참고소스 수정본
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LASTA_DEV01\lasta
224
참고/instructor-main/examples/evals/stats_dict.py
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224
참고/instructor-main/examples/evals/stats_dict.py
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from collections import Counter
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stats_dict = {
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"$.queries.length": {
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"_reverse_lookup": {
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1: [0, 1, 8, 9, 10, 13, 14, 15],
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2: [7, 11, 16],
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3: [12, 17],
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},
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"counter": Counter({1: 8, 2: 3, 3: 2}),
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"max": 3,
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"mean": 1.5384615384615385,
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"min": 1,
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"missing_values": 0,
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"std": 0.7457969011409735,
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"unique_count": 3,
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},
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"$.queries[*].is_priority": {
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"_reverse_lookup": {False: [13], True: [1, 9, 14, 17]},
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"counter": Counter({True: 4, False: 1}),
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"mean": 0.8,
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"missing_values": 15,
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"unique_count": 2,
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},
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"$.queries[*].query": {
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"_reverse_lookup": {
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"customer churn": [1],
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"customer feedback": [15],
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"customer satisfaction": [11],
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"email campaigns": [12],
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"email open rates": [17],
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"email outreach": [10],
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"marketing strategies": [14],
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"new products": [16],
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"product sales": [11],
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"revenue 2022": [9],
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"revenue streams": [16],
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"sales Q1": [0, 7, 8, 13],
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"sales Q2": [7],
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"social impact": [12],
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"social trends": [17],
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"web traffic": [12],
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"website analytics": [17],
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},
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"counter": Counter(
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{
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"sales Q1": 4,
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"customer churn": 1,
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"sales Q2": 1,
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"revenue 2022": 1,
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"email outreach": 1,
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"product sales": 1,
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"customer satisfaction": 1,
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"social impact": 1,
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"email campaigns": 1,
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"web traffic": 1,
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"marketing strategies": 1,
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"customer feedback": 1,
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"revenue streams": 1,
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"new products": 1,
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"social trends": 1,
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"email open rates": 1,
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"website analytics": 1,
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}
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),
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"missing_values": 0,
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"str_max_length": 21,
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"str_mean_length": 13.15,
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"str_min_length": 8,
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"str_std_length": 3.8376425054973518,
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"unique_count": 17,
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},
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"$.queries[*].results_limit": {
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"_reverse_lookup": {
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5: [17],
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10: [0, 1, 7, 7, 8, 9, 10, 11, 11, 12, 12, 12, 13, 15, 16, 16, 17, 17],
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15: [14],
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},
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"counter": Counter({10: 18, 15: 1, 5: 1}),
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"max": 15,
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"mean": 10.0,
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"min": 5,
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"missing_values": 0,
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"std": 1.5811388300841898,
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"unique_count": 3,
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},
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"$.queries[*].source_type.enum": {
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"_reverse_lookup": {
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"CRM": [0, 7, 8, 11, 13, 16],
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"EMAIL": [10, 11, 12, 15, 17],
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"SOCIAL_MEDIA": [12, 17],
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"WEB": [1, 7, 9, 12, 14, 16, 17],
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},
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"counter": Counter({"WEB": 7, "CRM": 6, "EMAIL": 5, "SOCIAL_MEDIA": 2}),
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"missing_values": 0,
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"str_max_length": 12,
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"str_mean_length": 4.4,
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"str_min_length": 3,
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"str_std_length": 2.672077843177477,
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"unique_count": 4,
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},
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"$.queries[*].tags": {
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"_reverse_lookup": {},
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"counter": Counter(),
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"missing_values": 16,
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"unique_count": 0,
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},
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"$.queries[*].tags.length": {
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"_reverse_lookup": {1: [15, 17], 2: [10, 14]},
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"counter": Counter({2: 2, 1: 2}),
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"max": 2,
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"mean": 1.5,
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"min": 1,
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"missing_values": 0,
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"std": 0.5,
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"unique_count": 2,
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},
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"$.queries[*].tags[*]": {
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"_reverse_lookup": {
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"2022": [10],
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"2023": [14],
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"analytics": [17],
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"feedback": [15],
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"outreach": [10],
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"strategy": [14],
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},
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"counter": Counter(
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{
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"outreach": 1,
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"2022": 1,
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"strategy": 1,
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"2023": 1,
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"feedback": 1,
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"analytics": 1,
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}
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),
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"missing_values": 0,
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"str_max_length": 9,
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"str_mean_length": 6.833333333333333,
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"str_min_length": 4,
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"str_std_length": 2.034425935955618,
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"unique_count": 6,
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},
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"$.user_id": {
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"_reverse_lookup": {
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"user_1": [0],
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"user_10": [10],
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"user_11": [11],
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"user_12": [12],
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"user_13": [13],
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"user_14": [14],
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"user_15": [15],
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"user_16": [16],
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"user_17": [17],
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"user_2": [1],
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"user_7": [7],
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"user_8": [8],
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"user_9": [9],
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},
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"counter": Counter(
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{
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"user_1": 1,
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"user_2": 1,
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"user_7": 1,
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"user_8": 1,
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"user_9": 1,
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"user_10": 1,
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"user_11": 1,
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"user_12": 1,
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"user_13": 1,
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"user_14": 1,
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"user_15": 1,
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"user_16": 1,
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"user_17": 1,
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}
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),
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"missing_values": 0,
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"str_max_length": 7,
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"str_mean_length": 6.615384615384615,
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"str_min_length": 6,
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"str_std_length": 0.48650425541052295,
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"unique_count": 13,
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},
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"_is_json_": {
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"_reverse_lookup": {
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False: [2, 4],
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True: [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17],
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},
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"counter": Counter({True: 16, False: 2}),
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"mean": 0.8888888888888888,
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"missing_values": 0,
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"unique_count": 2,
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},
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"_is_valid_": {
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"_reverse_lookup": {
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False: [3, 5, 6],
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True: [0, 1, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17],
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},
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"counter": Counter({True: 13, False: 3}),
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"mean": 0.8125,
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"missing_values": 0,
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"unique_count": 2,
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},
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"_validation_error_": {
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"_reverse_lookup": {
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"$.queries.[*].is_priority.bool_parsing": [6],
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"$.queries.[*].source_type.enum": [3],
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"$.user_id.missing": [5],
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},
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"counter": Counter(
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{
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"$.queries.[*].source_type.enum": 1,
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"$.user_id.missing": 1,
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"$.queries.[*].is_priority.bool_parsing": 1,
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}
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),
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"missing_values": 0,
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"str_max_length": 38,
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"str_mean_length": 28.333333333333332,
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"str_min_length": 17,
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"str_std_length": 8.653836657164781,
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"unique_count": 3,
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},
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}
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