Add `timestamp` to `Block`s

bitcoin.py

@@ -41,7 +41,10 @@ def getBlockByHeight(height):
     blockHeader = headers[height]
     _hash = int(blockHeader['hash'], 16)
     bits = bits_to_target(int(blockHeader['bits'], 16))
-    block = Block(height, bits, _hash)
+    # How is `mediantime` computed and is it only increasing?
+    # Note that `time` isn't only increasing. Cf https://en.bitcoin.it/wiki/Block_timestamp
+    timestamp = int(blockHeader['time'])
+    block = Block(height, bits, _hash, timestamp)
     return block
 
 def cli(arguments):

block.py

@@ -7,13 +7,14 @@ MINING_IN_LOGARITHMIC_SPACE_CONSTANT_DIFFICULTY_LEVEL = False
 
 class Block:
     # `target` and `_hash` are `int`s.
-    def __init__(self, height, target, _hash):
+    def __init__(self, height, target, _hash, timestamp):
         self.height = height
         self.target = target
         # As penultimate and most minimal difference targets differ only up to the third decimal.
         self.score = round(genesisTarget / target, 4) if IS_EPSILON_TARGET_DEFINITION else genesisTarget - target
         self.level_min = 0
         self.level = level(_hash, target)
+        self.timestamp = timestamp
 
     def __hash__(self):
         return hash((self.height, self.target, self.score, self.level_min, self.level))

mining_in_logarithmic_space.py

@@ -9,7 +9,7 @@ import config
 # Bitcoin parameters
 κ = 256
 
-KEEPING_ALL_BLOCKS_SINCE_LAST_M_HIGHER_BLOCK = True
+KEEPING_ALL_BLOCKS_SINCE_LAST_M_HIGHER_BLOCK = False
 
 # Minimal target difference
 sanityTargetDifferenceThreshold = 0.03408116026637664
@@ -160,6 +160,7 @@ lvls = {}
 targets = []
 compressSize = []
 compressScore = []
+timestamps = []
 
 previous_score = 0
 previous_ℓ = 0
@@ -176,6 +177,7 @@ for height in range(headersNumber):
     targets += [b.target]
     compressSize += [len(Π)]
     compressScore += [previous_score]
+    timestamps += [b.timestamp]
 
     #printTimeSinceLastTimeCheck('block retrieval')
     isLastIteration = height == headersNumber - 1
@@ -210,7 +212,8 @@ for height in range(headersNumber):
 data = {
     'targets': targets,
     'compressSize': compressSize,
-    'compressScore': compressScore
+    'compressScore': compressScore,
+    'timestamps': timestamps
 }
 
 with open('data.json', 'w') as f:

mining_in_logarithmic_space_constant_difficulty.py

@@ -104,6 +104,7 @@ lvls = {}
 targets = []
 compressSize = []
 compressScore = []
+timestamps = []
 
 previous_score = 0
 previous_ℓ = 0
@@ -117,6 +118,7 @@ for height in range(headersNumber):
     targets += [b.target]
     compressSize += [len(Π)]
     compressScore += [previous_score]
+    timestamps += [b.timestamp]
 
     #printTimeSinceLastTimeCheck('block retrieval')
     isLastIteration = height == headersNumber - 1
@@ -151,7 +153,8 @@ for height in range(headersNumber):
 data = {
     'targets': targets,
     'compressSize': compressSize,
-    'compressScore': compressScore
+    'compressScore': compressScore,
+    'timestamps': timestamps
 }
 
 with open('data.json', 'w') as f:

plot_statistics.py

@@ -16,8 +16,9 @@ with open('data_keeping_all_blocks_since_last_m_higher_block.json') as f:
 fig, targetsAxis = plt.subplots()
 fig.subplots_adjust(right = 0.8)
 fig.subplots_adjust(bottom = 0.4)
+compressedSizeAxis = targetsAxis.twinx()
 compressedScoreAxis = targetsAxis.twinx()
-axes = [targetsAxis, targetsAxis.twinx(), compressedScoreAxis, targetsAxis.twinx(), compressedScoreAxis, targetsAxis.twinx(), compressedScoreAxis]
+axes = [targetsAxis, compressedSizeAxis, compressedScoreAxis, targetsAxis.twinx(), compressedScoreAxis, compressedSizeAxis, compressedScoreAxis]
 
 targets = data['targets']