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129 lines (109 loc) · 2.65 KB
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import itertools
import json
import os.path
import time
import types
import sys
if sys.version_info < (3,0,0):
STRING_TYPES = (str, unicode)
else:
STRING_TYPES = (str,)
COLORS = {
'RESET': "\033[m",
'YELLOW': "\033[1;93m",
'RED': '\033[1;91m',
'GREEN': '\033[1;92m',
}
def green(text):
return colorize('green', text)
def yellow(text):
return colorize('yellow', text)
def red(text):
return colorize('red', text)
def colorize(color, text):
color = color.upper()
return COLORS[color] + text + COLORS['RESET']
def toabs(path):
path = os.path.expanduser(path)
return os.path.abspath(path)
def mkdir(path):
path = toabs(path)
try:
if path != '' and not os.path.exists(path):
os.makedirs(path)
except OSError as e:
if e.errno == 17: # File Exists
time.sleep(0.1)
return mkdir(path)
else:
raise
return path
def sip(iterable, block_size):
"""Sips a fixed size from the iterable."""
ct = 0
block = []
for x in iterable:
ct += 1
block.append(x)
if ct == block_size:
yield block
ct = 0
block = []
if len(block) > 0:
yield block
class NumpyEncoder(json.JSONEncoder):
def default(self, obj):
try:
import numpy as np
except ImportError:
try:
return json.JSONEncoder.default(self, obj)
except TypeError:
if 'numpy' in str(type(obj)):
print(yellow("Type " + str(type(obj)) + " requires a numpy installation to encode. Try `pip install numpy`."))
raise
if isinstance(obj, np.ndarray):
return obj.tolist()
if isinstance(obj, np.integer):
return int(obj)
if isinstance(obj, np.floating):
return float(obj)
return json.JSONEncoder.default(self, obj)
def jsonify(obj, **kwargs):
return json.dumps(obj, cls=NumpyEncoder, **kwargs)
def first(lst):
if isinstance(lst, types.GeneratorType):
return next(lst)
try:
return lst[0]
except TypeError:
return next(iter(lst))
def toiter(obj, is_iter=False):
if isinstance(obj, STRING_TYPES) or isinstance(obj, dict):
if is_iter:
return [ obj ], False
return [ obj ]
try:
iter(obj)
if is_iter:
return obj, True
return obj
except TypeError:
if is_iter:
return [ obj ], False
return [ obj ]
def duplicates(lst):
dupes = []
seen = set()
for elem in lst:
if elem in seen:
dupes.append(elem)
seen.add(elem)
return set(dupes)
def scatter(sequence, n):
"""Scatters elements of ``sequence`` into ``n`` blocks. Returns generator."""
if n < 1:
raise ValueError('n cannot be less than one. Got: ' + str(n))
sequence = list(sequence)
for i in range(n):
yield sequence[i::n]