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2C_patterns.md ADDED
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generate_graphs.py ADDED
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+ import os
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+ import matplotlib.pyplot as plt
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+ import matplotlib.patches as patches
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+ import math
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+
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+ os.makedirs('images', exist_ok=True)
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+
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+ candle_types = ['Bull_1', 'Bull_2', 'Bull_3', 'Bull_4', 'Bear_1', 'Bear_2', 'Bear_3', 'Bear_4']
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+
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+ alignments = ['GAP_UP', 'GAP_DOWN', 'ENGULFING', 'HARAMI', 'EQUAL_HIGH', 'EQUAL_LOW', 'MEETING_LINES', 'OVERLAP_UPPER', 'OVERLAP_LOWER', 'PIERCING_CLOUD']
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+
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+ def get_base_candle(c_type, base_y=50.0, body_size=10.0, wick_size=5.0):
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+ half_body = body_size / 2.0
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+ top_body = base_y + half_body
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+ bot_body = base_y - half_body
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+
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+ if c_type == 'Bull_1': # H > C > O > L
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+ return (bot_body, top_body + wick_size, bot_body - wick_size, top_body)
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+ elif c_type == 'Bull_2': # C=H > O > L
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+ return (bot_body, top_body, bot_body - wick_size, top_body)
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+ elif c_type == 'Bull_3': # H > C > O=L
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+ return (bot_body, top_body + wick_size, bot_body, top_body)
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+ elif c_type == 'Bull_4': # C=H > O=L
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+ return (bot_body, top_body, bot_body, top_body)
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+ elif c_type == 'Bear_1': # H > O > C > L
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+ return (top_body, top_body + wick_size, bot_body - wick_size, bot_body)
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+ elif c_type == 'Bear_2': # H > O > C=L
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+ return (top_body, top_body + wick_size, bot_body, bot_body)
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+ elif c_type == 'Bear_3': # H=O > C > L
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+ return (top_body, top_body, bot_body - wick_size, bot_body)
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+ elif c_type == 'Bear_4': # H=O > C=L
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+ return (top_body, top_body, bot_body, bot_body)
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+
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+ def get_c2(type1, align, type2):
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+ c1_body_size = 10.0
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+ c1_wick_size = 5.0
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+ O1, H1, L1, C1 = get_base_candle(type1, 50.0, c1_body_size, c1_wick_size)
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+ top1 = max(O1, C1)
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+ bot1 = min(O1, C1)
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+ mid1 = (O1 + C1) / 2.0
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+
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+ c2_body_size = 10.0
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+ c2_wick_size = 5.0
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+ base_y = 50.0
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+
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+ if align == 'GAP_UP':
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+ base_y = H1 + c2_body_size/2.0 + c2_wick_size + 2.0
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+ elif align == 'GAP_DOWN':
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+ base_y = L1 - c2_body_size/2.0 - c2_wick_size - 2.0
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+ elif align == 'ENGULFING':
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+ c2_body_size = c1_body_size * 1.5
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+ c2_wick_size = c1_wick_size * 1.5
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+ base_y = mid1
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+ elif align == 'HARAMI':
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+ c2_body_size = c1_body_size * 0.5
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+ c2_wick_size = c1_wick_size * 0.5
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+ base_y = mid1
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+ elif align == 'EQUAL_HIGH':
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+ _, H2_test, _, _ = get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)
60
+ base_y = 50.0 + (H1 - H2_test)
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+ elif align == 'EQUAL_LOW':
62
+ _, _, L2_test, _ = get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)
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+ base_y = 50.0 + (L1 - L2_test)
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+ elif align == 'MEETING_LINES':
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+ _, _, _, C2_test = get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)
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+ base_y = 50.0 + (C1 - C2_test)
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+ elif align == 'OVERLAP_UPPER':
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+ base_y = top1
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+ elif align == 'OVERLAP_LOWER':
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+ base_y = bot1
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+ elif align == 'PIERCING_CLOUD':
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+ c2_body_size = 18.0
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+ base_y = mid1 + 4.0
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+
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+ return get_base_candle(type2, base_y, c2_body_size, c2_wick_size)
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+
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+ def is_bullish(O, C): return C > O
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+ def is_bearish(O, C): return C < O
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+
80
+ def determine_standard_name(c1_type, O1, H1, L1, C1, c2_type, O2, H2, L2, C2):
81
+ is_bull1 = is_bullish(O1, C1)
82
+ is_bear1 = is_bearish(O1, C1)
83
+ is_bull2 = is_bullish(O2, C2)
84
+ is_bear2 = is_bearish(O2, C2)
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+
86
+ mid1 = (O1 + C1) / 2.0
87
+ names = []
88
+
89
+ if is_bear1 and is_bull2 and (O2 <= C1 and C2 >= O1) and (O2 < C1 or C2 > O1):
90
+ names.append("Bullish Engulfing")
91
+ elif is_bull1 and is_bear2 and (O2 >= C1 and C2 <= O1) and (O2 > C1 or C2 < O1):
92
+ names.append("Bearish Engulfing")
93
+
94
+ if is_bear1 and is_bull2 and (O2 >= C1 and C2 <= O1) and (O2 > C1 or C2 < O1):
95
+ names.append("Bullish Harami")
96
+ elif is_bull1 and is_bear2 and (O2 <= C1 and C2 >= O1) and (O2 < C1 or C2 > O1):
97
+ names.append("Bearish Harami")
98
+
99
+ if is_bear1 and is_bull2 and O2 < L1 and C2 > mid1 and C2 < O1:
100
+ names.append("Piercing Line")
101
+
102
+ if is_bull1 and is_bear2 and O2 > H1 and C2 < mid1 and C2 > O1:
103
+ names.append("Dark Cloud Cover")
104
+
105
+ if is_bear1 and is_bull2 and O2 > O1 and L2 > H1 and c1_type == 'Bear_4' and c2_type == 'Bull_4':
106
+ names.append("Bullish Kicking")
107
+ if is_bull1 and is_bear2 and O2 < O1 and H2 < L1 and c1_type == 'Bull_4' and c2_type == 'Bear_4':
108
+ names.append("Bearish Kicking")
109
+
110
+ if is_bear1 and is_bull2 and abs(L1 - L2) < 0.05:
111
+ names.append("Tweezer Bottom")
112
+ if is_bull1 and is_bear2 and abs(H1 - H2) < 0.05:
113
+ names.append("Tweezer Top")
114
+
115
+ if is_bear1 and is_bull2 and abs(C1 - C2) < 0.05 and O2 < C1:
116
+ names.append("Bullish Meeting Lines")
117
+ if is_bull1 and is_bear2 and abs(C1 - C2) < 0.05 and O2 > C1:
118
+ names.append("Bearish Meeting Lines")
119
+
120
+ if is_bear1 and is_bull2 and O2 < L1 and C2 < mid1 and C2 > C1:
121
+ names.append("Thrusting")
122
+
123
+ if is_bear1 and is_bull2 and O2 < L1 and abs(C2 - C1) < 0.05:
124
+ names.append("In Neck")
125
+
126
+ if is_bear1 and is_bull2 and O2 < L1 and abs(C2 - L1) < 0.05:
127
+ names.append("On Neck")
128
+
129
+ return ", ".join(names) if names else "-"
130
+
131
+ def draw_candle(ax, x, O, H, L, C):
132
+ color = 'green' if C > O else 'red'
133
+ ax.plot([x, x], [L, H], color=color, linewidth=2)
134
+ top = max(O, C)
135
+ bottom = min(O, C)
136
+ height = top - bottom
137
+ rect = patches.Rectangle((x - 0.3, bottom), 0.6, height, linewidth=1, edgecolor=color, facecolor=color)
138
+ ax.add_patch(rect)
139
+
140
+ def get_pattern_desc(align):
141
+ descriptions = {
142
+ 'GAP_UP': 'C2 completely above C1',
143
+ 'GAP_DOWN': 'C2 completely below C1',
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+ 'ENGULFING': 'C2 body engulfs C1 body',
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+ 'HARAMI': 'C2 body inside C1 body',
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+ 'EQUAL_HIGH': 'Higher shadow matches exactly',
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+ 'EQUAL_LOW': 'Lower shadow matches exactly',
148
+ 'MEETING_LINES': 'Close of C2 matches Close of C1',
149
+ 'OVERLAP_UPPER': 'C2 centered on C1 High/Open',
150
+ 'OVERLAP_LOWER': 'C2 centered on C1 Low/Close',
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+ 'PIERCING_CLOUD': 'Large gap and heavy overlap'
152
+ }
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+ return descriptions.get(align, align)
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+
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+ def get_candle_logic(c_type, suffix):
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+ if c_type == 'Bull_1':
157
+ return f"H{suffix} > C{suffix} & O{suffix} & L{suffix} <br> C{suffix} > O{suffix} & L{suffix} <br> O{suffix} > L{suffix}"
158
+ elif c_type == 'Bull_2':
159
+ return f"(C{suffix} = H{suffix}) > O{suffix} & L{suffix} <br> C{suffix} > O{suffix} & L{suffix} <br> O{suffix} > L{suffix}"
160
+ elif c_type == 'Bull_3':
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+ return f"H{suffix} > C{suffix} & O{suffix} & L{suffix} <br> C{suffix} > O{suffix} & L{suffix} <br> O{suffix} = L{suffix}"
162
+ elif c_type == 'Bull_4':
163
+ return f"(C{suffix} = H{suffix}) > O{suffix} & L{suffix} <br> C{suffix} > O{suffix} & L{suffix} <br> O{suffix} = L{suffix}"
164
+ elif c_type == 'Bear_1':
165
+ return f"L{suffix} < C{suffix} & O{suffix} & H{suffix} <br> C{suffix} < O{suffix} & H{suffix} <br> O{suffix} < H{suffix}"
166
+ elif c_type == 'Bear_2':
167
+ return f"(C{suffix} = L{suffix}) < O{suffix} & H{suffix} <br> C{suffix} < O{suffix} & H{suffix} <br> O{suffix} < H{suffix}"
168
+ elif c_type == 'Bear_3':
169
+ return f"L{suffix} < C{suffix} & O{suffix} & H{suffix} <br> C{suffix} < O{suffix} & H{suffix} <br> O{suffix} = H{suffix}"
170
+ elif c_type == 'Bear_4':
171
+ return f"(C{suffix} = L{suffix}) < O{suffix} & H{suffix} <br> C{suffix} < O{suffix} & H{suffix} <br> O{suffix} = H{suffix}"
172
+ return ""
173
+
174
+ def get_alignment_logic(align):
175
+ if align == 'GAP_UP': return "L_C0 > H_C-1"
176
+ if align == 'GAP_DOWN': return "H_C0 < L_C-1"
177
+ if align == 'ENGULFING': return "(max(O_C0, C_C0) > max(O_C-1, C_C-1)) & (min(O_C0, C_C0) < min(O_C-1, C_C-1))"
178
+ if align == 'HARAMI': return "(max(O_C0, C_C0) < max(O_C-1, C_C-1)) & (min(O_C0, C_C0) > min(O_C-1, C_C-1))"
179
+ if align == 'EQUAL_HIGH': return "H_C0 = H_C-1"
180
+ if align == 'EQUAL_LOW': return "L_C0 = L_C-1"
181
+ if align == 'MEETING_LINES': return "C_C0 = C_C-1"
182
+ if align == 'OVERLAP_UPPER': return "((O_C0 + C_C0) / 2) = max(O_C-1, C_C-1)"
183
+ if align == 'OVERLAP_LOWER': return "((O_C0 + C_C0) / 2) = min(O_C-1, C_C-1)"
184
+ if align == 'PIERCING_CLOUD': return "(O_C0 > H_C-1) & (C_C0 < ((O_C-1 + C_C-1)/2))"
185
+ return ""
186
+
187
+ def get_logic_string(c1_type, align, c2_type):
188
+ lines1 = get_candle_logic(c1_type, "_C-1")
189
+ lines2 = get_candle_logic(c2_type, "_C0")
190
+ align_rule = get_alignment_logic(align)
191
+ return f"{{ <br> {lines1} <br> {lines2} <br> {align_rule} <br> }}"
192
+
193
+ patterns = []
194
+
195
+ # Generate all patterns
196
+ for t1 in candle_types:
197
+ for align in alignments:
198
+ for t2 in candle_types:
199
+ patterns.append((t1, align, t2))
200
+
201
+ total_patterns = len(patterns)
202
+ patterns_per_img = 10
203
+
204
+ markdown_lines = []
205
+ markdown_lines.append("# Complete 2-Candle Patterns")
206
+ markdown_lines.append("")
207
+ markdown_lines.append("| Code_Name | Pattern_Description | Pattern_Logic | Standard_Name | Image Reference |")
208
+ markdown_lines.append("|---|---|---|---|---|")
209
+
210
+ for i in range(0, total_patterns, patterns_per_img):
211
+ batch = patterns[i:i+patterns_per_img]
212
+
213
+ fig, axes = plt.subplots(2, 5, figsize=(20, 8))
214
+ fig.subplots_adjust(hspace=0.4, wspace=0.3)
215
+ axes = axes.flatten()
216
+
217
+ for ax in axes:
218
+ ax.set_visible(False)
219
+
220
+ for j, (t1, align, t2) in enumerate(batch):
221
+ ax = axes[j]
222
+ ax.set_visible(True)
223
+
224
+ O1, H1, L1, C1 = get_base_candle(t1, 50.0, 10.0, 5.0)
225
+ O2, H2, L2, C2 = get_c2(t1, align, t2)
226
+
227
+ draw_candle(ax, 1, O1, H1, L1, C1)
228
+ draw_candle(ax, 2, O2, H2, L2, C2)
229
+
230
+ min_y = min(L1, L2) - 5
231
+ max_y = max(H1, H2) + 5
232
+ ax.set_ylim(min_y, max_y)
233
+ ax.set_xlim(0, 3)
234
+ ax.set_xticks([])
235
+ ax.set_yticks([])
236
+
237
+ code_name = f"{t1}_{align}_{t2}"
238
+ std_name = determine_standard_name(t1, O1, H1, L1, C1, t2, O2, H2, L2, C2)
239
+ desc = get_pattern_desc(align)
240
+
241
+ ax.set_title(f"{code_name}\n({std_name})", fontsize=9)
242
+
243
+ img_name = f"plot_{i//patterns_per_img + 1}.png"
244
+ logic_str = get_logic_string(t1, align, t2)
245
+ markdown_lines.append(f"| {code_name} | {desc} | {logic_str} | {std_name} | {img_name} |")
246
+
247
+ img_path = os.path.join('images', img_name)
248
+ plt.savefig(img_path, bbox_inches='tight')
249
+ plt.close(fig)
250
+
251
+ with open('2C_patterns.md', 'w') as f:
252
+ f.write("\n".join(markdown_lines))
253
+
254
+ print(f"Generated {total_patterns} patterns and saved to images folder. MD written to 2C_patterns.md")
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images/plot_34.png ADDED

Git LFS Details

  • SHA256: 816bd97009658ea8ff111ff2bdb69d35c95da4c35f33eb79323a957366fe2181
  • Pointer size: 130 Bytes
  • Size of remote file: 18.6 kB
images/plot_35.png ADDED

Git LFS Details

  • SHA256: de7bcb90bd47ea30c427d7a7626067ed9152ec22a20023675d264314f5e2f660
  • Pointer size: 130 Bytes
  • Size of remote file: 18 kB
images/plot_36.png ADDED

Git LFS Details

  • SHA256: 8882fd8c0f37e7d75a9fe9d1e26502d73c97c21a2ae89398bf0cea22d8e1a851
  • Pointer size: 130 Bytes
  • Size of remote file: 17 kB
images/plot_37.png ADDED

Git LFS Details

  • SHA256: 4718449586bfc38ea6bc9812fe980a31a592dde51baa45d6fa6e8d0379cae936
  • Pointer size: 130 Bytes
  • Size of remote file: 20 kB
images/plot_38.png ADDED

Git LFS Details

  • SHA256: 63ce34ca2fb8f5b818777bb7d548d7bf40ab62dfaf3ccbb6ac2681a76269e1ef
  • Pointer size: 130 Bytes
  • Size of remote file: 18 kB
images/plot_39.png ADDED

Git LFS Details

  • SHA256: e72ec27b0d426d2a0aa34c00187ddb17db9715a657c37613f71a7b5c55f9d5bd
  • Pointer size: 130 Bytes
  • Size of remote file: 18.8 kB
images/plot_4.png ADDED

Git LFS Details

  • SHA256: a51873b26e17414dd95ac61d0aeed6300be2ccc60351bc30c553367c47ae31ab
  • Pointer size: 130 Bytes
  • Size of remote file: 17.8 kB
images/plot_40.png ADDED

Git LFS Details

  • SHA256: 09fb895d854904c757251b5c7b8f9b9bbda5143e920f83b1f71aad6f1ddbb3c0
  • Pointer size: 130 Bytes
  • Size of remote file: 21.7 kB
images/plot_41.png ADDED

Git LFS Details

  • SHA256: b959a766ee8244241e85b31182af6bd4490b5ea2aea170321376cca03610c86e
  • Pointer size: 130 Bytes
  • Size of remote file: 16 kB
images/plot_42.png ADDED

Git LFS Details

  • SHA256: 3ccd078be3d60605c09a6f86804ee8810537dbcf4c2f857a40b01c402e4e57a6
  • Pointer size: 130 Bytes
  • Size of remote file: 18.6 kB
images/plot_43.png ADDED

Git LFS Details

  • SHA256: 210bf458dc8cece73375eed6aff5cc5459e7542d5a78ee416d8a03a2ad2f6f9b
  • Pointer size: 130 Bytes
  • Size of remote file: 20.1 kB
images/plot_44.png ADDED

Git LFS Details

  • SHA256: f491d7c9e1ee64e8515f0a7e41c6444bece1da176de9361231aff57b44e978d6
  • Pointer size: 130 Bytes
  • Size of remote file: 17.4 kB
images/plot_45.png ADDED

Git LFS Details

  • SHA256: cfe2546a5ccb6ff399c0671a8ab9022f1ddad52371374fa05715220a4e47996e
  • Pointer size: 130 Bytes
  • Size of remote file: 21.1 kB
images/plot_46.png ADDED

Git LFS Details

  • SHA256: 08e280882daf34e08678e95807a45cf26658c37af53ace2f890af280bd0a5c87
  • Pointer size: 130 Bytes
  • Size of remote file: 20.1 kB
images/plot_47.png ADDED

Git LFS Details

  • SHA256: 33bd850aee4c252155e08f080ed92a2e519843182ca47bb943ad4809c6e19cc8
  • Pointer size: 130 Bytes
  • Size of remote file: 17.6 kB
images/plot_48.png ADDED

Git LFS Details

  • SHA256: 960b2ea55bb7fc3b809d094f065f590a9e11a5ce4a52c3c7169a1dfaeead1bfc
  • Pointer size: 130 Bytes
  • Size of remote file: 23.5 kB
images/plot_49.png ADDED

Git LFS Details

  • SHA256: e1d363954e8ad59dd41f8915a9d47485bfc665bee98a14d35a7387f36ad1e5dd
  • Pointer size: 130 Bytes
  • Size of remote file: 16.1 kB
images/plot_5.png ADDED

Git LFS Details

  • SHA256: 3acdd6558c26978b2e8fc0238cdbd1f0f0d60863be4bed8efef78967ec95064c
  • Pointer size: 130 Bytes
  • Size of remote file: 16.8 kB
images/plot_50.png ADDED

Git LFS Details

  • SHA256: 615301192c7419c54199860b915f7b5216af79a19c21baee45d6ac9f26a81b87
  • Pointer size: 130 Bytes
  • Size of remote file: 18.7 kB
images/plot_51.png ADDED

Git LFS Details

  • SHA256: ed2d5d13c4a72d5ebdfe531d47b282d30879ca830dc1e1bf3155b9bc2c31f3da
  • Pointer size: 130 Bytes
  • Size of remote file: 18 kB
images/plot_52.png ADDED

Git LFS Details

  • SHA256: f877247a4c94d9191707454f9f04045a7d33d21270f07627a0b9b5cb69e32f10
  • Pointer size: 130 Bytes
  • Size of remote file: 17.4 kB