| 1 | import time |
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| 2 | import logging |
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| 3 | from sas.sascalc.fit import FitHandler |
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| 4 | |
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| 5 | class ConsoleUpdate(FitHandler): |
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| 6 | """ |
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| 7 | Print progress to the console. |
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| 8 | """ |
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| 9 | isbetter = False |
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| 10 | """Record whether results improved since last update""" |
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| 11 | progress_delta = 60 |
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| 12 | """Number of seconds between progress updates""" |
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| 13 | improvement_delta = 5 |
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| 14 | """Number of seconds between improvement updates""" |
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| 15 | def __init__(self, parent, manager=None, |
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| 16 | quiet=False, progress_delta=60, improvement_delta=5): |
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| 17 | """ |
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| 18 | If quiet is true, only print out final summary, not progress and |
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| 19 | improvements. |
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| 20 | |
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| 21 | :attr parent: the object that handle the messages |
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| 22 | |
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| 23 | """ |
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| 24 | self.parent = parent |
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| 25 | self.manager = manager |
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| 26 | self.progress_time = time.time() |
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| 27 | self.progress_percent = 0 |
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| 28 | self.improvement_time = self.progress_time |
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| 29 | self.isbetter = False |
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| 30 | self.quiet = quiet |
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| 31 | self.progress_delta = progress_delta |
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| 32 | self.improvement_delta = improvement_delta |
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| 33 | self.elapsed_time = time.time() |
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| 34 | self.update_duration = time.time() |
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| 35 | self.fit_duration = 0 |
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| 36 | |
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| 37 | |
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| 38 | def progress(self, k, n): |
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| 39 | """ |
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| 40 | Report on progress. |
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| 41 | """ |
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| 42 | if self.quiet: return |
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| 43 | |
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| 44 | t = time.time() |
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| 45 | p = int((100 * k) // n) |
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| 46 | |
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| 47 | # Show improvements if there are any |
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| 48 | dt = t - self.improvement_time |
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| 49 | if self.isbetter and dt > self.improvement_delta: |
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| 50 | #self.result.print_summary() |
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| 51 | self.update_fit() |
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| 52 | self.isbetter = False |
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| 53 | self.improvement_time = t |
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| 54 | |
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| 55 | # Update percent complete |
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| 56 | dp = p - self.progress_percent |
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| 57 | if dp < 1: return |
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| 58 | dt = t - self.progress_time |
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| 59 | if dt > self.progress_delta: |
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| 60 | if 1 <= dp <= 2: |
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| 61 | self.progress_percent = p |
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| 62 | self.progress_time = t |
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| 63 | self.update_fit() |
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| 64 | elif 2 < dp <= 5: |
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| 65 | if p // 5 != self.progress_percent // 5: |
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| 66 | self.progress_percent = p |
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| 67 | self.progress_time = t |
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| 68 | else: |
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| 69 | if p // 10 != self.progress_percent // 10: |
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| 70 | self.progress_percent = p |
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| 71 | self.progress_time = t |
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| 72 | self.update_fit() |
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| 73 | |
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| 74 | def improvement(self): |
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| 75 | """ |
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| 76 | Called when a result is observed which is better than previous |
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| 77 | results from the fit. |
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| 78 | """ |
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| 79 | self.isbetter = True |
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| 80 | |
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| 81 | def print_result(self): |
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| 82 | """ |
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| 83 | Print result object |
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| 84 | """ |
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| 85 | msg = " \n %s \n" % str(self.result) |
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| 86 | logging.info(msg) |
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| 87 | |
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| 88 | def error(self, msg): |
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| 89 | """ |
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| 90 | Model had an error; print traceback |
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| 91 | """ |
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| 92 | if self.isbetter: |
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| 93 | self.update_fit() |
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| 94 | |
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| 95 | message = str(msg) + " \n %s \n" % self.result.__str__() |
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| 96 | logging.error(message) |
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| 97 | |
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| 98 | def stop(self, msg): |
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| 99 | """ |
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| 100 | Post event msg and stop |
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| 101 | """ |
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| 102 | if self.isbetter: |
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| 103 | self.update_fit() |
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| 104 | |
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| 105 | message = str(msg) + " \n %s \n" % self.result.__str__() |
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| 106 | logging.info(message) |
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| 107 | |
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| 108 | def finalize(self): |
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| 109 | """ |
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| 110 | """ |
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| 111 | if self.isbetter: |
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| 112 | self.update_fit() |
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| 113 | |
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| 114 | def abort(self): |
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| 115 | """ |
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| 116 | """ |
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| 117 | if self.isbetter: |
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| 118 | self.update_fit() |
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| 119 | |
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| 120 | |
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| 121 | def update_fit(self, last=False): |
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| 122 | """ |
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| 123 | """ |
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| 124 | t1 = time.time() |
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| 125 | self.elapsed_time = t1 - self.update_duration |
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| 126 | self.update_duration = t1 |
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| 127 | self.fit_duration += self.elapsed_time |
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| 128 | str_time = time.strftime("%Y-%m-%d %H:%M:%S ", time.localtime(t1)) |
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| 129 | UPDATE_INTERVAL = 5.0 |
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| 130 | u_flag = False |
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| 131 | if self.fit_duration >= UPDATE_INTERVAL: |
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| 132 | self.fit_duration = 0 |
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| 133 | u_flag = True |
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| 134 | msg = str_time |
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| 135 | if u_flag or last: |
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| 136 | if self.result is not None: |
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| 137 | data_name, model_name = None, None |
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| 138 | d_flag = (hasattr(self.result, "data") and \ |
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| 139 | self.result.data is not None and \ |
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| 140 | hasattr(self.result.data, "sas_data") and |
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| 141 | self.result.data.sas_data is not None) |
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| 142 | m_flag = (hasattr(self.result, "model") and \ |
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| 143 | self.result.model is not None) |
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| 144 | if d_flag: |
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| 145 | data_name = self.result.data.sas_data.name |
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| 146 | if m_flag: |
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| 147 | model_name = str(self.result.model.name) |
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| 148 | if m_flag and d_flag: |
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| 149 | msg += "Data : %s \n" % (str(data_name))#, |
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| 150 | #str(model_name)) |
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| 151 | msg += str(self.result) |
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| 152 | msg += "\n" |
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| 153 | else: |
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| 154 | msg += "No result available\n" |
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| 155 | |
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| 156 | logging.info(msg) |
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| 157 | |
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| 158 | def set_result(self, result): |
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| 159 | """ |
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| 160 | """ |
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| 161 | self.result = result |
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| 162 | |
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| 163 | def get_result(self): |
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| 164 | """ |
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| 165 | """ |
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| 166 | return self.result |
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