sequence stringlengths 1.25k 34.6k | code stringlengths 75 8.58k |
|---|---|
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_paren_group'},{'id': '3', 'type': 'parameters', 'children': ['4']},{'id': '4', 'type': 'identifier', 'children': [], 'value': 'par... | def parse_paren_group(paren_string):
def max_depth(s):
depth = 0
max_depth = 0
for c in s:
if c == '(':
depth += 1
max_depth = max(max_depth, depth)
elif c == ')':
depth -= 1
return max_depth
return [max_dep... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'gather_categories'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']},{'id': '4', 'type': 'identifier', 'children': [], 'va... | def gather_categories(imap, header, categories=None):
if categories is None:
return {"default": DataCategory(set(imap.keys()), {})}
cat_ids = [header.index(cat)
for cat in categories if cat in header and "=" not in cat]
table = OrderedDict()
conditions = defaultdict(set)
for i... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'color_mapping'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']},{'id': '4', 'type': 'identifier', 'children': [], '... | def color_mapping(sample_map, header, group_column, color_column=None):
group_colors = OrderedDict()
group_gather = gather_categories(sample_map, header, [group_column])
if color_column is not None:
color_gather = gather_categories(sample_map, header, [color_column])
for group in group_gathe... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '29']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'shuffle_genome'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '12', '15', '16', '19', '22', '23', '26']},{'id': '4', '... | def shuffle_genome(genome, cat, fraction = float(100), plot = True, \
alpha = 0.1, beta = 100000, \
min_length = 1000, max_length = 200000):
header = '>randomized_%s' % (genome.name)
sequence = list(''.join([i[1] for i in parse_fasta(genome)]))
length = len(sequence)
shuffled = []
wh... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'sam2fastq'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']},{'id': '4', 'type': 'identifier', 'children': [], 'value': '... | def sam2fastq(sam, singles = False, force = False):
L, R = None, None
for line in sam:
if line.startswith('@') is True:
continue
line = line.strip().split()
bit = [True if i == '1' else False \
for i in bin(int(line[1])).split('b')[1][::-1]]
while len(... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_sam'},{'id': '3', 'type': 'parameters', 'children': ['4', '5']},{'id': '4', 'type': 'identifier', 'children': [], 'value': 'sam'},{... | def sort_sam(sam, sort):
tempdir = '%s/' % (os.path.abspath(sam).rsplit('/', 1)[0])
if sort is True:
mapping = '%s.sorted.sam' % (sam.rsplit('.', 1)[0])
if sam != '-':
if os.path.exists(mapping) is False:
os.system("\
sort -k1 --buffer-size=%sG -T ... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'crossmap'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9', '10', '11']},{'id': '4', 'type': 'identifier', ... | def crossmap(fas, reads, options, no_shrink, keepDB, threads, cluster, nodes):
if cluster is True:
threads = '48'
btc = []
for fa in fas:
btd = bowtiedb(fa, keepDB)
F, R, U = reads
if F is not False:
if U is False:
u = False
for i, f in... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'bit_by_bit'},{'id': '3', 'type': 'parameters', 'children': ['4', '5']},{'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | def bit_by_bit(self, in_data):
if isinstance(in_data, str):
in_data = [ord(c) for c in in_data]
register = self.NonDirectInit
for octet in in_data:
if self.ReflectIn:
octet = self.reflect(octet, 8)
for i in range(8):
topbit = re... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_ggKbase_tables'},{'id': '3', 'type': 'parameters', 'children': ['4', '5']},{'id': '4', 'type': 'identifier', 'children': [], 'valu... | def parse_ggKbase_tables(tables, id_type):
g2info = {}
for table in tables:
for line in open(table):
line = line.strip().split('\t')
if line[0].startswith('name'):
header = line
header[4] = 'genome size (bp)'
header[12] = '
... |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'top_hits'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']},{'id': '4', 'type': 'identifier', 'children': [], 'value'... | def top_hits(hits, num, column, reverse):
hits.sort(key = itemgetter(column), reverse = reverse)
for hit in hits[0:num]:
yield hit |
{'id': '0', 'type': 'module', 'children': ['1']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'numBlast_sort'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']},{'id': '4', 'type': 'identifier', 'children': [], 'v... | def numBlast_sort(blast, numHits, evalueT, bitT):
header = ['
'qstart', 'qend', 'tstart', 'tend', 'evalue', 'bitscore']
yield header
hmm = {h:[] for h in header}
for line in blast:
if line.startswith('
continue
line = line.strip().split('\t')
line[10], l... |
{'id': '0', 'type': 'module', 'children': ['1', '64', '67', '75', '267']},{'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9', '47']},{'id': '2', 'type': 'function_name', 'children': [], 'value': 'numDomtblout'},{'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']},{'id': '4', 'type... | def numDomtblout(domtblout, numHits, evalueT, bitT, sort):
if sort is True:
for hit in numDomtblout_sort(domtblout, numHits, evalueT, bitT):
yield hit
return
header = ['
'query name', 'query accession', 'qlen',
'full E-value', 'full score', 'full bias',
... |
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