Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/yaml/representer.py @ 0:26e78fe6e8c4 draft
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author | shellac |
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date | Sat, 02 May 2020 07:14:21 -0400 |
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0
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1 |
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2 __all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer', |
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3 'RepresenterError'] |
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4 |
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5 from .error import * |
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6 from .nodes import * |
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7 |
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8 import datetime, copyreg, types, base64, collections |
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9 |
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10 class RepresenterError(YAMLError): |
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11 pass |
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12 |
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13 class BaseRepresenter: |
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14 |
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15 yaml_representers = {} |
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16 yaml_multi_representers = {} |
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17 |
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18 def __init__(self, default_style=None, default_flow_style=False, sort_keys=True): |
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19 self.default_style = default_style |
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20 self.sort_keys = sort_keys |
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21 self.default_flow_style = default_flow_style |
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22 self.represented_objects = {} |
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23 self.object_keeper = [] |
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24 self.alias_key = None |
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25 |
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26 def represent(self, data): |
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27 node = self.represent_data(data) |
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28 self.serialize(node) |
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29 self.represented_objects = {} |
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30 self.object_keeper = [] |
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31 self.alias_key = None |
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32 |
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33 def represent_data(self, data): |
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34 if self.ignore_aliases(data): |
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35 self.alias_key = None |
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36 else: |
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37 self.alias_key = id(data) |
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38 if self.alias_key is not None: |
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39 if self.alias_key in self.represented_objects: |
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40 node = self.represented_objects[self.alias_key] |
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41 #if node is None: |
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42 # raise RepresenterError("recursive objects are not allowed: %r" % data) |
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43 return node |
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44 #self.represented_objects[alias_key] = None |
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45 self.object_keeper.append(data) |
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46 data_types = type(data).__mro__ |
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47 if data_types[0] in self.yaml_representers: |
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48 node = self.yaml_representers[data_types[0]](self, data) |
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49 else: |
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50 for data_type in data_types: |
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51 if data_type in self.yaml_multi_representers: |
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52 node = self.yaml_multi_representers[data_type](self, data) |
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53 break |
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54 else: |
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55 if None in self.yaml_multi_representers: |
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56 node = self.yaml_multi_representers[None](self, data) |
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57 elif None in self.yaml_representers: |
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58 node = self.yaml_representers[None](self, data) |
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59 else: |
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60 node = ScalarNode(None, str(data)) |
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61 #if alias_key is not None: |
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62 # self.represented_objects[alias_key] = node |
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63 return node |
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64 |
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65 @classmethod |
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66 def add_representer(cls, data_type, representer): |
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67 if not 'yaml_representers' in cls.__dict__: |
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68 cls.yaml_representers = cls.yaml_representers.copy() |
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69 cls.yaml_representers[data_type] = representer |
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70 |
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71 @classmethod |
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72 def add_multi_representer(cls, data_type, representer): |
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73 if not 'yaml_multi_representers' in cls.__dict__: |
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74 cls.yaml_multi_representers = cls.yaml_multi_representers.copy() |
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75 cls.yaml_multi_representers[data_type] = representer |
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76 |
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77 def represent_scalar(self, tag, value, style=None): |
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78 if style is None: |
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79 style = self.default_style |
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80 node = ScalarNode(tag, value, style=style) |
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81 if self.alias_key is not None: |
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82 self.represented_objects[self.alias_key] = node |
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83 return node |
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84 |
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85 def represent_sequence(self, tag, sequence, flow_style=None): |
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86 value = [] |
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87 node = SequenceNode(tag, value, flow_style=flow_style) |
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88 if self.alias_key is not None: |
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89 self.represented_objects[self.alias_key] = node |
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90 best_style = True |
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91 for item in sequence: |
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92 node_item = self.represent_data(item) |
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93 if not (isinstance(node_item, ScalarNode) and not node_item.style): |
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94 best_style = False |
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95 value.append(node_item) |
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96 if flow_style is None: |
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97 if self.default_flow_style is not None: |
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98 node.flow_style = self.default_flow_style |
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99 else: |
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100 node.flow_style = best_style |
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101 return node |
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102 |
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103 def represent_mapping(self, tag, mapping, flow_style=None): |
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104 value = [] |
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105 node = MappingNode(tag, value, flow_style=flow_style) |
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106 if self.alias_key is not None: |
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107 self.represented_objects[self.alias_key] = node |
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108 best_style = True |
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109 if hasattr(mapping, 'items'): |
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110 mapping = list(mapping.items()) |
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111 if self.sort_keys: |
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112 try: |
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113 mapping = sorted(mapping) |
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114 except TypeError: |
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115 pass |
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116 for item_key, item_value in mapping: |
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117 node_key = self.represent_data(item_key) |
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118 node_value = self.represent_data(item_value) |
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119 if not (isinstance(node_key, ScalarNode) and not node_key.style): |
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120 best_style = False |
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121 if not (isinstance(node_value, ScalarNode) and not node_value.style): |
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122 best_style = False |
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123 value.append((node_key, node_value)) |
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124 if flow_style is None: |
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125 if self.default_flow_style is not None: |
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126 node.flow_style = self.default_flow_style |
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127 else: |
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128 node.flow_style = best_style |
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129 return node |
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130 |
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131 def ignore_aliases(self, data): |
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132 return False |
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133 |
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134 class SafeRepresenter(BaseRepresenter): |
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135 |
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136 def ignore_aliases(self, data): |
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137 if data is None: |
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138 return True |
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139 if isinstance(data, tuple) and data == (): |
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140 return True |
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141 if isinstance(data, (str, bytes, bool, int, float)): |
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142 return True |
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143 |
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144 def represent_none(self, data): |
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145 return self.represent_scalar('tag:yaml.org,2002:null', 'null') |
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146 |
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147 def represent_str(self, data): |
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148 return self.represent_scalar('tag:yaml.org,2002:str', data) |
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149 |
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150 def represent_binary(self, data): |
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151 if hasattr(base64, 'encodebytes'): |
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152 data = base64.encodebytes(data).decode('ascii') |
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153 else: |
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154 data = base64.encodestring(data).decode('ascii') |
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155 return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|') |
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156 |
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157 def represent_bool(self, data): |
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158 if data: |
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159 value = 'true' |
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160 else: |
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161 value = 'false' |
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162 return self.represent_scalar('tag:yaml.org,2002:bool', value) |
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163 |
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164 def represent_int(self, data): |
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165 return self.represent_scalar('tag:yaml.org,2002:int', str(data)) |
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166 |
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167 inf_value = 1e300 |
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168 while repr(inf_value) != repr(inf_value*inf_value): |
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169 inf_value *= inf_value |
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170 |
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171 def represent_float(self, data): |
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172 if data != data or (data == 0.0 and data == 1.0): |
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173 value = '.nan' |
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174 elif data == self.inf_value: |
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175 value = '.inf' |
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176 elif data == -self.inf_value: |
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177 value = '-.inf' |
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178 else: |
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179 value = repr(data).lower() |
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180 # Note that in some cases `repr(data)` represents a float number |
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181 # without the decimal parts. For instance: |
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182 # >>> repr(1e17) |
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183 # '1e17' |
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184 # Unfortunately, this is not a valid float representation according |
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185 # to the definition of the `!!float` tag. We fix this by adding |
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186 # '.0' before the 'e' symbol. |
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187 if '.' not in value and 'e' in value: |
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188 value = value.replace('e', '.0e', 1) |
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189 return self.represent_scalar('tag:yaml.org,2002:float', value) |
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190 |
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191 def represent_list(self, data): |
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192 #pairs = (len(data) > 0 and isinstance(data, list)) |
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193 #if pairs: |
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194 # for item in data: |
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195 # if not isinstance(item, tuple) or len(item) != 2: |
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196 # pairs = False |
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197 # break |
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198 #if not pairs: |
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199 return self.represent_sequence('tag:yaml.org,2002:seq', data) |
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200 #value = [] |
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201 #for item_key, item_value in data: |
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202 # value.append(self.represent_mapping(u'tag:yaml.org,2002:map', |
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203 # [(item_key, item_value)])) |
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204 #return SequenceNode(u'tag:yaml.org,2002:pairs', value) |
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205 |
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206 def represent_dict(self, data): |
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207 return self.represent_mapping('tag:yaml.org,2002:map', data) |
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208 |
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209 def represent_set(self, data): |
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210 value = {} |
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211 for key in data: |
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212 value[key] = None |
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213 return self.represent_mapping('tag:yaml.org,2002:set', value) |
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214 |
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215 def represent_date(self, data): |
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216 value = data.isoformat() |
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217 return self.represent_scalar('tag:yaml.org,2002:timestamp', value) |
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218 |
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219 def represent_datetime(self, data): |
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220 value = data.isoformat(' ') |
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221 return self.represent_scalar('tag:yaml.org,2002:timestamp', value) |
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222 |
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223 def represent_yaml_object(self, tag, data, cls, flow_style=None): |
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224 if hasattr(data, '__getstate__'): |
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225 state = data.__getstate__() |
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226 else: |
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227 state = data.__dict__.copy() |
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228 return self.represent_mapping(tag, state, flow_style=flow_style) |
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229 |
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230 def represent_undefined(self, data): |
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231 raise RepresenterError("cannot represent an object", data) |
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232 |
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233 SafeRepresenter.add_representer(type(None), |
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234 SafeRepresenter.represent_none) |
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235 |
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236 SafeRepresenter.add_representer(str, |
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237 SafeRepresenter.represent_str) |
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238 |
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239 SafeRepresenter.add_representer(bytes, |
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240 SafeRepresenter.represent_binary) |
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241 |
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242 SafeRepresenter.add_representer(bool, |
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243 SafeRepresenter.represent_bool) |
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244 |
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245 SafeRepresenter.add_representer(int, |
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246 SafeRepresenter.represent_int) |
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247 |
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248 SafeRepresenter.add_representer(float, |
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249 SafeRepresenter.represent_float) |
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250 |
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251 SafeRepresenter.add_representer(list, |
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252 SafeRepresenter.represent_list) |
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253 |
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254 SafeRepresenter.add_representer(tuple, |
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255 SafeRepresenter.represent_list) |
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256 |
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257 SafeRepresenter.add_representer(dict, |
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258 SafeRepresenter.represent_dict) |
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259 |
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260 SafeRepresenter.add_representer(set, |
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261 SafeRepresenter.represent_set) |
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262 |
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263 SafeRepresenter.add_representer(datetime.date, |
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264 SafeRepresenter.represent_date) |
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265 |
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266 SafeRepresenter.add_representer(datetime.datetime, |
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267 SafeRepresenter.represent_datetime) |
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268 |
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269 SafeRepresenter.add_representer(None, |
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270 SafeRepresenter.represent_undefined) |
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271 |
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272 class Representer(SafeRepresenter): |
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273 |
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274 def represent_complex(self, data): |
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275 if data.imag == 0.0: |
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276 data = '%r' % data.real |
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277 elif data.real == 0.0: |
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278 data = '%rj' % data.imag |
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279 elif data.imag > 0: |
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280 data = '%r+%rj' % (data.real, data.imag) |
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281 else: |
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282 data = '%r%rj' % (data.real, data.imag) |
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283 return self.represent_scalar('tag:yaml.org,2002:python/complex', data) |
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284 |
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285 def represent_tuple(self, data): |
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286 return self.represent_sequence('tag:yaml.org,2002:python/tuple', data) |
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287 |
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288 def represent_name(self, data): |
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289 name = '%s.%s' % (data.__module__, data.__name__) |
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290 return self.represent_scalar('tag:yaml.org,2002:python/name:'+name, '') |
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291 |
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292 def represent_module(self, data): |
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293 return self.represent_scalar( |
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294 'tag:yaml.org,2002:python/module:'+data.__name__, '') |
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295 |
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296 def represent_object(self, data): |
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297 # We use __reduce__ API to save the data. data.__reduce__ returns |
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298 # a tuple of length 2-5: |
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299 # (function, args, state, listitems, dictitems) |
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300 |
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301 # For reconstructing, we calls function(*args), then set its state, |
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302 # listitems, and dictitems if they are not None. |
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303 |
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304 # A special case is when function.__name__ == '__newobj__'. In this |
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305 # case we create the object with args[0].__new__(*args). |
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306 |
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307 # Another special case is when __reduce__ returns a string - we don't |
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308 # support it. |
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309 |
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310 # We produce a !!python/object, !!python/object/new or |
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311 # !!python/object/apply node. |
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312 |
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313 cls = type(data) |
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314 if cls in copyreg.dispatch_table: |
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315 reduce = copyreg.dispatch_table[cls](data) |
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316 elif hasattr(data, '__reduce_ex__'): |
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317 reduce = data.__reduce_ex__(2) |
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318 elif hasattr(data, '__reduce__'): |
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319 reduce = data.__reduce__() |
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320 else: |
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321 raise RepresenterError("cannot represent an object", data) |
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322 reduce = (list(reduce)+[None]*5)[:5] |
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323 function, args, state, listitems, dictitems = reduce |
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324 args = list(args) |
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325 if state is None: |
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326 state = {} |
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327 if listitems is not None: |
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328 listitems = list(listitems) |
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329 if dictitems is not None: |
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330 dictitems = dict(dictitems) |
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331 if function.__name__ == '__newobj__': |
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332 function = args[0] |
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333 args = args[1:] |
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334 tag = 'tag:yaml.org,2002:python/object/new:' |
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335 newobj = True |
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336 else: |
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337 tag = 'tag:yaml.org,2002:python/object/apply:' |
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338 newobj = False |
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339 function_name = '%s.%s' % (function.__module__, function.__name__) |
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340 if not args and not listitems and not dictitems \ |
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341 and isinstance(state, dict) and newobj: |
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342 return self.represent_mapping( |
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343 'tag:yaml.org,2002:python/object:'+function_name, state) |
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344 if not listitems and not dictitems \ |
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345 and isinstance(state, dict) and not state: |
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346 return self.represent_sequence(tag+function_name, args) |
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347 value = {} |
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348 if args: |
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349 value['args'] = args |
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350 if state or not isinstance(state, dict): |
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351 value['state'] = state |
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352 if listitems: |
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353 value['listitems'] = listitems |
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354 if dictitems: |
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355 value['dictitems'] = dictitems |
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356 return self.represent_mapping(tag+function_name, value) |
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357 |
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358 def represent_ordered_dict(self, data): |
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359 # Provide uniform representation across different Python versions. |
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360 data_type = type(data) |
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361 tag = 'tag:yaml.org,2002:python/object/apply:%s.%s' \ |
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362 % (data_type.__module__, data_type.__name__) |
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363 items = [[key, value] for key, value in data.items()] |
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364 return self.represent_sequence(tag, [items]) |
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365 |
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366 Representer.add_representer(complex, |
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367 Representer.represent_complex) |
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368 |
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369 Representer.add_representer(tuple, |
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370 Representer.represent_tuple) |
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371 |
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372 Representer.add_representer(type, |
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373 Representer.represent_name) |
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374 |
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375 Representer.add_representer(collections.OrderedDict, |
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376 Representer.represent_ordered_dict) |
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377 |
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378 Representer.add_representer(types.FunctionType, |
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379 Representer.represent_name) |
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380 |
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381 Representer.add_representer(types.BuiltinFunctionType, |
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382 Representer.represent_name) |
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383 |
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384 Representer.add_representer(types.ModuleType, |
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385 Representer.represent_module) |
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386 |
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387 Representer.add_multi_representer(object, |
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388 Representer.represent_object) |
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389 |