
   __pyx_v_structural = pow(__pyx_v_delta, ((__pyx_t_2ml_DTYPE_t)__pyx_v_dist));
 
-  /* "ml.pyx":29
+  /* "ml.pyx":31
  *     structural = delta ** dist
  *     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
- *     temporal = 1. - exp(-alpha * dt)             # <<<<<<<<<<<<<<
+ *     temporal = exp(-alpha * dt)             # <<<<<<<<<<<<<<
  *     # temporal = 1.  - 1. / (1. + dt/alpha)**0.01
- *     result = log(1. - structural * temporal)
+ *     result = log(1. - structural + structural * temporal)
  */
-  __pyx_v_temporal = (1. - exp(((-__pyx_v_alpha) * __pyx_v_dt)));
+  __pyx_v_temporal = exp(((-__pyx_v_alpha) * __pyx_v_dt));
 
-  /* "ml.pyx":31
- *     temporal = 1. - exp(-alpha * dt)
+  /* "ml.pyx":33
+ *     temporal = exp(-alpha * dt)
  *     # temporal = 1.  - 1. / (1. + dt/alpha)**0.01
- *     result = log(1. - structural * temporal)             # <<<<<<<<<<<<<<
+ *     result = log(1. - structural + structural * temporal)             # <<<<<<<<<<<<<<
+ *     # print 'stnv', structural, temporal
  *     return result
- * 
  */
-  __pyx_v_result = log((1. - (__pyx_v_structural * __pyx_v_temporal)));
+  __pyx_v_result = log(((1. - __pyx_v_structural) + (__pyx_v_structural * __pyx_v_temporal)));
 
-  /* "ml.pyx":32
- *     # temporal = 1.  - 1. / (1. + dt/alpha)**0.01
- *     result = log(1. - structural * temporal)
+  /* "ml.pyx":35
+ *     result = log(1. - structural + structural * temporal)
+ *     # print 'stnv', structural, temporal
  *     return result             # <<<<<<<<<<<<<<
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,
@@ -1572,7 +1613,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   __pyx_r = __pyx_v_result;
   goto __pyx_L0;
 
-  /* "ml.pyx":23
+  /* "ml.pyx":25
  *     return result
  * 
  * cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,             # <<<<<<<<<<<<<<
@@ -1586,7 +1627,7 @@ static __pyx_t_2ml_DTYPE_t __pyx_f_2ml_weight_failure(int __pyx_v_dist, int __py
   return __pyx_r;
 }
 
-/* "ml.pyx":34
+/* "ml.pyx":37
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -1634,31 +1675,31 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
         case  1:
         if (likely((values[1] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_victims)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 1); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  2:
         if (likely((values[2] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_non_victims)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 2); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  3:
         if (likely((values[3] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_age)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 3); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  4:
         if (likely((values[4] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_alpha)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 4); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
         case  5:
         if (likely((values[5] = PyDict_GetItem(__pyx_kwds, __pyx_n_s_delta)) != 0)) kw_args--;
         else {
-          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+          __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, 5); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
         }
       }
       if (unlikely(kw_args > 0)) {
-        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "ml") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "ml") < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
       }
     } else if (PyTuple_GET_SIZE(__pyx_args) != 6) {
       goto __pyx_L5_argtuple_error;
@@ -1673,21 +1714,21 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
     __pyx_v_root_victims = ((PyObject*)values[0]);
     __pyx_v_victims = ((PyObject*)values[1]);
     __pyx_v_non_victims = ((PyObject*)values[2]);
-    __pyx_v_age = __pyx_PyFloat_AsDouble(values[3]); if (unlikely((__pyx_v_age == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
-    __pyx_v_alpha = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_alpha == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
-    __pyx_v_delta = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_delta == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 35; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_age = __pyx_PyFloat_AsDouble(values[3]); if (unlikely((__pyx_v_age == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_alpha = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_alpha == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 38; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+    __pyx_v_delta = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_delta == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 38; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
   }
   goto __pyx_L4_argument_unpacking_done;
   __pyx_L5_argtuple_error:;
-  __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
+  __Pyx_RaiseArgtupleInvalid("ml", 1, 6, 6, PyTuple_GET_SIZE(__pyx_args)); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L3_error;}
   __pyx_L3_error:;
   __Pyx_AddTraceback("ml.ml", __pyx_clineno, __pyx_lineno, __pyx_filename);
   __Pyx_RefNannyFinishContext();
   return NULL;
   __pyx_L4_argument_unpacking_done:;
-  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_root_victims), (&PyDict_Type), 1, "root_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_victims), (&PyDict_Type), 1, "victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_non_victims), (&PyDict_Type), 1, "non_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_root_victims), (&PyDict_Type), 1, "root_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_victims), (&PyDict_Type), 1, "victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_non_victims), (&PyDict_Type), 1, "non_victims", 1))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_r = __pyx_pf_2ml_ml(__pyx_self, __pyx_v_root_victims, __pyx_v_victims, __pyx_v_non_victims, __pyx_v_age, __pyx_v_alpha, __pyx_v_delta);
 
   /* function exit code */
@@ -1700,7 +1741,7 @@ static PyObject *__pyx_pw_2ml_1ml(PyObject *__pyx_self, PyObject *__pyx_args, Py
 }
 static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_generator, PyObject *__pyx_sent_value); /* proto */
 
-/* "ml.pyx":58
+/* "ml.pyx":61
  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes log(p) - log(\tilde{p})
  *         probs[i] = max(s - failures[l] for l, s in enumerate(successes))             # <<<<<<<<<<<<<<
@@ -1726,7 +1767,7 @@ static PyObject *__pyx_pf_2ml_2ml_genexpr(PyObject *__pyx_self) {
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   __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
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+    __pyx_GeneratorObject *gen = __Pyx_Generator_New((__pyx_generator_body_t) __pyx_gb_2ml_2ml_2generator, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_ml_locals_genexpr); if (unlikely(!gen)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -1764,16 +1805,16 @@ static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_genera
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   }
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-  if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_successes)) { __Pyx_RaiseClosureNameError("successes"); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} }
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+    __pyx_t_4 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_4); __pyx_t_3++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_failures)) { __Pyx_RaiseClosureNameError("failures"); {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;} }
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = __Pyx_GetItemInt_List(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_failures, __pyx_cur_scope->__pyx_v_l, Py_ssize_t, 1, PyInt_FromSsize_t, 1, 1, 0); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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+    __pyx_t_5 = PyNumber_Subtract(__pyx_cur_scope->__pyx_v_s, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    if (unlikely(!__pyx_sent_value)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -1828,7 +1869,7 @@ static PyObject *__pyx_gb_2ml_2ml_2generator(__pyx_GeneratorObject *__pyx_genera
   return NULL;
 }
 
-/* "ml.pyx":34
+/* "ml.pyx":37
  *     return result
  * 
  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
@@ -1918,7 +1959,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __pyx_pybuffernd_probs_nv.data = NULL;
   __pyx_pybuffernd_probs_nv.rcbuffer = &__pyx_pybuffer_probs_nv;
 
-  /* "ml.pyx":40
+  /* "ml.pyx":43
  *         DTYPE_t beta, ll, beta2
  *         list parents, failures, successes
  *     n_roots, n_victims = len(root_victims), len(victims)             # <<<<<<<<<<<<<<
@@ -1927,18 +1968,18 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_1 = PyDict_Size(__pyx_v_root_victims); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_1 = PyDict_Size(__pyx_v_root_victims); if (unlikely(__pyx_t_1 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
-  __pyx_t_2 = PyDict_Size(__pyx_v_victims); if (unlikely(__pyx_t_2 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 40; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_2 = PyDict_Size(__pyx_v_victims); if (unlikely(__pyx_t_2 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __pyx_v_n_roots = __pyx_t_1;
   __pyx_v_n_victims = __pyx_t_2;
 
-  /* "ml.pyx":41
+  /* "ml.pyx":44
  *         list parents, failures, successes
  *     n_roots, n_victims = len(root_victims), len(victims)
  *     n_nodes = 148152             # <<<<<<<<<<<<<<
@@ -1947,43 +1988,43 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
  */
   __pyx_v_n_nodes = 148152;
 
-  /* "ml.pyx":43
+  /* "ml.pyx":46
  *     n_nodes = 148152
  *     cdef:
  *         np.ndarray[DTYPE_t] probs = np.zeros(n_victims, dtype=DTYPE)             # <<<<<<<<<<<<<<
  *         np.ndarray[DTYPE_t] probs_fail = np.zeros(n_victims, dtype=DTYPE)
  *         np.ndarray[DTYPE_t] probs_nv = np.zeros(len(non_victims), dtype=DTYPE)
  */
-  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_zeros); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_6 = __Pyx_GetModuleGlobalName(__pyx_n_s_DTYPE); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_dtype, __pyx_t_6) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_5, __pyx_t_3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 43; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 46; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":44
+  /* "ml.pyx":47
  *     cdef:
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  *         np.ndarray[DTYPE_t] probs_fail = np.zeros(n_victims, dtype=DTYPE)             # <<<<<<<<<<<<<<
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+  if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 47; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 44; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 47; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":45
+  /* "ml.pyx":48
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  * 
  *     # loop through victims
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+  __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 45; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_DTYPE); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 45; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2084,7 +2125,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-  /* "ml.pyx":48
+  /* "ml.pyx":51
  * 
  *     # loop through victims
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_4 = __Pyx_dict_iterator(__pyx_v_victims, 1, __pyx_n_s_itervalues, (&__pyx_t_1), (&__pyx_t_11)); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    if (unlikely(__pyx_t_12 == -1)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 48; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    if (!(likely(PyList_CheckExact(__pyx_t_4))||((__pyx_t_4) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_4)->tp_name), 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    /* "ml.pyx":52
+    /* "ml.pyx":55
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-    __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_4);
 
-    /* "ml.pyx":53
+    /* "ml.pyx":56
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-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_5, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PySequence_ITEM(__pyx_t_5, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 53; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_14); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_21 = __Pyx_PyInt_As_int(__pyx_t_15); if (unlikely((__pyx_t_21 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
       __pyx_v_dist = __pyx_t_12;
       __pyx_v_dt = __pyx_t_21;
@@ -2221,22 +2262,22 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
       __Pyx_XDECREF_SET(__pyx_v_w3, __pyx_t_18);
       __pyx_t_18 = 0;
 
-      /* "ml.pyx":52
+      /* "ml.pyx":55
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  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)             # <<<<<<<<<<<<<<
  *                     for (dist, dt, w1, w2, w3) in parents]
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-      __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_v_w1); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_23 = __pyx_PyFloat_AsDouble(__pyx_v_w2); if (unlikely((__pyx_t_23 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_failure(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_t_22, __pyx_t_23, __pyx_t_24)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_v_w1); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_23 = __pyx_PyFloat_AsDouble(__pyx_v_w2); if (unlikely((__pyx_t_23 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_failure(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_t_22, __pyx_t_23, __pyx_t_24)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 52; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
 
-      /* "ml.pyx":53
+      /* "ml.pyx":56
  *         # likely parent infects it
  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)
  *                     for (dist, dt, w1, w2, w3) in parents]             # <<<<<<<<<<<<<<
@@ -2250,38 +2291,38 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     __pyx_t_4 = 0;
 
-    /* "ml.pyx":54
+    /* "ml.pyx":57
  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)
  *                     for (dist, dt, w1, w2, w3) in parents]
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  *         successes = [weight_success(dist, dt, alpha, delta, w1, w2, w3)
  *                      for (dist, dt, w1, w2, w3) in parents]
  */
-    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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     __Pyx_INCREF(__pyx_cur_scope->__pyx_v_failures);
     PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_cur_scope->__pyx_v_failures);
     __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_failures);
-    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_sum, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_sum, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
     __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
-    __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    /* "ml.pyx":55
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  *                     for (dist, dt, w1, w2, w3) in parents]
  *         probs_fail[i] = sum(failures)
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  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes log(p) - log(\tilde{p})
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-    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
 
-    /* "ml.pyx":56
+    /* "ml.pyx":59
  *         probs_fail[i] = sum(failures)
  *         successes = [weight_success(dist, dt, alpha, delta, w1, w2, w3)
  *                      for (dist, dt, w1, w2, w3) in parents]             # <<<<<<<<<<<<<<
@@ -2290,15 +2331,15 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     if (unlikely(__pyx_v_parents == Py_None)) {
       PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     }
     __pyx_t_4 = __pyx_v_parents; __Pyx_INCREF(__pyx_t_4); __pyx_t_13 = 0;
     for (;;) {
       if (__pyx_t_13 >= PyList_GET_SIZE(__pyx_t_4)) break;
       #if CYTHON_COMPILING_IN_CPYTHON
-      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       #else
-      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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         PyObject* sequence = __pyx_t_6;
@@ -2310,7 +2351,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2336,7 +2377,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
           Py_ssize_t i;
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           for (i=0; i < 5; i++) {
-            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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             *(temps[i]) = item;
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@@ -2346,7 +2387,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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         PyObject** temps[5] = {&__pyx_t_18,&__pyx_t_17,&__pyx_t_16,&__pyx_t_15,&__pyx_t_14};
-        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
         __Pyx_GOTREF(__pyx_t_19);
         __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
         __pyx_t_20 = Py_TYPE(__pyx_t_19)->tp_iternext;
@@ -2355,7 +2396,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
         __pyx_t_20 = NULL;
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@@ -2363,12 +2404,12 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
         __pyx_L12_unpacking_done:;
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-      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_18); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_18); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
-      __pyx_t_25 = __Pyx_PyInt_As_int(__pyx_t_17); if (unlikely((__pyx_t_25 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 56; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_25 = __Pyx_PyInt_As_int(__pyx_t_17); if (unlikely((__pyx_t_25 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 59; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
       __pyx_v_dist = __pyx_t_12;
       __pyx_v_dt = __pyx_t_25;
@@ -2379,22 +2420,22 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
       __Pyx_XDECREF_SET(__pyx_v_w3, __pyx_t_14);
       __pyx_t_14 = 0;
 
-      /* "ml.pyx":55
+      /* "ml.pyx":58
  *                     for (dist, dt, w1, w2, w3) in parents]
  *         probs_fail[i] = sum(failures)
  *         successes = [weight_success(dist, dt, alpha, delta, w1, w2, w3)             # <<<<<<<<<<<<<<
  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes log(p) - log(\tilde{p})
  */
-      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w1); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_23 = __pyx_PyFloat_AsDouble(__pyx_v_w2); if (unlikely((__pyx_t_23 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_success(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_t_24, __pyx_t_23, __pyx_t_22)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w1); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_23 = __pyx_PyFloat_AsDouble(__pyx_v_w2); if (unlikely((__pyx_t_23 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_success(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_t_24, __pyx_t_23, __pyx_t_22)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 55; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
 
-      /* "ml.pyx":56
+      /* "ml.pyx":59
  *         probs_fail[i] = sum(failures)
  *         successes = [weight_success(dist, dt, alpha, delta, w1, w2, w3)
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@@ -2408,24 +2449,24 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    /* "ml.pyx":58
+    /* "ml.pyx":61
  *                      for (dist, dt, w1, w2, w3) in parents]
  *         # find parent that maximizes log(p) - log(\tilde{p})
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-    __pyx_t_5 = __pyx_pf_2ml_2ml_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = __pyx_pf_2ml_2ml_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_max, __pyx_t_4, NULL); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2433,7 +2474,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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   __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
 
-  /* "ml.pyx":61
+  /* "ml.pyx":64
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@@ -2444,9 +2485,9 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_5 = __Pyx_dict_iterator(__pyx_v_non_victims, 1, __pyx_n_s_itervalues, (&__pyx_t_2), (&__pyx_t_11)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = __Pyx_dict_iterator(__pyx_v_non_victims, 1, __pyx_n_s_itervalues, (&__pyx_t_2), (&__pyx_t_11)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __Pyx_XDECREF(__pyx_t_3);
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@@ -2454,25 +2495,25 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+    if (!(likely(PyList_CheckExact(__pyx_t_5))||((__pyx_t_5) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_5)->tp_name), 0))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    /* "ml.pyx":64
+    /* "ml.pyx":67
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-    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_GOTREF(__pyx_t_5);
 
-    /* "ml.pyx":65
+    /* "ml.pyx":68
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  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)
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@@ -2481,15 +2522,15 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     if (unlikely(__pyx_v_parents == Py_None)) {
       PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
-      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 65; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_6 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_13); __Pyx_INCREF(__pyx_t_6); __pyx_t_13++; if (unlikely(0 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 65; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PySequence_ITEM(__pyx_t_4, __pyx_t_13); __pyx_t_13++; if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 65; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+          {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2527,7 +2568,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+            PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2537,7 +2578,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+        __pyx_t_19 = PyObject_GetIter(__pyx_t_6); if (unlikely(!__pyx_t_19)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2546,7 +2587,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+        if (__Pyx_IternextUnpackEndCheck(__pyx_t_20(__pyx_t_19), 5) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2554,12 +2595,12 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 65; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+        {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_12 = __Pyx_PyInt_As_int(__pyx_t_14); if (unlikely((__pyx_t_12 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_26 = __Pyx_PyInt_As_int(__pyx_t_15); if (unlikely((__pyx_t_26 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 68; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
       __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
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@@ -2570,22 +2611,22 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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       __pyx_t_18 = 0;
 
-      /* "ml.pyx":64
+      /* "ml.pyx":67
  *         # for each non victim node, compute the probability that all its
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  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)             # <<<<<<<<<<<<<<
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-      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+      __pyx_t_22 = __pyx_PyFloat_AsDouble(__pyx_v_w1); if (unlikely((__pyx_t_22 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_23 = __pyx_PyFloat_AsDouble(__pyx_v_w2); if (unlikely((__pyx_t_23 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_v_w3); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __pyx_t_6 = PyFloat_FromDouble(__pyx_f_2ml_weight_failure(__pyx_v_dist, __pyx_v_dt, __pyx_v_alpha, __pyx_v_delta, __pyx_t_22, __pyx_t_23, __pyx_t_24)); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 64; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_t_6))) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 67; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-      /* "ml.pyx":65
+      /* "ml.pyx":68
  *         # parents fail to infect it
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@@ -2599,22 +2640,22 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    /* "ml.pyx":66
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  *         failures = [weight_failure(dist, dt, alpha, delta, w1, w2, w3)
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-    __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 66; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_5 = PyTuple_New(1); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_sum, __pyx_t_5, NULL); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_4); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 69; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2622,14 +2663,14 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-  /* "ml.pyx":72
+  /* "ml.pyx":75
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+  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_fail), __pyx_n_s_sum); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 75; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_4);
   __pyx_t_5 = NULL;
   if (CYTHON_COMPILING_IN_CPYTHON && likely(PyMethod_Check(__pyx_t_4))) {
@@ -2642,27 +2683,27 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     }
   }
   if (__pyx_t_5) {
-    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 75; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   } else {
-    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 72; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 75; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   }
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   __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
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+  __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 75; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
   __pyx_v_ll = __pyx_t_24;
 
-  /* "ml.pyx":73
+  /* "ml.pyx":76
  *     #     np.ndarray[DTYPE_t] cums = probs.cumsum()
  *     ll =  probs_fail.sum() # add probability that all edges to victims fail
  *     ll += probs_nv.sum() # add probability that all edges to non_victims fail             # <<<<<<<<<<<<<<
  * 
- *     max_i = -1
+ *     print 'probs', probs
  */
-  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_3);
-  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_nv), __pyx_n_s_sum); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_probs_nv), __pyx_n_s_sum); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __pyx_t_6 = NULL;
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@@ -2675,24 +2716,42 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
     }
   }
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-    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = __Pyx_PyObject_CallNoArg(__pyx_t_5); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 73; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   __pyx_v_ll = __pyx_t_24;
 
-  /* "ml.pyx":75
+  /* "ml.pyx":78
  *     ll += probs_nv.sum() # add probability that all edges to non_victims fail
  * 
+ *     print 'probs', probs             # <<<<<<<<<<<<<<
+ *     max_i = -1
+ *     max_beta_add = float('-inf')
+ */
+  __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 78; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __Pyx_GOTREF(__pyx_t_5);
+  __Pyx_INCREF(__pyx_n_s_probs);
+  PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_n_s_probs);
+  __Pyx_GIVEREF(__pyx_n_s_probs);
+  __Pyx_INCREF(((PyObject *)__pyx_v_probs));
+  PyTuple_SET_ITEM(__pyx_t_5, 1, ((PyObject *)__pyx_v_probs));
+  __Pyx_GIVEREF(((PyObject *)__pyx_v_probs));
+  if (__Pyx_Print(0, __pyx_t_5, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 78; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
+
+  /* "ml.pyx":79
+ * 
+ *     print 'probs', probs
  *     max_i = -1             # <<<<<<<<<<<<<<
  *     max_beta_add = float('-inf')
  *     # iterate over all victim nodes to find the optimal threshold
@@ -2700,20 +2759,20 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
   __Pyx_INCREF(__pyx_int_neg_1);
   __pyx_v_max_i = __pyx_int_neg_1;
 
-  /* "ml.pyx":76
- * 
+  /* "ml.pyx":80
+ *     print 'probs', probs
  *     max_i = -1
  *     max_beta_add = float('-inf')             # <<<<<<<<<<<<<<
  *     # iterate over all victim nodes to find the optimal threshold
  *     for i in xrange(0, n_victims+1, 1):
  */
-  __pyx_t_27 = __Pyx_PyObject_AsDouble(__pyx_kp_s_inf); if (unlikely(__pyx_t_27 == ((double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  __pyx_t_5 = PyFloat_FromDouble(__pyx_t_27); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 76; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_27 = __Pyx_PyObject_AsDouble(__pyx_kp_s_inf); if (unlikely(__pyx_t_27 == ((double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = PyFloat_FromDouble(__pyx_t_27); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 80; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __pyx_v_max_beta_add = __pyx_t_5;
   __pyx_t_5 = 0;
 
-  /* "ml.pyx":78
+  /* "ml.pyx":82
  *     max_beta_add = float('-inf')
  *     # iterate over all victim nodes to find the optimal threshold
  *     for i in xrange(0, n_victims+1, 1):             # <<<<<<<<<<<<<<
@@ -2724,7 +2783,7 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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     __pyx_v_i = __pyx_t_10;
 
-    /* "ml.pyx":79
+    /* "ml.pyx":83
  *     # iterate over all victim nodes to find the optimal threshold
  *     for i in xrange(0, n_victims+1, 1):
  *         roots = n_roots + n_victims - i             # <<<<<<<<<<<<<<
@@ -2733,39 +2792,39 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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-    /* "ml.pyx":80
+    /* "ml.pyx":84
  *     for i in xrange(0, n_victims+1, 1):
  *         roots = n_roots + n_victims - i
  *         beta = float(roots)/float(n_nodes)             # <<<<<<<<<<<<<<
  *         thresh = log(beta/(1.-beta))
- * 
+ *         # print 'thresh:', thresh
  */
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-    /* "ml.pyx":81
+    /* "ml.pyx":85
  *         roots = n_roots + n_victims - i
  *         beta = float(roots)/float(n_nodes)
  *         thresh = log(beta/(1.-beta))             # <<<<<<<<<<<<<<
+ *         # print 'thresh:', thresh
  * 
- *         # add probability for realized edges and subtract probability these edges fail
  */
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-    /* "ml.pyx":84
+    /* "ml.pyx":89
  * 
  *         # add probability for realized edges and subtract probability these edges fail
  *         beta_add = (probs[probs>thresh]).sum()             # <<<<<<<<<<<<<<
+ *         # print 'len(probs[probs>thresh]):', len(probs[probs>thresh])
  *         # add probability for the seeds and non-seeds
- *         beta_add += roots * log(beta) + (n_nodes-roots) * log(1 - beta)
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+    __pyx_t_4 = PyFloat_FromDouble(__pyx_v_thresh); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_3 = PyObject_RichCompare(((PyObject *)__pyx_v_probs), __pyx_t_4, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+    __pyx_t_4 = PyObject_GetItem(((PyObject *)__pyx_v_probs), __pyx_t_3); if (unlikely(__pyx_t_4 == NULL)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;};
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+    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_sum); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -2779,114 +2838,146 @@ static PyObject *__pyx_pf_2ml_ml(CYTHON_UNUSED PyObject *__pyx_self, PyObject *_
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+      __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_3); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 89; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-    /* "ml.pyx":86
- *         beta_add = (probs[probs>thresh]).sum()
+    /* "ml.pyx":92
+ *         # print 'len(probs[probs>thresh]):', len(probs[probs>thresh])
  *         # add probability for the seeds and non-seeds
  *         beta_add += roots * log(beta) + (n_nodes-roots) * log(1 - beta)             # <<<<<<<<<<<<<<
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+    __pyx_t_3 = PyNumber_InPlaceAdd(__pyx_v_beta_add, __pyx_t_5); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 92; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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     __Pyx_DECREF_SET(__pyx_v_beta_add, __pyx_t_3);
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-    /* "ml.pyx":88
+    /* "ml.pyx":94
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  *         if beta_add > max_beta_add:             # <<<<<<<<<<<<<<
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+    __pyx_t_3 = PyObject_RichCompare(__pyx_v_beta_add, __pyx_v_max_beta_add, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 94; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+    __pyx_t_29 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_29 < 0)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 94; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
     __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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-      /* "ml.pyx":89
+      /* "ml.pyx":95
  * 
  *         if beta_add > max_beta_add:
  *             max_i = i             # <<<<<<<<<<<<<<
  *             max_beta_add = beta_add
- * 
+ *             print max_i, max_beta_add
  */
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+      __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_i); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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       __Pyx_DECREF_SET(__pyx_v_max_i, __pyx_t_3);
       __pyx_t_3 = 0;
 
-      /* "ml.pyx":90
+      /* "ml.pyx":96
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  *             max_i = i
  *             max_beta_add = beta_add             # <<<<<<<<<<<<<<
- * 
- *     ll += max_beta_add
+ *             print max_i, max_beta_add
+ *         else:
  */
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       __Pyx_DECREF_SET(__pyx_v_max_beta_add, __pyx_v_beta_add);
+
+      /* "ml.pyx":97
+ *             max_i = i
+ *             max_beta_add = beta_add
+ *             print max_i, max_beta_add             # <<<<<<<<<<<<<<
+ *         else:
+ *             print i
+ */
+      __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __Pyx_GOTREF(__pyx_t_3);
+      __Pyx_INCREF(__pyx_v_max_i);
+      PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_v_max_i);
+      __Pyx_GIVEREF(__pyx_v_max_i);
+      __Pyx_INCREF(__pyx_v_max_beta_add);
+      PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_v_max_beta_add);
+      __Pyx_GIVEREF(__pyx_v_max_beta_add);
+      if (__Pyx_Print(0, __pyx_t_3, 1) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 97; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
       goto __pyx_L21;
     }
+    /*else*/ {
+
+      /* "ml.pyx":99
+ *             print max_i, max_beta_add
+ *         else:
+ *             print i             # <<<<<<<<<<<<<<
+ * 
+ *     ll += max_beta_add
+ */
+      __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_i); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __Pyx_GOTREF(__pyx_t_3);
+      if (__Pyx_PrintOne(0, __pyx_t_3) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 99; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
+    }
     __pyx_L21:;
   }
 
-  /* "ml.pyx":92
- *             max_beta_add = beta_add
+  /* "ml.pyx":101
+ *             print i
  * 
  *     ll += max_beta_add             # <<<<<<<<<<<<<<
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  *     # print n_nodes, n_roots, n_victims, max_i, roots
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+  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_v_max_beta_add); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 92; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_3, __pyx_v_max_beta_add); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_t_24 = __pyx_PyFloat_AsDouble(__pyx_t_5); if (unlikely((__pyx_t_24 == (npy_double)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 101; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
   __pyx_v_ll = __pyx_t_24;
 
-  /* "ml.pyx":93
+  /* "ml.pyx":102
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  *     ll += max_beta_add
  *     roots = n_roots + n_victims - max_i             # <<<<<<<<<<<<<<
  *     # print n_nodes, n_roots, n_victims, max_i, roots
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+  __pyx_t_5 = __Pyx_PyInt_From_int((__pyx_v_n_roots + __pyx_v_n_victims)); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_5);
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+  __pyx_t_3 = PyNumber_Subtract(__pyx_t_5, __pyx_v_max_i); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
-  __pyx_t_10 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 93; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_10 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 102; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
   __pyx_v_roots = __pyx_t_10;
 
-  /* "ml.pyx":95
+  /* "ml.pyx":104
  *     roots = n_roots + n_victims - max_i
  *     # print n_nodes, n_roots, n_victims, max_i, roots
  *     return (beta, roots, ll)             # <<<<<<<<<<<<<<
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+  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_beta); if (unlikely(!__pyx_t_3)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 104; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_roots); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_roots); if (unlikely(!__pyx_t_5)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 104; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_4 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_4 = PyFloat_FromDouble(__pyx_v_ll); if (unlikely(!__pyx_t_4)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 104; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 95; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_6 = PyTuple_New(3); if (unlikely(!__pyx_t_6)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 104; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __Pyx_GIVEREF(__pyx_t_3);
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   __pyx_t_6 = 0;
   goto __pyx_L0;
 
-  /* "ml.pyx":34
+  /* "ml.pyx":37
  *     return result
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   {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1},
+  {&__pyx_kp_s_UNDERFLOW_ERROR, __pyx_k_UNDERFLOW_ERROR, sizeof(__pyx_k_UNDERFLOW_ERROR), 0, 0, 1, 0},
   {&__pyx_kp_s_Users_ben_Documents_Cascade_Pro, __pyx_k_Users_ben_Documents_Cascade_Pro, sizeof(__pyx_k_Users_ben_Documents_Cascade_Pro), 0, 0, 1, 0},
   {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1},
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   {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1},
+  {&__pyx_n_s_end, __pyx_k_end, sizeof(__pyx_k_end), 0, 0, 1, 1},
   {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1},
   {&__pyx_n_s_failures, __pyx_k_failures, sizeof(__pyx_k_failures), 0, 0, 1, 1},
+  {&__pyx_n_s_file, __pyx_k_file, sizeof(__pyx_k_file), 0, 0, 1, 1},
   {&__pyx_n_s_float64, __pyx_k_float64, sizeof(__pyx_k_float64), 0, 0, 1, 1},
   {&__pyx_n_s_genexpr, __pyx_k_genexpr, sizeof(__pyx_k_genexpr), 0, 0, 1, 1},
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   {&__pyx_n_s_parents, __pyx_k_parents, sizeof(__pyx_k_parents), 0, 0, 1, 1},
+  {&__pyx_n_s_print, __pyx_k_print, sizeof(__pyx_k_print), 0, 0, 1, 1},
   {&__pyx_n_s_probs, __pyx_k_probs, sizeof(__pyx_k_probs), 0, 0, 1, 1},
   {&__pyx_n_s_probs_fail, __pyx_k_probs_fail, sizeof(__pyx_k_probs_fail), 0, 0, 1, 1},
   {&__pyx_n_s_probs_nv, __pyx_k_probs_nv, sizeof(__pyx_k_probs_nv), 0, 0, 1, 1},
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 };
 static int __Pyx_InitCachedBuiltins(void) {
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-  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 54; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
-  __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 51; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 57; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   #if PY_MAJOR_VERSION >= 3
-  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 78; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 82; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 78; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_builtin_xrange = __Pyx_GetBuiltinName(__pyx_n_s_xrange); if (!__pyx_builtin_xrange) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 82; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -5355,17 +5450,17 @@ static int __Pyx_InitCachedConstants(void) {
   __Pyx_GOTREF(__pyx_tuple__6);
   __Pyx_GIVEREF(__pyx_tuple__6);
 
-  /* "ml.pyx":34
+  /* "ml.pyx":37
  *     return result
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  * def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,             # <<<<<<<<<<<<<<
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-  __pyx_tuple__7 = PyTuple_Pack(33, __pyx_n_s_root_victims, __pyx_n_s_victims, __pyx_n_s_non_victims, __pyx_n_s_age, __pyx_n_s_alpha, __pyx_n_s_delta, __pyx_n_s_n_roots, __pyx_n_s_n_victims, __pyx_n_s_n_nodes, __pyx_n_s_roots, __pyx_n_s_i, __pyx_n_s_dist, __pyx_n_s_dt, __pyx_n_s_t, __pyx_n_s_l, __pyx_n_s_beta, __pyx_n_s_ll, __pyx_n_s_beta2, __pyx_n_s_parents, __pyx_n_s_failures, __pyx_n_s_successes, __pyx_n_s_probs, __pyx_n_s_probs_fail, __pyx_n_s_probs_nv, __pyx_n_s_max_i, __pyx_n_s_max_beta_add, __pyx_n_s_thresh, __pyx_n_s_beta_add, __pyx_n_s_w1, __pyx_n_s_w2, __pyx_n_s_w3, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_tuple__7 = PyTuple_Pack(33, __pyx_n_s_root_victims, __pyx_n_s_victims, __pyx_n_s_non_victims, __pyx_n_s_age, __pyx_n_s_alpha, __pyx_n_s_delta, __pyx_n_s_n_roots, __pyx_n_s_n_victims, __pyx_n_s_n_nodes, __pyx_n_s_roots, __pyx_n_s_i, __pyx_n_s_dist, __pyx_n_s_dt, __pyx_n_s_t, __pyx_n_s_l, __pyx_n_s_beta, __pyx_n_s_ll, __pyx_n_s_beta2, __pyx_n_s_parents, __pyx_n_s_failures, __pyx_n_s_successes, __pyx_n_s_probs, __pyx_n_s_probs_fail, __pyx_n_s_probs_nv, __pyx_n_s_max_i, __pyx_n_s_max_beta_add, __pyx_n_s_thresh, __pyx_n_s_beta_add, __pyx_n_s_w1, __pyx_n_s_w2, __pyx_n_s_w3, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__7)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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+  __pyx_codeobj__8 = (PyObject*)__Pyx_PyCode_New(6, 0, 33, 0, 0, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__7, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_Users_ben_Documents_Cascade_Pro, __pyx_n_s_ml, 37, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__8)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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@@ -5462,10 +5557,10 @@ PyMODINIT_FUNC PyInit_ml(void)
   /*--- Variable export code ---*/
   /*--- Function export code ---*/
   /*--- Type init code ---*/
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+  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct__ml) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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   __pyx_ptype_2ml___pyx_scope_struct__ml = &__pyx_type_2ml___pyx_scope_struct__ml;
-  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct_1_genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 58; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (PyType_Ready(&__pyx_type_2ml___pyx_scope_struct_1_genexpr) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 61; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
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-  /* "ml.pyx":34
+  /* "ml.pyx":37
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-  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_2ml_1ml, NULL, __pyx_n_s_ml); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_2ml_1ml, NULL, __pyx_n_s_ml); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_GOTREF(__pyx_t_2);
-  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ml, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 34; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
+  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ml, __pyx_t_2) < 0) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 37; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
   __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
 
   /* "ml.pyx":1
@@ -5594,6 +5689,64 @@ static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
     return result;
 }
 
+static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+    PyObject *tmp_type, *tmp_value, *tmp_tb;
+    PyThreadState *tstate = PyThreadState_GET();
+    tmp_type = tstate->curexc_type;
+    tmp_value = tstate->curexc_value;
+    tmp_tb = tstate->curexc_traceback;
+    tstate->curexc_type = type;
+    tstate->curexc_value = value;
+    tstate->curexc_traceback = tb;
+    Py_XDECREF(tmp_type);
+    Py_XDECREF(tmp_value);
+    Py_XDECREF(tmp_tb);
+#else
+    PyErr_Restore(type, value, tb);
+#endif
+}
+static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
+#if CYTHON_COMPILING_IN_CPYTHON
+    PyThreadState *tstate = PyThreadState_GET();
+    *type = tstate->curexc_type;
+    *value = tstate->curexc_value;
+    *tb = tstate->curexc_traceback;
+    tstate->curexc_type = 0;
+    tstate->curexc_value = 0;
+    tstate->curexc_traceback = 0;
+#else
+    PyErr_Fetch(type, value, tb);
+#endif
+}
+
+static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno,
+                                  CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename,
+                                  int full_traceback) {
+    PyObject *old_exc, *old_val, *old_tb;
+    PyObject *ctx;
+    __Pyx_ErrFetch(&old_exc, &old_val, &old_tb);
+    if (full_traceback) {
+        Py_XINCREF(old_exc);
+        Py_XINCREF(old_val);
+        Py_XINCREF(old_tb);
+        __Pyx_ErrRestore(old_exc, old_val, old_tb);
+        PyErr_PrintEx(1);
+    }
+    #if PY_MAJOR_VERSION < 3
+    ctx = PyString_FromString(name);
+    #else
+    ctx = PyUnicode_FromString(name);
+    #endif
+    __Pyx_ErrRestore(old_exc, old_val, old_tb);
+    if (!ctx) {
+        PyErr_WriteUnraisable(Py_None);
+    } else {
+        PyErr_WriteUnraisable(ctx);
+        Py_DECREF(ctx);
+    }
+}
+
 static void __Pyx_RaiseArgtupleInvalid(
     const char* func_name,
     int exact,
@@ -6772,37 +6925,6 @@ bad:
     return (double)-1;
 }
 
-static CYTHON_INLINE void __Pyx_ErrRestore(PyObject *type, PyObject *value, PyObject *tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
-    PyObject *tmp_type, *tmp_value, *tmp_tb;
-    PyThreadState *tstate = PyThreadState_GET();
-    tmp_type = tstate->curexc_type;
-    tmp_value = tstate->curexc_value;
-    tmp_tb = tstate->curexc_traceback;
-    tstate->curexc_type = type;
-    tstate->curexc_value = value;
-    tstate->curexc_traceback = tb;
-    Py_XDECREF(tmp_type);
-    Py_XDECREF(tmp_value);
-    Py_XDECREF(tmp_tb);
-#else
-    PyErr_Restore(type, value, tb);
-#endif
-}
-static CYTHON_INLINE void __Pyx_ErrFetch(PyObject **type, PyObject **value, PyObject **tb) {
-#if CYTHON_COMPILING_IN_CPYTHON
-    PyThreadState *tstate = PyThreadState_GET();
-    *type = tstate->curexc_type;
-    *value = tstate->curexc_value;
-    *tb = tstate->curexc_traceback;
-    tstate->curexc_type = 0;
-    tstate->curexc_value = 0;
-    tstate->curexc_traceback = 0;
-#else
-    PyErr_Fetch(type, value, tb);
-#endif
-}
-
 #if PY_MAJOR_VERSION < 3
 static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
                         CYTHON_UNUSED PyObject *cause) {
@@ -7213,6 +7335,147 @@ bad:
     return module;
 }
 
+#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
+static PyObject *__Pyx_GetStdout(void) {
+    PyObject *f = PySys_GetObject((char *)"stdout");
+    if (!f) {
+        PyErr_SetString(PyExc_RuntimeError, "lost sys.stdout");
+    }
+    return f;
+}
+static int __Pyx_Print(PyObject* f, PyObject *arg_tuple, int newline) {
+    int i;
+    if (!f) {
+        if (!(f = __Pyx_GetStdout()))
+            return -1;
+    }
+    Py_INCREF(f);
+    for (i=0; i < PyTuple_GET_SIZE(arg_tuple); i++) {
+        PyObject* v;
+        if (PyFile_SoftSpace(f, 1)) {
+            if (PyFile_WriteString(" ", f) < 0)
+                goto error;
+        }
+        v = PyTuple_GET_ITEM(arg_tuple, i);
+        if (PyFile_WriteObject(v, f, Py_PRINT_RAW) < 0)
+            goto error;
+        if (PyString_Check(v)) {
+            char *s = PyString_AsString(v);
+            Py_ssize_t len = PyString_Size(v);
+            if (len > 0) {
+                switch (s[len-1]) {
+                    case ' ': break;
+                    case '\f': case '\r': case '\n': case '\t': case '\v':
+                        PyFile_SoftSpace(f, 0);
+                        break;
+                    default:  break;
+                }
+            }
+        }
+    }
+    if (newline) {
+        if (PyFile_WriteString("\n", f) < 0)
+            goto error;
+        PyFile_SoftSpace(f, 0);
+    }
+    Py_DECREF(f);
+    return 0;
+error:
+    Py_DECREF(f);
+    return -1;
+}
+#else
+static int __Pyx_Print(PyObject* stream, PyObject *arg_tuple, int newline) {
+    PyObject* kwargs = 0;
+    PyObject* result = 0;
+    PyObject* end_string;
+    if (unlikely(!__pyx_print)) {
+        __pyx_print = PyObject_GetAttr(__pyx_b, __pyx_n_s_print);
+        if (!__pyx_print)
+            return -1;
+    }
+    if (stream) {
+        kwargs = PyDict_New();
+        if (unlikely(!kwargs))
+            return -1;
+        if (unlikely(PyDict_SetItem(kwargs, __pyx_n_s_file, stream) < 0))
+            goto bad;
+        if (!newline) {
+            end_string = PyUnicode_FromStringAndSize(" ", 1);
+            if (unlikely(!end_string))
+                goto bad;
+            if (PyDict_SetItem(kwargs, __pyx_n_s_end, end_string) < 0) {
+                Py_DECREF(end_string);
+                goto bad;
+            }
+            Py_DECREF(end_string);
+        }
+    } else if (!newline) {
+        if (unlikely(!__pyx_print_kwargs)) {
+            __pyx_print_kwargs = PyDict_New();
+            if (unlikely(!__pyx_print_kwargs))
+                return -1;
+            end_string = PyUnicode_FromStringAndSize(" ", 1);
+            if (unlikely(!end_string))
+                return -1;
+            if (PyDict_SetItem(__pyx_print_kwargs, __pyx_n_s_end, end_string) < 0) {
+                Py_DECREF(end_string);
+                return -1;
+            }
+            Py_DECREF(end_string);
+        }
+        kwargs = __pyx_print_kwargs;
+    }
+    result = PyObject_Call(__pyx_print, arg_tuple, kwargs);
+    if (unlikely(kwargs) && (kwargs != __pyx_print_kwargs))
+        Py_DECREF(kwargs);
+    if (!result)
+        return -1;
+    Py_DECREF(result);
+    return 0;
+bad:
+    if (kwargs != __pyx_print_kwargs)
+        Py_XDECREF(kwargs);
+    return -1;
+}
+#endif
+
+#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION < 3
+static int __Pyx_PrintOne(PyObject* f, PyObject *o) {
+    if (!f) {
+        if (!(f = __Pyx_GetStdout()))
+            return -1;
+    }
+    Py_INCREF(f);
+    if (PyFile_SoftSpace(f, 0)) {
+        if (PyFile_WriteString(" ", f) < 0)
+            goto error;
+    }
+    if (PyFile_WriteObject(o, f, Py_PRINT_RAW) < 0)
+        goto error;
+    if (PyFile_WriteString("\n", f) < 0)
+        goto error;
+    Py_DECREF(f);
+    return 0;
+error:
+    Py_DECREF(f);
+    return -1;
+    /* the line below is just to avoid C compiler
+     * warnings about unused functions */
+    return __Pyx_Print(f, NULL, 0);
+}
+#else
+static int __Pyx_PrintOne(PyObject* stream, PyObject *o) {
+    int res;
+    PyObject* arg_tuple = PyTuple_Pack(1, o);
+    if (unlikely(!arg_tuple))
+        return -1;
+    res = __Pyx_Print(stream, arg_tuple, 1);
+    Py_DECREF(arg_tuple);
+    return res;
+}
+#endif
+
 static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
     const int neg_one = (int) -1, const_zero = 0;
     const int is_unsigned = neg_one > const_zero;
diff --git a/experiments/ml.pyx b/experiments/ml.pyx
index 8dfea70..cc79609 100644
--- a/experiments/ml.pyx
+++ b/experiments/ml.pyx
@@ -13,11 +13,13 @@ cdef DTYPE_t weight_success(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,
                             DTYPE_t w1, DTYPE_t w2, DTYPE_t w3):
     """weight for successful infection, exponential time model"""
     cdef DTYPE_t structural, temporal, result
-    structural = dist * log(delta)
+    structural = delta ** dist
     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
-    temporal = log(alpha) - alpha * dt
+    temporal = exp(-alpha*dt) * (exp(alpha)-1)
+    if exp(-alpha*dt)==0.: print 'UNDERFLOW ERROR'
     # temporal = 1. / (1. + (dt - 1.)/alpha)**0.01 - 1. / (1. + dt/alpha)**0.01
-    result = structural + temporal
+    result = log(structural * temporal)
+    # print 'st', structural, temporal
     return result
 
 cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,
@@ -26,9 +28,10 @@ cdef DTYPE_t weight_failure(int dist, int dt, DTYPE_t alpha, DTYPE_t delta,
     cdef DTYPE_t structural, temporal, result
     structural = delta ** dist
     # structural = plogis(w1,delta) * plogis(w2,delta) * plogis(w3,delta)
-    temporal = 1. - exp(-alpha * dt)
+    temporal = exp(-alpha * dt)
     # temporal = 1.  - 1. / (1. + dt/alpha)**0.01
-    result = log(1. - structural * temporal)
+    result = log(1. - structural + structural * temporal)
+    # print 'stnv', structural, temporal
     return result
 
 def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,
@@ -72,6 +75,7 @@ def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,
     ll =  probs_fail.sum() # add probability that all edges to victims fail
     ll += probs_nv.sum() # add probability that all edges to non_victims fail
 
+    print 'probs', probs
     max_i = -1
     max_beta_add = float('-inf')
     # iterate over all victim nodes to find the optimal threshold
@@ -79,16 +83,20 @@ def ml(dict root_victims, dict victims, dict non_victims, DTYPE_t age,
         roots = n_roots + n_victims - i
         beta = float(roots)/float(n_nodes)
         thresh = log(beta/(1.-beta))
+        # print 'thresh:', thresh
 
         # add probability for realized edges and subtract probability these edges fail
         beta_add = (probs[probs>thresh]).sum()
-        print len(probs[probs>thresh])
+        # print 'len(probs[probs>thresh]):', len(probs[probs>thresh])
         # add probability for the seeds and non-seeds
         beta_add += roots * log(beta) + (n_nodes-roots) * log(1 - beta)
 
         if beta_add > max_beta_add:
             max_i = i
             max_beta_add = beta_add
+            print max_i, max_beta_add
+        else:
+            print i
 
     ll += max_beta_add
     roots = n_roots + n_victims - max_i
diff --git a/experiments/ml.so b/experiments/ml.so
index 687e6fc..59be721 100755
--- a/experiments/ml.so
+++ b/experiments/ml.so
diff --git a/experiments/out.log b/experiments/out.log
index 7651bb5..69fb56d 100644
--- a/experiments/out.log
+++ b/experiments/out.log
@@ -1,50 +1,257 @@
-inf	0.01	0.00728306064042	1079	nan
-inf	0.11	0.00728306064042	1079	nan
-inf	0.21	0.00728306064042	1079	nan
-inf	0.31	0.00728306064042	1079	nan
-inf	0.41	0.00728306064042	1079	nan
-0.01	0.01	0.00728306064042	1079	-7632.33888826
-0.01	0.11	0.00728306064042	1079	-41145.4085812
-0.01	0.21	0.00728306064042	1079	-143816.774349
-0.01	0.31	0.00728306064042	1079	-362824.427206
-0.01	0.41	0.00728306064042	1079	-753873.18328
-0.005	0.01	0.00728306064042	1079	-7578.26678869
-0.005	0.11	0.00728306064042	1079	-39671.6480412
-0.005	0.21	0.00728306064042	1079	-138032.49228
-0.005	0.31	0.00728306064042	1079	-347783.849869
-0.005	0.41	0.00728306064042	1079	-721985.508852
-0.00333333333333	0.01	0.00728306064042	1079	-7522.44276229
-0.00333333333333	0.11	0.00728306064042	1079	-38127.923151
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-0.00333333333333	0.41	0.00728306064042	1079	-688355.043571
-0.0025	0.01	0.00728306064042	1079	-7467.51417822
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-0.0025	0.21	0.00728306064042	1079	-125903.505379
-0.0025	0.31	0.00728306064042	1079	-316183.068106
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-0.002	0.01	0.00728306064042	1079	-7414.70185168
-0.002	0.11	0.00728306064042	1079	-35125.3347484
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-0.002	0.41	0.00728306064042	1079	-622737.297292
-0.00166666666667	0.01	0.00728306064042	1079	-7364.63045747
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-0.00166666666667	0.41	0.00728306064042	1079	-592079.644373
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diff --git a/experiments/plot3d.py b/experiments/plot3d.py
index 64c144d..b99ef61 100644
--- a/experiments/plot3d.py
+++ b/experiments/plot3d.py
@@ -9,7 +9,7 @@ with open("out.log") as fh:
     am = max(values, key=lambda x: x[4])
     am[0] = 1./am[0]
     print am
-    alpha, delta, beta, _ , l = zip(*values)
+    alpha, delta, beta, r , l = zip(*values)
     alpha = 1./np.array(alpha)
 
     fig = plt.figure(figsize=(12, 8))
diff --git a/experiments/process.py b/experiments/process.py
index 68c3507..a432dab 100644
--- a/experiments/process.py
+++ b/experiments/process.py
@@ -9,18 +9,18 @@ from math import exp
 if __name__ == "__main__":
     if len(sys.argv) < 2:
         sys.exit("usage: {0} <file>".format(sys.argv[0]))
-
     root_victims, victims, non_victims, age = load(open(sys.argv[1]))
-    alphas = 1. / np.arange(0., 1000., 100.)  # parameter of the time component
-    deltas = np.arange(0.01, 0.5, 0.1)  # parameter of the structural component
-    with open("out.log", "w") as fh:
-        for alpha, delta in product(alphas, deltas):
-            beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
-            print "\t".join(map(str, [1/alpha, delta, beta, roots, ll]))
-            fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
-            fh.flush()
+    
+    # alphas = 1. / np.arange(1000., 10000., 50.)  # parameter of the time component
+    # deltas = np.arange(0.01, 0.5, 0.03)  # parameter of the structural component
+    # with open("out.log", "w") as fh:
+    #     for alpha, delta in product(alphas, deltas):
+    #         beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
+    #         print "\t".join(map(str, [1/alpha, delta, beta, roots, ll]))
+    #         fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
+    #         fh.flush()
 
-    # alpha = 100.
-    # delta = 0.2
-    # beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
-    # print "\t".join(map(str, [1./alpha, delta, beta, roots, ll]))
\ No newline at end of file
+    alpha = 1/10.
+    delta = 0.28
+    beta, roots, ll = ml(root_victims, victims, non_victims, age, alpha, delta)
+    print "\t".join(map(str, [1./alpha, delta, beta, roots, ll]))
\ No newline at end of file